suppressPackageStartupMessages(
library( tidyverse ) )
Tidyverse Übersicht
Vorbemerkung
Diese Übersicht listet alle wichtigen Tidyverse-Verben mit je einem kurzen Beispiel. Sie bietet keine vollständie Beschreibung der Verben. Hierzu schlagen Sie bitte in den ausführlichen Skripten nach – oder lesen Sie Kapitel 5 des R4DS-Buchs.
Ebenso beschreibt diese Übersicht nur Funktionen, die Tidyverse-Verben sind (also die “äußeren” Funktionen in einer Tidyverse-Pipeline), nicht die inneren, um die eigentlichen Rechnungen (z.B. Mittelwerte usw.) auszuführen.
Laden von Tidyverse
Pfeile
Für die Bedeutung der Pfeile, also, <-
, ->
und %>%
siehe einführende Skripten.
Tabelle erstellen: tibble
Mit tibble
erstellt man eine Tabelle, indem man die Spalten mit Namen (Spalten-Überschrift) und Inhalt auflistet:
tibble(
number = 1:7,
fruit = c( "apple", "pear", "apple", "cherry", "cherry", "pear", "pear" ),
mass_in_gram = c( 153, 122, 177, 8, 9, 129, 133 )
-> fruit_tbl
)
fruit_tbl
# A tibble: 7 × 3
number fruit mass_in_gram
<int> <chr> <dbl>
1 1 apple 153
2 2 pear 122
3 3 apple 177
4 4 cherry 8
5 5 cherry 9
6 6 pear 129
7 7 pear 133
Tabelle einlesen: read.csv
u.a.
Mit read.csv
liest man eine im CSV-Format (“comma-spearated values”) als Textdatei gespeicherte Tabelle ein:
read.csv( "Downloads/nhanes.csv" ) -> nhanes
nhanes
subjectId gender age height weight ethnicity
1 93703 female 2 88.6 13.7 NH Asian
2 93704 male 2 94.2 13.9 NH White
3 93705 female 66 158.3 79.5 NH Black
4 93706 male 18 175.7 66.3 NH Asian
5 93707 male 13 158.4 45.4 Other/Mixed
6 93708 female 66 150.2 53.5 NH Asian
7 93709 female 75 151.1 88.8 NH Black
8 93710 female 0 NA 10.2 NH White
9 93711 male 56 170.6 62.1 NH Asian
10 93712 male 18 172.8 58.9 Mexican
11 93713 male 67 178.6 74.9 NH White
12 93714 female 54 147.8 87.1 NH Black
13 93715 male 71 170.6 65.6 Other/Mixed
14 93716 male 61 159.2 77.7 NH Asian
15 93717 male 22 174.1 74.4 NH White
16 93718 male 45 157.3 54.4 NH Black
17 93719 female 13 160.5 67.0 NH White
18 93720 female 1 NA 10.6 NH Black
19 93721 female 60 154.0 85.1 Mexican
20 93722 female 60 154.6 56.8 NH White
21 93723 male 64 170.1 64.9 NH White
22 93724 female 5 111.4 18.2 NH Black
23 93725 female 9 145.8 34.3 NH White
24 93726 female 67 154.5 74.3 Mexican
25 93727 male 70 161.9 62.7 NH Asian
26 93728 male 53 188.1 118.1 NH Black
27 93729 male 42 173.2 82.8 NH Black
28 93730 male 57 167.6 80.2 Other Hispanic
29 93731 male 20 179.9 89.2 Mexican
30 93732 male 72 162.4 56.1 NH White
31 93733 female 11 142.6 40.8 NH White
32 93735 male 52 147.7 76.5 Other Hispanic
33 93736 male 11 143.4 36.9 Mexican
34 93737 male 8 137.6 35.0 NH Black
35 93738 male 26 170.2 97.7 Other Hispanic
36 93739 female 5 116.3 22.5 Mexican
37 93740 male 72 183.4 102.9 NH Black
38 93741 female 9 135.8 31.9 NH Asian
39 93742 male 72 178.3 107.9 NH Black
40 93743 male 61 187.8 79.3 NH White
41 93744 female 10 154.7 50.8 NH White
42 93745 male 5 107.1 16.8 NH Asian
43 93746 female 25 158.4 62.1 NH Black
44 93747 female 13 157.7 55.0 Other Hispanic
45 93748 male 0 NA 9.3 Mexican
46 93749 female 1 NA 8.3 NH White
47 93751 female 7 133.9 45.1 Mexican
48 93752 female 73 153.6 60.1 NH White
49 93753 female 10 151.4 56.3 NH White
50 93754 male 72 161.5 87.2 Other Hispanic
51 93755 female 26 178.5 93.8 NH Black
52 93756 female 64 160.7 75.4 NH Black
53 93757 male 63 174.9 106.7 NH White
54 93758 female 55 156.9 75.8 NH White
55 93759 male 60 158.6 73.1 Other/Mixed
56 93760 female 54 150.6 85.6 Mexican
57 93761 male 44 166.4 80.2 NH Asian
58 93762 female 74 149.8 60.8 Mexican
59 93763 male 40 181.5 84.1 NH White
60 93764 female 1 NA 9.2 NH White
61 93765 male 19 169.9 63.1 NH White
62 93766 female 36 156.6 66.4 Other Hispanic
63 93767 male 61 164.7 86.4 Other Hispanic
64 93768 male 80 174.9 78.5 NH White
65 93769 male 6 124.7 23.5 Other/Mixed
66 93770 male 55 172.3 77.1 Other Hispanic
67 93771 male 3 97.5 13.3 NH Asian
68 93772 female 55 161.9 80.6 NH Black
69 93773 male 69 176.0 74.6 NH White
70 93774 female 41 165.5 70.9 NH White
71 93775 female 47 150.4 58.5 NH Asian
72 93776 female 32 157.8 55.4 NH Black
73 93777 female 72 NA NA NH Black
74 93778 female 19 163.6 73.3 NH Black
75 93779 female 10 138.9 31.7 Other/Mixed
76 93780 female 46 161.7 87.5 Other/Mixed
77 93781 male 32 154.9 61.0 Other Hispanic
78 93782 female 25 164.7 65.1 NH Black
79 93783 female 21 156.9 59.9 Other Hispanic
80 93784 female 2 86.2 12.4 NH White
81 93785 female 80 155.0 73.7 NH White
82 93787 female 13 162.1 58.7 Other/Mixed
83 93788 female 66 169.5 112.8 NH White
84 93789 female 34 173.4 71.0 NH White
85 93790 female 5 103.3 15.9 Other/Mixed
86 93791 male 20 165.2 100.6 Other/Mixed
87 93792 female 31 160.4 48.7 Other Hispanic
88 93793 male 12 153.7 67.5 Mexican
89 93794 female 62 157.1 59.1 NH Asian
90 93795 male 64 168.6 44.5 NH Black
91 93796 male 71 176.6 97.4 NH White
92 93797 female 52 164.3 86.3 NH White
93 93798 female 61 173.0 85.4 NH Black
94 93799 male 41 177.0 71.3 NH Black
95 93800 female 80 162.8 60.2 NH White
96 93801 male 59 179.0 79.0 Other Hispanic
97 93802 female 2 90.8 15.4 NH White
98 93803 male 12 166.4 55.4 NH Black
99 93804 male 1 NA 12.0 NH White
100 93805 female 64 162.9 89.9 NH White
101 93806 male 44 176.1 88.2 NH Asian
102 93807 female 13 157.8 103.6 Mexican
103 93808 male 14 186.1 97.1 NH White
104 93809 male 1 NA 11.5 Other/Mixed
105 93810 male 13 166.7 80.6 NH Black
106 93811 male 24 164.2 79.6 NH Asian
107 93812 male 67 174.8 94.9 NH White
108 93813 female 42 155.3 104.3 Mexican
109 93814 female 41 168.9 79.3 NH Black
110 93815 female 32 161.5 72.9 Other/Mixed
111 93816 female 80 NA NA Other Hispanic
112 93817 male 55 158.7 61.3 NH Asian
113 93818 male 14 176.0 87.6 Mexican
114 93819 female 63 143.7 57.7 NH Black
115 93820 female 11 162.7 72.6 NH Black
116 93821 female 16 161.4 55.0 NH Asian
117 93822 female 6 113.0 24.8 Mexican
118 93823 female 58 159.8 85.3 Other Hispanic
119 93824 female 52 159.4 72.2 Other Hispanic
120 93825 male 74 174.2 92.7 NH White
121 93827 female 68 161.9 52.3 NH Asian
122 93828 female 2 87.4 12.7 NH White
123 93829 female 38 161.4 82.5 NH Black
124 93830 male 67 186.1 111.4 NH Black
125 93831 male 61 171.9 74.9 Other Hispanic
126 93832 male 63 172.3 80.3 NH Asian
127 93833 male 6 126.3 23.4 NH White
128 93834 female 48 161.7 95.4 NH White
129 93836 female 13 163.9 52.5 Mexican
130 93837 female 35 166.8 108.7 NH White
131 93838 male 5 126.4 40.1 Mexican
132 93839 female 50 177.4 94.6 NH White
133 93840 male 47 180.7 78.3 NH Asian
134 93841 female 48 171.5 96.5 Other/Mixed
135 93842 male 2 84.8 10.6 NH Black
136 93843 female 42 163.8 56.3 Other Hispanic
137 93844 male 6 125.0 38.7 NH White
138 93845 female 28 165.3 67.9 NH White
139 93846 female 29 165.9 54.6 NH Black
140 93847 female 43 156.6 100.4 Mexican
141 93848 male 62 171.1 85.0 NH Black
142 93849 female 40 164.6 61.4 NH White
143 93850 female 74 155.6 65.3 NH Black
144 93851 female 74 149.1 69.3 NH White
145 93852 female 45 171.0 79.6 Other/Mixed
146 93853 male 50 165.4 71.1 Mexican
147 93854 male 0 NA 8.6 NH White
148 93855 male 71 165.1 97.1 NH White
149 93856 male 66 176.9 134.0 NH Black
150 93857 female 3 100.0 16.4 NH White
151 93858 female 19 147.3 36.2 Other/Mixed
152 93859 male 73 165.9 61.9 NH Black
153 93861 male 76 176.2 98.1 NH White
154 93862 male 2 93.1 16.0 Mexican
155 93863 male 50 172.9 94.4 NH Asian
156 93864 female 12 154.3 57.4 Other Hispanic
157 93865 male 0 NA 7.8 NH White
158 93866 male 26 171.4 64.6 NH White
159 93867 female 2 86.4 13.2 Mexican
160 93868 male 68 171.4 103.9 NH Black
161 93869 male 80 176.7 71.6 NH White
162 93870 female 20 158.1 47.4 NH White
163 93871 female 55 158.8 54.0 Mexican
164 93873 female 16 159.4 78.5 Mexican
165 93874 female 8 127.2 21.4 Mexican
166 93875 male 37 174.4 75.8 NH Black
167 93876 male 10 150.9 56.6 Mexican
168 93877 male 64 178.8 79.0 NH White
169 93878 female 59 162.5 63.6 NH Black
170 93879 female 7 129.2 27.6 NH White
171 93880 female 5 118.7 22.7 NH White
172 93881 female 8 131.6 34.6 Mexican
173 93883 female 30 164.7 114.5 NH Black
174 93884 male 19 172.9 63.7 NH White
175 93885 male 8 137.1 29.4 NH Black
176 93887 male 63 174.2 78.4 NH White
177 93888 female 37 167.6 59.7 NH White
178 93890 male 27 177.5 74.9 NH Asian
179 93891 female 56 145.4 94.2 Mexican
180 93892 female 80 167.0 100.2 NH White
181 93893 male 55 178.0 89.4 NH Black
182 93894 female 66 162.3 73.2 NH White
183 93895 male 40 181.9 112.8 NH White
184 93896 male 10 147.8 65.8 NH White
185 93897 female 10 149.0 58.7 NH White
186 93898 male 5 118.3 24.8 NH Black
187 93899 male 67 174.5 91.5 NH White
188 93900 male 48 163.1 82.3 Mexican
189 93901 female 12 155.3 62.3 Mexican
190 93902 female 24 158.2 68.8 Mexican
191 93903 male 62 166.3 89.0 NH White
192 93904 male 10 154.1 68.2 Other/Mixed
193 93905 male 15 172.4 57.2 NH Asian
194 93906 male 39 169.3 83.4 Mexican
195 93907 female 41 173.7 80.6 NH Black
196 93908 female 20 162.0 71.1 NH Asian
197 93909 male 41 165.9 68.2 NH Asian
198 93911 male 6 121.0 30.1 NH White
199 93912 female 25 160.2 170.0 NH Black
200 93913 female 40 160.3 63.7 NH Asian
201 93914 male 41 176.6 107.9 NH Asian
202 93915 male 34 176.7 75.8 NH White
203 93916 male 28 168.5 70.2 NH Asian
204 93917 male 14 174.6 53.8 NH White
205 93918 male 36 192.9 114.6 NH White
206 93919 female 8 133.8 24.0 NH White
207 93920 female 61 154.2 49.6 NH Asian
208 93921 female 7 123.3 22.9 NH White
209 93922 male 11 147.9 49.3 Other Hispanic
210 93923 male 52 188.5 107.7 NH White
211 93924 female 70 151.8 58.9 NH White
212 93925 female 13 155.3 41.7 NH Black
213 93926 male 31 172.1 106.9 Other/Mixed
214 93927 female 54 156.1 59.8 NH White
215 93928 male 11 166.4 37.5 NH White
216 93929 female 35 171.5 79.3 NH White
217 93930 male 80 168.1 84.1 Other Hispanic
218 93931 male 24 178.7 112.4 Other/Mixed
219 93932 female 54 158.6 78.7 NH Asian
220 93934 female 0 NA 5.2 NH White
221 93935 male 39 NA NA Mexican
222 93936 male 0 NA 9.7 NH White
223 93937 male 30 175.1 99.8 NH White
224 93938 female 18 163.2 63.1 Other/Mixed
225 93939 female 40 153.3 67.7 NH Black
226 93940 male 50 166.2 68.5 NH White
227 93941 male 42 167.6 79.5 Other/Mixed
228 93942 female 52 169.4 97.5 NH White
229 93944 female 2 89.7 12.9 Mexican
230 93945 male 66 162.6 61.3 NH Black
231 93946 male 22 169.2 62.0 Mexican
232 93947 female 53 146.7 55.3 NH Asian
233 93948 male 13 160.5 45.1 NH Black
234 93949 female 49 150.7 55.9 NH Asian
235 93950 male 30 159.5 88.8 Other Hispanic
236 93951 female 0 NA 7.6 NH Black
237 93952 female 34 161.7 98.8 NH White
238 93953 male 26 171.4 118.1 Other/Mixed
239 93954 male 24 167.7 65.1 NH White
240 93955 female 66 NA NA Mexican
241 93957 female 41 166.5 80.7 NH White
242 93958 female 2 92.0 12.2 NH Black
243 93959 female 61 171.0 74.5 NH Black
244 93960 male 60 175.2 126.9 NH Black
245 93962 male 0 NA 8.1 NH White
246 93963 male 80 173.8 99.3 NH White
247 93964 male 52 172.0 85.5 NH Asian
248 93965 female 30 159.5 57.5 Other Hispanic
249 93966 male 0 NA 4.0 NH White
250 93967 male 1 NA 15.7 NH White
251 93968 male 57 171.8 77.1 NH Black
252 93969 female 33 163.9 60.3 NH White
253 93970 male 33 166.4 69.6 NH Asian
254 93971 male 40 168.7 108.8 NH Black
255 93972 male 35 186.3 102.8 NH White
256 93973 female 14 151.5 58.4 Other Hispanic
257 93974 male 59 181.8 96.8 NH White
258 93975 female 54 161.4 70.9 NH White
259 93976 female 0 NA 8.1 Other Hispanic
260 93977 female 66 162.1 78.7 NH Black
261 93978 male 57 168.0 59.8 NH Asian
262 93979 male 16 173.9 76.8 NH White
263 93980 female 29 173.8 58.0 NH White
264 93981 female 52 157.3 66.3 NH Asian
265 93982 female 57 171.4 60.1 NH White
266 93983 female 75 143.6 67.2 NH Asian
267 93984 female 32 160.7 81.9 NH White
268 93985 female 61 146.9 58.0 Other Hispanic
269 93986 female 7 117.9 21.3 NH Black
270 93987 male 35 170.0 113.4 Mexican
271 93988 female 32 163.6 49.0 NH White
272 93989 female 39 163.1 56.8 NH White
273 93990 female 64 158.4 93.6 NH White
274 93991 male 12 157.0 66.1 Other Hispanic
275 93992 female 12 153.5 41.2 NH Asian
276 93993 female 2 101.0 19.1 NH White
277 93994 female 0 NA 5.0 NH Black
278 93995 female 12 161.5 52.7 NH White
279 93996 male 3 102.7 20.1 Other Hispanic
280 93997 female 11 159.7 44.8 NH White
281 93998 female 24 159.1 51.5 NH White
282 93999 female 23 166.7 69.2 NH Black
283 94001 female 18 158.6 51.6 Mexican
284 94002 female 27 156.5 100.0 NH Black
285 94003 female 75 158.2 64.1 Mexican
286 94004 female 25 159.2 76.3 NH Asian
287 94005 male 7 129.8 36.2 Mexican
288 94006 male 13 165.4 52.9 Mexican
289 94007 male 79 162.3 62.9 NH Black
290 94008 female 46 160.6 89.5 Mexican
291 94009 female 11 155.0 48.5 Other Hispanic
292 94010 male 71 183.3 87.6 NH White
293 94011 female 7 118.7 23.7 NH Asian
294 94012 female 25 164.8 68.4 Other/Mixed
295 94013 male 56 174.5 68.1 NH White
296 94014 female 6 119.0 17.9 NH Asian
297 94015 female 30 159.8 67.0 NH White
298 94016 male 70 173.7 65.0 Other/Mixed
299 94017 male 54 170.5 92.5 NH White
300 94019 female 64 163.2 70.3 NH Black
301 94020 male 3 92.6 14.4 NH White
302 94021 female 38 159.8 88.0 NH White
303 94022 female 1 NA 10.8 Other Hispanic
304 94024 male 10 138.5 34.3 Other Hispanic
305 94025 female 5 103.9 16.2 NH Asian
306 94026 female 80 148.7 56.6 NH White
307 94027 male 20 165.9 77.9 Mexican
308 94028 female 39 166.8 60.8 Other Hispanic
309 94029 female 46 166.2 68.9 NH White
310 94030 male 45 193.9 108.1 NH White
311 94031 male 67 173.9 78.2 NH Black
312 94032 male 10 140.6 48.7 Other/Mixed
313 94033 female 55 159.7 74.4 Other Hispanic
314 94034 female 54 144.5 66.5 Other Hispanic
315 94035 female 12 160.6 78.3 Other/Mixed
316 94036 female 12 145.8 43.1 Mexican
317 94037 male 59 167.7 74.3 NH Asian
318 94038 female 59 162.5 80.0 Mexican
319 94039 male 60 169.0 84.4 NH Asian
320 94040 male 28 169.6 92.4 Other/Mixed
321 94041 female 60 167.2 62.8 Other Hispanic
322 94042 male 26 178.7 75.0 Other/Mixed
323 94043 male 64 167.5 62.2 NH Asian
324 94044 female 34 157.5 54.0 Other Hispanic
325 94045 male 62 168.5 74.2 Other Hispanic
326 94046 male 46 170.0 82.9 Other Hispanic
327 94047 female 45 162.3 93.7 Mexican
328 94048 male 80 171.0 63.3 NH White
329 94049 female 66 143.7 121.2 NH Black
330 94050 female 55 171.2 80.1 NH White
331 94051 female 80 155.3 70.1 NH White
332 94052 male 4 104.2 15.6 NH Black
333 94053 female 62 156.6 91.9 NH Black
334 94054 male 50 172.5 90.6 Mexican
335 94055 male 80 165.2 56.5 NH Black
336 94056 male 8 135.9 28.1 NH Black
337 94057 female 62 161.5 84.0 NH White
338 94058 female 61 158.4 112.4 NH White
339 94059 female 54 145.4 65.8 Mexican
340 94060 male 59 175.8 126.6 NH White
341 94061 female 36 154.2 78.3 Mexican
342 94062 male 5 124.3 25.9 NH White
343 94063 male 2 88.1 14.0 NH White
344 94064 male 17 176.0 124.6 Mexican
345 94065 female 69 151.4 62.7 NH Black
346 94066 female 1 NA 12.0 NH White
347 94067 male 44 166.0 98.6 Mexican
348 94068 male 69 181.8 93.3 NH White
349 94069 male 61 183.5 105.5 NH White
350 94070 female 8 128.8 26.0 NH Asian
351 94071 male 33 169.2 76.0 NH Asian
352 94072 male 0 NA 6.6 Mexican
353 94073 male 69 166.8 97.2 Other Hispanic
354 94074 male 29 173.2 61.9 NH White
355 94075 male 9 135.9 41.7 Mexican
356 94076 male 2 90.5 15.5 Mexican
357 94078 female 19 173.4 78.9 NH White
358 94079 female 0 NA 5.4 Mexican
359 94080 female 79 163.2 59.4 NH White
360 94081 male 80 160.1 63.3 NH Asian
361 94082 female 69 158.1 55.7 NH White
362 94083 male 7 118.7 22.4 Other Hispanic
363 94084 female 61 148.8 64.3 NH Asian
364 94086 female 80 159.0 63.8 NH White
365 94087 male 19 185.2 83.4 NH White
366 94088 female 1 NA 14.4 NH White
367 94089 female 12 149.6 57.3 NH Black
368 94090 female 16 153.0 77.2 Mexican
369 94091 male 11 147.4 40.7 Mexican
370 94092 male 52 171.1 79.3 Mexican
371 94093 male 36 189.1 123.0 NH White
372 94094 female 15 170.0 132.7 NH Black
373 94095 female 78 151.7 66.7 NH Black
374 94096 male 80 173.0 80.0 NH White
375 94097 female 62 160.1 91.5 NH White
376 94098 female 23 163.2 80.8 NH Black
377 94099 female 20 155.2 83.1 Other/Mixed
378 94100 female 0 NA 6.9 Other Hispanic
379 94101 female 64 158.0 74.2 NH Asian
380 94103 male 7 132.6 27.2 NH White
381 94104 female 7 123.9 28.9 Mexican
382 94105 female 46 162.7 74.0 Mexican
383 94106 male 19 180.3 74.7 Mexican
384 94107 female 11 140.6 42.3 NH White
385 94108 male 64 165.0 71.9 Mexican
386 94109 female 13 159.2 62.4 NH White
387 94110 male 3 93.9 13.4 NH White
388 94111 female 2 85.7 12.3 NH White
389 94112 male 28 162.5 74.0 Mexican
390 94113 female 60 159.0 59.2 NH White
391 94114 male 20 187.9 60.8 NH Black
392 94115 male 1 NA 10.2 NH White
393 94116 female 60 167.4 70.2 NH White
394 94117 female 57 165.3 204.4 NH White
395 94118 female 50 163.7 71.7 Other Hispanic
396 94119 male 57 173.5 70.8 NH Black
397 94121 female 12 160.6 63.3 NH White
398 94122 male 33 168.5 72.8 Other Hispanic
399 94124 male 55 173.0 83.1 Other Hispanic
400 94125 male 13 165.9 88.7 NH Asian
401 94126 female 62 155.0 80.7 NH Black
402 94127 female 34 160.4 65.7 NH Asian
403 94128 male 35 180.0 124.1 NH Black
404 94129 male 7 123.4 28.7 NH Black
405 94130 female 27 163.7 70.9 NH Black
406 94131 female 39 169.1 129.0 NH White
407 94132 male 14 174.5 65.5 NH Black
408 94133 male 28 177.1 75.1 Mexican
409 94134 female 61 156.2 70.1 Other Hispanic
410 94135 female 37 163.2 69.3 Other Hispanic
411 94136 male 10 140.4 31.4 Other Hispanic
412 94137 female 49 153.3 57.5 NH Black
413 94138 female 72 152.9 58.8 NH Asian
414 94139 female 49 163.3 85.4 Other Hispanic
415 94140 male 17 169.4 97.6 Mexican
416 94141 male 71 178.2 77.6 NH Black
417 94142 male 5 113.9 17.7 Other/Mixed
418 94143 male 3 103.5 17.2 NH Black
419 94144 male 18 173.5 122.6 Other/Mixed
420 94145 female 15 157.4 77.8 Other Hispanic
421 94146 female 2 88.9 14.4 NH White
422 94148 female 18 165.3 44.7 Mexican
423 94149 male 14 167.3 88.3 NH Black
424 94150 male 68 162.5 90.2 NH White
425 94151 male 23 173.1 83.7 Other Hispanic
426 94152 female 64 160.8 55.1 NH White
427 94153 male 10 151.1 33.1 Other/Mixed
428 94154 female 80 145.7 49.6 NH White
429 94155 male 56 178.0 120.5 NH Asian
430 94156 female 63 150.9 65.6 Mexican
431 94157 female 60 148.4 40.4 NH Asian
432 94158 male 66 161.8 94.6 Mexican
433 94159 female 13 151.0 52.9 Mexican
434 94160 female 22 176.7 72.1 NH White
435 94161 male 53 177.3 68.7 NH Asian
436 94162 male 64 156.9 59.2 Other Hispanic
437 94163 male 35 177.4 77.3 NH White
438 94164 female 18 159.4 53.1 NH Asian
439 94165 female 9 142.1 34.7 NH Black
440 94166 male 28 174.5 96.1 NH White
441 94167 male 17 168.7 49.7 Other/Mixed
442 94168 female 66 157.8 80.8 Other Hispanic
443 94169 male 26 170.4 75.2 NH Asian
444 94170 male 2 97.9 15.4 NH Black
445 94171 male 8 139.8 38.9 NH Black
446 94172 female 2 94.5 15.1 NH White
447 94173 female 68 153.1 78.7 NH Black
448 94174 female 45 148.8 57.2 Mexican
449 94175 male 77 170.4 75.9 NH White
450 94176 female 24 162.1 72.9 NH White
451 94177 female 59 145.7 54.9 Mexican
452 94178 male 34 172.0 128.6 NH White
453 94179 male 72 166.3 137.5 NH White
454 94180 female 7 133.4 48.6 NH White
455 94181 female 36 156.4 77.7 NH Asian
456 94182 female 59 158.2 58.0 NH White
457 94183 male 49 186.1 154.1 NH White
458 94184 male 8 133.8 26.9 NH White
459 94185 male 3 99.4 17.8 Mexican
460 94186 female 13 167.0 52.0 NH Black
461 94187 female 54 144.7 62.0 NH Asian
462 94189 female 21 158.3 100.6 Mexican
463 94190 male 43 175.3 78.9 NH Asian
464 94191 female 2 91.8 14.5 NH White
465 94192 female 54 154.0 99.1 NH White
466 94193 female 58 168.8 117.1 NH Black
467 94194 female 9 132.5 27.4 NH White
468 94195 female 16 156.9 38.6 NH White
469 94196 female 0 NA 5.1 NH White
470 94197 female 8 147.4 67.2 NH Black
471 94198 female 63 155.4 68.7 Mexican
472 94199 male 69 165.6 59.7 NH Asian
473 94200 female 26 155.4 91.3 Other Hispanic
474 94201 male 77 166.8 65.3 NH Asian
475 94202 male 70 189.9 132.6 NH White
476 94203 male 2 96.0 16.2 Other Hispanic
477 94205 female 73 153.5 87.7 NH White
478 94206 male 56 169.3 77.9 NH Asian
479 94207 male 62 166.7 85.6 NH Black
480 94208 female 45 160.4 118.4 NH Black
481 94209 female 0 NA 8.7 Other Hispanic
482 94210 male 80 176.1 75.2 NH Black
483 94211 female 23 162.8 49.4 NH White
484 94212 female 67 148.5 48.6 NH Asian
485 94214 female 19 159.6 56.4 NH White
486 94215 male 0 NA 5.7 NH White
487 94216 female 67 162.0 79.2 NH Black
488 94217 male 18 186.5 91.3 NH Asian
489 94218 female 5 113.6 18.1 NH White
490 94219 female 23 155.6 55.0 Mexican
491 94220 female 17 165.3 72.7 NH Black
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501 94230 male 15 162.9 59.1 NH Black
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504 94234 female 10 147.6 42.1 Other/Mixed
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506 94236 male 5 120.4 36.5 NH Black
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508 94238 female 15 160.5 51.9 NH Black
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510 94242 male 60 174.6 76.2 NH Black
511 94243 male 80 170.0 81.6 Other/Mixed
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516 94249 female 66 163.6 90.8 NH Black
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518 94251 female 22 162.0 65.1 NH White
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520 94253 female 70 160.0 94.3 Other/Mixed
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524 94257 male 11 146.5 33.0 NH Asian
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527 94260 female 48 147.0 74.6 NH Asian
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539 94272 male 16 177.9 78.4 NH White
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550 94283 female 60 162.5 119.8 NH Black
551 94284 female 58 172.7 77.4 NH Black
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557 94292 female 14 162.7 55.2 NH Asian
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570 94306 female 22 170.2 53.7 NH White
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592 94329 female 6 130.3 28.2 NH Black
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624 94364 female 19 166.3 75.9 NH White
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632 94372 male 68 175.8 113.8 NH Black
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635 94375 female 30 159.7 55.4 Other/Mixed
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641 94381 female 80 163.4 74.0 NH Black
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648 94388 female 33 165.4 90.6 NH Black
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662 94402 male 10 151.6 64.3 NH White
663 94403 female 7 115.0 19.4 NH White
664 94404 female 80 156.6 54.6 NH White
665 94405 female 39 159.1 78.6 NH White
666 94406 female 34 165.7 121.2 NH Black
667 94407 female 76 161.5 81.7 NH White
668 94408 male 72 173.4 58.9 NH White
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673 94413 male 16 174.6 79.1 Other/Mixed
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677 94417 female 3 95.4 14.6 NH White
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679 94419 female 10 135.5 27.6 NH Black
680 94420 female 80 162.9 80.2 NH White
681 94421 female 75 143.6 53.0 NH Asian
682 94422 female 2 91.6 15.2 NH White
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685 94425 female 75 157.7 74.9 NH White
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732 94474 male 55 183.6 77.4 NH White
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734 94476 female 55 170.8 70.6 NH White
735 94477 female 58 151.7 39.4 NH Black
736 94478 female 37 163.6 60.6 NH Black
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741 94483 female 74 160.1 80.3 Other/Mixed
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745 94487 male 29 179.2 96.9 NH Black
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754 94496 male 3 96.1 14.6 NH White
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758 94500 female 60 168.7 101.1 NH Black
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763 94505 male 7 124.1 31.1 Mexican
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765 94507 male 34 167.6 127.4 NH Black
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768 94510 female 49 158.2 81.6 NH White
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991 94745 male 19 179.2 100.4 NH White
992 94747 female 59 158.8 62.8 NH White
993 94748 female 51 160.8 63.3 NH Black
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1002 94759 male 6 107.1 16.9 Other Hispanic
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1005 94763 male 43 187.4 125.3 NH Black
1006 94764 female 43 169.5 119.3 NH Black
1007 94765 male 55 172.0 77.4 NH White
1008 94766 male 42 176.7 103.2 NH Black
1009 94767 male 69 171.3 141.9 Other/Mixed
1010 94768 male 80 168.4 98.3 NH White
1011 94770 male 0 NA 10.1 NH Black
1012 94771 female 42 164.9 69.3 NH White
1013 94772 male 17 177.7 53.7 Other/Mixed
1014 94773 male 32 166.7 85.6 Mexican
1015 94774 female 17 157.7 53.9 NH White
1016 94775 female 26 159.3 81.1 NH Black
1017 94776 male 72 167.4 71.3 Other Hispanic
1018 94777 female 80 155.5 54.8 NH White
1019 94778 female 9 141.4 33.3 NH White
1020 94779 male 80 171.4 87.7 NH White
1021 94780 male 74 165.4 82.4 Mexican
1022 94781 female 9 129.7 26.9 NH Asian
1023 94782 female 16 162.6 51.3 NH White
1024 94783 female 28 157.8 58.7 NH Asian
1025 94784 male 4 93.2 14.6 NH White
1026 94785 male 55 165.0 72.5 NH Asian
1027 94786 female 24 164.7 86.7 NH White
1028 94787 male 19 173.2 79.8 Mexican
1029 94788 female 53 158.2 53.8 NH Asian
1030 94789 female 8 127.2 27.1 NH Black
1031 94790 male 0 NA 3.9 NH Black
1032 94792 male 66 164.0 66.1 NH Asian
1033 94793 male 40 167.8 92.6 Mexican
1034 94794 female 0 NA 8.9 NH White
1035 94795 female 27 160.0 53.8 Mexican
1036 94796 male 0 NA 8.2 Mexican
1037 94797 female 66 153.3 60.0 NH Asian
1038 94799 female 17 155.9 63.5 Mexican
1039 94800 male 6 115.7 21.3 NH White
1040 94801 male 45 176.4 96.1 NH Black
1041 94802 male 22 166.4 86.4 Other Hispanic
1042 94804 male 16 164.0 55.1 NH Black
1043 94805 male 62 176.4 129.8 Other/Mixed
1044 94806 male 55 161.1 76.2 Other Hispanic
1045 94807 male 12 161.9 65.4 Mexican
1046 94808 female 41 163.5 86.7 NH Black
1047 94809 female 79 NA NA Mexican
1048 94810 male 56 184.1 71.9 Other/Mixed
1049 94811 male 68 175.2 89.1 NH Black
1050 94812 male 46 168.0 77.9 NH Asian
1051 94813 female 62 153.5 62.8 NH Asian
1052 94814 female 11 147.6 41.3 Mexican
1053 94815 male 1 NA 9.5 NH Black
1054 94816 female 18 161.4 45.7 NH White
1055 94819 female 32 153.0 56.1 Mexican
1056 94820 female 16 156.4 73.0 NH Black
1057 94821 male 15 185.5 95.8 NH Asian
1058 94822 female 11 152.7 54.5 NH Black
1059 94823 female 1 NA 13.1 NH Black
1060 94824 male 2 85.8 12.9 NH White
1061 94825 female 6 124.3 24.1 Other/Mixed
1062 94826 female 66 166.3 82.5 NH Black
1063 94827 female 9 132.9 27.0 NH Black
1064 94828 male 2 88.7 18.3 NH Black
1065 94829 female 80 145.6 64.0 NH White
1066 94830 female 0 NA 4.8 NH White
1067 94831 female 64 167.0 56.7 NH White
1068 94832 female 71 160.1 74.4 NH White
1069 94833 female 15 166.7 56.9 Mexican
1070 94834 female 62 157.1 89.0 NH White
1071 94835 female 59 162.5 85.1 NH White
1072 94836 female 71 156.1 74.4 NH White
1073 94837 female 33 154.0 54.5 Mexican
1074 94839 female 4 105.0 18.5 NH White
1075 94840 female 16 161.3 55.4 NH White
1076 94841 female 14 157.5 53.9 Other Hispanic
1077 94842 female 12 152.5 73.2 Mexican
1078 94843 female 3 107.3 20.1 NH White
1079 94844 male 36 177.0 87.1 NH White
1080 94845 male 0 NA 5.8 Other Hispanic
1081 94846 male 4 104.3 17.7 NH Black
1082 94847 female 80 165.8 115.5 NH Black
1083 94848 female 32 160.0 74.2 Other Hispanic
1084 94849 female 0 NA 10.0 Other/Mixed
1085 94850 male 46 165.1 57.7 NH White
1086 94851 female 8 140.4 36.5 NH Asian
1087 94852 male 33 173.6 108.0 Mexican
1088 94853 male 2 NA 14.6 Other Hispanic
1089 94854 female 52 154.1 69.5 NH White
1090 94855 male 54 168.7 54.7 NH Black
1091 94856 female 77 159.0 58.8 NH White
1092 94857 female 35 171.7 138.1 Other Hispanic
1093 94858 female 44 161.0 100.5 NH White
1094 94859 female 14 159.2 106.3 NH White
1095 94860 female 33 168.7 106.0 NH Black
1096 94861 female 56 151.9 86.8 NH Black
1097 94862 female 53 163.3 52.3 NH Asian
1098 94863 male 51 167.8 92.6 Other Hispanic
1099 94864 male 16 171.9 58.2 Other Hispanic
1100 94865 female 11 151.0 62.3 NH Black
1101 94867 male 55 185.1 109.2 NH White
1102 94868 male 59 187.0 129.0 Other Hispanic
1103 94869 male 2 90.7 16.2 NH White
1104 94870 male 13 166.0 55.2 NH Black
1105 94872 male 80 178.5 72.3 NH White
1106 94873 male 21 172.5 134.9 Mexican
1107 94874 male 18 165.6 65.3 NH White
1108 94875 male 16 176.7 77.5 NH White
1109 94876 female 17 150.3 49.2 NH Asian
1110 94877 male 71 171.9 106.1 Mexican
1111 94878 female 37 171.5 95.6 NH Black
1112 94879 female 48 175.1 99.1 Other/Mixed
1113 94881 male 14 165.5 46.2 NH Asian
1114 94882 female 55 158.3 60.6 NH Asian
1115 94883 male 59 186.0 85.0 NH Black
1116 94884 female 7 124.1 24.2 Mexican
1117 94885 male 64 182.2 121.9 NH Black
1118 94886 male 19 171.6 75.0 Mexican
1119 94887 male 80 162.2 85.2 NH White
1120 94888 male 12 147.9 41.0 NH Black
1121 94889 female 41 148.5 82.2 Mexican
1122 94890 male 57 171.5 74.1 NH White
1123 94891 female 40 162.5 71.8 NH Black
1124 94892 male 61 184.3 65.2 NH White
1125 94893 female 48 165.0 88.3 Other/Mixed
1126 94894 male 50 181.3 126.5 NH White
1127 94895 female 23 173.5 48.5 Other Hispanic
1128 94896 female 50 165.3 93.5 NH Black
1129 94897 female 4 101.9 22.1 NH Black
1130 94898 female 74 153.9 96.2 NH White
1131 94899 female 32 161.0 81.5 NH Black
1132 94900 male 12 157.3 52.4 Mexican
1133 94901 female 13 158.5 52.1 NH White
1134 94902 female 67 152.1 50.3 NH Asian
1135 94903 male 49 185.4 131.9 NH Black
1136 94904 male 6 117.3 24.9 NH White
1137 94905 female 19 161.0 51.3 NH White
1138 94906 male 46 164.4 74.8 NH White
1139 94907 female 80 151.3 74.5 NH White
1140 94908 female 56 171.1 112.4 NH Black
1141 94909 male 59 180.4 105.4 NH White
1142 94910 male 18 176.4 68.3 NH White
1143 94911 male 11 141.6 39.4 NH White
1144 94912 male 10 139.6 38.7 NH White
1145 94913 female 0 NA 6.4 NH White
1146 94914 female 17 149.5 66.9 Other/Mixed
1147 94915 female 11 150.0 39.2 NH Black
1148 94916 female 26 161.1 86.0 NH Black
1149 94917 male 11 142.7 36.7 Mexican
1150 94918 male 71 180.7 109.2 Other Hispanic
1151 94919 male 5 111.8 21.0 Other Hispanic
1152 94920 female 58 152.5 87.8 NH Black
1153 94921 female 61 151.1 63.7 NH Asian
1154 94922 male 66 169.8 66.8 NH Black
1155 94923 female 15 172.3 135.5 NH Black
1156 94924 female 29 158.1 79.3 NH White
1157 94925 female 8 142.9 33.3 NH Black
1158 94926 male 37 171.8 64.2 NH White
1159 94927 female 28 154.4 101.9 NH Asian
1160 94928 male 9 136.7 43.8 NH White
1161 94929 male 78 170.5 67.7 NH White
1162 94930 female 50 155.9 117.0 NH Black
1163 94931 female 63 161.7 84.9 NH White
1164 94933 female 54 159.1 103.2 Mexican
1165 94934 female 12 152.4 40.1 NH Asian
1166 94935 female 41 163.6 77.2 Other/Mixed
1167 94936 female 25 156.5 87.0 NH Black
1168 94937 male 59 178.0 65.0 NH White
1169 94938 male 61 154.1 75.4 NH Black
1170 94939 male 31 185.5 71.6 Other/Mixed
1171 94940 female 80 149.3 75.2 Other/Mixed
1172 94941 male 28 179.2 107.5 NH Black
1173 94942 male 0 NA 7.7 NH White
1174 94943 female 5 116.2 19.1 NH Asian
1175 94944 female 17 158.6 97.1 Mexican
1176 94945 male 29 181.3 127.3 Mexican
1177 94946 male 23 188.5 127.0 NH White
1178 94947 male 8 121.5 20.5 NH Black
1179 94948 male 0 NA 8.9 NH Black
1180 94949 male 0 NA 5.5 Mexican
1181 94950 female 80 141.4 43.5 NH White
1182 94951 female 9 148.2 42.0 NH Black
1183 94952 female 63 155.6 92.4 NH White
1184 94953 female 59 155.3 125.5 NH White
1185 94954 male 34 171.7 76.7 NH Black
1186 94956 female 11 157.1 38.6 NH Black
1187 94957 male 43 175.3 101.3 NH White
1188 94958 female 58 155.1 50.9 NH Asian
1189 94959 male 48 174.0 94.4 NH Black
1190 94960 male 26 186.5 73.9 NH White
1191 94961 male 14 171.5 96.0 NH Asian
1192 94962 female 57 157.2 49.2 NH Asian
1193 94964 male 48 161.3 76.6 Mexican
1194 94965 female 14 169.7 77.1 NH White
1195 94966 male 44 184.8 93.8 Other/Mixed
1196 94967 female 40 163.5 93.0 NH Black
1197 94968 male 24 195.0 82.4 NH Black
1198 94969 male 80 182.4 98.6 NH White
1199 94970 male 55 168.4 82.1 Mexican
1200 94971 female 10 142.7 37.9 Other Hispanic
1201 94972 female 39 171.6 90.6 NH White
1202 94974 male 4 109.9 18.3 NH Black
1203 94975 male 56 161.9 62.8 NH Black
1204 94976 male 12 168.5 49.7 NH White
1205 94977 female 75 159.0 76.1 NH White
1206 94978 female 5 106.2 15.8 Other Hispanic
1207 94979 male 66 165.8 104.8 NH Black
1208 94980 female 60 156.7 64.6 NH Black
1209 94981 male 0 NA 5.5 NH White
1210 94982 female 32 168.3 58.9 NH Black
1211 94983 female 18 165.6 48.3 NH Asian
1212 94984 male 62 NA NA Other Hispanic
1213 94986 male 62 158.7 88.8 NH White
1214 94987 female 63 163.3 130.9 NH White
1215 94989 male 35 175.9 77.7 Other/Mixed
1216 94990 male 56 179.0 95.9 NH Black
1217 94991 male 26 194.5 96.5 NH Black
1218 94992 male 2 88.2 12.3 NH White
1219 94993 female 80 144.4 53.4 NH White
1220 94994 female 18 147.0 59.3 Other Hispanic
1221 94995 male 58 170.0 84.2 Other/Mixed
1222 94997 female 44 159.1 49.6 Other Hispanic
1223 94998 male 45 175.9 84.6 NH White
1224 94999 female 2 98.5 16.2 Other/Mixed
1225 95000 female 76 150.6 76.7 NH Asian
1226 95001 female 80 160.3 77.8 NH White
1227 95002 male 26 170.8 84.2 Mexican
1228 95004 male 80 185.8 93.9 NH White
1229 95005 male 46 170.8 131.4 Other/Mixed
1230 95006 male 11 146.5 37.6 NH White
1231 95007 male 79 162.1 64.1 NH White
1232 95008 female 9 145.3 52.5 Other Hispanic
1233 95009 male 13 170.9 69.9 NH Black
1234 95011 female 65 162.0 98.0 NH White
1235 95012 female 1 NA 12.6 NH White
1236 95013 male 56 178.7 106.5 NH White
1237 95014 male 35 177.1 105.2 Mexican
1238 95015 female 7 111.5 18.8 NH White
1239 95016 male 73 175.5 105.0 NH White
1240 95017 male 5 113.9 20.6 Mexican
1241 95019 male 40 178.3 77.2 NH White
1242 95020 female 80 147.6 56.8 NH Black
1243 95021 female 5 112.9 19.0 NH White
1244 95022 female 16 162.3 54.1 Mexican
1245 95023 male 13 146.2 45.1 Mexican
1246 95024 male 19 176.2 80.7 NH White
1247 95025 male 57 183.7 126.1 NH White
1248 95026 male 20 185.1 83.0 NH Black
1249 95027 female 76 149.3 50.3 NH Asian
1250 95028 male 30 178.5 96.9 NH White
1251 95029 female 43 165.5 90.2 NH Black
1252 95030 male 63 173.9 75.9 Other/Mixed
1253 95031 female 54 169.1 125.3 NH White
1254 95032 female 12 152.6 34.5 NH White
1255 95033 female 49 154.7 57.5 NH Asian
1256 95034 female 61 158.3 59.4 NH White
1257 95035 male 42 188.4 148.0 Other/Mixed
1258 95036 male 80 181.8 121.1 NH White
1259 95037 female 20 163.9 70.5 Mexican
1260 95038 female 7 123.3 29.7 NH Asian
1261 95039 female 23 160.3 56.8 NH White
1262 95040 female 26 168.5 143.6 NH White
1263 95041 female 60 144.1 50.5 Other Hispanic
1264 95042 female 65 153.9 75.8 Other Hispanic
1265 95043 male 64 164.8 60.4 NH Asian
1266 95044 female 67 158.9 101.0 NH White
1267 95045 female 69 162.3 75.2 NH White
1268 95046 female 63 163.7 69.3 NH Black
1269 95047 male 74 187.4 109.7 NH White
1270 95048 male 23 176.8 82.7 NH White
1271 95049 male 3 92.0 14.3 Other Hispanic
1272 95050 male 6 128.5 25.4 NH Black
1273 95051 male 52 184.1 159.2 NH Black
1274 95052 female 40 165.3 86.8 NH Asian
1275 95053 male 50 170.9 74.3 NH White
1276 95054 female 16 164.7 83.8 Mexican
1277 95055 male 40 182.3 180.8 Mexican
1278 95056 female 34 171.3 120.7 Other/Mixed
1279 95057 male 71 171.4 85.0 NH White
1280 95058 female 36 160.4 163.2 NH White
1281 95059 male 53 177.9 104.6 NH White
1282 95060 female 44 144.9 51.0 NH Asian
1283 95061 male 45 172.4 75.2 Mexican
1284 95062 male 61 164.7 65.1 NH Black
1285 95063 female 46 168.2 83.4 NH White
1286 95064 male 27 167.5 70.3 NH Black
1287 95066 female 73 158.0 55.9 Other Hispanic
1288 95067 female 55 161.1 132.9 NH Black
1289 95068 female 80 158.3 65.8 NH White
1290 95069 male 26 172.9 72.9 NH White
1291 95070 male 61 173.0 112.5 Other Hispanic
1292 95071 female 38 149.2 62.6 NH White
1293 95072 female 16 167.3 50.1 NH White
1294 95073 female 71 163.3 115.7 Mexican
1295 95074 female 37 163.0 72.6 NH Black
1296 95075 male 70 157.1 36.8 NH White
1297 95077 male 47 173.1 75.0 NH Asian
1298 95078 female 0 NA 9.9 NH Black
1299 95079 male 4 102.9 17.6 NH White
1300 95080 male 28 164.3 83.7 Other Hispanic
1301 95081 male 9 142.5 37.1 NH Black
1302 95083 male 37 171.3 125.9 NH White
1303 95084 male 4 105.2 18.1 NH White
1304 95085 female 0 NA 8.3 NH White
1305 95086 male 7 127.7 28.3 NH Asian
1306 95087 female 8 122.9 27.9 NH Asian
1307 95088 female 50 148.9 73.3 Mexican
1308 95089 female 31 173.0 98.2 NH Black
1309 95090 male 18 171.1 104.5 NH Asian
1310 95091 male 62 167.5 67.9 NH Black
1311 95092 male 12 146.8 37.2 Other/Mixed
1312 95093 female 51 163.9 77.6 Mexican
1313 95094 female 37 143.3 58.4 Other Hispanic
1314 95095 female 80 151.5 79.1 NH White
1315 95096 male 21 179.9 119.5 Mexican
1316 95097 female 66 161.4 71.2 NH White
1317 95098 male 68 177.7 110.9 Other Hispanic
1318 95099 female 70 150.6 44.8 NH Asian
1319 95100 female 17 164.8 56.3 NH Asian
1320 95101 female 80 159.6 74.5 NH White
1321 95102 female 61 156.5 71.0 NH Asian
1322 95103 male 39 179.2 92.7 Other Hispanic
1323 95104 male 2 92.3 15.3 NH White
1324 95105 male 67 171.8 84.4 NH White
1325 95106 male 17 166.0 59.3 NH Asian
1326 95107 female 6 119.4 20.9 NH White
1327 95108 male 13 149.3 35.2 Other Hispanic
1328 95109 female 3 95.0 12.4 Mexican
1329 95110 female 67 161.1 72.5 Mexican
1330 95111 male 15 162.6 84.4 NH White
1331 95112 female 14 155.8 75.9 NH Black
1332 95113 female 20 160.7 84.3 Mexican
1333 95114 male 34 170.1 103.3 Mexican
1334 95115 female 33 157.1 51.5 NH Black
1335 95116 male 62 171.7 55.8 NH White
1336 95117 female 9 126.1 34.1 Other Hispanic
1337 95118 male 57 170.0 76.0 NH Asian
1338 95120 male 10 130.2 26.5 NH White
1339 95121 female 66 150.6 69.6 Mexican
1340 95122 female 6 122.3 19.7 Other/Mixed
1341 95123 female 50 152.8 82.1 Other Hispanic
1342 95124 male 58 176.6 52.5 NH Black
1343 95125 male 5 113.4 16.4 NH White
1344 95126 female 59 159.1 70.8 NH Asian
1345 95127 male 16 172.3 64.6 NH White
1346 95128 female 33 151.1 77.4 NH Black
1347 95129 male 60 163.6 150.6 Mexican
1348 95130 female 2 NA 13.4 NH White
1349 95131 male 60 178.0 79.7 NH White
1350 95132 female 9 130.8 33.5 NH White
1351 95133 male 7 115.0 21.4 NH Black
1352 95134 male 37 172.3 80.5 Mexican
1353 95135 male 78 NA NA NH White
1354 95136 female 10 133.5 29.2 Mexican
1355 95137 female 53 169.1 63.2 NH White
1356 95138 female 71 153.1 49.2 NH White
1357 95140 female 42 163.0 79.2 Mexican
1358 95142 male 3 100.1 16.2 Mexican
1359 95143 female 51 154.2 51.2 Mexican
1360 95145 female 5 110.8 18.8 NH White
1361 95146 female 10 138.3 31.5 NH Black
1362 95147 female 2 78.3 9.9 NH White
1363 95148 female 56 161.5 92.3 NH Black
1364 95149 female 48 153.0 105.1 NH White
1365 95150 male 15 157.0 58.3 NH White
1366 95151 female 80 153.7 81.6 NH White
1367 95152 male 59 175.2 81.6 NH Black
1368 95153 female 23 158.4 108.8 NH White
1369 95154 female 8 139.0 35.5 NH White
1370 95155 male 62 165.1 67.8 Mexican
1371 95156 female 3 93.4 13.5 NH White
1372 95157 male 54 169.3 82.8 NH Black
1373 95158 female 15 156.5 47.9 NH White
1374 95159 female 12 152.9 56.0 NH White
1375 95160 female 66 172.4 86.2 NH Black
1376 95161 female 16 159.4 50.8 Other Hispanic
1377 95162 male 17 185.3 82.3 Other/Mixed
1378 95163 male 68 169.4 77.7 NH Asian
1379 95164 male 1 NA 14.2 Other Hispanic
1380 95165 female 39 161.3 71.5 NH Black
1381 95166 female 0 NA 8.1 Mexican
1382 95167 female 13 154.7 42.2 Mexican
1383 95168 female 59 172.8 73.8 NH Black
1384 95169 female 61 145.4 54.8 NH Asian
1385 95170 female 67 163.4 90.9 NH Asian
1386 95171 female 41 168.5 114.0 NH White
1387 95172 female 71 155.1 64.0 Mexican
1388 95173 male 80 170.5 109.3 NH Black
1389 95174 female 25 158.2 73.7 Other/Mixed
1390 95175 male 0 NA 10.7 Other/Mixed
1391 95176 female 9 145.1 55.7 Mexican
1392 95177 female 57 155.0 57.1 NH Asian
1393 95178 male 1 NA 15.4 NH White
1394 95179 female 31 161.6 122.7 NH White
1395 95180 male 4 106.7 19.1 NH Asian
1396 95181 male 39 178.7 68.0 NH White
1397 95182 male 56 172.8 103.6 Other Hispanic
1398 95183 female 14 157.4 54.8 Mexican
1399 95184 female 21 158.4 73.8 NH White
1400 95185 male 17 170.3 54.0 NH Black
1401 95186 female 28 158.4 68.3 NH Asian
1402 95187 male 10 144.1 49.9 NH Black
1403 95188 female 11 149.8 40.0 NH Black
1404 95189 male 66 169.4 103.3 NH Black
1405 95190 female 28 155.9 46.1 Mexican
1406 95191 female 54 143.7 72.8 Mexican
1407 95192 male 15 170.6 62.2 NH Black
1408 95193 male 9 142.7 47.6 NH White
1409 95194 male 19 173.8 80.3 Mexican
1410 95195 female 19 169.1 124.9 Other Hispanic
1411 95196 female 1 NA 12.1 NH Black
1412 95197 male 34 178.7 116.4 NH White
1413 95198 female 19 163.5 99.7 NH Black
1414 95199 female 61 161.8 101.0 NH Black
1415 95200 female 23 153.3 58.9 Mexican
1416 95201 female 17 155.2 54.4 NH White
1417 95202 female 23 173.5 75.6 NH White
1418 95203 male 54 178.4 80.8 NH Black
1419 95204 female 18 152.4 49.5 NH Asian
1420 95205 female 1 NA 9.4 NH White
1421 95206 male 47 165.8 52.9 NH Black
1422 95207 female 71 163.1 69.9 NH Black
1423 95208 male 78 171.4 76.7 Mexican
1424 95209 female 73 170.0 71.0 NH Black
1425 95210 female 44 174.9 86.0 NH White
1426 95211 female 22 151.8 45.6 Mexican
1427 95212 male 3 103.0 18.1 NH Asian
1428 95213 male 25 170.8 69.4 Mexican
1429 95214 male 70 172.1 77.8 NH Black
1430 95215 female 52 163.8 99.5 NH White
1431 95216 male 50 172.0 76.6 NH Asian
1432 95217 female 3 98.7 15.5 Mexican
1433 95218 female 16 161.4 53.1 NH White
1434 95219 male 7 127.7 36.3 NH White
1435 95220 female 61 154.2 69.7 Mexican
1436 95221 female 35 156.8 59.5 Other/Mixed
1437 95222 female 72 154.7 84.2 Other Hispanic
1438 95223 female 16 168.7 60.9 NH Black
1439 95224 male 73 166.4 67.9 Other/Mixed
1440 95225 female 10 138.3 26.7 NH White
1441 95226 male 8 138.3 37.8 NH Black
1442 95227 male 22 175.8 83.0 NH Asian
1443 95228 male 46 175.8 80.0 NH White
1444 95229 female 0 NA 8.1 Other/Mixed
1445 95230 male 0 NA 10.0 Mexican
1446 95231 male 32 180.4 93.3 Other/Mixed
1447 95232 female 23 147.7 77.7 NH Black
1448 95233 female 21 157.5 94.8 Mexican
1449 95235 male 4 97.3 14.9 Mexican
1450 95236 female 76 150.5 54.2 Mexican
1451 95237 male 29 177.1 70.9 NH White
1452 95238 male 78 177.2 86.1 NH Black
1453 95239 female 23 155.9 74.6 Mexican
1454 95240 female 1 NA 11.8 NH Asian
1455 95242 female 58 152.8 65.6 NH Black
1456 95243 female 68 153.9 72.1 NH Black
1457 95244 female 48 164.5 75.2 NH Black
1458 95245 male 6 127.6 31.9 NH White
1459 95246 female 0 NA 10.8 Other Hispanic
1460 95247 female 64 157.9 90.0 NH Asian
1461 95248 female 0 NA 8.2 NH White
1462 95249 female 70 164.8 91.7 NH White
1463 95250 male 44 169.1 82.4 NH Asian
1464 95251 female 38 162.0 106.6 NH White
1465 95252 male 70 191.3 103.2 NH White
1466 95253 male 10 134.6 26.3 NH Black
1467 95254 female 3 85.6 12.5 Other Hispanic
1468 95255 female 24 161.7 69.1 NH White
1469 95256 female 66 157.6 65.8 NH White
1470 95257 female 39 157.5 66.7 NH Black
1471 95258 male 62 172.9 111.8 Other Hispanic
1472 95259 male 80 173.2 67.0 NH White
1473 95260 male 26 176.9 75.6 NH White
1474 95261 female 24 158.8 120.4 Other Hispanic
1475 95262 female 24 165.8 79.9 Other/Mixed
1476 95263 male 0 NA 9.9 NH White
1477 95264 female 18 160.1 53.4 NH Asian
1478 95265 female 46 154.5 NA Mexican
1479 95266 female 58 160.5 88.8 NH White
1480 95267 male 1 NA 9.1 NH Black
1481 95268 male 70 177.5 95.3 NH White
1482 95269 male 18 177.0 55.4 NH Black
1483 95270 male 5 126.5 24.1 Other/Mixed
1484 95271 male 0 NA 7.0 NH White
1485 95272 female 80 148.5 43.9 NH White
1486 95273 male 62 180.9 101.2 Mexican
1487 95274 female 48 162.9 115.8 NH White
1488 95275 female 41 160.9 55.4 Other/Mixed
1489 95276 male 33 180.1 104.6 NH White
1490 95277 male 0 NA 11.0 NH White
1491 95278 female 43 168.1 93.7 Other Hispanic
1492 95279 male 36 174.4 73.1 NH Asian
1493 95280 female 42 153.5 73.1 NH White
1494 95281 female 61 164.6 90.6 NH Black
1495 95282 male 6 122.8 23.7 NH Asian
1496 95283 male 18 175.9 74.7 Mexican
1497 95284 female 41 153.9 87.3 Other Hispanic
1498 95285 female 6 115.3 25.0 NH White
1499 95286 female 17 155.6 47.8 NH White
1500 95287 female 56 162.4 54.8 NH Asian
1501 95288 male 34 168.4 83.8 NH White
1502 95289 female 56 147.6 70.8 Mexican
1503 95290 female 8 114.3 19.8 Other/Mixed
1504 95291 male 4 107.9 16.0 NH Black
1505 95292 male 8 136.8 28.1 NH White
1506 95293 male 16 165.6 64.5 NH White
1507 95294 female 1 NA 12.3 Mexican
1508 95295 male 5 114.4 17.4 NH Asian
1509 95296 male 40 168.8 78.2 NH Asian
1510 95297 male 15 172.8 65.7 Other/Mixed
1511 95298 male 60 173.1 79.7 NH Black
1512 95299 female 7 124.9 23.8 NH White
1513 95302 female 45 146.5 62.8 Mexican
1514 95303 male 15 165.1 98.3 Other/Mixed
1515 95304 male 2 86.8 11.8 NH Black
1516 95305 female 17 157.1 64.4 Mexican
1517 95306 male 3 97.4 16.6 Other/Mixed
1518 95307 male 19 177.1 83.0 Mexican
1519 95308 female 64 166.2 75.8 NH Black
1520 95309 female 5 107.1 18.8 NH White
1521 95310 male 52 172.9 96.8 Mexican
1522 95311 female 10 150.5 76.2 Mexican
1523 95312 male 25 168.3 82.8 NH Asian
1524 95313 female 54 159.6 60.1 NH White
1525 95314 male 11 144.0 35.9 NH Black
1526 95315 female 63 155.6 109.0 Other/Mixed
1527 95316 male 43 183.0 139.9 NH White
1528 95317 female 5 105.6 17.6 NH White
1529 95318 female 60 165.5 98.2 NH White
1530 95319 female 55 152.7 68.5 Mexican
1531 95320 male 1 NA NA Mexican
1532 95321 male 65 176.5 91.6 NH Black
1533 95323 male 21 177.8 64.6 NH Asian
1534 95324 male 70 179.8 84.7 Other Hispanic
1535 95325 male 68 167.7 74.6 Other Hispanic
1536 95326 male 72 178.0 91.7 NH White
1537 95328 female 17 152.1 54.7 NH White
1538 95329 male 47 166.9 68.3 NH Asian
1539 95330 female 77 175.1 76.9 NH Black
1540 95331 female 8 141.8 49.4 Other/Mixed
1541 95332 female 75 147.2 62.1 NH Black
1542 95333 male 39 167.7 87.2 NH Black
1543 95334 female 60 159.9 82.6 Other Hispanic
1544 95336 female 9 132.1 37.3 NH White
1545 95337 female 13 157.6 70.4 NH White
1546 95338 male 72 173.0 79.9 Other Hispanic
1547 95341 female 0 NA 3.8 NH White
1548 95342 female 31 163.7 57.9 NH White
1549 95344 male 11 149.4 39.3 NH Black
1550 95345 female 17 162.0 46.4 NH Black
1551 95346 female 61 157.9 74.8 NH Black
1552 95348 female 39 163.8 89.4 Other Hispanic
1553 95349 male 14 NA NA NH Black
1554 95350 female 14 174.6 113.7 NH Black
1555 95351 female 25 155.2 76.8 NH Asian
1556 95352 female 50 162.8 59.2 NH White
1557 95353 female 39 166.4 100.1 Mexican
1558 95354 male 8 133.8 25.5 NH Asian
1559 95355 male 14 165.6 57.5 Mexican
1560 95356 male 61 160.2 63.4 NH Asian
1561 95357 female 56 157.4 89.4 NH Black
1562 95358 female 70 155.3 93.4 NH Asian
1563 95359 male 2 86.8 10.0 NH Black
1564 95360 male 69 166.3 70.6 NH White
1565 95361 male 72 166.2 97.1 NH White
1566 95362 female 42 150.9 57.0 Mexican
1567 95363 male 2 NA NA NH Black
1568 95364 male 41 170.7 89.8 NH Asian
1569 95365 female 0 NA 9.7 NH White
1570 95366 female 44 158.4 123.3 Mexican
1571 95367 female 55 155.4 99.4 Mexican
1572 95368 female 1 NA 9.8 NH Asian
1573 95369 female 15 168.0 58.3 NH White
1574 95370 male 4 116.2 35.3 NH White
1575 95371 male 7 126.5 35.5 NH White
1576 95372 male 80 179.5 104.0 NH White
1577 95373 male 13 171.7 88.1 NH White
1578 95374 male 27 161.4 64.3 Mexican
1579 95375 male 56 169.4 75.4 Other/Mixed
1580 95376 male 7 131.9 29.0 NH Black
1581 95377 male 63 178.2 107.3 NH White
1582 95378 female 80 163.2 44.6 NH Black
1583 95379 male 59 172.7 54.2 NH Black
1584 95380 male 62 177.7 88.4 NH White
1585 95381 female 17 170.7 60.3 Other/Mixed
1586 95382 male 60 166.8 88.8 NH Black
1587 95383 female 5 102.2 15.8 Mexican
1588 95384 female 0 NA 6.5 NH White
1589 95385 female 28 168.3 68.9 NH Asian
1590 95387 male 15 179.3 138.7 NH Black
1591 95388 male 17 160.4 106.2 NH Black
1592 95389 male 20 174.3 76.8 NH White
1593 95391 female 44 145.5 55.8 Mexican
1594 95392 male 21 170.5 100.1 NH White
1595 95393 female 28 154.6 81.8 NH Asian
1596 95394 male 47 170.8 84.5 Mexican
1597 95395 female 13 150.6 37.9 NH White
1598 95396 female 13 163.2 48.5 NH Black
1599 95397 male 68 176.2 88.1 NH White
1600 95398 male 3 96.7 14.9 Other/Mixed
1601 95399 female 13 163.2 44.6 NH White
1602 95400 female 5 113.0 27.0 NH White
1603 95401 female 80 147.4 41.8 NH White
1604 95402 male 28 194.0 117.1 NH Black
1605 95403 female 49 158.8 60.3 NH White
1606 95405 male 53 151.7 58.3 NH Asian
1607 95406 male 80 167.7 78.2 NH White
1608 95407 female 1 NA 11.3 NH Black
1609 95408 female 9 133.0 38.5 NH White
1610 95409 female 6 122.7 24.4 NH White
1611 95410 male 76 169.0 70.9 NH Black
1612 95411 male 71 175.8 166.0 NH Black
1613 95412 male 60 179.4 108.0 NH Black
1614 95413 female 51 174.1 86.7 NH White
1615 95414 male 27 175.9 91.0 Mexican
1616 95415 female 36 153.9 53.1 NH White
1617 95416 female 36 162.3 51.1 NH Asian
1618 95417 male 63 166.2 94.8 Mexican
1619 95418 male 59 180.9 85.9 NH Black
1620 95419 male 68 168.4 71.5 NH Asian
1621 95420 female 18 150.8 57.7 Mexican
1622 95421 male 78 165.0 88.7 NH White
1623 95422 female 39 170.8 95.2 NH White
1624 95423 female 33 165.5 72.1 NH Asian
1625 95424 male 40 187.9 119.5 NH White
1626 95425 male 22 174.2 67.7 Mexican
1627 95426 male 0 NA 3.8 Mexican
1628 95427 male 62 173.6 77.3 NH Black
1629 95428 male 0 NA 6.0 NH White
1630 95429 female 60 155.3 71.7 Mexican
1631 95430 male 2 97.9 15.2 NH Black
1632 95431 female 66 161.2 160.1 NH White
1633 95432 female 18 163.5 103.3 NH White
1634 95433 female 11 158.8 44.6 NH Black
1635 95434 female 78 146.9 59.8 Other Hispanic
1636 95435 female 15 161.7 78.1 NH Asian
1637 95436 female 43 156.5 58.8 Mexican
1638 95437 male 23 168.6 79.6 NH Asian
1639 95441 male 0 NA 6.3 NH White
1640 95442 female 33 173.8 76.2 NH White
1641 95443 female 0 NA 6.8 NH White
1642 95444 female 37 154.1 59.4 NH White
1643 95445 female 24 162.1 65.1 Other Hispanic
1644 95446 male 42 168.5 73.5 Mexican
1645 95447 female 70 160.1 91.7 Mexican
1646 95448 male 80 165.4 87.5 NH White
1647 95449 male 55 166.9 86.4 Other Hispanic
1648 95450 male 38 176.4 65.8 NH Black
1649 95451 female 3 101.1 18.4 Mexican
1650 95452 male 38 170.8 116.3 NH White
1651 95453 male 39 167.2 79.1 Mexican
1652 95454 male 60 172.6 86.9 Mexican
1653 95455 male 47 162.7 88.8 Other Hispanic
1654 95456 male 6 128.2 26.1 Mexican
1655 95457 female 16 158.4 112.3 NH Black
1656 95458 male 10 144.9 38.9 Mexican
1657 95459 male 63 174.3 70.6 Mexican
1658 95460 female 11 161.3 72.5 Mexican
1659 95461 female 8 117.4 18.6 NH Black
1660 95462 female 4 101.8 14.6 Other/Mixed
1661 95463 male 19 167.9 98.7 Mexican
1662 95464 female 3 103.5 17.4 NH White
1663 95465 female 56 150.0 72.6 Mexican
1664 95466 male 52 182.0 101.3 NH White
1665 95467 female 80 151.6 59.5 NH White
1666 95468 male 63 181.9 83.6 NH White
1667 95469 male 28 177.0 58.6 NH White
1668 95470 male 3 99.5 23.3 Mexican
1669 95471 male 80 165.5 63.0 NH White
1670 95472 male 34 172.6 83.4 NH White
1671 95473 male 36 184.1 74.2 NH White
1672 95474 female 34 159.7 103.2 NH Black
1673 95475 female 8 138.1 27.1 NH Black
1674 95476 male 8 133.5 27.5 NH Black
1675 95477 female 13 162.6 46.1 NH Asian
1676 95478 male 11 153.0 47.1 Other Hispanic
1677 95479 female 57 163.5 60.2 NH White
1678 95480 male 71 170.9 79.8 NH White
1679 95481 male 19 172.4 66.8 NH White
1680 95482 female 14 154.2 49.1 NH Asian
1681 95483 female 0 NA 9.4 NH White
1682 95484 male 80 171.3 77.3 NH Black
1683 95485 male 18 175.6 67.9 NH White
1684 95486 female 36 167.9 84.0 NH Black
1685 95487 male 17 177.9 62.2 NH Black
1686 95488 female 21 163.0 101.1 NH White
1687 95489 female 9 133.5 32.0 NH White
1688 95490 male 13 173.0 82.6 Other/Mixed
1689 95491 male 2 88.5 11.8 Other Hispanic
1690 95492 female 80 156.4 98.8 NH White
1691 95493 male 25 164.6 87.1 NH White
1692 95494 female 22 163.5 64.0 Other Hispanic
1693 95495 male 75 166.6 81.3 NH White
1694 95496 female 10 149.3 37.2 NH Black
1695 95497 male 6 120.1 21.9 NH White
1696 95499 male 52 181.9 100.7 NH Black
1697 95500 female 61 165.1 114.6 NH White
1698 95501 female 25 159.8 98.3 NH White
1699 95502 male 1 NA 11.8 NH White
1700 95503 male 52 174.6 128.3 Mexican
1701 95504 female 61 155.9 135.0 NH White
1702 95505 male 29 171.0 69.4 NH White
1703 95506 male 48 165.7 76.7 NH Asian
1704 95507 male 2 97.2 14.8 NH Black
1705 95508 male 63 193.1 94.4 NH Black
1706 95509 female 51 165.2 76.5 NH White
1707 95510 female 51 154.2 56.7 NH Asian
1708 95513 female 3 105.8 16.6 NH Black
1709 95514 male 35 175.5 87.8 Mexican
1710 95515 male 69 190.0 121.1 NH Black
1711 95516 male 15 172.2 60.0 NH Black
1712 95518 male 16 177.9 101.7 Other/Mixed
1713 95519 female 53 158.9 76.2 NH White
1714 95520 female 4 95.9 14.9 NH Black
1715 95521 male 13 164.5 58.3 Other/Mixed
1716 95522 female 22 164.6 76.5 NH White
1717 95523 female 9 133.4 29.8 NH White
1718 95524 female 62 143.9 57.5 Mexican
1719 95525 female 51 168.1 76.2 NH Black
1720 95526 female 80 154.1 74.5 Other/Mixed
1721 95527 male 58 170.1 82.5 NH White
1722 95528 female 75 166.3 71.1 NH White
1723 95530 male 0 NA 9.1 Other Hispanic
1724 95531 male 58 177.6 98.7 NH White
1725 95533 male 68 166.9 84.6 NH White
1726 95534 female 67 158.7 86.4 Other Hispanic
1727 95535 male 46 189.6 145.7 Other/Mixed
1728 95536 male 11 160.2 45.1 NH Black
1729 95537 male 48 166.5 80.5 NH Asian
1730 95538 male 1 NA 18.3 NH White
1731 95539 male 69 181.1 88.0 NH Black
1732 95540 male 68 155.0 71.7 Mexican
1733 95541 female 65 160.5 106.2 Mexican
1734 95542 female 56 158.0 69.6 NH Black
1735 95543 female 28 157.7 60.1 NH Asian
1736 95544 male 29 178.1 110.6 NH White
1737 95545 male 14 163.0 44.0 NH Asian
1738 95546 male 15 163.1 54.3 Mexican
1739 95547 male 57 172.1 70.6 Other/Mixed
1740 95548 male 28 179.3 60.4 NH White
1741 95549 female 53 155.3 97.9 Mexican
1742 95550 male 62 178.1 97.5 NH White
1743 95551 female 57 138.3 50.4 Mexican
1744 95552 male 5 114.1 19.6 NH Black
1745 95553 male 79 189.4 98.0 NH Black
1746 95554 male 7 131.4 25.7 NH White
1747 95555 male 18 180.0 109.2 Mexican
1748 95556 male 41 182.8 84.3 Other Hispanic
1749 95557 female 79 159.7 55.1 NH Black
1750 95559 female 42 158.9 75.5 NH White
1751 95560 male 1 NA 11.2 Other Hispanic
1752 95561 male 63 171.9 113.6 NH Black
1753 95562 female 1 NA 9.8 NH Black
1754 95563 female 46 173.0 70.1 NH White
1755 95564 male 11 146.5 45.1 NH Asian
1756 95565 male 29 171.3 78.9 NH Asian
1757 95566 female 78 166.8 110.4 NH White
1758 95567 male 1 NA 12.6 Other/Mixed
1759 95568 female 34 166.0 45.4 NH Asian
1760 95569 female 23 160.6 78.2 NH Black
1761 95570 female 2 84.1 10.5 NH White
1762 95571 female 54 161.4 72.3 NH White
1763 95572 male 75 168.9 76.0 NH White
1764 95573 male 23 176.1 98.3 NH White
1765 95574 female 36 176.5 97.2 NH White
1766 95575 male 64 178.1 65.9 NH Black
1767 95576 female 73 155.8 66.3 NH White
1768 95577 female 63 156.1 72.5 NH White
1769 95578 female 62 153.4 53.3 NH Asian
1770 95579 male 54 NA NA NH Black
1771 95580 male 1 NA NA Other Hispanic
1772 95581 female 44 148.8 58.4 NH Asian
1773 95582 female 32 160.8 70.6 NH Asian
1774 95583 female 69 157.8 62.6 Mexican
1775 95584 male 9 136.9 26.9 NH White
1776 95585 male 19 180.9 97.1 Mexican
1777 95586 female 26 161.2 51.0 NH Black
1778 95587 female 29 170.6 104.4 NH White
1779 95588 male 72 168.7 53.9 NH Black
1780 95589 female 63 159.9 66.7 NH Black
1781 95590 male 61 170.6 81.0 Other Hispanic
1782 95591 female 36 150.3 47.5 NH Asian
1783 95592 female 14 167.3 83.8 NH White
1784 95593 male 70 185.3 79.6 NH White
1785 95594 male 50 176.6 99.5 NH Asian
1786 95595 female 43 163.0 135.6 NH White
1787 95596 male 12 159.3 63.3 Mexican
1788 95597 male 71 175.4 101.4 NH White
1789 95598 male 22 174.1 87.7 Other Hispanic
1790 95599 male 47 186.0 118.6 NH White
1791 95600 male 74 NA NA Other/Mixed
1792 95601 male 69 168.8 100.7 NH White
1793 95602 male 21 168.1 92.9 Mexican
1794 95603 male 3 102.8 15.0 Other/Mixed
1795 95604 male 16 169.7 74.9 Mexican
1796 95605 male 3 95.4 14.7 Other/Mixed
1797 95606 male 25 184.8 108.4 Mexican
1798 95607 male 42 170.0 69.0 NH White
1799 95608 male 67 172.8 77.9 NH Black
1800 95609 female 22 155.0 78.1 NH White
1801 95610 female 41 151.6 68.1 Other Hispanic
1802 95611 male 53 177.2 58.3 Other/Mixed
1803 95612 male 24 181.0 103.3 Other/Mixed
1804 95613 male 9 134.3 29.6 Other/Mixed
1805 95614 female 2 85.5 12.3 Other Hispanic
1806 95615 male 78 167.1 73.1 NH Black
1807 95616 female 17 159.7 73.2 Mexican
1808 95617 male 60 175.5 91.9 NH Black
1809 95618 female 16 167.4 83.7 NH Black
1810 95619 female 16 173.4 54.8 NH Black
1811 95620 female 6 117.6 20.8 NH White
1812 95621 male 73 163.7 68.1 NH Asian
1813 95622 female 42 167.4 57.9 NH White
1814 95623 female 60 152.7 53.8 NH Asian
1815 95624 male 0 NA 5.0 NH Black
1816 95625 male 43 177.2 69.8 NH Asian
1817 95626 male 76 159.0 87.1 Mexican
1818 95628 female 18 166.2 55.0 Other/Mixed
1819 95629 female 80 NA NA NH White
1820 95630 female 80 159.3 95.3 NH Black
1821 95631 male 13 152.2 44.4 Mexican
1822 95632 male 1 NA 11.2 Other Hispanic
1823 95633 female 64 157.9 72.9 Mexican
1824 95634 male 13 181.6 62.2 NH Black
1825 95635 male 7 126.2 33.0 Mexican
1826 95636 female 51 151.6 64.7 Other Hispanic
1827 95637 male 74 171.3 99.9 NH White
1828 95638 male 16 153.9 39.6 Other Hispanic
1829 95639 male 31 169.4 72.3 Mexican
1830 95640 male 19 176.8 68.5 NH Black
1831 95641 female 50 165.0 131.8 Other/Mixed
1832 95642 female 13 161.9 99.0 Mexican
1833 95643 male 20 179.5 59.2 NH White
1834 95644 female 62 154.3 79.4 Mexican
1835 95645 female 67 150.1 56.4 Mexican
1836 95646 male 0 NA 6.5 NH White
1837 95647 female 8 136.2 32.9 NH Asian
1838 95648 male 72 177.2 86.9 NH White
1839 95649 male 48 167.1 87.3 NH Black
1840 95650 female 3 91.0 13.2 NH White
1841 95651 male 80 NA 89.5 NH White
1842 95652 female 44 159.7 58.6 Mexican
1843 95653 male 5 108.6 17.3 NH Black
1844 95654 male 72 164.6 76.9 NH White
1845 95655 male 22 183.6 105.1 NH White
1846 95656 male 78 167.2 89.6 Other/Mixed
1847 95657 male 31 190.9 78.6 NH White
1848 95658 male 29 188.4 98.6 NH White
1849 95659 male 46 180.0 86.2 NH Black
1850 95660 male 7 131.4 27.4 NH White
1851 95662 female 44 151.2 65.2 NH White
1852 95663 male 43 176.3 86.9 Mexican
1853 95664 male 47 188.0 105.5 NH White
1854 95665 male 23 175.7 84.9 NH White
1855 95666 male 33 170.7 124.1 NH White
1856 95667 male 2 100.1 17.6 Other Hispanic
1857 95668 female 68 165.6 85.6 Mexican
1858 95669 female 56 161.3 71.4 NH White
1859 95670 female 4 96.9 13.6 Mexican
1860 95671 female 66 151.8 70.9 Mexican
1861 95672 male 75 183.5 104.5 NH Black
1862 95673 male 80 166.2 75.0 NH Black
1863 95674 male 49 185.4 89.7 NH Black
1864 95675 male 66 167.6 85.3 Other Hispanic
1865 95676 male 53 168.9 90.3 Other Hispanic
1866 95677 male 8 136.2 42.8 NH Black
1867 95678 male 34 173.1 85.5 NH Black
1868 95679 male 14 177.1 56.3 Mexican
1869 95680 female 45 151.0 72.5 NH White
1870 95681 female 80 155.9 64.7 NH White
1871 95682 male 3 100.9 17.9 NH Asian
1872 95683 female 0 NA 8.8 NH White
1873 95684 male 30 164.7 75.2 NH White
1874 95685 male 30 170.4 130.3 NH White
1875 95686 male 18 168.9 91.1 NH White
1876 95687 male 80 173.6 74.2 NH Black
1877 95688 female 8 129.7 29.3 Mexican
1878 95689 female 60 176.6 112.2 NH Black
1879 95690 male 54 169.4 75.1 NH Asian
1880 95691 male 0 NA 5.9 Other Hispanic
1881 95692 female 69 153.3 51.4 NH White
1882 95693 female 2 87.3 13.5 NH White
1883 95694 female 50 153.5 69.6 NH Asian
1884 95695 male 0 NA 6.6 Mexican
1885 95696 male 26 159.1 60.5 NH Black
1886 95697 female 0 NA 4.3 Other Hispanic
1887 95698 female 55 151.6 78.0 NH Asian
1888 95699 female 22 160.8 64.7 NH Black
1889 95700 female 59 148.8 70.5 Other Hispanic
1890 95701 male 8 132.7 25.6 Other/Mixed
1891 95702 female 16 157.5 52.3 NH Asian
1892 95703 female 24 180.4 111.7 NH Black
1893 95704 male 50 163.1 70.1 NH Asian
1894 95705 male 18 179.8 65.1 NH White
1895 95706 female 6 123.5 23.4 Other/Mixed
1896 95707 female 5 103.5 16.7 NH White
1897 95708 male 52 185.5 109.7 NH White
1898 95709 male 11 153.4 58.1 Other/Mixed
1899 95710 male 61 174.8 102.0 NH Asian
1900 95711 male 54 158.9 69.4 Mexican
1901 95712 female 12 147.7 52.1 NH Black
1902 95713 male 64 181.0 110.5 NH Black
1903 95714 female 63 163.5 131.8 NH Black
1904 95715 female 12 153.8 57.7 NH White
1905 95716 female 38 153.7 64.0 Other Hispanic
1906 95717 male 76 177.1 83.3 NH White
1907 95718 male 63 172.5 79.9 NH White
1908 95719 male 22 173.0 61.5 NH White
1909 95720 female 59 167.8 61.7 NH White
1910 95721 female 14 147.2 43.2 NH Asian
1911 95722 male 38 164.6 88.9 Mexican
1912 95723 female 80 152.9 69.3 NH White
1913 95724 female 4 103.9 15.6 NH White
1914 95725 male 70 184.1 146.3 NH White
1915 95726 female 32 167.5 68.6 NH Black
1916 95727 male 52 161.5 65.2 NH White
1917 95728 male 1 NA 14.5 NH Asian
1918 95729 female 71 148.8 102.4 Mexican
1919 95730 female 0 NA 6.3 NH Black
1920 95731 female 47 153.5 64.7 NH Asian
1921 95732 female 14 149.1 50.9 NH White
1922 95733 male 22 185.1 53.7 Mexican
1923 95734 female 71 159.1 81.0 NH White
1924 95735 male 8 137.2 27.3 Mexican
1925 95736 male 58 188.2 76.3 NH White
1926 95737 male 0 NA 9.3 NH White
1927 95738 female 49 166.8 104.8 Other/Mixed
1928 95739 male 6 126.3 28.0 NH White
1929 95740 male 5 113.5 20.5 Other/Mixed
1930 95741 female 19 163.2 64.3 NH White
1931 95742 male 9 136.5 28.2 NH White
1932 95743 female 58 NA NA Mexican
1933 95744 female 57 160.1 66.7 NH Asian
1934 95745 female 60 164.1 90.6 NH Black
1935 95746 male 7 122.6 25.3 NH White
1936 95747 male 10 137.2 35.5 Mexican
1937 95748 male 43 180.9 89.6 NH Black
1938 95749 male 10 157.1 48.8 Mexican
1939 95750 female 5 111.2 23.4 NH White
1940 95751 male 4 109.1 21.2 NH Asian
1941 95752 male 80 168.1 65.7 Other Hispanic
1942 95753 female 0 NA 7.8 NH White
1943 95754 male 33 176.1 113.0 NH White
1944 95755 female 14 162.9 55.6 NH Asian
1945 95756 male 26 175.6 60.7 NH White
1946 95757 male 13 168.8 94.3 Mexican
1947 95758 male 15 174.5 66.9 Other Hispanic
1948 95759 female 63 147.6 98.2 NH Black
1949 95760 male 14 178.5 83.3 Mexican
1950 95761 male 51 162.1 63.1 Other Hispanic
1951 95762 male 32 183.6 94.0 NH Black
1952 95763 male 75 169.8 86.3 NH White
1953 95764 male 6 127.3 28.5 NH White
1954 95765 male 51 157.7 62.4 Mexican
1955 95766 female 19 163.9 92.6 NH White
1956 95767 male 60 171.7 160.9 NH White
1957 95768 male 23 163.5 66.9 Other Hispanic
1958 95769 male 61 182.6 117.9 NH Black
1959 95770 male 50 171.6 117.1 NH Black
1960 95771 female 63 163.7 103.4 NH Black
1961 95772 female 64 157.1 67.7 NH Asian
1962 95773 female 66 161.7 95.5 NH Black
1963 95774 male 9 134.0 38.7 Mexican
1964 95775 female 37 155.3 68.5 NH Asian
1965 95776 male 13 160.7 37.6 NH Black
1966 95777 female 78 161.1 69.7 NH White
1967 95778 female 35 167.5 62.9 NH Black
1968 95780 female 78 151.4 63.9 Mexican
1969 95781 female 3 101.7 17.1 Other/Mixed
1970 95782 male 18 162.6 41.2 NH White
1971 95783 male 16 169.4 57.9 Other/Mixed
1972 95784 female 4 112.3 20.7 NH White
1973 95785 male 51 172.9 73.9 NH White
1974 95786 female 5 114.0 19.8 NH White
1975 95787 male 27 180.1 119.4 Mexican
1976 95788 female 28 163.9 72.9 NH White
1977 95789 female 48 166.0 78.6 NH White
1978 95791 male 33 160.5 92.2 Other Hispanic
1979 95792 male 23 172.5 85.3 NH White
1980 95793 female 26 150.7 42.4 Mexican
1981 95794 male 63 170.9 70.2 NH Asian
1982 95796 male 4 111.8 17.4 NH Black
1983 95797 male 4 105.0 16.9 NH Asian
1984 95798 female 76 159.4 80.7 NH White
1985 95799 female 25 168.0 69.9 NH White
1986 95800 male 3 97.2 14.9 NH Black
1987 95801 male 10 141.1 36.3 NH Black
1988 95802 male 68 173.1 78.6 NH White
1989 95803 male 38 180.0 100.8 NH White
1990 95804 male 0 NA 4.9 Mexican
1991 95805 male 6 126.0 33.5 Mexican
1992 95806 female 11 141.6 38.9 Other/Mixed
1993 95807 female 34 161.4 118.4 NH White
1994 95808 female 19 163.9 69.3 NH White
1995 95809 female 59 157.0 81.6 Other Hispanic
1996 95810 male 2 83.3 9.5 Mexican
1997 95811 female 24 151.0 39.3 Mexican
1998 95812 female 63 171.6 71.7 NH Black
1999 95813 male 80 152.5 53.6 NH White
2000 95814 male 45 172.6 117.3 NH Black
2001 95815 male 3 103.0 16.0 Other/Mixed
2002 95816 female 14 181.8 73.1 NH Black
2003 95817 male 12 162.0 47.2 Mexican
2004 95818 male 12 165.9 50.9 NH Asian
2005 95819 male 80 180.1 115.2 NH White
2006 95820 male 37 176.2 130.5 NH Black
2007 95821 female 16 162.3 59.1 NH Black
2008 95822 male 66 175.6 72.3 NH Asian
2009 95823 female 9 149.4 57.7 Mexican
2010 95824 male 66 175.8 98.3 Other Hispanic
2011 95825 female 45 152.5 76.1 NH White
2012 95826 male 11 150.5 61.3 NH Black
2013 95827 male 14 176.8 79.7 Other Hispanic
2014 95828 male 80 169.3 82.0 NH Black
2015 95829 male 70 171.9 78.8 NH White
2016 95830 female 5 118.1 24.3 NH White
2017 95831 female 63 159.3 83.3 NH Asian
2018 95833 male 61 166.2 81.1 Other Hispanic
2019 95834 female 17 159.5 57.0 Mexican
2020 95835 female 48 157.3 76.8 Other Hispanic
2021 95836 female 55 164.8 107.1 NH White
2022 95837 male 2 93.0 14.9 NH Black
2023 95838 male 80 167.8 99.0 Mexican
2024 95839 male 44 179.8 93.8 NH Black
2025 95840 male 10 129.8 24.1 NH Black
2026 95841 male 27 174.0 99.7 Mexican
2027 95842 male 5 125.1 36.0 Other Hispanic
2028 95843 male 73 169.5 76.8 Mexican
2029 95844 female 70 150.7 65.5 NH White
2030 95846 male 80 171.7 68.5 NH Black
2031 95847 female 0 NA 8.3 NH White
2032 95848 female 52 156.5 57.1 NH Asian
2033 95849 female 40 163.2 65.1 Other Hispanic
2034 95850 female 27 163.4 107.9 NH Black
2035 95851 male 28 165.5 85.0 Mexican
2036 95852 female 1 NA NA NH Black
2037 95853 female 24 157.5 104.9 Other Hispanic
2038 95854 male 28 185.7 133.7 NH White
2039 95855 female 40 NA NA Other Hispanic
2040 95856 male 5 117.6 23.8 NH Black
2041 95857 male 14 174.4 64.1 NH Black
2042 95858 male 32 176.5 86.3 NH Asian
2043 95859 female 13 164.8 49.9 NH White
2044 95860 female 51 162.4 53.8 NH White
2045 95861 female 10 132.7 33.9 Other Hispanic
2046 95862 male 80 157.6 48.9 NH White
2047 95863 female 80 159.2 90.8 NH Black
2048 95864 male 73 156.6 52.7 NH Black
2049 95865 female 47 161.2 99.3 NH Black
2050 95866 female 80 160.7 69.1 Mexican
2051 95867 female 34 161.4 126.1 NH White
2052 95868 male 80 177.9 92.6 NH White
2053 95869 male 66 185.1 90.2 NH Black
2054 95870 female 20 168.7 104.6 NH Black
2055 95871 female 5 113.9 17.7 Other/Mixed
2056 95872 female 0 NA 8.8 NH White
2057 95873 male 76 165.8 77.3 NH White
2058 95874 female 18 160.4 84.9 Other Hispanic
2059 95875 female 67 161.9 93.5 Mexican
2060 95876 female 6 122.5 22.4 Other/Mixed
2061 95877 male 62 164.8 64.6 NH White
2062 95878 female 1 NA 10.4 NH White
2063 95879 male 13 172.4 51.9 NH Asian
2064 95880 female 69 166.1 110.7 NH White
2065 95881 female 64 158.4 63.0 Mexican
2066 95882 male 26 185.5 75.0 NH Black
2067 95883 female 31 167.6 131.1 Mexican
2068 95884 female 5 113.9 17.3 NH White
2069 95885 female 0 NA 5.4 NH White
2070 95886 female 57 164.9 63.3 NH Asian
2071 95887 female 8 126.5 22.1 Other Hispanic
2072 95888 female 9 139.8 33.4 NH Black
2073 95889 female 17 160.4 52.3 Mexican
2074 95891 male 56 175.2 69.9 NH White
2075 95892 male 17 177.7 93.4 Other Hispanic
2076 95893 male 0 NA 6.6 Other/Mixed
2077 95894 female 0 NA 7.4 NH Black
2078 95895 female 12 160.4 56.3 NH Black
2079 95896 female 32 177.7 66.6 NH Black
2080 95897 male 5 113.5 19.0 NH Black
2081 95898 female 14 161.6 77.8 NH White
2082 95899 male 62 164.4 78.6 NH Asian
2083 95900 male 31 180.7 95.9 NH White
2084 95901 female 3 95.8 14.9 Mexican
2085 95902 female 61 153.7 82.6 NH Black
2086 95903 male 21 173.2 79.4 Mexican
2087 95904 female 53 165.1 65.2 NH Asian
2088 95905 male 5 108.3 19.2 Other Hispanic
2089 95906 female 16 160.6 52.6 NH White
2090 95907 female 19 NA NA Other/Mixed
2091 95908 male 69 173.3 93.8 Other Hispanic
2092 95909 male 5 121.5 23.2 NH White
2093 95910 male 50 170.0 80.1 NH Asian
2094 95911 female 38 155.5 61.8 Mexican
2095 95912 male 50 182.2 89.8 NH White
2096 95913 female 80 163.6 54.6 NH White
2097 95914 female 47 160.5 126.2 NH White
2098 95915 male 57 169.8 101.5 NH White
2099 95917 female 74 163.8 95.0 Other/Mixed
2100 95919 male 47 182.2 158.5 NH White
2101 95920 female 8 129.6 36.5 NH White
2102 95921 male 4 109.7 21.8 Mexican
2103 95922 male 25 174.4 83.4 NH White
2104 95923 male 8 146.7 57.5 Other Hispanic
2105 95924 female 65 172.9 110.2 NH Black
2106 95925 male 2 97.2 14.5 NH Black
2107 95926 female 12 157.6 42.3 NH White
2108 95927 female 18 160.5 50.2 NH Black
2109 95928 female 56 160.6 69.1 NH Asian
2110 95929 female 10 146.5 43.1 NH Black
2111 95930 male 5 121.7 35.1 NH White
2112 95931 female 69 143.5 74.4 NH White
2113 95932 male 1 NA 11.9 NH White
2114 95933 male 16 174.1 123.5 NH Black
2115 95934 female 12 156.1 55.0 Mexican
2116 95935 male 19 165.1 89.8 NH White
2117 95936 female 63 165.1 106.8 NH Black
2118 95937 male 9 134.6 28.2 Other Hispanic
2119 95938 male 1 NA 11.6 NH Black
2120 95939 male 76 159.8 84.1 NH White
2121 95941 female 3 93.6 12.5 NH White
2122 95942 female 6 108.9 18.1 Mexican
2123 95943 female 9 124.9 23.5 NH Black
2124 95944 male 54 172.6 127.6 NH Asian
2125 95945 female 70 154.0 69.4 NH White
2126 95947 female 3 92.1 15.5 NH Asian
2127 95948 female 18 170.8 67.6 NH White
2128 95949 male 7 120.2 21.6 Other Hispanic
2129 95950 male 45 181.5 75.2 NH White
2130 95951 male 24 169.7 69.3 NH White
2131 95952 male 68 172.5 83.0 NH White
2132 95953 female 18 165.6 55.7 NH White
2133 95955 female 22 164.0 102.1 NH White
2134 95956 male 17 184.1 99.7 Mexican
2135 95957 female 2 84.1 12.1 Other Hispanic
2136 95958 female 12 164.8 71.8 NH Asian
2137 95959 male 17 168.0 48.2 Other/Mixed
2138 95960 female 11 165.3 85.1 NH White
2139 95961 male 4 99.0 17.4 NH White
2140 95962 male 32 179.1 185.0 NH White
2141 95963 female 8 122.0 28.4 Mexican
2142 95964 female 80 162.7 71.1 NH White
2143 95966 male 66 178.9 103.3 NH White
2144 95967 female 8 109.5 19.0 NH White
2145 95968 female 49 157.5 50.1 NH Asian
2146 95969 male 48 186.9 131.2 NH White
2147 95970 female 7 123.9 25.3 NH White
2148 95971 female 71 152.6 111.7 Mexican
2149 95972 female 3 95.6 13.4 NH White
2150 95973 female 21 154.5 60.7 Other Hispanic
2151 95974 female 4 103.1 17.5 NH White
2152 95975 male 8 148.1 49.7 NH Black
2153 95976 female 65 167.9 89.9 Other/Mixed
2154 95977 female 26 178.4 69.7 NH Black
2155 95978 male 57 184.6 73.9 Other/Mixed
2156 95979 male 66 174.5 62.0 NH Black
2157 95980 male 8 121.4 21.6 NH Black
2158 95981 male 69 170.3 78.8 NH Asian
2159 95983 female 78 156.8 83.1 NH White
2160 95984 female 9 126.7 23.3 NH Asian
2161 95985 male 62 176.9 75.3 NH White
2162 95986 male 48 165.6 88.2 NH Black
2163 95987 male 80 NA 79.9 NH White
2164 95988 male 80 171.1 104.1 NH White
2165 95989 female 13 164.2 68.6 Mexican
2166 95990 female 28 167.5 59.9 NH White
2167 95991 male 43 174.4 83.0 NH Asian
2168 95992 female 79 158.2 79.9 NH White
2169 95993 female 80 160.1 63.9 NH White
2170 95994 female 11 158.4 66.7 Other Hispanic
2171 95995 female 47 147.8 63.3 NH Asian
2172 95996 female 42 166.0 108.0 NH Black
2173 95997 female 61 156.5 75.6 NH Black
2174 95998 male 29 161.9 78.8 Mexican
2175 95999 male 16 190.7 73.3 NH Black
2176 96000 male 29 181.7 62.2 NH Black
2177 96001 male 64 171.9 149.7 NH White
2178 96002 female 34 158.1 100.3 Mexican
2179 96003 female 49 152.6 73.5 Mexican
2180 96004 male 55 186.0 59.0 NH White
2181 96005 male 14 172.4 89.2 NH White
2182 96006 female 38 146.3 69.9 NH Asian
2183 96008 male 52 178.8 94.3 NH Black
2184 96009 male 4 100.7 15.5 NH White
2185 96010 male 64 174.1 58.7 NH Black
2186 96011 female 32 162.6 64.0 Mexican
2187 96012 male 16 193.9 131.9 NH Black
2188 96013 female 15 160.2 66.1 Mexican
2189 96014 female 36 162.0 46.9 NH Asian
2190 96015 female 1 NA 8.8 NH White
2191 96016 male 80 173.9 84.6 NH White
2192 96017 male 64 159.0 61.4 Other Hispanic
2193 96018 female 12 149.4 71.7 NH Black
2194 96019 female 80 157.0 59.8 NH White
2195 96020 female 80 142.9 57.1 NH White
2196 96021 male 0 NA 6.0 NH White
2197 96022 male 56 165.2 78.7 Mexican
2198 96023 female 73 155.2 74.9 Mexican
2199 96025 male 40 186.5 104.1 Other/Mixed
2200 96026 female 8 129.0 27.5 NH Asian
2201 96027 female 80 156.3 67.6 NH White
2202 96028 male 10 135.3 33.0 Other Hispanic
2203 96029 male 31 165.2 80.8 NH Asian
2204 96030 male 59 183.2 87.6 NH Black
2205 96031 female 24 170.9 68.2 Other Hispanic
2206 96032 female 11 154.5 52.1 NH Black
2207 96033 female 60 159.8 88.7 NH Black
2208 96034 male 57 178.9 81.2 NH White
2209 96035 female 20 157.0 55.7 NH Asian
2210 96036 female 13 166.6 78.3 NH White
2211 96037 male 60 173.4 124.5 NH White
2212 96038 female 55 159.4 56.9 NH Asian
2213 96039 male 1 NA 12.3 NH White
2214 96040 male 9 137.1 38.6 Mexican
2215 96041 male 80 173.0 65.3 NH Black
2216 96042 female 6 119.0 25.3 NH White
2217 96043 female 9 124.6 24.3 Other/Mixed
2218 96044 female 61 163.6 114.6 NH Black
2219 96045 female 5 114.8 27.6 NH White
2220 96046 male 4 104.3 17.3 NH White
2221 96047 male 10 133.9 33.5 NH Asian
2222 96048 male 47 160.7 70.9 Other Hispanic
2223 96049 male 69 165.1 79.7 Other Hispanic
2224 96050 female 46 164.8 84.7 NH White
2225 96051 female 11 158.1 44.1 NH Black
2226 96052 female 14 152.0 48.9 NH Black
2227 96054 female 0 NA 7.0 Mexican
2228 96055 male 10 147.8 44.1 NH Black
2229 96056 male 20 176.9 76.2 Mexican
2230 96057 male 11 140.4 38.6 Mexican
2231 96058 female 10 130.3 27.2 Mexican
2232 96059 female 0 NA 8.0 Mexican
2233 96061 male 67 166.7 74.4 NH White
2234 96062 female 1 NA 11.1 NH White
2235 96063 female 27 161.6 52.1 NH Asian
2236 96064 male 49 174.4 75.3 NH Asian
2237 96065 male 66 153.3 63.5 NH Black
2238 96066 male 52 169.0 61.4 Other/Mixed
2239 96067 female 42 159.0 143.0 NH White
2240 96068 female 17 167.0 75.3 Mexican
2241 96069 male 7 130.7 25.1 NH Asian
2242 96070 male 45 167.4 69.4 NH Asian
2243 96071 male 12 148.1 30.9 NH Asian
2244 96073 female 2 92.0 14.1 NH White
2245 96074 female 34 171.4 111.9 NH White
2246 96077 male 80 172.7 65.7 NH White
2247 96078 male 19 174.1 137.3 Mexican
2248 96079 male 52 156.1 80.6 Mexican
2249 96081 female 10 137.7 45.2 Mexican
2250 96082 male 37 189.3 120.1 NH White
2251 96083 female 17 154.8 67.4 NH Black
2252 96084 female 34 170.2 158.2 NH Black
2253 96085 male 25 179.4 100.9 NH White
2254 96086 male 65 172.9 110.9 NH White
2255 96087 male 68 168.0 70.4 Other Hispanic
2256 96088 male 20 173.1 61.0 NH Black
2257 96089 male 76 174.3 93.8 NH White
2258 96090 male 63 171.4 96.8 NH White
2259 96091 female 54 152.6 77.4 Other Hispanic
2260 96092 male 22 171.9 56.1 Other Hispanic
2261 96093 female 20 156.8 95.9 NH White
2262 96094 female 52 170.4 119.1 NH Black
2263 96096 male 52 180.0 111.6 NH White
2264 96097 male 58 179.6 84.5 NH White
2265 96098 male 42 175.3 116.1 Mexican
2266 96099 male 63 158.4 58.6 NH Asian
2267 96100 male 65 168.3 65.5 Other/Mixed
2268 96101 male 52 NA 79.5 NH Asian
2269 96103 female 23 159.2 109.4 NH Asian
2270 96104 male 17 164.2 55.7 NH Asian
2271 96105 female 24 163.2 55.9 Other Hispanic
2272 96106 female 10 136.5 31.1 NH White
2273 96108 female 47 161.6 98.3 Mexican
2274 96109 male 8 132.5 38.4 Other Hispanic
2275 96111 female 31 150.9 82.0 NH Black
2276 96112 male 73 167.7 113.0 NH White
2277 96113 male 2 87.3 12.9 Other/Mixed
2278 96114 male 68 NA NA NH Black
2279 96115 female 71 NA NA Other Hispanic
2280 96116 female 54 161.7 71.0 NH White
2281 96117 male 68 163.4 70.6 Other Hispanic
2282 96118 female 2 86.6 12.5 NH Black
2283 96119 female 14 180.1 81.0 NH White
2284 96120 male 60 172.3 73.6 NH Black
2285 96121 female 65 161.2 81.3 NH White
2286 96122 female 54 139.7 47.5 NH Asian
2287 96123 female 35 155.1 86.6 Mexican
2288 96124 female 52 156.5 67.3 NH Asian
2289 96125 female 28 165.9 61.1 NH White
2290 96126 male 5 109.8 19.9 NH Black
2291 96127 male 17 180.5 84.8 Mexican
2292 96128 male 16 185.8 63.7 NH White
2293 96129 male 5 119.1 23.5 Other/Mixed
2294 96130 male 61 170.6 77.8 NH Asian
2295 96131 male 3 105.0 26.5 NH Black
2296 96132 male 16 185.1 76.4 NH White
2297 96133 male 32 185.2 154.3 NH Black
2298 96134 female 65 154.7 64.1 NH Asian
2299 96135 female 73 154.7 93.6 NH Black
2300 96136 male 62 161.9 70.6 Mexican
2301 96137 female 48 159.8 93.4 NH White
2302 96138 male 34 172.6 92.7 NH White
2303 96139 male 27 162.9 62.3 Other Hispanic
2304 96140 male 54 161.8 77.2 Other Hispanic
2305 96141 male 60 157.4 71.4 Other Hispanic
2306 96142 male 3 104.5 19.2 Other Hispanic
2307 96143 male 55 169.9 87.8 NH Asian
2308 96144 female 64 158.8 83.8 NH Black
2309 96145 female 78 169.0 104.5 NH White
2310 96146 female 0 NA 4.9 NH White
2311 96147 male 31 184.2 NA NH White
2312 96148 female 2 89.6 12.0 NH White
2313 96149 female 63 153.6 61.7 NH Asian
2314 96150 male 23 174.5 53.9 NH White
2315 96151 male 57 172.3 86.3 NH White
2316 96152 male 61 161.9 92.2 Mexican
2317 96153 female 10 134.2 28.5 NH White
2318 96154 female 1 NA 11.3 NH White
2319 96155 male 4 105.3 16.7 Other Hispanic
2320 96156 male 46 172.0 70.8 NH Asian
2321 96157 male 11 140.5 37.0 Other Hispanic
2322 96158 male 26 178.7 131.4 NH Black
2323 96159 female 61 145.7 97.2 NH Black
2324 96160 female 58 163.6 63.4 Mexican
2325 96161 female 9 143.3 58.4 Mexican
2326 96162 female 60 163.0 91.0 Other Hispanic
2327 96163 female 35 145.6 70.4 NH Asian
2328 96164 female 64 151.3 59.0 NH Asian
2329 96165 female 64 149.2 66.4 NH Asian
2330 96166 female 8 142.5 27.8 NH White
2331 96168 female 13 157.5 43.6 Mexican
2332 96169 female 63 156.5 64.3 NH Black
2333 96170 female 72 161.8 74.0 Mexican
2334 96171 female 80 153.5 70.7 NH White
2335 96172 female 80 159.8 70.3 NH White
2336 96174 male 8 128.7 28.6 Other/Mixed
2337 96175 male 39 170.7 97.2 NH Black
2338 96176 male 6 109.7 21.6 NH White
2339 96177 female 16 160.0 77.8 NH White
2340 96178 male 63 179.1 84.4 NH Black
2341 96179 male 64 178.4 90.9 NH White
2342 96180 female 4 109.1 21.6 NH Black
2343 96181 male 74 167.0 88.9 NH White
2344 96182 female 0 NA 5.3 NH Black
2345 96183 male 0 NA 6.2 NH White
2346 96184 male 80 164.6 66.7 NH White
2347 96185 female 75 149.1 78.3 NH White
2348 96186 male 45 176.0 123.8 NH Black
2349 96187 male 11 144.9 34.0 Mexican
2350 96188 female 55 157.4 79.7 NH Black
2351 96189 male 50 192.3 161.6 Other/Mixed
2352 96190 male 54 161.7 59.5 NH Asian
2353 96191 female 39 152.0 76.1 Mexican
2354 96192 female 14 149.1 65.3 NH Black
2355 96193 male 8 143.4 32.9 NH Black
2356 96194 female 4 100.9 18.3 NH Black
2357 96195 male 80 174.3 105.0 NH White
2358 96196 female 34 163.2 157.4 NH White
2359 96197 male 12 166.3 59.0 Other/Mixed
2360 96198 female 29 161.5 51.4 NH Black
2361 96199 male 7 129.6 27.1 NH Black
2362 96200 male 0 NA 7.8 NH White
2363 96201 male 11 147.8 39.9 NH White
2364 96202 male 10 144.7 37.5 Other/Mixed
2365 96203 male 5 111.8 27.0 Other Hispanic
2366 96204 female 3 97.0 14.0 NH White
2367 96205 male 52 178.3 83.0 NH Black
2368 96206 male 9 134.9 35.2 NH White
2369 96207 female 3 102.3 16.3 NH White
2370 96208 female 2 89.7 12.1 NH White
2371 96209 male 2 89.4 15.6 Mexican
2372 96210 male 80 174.8 91.7 NH White
2373 96211 male 32 169.5 104.6 NH White
2374 96212 female 0 NA 8.0 Mexican
2375 96213 female 17 160.6 101.5 Mexican
2376 96214 female 13 160.9 78.5 NH Black
2377 96216 female 56 168.2 75.8 NH Black
2378 96217 male 71 172.3 101.0 NH White
2379 96219 female 41 158.7 106.2 NH Black
2380 96220 male 33 179.5 83.3 NH Asian
2381 96221 male 66 184.9 117.1 NH White
2382 96222 female 40 161.4 68.4 NH White
2383 96223 male 70 171.9 58.3 NH Black
2384 96224 female 59 166.5 65.0 NH White
2385 96225 male 6 120.8 23.6 Other Hispanic
2386 96226 male 31 175.3 95.9 NH Black
2387 96227 female 6 127.3 26.9 Other/Mixed
2388 96229 female 24 147.0 38.2 NH White
2389 96230 male 60 170.9 114.8 NH White
2390 96231 female 2 80.0 9.8 NH Black
2391 96232 male 7 137.4 35.7 NH White
2392 96233 male 18 172.5 72.8 NH Black
2393 96234 male 40 176.2 121.9 Other/Mixed
2394 96235 male 17 180.3 59.4 Mexican
2395 96236 female 78 156.0 50.7 NH Black
2396 96237 female 58 160.8 56.3 NH White
2397 96238 male 18 177.0 72.6 NH White
2398 96239 female 69 154.1 83.5 NH White
2399 96240 female 42 157.4 69.2 NH Asian
2400 96241 female 18 161.0 47.3 NH Asian
2401 96242 male 64 169.3 67.8 NH Black
2402 96243 female 29 160.6 67.9 NH White
2403 96244 female 38 151.6 57.7 Mexican
2404 96245 female 60 155.6 79.9 Mexican
2405 96246 female 12 160.3 44.8 NH Asian
2406 96247 male 11 153.5 37.4 NH White
2407 96248 female 7 118.7 18.4 NH Asian
2408 96249 female 58 155.6 69.9 Mexican
2409 96250 male 42 172.6 97.1 NH White
2410 96251 female 4 114.6 21.1 Other/Mixed
2411 96252 female 79 151.2 50.3 Mexican
2412 96253 female 47 176.7 97.0 NH White
2413 96254 male 3 98.0 15.4 Mexican
2414 96255 male 0 NA 5.8 NH White
2415 96256 male 1 NA 10.6 Mexican
2416 96257 female 32 155.1 68.4 Mexican
2417 96258 female 6 124.3 28.7 NH White
2418 96259 male 9 136.8 28.7 NH White
2419 96260 male 12 169.1 47.7 NH Asian
2420 96261 female 16 157.1 58.7 Mexican
2421 96263 male 12 144.8 35.2 NH White
2422 96264 female 45 NA NA NH Black
2423 96265 male 66 166.7 73.5 NH Black
2424 96266 female 53 151.2 54.8 NH Asian
2425 96267 male 0 NA 8.6 Other Hispanic
2426 96268 male 80 162.6 79.0 Other/Mixed
2427 96269 female 33 148.9 63.8 Mexican
2428 96270 male 25 180.0 86.9 Other Hispanic
2429 96271 male 70 159.3 59.5 NH Asian
2430 96272 male 29 173.8 76.9 NH Asian
2431 96273 male 13 158.2 47.8 NH Black
2432 96275 female 31 163.1 70.4 NH White
2433 96276 male 49 180.0 124.0 NH Black
2434 96277 female 5 121.0 23.2 NH Black
2435 96279 female 54 156.2 81.4 NH White
2436 96280 female 19 159.1 87.5 Mexican
2437 96282 male 49 173.8 108.1 NH White
2438 96283 male 46 182.1 86.8 NH White
2439 96284 male 71 179.4 107.7 NH White
2440 96285 female 16 167.9 64.5 NH White
2441 96286 male 12 154.5 39.4 Other Hispanic
2442 96287 female 74 154.6 84.6 Other Hispanic
2443 96288 male 19 178.8 86.2 NH White
2444 96289 male 17 170.1 72.0 Other/Mixed
2445 96290 female 73 159.3 79.9 NH Black
2446 96291 female 53 165.6 136.5 NH Black
2447 96292 female 4 103.5 15.9 NH Black
2448 96293 male 64 165.1 71.4 NH Asian
2449 96294 female 15 173.2 64.3 NH White
2450 96295 male 31 171.0 73.9 NH White
2451 96296 female 72 154.5 50.6 NH White
2452 96297 female 32 166.8 74.7 NH White
2453 96298 male 17 178.4 67.8 NH White
2454 96299 male 29 172.2 62.1 NH White
2455 96300 female 7 117.8 20.5 NH Asian
2456 96301 male 54 195.5 105.7 NH Black
2457 96302 male 72 169.9 81.4 NH White
2458 96304 female 60 163.1 96.4 NH Black
2459 96305 male 12 140.2 31.7 Mexican
2460 96306 female 80 156.8 84.1 NH Black
2461 96307 female 0 NA 5.9 NH White
2462 96308 male 53 165.2 84.2 Mexican
2463 96309 female 76 154.6 49.4 NH Asian
2464 96310 male 54 154.0 64.4 NH Asian
2465 96311 female 19 170.9 54.6 NH Black
2466 96312 female 31 154.9 66.4 NH White
2467 96313 female 29 155.1 56.9 NH Asian
2468 96314 female 3 90.2 12.5 NH White
2469 96315 male 13 162.2 57.4 NH Asian
2470 96316 male 0 NA 9.7 Mexican
2471 96317 male 68 176.0 120.8 NH Black
2472 96318 female 41 172.4 76.9 NH White
2473 96319 female 70 161.2 87.4 NH White
2474 96320 male 46 170.0 87.4 NH White
2475 96321 male 69 168.4 47.3 NH White
2476 96322 female 34 147.5 52.2 NH Asian
2477 96323 male 63 168.7 79.5 NH Black
2478 96324 male 0 NA 7.0 NH White
2479 96325 female 26 148.2 73.1 Other/Mixed
2480 96326 male 14 175.9 90.3 Other/Mixed
2481 96327 female 10 139.2 45.3 Mexican
2482 96328 male 12 157.6 47.1 NH Black
2483 96329 female 42 166.1 64.5 Mexican
2484 96330 male 64 183.6 94.7 Other/Mixed
2485 96332 male 49 179.0 58.5 NH White
2486 96333 female 60 151.3 59.8 Other Hispanic
2487 96334 female 10 142.0 48.7 Mexican
2488 96335 male 80 178.9 104.2 NH White
2489 96336 male 74 170.4 76.0 NH Black
2490 96337 male 20 178.1 93.1 Mexican
2491 96338 female 19 NA NA NH White
2492 96339 female 71 163.4 61.0 NH Black
2493 96340 male 49 171.6 89.0 NH White
2494 96341 male 7 117.8 30.6 NH Asian
2495 96342 female 80 160.5 75.7 NH White
2496 96343 male 8 137.4 39.4 Other Hispanic
2497 96344 female 42 156.2 88.7 Mexican
2498 96345 male 13 172.3 82.9 NH White
2499 96346 male 29 159.7 94.6 NH Black
2500 96347 female 15 164.6 50.5 NH Asian
2501 96348 male 54 187.7 71.8 Other/Mixed
2502 96349 male 76 171.0 106.4 NH White
2503 96350 male 19 170.0 49.8 Mexican
2504 96351 male 60 173.4 80.5 NH White
2505 96352 male 67 172.6 83.7 NH Black
2506 96353 male 1 NA 12.3 NH White
2507 96354 female 3 92.2 14.4 Other/Mixed
2508 96355 female 20 149.5 39.1 Mexican
2509 96357 male 69 174.6 72.5 NH Black
2510 96358 female 48 151.1 66.4 NH White
2511 96359 male 0 NA 10.1 NH Black
2512 96360 female 72 156.2 67.4 NH White
2513 96361 female 17 168.0 63.8 NH Asian
2514 96362 female 61 159.9 69.9 NH White
2515 96363 female 10 136.8 31.1 NH Black
2516 96364 female 6 107.1 15.5 NH Black
2517 96365 female 39 165.6 71.7 NH White
2518 96366 female 61 154.2 117.9 Other Hispanic
2519 96367 male 58 183.4 95.1 NH Black
2520 96368 female 31 157.9 103.9 Other/Mixed
2521 96369 male 15 172.0 88.3 Mexican
2522 96370 female 77 164.9 59.9 NH White
2523 96371 female 14 161.5 50.7 Mexican
2524 96372 male 50 180.9 84.9 NH Asian
2525 96373 male 53 177.6 109.5 NH Black
2526 96374 female 16 163.5 58.8 Mexican
2527 96375 male 80 170.6 73.3 NH White
2528 96376 male 12 151.7 41.4 Other Hispanic
2529 96377 female 52 154.3 51.2 NH Asian
2530 96378 male 7 128.0 24.1 NH Black
2531 96379 female 21 175.8 72.3 Mexican
2532 96380 male 43 176.0 99.7 NH Black
2533 96381 female 4 102.6 17.3 NH Asian
2534 96382 male 29 169.0 62.8 NH Black
2535 96383 female 17 154.9 51.8 NH Black
2536 96384 male 0 NA 4.8 NH White
2537 96385 female 59 159.9 79.2 NH Black
2538 96386 male 62 175.5 68.2 Other Hispanic
2539 96387 female 4 101.7 17.4 NH White
2540 96389 female 77 152.4 57.1 NH White
2541 96390 male 46 185.8 98.5 Mexican
2542 96391 male 16 173.8 97.0 Mexican
2543 96392 female 28 164.1 81.6 Mexican
2544 96393 male 71 177.7 87.8 NH White
2545 96394 female 7 128.5 34.4 NH Black
2546 96395 female 10 NA NA NH White
2547 96396 male 38 184.7 98.2 Mexican
2548 96397 male 9 144.4 32.3 NH Asian
2549 96398 male 32 190.2 97.8 NH Black
2550 96399 male 42 166.2 107.6 Other/Mixed
2551 96400 male 32 171.9 84.9 NH White
2552 96401 female 13 165.1 98.9 NH Black
2553 96402 male 18 180.2 101.6 NH Black
2554 96403 male 23 168.6 60.0 Mexican
2555 96404 female 74 153.1 67.8 NH White
2556 96405 female 23 147.9 64.8 Other Hispanic
2557 96406 female 73 162.1 92.8 NH White
2558 96408 female 44 142.7 90.8 NH Black
2559 96409 female 80 NA NA Mexican
2560 96410 male 14 163.5 48.3 NH Black
2561 96411 female 60 167.8 71.3 NH Black
2562 96412 female 11 150.6 36.5 NH White
2563 96413 male 71 179.8 104.9 NH Black
2564 96414 male 1 NA 12.2 NH White
2565 96415 male 36 176.4 89.0 Other Hispanic
2566 96416 female 42 172.4 69.8 NH White
2567 96417 female 33 156.1 54.2 NH Asian
2568 96418 female 15 162.9 46.7 Other Hispanic
2569 96419 female 15 161.2 67.2 Mexican
2570 96420 male 60 178.7 76.7 NH Asian
2571 96421 female 12 157.4 41.4 Other Hispanic
2572 96422 female 66 151.4 64.3 Mexican
2573 96423 male 2 NA 15.8 NH Asian
2574 96424 male 1 NA 11.6 NH Black
2575 96425 male 15 172.5 56.2 Other/Mixed
2576 96426 male 80 155.8 92.1 NH Black
2577 96428 female 37 162.4 70.1 Other/Mixed
2578 96430 male 8 125.5 29.5 NH White
2579 96431 male 47 172.3 115.1 Mexican
2580 96432 female 47 160.7 56.4 Other/Mixed
2581 96433 female 35 160.7 89.9 NH White
2582 96434 female 3 96.7 17.2 NH White
2583 96435 female 10 143.1 41.9 NH Black
2584 96436 male 74 179.2 99.8 NH White
2585 96437 female 3 88.7 11.7 NH Asian
2586 96439 male 63 174.4 73.5 NH Asian
2587 96441 female 61 158.4 73.1 NH Black
2588 96442 male 14 181.9 93.1 NH White
2589 96443 female 24 165.3 54.0 NH White
2590 96444 female 21 NA NA NH Asian
2591 96445 male 66 167.8 102.4 Mexican
2592 96446 female 62 162.4 84.8 NH White
2593 96447 male 0 NA 7.9 NH Black
2594 96448 female 50 164.2 72.2 Mexican
2595 96449 female 61 150.0 80.4 Other Hispanic
2596 96450 female 53 160.6 83.3 NH White
2597 96451 female 80 NA NA NH White
2598 96452 male 38 159.5 73.2 Mexican
2599 96453 female 24 150.8 51.5 Other Hispanic
2600 96455 male 34 185.7 145.2 NH White
2601 96456 female 69 154.9 60.4 NH White
2602 96457 male 58 181.6 98.7 Mexican
2603 96458 male 1 NA 11.6 Other Hispanic
2604 96459 female 5 110.1 16.7 NH Asian
2605 96460 female 2 87.6 12.4 Mexican
2606 96461 male 3 96.9 15.6 NH Black
2607 96462 male 65 164.4 64.7 NH Black
2608 96463 male 26 176.9 62.3 Mexican
2609 96465 female 41 160.3 56.2 NH Asian
2610 96466 female 31 170.6 60.4 NH Black
2611 96467 female 16 155.9 70.4 NH White
2612 96468 female 66 154.3 77.2 NH Black
2613 96469 female 42 152.7 61.5 Mexican
2614 96470 male 47 166.0 77.7 NH White
2615 96471 male 65 197.7 97.5 NH Black
2616 96472 male 5 114.8 22.8 NH White
2617 96473 male 79 161.1 67.8 NH White
2618 96474 female 37 156.1 52.3 NH Asian
2619 96475 male 51 180.3 109.7 NH Black
2620 96476 female 37 166.7 148.6 NH Black
2621 96477 male 65 176.6 122.8 NH Black
2622 96478 male 18 168.6 59.6 NH Asian
2623 96479 female 56 164.4 87.6 NH White
2624 96480 male 65 161.0 52.1 Other/Mixed
2625 96481 male 29 185.9 88.9 Mexican
2626 96482 male 11 149.1 45.1 Other Hispanic
2627 96483 female 49 169.0 70.6 NH Black
2628 96484 male 27 174.9 63.5 Mexican
2629 96485 female 21 154.8 75.3 NH White
2630 96486 male 77 174.9 99.0 NH White
2631 96487 male 19 186.2 82.5 NH White
2632 96488 male 62 164.5 79.0 Other Hispanic
2633 96489 female 57 150.4 94.3 Mexican
2634 96490 female 39 157.0 54.3 NH Asian
2635 96491 female 53 154.8 75.5 NH Asian
2636 96492 male 4 105.3 15.0 Mexican
2637 96493 male 8 135.7 33.5 NH Black
2638 96494 male 5 118.2 20.9 NH Black
2639 96495 male 22 173.2 69.3 NH Black
2640 96496 male 1 NA 9.2 NH Black
2641 96497 female 22 168.0 103.9 NH White
2642 96498 male 10 143.8 55.4 Mexican
2643 96500 male 24 163.9 54.4 NH Asian
2644 96501 male 50 171.1 124.1 Other Hispanic
2645 96502 female 60 158.9 69.5 NH White
2646 96503 female 72 153.6 70.3 Other Hispanic
2647 96504 female 13 165.3 52.2 NH White
2648 96505 female 40 168.0 120.8 Other/Mixed
2649 96507 female 37 150.1 55.3 NH Asian
2650 96508 female 46 158.6 71.2 Mexican
2651 96509 male 21 185.2 104.8 Mexican
2652 96510 female 32 160.0 74.6 NH White
2653 96511 male 41 177.4 89.7 NH Black
2654 96512 male 64 174.7 102.3 NH White
2655 96513 male 24 180.9 56.3 NH White
2656 96514 female 80 159.1 60.3 NH Black
2657 96515 male 69 167.3 55.7 NH Black
2658 96516 female 18 160.5 64.9 NH White
2659 96517 female 54 168.0 76.1 NH White
2660 96518 female 14 152.9 65.2 Mexican
2661 96519 female 33 154.0 53.6 NH Black
2662 96520 male 6 117.1 22.2 NH Black
2663 96521 male 62 172.1 80.4 NH White
2664 96522 female 52 163.8 48.7 NH White
2665 96523 female 21 166.8 106.4 Other Hispanic
2666 96524 male 8 127.4 26.5 NH White
2667 96525 male 80 172.2 72.0 NH White
2668 96526 male 63 NA NA NH Black
2669 96527 male 6 125.5 26.2 NH Black
2670 96529 male 66 165.8 62.7 NH Asian
2671 96530 male 8 130.7 25.9 NH Black
2672 96531 female 3 97.3 14.8 NH White
2673 96532 female 45 161.8 105.1 NH White
2674 96533 male 15 174.7 93.0 NH White
2675 96534 female 48 159.2 60.8 NH Black
2676 96535 male 4 108.8 19.0 NH Black
2677 96536 male 9 130.0 28.4 NH Asian
2678 96537 female 66 151.9 61.5 NH White
2679 96538 female 51 154.8 83.0 Mexican
2680 96539 female 9 139.1 28.8 NH Asian
2681 96540 male 66 160.8 60.9 Other Hispanic
2682 96541 male 5 119.3 21.4 NH Black
2683 96542 female 17 168.6 51.6 NH White
2684 96543 female 46 159.6 63.4 NH Black
2685 96544 male 13 170.1 45.5 NH White
2686 96545 female 17 165.4 62.7 Other Hispanic
2687 96546 male 44 176.6 92.0 NH White
2688 96547 female 44 162.3 79.7 NH White
2689 96548 female 28 171.5 70.8 Mexican
2690 96549 male 0 NA 9.4 NH Black
2691 96550 male 15 175.0 66.0 Other/Mixed
2692 96551 female 36 163.0 99.1 Other/Mixed
2693 96552 male 43 171.1 80.0 NH Black
2694 96553 male 58 177.2 88.0 NH Asian
2695 96554 male 31 192.5 146.6 NH Black
2696 96555 male 46 184.8 85.9 NH Black
2697 96556 female 0 NA 5.7 Other Hispanic
2698 96557 male 38 182.8 90.4 NH Black
2699 96558 male 29 167.5 95.3 NH Black
2700 96559 male 13 160.7 42.4 NH Black
2701 96560 male 71 173.3 54.5 NH Black
2702 96561 male 53 184.9 124.8 Other/Mixed
2703 96562 female 9 136.7 46.2 Mexican
2704 96563 female 15 154.5 40.9 NH White
2705 96565 female 18 168.8 110.9 Mexican
2706 96566 male 23 183.7 94.0 NH White
2707 96567 female 2 89.7 14.6 NH White
2708 96568 male 80 168.8 67.4 NH White
2709 96569 male 77 166.3 78.8 NH White
2710 96570 male 10 139.7 56.0 Mexican
2711 96571 female 58 161.4 119.0 Mexican
2712 96572 male 8 143.5 33.5 NH White
2713 96573 female 46 165.8 75.2 NH White
2714 96574 female 39 155.3 58.1 NH White
2715 96575 male 0 NA 9.3 Other/Mixed
2716 96576 male 56 170.1 90.0 NH White
2717 96577 male 9 123.5 46.0 NH White
2718 96578 male 54 169.1 91.8 NH Black
2719 96579 female 10 144.8 36.3 NH Black
2720 96580 male 27 178.0 100.7 NH White
2721 96581 male 9 139.3 32.9 NH Black
2722 96582 male 47 174.4 81.1 NH Black
2723 96583 male 79 171.1 79.3 NH Black
2724 96584 female 10 158.2 52.8 NH Black
2725 96585 male 62 172.6 75.1 Mexican
2726 96586 female 65 161.8 84.4 NH Black
2727 96587 male 30 175.8 191.4 NH Black
2728 96588 male 40 157.5 73.2 NH Asian
2729 96589 female 15 156.1 80.8 NH Asian
2730 96590 female 27 153.6 96.4 Mexican
2731 96591 male 1 NA 11.3 NH White
2732 96592 male 80 170.4 91.3 NH White
2733 96593 male 30 177.4 77.5 NH White
2734 96594 male 39 180.3 155.6 NH White
2735 96595 female 64 151.4 70.1 Other Hispanic
2736 96596 male 35 170.2 83.1 Mexican
2737 96597 female 4 105.2 17.6 NH Asian
2738 96598 female 67 158.6 87.8 NH Black
2739 96599 male 72 167.7 90.7 NH White
2740 96600 female 25 155.8 103.1 NH Black
2741 96601 male 3 NA NA NH White
2742 96602 male 80 168.4 85.6 NH White
2743 96603 male 60 179.3 129.6 NH White
2744 96606 male 14 164.1 58.4 NH Asian
2745 96607 male 71 184.8 120.1 NH White
2746 96608 male 30 172.4 73.2 NH White
2747 96609 female 36 160.8 65.1 NH Black
2748 96610 female 34 157.4 51.9 NH Asian
2749 96611 male 10 154.4 105.1 NH Black
2750 96612 female 5 112.2 21.6 NH Black
2751 96613 female 7 125.1 26.4 NH Black
2752 96614 male 79 175.8 68.0 NH Black
2753 96615 male 62 166.8 81.3 Mexican
2754 96616 male 51 165.9 69.2 NH Asian
2755 96617 female 7 124.8 24.8 NH Asian
2756 96618 female 36 166.6 57.2 NH White
2757 96619 female 23 172.9 44.3 NH White
2758 96620 male 2 94.8 14.4 NH Black
2759 96622 female 40 159.6 120.1 NH Black
2760 96623 male 53 167.3 78.7 Mexican
2761 96624 male 36 169.0 81.8 NH Asian
2762 96625 male 26 166.9 66.9 NH Asian
2763 96626 male 23 179.5 69.2 NH Asian
2764 96628 male 32 171.0 104.4 NH White
2765 96629 female 46 173.4 89.2 NH Black
2766 96630 male 41 175.6 111.6 Other Hispanic
2767 96631 male 37 177.5 104.7 Other Hispanic
2768 96633 male 65 171.8 81.4 NH Black
2769 96634 male 59 161.3 57.8 Mexican
2770 96635 male 2 97.2 17.4 Other Hispanic
2771 96636 female 40 164.2 76.3 Mexican
2772 96637 male 17 186.5 80.6 NH White
2773 96638 male 58 175.3 79.8 NH White
2774 96639 male 78 159.9 68.5 Other Hispanic
2775 96640 male 5 109.3 16.6 Mexican
2776 96641 male 35 190.5 94.3 Other/Mixed
2777 96642 male 67 159.6 61.9 Mexican
2778 96643 male 2 92.0 13.2 NH White
2779 96644 male 66 163.0 85.7 Mexican
2780 96646 male 44 165.9 73.3 Other Hispanic
2781 96647 female 14 165.0 72.9 NH Black
2782 96649 male 51 181.9 132.3 NH Black
2783 96650 female 1 NA 10.8 NH Black
2784 96651 female 49 163.9 110.4 NH Black
2785 96652 male 63 173.4 100.7 Other Hispanic
2786 96653 male 28 169.0 86.2 NH Asian
2787 96654 male 80 166.3 65.4 NH White
2788 96655 male 13 184.8 77.6 Mexican
2789 96656 male 24 157.6 62.2 Other Hispanic
2790 96657 male 26 181.8 85.9 NH Asian
2791 96658 male 60 175.0 78.7 NH Black
2792 96659 female 58 174.8 68.8 NH White
2793 96660 female 61 167.0 72.6 NH White
2794 96661 female 24 164.9 53.9 NH Asian
2795 96662 male 0 NA 9.2 NH White
2796 96663 female 20 163.4 57.4 NH White
2797 96664 female 1 NA 10.2 NH Black
2798 96665 female 1 NA 12.2 NH White
2799 96666 male 52 167.7 123.9 Mexican
2800 96667 male 69 165.2 94.6 Mexican
2801 96668 female 0 NA 8.6 NH White
2802 96669 female 55 159.7 42.5 NH Asian
2803 96670 female 12 152.6 43.1 NH White
2804 96671 female 37 162.8 65.0 NH Asian
2805 96672 male 32 173.0 78.2 NH Asian
2806 96673 male 6 117.7 24.7 NH White
2807 96674 male 30 180.4 96.6 Other Hispanic
2808 96675 female 18 168.1 87.2 NH White
2809 96677 female 25 165.3 93.9 NH White
2810 96678 female 1 NA 11.0 NH White
2811 96679 female 30 163.6 51.2 NH White
2812 96680 female 6 126.2 23.3 NH Asian
2813 96681 female 33 167.7 91.5 Other/Mixed
2814 96682 male 10 146.1 36.9 NH Asian
2815 96683 female 41 NA NA Other Hispanic
2816 96685 female 17 162.8 85.9 NH Black
2817 96687 female 80 156.7 71.7 NH White
2818 96688 male 58 179.0 106.5 NH Black
2819 96689 female 11 155.9 51.1 Other/Mixed
2820 96690 female 5 98.9 15.0 Mexican
2821 96691 male 5 110.5 19.5 NH Asian
2822 96692 male 29 174.1 79.3 Other Hispanic
2823 96693 female 18 153.8 47.2 Other/Mixed
2824 96694 male 39 181.0 75.3 NH White
2825 96695 female 25 156.3 68.2 NH White
2826 96696 male 18 179.8 117.0 Mexican
2827 96697 male 25 180.5 74.3 NH White
2828 96698 male 40 173.6 119.6 NH White
2829 96699 female 59 156.3 87.0 NH White
2830 96700 male 68 172.4 95.1 NH White
2831 96701 male 74 166.4 67.0 Other Hispanic
2832 96703 female 0 NA 7.2 NH White
2833 96704 female 80 160.6 82.1 NH Black
2834 96705 male 40 166.0 75.7 NH White
2835 96706 male 40 174.2 86.2 NH White
2836 96707 female 64 165.9 70.0 Other/Mixed
2837 96708 female 52 162.4 77.0 NH White
2838 96709 male 1 NA 11.1 NH White
2839 96711 female 36 160.7 66.4 Mexican
2840 96712 female 80 156.5 80.6 NH White
2841 96714 male 0 NA 7.7 NH Black
2842 96715 male 13 168.6 75.5 NH Black
2843 96716 female 3 101.0 19.0 NH Black
2844 96718 male 80 159.9 66.9 NH White
2845 96719 female 50 169.7 124.8 NH Black
2846 96720 male 80 167.6 98.4 NH White
2847 96721 female 32 167.0 144.6 Mexican
2848 96722 male 68 172.9 153.9 NH White
2849 96723 female 38 163.2 51.9 NH White
2850 96724 female 8 129.6 27.7 NH White
2851 96725 female 33 156.4 79.3 Other Hispanic
2852 96726 female 61 177.1 198.7 NH Black
2853 96727 female 76 157.8 91.1 Other Hispanic
2854 96728 male 6 121.7 25.2 NH White
2855 96729 female 8 115.9 21.1 NH Asian
2856 96730 female 53 151.5 64.7 Other Hispanic
2857 96731 male 41 169.8 103.1 NH Black
2858 96732 male 57 180.7 111.1 NH White
2859 96733 female 12 152.6 48.0 NH Black
2860 96734 female 19 154.7 62.5 NH Black
2861 96735 male 3 106.7 20.0 NH Black
2862 96736 male 72 168.1 84.8 NH Black
2863 96737 female 34 160.3 52.6 NH Asian
2864 96738 male 1 NA 11.9 NH White
2865 96739 male 20 174.4 95.1 NH Asian
2866 96740 male 27 176.2 105.8 NH Asian
2867 96741 female 10 158.2 54.6 Other/Mixed
2868 96743 male 33 185.2 147.1 NH White
2869 96744 male 33 167.1 133.7 Mexican
2870 96745 female 52 160.9 136.6 NH Black
2871 96746 male 17 188.7 83.7 NH Black
2872 96747 female 0 NA 5.8 NH White
2873 96748 female 37 150.3 97.7 Mexican
2874 96749 male 8 134.2 33.4 NH White
2875 96750 female 53 146.1 80.2 NH White
2876 96751 female 12 160.2 73.6 NH Black
2877 96752 female 54 NA NA Mexican
2878 96753 male 78 176.4 76.9 NH Black
2879 96754 female 79 148.7 52.7 NH Asian
2880 96756 female 23 163.2 88.1 NH White
2881 96758 male 47 178.9 131.3 NH Black
2882 96759 female 19 166.4 123.0 NH White
2883 96760 male 48 178.3 118.1 NH White
2884 96761 female 7 124.2 25.2 Mexican
2885 96762 male 8 135.5 54.3 Other/Mixed
2886 96763 male 14 174.7 58.3 Mexican
2887 96764 male 27 161.8 54.8 NH Asian
2888 96765 female 12 160.5 59.7 NH Black
2889 96766 female 52 161.4 91.6 NH Black
2890 96768 female 56 174.7 79.4 Other Hispanic
2891 96770 female 78 158.3 68.0 NH White
2892 96771 female 67 158.7 68.8 Other Hispanic
2893 96773 female 5 117.6 28.9 NH White
2894 96774 female 28 153.9 52.3 NH Asian
2895 96775 female 80 159.8 51.2 NH White
2896 96776 male 19 163.2 57.0 Other Hispanic
2897 96777 male 60 185.0 150.7 NH White
2898 96778 female 17 182.0 71.7 NH Black
2899 96779 male 0 NA 9.6 NH Black
2900 96780 male 80 184.0 79.2 NH White
2901 96781 male 7 128.0 23.8 NH White
2902 96782 male 10 NA NA NH Asian
2903 96783 female 58 158.5 60.6 Other Hispanic
2904 96784 male 74 160.1 63.4 Mexican
2905 96785 female 80 NA NA Other Hispanic
2906 96787 female 79 163.1 64.1 NH White
2907 96788 female 29 164.4 106.8 NH Black
2908 96789 female 80 151.1 64.3 Other Hispanic
2909 96790 male 34 NA NA Mexican
2910 96791 female 1 NA 10.9 NH White
2911 96792 female 61 164.5 71.6 NH Black
2912 96793 male 54 175.1 107.0 NH Black
2913 96794 male 8 128.0 28.4 NH White
2914 96795 male 22 186.2 137.2 NH White
2915 96797 female 8 131.0 30.2 NH White
2916 96798 male 70 180.4 115.7 NH Black
2917 96799 male 75 174.2 81.7 Other/Mixed
2918 96800 male 53 171.5 90.1 NH Black
2919 96801 male 5 114.8 22.7 NH Asian
2920 96802 female 5 106.6 16.8 NH Asian
2921 96803 male 4 108.2 17.4 NH Asian
2922 96804 male 67 174.6 125.3 NH Black
2923 96805 female 64 163.3 100.9 Other Hispanic
2924 96806 male 14 171.9 63.5 NH Black
2925 96807 male 0 NA 5.0 Mexican
2926 96808 male 5 112.7 18.6 NH White
2927 96809 male 80 176.2 85.4 NH Black
2928 96810 female 39 153.1 65.1 NH Asian
2929 96811 female 35 159.6 78.5 NH Black
2930 96812 male 72 157.5 60.0 NH Asian
2931 96813 male 30 178.2 90.0 NH Asian
2932 96814 female 0 NA 7.1 Mexican
2933 96815 male 77 178.1 89.5 NH White
2934 96816 female 60 164.0 68.9 NH Black
2935 96817 female 13 156.0 54.4 Mexican
2936 96818 male 49 183.0 76.4 NH Black
2937 96819 female 6 114.3 22.0 Mexican
2938 96820 male 47 187.0 99.1 NH White
2939 96821 male 21 178.7 78.0 NH Asian
2940 96822 male 19 170.4 60.7 Mexican
2941 96823 male 18 173.5 58.6 NH White
2942 96824 male 3 97.7 12.8 NH Asian
2943 96826 male 29 176.8 85.9 NH Asian
2944 96827 male 73 172.2 78.0 NH White
2945 96828 male 11 148.7 34.7 Other Hispanic
2946 96829 female 38 165.3 88.8 NH White
2947 96830 male 63 181.2 99.9 NH White
2948 96831 female 4 108.4 19.0 NH White
2949 96832 male 0 NA 9.9 Mexican
2950 96833 female 34 172.3 167.5 NH Black
2951 96834 male 77 171.1 103.1 Other Hispanic
2952 96835 female 68 168.1 75.9 NH White
2953 96836 female 59 164.4 109.3 NH Black
2954 96837 male 8 128.4 26.5 Mexican
2955 96838 female 32 163.0 74.7 NH Asian
2956 96839 female 22 171.6 132.2 Other/Mixed
2957 96840 male 67 173.6 85.6 NH Asian
2958 96841 male 74 173.3 61.1 NH White
2959 96842 female 75 161.1 85.4 NH White
2960 96843 male 16 168.7 89.3 Mexican
2961 96844 male 55 176.7 73.6 NH Asian
2962 96845 female 0 NA 10.3 Other/Mixed
2963 96846 female 5 113.7 18.6 NH Asian
2964 96847 female 44 161.0 53.4 NH Black
2965 96848 female 56 159.7 125.1 NH Black
2966 96849 female 11 154.8 51.2 Mexican
2967 96850 male 17 172.7 72.1 NH White
2968 96851 female 61 151.2 66.0 Other Hispanic
2969 96852 male 35 169.2 107.5 Mexican
2970 96853 female 0 NA 5.6 NH White
2971 96854 female 38 162.2 52.3 NH White
2972 96855 female 80 158.0 86.6 NH Black
2973 96856 male 5 111.4 21.3 NH Black
2974 96857 female 1 NA 8.7 Other/Mixed
2975 96858 male 11 148.2 43.6 NH Asian
2976 96859 male 17 167.5 50.6 NH White
2977 96860 female 22 163.3 74.2 NH White
2978 96861 male 11 165.3 67.2 NH White
2979 96862 female 51 171.3 101.7 NH White
2980 96863 male 56 183.2 103.7 NH White
2981 96864 female 6 109.5 18.1 NH White
2982 96865 female 28 172.5 67.4 NH Black
2983 96866 male 80 165.7 70.9 NH Asian
2984 96867 female 5 109.9 24.4 Other Hispanic
2985 96868 female 42 162.1 62.4 NH White
2986 96869 male 49 179.9 136.1 NH Black
2987 96871 male 72 172.5 87.6 NH White
2988 96872 male 2 98.6 17.1 NH Asian
2989 96873 female 80 158.1 109.9 NH Black
2990 96874 female 55 161.8 67.3 Mexican
2991 96875 female 56 164.6 135.0 NH Black
2992 96876 female 60 166.2 86.5 NH Black
2993 96877 male 60 168.5 92.3 NH Black
2994 96878 male 80 179.4 100.5 NH White
2995 96879 female 25 164.1 85.0 NH White
2996 96880 female 0 NA 3.5 NH Black
2997 96881 female 16 165.9 86.8 NH Black
2998 96882 female 44 146.7 76.6 NH Asian
2999 96884 female 55 160.3 70.2 NH Asian
3000 96885 male 24 168.2 85.0 Mexican
3001 96886 female 1 NA 11.5 NH White
3002 96887 female 57 152.5 65.1 NH White
3003 96888 female 4 105.7 18.9 NH Black
3004 96889 female 5 111.0 16.9 NH Asian
3005 96890 male 20 175.9 66.8 NH Black
3006 96891 male 41 179.2 86.9 NH Black
3007 96892 female 65 149.3 71.0 NH White
3008 96893 male 42 170.7 86.7 Other Hispanic
3009 96894 male 48 176.2 122.4 Other Hispanic
3010 96895 female 60 159.5 67.6 Other Hispanic
3011 96896 female 80 157.4 57.2 NH Black
3012 96897 male 15 171.2 53.1 Mexican
3013 96898 male 56 169.3 88.0 Other Hispanic
3014 96899 male 21 179.6 82.3 NH Black
3015 96900 male 24 162.0 74.1 Other Hispanic
3016 96901 female 33 156.5 64.1 Mexican
3017 96902 male 75 169.8 69.6 NH White
3018 96903 male 51 170.3 70.2 NH Asian
3019 96904 female 8 130.7 28.2 Mexican
3020 96905 female 3 94.9 14.9 NH White
3021 96906 male 74 172.3 94.2 NH White
3022 96907 female 35 171.6 105.6 NH White
3023 96908 female 73 151.5 63.2 Other/Mixed
3024 96910 female 10 145.2 41.1 Other/Mixed
3025 96911 female 4 103.3 15.0 NH Asian
3026 96912 male 50 191.8 125.2 NH Black
3027 96913 female 25 149.8 58.5 NH Asian
3028 96914 female 4 107.9 18.2 NH White
3029 96915 male 49 191.9 105.8 NH White
3030 96916 female 69 155.1 91.7 Mexican
3031 96917 male 3 98.9 16.2 Other Hispanic
3032 96918 male 7 136.2 32.6 NH White
3033 96919 female 12 135.5 31.2 NH Asian
3034 96920 female 0 NA 3.9 NH White
3035 96921 male 57 177.9 140.0 NH White
3036 96922 male 57 178.3 97.6 NH White
3037 96923 female 9 133.7 29.0 NH White
3038 96924 female 16 176.6 57.3 NH Black
3039 96925 male 27 170.4 108.1 Other Hispanic
3040 96926 male 59 185.6 77.2 NH White
3041 96927 male 70 176.4 100.8 NH White
3042 96928 male 71 159.0 59.9 NH Black
3043 96929 female 7 123.4 19.9 Other/Mixed
3044 96930 male 70 173.2 68.3 NH White
3045 96931 female 10 135.9 26.3 NH Asian
3046 96932 male 1 NA 13.1 Other/Mixed
3047 96933 male 59 167.8 65.2 NH White
3048 96934 female 55 160.6 39.9 NH Black
3049 96935 male 41 165.1 105.5 NH White
3050 96936 female 7 130.4 41.8 Mexican
3051 96937 male 13 167.7 62.2 NH Asian
3052 96938 female 65 156.6 65.8 Mexican
3053 96939 female 32 158.0 75.9 NH White
3054 96940 female 59 159.2 56.1 NH White
3055 96941 female 39 155.4 89.6 NH Black
3056 96942 male 15 158.5 67.6 NH Black
3057 96943 male 9 125.7 25.2 Other/Mixed
3058 96944 female 70 160.2 71.7 Mexican
3059 96945 male 18 173.9 121.4 NH White
3060 96946 male 77 159.6 76.5 Mexican
3061 96948 male 33 176.8 176.5 NH Black
3062 96949 female 0 NA 10.5 NH White
3063 96950 female 6 124.1 45.2 Mexican
3064 96951 female 36 165.1 92.0 NH White
3065 96952 female 63 153.5 53.2 NH White
3066 96953 female 60 173.3 97.1 NH White
3067 96954 male 55 160.3 76.7 Mexican
3068 96955 male 64 169.7 79.9 NH Asian
3069 96956 male 70 173.2 83.7 NH White
3070 96957 male 9 130.2 26.0 Mexican
3071 96958 female 24 163.5 104.5 NH Black
3072 96959 male 33 174.0 75.4 NH Asian
3073 96960 female 47 169.7 126.4 NH Black
3074 96961 male 15 173.8 57.9 NH Black
3075 96962 female 71 156.8 62.8 NH Asian
3076 96963 female 6 124.0 27.0 Other/Mixed
3077 96964 female 65 167.9 77.0 NH Black
3078 96965 male 52 164.5 82.8 Other Hispanic
3079 96966 female 25 160.8 67.9 NH White
3080 96967 female 21 157.7 48.1 NH Asian
3081 96968 male 13 167.4 93.2 Mexican
3082 96969 male 38 164.9 73.1 Mexican
3083 96970 female 49 153.2 51.1 NH Asian
3084 96971 male 16 171.0 77.3 NH White
3085 96972 female 62 168.7 68.1 NH Black
3086 96974 male 2 92.6 13.6 NH White
3087 96975 female 30 154.5 58.9 NH Black
3088 96976 male 63 172.2 74.6 NH White
3089 96977 female 7 117.1 19.7 Other/Mixed
3090 96978 male 60 180.5 83.9 NH Black
3091 96979 female 34 157.1 82.8 Other Hispanic
3092 96980 male 15 171.0 82.5 NH White
3093 96981 male 13 178.4 88.4 Other/Mixed
3094 96983 male 80 166.4 88.0 NH White
3095 96984 female 38 170.1 101.3 NH Black
3096 96985 female 80 153.4 79.1 NH White
3097 96986 male 0 NA 10.8 NH White
3098 96988 male 3 98.9 18.4 NH Asian
3099 96989 female 64 159.9 86.6 NH Black
3100 96990 male 30 175.5 92.6 Other Hispanic
3101 96991 female 4 105.2 18.3 NH Asian
3102 96992 male 28 161.5 73.0 NH Black
3103 96993 male 52 182.6 149.8 NH White
3104 96994 male 61 177.6 146.8 Other Hispanic
3105 96995 female 6 114.0 23.4 NH Black
3106 96996 female 38 161.3 79.0 Other Hispanic
3107 96997 male 9 136.4 34.3 NH White
3108 96998 female 68 157.7 106.3 Other/Mixed
3109 96999 female 2 90.2 13.0 Other Hispanic
3110 97000 male 33 181.5 84.7 NH Asian
3111 97001 male 11 141.0 52.8 Other Hispanic
3112 97002 female 4 104.3 17.2 Other/Mixed
3113 97003 male 20 181.6 66.1 NH White
3114 97004 female 16 155.9 46.7 Mexican
3115 97005 male 0 NA 8.2 NH White
3116 97006 male 5 106.0 15.8 Mexican
3117 97007 male 6 125.4 24.4 Mexican
3118 97008 male 13 160.3 80.3 Mexican
3119 97009 male 30 167.9 67.5 NH Black
3120 97011 female 26 157.7 71.1 NH White
3121 97012 female 14 164.4 48.2 NH Black
3122 97013 male 50 162.6 86.8 Mexican
3123 97014 female 4 108.0 18.1 NH Black
3124 97015 female 72 156.8 93.3 NH Black
3125 97016 female 4 103.1 14.9 Mexican
3126 97017 female 66 155.6 73.2 NH White
3127 97018 male 27 165.6 63.3 NH Black
3128 97019 male 44 164.5 70.3 Other Hispanic
3129 97020 male 12 NA NA NH Black
3130 97021 male 27 184.4 91.1 NH White
3131 97022 male 46 158.8 66.2 Other Hispanic
3132 97023 female 80 155.7 46.9 Mexican
3133 97024 female 55 171.4 68.2 NH White
3134 97025 female 36 161.6 67.5 Mexican
3135 97026 female 80 155.1 63.6 NH White
3136 97027 female 26 154.4 59.7 NH Asian
3137 97028 male 17 182.2 124.0 NH White
3138 97029 male 55 168.7 73.4 NH Asian
3139 97030 female 57 160.6 84.8 Other Hispanic
3140 97031 male 70 169.6 86.7 NH Black
3141 97032 male 50 182.3 88.0 NH White
3142 97033 male 12 153.0 97.8 Mexican
3143 97034 female 31 162.0 57.1 NH White
3144 97035 female 36 164.1 82.7 NH Black
3145 97036 female 28 177.1 71.4 NH Black
3146 97037 male 32 177.6 79.6 NH Asian
3147 97038 female 53 163.8 46.4 NH White
3148 97039 male 76 166.2 76.3 NH Asian
3149 97040 female 58 157.0 69.3 NH Black
3150 97041 female 26 160.9 84.7 NH Black
3151 97042 female 33 170.2 65.5 NH White
3152 97043 female 17 160.9 56.9 Other/Mixed
3153 97044 female 30 155.0 39.6 NH Asian
3154 97045 male 8 127.8 29.4 NH White
3155 97046 male 61 189.1 106.8 NH Black
3156 97047 male 9 130.6 24.9 NH White
3157 97048 female 34 159.0 85.1 NH Black
3158 97049 male 52 176.9 83.9 NH Asian
3159 97050 male 13 162.0 57.6 NH White
3160 97051 male 68 164.4 55.1 NH Asian
3161 97052 male 7 126.1 24.4 NH White
3162 97053 female 4 102.7 18.2 Mexican
3163 97054 male 40 180.5 93.0 NH White
3164 97055 male 53 175.1 103.1 Mexican
3165 97056 female 72 162.5 84.6 Other/Mixed
3166 97057 female 26 160.2 57.2 NH Asian
3167 97058 female 80 150.7 102.7 NH White
3168 97059 male 44 184.8 123.8 NH Black
3169 97060 male 20 170.2 85.3 NH Black
3170 97061 male 1 NA 12.6 NH Black
3171 97062 male 4 108.7 18.3 NH Black
3172 97063 male 51 171.3 53.4 NH Black
3173 97064 male 24 165.1 87.5 Mexican
3174 97065 male 42 186.8 115.2 NH Black
3175 97066 male 0 NA 6.8 Mexican
3176 97067 male 59 168.1 69.8 NH Asian
3177 97068 female 2 94.3 14.1 NH Black
3178 97069 female 14 158.0 79.5 NH Black
3179 97070 male 16 168.7 83.9 NH Black
3180 97071 female 31 153.0 81.5 NH Black
3181 97072 male 2 84.3 11.6 NH Black
3182 97074 female 0 NA 5.1 NH Black
3183 97075 female 18 162.4 96.3 NH Black
3184 97076 male 19 184.3 123.5 NH White
3185 97077 female 52 163.9 131.6 NH Black
3186 97078 female 28 167.1 53.4 NH Black
3187 97079 female 5 125.4 24.9 NH White
3188 97080 female 80 150.9 46.9 NH White
3189 97082 female 0 NA 7.5 NH White
3190 97083 male 0 NA 8.6 Other Hispanic
3191 97085 female 0 NA 7.1 NH Black
3192 97086 female 0 NA 7.0 Mexican
3193 97087 female 7 132.2 40.2 NH Black
3194 97088 male 60 184.4 90.8 NH White
3195 97090 male 10 149.8 54.7 NH White
3196 97091 female 9 139.0 29.0 NH White
3197 97092 female 31 157.3 131.7 NH Black
3198 97093 female 35 174.8 111.0 NH Black
3199 97094 female 30 154.6 55.4 NH Asian
3200 97095 female 44 161.3 76.0 Other/Mixed
3201 97096 female 69 160.6 82.4 NH White
3202 97097 male 53 167.7 118.9 Mexican
3203 97098 male 19 172.9 64.3 Other Hispanic
3204 97099 female 77 155.1 77.9 NH White
3205 97100 female 22 171.0 115.8 NH White
3206 97101 female 2 88.7 12.7 NH Asian
3207 97102 female 70 157.1 49.6 Other Hispanic
3208 97103 female 31 171.9 119.6 Other Hispanic
3209 97104 male 38 169.5 93.3 Mexican
3210 97105 male 56 182.7 96.1 Other/Mixed
3211 97106 female 20 160.3 48.4 NH White
3212 97107 male 49 183.9 107.8 Other/Mixed
3213 97108 male 51 164.9 83.6 NH Asian
3214 97109 female 74 162.1 96.7 NH White
3215 97110 male 10 132.7 27.4 NH Asian
3216 97111 male 43 182.2 92.6 NH Asian
3217 97112 male 16 160.2 56.1 NH White
3218 97113 female 2 93.2 13.2 NH White
3219 97114 female 17 175.7 56.9 NH Asian
3220 97115 male 65 168.0 84.6 Mexican
3221 97116 female 23 159.2 76.9 Mexican
3222 97117 female 63 151.1 56.0 Mexican
3223 97118 male 72 172.8 108.8 NH White
3224 97119 female 3 97.8 14.3 NH Black
3225 97120 female 80 149.5 67.8 NH White
3226 97121 female 44 170.5 101.8 Other/Mixed
3227 97122 female 29 167.8 110.2 NH Black
3228 97123 female 45 161.4 55.8 NH Asian
3229 97124 female 62 159.9 70.2 NH White
3230 97125 male 57 182.0 110.5 NH Black
3231 97126 male 3 90.4 13.5 NH White
3232 97127 male 19 178.0 91.6 Mexican
3233 97128 female 29 149.6 84.9 Mexican
3234 97129 female 40 165.5 61.4 NH Asian
3235 97130 male 19 175.5 80.2 NH Asian
3236 97131 female 53 167.0 79.7 NH Black
3237 97133 female 65 156.9 63.6 NH Asian
3238 97134 female 0 NA 8.0 Mexican
3239 97135 male 14 176.2 65.5 NH White
3240 97136 male 0 NA 9.0 Mexican
3241 97137 female 39 160.5 57.5 NH Black
3242 97138 female 47 172.5 67.7 NH White
3243 97139 male 29 167.3 64.9 Mexican
3244 97140 female 43 165.2 80.7 Mexican
3245 97142 female 44 156.4 79.6 Mexican
3246 97143 male 61 166.3 95.1 Mexican
3247 97144 male 18 184.0 75.1 NH White
3248 97145 female 46 157.3 162.9 NH White
3249 97146 female 19 154.2 50.3 Other/Mixed
3250 97147 female 37 152.2 54.5 Other Hispanic
3251 97148 female 4 104.3 20.0 Other/Mixed
3252 97149 female 66 155.7 53.5 Other Hispanic
3253 97150 male 58 173.4 84.1 NH Black
3254 97151 female 6 120.6 20.8 NH Asian
3255 97152 female 45 163.7 77.9 NH White
3256 97153 male 30 171.9 102.6 NH White
3257 97154 male 3 96.2 16.2 NH Black
3258 97155 male 52 180.6 112.2 NH White
3259 97156 female 45 158.6 84.7 NH Asian
3260 97157 male 23 176.2 64.4 Mexican
3261 97158 male 1 NA 9.6 Mexican
3262 97159 female 6 121.0 21.2 NH Black
3263 97160 female 16 163.6 48.9 NH White
3264 97161 male 60 NA NA Other/Mixed
3265 97163 male 55 155.5 58.8 NH Asian
3266 97164 male 62 178.0 47.9 NH White
3267 97165 female 66 168.8 105.9 NH Black
3268 97166 female 40 156.6 68.6 Mexican
3269 97167 female 13 157.2 49.9 NH White
3270 97168 male 54 167.2 63.7 NH White
3271 97169 female 67 163.1 87.9 NH Black
3272 97170 male 10 133.6 35.2 Other Hispanic
3273 97171 female 74 155.2 57.3 Mexican
3274 97172 female 6 122.9 27.3 NH Black
3275 97173 female 18 166.5 64.6 NH White
3276 97174 female 26 150.7 49.8 Other/Mixed
3277 97175 male 7 117.8 20.9 NH White
3278 97176 female 58 152.3 86.0 Other Hispanic
3279 97177 male 41 164.3 108.3 Mexican
3280 97178 female 55 149.9 87.3 NH Black
3281 97179 female 13 NA NA Other Hispanic
3282 97180 female 80 156.9 68.7 NH White
3283 97181 male 65 159.1 73.0 Other Hispanic
3284 97182 male 19 176.0 66.5 Other/Mixed
3285 97183 female 27 163.0 66.8 Other Hispanic
3286 97184 female 19 166.3 79.2 NH White
3287 97185 female 9 146.4 46.7 Mexican
3288 97186 male 46 182.1 116.9 NH Asian
3289 97187 male 14 157.2 71.7 Other/Mixed
3290 97188 female 80 NA NA NH White
3291 97189 male 71 177.7 117.3 NH Black
3292 97190 female 0 NA 7.5 NH White
3293 97191 female 44 157.0 80.8 Mexican
3294 97192 female 67 153.9 71.6 Other Hispanic
3295 97193 male 28 181.3 107.5 Mexican
3296 97194 male 69 162.9 67.0 NH Asian
3297 97195 male 0 NA 8.2 Other Hispanic
3298 97196 female 1 NA 13.0 Other/Mixed
3299 97197 female 61 154.7 83.6 NH Black
3300 97198 female 73 157.4 65.3 NH White
3301 97199 male 15 171.2 84.5 Other/Mixed
3302 97200 male 56 179.0 71.1 NH Black
3303 97201 male 60 175.0 65.1 NH Black
3304 97202 male 6 116.9 19.9 NH White
3305 97203 male 0 NA 9.4 Other Hispanic
3306 97204 female 80 155.7 68.5 NH White
3307 97205 female 1 NA 10.9 NH Black
3308 97206 male 69 183.4 92.0 NH White
3309 97207 female 2 NA 14.8 Mexican
3310 97208 male 30 182.4 79.6 Other/Mixed
3311 97209 female 71 162.3 74.6 NH White
3312 97210 male 47 176.7 93.2 Mexican
3313 97211 female 54 NA NA Mexican
3314 97212 male 13 170.3 96.6 NH White
3315 97213 female 7 120.0 20.7 Other Hispanic
3316 97214 male 0 NA 7.1 NH White
3317 97215 female 71 151.8 57.1 Other Hispanic
3318 97216 female 69 150.7 119.4 NH Asian
3319 97217 female 29 161.7 60.0 NH Black
3320 97218 male 15 172.3 54.8 NH White
3321 97219 male 10 142.4 44.1 Mexican
3322 97220 male 11 140.9 41.7 NH Black
3323 97221 male 78 170.4 66.6 Mexican
3324 97222 female 53 156.3 128.1 NH Black
3325 97223 male 26 181.7 83.0 NH Black
3326 97224 female 72 155.4 59.7 NH White
3327 97225 female 80 157.3 102.8 NH White
3328 97226 female 1 NA 16.0 Other/Mixed
3329 97227 female 4 99.4 17.2 NH Asian
3330 97228 male 49 182.3 98.8 NH White
3331 97229 female 80 157.9 64.5 NH White
3332 97230 male 10 140.1 42.8 Mexican
3333 97231 female 27 155.5 75.0 NH Asian
3334 97232 male 16 178.8 73.8 NH White
3335 97233 male 69 157.5 63.4 NH Asian
3336 97234 female 32 161.1 90.8 Other/Mixed
3337 97235 female 35 168.1 83.0 NH White
3338 97236 male 45 171.2 73.8 NH Asian
3339 97237 female 80 159.1 74.8 NH White
3340 97238 female 8 125.7 28.3 NH White
3341 97239 female 13 170.2 58.4 NH Black
3342 97240 female 17 171.7 59.5 NH Black
3343 97241 male 16 163.3 53.0 NH White
3344 97242 male 75 173.9 86.3 NH White
3345 97243 female 9 138.3 31.2 NH Black
3346 97244 female 13 165.7 62.7 NH White
3347 97245 male 39 177.6 81.0 NH White
3348 97246 female 6 120.7 24.4 NH Black
3349 97247 male 45 179.1 87.3 Mexican
3350 97248 female 68 148.7 57.0 Other Hispanic
3351 97249 female 20 162.4 84.5 NH Black
3352 97250 male 32 189.0 82.7 NH White
3353 97251 male 41 171.6 83.0 NH Black
3354 97252 female 69 155.3 83.7 NH White
3355 97253 female 57 162.8 83.8 NH Black
3356 97254 male 1 NA 12.1 Mexican
3357 97255 male 29 170.9 73.3 NH Black
3358 97256 male 57 173.2 65.1 NH White
3359 97257 female 26 152.4 95.2 Mexican
3360 97258 female 13 155.5 47.8 Other/Mixed
3361 97259 male 57 161.4 63.9 NH Black
3362 97260 female 45 153.1 71.6 Other Hispanic
3363 97261 male 19 184.1 87.2 NH White
3364 97262 female 16 165.8 56.0 Mexican
3365 97263 female 41 164.0 55.3 NH Asian
3366 97264 female 67 153.5 88.2 Mexican
3367 97265 male 8 133.4 30.2 NH Black
3368 97266 male 43 180.2 86.6 Other/Mixed
3369 97267 male 6 117.1 20.3 Mexican
3370 97268 male 80 151.9 63.7 NH White
3371 97270 female 36 156.3 72.1 NH Black
3372 97271 female 7 140.7 41.9 NH Black
3373 97272 female 80 165.9 75.5 NH Black
3374 97274 male 80 171.3 81.8 Other/Mixed
3375 97275 female 39 172.6 62.2 NH Black
3376 97276 female 0 NA 10.0 Mexican
3377 97277 male 47 166.0 99.0 Mexican
3378 97278 female 27 153.1 74.8 NH Black
3379 97279 female 17 170.0 53.0 NH White
3380 97280 male 48 167.9 88.2 Mexican
3381 97281 female 11 165.1 57.8 Mexican
3382 97282 female 65 156.1 71.1 NH Black
3383 97284 female 52 166.7 77.1 NH White
3384 97285 male 19 NA NA Other Hispanic
3385 97286 male 2 89.9 13.8 NH White
3386 97287 female 17 163.0 65.1 Other/Mixed
3387 97288 female 3 91.2 13.6 Other Hispanic
3388 97289 female 48 161.7 75.0 NH White
3389 97290 male 11 149.4 49.1 NH Asian
3390 97291 female 11 142.7 30.7 Mexican
3391 97292 male 15 173.8 57.5 NH Black
3392 97293 female 27 153.0 66.2 Mexican
3393 97294 male 0 NA 10.0 NH White
3394 97295 female 2 92.6 13.0 Mexican
3395 97296 male 2 85.7 12.4 NH White
3396 97297 female 62 151.5 79.9 Mexican
3397 97298 female 14 157.8 66.1 Mexican
3398 97299 male 59 183.1 93.3 NH White
3399 97300 male 0 NA 4.9 Mexican
3400 97301 male 64 174.3 87.4 NH Black
3401 97302 male 12 140.0 41.8 NH White
3402 97303 female 8 126.5 27.5 NH Asian
3403 97304 female 26 161.1 95.6 Mexican
3404 97305 male 64 176.1 90.4 NH White
3405 97306 female 20 161.8 85.3 Mexican
3406 97307 male 63 172.0 124.0 NH White
3407 97308 female 51 169.5 94.6 NH White
3408 97309 female 2 90.5 14.7 Mexican
3409 97310 female 2 95.5 17.0 NH Black
3410 97311 male 1 NA 12.8 NH Black
3411 97312 female 5 109.7 17.2 NH Black
3412 97313 female 18 166.9 57.1 NH White
3413 97314 female 29 151.5 74.8 Other/Mixed
3414 97315 male 13 165.1 52.9 Other Hispanic
3415 97316 male 27 163.2 95.7 Mexican
3416 97317 female 0 NA 8.4 Mexican
3417 97318 female 0 NA 8.7 Mexican
3418 97319 male 32 173.2 99.2 NH White
3419 97320 male 65 178.1 56.0 NH Black
3420 97321 male 37 164.1 68.6 NH Asian
3421 97322 female 32 174.7 110.6 NH Black
3422 97323 female 67 149.3 54.1 NH Asian
3423 97324 female 19 159.7 42.3 NH White
3424 97325 female 27 157.9 60.8 Mexican
3425 97326 male 64 177.2 79.6 NH Asian
3426 97327 male 76 169.7 81.5 NH Black
3427 97328 female 9 146.3 47.9 NH Black
3428 97329 female 17 164.1 52.2 NH White
3429 97330 male 72 177.8 129.3 NH White
3430 97331 female 3 98.2 13.3 NH Asian
3431 97332 female 80 156.2 58.4 NH White
3432 97333 female 48 163.1 55.0 NH Asian
3433 97334 female 72 156.3 56.3 NH White
3434 97335 female 12 158.9 62.0 Other/Mixed
3435 97336 female 58 152.7 43.0 NH Asian
3436 97337 male 71 165.0 83.6 NH Black
3437 97338 female 37 170.7 98.1 Other/Mixed
3438 97339 male 80 174.4 78.5 NH White
3439 97340 female 9 143.2 33.3 NH Black
3440 97341 male 9 134.6 37.0 NH White
3441 97343 female 57 160.6 73.0 NH White
3442 97344 male 11 146.5 33.2 NH Black
3443 97345 male 18 163.8 62.0 NH Asian
3444 97346 female 4 105.1 16.8 NH Asian
3445 97347 male 0 NA 10.0 NH White
3446 97348 female 68 156.2 62.6 NH Asian
3447 97349 female 31 155.7 71.5 NH Asian
3448 97350 female 10 134.9 31.3 NH Black
3449 97351 female 12 156.6 66.5 NH White
3450 97352 male 45 164.6 61.6 NH White
3451 97353 male 80 170.7 61.8 NH White
3452 97354 female 31 163.8 105.0 Other Hispanic
3453 97355 female 0 NA 4.4 NH White
3454 97356 female 29 151.1 81.5 Mexican
3455 97357 male 62 165.3 118.3 NH Black
3456 97358 female 16 163.0 82.5 NH White
3457 97359 female 17 166.5 42.3 NH White
3458 97360 male 63 172.1 120.9 NH Black
3459 97361 male 54 187.9 111.1 Other/Mixed
3460 97362 male 22 183.9 82.9 NH White
3461 97363 male 4 106.4 19.2 NH White
3462 97364 female 33 164.3 58.1 NH Asian
3463 97365 female 49 154.0 52.4 NH White
3464 97366 male 11 150.6 59.5 NH White
3465 97367 female 61 168.4 90.1 NH White
3466 97368 female 9 146.0 34.0 NH White
3467 97370 female 62 154.1 82.6 Other Hispanic
3468 97371 female 57 162.0 74.1 NH White
3469 97372 female 17 165.9 85.9 Mexican
3470 97373 female 41 159.3 86.7 NH White
3471 97374 male 65 169.5 124.3 NH White
3472 97375 male 71 177.4 117.3 Other/Mixed
3473 97377 female 15 165.5 59.1 NH White
3474 97378 female 19 168.9 109.7 NH Black
3475 97379 male 38 166.9 74.4 Other Hispanic
3476 97380 male 22 NA NA NH Asian
3477 97381 male 69 174.4 121.7 NH Black
3478 97382 male 36 177.8 84.5 NH Asian
3479 97383 male 54 167.6 73.6 NH White
3480 97384 male 31 185.5 91.3 Mexican
3481 97385 female 12 148.2 51.8 Mexican
3482 97386 male 60 182.1 137.7 Other/Mixed
3483 97387 male 13 136.7 40.2 NH White
3484 97388 female 66 158.9 98.8 NH Black
3485 97389 male 80 181.7 80.0 NH Black
3486 97390 male 76 172.5 106.5 NH White
3487 97391 male 67 154.6 70.5 Mexican
3488 97392 female 19 162.7 83.7 NH Black
3489 97393 male 3 104.0 18.8 NH Black
3490 97394 male 15 182.6 60.1 NH Asian
3491 97395 male 16 176.2 63.7 NH White
3492 97396 male 47 166.4 67.1 NH Black
3493 97397 female 80 171.5 67.5 NH White
3494 97398 male 69 167.5 75.6 NH Asian
3495 97399 female 6 112.9 25.0 Other Hispanic
3496 97400 male 19 159.5 60.0 NH White
3497 97401 male 10 148.6 41.9 NH White
3498 97402 female 23 160.7 50.7 NH Asian
3499 97403 male 80 170.2 73.6 NH Asian
3500 97404 female 9 134.1 41.9 NH White
3501 97405 female 4 102.5 17.1 NH White
3502 97406 female 7 124.4 23.9 NH White
3503 97407 male 55 162.0 107.2 NH Black
3504 97408 male 67 171.6 103.8 NH White
3505 97409 male 32 173.1 81.5 NH Asian
3506 97410 female 46 151.8 46.0 Mexican
3507 97411 female 15 154.4 67.7 Mexican
3508 97412 male 73 175.8 92.8 NH White
3509 97413 male 9 140.3 36.7 Mexican
3510 97414 male 3 109.4 20.5 NH White
3511 97415 male 54 162.6 68.1 NH Asian
3512 97416 male 9 131.7 28.7 Mexican
3513 97417 female 77 157.4 57.8 NH Asian
3514 97418 female 47 157.0 75.1 NH White
3515 97419 female 55 155.3 54.3 NH Asian
3516 97420 male 51 178.3 86.6 Other Hispanic
3517 97421 female 6 115.5 18.1 Mexican
3518 97422 male 80 160.3 55.0 NH White
3519 97423 female 32 157.9 97.9 Other Hispanic
3520 97424 female 38 161.9 99.8 NH White
3521 97425 male 19 173.3 58.7 NH White
3522 97426 male 4 100.6 16.9 NH White
3523 97427 male 9 138.1 30.6 NH Black
3524 97428 male 77 166.2 88.9 NH White
3525 97429 male 51 172.4 74.1 NH White
3526 97430 male 32 174.5 101.6 Mexican
3527 97431 female 11 157.2 41.9 NH Asian
3528 97432 male 19 185.3 74.5 NH Black
3529 97433 female 4 103.8 20.9 NH White
3530 97434 female 0 NA 8.2 NH Black
3531 97435 male 4 109.8 17.3 NH Black
3532 97436 male 45 173.6 81.4 NH Asian
3533 97437 male 48 165.8 72.8 NH Asian
3534 97438 male 11 143.2 34.5 NH White
3535 97439 male 3 100.4 14.0 NH Black
3536 97440 female 7 131.7 27.8 NH White
3537 97441 male 61 181.4 78.3 NH Black
3538 97442 female 6 122.9 21.2 NH White
3539 97443 female 56 166.8 82.6 NH White
3540 97444 male 58 166.5 60.7 Mexican
3541 97445 male 51 178.6 96.9 NH Black
3542 97446 male 52 164.3 70.5 Mexican
3543 97448 male 15 152.1 42.9 Mexican
3544 97449 female 37 162.7 93.0 Other/Mixed
3545 97450 female 27 165.1 119.0 NH Black
3546 97451 female 34 161.2 73.9 Other Hispanic
3547 97452 female 47 155.0 71.2 NH Asian
3548 97454 male 9 132.1 39.4 NH Black
3549 97455 female 80 154.9 84.7 NH White
3550 97456 female 38 169.7 76.3 NH Black
3551 97457 female 4 104.7 16.2 NH Asian
3552 97458 female 35 171.1 101.7 NH White
3553 97459 male 1 NA 10.2 NH White
3554 97460 female 61 164.8 60.0 NH Black
3555 97461 female 5 117.7 22.7 NH Black
3556 97462 male 50 167.7 84.2 Other Hispanic
3557 97463 female 34 161.5 45.7 NH Asian
3558 97464 male 55 175.1 122.1 NH White
3559 97465 male 38 183.2 94.4 Mexican
3560 97466 female 4 106.5 17.0 Mexican
3561 97467 female 9 144.8 32.8 Mexican
3562 97468 male 46 175.0 69.6 NH White
3563 97469 female 28 156.3 62.0 NH Black
3564 97470 female 8 131.0 23.7 NH Black
3565 97471 female 80 154.5 67.0 NH White
3566 97472 male 57 170.1 62.7 NH Asian
3567 97473 male 53 166.0 58.1 NH Asian
3568 97474 male 20 171.4 98.3 NH White
3569 97475 male 11 154.4 38.5 Mexican
3570 97476 female 0 NA 9.4 Mexican
3571 97477 female 11 147.2 36.7 Mexican
3572 97478 female 47 159.6 76.1 Mexican
3573 97479 female 2 87.6 13.5 Mexican
3574 97480 female 0 NA 6.0 Other/Mixed
3575 97481 male 80 160.0 78.7 Mexican
3576 97482 female 70 160.7 130.0 NH White
3577 97483 male 19 179.0 112.0 NH White
3578 97484 male 56 183.0 96.8 NH Black
3579 97485 female 33 168.2 66.5 NH White
3580 97486 female 69 156.4 94.1 NH Black
3581 97487 female 53 145.3 59.7 NH Asian
3582 97488 female 80 163.0 119.6 NH White
3583 97489 female 2 89.3 11.2 NH White
3584 97490 male 17 167.4 66.9 NH White
3585 97491 female 4 99.7 16.1 Other Hispanic
3586 97492 male 45 179.3 70.2 NH White
3587 97493 female 2 87.8 11.5 Other/Mixed
3588 97494 female 9 130.7 25.7 Other/Mixed
3589 97495 female 43 162.2 168.9 NH Black
3590 97496 female 11 146.8 66.4 NH White
3591 97497 male 24 178.2 84.6 NH Black
3592 97498 female 11 155.8 57.5 Mexican
3593 97499 female 4 111.2 19.7 NH Black
3594 97500 female 74 154.5 144.7 NH Black
3595 97501 female 54 163.8 95.6 Other Hispanic
3596 97503 male 9 143.4 40.9 NH White
3597 97504 male 10 144.7 34.0 NH White
3598 97505 male 73 153.8 60.9 NH White
3599 97506 male 69 170.9 81.2 Other/Mixed
3600 97507 female 20 154.9 51.9 Other Hispanic
3601 97509 female 47 160.7 101.0 NH White
3602 97510 female 61 166.1 98.7 NH Black
3603 97511 male 4 113.4 23.6 NH Black
3604 97512 male 80 172.4 69.4 NH White
3605 97513 male 54 181.8 117.8 NH Black
3606 97514 female 7 114.9 19.8 NH White
3607 97516 female 62 160.1 80.3 Other Hispanic
3608 97517 male 16 179.0 63.4 NH White
3609 97518 male 80 169.2 73.8 NH White
3610 97520 female 57 163.2 123.4 NH Black
3611 97521 male 53 178.4 151.1 Mexican
3612 97522 female 20 161.6 57.1 Mexican
3613 97523 male 80 160.6 73.0 NH White
3614 97524 female 44 173.8 61.1 NH White
3615 97525 female 11 159.5 46.1 NH Black
3616 97526 female 33 157.0 71.7 NH White
3617 97527 male 63 182.7 106.5 NH Black
3618 97529 female 5 113.1 19.6 Mexican
3619 97530 female 11 153.6 40.3 NH White
3620 97531 female 23 166.1 86.2 Other Hispanic
3621 97532 male 28 176.4 68.6 NH Black
3622 97533 male 30 176.8 73.3 NH Asian
3623 97534 male 0 NA 9.1 NH Black
3624 97535 female 63 156.7 72.6 Other Hispanic
3625 97536 male 80 165.2 71.0 NH White
3626 97537 female 39 169.2 103.6 Other Hispanic
3627 97538 female 54 154.1 79.7 Other Hispanic
3628 97539 male 41 180.1 118.3 NH White
3629 97540 female 2 93.9 15.8 Other Hispanic
3630 97541 male 38 NA NA NH Black
3631 97542 female 7 128.4 27.9 Mexican
3632 97543 male 0 NA 8.0 NH White
3633 97544 male 19 174.7 94.9 NH Black
3634 97545 female 12 150.3 82.4 NH White
3635 97546 male 5 111.4 21.5 NH White
3636 97547 female 11 163.4 62.4 NH Black
3637 97548 female 50 151.9 56.3 Other/Mixed
3638 97549 female 13 161.4 70.0 NH Black
3639 97550 female 47 163.5 63.1 NH White
3640 97551 female 13 162.1 54.6 Other/Mixed
3641 97553 female 0 NA 10.2 NH Black
3642 97554 male 49 175.0 77.9 NH White
3643 97555 female 48 160.3 76.5 Mexican
3644 97556 male 1 NA 12.6 NH White
3645 97557 female 64 156.9 77.2 NH White
3646 97558 female 56 161.8 65.0 NH White
3647 97559 male 0 NA 10.3 NH Black
3648 97560 male 55 173.0 79.3 Mexican
3649 97561 male 46 176.4 100.7 NH Black
3650 97562 male 8 131.1 24.2 NH White
3651 97563 female 61 146.8 56.0 Mexican
3652 97564 male 15 180.2 105.6 NH White
3653 97565 male 0 NA 9.4 NH White
3654 97566 male 0 NA 5.0 Other Hispanic
3655 97567 female 1 NA 10.1 Other/Mixed
3656 97568 male 41 167.8 90.2 Other Hispanic
3657 97569 male 42 182.8 98.2 NH Black
3658 97570 female 50 165.9 84.1 NH Asian
3659 97571 male 54 175.8 57.0 NH White
3660 97572 male 50 180.6 95.0 NH White
3661 97573 female 62 158.8 61.8 NH Asian
3662 97574 female 44 153.7 53.8 NH Asian
3663 97575 female 24 169.6 53.8 NH White
3664 97576 male 32 168.0 103.0 Mexican
3665 97577 female 56 147.3 65.2 NH White
3666 97578 male 41 157.8 62.9 Mexican
3667 97579 female 2 84.7 10.5 NH White
3668 97580 male 26 167.1 71.6 Mexican
3669 97582 male 63 175.3 85.7 Mexican
3670 97583 female 9 128.6 22.1 Mexican
3671 97584 female 15 167.3 102.3 NH Black
3672 97585 male 21 168.4 75.4 NH White
3673 97586 female 8 137.4 34.5 NH White
3674 97587 female 8 135.8 37.3 Mexican
3675 97588 male 56 174.7 73.5 NH Asian
3676 97589 female 19 153.0 57.4 Other Hispanic
3677 97591 male 29 166.3 67.3 NH White
3678 97592 male 63 175.4 76.5 NH Asian
3679 97593 female 60 166.7 120.2 NH Black
3680 97594 female 56 157.5 48.8 NH Asian
3681 97595 male 36 179.1 57.9 Other/Mixed
3682 97597 female 77 163.4 69.9 NH Black
3683 97598 female 40 158.0 84.0 Mexican
3684 97599 male 1 NA 11.0 NH Black
3685 97600 female 23 156.3 62.8 NH Asian
3686 97601 female 22 161.8 97.2 Other Hispanic
3687 97602 female 40 173.8 92.3 NH Black
3688 97604 male 2 90.2 12.8 NH Asian
3689 97605 female 67 162.8 65.6 NH White
3690 97606 female 80 152.3 57.3 NH Black
3691 97607 male 16 159.6 60.1 Mexican
3692 97608 male 79 172.2 71.7 NH Asian
3693 97609 male 66 166.9 69.9 Other/Mixed
3694 97610 male 28 176.5 77.9 Other Hispanic
3695 97611 male 68 181.2 81.7 Other/Mixed
3696 97612 male 0 NA 4.2 NH White
3697 97613 female 7 115.7 27.6 Mexican
3698 97614 female 3 100.9 17.1 NH Black
3699 97616 female 2 88.2 12.4 NH White
3700 97617 male 30 176.0 56.8 NH Black
3701 97618 male 64 178.1 94.9 Mexican
3702 97619 male 65 171.7 89.7 NH White
3703 97620 female 41 158.6 115.2 Other/Mixed
3704 97621 female 19 163.6 54.7 NH Black
3705 97622 male 8 144.7 52.1 Mexican
3706 97623 female 71 157.9 76.6 NH Asian
3707 97624 female 32 146.8 43.6 NH Asian
3708 97625 male 13 165.0 87.3 NH White
3709 97626 female 73 149.7 67.4 NH White
3710 97627 female 34 175.9 161.4 NH White
3711 97628 male 0 NA 9.1 NH White
3712 97629 female 33 163.5 59.7 NH White
3713 97630 female 78 166.6 80.9 NH White
3714 97631 female 18 165.6 100.0 NH Black
3715 97632 male 11 152.7 79.3 NH Black
3716 97634 male 0 NA 4.8 Mexican
3717 97635 female 56 151.6 67.8 Other Hispanic
3718 97636 female 0 NA 4.6 NH White
3719 97637 female 1 NA 9.5 NH Black
3720 97638 male 51 176.5 81.1 NH Black
3721 97639 male 60 NA NA NH White
3722 97640 male 41 168.4 95.7 Mexican
3723 97641 female 49 161.9 64.2 NH White
3724 97642 male 74 167.0 97.3 NH White
3725 97643 female 40 164.1 104.9 NH White
3726 97644 male 24 174.0 128.1 Other Hispanic
3727 97645 male 1 NA 13.4 Other Hispanic
3728 97646 female 9 137.0 29.1 Mexican
3729 97647 female 14 148.9 49.5 NH Asian
3730 97648 female 32 164.8 126.3 NH White
3731 97650 female 69 157.0 75.0 NH Black
3732 97651 female 15 144.6 67.3 Other Hispanic
3733 97652 male 17 171.2 61.9 NH White
3734 97653 female 2 NA 13.1 NH White
3735 97654 female 2 97.3 17.0 NH Asian
3736 97655 male 0 NA 8.7 NH White
3737 97656 male 60 188.0 130.6 NH Asian
3738 97657 female 60 162.1 54.1 NH White
3739 97658 female 5 116.9 25.6 NH White
3740 97659 male 46 161.1 72.3 Other Hispanic
3741 97660 female 5 116.4 25.3 NH White
3742 97661 female 38 NA 94.0 NH Black
3743 97662 male 73 163.1 69.3 NH White
3744 97663 male 2 87.0 14.9 Mexican
3745 97665 female 2 92.8 14.3 NH White
3746 97666 male 69 166.9 91.5 NH Black
3747 97667 female 62 158.6 110.2 NH Black
3748 97668 male 77 174.7 170.8 NH White
3749 97669 female 15 164.1 71.2 NH White
3750 97670 female 27 167.0 89.1 Other/Mixed
3751 97671 female 20 145.9 70.8 Other Hispanic
3752 97672 female 45 150.4 75.2 Mexican
3753 97673 male 0 NA 8.0 NH White
3754 97674 female 9 143.9 41.8 Mexican
3755 97675 female 41 164.9 71.0 NH Black
3756 97676 male 63 160.8 68.7 NH Asian
3757 97677 male 7 121.8 23.3 NH Black
3758 97678 male 11 152.3 61.2 Other/Mixed
3759 97679 female 4 115.1 19.7 NH Asian
3760 97680 male 0 NA 7.1 Mexican
3761 97681 male 5 118.2 21.3 Mexican
3762 97683 female 49 155.0 66.2 Mexican
3763 97684 female 47 162.7 134.5 NH White
3764 97685 male 23 167.9 110.5 Other Hispanic
3765 97686 female 8 134.4 34.2 Mexican
3766 97688 female 56 156.2 105.5 NH Black
3767 97689 male 60 168.3 98.1 NH White
3768 97690 female 2 NA 14.5 Other Hispanic
3769 97691 female 29 163.0 84.3 NH Black
3770 97692 male 31 166.5 77.2 Other Hispanic
3771 97693 male 80 NA 61.9 NH Black
3772 97694 female 19 163.0 95.5 NH White
3773 97695 female 52 155.0 69.0 NH Asian
3774 97696 male 15 181.5 80.1 Other/Mixed
3775 97697 male 67 192.9 82.9 NH Black
3776 97698 female 47 NA NA Other Hispanic
3777 97699 female 55 156.9 65.6 Mexican
3778 97700 female 5 105.5 18.2 Other Hispanic
3779 97701 male 42 184.9 142.9 NH White
3780 97702 female 21 169.3 90.4 NH Black
3781 97703 male 35 159.1 92.1 Other Hispanic
3782 97704 female 54 150.8 83.2 NH Black
3783 97705 female 33 170.2 69.4 NH Black
3784 97706 male 50 171.6 90.8 Mexican
3785 97707 female 6 126.1 27.0 Other Hispanic
3786 97708 male 76 168.9 87.5 NH Black
3787 97709 female 22 160.3 84.2 NH White
3788 97710 female 5 105.4 15.9 NH Black
3789 97711 female 80 146.9 49.7 NH White
3790 97712 female 69 167.1 92.0 NH Black
3791 97713 female 80 165.9 65.5 NH Black
3792 97714 male 47 164.9 87.2 Other/Mixed
3793 97715 male 11 153.2 41.3 NH White
3794 97716 female 29 170.2 65.9 NH White
3795 97717 male 12 174.7 95.1 NH White
3796 97719 male 80 168.9 77.5 Other/Mixed
3797 97720 male 15 183.8 86.4 NH White
3798 97721 female 1 NA 13.2 NH White
3799 97722 female 24 168.3 55.9 NH Black
3800 97723 female 19 165.3 75.8 Mexican
3801 97724 male 80 175.0 NA NH White
3802 97725 female 1 NA 10.9 Mexican
3803 97726 female 39 155.0 70.4 Mexican
3804 97727 male 53 190.8 164.8 NH Black
3805 97728 male 79 179.5 69.8 NH White
3806 97729 female 16 159.4 109.6 NH White
3807 97730 female 19 153.9 38.6 Other Hispanic
3808 97731 female 1 NA 9.6 Other/Mixed
3809 97732 female 10 147.2 40.9 Mexican
3810 97733 female 0 NA 9.1 Mexican
3811 97734 male 1 NA 12.2 NH White
3812 97735 male 30 176.4 107.2 Mexican
3813 97736 male 9 138.8 33.0 NH Black
3814 97737 male 57 177.1 72.9 NH White
3815 97738 female 1 NA 10.3 NH Asian
3816 97739 female 36 161.4 49.0 NH Black
3817 97740 female 52 168.6 82.0 Other/Mixed
3818 97741 female 36 160.1 58.5 NH White
3819 97742 female 12 162.1 58.5 NH Black
3820 97744 male 55 177.0 66.2 NH Asian
3821 97745 male 66 166.8 64.7 NH White
3822 97746 male 71 182.0 85.5 NH White
3823 97747 male 47 166.6 72.4 NH Black
3824 97748 female 50 161.2 57.6 NH Asian
3825 97749 male 0 NA 8.4 Other/Mixed
3826 97750 male 67 173.9 86.2 NH Black
3827 97751 female 54 152.7 62.6 Other Hispanic
3828 97752 male 77 173.2 114.9 NH White
3829 97753 male 62 195.5 150.6 NH White
3830 97754 male 12 155.6 38.9 NH White
3831 97755 female 13 154.2 47.0 NH White
3832 97756 female 23 160.9 154.6 Mexican
3833 97757 male 0 NA 5.5 Other Hispanic
3834 97758 female 54 153.9 102.9 NH Black
3835 97759 female 10 NA NA NH Black
3836 97760 female 55 154.9 100.2 Other Hispanic
3837 97761 female 56 165.0 68.8 NH Black
3838 97762 female 50 166.3 93.0 NH White
3839 97763 female 21 167.7 53.3 NH White
3840 97764 male 45 171.8 74.6 NH Black
3841 97765 female 53 156.2 59.3 NH Asian
3842 97766 male 65 188.4 113.4 Other/Mixed
3843 97768 female 56 161.7 73.3 Other/Mixed
3844 97769 male 80 160.6 70.3 NH White
3845 97770 female 61 162.3 111.6 NH White
3846 97771 female 31 175.6 131.7 NH White
3847 97772 male 16 163.5 76.6 NH Black
3848 97773 female 26 169.0 83.9 NH Black
3849 97774 male 33 158.5 51.0 Mexican
3850 97775 male 67 169.3 76.4 Other/Mixed
3851 97776 female 58 149.4 74.1 Other Hispanic
3852 97777 male 60 174.6 85.3 NH Black
3853 97778 female 14 158.7 49.6 NH White
3854 97779 female 46 158.7 82.3 NH Black
3855 97780 female 0 NA 9.1 NH Black
3856 97781 female 6 124.9 27.3 NH Asian
3857 97782 female 39 171.0 72.6 NH Black
3858 97783 female 46 163.8 124.6 NH Black
3859 97784 male 31 175.0 82.4 NH White
3860 97785 female 16 165.6 71.2 NH White
3861 97786 male 13 166.3 54.1 NH Asian
3862 97787 male 52 176.6 72.9 Other/Mixed
3863 97788 male 73 158.3 74.0 Other/Mixed
3864 97789 female 0 NA 8.5 NH White
3865 97790 male 60 168.5 82.6 Mexican
3866 97791 male 11 143.4 33.8 NH Black
3867 97792 male 14 172.1 114.4 NH Black
3868 97793 male 19 185.6 78.4 NH Asian
3869 97794 female 45 166.6 67.8 NH Asian
3870 97795 female 33 161.4 62.1 NH White
3871 97796 female 13 165.9 74.7 Mexican
3872 97797 female 15 157.3 55.9 Mexican
3873 97798 male 17 178.4 93.4 NH Asian
3874 97799 male 18 176.6 85.8 Other/Mixed
3875 97800 male 17 167.5 83.4 NH Asian
3876 97801 male 80 179.3 81.2 NH White
3877 97802 male 71 170.1 99.4 NH White
3878 97803 male 5 116.9 21.1 NH Asian
3879 97804 male 4 103.7 15.9 NH Asian
3880 97805 male 16 170.6 65.5 NH White
3881 97806 female 18 165.3 61.0 NH White
3882 97807 male 11 155.4 67.1 Mexican
3883 97808 female 1 NA 10.8 NH White
3884 97809 male 71 186.5 130.9 Other/Mixed
3885 97810 male 57 187.5 87.4 Other/Mixed
3886 97811 female 26 154.5 75.6 NH Black
3887 97812 male 10 138.8 36.8 NH White
3888 97813 female 60 165.0 88.2 NH White
3889 97815 male 0 NA 10.2 NH White
3890 97816 male 9 133.8 32.6 NH White
3891 97817 female 64 154.1 45.8 NH Asian
3892 97818 female 0 NA 4.3 Mexican
3893 97819 female 13 155.9 76.2 NH White
3894 97820 female 2 86.5 12.2 Mexican
3895 97821 female 7 123.5 29.9 Other Hispanic
3896 97822 female 42 162.6 70.2 NH Black
3897 97823 male 29 171.9 90.0 Other Hispanic
3898 97824 male 3 97.2 13.6 Other Hispanic
3899 97825 male 18 174.7 78.5 NH White
3900 97827 male 50 171.1 80.2 NH Asian
3901 97828 male 74 162.1 67.6 Mexican
3902 97829 male 24 175.7 191.3 NH Black
3903 97830 male 60 174.3 108.0 NH White
3904 97832 male 73 165.1 75.8 NH White
3905 97833 male 3 108.0 19.9 NH White
3906 97834 male 1 NA 12.2 NH White
3907 97835 female 49 158.8 84.9 NH Black
3908 97836 female 11 164.2 43.2 NH Black
3909 97837 male 0 NA 9.9 NH White
3910 97838 female 8 137.3 34.0 Other/Mixed
3911 97839 female 13 171.7 111.9 Mexican
3912 97840 male 32 169.7 73.5 NH Asian
3913 97841 female 44 165.5 91.6 NH White
3914 97842 male 1 NA 16.0 Mexican
3915 97843 male 11 147.0 35.8 NH Black
3916 97845 male 47 173.4 89.0 Other/Mixed
3917 97846 female 9 143.0 43.1 NH White
3918 97847 female 65 158.8 58.7 NH White
3919 97848 female 30 158.9 53.5 NH Black
3920 97849 male 5 114.6 24.1 NH White
3921 97850 female 64 148.3 82.4 Other Hispanic
3922 97851 male 23 172.6 77.0 NH Black
3923 97852 female 11 150.7 52.5 Other/Mixed
3924 97853 female 20 159.0 66.2 NH Asian
3925 97854 male 0 NA 9.5 Mexican
3926 97855 male 9 140.6 29.8 NH White
3927 97856 male 6 120.4 20.9 NH White
3928 97857 male 0 NA 8.2 NH White
3929 97859 male 60 166.6 61.7 NH Asian
3930 97860 male 3 105.5 17.3 NH White
3931 97861 female 47 162.3 85.3 NH White
3932 97862 male 19 176.5 60.6 NH Black
3933 97863 male 13 175.7 96.2 NH White
3934 97865 male 10 137.8 45.4 NH White
3935 97866 male 39 177.5 113.8 NH White
3936 97867 female 6 121.5 31.6 NH White
3937 97869 female 80 170.2 85.2 NH White
3938 97870 female 8 138.2 35.1 NH Black
3939 97871 female 64 148.4 79.8 Other Hispanic
3940 97874 female 55 154.4 67.3 NH White
3941 97875 female 7 126.2 25.4 Other Hispanic
3942 97876 male 58 168.8 86.1 NH White
3943 97877 female 29 147.9 54.7 NH Black
3944 97878 female 49 163.2 82.3 NH Black
3945 97879 female 4 119.9 24.7 Other/Mixed
3946 97880 male 0 NA 10.8 NH Black
3947 97881 male 13 166.0 59.2 NH White
3948 97882 female 18 162.6 83.0 Mexican
3949 97883 female 71 166.7 71.6 NH White
3950 97884 male 3 99.8 17.3 NH Black
3951 97885 male 0 NA 5.7 Other/Mixed
3952 97886 female 54 159.5 53.2 NH Asian
3953 97888 male 0 NA 6.3 NH White
3954 97889 male 10 141.0 32.7 NH White
3955 97890 female 11 142.4 39.4 Mexican
3956 97891 male 69 169.4 67.0 NH Asian
3957 97892 female 15 151.4 55.7 NH Black
3958 97894 female 67 161.4 83.2 Other Hispanic
3959 97895 male 63 179.3 74.2 NH White
3960 97896 female 57 157.2 54.6 Other/Mixed
3961 97897 male 58 168.2 116.6 NH Asian
3962 97898 male 11 NA NA NH White
3963 97899 male 29 180.6 113.5 NH Black
3964 97900 male 1 NA 8.7 NH White
3965 97901 male 45 181.0 80.2 NH White
3966 97902 male 62 173.8 82.6 Other Hispanic
3967 97903 female 78 161.1 88.4 NH White
3968 97904 male 34 176.1 83.8 NH Black
3969 97905 female 64 163.6 84.0 NH Black
3970 97906 male 7 133.5 37.8 NH Black
3971 97907 male 0 NA 8.2 NH White
3972 97908 male 62 167.0 78.2 NH White
3973 97909 female 45 161.7 89.4 NH Asian
3974 97910 male 12 159.4 42.8 NH White
3975 97911 female 10 140.3 55.1 NH Black
3976 97912 male 2 98.6 17.9 Other Hispanic
3977 97914 female 6 118.3 25.5 NH Black
3978 97915 female 42 155.9 69.8 Mexican
3979 97916 female 73 151.0 110.6 NH White
3980 97917 female 0 NA 9.6 NH White
3981 97918 female 18 165.0 69.4 NH Asian
3982 97919 female 70 164.6 65.6 NH Black
3983 97920 female 0 NA 4.9 NH White
3984 97921 female 6 113.6 19.3 NH White
3985 97922 male 9 126.2 25.3 Mexican
3986 97923 female 43 160.5 50.0 NH White
3987 97924 male 41 174.2 67.2 NH White
3988 97925 female 14 160.4 61.1 NH White
3989 97926 male 80 169.1 73.9 NH White
3990 97927 female 10 143.9 48.4 Other Hispanic
3991 97928 male 56 183.5 87.4 Mexican
3992 97929 female 76 163.9 79.9 NH White
3993 97930 male 32 174.5 88.4 Other/Mixed
3994 97931 female 16 156.1 58.2 Mexican
3995 97933 male 14 168.7 94.6 Mexican
3996 97934 male 25 171.7 72.3 NH White
3997 97935 male 22 169.6 61.9 Other Hispanic
3998 97937 female 61 158.6 47.9 NH Asian
3999 97938 male 35 167.8 242.6 NH Black
4000 97939 female 1 NA 13.6 NH White
4001 97940 male 29 177.9 77.3 NH Asian
4002 97941 female 28 158.8 69.8 Mexican
4003 97943 female 19 158.7 96.1 NH White
4004 97944 female 63 153.9 62.2 NH White
4005 97945 female 28 146.2 65.3 Mexican
4006 97946 female 34 163.0 82.7 NH White
4007 97947 female 80 160.4 74.7 NH White
4008 97948 female 32 172.9 55.3 NH White
4009 97949 female 30 161.8 58.7 NH White
4010 97950 female 69 159.6 71.0 NH Black
4011 97951 female 24 153.0 50.4 NH Asian
4012 97952 male 57 166.5 75.6 NH Asian
4013 97953 female 7 142.5 33.2 Other/Mixed
4014 97954 female 67 149.4 79.4 Mexican
4015 97955 male 65 171.5 80.9 NH White
4016 97956 male 80 165.4 79.8 NH White
4017 97957 male 0 NA 5.1 NH White
4018 97958 female 24 165.0 92.6 NH Black
4019 97959 male 80 NA NA NH White
4020 97960 female 27 167.6 79.3 NH Asian
4021 97962 male 0 NA 10.5 Other/Mixed
4022 97963 male 29 181.7 87.4 NH White
4023 97964 male 74 174.8 88.9 NH Black
4024 97965 male 32 182.0 143.4 NH Asian
4025 97966 female 54 169.1 73.7 NH White
4026 97967 female 40 151.1 62.3 Mexican
4027 97969 female 62 152.1 79.9 Mexican
4028 97970 female 61 155.1 79.2 NH Black
4029 97971 male 71 178.6 106.4 NH White
4030 97972 female 30 166.3 131.6 NH Black
4031 97973 male 64 167.8 78.6 Mexican
4032 97974 female 44 141.9 49.3 NH Asian
4033 97975 male 4 105.2 18.7 NH White
4034 97976 male 62 163.2 75.7 Other Hispanic
4035 97977 male 40 180.5 134.4 NH Black
4036 97978 female 41 177.2 130.9 NH Black
4037 97979 male 14 174.8 53.0 NH White
4038 97980 male 78 167.3 76.7 Mexican
4039 97981 male 5 112.8 20.8 NH White
4040 97982 female 52 159.2 88.3 NH White
4041 97983 male 61 165.9 92.3 Other Hispanic
4042 97984 male 9 130.5 30.7 NH Asian
4043 97985 female 80 164.8 78.2 NH Black
4044 97986 female 29 165.6 121.3 NH Black
4045 97987 female 58 163.4 57.5 NH White
4046 97988 male 14 179.2 76.3 NH Asian
4047 97989 female 16 159.9 60.2 NH White
4048 97991 male 18 164.4 62.6 NH Asian
4049 97992 male 6 117.7 20.4 NH Asian
4050 97993 female 16 152.4 50.1 NH White
4051 97994 male 0 NA 11.4 Other/Mixed
4052 97995 male 47 172.8 89.3 Mexican
4053 97996 female 75 143.3 53.8 NH Asian
4054 97997 female 70 153.5 74.9 NH White
4055 97998 female 4 112.0 21.2 Mexican
4056 97999 female 80 157.3 97.5 NH Black
4057 98000 female 7 116.4 21.6 NH White
4058 98001 male 16 165.5 68.2 Mexican
4059 98002 male 16 168.2 57.9 NH Black
4060 98004 female 17 161.5 68.0 NH Black
4061 98005 male 67 175.5 86.5 NH White
4062 98006 male 36 185.4 86.7 NH Black
4063 98007 male 31 172.6 74.7 NH Black
4064 98008 female 80 157.8 69.5 NH White
4065 98009 male 57 169.1 61.2 NH White
4066 98010 female 27 152.9 52.0 NH Asian
4067 98011 male 3 100.7 15.0 NH Black
4068 98012 male 13 155.1 62.7 NH Asian
4069 98013 female 4 103.7 17.7 Mexican
4070 98014 female 59 170.2 103.8 NH White
4071 98015 male 49 175.5 73.4 NH Black
4072 98016 female 69 166.3 82.0 NH Black
4073 98017 female 0 NA 6.4 NH White
4074 98018 male 22 179.6 68.1 NH Black
4075 98019 male 80 180.5 94.2 Other/Mixed
4076 98020 male 0 NA 9.2 Other/Mixed
4077 98021 female 9 136.5 37.6 NH Black
4078 98022 female 18 162.4 62.5 NH Black
4079 98023 female 37 153.7 84.9 NH Black
4080 98024 female 61 155.5 98.0 Other Hispanic
4081 98025 male 15 173.5 64.5 NH Black
4082 98026 female 4 102.5 17.5 NH White
4083 98027 male 6 130.9 23.8 NH Asian
4084 98028 female 34 155.7 80.1 NH White
4085 98029 female 66 155.9 57.5 NH Asian
4086 98030 female 24 150.9 55.6 NH Black
4087 98031 male 31 183.3 105.5 Other/Mixed
4088 98032 male 72 177.9 81.0 NH White
4089 98033 female 42 168.3 76.0 NH Black
4090 98034 male 43 176.1 97.6 NH Black
4091 98035 female 35 163.6 85.2 Mexican
4092 98036 female 38 155.6 79.3 NH Asian
4093 98037 female 6 112.5 16.9 Mexican
4094 98038 female 15 155.2 46.0 NH Asian
4095 98039 male 1 NA 11.0 NH Black
4096 98040 male 65 158.8 65.1 NH Asian
4097 98041 female 55 152.4 83.6 Mexican
4098 98042 male 8 141.5 38.3 NH White
4099 98043 male 61 177.6 85.8 NH Black
4100 98044 male 12 150.5 36.5 NH Black
4101 98045 female 40 160.9 64.6 NH Asian
4102 98046 female 49 164.8 103.1 NH White
4103 98047 male 53 174.0 84.2 Mexican
4104 98048 female 30 159.4 53.2 NH Asian
4105 98049 male 67 170.8 70.4 NH Asian
4106 98051 male 9 134.3 28.9 NH White
4107 98052 female 26 163.9 69.7 NH Black
4108 98054 male 43 185.8 NA NH White
4109 98055 female 0 NA 9.1 Mexican
4110 98056 female 34 164.6 91.9 NH White
4111 98057 male 21 175.1 134.0 Mexican
4112 98058 female 80 NA NA Mexican
4113 98059 female 0 NA 5.8 NH White
4114 98060 male 80 175.5 77.9 NH White
4115 98061 male 19 178.5 74.1 NH Black
4116 98062 female 80 157.6 79.9 NH White
4117 98063 female 3 93.2 14.4 Other Hispanic
4118 98065 female 29 160.3 51.2 Other/Mixed
4119 98066 male 19 176.9 67.0 Mexican
4120 98068 female 14 153.8 50.9 Mexican
4121 98069 female 2 85.8 11.4 NH White
4122 98070 male 4 108.9 15.4 NH Black
4123 98071 female 61 167.3 66.2 NH White
4124 98072 male 6 121.8 24.4 NH Black
4125 98073 female 23 143.9 40.4 Other Hispanic
4126 98074 male 2 89.2 14.7 Mexican
4127 98075 female 66 175.0 74.2 NH White
4128 98076 female 2 90.9 13.5 NH White
4129 98077 male 31 175.5 77.5 NH White
4130 98079 male 11 150.4 37.4 Other/Mixed
4131 98080 male 5 118.1 19.9 NH Black
4132 98081 male 56 163.5 62.4 NH Black
4133 98082 female 46 164.0 93.8 NH White
4134 98083 female 54 161.2 59.3 NH Black
4135 98084 female 80 NA NA NH White
4136 98085 male 59 164.1 84.1 Other Hispanic
4137 98087 female 74 152.2 62.6 NH White
4138 98088 male 33 179.0 96.4 NH White
4139 98089 male 7 129.1 27.8 NH Asian
4140 98090 female 11 147.4 53.0 NH Black
4141 98091 female 3 102.4 17.7 NH White
4142 98092 male 41 162.5 85.9 Mexican
4143 98093 male 7 123.8 23.0 NH Asian
4144 98094 female 45 155.7 94.2 Mexican
4145 98095 female 80 147.6 62.4 NH White
4146 98096 female 36 152.4 61.5 Other Hispanic
4147 98097 male 29 178.5 109.9 NH White
4148 98098 female 3 109.8 18.4 NH Black
4149 98099 male 54 182.2 81.6 NH White
4150 98100 male 33 171.3 115.9 NH White
4151 98101 male 48 170.4 83.9 NH Asian
4152 98102 female 35 157.3 72.0 NH Asian
4153 98103 male 37 175.0 71.5 NH Black
4154 98104 male 3 98.0 13.0 NH Asian
4155 98105 male 1 NA 12.9 Other/Mixed
4156 98106 female 76 149.1 71.1 Other Hispanic
4157 98107 male 61 173.5 96.2 Mexican
4158 98108 male 1 NA 11.5 Other/Mixed
4159 98109 male 77 159.9 59.9 NH Asian
4160 98110 male 74 179.3 95.4 NH Asian
4161 98111 female 19 171.7 84.0 Other/Mixed
4162 98112 female 4 91.7 11.5 NH White
4163 98113 female 25 167.0 123.5 NH White
4164 98114 female 52 159.1 61.4 NH Black
4165 98115 female 4 105.0 18.8 Other/Mixed
4166 98116 male 5 113.6 26.3 NH White
4167 98117 female 8 142.7 39.1 NH Black
4168 98118 male 7 125.4 21.2 NH White
4169 98119 female 30 168.0 91.6 NH White
4170 98120 female 41 165.7 110.8 NH White
4171 98121 male 73 173.7 79.5 NH White
4172 98122 male 14 171.7 62.1 NH Black
4173 98123 male 4 112.9 19.3 Other/Mixed
4174 98124 male 31 170.3 71.8 NH White
4175 98125 female 76 152.5 59.1 NH White
4176 98128 female 9 141.0 41.7 NH Asian
4177 98129 female 14 157.9 51.4 NH Asian
4178 98130 male 68 167.5 103.3 NH White
4179 98131 female 40 157.3 95.3 NH Black
4180 98132 male 15 175.4 75.9 Mexican
4181 98133 female 80 140.8 59.0 NH White
4182 98134 male 62 167.3 66.7 Mexican
4183 98135 female 42 163.3 128.5 NH White
4184 98136 female 0 NA 8.6 Other/Mixed
4185 98137 female 78 155.8 59.3 NH Asian
4186 98138 male 40 169.4 85.7 NH Asian
4187 98139 male 60 172.6 76.3 Mexican
4188 98140 female 2 85.6 12.1 Other/Mixed
4189 98141 female 56 149.7 77.8 Mexican
4190 98142 male 65 NA NA NH Black
4191 98143 female 80 165.5 54.4 NH White
4192 98144 female 45 157.1 58.0 NH White
4193 98145 female 24 172.6 65.3 NH White
4194 98146 male 16 181.3 65.0 NH Black
4195 98147 male 29 186.1 99.9 NH White
4196 98148 female 37 161.6 56.7 NH White
4197 98149 male 15 160.9 49.4 Mexican
4198 98150 male 14 166.0 66.2 Other/Mixed
4199 98151 female 6 123.1 25.1 Other/Mixed
4200 98152 male 62 175.9 78.7 NH Black
4201 98153 male 55 154.4 53.8 NH Asian
4202 98154 male 7 129.9 35.2 Mexican
4203 98155 male 1 NA 10.4 Other/Mixed
4204 98156 female 46 154.4 72.0 Mexican
4205 98157 female 6 127.2 22.4 NH White
4206 98158 male 69 181.6 63.0 NH Black
4207 98159 male 0 NA 7.1 Mexican
4208 98160 female 4 117.2 30.4 Mexican
4209 98161 female 43 161.0 92.1 NH White
4210 98162 female 70 149.5 57.0 Other Hispanic
4211 98163 female 17 166.4 104.7 Other/Mixed
4212 98164 female 14 160.9 67.8 Other/Mixed
4213 98165 male 55 177.2 110.2 NH White
4214 98167 female 5 117.6 23.9 Other Hispanic
4215 98168 female 55 173.6 70.1 Mexican
4216 98169 female 28 152.7 75.0 Other Hispanic
4217 98170 female 18 162.9 75.1 Mexican
4218 98171 female 0 NA 6.7 NH White
4219 98172 male 62 173.9 79.8 Mexican
4220 98173 female 71 144.2 71.7 Mexican
4221 98174 male 48 161.2 98.3 NH Black
4222 98175 female 69 149.0 77.3 NH Black
4223 98176 male 13 169.6 69.9 NH Black
4224 98177 female 15 163.6 58.1 NH White
4225 98178 male 47 181.4 87.4 NH White
4226 98179 male 0 NA 4.4 Other Hispanic
4227 98180 male 49 165.7 107.8 Mexican
4228 98181 male 1 NA 9.9 NH Black
4229 98182 female 2 84.4 10.9 NH Black
4230 98183 female 6 107.8 18.7 NH White
4231 98184 female 15 162.8 79.8 Mexican
4232 98185 female 11 142.8 36.2 NH White
4233 98186 female 11 166.4 63.5 NH White
4234 98187 female 32 168.2 64.3 Other Hispanic
4235 98188 male 10 142.8 31.7 NH White
4236 98189 male 43 171.0 68.6 NH White
4237 98190 male 12 163.7 81.9 Other/Mixed
4238 98191 female 2 88.2 11.1 Mexican
4239 98192 male 0 NA 6.9 NH Black
4240 98193 female 0 NA 7.9 NH White
4241 98194 female 60 144.6 72.6 NH Asian
4242 98195 male 28 183.1 75.3 NH Black
4243 98196 male 1 NA 8.8 NH White
4244 98197 male 69 171.3 91.2 NH Black
4245 98198 male 80 166.8 89.7 NH White
4246 98199 female 19 166.1 63.0 Other Hispanic
4247 98200 female 1 NA 14.7 Mexican
4248 98202 male 50 163.3 92.6 NH Black
4249 98203 male 35 171.9 81.0 NH White
4250 98204 male 60 182.9 72.7 NH White
4251 98205 female 80 165.1 83.1 NH White
4252 98206 male 1 NA 12.7 NH White
4253 98207 male 46 188.1 123.7 Other/Mixed
4254 98208 female 39 168.1 65.7 NH White
4255 98209 male 58 183.3 90.0 NH White
4256 98210 male 17 190.1 76.0 NH Black
4257 98211 male 74 170.5 83.9 Other Hispanic
4258 98212 female 18 160.8 55.4 NH White
4259 98213 male 15 184.5 73.0 NH Black
4260 98214 female 37 162.0 75.2 NH Asian
4261 98215 female 51 159.1 76.9 NH White
4262 98216 male 47 170.9 80.1 Other Hispanic
4263 98218 female 33 165.0 50.9 Mexican
4264 98219 female 6 118.3 24.2 Other/Mixed
4265 98220 male 50 182.7 151.0 NH Black
4266 98221 male 17 179.7 79.3 NH Asian
4267 98222 female 26 167.2 63.7 NH White
4268 98223 male 52 178.9 112.2 NH Black
4269 98224 female 14 153.0 50.7 NH Asian
4270 98225 male 26 181.5 121.8 NH Black
4271 98226 female 11 148.6 49.1 NH White
4272 98227 female 61 157.0 70.2 Mexican
4273 98228 female 52 163.7 173.4 NH Black
4274 98229 female 10 151.1 52.8 NH White
4275 98230 female 61 155.7 45.6 Other Hispanic
4276 98231 female 16 NA NA Other Hispanic
4277 98232 male 1 NA 13.7 NH White
4278 98233 male 8 142.7 30.3 NH Black
4279 98234 male 3 105.1 16.5 Mexican
4280 98235 female 10 145.1 41.5 Other Hispanic
4281 98236 female 80 146.4 46.8 NH Asian
4282 98237 male 0 NA 9.4 NH White
4283 98238 female 44 166.5 85.6 Other/Mixed
4284 98239 female 0 NA 9.2 Other/Mixed
4285 98240 male 0 NA 9.3 NH White
4286 98241 male 32 178.4 79.5 NH Asian
4287 98242 female 53 173.0 91.9 NH Black
4288 98243 male 35 168.9 94.6 NH Asian
4289 98244 male 80 169.3 49.6 NH White
4290 98245 female 1 NA 10.5 NH Black
4291 98246 female 11 131.2 27.7 Mexican
4292 98247 male 6 120.0 22.3 NH Black
4293 98248 female 7 117.7 23.4 Mexican
4294 98249 male 11 153.8 36.1 NH White
4295 98250 male 80 185.0 90.3 NH White
4296 98251 male 47 189.5 123.5 NH White
4297 98252 male 17 172.1 65.3 NH Asian
4298 98253 female 59 149.9 57.4 NH Asian
4299 98254 female 2 93.9 15.5 Mexican
4300 98255 female 19 155.3 66.6 NH Black
4301 98256 female 25 163.0 75.7 NH Black
4302 98257 male 71 168.8 57.7 NH White
4303 98258 male 73 185.9 97.8 NH White
4304 98259 female 52 165.3 185.0 NH Black
4305 98260 male 16 175.2 62.6 NH White
4306 98261 male 6 115.4 25.1 Mexican
4307 98262 male 59 176.6 83.0 NH White
4308 98263 female 8 139.3 50.1 Other Hispanic
4309 98264 male 72 177.0 104.9 NH White
4310 98265 male 1 NA 11.1 Mexican
4311 98266 female 41 161.0 93.0 Other Hispanic
4312 98267 male 49 167.5 71.1 NH Black
4313 98268 male 15 173.5 69.1 Other Hispanic
4314 98269 male 76 171.6 58.7 Other/Mixed
4315 98270 female 62 163.3 115.2 NH Black
4316 98271 male 50 165.7 79.0 NH Asian
4317 98272 male 55 175.3 128.0 Other Hispanic
4318 98273 male 8 135.5 27.2 Other/Mixed
4319 98274 female 52 159.2 109.3 NH White
4320 98275 male 3 101.8 18.8 NH Black
4321 98276 male 7 126.7 29.4 NH Black
4322 98277 female 18 162.2 58.1 NH White
4323 98279 female 8 126.8 26.8 NH White
4324 98280 female 31 161.4 71.3 NH Asian
4325 98281 male 5 113.3 20.8 NH Black
4326 98282 male 11 148.2 37.0 Mexican
4327 98283 female 10 143.9 40.0 NH White
4328 98284 female 38 165.2 146.6 NH White
4329 98285 female 24 170.8 66.5 NH Asian
4330 98286 male 2 91.5 17.1 Other/Mixed
4331 98287 female 61 164.8 96.6 NH Black
4332 98288 male 64 169.1 91.5 NH White
4333 98289 male 71 166.9 83.3 NH Black
4334 98290 male 10 151.5 62.0 Other Hispanic
4335 98291 male 5 106.9 18.6 NH Black
4336 98292 female 42 NA NA NH Black
4337 98293 female 52 171.0 106.0 NH Black
4338 98294 male 10 142.2 43.5 NH White
4339 98295 female 23 157.0 66.8 Mexican
4340 98296 male 12 160.3 51.1 Mexican
4341 98297 female 10 138.6 49.3 NH White
4342 98298 female 28 158.8 111.3 Other/Mixed
4343 98299 male 64 170.1 83.7 NH Asian
4344 98300 female 48 163.0 91.8 NH White
4345 98301 female 68 163.2 83.9 NH Black
4346 98302 male 29 166.6 86.9 Mexican
4347 98303 female 34 155.8 68.9 NH Black
4348 98304 female 79 156.4 50.7 NH White
4349 98305 female 14 164.4 57.3 Other/Mixed
4350 98306 male 1 NA 11.3 NH Asian
4351 98307 female 1 NA 9.6 NH Black
4352 98308 male 35 163.8 68.4 Mexican
4353 98309 female 73 163.2 61.7 NH White
4354 98310 female 47 157.8 100.8 Mexican
4355 98311 female 13 166.0 72.0 Other/Mixed
4356 98312 male 9 124.0 30.8 Mexican
4357 98314 male 25 175.0 112.7 NH Black
4358 98316 female 63 171.8 93.3 NH White
4359 98317 male 10 149.5 43.9 NH Asian
4360 98318 male 40 185.2 118.5 NH White
4361 98319 female 3 100.6 15.7 NH Black
4362 98320 female 48 162.9 97.8 NH Black
4363 98321 female 2 91.3 12.9 NH White
4364 98322 female 29 164.5 114.7 NH White
4365 98323 female 31 176.0 61.6 NH White
4366 98325 male 17 172.5 85.4 Mexican
4367 98326 female 55 163.8 54.1 NH Black
4368 98327 female 12 148.6 45.9 Mexican
4369 98328 female 30 157.2 64.4 NH Asian
4370 98329 female 0 NA 4.7 Mexican
4371 98330 male 16 174.7 96.0 NH Black
4372 98331 female 64 156.4 46.5 NH Asian
4373 98332 female 34 153.6 84.8 NH White
4374 98333 male 36 169.5 77.3 Other Hispanic
4375 98334 male 62 172.8 87.4 NH Asian
4376 98335 female 1 NA NA NH White
4377 98336 female 41 178.0 110.1 NH Black
4378 98337 female 6 119.3 22.4 NH White
4379 98338 male 54 163.8 53.9 NH White
4380 98339 male 80 169.1 102.6 NH White
4381 98340 female 13 156.4 54.6 NH White
4382 98341 male 71 168.4 54.1 NH White
4383 98342 female 9 128.8 27.1 Other/Mixed
4384 98343 female 31 151.8 52.6 NH Black
4385 98344 male 80 169.7 NA NH White
4386 98345 male 22 179.2 98.8 NH Asian
4387 98346 female 7 132.7 31.9 NH Black
4388 98347 male 80 169.0 56.2 NH White
4389 98348 male 5 119.7 22.8 NH White
4390 98349 female 16 158.7 63.9 NH Black
4391 98350 female 36 155.0 100.4 Mexican
4392 98351 female 38 166.4 71.1 Mexican
4393 98352 male 18 178.8 62.2 NH White
4394 98353 female 68 161.9 57.4 NH Asian
4395 98354 female 57 163.3 116.5 NH Black
4396 98355 female 53 163.6 66.5 NH Asian
4397 98356 male 3 96.9 15.2 NH Black
4398 98357 male 21 174.0 59.0 NH Black
4399 98358 male 33 176.2 81.9 NH Black
4400 98359 male 16 168.8 64.7 Other/Mixed
4401 98360 male 71 163.1 75.9 NH White
4402 98361 female 1 NA 12.2 NH White
4403 98363 male 10 135.8 41.1 Other Hispanic
4404 98364 male 37 168.8 87.8 NH White
4405 98365 male 6 117.4 22.9 NH Black
4406 98366 female 80 NA NA NH Black
4407 98367 female 6 116.2 21.3 NH Asian
4408 98368 male 80 178.4 90.1 NH White
4409 98369 male 69 180.1 78.9 NH White
4410 98370 male 20 170.5 56.2 NH Black
4411 98371 female 63 167.3 156.9 NH Black
4412 98372 male 70 175.8 58.9 Other/Mixed
4413 98373 female 62 155.7 73.1 NH White
4414 98374 female 42 165.7 95.0 NH White
4415 98375 male 19 177.9 112.0 Other Hispanic
4416 98376 male 20 174.7 50.9 Other Hispanic
4417 98377 female 7 122.3 26.9 NH Black
4418 98378 female 17 155.5 75.7 Mexican
4419 98379 female 63 145.6 80.1 NH Black
4420 98380 male 12 166.6 84.2 Other/Mixed
4421 98381 male 40 172.7 82.5 NH Asian
4422 98382 female 10 143.1 47.2 Mexican
4423 98383 male 69 158.5 70.3 Mexican
4424 98384 female 54 157.4 61.7 Mexican
4425 98385 male 61 171.2 109.3 NH White
4426 98386 female 15 170.9 93.1 Other Hispanic
4427 98387 male 5 115.6 20.6 Other Hispanic
4428 98388 male 8 122.9 20.6 NH Asian
4429 98389 male 11 162.1 77.5 Mexican
4430 98390 female 65 162.9 85.2 NH Black
4431 98391 female 80 150.0 55.8 NH White
4432 98392 male 47 176.4 74.8 NH Black
4433 98393 female 80 151.1 73.2 NH White
4434 98394 female 38 163.6 66.9 Other Hispanic
4435 98395 female 24 162.3 59.2 NH White
4436 98396 female 12 153.4 43.1 Mexican
4437 98397 male 16 168.3 58.7 NH Black
4438 98398 female 10 140.7 40.3 Mexican
4439 98399 male 54 169.6 79.1 NH Asian
4440 98400 male 10 148.3 57.5 NH White
4441 98401 male 41 177.9 92.3 NH Black
4442 98402 male 22 NA NA Mexican
4443 98403 male 27 184.2 86.2 NH Asian
4444 98404 male 14 171.8 117.1 NH Black
4445 98406 female 13 139.1 29.3 NH White
4446 98407 male 4 106.0 21.9 Mexican
4447 98408 female 19 163.8 54.1 NH White
4448 98409 male 2 89.9 12.6 NH White
4449 98410 female 10 140.6 38.9 NH White
4450 98411 female 18 166.1 93.4 Other/Mixed
4451 98412 female 67 155.3 82.7 NH Black
4452 98413 male 80 161.5 76.9 NH Asian
4453 98414 female 70 NA 74.1 Other/Mixed
4454 98415 male 5 110.0 19.6 NH Black
4455 98416 female 25 159.0 52.4 NH Asian
4456 98417 female 79 152.8 51.7 NH White
4457 98418 male 14 174.2 81.3 NH Asian
4458 98419 male 12 145.5 43.2 NH Asian
4459 98420 female 27 171.2 58.5 NH White
4460 98421 male 62 185.6 83.7 NH Asian
4461 98422 female 63 163.8 73.2 NH White
4462 98423 female 80 164.2 60.3 NH Black
4463 98424 male 80 182.4 82.6 NH Black
4464 98425 male 9 134.8 30.6 Other Hispanic
4465 98426 male 28 170.0 63.9 NH Black
4466 98427 male 18 165.8 55.4 NH Asian
4467 98428 female 25 171.1 79.1 NH White
4468 98429 female 80 156.8 66.7 NH White
4469 98430 female 8 121.5 23.3 Mexican
4470 98431 female 69 156.0 75.4 NH Black
4471 98432 male 1 NA 12.4 Other/Mixed
4472 98433 male 71 177.3 116.0 NH White
4473 98434 male 4 113.6 20.1 NH Asian
4474 98435 female 21 157.9 61.0 NH Black
4475 98436 male 36 174.5 85.2 NH Black
4476 98437 female 32 164.3 67.9 NH Black
4477 98438 female 62 157.7 89.4 Mexican
4478 98439 male 3 96.4 15.8 NH Asian
4479 98440 female 19 154.6 47.7 NH Black
4480 98441 male 22 171.3 157.9 NH White
4481 98442 female 22 163.7 94.5 NH Black
4482 98443 female 21 164.1 64.5 NH White
4483 98444 female 59 154.6 90.5 NH White
4484 98445 female 25 161.8 68.3 Other Hispanic
4485 98446 male 13 166.1 52.9 Other/Mixed
4486 98447 male 32 169.6 153.8 NH White
4487 98448 female 24 164.1 115.7 NH Black
4488 98449 female 12 155.5 52.4 Mexican
4489 98450 female 15 173.1 76.8 Other/Mixed
4490 98451 male 6 125.9 25.5 NH White
4491 98452 male 52 179.2 71.0 NH Asian
4492 98453 male 7 120.7 25.3 NH Black
4493 98454 female 63 164.8 86.4 Mexican
4494 98455 female 5 111.0 17.2 Other Hispanic
4495 98456 male 36 171.8 64.8 NH Black
4496 98457 male 80 174.8 53.4 NH Black
4497 98458 male 24 175.7 85.5 Other Hispanic
4498 98459 female 12 160.5 39.7 NH Asian
4499 98460 female 27 158.6 82.4 Mexican
4500 98461 female 54 163.0 49.2 NH Asian
4501 98462 male 71 170.5 85.4 Mexican
4502 98463 female 66 165.7 83.3 NH White
4503 98464 male 7 122.6 26.6 Other/Mixed
4504 98465 female 14 158.9 50.5 NH White
4505 98466 male 0 NA 6.3 NH Black
4506 98467 female 3 96.7 13.7 NH White
4507 98468 female 14 159.7 53.5 Mexican
4508 98469 male 41 159.7 71.4 NH Asian
4509 98470 female 38 162.4 76.5 Other Hispanic
4510 98472 female 2 94.1 14.5 NH Asian
4511 98473 female 65 143.5 73.1 Other Hispanic
4512 98474 male 35 181.8 67.4 NH Black
4513 98475 male 22 170.7 104.7 Mexican
4514 98476 male 2 NA 15.6 NH White
4515 98477 female 12 154.5 48.4 Other/Mixed
4516 98478 female 3 95.6 14.2 Other Hispanic
4517 98479 male 27 166.4 67.2 NH Asian
4518 98481 male 60 180.1 96.7 Other/Mixed
4519 98483 female 26 157.9 51.6 NH White
4520 98484 female 13 151.1 39.7 NH Asian
4521 98485 male 21 174.7 67.1 Other/Mixed
4522 98486 female 12 142.2 32.4 NH Asian
4523 98487 female 0 NA 6.4 Mexican
4524 98488 male 7 131.4 40.9 Other Hispanic
4525 98489 female 55 164.0 94.3 NH Black
4526 98490 male 24 170.9 94.0 NH White
4527 98491 female 61 159.2 149.0 NH White
4528 98492 female 0 NA 10.3 Mexican
4529 98493 female 18 157.0 65.7 Mexican
4530 98494 female 25 165.0 64.2 Other/Mixed
4531 98495 male 48 176.1 77.1 NH White
4532 98496 female 46 166.0 93.4 NH Black
4533 98497 male 2 NA NA Mexican
4534 98498 female 74 158.5 58.7 NH White
4535 98499 male 12 150.2 38.3 Other Hispanic
4536 98500 female 56 147.6 62.7 Other Hispanic
4537 98501 female 68 155.2 72.3 Other Hispanic
4538 98502 female 80 160.4 101.9 NH White
4539 98503 male 1 NA 11.8 NH Black
4540 98504 male 18 171.9 60.8 NH Black
4541 98505 male 16 174.7 95.3 Mexican
4542 98506 female 64 159.1 99.7 NH Black
4543 98507 female 16 163.9 65.7 Mexican
4544 98508 male 62 173.6 78.4 NH Asian
4545 98509 female 28 180.6 109.7 NH White
4546 98510 male 10 143.1 43.2 Other Hispanic
4547 98511 female 12 154.4 38.7 NH White
4548 98512 female 32 161.1 108.3 NH Black
4549 98513 male 3 NA NA Other Hispanic
4550 98514 male 32 179.4 129.4 NH White
4551 98515 female 3 94.7 12.7 NH White
4552 98516 male 8 135.7 37.2 NH White
4553 98517 female 80 161.1 73.5 NH White
4554 98518 male 2 95.3 17.7 NH White
4555 98519 female 1 NA 10.4 Mexican
4556 98520 male 16 163.4 62.5 NH White
4557 98521 male 40 176.0 95.2 NH Black
4558 98522 male 17 176.3 149.0 NH Black
4559 98523 male 40 167.4 111.4 NH White
4560 98524 female 49 159.1 91.5 NH Black
4561 98525 male 2 89.4 13.6 NH White
4562 98526 male 67 167.4 68.1 NH White
4563 98527 female 30 149.9 44.8 NH Black
4564 98528 male 32 169.8 96.8 NH White
4565 98529 female 70 161.7 60.8 NH White
4566 98530 male 60 171.4 96.9 NH Asian
4567 98531 female 20 152.4 49.1 NH White
4568 98532 female 3 92.1 12.8 NH Asian
4569 98533 female 3 95.2 14.6 NH White
4570 98535 female 80 154.7 52.5 NH White
4571 98536 female 77 149.6 55.4 NH White
4572 98537 female 59 157.0 79.0 Mexican
4573 98539 female 4 98.2 14.5 Other/Mixed
4574 98540 male 63 164.2 44.1 NH Asian
4575 98541 female 68 160.2 86.5 Mexican
4576 98542 female 54 163.0 84.3 NH Black
4577 98543 female 0 NA 8.0 Mexican
4578 98544 female 29 164.7 59.5 NH White
4579 98545 female 36 156.4 59.5 Other Hispanic
4580 98546 female 10 141.8 34.5 NH White
4581 98547 male 8 133.2 25.2 Other/Mixed
4582 98548 male 43 155.4 70.2 Other Hispanic
4583 98549 female 63 157.9 76.3 Mexican
4584 98550 male 40 180.8 133.4 NH Black
4585 98551 female 32 163.6 74.8 NH Asian
4586 98552 female 1 NA 11.4 NH White
4587 98553 female 40 159.3 58.2 Other Hispanic
4588 98554 female 63 170.2 64.6 Other Hispanic
4589 98555 male 21 180.4 113.5 Other Hispanic
4590 98556 male 48 168.6 67.0 NH Asian
4591 98557 male 80 168.4 61.8 NH Black
4592 98558 female 63 161.0 73.3 NH Black
4593 98559 female 8 136.4 40.5 NH Black
4594 98560 male 16 172.6 56.8 NH Black
4595 98561 male 44 178.4 114.9 NH Black
4596 98562 female 67 156.9 71.9 NH Black
4597 98563 female 17 164.0 62.3 NH Black
4598 98564 female 39 168.3 68.5 NH White
4599 98565 female 57 154.3 52.5 NH White
4600 98566 female 3 102.3 14.8 NH Black
4601 98567 female 7 127.3 27.2 NH White
4602 98568 male 78 178.8 97.0 NH White
4603 98569 male 65 168.2 61.8 Other Hispanic
4604 98570 male 0 NA 8.3 NH White
4605 98571 female 28 174.5 91.6 NH Black
4606 98572 female 0 NA 4.5 NH White
4607 98574 female 56 187.8 88.7 NH Black
4608 98575 male 5 109.0 17.9 NH Asian
4609 98576 male 7 121.7 24.2 Mexican
4610 98577 female 11 151.9 49.0 NH Black
4611 98578 female 16 158.2 48.0 Other Hispanic
4612 98579 female 36 156.0 61.4 NH Asian
4613 98580 female 3 94.0 13.6 Other/Mixed
4614 98581 female 67 155.0 85.2 NH White
4615 98582 female 8 129.8 26.0 NH Black
4616 98583 male 17 163.5 70.0 NH Asian
4617 98584 female 11 167.2 98.1 NH Black
4618 98585 female 51 162.9 50.3 Mexican
4619 98586 male 72 165.0 56.2 NH White
4620 98587 female 10 153.8 45.3 NH Black
4621 98588 male 6 117.0 21.8 NH Black
4622 98589 female 21 165.2 144.0 Mexican
4623 98590 female 12 155.9 81.9 NH Black
4624 98591 female 11 157.0 56.5 NH Black
4625 98592 female 68 149.5 54.7 NH Asian
4626 98594 female 38 160.8 111.1 Mexican
4627 98595 female 50 157.7 71.2 Mexican
4628 98596 male 18 164.5 48.9 NH Asian
4629 98597 female 66 147.8 79.7 Mexican
4630 98598 male 65 167.9 62.4 NH Black
4631 98599 male 80 170.2 75.1 NH White
4632 98600 male 80 170.3 55.5 NH White
4633 98601 female 41 159.0 74.7 NH Black
4634 98602 female 64 156.7 83.0 Mexican
4635 98603 female 69 159.4 89.0 Other/Mixed
4636 98604 male 10 143.0 28.4 NH White
4637 98605 female 55 163.5 135.8 NH Black
4638 98606 male 47 168.9 80.1 NH Black
4639 98607 female 8 125.5 21.6 NH Asian
4640 98608 male 19 177.4 102.9 NH Asian
4641 98609 female 62 169.2 77.5 Mexican
4642 98610 male 77 170.5 105.7 NH White
4643 98611 female 59 158.5 68.2 Other Hispanic
4644 98613 male 10 132.1 27.6 Mexican
4645 98614 female 59 170.7 70.6 NH Asian
4646 98615 male 60 177.3 93.3 NH Black
4647 98616 female 44 154.5 46.2 NH Asian
4648 98617 female 55 150.5 69.3 Other/Mixed
4649 98618 male 18 173.4 72.8 Mexican
4650 98619 male 1 NA 11.3 Mexican
4651 98620 male 8 134.2 28.9 NH White
4652 98621 male 1 NA 15.1 Other/Mixed
4653 98622 female 59 163.2 89.8 NH Black
4654 98623 female 15 160.1 58.6 NH White
4655 98624 male 53 177.2 98.4 NH Black
4656 98625 male 0 NA 8.3 NH Black
4657 98627 male 53 164.2 65.3 NH Asian
4658 98628 male 48 175.0 88.2 Mexican
4659 98629 male 45 188.6 97.4 NH White
4660 98630 male 64 167.6 101.1 NH Black
4661 98631 female 43 163.3 69.1 NH White
4662 98632 male 4 107.7 18.8 Other Hispanic
4663 98634 female 75 164.0 70.2 Other Hispanic
4664 98635 male 13 155.3 68.6 NH White
4665 98636 female 2 91.3 14.9 NH White
4666 98638 male 65 168.5 67.1 NH Black
4667 98639 male 6 117.2 21.9 NH White
4668 98640 male 12 155.7 59.3 NH White
4669 98641 male 67 173.1 78.7 NH White
4670 98642 male 12 157.8 45.4 NH White
4671 98643 male 9 142.3 49.7 NH White
4672 98644 female 10 144.2 34.0 Mexican
4673 98645 female 75 159.6 75.6 NH White
4674 98646 female 43 154.0 72.9 Mexican
4675 98647 male 8 138.4 48.6 NH White
4676 98648 female 80 152.2 71.8 NH White
4677 98649 male 75 172.5 71.3 NH White
4678 98650 male 72 156.9 69.3 NH Black
4679 98651 female 73 155.8 73.1 NH Black
4680 98652 male 2 90.5 15.5 Mexican
4681 98653 male 57 171.0 104.1 NH Black
4682 98654 male 17 184.0 119.8 Mexican
4683 98656 male 54 187.3 110.5 NH White
4684 98657 male 55 177.0 82.6 Other Hispanic
4685 98658 male 0 NA 10.3 Other Hispanic
4686 98659 female 7 126.5 23.0 Other/Mixed
4687 98660 male 2 91.2 14.4 NH White
4688 98661 female 31 168.5 44.6 NH Black
4689 98662 female 66 155.2 70.8 Mexican
4690 98663 female 4 108.2 17.5 Other Hispanic
4691 98664 male 7 125.4 36.8 Other Hispanic
4692 98666 male 53 189.1 105.8 NH Black
4693 98667 female 80 155.6 64.6 NH White
4694 98669 male 63 162.3 94.3 NH White
4695 98671 female 11 158.7 61.4 NH Black
4696 98672 female 1 NA 10.5 NH Asian
4697 98673 female 55 151.1 63.4 NH Asian
4698 98674 male 8 118.9 22.2 NH White
4699 98675 male 61 164.9 62.3 NH Asian
4700 98676 male 13 163.7 63.1 NH White
4701 98677 male 23 175.3 119.3 NH White
4702 98678 male 10 139.3 32.5 NH Asian
4703 98679 male 65 170.9 70.0 Mexican
4704 98680 female 37 154.7 100.6 NH Black
4705 98681 female 80 153.9 71.4 NH Black
4706 98682 male 64 162.7 74.6 Other Hispanic
4707 98684 male 71 177.1 85.5 NH White
4708 98685 female 64 170.8 81.6 Other/Mixed
4709 98686 male 2 97.9 16.7 NH White
4710 98687 female 30 159.0 66.6 NH White
4711 98688 female 17 171.6 93.2 NH Black
4712 98689 male 35 171.4 89.2 NH White
4713 98690 male 80 172.8 107.4 NH Black
4714 98691 male 56 167.6 81.8 Other Hispanic
4715 98692 male 25 178.4 76.0 NH Black
4716 98693 female 56 159.0 77.6 Mexican
4717 98694 female 54 159.7 92.0 NH White
4718 98695 male 18 178.9 53.2 NH Black
4719 98696 female 9 140.1 47.9 Other/Mixed
4720 98697 male 18 173.8 56.7 NH White
4721 98698 female 27 159.2 52.5 NH Asian
4722 98699 female 68 164.0 65.9 Other Hispanic
4723 98700 female 8 133.9 55.7 Other Hispanic
4724 98701 female 74 157.0 70.5 NH White
4725 98702 female 17 158.6 60.5 NH Asian
4726 98703 female 69 160.2 115.2 NH Black
4727 98704 male 9 137.9 36.0 NH Black
4728 98705 male 61 179.0 82.0 NH Asian
4729 98706 female 2 93.8 14.9 NH White
4730 98707 female 63 168.4 73.5 NH Black
4731 98708 male 43 170.9 55.6 NH White
4732 98710 male 24 171.4 120.9 Mexican
4733 98711 male 53 178.1 100.2 Other/Mixed
4734 98712 female 6 121.7 20.6 Other Hispanic
4735 98713 female 59 170.6 80.3 Other/Mixed
4736 98714 female 40 161.3 110.3 Mexican
4737 98715 female 11 159.9 60.7 NH White
4738 98716 female 41 159.3 112.5 NH Black
4739 98717 male 64 165.2 64.6 NH Asian
4740 98718 female 35 152.9 66.0 Other Hispanic
4741 98720 male 15 172.6 90.7 Other/Mixed
4742 98721 female 55 160.5 90.1 NH Black
4743 98722 female 57 166.3 133.8 NH Black
4744 98723 male 3 101.9 17.3 NH White
4745 98724 male 22 155.3 79.6 Other Hispanic
4746 98725 male 68 161.3 70.9 NH Asian
4747 98726 male 38 187.2 89.4 NH White
4748 98727 female 4 108.4 18.9 NH White
4749 98728 male 41 177.7 93.8 NH Asian
4750 98729 female 30 149.2 44.5 NH Asian
4751 98730 male 8 133.0 30.9 NH Black
4752 98731 male 4 103.1 14.9 NH Black
4753 98732 male 66 168.8 80.2 NH White
4754 98733 female 36 166.7 83.4 NH White
4755 98734 male 32 180.2 113.8 NH White
4756 98736 male 4 100.2 17.2 NH White
4757 98737 female 4 102.1 15.2 NH White
4758 98738 female 8 132.3 36.5 Mexican
4759 98739 male 10 139.4 40.4 Other/Mixed
4760 98740 male 31 182.5 87.5 NH Asian
4761 98741 female 64 160.8 90.8 NH White
4762 98742 female 80 143.8 59.9 Mexican
4763 98743 male 61 164.6 75.8 NH Asian
4764 98744 female 64 155.5 77.7 NH Black
4765 98745 female 60 172.5 71.0 NH Black
4766 98746 female 60 171.1 98.2 NH White
4767 98747 male 21 175.2 66.5 NH Black
4768 98748 male 50 172.4 54.7 NH White
4769 98749 male 37 180.8 101.2 NH White
4770 98750 female 1 NA 10.9 NH White
4771 98751 male 42 160.4 54.3 NH Asian
4772 98752 male 68 178.7 120.9 NH Black
4773 98753 male 15 177.3 80.8 Other/Mixed
4774 98754 male 0 NA 5.5 Other/Mixed
4775 98755 female 68 156.3 61.9 NH White
4776 98756 male 80 164.3 67.0 NH White
4777 98757 male 41 169.4 78.0 NH White
4778 98758 female 5 111.0 19.1 NH Black
4779 98759 male 80 162.5 57.2 Mexican
4780 98760 female 0 NA 5.8 NH White
4781 98761 female 4 104.6 17.0 NH White
4782 98762 male 28 178.6 112.6 NH White
4783 98763 female 51 163.4 79.5 NH Black
4784 98765 male 4 105.3 22.1 NH White
4785 98766 female 4 102.4 20.2 NH White
4786 98767 female 63 158.7 62.5 NH Asian
4787 98768 female 76 162.5 88.2 NH Black
4788 98769 male 41 180.1 81.6 NH Asian
4789 98770 female 46 167.1 146.2 NH Black
4790 98771 male 0 NA 4.7 NH Asian
4791 98772 male 59 177.5 86.4 NH White
4792 98773 male 14 168.6 98.1 NH Asian
4793 98774 female 6 119.9 38.7 Mexican
4794 98775 male 26 169.3 87.7 Other/Mixed
4795 98776 female 45 189.3 152.6 NH White
4796 98777 male 7 121.4 24.6 NH Black
4797 98778 male 42 168.5 61.0 NH Asian
4798 98779 female 0 NA 6.9 Other Hispanic
4799 98780 male 45 181.3 125.3 NH Black
4800 98781 female 55 162.1 93.1 NH White
4801 98782 female 43 158.9 74.1 NH Black
4802 98783 female 40 169.1 126.3 NH White
4803 98784 female 25 169.8 102.0 Other/Mixed
4804 98785 male 0 NA 3.2 NH White
4805 98786 male 17 172.5 50.6 NH White
4806 98787 female 9 135.8 46.2 NH White
4807 98788 female 20 167.7 106.7 Mexican
4808 98789 female 53 152.1 59.0 Other Hispanic
4809 98790 male 44 175.9 106.0 Other/Mixed
4810 98791 male 54 184.9 73.9 NH White
4811 98792 male 9 124.1 22.3 NH Black
4812 98793 female 46 152.8 53.5 NH Asian
4813 98794 male 14 183.0 59.1 NH White
4814 98795 female 16 149.0 53.5 NH Asian
4815 98796 female 21 162.5 60.3 NH Black
4816 98797 female 55 150.1 50.1 NH White
4817 98798 female 10 134.7 24.2 Other/Mixed
4818 98799 female 32 170.2 125.9 NH White
4819 98800 female 7 121.4 20.3 NH Asian
4820 98801 male 14 175.4 61.2 NH Black
4821 98802 male 15 162.9 51.6 NH Black
4822 98803 male 45 168.4 127.0 Mexican
4823 98804 female 39 154.6 75.0 NH Asian
4824 98805 male 2 86.2 14.7 Other Hispanic
4825 98806 female 72 155.8 77.2 Other Hispanic
4826 98807 female 29 162.5 79.1 Mexican
4827 98808 male 4 113.1 23.6 NH White
4828 98809 female 1 NA 11.7 NH Black
4829 98810 female 55 154.6 91.0 NH Black
4830 98811 male 1 NA 9.8 NH White
4831 98812 female 31 160.9 60.7 NH Asian
4832 98813 male 67 158.8 71.8 NH Asian
4833 98814 male 69 174.8 88.0 Mexican
4834 98815 female 75 151.3 47.6 NH White
4835 98816 female 12 152.8 51.0 NH White
4836 98817 female 21 163.3 52.8 NH White
4837 98819 female 58 155.7 111.7 NH Black
4838 98820 male 63 172.8 101.0 NH White
4839 98821 female 35 167.4 78.1 NH White
4840 98822 male 39 173.5 84.7 NH White
4841 98823 female 51 145.4 71.9 Other Hispanic
4842 98824 male 24 173.6 92.8 Other/Mixed
4843 98825 female 7 128.5 29.8 NH Black
4844 98826 female 3 92.3 13.3 NH Black
4845 98827 female 80 169.8 77.2 Other/Mixed
4846 98828 female 29 162.9 103.6 NH Black
4847 98829 male 18 181.3 89.4 Mexican
4848 98830 male 66 175.9 102.8 Other/Mixed
4849 98831 male 0 NA 7.0 Other Hispanic
4850 98832 female 48 171.9 79.5 NH Black
4851 98833 female 75 147.3 56.3 NH White
4852 98834 female 55 166.6 56.5 NH White
4853 98835 male 14 168.1 61.7 NH White
4854 98837 male 80 NA NA NH White
4855 98838 female 70 149.9 51.7 NH White
4856 98839 female 32 152.0 66.1 NH Asian
4857 98840 female 50 159.3 89.1 Other/Mixed
4858 98841 female 0 NA 7.1 NH Black
4859 98842 male 79 171.2 61.7 NH White
4860 98843 male 56 163.3 60.3 NH White
4861 98844 male 76 174.6 82.7 NH Black
4862 98845 female 50 161.0 77.3 NH Asian
4863 98846 female 47 169.2 83.3 NH White
4864 98847 male 52 177.5 111.3 NH White
4865 98848 female 78 146.6 48.1 NH Asian
4866 98849 male 8 128.8 27.8 NH Asian
4867 98850 male 10 136.7 44.2 Mexican
4868 98851 female 23 160.4 55.7 Other/Mixed
4869 98853 male 73 166.9 69.9 NH White
4870 98854 male 22 167.9 80.9 Mexican
4871 98855 female 5 123.0 25.3 NH Black
4872 98856 female 8 128.5 38.7 NH Black
4873 98857 male 58 165.9 67.0 NH Asian
4874 98858 female 65 164.0 89.9 NH Black
4875 98860 male 8 120.0 24.1 NH White
4876 98861 female 1 NA 10.9 NH Asian
4877 98862 female 6 120.4 26.1 NH White
4878 98863 male 7 NA 50.6 Other/Mixed
4879 98864 male 62 166.7 93.6 NH Asian
4880 98865 male 36 179.5 72.0 NH White
4881 98866 male 19 176.5 65.2 NH White
4882 98867 male 60 174.1 88.5 NH Black
4883 98868 male 20 169.9 67.7 NH Black
4884 98869 male 75 178.7 78.5 NH Asian
4885 98870 female 24 166.4 72.6 NH White
4886 98871 male 8 134.8 27.0 NH Black
4887 98872 female 44 157.3 98.2 NH Black
4888 98873 female 1 NA 12.1 Other/Mixed
4889 98874 female 3 99.0 15.1 NH White
4890 98875 female 9 130.0 24.3 NH Asian
4891 98876 male 22 171.3 64.6 NH Black
4892 98877 male 39 164.1 62.0 NH Asian
4893 98878 female 42 156.9 74.5 Mexican
4894 98879 female 3 106.0 19.5 NH White
4895 98880 male 48 169.6 90.4 Mexican
4896 98881 male 4 107.2 18.3 Other/Mixed
4897 98882 male 1 NA 10.3 NH Black
4898 98883 female 18 158.6 59.1 Mexican
4899 98884 male 76 176.7 90.6 NH White
4900 98885 male 15 169.4 82.0 NH White
4901 98886 male 9 140.3 36.5 NH Asian
4902 98888 female 0 NA 8.5 NH White
4903 98889 female 7 132.0 39.5 Mexican
4904 98890 male 16 166.0 63.5 NH White
4905 98891 female 53 148.1 63.1 Other Hispanic
4906 98892 male 55 177.5 70.8 NH White
4907 98893 male 69 154.8 70.7 Other Hispanic
4908 98894 male 35 183.5 85.7 NH Asian
4909 98895 male 38 176.0 102.0 NH Black
4910 98896 male 16 166.4 119.2 Mexican
4911 98897 male 0 NA 7.6 NH Black
4912 98898 male 80 172.2 81.4 NH White
4913 98899 female 66 157.9 86.4 NH White
4914 98900 male 36 175.7 82.3 NH White
4915 98901 male 65 172.3 103.6 NH Black
4916 98902 female 56 165.2 51.5 NH Asian
4917 98903 female 73 158.8 86.2 Other Hispanic
4918 98904 female 51 157.8 47.5 NH White
4919 98905 male 63 172.6 75.7 NH White
4920 98906 male 33 171.9 70.4 Other Hispanic
4921 98907 male 56 177.2 77.2 Mexican
4922 98908 male 8 140.4 49.4 NH White
4923 98909 male 68 174.4 78.7 Other Hispanic
4924 98910 male 22 179.4 69.5 NH Black
4925 98911 female 9 142.5 36.6 NH Black
4926 98912 male 37 156.9 54.9 NH Black
4927 98913 female 17 163.9 78.4 NH White
4928 98914 female 63 166.1 83.4 NH White
4929 98915 female 6 109.4 17.5 NH White
4930 98916 male 67 176.4 64.2 NH Black
4931 98917 female 56 161.0 74.9 NH White
4932 98918 male 24 166.7 54.4 NH Black
4933 98919 female 14 162.8 81.9 Mexican
4934 98920 male 23 187.0 101.1 NH White
4935 98921 female 26 164.0 104.8 NH White
4936 98922 male 80 181.7 69.0 NH White
4937 98923 female 48 159.8 104.7 NH Black
4938 98924 male 60 177.8 71.0 Other Hispanic
4939 98925 female 21 167.5 106.1 Mexican
4940 98926 female 48 152.6 50.9 NH Asian
4941 98927 female 18 152.6 63.5 NH Black
4942 98928 male 64 153.1 73.5 Mexican
4943 98929 male 62 166.2 96.5 Mexican
4944 98930 female 9 129.8 28.5 Other Hispanic
4945 98931 female 68 156.7 69.7 NH Black
4946 98932 male 45 158.4 88.1 Other Hispanic
4947 98933 female 46 163.7 52.9 NH White
4948 98934 female 80 145.5 59.3 NH White
4949 98935 male 25 171.7 110.3 NH Black
4950 98936 male 27 177.7 61.9 NH White
4951 98937 female 1 NA 10.6 NH Black
4952 98938 female 19 NA NA NH White
4953 98940 female 64 148.7 61.6 Mexican
4954 98941 female 59 146.0 50.2 NH Asian
4955 98942 male 11 153.3 86.1 NH White
4956 98943 male 8 137.1 36.6 Mexican
4957 98944 male 27 178.6 119.9 NH White
4958 98945 male 43 189.7 140.2 NH White
4959 98946 female 65 149.4 73.6 NH White
4960 98947 male 48 164.3 63.2 NH Asian
4961 98948 male 33 181.9 115.6 NH White
4962 98949 male 3 102.8 16.5 NH Black
4963 98950 female 11 138.7 31.7 NH White
4964 98951 female 52 161.4 88.8 NH Black
4965 98952 male 24 165.8 80.0 NH Asian
4966 98953 female 19 158.3 50.3 NH White
4967 98954 female 1 NA 16.7 Mexican
4968 98955 male 21 169.2 91.7 NH White
4969 98956 male 0 NA 6.0 NH White
4970 98957 male 74 163.1 81.6 NH White
4971 98958 female 23 149.0 39.8 NH White
4972 98959 male 75 164.6 72.4 Mexican
4973 98960 male 35 180.5 118.4 NH White
4974 98961 female 77 154.1 52.8 Mexican
4975 98962 female 17 160.9 57.8 Mexican
4976 98963 female 11 155.3 43.3 NH White
4977 98964 male 80 180.7 84.3 NH White
4978 98965 female 67 151.3 92.9 Mexican
4979 98966 female 68 159.8 76.4 NH Asian
4980 98967 female 13 157.8 44.3 NH White
4981 98968 male 33 182.0 119.1 NH White
4982 98969 male 1 NA 11.2 Mexican
4983 98971 female 28 155.6 79.5 NH Black
4984 98972 female 67 166.3 67.2 NH White
4985 98973 female 1 NA 12.5 Other/Mixed
4986 98974 male 9 118.1 26.8 NH Black
4987 98975 male 16 176.8 96.3 NH White
4988 98976 female 57 156.0 59.3 NH Asian
4989 98977 female 67 152.2 59.6 Other Hispanic
4990 98978 male 12 152.5 47.4 Other Hispanic
4991 98979 male 9 133.4 28.5 Other/Mixed
4992 98980 male 54 162.8 83.7 Mexican
4993 98981 male 31 174.2 46.9 NH Black
4994 98982 female 25 158.4 53.8 NH Black
4995 98983 male 57 NA NA NH Black
4996 98984 male 8 126.0 31.2 NH Black
4997 98985 female 31 165.1 51.3 NH Asian
4998 98986 female 14 156.6 50.2 NH White
4999 98988 female 59 157.5 92.8 Mexican
5000 98989 female 76 154.2 100.1 NH White
5001 98990 male 64 NA NA NH White
5002 98992 male 56 173.0 127.6 Mexican
5003 98993 female 1 NA 9.9 NH White
5004 98994 male 30 185.0 116.8 Other/Mixed
5005 98995 female 55 172.2 77.0 Other Hispanic
5006 98996 female 69 158.0 66.4 NH Black
5007 98997 male 73 171.8 67.4 NH Black
5008 98998 female 51 159.2 96.3 NH Black
5009 98999 female 1 NA 11.0 Mexican
5010 99000 male 5 112.2 18.2 NH Black
5011 99001 male 37 166.1 78.4 Other/Mixed
5012 99002 male 73 168.1 88.1 NH Asian
5013 99003 female 17 170.9 76.9 NH White
5014 99004 male 15 161.5 49.0 NH White
5015 99005 female 26 168.1 108.1 NH Black
5016 99006 female 13 149.7 40.5 Other Hispanic
5017 99007 male 26 164.8 74.4 NH White
5018 99008 male 9 127.8 26.7 NH Black
5019 99009 female 38 165.5 74.2 NH White
5020 99010 male 0 NA 6.7 Other/Mixed
5021 99011 male 77 175.0 56.7 NH White
5022 99012 female 51 147.9 58.5 Other Hispanic
5023 99013 female 19 159.2 52.8 Mexican
5024 99014 male 68 173.4 100.5 NH White
5025 99015 male 18 170.1 74.0 Mexican
5026 99016 male 36 175.1 70.1 Other Hispanic
5027 99017 female 2 95.4 17.3 NH White
5028 99018 female 68 161.0 82.8 NH White
5029 99019 female 41 168.4 131.9 Mexican
5030 99020 male 2 86.9 11.8 NH White
5031 99021 male 4 101.5 16.2 NH White
5032 99022 male 16 NA NA NH Asian
5033 99023 male 32 180.0 77.1 NH White
5034 99024 female 38 166.7 64.6 NH Asian
5035 99025 female 45 159.5 56.0 NH White
5036 99026 female 75 161.0 59.9 NH Asian
5037 99027 female 9 143.6 68.1 Mexican
5038 99028 female 42 155.2 84.6 Mexican
5039 99029 male 46 179.1 76.6 NH Black
5040 99030 female 7 120.7 25.7 Mexican
5041 99032 female 11 141.2 29.4 NH Asian
5042 99033 male 56 163.8 75.7 NH White
5043 99035 female 6 122.5 23.1 NH White
5044 99036 male 44 168.8 94.3 NH White
5045 99037 female 14 155.4 52.2 NH Black
5046 99038 female 27 165.0 92.1 NH Black
5047 99039 female 17 172.3 87.5 NH White
5048 99040 male 6 133.9 35.1 Other/Mixed
5049 99041 female 19 NA NA NH White
5050 99042 male 63 174.3 61.1 NH Black
5051 99043 male 18 177.3 73.5 NH White
5052 99044 female 71 160.9 97.7 NH White
5053 99045 female 1 NA 12.1 NH White
5054 99046 female 16 157.8 85.1 NH White
5055 99047 female 80 144.9 46.6 NH White
5056 99048 male 14 156.7 42.4 Mexican
5057 99049 male 6 118.7 21.2 NH Black
5058 99051 female 17 157.7 53.0 NH White
5059 99053 female 9 127.0 25.9 NH Black
5060 99054 female 0 NA 9.3 Mexican
5061 99055 female 11 148.2 42.6 Mexican
5062 99056 female 80 146.1 60.1 NH White
5063 99057 male 61 172.3 76.0 NH Black
5064 99058 female 64 156.2 51.3 NH Asian
5065 99059 female 7 129.6 29.5 NH White
5066 99060 male 55 184.7 140.9 NH White
5067 99061 male 2 92.2 12.5 NH Black
5068 99062 female 29 144.8 57.0 Other Hispanic
5069 99063 male 41 187.8 90.0 NH Black
5070 99064 female 60 162.2 89.0 Other/Mixed
5071 99066 male 19 173.7 81.0 Mexican
5072 99067 male 39 174.0 66.1 NH White
5073 99068 male 76 177.4 67.8 NH Black
5074 99069 female 80 153.5 89.1 NH Black
5075 99070 male 70 175.0 79.0 NH Black
5076 99071 female 12 154.0 51.6 NH White
5077 99072 male 5 116.6 26.1 NH Black
5078 99073 female 6 111.9 23.2 Mexican
5079 99074 male 67 160.8 69.0 Other/Mixed
5080 99075 male 2 92.1 13.0 Mexican
5081 99076 male 10 133.3 34.7 Other/Mixed
5082 99077 male 3 97.9 17.0 Mexican
5083 99078 female 2 98.2 14.7 Other/Mixed
5084 99079 female 7 123.6 37.8 Mexican
5085 99081 male 59 165.6 60.5 NH Black
5086 99083 male 78 175.5 62.3 NH White
5087 99084 female 80 166.6 92.3 NH White
5088 99085 male 8 144.7 62.6 Other/Mixed
5089 99086 male 7 135.0 32.8 NH Black
5090 99087 male 66 149.8 56.6 Other Hispanic
5091 99088 female 7 116.2 26.3 NH Asian
5092 99089 female 25 158.2 61.4 NH Black
5093 99091 male 15 172.8 105.8 Mexican
5094 99093 female 2 86.6 12.3 NH Black
5095 99094 male 8 123.9 25.5 NH Black
5096 99095 female 47 152.9 45.8 NH Asian
5097 99096 female 15 167.9 62.7 NH White
5098 99098 female 39 169.1 83.1 Mexican
5099 99099 female 45 156.3 91.4 Mexican
5100 99100 male 75 172.6 108.8 NH Black
5101 99101 female 80 147.2 67.6 NH Asian
5102 99102 male 50 166.0 81.3 Mexican
5103 99103 male 39 174.8 83.2 NH Asian
5104 99104 female 63 166.9 68.4 NH White
5105 99105 female 39 164.6 63.9 NH Asian
5106 99106 male 6 116.7 24.2 NH Asian
5107 99107 female 16 158.6 54.5 Mexican
5108 99108 male 51 180.8 84.5 NH White
5109 99109 female 5 115.0 23.0 NH Asian
5110 99110 female 20 146.6 43.2 Mexican
5111 99111 female 48 166.3 66.9 NH Black
5112 99112 female 5 117.1 21.3 NH Asian
5113 99114 male 41 167.8 75.9 Other Hispanic
5114 99115 female 2 NA 15.4 Mexican
5115 99116 female 53 160.8 52.4 NH Asian
5116 99117 female 72 155.9 72.9 NH Asian
5117 99118 female 0 NA 8.4 Other Hispanic
5118 99119 female 4 103.7 15.6 NH Asian
5119 99120 male 17 179.1 107.0 NH White
5120 99121 female 20 158.1 82.7 Mexican
5121 99123 male 29 157.0 43.7 NH Asian
5122 99124 male 12 150.6 40.7 NH White
5123 99125 female 20 148.6 48.8 NH Asian
5124 99126 male 12 149.9 62.3 Mexican
5125 99127 female 67 151.6 50.9 NH Asian
5126 99128 male 36 179.6 80.8 NH Black
5127 99130 male 59 176.3 126.4 NH Black
5128 99131 female 56 165.2 143.5 NH White
5129 99132 female 0 NA 5.2 NH White
5130 99133 male 74 166.1 92.5 NH White
5131 99134 male 71 165.8 52.1 NH Black
5132 99135 female 15 165.3 65.1 NH Black
5133 99136 male 40 173.6 80.3 NH Black
5134 99137 male 2 90.4 14.8 NH White
5135 99138 male 31 175.6 73.4 NH Black
5136 99139 female 12 155.4 77.2 Mexican
5137 99140 female 62 164.9 80.1 NH Black
5138 99141 female 9 131.6 25.3 NH Asian
5139 99142 female 7 123.1 29.3 NH White
5140 99143 female 2 90.3 12.8 Other/Mixed
5141 99144 female 78 NA NA NH Black
5142 99145 male 4 108.5 18.7 NH White
5143 99146 male 2 89.4 13.6 Other/Mixed
5144 99147 male 1 NA 12.6 NH White
5145 99148 female 78 155.9 55.8 NH White
5146 99149 female 3 NA NA NH White
5147 99151 female 22 162.2 69.2 NH White
5148 99152 female 72 162.2 121.1 NH White
5149 99153 female 53 165.3 61.8 Other/Mixed
5150 99154 male 24 175.1 94.6 Other/Mixed
5151 99155 male 28 182.1 79.0 NH Black
5152 99156 male 61 157.1 55.3 NH Asian
5153 99157 female 62 154.9 50.4 NH Asian
5154 99158 female 3 97.7 18.5 Mexican
5155 99159 female 57 154.2 60.7 NH White
5156 99160 female 43 165.9 83.1 Other/Mixed
5157 99161 female 0 NA 9.6 NH White
5158 99162 male 0 NA 4.7 NH Black
5159 99163 female 2 78.5 9.5 NH Black
5160 99164 female 9 150.8 52.3 NH White
5161 99165 female 14 165.3 61.8 NH Black
5162 99166 female 10 139.6 29.2 Mexican
5163 99167 female 50 160.4 79.1 NH Black
5164 99168 female 40 152.7 53.5 Other Hispanic
5165 99169 male 60 181.7 79.0 NH Black
5166 99170 female 5 123.0 25.2 NH White
5167 99171 male 37 172.3 84.2 Other Hispanic
5168 99172 male 68 163.5 73.3 NH Black
5169 99173 male 18 169.4 59.1 Mexican
5170 99174 female 65 160.5 82.4 Mexican
5171 99175 male 69 178.3 73.2 NH Black
5172 99176 female 63 147.4 54.8 NH Asian
5173 99177 female 0 NA 5.4 Other Hispanic
5174 99178 male 68 162.0 74.3 NH Black
5175 99179 female 80 158.0 48.1 NH Black
5176 99181 male 29 176.3 74.4 NH White
5177 99182 female 34 167.7 79.7 Other Hispanic
5178 99183 male 68 181.6 113.0 NH Black
5179 99184 male 17 179.8 59.0 NH Asian
5180 99185 male 0 NA 6.5 Other Hispanic
5181 99186 male 26 169.7 91.8 Mexican
5182 99187 male 42 167.3 102.9 NH White
5183 99188 male 80 176.3 78.1 NH White
5184 99189 male 16 186.7 85.2 Other Hispanic
5185 99190 female 53 154.5 63.5 Other Hispanic
5186 99191 female 80 155.8 62.2 NH White
5187 99193 female 44 150.5 84.5 NH Asian
5188 99194 female 30 154.5 75.9 NH Black
5189 99195 male 43 179.5 164.2 NH White
5190 99196 female 1 NA 11.0 NH White
5191 99197 female 28 154.7 54.0 Other Hispanic
5192 99198 female 22 162.5 76.2 Mexican
5193 99199 male 14 173.7 56.4 NH Asian
5194 99200 female 49 159.8 93.8 NH Black
5195 99201 female 18 162.3 66.0 Other/Mixed
5196 99202 female 9 132.5 43.1 NH White
5197 99204 female 65 145.6 60.2 Mexican
5198 99205 female 9 147.1 48.7 Other/Mixed
5199 99206 male 0 NA 6.9 NH White
5200 99207 female 24 150.2 66.7 NH Black
5201 99208 male 41 175.5 89.6 Mexican
5202 99209 female 80 160.0 55.9 NH Asian
5203 99210 male 71 164.9 115.2 NH White
5204 99211 male 17 172.4 76.8 NH Black
5205 99212 male 33 174.9 76.9 NH Black
5206 99213 female 8 134.3 42.1 NH White
5207 99214 male 0 NA 11.7 NH White
5208 99215 male 14 165.9 71.4 NH White
5209 99216 female 2 90.8 17.8 NH White
5210 99217 male 17 175.2 58.4 Other Hispanic
5211 99218 male 9 125.8 30.3 Mexican
5212 99219 male 10 146.9 33.6 NH Asian
5213 99220 female 78 162.5 76.7 NH Black
5214 99221 male 19 174.8 72.1 NH White
5215 99222 female 66 154.0 68.2 NH Black
5216 99223 female 14 159.4 63.5 Mexican
5217 99224 female 46 161.8 94.0 NH Black
5218 99225 female 11 164.4 46.8 Other Hispanic
5219 99226 female 47 157.8 73.6 Other Hispanic
5220 99227 male 52 160.7 79.8 Mexican
5221 99228 female 10 152.5 61.5 NH White
5222 99229 female 19 NA NA NH Black
5223 99230 female 61 164.5 90.4 Other/Mixed
5224 99231 female 37 160.4 76.5 NH White
5225 99232 male 30 176.3 117.8 NH White
5226 99233 female 20 154.6 49.6 Mexican
5227 99234 male 33 173.5 99.3 NH White
5228 99235 female 2 81.6 10.8 NH Black
5229 99236 male 6 122.8 22.9 NH White
5230 99237 female 44 150.3 57.9 NH Asian
5231 99238 female 12 159.3 46.7 Other Hispanic
5232 99239 female 78 153.9 113.6 NH White
5233 99240 female 54 166.7 49.9 NH Black
5234 99241 male 71 171.8 99.4 NH Black
5235 99242 female 46 160.4 69.4 Mexican
5236 99243 male 80 160.1 74.7 Mexican
5237 99245 male 9 145.4 33.6 NH White
5238 99246 female 39 155.0 75.3 NH Black
5239 99247 male 23 174.8 100.8 NH White
5240 99248 male 66 167.4 67.9 NH Asian
5241 99249 female 18 152.7 69.0 NH Asian
5242 99250 female 9 131.6 25.4 NH Asian
5243 99251 male 45 175.0 89.6 NH White
5244 99252 male 2 90.5 13.0 NH Black
5245 99253 female 7 129.9 27.6 NH Asian
5246 99254 male 7 122.5 27.2 Mexican
5247 99255 female 56 156.7 140.5 NH Black
5248 99256 male 69 171.7 85.4 Mexican
5249 99257 female 49 155.0 78.9 Mexican
5250 99258 male 49 189.1 123.0 NH Black
5251 99259 female 80 153.2 51.0 NH Asian
5252 99260 female 48 159.2 100.3 NH White
5253 99261 male 8 144.2 50.1 NH Black
5254 99262 male 63 176.4 79.5 NH Black
5255 99263 female 50 156.0 55.4 NH Asian
5256 99265 female 67 147.8 82.8 Mexican
5257 99266 male 10 140.9 34.4 Other/Mixed
5258 99267 male 1 NA 11.5 Other/Mixed
5259 99268 male 0 NA 9.2 Other/Mixed
5260 99269 male 79 155.9 49.6 NH White
5261 99270 female 62 162.3 80.7 Other/Mixed
5262 99271 female 56 152.9 42.3 NH Asian
5263 99273 female 5 107.3 17.8 Other/Mixed
5264 99274 female 53 162.9 75.8 Other Hispanic
5265 99275 female 18 162.4 71.8 Other Hispanic
5266 99276 male 6 121.9 30.3 Other Hispanic
5267 99277 male 58 167.9 73.3 Mexican
5268 99278 male 35 169.2 85.0 NH Black
5269 99279 female 34 150.7 76.0 Mexican
5270 99280 male 31 182.0 122.2 NH White
5271 99281 male 2 94.4 13.9 NH Black
5272 99282 female 42 162.9 104.8 NH Black
5273 99283 male 68 172.1 75.1 NH Asian
5274 99284 male 37 171.3 54.0 Other Hispanic
5275 99285 female 61 158.3 84.1 Mexican
5276 99286 female 14 163.7 63.6 NH White
5277 99287 male 57 160.1 99.4 Mexican
5278 99289 female 64 152.7 86.9 NH White
5279 99290 male 61 173.7 72.8 NH White
5280 99291 male 42 163.6 83.5 NH Black
5281 99292 male 29 164.9 44.7 NH White
5282 99293 male 75 168.4 63.0 NH Black
5283 99294 male 9 119.9 27.0 Mexican
5284 99295 female 12 146.9 34.9 Mexican
5285 99296 female 77 160.1 53.2 NH White
5286 99297 male 32 168.0 86.3 NH White
5287 99298 female 59 162.8 54.5 Other/Mixed
5288 99299 female 62 155.4 83.5 Mexican
5289 99300 female 44 159.3 70.1 Other Hispanic
5290 99301 male 1 NA 13.0 NH Black
5291 99302 male 14 167.2 42.5 NH White
5292 99303 female 68 164.1 70.9 NH Black
5293 99304 male 29 173.5 101.7 Mexican
5294 99305 male 50 171.6 93.3 Other Hispanic
5295 99306 male 17 173.9 51.1 NH Asian
5296 99307 female 3 92.5 12.1 NH White
5297 99308 male 26 186.0 77.9 NH Black
5298 99309 female 80 161.1 62.9 NH White
5299 99310 female 74 143.9 81.6 Other Hispanic
5300 99311 male 80 172.7 97.5 NH White
5301 99312 male 70 174.2 97.5 NH White
5302 99313 female 64 160.1 63.0 NH White
5303 99314 male 2 88.7 11.5 NH White
5304 99315 male 22 177.5 65.7 NH Black
5305 99316 male 47 171.5 81.1 Mexican
5306 99318 female 28 173.6 64.5 NH Black
5307 99319 male 10 146.8 45.6 Other/Mixed
5308 99320 female 30 160.1 53.6 NH Asian
5309 99321 male 45 174.4 77.4 NH Asian
5310 99322 female 35 155.1 74.9 NH Black
5311 99323 female 10 148.9 45.9 NH Black
5312 99324 female 5 109.0 21.0 NH White
5313 99325 male 16 174.3 58.6 NH Black
5314 99326 male 0 NA 8.5 Other Hispanic
5315 99327 male 59 176.8 119.5 NH Black
5316 99328 male 6 125.7 25.8 Mexican
5317 99329 male 60 159.8 67.7 NH Asian
5318 99330 male 35 178.8 85.0 NH White
5319 99331 female 2 83.6 10.7 NH White
5320 99332 female 63 153.7 81.7 Mexican
5321 99333 female 73 148.1 53.2 NH Asian
5322 99334 male 3 90.3 13.5 Mexican
5323 99335 male 46 174.4 73.0 Other/Mixed
5324 99336 male 0 NA 4.3 NH White
5325 99338 female 37 162.6 70.0 Mexican
5326 99339 female 21 159.4 93.4 Mexican
5327 99340 female 52 161.5 51.5 NH White
5328 99341 female 63 160.9 77.3 NH White
5329 99342 male 6 114.1 18.3 Mexican
5330 99343 female 80 155.9 76.6 NH Black
5331 99344 male 45 180.6 93.9 NH Asian
5332 99345 male 52 167.2 86.7 Mexican
5333 99346 male 26 171.4 68.2 NH Asian
5334 99347 female 14 151.7 66.1 NH Black
5335 99348 female 80 161.5 82.7 NH White
5336 99349 male 37 194.6 183.0 NH White
5337 99351 male 80 171.0 108.0 NH White
5338 99352 female 7 122.9 20.9 Mexican
5339 99353 female 30 168.5 138.9 NH Black
5340 99354 female 19 157.4 115.0 NH White
5341 99355 male 10 151.9 59.5 Other Hispanic
5342 99356 male 3 93.4 13.9 NH Asian
5343 99357 male 0 NA 7.7 NH White
5344 99358 male 43 171.0 68.7 NH Asian
5345 99359 female 37 155.5 69.4 NH Asian
5346 99360 male 8 128.0 22.7 Mexican
5347 99361 male 34 185.4 100.1 NH White
5348 99362 female 2 85.5 14.1 NH White
5349 99363 male 4 106.8 17.6 NH White
5350 99364 male 52 161.7 65.4 Other/Mixed
5351 99365 female 8 146.4 52.7 NH Black
5352 99366 female 47 153.2 95.2 Mexican
5353 99367 male 9 136.7 41.2 Mexican
5354 99368 male 2 86.9 11.7 NH Black
5355 99369 male 13 161.8 56.7 Other Hispanic
5356 99370 female 48 159.4 97.8 NH Black
5357 99371 male 8 149.0 38.9 Other/Mixed
5358 99372 female 67 174.9 58.7 NH White
5359 99373 male 15 168.4 85.5 NH White
5360 99374 female 60 170.8 71.5 NH White
5361 99375 male 2 94.7 14.6 NH White
5362 99376 male 53 172.5 98.7 Other/Mixed
5363 99377 female 80 147.6 63.5 Other Hispanic
5364 99378 female 36 158.2 70.5 Mexican
5365 99379 female 4 99.4 20.3 NH White
5366 99380 female 80 NA NA NH White
5367 99381 female 80 NA NA Other Hispanic
5368 99382 male 7 119.5 22.7 NH Black
5369 99383 female 75 152.4 64.9 NH Black
5370 99385 female 68 164.9 66.1 NH White
5371 99386 male 10 139.4 31.4 Other/Mixed
5372 99387 female 80 162.3 70.2 NH White
5373 99388 female 55 169.1 139.9 NH Black
5374 99389 female 59 159.7 91.9 NH White
5375 99390 female 41 166.7 75.2 Other/Mixed
5376 99391 male 72 161.4 68.9 NH Black
5377 99392 female 48 163.3 59.4 NH Black
5378 99393 male 70 169.9 84.3 Other Hispanic
5379 99394 male 20 173.0 67.8 NH Black
5380 99395 female 8 123.0 31.3 NH Black
5381 99396 female 22 159.7 84.0 Mexican
5382 99398 male 7 127.9 25.3 Other Hispanic
5383 99400 female 26 152.0 74.3 Mexican
5384 99401 female 22 176.9 62.7 NH Asian
5385 99402 male 60 177.9 131.2 NH Black
5386 99403 female 11 153.4 55.6 Mexican
5387 99404 female 34 168.3 70.9 Other Hispanic
5388 99405 male 54 163.7 114.6 Other/Mixed
5389 99406 female 1 NA 9.5 NH White
5390 99407 female 49 155.1 120.0 NH Black
5391 99408 female 2 91.4 14.8 NH White
5392 99409 female 11 149.9 58.4 NH White
5393 99410 female 52 161.6 97.6 NH White
5394 99412 male 70 157.8 70.6 Other Hispanic
5395 99413 male 15 169.3 73.9 NH Asian
5396 99414 female 4 109.5 19.7 Other/Mixed
5397 99415 female 73 157.6 76.3 NH Black
5398 99416 male 45 169.8 70.6 Other Hispanic
5399 99417 male 18 174.8 71.0 NH Asian
5400 99418 female 61 156.5 61.8 NH Black
5401 99419 male 46 168.3 72.9 Mexican
5402 99420 female 51 155.0 81.6 NH Black
5403 99421 male 61 182.0 135.3 NH Black
5404 99422 male 57 175.5 81.9 Other/Mixed
5405 99423 female 1 NA 10.4 Other/Mixed
5406 99424 male 54 167.3 99.1 NH Black
5407 99425 female 57 165.6 97.3 NH Black
5408 99427 female 45 162.8 107.7 NH White
5409 99428 female 19 159.4 55.4 Other Hispanic
5410 99429 female 62 150.0 72.1 NH Black
5411 99430 male 36 175.9 115.1 Mexican
5412 99431 female 48 170.2 84.1 Other/Mixed
5413 99432 male 9 149.9 52.9 NH White
5414 99433 female 2 82.6 10.5 NH White
5415 99434 male 34 170.4 68.4 NH Asian
5416 99435 male 20 181.0 79.1 Other Hispanic
5417 99436 female 22 173.5 100.8 NH Black
5418 99437 female 80 151.0 57.3 NH White
5419 99438 female 41 153.8 69.0 NH Asian
5420 99439 female 34 158.4 50.6 Other/Mixed
5421 99440 female 55 155.3 65.3 NH Asian
5422 99441 female 65 157.4 63.1 Other Hispanic
5423 99442 female 35 159.1 60.9 NH White
5424 99443 male 57 176.1 132.3 NH White
5425 99444 male 52 166.6 98.6 Other/Mixed
5426 99445 male 15 177.8 67.3 NH White
5427 99446 female 29 167.4 71.0 NH White
5428 99447 male 12 149.7 47.5 Other Hispanic
5429 99448 male 49 173.8 74.1 Other/Mixed
5430 99449 male 41 179.4 109.9 NH Black
5431 99450 male 17 181.4 70.4 Other/Mixed
5432 99451 female 17 156.5 123.9 NH Black
5433 99452 female 63 162.2 49.0 NH White
5434 99453 female 29 159.7 61.1 Other Hispanic
5435 99454 male 57 183.0 102.0 NH Black
5436 99455 female 14 158.3 66.4 Mexican
5437 99456 male 26 172.5 72.3 NH Asian
5438 99457 male 40 158.9 63.2 Mexican
5439 99459 female 20 162.1 109.5 Other Hispanic
5440 99460 male 30 163.9 64.7 Other Hispanic
5441 99461 male 61 172.9 70.3 Mexican
5442 99462 male 12 146.0 34.3 NH Asian
5443 99463 female 23 159.1 77.6 Other Hispanic
5444 99464 male 48 169.0 76.7 NH White
5445 99465 female 70 149.3 60.9 Other Hispanic
5446 99466 female 29 146.4 90.1 Other Hispanic
5447 99467 male 11 157.1 64.3 NH White
5448 99468 female 11 151.8 44.0 NH Black
5449 99469 male 59 173.9 109.4 NH White
5450 99470 female 56 163.1 130.8 NH Black
5451 99471 male 19 177.8 101.1 NH Black
5452 99472 male 11 148.5 35.7 NH Black
5453 99473 male 41 179.4 82.5 NH White
5454 99474 female 63 178.8 124.2 NH White
5455 99475 male 60 191.7 110.6 NH Black
5456 99476 female 8 131.7 28.1 Other/Mixed
5457 99477 male 63 182.5 94.8 Mexican
5458 99478 female 1 NA 11.0 Mexican
5459 99479 female 58 146.2 91.4 Mexican
5460 99480 female 13 155.3 36.5 NH Asian
5461 99481 female 32 155.0 64.4 NH White
5462 99482 male 0 NA 6.8 NH Black
5463 99483 male 74 180.8 78.3 NH White
5464 99484 female 51 161.8 109.1 Other Hispanic
5465 99486 male 62 166.0 65.0 NH Asian
5466 99487 male 10 135.1 27.3 NH Black
5467 99488 male 57 168.4 70.3 Mexican
5468 99489 male 51 163.7 77.9 NH Asian
5469 99491 male 18 179.8 81.3 Mexican
5470 99492 male 80 164.0 77.0 NH White
5471 99493 male 9 142.0 27.1 NH White
5472 99494 female 46 157.2 71.0 Mexican
5473 99495 female 43 155.8 49.2 NH White
5474 99496 female 43 151.1 57.9 NH Black
5475 99497 female 56 170.9 75.0 NH Asian
5476 99498 male 32 168.5 82.0 NH Asian
5477 99499 male 70 174.2 80.0 NH Asian
5478 99500 male 61 168.2 66.5 Mexican
5479 99501 female 78 154.9 68.3 NH Black
5480 99502 male 18 173.9 91.7 Mexican
5481 99503 female 61 162.3 114.3 NH Black
5482 99505 female 45 170.4 75.8 NH White
5483 99506 male 69 152.8 91.5 NH Black
5484 99507 female 78 169.9 79.6 NH Black
5485 99508 male 0 NA 8.6 Other/Mixed
5486 99509 female 73 149.4 82.2 NH White
5487 99510 female 35 159.3 43.1 NH Asian
5488 99511 female 55 152.8 76.6 NH White
5489 99512 female 65 171.8 53.8 NH Black
5490 99513 female 36 161.6 80.6 NH Asian
5491 99514 male 73 NA NA NH Black
5492 99515 male 1 NA 10.1 NH White
5493 99516 male 10 140.6 43.7 Mexican
5494 99517 female 39 161.6 82.2 Mexican
5495 99518 male 80 176.9 94.3 NH Black
5496 99519 female 65 164.9 56.4 NH White
5497 99520 female 9 152.2 74.2 NH White
5498 99521 female 77 160.2 85.8 NH Black
5499 99522 male 68 167.1 118.3 Other Hispanic
5500 99523 female 4 106.0 18.0 NH White
5501 99524 male 80 170.9 71.9 Other Hispanic
5502 99525 female 26 171.8 82.6 NH White
5503 99526 female 29 153.2 97.7 NH Asian
5504 99527 male 5 107.4 17.4 Other/Mixed
5505 99528 female 3 101.8 17.1 NH White
5506 99529 male 0 NA 9.2 Mexican
5507 99530 male 3 105.3 35.0 NH White
5508 99531 female 55 162.1 68.6 Mexican
5509 99532 female 63 159.8 61.1 NH Asian
5510 99533 female 73 156.7 65.0 NH White
5511 99534 female 67 155.6 87.1 NH Asian
5512 99535 male 72 169.7 84.4 Mexican
5513 99536 female 36 172.2 126.6 NH Black
5514 99538 male 66 181.2 99.3 NH White
5515 99539 male 22 191.0 149.5 NH Black
5516 99540 male 57 162.1 75.0 Other/Mixed
5517 99541 male 43 179.8 112.7 NH Black
5518 99542 male 12 151.4 40.1 NH White
5519 99543 male 69 173.4 67.7 NH Asian
5520 99544 male 12 168.2 50.9 NH White
5521 99545 male 29 163.9 84.7 Mexican
5522 99546 male 2 83.2 11.4 NH White
5523 99547 male 19 172.8 77.7 NH White
5524 99548 male 66 173.6 78.9 Mexican
5525 99549 female 14 156.5 58.3 Other/Mixed
5526 99550 male 5 122.7 26.4 NH White
5527 99551 male 9 124.0 31.4 Other Hispanic
5528 99552 female 18 171.2 112.0 NH Black
5529 99553 male 10 137.4 27.2 NH Asian
5530 99554 male 72 170.5 95.6 NH White
5531 99555 female 10 146.2 39.4 NH White
5532 99556 female 62 157.5 NA NH White
5533 99558 female 5 114.8 19.4 Other/Mixed
5534 99559 female 14 147.1 82.3 Other Hispanic
5535 99560 female 7 122.4 25.6 Mexican
5536 99561 female 9 130.9 32.9 NH White
5537 99562 male 6 115.0 21.3 NH Black
5538 99563 male 52 178.2 92.5 NH Black
5539 99564 female 76 158.8 59.5 Other Hispanic
5540 99565 male 80 172.7 80.0 NH Black
5541 99566 female 0 NA 5.6 Other/Mixed
5542 99567 male 16 166.9 55.3 NH Asian
5543 99568 female 52 155.8 45.7 Other Hispanic
5544 99569 female 8 123.3 24.5 Other/Mixed
5545 99570 male 10 145.8 45.7 NH Asian
5546 99571 female 11 146.0 65.2 NH White
5547 99573 male 25 174.6 74.3 NH Black
5548 99574 male 63 185.7 115.1 NH White
5549 99575 female 74 155.1 73.5 NH White
5550 99576 male 7 118.5 25.0 Mexican
5551 99577 female 27 166.1 84.2 NH White
5552 99578 male 10 141.2 48.7 NH White
5553 99579 male 17 180.0 72.6 NH White
5554 99580 male 66 167.3 74.9 NH White
5555 99581 female 8 137.8 30.8 Other Hispanic
5556 99582 male 9 144.7 60.3 NH Black
5557 99583 female 23 158.7 51.7 NH White
5558 99584 male 21 168.9 86.7 Mexican
5559 99585 male 35 181.9 92.5 NH Black
5560 99586 female 9 134.0 30.2 Mexican
5561 99587 male 17 176.1 93.0 Mexican
5562 99588 female 12 161.2 68.0 NH Black
5563 99589 male 56 184.3 120.6 NH Black
5564 99590 female 54 164.2 96.9 NH White
5565 99591 female 13 160.8 49.7 NH Black
5566 99592 female 4 106.7 16.8 NH Asian
5567 99593 male 34 178.4 71.2 Other/Mixed
5568 99594 female 8 130.6 42.7 Mexican
5569 99596 male 48 167.0 79.1 NH Asian
5570 99597 male 80 167.4 87.0 NH White
5571 99598 male 10 141.0 50.2 Other Hispanic
5572 99599 female 48 180.4 90.6 NH White
5573 99600 female 55 153.0 68.8 NH Black
5574 99601 female 10 144.7 53.0 Other/Mixed
5575 99602 female 64 155.5 101.1 Mexican
5576 99603 male 70 170.6 102.9 NH White
5577 99604 male 80 161.6 64.2 NH White
5578 99605 male 46 179.1 135.4 NH White
5579 99606 female 70 152.2 107.2 Mexican
5580 99607 female 8 138.3 42.8 NH Black
5581 99608 female 10 144.8 51.0 NH White
5582 99609 male 46 182.9 141.3 NH Black
5583 99610 male 65 166.0 95.5 Other Hispanic
5584 99611 female 13 151.0 52.6 NH Black
5585 99612 male 3 NA 15.4 Mexican
5586 99613 male 38 179.4 88.9 NH Black
5587 99614 male 17 155.3 71.4 NH Asian
5588 99615 female 63 160.6 115.4 NH White
5589 99616 female 39 168.0 179.2 NH White
5590 99617 male 15 179.5 65.4 NH Black
5591 99618 male 46 177.3 64.0 NH Black
5592 99619 male 50 159.9 76.1 Mexican
5593 99621 male 63 162.7 69.7 Mexican
5594 99622 female 61 165.3 96.7 NH White
5595 99623 male 1 NA 8.8 NH White
5596 99624 male 45 184.5 92.7 NH White
5597 99625 male 68 176.5 88.2 NH White
5598 99626 female 2 90.3 12.0 NH Black
5599 99627 male 5 117.2 18.9 NH White
5600 99628 female 52 162.2 56.2 Mexican
5601 99629 female 14 165.8 99.1 NH Black
5602 99630 male 73 180.2 101.5 NH White
5603 99631 male 40 168.1 63.3 NH Asian
5604 99632 male 18 189.4 71.4 NH White
5605 99633 male 60 181.2 120.6 Mexican
5606 99634 female 1 NA 11.1 Other Hispanic
5607 99635 female 65 152.5 96.2 NH Black
5608 99636 female 53 157.1 121.3 Mexican
5609 99637 male 30 178.5 86.5 NH Asian
5610 99638 male 1 NA 10.0 NH Asian
5611 99639 female 16 167.5 60.4 NH Black
5612 99640 male 6 119.7 31.0 Other Hispanic
5613 99641 male 23 187.2 79.4 NH Black
5614 99643 female 80 151.4 53.9 NH White
5615 99645 female 80 151.4 69.4 NH Black
5616 99647 male 76 165.0 77.5 NH White
5617 99648 female 6 121.6 24.4 NH White
5618 99649 female 7 121.6 24.1 NH Black
5619 99650 female 4 99.1 15.6 Other/Mixed
5620 99651 male 8 130.1 22.2 NH White
5621 99652 male 1 NA 10.2 NH Asian
5622 99653 male 53 160.6 70.7 Other Hispanic
5623 99654 male 5 109.5 18.3 NH White
5624 99655 male 38 172.2 80.0 NH Black
5625 99656 female 5 106.7 19.3 NH Asian
5626 99657 female 5 115.7 22.3 NH White
5627 99658 female 66 151.5 83.3 Mexican
5628 99659 female 41 158.0 61.5 NH Asian
5629 99660 male 75 NA NA NH White
5630 99661 female 48 158.3 62.0 NH Black
5631 99662 female 65 164.9 98.2 NH Black
5632 99663 male 15 184.4 59.1 NH White
5633 99664 female 4 113.0 19.8 NH White
5634 99665 female 46 152.0 69.4 NH Asian
5635 99666 male 4 107.2 20.4 Other/Mixed
5636 99667 male 3 91.9 15.4 Mexican
5637 99668 male 63 179.2 89.1 NH Black
5638 99669 female 11 148.3 43.5 Other Hispanic
5639 99670 male 66 174.2 96.3 NH Black
5640 99671 female 8 150.0 43.2 NH Black
5641 99672 female 32 157.6 59.5 NH Asian
5642 99673 female 2 88.0 12.6 NH White
5643 99674 male 71 167.6 85.2 NH White
5644 99675 female 53 151.3 103.3 NH White
5645 99676 female 51 154.1 60.8 Other Hispanic
5646 99677 male 14 175.9 57.7 NH Black
5647 99678 female 38 159.6 63.1 NH Asian
5648 99679 male 61 172.9 90.1 Other Hispanic
5649 99680 male 62 174.4 72.5 NH Black
5650 99681 female 13 169.5 77.1 NH White
5651 99682 male 80 178.3 82.1 NH White
5652 99683 female 80 147.0 73.3 NH White
5653 99684 female 64 144.1 49.7 NH Asian
5654 99686 male 40 188.6 78.9 NH Black
5655 99687 male 8 127.4 24.4 NH White
5656 99688 male 7 123.1 20.9 NH Asian
5657 99689 male 28 180.9 77.4 NH White
5658 99690 female 10 150.8 50.7 NH Black
5659 99691 female 44 166.0 64.9 Mexican
5660 99692 male 3 100.0 14.7 NH White
5661 99693 female 0 NA 8.5 Mexican
5662 99694 male 48 176.3 101.8 NH White
5663 99695 female 37 161.7 127.9 NH White
5664 99696 female 14 160.3 53.4 Other Hispanic
5665 99697 female 18 159.1 82.1 Mexican
5666 99698 female 74 163.5 93.0 NH Black
5667 99699 male 15 159.9 84.3 Mexican
5668 99700 male 70 159.3 65.0 NH White
5669 99701 male 1 NA 8.7 Mexican
5670 99702 male 65 183.7 68.2 NH Black
5671 99703 female 80 155.7 61.1 NH White
5672 99704 male 3 105.7 30.2 Other Hispanic
5673 99705 female 40 159.1 90.2 Other Hispanic
5674 99706 female 12 149.8 35.5 Mexican
5675 99708 female 63 165.5 73.3 Other Hispanic
5676 99709 male 26 179.8 74.7 NH Asian
5677 99710 female 30 163.3 58.2 Other/Mixed
5678 99711 female 58 160.7 72.3 NH Asian
5679 99712 male 9 130.0 28.2 Other/Mixed
5680 99713 male 14 173.1 52.6 NH White
5681 99714 female 35 157.8 92.7 NH White
5682 99715 female 24 160.5 122.1 NH Black
5683 99716 male 35 162.8 77.1 Mexican
5684 99717 female 60 157.7 72.8 NH Black
5685 99718 female 10 149.5 48.3 NH White
5686 99719 female 60 162.8 52.0 Other/Mixed
5687 99720 male 53 176.7 80.2 NH Asian
5688 99721 female 20 174.0 74.8 NH Black
5689 99722 female 2 90.4 14.4 Mexican
5690 99723 male 10 160.8 91.6 Other/Mixed
5691 99724 male 56 175.5 84.5 NH White
5692 99725 male 1 NA 12.8 NH White
5693 99726 female 77 154.8 61.1 NH White
5694 99727 female 78 167.3 71.5 NH White
5695 99728 female 15 160.9 58.4 Other Hispanic
5696 99729 male 10 145.7 41.4 Other/Mixed
5697 99730 male 9 145.6 31.4 NH Black
5698 99731 male 4 109.5 21.4 NH Black
5699 99732 female 13 164.3 65.5 NH White
5700 99733 female 3 89.0 11.9 Other/Mixed
5701 99734 male 8 128.8 23.3 NH Asian
5702 99735 male 15 181.0 72.4 Other/Mixed
5703 99736 male 62 175.8 96.9 NH Black
5704 99737 female 14 157.8 77.9 NH Black
5705 99738 male 7 130.3 27.0 NH Black
5706 99739 male 17 179.3 57.5 NH Black
5707 99740 male 64 164.7 59.4 NH White
5708 99741 male 80 171.0 83.1 NH White
5709 99742 male 79 173.3 100.5 Other/Mixed
5710 99743 female 80 150.7 71.1 NH White
5711 99744 female 51 172.3 67.0 NH White
5712 99745 male 33 164.7 87.6 NH Asian
5713 99746 female 2 96.7 14.3 NH White
5714 99747 female 80 148.0 79.0 NH White
5715 99748 female 0 NA 5.2 NH White
5716 99749 female 33 176.6 123.3 NH Black
5717 99750 female 0 NA 4.2 Mexican
5718 99751 female 27 164.0 90.8 NH White
5719 99752 male 1 NA 10.2 NH Black
5720 99753 female 9 142.6 32.6 NH Black
5721 99754 male 36 167.2 79.6 NH White
5722 99755 male 0 NA 6.7 NH White
5723 99756 female 5 122.4 28.2 Mexican
5724 99757 female 18 154.6 47.7 Other Hispanic
5725 99758 female 80 160.3 71.4 NH White
5726 99759 male 50 166.1 105.3 Mexican
5727 99760 male 67 181.4 123.4 NH Black
5728 99761 female 20 158.8 51.4 Other Hispanic
5729 99762 female 55 170.5 81.7 Mexican
5730 99763 female 54 154.6 57.7 Mexican
5731 99765 female 46 160.0 66.6 Mexican
5732 99766 male 49 167.7 70.9 NH Asian
5733 99767 female 2 87.4 12.9 NH White
5734 99768 female 28 166.4 120.0 NH White
5735 99769 female 15 153.6 56.3 Other Hispanic
5736 99770 male 16 162.4 55.3 Other/Mixed
5737 99771 female 19 160.4 59.1 Other/Mixed
5738 99772 female 43 161.0 133.0 NH Black
5739 99773 male 16 171.9 100.6 Other/Mixed
5740 99774 female 80 NA NA NH Asian
5741 99776 male 71 180.9 119.9 Mexican
5742 99777 male 21 190.1 102.1 NH White
5743 99778 male 46 175.6 69.2 Other/Mixed
5744 99779 female 41 NA NA Mexican
5745 99781 male 4 110.7 20.8 NH White
5746 99782 female 53 163.2 62.8 Mexican
5747 99783 male 35 165.0 92.9 Mexican
5748 99784 male 3 NA 19.5 NH White
5749 99785 female 80 153.7 81.8 NH White
5750 99786 male 44 181.6 99.4 NH White
5751 99787 female 0 NA 3.9 Other Hispanic
5752 99788 male 17 178.1 60.3 NH White
5753 99789 male 0 NA 8.9 NH White
5754 99790 male 24 178.2 78.7 NH Asian
5755 99791 male 8 127.8 37.1 NH Asian
5756 99792 male 69 168.1 77.0 Other/Mixed
5757 99793 female 26 164.3 78.2 NH White
5758 99795 female 21 153.3 122.1 Other Hispanic
5759 99797 male 65 177.2 54.8 NH White
5760 99798 male 29 176.9 114.9 NH White
5761 99799 female 16 163.8 66.0 Other Hispanic
5762 99800 male 18 172.0 89.5 Other Hispanic
5763 99802 female 12 155.8 52.1 Other/Mixed
5764 99803 female 13 161.2 58.0 NH Asian
5765 99804 male 61 181.6 95.8 NH White
5766 99805 male 0 NA 9.3 NH White
5767 99806 female 70 145.1 76.3 Other Hispanic
5768 99807 male 27 168.2 76.9 Mexican
5769 99808 female 39 158.7 77.0 Other Hispanic
5770 99809 female 2 95.0 17.9 Mexican
5771 99810 male 13 160.8 54.2 Mexican
5772 99811 female 48 149.8 76.5 Mexican
5773 99812 male 9 139.1 39.0 Other/Mixed
5774 99813 male 48 173.3 77.5 NH Asian
5775 99815 female 71 163.4 121.1 NH Black
5776 99816 female 55 152.8 97.2 NH White
5777 99817 female 57 165.3 72.5 NH Black
5778 99818 male 11 149.1 53.3 NH Black
5779 99819 male 50 175.7 89.8 NH White
5780 99820 male 80 154.2 62.1 NH White
5781 99822 female 28 166.2 52.4 NH Asian
5782 99823 male 4 100.4 15.7 Mexican
5783 99824 female 33 165.1 63.6 NH Asian
5784 99825 male 67 183.3 109.2 NH Black
5785 99826 male 16 186.4 119.8 NH White
5786 99827 female 3 101.9 15.9 NH White
5787 99828 female 16 155.5 39.3 NH Asian
5788 99829 male 13 156.4 57.2 Other/Mixed
5789 99830 male 18 175.7 71.8 NH Asian
5790 99831 male 58 171.4 92.2 NH Black
5791 99832 male 1 NA 12.5 NH White
5792 99833 male 70 161.6 69.6 NH White
5793 99834 male 44 167.2 59.2 NH Asian
5794 99836 male 13 170.7 62.2 NH Black
5795 99837 male 5 112.1 18.5 NH Black
5796 99838 female 48 152.4 83.7 NH White
5797 99839 male 42 178.9 97.5 NH Black
5798 99840 female 74 159.0 64.1 Other Hispanic
5799 99841 male 21 155.4 71.7 NH Asian
5800 99842 male 47 177.6 98.9 NH White
5801 99843 female 1 NA 11.8 Other Hispanic
5802 99844 male 45 176.0 120.7 NH Black
5803 99845 male 6 121.8 23.1 NH Asian
5804 99846 male 2 94.4 14.4 NH White
5805 99848 female 39 170.9 69.4 NH White
5806 99849 male 3 95.7 15.4 Mexican
5807 99850 male 4 105.1 17.9 NH White
5808 99851 female 71 150.4 57.9 NH Asian
5809 99852 female 21 169.3 85.8 NH Black
5810 99853 male 14 179.5 83.6 Other/Mixed
5811 99854 female 69 163.8 105.7 NH White
5812 99855 male 34 167.3 108.9 NH Black
5813 99856 male 54 166.9 85.8 NH Black
5814 99857 female 36 153.3 86.6 Mexican
5815 99858 male 58 182.4 136.6 NH White
5816 99859 male 4 107.7 17.9 NH White
5817 99861 female 30 164.6 56.2 NH Asian
5818 99862 male 1 NA 10.8 Other/Mixed
5819 99864 female 36 168.3 124.3 NH White
5820 99866 male 61 179.2 150.9 NH White
5821 99867 male 29 166.9 66.4 NH White
5822 99868 female 70 153.3 92.5 NH White
5823 99869 male 24 174.3 77.4 NH White
5824 99870 male 80 174.7 96.3 NH White
5825 99871 female 25 161.6 99.5 Mexican
5826 99872 female 31 165.5 88.5 NH White
5827 99873 male 49 161.4 67.8 NH Asian
5828 99874 male 60 161.1 62.0 NH Asian
5829 99875 female 15 156.2 102.1 NH Black
5830 99876 male 25 180.9 100.3 NH White
5831 99877 male 7 128.8 31.2 Mexican
5832 99879 female 27 159.0 49.7 NH Black
5833 99880 male 9 143.7 42.6 NH Black
5834 99881 female 55 165.8 56.0 NH Asian
5835 99882 female 13 159.2 60.4 NH Black
5836 99883 male 51 169.4 83.7 Other Hispanic
5837 99884 male 64 174.2 95.8 NH White
5838 99885 female 30 177.7 75.7 NH Black
5839 99886 female 63 164.1 68.3 NH White
5840 99887 female 27 170.7 76.1 NH White
5841 99889 female 8 126.6 25.8 Mexican
5842 99890 female 68 158.1 99.0 NH White
5843 99891 female 36 161.6 53.7 NH White
5844 99892 female 19 165.4 58.0 NH White
5845 99893 female 41 159.0 76.9 NH Black
5846 99894 male 32 159.2 73.7 Mexican
5847 99895 male 73 162.8 90.2 Other Hispanic
5848 99896 male 47 163.4 79.9 Other Hispanic
5849 99897 female 6 113.9 20.2 NH White
5850 99898 male 33 187.2 142.4 NH White
5851 99899 male 59 174.7 94.8 NH White
5852 99900 male 50 173.2 76.8 NH Black
5853 99901 female 36 159.2 110.7 NH Black
5854 99902 male 12 165.9 85.1 Other Hispanic
5855 99903 male 5 106.0 14.7 NH Asian
5856 99905 male 45 174.2 90.3 NH Black
5857 99907 female 66 149.5 58.5 NH White
5858 99908 female 63 159.1 80.1 Mexican
5859 99909 male 42 175.3 85.4 Other Hispanic
5860 99910 female 30 156.4 56.4 NH White
5861 99911 female 14 156.8 60.4 Mexican
5862 99912 male 12 168.7 74.1 Mexican
5863 99913 male 74 177.0 109.0 Other Hispanic
5864 99914 female 70 157.1 85.1 NH Black
5865 99915 male 16 175.4 64.9 NH Asian
5866 99916 male 5 NA NA Mexican
5867 99917 female 10 150.1 40.1 Mexican
5868 99918 female 33 160.4 67.2 NH Asian
5869 99919 male 80 176.8 63.9 NH Black
5870 99920 female 36 172.7 84.6 NH White
5871 99921 female 14 157.6 69.9 NH White
5872 99922 male 63 182.0 96.0 NH White
5873 99923 male 6 125.9 24.4 NH White
5874 99924 female 21 157.0 52.4 NH Asian
5875 99925 male 38 173.0 82.9 Other Hispanic
5876 99926 female 54 160.6 83.9 Mexican
5877 99927 male 25 152.1 110.1 Mexican
5878 99928 male 29 168.7 128.0 Mexican
5879 99929 male 39 187.8 95.9 NH White
5880 99930 female 63 158.5 53.9 NH Asian
5881 99931 female 20 155.4 58.1 NH Asian
5882 99932 male 31 168.8 78.2 Mexican
5883 99933 male 17 181.3 141.7 NH Black
5884 99934 female 26 165.6 157.4 NH White
5885 99935 female 42 170.2 91.0 Mexican
5886 99936 male 0 NA 7.8 NH White
5887 99937 female 54 152.3 63.8 Other Hispanic
5888 99938 female 37 161.6 51.5 NH Black
5889 99939 female 39 160.5 62.1 NH Black
5890 99940 male 8 129.9 41.5 NH Black
5891 99941 female 56 160.2 85.1 NH Asian
5892 99942 female 35 158.2 67.3 Mexican
5893 99943 male 11 141.0 57.4 Other Hispanic
5894 99944 male 9 135.6 43.4 NH Black
5895 99945 female 74 153.4 54.6 NH Asian
5896 99946 male 0 NA 10.6 NH Black
5897 99947 female 56 163.9 90.9 NH Black
5898 99948 female 80 156.2 59.3 NH White
5899 99949 female 21 154.6 80.8 NH Asian
5900 99950 male 80 179.6 93.6 NH Black
5901 99951 female 38 157.9 67.4 Other Hispanic
5902 99952 male 61 175.8 95.5 NH White
5903 99953 male 73 176.3 84.1 NH Black
5904 99954 male 71 159.6 57.1 NH Asian
5905 99956 female 4 108.0 20.8 Mexican
5906 99958 male 3 101.4 17.4 NH White
5907 99959 male 48 171.9 112.0 NH Black
5908 99960 female 11 154.0 46.1 NH Black
5909 99961 female 39 164.0 65.4 NH Asian
5910 99963 male 0 NA 8.7 Mexican
5911 99964 female 21 167.4 79.1 Mexican
5912 99965 male 5 123.9 29.4 Other/Mixed
5913 99966 female 46 153.5 55.7 NH Asian
5914 99967 female 14 157.7 59.5 Other/Mixed
5915 99968 female 19 155.4 85.1 NH White
5916 99969 male 69 178.4 94.6 NH Black
5917 99970 male 16 157.7 32.8 Other Hispanic
5918 99971 male 17 173.9 75.1 NH White
5919 99972 female 13 155.6 50.1 NH White
5920 99973 male 14 172.4 69.9 NH White
5921 99974 female 26 163.8 54.6 NH White
5922 99975 male 11 169.8 84.6 NH White
5923 99976 female 11 146.9 37.1 NH White
5924 99977 female 77 158.3 94.9 NH Black
5925 99978 male 3 98.4 17.7 Other Hispanic
5926 99979 female 80 150.6 45.6 NH Asian
5927 99980 female 8 136.0 27.7 Other Hispanic
5928 99981 female 4 98.4 15.9 NH White
5929 99982 male 17 175.1 63.4 NH White
5930 99983 female 33 171.6 150.6 NH Black
5931 99984 female 54 164.9 87.7 Other Hispanic
5932 99985 female 37 165.5 67.5 NH White
5933 99986 female 31 162.3 101.9 Mexican
5934 99987 male 58 161.4 86.3 NH Asian
5935 99988 male 18 174.9 91.9 NH White
5936 99989 female 21 166.1 89.2 Mexican
5937 99990 male 80 172.1 97.7 NH White
5938 99991 male 64 163.6 69.6 NH Black
5939 99992 female 61 168.8 105.8 NH Black
5940 99994 female 48 149.5 64.9 Mexican
5941 99995 female 14 170.3 55.2 NH Black
5942 99996 female 51 164.2 84.6 NH Black
5943 99997 female 64 149.2 61.8 Mexican
5944 99998 female 10 149.5 38.6 Mexican
5945 99999 male 25 180.4 94.2 Mexican
5946 100000 female 21 156.0 73.9 NH Black
5947 100001 male 39 176.4 96.0 NH White
5948 100002 female 9 137.5 44.5 NH Black
5949 100003 female 19 165.0 62.5 Other Hispanic
5950 100004 female 65 159.2 60.2 Other Hispanic
5951 100005 male 0 NA 8.3 NH Black
5952 100006 female 9 127.1 25.5 Mexican
5953 100007 female 63 179.8 78.2 NH Black
5954 100008 female 56 156.5 73.3 NH Asian
5955 100009 female 19 153.5 86.5 NH White
5956 100010 male 80 170.5 NA NH White
5957 100011 female 6 115.3 16.4 NH Asian
5958 100012 male 51 170.2 130.7 NH White
5959 100013 female 43 153.6 59.0 NH Asian
5960 100014 female 19 155.9 57.5 NH Asian
5961 100015 male 27 171.8 69.8 NH White
5962 100016 male 36 167.4 82.8 NH Asian
5963 100017 male 14 161.8 56.5 NH White
5964 100018 male 22 178.0 66.9 NH White
5965 100019 male 22 172.8 57.7 NH Black
5966 100020 male 65 177.0 118.7 NH White
5967 100021 female 11 142.2 38.4 NH White
5968 100022 male 13 168.9 52.8 NH White
5969 100024 female 39 170.1 91.2 NH White
5970 100025 female 35 167.4 148.9 NH White
5971 100026 female 22 161.0 75.4 Other/Mixed
5972 100027 female 0 NA 7.5 NH Black
5973 100028 female 2 100.6 14.3 NH Black
5974 100029 female 20 154.8 54.3 Mexican
5975 100031 male 8 118.9 22.2 NH White
5976 100032 female 27 152.5 48.0 NH Asian
5977 100033 female 62 159.4 71.2 Mexican
5978 100034 female 0 NA 8.0 NH Black
5979 100035 female 18 149.3 54.5 NH Black
5980 100036 male 4 107.3 19.9 NH Asian
5981 100037 male 54 171.1 86.8 Mexican
5982 100038 male 11 146.8 51.4 NH White
5983 100039 male 28 171.7 68.3 NH White
5984 100040 male 24 181.0 112.3 Other/Mixed
5985 100041 male 47 181.6 89.5 NH White
5986 100042 female 16 158.3 103.8 NH Black
5987 100043 female 67 159.1 108.4 NH Black
5988 100044 male 27 176.4 73.7 Mexican
5989 100045 female 2 85.2 11.2 Other Hispanic
5990 100046 male 51 177.3 107.6 Other/Mixed
5991 100047 male 42 173.2 79.0 NH Black
5992 100048 male 12 159.1 67.6 NH White
5993 100049 female 13 150.2 42.9 Other Hispanic
5994 100050 male 15 170.6 63.8 Other Hispanic
5995 100051 male 66 178.1 136.2 NH White
5996 100052 female 8 146.5 39.6 NH Black
5997 100053 female 77 148.8 58.5 NH Asian
5998 100054 female 10 131.8 26.9 Other/Mixed
5999 100055 female 47 153.1 76.0 NH Asian
6000 100056 male 57 189.5 132.5 Mexican
6001 100057 female 9 140.7 34.0 NH White
6002 100058 male 8 129.4 30.2 NH White
6003 100061 female 55 162.1 54.4 NH Asian
6004 100062 female 48 147.3 61.1 NH Asian
6005 100063 female 6 111.1 19.0 NH White
6006 100064 female 71 164.8 62.9 Other Hispanic
6007 100065 male 14 156.6 50.8 NH Black
6008 100066 male 9 132.4 26.0 NH White
6009 100067 male 69 174.2 135.1 NH White
6010 100068 female 22 154.5 57.8 NH White
6011 100069 female 20 146.7 53.1 NH Asian
6012 100070 female 28 162.2 59.2 NH White
6013 100071 male 71 169.1 71.1 NH White
6014 100072 female 33 155.2 49.8 Mexican
6015 100073 male 18 176.9 70.6 Other/Mixed
6016 100077 female 32 159.8 82.2 Mexican
6017 100079 female 80 151.5 56.4 NH White
6018 100080 male 5 118.0 22.5 NH Black
6019 100082 female 18 166.4 200.9 Other/Mixed
6020 100083 female 80 152.0 51.6 NH White
6021 100084 female 0 NA 4.8 Mexican
6022 100085 male 64 179.4 95.7 NH White
6023 100086 male 1 NA 12.8 Other/Mixed
6024 100087 female 30 157.8 91.2 NH White
6025 100088 male 75 168.4 78.3 Mexican
6026 100089 female 24 154.5 50.1 NH White
6027 100090 female 24 153.8 63.3 Mexican
6028 100091 male 1 NA 13.8 Mexican
6029 100092 male 22 189.9 93.1 Other/Mixed
6030 100093 male 7 132.5 28.2 NH White
6031 100094 female 66 154.8 113.0 NH Black
6032 100095 female 27 167.6 94.4 Other Hispanic
6033 100096 female 15 153.2 39.5 Other/Mixed
6034 100097 male 11 124.3 22.8 NH Black
6035 100098 male 61 181.9 117.3 NH Black
6036 100099 male 45 179.1 100.6 NH White
6037 100100 male 32 185.8 78.0 NH Black
6038 100101 female 14 157.8 45.7 NH Black
6039 100102 male 41 171.3 95.5 NH Asian
6040 100103 male 61 176.2 103.9 Other Hispanic
6041 100104 male 1 NA 14.3 NH White
6042 100105 female 50 156.8 134.1 NH Black
6043 100106 male 10 136.1 29.7 NH Black
6044 100107 male 23 170.0 51.8 NH Black
6045 100108 female 27 173.8 71.5 NH White
6046 100109 male 1 NA 12.4 NH White
6047 100110 male 26 176.2 76.0 NH Black
6048 100111 male 26 175.6 69.0 Mexican
6049 100112 female 57 155.7 50.6 Other Hispanic
6050 100113 male 79 169.2 96.7 NH White
6051 100114 male 79 163.8 73.8 NH White
6052 100115 female 47 159.6 72.4 NH White
6053 100116 female 63 154.1 58.7 Other Hispanic
6054 100117 female 29 154.9 64.6 NH Asian
6055 100118 male 78 164.0 72.7 NH Black
6056 100119 female 47 162.5 116.1 NH White
6057 100120 male 1 NA 9.5 NH White
6058 100121 female 2 91.2 14.3 Mexican
6059 100122 male 65 182.1 93.3 NH Black
6060 100123 male 57 166.0 102.4 NH White
6061 100124 female 5 102.2 17.2 NH Asian
6062 100125 female 6 119.5 23.9 NH Black
6063 100126 male 4 106.5 17.5 Other/Mixed
6064 100127 male 55 169.3 96.0 Other Hispanic
6065 100128 male 47 178.1 133.4 NH White
6066 100129 male 72 164.4 85.1 Mexican
6067 100130 male 10 146.5 77.9 NH Black
6068 100131 female 11 149.6 29.5 Mexican
6069 100132 female 17 162.4 51.1 NH Black
6070 100133 male 20 187.1 59.9 NH White
6071 100134 female 14 164.7 62.6 Other/Mixed
6072 100135 male 10 146.0 42.9 Other/Mixed
6073 100136 male 67 NA 112.7 NH White
6074 100137 female 43 158.3 89.7 Other Hispanic
6075 100138 female 1 NA 9.9 Other Hispanic
6076 100139 male 14 177.5 52.7 NH Black
6077 100140 female 10 153.8 44.0 NH Black
6078 100141 male 17 177.1 76.7 NH White
6079 100142 male 72 179.6 77.8 NH White
6080 100143 female 80 152.0 84.1 NH White
6081 100144 female 33 156.9 78.7 Other Hispanic
6082 100145 female 45 159.5 69.3 Other Hispanic
6083 100146 male 6 121.8 20.7 NH Asian
6084 100147 female 6 123.2 34.2 Mexican
6085 100148 female 22 170.6 61.2 Other Hispanic
6086 100149 female 80 158.2 49.6 NH White
6087 100150 female 51 153.3 66.9 Mexican
6088 100151 male 60 173.3 106.5 Mexican
6089 100152 female 34 157.6 73.6 NH Black
6090 100153 male 17 177.6 149.1 NH Black
6091 100154 male 66 166.8 83.8 Mexican
6092 100155 male 4 105.7 20.7 NH White
6093 100157 female 5 123.8 37.3 NH Black
6094 100158 male 61 169.7 100.7 NH Black
6095 100159 male 6 125.9 25.0 NH Black
6096 100160 female 26 150.6 75.8 NH White
6097 100161 female 7 125.6 36.9 NH White
6098 100162 female 64 144.8 51.7 Other Hispanic
6099 100163 female 69 166.8 83.6 NH Black
6100 100164 male 1 NA 10.6 Mexican
6101 100165 male 56 171.1 71.9 NH White
6102 100167 male 75 167.6 67.0 Mexican
6103 100168 male 51 166.3 75.6 Other Hispanic
6104 100169 female 2 NA NA NH Asian
6105 100170 female 14 166.2 57.0 Mexican
6106 100171 female 28 158.2 70.7 Mexican
6107 100172 female 42 162.1 83.1 NH White
6108 100173 male 47 180.6 87.1 NH White
6109 100174 female 17 162.5 64.2 Mexican
6110 100175 male 33 180.2 87.8 NH Black
6111 100177 female 10 142.4 27.1 NH White
6112 100178 female 40 155.8 77.6 NH White
6113 100179 male 5 103.9 16.4 NH Black
6114 100180 male 45 187.6 116.2 NH Black
6115 100181 female 37 158.1 91.8 Mexican
6116 100182 male 5 107.0 16.0 Other Hispanic
6117 100183 female 6 115.0 23.2 Mexican
6118 100184 male 7 130.8 29.6 NH Black
6119 100185 male 63 184.8 94.9 Other/Mixed
6120 100186 male 32 178.3 126.5 NH Asian
6121 100187 male 8 NA NA NH Black
6122 100188 female 80 153.2 61.0 NH White
6123 100190 female 32 168.7 98.0 Other Hispanic
6124 100191 female 42 161.8 71.2 NH White
6125 100192 male 56 164.6 93.9 Mexican
6126 100193 male 5 115.6 20.9 Other Hispanic
6127 100194 male 60 191.5 87.8 NH Black
6128 100195 female 32 159.2 56.6 NH Asian
6129 100196 female 32 170.2 66.5 NH Black
6130 100197 male 2 96.6 14.7 Other/Mixed
6131 100198 male 0 NA 5.3 NH White
6132 100199 female 4 106.7 17.3 Other/Mixed
6133 100200 female 43 162.7 104.5 Other/Mixed
6134 100201 male 43 171.9 82.3 NH White
6135 100202 female 22 156.4 85.7 Mexican
6136 100203 male 39 184.6 64.4 NH Black
6137 100204 female 36 173.6 87.2 Other Hispanic
6138 100205 male 48 178.6 109.3 NH Black
6139 100206 female 62 158.6 95.4 Other Hispanic
6140 100207 male 7 121.0 25.2 Mexican
6141 100208 male 17 170.5 69.8 NH Black
6142 100210 female 60 163.3 99.3 NH White
6143 100211 female 41 152.9 72.7 Mexican
6144 100212 male 58 177.6 61.7 NH White
6145 100213 male 66 181.3 85.9 NH White
6146 100214 male 57 167.4 147.9 NH Black
6147 100216 female 42 158.0 52.8 Mexican
6148 100217 male 12 141.3 29.4 NH White
6149 100218 male 4 107.4 17.4 NH Asian
6150 100219 male 74 181.1 101.2 NH Black
6151 100220 female 3 94.5 14.2 NH Asian
6152 100221 female 30 173.5 68.3 NH Black
6153 100222 female 65 163.4 91.9 NH Black
6154 100224 male 15 170.3 77.7 Mexican
6155 100225 female 14 155.0 58.9 NH White
6156 100226 female 11 150.9 49.6 Mexican
6157 100227 female 5 103.1 17.9 Other Hispanic
6158 100228 female 74 148.6 70.0 NH White
6159 100229 male 59 153.9 82.4 NH White
6160 100230 female 59 144.5 73.1 Mexican
6161 100231 female 69 154.2 118.5 Mexican
6162 100232 male 8 133.0 39.9 NH Asian
6163 100233 female 65 165.0 96.9 NH Black
6164 100234 female 30 151.2 49.2 NH Asian
6165 100235 male 77 165.6 70.9 NH White
6166 100236 male 61 190.3 130.9 NH White
6167 100237 female 9 129.8 28.2 Mexican
6168 100238 male 58 173.5 91.8 NH White
6169 100239 male 5 126.5 28.1 NH Black
6170 100240 female 11 163.6 70.8 NH Black
6171 100241 female 36 161.4 55.5 NH White
6172 100242 female 32 155.7 55.6 NH Black
6173 100243 male 70 NA NA Other/Mixed
6174 100244 male 62 174.8 100.0 NH White
6175 100245 male 9 130.8 33.7 Mexican
6176 100246 female 22 155.6 44.0 NH Asian
6177 100247 female 61 159.2 99.1 Other Hispanic
6178 100248 male 28 168.5 71.4 NH Asian
6179 100249 female 8 126.7 30.6 NH White
6180 100250 female 57 172.5 78.0 NH White
6181 100251 female 45 171.9 122.9 NH Black
6182 100252 male 80 167.0 78.6 NH White
6183 100253 male 30 177.1 91.1 Other Hispanic
6184 100254 female 28 169.7 72.4 NH Black
6185 100255 male 13 169.5 80.6 NH White
6186 100257 female 55 162.5 75.6 NH Asian
6187 100258 female 25 159.5 88.4 NH White
6188 100259 female 9 134.8 30.7 Mexican
6189 100260 female 18 154.5 80.0 NH White
6190 100261 female 80 156.3 80.3 NH White
6191 100262 female 18 167.5 67.9 Mexican
6192 100264 male 26 166.0 NA NH Black
6193 100265 female 55 160.2 52.9 NH Asian
6194 100266 female 40 164.6 49.8 NH White
6195 100267 female 0 NA 8.6 Other Hispanic
6196 100268 female 60 154.4 67.4 NH Asian
6197 100269 female 24 163.3 76.4 NH White
6198 100270 male 36 178.3 91.3 Other Hispanic
6199 100271 female 36 159.8 81.1 NH White
6200 100272 male 35 185.4 121.4 NH Asian
6201 100273 male 71 175.4 56.6 NH White
6202 100274 female 60 156.8 94.9 NH Asian
6203 100275 female 11 141.8 56.5 NH Black
6204 100277 female 18 164.2 96.3 NH White
6205 100278 female 75 167.3 84.6 NH White
6206 100280 female 33 161.2 101.3 NH White
6207 100281 female 59 152.9 97.7 NH White
6208 100282 male 60 189.2 95.5 NH White
6209 100283 female 65 149.4 99.6 Other Hispanic
6210 100284 male 15 171.7 61.7 NH Black
6211 100286 female 45 170.1 96.1 NH Black
6212 100287 female 18 157.3 54.5 Mexican
6213 100288 female 43 162.1 106.2 NH Asian
6214 100289 male 66 176.5 100.1 NH Black
6215 100290 male 1 NA 9.7 NH White
6216 100291 female 61 164.3 86.2 NH Black
6217 100292 female 56 155.0 125.5 Other/Mixed
6218 100293 female 29 161.2 75.0 NH Black
6219 100294 female 40 166.9 71.9 NH Black
6220 100295 male 36 175.4 75.8 NH Black
6221 100296 female 11 138.8 31.4 NH Black
6222 100297 male 70 175.0 85.5 NH White
6223 100298 female 47 168.8 103.6 NH Black
6224 100299 female 27 165.7 112.1 NH Black
6225 100300 female 14 NA NA NH Black
6226 100301 female 53 164.4 99.5 Other/Mixed
6227 100303 male 60 170.3 79.0 Mexican
6228 100304 male 4 115.5 25.3 NH White
6229 100305 male 48 176.2 120.6 NH Asian
6230 100306 male 0 NA 3.9 NH Black
6231 100307 female 8 125.2 25.7 NH Black
6232 100308 female 2 88.3 13.3 NH Black
6233 100309 female 80 161.8 76.0 NH White
6234 100310 female 9 137.4 30.4 NH Black
6235 100311 male 55 166.5 91.1 Mexican
6236 100312 female 9 141.7 34.7 Other/Mixed
6237 100313 female 35 169.5 57.4 NH White
6238 100314 male 9 134.5 24.6 Other Hispanic
6239 100315 male 62 177.9 104.1 Other Hispanic
6240 100316 male 13 163.4 43.9 Other Hispanic
6241 100317 female 3 97.4 14.2 Mexican
6242 100318 male 41 175.5 112.4 Mexican
6243 100319 female 47 165.3 119.2 NH White
6244 100320 male 3 104.9 25.3 Other/Mixed
6245 100321 male 62 171.1 83.6 Mexican
6246 100322 male 3 NA 18.9 Other/Mixed
6247 100323 female 8 135.9 28.3 NH Black
6248 100324 female 46 154.1 69.2 Other Hispanic
6249 100325 female 35 161.8 66.3 NH Asian
6250 100326 female 21 153.7 92.3 NH Black
6251 100327 male 16 177.4 75.3 NH Black
6252 100328 male 0 NA 8.3 Other/Mixed
6253 100329 female 27 158.3 84.2 Other Hispanic
6254 100330 male 3 100.0 15.8 NH Black
6255 100331 male 3 102.4 18.2 NH White
6256 100332 male 43 169.5 69.0 NH White
6257 100333 male 29 161.7 72.6 NH Asian
6258 100334 male 25 173.3 81.6 Mexican
6259 100335 male 1 NA 14.3 NH Black
6260 100336 male 18 179.7 65.9 NH Black
6261 100337 male 0 NA 3.8 Other/Mixed
6262 100338 male 45 176.8 75.4 NH White
6263 100339 male 9 146.0 54.9 NH White
6264 100340 female 5 107.9 18.7 Other Hispanic
6265 100341 male 11 151.5 34.4 Mexican
6266 100342 male 17 172.6 97.5 NH Black
6267 100343 male 7 132.8 31.4 NH White
6268 100344 female 8 120.2 24.6 NH White
6269 100345 female 8 133.8 28.0 Other/Mixed
6270 100346 female 79 148.4 52.2 Other/Mixed
6271 100347 male 57 175.0 83.5 Mexican
6272 100348 female 49 156.1 84.8 NH Black
6273 100349 male 5 109.2 18.6 Other/Mixed
6274 100351 male 11 165.6 53.7 NH White
6275 100352 male 0 NA 9.3 Mexican
6276 100353 male 59 170.6 49.5 NH Asian
6277 100354 female 80 NA NA NH Asian
6278 100355 male 12 140.5 30.7 NH White
6279 100356 female 39 173.7 92.7 NH Black
6280 100357 female 63 152.5 76.1 NH Asian
6281 100358 female 62 165.6 101.7 Mexican
6282 100360 female 12 152.1 51.2 NH White
6283 100361 male 57 176.4 115.4 Mexican
6284 100362 female 70 157.5 67.8 NH White
6285 100363 male 63 176.6 92.7 Other Hispanic
6286 100364 female 13 156.6 44.1 Mexican
6287 100365 female 22 156.9 63.7 Mexican
6288 100366 male 77 164.6 61.5 NH Asian
6289 100367 male 15 176.3 66.5 NH Black
6290 100368 male 12 147.8 35.5 Mexican
6291 100369 female 55 147.2 61.0 NH Asian
6292 100370 female 7 119.1 20.1 NH Black
6293 100371 male 4 108.3 19.2 NH Asian
6294 100372 female 1 NA 10.7 Mexican
6295 100373 male 74 166.8 63.0 NH Asian
6296 100374 female 6 123.2 28.6 NH White
6297 100375 male 10 140.1 31.3 NH Black
6298 100376 male 49 178.0 84.9 NH Black
6299 100377 male 47 160.9 69.6 NH Asian
6300 100378 female 44 148.1 116.6 Other/Mixed
6301 100379 male 14 176.7 67.0 NH White
6302 100380 male 45 173.4 174.4 NH White
6303 100381 female 2 99.2 14.4 NH White
6304 100382 male 45 170.9 141.6 Other/Mixed
6305 100383 male 0 NA 10.8 NH White
6306 100384 female 3 NA NA NH White
6307 100386 female 37 159.1 100.2 Mexican
6308 100388 female 56 150.5 96.3 NH White
6309 100389 female 55 159.2 78.7 NH Black
6310 100390 female 67 165.9 70.3 NH Black
6311 100391 female 12 160.6 56.6 NH Black
6312 100392 female 0 NA 9.1 NH Black
6313 100393 male 52 173.8 105.5 NH White
6314 100395 female 77 154.9 79.5 NH Black
6315 100396 female 65 153.8 62.3 Mexican
6316 100397 male 2 91.9 11.9 NH Asian
6317 100398 female 11 146.9 30.5 NH Asian
6318 100399 female 74 156.4 81.7 NH White
6319 100400 male 8 129.8 41.0 Other Hispanic
6320 100401 female 5 105.9 19.5 NH Black
6321 100402 female 51 155.0 69.5 NH White
6322 100403 female 9 139.6 31.0 Mexican
6323 100404 female 66 153.5 59.7 NH Asian
6324 100405 male 17 184.9 84.1 NH White
6325 100407 male 55 174.4 85.0 Other/Mixed
6326 100408 female 6 125.9 25.9 NH Black
6327 100409 female 17 157.9 57.5 Other/Mixed
6328 100410 female 58 165.5 88.1 Mexican
6329 100411 male 68 179.9 80.5 NH Black
6330 100412 female 65 159.5 75.2 Mexican
6331 100413 male 15 171.7 47.1 NH Asian
6332 100414 male 80 166.0 79.7 NH White
6333 100415 female 49 159.4 71.5 NH Black
6334 100416 female 2 87.6 12.9 NH White
6335 100417 female 1 NA 13.4 NH Black
6336 100418 male 31 179.1 74.5 NH White
6337 100419 male 40 172.7 114.6 NH White
6338 100420 male 34 180.5 97.5 NH Black
6339 100421 female 50 159.4 57.8 Other Hispanic
6340 100422 male 66 181.5 65.7 NH Black
6341 100423 male 9 137.9 30.8 Other/Mixed
6342 100424 female 73 160.9 60.6 NH Black
6343 100425 male 79 173.9 111.8 NH Black
6344 100426 male 1 NA 11.3 NH Black
6345 100427 female 38 150.8 74.6 Mexican
6346 100428 female 29 149.8 68.0 NH White
6347 100429 male 33 173.5 90.5 Mexican
6348 100430 male 13 156.4 45.4 NH White
6349 100431 female 28 163.3 116.3 NH White
6350 100432 male 29 169.0 89.0 Mexican
6351 100433 male 67 164.9 73.5 Other Hispanic
6352 100434 female 32 152.5 104.5 Mexican
6353 100435 female 9 147.3 39.3 Other Hispanic
6354 100436 female 48 149.7 112.7 Mexican
6355 100437 male 6 121.7 23.8 NH Black
6356 100438 female 22 159.7 60.5 Mexican
6357 100439 male 19 159.6 65.7 Other/Mixed
6358 100440 female 28 154.3 61.3 Mexican
6359 100442 female 68 165.2 116.9 NH White
6360 100443 male 26 173.7 134.1 NH Black
6361 100444 male 0 NA 7.2 Other Hispanic
6362 100445 female 61 158.2 62.6 NH Black
6363 100446 male 60 172.5 104.7 Other Hispanic
6364 100447 male 50 181.6 92.1 NH White
6365 100448 female 16 156.3 61.9 NH White
6366 100449 female 0 NA 4.3 NH White
6367 100450 female 13 166.4 80.3 Other Hispanic
6368 100451 female 40 155.9 58.7 NH Asian
6369 100452 male 2 96.9 14.7 NH Black
6370 100454 female 52 154.4 60.8 NH Asian
6371 100455 male 80 164.5 78.5 NH White
6372 100457 female 19 152.0 54.8 Other Hispanic
6373 100458 female 3 100.4 16.4 Mexican
6374 100459 female 2 84.5 11.4 NH White
6375 100460 male 55 188.2 91.0 NH White
6376 100461 female 19 160.4 52.9 Other/Mixed
6377 100463 male 28 175.0 58.4 NH Black
6378 100464 male 32 180.6 116.7 Other/Mixed
6379 100465 female 30 153.5 82.6 NH Asian
6380 100466 male 18 169.6 146.5 NH White
6381 100467 male 19 176.1 84.3 Other Hispanic
6382 100468 female 52 157.7 83.1 NH Black
6383 100469 male 75 170.1 61.2 NH White
6384 100470 male 17 171.0 51.2 NH Black
6385 100471 female 1 NA 10.6 NH Black
6386 100472 male 6 113.7 20.0 NH White
6387 100473 male 17 176.7 52.8 NH Black
6388 100474 female 67 153.3 84.2 NH White
6389 100475 male 6 121.7 22.7 NH Black
6390 100476 female 38 158.9 56.9 NH Asian
6391 100477 male 4 103.9 17.8 NH White
6392 100478 male 8 129.7 32.9 Other Hispanic
6393 100479 female 18 NA NA NH Black
6394 100480 male 80 156.8 62.1 Other Hispanic
6395 100481 female 59 162.0 74.7 NH Asian
6396 100483 female 51 158.9 85.5 Mexican
6397 100484 female 55 163.9 90.2 NH White
6398 100485 male 67 181.2 111.6 NH White
6399 100486 male 74 169.1 91.1 NH White
6400 100487 male 9 153.0 68.3 NH Black
6401 100488 male 19 178.3 79.4 NH Black
6402 100489 female 11 154.6 40.8 Mexican
6403 100490 female 80 157.0 45.3 NH White
6404 100491 male 0 NA 8.1 Mexican
6405 100492 male 55 183.1 106.1 NH Black
6406 100493 male 9 144.5 48.0 Mexican
6407 100494 male 29 177.2 104.6 NH Asian
6408 100495 male 16 182.1 66.6 NH White
6409 100496 male 1 NA 12.7 NH White
6410 100497 female 80 155.8 73.4 NH White
6411 100498 male 2 NA 14.9 Other/Mixed
6412 100499 female 52 155.0 123.2 Other Hispanic
6413 100500 female 34 168.0 86.8 NH Black
6414 100501 male 72 157.7 62.2 Mexican
6415 100502 male 10 147.3 41.4 NH Black
6416 100503 male 10 139.1 32.5 Other Hispanic
6417 100504 male 11 147.2 73.3 NH Black
6418 100505 female 57 148.7 63.4 Mexican
6419 100506 female 11 158.2 71.5 NH Black
6420 100507 female 13 146.5 40.5 NH Black
6421 100508 female 80 158.2 61.4 NH White
6422 100509 female 79 153.3 66.9 NH White
6423 100510 female 37 149.7 73.2 NH Black
6424 100511 female 64 158.5 84.3 NH Black
6425 100512 male 12 139.9 33.1 NH White
6426 100513 male 56 179.6 75.8 NH Black
6427 100514 male 37 166.5 98.0 Mexican
6428 100515 female 70 153.5 56.6 NH Asian
6429 100516 male 61 173.8 116.3 Other Hispanic
6430 100517 male 39 188.7 90.3 NH White
6431 100518 male 14 167.7 49.2 Other Hispanic
6432 100519 female 4 120.3 23.3 NH Black
6433 100520 male 10 140.6 54.2 Mexican
6434 100521 male 58 183.7 97.9 NH Asian
6435 100523 female 12 153.8 53.4 NH Black
6436 100524 male 20 177.7 65.3 Mexican
6437 100525 male 0 NA 10.2 Mexican
6438 100526 female 33 170.9 82.9 Other Hispanic
6439 100527 female 0 NA 8.8 NH White
6440 100528 female 47 167.4 133.8 NH White
6441 100529 male 4 107.0 18.3 NH Asian
6442 100530 male 52 161.4 73.7 NH Asian
6443 100531 male 80 178.7 73.2 Other/Mixed
6444 100532 female 46 162.8 90.6 NH Black
6445 100533 female 4 111.7 19.7 NH White
6446 100534 female 77 147.0 57.9 NH Asian
6447 100535 female 56 156.5 68.0 NH Asian
6448 100536 female 0 NA 9.4 Other/Mixed
6449 100537 female 32 152.3 96.4 Mexican
6450 100538 female 0 NA 8.0 Other/Mixed
6451 100539 female 14 164.5 62.4 Mexican
6452 100540 female 35 155.5 70.0 Other Hispanic
6453 100541 female 0 NA 5.9 Other/Mixed
6454 100542 female 1 NA 12.5 Mexican
6455 100543 female 9 127.3 26.8 NH Asian
6456 100544 female 61 170.6 100.7 NH Black
6457 100545 female 15 166.5 66.3 NH Black
6458 100546 female 31 182.4 85.5 NH White
6459 100547 male 12 163.8 50.5 NH White
6460 100548 female 33 151.1 49.6 NH White
6461 100549 female 76 162.0 66.8 NH White
6462 100551 male 66 181.1 127.2 NH White
6463 100552 male 9 139.5 38.9 NH White
6464 100553 female 7 119.7 22.4 Other/Mixed
6465 100554 male 65 175.2 116.0 NH Black
6466 100555 female 7 128.4 33.0 Mexican
6467 100556 female 65 162.9 46.5 NH White
6468 100557 male 52 171.9 76.7 NH Black
6469 100558 male 60 165.5 72.8 Mexican
6470 100559 female 3 96.5 13.5 Other Hispanic
6471 100560 female 74 162.1 101.2 NH White
6472 100562 male 14 176.0 108.4 NH White
6473 100563 female 45 166.8 115.7 NH Black
6474 100564 male 5 102.5 14.0 NH White
6475 100565 male 70 171.1 81.5 NH White
6476 100566 male 17 174.8 95.2 Mexican
6477 100567 male 8 123.6 26.4 Other/Mixed
6478 100568 male 46 171.8 99.9 Mexican
6479 100569 male 0 NA 8.2 NH White
6480 100570 female 69 152.9 112.6 Mexican
6481 100571 male 30 172.7 77.0 NH Black
6482 100572 male 41 180.0 123.3 NH White
6483 100573 male 9 126.9 23.4 NH White
6484 100574 female 53 156.9 94.7 Other Hispanic
6485 100575 female 50 152.2 59.8 NH Asian
6486 100576 male 62 164.7 96.2 Other Hispanic
6487 100577 female 27 162.2 58.3 NH Black
6488 100579 male 59 164.0 91.6 NH White
6489 100580 male 65 160.7 82.3 Other Hispanic
6490 100581 male 78 169.4 87.5 NH Black
6491 100582 male 54 164.8 84.5 NH Black
6492 100583 female 29 151.7 63.8 Mexican
6493 100584 male 63 177.2 84.0 NH White
6494 100585 female 6 111.2 17.7 NH Black
6495 100586 male 80 166.0 88.7 NH White
6496 100587 male 13 172.9 67.1 Mexican
6497 100588 male 0 NA 9.8 NH White
6498 100589 female 33 145.7 77.4 Mexican
6499 100590 male 24 170.2 99.6 NH Asian
6500 100592 male 18 176.5 108.9 Mexican
6501 100593 male 9 141.4 53.4 Other Hispanic
6502 100594 male 59 171.3 46.2 NH Black
6503 100595 female 10 153.3 57.2 NH Black
6504 100596 female 14 155.1 72.4 NH Black
6505 100597 male 71 168.1 71.2 Mexican
6506 100599 male 54 166.8 81.5 Mexican
6507 100600 female 4 96.5 13.7 NH White
6508 100603 male 3 97.6 15.2 NH Black
6509 100604 male 4 103.8 15.5 NH Black
6510 100606 female 8 130.9 23.8 NH Black
6511 100607 male 19 178.9 71.7 NH Asian
6512 100608 female 64 153.2 84.8 Mexican
6513 100609 male 6 113.2 21.7 Other Hispanic
6514 100610 female 41 167.9 61.2 NH Black
6515 100611 male 43 177.0 83.8 Mexican
6516 100612 female 1 NA 11.5 NH White
6517 100613 male 26 188.1 106.5 Other/Mixed
6518 100614 male 18 178.1 123.6 NH White
6519 100615 female 4 111.1 17.3 NH Asian
6520 100616 male 7 127.2 26.9 NH Black
6521 100617 male 76 185.6 96.4 NH White
6522 100619 female 28 170.6 87.0 NH White
6523 100620 female 11 154.6 43.7 NH Black
6524 100621 male 40 181.8 91.8 Other/Mixed
6525 100622 male 43 184.6 59.3 Other/Mixed
6526 100623 female 36 171.3 71.4 NH White
6527 100624 male 23 170.0 85.2 Mexican
6528 100625 female 54 149.9 75.2 Mexican
6529 100626 male 1 NA 11.0 NH White
6530 100627 female 43 147.1 42.2 Other/Mixed
6531 100628 male 33 173.9 100.1 NH Asian
6532 100629 male 67 164.2 56.4 Mexican
6533 100630 male 18 174.4 73.8 Other/Mixed
6534 100632 male 39 179.3 119.5 NH White
6535 100633 male 61 166.7 79.0 NH Black
6536 100634 male 38 177.4 89.8 NH Black
6537 100635 male 39 174.1 97.1 NH Asian
6538 100636 male 46 192.8 120.7 NH Black
6539 100637 female 16 149.0 48.8 NH Black
6540 100638 male 42 176.7 74.4 Mexican
6541 100639 female 80 173.0 78.2 NH White
6542 100640 female 5 106.9 20.7 NH White
6543 100641 female 24 160.5 49.1 NH Asian
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6547 100645 female 2 88.3 11.1 NH Black
6548 100646 male 80 NA 62.1 NH White
6549 100647 male 33 155.5 62.6 NH White
6550 100649 male 43 172.3 80.0 NH White
6551 100650 female 61 NA NA NH White
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6553 100652 male 0 NA 3.9 NH Black
6554 100653 male 25 175.5 88.8 NH Black
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6565 100665 female 2 89.5 13.0 NH White
6566 100666 female 11 161.2 48.2 NH Black
6567 100667 male 20 169.4 61.9 NH Black
6568 100668 female 5 111.2 20.1 NH Black
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6570 100670 male 41 164.8 77.7 NH Asian
6571 100671 male 16 182.2 88.0 NH White
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6573 100673 female 35 150.5 47.9 NH Black
6574 100674 male 80 158.9 67.1 NH White
6575 100675 female 21 156.7 73.0 NH Black
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6577 100677 female 56 167.5 72.4 NH White
6578 100678 female 9 143.1 50.1 NH Black
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6580 100680 male 18 169.7 72.8 NH Black
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6595 100697 male 32 173.1 79.6 NH White
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6597 100700 female 10 142.1 60.7 NH Black
6598 100701 female 33 163.4 116.5 NH Black
6599 100702 female 10 141.4 28.6 NH Asian
6600 100703 female 0 NA 6.0 Mexican
6601 100704 female 9 127.3 22.7 Other/Mixed
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6603 100706 male 66 168.7 96.7 NH White
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6605 100708 female 10 139.8 27.9 NH White
6606 100709 male 38 187.2 76.2 NH White
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6609 100712 male 1 NA 11.9 NH White
6610 100713 female 38 164.6 67.6 NH White
6611 100714 female 37 171.0 78.0 NH White
6612 100715 female 51 163.3 89.0 NH White
6613 100716 female 79 161.2 65.8 Mexican
6614 100717 female 49 168.5 120.1 NH White
6615 100719 female 2 95.9 12.8 NH Black
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6619 100723 male 80 NA NA NH Asian
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6621 100725 female 67 158.9 66.6 NH Asian
6622 100726 female 69 152.4 81.8 Mexican
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6624 100728 female 68 166.3 61.3 NH White
6625 100729 male 3 102.7 17.3 NH Black
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6633 100737 female 4 111.2 19.7 NH Black
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6636 100740 male 20 178.0 80.0 NH White
6637 100741 male 66 182.4 84.7 NH White
6638 100742 male 34 183.8 73.8 NH Black
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6640 100744 female 0 NA 7.5 Mexican
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6643 100747 female 55 158.2 77.4 Other/Mixed
6644 100748 female 62 167.1 70.8 NH Black
6645 100749 male 21 172.0 95.4 NH Asian
6646 100751 female 5 108.0 17.1 NH White
6647 100752 male 42 174.5 58.7 NH Asian
6648 100753 female 3 97.5 14.7 NH Black
6649 100754 male 54 189.6 107.9 NH Black
6650 100755 male 11 154.6 40.6 NH Black
6651 100756 male 60 171.9 67.2 NH Black
6652 100757 female 0 NA 3.9 NH Black
6653 100758 female 4 101.5 16.3 Mexican
6654 100759 male 35 180.3 81.4 NH White
6655 100760 female 63 171.3 65.6 NH White
6656 100761 male 80 166.9 65.0 NH White
6657 100763 female 11 151.6 64.9 NH White
6658 100764 female 47 157.3 61.7 NH Asian
6659 100765 female 48 154.6 56.5 NH Asian
6660 100766 female 9 129.0 28.1 NH Black
6661 100767 female 7 123.2 25.0 Other Hispanic
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6663 100769 female 9 136.7 42.7 Other/Mixed
6664 100770 male 10 138.8 30.6 NH Black
6665 100771 female 68 162.6 79.4 NH White
6666 100772 female 45 166.0 85.4 Other/Mixed
6667 100773 male 2 89.3 12.0 NH White
6668 100774 male 61 166.4 70.5 NH Asian
6669 100775 female 21 156.7 50.6 NH White
6670 100776 male 7 132.9 25.8 NH Black
6671 100778 female 18 176.2 50.6 NH Black
6672 100779 male 6 123.2 26.4 NH Black
6673 100780 male 54 182.1 94.4 NH White
6674 100782 male 39 178.4 120.0 NH White
6675 100783 male 15 166.9 88.5 NH Asian
6676 100784 female 11 164.3 64.0 NH Asian
6677 100785 female 3 103.5 16.0 NH Asian
6678 100786 male 5 114.7 23.0 NH White
6679 100787 male 72 170.0 85.4 NH White
6680 100788 male 35 173.7 82.2 NH White
6681 100790 female 60 169.8 78.6 NH Black
6682 100791 female 4 109.9 18.1 NH White
6683 100792 female 68 156.3 151.7 NH Black
6684 100793 male 12 158.7 46.1 NH Black
6685 100794 male 17 181.2 61.3 NH Black
6686 100795 male 78 178.4 84.6 NH White
6687 100796 male 19 172.6 57.7 Other/Mixed
6688 100798 female 7 127.0 28.1 Mexican
6689 100800 female 76 146.7 66.7 NH White
6690 100801 male 34 173.1 107.3 NH White
6691 100802 female 51 156.5 91.9 NH Black
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6694 100805 female 80 160.1 50.8 NH White
6695 100806 male 3 97.1 14.5 NH White
6696 100807 female 2 90.8 14.1 NH Black
6697 100808 female 16 179.0 111.7 NH Black
6698 100809 female 4 98.6 13.0 NH Black
6699 100811 female 1 NA 10.5 NH Asian
6700 100812 female 8 137.6 42.6 Mexican
6701 100813 female 16 152.0 55.4 Mexican
6702 100814 female 19 167.7 110.1 NH White
6703 100815 female 53 146.7 59.6 NH Black
6704 100816 female 43 170.8 93.3 NH White
6705 100817 female 60 160.4 72.5 Other/Mixed
6706 100818 female 27 152.5 58.4 NH Asian
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6709 100821 female 68 160.8 70.4 Other Hispanic
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6712 100824 female 3 109.0 21.2 Mexican
6713 100825 female 37 177.8 116.6 NH Black
6714 100826 female 5 102.7 15.1 Mexican
6715 100827 female 45 167.0 79.4 NH White
6716 100828 female 1 NA 10.9 NH White
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6718 100830 female 4 113.5 20.7 NH White
6719 100831 female 74 153.9 61.9 NH Black
6720 100832 female 36 148.5 64.9 NH White
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6722 100834 male 80 168.7 84.1 Mexican
6723 100835 male 2 NA 13.0 Mexican
6724 100836 male 63 169.6 79.7 Other Hispanic
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6726 100838 female 37 162.5 128.8 NH White
6727 100840 male 76 164.5 74.7 NH White
6728 100841 female 41 160.9 56.6 NH Asian
6729 100842 male 7 131.9 28.4 Other/Mixed
6730 100843 male 33 194.6 152.8 Other/Mixed
6731 100844 male 59 NA 72.7 NH Black
6732 100846 male 29 186.3 81.2 NH White
6733 100847 female 57 156.9 130.8 NH Black
6734 100848 female 70 153.9 89.4 NH White
6735 100849 male 26 186.3 146.8 NH Asian
6736 100850 female 5 129.4 30.0 NH Black
6737 100851 female 71 157.9 72.1 NH White
6738 100852 female 0 NA 9.5 NH Black
6739 100853 male 80 170.1 92.9 Mexican
6740 100854 female 6 124.6 37.3 Mexican
6741 100855 female 30 167.1 63.5 NH White
6742 100856 female 75 157.4 50.8 Other/Mixed
6743 100857 female 13 134.0 31.4 Mexican
6744 100858 male 2 94.9 13.4 NH Asian
6745 100859 female 17 173.7 104.5 Mexican
6746 100860 female 36 169.7 123.6 NH Black
6747 100861 male 36 172.8 154.9 NH White
6748 100862 female 62 155.6 79.3 Other Hispanic
6749 100863 female 0 NA 6.0 Mexican
6750 100864 male 0 NA 7.9 Other Hispanic
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6752 100866 male 46 181.0 128.0 NH White
6753 100867 female 2 NA 10.3 NH Black
6754 100868 female 5 99.4 16.6 Other Hispanic
6755 100869 female 4 114.3 29.6 Other Hispanic
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6758 100872 female 71 156.9 73.3 NH Black
6759 100874 male 55 164.9 61.1 NH Asian
6760 100875 male 80 166.7 75.4 NH Asian
6761 100876 male 77 163.8 77.4 NH Asian
6762 100877 male 25 170.3 63.1 NH Black
6763 100878 female 0 NA 7.6 NH White
6764 100879 male 71 178.9 85.5 Other/Mixed
6765 100880 male 46 185.3 99.8 NH White
6766 100881 male 26 185.3 86.5 NH Black
6767 100882 male 18 188.0 65.7 Mexican
6768 100883 female 2 88.1 11.6 NH Black
6769 100884 male 18 180.3 104.6 Mexican
6770 100885 male 13 166.8 42.0 NH Black
6771 100886 female 72 158.6 99.0 NH White
6772 100887 female 64 166.4 81.8 NH Black
6773 100888 female 8 131.4 29.5 Mexican
6774 100889 male 18 185.0 90.1 NH White
6775 100890 female 68 157.4 75.1 NH Black
6776 100891 female 6 115.6 18.6 Mexican
6777 100892 male 23 168.0 79.9 Mexican
6778 100893 female 8 130.3 34.2 NH White
6779 100894 female 17 162.9 53.5 NH Asian
6780 100895 female 58 156.9 63.3 NH Asian
6781 100896 female 28 160.8 95.8 NH White
6782 100897 female 2 93.8 13.9 NH White
6783 100898 female 42 156.6 69.3 NH White
6784 100899 male 7 135.4 33.2 NH Black
6785 100900 female 2 92.1 13.4 NH Black
6786 100901 female 16 169.5 94.7 NH White
6787 100902 female 52 154.8 56.5 NH Asian
6788 100903 male 9 123.2 25.3 Other/Mixed
6789 100904 female 17 152.6 57.0 Mexican
6790 100905 male 80 182.9 94.8 NH White
6791 100906 male 1 NA 10.5 NH Asian
6792 100907 male 41 176.2 100.2 NH White
6793 100908 female 12 157.1 50.2 NH White
6794 100910 male 27 182.3 146.9 NH White
6795 100911 male 26 184.1 107.3 NH White
6796 100912 male 10 141.2 29.4 NH Asian
6797 100913 female 23 157.9 70.3 NH Black
6798 100914 female 80 161.0 86.3 NH White
6799 100915 male 67 169.2 95.8 NH White
6800 100917 male 19 170.0 81.2 Mexican
6801 100919 male 80 164.1 61.8 NH White
6802 100920 female 61 161.5 73.1 NH White
6803 100921 male 3 98.9 16.4 Mexican
6804 100922 female 5 117.6 22.2 Mexican
6805 100923 male 22 161.1 69.7 Other Hispanic
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6807 100925 female 45 168.4 74.4 NH Black
6808 100926 male 51 155.8 51.9 NH Asian
6809 100927 female 9 139.3 32.5 NH Black
6810 100928 male 25 173.1 57.0 NH White
6811 100929 female 40 172.8 107.1 NH Black
6812 100930 female 59 162.6 77.9 Other Hispanic
6813 100931 female 11 154.7 55.4 Other Hispanic
6814 100932 male 11 148.0 46.6 NH Black
6815 100933 female 65 160.3 56.8 NH Asian
6816 100934 female 37 163.8 105.6 NH White
6817 100935 male 20 184.9 72.8 NH Black
6818 100936 female 57 164.1 83.5 NH Asian
6819 100937 male 55 181.9 90.1 Other Hispanic
6820 100938 female 37 155.1 61.4 Other Hispanic
6821 100939 female 15 154.4 65.5 NH Asian
6822 100940 female 18 163.0 44.5 NH White
6823 100941 female 80 154.0 44.0 NH Black
6824 100942 male 20 173.1 66.9 NH White
6825 100943 female 42 158.4 96.6 Mexican
6826 100944 male 13 169.2 52.1 NH Asian
6827 100945 male 10 131.1 25.0 NH White
6828 100946 male 16 165.7 68.9 Other/Mixed
6829 100947 female 37 163.2 99.1 NH White
6830 100948 female 68 166.0 70.5 NH Black
6831 100949 female 51 163.8 97.5 NH Black
6832 100950 female 61 171.4 68.4 NH Black
6833 100951 male 62 168.5 86.3 NH White
6834 100952 male 21 183.4 70.1 NH White
6835 100953 male 0 NA 4.4 Mexican
6836 100954 male 47 173.5 98.1 NH Asian
6837 100955 male 64 167.7 69.2 NH Black
6838 100956 male 10 146.2 37.2 NH White
6839 100957 male 3 97.0 13.7 NH Asian
6840 100958 female 4 106.4 17.7 Other/Mixed
6841 100959 male 10 137.0 28.0 NH White
6842 100960 male 11 137.1 28.5 Mexican
6843 100961 female 20 169.3 49.4 NH White
6844 100963 male 80 180.4 77.7 NH Black
6845 100964 male 16 181.0 58.8 NH Black
6846 100965 female 25 159.2 45.4 NH Black
6847 100966 female 37 156.2 53.2 NH White
6848 100967 female 38 158.2 69.9 NH White
6849 100968 female 65 152.3 111.9 Mexican
6850 100969 female 61 166.2 101.3 NH White
6851 100970 male 16 173.7 57.2 Other Hispanic
6852 100971 female 22 142.3 85.5 NH Black
6853 100972 male 57 178.2 96.7 Other/Mixed
6854 100973 male 28 186.0 133.0 Other/Mixed
6855 100974 male 15 175.7 78.2 NH White
6856 100975 male 34 168.4 74.8 Mexican
6857 100976 female 10 145.6 41.1 NH Black
6858 100977 female 1 NA 11.6 NH Black
6859 100978 female 18 157.2 48.5 Mexican
6860 100979 female 12 157.5 64.6 NH Black
6861 100980 female 30 163.1 73.2 NH Asian
6862 100982 male 10 145.4 45.0 Mexican
6863 100983 female 42 154.5 72.1 NH Asian
6864 100984 male 1 NA 9.8 Mexican
6865 100985 male 23 178.7 71.7 NH White
6866 100986 female 50 163.1 72.2 Other Hispanic
6867 100987 male 60 162.5 76.3 NH Asian
6868 100988 male 80 166.4 98.3 NH White
6869 100989 female 68 155.6 61.3 NH Black
6870 100990 male 3 102.7 16.6 NH Black
6871 100991 female 9 140.0 30.6 Mexican
6872 100992 male 27 176.0 105.1 Other Hispanic
6873 100993 male 7 116.1 19.0 NH Black
6874 100994 male 28 162.8 70.5 Mexican
6875 100995 male 1 NA 12.6 NH White
6876 100996 male 52 184.3 101.4 NH White
6877 100997 female 60 161.9 112.2 Other Hispanic
6878 100999 female 29 166.4 91.1 NH White
6879 101000 female 12 162.7 42.5 NH Black
6880 101001 male 67 178.4 105.8 NH Black
6881 101002 female 37 162.3 49.8 Other Hispanic
6882 101003 male 56 170.2 86.1 Mexican
6883 101004 male 29 177.3 58.6 NH White
6884 101005 female 29 152.3 50.1 Other/Mixed
6885 101006 male 76 182.7 69.9 NH White
6886 101007 female 43 159.1 78.7 NH White
6887 101008 female 1 NA 12.8 Mexican
6888 101009 female 21 172.3 146.6 Mexican
6889 101010 male 71 165.8 87.1 NH White
6890 101011 male 23 176.7 97.0 NH White
6891 101012 female 3 93.9 12.8 NH Asian
6892 101013 female 44 166.7 87.6 NH Black
6893 101014 female 42 170.0 59.1 NH White
6894 101015 female 80 156.5 69.7 NH White
6895 101016 male 8 133.2 24.4 NH White
6896 101017 male 65 169.6 58.1 NH White
6897 101018 male 77 167.0 56.8 NH White
6898 101019 male 49 184.7 111.1 NH White
6899 101020 male 15 175.9 76.1 Other/Mixed
6900 101021 male 61 172.5 92.4 NH Black
6901 101022 male 75 171.3 131.2 NH Black
6902 101023 male 52 175.1 77.4 Other/Mixed
6903 101024 male 53 172.6 74.7 NH White
6904 101025 female 23 166.9 68.2 NH Asian
6905 101026 female 61 157.9 66.7 Other Hispanic
6906 101027 male 55 NA NA NH White
6907 101028 female 59 159.1 61.6 Other Hispanic
6908 101029 male 14 163.4 64.6 Mexican
6909 101030 female 30 165.1 60.6 NH Asian
6910 101031 male 27 169.6 89.0 NH Asian
6911 101032 male 14 181.5 80.0 NH White
6912 101033 male 63 189.3 93.5 NH Black
6913 101034 female 46 150.1 72.3 NH White
6914 101035 female 15 155.6 56.2 NH White
6915 101036 female 80 163.4 63.4 NH Black
6916 101037 female 41 155.1 106.8 NH White
6917 101039 male 14 161.8 59.2 NH Black
6918 101040 male 61 166.7 89.8 NH Black
6919 101041 female 4 97.6 15.3 Mexican
6920 101042 male 13 164.7 47.0 NH Asian
6921 101043 male 72 165.1 59.6 NH Asian
6922 101044 female 3 97.2 14.5 Mexican
6923 101045 female 17 157.6 46.5 Other/Mixed
6924 101046 male 68 185.3 103.7 Other/Mixed
6925 101047 male 18 167.8 58.0 Mexican
6926 101048 male 15 175.8 68.8 NH Asian
6927 101049 female 57 150.8 107.5 NH White
6928 101051 male 57 177.1 82.9 NH Asian
6929 101052 female 49 167.2 108.9 NH Black
6930 101053 male 0 NA 8.5 NH Black
6931 101054 female 17 164.3 60.4 Other Hispanic
6932 101057 male 12 154.3 40.8 NH Black
6933 101058 female 9 129.6 26.7 NH White
6934 101059 male 12 145.5 41.4 Other Hispanic
6935 101060 male 71 172.8 100.5 NH White
6936 101062 male 4 102.2 16.4 NH Asian
6937 101063 male 80 167.4 67.5 NH Black
6938 101064 male 28 170.6 96.9 Other/Mixed
6939 101065 female 44 172.6 71.1 Mexican
6940 101066 male 5 113.2 19.1 NH Black
6941 101067 male 16 164.3 54.2 NH Black
6942 101068 female 55 154.8 47.2 NH White
6943 101069 male 32 174.1 92.6 NH Black
6944 101070 female 34 166.4 89.0 Mexican
6945 101071 male 2 85.7 12.5 NH White
6946 101072 male 2 NA NA Mexican
6947 101073 male 62 164.6 63.6 Mexican
6948 101075 male 67 165.3 86.5 Mexican
6949 101076 female 22 158.6 58.8 Other/Mixed
6950 101077 male 36 184.2 74.3 NH White
6951 101078 male 62 180.8 101.5 NH Black
6952 101079 female 51 155.0 46.4 NH Asian
6953 101080 male 14 156.6 43.3 NH White
6954 101081 female 13 154.0 59.6 NH White
6955 101082 female 3 97.5 17.1 NH White
6956 101083 male 17 177.0 67.8 NH Asian
6957 101084 female 46 171.4 67.3 NH White
6958 101085 male 31 185.5 137.7 Other/Mixed
6959 101086 male 32 179.6 104.5 Other/Mixed
6960 101087 female 51 159.7 47.6 NH White
6961 101088 female 80 165.2 87.8 NH White
6962 101089 female 19 159.7 125.7 Mexican
6963 101090 female 17 163.8 62.8 Mexican
6964 101091 female 58 161.8 98.9 NH Black
6965 101092 male 13 161.5 48.3 NH Black
6966 101093 female 63 164.5 104.9 NH Black
6967 101094 male 14 166.8 66.7 Mexican
6968 101095 female 56 162.9 47.1 NH Asian
6969 101096 female 56 156.0 81.0 Other Hispanic
6970 101097 female 39 155.3 76.4 Other Hispanic
6971 101098 female 3 102.7 18.3 NH White
6972 101099 female 23 159.8 90.9 NH White
6973 101100 female 10 154.4 51.7 NH Black
6974 101101 male 22 177.7 83.4 NH White
6975 101102 male 80 175.6 90.8 NH White
6976 101103 female 53 157.9 79.2 NH Black
6977 101104 female 0 NA 5.2 NH Black
6978 101106 female 49 166.3 108.7 NH Black
6979 101107 female 44 158.0 68.8 Mexican
6980 101108 female 59 151.9 52.3 Other/Mixed
6981 101109 female 60 159.7 119.8 NH Black
6982 101111 male 22 189.6 124.9 NH Black
6983 101112 female 45 158.4 48.7 NH Asian
6984 101113 female 19 160.3 65.1 NH White
6985 101114 female 11 158.6 52.4 NH White
6986 101115 female 36 168.1 107.7 NH Black
6987 101116 female 1 NA 9.7 NH White
6988 101117 male 12 148.2 62.8 Other Hispanic
6989 101118 male 26 184.0 120.3 Mexican
6990 101119 female 48 149.2 76.8 Mexican
6991 101120 female 80 149.5 51.6 NH White
6992 101121 male 0 NA 9.9 NH Black
6993 101122 male 30 185.5 76.6 NH Black
6994 101123 female 59 168.4 49.6 NH White
6995 101124 male 76 176.3 94.5 NH White
6996 101125 female 33 155.7 60.3 NH White
6997 101126 male 37 182.3 135.6 NH White
6998 101127 male 25 185.6 145.9 Other/Mixed
6999 101128 female 6 123.0 34.6 Mexican
7000 101129 male 2 90.7 13.2 NH White
7001 101130 female 19 161.8 54.6 Other Hispanic
7002 101131 male 15 168.1 50.1 NH White
7003 101132 male 31 172.0 81.0 NH Asian
7004 101133 male 2 92.4 12.6 Other/Mixed
7005 101134 female 30 161.4 83.9 NH White
7006 101135 female 0 NA 5.8 Mexican
7007 101136 male 76 182.2 106.1 NH White
7008 101137 male 5 111.0 18.4 Other/Mixed
7009 101138 female 33 171.4 118.0 NH White
7010 101139 female 33 163.6 70.2 NH White
7011 101141 male 54 178.2 107.8 Mexican
7012 101142 male 11 147.2 32.5 NH Black
7013 101143 male 80 163.1 108.4 NH White
7014 101144 male 8 130.5 25.7 NH Black
7015 101145 male 2 95.8 15.2 Mexican
7016 101146 female 2 88.4 12.8 Mexican
7017 101147 female 58 156.5 57.7 NH Asian
7018 101148 female 80 151.6 43.6 NH Black
7019 101149 male 59 169.5 116.6 NH White
7020 101151 female 29 165.2 77.4 NH Black
7021 101152 male 19 169.9 111.0 Mexican
7022 101153 male 42 188.3 136.4 NH Black
7023 101154 male 0 NA 7.5 Mexican
7024 101155 female 52 158.8 75.5 NH Black
7025 101156 female 11 150.7 39.6 NH Asian
7026 101157 female 7 123.5 20.4 NH Asian
7027 101158 male 7 131.4 29.1 Other/Mixed
7028 101159 female 17 155.6 67.9 Other/Mixed
7029 101160 female 49 151.4 65.7 Mexican
7030 101162 male 62 164.5 71.5 NH Black
7031 101163 female 60 155.0 67.1 NH Black
7032 101164 female 26 158.8 51.4 NH Asian
7033 101165 male 1 NA 11.9 Other Hispanic
7034 101166 female 28 164.7 49.8 NH White
7035 101168 female 18 163.0 47.1 NH White
7036 101169 female 58 157.6 69.4 NH Black
7037 101170 female 2 94.2 15.4 NH Asian
7038 101171 female 47 159.5 63.1 NH White
7039 101173 female 66 155.3 52.4 NH White
7040 101174 male 35 183.8 87.2 NH Black
7041 101175 male 55 172.3 90.0 NH White
7042 101176 female 80 154.8 60.1 NH Black
7043 101177 male 64 165.0 66.5 Mexican
7044 101178 female 0 NA 6.1 Other/Mixed
7045 101179 female 62 151.1 53.3 Mexican
7046 101180 female 80 168.7 76.7 NH White
7047 101181 female 50 156.7 61.9 Other Hispanic
7048 101182 male 58 173.1 86.2 NH Black
7049 101183 female 80 153.2 82.7 NH White
7050 101184 female 9 152.1 41.4 NH Black
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7052 101186 male 35 171.5 96.6 Other Hispanic
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7059 101195 female 71 169.1 74.0 NH White
7060 101196 female 71 157.0 69.3 NH Black
7061 101197 male 14 179.5 78.6 NH Black
7062 101198 female 2 86.8 12.9 NH Black
7063 101199 female 61 153.4 47.2 NH White
7064 101200 male 73 175.7 67.1 NH White
7065 101201 male 55 168.6 74.6 NH Asian
7066 101202 male 9 140.3 30.4 Mexican
7067 101203 male 14 167.2 52.0 NH White
7068 101204 male 80 182.3 89.9 NH White
7069 101205 female 14 160.2 73.1 NH Black
7070 101206 male 34 167.0 80.0 Mexican
7071 101207 female 70 NA NA NH White
7072 101208 female 14 157.3 45.2 Other Hispanic
7073 101209 female 62 148.3 44.4 Mexican
7074 101210 female 0 NA 5.0 NH White
7075 101211 female 61 154.7 77.3 NH Black
7076 101212 female 62 156.6 95.5 NH Asian
7077 101213 male 60 179.2 134.4 NH White
7078 101214 male 23 164.9 71.2 NH Asian
7079 101215 male 2 92.5 17.8 Mexican
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7083 101219 female 8 129.4 27.0 NH White
7084 101220 female 35 155.7 72.8 NH Asian
7085 101221 male 54 178.6 121.0 NH Black
7086 101222 male 48 167.9 96.1 Other/Mixed
7087 101224 male 13 150.7 77.3 NH White
7088 101226 male 44 167.7 83.5 NH Asian
7089 101227 male 60 188.2 110.7 NH Black
7090 101228 female 30 159.4 65.6 NH White
7091 101229 female 38 151.6 74.5 Mexican
7092 101230 female 50 159.0 77.3 NH Black
7093 101231 female 14 167.0 62.2 NH White
7094 101232 male 65 178.6 93.2 NH White
7095 101233 male 17 178.1 77.5 Mexican
7096 101234 female 9 137.7 38.7 Other/Mixed
7097 101235 male 1 NA 13.3 NH White
7098 101236 male 26 177.1 66.5 NH Black
7099 101237 female 9 134.9 33.1 Mexican
7100 101238 male 36 174.2 80.4 Other Hispanic
7101 101239 female 80 156.4 52.3 NH White
7102 101240 female 16 151.5 62.3 Mexican
7103 101241 male 27 171.1 91.3 NH Asian
7104 101242 female 57 153.8 65.1 NH White
7105 101243 male 63 174.1 76.7 NH White
7106 101244 female 15 153.0 52.6 NH Black
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7108 101246 male 54 175.5 95.7 NH Asian
7109 101247 male 38 166.8 64.1 NH Asian
7110 101248 male 52 189.0 106.8 NH Black
7111 101249 female 63 158.4 76.0 Other Hispanic
7112 101250 female 38 171.1 92.5 NH White
7113 101251 female 18 164.2 53.1 NH Asian
7114 101252 female 33 157.0 98.5 Other/Mixed
7115 101253 male 57 175.3 95.3 NH Black
7116 101254 female 29 163.5 51.7 NH Black
7117 101255 female 62 157.9 76.4 NH Black
7118 101256 female 34 161.9 138.6 NH Black
7119 101257 female 6 123.5 35.9 NH White
7120 101258 male 45 168.7 112.6 NH White
7121 101259 male 12 154.0 68.0 NH Asian
7122 101260 female 80 154.4 59.4 NH White
7123 101261 female 5 116.3 22.8 Other/Mixed
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7125 101263 male 16 181.9 77.0 NH White
7126 101264 male 31 180.0 73.1 NH Asian
7127 101265 female 47 161.7 68.2 NH Black
7128 101266 female 67 152.9 81.5 NH Black
7129 101267 female 7 122.1 22.1 NH Black
7130 101268 male 2 85.7 12.1 NH White
7131 101269 male 9 138.6 32.6 NH White
7132 101270 female 11 154.6 35.8 NH White
7133 101271 male 6 121.5 22.4 NH White
7134 101272 female 11 162.7 90.2 Mexican
7135 101273 male 67 170.9 123.1 Other Hispanic
7136 101274 female 65 170.1 74.8 NH Black
7137 101275 male 80 169.7 83.2 NH Black
7138 101276 male 8 134.5 28.4 NH White
7139 101277 male 75 166.5 90.4 Other/Mixed
7140 101278 male 44 182.8 98.5 NH Asian
7141 101279 male 5 111.9 21.1 NH Black
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7143 101282 male 60 178.8 108.2 NH White
7144 101283 female 56 158.8 106.2 NH Black
7145 101284 female 65 165.1 84.0 NH Black
7146 101285 male 30 181.1 112.1 NH White
7147 101286 female 52 161.4 99.7 NH Black
7148 101287 female 10 144.1 35.9 NH Asian
7149 101288 female 62 162.6 66.3 NH Black
7150 101289 female 26 155.5 84.5 Mexican
7151 101290 male 4 107.8 20.7 Mexican
7152 101291 female 61 157.4 66.6 Other/Mixed
7153 101292 female 14 157.3 52.8 NH Black
7154 101294 female 39 161.6 95.3 NH Black
7155 101295 male 16 173.4 64.5 NH Asian
7156 101296 male 2 88.0 12.9 NH Black
7157 101297 female 10 147.1 73.0 NH Black
7158 101298 female 60 159.6 82.7 Other/Mixed
7159 101299 female 11 150.8 56.6 Mexican
7160 101300 female 35 163.9 72.3 Other Hispanic
7161 101301 male 0 NA 8.7 NH Black
7162 101302 male 17 179.6 65.0 Other/Mixed
7163 101303 male 3 104.2 16.0 Mexican
7164 101304 male 10 138.5 28.2 Other/Mixed
7165 101305 male 2 98.6 16.9 Other Hispanic
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7167 101307 female 47 170.3 124.0 NH Black
7168 101308 female 25 171.4 76.9 NH White
7169 101309 male 1 NA 12.6 Mexican
7170 101310 male 17 190.6 99.4 NH White
7171 101311 male 30 180.3 110.1 NH Asian
7172 101312 female 80 165.7 68.1 NH White
7173 101313 female 42 175.3 89.5 NH Black
7174 101314 male 12 145.4 34.0 Mexican
7175 101315 male 15 173.6 57.1 NH White
7176 101316 male 22 180.6 70.4 NH Asian
7177 101317 female 12 160.1 61.5 NH Black
7178 101318 female 18 161.2 53.1 NH White
7179 101319 male 34 175.3 125.6 Mexican
7180 101320 male 80 182.4 75.4 NH White
7181 101321 female 0 NA 6.9 NH White
7182 101322 male 57 163.8 84.9 NH Asian
7183 101323 female 74 162.2 104.7 NH Black
7184 101324 male 35 177.6 78.2 NH Black
7185 101325 female 8 128.3 41.3 NH Black
7186 101326 female 16 155.1 55.0 NH Asian
7187 101327 female 52 174.1 79.1 NH White
7188 101328 female 67 166.0 69.5 Other/Mixed
7189 101329 female 16 173.2 69.2 NH White
7190 101330 female 22 164.5 58.7 NH White
7191 101332 male 15 175.7 64.9 NH Black
7192 101333 female 71 157.0 62.3 NH Asian
7193 101334 male 13 167.4 50.3 NH White
7194 101335 male 80 170.9 74.0 NH Black
7195 101336 female 72 160.6 67.4 NH White
7196 101337 male 13 NA NA NH White
7197 101338 male 2 86.8 11.9 NH Black
7198 101339 male 63 163.8 84.0 Mexican
7199 101340 male 80 176.7 95.7 NH White
7200 101341 female 7 124.1 23.1 NH Black
7201 101342 female 41 167.7 159.9 NH White
7202 101343 male 80 171.4 84.3 NH White
7203 101344 female 16 153.0 48.2 Other/Mixed
7204 101345 female 29 169.0 111.1 NH Black
7205 101346 male 8 129.7 32.6 NH White
7206 101347 female 0 NA 4.0 NH Black
7207 101348 female 80 145.9 77.1 NH White
7208 101349 female 69 161.4 125.6 NH Black
7209 101350 male 46 169.2 119.3 NH White
7210 101351 female 79 157.1 66.3 NH Asian
7211 101352 male 16 166.1 54.2 NH White
7212 101353 male 0 NA 4.7 NH White
7213 101354 female 10 132.9 29.1 Other Hispanic
7214 101355 male 46 182.0 92.9 NH Black
7215 101356 female 54 165.6 53.4 NH White
7216 101357 female 72 160.2 79.4 NH Black
7217 101359 female 52 155.5 75.7 Mexican
7218 101360 male 46 171.5 85.5 NH White
7219 101361 male 6 110.2 17.9 NH White
7220 101362 female 74 165.6 84.1 NH White
7221 101363 female 69 NA NA Other Hispanic
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7223 101366 female 52 163.8 63.1 NH Asian
7224 101367 female 0 NA 4.8 NH White
7225 101368 female 3 102.7 17.5 NH Black
7226 101369 female 53 165.5 79.7 NH Black
7227 101370 female 31 165.0 59.9 Other Hispanic
7228 101371 female 6 109.0 16.0 Other/Mixed
7229 101372 female 29 156.3 58.1 NH Asian
7230 101373 male 9 137.5 37.9 NH Asian
7231 101374 male 2 99.8 19.3 NH White
7232 101375 male 53 166.6 72.6 NH Asian
7233 101376 male 12 154.7 40.3 Other/Mixed
7234 101378 female 34 160.1 64.8 NH Asian
7235 101379 male 55 168.2 60.0 NH Black
7236 101380 male 9 138.7 28.9 NH Black
7237 101382 female 64 163.8 85.7 NH White
7238 101383 male 0 NA 7.8 NH Black
7239 101384 male 22 176.6 88.6 NH Black
7240 101385 female 28 164.0 123.2 NH Black
7241 101386 female 49 161.8 67.0 Other Hispanic
7242 101387 female 73 150.9 63.2 NH Asian
7243 101388 male 14 157.4 38.2 NH White
7244 101389 male 42 164.1 92.9 NH Asian
7245 101390 male 40 181.4 111.5 NH White
7246 101391 female 74 152.4 64.4 NH White
7247 101392 female 14 164.0 64.8 NH White
7248 101393 female 80 151.6 57.2 NH Asian
7249 101394 male 39 171.3 65.2 NH Asian
7250 101395 male 14 171.9 58.8 NH White
7251 101396 female 80 161.8 78.6 NH White
7252 101397 male 25 185.1 119.6 NH Black
7253 101398 male 75 175.7 106.7 NH White
7254 101399 male 41 181.7 81.9 NH White
7255 101400 male 53 169.2 82.0 NH Asian
7256 101401 male 52 168.9 59.3 NH Asian
7257 101402 female 75 143.9 55.9 NH Asian
7258 101403 female 11 142.5 37.0 Mexican
7259 101404 male 31 187.0 129.4 NH Black
7260 101405 female 56 158.1 84.7 NH Black
7261 101406 female 1 NA 10.8 NH Asian
7262 101407 female 65 155.0 64.0 NH White
7263 101408 female 4 103.7 16.3 Mexican
7264 101409 male 9 138.0 30.9 NH White
7265 101410 male 3 94.4 14.3 NH White
7266 101411 female 59 164.9 109.0 NH Black
7267 101412 female 39 155.5 47.6 NH Asian
7268 101413 male 12 156.0 48.2 NH Black
7269 101414 female 56 162.1 62.7 NH Black
7270 101415 female 38 160.2 53.2 NH White
7271 101416 male 44 181.2 78.8 NH White
7272 101417 female 9 128.1 26.3 NH Asian
7273 101418 male 9 137.0 33.0 NH White
7274 101419 male 1 NA 12.4 Other/Mixed
7275 101420 female 16 144.1 48.9 NH Black
7276 101421 male 58 172.0 89.2 Other/Mixed
7277 101422 male 12 152.4 45.9 NH White
7278 101423 female 61 139.0 38.5 NH Black
7279 101425 female 7 132.0 29.8 NH Black
7280 101426 female 41 168.0 124.9 NH Black
7281 101427 female 24 169.0 73.0 NH White
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7284 101430 female 42 162.0 56.4 NH Asian
7285 101431 female 38 161.6 85.9 NH White
7286 101432 female 74 154.5 85.3 NH White
7287 101433 male 3 104.0 16.9 Other/Mixed
7288 101434 female 70 154.9 56.2 NH Asian
7289 101435 female 5 108.6 20.6 Mexican
7290 101437 female 19 NA NA Mexican
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7294 101441 female 10 140.4 40.9 Other/Mixed
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7297 101444 male 63 170.5 107.8 Mexican
7298 101445 female 1 NA 13.7 Mexican
7299 101446 female 30 173.6 57.5 Other/Mixed
7300 101447 female 13 163.7 46.1 NH White
7301 101448 male 49 177.7 83.6 Other/Mixed
7302 101449 female 59 175.7 120.1 NH Black
7303 101450 male 39 169.9 94.7 Mexican
7304 101451 male 15 173.4 73.1 Mexican
7305 101453 female 1 NA 14.1 NH Black
7306 101454 female 55 162.3 72.7 Mexican
7307 101455 female 66 146.3 89.8 Other Hispanic
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7309 101458 female 67 154.5 50.8 Other Hispanic
7310 101459 male 16 186.0 76.2 NH White
7311 101460 female 5 118.4 21.3 NH Black
7312 101461 female 59 144.2 82.7 Mexican
7313 101462 female 23 160.8 156.0 NH White
7314 101463 female 62 149.9 48.0 NH White
7315 101464 female 50 156.0 50.2 NH White
7316 101465 male 3 101.6 17.8 Mexican
7317 101467 male 39 184.8 108.7 NH White
7318 101468 male 65 165.4 73.3 Mexican
7319 101470 female 57 177.2 100.8 NH White
7320 101471 male 8 142.4 42.6 NH Asian
7321 101472 female 51 150.7 65.6 NH Asian
7322 101473 female 11 150.4 51.4 Mexican
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7324 101475 female 50 165.3 102.9 Mexican
7325 101476 female 2 85.2 11.8 NH Black
7326 101477 male 9 129.4 27.4 NH White
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7329 101480 male 64 176.3 81.0 NH Asian
7330 101481 female 29 149.7 60.4 NH White
7331 101482 female 16 155.1 57.2 NH Asian
7332 101483 male 70 159.8 61.8 NH Asian
7333 101484 male 49 179.0 88.4 NH White
7334 101485 female 16 162.1 64.5 Mexican
7335 101486 female 60 155.7 71.0 NH Asian
7336 101487 male 73 158.3 68.6 Other Hispanic
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7339 101490 female 78 155.3 69.2 NH White
7340 101491 female 12 160.3 72.1 NH Asian
7341 101492 male 6 118.0 21.0 NH Black
7342 101493 female 34 157.3 66.8 Mexican
7343 101494 female 11 145.3 36.4 NH White
7344 101495 female 0 NA 5.3 NH Black
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7346 101497 male 14 155.2 42.8 NH White
7347 101498 male 71 169.3 121.5 Other Hispanic
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7349 101500 female 67 170.5 92.5 NH White
7350 101501 female 30 156.6 66.1 NH Asian
7351 101502 male 68 187.6 130.3 NH White
7352 101503 female 10 139.5 34.3 NH Black
7353 101504 female 18 152.7 47.8 NH Black
7354 101505 female 62 160.6 66.6 Other/Mixed
7355 101506 female 16 157.6 60.0 NH Black
7356 101507 female 3 97.9 15.0 Mexican
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7359 101510 male 64 172.2 78.7 Other Hispanic
7360 101511 female 10 137.1 31.2 NH Black
7361 101512 male 6 112.0 25.3 NH White
7362 101513 male 35 173.9 67.8 NH White
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7364 101515 male 51 180.7 101.3 Other Hispanic
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7366 101517 female 34 162.3 69.1 Other Hispanic
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7368 101519 male 8 122.5 25.6 Mexican
7369 101520 male 52 175.0 97.0 Mexican
7370 101522 male 76 175.2 79.0 NH White
7371 101523 male 65 175.0 112.3 NH Black
7372 101524 female 10 148.2 49.7 Other/Mixed
7373 101526 male 11 160.3 46.2 NH Black
7374 101527 male 61 179.2 84.6 Mexican
7375 101529 male 8 132.7 34.7 Other Hispanic
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7379 101534 male 8 122.2 20.7 NH White
7380 101535 male 80 171.7 86.8 NH White
7381 101536 female 10 130.6 25.5 NH White
7382 101537 male 33 172.9 97.7 NH White
7383 101538 female 9 128.7 27.5 NH Black
7384 101539 male 8 127.6 27.6 NH Asian
7385 101541 male 63 178.2 88.3 NH White
7386 101542 male 48 167.0 71.0 NH Asian
7387 101543 male 3 99.1 15.0 Other/Mixed
7388 101544 female 44 162.5 71.2 NH White
7389 101545 male 22 177.8 98.7 NH White
7390 101546 male 61 182.6 66.5 NH Black
7391 101547 female 42 160.2 125.5 NH White
7392 101548 female 75 163.2 82.2 NH White
7393 101549 female 43 159.1 64.4 NH Asian
7394 101550 male 53 180.9 113.8 NH Black
7395 101551 female 35 155.5 81.8 NH White
7396 101552 male 35 175.4 119.1 NH Black
7397 101553 female 1 NA 12.3 NH Black
7398 101554 male 0 NA 8.7 NH Black
7399 101555 male 17 176.6 154.8 Other/Mixed
7400 101556 male 37 170.5 93.1 NH Asian
7401 101557 male 12 144.1 47.8 Other Hispanic
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7403 101559 male 27 167.7 99.2 Mexican
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7405 101561 male 15 178.8 65.4 NH White
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7407 101563 male 21 180.9 126.6 NH Black
7408 101565 male 46 178.9 128.7 NH Black
7409 101567 female 8 132.8 28.1 Mexican
7410 101568 male 14 169.5 54.4 Mexican
7411 101569 male 2 85.7 11.4 NH White
7412 101570 female 30 166.6 63.4 NH Black
7413 101571 male 71 175.5 85.9 NH Black
7414 101572 male 60 173.2 86.9 Mexican
7415 101573 female 2 85.7 13.2 NH White
7416 101574 female 22 159.5 45.7 NH Black
7417 101575 female 60 158.6 69.2 NH Asian
7418 101576 female 4 103.3 17.6 Mexican
7419 101577 female 52 154.6 59.6 NH Asian
7420 101578 female 55 166.8 58.8 NH Asian
7421 101579 male 70 163.3 83.9 Mexican
7422 101580 male 61 166.8 76.5 NH Black
7423 101581 male 62 190.8 68.9 NH Black
7424 101582 male 14 174.5 66.2 NH Black
7425 101583 female 16 161.4 87.0 Mexican
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7427 101586 female 1 NA 14.4 NH White
7428 101587 female 76 160.2 107.6 NH Black
7429 101588 female 23 158.7 49.9 Other Hispanic
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7431 101590 male 24 170.2 93.9 Mexican
7432 101591 male 8 131.7 25.5 Other Hispanic
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7438 101597 female 77 143.1 49.2 NH White
7439 101598 male 6 NA NA NH White
7440 101599 male 22 173.9 98.2 NH White
7441 101600 female 5 111.3 20.6 NH Asian
7442 101601 male 62 176.8 82.9 NH White
7443 101602 female 0 NA 9.1 NH White
7444 101603 female 6 112.8 18.3 NH Asian
7445 101604 male 22 162.0 44.9 NH Black
7446 101605 male 66 169.3 69.5 NH White
7447 101606 male 58 173.5 76.7 Other Hispanic
7448 101607 female 11 150.7 71.1 Other/Mixed
7449 101608 male 62 186.4 103.6 NH Black
7450 101609 male 22 165.9 58.7 NH Asian
7451 101610 female 2 87.3 11.7 NH Asian
7452 101611 male 1 NA 12.0 NH Black
7453 101612 male 75 169.6 67.2 NH Black
7454 101613 male 53 175.5 92.4 NH Black
7455 101614 female 11 156.2 75.4 NH Black
7456 101615 female 16 162.5 94.9 NH Black
7457 101616 male 56 176.4 75.7 Other/Mixed
7458 101617 male 7 119.7 24.4 Other/Mixed
7459 101618 male 8 131.8 44.9 NH White
7460 101619 female 13 178.6 51.3 NH Black
7461 101620 female 29 160.8 53.4 NH Asian
7462 101621 male 80 164.9 76.4 NH White
7463 101622 female 6 114.1 19.6 NH White
7464 101623 male 62 168.5 82.2 NH Asian
7465 101624 male 0 NA 9.2 NH White
7466 101625 male 21 166.9 97.7 NH Black
7467 101626 female 55 163.1 58.7 NH White
7468 101627 female 76 152.8 73.9 NH Black
7469 101628 female 17 160.9 68.7 NH Black
7470 101629 male 11 139.7 28.3 Mexican
7471 101630 male 12 153.3 47.8 NH White
7472 101631 female 73 142.6 52.2 NH White
7473 101632 male 6 128.4 27.7 Mexican
7474 101633 female 8 127.4 27.9 Mexican
7475 101634 male 80 167.3 62.7 NH Asian
7476 101635 female 63 157.5 76.0 NH White
7477 101636 female 68 151.4 66.0 Mexican
7478 101637 male 0 NA 11.3 Other Hispanic
7479 101638 male 58 174.7 86.5 NH White
7480 101639 male 14 169.7 59.9 NH Black
7481 101640 female 55 171.8 94.7 Other/Mixed
7482 101641 female 1 NA 10.8 NH White
7483 101642 female 53 164.2 154.4 NH Black
7484 101643 male 2 87.6 11.1 NH Black
7485 101644 male 8 124.7 46.5 Other/Mixed
7486 101645 male 68 171.2 102.6 NH White
7487 101646 male 13 143.3 71.3 NH Black
7488 101647 female 58 161.3 61.4 Mexican
7489 101648 male 16 180.9 66.6 NH Asian
7490 101649 female 40 167.6 74.5 NH White
7491 101651 male 3 102.4 18.8 NH White
7492 101652 male 20 177.4 115.9 NH White
7493 101653 female 70 NA NA NH Black
7494 101654 male 72 174.9 95.6 NH White
7495 101655 male 20 182.1 93.5 NH Black
7496 101656 female 60 155.7 91.9 Other Hispanic
7497 101657 male 28 176.4 70.4 NH White
7498 101658 male 30 174.4 91.1 NH White
7499 101659 female 36 166.0 58.6 Other Hispanic
7500 101660 male 65 164.9 74.2 NH Black
7501 101661 female 61 152.6 69.6 Other Hispanic
7502 101662 male 58 178.8 95.6 NH White
7503 101663 female 4 106.8 20.8 NH White
7504 101664 female 47 166.3 76.4 NH White
7505 101665 female 9 126.8 25.4 NH Asian
7506 101667 female 64 158.9 85.6 Other Hispanic
7507 101668 male 38 176.7 72.8 NH Asian
7508 101669 female 28 153.5 99.8 NH White
7509 101670 female 36 157.7 71.1 NH Asian
7510 101671 female 55 164.3 85.1 NH Black
7511 101673 female 13 146.0 49.5 NH White
7512 101674 female 16 150.1 56.4 Other/Mixed
7513 101675 female 55 151.7 70.4 Other Hispanic
7514 101676 male 55 168.2 69.8 NH Asian
7515 101677 male 25 180.0 105.7 NH White
7516 101678 male 13 160.5 48.3 Mexican
7517 101679 female 62 157.1 73.9 Other Hispanic
7518 101680 male 1 NA 12.6 NH Black
7519 101681 female 31 149.5 67.6 NH Black
7520 101682 female 45 155.0 109.0 NH White
7521 101684 male 0 NA 6.6 Other Hispanic
7522 101686 male 2 95.5 15.4 NH Black
7523 101687 female 75 158.1 63.6 NH Black
7524 101688 female 20 161.1 52.7 NH White
7525 101689 male 80 177.7 76.5 NH White
7526 101690 male 78 173.7 111.2 NH White
7527 101691 male 3 97.8 15.3 NH Black
7528 101692 female 60 174.9 81.1 NH White
7529 101693 female 28 157.5 85.5 NH White
7530 101694 male 64 161.2 82.0 Other Hispanic
7531 101695 female 45 171.5 124.8 Other/Mixed
7532 101697 female 60 154.9 66.2 NH White
7533 101698 female 57 157.2 52.9 Mexican
7534 101699 male 0 NA 8.0 NH White
7535 101700 female 80 160.4 79.3 NH White
7536 101701 female 26 156.5 69.5 Other Hispanic
7537 101702 female 80 151.0 76.4 NH White
7538 101703 male 10 155.5 67.2 Other/Mixed
7539 101704 male 80 156.9 55.2 NH Black
7540 101705 female 60 168.0 67.0 NH White
7541 101706 female 4 106.2 15.7 Mexican
7542 101707 female 79 155.5 83.3 NH White
7543 101708 male 80 177.8 83.6 NH White
7544 101709 female 23 169.3 83.5 Other Hispanic
7545 101710 female 80 156.1 62.6 NH White
7546 101711 male 43 171.6 104.6 Mexican
7547 101712 female 0 NA 8.3 Other/Mixed
7548 101713 female 0 NA 6.4 Other Hispanic
7549 101714 male 36 183.3 128.5 NH Black
7550 101715 male 9 156.5 66.6 NH White
7551 101716 female 33 155.4 90.5 Mexican
7552 101718 female 39 154.5 85.2 NH White
7553 101719 male 14 180.0 91.3 NH White
7554 101720 male 9 134.3 35.7 Mexican
7555 101721 male 28 165.6 55.9 NH Asian
7556 101722 male 72 162.8 80.5 Mexican
7557 101723 female 69 153.7 66.4 NH White
7558 101724 male 60 190.6 93.1 NH Black
7559 101725 female 59 152.3 47.7 NH Asian
7560 101726 male 61 172.3 82.0 NH Asian
7561 101727 male 37 185.2 112.9 Other Hispanic
7562 101728 male 65 178.8 89.6 NH Black
7563 101729 male 68 187.3 86.6 NH Black
7564 101730 male 73 172.2 100.9 NH White
7565 101731 male 46 174.9 80.9 Mexican
7566 101732 male 39 181.8 81.2 NH White
7567 101733 female 25 158.1 56.6 Other/Mixed
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7571 101737 male 57 170.5 66.3 NH White
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7579 101745 male 18 171.3 100.7 Other/Mixed
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7584 101751 male 13 162.4 45.7 NH White
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7587 101754 male 56 172.9 92.2 Other Hispanic
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7589 101756 female 61 161.1 124.7 NH Black
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7591 101758 male 37 175.4 72.5 NH White
7592 101759 female 2 86.2 11.2 NH White
7593 101760 female 33 151.4 78.1 NH Asian
7594 101761 male 44 188.5 125.8 Other/Mixed
7595 101762 female 80 141.7 67.6 NH White
7596 101763 female 54 158.1 70.1 NH White
7597 101764 male 49 157.7 75.9 NH Black
7598 101765 female 32 150.6 70.2 NH Black
7599 101766 female 55 145.8 60.2 NH Asian
7600 101767 male 1 NA 12.0 Mexican
7601 101768 male 24 167.8 63.4 NH White
7602 101769 female 10 147.8 41.7 NH White
7603 101771 male 80 NA NA Other Hispanic
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7605 101773 male 8 129.4 36.9 NH Black
7606 101774 male 28 179.6 122.4 NH White
7607 101775 male 36 173.9 71.1 NH Asian
7608 101776 male 0 NA 10.3 Mexican
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7610 101778 female 64 159.7 47.5 NH Asian
7611 101779 female 55 155.7 71.4 NH White
7612 101780 female 65 168.7 67.0 NH White
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7616 101784 male 38 183.1 89.9 NH Asian
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7618 101786 male 53 180.5 114.1 NH White
7619 101787 male 30 177.0 107.3 NH Black
7620 101788 male 15 170.0 44.7 NH Black
7621 101789 male 5 106.4 17.4 NH Black
7622 101790 female 22 159.4 80.4 NH Black
7623 101791 female 1 NA 9.3 NH White
7624 101792 male 7 129.6 33.6 NH White
7625 101793 male 57 175.4 83.5 Other Hispanic
7626 101794 male 63 169.3 89.9 Mexican
7627 101795 female 40 153.8 63.2 Mexican
7628 101796 female 12 168.8 70.6 Mexican
7629 101797 male 1 NA 14.6 NH White
7630 101798 male 8 136.7 29.1 NH White
7631 101799 female 28 168.7 47.0 NH White
7632 101800 male 6 129.2 29.1 NH Black
7633 101801 female 11 159.8 49.9 NH Asian
7634 101802 female 57 171.0 59.6 Other/Mixed
7635 101803 female 3 102.6 17.2 Mexican
7636 101804 male 9 140.6 50.9 NH Black
7637 101806 female 16 156.4 47.6 Mexican
7638 101807 female 79 139.7 44.6 NH Asian
7639 101808 male 10 143.8 33.2 Other/Mixed
7640 101809 male 61 188.3 139.6 NH White
7641 101810 male 8 136.9 30.7 Mexican
7642 101811 male 69 168.9 79.7 Other Hispanic
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7645 101815 female 6 123.9 33.7 Other/Mixed
7646 101816 female 0 NA 10.1 NH Black
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7648 101818 male 19 172.6 83.8 NH White
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7650 101820 male 9 117.2 21.7 Mexican
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7653 101823 male 67 167.4 79.0 NH Black
7654 101824 female 64 152.7 88.3 NH Black
7655 101825 male 16 181.9 90.0 NH White
7656 101826 male 15 177.2 61.6 NH Black
7657 101827 male 4 99.0 14.6 NH Asian
7658 101828 female 32 159.6 73.8 NH Asian
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7660 101830 female 45 164.9 99.3 NH Black
7661 101831 female 3 100.9 19.4 NH White
7662 101832 female 59 167.6 84.6 NH White
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7665 101835 male 11 147.9 40.5 NH Black
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7667 101837 female 72 152.4 56.9 Mexican
7668 101838 female 30 157.2 67.2 NH White
7669 101839 female 74 157.0 73.7 Other/Mixed
7670 101840 male 74 170.3 99.0 NH White
7671 101841 male 48 179.1 89.7 NH Black
7672 101842 female 30 160.8 74.9 NH Asian
7673 101843 female 77 150.6 66.4 NH White
7674 101844 female 21 154.2 88.5 NH Asian
7675 101845 female 38 165.3 91.4 Other/Mixed
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7677 101847 female 63 160.0 85.9 NH Black
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7680 101850 male 28 182.9 100.9 Mexican
7681 101851 male 40 152.9 63.9 Other Hispanic
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7683 101853 male 30 169.5 86.2 Mexican
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7685 101855 female 11 156.6 79.2 NH Black
7686 101857 female 7 132.4 27.3 NH Asian
7687 101858 male 13 158.9 55.5 NH Black
7688 101859 female 64 166.4 83.6 Other/Mixed
7689 101860 female 77 154.4 69.0 NH Asian
7690 101861 female 49 160.8 68.2 NH White
7691 101862 male 37 166.7 103.5 Mexican
7692 101863 male 12 147.1 68.9 NH Asian
7693 101864 female 72 151.5 59.3 NH Asian
7694 101865 female 53 180.0 82.7 NH Black
7695 101866 male 52 174.6 98.7 NH Black
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7698 101869 male 16 182.3 77.0 Mexican
7699 101870 female 66 162.4 66.8 NH White
7700 101871 female 36 163.6 81.1 NH White
7701 101872 male 8 124.2 24.5 NH White
7702 101873 male 8 127.3 26.4 Other/Mixed
7703 101874 female 63 153.3 49.1 NH Asian
7704 101875 female 49 151.5 65.7 NH Asian
7705 101876 female 38 157.2 89.1 NH Black
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7708 101880 male 21 177.7 107.6 Other/Mixed
7709 101881 male 1 NA 9.3 NH Black
7710 101882 female 52 162.0 71.6 NH Black
7711 101883 male 76 167.9 80.2 NH White
7712 101884 male 70 161.8 81.0 NH White
7713 101885 female 43 172.5 63.2 NH White
7714 101887 male 5 108.3 20.5 Mexican
7715 101888 male 60 163.6 79.8 Other Hispanic
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7717 101890 male 8 119.4 22.3 Mexican
7718 101892 male 6 123.5 24.8 NH Black
7719 101893 male 23 171.9 113.1 Mexican
7720 101894 female 46 168.3 60.6 Other/Mixed
7721 101895 female 78 145.9 64.1 Other Hispanic
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7723 101897 female 0 NA 5.4 NH White
7724 101898 female 13 144.8 34.6 NH Asian
7725 101899 male 36 179.9 68.8 NH Black
7726 101900 female 5 109.6 21.8 NH Black
7727 101901 female 25 163.1 50.3 NH Black
7728 101902 male 10 137.9 39.1 NH White
7729 101903 female 33 155.9 77.1 Mexican
7730 101904 female 33 160.5 74.7 NH Black
7731 101905 male 70 184.2 90.0 NH Black
7732 101906 male 0 NA 10.3 NH White
7733 101907 female 13 161.4 78.7 NH Black
7734 101908 female 1 NA 12.5 Other/Mixed
7735 101909 male 0 NA 9.3 NH White
7736 101910 female 80 155.3 74.2 NH White
7737 101911 female 22 174.6 158.7 NH Black
7738 101912 female 31 153.9 48.9 NH Asian
7739 101913 female 12 170.7 49.9 NH White
7740 101914 female 7 128.1 34.7 NH White
7741 101915 female 69 161.5 101.5 NH White
7742 101916 male 0 NA 10.4 Mexican
7743 101917 male 66 175.8 95.6 Other Hispanic
7744 101918 female 7 116.4 22.6 NH White
7745 101919 male 33 178.3 87.2 NH Asian
7746 101920 male 48 154.4 74.3 NH Asian
7747 101922 male 55 164.3 64.0 NH Asian
7748 101923 female 12 156.6 70.4 NH Black
7749 101924 male 77 175.9 140.4 NH Black
7750 101926 female 8 142.4 54.9 Mexican
7751 101927 female 5 116.6 21.3 NH Black
7752 101928 female 42 164.1 105.1 NH Black
7753 101929 female 6 129.3 27.7 NH Black
7754 101930 male 8 128.5 30.2 Other Hispanic
7755 101931 female 15 164.8 90.1 Mexican
7756 101932 male 10 137.2 33.3 Other/Mixed
7757 101933 female 9 132.2 27.9 Other/Mixed
7758 101934 female 64 167.9 95.0 Other/Mixed
7759 101936 female 80 154.2 106.3 NH Black
7760 101937 male 24 NA NA Other/Mixed
7761 101938 male 19 168.7 76.1 NH Asian
7762 101939 female 10 143.8 52.5 Mexican
7763 101941 female 44 161.8 113.4 NH Black
7764 101942 female 17 172.6 116.5 NH Black
7765 101943 female 13 154.1 58.6 Other Hispanic
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7767 101945 male 74 172.5 56.8 NH White
7768 101946 male 1 NA 9.9 NH White
7769 101947 male 66 166.5 90.9 NH Black
7770 101948 female 2 91.1 12.7 NH White
7771 101949 male 79 166.7 70.0 NH White
7772 101950 male 54 173.0 106.7 NH White
7773 101951 female 19 167.3 96.2 NH Black
7774 101952 male 9 136.2 38.1 Mexican
7775 101953 male 3 100.5 16.8 NH White
7776 101954 female 1 NA 10.0 Mexican
7777 101955 female 1 NA 13.3 Mexican
7778 101956 male 2 92.3 13.7 Other/Mixed
7779 101957 female 35 149.2 58.1 NH Asian
7780 101958 male 4 102.9 16.6 NH White
7781 101959 female 70 158.6 75.0 NH White
7782 101961 female 4 112.1 22.2 NH Black
7783 101962 male 79 173.7 96.8 NH White
7784 101963 male 0 NA 10.0 NH White
7785 101965 female 44 150.0 64.1 NH Asian
7786 101966 male 24 163.6 54.2 Other Hispanic
7787 101967 female 10 142.7 34.0 Mexican
7788 101968 male 7 NA NA NH Black
7789 101969 female 6 125.6 39.7 Mexican
7790 101970 male 2 95.8 13.4 Mexican
7791 101971 male 24 193.3 73.1 NH Black
7792 101972 female 15 155.1 51.6 NH Black
7793 101973 female 37 165.1 102.5 NH Black
7794 101974 male 4 101.9 17.0 NH White
7795 101976 male 38 174.7 85.3 NH Asian
7796 101977 male 45 186.2 118.8 NH Black
7797 101978 female 44 164.8 95.4 NH Black
7798 101979 male 1 NA 10.7 NH Black
7799 101980 female 35 162.6 44.4 NH White
7800 101981 female 67 148.4 49.1 NH Asian
7801 101983 male 7 125.1 24.9 NH Asian
7802 101984 female 7 113.2 20.4 Mexican
7803 101985 male 27 169.9 108.5 NH Black
7804 101986 female 19 157.5 88.5 NH White
7805 101987 male 66 177.0 97.2 NH White
7806 101988 female 12 157.6 73.5 NH White
7807 101989 male 80 161.5 70.4 Mexican
7808 101990 female 23 161.5 118.8 NH White
7809 101993 female 67 170.7 67.8 NH White
7810 101994 female 5 117.0 24.5 Other/Mixed
7811 101995 male 59 168.7 101.9 NH White
7812 101996 male 12 161.3 52.2 NH Black
7813 101997 male 14 165.7 52.0 NH Asian
7814 101998 female 4 106.7 15.0 Other/Mixed
7815 101999 female 6 132.1 25.3 Other/Mixed
7816 102000 female 63 166.8 72.5 NH Black
7817 102001 male 63 179.6 102.3 Other Hispanic
7818 102002 male 77 175.5 168.3 NH White
7819 102003 male 25 185.8 79.6 Other/Mixed
7820 102004 male 13 152.0 35.5 NH White
7821 102005 female 36 168.9 127.6 NH White
7822 102007 female 55 144.9 47.4 NH Asian
7823 102008 female 47 159.8 51.5 NH White
7824 102009 male 11 160.3 84.5 NH Black
7825 102010 female 10 135.8 34.3 NH Asian
7826 102011 female 1 NA 11.0 Mexican
7827 102012 female 48 151.6 125.6 NH Black
7828 102013 male 6 115.8 22.3 NH White
7829 102014 male 2 101.3 17.2 NH Black
7830 102015 female 20 160.8 67.9 NH White
7831 102016 male 8 131.4 40.0 Other Hispanic
7832 102017 male 11 157.6 38.7 Other Hispanic
7833 102018 female 69 160.0 86.0 NH Black
7834 102019 female 19 153.1 54.2 NH White
7835 102021 female 65 152.2 66.2 NH Asian
7836 102022 male 46 180.0 100.6 NH White
7837 102023 female 0 NA 10.3 Mexican
7838 102024 male 37 173.8 109.2 NH White
7839 102026 female 24 176.4 59.5 NH White
7840 102027 male 67 164.9 102.2 NH White
7841 102028 male 24 175.7 63.6 NH Asian
7842 102029 female 2 85.4 11.0 NH Asian
7843 102030 female 50 158.2 87.0 Mexican
7844 102031 female 61 159.4 80.7 NH White
7845 102032 female 67 177.5 167.9 NH Black
7846 102033 female 5 116.7 25.8 Other/Mixed
7847 102034 male 0 NA 8.6 Mexican
7848 102035 female 32 170.0 77.0 NH White
7849 102037 female 21 157.8 53.8 Mexican
7850 102038 male 5 109.3 17.0 NH White
7851 102039 male 22 176.4 71.7 NH White
7852 102040 female 10 148.4 35.3 NH Asian
7853 102041 male 42 188.6 91.1 NH White
7854 102043 female 5 118.4 26.5 NH White
7855 102044 female 33 153.5 62.4 NH Black
7856 102045 male 55 180.7 161.3 NH White
7857 102046 female 32 159.3 58.7 NH Asian
7858 102047 female 62 164.1 71.5 Other Hispanic
7859 102048 female 78 150.7 65.2 Other Hispanic
7860 102049 female 6 130.3 43.0 Other Hispanic
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7862 102051 male 16 180.5 87.8 NH White
7863 102052 female 80 149.1 88.0 Mexican
7864 102053 male 4 100.3 16.2 NH White
7865 102054 female 68 163.0 63.9 NH White
7866 102055 female 69 158.8 104.4 NH White
7867 102056 female 12 145.0 45.7 Mexican
7868 102057 male 70 175.1 85.4 NH White
7869 102058 female 68 155.2 82.6 NH White
7870 102060 female 80 154.1 60.3 NH White
7871 102061 female 14 171.4 67.1 NH White
7872 102062 female 18 NA NA NH White
7873 102063 male 9 130.9 29.9 NH White
7874 102064 female 35 156.3 65.8 Mexican
7875 102065 male 3 99.6 14.7 NH Black
7876 102066 male 6 115.8 21.1 NH White
7877 102067 male 55 175.8 83.0 NH White
7878 102068 female 65 149.0 78.6 NH Asian
7879 102069 male 10 148.5 63.6 NH Black
7880 102070 female 80 156.7 59.3 NH White
7881 102071 male 17 179.8 74.6 Other/Mixed
7882 102072 female 50 154.4 83.6 Mexican
7883 102073 male 43 173.5 88.6 NH White
7884 102074 female 35 160.3 86.7 NH Black
7885 102075 male 0 NA 7.2 Other/Mixed
7886 102077 male 17 164.4 60.0 NH Black
7887 102078 male 61 176.0 73.0 NH Black
7888 102079 female 60 147.3 72.9 NH Black
7889 102080 male 11 152.4 56.8 Other Hispanic
7890 102081 female 49 155.7 97.3 NH White
7891 102082 male 58 190.2 174.0 Other/Mixed
7892 102084 male 7 133.3 34.4 NH Black
7893 102086 female 18 158.2 94.7 NH Black
7894 102087 male 9 137.9 29.5 Other Hispanic
7895 102088 female 29 165.9 87.3 NH White
7896 102089 male 11 149.3 55.4 Other Hispanic
7897 102090 male 12 166.5 70.9 Mexican
7898 102091 male 32 192.2 132.3 NH Black
7899 102092 male 60 165.1 75.4 Other Hispanic
7900 102093 female 21 155.0 69.6 Other Hispanic
7901 102094 female 1 NA 9.2 NH White
7902 102095 male 2 91.0 16.6 NH Black
7903 102096 male 20 172.0 81.9 Other Hispanic
7904 102097 male 4 105.5 23.8 Other Hispanic
7905 102098 male 17 173.3 105.8 NH Asian
7906 102099 female 32 163.2 128.9 NH White
7907 102100 female 75 159.9 75.1 NH Black
7908 102101 male 20 178.7 95.4 Mexican
7909 102102 female 17 157.5 59.3 NH White
7910 102103 male 37 165.0 69.8 Other/Mixed
7911 102105 female 24 165.8 111.6 NH Black
7912 102106 male 64 171.9 100.8 NH Black
7913 102107 male 31 169.7 70.5 Other/Mixed
7914 102108 male 0 NA 8.9 Mexican
7915 102109 male 0 NA 9.1 NH Black
7916 102110 male 7 125.0 21.2 NH White
7917 102111 male 53 176.9 84.5 Other Hispanic
7918 102112 female 33 161.5 42.3 NH Black
7919 102113 female 26 160.3 75.5 Mexican
7920 102114 female 14 159.2 61.4 NH White
7921 102115 female 15 155.1 41.4 NH Asian
7922 102116 female 75 163.5 61.9 NH Black
7923 102117 male 74 175.4 67.3 NH Asian
7924 102118 male 0 NA 5.6 NH Black
7925 102119 male 5 109.3 19.9 NH White
7926 102121 female 53 158.4 71.1 Mexican
7927 102122 female 17 159.2 74.4 NH Asian
7928 102123 male 18 186.2 80.1 NH Black
7929 102124 female 14 169.0 63.5 NH White
7930 102126 female 23 182.4 78.2 Other Hispanic
7931 102127 male 2 97.6 15.1 NH Black
7932 102128 male 21 178.4 59.8 NH Black
7933 102129 male 34 183.6 110.8 Mexican
7934 102130 male 56 167.7 89.9 NH White
7935 102131 male 69 163.9 66.1 NH Asian
7936 102132 female 39 157.0 101.1 Mexican
7937 102133 female 19 161.9 62.1 NH White
7938 102134 female 42 164.2 79.1 NH White
7939 102135 male 24 175.6 64.8 NH Black
7940 102136 female 7 118.1 27.0 Other Hispanic
7941 102137 male 67 172.5 83.8 NH Black
7942 102138 male 11 141.1 35.6 Other/Mixed
7943 102139 male 31 170.8 87.1 Other/Mixed
7944 102141 male 19 180.4 84.7 Mexican
7945 102142 female 0 NA 7.1 NH White
7946 102143 female 15 149.9 62.7 Other Hispanic
7947 102145 male 12 163.5 80.0 NH Black
7948 102146 male 3 102.2 17.5 NH White
7949 102147 female 55 161.7 58.4 Other/Mixed
7950 102148 female 80 158.3 73.7 NH Black
7951 102149 female 27 158.0 81.7 NH Black
7952 102150 male 12 147.4 37.2 NH White
7953 102151 female 44 161.4 58.2 NH Asian
7954 102152 male 44 172.9 71.4 NH Asian
7955 102153 female 77 157.8 77.0 Mexican
7956 102154 male 41 179.8 105.9 Mexican
7957 102155 male 47 166.8 84.5 Mexican
7958 102156 female 0 NA 6.5 NH White
7959 102157 male 14 172.3 91.7 Other Hispanic
7960 102158 female 80 NA NA NH Black
7961 102159 female 2 88.5 11.1 NH White
7962 102160 female 31 156.0 51.7 NH Asian
7963 102161 male 19 155.9 61.1 NH Black
7964 102162 female 80 150.6 62.6 NH White
7965 102163 male 23 NA NA NH White
7966 102164 female 0 NA 5.6 NH Asian
7967 102165 male 14 174.8 84.0 Mexican
7968 102166 male 15 187.0 113.2 NH White
7969 102167 female 80 157.8 56.4 NH White
7970 102168 female 59 164.9 78.6 NH Black
7971 102169 female 66 165.3 75.6 NH White
7972 102170 male 64 169.3 65.4 NH Black
7973 102171 female 77 154.4 49.4 NH Asian
7974 102172 female 3 97.2 14.8 Other/Mixed
7975 102173 female 64 172.3 76.7 NH White
7976 102174 male 8 136.5 38.1 NH Asian
7977 102175 female 13 161.9 77.6 NH Black
7978 102176 female 0 NA 6.9 NH Black
7979 102177 male 80 161.1 63.1 NH White
7980 102178 female 61 159.7 86.9 NH Black
7981 102179 male 42 179.1 128.5 NH Black
7982 102180 male 2 101.1 16.5 Other/Mixed
7983 102181 female 43 162.3 84.5 NH Black
7984 102182 male 41 174.1 68.6 NH Asian
7985 102183 male 68 182.2 93.6 NH White
7986 102184 female 25 151.5 87.5 NH Asian
7987 102185 male 45 181.7 138.3 NH Black
7988 102187 male 20 171.7 80.8 NH Black
7989 102188 female 9 134.0 37.4 NH White
7990 102189 male 18 177.7 80.7 NH White
7991 102190 female 16 176.2 144.8 NH White
7992 102191 male 58 179.3 108.3 NH White
7993 102192 male 65 175.4 107.7 NH White
7994 102193 male 36 165.0 72.2 NH Asian
7995 102194 female 36 155.3 98.6 Mexican
7996 102195 male 0 NA 9.4 Mexican
7997 102196 female 38 158.4 65.2 NH White
7998 102197 female 11 148.8 60.2 NH Black
7999 102198 female 63 155.4 95.5 Mexican
8000 102199 male 57 178.3 118.5 Other Hispanic
8001 102200 female 11 148.5 41.9 NH White
8002 102201 female 47 172.4 61.5 NH Black
8003 102202 female 23 164.2 57.6 Other/Mixed
8004 102204 female 49 170.9 78.9 NH White
8005 102205 female 9 129.6 34.6 Mexican
8006 102206 male 9 125.2 25.6 Mexican
8007 102207 male 42 180.0 89.2 NH Asian
8008 102208 female 14 162.6 62.8 NH White
8009 102210 male 68 172.4 74.3 NH Black
8010 102211 male 37 192.5 129.1 Mexican
8011 102212 female 31 159.0 62.4 NH White
8012 102214 female 77 157.7 83.4 Other Hispanic
8013 102215 male 48 181.9 100.4 NH White
8014 102216 female 1 NA 10.4 NH White
8015 102217 male 27 182.4 92.1 NH Black
8016 102218 female 48 165.7 61.6 NH Black
8017 102219 male 54 174.7 79.8 NH Black
8018 102220 female 0 NA 8.9 NH White
8019 102221 male 38 156.4 73.2 Mexican
8020 102223 female 36 158.0 57.7 NH White
8021 102224 male 19 176.5 75.6 NH Asian
8022 102225 male 41 192.5 103.1 NH White
8023 102226 male 26 185.1 93.7 NH Asian
8024 102227 female 8 125.4 28.9 Mexican
8025 102228 female 11 158.6 39.2 Other/Mixed
8026 102229 male 57 169.1 83.3 Mexican
8027 102230 male 3 100.6 17.4 NH Black
8028 102231 female 15 158.2 109.8 Mexican
8029 102232 male 22 177.4 60.8 NH Asian
8030 102233 male 5 116.5 23.8 NH White
8031 102234 male 41 180.4 145.3 NH White
8032 102235 female 11 152.4 40.8 NH White
8033 102236 female 5 115.0 20.6 NH White
8034 102237 female 2 94.4 14.6 NH Black
8035 102238 female 49 162.0 148.4 NH White
8036 102239 male 23 171.2 94.2 NH Asian
8037 102240 male 60 178.4 109.1 NH White
8038 102241 female 80 159.7 71.6 NH Black
8039 102242 male 23 167.4 54.4 NH White
8040 102243 male 60 166.1 77.9 NH Asian
8041 102244 male 42 191.1 125.3 NH Black
8042 102245 female 64 154.7 45.4 Other/Mixed
8043 102246 female 0 NA 4.2 Other Hispanic
8044 102247 female 0 NA 9.6 NH White
8045 102248 male 48 166.8 71.0 NH Asian
8046 102249 male 22 177.8 68.2 NH White
8047 102250 male 34 177.0 85.8 NH White
8048 102251 male 75 186.7 107.0 Mexican
8049 102252 female 10 142.2 48.5 Mexican
8050 102253 female 6 114.5 18.8 Other Hispanic
8051 102254 female 38 155.7 67.7 Mexican
8052 102255 female 24 165.2 73.3 NH White
8053 102256 male 40 181.2 84.7 Other Hispanic
8054 102257 female 1 NA 13.8 NH Black
8055 102258 female 51 152.2 45.2 Other Hispanic
8056 102259 female 56 154.1 66.7 NH Black
8057 102260 female 65 163.4 70.5 NH White
8058 102261 female 12 160.0 53.6 NH White
8059 102262 female 13 164.0 83.8 NH Black
8060 102263 male 79 169.9 91.6 NH White
8061 102264 female 18 159.4 48.1 NH White
8062 102265 male 34 184.3 67.9 NH White
8063 102266 female 70 161.7 52.4 NH Black
8064 102267 female 77 152.9 120.6 NH Black
8065 102268 female 10 134.3 28.8 Mexican
8066 102269 female 54 149.9 83.5 NH Black
8067 102270 male 16 187.9 90.4 NH Asian
8068 102271 male 79 174.0 71.9 NH Asian
8069 102272 female 26 169.6 74.4 NH White
8070 102274 male 14 164.6 50.5 Other Hispanic
8071 102275 female 13 167.8 107.6 NH Black
8072 102276 female 79 163.4 78.6 NH Black
8073 102277 female 7 138.3 34.1 NH Black
8074 102278 female 36 168.7 111.3 Mexican
8075 102279 male 38 184.4 108.0 Mexican
8076 102280 male 0 NA 8.8 NH White
8077 102281 female 54 151.9 64.1 NH Asian
8078 102282 female 0 NA 7.9 Mexican
8079 102283 female 22 158.5 78.6 NH White
8080 102284 male 18 174.0 81.4 NH White
8081 102285 male 37 172.9 57.7 NH Black
8082 102286 male 0 NA 6.7 NH White
8083 102287 male 17 163.0 54.3 NH Black
8084 102288 male 32 176.9 102.1 NH Asian
8085 102289 female 18 161.2 119.4 NH Black
8086 102290 female 5 109.3 17.0 NH White
8087 102292 female 6 118.9 20.3 NH White
8088 102293 female 4 98.2 14.0 NH White
8089 102294 female 17 172.0 65.5 NH White
8090 102295 male 1 NA 9.6 NH Black
8091 102296 female 62 163.5 74.7 NH Black
8092 102297 male 14 165.0 58.9 NH White
8093 102298 female 19 158.3 52.1 NH Black
8094 102299 female 12 164.0 61.3 Mexican
8095 102300 male 74 170.1 84.3 NH White
8096 102301 male 78 165.8 87.4 NH White
8097 102302 female 40 NA NA Other Hispanic
8098 102303 female 8 123.1 28.1 NH Black
8099 102304 female 6 108.5 20.3 NH White
8100 102305 male 13 160.3 55.4 Mexican
8101 102306 male 71 170.1 80.5 Other/Mixed
8102 102307 female 79 161.5 87.3 NH White
8103 102308 male 2 92.6 15.2 NH White
8104 102309 female 55 157.3 95.6 NH White
8105 102311 male 33 185.4 100.4 Other Hispanic
8106 102312 female 16 159.6 62.6 Mexican
8107 102313 male 80 177.4 98.5 NH White
8108 102314 male 13 168.4 45.7 NH White
8109 102315 female 39 153.8 50.0 NH Asian
8110 102316 male 14 172.6 77.4 NH White
8111 102317 male 59 189.0 129.0 NH White
8112 102319 male 5 115.8 21.4 NH White
8113 102320 female 63 146.0 61.6 NH Black
8114 102321 male 56 170.5 86.0 Mexican
8115 102322 male 45 172.2 56.3 NH Black
8116 102323 female 19 155.5 48.2 Other Hispanic
8117 102324 female 28 177.2 90.6 Mexican
8118 102325 female 7 119.2 21.6 NH Black
8119 102326 female 72 151.1 62.8 Other Hispanic
8120 102327 male 16 191.2 107.4 Other/Mixed
8121 102328 female 80 160.9 47.1 NH White
8122 102329 male 72 167.8 96.8 Mexican
8123 102330 male 18 172.4 65.6 Mexican
8124 102331 male 53 171.6 72.5 NH White
8125 102332 male 5 117.1 21.6 NH Black
8126 102333 female 50 165.5 125.8 NH Black
8127 102334 male 25 179.9 99.0 NH White
8128 102335 male 18 164.5 71.3 NH Asian
8129 102336 male 33 174.7 80.0 NH White
8130 102337 male 68 169.0 96.1 Other Hispanic
8131 102338 male 54 195.6 110.5 NH White
8132 102339 female 16 163.2 67.1 Mexican
8133 102340 male 33 173.3 65.0 NH White
8134 102341 female 39 167.3 92.8 NH White
8135 102342 male 52 170.3 81.0 Other Hispanic
8136 102344 female 34 150.6 42.3 NH Asian
8137 102345 female 39 165.2 113.1 NH Black
8138 102346 female 37 169.5 145.6 NH White
8139 102348 female 27 158.8 109.4 Mexican
8140 102349 female 67 148.5 58.3 NH Asian
8141 102350 male 36 168.5 77.8 Mexican
8142 102351 female 4 102.8 18.4 NH Black
8143 102352 male 31 180.2 80.2 NH White
8144 102353 male 64 172.8 76.2 NH White
8145 102354 male 11 152.7 76.7 NH White
8146 102355 male 33 166.8 149.4 NH Asian
8147 102356 male 22 167.8 77.5 Other Hispanic
8148 102357 female 3 NA NA NH White
8149 102358 female 31 159.6 57.1 NH Asian
8150 102359 female 39 151.8 55.1 NH Asian
8151 102360 female 28 160.4 100.8 NH Black
8152 102361 male 31 177.1 78.5 Other/Mixed
8153 102362 male 80 179.3 93.3 NH White
8154 102364 female 33 170.6 85.3 NH White
8155 102365 male 75 164.4 69.4 NH White
8156 102366 female 18 159.8 79.5 Mexican
8157 102367 female 66 NA NA NH Black
8158 102368 male 67 178.4 98.5 NH White
8159 102369 female 42 149.6 62.3 Mexican
8160 102370 female 80 163.0 67.1 NH White
8161 102371 male 54 178.5 85.4 NH Black
8162 102372 male 80 165.1 90.3 NH White
8163 102373 male 31 174.0 90.9 Mexican
8164 102375 female 4 109.0 17.1 NH Black
8165 102376 female 11 150.7 66.1 NH White
8166 102377 female 59 147.9 59.7 Mexican
8167 102378 female 40 155.4 69.9 Mexican
8168 102379 female 71 141.5 79.2 Other Hispanic
8169 102380 female 26 164.1 78.7 NH Black
8170 102381 male 42 184.6 113.8 NH White
8171 102382 male 44 169.9 71.9 Other/Mixed
8172 102383 female 26 150.4 55.7 Mexican
8173 102384 male 9 148.6 43.3 NH White
8174 102385 male 15 169.8 54.8 Other/Mixed
8175 102386 female 27 153.8 74.8 NH Asian
8176 102387 male 68 175.6 93.1 NH White
8177 102388 male 2 92.6 13.2 NH White
8178 102389 female 71 163.7 85.8 NH Black
8179 102391 male 31 NA NA NH Asian
8180 102392 female 80 152.8 72.4 NH White
8181 102393 female 20 171.0 52.6 NH White
8182 102394 female 14 161.5 64.9 NH White
8183 102395 male 25 173.4 98.3 Mexican
8184 102396 male 45 180.3 101.7 Other/Mixed
8185 102397 female 73 162.7 70.9 NH White
8186 102399 male 80 186.6 119.5 NH White
8187 102400 male 42 173.2 77.1 Mexican
8188 102401 female 44 153.2 46.4 Other Hispanic
8189 102402 male 9 142.7 61.3 Other/Mixed
8190 102403 male 7 126.7 29.7 NH Asian
8191 102404 male 16 172.6 68.1 NH White
8192 102405 male 49 185.5 109.9 Mexican
8193 102406 male 11 153.4 67.4 NH Black
8194 102407 female 75 160.2 124.9 NH White
8195 102408 male 7 121.5 28.7 NH Black
8196 102409 male 2 90.6 13.2 NH Black
8197 102410 male 44 175.7 111.4 Mexican
8198 102411 male 80 169.9 70.0 NH White
8199 102412 male 11 158.7 55.7 Mexican
8200 102413 male 9 131.0 27.2 NH Black
8201 102414 male 19 175.9 75.4 Other/Mixed
8202 102415 female 54 153.4 90.5 Other Hispanic
8203 102416 female 19 170.0 82.0 Mexican
8204 102418 male 63 188.8 103.2 NH White
8205 102419 male 32 180.8 79.4 Other/Mixed
8206 102420 female 70 157.2 63.1 Mexican
8207 102421 female 57 158.0 57.6 Other Hispanic
8208 102423 female 62 163.9 89.3 NH Black
8209 102424 male 37 176.4 70.6 NH Asian
8210 102425 male 33 173.7 111.2 Other/Mixed
8211 102426 male 10 132.4 31.9 Other/Mixed
8212 102427 male 63 164.7 88.7 Mexican
8213 102428 male 41 182.5 153.4 NH White
8214 102429 female 38 163.1 96.0 Mexican
8215 102431 male 19 178.7 86.2 Other Hispanic
8216 102432 male 33 177.6 134.2 NH White
8217 102433 male 15 168.7 60.1 Mexican
8218 102434 female 44 165.3 111.1 NH Black
8219 102435 female 9 142.8 35.1 NH White
8220 102436 female 56 161.1 60.2 NH White
8221 102437 male 3 90.6 14.3 NH White
8222 102439 female 5 118.4 29.4 NH Black
8223 102440 female 16 159.1 49.1 NH Asian
8224 102441 female 13 150.2 39.7 NH White
8225 102442 female 62 154.2 68.6 NH White
8226 102443 female 56 153.3 46.5 NH White
8227 102444 male 58 171.4 120.2 NH White
8228 102445 female 80 153.5 56.2 Mexican
8229 102446 female 0 NA 7.9 NH Black
8230 102447 female 79 163.8 51.0 NH Black
8231 102448 male 3 102.3 16.4 NH Black
8232 102450 male 39 182.4 186.5 NH White
8233 102451 male 1 NA 12.9 NH White
8234 102452 female 60 152.0 79.8 Mexican
8235 102453 male 13 155.2 41.8 NH Black
8236 102454 female 34 167.4 65.9 Mexican
8237 102455 male 66 181.5 86.4 NH Black
8238 102456 female 29 156.6 104.8 Other/Mixed
8239 102457 male 58 172.1 73.2 NH White
8240 102458 male 34 172.8 60.9 NH Black
8241 102459 female 9 128.7 22.1 NH White
8242 102460 female 25 168.9 60.7 NH White
8243 102461 female 28 148.8 54.3 NH Asian
8244 102462 male 5 111.7 17.7 Mexican
8245 102463 male 15 176.3 74.4 NH White
8246 102464 male 46 172.9 78.7 NH White
8247 102465 male 79 162.0 65.4 NH Asian
8248 102466 male 34 195.8 89.9 NH White
8249 102467 female 58 162.4 92.0 NH Black
8250 102468 female 16 159.4 63.6 NH Asian
8251 102469 male 33 185.0 105.3 NH White
8252 102470 male 0 NA 10.5 NH White
8253 102471 female 62 149.3 58.7 Other Hispanic
8254 102472 male 41 182.4 107.4 NH Black
8255 102473 female 41 154.0 62.5 Other Hispanic
8256 102474 female 52 156.7 103.7 Other/Mixed
8257 102475 male 38 157.7 70.4 Mexican
8258 102476 female 12 NA NA NH Black
8259 102477 male 1 NA 11.9 NH White
8260 102478 male 60 173.6 100.1 NH Black
8261 102480 male 77 170.0 92.7 NH Black
8262 102481 female 9 133.9 37.3 NH White
8263 102482 male 36 165.3 89.5 NH White
8264 102483 female 60 164.9 99.6 NH White
8265 102484 female 9 NA 73.8 NH Black
8266 102486 female 21 156.5 83.7 NH Asian
8267 102487 female 19 164.2 42.3 NH Asian
8268 102488 male 29 163.7 76.5 Other Hispanic
8269 102489 male 73 178.4 99.2 NH White
8270 102490 female 71 149.5 57.4 NH Asian
8271 102492 male 31 182.7 100.9 NH Black
8272 102493 male 79 170.1 98.5 NH White
8273 102494 male 76 175.5 81.8 NH White
8274 102495 male 33 168.3 71.7 NH White
8275 102496 male 3 102.8 17.4 NH White
8276 102497 male 75 166.2 72.8 NH White
8277 102498 female 16 166.4 66.0 NH Asian
8278 102499 female 10 148.8 53.7 NH White
8279 102500 male 15 173.4 92.2 Other/Mixed
8280 102501 male 45 173.4 110.0 NH White
8281 102502 male 0 NA 8.1 NH Black
8282 102503 male 3 101.3 14.3 NH White
8283 102504 female 80 156.2 49.0 NH White
8284 102505 male 38 173.9 97.7 Mexican
8285 102506 female 51 158.3 69.4 Other Hispanic
8286 102507 male 24 NA NA Mexican
8287 102508 female 68 167.2 82.6 NH Black
8288 102509 male 62 148.2 42.8 Mexican
8289 102510 female 11 151.2 48.3 NH White
8290 102512 female 59 174.1 93.9 NH White
8291 102513 female 15 156.1 96.1 NH White
8292 102514 male 33 175.6 96.3 Other/Mixed
8293 102515 male 56 174.6 75.8 NH White
8294 102516 male 46 183.7 135.8 NH White
8295 102517 female 63 146.1 68.1 Other Hispanic
8296 102518 female 44 152.7 91.1 Mexican
8297 102519 female 0 NA 8.7 NH Black
8298 102520 male 63 166.5 86.3 Other Hispanic
8299 102521 female 8 127.0 32.4 NH White
8300 102522 male 60 171.4 84.2 Mexican
8301 102523 male 0 NA 5.5 NH White
8302 102524 male 63 170.0 82.8 Mexican
8303 102526 male 42 172.4 114.8 NH Black
8304 102527 female 0 NA 6.1 NH White
8305 102528 male 64 163.1 75.8 NH White
8306 102529 male 80 172.2 60.4 NH Black
8307 102531 female 10 156.8 59.8 NH Black
8308 102532 female 34 162.7 84.5 NH Black
8309 102533 male 55 181.4 127.9 Mexican
8310 102534 male 19 171.3 69.7 Mexican
8311 102535 male 4 101.6 15.5 Other/Mixed
8312 102536 male 2 94.5 17.9 Mexican
8313 102537 female 1 NA 10.2 Other/Mixed
8314 102538 female 14 169.2 56.0 NH Black
8315 102539 female 11 153.7 72.5 NH White
8316 102540 female 10 147.5 89.0 NH Black
8317 102541 male 26 185.3 77.3 Other/Mixed
8318 102542 female 66 148.3 68.1 Other Hispanic
8319 102543 female 12 155.7 63.4 NH Black
8320 102544 male 80 172.6 89.3 NH White
8321 102546 male 41 NA 68.2 NH Asian
8322 102547 female 8 136.3 45.3 Mexican
8323 102548 female 28 164.7 88.9 Other/Mixed
8324 102549 male 12 169.0 64.6 Mexican
8325 102550 male 9 135.7 34.0 NH Black
8326 102551 female 58 168.4 124.9 NH Black
8327 102552 female 9 138.0 38.2 NH Asian
8328 102553 male 50 161.7 68.7 NH Asian
8329 102554 male 66 171.3 66.7 Other/Mixed
8330 102556 male 50 178.9 106.0 Other Hispanic
8331 102558 female 0 NA 7.9 Other Hispanic
8332 102559 male 53 162.0 76.7 Mexican
8333 102560 male 33 170.3 197.7 Other/Mixed
8334 102561 male 9 125.9 25.8 Other/Mixed
8335 102562 female 38 157.5 67.3 Other Hispanic
8336 102563 male 0 NA 9.1 NH Black
8337 102564 male 1 NA 11.7 NH Black
8338 102565 male 5 112.8 24.6 Mexican
8339 102566 male 12 155.5 63.8 NH White
8340 102567 male 7 118.9 21.3 Other/Mixed
8341 102568 male 23 179.8 64.7 Other Hispanic
8342 102569 female 3 94.4 14.6 NH White
8343 102570 female 14 159.8 89.7 NH Black
8344 102571 female 10 151.7 68.3 NH Black
8345 102573 male 54 172.2 90.5 NH Black
8346 102574 male 68 167.4 104.3 Mexican
8347 102575 male 13 152.1 46.5 NH White
8348 102576 male 60 177.1 88.5 NH Black
8349 102577 male 15 166.9 74.2 NH White
8350 102578 male 70 173.3 90.2 NH Black
8351 102579 female 63 161.1 111.7 NH White
8352 102580 female 25 153.5 67.3 Mexican
8353 102581 male 50 168.2 61.5 NH Black
8354 102582 female 15 156.7 82.6 NH White
8355 102583 female 5 110.3 17.9 NH White
8356 102585 female 80 157.4 72.9 Mexican
8357 102586 male 52 163.0 72.3 Mexican
8358 102588 female 68 173.2 89.8 NH White
8359 102589 female 24 154.5 92.6 NH Black
8360 102590 male 80 NA NA NH White
8361 102591 female 59 153.8 74.3 NH White
8362 102592 female 14 149.9 62.0 Other/Mixed
8363 102593 male 39 169.1 64.8 NH Asian
8364 102595 female 18 168.7 75.3 NH White
8365 102597 female 70 161.1 100.3 NH White
8366 102598 female 75 158.2 52.6 NH Asian
8367 102599 female 15 169.6 56.3 NH Asian
8368 102600 male 34 178.4 88.8 NH Asian
8369 102601 female 8 120.3 30.4 NH Black
8370 102602 female 4 109.7 18.0 NH White
8371 102603 female 4 108.2 17.3 Other/Mixed
8372 102604 female 16 160.2 52.0 NH Asian
8373 102605 female 57 167.3 97.0 NH Black
8374 102606 male 65 164.9 56.1 NH Black
8375 102607 female 17 173.3 92.3 NH White
8376 102608 male 4 110.6 21.8 Other Hispanic
8377 102609 female 80 155.6 70.1 NH White
8378 102610 male 2 96.2 NA NH Asian
8379 102611 male 64 177.2 93.8 NH White
8380 102612 male 33 189.3 105.5 NH White
8381 102613 male 17 189.8 78.1 NH Black
8382 102615 male 79 168.3 61.3 NH White
8383 102616 female 56 159.5 58.9 NH White
8384 102617 female 63 157.9 83.5 NH White
8385 102618 female 70 152.8 62.6 Mexican
8386 102619 female 61 156.6 83.5 NH White
8387 102620 male 48 174.7 87.4 NH Asian
8388 102621 female 32 162.4 61.0 NH Black
8389 102622 male 46 178.4 97.4 NH White
8390 102623 male 66 169.6 81.7 NH White
8391 102624 male 56 177.2 96.0 NH Black
8392 102625 male 33 175.0 103.3 Other/Mixed
8393 102626 male 46 181.0 88.6 Mexican
8394 102627 female 11 153.9 48.6 NH White
8395 102628 female 69 161.0 75.9 NH White
8396 102629 female 73 152.7 58.5 Other Hispanic
8397 102630 male 2 NA 13.5 Other/Mixed
8398 102631 male 22 175.6 94.2 NH Black
8399 102632 male 17 156.4 60.1 NH Black
8400 102633 female 41 164.4 92.0 Other Hispanic
8401 102634 male 80 177.9 100.3 NH White
8402 102635 female 40 166.1 59.7 NH Asian
8403 102636 male 18 167.4 65.9 NH Asian
8404 102637 male 64 175.6 99.6 NH Black
8405 102638 female 26 168.7 63.6 NH White
8406 102639 male 7 127.3 24.9 NH White
8407 102640 female 11 158.8 60.6 NH Black
8408 102641 male 34 174.6 97.9 NH White
8409 102642 female 44 164.4 76.6 NH Asian
8410 102643 male 7 136.7 37.2 NH White
8411 102644 male 53 174.9 90.5 NH White
8412 102645 female 12 150.9 69.4 Other/Mixed
8413 102646 female 11 149.4 42.0 NH Black
8414 102647 female 8 145.1 66.9 NH Black
8415 102648 male 33 167.4 75.5 NH Black
8416 102649 male 57 186.3 117.0 NH Black
8417 102650 female 66 154.9 87.0 NH White
8418 102651 female 71 154.7 69.2 NH White
8419 102652 male 13 160.9 54.9 NH Black
8420 102653 female 25 156.8 51.8 Other Hispanic
8421 102654 male 5 108.9 18.0 Mexican
8422 102655 male 21 170.3 65.1 Other Hispanic
8423 102656 female 36 162.6 75.1 NH Asian
8424 102657 female 68 161.4 78.2 NH White
8425 102658 male 9 140.8 29.4 NH White
8426 102659 female 80 151.5 32.6 Mexican
8427 102660 female 19 156.4 89.7 Mexican
8428 102661 female 59 161.4 125.3 NH White
8429 102662 female 12 156.9 50.5 NH White
8430 102663 male 4 111.7 19.3 NH White
8431 102664 male 51 168.1 85.0 NH Asian
8432 102665 male 80 170.1 67.0 NH White
8433 102666 female 44 153.1 66.7 NH White
8434 102667 male 50 175.1 91.0 Mexican
8435 102668 female 39 159.5 45.0 NH White
8436 102669 male 32 180.7 64.2 NH Black
8437 102670 female 0 NA 8.2 Other Hispanic
8438 102671 male 80 NA NA NH White
8439 102672 female 21 172.6 65.2 NH Black
8440 102673 female 47 158.5 45.8 NH Asian
8441 102674 male 26 163.6 91.0 NH White
8442 102675 male 22 180.1 72.2 NH Black
8443 102676 male 22 173.9 72.5 Other/Mixed
8444 102677 male 60 170.5 70.4 NH White
8445 102678 male 6 118.0 23.6 Other/Mixed
8446 102679 male 80 182.6 97.6 NH White
8447 102680 male 80 182.9 76.2 NH White
8448 102682 female 33 158.4 72.6 NH Asian
8449 102683 male 65 168.1 91.3 Mexican
8450 102684 male 34 NA NA NH Asian
8451 102685 male 39 180.8 111.7 NH White
8452 102686 female 51 150.8 65.7 NH White
8453 102687 female 64 167.6 74.0 NH Black
8454 102688 female 53 169.4 80.3 NH White
8455 102689 male 24 172.5 48.4 NH White
8456 102690 male 9 135.2 27.3 NH Black
8457 102691 female 8 139.4 28.9 NH White
8458 102692 male 12 167.4 71.8 NH White
8459 102693 female 7 124.7 22.3 Other Hispanic
8460 102694 female 55 156.3 81.5 NH White
8461 102695 female 14 152.7 52.6 Other/Mixed
8462 102696 male 67 176.1 96.8 NH Black
8463 102697 male 75 178.1 71.3 NH Black
8464 102698 male 14 151.6 58.2 Other Hispanic
8465 102699 male 12 144.1 35.2 NH Asian
8466 102701 female 61 166.6 65.4 NH White
8467 102702 male 75 178.2 97.7 NH White
8468 102703 female 12 162.0 48.7 Mexican
8469 102704 female 52 163.4 98.4 NH White
8470 102705 female 17 162.2 55.3 NH White
8471 102706 male 40 174.5 73.5 NH Asian
8472 102707 male 27 179.4 118.6 NH White
8473 102708 male 80 174.6 85.8 NH White
8474 102709 male 17 154.6 52.0 Other Hispanic
8475 102710 female 73 157.3 82.2 NH White
8476 102711 male 2 92.1 14.1 NH White
8477 102712 female 8 129.6 22.1 Other/Mixed
8478 102713 female 23 171.0 68.9 NH Black
8479 102714 male 14 161.0 86.4 Mexican
8480 102715 female 7 117.0 24.6 Other Hispanic
8481 102716 male 13 163.2 44.0 Other Hispanic
8482 102718 male 20 159.4 83.0 Mexican
8483 102720 male 59 181.8 98.2 NH White
8484 102721 female 53 157.1 69.2 Other Hispanic
8485 102722 female 62 154.9 68.8 Mexican
8486 102723 female 63 162.5 83.0 NH Asian
8487 102724 male 43 167.4 86.8 Mexican
8488 102725 female 16 160.3 75.1 NH White
8489 102726 male 62 178.4 100.5 NH Black
8490 102727 male 8 131.9 30.7 Other Hispanic
8491 102728 male 16 179.6 72.5 NH White
8492 102729 female 61 160.3 53.5 NH White
8493 102730 male 54 165.0 88.7 NH Asian
8494 102731 male 80 164.0 62.5 NH White
8495 102732 male 70 189.1 105.0 NH White
8496 102733 male 61 184.2 97.9 NH Black
8497 102734 female 12 148.4 30.3 NH Black
8498 102735 female 17 171.2 126.0 NH Black
8499 102737 female 50 169.0 85.4 NH White
8500 102741 female 18 166.6 107.5 NH Asian
8501 102743 male 45 169.8 93.7 Mexican
8502 102744 female 7 133.9 43.6 Other Hispanic
8503 102745 male 6 121.0 22.5 NH Asian
8504 102746 male 23 179.1 63.0 NH White
8505 102747 female 57 166.7 67.5 NH White
8506 102748 male 9 125.2 21.3 Other/Mixed
8507 102749 male 5 124.3 21.2 NH Asian
8508 102750 male 50 167.2 88.6 NH Asian
8509 102752 female 1 NA 13.3 Other Hispanic
8510 102753 male 50 174.1 92.6 NH White
8511 102754 male 50 176.8 96.8 NH Black
8512 102755 male 13 159.4 78.0 Other Hispanic
8513 102756 male 34 170.9 77.7 NH White
8514 102757 male 10 136.4 33.6 NH White
8515 102758 female 46 155.4 55.8 NH Asian
8516 102759 female 47 178.9 69.6 NH White
8517 102760 female 0 NA 5.4 Mexican
8518 102761 male 25 165.3 71.6 NH Black
8519 102762 male 20 191.5 144.4 NH White
8520 102763 male 62 182.8 97.1 Other Hispanic
8521 102764 male 0 NA 9.5 Mexican
8522 102765 male 10 138.8 31.6 NH Black
8523 102766 female 46 150.8 47.0 NH Asian
8524 102767 female 10 135.1 28.0 NH White
8525 102768 male 49 178.4 102.2 NH White
8526 102769 male 12 157.9 58.6 NH Black
8527 102770 female 12 156.4 72.2 Mexican
8528 102771 female 60 160.6 105.2 Mexican
8529 102772 male 56 176.2 101.8 NH White
8530 102773 female 63 169.8 54.3 NH White
8531 102774 female 2 NA 14.6 NH Black
8532 102775 male 58 176.3 127.4 NH White
8533 102776 male 35 171.9 86.5 NH White
8534 102777 female 60 156.0 79.6 NH White
8535 102778 female 67 161.3 219.6 NH Black
8536 102779 male 57 168.8 90.8 NH White
8537 102780 male 6 121.8 20.6 NH Black
8538 102781 male 24 182.9 79.5 Mexican
8539 102782 male 6 115.4 19.8 NH Black
8540 102783 female 52 156.8 64.8 NH Asian
8541 102784 male 6 120.6 30.6 Other Hispanic
8542 102785 female 54 159.1 62.2 NH White
8543 102786 female 46 155.8 57.2 NH Asian
8544 102787 male 4 114.6 20.7 NH Black
8545 102788 female 42 160.6 86.4 NH Black
8546 102789 male 61 171.0 90.2 Mexican
8547 102790 male 47 173.3 85.8 NH White
8548 102791 male 61 184.3 101.8 NH Black
8549 102792 male 61 175.7 92.0 NH White
8550 102793 female 30 155.1 105.7 NH White
8551 102794 male 67 177.9 96.7 Other Hispanic
8552 102795 male 4 107.0 17.5 NH White
8553 102796 male 7 113.2 22.8 NH White
8554 102797 male 20 181.5 65.9 NH Black
8555 102798 female 57 164.8 88.6 Other Hispanic
8556 102799 female 62 151.1 54.3 NH Asian
8557 102800 male 65 172.0 69.7 NH White
8558 102801 female 58 154.2 83.4 NH Black
8559 102802 male 25 174.8 69.0 NH Asian
8560 102803 female 9 132.2 28.3 NH Black
8561 102805 male 60 180.0 70.6 NH Black
8562 102806 female 2 83.8 10.1 NH Black
8563 102807 male 79 182.2 130.0 NH Black
8564 102808 male 62 165.0 94.1 NH Black
8565 102809 male 24 172.9 90.5 Mexican
8566 102810 female 16 158.5 95.6 Other Hispanic
8567 102811 female 41 164.4 65.8 Mexican
8568 102812 female 4 103.2 16.2 NH White
8569 102813 male 0 NA 7.1 NH White
8570 102814 male 11 147.4 57.7 Mexican
8571 102815 male 80 164.8 50.9 NH White
8572 102816 female 42 152.3 75.3 Other Hispanic
8573 102817 male 2 94.0 14.3 NH White
8574 102818 male 4 112.3 21.1 NH Black
8575 102819 female 48 164.6 70.9 NH White
8576 102820 female 57 167.0 74.6 Mexican
8577 102821 female 35 178.0 80.0 NH Black
8578 102822 female 16 160.4 51.2 NH Asian
8579 102823 female 55 160.3 64.2 Other Hispanic
8580 102824 female 0 NA 9.8 NH White
8581 102826 female 58 149.1 72.7 Mexican
8582 102827 male 14 175.1 78.9 NH White
8583 102828 female 80 152.5 80.2 NH Black
8584 102829 male 2 91.2 14.2 NH White
8585 102830 male 8 143.9 54.9 NH White
8586 102831 female 51 145.1 57.9 NH Asian
8587 102832 male 29 173.9 65.5 NH White
8588 102833 male 25 168.8 77.1 NH Black
8589 102834 male 57 181.1 111.4 NH Black
8590 102835 female 67 156.8 89.6 NH Black
8591 102836 male 40 165.1 93.4 Mexican
8592 102837 female 19 165.9 70.2 Other Hispanic
8593 102838 male 41 179.8 102.0 Other/Mixed
8594 102839 male 1 NA 13.0 NH White
8595 102840 male 0 NA 8.2 NH White
8596 102841 male 78 167.8 79.5 Other Hispanic
8597 102842 male 7 128.9 27.2 Other/Mixed
8598 102843 male 1 NA 10.2 Other/Mixed
8599 102844 male 2 89.0 14.5 Mexican
8600 102845 male 63 170.9 63.8 NH Black
8601 102846 female 61 161.0 65.8 NH White
8602 102847 female 30 155.6 62.7 NH White
8603 102848 male 1 NA 11.1 NH White
8604 102849 male 29 185.0 81.3 NH Asian
8605 102850 male 54 168.2 125.3 Other Hispanic
8606 102851 male 58 183.1 105.5 Mexican
8607 102852 female 10 141.1 37.4 Mexican
8608 102853 male 45 166.0 61.9 NH White
8609 102854 male 45 164.6 110.7 Other/Mixed
8610 102855 male 61 169.7 76.2 NH Asian
8611 102856 male 80 155.1 47.3 NH Asian
8612 102857 female 14 159.8 60.3 Mexican
8613 102858 male 36 168.9 97.5 NH Asian
8614 102859 female 8 138.1 45.5 NH White
8615 102860 male 63 163.8 69.5 NH Asian
8616 102861 female 41 164.6 156.3 NH Black
8617 102862 female 0 NA 9.9 NH White
8618 102863 female 61 145.9 81.1 Mexican
8619 102864 male 8 NA NA Other Hispanic
8620 102865 female 44 175.0 143.8 NH White
8621 102866 female 73 164.6 83.4 NH White
8622 102867 male 17 168.0 54.4 NH Asian
8623 102868 female 70 154.1 54.7 NH Asian
8624 102869 male 67 180.3 158.6 NH White
8625 102870 female 51 159.2 67.0 NH Asian
8626 102871 female 80 151.2 44.3 NH Asian
8627 102872 female 44 169.6 76.5 NH Black
8628 102873 male 66 174.0 118.1 NH Black
8629 102875 male 61 170.2 74.3 NH White
8630 102876 male 65 170.6 79.8 Other Hispanic
8631 102877 female 17 161.9 68.7 Mexican
8632 102878 male 61 171.5 102.4 Mexican
8633 102879 male 21 169.6 122.3 NH White
8634 102880 female 51 152.4 59.8 NH Asian
8635 102881 male 4 112.0 19.4 NH Asian
8636 102882 male 8 133.1 32.0 NH White
8637 102883 male 80 171.5 89.5 NH White
8638 102884 male 32 169.0 90.4 Mexican
8639 102885 female 37 167.8 84.7 NH Black
8640 102886 female 50 155.5 73.1 NH Asian
8641 102887 female 60 159.1 94.1 NH Black
8642 102889 male 47 177.8 99.9 Mexican
8643 102890 male 80 175.5 86.5 NH Black
8644 102891 male 9 136.9 36.5 Mexican
8645 102892 female 42 164.8 118.2 Mexican
8646 102893 female 44 164.6 73.8 NH White
8647 102894 male 26 167.1 71.4 Other Hispanic
8648 102895 male 43 181.8 117.8 NH Black
8649 102896 male 3 91.1 13.8 NH Black
8650 102897 male 1 NA 12.6 NH White
8651 102898 male 10 150.1 34.9 NH Black
8652 102899 female 20 171.9 69.0 NH White
8653 102900 male 6 119.5 23.3 Other Hispanic
8654 102901 male 66 172.4 108.6 NH Black
8655 102903 female 20 162.1 70.1 NH Black
8656 102904 female 75 153.7 65.1 NH White
8657 102905 female 13 156.4 68.6 NH White
8658 102906 male 9 137.8 33.0 NH White
8659 102907 female 47 162.0 73.2 NH Black
8660 102908 male 51 172.4 73.3 NH White
8661 102909 male 12 149.4 33.4 NH White
8662 102910 male 71 178.2 97.5 NH White
8663 102911 female 55 169.8 57.0 Other/Mixed
8664 102912 female 11 155.0 66.9 NH White
8665 102913 female 39 156.9 94.1 NH White
8666 102914 female 73 149.1 48.7 NH Asian
8667 102915 female 14 156.4 61.4 NH Black
8668 102916 male 66 156.5 68.2 Other Hispanic
8669 102917 female 61 167.8 69.2 NH Black
8670 102918 male 33 169.3 64.3 NH White
8671 102919 male 0 NA 7.2 NH White
8672 102920 female 62 159.6 73.0 Other Hispanic
8673 102921 male 53 170.9 89.3 Mexican
8674 102922 male 31 174.5 63.3 NH Black
8675 102923 female 43 173.9 106.1 NH White
8676 102924 female 75 172.0 129.2 NH White
8677 102925 male 3 102.1 16.4 NH White
8678 102926 female 15 158.7 51.4 Other/Mixed
8679 102927 male 0 NA 9.1 NH White
8680 102929 male 60 183.0 116.7 NH Black
8681 102930 female 2 92.8 15.2 NH Black
8682 102932 female 3 96.8 16.3 NH White
8683 102933 female 24 167.9 50.8 NH Black
8684 102934 male 48 178.5 83.7 NH Black
8685 102935 female 27 158.9 59.5 NH White
8686 102936 male 1 NA 10.2 Other/Mixed
8687 102937 female 4 104.0 16.5 NH White
8688 102938 female 5 116.3 22.5 NH White
8689 102939 female 2 82.5 11.2 Other/Mixed
8690 102941 female 14 147.1 43.6 Mexican
8691 102942 female 0 NA 8.9 NH White
8692 102943 female 48 181.1 122.7 Mexican
8693 102944 male 55 163.1 78.8 NH Asian
8694 102945 male 15 173.6 66.5 Other Hispanic
8695 102946 male 65 162.8 80.7 NH Asian
8696 102947 male 75 170.4 73.2 NH Black
8697 102948 female 31 162.0 52.9 NH White
8698 102949 male 33 180.1 76.9 NH White
8699 102951 male 4 108.9 23.8 NH White
8700 102952 female 70 156.5 49.0 NH Asian
8701 102953 male 42 164.9 97.4 Mexican
8702 102954 female 41 162.6 69.1 NH Black
8703 102955 female 14 156.6 111.9 NH Black
8704 102956 male 38 175.8 111.5 NH White
Tabelle ansehen: view
Wenn eine Tabelle zu lang oder zu breit ist, um in der Konsole vollstqndig angezeigt werden, kann man sie mit view
in einem eigenen RStudio-Panel mit Rollbalken betrachten:
view( nhanes )
Spalten auswählen: select
Mit select
wählt aus, welche Spalten man beibehalten möchte. Die anderen qwerden verworfen:
%>%
nhanes select( gender, age, height )
gender age height
1 female 2 88.6
2 male 2 94.2
3 female 66 158.3
4 male 18 175.7
5 male 13 158.4
6 female 66 150.2
7 female 75 151.1
8 female 0 NA
9 male 56 170.6
10 male 18 172.8
11 male 67 178.6
12 female 54 147.8
13 male 71 170.6
14 male 61 159.2
15 male 22 174.1
16 male 45 157.3
17 female 13 160.5
18 female 1 NA
19 female 60 154.0
20 female 60 154.6
21 male 64 170.1
22 female 5 111.4
23 female 9 145.8
24 female 67 154.5
25 male 70 161.9
26 male 53 188.1
27 male 42 173.2
28 male 57 167.6
29 male 20 179.9
30 male 72 162.4
31 female 11 142.6
32 male 52 147.7
33 male 11 143.4
34 male 8 137.6
35 male 26 170.2
36 female 5 116.3
37 male 72 183.4
38 female 9 135.8
39 male 72 178.3
40 male 61 187.8
41 female 10 154.7
42 male 5 107.1
43 female 25 158.4
44 female 13 157.7
45 male 0 NA
46 female 1 NA
47 female 7 133.9
48 female 73 153.6
49 female 10 151.4
50 male 72 161.5
51 female 26 178.5
52 female 64 160.7
53 male 63 174.9
54 female 55 156.9
55 male 60 158.6
56 female 54 150.6
57 male 44 166.4
58 female 74 149.8
59 male 40 181.5
60 female 1 NA
61 male 19 169.9
62 female 36 156.6
63 male 61 164.7
64 male 80 174.9
65 male 6 124.7
66 male 55 172.3
67 male 3 97.5
68 female 55 161.9
69 male 69 176.0
70 female 41 165.5
71 female 47 150.4
72 female 32 157.8
73 female 72 NA
74 female 19 163.6
75 female 10 138.9
76 female 46 161.7
77 male 32 154.9
78 female 25 164.7
79 female 21 156.9
80 female 2 86.2
81 female 80 155.0
82 female 13 162.1
83 female 66 169.5
84 female 34 173.4
85 female 5 103.3
86 male 20 165.2
87 female 31 160.4
88 male 12 153.7
89 female 62 157.1
90 male 64 168.6
91 male 71 176.6
92 female 52 164.3
93 female 61 173.0
94 male 41 177.0
95 female 80 162.8
96 male 59 179.0
97 female 2 90.8
98 male 12 166.4
99 male 1 NA
100 female 64 162.9
101 male 44 176.1
102 female 13 157.8
103 male 14 186.1
104 male 1 NA
105 male 13 166.7
106 male 24 164.2
107 male 67 174.8
108 female 42 155.3
109 female 41 168.9
110 female 32 161.5
111 female 80 NA
112 male 55 158.7
113 male 14 176.0
114 female 63 143.7
115 female 11 162.7
116 female 16 161.4
117 female 6 113.0
118 female 58 159.8
119 female 52 159.4
120 male 74 174.2
121 female 68 161.9
122 female 2 87.4
123 female 38 161.4
124 male 67 186.1
125 male 61 171.9
126 male 63 172.3
127 male 6 126.3
128 female 48 161.7
129 female 13 163.9
130 female 35 166.8
131 male 5 126.4
132 female 50 177.4
133 male 47 180.7
134 female 48 171.5
135 male 2 84.8
136 female 42 163.8
137 male 6 125.0
138 female 28 165.3
139 female 29 165.9
140 female 43 156.6
141 male 62 171.1
142 female 40 164.6
143 female 74 155.6
144 female 74 149.1
145 female 45 171.0
146 male 50 165.4
147 male 0 NA
148 male 71 165.1
149 male 66 176.9
150 female 3 100.0
151 female 19 147.3
152 male 73 165.9
153 male 76 176.2
154 male 2 93.1
155 male 50 172.9
156 female 12 154.3
157 male 0 NA
158 male 26 171.4
159 female 2 86.4
160 male 68 171.4
161 male 80 176.7
162 female 20 158.1
163 female 55 158.8
164 female 16 159.4
165 female 8 127.2
166 male 37 174.4
167 male 10 150.9
168 male 64 178.8
169 female 59 162.5
170 female 7 129.2
171 female 5 118.7
172 female 8 131.6
173 female 30 164.7
174 male 19 172.9
175 male 8 137.1
176 male 63 174.2
177 female 37 167.6
178 male 27 177.5
179 female 56 145.4
180 female 80 167.0
181 male 55 178.0
182 female 66 162.3
183 male 40 181.9
184 male 10 147.8
185 female 10 149.0
186 male 5 118.3
187 male 67 174.5
188 male 48 163.1
189 female 12 155.3
190 female 24 158.2
191 male 62 166.3
192 male 10 154.1
193 male 15 172.4
194 male 39 169.3
195 female 41 173.7
196 female 20 162.0
197 male 41 165.9
198 male 6 121.0
199 female 25 160.2
200 female 40 160.3
201 male 41 176.6
202 male 34 176.7
203 male 28 168.5
204 male 14 174.6
205 male 36 192.9
206 female 8 133.8
207 female 61 154.2
208 female 7 123.3
209 male 11 147.9
210 male 52 188.5
211 female 70 151.8
212 female 13 155.3
213 male 31 172.1
214 female 54 156.1
215 male 11 166.4
216 female 35 171.5
217 male 80 168.1
218 male 24 178.7
219 female 54 158.6
220 female 0 NA
221 male 39 NA
222 male 0 NA
223 male 30 175.1
224 female 18 163.2
225 female 40 153.3
226 male 50 166.2
227 male 42 167.6
228 female 52 169.4
229 female 2 89.7
230 male 66 162.6
231 male 22 169.2
232 female 53 146.7
233 male 13 160.5
234 female 49 150.7
235 male 30 159.5
236 female 0 NA
237 female 34 161.7
238 male 26 171.4
239 male 24 167.7
240 female 66 NA
241 female 41 166.5
242 female 2 92.0
243 female 61 171.0
244 male 60 175.2
245 male 0 NA
246 male 80 173.8
247 male 52 172.0
248 female 30 159.5
249 male 0 NA
250 male 1 NA
251 male 57 171.8
252 female 33 163.9
253 male 33 166.4
254 male 40 168.7
255 male 35 186.3
256 female 14 151.5
257 male 59 181.8
258 female 54 161.4
259 female 0 NA
260 female 66 162.1
261 male 57 168.0
262 male 16 173.9
263 female 29 173.8
264 female 52 157.3
265 female 57 171.4
266 female 75 143.6
267 female 32 160.7
268 female 61 146.9
269 female 7 117.9
270 male 35 170.0
271 female 32 163.6
272 female 39 163.1
273 female 64 158.4
274 male 12 157.0
275 female 12 153.5
276 female 2 101.0
277 female 0 NA
278 female 12 161.5
279 male 3 102.7
280 female 11 159.7
281 female 24 159.1
282 female 23 166.7
283 female 18 158.6
284 female 27 156.5
285 female 75 158.2
286 female 25 159.2
287 male 7 129.8
288 male 13 165.4
289 male 79 162.3
290 female 46 160.6
291 female 11 155.0
292 male 71 183.3
293 female 7 118.7
294 female 25 164.8
295 male 56 174.5
296 female 6 119.0
297 female 30 159.8
298 male 70 173.7
299 male 54 170.5
300 female 64 163.2
301 male 3 92.6
302 female 38 159.8
303 female 1 NA
304 male 10 138.5
305 female 5 103.9
306 female 80 148.7
307 male 20 165.9
308 female 39 166.8
309 female 46 166.2
310 male 45 193.9
311 male 67 173.9
312 male 10 140.6
313 female 55 159.7
314 female 54 144.5
315 female 12 160.6
316 female 12 145.8
317 male 59 167.7
318 female 59 162.5
319 male 60 169.0
320 male 28 169.6
321 female 60 167.2
322 male 26 178.7
323 male 64 167.5
324 female 34 157.5
325 male 62 168.5
326 male 46 170.0
327 female 45 162.3
328 male 80 171.0
329 female 66 143.7
330 female 55 171.2
331 female 80 155.3
332 male 4 104.2
333 female 62 156.6
334 male 50 172.5
335 male 80 165.2
336 male 8 135.9
337 female 62 161.5
338 female 61 158.4
339 female 54 145.4
340 male 59 175.8
341 female 36 154.2
342 male 5 124.3
343 male 2 88.1
344 male 17 176.0
345 female 69 151.4
346 female 1 NA
347 male 44 166.0
348 male 69 181.8
349 male 61 183.5
350 female 8 128.8
351 male 33 169.2
352 male 0 NA
353 male 69 166.8
354 male 29 173.2
355 male 9 135.9
356 male 2 90.5
357 female 19 173.4
358 female 0 NA
359 female 79 163.2
360 male 80 160.1
361 female 69 158.1
362 male 7 118.7
363 female 61 148.8
364 female 80 159.0
365 male 19 185.2
366 female 1 NA
367 female 12 149.6
368 female 16 153.0
369 male 11 147.4
370 male 52 171.1
371 male 36 189.1
372 female 15 170.0
373 female 78 151.7
374 male 80 173.0
375 female 62 160.1
376 female 23 163.2
377 female 20 155.2
378 female 0 NA
379 female 64 158.0
380 male 7 132.6
381 female 7 123.9
382 female 46 162.7
383 male 19 180.3
384 female 11 140.6
385 male 64 165.0
386 female 13 159.2
387 male 3 93.9
388 female 2 85.7
389 male 28 162.5
390 female 60 159.0
391 male 20 187.9
392 male 1 NA
393 female 60 167.4
394 female 57 165.3
395 female 50 163.7
396 male 57 173.5
397 female 12 160.6
398 male 33 168.5
399 male 55 173.0
400 male 13 165.9
401 female 62 155.0
402 female 34 160.4
403 male 35 180.0
404 male 7 123.4
405 female 27 163.7
406 female 39 169.1
407 male 14 174.5
408 male 28 177.1
409 female 61 156.2
410 female 37 163.2
411 male 10 140.4
412 female 49 153.3
413 female 72 152.9
414 female 49 163.3
415 male 17 169.4
416 male 71 178.2
417 male 5 113.9
418 male 3 103.5
419 male 18 173.5
420 female 15 157.4
421 female 2 88.9
422 female 18 165.3
423 male 14 167.3
424 male 68 162.5
425 male 23 173.1
426 female 64 160.8
427 male 10 151.1
428 female 80 145.7
429 male 56 178.0
430 female 63 150.9
431 female 60 148.4
432 male 66 161.8
433 female 13 151.0
434 female 22 176.7
435 male 53 177.3
436 male 64 156.9
437 male 35 177.4
438 female 18 159.4
439 female 9 142.1
440 male 28 174.5
441 male 17 168.7
442 female 66 157.8
443 male 26 170.4
444 male 2 97.9
445 male 8 139.8
446 female 2 94.5
447 female 68 153.1
448 female 45 148.8
449 male 77 170.4
450 female 24 162.1
451 female 59 145.7
452 male 34 172.0
453 male 72 166.3
454 female 7 133.4
455 female 36 156.4
456 female 59 158.2
457 male 49 186.1
458 male 8 133.8
459 male 3 99.4
460 female 13 167.0
461 female 54 144.7
462 female 21 158.3
463 male 43 175.3
464 female 2 91.8
465 female 54 154.0
466 female 58 168.8
467 female 9 132.5
468 female 16 156.9
469 female 0 NA
470 female 8 147.4
471 female 63 155.4
472 male 69 165.6
473 female 26 155.4
474 male 77 166.8
475 male 70 189.9
476 male 2 96.0
477 female 73 153.5
478 male 56 169.3
479 male 62 166.7
480 female 45 160.4
481 female 0 NA
482 male 80 176.1
483 female 23 162.8
484 female 67 148.5
485 female 19 159.6
486 male 0 NA
487 female 67 162.0
488 male 18 186.5
489 female 5 113.6
490 female 23 155.6
491 female 17 165.3
492 female 27 154.0
493 male 2 90.3
494 female 43 167.0
495 male 23 175.4
496 male 12 142.4
497 male 5 130.2
498 male 80 168.3
499 female 0 NA
500 female 69 152.3
501 male 15 162.9
502 male 70 184.8
503 male 62 175.9
504 female 10 147.6
505 female 18 164.0
506 male 5 120.4
507 male 63 183.7
508 female 15 160.5
509 female 30 151.6
510 male 60 174.6
511 male 80 170.0
512 female 31 164.6
513 male 48 166.7
514 male 27 172.1
515 female 38 161.8
516 female 66 163.6
517 female 23 166.7
518 female 22 162.0
519 male 15 171.3
520 female 70 160.0
521 female 8 132.3
522 male 43 177.0
523 female 8 136.7
524 male 11 146.5
525 male 51 182.6
526 female 50 166.6
527 female 48 147.0
528 female 63 164.6
529 male 22 183.3
530 male 17 176.8
531 female 7 123.3
532 male 75 171.0
533 male 43 159.1
534 female 80 153.3
535 male 13 170.2
536 female 10 153.6
537 male 33 162.1
538 male 18 170.5
539 male 16 177.9
540 male 63 161.6
541 female 58 173.3
542 male 54 180.6
543 male 80 153.7
544 female 41 151.2
545 male 62 162.9
546 male 39 168.3
547 female 9 143.3
548 female 31 171.1
549 female 17 163.6
550 female 60 162.5
551 female 58 172.7
552 male 43 174.6
553 female 75 165.0
554 male 20 178.2
555 female 35 154.5
556 female 27 147.2
557 female 14 162.7
558 male 64 176.2
559 female 14 152.5
560 female 48 157.4
561 female 1 NA
562 male 80 179.9
563 female 12 165.5
564 female 69 166.2
565 female 64 151.7
566 female 24 159.9
567 male 65 179.7
568 male 40 167.2
569 female 18 152.2
570 female 22 170.2
571 female 10 147.2
572 female 11 141.4
573 female 54 165.1
574 male 2 NA
575 female 41 173.1
576 female 15 168.5
577 male 41 182.0
578 male 48 171.8
579 female 0 NA
580 male 10 131.3
581 female 3 101.1
582 male 44 172.4
583 male 33 179.3
584 male 60 163.9
585 male 20 159.6
586 male 60 160.7
587 female 50 159.0
588 female 62 147.0
589 male 55 169.6
590 male 61 NA
591 female 29 156.1
592 female 6 130.3
593 female 57 154.5
594 female 4 107.8
595 male 0 NA
596 male 69 160.9
597 male 74 166.6
598 male 44 172.9
599 female 4 119.1
600 male 37 162.5
601 male 25 187.7
602 male 24 178.7
603 female 57 160.3
604 male 71 172.1
605 female 8 124.6
606 male 65 174.9
607 male 0 NA
608 female 0 NA
609 male 80 175.6
610 male 17 163.9
611 male 54 171.4
612 male 14 166.1
613 female 70 163.5
614 female 19 159.3
615 female 10 145.0
616 male 2 90.7
617 male 58 182.1
618 male 8 137.5
619 male 0 NA
620 male 36 164.7
621 male 44 178.9
622 female 38 153.5
623 male 79 157.9
624 female 19 166.3
625 male 22 164.1
626 male 25 176.6
627 female 9 131.4
628 female 33 160.7
629 male 2 91.6
630 male 0 NA
631 female 10 145.8
632 male 68 175.8
633 female 80 158.8
634 female 52 156.3
635 female 30 159.7
636 male 66 170.9
637 male 33 181.7
638 male 13 150.4
639 female 24 157.9
640 male 63 173.9
641 female 80 163.4
642 female 32 165.1
643 female 4 114.1
644 female 0 NA
645 female 48 165.6
646 female 71 161.4
647 female 39 163.5
648 female 33 165.4
649 male 4 100.8
650 female 72 155.0
651 male 1 NA
652 male 25 182.0
653 male 36 166.4
654 female 18 157.4
655 male 19 170.6
656 female 15 156.2
657 male 0 NA
658 female 39 167.2
659 female 62 152.1
660 female 6 114.8
661 male 57 162.8
662 male 10 151.6
663 female 7 115.0
664 female 80 156.6
665 female 39 159.1
666 female 34 165.7
667 female 76 161.5
668 male 72 173.4
669 male 23 173.8
670 female 80 151.6
671 male 13 175.3
672 male 80 157.2
673 male 16 174.6
674 male 32 169.8
675 male 37 168.0
676 female 28 177.7
677 female 3 95.4
678 female 76 153.6
679 female 10 135.5
680 female 80 162.9
681 female 75 143.6
682 female 2 91.6
683 male 18 167.0
684 female 75 159.3
685 female 75 157.7
686 female 0 NA
687 female 49 155.2
688 male 60 164.2
689 male 61 178.5
690 female 25 172.1
691 male 47 171.7
692 female 71 161.8
693 male 46 180.5
694 female 26 158.6
695 male 1 NA
696 female 31 174.9
697 male 1 NA
698 male 80 175.6
699 female 7 117.0
700 female 0 NA
701 male 12 169.0
702 male 32 157.5
703 female 78 173.6
704 male 53 174.0
705 female 28 165.7
706 male 15 165.6
707 male 41 175.8
708 male 1 NA
709 male 30 179.6
710 female 4 105.2
711 female 20 166.4
712 male 1 NA
713 female 10 144.0
714 female 16 159.2
715 female 46 164.6
716 male 56 177.9
717 female 52 160.6
718 female 61 153.7
719 female 19 156.1
720 female 12 151.9
721 female 26 162.1
722 male 77 183.4
723 male 31 185.4
724 male 1 NA
725 female 18 161.6
726 female 0 NA
727 female 37 163.3
728 male 64 170.1
729 female 42 161.3
730 female 5 111.9
731 female 73 162.4
732 male 55 183.6
733 female 26 141.5
734 female 55 170.8
735 female 58 151.7
736 female 37 163.6
737 female 64 155.5
738 male 6 124.1
739 female 31 162.0
740 female 13 154.2
741 female 74 160.1
742 male 5 119.3
743 female 0 NA
744 female 44 176.7
745 male 29 179.2
746 female 38 159.3
747 female 4 112.2
748 female 64 157.3
749 female 19 165.3
750 male 6 128.6
751 male 63 168.2
752 male 10 138.7
753 female 4 98.1
754 male 3 96.1
755 male 45 168.6
756 female 11 158.2
757 male 62 160.6
758 female 60 168.7
759 female 41 162.8
760 female 15 153.3
761 female 52 173.6
762 male 28 191.1
763 male 7 124.1
764 female 69 152.3
765 male 34 167.6
766 female 34 151.7
767 female 53 168.2
768 female 49 158.2
769 male 7 128.6
770 female 43 155.4
771 male 2 92.1
772 female 8 126.3
773 female 58 148.3
774 female 19 158.9
775 male 19 169.0
776 female 0 NA
777 male 59 178.3
778 male 7 123.4
779 male 0 NA
780 male 60 175.2
781 female 65 158.2
782 female 66 157.9
783 male 37 180.7
784 male 36 164.2
785 male 34 162.3
786 male 58 180.6
787 male 22 157.7
788 female 34 157.6
789 female 36 155.1
790 male 80 160.7
791 male 13 153.8
792 male 11 148.6
793 male 42 164.8
794 female 55 165.8
795 female 10 155.4
796 female 79 164.8
797 male 30 NA
798 female 12 164.1
799 female 17 161.8
800 male 18 180.0
801 female 19 164.0
802 female 67 151.3
803 male 4 101.1
804 male 80 170.6
805 female 17 163.1
806 male 2 NA
807 female 56 156.4
808 female 72 150.6
809 male 69 174.2
810 male 19 164.4
811 male 7 116.1
812 female 35 156.8
813 female 62 147.7
814 male 41 164.1
815 female 24 171.1
816 female 5 107.7
817 male 16 184.3
818 male 8 137.2
819 female 80 154.6
820 female 45 168.4
821 male 16 176.8
822 female 60 161.1
823 female 27 152.7
824 male 48 166.6
825 female 80 167.4
826 female 14 153.9
827 female 62 153.5
828 male 18 184.7
829 female 80 161.4
830 female 33 159.0
831 female 30 175.9
832 male 71 168.1
833 male 52 171.7
834 female 5 108.4
835 male 1 NA
836 male 80 168.1
837 male 10 149.0
838 male 8 121.6
839 female 74 165.1
840 female 19 158.6
841 male 7 130.7
842 male 33 183.2
843 female 65 146.8
844 male 42 178.0
845 female 0 NA
846 female 0 NA
847 female 42 163.5
848 male 28 184.2
849 male 45 175.8
850 female 5 107.1
851 female 4 111.0
852 female 77 164.1
853 female 15 176.9
854 male 2 95.6
855 female 5 115.7
856 female 6 121.7
857 male 42 170.6
858 female 57 176.4
859 male 38 183.4
860 male 24 182.9
861 female 70 161.9
862 female 16 154.4
863 female 11 153.2
864 male 9 135.6
865 female 13 157.6
866 female 47 165.0
867 male 62 162.2
868 male 4 103.8
869 male 49 176.5
870 male 61 174.3
871 female 0 NA
872 male 9 131.0
873 male 4 102.1
874 female 48 166.5
875 male 38 159.4
876 male 22 173.4
877 male 15 180.7
878 male 59 157.0
879 male 2 81.3
880 female 2 92.9
881 male 15 183.9
882 female 21 163.8
883 female 70 165.8
884 female 68 153.8
885 female 80 152.5
886 male 3 101.7
887 male 8 133.4
888 female 5 116.7
889 male 35 177.8
890 female 4 98.5
891 female 55 151.5
892 male 70 171.6
893 female 62 160.3
894 female 4 95.4
895 male 24 176.4
896 male 3 NA
897 female 38 163.3
898 female 45 148.1
899 male 67 174.3
900 female 65 157.9
901 female 57 155.5
902 female 74 142.9
903 female 61 164.0
904 female 3 97.2
905 female 7 121.7
906 female 9 144.6
907 female 8 125.3
908 male 18 170.7
909 female 40 157.4
910 female 2 NA
911 male 0 NA
912 female 30 160.2
913 male 41 165.5
914 male 0 NA
915 female 38 176.8
916 female 9 130.3
917 male 7 127.7
918 male 38 189.3
919 male 60 169.9
920 male 5 106.6
921 female 29 157.4
922 female 23 165.3
923 male 17 167.5
924 male 0 NA
925 male 67 171.2
926 female 25 165.3
927 female 58 171.9
928 male 63 173.9
929 male 1 NA
930 male 60 172.2
931 female 0 NA
932 female 0 NA
933 female 38 164.7
934 female 47 164.2
935 female 33 172.5
936 female 35 158.0
937 male 61 168.9
938 male 22 161.9
939 female 2 85.8
940 female 3 96.9
941 male 59 175.3
942 female 56 165.4
943 female 43 158.4
944 female 23 169.1
945 female 59 159.7
946 male 10 135.0
947 male 10 147.7
948 male 16 174.2
949 female 17 168.1
950 female 10 149.3
951 female 80 168.5
952 female 62 147.8
953 female 43 161.6
954 male 80 173.2
955 male 41 181.9
956 male 6 119.9
957 male 35 183.0
958 female 64 159.6
959 male 1 NA
960 female 56 159.4
961 male 1 NA
962 female 4 100.8
963 female 76 165.0
964 female 6 123.8
965 female 3 96.9
966 female 56 159.8
967 male 22 166.3
968 male 30 171.7
969 male 11 153.0
970 female 18 174.3
971 female 80 146.2
972 male 56 169.2
973 female 46 169.0
974 female 17 159.4
975 female 3 102.3
976 male 37 184.3
977 female 62 153.0
978 female 44 172.6
979 female 45 176.3
980 female 10 135.8
981 male 8 130.6
982 female 45 NA
983 male 51 167.4
984 female 4 107.2
985 male 57 175.9
986 female 46 155.3
987 female 3 96.2
988 female 10 139.6
989 female 13 159.7
990 male 43 190.1
991 male 19 179.2
992 female 59 158.8
993 female 51 160.8
994 female 13 156.8
995 male 80 160.4
996 male 9 130.6
997 male 73 173.4
998 female 74 154.2
999 female 65 155.6
1000 female 74 148.3
1001 male 19 177.0
1002 male 6 107.1
1003 female 74 160.1
1004 male 24 164.3
1005 male 43 187.4
1006 female 43 169.5
1007 male 55 172.0
1008 male 42 176.7
1009 male 69 171.3
1010 male 80 168.4
1011 male 0 NA
1012 female 42 164.9
1013 male 17 177.7
1014 male 32 166.7
1015 female 17 157.7
1016 female 26 159.3
1017 male 72 167.4
1018 female 80 155.5
1019 female 9 141.4
1020 male 80 171.4
1021 male 74 165.4
1022 female 9 129.7
1023 female 16 162.6
1024 female 28 157.8
1025 male 4 93.2
1026 male 55 165.0
1027 female 24 164.7
1028 male 19 173.2
1029 female 53 158.2
1030 female 8 127.2
1031 male 0 NA
1032 male 66 164.0
1033 male 40 167.8
1034 female 0 NA
1035 female 27 160.0
1036 male 0 NA
1037 female 66 153.3
1038 female 17 155.9
1039 male 6 115.7
1040 male 45 176.4
1041 male 22 166.4
1042 male 16 164.0
1043 male 62 176.4
1044 male 55 161.1
1045 male 12 161.9
1046 female 41 163.5
1047 female 79 NA
1048 male 56 184.1
1049 male 68 175.2
1050 male 46 168.0
1051 female 62 153.5
1052 female 11 147.6
1053 male 1 NA
1054 female 18 161.4
1055 female 32 153.0
1056 female 16 156.4
1057 male 15 185.5
1058 female 11 152.7
1059 female 1 NA
1060 male 2 85.8
1061 female 6 124.3
1062 female 66 166.3
1063 female 9 132.9
1064 male 2 88.7
1065 female 80 145.6
1066 female 0 NA
1067 female 64 167.0
1068 female 71 160.1
1069 female 15 166.7
1070 female 62 157.1
1071 female 59 162.5
1072 female 71 156.1
1073 female 33 154.0
1074 female 4 105.0
1075 female 16 161.3
1076 female 14 157.5
1077 female 12 152.5
1078 female 3 107.3
1079 male 36 177.0
1080 male 0 NA
1081 male 4 104.3
1082 female 80 165.8
1083 female 32 160.0
1084 female 0 NA
1085 male 46 165.1
1086 female 8 140.4
1087 male 33 173.6
1088 male 2 NA
1089 female 52 154.1
1090 male 54 168.7
1091 female 77 159.0
1092 female 35 171.7
1093 female 44 161.0
1094 female 14 159.2
1095 female 33 168.7
1096 female 56 151.9
1097 female 53 163.3
1098 male 51 167.8
1099 male 16 171.9
1100 female 11 151.0
1101 male 55 185.1
1102 male 59 187.0
1103 male 2 90.7
1104 male 13 166.0
1105 male 80 178.5
1106 male 21 172.5
1107 male 18 165.6
1108 male 16 176.7
1109 female 17 150.3
1110 male 71 171.9
1111 female 37 171.5
1112 female 48 175.1
1113 male 14 165.5
1114 female 55 158.3
1115 male 59 186.0
1116 female 7 124.1
1117 male 64 182.2
1118 male 19 171.6
1119 male 80 162.2
1120 male 12 147.9
1121 female 41 148.5
1122 male 57 171.5
1123 female 40 162.5
1124 male 61 184.3
1125 female 48 165.0
1126 male 50 181.3
1127 female 23 173.5
1128 female 50 165.3
1129 female 4 101.9
1130 female 74 153.9
1131 female 32 161.0
1132 male 12 157.3
1133 female 13 158.5
1134 female 67 152.1
1135 male 49 185.4
1136 male 6 117.3
1137 female 19 161.0
1138 male 46 164.4
1139 female 80 151.3
1140 female 56 171.1
1141 male 59 180.4
1142 male 18 176.4
1143 male 11 141.6
1144 male 10 139.6
1145 female 0 NA
1146 female 17 149.5
1147 female 11 150.0
1148 female 26 161.1
1149 male 11 142.7
1150 male 71 180.7
1151 male 5 111.8
1152 female 58 152.5
1153 female 61 151.1
1154 male 66 169.8
1155 female 15 172.3
1156 female 29 158.1
1157 female 8 142.9
1158 male 37 171.8
1159 female 28 154.4
1160 male 9 136.7
1161 male 78 170.5
1162 female 50 155.9
1163 female 63 161.7
1164 female 54 159.1
1165 female 12 152.4
1166 female 41 163.6
1167 female 25 156.5
1168 male 59 178.0
1169 male 61 154.1
1170 male 31 185.5
1171 female 80 149.3
1172 male 28 179.2
1173 male 0 NA
1174 female 5 116.2
1175 female 17 158.6
1176 male 29 181.3
1177 male 23 188.5
1178 male 8 121.5
1179 male 0 NA
1180 male 0 NA
1181 female 80 141.4
1182 female 9 148.2
1183 female 63 155.6
1184 female 59 155.3
1185 male 34 171.7
1186 female 11 157.1
1187 male 43 175.3
1188 female 58 155.1
1189 male 48 174.0
1190 male 26 186.5
1191 male 14 171.5
1192 female 57 157.2
1193 male 48 161.3
1194 female 14 169.7
1195 male 44 184.8
1196 female 40 163.5
1197 male 24 195.0
1198 male 80 182.4
1199 male 55 168.4
1200 female 10 142.7
1201 female 39 171.6
1202 male 4 109.9
1203 male 56 161.9
1204 male 12 168.5
1205 female 75 159.0
1206 female 5 106.2
1207 male 66 165.8
1208 female 60 156.7
1209 male 0 NA
1210 female 32 168.3
1211 female 18 165.6
1212 male 62 NA
1213 male 62 158.7
1214 female 63 163.3
1215 male 35 175.9
1216 male 56 179.0
1217 male 26 194.5
1218 male 2 88.2
1219 female 80 144.4
1220 female 18 147.0
1221 male 58 170.0
1222 female 44 159.1
1223 male 45 175.9
1224 female 2 98.5
1225 female 76 150.6
1226 female 80 160.3
1227 male 26 170.8
1228 male 80 185.8
1229 male 46 170.8
1230 male 11 146.5
1231 male 79 162.1
1232 female 9 145.3
1233 male 13 170.9
1234 female 65 162.0
1235 female 1 NA
1236 male 56 178.7
1237 male 35 177.1
1238 female 7 111.5
1239 male 73 175.5
1240 male 5 113.9
1241 male 40 178.3
1242 female 80 147.6
1243 female 5 112.9
1244 female 16 162.3
1245 male 13 146.2
1246 male 19 176.2
1247 male 57 183.7
1248 male 20 185.1
1249 female 76 149.3
1250 male 30 178.5
1251 female 43 165.5
1252 male 63 173.9
1253 female 54 169.1
1254 female 12 152.6
1255 female 49 154.7
1256 female 61 158.3
1257 male 42 188.4
1258 male 80 181.8
1259 female 20 163.9
1260 female 7 123.3
1261 female 23 160.3
1262 female 26 168.5
1263 female 60 144.1
1264 female 65 153.9
1265 male 64 164.8
1266 female 67 158.9
1267 female 69 162.3
1268 female 63 163.7
1269 male 74 187.4
1270 male 23 176.8
1271 male 3 92.0
1272 male 6 128.5
1273 male 52 184.1
1274 female 40 165.3
1275 male 50 170.9
1276 female 16 164.7
1277 male 40 182.3
1278 female 34 171.3
1279 male 71 171.4
1280 female 36 160.4
1281 male 53 177.9
1282 female 44 144.9
1283 male 45 172.4
1284 male 61 164.7
1285 female 46 168.2
1286 male 27 167.5
1287 female 73 158.0
1288 female 55 161.1
1289 female 80 158.3
1290 male 26 172.9
1291 male 61 173.0
1292 female 38 149.2
1293 female 16 167.3
1294 female 71 163.3
1295 female 37 163.0
1296 male 70 157.1
1297 male 47 173.1
1298 female 0 NA
1299 male 4 102.9
1300 male 28 164.3
1301 male 9 142.5
1302 male 37 171.3
1303 male 4 105.2
1304 female 0 NA
1305 male 7 127.7
1306 female 8 122.9
1307 female 50 148.9
1308 female 31 173.0
1309 male 18 171.1
1310 male 62 167.5
1311 male 12 146.8
1312 female 51 163.9
1313 female 37 143.3
1314 female 80 151.5
1315 male 21 179.9
1316 female 66 161.4
1317 male 68 177.7
1318 female 70 150.6
1319 female 17 164.8
1320 female 80 159.6
1321 female 61 156.5
1322 male 39 179.2
1323 male 2 92.3
1324 male 67 171.8
1325 male 17 166.0
1326 female 6 119.4
1327 male 13 149.3
1328 female 3 95.0
1329 female 67 161.1
1330 male 15 162.6
1331 female 14 155.8
1332 female 20 160.7
1333 male 34 170.1
1334 female 33 157.1
1335 male 62 171.7
1336 female 9 126.1
1337 male 57 170.0
1338 male 10 130.2
1339 female 66 150.6
1340 female 6 122.3
1341 female 50 152.8
1342 male 58 176.6
1343 male 5 113.4
1344 female 59 159.1
1345 male 16 172.3
1346 female 33 151.1
1347 male 60 163.6
1348 female 2 NA
1349 male 60 178.0
1350 female 9 130.8
1351 male 7 115.0
1352 male 37 172.3
1353 male 78 NA
1354 female 10 133.5
1355 female 53 169.1
1356 female 71 153.1
1357 female 42 163.0
1358 male 3 100.1
1359 female 51 154.2
1360 female 5 110.8
1361 female 10 138.3
1362 female 2 78.3
1363 female 56 161.5
1364 female 48 153.0
1365 male 15 157.0
1366 female 80 153.7
1367 male 59 175.2
1368 female 23 158.4
1369 female 8 139.0
1370 male 62 165.1
1371 female 3 93.4
1372 male 54 169.3
1373 female 15 156.5
1374 female 12 152.9
1375 female 66 172.4
1376 female 16 159.4
1377 male 17 185.3
1378 male 68 169.4
1379 male 1 NA
1380 female 39 161.3
1381 female 0 NA
1382 female 13 154.7
1383 female 59 172.8
1384 female 61 145.4
1385 female 67 163.4
1386 female 41 168.5
1387 female 71 155.1
1388 male 80 170.5
1389 female 25 158.2
1390 male 0 NA
1391 female 9 145.1
1392 female 57 155.0
1393 male 1 NA
1394 female 31 161.6
1395 male 4 106.7
1396 male 39 178.7
1397 male 56 172.8
1398 female 14 157.4
1399 female 21 158.4
1400 male 17 170.3
1401 female 28 158.4
1402 male 10 144.1
1403 female 11 149.8
1404 male 66 169.4
1405 female 28 155.9
1406 female 54 143.7
1407 male 15 170.6
1408 male 9 142.7
1409 male 19 173.8
1410 female 19 169.1
1411 female 1 NA
1412 male 34 178.7
1413 female 19 163.5
1414 female 61 161.8
1415 female 23 153.3
1416 female 17 155.2
1417 female 23 173.5
1418 male 54 178.4
1419 female 18 152.4
1420 female 1 NA
1421 male 47 165.8
1422 female 71 163.1
1423 male 78 171.4
1424 female 73 170.0
1425 female 44 174.9
1426 female 22 151.8
1427 male 3 103.0
1428 male 25 170.8
1429 male 70 172.1
1430 female 52 163.8
1431 male 50 172.0
1432 female 3 98.7
1433 female 16 161.4
1434 male 7 127.7
1435 female 61 154.2
1436 female 35 156.8
1437 female 72 154.7
1438 female 16 168.7
1439 male 73 166.4
1440 female 10 138.3
1441 male 8 138.3
1442 male 22 175.8
1443 male 46 175.8
1444 female 0 NA
1445 male 0 NA
1446 male 32 180.4
1447 female 23 147.7
1448 female 21 157.5
1449 male 4 97.3
1450 female 76 150.5
1451 male 29 177.1
1452 male 78 177.2
1453 female 23 155.9
1454 female 1 NA
1455 female 58 152.8
1456 female 68 153.9
1457 female 48 164.5
1458 male 6 127.6
1459 female 0 NA
1460 female 64 157.9
1461 female 0 NA
1462 female 70 164.8
1463 male 44 169.1
1464 female 38 162.0
1465 male 70 191.3
1466 male 10 134.6
1467 female 3 85.6
1468 female 24 161.7
1469 female 66 157.6
1470 female 39 157.5
1471 male 62 172.9
1472 male 80 173.2
1473 male 26 176.9
1474 female 24 158.8
1475 female 24 165.8
1476 male 0 NA
1477 female 18 160.1
1478 female 46 154.5
1479 female 58 160.5
1480 male 1 NA
1481 male 70 177.5
1482 male 18 177.0
1483 male 5 126.5
1484 male 0 NA
1485 female 80 148.5
1486 male 62 180.9
1487 female 48 162.9
1488 female 41 160.9
1489 male 33 180.1
1490 male 0 NA
1491 female 43 168.1
1492 male 36 174.4
1493 female 42 153.5
1494 female 61 164.6
1495 male 6 122.8
1496 male 18 175.9
1497 female 41 153.9
1498 female 6 115.3
1499 female 17 155.6
1500 female 56 162.4
1501 male 34 168.4
1502 female 56 147.6
1503 female 8 114.3
1504 male 4 107.9
1505 male 8 136.8
1506 male 16 165.6
1507 female 1 NA
1508 male 5 114.4
1509 male 40 168.8
1510 male 15 172.8
1511 male 60 173.1
1512 female 7 124.9
1513 female 45 146.5
1514 male 15 165.1
1515 male 2 86.8
1516 female 17 157.1
1517 male 3 97.4
1518 male 19 177.1
1519 female 64 166.2
1520 female 5 107.1
1521 male 52 172.9
1522 female 10 150.5
1523 male 25 168.3
1524 female 54 159.6
1525 male 11 144.0
1526 female 63 155.6
1527 male 43 183.0
1528 female 5 105.6
1529 female 60 165.5
1530 female 55 152.7
1531 male 1 NA
1532 male 65 176.5
1533 male 21 177.8
1534 male 70 179.8
1535 male 68 167.7
1536 male 72 178.0
1537 female 17 152.1
1538 male 47 166.9
1539 female 77 175.1
1540 female 8 141.8
1541 female 75 147.2
1542 male 39 167.7
1543 female 60 159.9
1544 female 9 132.1
1545 female 13 157.6
1546 male 72 173.0
1547 female 0 NA
1548 female 31 163.7
1549 male 11 149.4
1550 female 17 162.0
1551 female 61 157.9
1552 female 39 163.8
1553 male 14 NA
1554 female 14 174.6
1555 female 25 155.2
1556 female 50 162.8
1557 female 39 166.4
1558 male 8 133.8
1559 male 14 165.6
1560 male 61 160.2
1561 female 56 157.4
1562 female 70 155.3
1563 male 2 86.8
1564 male 69 166.3
1565 male 72 166.2
1566 female 42 150.9
1567 male 2 NA
1568 male 41 170.7
1569 female 0 NA
1570 female 44 158.4
1571 female 55 155.4
1572 female 1 NA
1573 female 15 168.0
1574 male 4 116.2
1575 male 7 126.5
1576 male 80 179.5
1577 male 13 171.7
1578 male 27 161.4
1579 male 56 169.4
1580 male 7 131.9
1581 male 63 178.2
1582 female 80 163.2
1583 male 59 172.7
1584 male 62 177.7
1585 female 17 170.7
1586 male 60 166.8
1587 female 5 102.2
1588 female 0 NA
1589 female 28 168.3
1590 male 15 179.3
1591 male 17 160.4
1592 male 20 174.3
1593 female 44 145.5
1594 male 21 170.5
1595 female 28 154.6
1596 male 47 170.8
1597 female 13 150.6
1598 female 13 163.2
1599 male 68 176.2
1600 male 3 96.7
1601 female 13 163.2
1602 female 5 113.0
1603 female 80 147.4
1604 male 28 194.0
1605 female 49 158.8
1606 male 53 151.7
1607 male 80 167.7
1608 female 1 NA
1609 female 9 133.0
1610 female 6 122.7
1611 male 76 169.0
1612 male 71 175.8
1613 male 60 179.4
1614 female 51 174.1
1615 male 27 175.9
1616 female 36 153.9
1617 female 36 162.3
1618 male 63 166.2
1619 male 59 180.9
1620 male 68 168.4
1621 female 18 150.8
1622 male 78 165.0
1623 female 39 170.8
1624 female 33 165.5
1625 male 40 187.9
1626 male 22 174.2
1627 male 0 NA
1628 male 62 173.6
1629 male 0 NA
1630 female 60 155.3
1631 male 2 97.9
1632 female 66 161.2
1633 female 18 163.5
1634 female 11 158.8
1635 female 78 146.9
1636 female 15 161.7
1637 female 43 156.5
1638 male 23 168.6
1639 male 0 NA
1640 female 33 173.8
1641 female 0 NA
1642 female 37 154.1
1643 female 24 162.1
1644 male 42 168.5
1645 female 70 160.1
1646 male 80 165.4
1647 male 55 166.9
1648 male 38 176.4
1649 female 3 101.1
1650 male 38 170.8
1651 male 39 167.2
1652 male 60 172.6
1653 male 47 162.7
1654 male 6 128.2
1655 female 16 158.4
1656 male 10 144.9
1657 male 63 174.3
1658 female 11 161.3
1659 female 8 117.4
1660 female 4 101.8
1661 male 19 167.9
1662 female 3 103.5
1663 female 56 150.0
1664 male 52 182.0
1665 female 80 151.6
1666 male 63 181.9
1667 male 28 177.0
1668 male 3 99.5
1669 male 80 165.5
1670 male 34 172.6
1671 male 36 184.1
1672 female 34 159.7
1673 female 8 138.1
1674 male 8 133.5
1675 female 13 162.6
1676 male 11 153.0
1677 female 57 163.5
1678 male 71 170.9
1679 male 19 172.4
1680 female 14 154.2
1681 female 0 NA
1682 male 80 171.3
1683 male 18 175.6
1684 female 36 167.9
1685 male 17 177.9
1686 female 21 163.0
1687 female 9 133.5
1688 male 13 173.0
1689 male 2 88.5
1690 female 80 156.4
1691 male 25 164.6
1692 female 22 163.5
1693 male 75 166.6
1694 female 10 149.3
1695 male 6 120.1
1696 male 52 181.9
1697 female 61 165.1
1698 female 25 159.8
1699 male 1 NA
1700 male 52 174.6
1701 female 61 155.9
1702 male 29 171.0
1703 male 48 165.7
1704 male 2 97.2
1705 male 63 193.1
1706 female 51 165.2
1707 female 51 154.2
1708 female 3 105.8
1709 male 35 175.5
1710 male 69 190.0
1711 male 15 172.2
1712 male 16 177.9
1713 female 53 158.9
1714 female 4 95.9
1715 male 13 164.5
1716 female 22 164.6
1717 female 9 133.4
1718 female 62 143.9
1719 female 51 168.1
1720 female 80 154.1
1721 male 58 170.1
1722 female 75 166.3
1723 male 0 NA
1724 male 58 177.6
1725 male 68 166.9
1726 female 67 158.7
1727 male 46 189.6
1728 male 11 160.2
1729 male 48 166.5
1730 male 1 NA
1731 male 69 181.1
1732 male 68 155.0
1733 female 65 160.5
1734 female 56 158.0
1735 female 28 157.7
1736 male 29 178.1
1737 male 14 163.0
1738 male 15 163.1
1739 male 57 172.1
1740 male 28 179.3
1741 female 53 155.3
1742 male 62 178.1
1743 female 57 138.3
1744 male 5 114.1
1745 male 79 189.4
1746 male 7 131.4
1747 male 18 180.0
1748 male 41 182.8
1749 female 79 159.7
1750 female 42 158.9
1751 male 1 NA
1752 male 63 171.9
1753 female 1 NA
1754 female 46 173.0
1755 male 11 146.5
1756 male 29 171.3
1757 female 78 166.8
1758 male 1 NA
1759 female 34 166.0
1760 female 23 160.6
1761 female 2 84.1
1762 female 54 161.4
1763 male 75 168.9
1764 male 23 176.1
1765 female 36 176.5
1766 male 64 178.1
1767 female 73 155.8
1768 female 63 156.1
1769 female 62 153.4
1770 male 54 NA
1771 male 1 NA
1772 female 44 148.8
1773 female 32 160.8
1774 female 69 157.8
1775 male 9 136.9
1776 male 19 180.9
1777 female 26 161.2
1778 female 29 170.6
1779 male 72 168.7
1780 female 63 159.9
1781 male 61 170.6
1782 female 36 150.3
1783 female 14 167.3
1784 male 70 185.3
1785 male 50 176.6
1786 female 43 163.0
1787 male 12 159.3
1788 male 71 175.4
1789 male 22 174.1
1790 male 47 186.0
1791 male 74 NA
1792 male 69 168.8
1793 male 21 168.1
1794 male 3 102.8
1795 male 16 169.7
1796 male 3 95.4
1797 male 25 184.8
1798 male 42 170.0
1799 male 67 172.8
1800 female 22 155.0
1801 female 41 151.6
1802 male 53 177.2
1803 male 24 181.0
1804 male 9 134.3
1805 female 2 85.5
1806 male 78 167.1
1807 female 17 159.7
1808 male 60 175.5
1809 female 16 167.4
1810 female 16 173.4
1811 female 6 117.6
1812 male 73 163.7
1813 female 42 167.4
1814 female 60 152.7
1815 male 0 NA
1816 male 43 177.2
1817 male 76 159.0
1818 female 18 166.2
1819 female 80 NA
1820 female 80 159.3
1821 male 13 152.2
1822 male 1 NA
1823 female 64 157.9
1824 male 13 181.6
1825 male 7 126.2
1826 female 51 151.6
1827 male 74 171.3
1828 male 16 153.9
1829 male 31 169.4
1830 male 19 176.8
1831 female 50 165.0
1832 female 13 161.9
1833 male 20 179.5
1834 female 62 154.3
1835 female 67 150.1
1836 male 0 NA
1837 female 8 136.2
1838 male 72 177.2
1839 male 48 167.1
1840 female 3 91.0
1841 male 80 NA
1842 female 44 159.7
1843 male 5 108.6
1844 male 72 164.6
1845 male 22 183.6
1846 male 78 167.2
1847 male 31 190.9
1848 male 29 188.4
1849 male 46 180.0
1850 male 7 131.4
1851 female 44 151.2
1852 male 43 176.3
1853 male 47 188.0
1854 male 23 175.7
1855 male 33 170.7
1856 male 2 100.1
1857 female 68 165.6
1858 female 56 161.3
1859 female 4 96.9
1860 female 66 151.8
1861 male 75 183.5
1862 male 80 166.2
1863 male 49 185.4
1864 male 66 167.6
1865 male 53 168.9
1866 male 8 136.2
1867 male 34 173.1
1868 male 14 177.1
1869 female 45 151.0
1870 female 80 155.9
1871 male 3 100.9
1872 female 0 NA
1873 male 30 164.7
1874 male 30 170.4
1875 male 18 168.9
1876 male 80 173.6
1877 female 8 129.7
1878 female 60 176.6
1879 male 54 169.4
1880 male 0 NA
1881 female 69 153.3
1882 female 2 87.3
1883 female 50 153.5
1884 male 0 NA
1885 male 26 159.1
1886 female 0 NA
1887 female 55 151.6
1888 female 22 160.8
1889 female 59 148.8
1890 male 8 132.7
1891 female 16 157.5
1892 female 24 180.4
1893 male 50 163.1
1894 male 18 179.8
1895 female 6 123.5
1896 female 5 103.5
1897 male 52 185.5
1898 male 11 153.4
1899 male 61 174.8
1900 male 54 158.9
1901 female 12 147.7
1902 male 64 181.0
1903 female 63 163.5
1904 female 12 153.8
1905 female 38 153.7
1906 male 76 177.1
1907 male 63 172.5
1908 male 22 173.0
1909 female 59 167.8
1910 female 14 147.2
1911 male 38 164.6
1912 female 80 152.9
1913 female 4 103.9
1914 male 70 184.1
1915 female 32 167.5
1916 male 52 161.5
1917 male 1 NA
1918 female 71 148.8
1919 female 0 NA
1920 female 47 153.5
1921 female 14 149.1
1922 male 22 185.1
1923 female 71 159.1
1924 male 8 137.2
1925 male 58 188.2
1926 male 0 NA
1927 female 49 166.8
1928 male 6 126.3
1929 male 5 113.5
1930 female 19 163.2
1931 male 9 136.5
1932 female 58 NA
1933 female 57 160.1
1934 female 60 164.1
1935 male 7 122.6
1936 male 10 137.2
1937 male 43 180.9
1938 male 10 157.1
1939 female 5 111.2
1940 male 4 109.1
1941 male 80 168.1
1942 female 0 NA
1943 male 33 176.1
1944 female 14 162.9
1945 male 26 175.6
1946 male 13 168.8
1947 male 15 174.5
1948 female 63 147.6
1949 male 14 178.5
1950 male 51 162.1
1951 male 32 183.6
1952 male 75 169.8
1953 male 6 127.3
1954 male 51 157.7
1955 female 19 163.9
1956 male 60 171.7
1957 male 23 163.5
1958 male 61 182.6
1959 male 50 171.6
1960 female 63 163.7
1961 female 64 157.1
1962 female 66 161.7
1963 male 9 134.0
1964 female 37 155.3
1965 male 13 160.7
1966 female 78 161.1
1967 female 35 167.5
1968 female 78 151.4
1969 female 3 101.7
1970 male 18 162.6
1971 male 16 169.4
1972 female 4 112.3
1973 male 51 172.9
1974 female 5 114.0
1975 male 27 180.1
1976 female 28 163.9
1977 female 48 166.0
1978 male 33 160.5
1979 male 23 172.5
1980 female 26 150.7
1981 male 63 170.9
1982 male 4 111.8
1983 male 4 105.0
1984 female 76 159.4
1985 female 25 168.0
1986 male 3 97.2
1987 male 10 141.1
1988 male 68 173.1
1989 male 38 180.0
1990 male 0 NA
1991 male 6 126.0
1992 female 11 141.6
1993 female 34 161.4
1994 female 19 163.9
1995 female 59 157.0
1996 male 2 83.3
1997 female 24 151.0
1998 female 63 171.6
1999 male 80 152.5
2000 male 45 172.6
2001 male 3 103.0
2002 female 14 181.8
2003 male 12 162.0
2004 male 12 165.9
2005 male 80 180.1
2006 male 37 176.2
2007 female 16 162.3
2008 male 66 175.6
2009 female 9 149.4
2010 male 66 175.8
2011 female 45 152.5
2012 male 11 150.5
2013 male 14 176.8
2014 male 80 169.3
2015 male 70 171.9
2016 female 5 118.1
2017 female 63 159.3
2018 male 61 166.2
2019 female 17 159.5
2020 female 48 157.3
2021 female 55 164.8
2022 male 2 93.0
2023 male 80 167.8
2024 male 44 179.8
2025 male 10 129.8
2026 male 27 174.0
2027 male 5 125.1
2028 male 73 169.5
2029 female 70 150.7
2030 male 80 171.7
2031 female 0 NA
2032 female 52 156.5
2033 female 40 163.2
2034 female 27 163.4
2035 male 28 165.5
2036 female 1 NA
2037 female 24 157.5
2038 male 28 185.7
2039 female 40 NA
2040 male 5 117.6
2041 male 14 174.4
2042 male 32 176.5
2043 female 13 164.8
2044 female 51 162.4
2045 female 10 132.7
2046 male 80 157.6
2047 female 80 159.2
2048 male 73 156.6
2049 female 47 161.2
2050 female 80 160.7
2051 female 34 161.4
2052 male 80 177.9
2053 male 66 185.1
2054 female 20 168.7
2055 female 5 113.9
2056 female 0 NA
2057 male 76 165.8
2058 female 18 160.4
2059 female 67 161.9
2060 female 6 122.5
2061 male 62 164.8
2062 female 1 NA
2063 male 13 172.4
2064 female 69 166.1
2065 female 64 158.4
2066 male 26 185.5
2067 female 31 167.6
2068 female 5 113.9
2069 female 0 NA
2070 female 57 164.9
2071 female 8 126.5
2072 female 9 139.8
2073 female 17 160.4
2074 male 56 175.2
2075 male 17 177.7
2076 male 0 NA
2077 female 0 NA
2078 female 12 160.4
2079 female 32 177.7
2080 male 5 113.5
2081 female 14 161.6
2082 male 62 164.4
2083 male 31 180.7
2084 female 3 95.8
2085 female 61 153.7
2086 male 21 173.2
2087 female 53 165.1
2088 male 5 108.3
2089 female 16 160.6
2090 female 19 NA
2091 male 69 173.3
2092 male 5 121.5
2093 male 50 170.0
2094 female 38 155.5
2095 male 50 182.2
2096 female 80 163.6
2097 female 47 160.5
2098 male 57 169.8
2099 female 74 163.8
2100 male 47 182.2
2101 female 8 129.6
2102 male 4 109.7
2103 male 25 174.4
2104 male 8 146.7
2105 female 65 172.9
2106 male 2 97.2
2107 female 12 157.6
2108 female 18 160.5
2109 female 56 160.6
2110 female 10 146.5
2111 male 5 121.7
2112 female 69 143.5
2113 male 1 NA
2114 male 16 174.1
2115 female 12 156.1
2116 male 19 165.1
2117 female 63 165.1
2118 male 9 134.6
2119 male 1 NA
2120 male 76 159.8
2121 female 3 93.6
2122 female 6 108.9
2123 female 9 124.9
2124 male 54 172.6
2125 female 70 154.0
2126 female 3 92.1
2127 female 18 170.8
2128 male 7 120.2
2129 male 45 181.5
2130 male 24 169.7
2131 male 68 172.5
2132 female 18 165.6
2133 female 22 164.0
2134 male 17 184.1
2135 female 2 84.1
2136 female 12 164.8
2137 male 17 168.0
2138 female 11 165.3
2139 male 4 99.0
2140 male 32 179.1
2141 female 8 122.0
2142 female 80 162.7
2143 male 66 178.9
2144 female 8 109.5
2145 female 49 157.5
2146 male 48 186.9
2147 female 7 123.9
2148 female 71 152.6
2149 female 3 95.6
2150 female 21 154.5
2151 female 4 103.1
2152 male 8 148.1
2153 female 65 167.9
2154 female 26 178.4
2155 male 57 184.6
2156 male 66 174.5
2157 male 8 121.4
2158 male 69 170.3
2159 female 78 156.8
2160 female 9 126.7
2161 male 62 176.9
2162 male 48 165.6
2163 male 80 NA
2164 male 80 171.1
2165 female 13 164.2
2166 female 28 167.5
2167 male 43 174.4
2168 female 79 158.2
2169 female 80 160.1
2170 female 11 158.4
2171 female 47 147.8
2172 female 42 166.0
2173 female 61 156.5
2174 male 29 161.9
2175 male 16 190.7
2176 male 29 181.7
2177 male 64 171.9
2178 female 34 158.1
2179 female 49 152.6
2180 male 55 186.0
2181 male 14 172.4
2182 female 38 146.3
2183 male 52 178.8
2184 male 4 100.7
2185 male 64 174.1
2186 female 32 162.6
2187 male 16 193.9
2188 female 15 160.2
2189 female 36 162.0
2190 female 1 NA
2191 male 80 173.9
2192 male 64 159.0
2193 female 12 149.4
2194 female 80 157.0
2195 female 80 142.9
2196 male 0 NA
2197 male 56 165.2
2198 female 73 155.2
2199 male 40 186.5
2200 female 8 129.0
2201 female 80 156.3
2202 male 10 135.3
2203 male 31 165.2
2204 male 59 183.2
2205 female 24 170.9
2206 female 11 154.5
2207 female 60 159.8
2208 male 57 178.9
2209 female 20 157.0
2210 female 13 166.6
2211 male 60 173.4
2212 female 55 159.4
2213 male 1 NA
2214 male 9 137.1
2215 male 80 173.0
2216 female 6 119.0
2217 female 9 124.6
2218 female 61 163.6
2219 female 5 114.8
2220 male 4 104.3
2221 male 10 133.9
2222 male 47 160.7
2223 male 69 165.1
2224 female 46 164.8
2225 female 11 158.1
2226 female 14 152.0
2227 female 0 NA
2228 male 10 147.8
2229 male 20 176.9
2230 male 11 140.4
2231 female 10 130.3
2232 female 0 NA
2233 male 67 166.7
2234 female 1 NA
2235 female 27 161.6
2236 male 49 174.4
2237 male 66 153.3
2238 male 52 169.0
2239 female 42 159.0
2240 female 17 167.0
2241 male 7 130.7
2242 male 45 167.4
2243 male 12 148.1
2244 female 2 92.0
2245 female 34 171.4
2246 male 80 172.7
2247 male 19 174.1
2248 male 52 156.1
2249 female 10 137.7
2250 male 37 189.3
2251 female 17 154.8
2252 female 34 170.2
2253 male 25 179.4
2254 male 65 172.9
2255 male 68 168.0
2256 male 20 173.1
2257 male 76 174.3
2258 male 63 171.4
2259 female 54 152.6
2260 male 22 171.9
2261 female 20 156.8
2262 female 52 170.4
2263 male 52 180.0
2264 male 58 179.6
2265 male 42 175.3
2266 male 63 158.4
2267 male 65 168.3
2268 male 52 NA
2269 female 23 159.2
2270 male 17 164.2
2271 female 24 163.2
2272 female 10 136.5
2273 female 47 161.6
2274 male 8 132.5
2275 female 31 150.9
2276 male 73 167.7
2277 male 2 87.3
2278 male 68 NA
2279 female 71 NA
2280 female 54 161.7
2281 male 68 163.4
2282 female 2 86.6
2283 female 14 180.1
2284 male 60 172.3
2285 female 65 161.2
2286 female 54 139.7
2287 female 35 155.1
2288 female 52 156.5
2289 female 28 165.9
2290 male 5 109.8
2291 male 17 180.5
2292 male 16 185.8
2293 male 5 119.1
2294 male 61 170.6
2295 male 3 105.0
2296 male 16 185.1
2297 male 32 185.2
2298 female 65 154.7
2299 female 73 154.7
2300 male 62 161.9
2301 female 48 159.8
2302 male 34 172.6
2303 male 27 162.9
2304 male 54 161.8
2305 male 60 157.4
2306 male 3 104.5
2307 male 55 169.9
2308 female 64 158.8
2309 female 78 169.0
2310 female 0 NA
2311 male 31 184.2
2312 female 2 89.6
2313 female 63 153.6
2314 male 23 174.5
2315 male 57 172.3
2316 male 61 161.9
2317 female 10 134.2
2318 female 1 NA
2319 male 4 105.3
2320 male 46 172.0
2321 male 11 140.5
2322 male 26 178.7
2323 female 61 145.7
2324 female 58 163.6
2325 female 9 143.3
2326 female 60 163.0
2327 female 35 145.6
2328 female 64 151.3
2329 female 64 149.2
2330 female 8 142.5
2331 female 13 157.5
2332 female 63 156.5
2333 female 72 161.8
2334 female 80 153.5
2335 female 80 159.8
2336 male 8 128.7
2337 male 39 170.7
2338 male 6 109.7
2339 female 16 160.0
2340 male 63 179.1
2341 male 64 178.4
2342 female 4 109.1
2343 male 74 167.0
2344 female 0 NA
2345 male 0 NA
2346 male 80 164.6
2347 female 75 149.1
2348 male 45 176.0
2349 male 11 144.9
2350 female 55 157.4
2351 male 50 192.3
2352 male 54 161.7
2353 female 39 152.0
2354 female 14 149.1
2355 male 8 143.4
2356 female 4 100.9
2357 male 80 174.3
2358 female 34 163.2
2359 male 12 166.3
2360 female 29 161.5
2361 male 7 129.6
2362 male 0 NA
2363 male 11 147.8
2364 male 10 144.7
2365 male 5 111.8
2366 female 3 97.0
2367 male 52 178.3
2368 male 9 134.9
2369 female 3 102.3
2370 female 2 89.7
2371 male 2 89.4
2372 male 80 174.8
2373 male 32 169.5
2374 female 0 NA
2375 female 17 160.6
2376 female 13 160.9
2377 female 56 168.2
2378 male 71 172.3
2379 female 41 158.7
2380 male 33 179.5
2381 male 66 184.9
2382 female 40 161.4
2383 male 70 171.9
2384 female 59 166.5
2385 male 6 120.8
2386 male 31 175.3
2387 female 6 127.3
2388 female 24 147.0
2389 male 60 170.9
2390 female 2 80.0
2391 male 7 137.4
2392 male 18 172.5
2393 male 40 176.2
2394 male 17 180.3
2395 female 78 156.0
2396 female 58 160.8
2397 male 18 177.0
2398 female 69 154.1
2399 female 42 157.4
2400 female 18 161.0
2401 male 64 169.3
2402 female 29 160.6
2403 female 38 151.6
2404 female 60 155.6
2405 female 12 160.3
2406 male 11 153.5
2407 female 7 118.7
2408 female 58 155.6
2409 male 42 172.6
2410 female 4 114.6
2411 female 79 151.2
2412 female 47 176.7
2413 male 3 98.0
2414 male 0 NA
2415 male 1 NA
2416 female 32 155.1
2417 female 6 124.3
2418 male 9 136.8
2419 male 12 169.1
2420 female 16 157.1
2421 male 12 144.8
2422 female 45 NA
2423 male 66 166.7
2424 female 53 151.2
2425 male 0 NA
2426 male 80 162.6
2427 female 33 148.9
2428 male 25 180.0
2429 male 70 159.3
2430 male 29 173.8
2431 male 13 158.2
2432 female 31 163.1
2433 male 49 180.0
2434 female 5 121.0
2435 female 54 156.2
2436 female 19 159.1
2437 male 49 173.8
2438 male 46 182.1
2439 male 71 179.4
2440 female 16 167.9
2441 male 12 154.5
2442 female 74 154.6
2443 male 19 178.8
2444 male 17 170.1
2445 female 73 159.3
2446 female 53 165.6
2447 female 4 103.5
2448 male 64 165.1
2449 female 15 173.2
2450 male 31 171.0
2451 female 72 154.5
2452 female 32 166.8
2453 male 17 178.4
2454 male 29 172.2
2455 female 7 117.8
2456 male 54 195.5
2457 male 72 169.9
2458 female 60 163.1
2459 male 12 140.2
2460 female 80 156.8
2461 female 0 NA
2462 male 53 165.2
2463 female 76 154.6
2464 male 54 154.0
2465 female 19 170.9
2466 female 31 154.9
2467 female 29 155.1
2468 female 3 90.2
2469 male 13 162.2
2470 male 0 NA
2471 male 68 176.0
2472 female 41 172.4
2473 female 70 161.2
2474 male 46 170.0
2475 male 69 168.4
2476 female 34 147.5
2477 male 63 168.7
2478 male 0 NA
2479 female 26 148.2
2480 male 14 175.9
2481 female 10 139.2
2482 male 12 157.6
2483 female 42 166.1
2484 male 64 183.6
2485 male 49 179.0
2486 female 60 151.3
2487 female 10 142.0
2488 male 80 178.9
2489 male 74 170.4
2490 male 20 178.1
2491 female 19 NA
2492 female 71 163.4
2493 male 49 171.6
2494 male 7 117.8
2495 female 80 160.5
2496 male 8 137.4
2497 female 42 156.2
2498 male 13 172.3
2499 male 29 159.7
2500 female 15 164.6
2501 male 54 187.7
2502 male 76 171.0
2503 male 19 170.0
2504 male 60 173.4
2505 male 67 172.6
2506 male 1 NA
2507 female 3 92.2
2508 female 20 149.5
2509 male 69 174.6
2510 female 48 151.1
2511 male 0 NA
2512 female 72 156.2
2513 female 17 168.0
2514 female 61 159.9
2515 female 10 136.8
2516 female 6 107.1
2517 female 39 165.6
2518 female 61 154.2
2519 male 58 183.4
2520 female 31 157.9
2521 male 15 172.0
2522 female 77 164.9
2523 female 14 161.5
2524 male 50 180.9
2525 male 53 177.6
2526 female 16 163.5
2527 male 80 170.6
2528 male 12 151.7
2529 female 52 154.3
2530 male 7 128.0
2531 female 21 175.8
2532 male 43 176.0
2533 female 4 102.6
2534 male 29 169.0
2535 female 17 154.9
2536 male 0 NA
2537 female 59 159.9
2538 male 62 175.5
2539 female 4 101.7
2540 female 77 152.4
2541 male 46 185.8
2542 male 16 173.8
2543 female 28 164.1
2544 male 71 177.7
2545 female 7 128.5
2546 female 10 NA
2547 male 38 184.7
2548 male 9 144.4
2549 male 32 190.2
2550 male 42 166.2
2551 male 32 171.9
2552 female 13 165.1
2553 male 18 180.2
2554 male 23 168.6
2555 female 74 153.1
2556 female 23 147.9
2557 female 73 162.1
2558 female 44 142.7
2559 female 80 NA
2560 male 14 163.5
2561 female 60 167.8
2562 female 11 150.6
2563 male 71 179.8
2564 male 1 NA
2565 male 36 176.4
2566 female 42 172.4
2567 female 33 156.1
2568 female 15 162.9
2569 female 15 161.2
2570 male 60 178.7
2571 female 12 157.4
2572 female 66 151.4
2573 male 2 NA
2574 male 1 NA
2575 male 15 172.5
2576 male 80 155.8
2577 female 37 162.4
2578 male 8 125.5
2579 male 47 172.3
2580 female 47 160.7
2581 female 35 160.7
2582 female 3 96.7
2583 female 10 143.1
2584 male 74 179.2
2585 female 3 88.7
2586 male 63 174.4
2587 female 61 158.4
2588 male 14 181.9
2589 female 24 165.3
2590 female 21 NA
2591 male 66 167.8
2592 female 62 162.4
2593 male 0 NA
2594 female 50 164.2
2595 female 61 150.0
2596 female 53 160.6
2597 female 80 NA
2598 male 38 159.5
2599 female 24 150.8
2600 male 34 185.7
2601 female 69 154.9
2602 male 58 181.6
2603 male 1 NA
2604 female 5 110.1
2605 female 2 87.6
2606 male 3 96.9
2607 male 65 164.4
2608 male 26 176.9
2609 female 41 160.3
2610 female 31 170.6
2611 female 16 155.9
2612 female 66 154.3
2613 female 42 152.7
2614 male 47 166.0
2615 male 65 197.7
2616 male 5 114.8
2617 male 79 161.1
2618 female 37 156.1
2619 male 51 180.3
2620 female 37 166.7
2621 male 65 176.6
2622 male 18 168.6
2623 female 56 164.4
2624 male 65 161.0
2625 male 29 185.9
2626 male 11 149.1
2627 female 49 169.0
2628 male 27 174.9
2629 female 21 154.8
2630 male 77 174.9
2631 male 19 186.2
2632 male 62 164.5
2633 female 57 150.4
2634 female 39 157.0
2635 female 53 154.8
2636 male 4 105.3
2637 male 8 135.7
2638 male 5 118.2
2639 male 22 173.2
2640 male 1 NA
2641 female 22 168.0
2642 male 10 143.8
2643 male 24 163.9
2644 male 50 171.1
2645 female 60 158.9
2646 female 72 153.6
2647 female 13 165.3
2648 female 40 168.0
2649 female 37 150.1
2650 female 46 158.6
2651 male 21 185.2
2652 female 32 160.0
2653 male 41 177.4
2654 male 64 174.7
2655 male 24 180.9
2656 female 80 159.1
2657 male 69 167.3
2658 female 18 160.5
2659 female 54 168.0
2660 female 14 152.9
2661 female 33 154.0
2662 male 6 117.1
2663 male 62 172.1
2664 female 52 163.8
2665 female 21 166.8
2666 male 8 127.4
2667 male 80 172.2
2668 male 63 NA
2669 male 6 125.5
2670 male 66 165.8
2671 male 8 130.7
2672 female 3 97.3
2673 female 45 161.8
2674 male 15 174.7
2675 female 48 159.2
2676 male 4 108.8
2677 male 9 130.0
2678 female 66 151.9
2679 female 51 154.8
2680 female 9 139.1
2681 male 66 160.8
2682 male 5 119.3
2683 female 17 168.6
2684 female 46 159.6
2685 male 13 170.1
2686 female 17 165.4
2687 male 44 176.6
2688 female 44 162.3
2689 female 28 171.5
2690 male 0 NA
2691 male 15 175.0
2692 female 36 163.0
2693 male 43 171.1
2694 male 58 177.2
2695 male 31 192.5
2696 male 46 184.8
2697 female 0 NA
2698 male 38 182.8
2699 male 29 167.5
2700 male 13 160.7
2701 male 71 173.3
2702 male 53 184.9
2703 female 9 136.7
2704 female 15 154.5
2705 female 18 168.8
2706 male 23 183.7
2707 female 2 89.7
2708 male 80 168.8
2709 male 77 166.3
2710 male 10 139.7
2711 female 58 161.4
2712 male 8 143.5
2713 female 46 165.8
2714 female 39 155.3
2715 male 0 NA
2716 male 56 170.1
2717 male 9 123.5
2718 male 54 169.1
2719 female 10 144.8
2720 male 27 178.0
2721 male 9 139.3
2722 male 47 174.4
2723 male 79 171.1
2724 female 10 158.2
2725 male 62 172.6
2726 female 65 161.8
2727 male 30 175.8
2728 male 40 157.5
2729 female 15 156.1
2730 female 27 153.6
2731 male 1 NA
2732 male 80 170.4
2733 male 30 177.4
2734 male 39 180.3
2735 female 64 151.4
2736 male 35 170.2
2737 female 4 105.2
2738 female 67 158.6
2739 male 72 167.7
2740 female 25 155.8
2741 male 3 NA
2742 male 80 168.4
2743 male 60 179.3
2744 male 14 164.1
2745 male 71 184.8
2746 male 30 172.4
2747 female 36 160.8
2748 female 34 157.4
2749 male 10 154.4
2750 female 5 112.2
2751 female 7 125.1
2752 male 79 175.8
2753 male 62 166.8
2754 male 51 165.9
2755 female 7 124.8
2756 female 36 166.6
2757 female 23 172.9
2758 male 2 94.8
2759 female 40 159.6
2760 male 53 167.3
2761 male 36 169.0
2762 male 26 166.9
2763 male 23 179.5
2764 male 32 171.0
2765 female 46 173.4
2766 male 41 175.6
2767 male 37 177.5
2768 male 65 171.8
2769 male 59 161.3
2770 male 2 97.2
2771 female 40 164.2
2772 male 17 186.5
2773 male 58 175.3
2774 male 78 159.9
2775 male 5 109.3
2776 male 35 190.5
2777 male 67 159.6
2778 male 2 92.0
2779 male 66 163.0
2780 male 44 165.9
2781 female 14 165.0
2782 male 51 181.9
2783 female 1 NA
2784 female 49 163.9
2785 male 63 173.4
2786 male 28 169.0
2787 male 80 166.3
2788 male 13 184.8
2789 male 24 157.6
2790 male 26 181.8
2791 male 60 175.0
2792 female 58 174.8
2793 female 61 167.0
2794 female 24 164.9
2795 male 0 NA
2796 female 20 163.4
2797 female 1 NA
2798 female 1 NA
2799 male 52 167.7
2800 male 69 165.2
2801 female 0 NA
2802 female 55 159.7
2803 female 12 152.6
2804 female 37 162.8
2805 male 32 173.0
2806 male 6 117.7
2807 male 30 180.4
2808 female 18 168.1
2809 female 25 165.3
2810 female 1 NA
2811 female 30 163.6
2812 female 6 126.2
2813 female 33 167.7
2814 male 10 146.1
2815 female 41 NA
2816 female 17 162.8
2817 female 80 156.7
2818 male 58 179.0
2819 female 11 155.9
2820 female 5 98.9
2821 male 5 110.5
2822 male 29 174.1
2823 female 18 153.8
2824 male 39 181.0
2825 female 25 156.3
2826 male 18 179.8
2827 male 25 180.5
2828 male 40 173.6
2829 female 59 156.3
2830 male 68 172.4
2831 male 74 166.4
2832 female 0 NA
2833 female 80 160.6
2834 male 40 166.0
2835 male 40 174.2
2836 female 64 165.9
2837 female 52 162.4
2838 male 1 NA
2839 female 36 160.7
2840 female 80 156.5
2841 male 0 NA
2842 male 13 168.6
2843 female 3 101.0
2844 male 80 159.9
2845 female 50 169.7
2846 male 80 167.6
2847 female 32 167.0
2848 male 68 172.9
2849 female 38 163.2
2850 female 8 129.6
2851 female 33 156.4
2852 female 61 177.1
2853 female 76 157.8
2854 male 6 121.7
2855 female 8 115.9
2856 female 53 151.5
2857 male 41 169.8
2858 male 57 180.7
2859 female 12 152.6
2860 female 19 154.7
2861 male 3 106.7
2862 male 72 168.1
2863 female 34 160.3
2864 male 1 NA
2865 male 20 174.4
2866 male 27 176.2
2867 female 10 158.2
2868 male 33 185.2
2869 male 33 167.1
2870 female 52 160.9
2871 male 17 188.7
2872 female 0 NA
2873 female 37 150.3
2874 male 8 134.2
2875 female 53 146.1
2876 female 12 160.2
2877 female 54 NA
2878 male 78 176.4
2879 female 79 148.7
2880 female 23 163.2
2881 male 47 178.9
2882 female 19 166.4
2883 male 48 178.3
2884 female 7 124.2
2885 male 8 135.5
2886 male 14 174.7
2887 male 27 161.8
2888 female 12 160.5
2889 female 52 161.4
2890 female 56 174.7
2891 female 78 158.3
2892 female 67 158.7
2893 female 5 117.6
2894 female 28 153.9
2895 female 80 159.8
2896 male 19 163.2
2897 male 60 185.0
2898 female 17 182.0
2899 male 0 NA
2900 male 80 184.0
2901 male 7 128.0
2902 male 10 NA
2903 female 58 158.5
2904 male 74 160.1
2905 female 80 NA
2906 female 79 163.1
2907 female 29 164.4
2908 female 80 151.1
2909 male 34 NA
2910 female 1 NA
2911 female 61 164.5
2912 male 54 175.1
2913 male 8 128.0
2914 male 22 186.2
2915 female 8 131.0
2916 male 70 180.4
2917 male 75 174.2
2918 male 53 171.5
2919 male 5 114.8
2920 female 5 106.6
2921 male 4 108.2
2922 male 67 174.6
2923 female 64 163.3
2924 male 14 171.9
2925 male 0 NA
2926 male 5 112.7
2927 male 80 176.2
2928 female 39 153.1
2929 female 35 159.6
2930 male 72 157.5
2931 male 30 178.2
2932 female 0 NA
2933 male 77 178.1
2934 female 60 164.0
2935 female 13 156.0
2936 male 49 183.0
2937 female 6 114.3
2938 male 47 187.0
2939 male 21 178.7
2940 male 19 170.4
2941 male 18 173.5
2942 male 3 97.7
2943 male 29 176.8
2944 male 73 172.2
2945 male 11 148.7
2946 female 38 165.3
2947 male 63 181.2
2948 female 4 108.4
2949 male 0 NA
2950 female 34 172.3
2951 male 77 171.1
2952 female 68 168.1
2953 female 59 164.4
2954 male 8 128.4
2955 female 32 163.0
2956 female 22 171.6
2957 male 67 173.6
2958 male 74 173.3
2959 female 75 161.1
2960 male 16 168.7
2961 male 55 176.7
2962 female 0 NA
2963 female 5 113.7
2964 female 44 161.0
2965 female 56 159.7
2966 female 11 154.8
2967 male 17 172.7
2968 female 61 151.2
2969 male 35 169.2
2970 female 0 NA
2971 female 38 162.2
2972 female 80 158.0
2973 male 5 111.4
2974 female 1 NA
2975 male 11 148.2
2976 male 17 167.5
2977 female 22 163.3
2978 male 11 165.3
2979 female 51 171.3
2980 male 56 183.2
2981 female 6 109.5
2982 female 28 172.5
2983 male 80 165.7
2984 female 5 109.9
2985 female 42 162.1
2986 male 49 179.9
2987 male 72 172.5
2988 male 2 98.6
2989 female 80 158.1
2990 female 55 161.8
2991 female 56 164.6
2992 female 60 166.2
2993 male 60 168.5
2994 male 80 179.4
2995 female 25 164.1
2996 female 0 NA
2997 female 16 165.9
2998 female 44 146.7
2999 female 55 160.3
3000 male 24 168.2
3001 female 1 NA
3002 female 57 152.5
3003 female 4 105.7
3004 female 5 111.0
3005 male 20 175.9
3006 male 41 179.2
3007 female 65 149.3
3008 male 42 170.7
3009 male 48 176.2
3010 female 60 159.5
3011 female 80 157.4
3012 male 15 171.2
3013 male 56 169.3
3014 male 21 179.6
3015 male 24 162.0
3016 female 33 156.5
3017 male 75 169.8
3018 male 51 170.3
3019 female 8 130.7
3020 female 3 94.9
3021 male 74 172.3
3022 female 35 171.6
3023 female 73 151.5
3024 female 10 145.2
3025 female 4 103.3
3026 male 50 191.8
3027 female 25 149.8
3028 female 4 107.9
3029 male 49 191.9
3030 female 69 155.1
3031 male 3 98.9
3032 male 7 136.2
3033 female 12 135.5
3034 female 0 NA
3035 male 57 177.9
3036 male 57 178.3
3037 female 9 133.7
3038 female 16 176.6
3039 male 27 170.4
3040 male 59 185.6
3041 male 70 176.4
3042 male 71 159.0
3043 female 7 123.4
3044 male 70 173.2
3045 female 10 135.9
3046 male 1 NA
3047 male 59 167.8
3048 female 55 160.6
3049 male 41 165.1
3050 female 7 130.4
3051 male 13 167.7
3052 female 65 156.6
3053 female 32 158.0
3054 female 59 159.2
3055 female 39 155.4
3056 male 15 158.5
3057 male 9 125.7
3058 female 70 160.2
3059 male 18 173.9
3060 male 77 159.6
3061 male 33 176.8
3062 female 0 NA
3063 female 6 124.1
3064 female 36 165.1
3065 female 63 153.5
3066 female 60 173.3
3067 male 55 160.3
3068 male 64 169.7
3069 male 70 173.2
3070 male 9 130.2
3071 female 24 163.5
3072 male 33 174.0
3073 female 47 169.7
3074 male 15 173.8
3075 female 71 156.8
3076 female 6 124.0
3077 female 65 167.9
3078 male 52 164.5
3079 female 25 160.8
3080 female 21 157.7
3081 male 13 167.4
3082 male 38 164.9
3083 female 49 153.2
3084 male 16 171.0
3085 female 62 168.7
3086 male 2 92.6
3087 female 30 154.5
3088 male 63 172.2
3089 female 7 117.1
3090 male 60 180.5
3091 female 34 157.1
3092 male 15 171.0
3093 male 13 178.4
3094 male 80 166.4
3095 female 38 170.1
3096 female 80 153.4
3097 male 0 NA
3098 male 3 98.9
3099 female 64 159.9
3100 male 30 175.5
3101 female 4 105.2
3102 male 28 161.5
3103 male 52 182.6
3104 male 61 177.6
3105 female 6 114.0
3106 female 38 161.3
3107 male 9 136.4
3108 female 68 157.7
3109 female 2 90.2
3110 male 33 181.5
3111 male 11 141.0
3112 female 4 104.3
3113 male 20 181.6
3114 female 16 155.9
3115 male 0 NA
3116 male 5 106.0
3117 male 6 125.4
3118 male 13 160.3
3119 male 30 167.9
3120 female 26 157.7
3121 female 14 164.4
3122 male 50 162.6
3123 female 4 108.0
3124 female 72 156.8
3125 female 4 103.1
3126 female 66 155.6
3127 male 27 165.6
3128 male 44 164.5
3129 male 12 NA
3130 male 27 184.4
3131 male 46 158.8
3132 female 80 155.7
3133 female 55 171.4
3134 female 36 161.6
3135 female 80 155.1
3136 female 26 154.4
3137 male 17 182.2
3138 male 55 168.7
3139 female 57 160.6
3140 male 70 169.6
3141 male 50 182.3
3142 male 12 153.0
3143 female 31 162.0
3144 female 36 164.1
3145 female 28 177.1
3146 male 32 177.6
3147 female 53 163.8
3148 male 76 166.2
3149 female 58 157.0
3150 female 26 160.9
3151 female 33 170.2
3152 female 17 160.9
3153 female 30 155.0
3154 male 8 127.8
3155 male 61 189.1
3156 male 9 130.6
3157 female 34 159.0
3158 male 52 176.9
3159 male 13 162.0
3160 male 68 164.4
3161 male 7 126.1
3162 female 4 102.7
3163 male 40 180.5
3164 male 53 175.1
3165 female 72 162.5
3166 female 26 160.2
3167 female 80 150.7
3168 male 44 184.8
3169 male 20 170.2
3170 male 1 NA
3171 male 4 108.7
3172 male 51 171.3
3173 male 24 165.1
3174 male 42 186.8
3175 male 0 NA
3176 male 59 168.1
3177 female 2 94.3
3178 female 14 158.0
3179 male 16 168.7
3180 female 31 153.0
3181 male 2 84.3
3182 female 0 NA
3183 female 18 162.4
3184 male 19 184.3
3185 female 52 163.9
3186 female 28 167.1
3187 female 5 125.4
3188 female 80 150.9
3189 female 0 NA
3190 male 0 NA
3191 female 0 NA
3192 female 0 NA
3193 female 7 132.2
3194 male 60 184.4
3195 male 10 149.8
3196 female 9 139.0
3197 female 31 157.3
3198 female 35 174.8
3199 female 30 154.6
3200 female 44 161.3
3201 female 69 160.6
3202 male 53 167.7
3203 male 19 172.9
3204 female 77 155.1
3205 female 22 171.0
3206 female 2 88.7
3207 female 70 157.1
3208 female 31 171.9
3209 male 38 169.5
3210 male 56 182.7
3211 female 20 160.3
3212 male 49 183.9
3213 male 51 164.9
3214 female 74 162.1
3215 male 10 132.7
3216 male 43 182.2
3217 male 16 160.2
3218 female 2 93.2
3219 female 17 175.7
3220 male 65 168.0
3221 female 23 159.2
3222 female 63 151.1
3223 male 72 172.8
3224 female 3 97.8
3225 female 80 149.5
3226 female 44 170.5
3227 female 29 167.8
3228 female 45 161.4
3229 female 62 159.9
3230 male 57 182.0
3231 male 3 90.4
3232 male 19 178.0
3233 female 29 149.6
3234 female 40 165.5
3235 male 19 175.5
3236 female 53 167.0
3237 female 65 156.9
3238 female 0 NA
3239 male 14 176.2
3240 male 0 NA
3241 female 39 160.5
3242 female 47 172.5
3243 male 29 167.3
3244 female 43 165.2
3245 female 44 156.4
3246 male 61 166.3
3247 male 18 184.0
3248 female 46 157.3
3249 female 19 154.2
3250 female 37 152.2
3251 female 4 104.3
3252 female 66 155.7
3253 male 58 173.4
3254 female 6 120.6
3255 female 45 163.7
3256 male 30 171.9
3257 male 3 96.2
3258 male 52 180.6
3259 female 45 158.6
3260 male 23 176.2
3261 male 1 NA
3262 female 6 121.0
3263 female 16 163.6
3264 male 60 NA
3265 male 55 155.5
3266 male 62 178.0
3267 female 66 168.8
3268 female 40 156.6
3269 female 13 157.2
3270 male 54 167.2
3271 female 67 163.1
3272 male 10 133.6
3273 female 74 155.2
3274 female 6 122.9
3275 female 18 166.5
3276 female 26 150.7
3277 male 7 117.8
3278 female 58 152.3
3279 male 41 164.3
3280 female 55 149.9
3281 female 13 NA
3282 female 80 156.9
3283 male 65 159.1
3284 male 19 176.0
3285 female 27 163.0
3286 female 19 166.3
3287 female 9 146.4
3288 male 46 182.1
3289 male 14 157.2
3290 female 80 NA
3291 male 71 177.7
3292 female 0 NA
3293 female 44 157.0
3294 female 67 153.9
3295 male 28 181.3
3296 male 69 162.9
3297 male 0 NA
3298 female 1 NA
3299 female 61 154.7
3300 female 73 157.4
3301 male 15 171.2
3302 male 56 179.0
3303 male 60 175.0
3304 male 6 116.9
3305 male 0 NA
3306 female 80 155.7
3307 female 1 NA
3308 male 69 183.4
3309 female 2 NA
3310 male 30 182.4
3311 female 71 162.3
3312 male 47 176.7
3313 female 54 NA
3314 male 13 170.3
3315 female 7 120.0
3316 male 0 NA
3317 female 71 151.8
3318 female 69 150.7
3319 female 29 161.7
3320 male 15 172.3
3321 male 10 142.4
3322 male 11 140.9
3323 male 78 170.4
3324 female 53 156.3
3325 male 26 181.7
3326 female 72 155.4
3327 female 80 157.3
3328 female 1 NA
3329 female 4 99.4
3330 male 49 182.3
3331 female 80 157.9
3332 male 10 140.1
3333 female 27 155.5
3334 male 16 178.8
3335 male 69 157.5
3336 female 32 161.1
3337 female 35 168.1
3338 male 45 171.2
3339 female 80 159.1
3340 female 8 125.7
3341 female 13 170.2
3342 female 17 171.7
3343 male 16 163.3
3344 male 75 173.9
3345 female 9 138.3
3346 female 13 165.7
3347 male 39 177.6
3348 female 6 120.7
3349 male 45 179.1
3350 female 68 148.7
3351 female 20 162.4
3352 male 32 189.0
3353 male 41 171.6
3354 female 69 155.3
3355 female 57 162.8
3356 male 1 NA
3357 male 29 170.9
3358 male 57 173.2
3359 female 26 152.4
3360 female 13 155.5
3361 male 57 161.4
3362 female 45 153.1
3363 male 19 184.1
3364 female 16 165.8
3365 female 41 164.0
3366 female 67 153.5
3367 male 8 133.4
3368 male 43 180.2
3369 male 6 117.1
3370 male 80 151.9
3371 female 36 156.3
3372 female 7 140.7
3373 female 80 165.9
3374 male 80 171.3
3375 female 39 172.6
3376 female 0 NA
3377 male 47 166.0
3378 female 27 153.1
3379 female 17 170.0
3380 male 48 167.9
3381 female 11 165.1
3382 female 65 156.1
3383 female 52 166.7
3384 male 19 NA
3385 male 2 89.9
3386 female 17 163.0
3387 female 3 91.2
3388 female 48 161.7
3389 male 11 149.4
3390 female 11 142.7
3391 male 15 173.8
3392 female 27 153.0
3393 male 0 NA
3394 female 2 92.6
3395 male 2 85.7
3396 female 62 151.5
3397 female 14 157.8
3398 male 59 183.1
3399 male 0 NA
3400 male 64 174.3
3401 male 12 140.0
3402 female 8 126.5
3403 female 26 161.1
3404 male 64 176.1
3405 female 20 161.8
3406 male 63 172.0
3407 female 51 169.5
3408 female 2 90.5
3409 female 2 95.5
3410 male 1 NA
3411 female 5 109.7
3412 female 18 166.9
3413 female 29 151.5
3414 male 13 165.1
3415 male 27 163.2
3416 female 0 NA
3417 female 0 NA
3418 male 32 173.2
3419 male 65 178.1
3420 male 37 164.1
3421 female 32 174.7
3422 female 67 149.3
3423 female 19 159.7
3424 female 27 157.9
3425 male 64 177.2
3426 male 76 169.7
3427 female 9 146.3
3428 female 17 164.1
3429 male 72 177.8
3430 female 3 98.2
3431 female 80 156.2
3432 female 48 163.1
3433 female 72 156.3
3434 female 12 158.9
3435 female 58 152.7
3436 male 71 165.0
3437 female 37 170.7
3438 male 80 174.4
3439 female 9 143.2
3440 male 9 134.6
3441 female 57 160.6
3442 male 11 146.5
3443 male 18 163.8
3444 female 4 105.1
3445 male 0 NA
3446 female 68 156.2
3447 female 31 155.7
3448 female 10 134.9
3449 female 12 156.6
3450 male 45 164.6
3451 male 80 170.7
3452 female 31 163.8
3453 female 0 NA
3454 female 29 151.1
3455 male 62 165.3
3456 female 16 163.0
3457 female 17 166.5
3458 male 63 172.1
3459 male 54 187.9
3460 male 22 183.9
3461 male 4 106.4
3462 female 33 164.3
3463 female 49 154.0
3464 male 11 150.6
3465 female 61 168.4
3466 female 9 146.0
3467 female 62 154.1
3468 female 57 162.0
3469 female 17 165.9
3470 female 41 159.3
3471 male 65 169.5
3472 male 71 177.4
3473 female 15 165.5
3474 female 19 168.9
3475 male 38 166.9
3476 male 22 NA
3477 male 69 174.4
3478 male 36 177.8
3479 male 54 167.6
3480 male 31 185.5
3481 female 12 148.2
3482 male 60 182.1
3483 male 13 136.7
3484 female 66 158.9
3485 male 80 181.7
3486 male 76 172.5
3487 male 67 154.6
3488 female 19 162.7
3489 male 3 104.0
3490 male 15 182.6
3491 male 16 176.2
3492 male 47 166.4
3493 female 80 171.5
3494 male 69 167.5
3495 female 6 112.9
3496 male 19 159.5
3497 male 10 148.6
3498 female 23 160.7
3499 male 80 170.2
3500 female 9 134.1
3501 female 4 102.5
3502 female 7 124.4
3503 male 55 162.0
3504 male 67 171.6
3505 male 32 173.1
3506 female 46 151.8
3507 female 15 154.4
3508 male 73 175.8
3509 male 9 140.3
3510 male 3 109.4
3511 male 54 162.6
3512 male 9 131.7
3513 female 77 157.4
3514 female 47 157.0
3515 female 55 155.3
3516 male 51 178.3
3517 female 6 115.5
3518 male 80 160.3
3519 female 32 157.9
3520 female 38 161.9
3521 male 19 173.3
3522 male 4 100.6
3523 male 9 138.1
3524 male 77 166.2
3525 male 51 172.4
3526 male 32 174.5
3527 female 11 157.2
3528 male 19 185.3
3529 female 4 103.8
3530 female 0 NA
3531 male 4 109.8
3532 male 45 173.6
3533 male 48 165.8
3534 male 11 143.2
3535 male 3 100.4
3536 female 7 131.7
3537 male 61 181.4
3538 female 6 122.9
3539 female 56 166.8
3540 male 58 166.5
3541 male 51 178.6
3542 male 52 164.3
3543 male 15 152.1
3544 female 37 162.7
3545 female 27 165.1
3546 female 34 161.2
3547 female 47 155.0
3548 male 9 132.1
3549 female 80 154.9
3550 female 38 169.7
3551 female 4 104.7
3552 female 35 171.1
3553 male 1 NA
3554 female 61 164.8
3555 female 5 117.7
3556 male 50 167.7
3557 female 34 161.5
3558 male 55 175.1
3559 male 38 183.2
3560 female 4 106.5
3561 female 9 144.8
3562 male 46 175.0
3563 female 28 156.3
3564 female 8 131.0
3565 female 80 154.5
3566 male 57 170.1
3567 male 53 166.0
3568 male 20 171.4
3569 male 11 154.4
3570 female 0 NA
3571 female 11 147.2
3572 female 47 159.6
3573 female 2 87.6
3574 female 0 NA
3575 male 80 160.0
3576 female 70 160.7
3577 male 19 179.0
3578 male 56 183.0
3579 female 33 168.2
3580 female 69 156.4
3581 female 53 145.3
3582 female 80 163.0
3583 female 2 89.3
3584 male 17 167.4
3585 female 4 99.7
3586 male 45 179.3
3587 female 2 87.8
3588 female 9 130.7
3589 female 43 162.2
3590 female 11 146.8
3591 male 24 178.2
3592 female 11 155.8
3593 female 4 111.2
3594 female 74 154.5
3595 female 54 163.8
3596 male 9 143.4
3597 male 10 144.7
3598 male 73 153.8
3599 male 69 170.9
3600 female 20 154.9
3601 female 47 160.7
3602 female 61 166.1
3603 male 4 113.4
3604 male 80 172.4
3605 male 54 181.8
3606 female 7 114.9
3607 female 62 160.1
3608 male 16 179.0
3609 male 80 169.2
3610 female 57 163.2
3611 male 53 178.4
3612 female 20 161.6
3613 male 80 160.6
3614 female 44 173.8
3615 female 11 159.5
3616 female 33 157.0
3617 male 63 182.7
3618 female 5 113.1
3619 female 11 153.6
3620 female 23 166.1
3621 male 28 176.4
3622 male 30 176.8
3623 male 0 NA
3624 female 63 156.7
3625 male 80 165.2
3626 female 39 169.2
3627 female 54 154.1
3628 male 41 180.1
3629 female 2 93.9
3630 male 38 NA
3631 female 7 128.4
3632 male 0 NA
3633 male 19 174.7
3634 female 12 150.3
3635 male 5 111.4
3636 female 11 163.4
3637 female 50 151.9
3638 female 13 161.4
3639 female 47 163.5
3640 female 13 162.1
3641 female 0 NA
3642 male 49 175.0
3643 female 48 160.3
3644 male 1 NA
3645 female 64 156.9
3646 female 56 161.8
3647 male 0 NA
3648 male 55 173.0
3649 male 46 176.4
3650 male 8 131.1
3651 female 61 146.8
3652 male 15 180.2
3653 male 0 NA
3654 male 0 NA
3655 female 1 NA
3656 male 41 167.8
3657 male 42 182.8
3658 female 50 165.9
3659 male 54 175.8
3660 male 50 180.6
3661 female 62 158.8
3662 female 44 153.7
3663 female 24 169.6
3664 male 32 168.0
3665 female 56 147.3
3666 male 41 157.8
3667 female 2 84.7
3668 male 26 167.1
3669 male 63 175.3
3670 female 9 128.6
3671 female 15 167.3
3672 male 21 168.4
3673 female 8 137.4
3674 female 8 135.8
3675 male 56 174.7
3676 female 19 153.0
3677 male 29 166.3
3678 male 63 175.4
3679 female 60 166.7
3680 female 56 157.5
3681 male 36 179.1
3682 female 77 163.4
3683 female 40 158.0
3684 male 1 NA
3685 female 23 156.3
3686 female 22 161.8
3687 female 40 173.8
3688 male 2 90.2
3689 female 67 162.8
3690 female 80 152.3
3691 male 16 159.6
3692 male 79 172.2
3693 male 66 166.9
3694 male 28 176.5
3695 male 68 181.2
3696 male 0 NA
3697 female 7 115.7
3698 female 3 100.9
3699 female 2 88.2
3700 male 30 176.0
3701 male 64 178.1
3702 male 65 171.7
3703 female 41 158.6
3704 female 19 163.6
3705 male 8 144.7
3706 female 71 157.9
3707 female 32 146.8
3708 male 13 165.0
3709 female 73 149.7
3710 female 34 175.9
3711 male 0 NA
3712 female 33 163.5
3713 female 78 166.6
3714 female 18 165.6
3715 male 11 152.7
3716 male 0 NA
3717 female 56 151.6
3718 female 0 NA
3719 female 1 NA
3720 male 51 176.5
3721 male 60 NA
3722 male 41 168.4
3723 female 49 161.9
3724 male 74 167.0
3725 female 40 164.1
3726 male 24 174.0
3727 male 1 NA
3728 female 9 137.0
3729 female 14 148.9
3730 female 32 164.8
3731 female 69 157.0
3732 female 15 144.6
3733 male 17 171.2
3734 female 2 NA
3735 female 2 97.3
3736 male 0 NA
3737 male 60 188.0
3738 female 60 162.1
3739 female 5 116.9
3740 male 46 161.1
3741 female 5 116.4
3742 female 38 NA
3743 male 73 163.1
3744 male 2 87.0
3745 female 2 92.8
3746 male 69 166.9
3747 female 62 158.6
3748 male 77 174.7
3749 female 15 164.1
3750 female 27 167.0
3751 female 20 145.9
3752 female 45 150.4
3753 male 0 NA
3754 female 9 143.9
3755 female 41 164.9
3756 male 63 160.8
3757 male 7 121.8
3758 male 11 152.3
3759 female 4 115.1
3760 male 0 NA
3761 male 5 118.2
3762 female 49 155.0
3763 female 47 162.7
3764 male 23 167.9
3765 female 8 134.4
3766 female 56 156.2
3767 male 60 168.3
3768 female 2 NA
3769 female 29 163.0
3770 male 31 166.5
3771 male 80 NA
3772 female 19 163.0
3773 female 52 155.0
3774 male 15 181.5
3775 male 67 192.9
3776 female 47 NA
3777 female 55 156.9
3778 female 5 105.5
3779 male 42 184.9
3780 female 21 169.3
3781 male 35 159.1
3782 female 54 150.8
3783 female 33 170.2
3784 male 50 171.6
3785 female 6 126.1
3786 male 76 168.9
3787 female 22 160.3
3788 female 5 105.4
3789 female 80 146.9
3790 female 69 167.1
3791 female 80 165.9
3792 male 47 164.9
3793 male 11 153.2
3794 female 29 170.2
3795 male 12 174.7
3796 male 80 168.9
3797 male 15 183.8
3798 female 1 NA
3799 female 24 168.3
3800 female 19 165.3
3801 male 80 175.0
3802 female 1 NA
3803 female 39 155.0
3804 male 53 190.8
3805 male 79 179.5
3806 female 16 159.4
3807 female 19 153.9
3808 female 1 NA
3809 female 10 147.2
3810 female 0 NA
3811 male 1 NA
3812 male 30 176.4
3813 male 9 138.8
3814 male 57 177.1
3815 female 1 NA
3816 female 36 161.4
3817 female 52 168.6
3818 female 36 160.1
3819 female 12 162.1
3820 male 55 177.0
3821 male 66 166.8
3822 male 71 182.0
3823 male 47 166.6
3824 female 50 161.2
3825 male 0 NA
3826 male 67 173.9
3827 female 54 152.7
3828 male 77 173.2
3829 male 62 195.5
3830 male 12 155.6
3831 female 13 154.2
3832 female 23 160.9
3833 male 0 NA
3834 female 54 153.9
3835 female 10 NA
3836 female 55 154.9
3837 female 56 165.0
3838 female 50 166.3
3839 female 21 167.7
3840 male 45 171.8
3841 female 53 156.2
3842 male 65 188.4
3843 female 56 161.7
3844 male 80 160.6
3845 female 61 162.3
3846 female 31 175.6
3847 male 16 163.5
3848 female 26 169.0
3849 male 33 158.5
3850 male 67 169.3
3851 female 58 149.4
3852 male 60 174.6
3853 female 14 158.7
3854 female 46 158.7
3855 female 0 NA
3856 female 6 124.9
3857 female 39 171.0
3858 female 46 163.8
3859 male 31 175.0
3860 female 16 165.6
3861 male 13 166.3
3862 male 52 176.6
3863 male 73 158.3
3864 female 0 NA
3865 male 60 168.5
3866 male 11 143.4
3867 male 14 172.1
3868 male 19 185.6
3869 female 45 166.6
3870 female 33 161.4
3871 female 13 165.9
3872 female 15 157.3
3873 male 17 178.4
3874 male 18 176.6
3875 male 17 167.5
3876 male 80 179.3
3877 male 71 170.1
3878 male 5 116.9
3879 male 4 103.7
3880 male 16 170.6
3881 female 18 165.3
3882 male 11 155.4
3883 female 1 NA
3884 male 71 186.5
3885 male 57 187.5
3886 female 26 154.5
3887 male 10 138.8
3888 female 60 165.0
3889 male 0 NA
3890 male 9 133.8
3891 female 64 154.1
3892 female 0 NA
3893 female 13 155.9
3894 female 2 86.5
3895 female 7 123.5
3896 female 42 162.6
3897 male 29 171.9
3898 male 3 97.2
3899 male 18 174.7
3900 male 50 171.1
3901 male 74 162.1
3902 male 24 175.7
3903 male 60 174.3
3904 male 73 165.1
3905 male 3 108.0
3906 male 1 NA
3907 female 49 158.8
3908 female 11 164.2
3909 male 0 NA
3910 female 8 137.3
3911 female 13 171.7
3912 male 32 169.7
3913 female 44 165.5
3914 male 1 NA
3915 male 11 147.0
3916 male 47 173.4
3917 female 9 143.0
3918 female 65 158.8
3919 female 30 158.9
3920 male 5 114.6
3921 female 64 148.3
3922 male 23 172.6
3923 female 11 150.7
3924 female 20 159.0
3925 male 0 NA
3926 male 9 140.6
3927 male 6 120.4
3928 male 0 NA
3929 male 60 166.6
3930 male 3 105.5
3931 female 47 162.3
3932 male 19 176.5
3933 male 13 175.7
3934 male 10 137.8
3935 male 39 177.5
3936 female 6 121.5
3937 female 80 170.2
3938 female 8 138.2
3939 female 64 148.4
3940 female 55 154.4
3941 female 7 126.2
3942 male 58 168.8
3943 female 29 147.9
3944 female 49 163.2
3945 female 4 119.9
3946 male 0 NA
3947 male 13 166.0
3948 female 18 162.6
3949 female 71 166.7
3950 male 3 99.8
3951 male 0 NA
3952 female 54 159.5
3953 male 0 NA
3954 male 10 141.0
3955 female 11 142.4
3956 male 69 169.4
3957 female 15 151.4
3958 female 67 161.4
3959 male 63 179.3
3960 female 57 157.2
3961 male 58 168.2
3962 male 11 NA
3963 male 29 180.6
3964 male 1 NA
3965 male 45 181.0
3966 male 62 173.8
3967 female 78 161.1
3968 male 34 176.1
3969 female 64 163.6
3970 male 7 133.5
3971 male 0 NA
3972 male 62 167.0
3973 female 45 161.7
3974 male 12 159.4
3975 female 10 140.3
3976 male 2 98.6
3977 female 6 118.3
3978 female 42 155.9
3979 female 73 151.0
3980 female 0 NA
3981 female 18 165.0
3982 female 70 164.6
3983 female 0 NA
3984 female 6 113.6
3985 male 9 126.2
3986 female 43 160.5
3987 male 41 174.2
3988 female 14 160.4
3989 male 80 169.1
3990 female 10 143.9
3991 male 56 183.5
3992 female 76 163.9
3993 male 32 174.5
3994 female 16 156.1
3995 male 14 168.7
3996 male 25 171.7
3997 male 22 169.6
3998 female 61 158.6
3999 male 35 167.8
4000 female 1 NA
4001 male 29 177.9
4002 female 28 158.8
4003 female 19 158.7
4004 female 63 153.9
4005 female 28 146.2
4006 female 34 163.0
4007 female 80 160.4
4008 female 32 172.9
4009 female 30 161.8
4010 female 69 159.6
4011 female 24 153.0
4012 male 57 166.5
4013 female 7 142.5
4014 female 67 149.4
4015 male 65 171.5
4016 male 80 165.4
4017 male 0 NA
4018 female 24 165.0
4019 male 80 NA
4020 female 27 167.6
4021 male 0 NA
4022 male 29 181.7
4023 male 74 174.8
4024 male 32 182.0
4025 female 54 169.1
4026 female 40 151.1
4027 female 62 152.1
4028 female 61 155.1
4029 male 71 178.6
4030 female 30 166.3
4031 male 64 167.8
4032 female 44 141.9
4033 male 4 105.2
4034 male 62 163.2
4035 male 40 180.5
4036 female 41 177.2
4037 male 14 174.8
4038 male 78 167.3
4039 male 5 112.8
4040 female 52 159.2
4041 male 61 165.9
4042 male 9 130.5
4043 female 80 164.8
4044 female 29 165.6
4045 female 58 163.4
4046 male 14 179.2
4047 female 16 159.9
4048 male 18 164.4
4049 male 6 117.7
4050 female 16 152.4
4051 male 0 NA
4052 male 47 172.8
4053 female 75 143.3
4054 female 70 153.5
4055 female 4 112.0
4056 female 80 157.3
4057 female 7 116.4
4058 male 16 165.5
4059 male 16 168.2
4060 female 17 161.5
4061 male 67 175.5
4062 male 36 185.4
4063 male 31 172.6
4064 female 80 157.8
4065 male 57 169.1
4066 female 27 152.9
4067 male 3 100.7
4068 male 13 155.1
4069 female 4 103.7
4070 female 59 170.2
4071 male 49 175.5
4072 female 69 166.3
4073 female 0 NA
4074 male 22 179.6
4075 male 80 180.5
4076 male 0 NA
4077 female 9 136.5
4078 female 18 162.4
4079 female 37 153.7
4080 female 61 155.5
4081 male 15 173.5
4082 female 4 102.5
4083 male 6 130.9
4084 female 34 155.7
4085 female 66 155.9
4086 female 24 150.9
4087 male 31 183.3
4088 male 72 177.9
4089 female 42 168.3
4090 male 43 176.1
4091 female 35 163.6
4092 female 38 155.6
4093 female 6 112.5
4094 female 15 155.2
4095 male 1 NA
4096 male 65 158.8
4097 female 55 152.4
4098 male 8 141.5
4099 male 61 177.6
4100 male 12 150.5
4101 female 40 160.9
4102 female 49 164.8
4103 male 53 174.0
4104 female 30 159.4
4105 male 67 170.8
4106 male 9 134.3
4107 female 26 163.9
4108 male 43 185.8
4109 female 0 NA
4110 female 34 164.6
4111 male 21 175.1
4112 female 80 NA
4113 female 0 NA
4114 male 80 175.5
4115 male 19 178.5
4116 female 80 157.6
4117 female 3 93.2
4118 female 29 160.3
4119 male 19 176.9
4120 female 14 153.8
4121 female 2 85.8
4122 male 4 108.9
4123 female 61 167.3
4124 male 6 121.8
4125 female 23 143.9
4126 male 2 89.2
4127 female 66 175.0
4128 female 2 90.9
4129 male 31 175.5
4130 male 11 150.4
4131 male 5 118.1
4132 male 56 163.5
4133 female 46 164.0
4134 female 54 161.2
4135 female 80 NA
4136 male 59 164.1
4137 female 74 152.2
4138 male 33 179.0
4139 male 7 129.1
4140 female 11 147.4
4141 female 3 102.4
4142 male 41 162.5
4143 male 7 123.8
4144 female 45 155.7
4145 female 80 147.6
4146 female 36 152.4
4147 male 29 178.5
4148 female 3 109.8
4149 male 54 182.2
4150 male 33 171.3
4151 male 48 170.4
4152 female 35 157.3
4153 male 37 175.0
4154 male 3 98.0
4155 male 1 NA
4156 female 76 149.1
4157 male 61 173.5
4158 male 1 NA
4159 male 77 159.9
4160 male 74 179.3
4161 female 19 171.7
4162 female 4 91.7
4163 female 25 167.0
4164 female 52 159.1
4165 female 4 105.0
4166 male 5 113.6
4167 female 8 142.7
4168 male 7 125.4
4169 female 30 168.0
4170 female 41 165.7
4171 male 73 173.7
4172 male 14 171.7
4173 male 4 112.9
4174 male 31 170.3
4175 female 76 152.5
4176 female 9 141.0
4177 female 14 157.9
4178 male 68 167.5
4179 female 40 157.3
4180 male 15 175.4
4181 female 80 140.8
4182 male 62 167.3
4183 female 42 163.3
4184 female 0 NA
4185 female 78 155.8
4186 male 40 169.4
4187 male 60 172.6
4188 female 2 85.6
4189 female 56 149.7
4190 male 65 NA
4191 female 80 165.5
4192 female 45 157.1
4193 female 24 172.6
4194 male 16 181.3
4195 male 29 186.1
4196 female 37 161.6
4197 male 15 160.9
4198 male 14 166.0
4199 female 6 123.1
4200 male 62 175.9
4201 male 55 154.4
4202 male 7 129.9
4203 male 1 NA
4204 female 46 154.4
4205 female 6 127.2
4206 male 69 181.6
4207 male 0 NA
4208 female 4 117.2
4209 female 43 161.0
4210 female 70 149.5
4211 female 17 166.4
4212 female 14 160.9
4213 male 55 177.2
4214 female 5 117.6
4215 female 55 173.6
4216 female 28 152.7
4217 female 18 162.9
4218 female 0 NA
4219 male 62 173.9
4220 female 71 144.2
4221 male 48 161.2
4222 female 69 149.0
4223 male 13 169.6
4224 female 15 163.6
4225 male 47 181.4
4226 male 0 NA
4227 male 49 165.7
4228 male 1 NA
4229 female 2 84.4
4230 female 6 107.8
4231 female 15 162.8
4232 female 11 142.8
4233 female 11 166.4
4234 female 32 168.2
4235 male 10 142.8
4236 male 43 171.0
4237 male 12 163.7
4238 female 2 88.2
4239 male 0 NA
4240 female 0 NA
4241 female 60 144.6
4242 male 28 183.1
4243 male 1 NA
4244 male 69 171.3
4245 male 80 166.8
4246 female 19 166.1
4247 female 1 NA
4248 male 50 163.3
4249 male 35 171.9
4250 male 60 182.9
4251 female 80 165.1
4252 male 1 NA
4253 male 46 188.1
4254 female 39 168.1
4255 male 58 183.3
4256 male 17 190.1
4257 male 74 170.5
4258 female 18 160.8
4259 male 15 184.5
4260 female 37 162.0
4261 female 51 159.1
4262 male 47 170.9
4263 female 33 165.0
4264 female 6 118.3
4265 male 50 182.7
4266 male 17 179.7
4267 female 26 167.2
4268 male 52 178.9
4269 female 14 153.0
4270 male 26 181.5
4271 female 11 148.6
4272 female 61 157.0
4273 female 52 163.7
4274 female 10 151.1
4275 female 61 155.7
4276 female 16 NA
4277 male 1 NA
4278 male 8 142.7
4279 male 3 105.1
4280 female 10 145.1
4281 female 80 146.4
4282 male 0 NA
4283 female 44 166.5
4284 female 0 NA
4285 male 0 NA
4286 male 32 178.4
4287 female 53 173.0
4288 male 35 168.9
4289 male 80 169.3
4290 female 1 NA
4291 female 11 131.2
4292 male 6 120.0
4293 female 7 117.7
4294 male 11 153.8
4295 male 80 185.0
4296 male 47 189.5
4297 male 17 172.1
4298 female 59 149.9
4299 female 2 93.9
4300 female 19 155.3
4301 female 25 163.0
4302 male 71 168.8
4303 male 73 185.9
4304 female 52 165.3
4305 male 16 175.2
4306 male 6 115.4
4307 male 59 176.6
4308 female 8 139.3
4309 male 72 177.0
4310 male 1 NA
4311 female 41 161.0
4312 male 49 167.5
4313 male 15 173.5
4314 male 76 171.6
4315 female 62 163.3
4316 male 50 165.7
4317 male 55 175.3
4318 male 8 135.5
4319 female 52 159.2
4320 male 3 101.8
4321 male 7 126.7
4322 female 18 162.2
4323 female 8 126.8
4324 female 31 161.4
4325 male 5 113.3
4326 male 11 148.2
4327 female 10 143.9
4328 female 38 165.2
4329 female 24 170.8
4330 male 2 91.5
4331 female 61 164.8
4332 male 64 169.1
4333 male 71 166.9
4334 male 10 151.5
4335 male 5 106.9
4336 female 42 NA
4337 female 52 171.0
4338 male 10 142.2
4339 female 23 157.0
4340 male 12 160.3
4341 female 10 138.6
4342 female 28 158.8
4343 male 64 170.1
4344 female 48 163.0
4345 female 68 163.2
4346 male 29 166.6
4347 female 34 155.8
4348 female 79 156.4
4349 female 14 164.4
4350 male 1 NA
4351 female 1 NA
4352 male 35 163.8
4353 female 73 163.2
4354 female 47 157.8
4355 female 13 166.0
4356 male 9 124.0
4357 male 25 175.0
4358 female 63 171.8
4359 male 10 149.5
4360 male 40 185.2
4361 female 3 100.6
4362 female 48 162.9
4363 female 2 91.3
4364 female 29 164.5
4365 female 31 176.0
4366 male 17 172.5
4367 female 55 163.8
4368 female 12 148.6
4369 female 30 157.2
4370 female 0 NA
4371 male 16 174.7
4372 female 64 156.4
4373 female 34 153.6
4374 male 36 169.5
4375 male 62 172.8
4376 female 1 NA
4377 female 41 178.0
4378 female 6 119.3
4379 male 54 163.8
4380 male 80 169.1
4381 female 13 156.4
4382 male 71 168.4
4383 female 9 128.8
4384 female 31 151.8
4385 male 80 169.7
4386 male 22 179.2
4387 female 7 132.7
4388 male 80 169.0
4389 male 5 119.7
4390 female 16 158.7
4391 female 36 155.0
4392 female 38 166.4
4393 male 18 178.8
4394 female 68 161.9
4395 female 57 163.3
4396 female 53 163.6
4397 male 3 96.9
4398 male 21 174.0
4399 male 33 176.2
4400 male 16 168.8
4401 male 71 163.1
4402 female 1 NA
4403 male 10 135.8
4404 male 37 168.8
4405 male 6 117.4
4406 female 80 NA
4407 female 6 116.2
4408 male 80 178.4
4409 male 69 180.1
4410 male 20 170.5
4411 female 63 167.3
4412 male 70 175.8
4413 female 62 155.7
4414 female 42 165.7
4415 male 19 177.9
4416 male 20 174.7
4417 female 7 122.3
4418 female 17 155.5
4419 female 63 145.6
4420 male 12 166.6
4421 male 40 172.7
4422 female 10 143.1
4423 male 69 158.5
4424 female 54 157.4
4425 male 61 171.2
4426 female 15 170.9
4427 male 5 115.6
4428 male 8 122.9
4429 male 11 162.1
4430 female 65 162.9
4431 female 80 150.0
4432 male 47 176.4
4433 female 80 151.1
4434 female 38 163.6
4435 female 24 162.3
4436 female 12 153.4
4437 male 16 168.3
4438 female 10 140.7
4439 male 54 169.6
4440 male 10 148.3
4441 male 41 177.9
4442 male 22 NA
4443 male 27 184.2
4444 male 14 171.8
4445 female 13 139.1
4446 male 4 106.0
4447 female 19 163.8
4448 male 2 89.9
4449 female 10 140.6
4450 female 18 166.1
4451 female 67 155.3
4452 male 80 161.5
4453 female 70 NA
4454 male 5 110.0
4455 female 25 159.0
4456 female 79 152.8
4457 male 14 174.2
4458 male 12 145.5
4459 female 27 171.2
4460 male 62 185.6
4461 female 63 163.8
4462 female 80 164.2
4463 male 80 182.4
4464 male 9 134.8
4465 male 28 170.0
4466 male 18 165.8
4467 female 25 171.1
4468 female 80 156.8
4469 female 8 121.5
4470 female 69 156.0
4471 male 1 NA
4472 male 71 177.3
4473 male 4 113.6
4474 female 21 157.9
4475 male 36 174.5
4476 female 32 164.3
4477 female 62 157.7
4478 male 3 96.4
4479 female 19 154.6
4480 male 22 171.3
4481 female 22 163.7
4482 female 21 164.1
4483 female 59 154.6
4484 female 25 161.8
4485 male 13 166.1
4486 male 32 169.6
4487 female 24 164.1
4488 female 12 155.5
4489 female 15 173.1
4490 male 6 125.9
4491 male 52 179.2
4492 male 7 120.7
4493 female 63 164.8
4494 female 5 111.0
4495 male 36 171.8
4496 male 80 174.8
4497 male 24 175.7
4498 female 12 160.5
4499 female 27 158.6
4500 female 54 163.0
4501 male 71 170.5
4502 female 66 165.7
4503 male 7 122.6
4504 female 14 158.9
4505 male 0 NA
4506 female 3 96.7
4507 female 14 159.7
4508 male 41 159.7
4509 female 38 162.4
4510 female 2 94.1
4511 female 65 143.5
4512 male 35 181.8
4513 male 22 170.7
4514 male 2 NA
4515 female 12 154.5
4516 female 3 95.6
4517 male 27 166.4
4518 male 60 180.1
4519 female 26 157.9
4520 female 13 151.1
4521 male 21 174.7
4522 female 12 142.2
4523 female 0 NA
4524 male 7 131.4
4525 female 55 164.0
4526 male 24 170.9
4527 female 61 159.2
4528 female 0 NA
4529 female 18 157.0
4530 female 25 165.0
4531 male 48 176.1
4532 female 46 166.0
4533 male 2 NA
4534 female 74 158.5
4535 male 12 150.2
4536 female 56 147.6
4537 female 68 155.2
4538 female 80 160.4
4539 male 1 NA
4540 male 18 171.9
4541 male 16 174.7
4542 female 64 159.1
4543 female 16 163.9
4544 male 62 173.6
4545 female 28 180.6
4546 male 10 143.1
4547 female 12 154.4
4548 female 32 161.1
4549 male 3 NA
4550 male 32 179.4
4551 female 3 94.7
4552 male 8 135.7
4553 female 80 161.1
4554 male 2 95.3
4555 female 1 NA
4556 male 16 163.4
4557 male 40 176.0
4558 male 17 176.3
4559 male 40 167.4
4560 female 49 159.1
4561 male 2 89.4
4562 male 67 167.4
4563 female 30 149.9
4564 male 32 169.8
4565 female 70 161.7
4566 male 60 171.4
4567 female 20 152.4
4568 female 3 92.1
4569 female 3 95.2
4570 female 80 154.7
4571 female 77 149.6
4572 female 59 157.0
4573 female 4 98.2
4574 male 63 164.2
4575 female 68 160.2
4576 female 54 163.0
4577 female 0 NA
4578 female 29 164.7
4579 female 36 156.4
4580 female 10 141.8
4581 male 8 133.2
4582 male 43 155.4
4583 female 63 157.9
4584 male 40 180.8
4585 female 32 163.6
4586 female 1 NA
4587 female 40 159.3
4588 female 63 170.2
4589 male 21 180.4
4590 male 48 168.6
4591 male 80 168.4
4592 female 63 161.0
4593 female 8 136.4
4594 male 16 172.6
4595 male 44 178.4
4596 female 67 156.9
4597 female 17 164.0
4598 female 39 168.3
4599 female 57 154.3
4600 female 3 102.3
4601 female 7 127.3
4602 male 78 178.8
4603 male 65 168.2
4604 male 0 NA
4605 female 28 174.5
4606 female 0 NA
4607 female 56 187.8
4608 male 5 109.0
4609 male 7 121.7
4610 female 11 151.9
4611 female 16 158.2
4612 female 36 156.0
4613 female 3 94.0
4614 female 67 155.0
4615 female 8 129.8
4616 male 17 163.5
4617 female 11 167.2
4618 female 51 162.9
4619 male 72 165.0
4620 female 10 153.8
4621 male 6 117.0
4622 female 21 165.2
4623 female 12 155.9
4624 female 11 157.0
4625 female 68 149.5
4626 female 38 160.8
4627 female 50 157.7
4628 male 18 164.5
4629 female 66 147.8
4630 male 65 167.9
4631 male 80 170.2
4632 male 80 170.3
4633 female 41 159.0
4634 female 64 156.7
4635 female 69 159.4
4636 male 10 143.0
4637 female 55 163.5
4638 male 47 168.9
4639 female 8 125.5
4640 male 19 177.4
4641 female 62 169.2
4642 male 77 170.5
4643 female 59 158.5
4644 male 10 132.1
4645 female 59 170.7
4646 male 60 177.3
4647 female 44 154.5
4648 female 55 150.5
4649 male 18 173.4
4650 male 1 NA
4651 male 8 134.2
4652 male 1 NA
4653 female 59 163.2
4654 female 15 160.1
4655 male 53 177.2
4656 male 0 NA
4657 male 53 164.2
4658 male 48 175.0
4659 male 45 188.6
4660 male 64 167.6
4661 female 43 163.3
4662 male 4 107.7
4663 female 75 164.0
4664 male 13 155.3
4665 female 2 91.3
4666 male 65 168.5
4667 male 6 117.2
4668 male 12 155.7
4669 male 67 173.1
4670 male 12 157.8
4671 male 9 142.3
4672 female 10 144.2
4673 female 75 159.6
4674 female 43 154.0
4675 male 8 138.4
4676 female 80 152.2
4677 male 75 172.5
4678 male 72 156.9
4679 female 73 155.8
4680 male 2 90.5
4681 male 57 171.0
4682 male 17 184.0
4683 male 54 187.3
4684 male 55 177.0
4685 male 0 NA
4686 female 7 126.5
4687 male 2 91.2
4688 female 31 168.5
4689 female 66 155.2
4690 female 4 108.2
4691 male 7 125.4
4692 male 53 189.1
4693 female 80 155.6
4694 male 63 162.3
4695 female 11 158.7
4696 female 1 NA
4697 female 55 151.1
4698 male 8 118.9
4699 male 61 164.9
4700 male 13 163.7
4701 male 23 175.3
4702 male 10 139.3
4703 male 65 170.9
4704 female 37 154.7
4705 female 80 153.9
4706 male 64 162.7
4707 male 71 177.1
4708 female 64 170.8
4709 male 2 97.9
4710 female 30 159.0
4711 female 17 171.6
4712 male 35 171.4
4713 male 80 172.8
4714 male 56 167.6
4715 male 25 178.4
4716 female 56 159.0
4717 female 54 159.7
4718 male 18 178.9
4719 female 9 140.1
4720 male 18 173.8
4721 female 27 159.2
4722 female 68 164.0
4723 female 8 133.9
4724 female 74 157.0
4725 female 17 158.6
4726 female 69 160.2
4727 male 9 137.9
4728 male 61 179.0
4729 female 2 93.8
4730 female 63 168.4
4731 male 43 170.9
4732 male 24 171.4
4733 male 53 178.1
4734 female 6 121.7
4735 female 59 170.6
4736 female 40 161.3
4737 female 11 159.9
4738 female 41 159.3
4739 male 64 165.2
4740 female 35 152.9
4741 male 15 172.6
4742 female 55 160.5
4743 female 57 166.3
4744 male 3 101.9
4745 male 22 155.3
4746 male 68 161.3
4747 male 38 187.2
4748 female 4 108.4
4749 male 41 177.7
4750 female 30 149.2
4751 male 8 133.0
4752 male 4 103.1
4753 male 66 168.8
4754 female 36 166.7
4755 male 32 180.2
4756 male 4 100.2
4757 female 4 102.1
4758 female 8 132.3
4759 male 10 139.4
4760 male 31 182.5
4761 female 64 160.8
4762 female 80 143.8
4763 male 61 164.6
4764 female 64 155.5
4765 female 60 172.5
4766 female 60 171.1
4767 male 21 175.2
4768 male 50 172.4
4769 male 37 180.8
4770 female 1 NA
4771 male 42 160.4
4772 male 68 178.7
4773 male 15 177.3
4774 male 0 NA
4775 female 68 156.3
4776 male 80 164.3
4777 male 41 169.4
4778 female 5 111.0
4779 male 80 162.5
4780 female 0 NA
4781 female 4 104.6
4782 male 28 178.6
4783 female 51 163.4
4784 male 4 105.3
4785 female 4 102.4
4786 female 63 158.7
4787 female 76 162.5
4788 male 41 180.1
4789 female 46 167.1
4790 male 0 NA
4791 male 59 177.5
4792 male 14 168.6
4793 female 6 119.9
4794 male 26 169.3
4795 female 45 189.3
4796 male 7 121.4
4797 male 42 168.5
4798 female 0 NA
4799 male 45 181.3
4800 female 55 162.1
4801 female 43 158.9
4802 female 40 169.1
4803 female 25 169.8
4804 male 0 NA
4805 male 17 172.5
4806 female 9 135.8
4807 female 20 167.7
4808 female 53 152.1
4809 male 44 175.9
4810 male 54 184.9
4811 male 9 124.1
4812 female 46 152.8
4813 male 14 183.0
4814 female 16 149.0
4815 female 21 162.5
4816 female 55 150.1
4817 female 10 134.7
4818 female 32 170.2
4819 female 7 121.4
4820 male 14 175.4
4821 male 15 162.9
4822 male 45 168.4
4823 female 39 154.6
4824 male 2 86.2
4825 female 72 155.8
4826 female 29 162.5
4827 male 4 113.1
4828 female 1 NA
4829 female 55 154.6
4830 male 1 NA
4831 female 31 160.9
4832 male 67 158.8
4833 male 69 174.8
4834 female 75 151.3
4835 female 12 152.8
4836 female 21 163.3
4837 female 58 155.7
4838 male 63 172.8
4839 female 35 167.4
4840 male 39 173.5
4841 female 51 145.4
4842 male 24 173.6
4843 female 7 128.5
4844 female 3 92.3
4845 female 80 169.8
4846 female 29 162.9
4847 male 18 181.3
4848 male 66 175.9
4849 male 0 NA
4850 female 48 171.9
4851 female 75 147.3
4852 female 55 166.6
4853 male 14 168.1
4854 male 80 NA
4855 female 70 149.9
4856 female 32 152.0
4857 female 50 159.3
4858 female 0 NA
4859 male 79 171.2
4860 male 56 163.3
4861 male 76 174.6
4862 female 50 161.0
4863 female 47 169.2
4864 male 52 177.5
4865 female 78 146.6
4866 male 8 128.8
4867 male 10 136.7
4868 female 23 160.4
4869 male 73 166.9
4870 male 22 167.9
4871 female 5 123.0
4872 female 8 128.5
4873 male 58 165.9
4874 female 65 164.0
4875 male 8 120.0
4876 female 1 NA
4877 female 6 120.4
4878 male 7 NA
4879 male 62 166.7
4880 male 36 179.5
4881 male 19 176.5
4882 male 60 174.1
4883 male 20 169.9
4884 male 75 178.7
4885 female 24 166.4
4886 male 8 134.8
4887 female 44 157.3
4888 female 1 NA
4889 female 3 99.0
4890 female 9 130.0
4891 male 22 171.3
4892 male 39 164.1
4893 female 42 156.9
4894 female 3 106.0
4895 male 48 169.6
4896 male 4 107.2
4897 male 1 NA
4898 female 18 158.6
4899 male 76 176.7
4900 male 15 169.4
4901 male 9 140.3
4902 female 0 NA
4903 female 7 132.0
4904 male 16 166.0
4905 female 53 148.1
4906 male 55 177.5
4907 male 69 154.8
4908 male 35 183.5
4909 male 38 176.0
4910 male 16 166.4
4911 male 0 NA
4912 male 80 172.2
4913 female 66 157.9
4914 male 36 175.7
4915 male 65 172.3
4916 female 56 165.2
4917 female 73 158.8
4918 female 51 157.8
4919 male 63 172.6
4920 male 33 171.9
4921 male 56 177.2
4922 male 8 140.4
4923 male 68 174.4
4924 male 22 179.4
4925 female 9 142.5
4926 male 37 156.9
4927 female 17 163.9
4928 female 63 166.1
4929 female 6 109.4
4930 male 67 176.4
4931 female 56 161.0
4932 male 24 166.7
4933 female 14 162.8
4934 male 23 187.0
4935 female 26 164.0
4936 male 80 181.7
4937 female 48 159.8
4938 male 60 177.8
4939 female 21 167.5
4940 female 48 152.6
4941 female 18 152.6
4942 male 64 153.1
4943 male 62 166.2
4944 female 9 129.8
4945 female 68 156.7
4946 male 45 158.4
4947 female 46 163.7
4948 female 80 145.5
4949 male 25 171.7
4950 male 27 177.7
4951 female 1 NA
4952 female 19 NA
4953 female 64 148.7
4954 female 59 146.0
4955 male 11 153.3
4956 male 8 137.1
4957 male 27 178.6
4958 male 43 189.7
4959 female 65 149.4
4960 male 48 164.3
4961 male 33 181.9
4962 male 3 102.8
4963 female 11 138.7
4964 female 52 161.4
4965 male 24 165.8
4966 female 19 158.3
4967 female 1 NA
4968 male 21 169.2
4969 male 0 NA
4970 male 74 163.1
4971 female 23 149.0
4972 male 75 164.6
4973 male 35 180.5
4974 female 77 154.1
4975 female 17 160.9
4976 female 11 155.3
4977 male 80 180.7
4978 female 67 151.3
4979 female 68 159.8
4980 female 13 157.8
4981 male 33 182.0
4982 male 1 NA
4983 female 28 155.6
4984 female 67 166.3
4985 female 1 NA
4986 male 9 118.1
4987 male 16 176.8
4988 female 57 156.0
4989 female 67 152.2
4990 male 12 152.5
4991 male 9 133.4
4992 male 54 162.8
4993 male 31 174.2
4994 female 25 158.4
4995 male 57 NA
4996 male 8 126.0
4997 female 31 165.1
4998 female 14 156.6
4999 female 59 157.5
5000 female 76 154.2
5001 male 64 NA
5002 male 56 173.0
5003 female 1 NA
5004 male 30 185.0
5005 female 55 172.2
5006 female 69 158.0
5007 male 73 171.8
5008 female 51 159.2
5009 female 1 NA
5010 male 5 112.2
5011 male 37 166.1
5012 male 73 168.1
5013 female 17 170.9
5014 male 15 161.5
5015 female 26 168.1
5016 female 13 149.7
5017 male 26 164.8
5018 male 9 127.8
5019 female 38 165.5
5020 male 0 NA
5021 male 77 175.0
5022 female 51 147.9
5023 female 19 159.2
5024 male 68 173.4
5025 male 18 170.1
5026 male 36 175.1
5027 female 2 95.4
5028 female 68 161.0
5029 female 41 168.4
5030 male 2 86.9
5031 male 4 101.5
5032 male 16 NA
5033 male 32 180.0
5034 female 38 166.7
5035 female 45 159.5
5036 female 75 161.0
5037 female 9 143.6
5038 female 42 155.2
5039 male 46 179.1
5040 female 7 120.7
5041 female 11 141.2
5042 male 56 163.8
5043 female 6 122.5
5044 male 44 168.8
5045 female 14 155.4
5046 female 27 165.0
5047 female 17 172.3
5048 male 6 133.9
5049 female 19 NA
5050 male 63 174.3
5051 male 18 177.3
5052 female 71 160.9
5053 female 1 NA
5054 female 16 157.8
5055 female 80 144.9
5056 male 14 156.7
5057 male 6 118.7
5058 female 17 157.7
5059 female 9 127.0
5060 female 0 NA
5061 female 11 148.2
5062 female 80 146.1
5063 male 61 172.3
5064 female 64 156.2
5065 female 7 129.6
5066 male 55 184.7
5067 male 2 92.2
5068 female 29 144.8
5069 male 41 187.8
5070 female 60 162.2
5071 male 19 173.7
5072 male 39 174.0
5073 male 76 177.4
5074 female 80 153.5
5075 male 70 175.0
5076 female 12 154.0
5077 male 5 116.6
5078 female 6 111.9
5079 male 67 160.8
5080 male 2 92.1
5081 male 10 133.3
5082 male 3 97.9
5083 female 2 98.2
5084 female 7 123.6
5085 male 59 165.6
5086 male 78 175.5
5087 female 80 166.6
5088 male 8 144.7
5089 male 7 135.0
5090 male 66 149.8
5091 female 7 116.2
5092 female 25 158.2
5093 male 15 172.8
5094 female 2 86.6
5095 male 8 123.9
5096 female 47 152.9
5097 female 15 167.9
5098 female 39 169.1
5099 female 45 156.3
5100 male 75 172.6
5101 female 80 147.2
5102 male 50 166.0
5103 male 39 174.8
5104 female 63 166.9
5105 female 39 164.6
5106 male 6 116.7
5107 female 16 158.6
5108 male 51 180.8
5109 female 5 115.0
5110 female 20 146.6
5111 female 48 166.3
5112 female 5 117.1
5113 male 41 167.8
5114 female 2 NA
5115 female 53 160.8
5116 female 72 155.9
5117 female 0 NA
5118 female 4 103.7
5119 male 17 179.1
5120 female 20 158.1
5121 male 29 157.0
5122 male 12 150.6
5123 female 20 148.6
5124 male 12 149.9
5125 female 67 151.6
5126 male 36 179.6
5127 male 59 176.3
5128 female 56 165.2
5129 female 0 NA
5130 male 74 166.1
5131 male 71 165.8
5132 female 15 165.3
5133 male 40 173.6
5134 male 2 90.4
5135 male 31 175.6
5136 female 12 155.4
5137 female 62 164.9
5138 female 9 131.6
5139 female 7 123.1
5140 female 2 90.3
5141 female 78 NA
5142 male 4 108.5
5143 male 2 89.4
5144 male 1 NA
5145 female 78 155.9
5146 female 3 NA
5147 female 22 162.2
5148 female 72 162.2
5149 female 53 165.3
5150 male 24 175.1
5151 male 28 182.1
5152 male 61 157.1
5153 female 62 154.9
5154 female 3 97.7
5155 female 57 154.2
5156 female 43 165.9
5157 female 0 NA
5158 male 0 NA
5159 female 2 78.5
5160 female 9 150.8
5161 female 14 165.3
5162 female 10 139.6
5163 female 50 160.4
5164 female 40 152.7
5165 male 60 181.7
5166 female 5 123.0
5167 male 37 172.3
5168 male 68 163.5
5169 male 18 169.4
5170 female 65 160.5
5171 male 69 178.3
5172 female 63 147.4
5173 female 0 NA
5174 male 68 162.0
5175 female 80 158.0
5176 male 29 176.3
5177 female 34 167.7
5178 male 68 181.6
5179 male 17 179.8
5180 male 0 NA
5181 male 26 169.7
5182 male 42 167.3
5183 male 80 176.3
5184 male 16 186.7
5185 female 53 154.5
5186 female 80 155.8
5187 female 44 150.5
5188 female 30 154.5
5189 male 43 179.5
5190 female 1 NA
5191 female 28 154.7
5192 female 22 162.5
5193 male 14 173.7
5194 female 49 159.8
5195 female 18 162.3
5196 female 9 132.5
5197 female 65 145.6
5198 female 9 147.1
5199 male 0 NA
5200 female 24 150.2
5201 male 41 175.5
5202 female 80 160.0
5203 male 71 164.9
5204 male 17 172.4
5205 male 33 174.9
5206 female 8 134.3
5207 male 0 NA
5208 male 14 165.9
5209 female 2 90.8
5210 male 17 175.2
5211 male 9 125.8
5212 male 10 146.9
5213 female 78 162.5
5214 male 19 174.8
5215 female 66 154.0
5216 female 14 159.4
5217 female 46 161.8
5218 female 11 164.4
5219 female 47 157.8
5220 male 52 160.7
5221 female 10 152.5
5222 female 19 NA
5223 female 61 164.5
5224 female 37 160.4
5225 male 30 176.3
5226 female 20 154.6
5227 male 33 173.5
5228 female 2 81.6
5229 male 6 122.8
5230 female 44 150.3
5231 female 12 159.3
5232 female 78 153.9
5233 female 54 166.7
5234 male 71 171.8
5235 female 46 160.4
5236 male 80 160.1
5237 male 9 145.4
5238 female 39 155.0
5239 male 23 174.8
5240 male 66 167.4
5241 female 18 152.7
5242 female 9 131.6
5243 male 45 175.0
5244 male 2 90.5
5245 female 7 129.9
5246 male 7 122.5
5247 female 56 156.7
5248 male 69 171.7
5249 female 49 155.0
5250 male 49 189.1
5251 female 80 153.2
5252 female 48 159.2
5253 male 8 144.2
5254 male 63 176.4
5255 female 50 156.0
5256 female 67 147.8
5257 male 10 140.9
5258 male 1 NA
5259 male 0 NA
5260 male 79 155.9
5261 female 62 162.3
5262 female 56 152.9
5263 female 5 107.3
5264 female 53 162.9
5265 female 18 162.4
5266 male 6 121.9
5267 male 58 167.9
5268 male 35 169.2
5269 female 34 150.7
5270 male 31 182.0
5271 male 2 94.4
5272 female 42 162.9
5273 male 68 172.1
5274 male 37 171.3
5275 female 61 158.3
5276 female 14 163.7
5277 male 57 160.1
5278 female 64 152.7
5279 male 61 173.7
5280 male 42 163.6
5281 male 29 164.9
5282 male 75 168.4
5283 male 9 119.9
5284 female 12 146.9
5285 female 77 160.1
5286 male 32 168.0
5287 female 59 162.8
5288 female 62 155.4
5289 female 44 159.3
5290 male 1 NA
5291 male 14 167.2
5292 female 68 164.1
5293 male 29 173.5
5294 male 50 171.6
5295 male 17 173.9
5296 female 3 92.5
5297 male 26 186.0
5298 female 80 161.1
5299 female 74 143.9
5300 male 80 172.7
5301 male 70 174.2
5302 female 64 160.1
5303 male 2 88.7
5304 male 22 177.5
5305 male 47 171.5
5306 female 28 173.6
5307 male 10 146.8
5308 female 30 160.1
5309 male 45 174.4
5310 female 35 155.1
5311 female 10 148.9
5312 female 5 109.0
5313 male 16 174.3
5314 male 0 NA
5315 male 59 176.8
5316 male 6 125.7
5317 male 60 159.8
5318 male 35 178.8
5319 female 2 83.6
5320 female 63 153.7
5321 female 73 148.1
5322 male 3 90.3
5323 male 46 174.4
5324 male 0 NA
5325 female 37 162.6
5326 female 21 159.4
5327 female 52 161.5
5328 female 63 160.9
5329 male 6 114.1
5330 female 80 155.9
5331 male 45 180.6
5332 male 52 167.2
5333 male 26 171.4
5334 female 14 151.7
5335 female 80 161.5
5336 male 37 194.6
5337 male 80 171.0
5338 female 7 122.9
5339 female 30 168.5
5340 female 19 157.4
5341 male 10 151.9
5342 male 3 93.4
5343 male 0 NA
5344 male 43 171.0
5345 female 37 155.5
5346 male 8 128.0
5347 male 34 185.4
5348 female 2 85.5
5349 male 4 106.8
5350 male 52 161.7
5351 female 8 146.4
5352 female 47 153.2
5353 male 9 136.7
5354 male 2 86.9
5355 male 13 161.8
5356 female 48 159.4
5357 male 8 149.0
5358 female 67 174.9
5359 male 15 168.4
5360 female 60 170.8
5361 male 2 94.7
5362 male 53 172.5
5363 female 80 147.6
5364 female 36 158.2
5365 female 4 99.4
5366 female 80 NA
5367 female 80 NA
5368 male 7 119.5
5369 female 75 152.4
5370 female 68 164.9
5371 male 10 139.4
5372 female 80 162.3
5373 female 55 169.1
5374 female 59 159.7
5375 female 41 166.7
5376 male 72 161.4
5377 female 48 163.3
5378 male 70 169.9
5379 male 20 173.0
5380 female 8 123.0
5381 female 22 159.7
5382 male 7 127.9
5383 female 26 152.0
5384 female 22 176.9
5385 male 60 177.9
5386 female 11 153.4
5387 female 34 168.3
5388 male 54 163.7
5389 female 1 NA
5390 female 49 155.1
5391 female 2 91.4
5392 female 11 149.9
5393 female 52 161.6
5394 male 70 157.8
5395 male 15 169.3
5396 female 4 109.5
5397 female 73 157.6
5398 male 45 169.8
5399 male 18 174.8
5400 female 61 156.5
5401 male 46 168.3
5402 female 51 155.0
5403 male 61 182.0
5404 male 57 175.5
5405 female 1 NA
5406 male 54 167.3
5407 female 57 165.6
5408 female 45 162.8
5409 female 19 159.4
5410 female 62 150.0
5411 male 36 175.9
5412 female 48 170.2
5413 male 9 149.9
5414 female 2 82.6
5415 male 34 170.4
5416 male 20 181.0
5417 female 22 173.5
5418 female 80 151.0
5419 female 41 153.8
5420 female 34 158.4
5421 female 55 155.3
5422 female 65 157.4
5423 female 35 159.1
5424 male 57 176.1
5425 male 52 166.6
5426 male 15 177.8
5427 female 29 167.4
5428 male 12 149.7
5429 male 49 173.8
5430 male 41 179.4
5431 male 17 181.4
5432 female 17 156.5
5433 female 63 162.2
5434 female 29 159.7
5435 male 57 183.0
5436 female 14 158.3
5437 male 26 172.5
5438 male 40 158.9
5439 female 20 162.1
5440 male 30 163.9
5441 male 61 172.9
5442 male 12 146.0
5443 female 23 159.1
5444 male 48 169.0
5445 female 70 149.3
5446 female 29 146.4
5447 male 11 157.1
5448 female 11 151.8
5449 male 59 173.9
5450 female 56 163.1
5451 male 19 177.8
5452 male 11 148.5
5453 male 41 179.4
5454 female 63 178.8
5455 male 60 191.7
5456 female 8 131.7
5457 male 63 182.5
5458 female 1 NA
5459 female 58 146.2
5460 female 13 155.3
5461 female 32 155.0
5462 male 0 NA
5463 male 74 180.8
5464 female 51 161.8
5465 male 62 166.0
5466 male 10 135.1
5467 male 57 168.4
5468 male 51 163.7
5469 male 18 179.8
5470 male 80 164.0
5471 male 9 142.0
5472 female 46 157.2
5473 female 43 155.8
5474 female 43 151.1
5475 female 56 170.9
5476 male 32 168.5
5477 male 70 174.2
5478 male 61 168.2
5479 female 78 154.9
5480 male 18 173.9
5481 female 61 162.3
5482 female 45 170.4
5483 male 69 152.8
5484 female 78 169.9
5485 male 0 NA
5486 female 73 149.4
5487 female 35 159.3
5488 female 55 152.8
5489 female 65 171.8
5490 female 36 161.6
5491 male 73 NA
5492 male 1 NA
5493 male 10 140.6
5494 female 39 161.6
5495 male 80 176.9
5496 female 65 164.9
5497 female 9 152.2
5498 female 77 160.2
5499 male 68 167.1
5500 female 4 106.0
5501 male 80 170.9
5502 female 26 171.8
5503 female 29 153.2
5504 male 5 107.4
5505 female 3 101.8
5506 male 0 NA
5507 male 3 105.3
5508 female 55 162.1
5509 female 63 159.8
5510 female 73 156.7
5511 female 67 155.6
5512 male 72 169.7
5513 female 36 172.2
5514 male 66 181.2
5515 male 22 191.0
5516 male 57 162.1
5517 male 43 179.8
5518 male 12 151.4
5519 male 69 173.4
5520 male 12 168.2
5521 male 29 163.9
5522 male 2 83.2
5523 male 19 172.8
5524 male 66 173.6
5525 female 14 156.5
5526 male 5 122.7
5527 male 9 124.0
5528 female 18 171.2
5529 male 10 137.4
5530 male 72 170.5
5531 female 10 146.2
5532 female 62 157.5
5533 female 5 114.8
5534 female 14 147.1
5535 female 7 122.4
5536 female 9 130.9
5537 male 6 115.0
5538 male 52 178.2
5539 female 76 158.8
5540 male 80 172.7
5541 female 0 NA
5542 male 16 166.9
5543 female 52 155.8
5544 female 8 123.3
5545 male 10 145.8
5546 female 11 146.0
5547 male 25 174.6
5548 male 63 185.7
5549 female 74 155.1
5550 male 7 118.5
5551 female 27 166.1
5552 male 10 141.2
5553 male 17 180.0
5554 male 66 167.3
5555 female 8 137.8
5556 male 9 144.7
5557 female 23 158.7
5558 male 21 168.9
5559 male 35 181.9
5560 female 9 134.0
5561 male 17 176.1
5562 female 12 161.2
5563 male 56 184.3
5564 female 54 164.2
5565 female 13 160.8
5566 female 4 106.7
5567 male 34 178.4
5568 female 8 130.6
5569 male 48 167.0
5570 male 80 167.4
5571 male 10 141.0
5572 female 48 180.4
5573 female 55 153.0
5574 female 10 144.7
5575 female 64 155.5
5576 male 70 170.6
5577 male 80 161.6
5578 male 46 179.1
5579 female 70 152.2
5580 female 8 138.3
5581 female 10 144.8
5582 male 46 182.9
5583 male 65 166.0
5584 female 13 151.0
5585 male 3 NA
5586 male 38 179.4
5587 male 17 155.3
5588 female 63 160.6
5589 female 39 168.0
5590 male 15 179.5
5591 male 46 177.3
5592 male 50 159.9
5593 male 63 162.7
5594 female 61 165.3
5595 male 1 NA
5596 male 45 184.5
5597 male 68 176.5
5598 female 2 90.3
5599 male 5 117.2
5600 female 52 162.2
5601 female 14 165.8
5602 male 73 180.2
5603 male 40 168.1
5604 male 18 189.4
5605 male 60 181.2
5606 female 1 NA
5607 female 65 152.5
5608 female 53 157.1
5609 male 30 178.5
5610 male 1 NA
5611 female 16 167.5
5612 male 6 119.7
5613 male 23 187.2
5614 female 80 151.4
5615 female 80 151.4
5616 male 76 165.0
5617 female 6 121.6
5618 female 7 121.6
5619 female 4 99.1
5620 male 8 130.1
5621 male 1 NA
5622 male 53 160.6
5623 male 5 109.5
5624 male 38 172.2
5625 female 5 106.7
5626 female 5 115.7
5627 female 66 151.5
5628 female 41 158.0
5629 male 75 NA
5630 female 48 158.3
5631 female 65 164.9
5632 male 15 184.4
5633 female 4 113.0
5634 female 46 152.0
5635 male 4 107.2
5636 male 3 91.9
5637 male 63 179.2
5638 female 11 148.3
5639 male 66 174.2
5640 female 8 150.0
5641 female 32 157.6
5642 female 2 88.0
5643 male 71 167.6
5644 female 53 151.3
5645 female 51 154.1
5646 male 14 175.9
5647 female 38 159.6
5648 male 61 172.9
5649 male 62 174.4
5650 female 13 169.5
5651 male 80 178.3
5652 female 80 147.0
5653 female 64 144.1
5654 male 40 188.6
5655 male 8 127.4
5656 male 7 123.1
5657 male 28 180.9
5658 female 10 150.8
5659 female 44 166.0
5660 male 3 100.0
5661 female 0 NA
5662 male 48 176.3
5663 female 37 161.7
5664 female 14 160.3
5665 female 18 159.1
5666 female 74 163.5
5667 male 15 159.9
5668 male 70 159.3
5669 male 1 NA
5670 male 65 183.7
5671 female 80 155.7
5672 male 3 105.7
5673 female 40 159.1
5674 female 12 149.8
5675 female 63 165.5
5676 male 26 179.8
5677 female 30 163.3
5678 female 58 160.7
5679 male 9 130.0
5680 male 14 173.1
5681 female 35 157.8
5682 female 24 160.5
5683 male 35 162.8
5684 female 60 157.7
5685 female 10 149.5
5686 female 60 162.8
5687 male 53 176.7
5688 female 20 174.0
5689 female 2 90.4
5690 male 10 160.8
5691 male 56 175.5
5692 male 1 NA
5693 female 77 154.8
5694 female 78 167.3
5695 female 15 160.9
5696 male 10 145.7
5697 male 9 145.6
5698 male 4 109.5
5699 female 13 164.3
5700 female 3 89.0
5701 male 8 128.8
5702 male 15 181.0
5703 male 62 175.8
5704 female 14 157.8
5705 male 7 130.3
5706 male 17 179.3
5707 male 64 164.7
5708 male 80 171.0
5709 male 79 173.3
5710 female 80 150.7
5711 female 51 172.3
5712 male 33 164.7
5713 female 2 96.7
5714 female 80 148.0
5715 female 0 NA
5716 female 33 176.6
5717 female 0 NA
5718 female 27 164.0
5719 male 1 NA
5720 female 9 142.6
5721 male 36 167.2
5722 male 0 NA
5723 female 5 122.4
5724 female 18 154.6
5725 female 80 160.3
5726 male 50 166.1
5727 male 67 181.4
5728 female 20 158.8
5729 female 55 170.5
5730 female 54 154.6
5731 female 46 160.0
5732 male 49 167.7
5733 female 2 87.4
5734 female 28 166.4
5735 female 15 153.6
5736 male 16 162.4
5737 female 19 160.4
5738 female 43 161.0
5739 male 16 171.9
5740 female 80 NA
5741 male 71 180.9
5742 male 21 190.1
5743 male 46 175.6
5744 female 41 NA
5745 male 4 110.7
5746 female 53 163.2
5747 male 35 165.0
5748 male 3 NA
5749 female 80 153.7
5750 male 44 181.6
5751 female 0 NA
5752 male 17 178.1
5753 male 0 NA
5754 male 24 178.2
5755 male 8 127.8
5756 male 69 168.1
5757 female 26 164.3
5758 female 21 153.3
5759 male 65 177.2
5760 male 29 176.9
5761 female 16 163.8
5762 male 18 172.0
5763 female 12 155.8
5764 female 13 161.2
5765 male 61 181.6
5766 male 0 NA
5767 female 70 145.1
5768 male 27 168.2
5769 female 39 158.7
5770 female 2 95.0
5771 male 13 160.8
5772 female 48 149.8
5773 male 9 139.1
5774 male 48 173.3
5775 female 71 163.4
5776 female 55 152.8
5777 female 57 165.3
5778 male 11 149.1
5779 male 50 175.7
5780 male 80 154.2
5781 female 28 166.2
5782 male 4 100.4
5783 female 33 165.1
5784 male 67 183.3
5785 male 16 186.4
5786 female 3 101.9
5787 female 16 155.5
5788 male 13 156.4
5789 male 18 175.7
5790 male 58 171.4
5791 male 1 NA
5792 male 70 161.6
5793 male 44 167.2
5794 male 13 170.7
5795 male 5 112.1
5796 female 48 152.4
5797 male 42 178.9
5798 female 74 159.0
5799 male 21 155.4
5800 male 47 177.6
5801 female 1 NA
5802 male 45 176.0
5803 male 6 121.8
5804 male 2 94.4
5805 female 39 170.9
5806 male 3 95.7
5807 male 4 105.1
5808 female 71 150.4
5809 female 21 169.3
5810 male 14 179.5
5811 female 69 163.8
5812 male 34 167.3
5813 male 54 166.9
5814 female 36 153.3
5815 male 58 182.4
5816 male 4 107.7
5817 female 30 164.6
5818 male 1 NA
5819 female 36 168.3
5820 male 61 179.2
5821 male 29 166.9
5822 female 70 153.3
5823 male 24 174.3
5824 male 80 174.7
5825 female 25 161.6
5826 female 31 165.5
5827 male 49 161.4
5828 male 60 161.1
5829 female 15 156.2
5830 male 25 180.9
5831 male 7 128.8
5832 female 27 159.0
5833 male 9 143.7
5834 female 55 165.8
5835 female 13 159.2
5836 male 51 169.4
5837 male 64 174.2
5838 female 30 177.7
5839 female 63 164.1
5840 female 27 170.7
5841 female 8 126.6
5842 female 68 158.1
5843 female 36 161.6
5844 female 19 165.4
5845 female 41 159.0
5846 male 32 159.2
5847 male 73 162.8
5848 male 47 163.4
5849 female 6 113.9
5850 male 33 187.2
5851 male 59 174.7
5852 male 50 173.2
5853 female 36 159.2
5854 male 12 165.9
5855 male 5 106.0
5856 male 45 174.2
5857 female 66 149.5
5858 female 63 159.1
5859 male 42 175.3
5860 female 30 156.4
5861 female 14 156.8
5862 male 12 168.7
5863 male 74 177.0
5864 female 70 157.1
5865 male 16 175.4
5866 male 5 NA
5867 female 10 150.1
5868 female 33 160.4
5869 male 80 176.8
5870 female 36 172.7
5871 female 14 157.6
5872 male 63 182.0
5873 male 6 125.9
5874 female 21 157.0
5875 male 38 173.0
5876 female 54 160.6
5877 male 25 152.1
5878 male 29 168.7
5879 male 39 187.8
5880 female 63 158.5
5881 female 20 155.4
5882 male 31 168.8
5883 male 17 181.3
5884 female 26 165.6
5885 female 42 170.2
5886 male 0 NA
5887 female 54 152.3
5888 female 37 161.6
5889 female 39 160.5
5890 male 8 129.9
5891 female 56 160.2
5892 female 35 158.2
5893 male 11 141.0
5894 male 9 135.6
5895 female 74 153.4
5896 male 0 NA
5897 female 56 163.9
5898 female 80 156.2
5899 female 21 154.6
5900 male 80 179.6
5901 female 38 157.9
5902 male 61 175.8
5903 male 73 176.3
5904 male 71 159.6
5905 female 4 108.0
5906 male 3 101.4
5907 male 48 171.9
5908 female 11 154.0
5909 female 39 164.0
5910 male 0 NA
5911 female 21 167.4
5912 male 5 123.9
5913 female 46 153.5
5914 female 14 157.7
5915 female 19 155.4
5916 male 69 178.4
5917 male 16 157.7
5918 male 17 173.9
5919 female 13 155.6
5920 male 14 172.4
5921 female 26 163.8
5922 male 11 169.8
5923 female 11 146.9
5924 female 77 158.3
5925 male 3 98.4
5926 female 80 150.6
5927 female 8 136.0
5928 female 4 98.4
5929 male 17 175.1
5930 female 33 171.6
5931 female 54 164.9
5932 female 37 165.5
5933 female 31 162.3
5934 male 58 161.4
5935 male 18 174.9
5936 female 21 166.1
5937 male 80 172.1
5938 male 64 163.6
5939 female 61 168.8
5940 female 48 149.5
5941 female 14 170.3
5942 female 51 164.2
5943 female 64 149.2
5944 female 10 149.5
5945 male 25 180.4
5946 female 21 156.0
5947 male 39 176.4
5948 female 9 137.5
5949 female 19 165.0
5950 female 65 159.2
5951 male 0 NA
5952 female 9 127.1
5953 female 63 179.8
5954 female 56 156.5
5955 female 19 153.5
5956 male 80 170.5
5957 female 6 115.3
5958 male 51 170.2
5959 female 43 153.6
5960 female 19 155.9
5961 male 27 171.8
5962 male 36 167.4
5963 male 14 161.8
5964 male 22 178.0
5965 male 22 172.8
5966 male 65 177.0
5967 female 11 142.2
5968 male 13 168.9
5969 female 39 170.1
5970 female 35 167.4
5971 female 22 161.0
5972 female 0 NA
5973 female 2 100.6
5974 female 20 154.8
5975 male 8 118.9
5976 female 27 152.5
5977 female 62 159.4
5978 female 0 NA
5979 female 18 149.3
5980 male 4 107.3
5981 male 54 171.1
5982 male 11 146.8
5983 male 28 171.7
5984 male 24 181.0
5985 male 47 181.6
5986 female 16 158.3
5987 female 67 159.1
5988 male 27 176.4
5989 female 2 85.2
5990 male 51 177.3
5991 male 42 173.2
5992 male 12 159.1
5993 female 13 150.2
5994 male 15 170.6
5995 male 66 178.1
5996 female 8 146.5
5997 female 77 148.8
5998 female 10 131.8
5999 female 47 153.1
6000 male 57 189.5
6001 female 9 140.7
6002 male 8 129.4
6003 female 55 162.1
6004 female 48 147.3
6005 female 6 111.1
6006 female 71 164.8
6007 male 14 156.6
6008 male 9 132.4
6009 male 69 174.2
6010 female 22 154.5
6011 female 20 146.7
6012 female 28 162.2
6013 male 71 169.1
6014 female 33 155.2
6015 male 18 176.9
6016 female 32 159.8
6017 female 80 151.5
6018 male 5 118.0
6019 female 18 166.4
6020 female 80 152.0
6021 female 0 NA
6022 male 64 179.4
6023 male 1 NA
6024 female 30 157.8
6025 male 75 168.4
6026 female 24 154.5
6027 female 24 153.8
6028 male 1 NA
6029 male 22 189.9
6030 male 7 132.5
6031 female 66 154.8
6032 female 27 167.6
6033 female 15 153.2
6034 male 11 124.3
6035 male 61 181.9
6036 male 45 179.1
6037 male 32 185.8
6038 female 14 157.8
6039 male 41 171.3
6040 male 61 176.2
6041 male 1 NA
6042 female 50 156.8
6043 male 10 136.1
6044 male 23 170.0
6045 female 27 173.8
6046 male 1 NA
6047 male 26 176.2
6048 male 26 175.6
6049 female 57 155.7
6050 male 79 169.2
6051 male 79 163.8
6052 female 47 159.6
6053 female 63 154.1
6054 female 29 154.9
6055 male 78 164.0
6056 female 47 162.5
6057 male 1 NA
6058 female 2 91.2
6059 male 65 182.1
6060 male 57 166.0
6061 female 5 102.2
6062 female 6 119.5
6063 male 4 106.5
6064 male 55 169.3
6065 male 47 178.1
6066 male 72 164.4
6067 male 10 146.5
6068 female 11 149.6
6069 female 17 162.4
6070 male 20 187.1
6071 female 14 164.7
6072 male 10 146.0
6073 male 67 NA
6074 female 43 158.3
6075 female 1 NA
6076 male 14 177.5
6077 female 10 153.8
6078 male 17 177.1
6079 male 72 179.6
6080 female 80 152.0
6081 female 33 156.9
6082 female 45 159.5
6083 male 6 121.8
6084 female 6 123.2
6085 female 22 170.6
6086 female 80 158.2
6087 female 51 153.3
6088 male 60 173.3
6089 female 34 157.6
6090 male 17 177.6
6091 male 66 166.8
6092 male 4 105.7
6093 female 5 123.8
6094 male 61 169.7
6095 male 6 125.9
6096 female 26 150.6
6097 female 7 125.6
6098 female 64 144.8
6099 female 69 166.8
6100 male 1 NA
6101 male 56 171.1
6102 male 75 167.6
6103 male 51 166.3
6104 female 2 NA
6105 female 14 166.2
6106 female 28 158.2
6107 female 42 162.1
6108 male 47 180.6
6109 female 17 162.5
6110 male 33 180.2
6111 female 10 142.4
6112 female 40 155.8
6113 male 5 103.9
6114 male 45 187.6
6115 female 37 158.1
6116 male 5 107.0
6117 female 6 115.0
6118 male 7 130.8
6119 male 63 184.8
6120 male 32 178.3
6121 male 8 NA
6122 female 80 153.2
6123 female 32 168.7
6124 female 42 161.8
6125 male 56 164.6
6126 male 5 115.6
6127 male 60 191.5
6128 female 32 159.2
6129 female 32 170.2
6130 male 2 96.6
6131 male 0 NA
6132 female 4 106.7
6133 female 43 162.7
6134 male 43 171.9
6135 female 22 156.4
6136 male 39 184.6
6137 female 36 173.6
6138 male 48 178.6
6139 female 62 158.6
6140 male 7 121.0
6141 male 17 170.5
6142 female 60 163.3
6143 female 41 152.9
6144 male 58 177.6
6145 male 66 181.3
6146 male 57 167.4
6147 female 42 158.0
6148 male 12 141.3
6149 male 4 107.4
6150 male 74 181.1
6151 female 3 94.5
6152 female 30 173.5
6153 female 65 163.4
6154 male 15 170.3
6155 female 14 155.0
6156 female 11 150.9
6157 female 5 103.1
6158 female 74 148.6
6159 male 59 153.9
6160 female 59 144.5
6161 female 69 154.2
6162 male 8 133.0
6163 female 65 165.0
6164 female 30 151.2
6165 male 77 165.6
6166 male 61 190.3
6167 female 9 129.8
6168 male 58 173.5
6169 male 5 126.5
6170 female 11 163.6
6171 female 36 161.4
6172 female 32 155.7
6173 male 70 NA
6174 male 62 174.8
6175 male 9 130.8
6176 female 22 155.6
6177 female 61 159.2
6178 male 28 168.5
6179 female 8 126.7
6180 female 57 172.5
6181 female 45 171.9
6182 male 80 167.0
6183 male 30 177.1
6184 female 28 169.7
6185 male 13 169.5
6186 female 55 162.5
6187 female 25 159.5
6188 female 9 134.8
6189 female 18 154.5
6190 female 80 156.3
6191 female 18 167.5
6192 male 26 166.0
6193 female 55 160.2
6194 female 40 164.6
6195 female 0 NA
6196 female 60 154.4
6197 female 24 163.3
6198 male 36 178.3
6199 female 36 159.8
6200 male 35 185.4
6201 male 71 175.4
6202 female 60 156.8
6203 female 11 141.8
6204 female 18 164.2
6205 female 75 167.3
6206 female 33 161.2
6207 female 59 152.9
6208 male 60 189.2
6209 female 65 149.4
6210 male 15 171.7
6211 female 45 170.1
6212 female 18 157.3
6213 female 43 162.1
6214 male 66 176.5
6215 male 1 NA
6216 female 61 164.3
6217 female 56 155.0
6218 female 29 161.2
6219 female 40 166.9
6220 male 36 175.4
6221 female 11 138.8
6222 male 70 175.0
6223 female 47 168.8
6224 female 27 165.7
6225 female 14 NA
6226 female 53 164.4
6227 male 60 170.3
6228 male 4 115.5
6229 male 48 176.2
6230 male 0 NA
6231 female 8 125.2
6232 female 2 88.3
6233 female 80 161.8
6234 female 9 137.4
6235 male 55 166.5
6236 female 9 141.7
6237 female 35 169.5
6238 male 9 134.5
6239 male 62 177.9
6240 male 13 163.4
6241 female 3 97.4
6242 male 41 175.5
6243 female 47 165.3
6244 male 3 104.9
6245 male 62 171.1
6246 male 3 NA
6247 female 8 135.9
6248 female 46 154.1
6249 female 35 161.8
6250 female 21 153.7
6251 male 16 177.4
6252 male 0 NA
6253 female 27 158.3
6254 male 3 100.0
6255 male 3 102.4
6256 male 43 169.5
6257 male 29 161.7
6258 male 25 173.3
6259 male 1 NA
6260 male 18 179.7
6261 male 0 NA
6262 male 45 176.8
6263 male 9 146.0
6264 female 5 107.9
6265 male 11 151.5
6266 male 17 172.6
6267 male 7 132.8
6268 female 8 120.2
6269 female 8 133.8
6270 female 79 148.4
6271 male 57 175.0
6272 female 49 156.1
6273 male 5 109.2
6274 male 11 165.6
6275 male 0 NA
6276 male 59 170.6
6277 female 80 NA
6278 male 12 140.5
6279 female 39 173.7
6280 female 63 152.5
6281 female 62 165.6
6282 female 12 152.1
6283 male 57 176.4
6284 female 70 157.5
6285 male 63 176.6
6286 female 13 156.6
6287 female 22 156.9
6288 male 77 164.6
6289 male 15 176.3
6290 male 12 147.8
6291 female 55 147.2
6292 female 7 119.1
6293 male 4 108.3
6294 female 1 NA
6295 male 74 166.8
6296 female 6 123.2
6297 male 10 140.1
6298 male 49 178.0
6299 male 47 160.9
6300 female 44 148.1
6301 male 14 176.7
6302 male 45 173.4
6303 female 2 99.2
6304 male 45 170.9
6305 male 0 NA
6306 female 3 NA
6307 female 37 159.1
6308 female 56 150.5
6309 female 55 159.2
6310 female 67 165.9
6311 female 12 160.6
6312 female 0 NA
6313 male 52 173.8
6314 female 77 154.9
6315 female 65 153.8
6316 male 2 91.9
6317 female 11 146.9
6318 female 74 156.4
6319 male 8 129.8
6320 female 5 105.9
6321 female 51 155.0
6322 female 9 139.6
6323 female 66 153.5
6324 male 17 184.9
6325 male 55 174.4
6326 female 6 125.9
6327 female 17 157.9
6328 female 58 165.5
6329 male 68 179.9
6330 female 65 159.5
6331 male 15 171.7
6332 male 80 166.0
6333 female 49 159.4
6334 female 2 87.6
6335 female 1 NA
6336 male 31 179.1
6337 male 40 172.7
6338 male 34 180.5
6339 female 50 159.4
6340 male 66 181.5
6341 male 9 137.9
6342 female 73 160.9
6343 male 79 173.9
6344 male 1 NA
6345 female 38 150.8
6346 female 29 149.8
6347 male 33 173.5
6348 male 13 156.4
6349 female 28 163.3
6350 male 29 169.0
6351 male 67 164.9
6352 female 32 152.5
6353 female 9 147.3
6354 female 48 149.7
6355 male 6 121.7
6356 female 22 159.7
6357 male 19 159.6
6358 female 28 154.3
6359 female 68 165.2
6360 male 26 173.7
6361 male 0 NA
6362 female 61 158.2
6363 male 60 172.5
6364 male 50 181.6
6365 female 16 156.3
6366 female 0 NA
6367 female 13 166.4
6368 female 40 155.9
6369 male 2 96.9
6370 female 52 154.4
6371 male 80 164.5
6372 female 19 152.0
6373 female 3 100.4
6374 female 2 84.5
6375 male 55 188.2
6376 female 19 160.4
6377 male 28 175.0
6378 male 32 180.6
6379 female 30 153.5
6380 male 18 169.6
6381 male 19 176.1
6382 female 52 157.7
6383 male 75 170.1
6384 male 17 171.0
6385 female 1 NA
6386 male 6 113.7
6387 male 17 176.7
6388 female 67 153.3
6389 male 6 121.7
6390 female 38 158.9
6391 male 4 103.9
6392 male 8 129.7
6393 female 18 NA
6394 male 80 156.8
6395 female 59 162.0
6396 female 51 158.9
6397 female 55 163.9
6398 male 67 181.2
6399 male 74 169.1
6400 male 9 153.0
6401 male 19 178.3
6402 female 11 154.6
6403 female 80 157.0
6404 male 0 NA
6405 male 55 183.1
6406 male 9 144.5
6407 male 29 177.2
6408 male 16 182.1
6409 male 1 NA
6410 female 80 155.8
6411 male 2 NA
6412 female 52 155.0
6413 female 34 168.0
6414 male 72 157.7
6415 male 10 147.3
6416 male 10 139.1
6417 male 11 147.2
6418 female 57 148.7
6419 female 11 158.2
6420 female 13 146.5
6421 female 80 158.2
6422 female 79 153.3
6423 female 37 149.7
6424 female 64 158.5
6425 male 12 139.9
6426 male 56 179.6
6427 male 37 166.5
6428 female 70 153.5
6429 male 61 173.8
6430 male 39 188.7
6431 male 14 167.7
6432 female 4 120.3
6433 male 10 140.6
6434 male 58 183.7
6435 female 12 153.8
6436 male 20 177.7
6437 male 0 NA
6438 female 33 170.9
6439 female 0 NA
6440 female 47 167.4
6441 male 4 107.0
6442 male 52 161.4
6443 male 80 178.7
6444 female 46 162.8
6445 female 4 111.7
6446 female 77 147.0
6447 female 56 156.5
6448 female 0 NA
6449 female 32 152.3
6450 female 0 NA
6451 female 14 164.5
6452 female 35 155.5
6453 female 0 NA
6454 female 1 NA
6455 female 9 127.3
6456 female 61 170.6
6457 female 15 166.5
6458 female 31 182.4
6459 male 12 163.8
6460 female 33 151.1
6461 female 76 162.0
6462 male 66 181.1
6463 male 9 139.5
6464 female 7 119.7
6465 male 65 175.2
6466 female 7 128.4
6467 female 65 162.9
6468 male 52 171.9
6469 male 60 165.5
6470 female 3 96.5
6471 female 74 162.1
6472 male 14 176.0
6473 female 45 166.8
6474 male 5 102.5
6475 male 70 171.1
6476 male 17 174.8
6477 male 8 123.6
6478 male 46 171.8
6479 male 0 NA
6480 female 69 152.9
6481 male 30 172.7
6482 male 41 180.0
6483 male 9 126.9
6484 female 53 156.9
6485 female 50 152.2
6486 male 62 164.7
6487 female 27 162.2
6488 male 59 164.0
6489 male 65 160.7
6490 male 78 169.4
6491 male 54 164.8
6492 female 29 151.7
6493 male 63 177.2
6494 female 6 111.2
6495 male 80 166.0
6496 male 13 172.9
6497 male 0 NA
6498 female 33 145.7
6499 male 24 170.2
6500 male 18 176.5
6501 male 9 141.4
6502 male 59 171.3
6503 female 10 153.3
6504 female 14 155.1
6505 male 71 168.1
6506 male 54 166.8
6507 female 4 96.5
6508 male 3 97.6
6509 male 4 103.8
6510 female 8 130.9
6511 male 19 178.9
6512 female 64 153.2
6513 male 6 113.2
6514 female 41 167.9
6515 male 43 177.0
6516 female 1 NA
6517 male 26 188.1
6518 male 18 178.1
6519 female 4 111.1
6520 male 7 127.2
6521 male 76 185.6
6522 female 28 170.6
6523 female 11 154.6
6524 male 40 181.8
6525 male 43 184.6
6526 female 36 171.3
6527 male 23 170.0
6528 female 54 149.9
6529 male 1 NA
6530 female 43 147.1
6531 male 33 173.9
6532 male 67 164.2
6533 male 18 174.4
6534 male 39 179.3
6535 male 61 166.7
6536 male 38 177.4
6537 male 39 174.1
6538 male 46 192.8
6539 female 16 149.0
6540 male 42 176.7
6541 female 80 173.0
6542 female 5 106.9
6543 female 24 160.5
6544 male 65 175.7
6545 female 7 131.7
6546 female 31 161.2
6547 female 2 88.3
6548 male 80 NA
6549 male 33 155.5
6550 male 43 172.3
6551 female 61 NA
6552 female 5 118.3
6553 male 0 NA
6554 male 25 175.5
6555 female 74 164.9
6556 female 10 153.4
6557 female 16 165.2
6558 female 57 155.0
6559 male 17 168.7
6560 female 7 116.8
6561 male 8 131.8
6562 male 14 166.4
6563 female 71 165.3
6564 female 1 NA
6565 female 2 89.5
6566 female 11 161.2
6567 male 20 169.4
6568 female 5 111.2
6569 female 13 163.1
6570 male 41 164.8
6571 male 16 182.2
6572 female 25 156.9
6573 female 35 150.5
6574 male 80 158.9
6575 female 21 156.7
6576 male 1 NA
6577 female 56 167.5
6578 female 9 143.1
6579 male 15 174.7
6580 male 18 169.7
6581 female 56 160.6
6582 male 6 115.3
6583 female 2 89.2
6584 female 35 152.5
6585 female 16 158.3
6586 male 9 124.9
6587 male 21 170.4
6588 male 0 NA
6589 female 8 137.3
6590 male 62 171.9
6591 female 49 163.7
6592 male 3 105.5
6593 female 15 157.9
6594 male 70 176.6
6595 male 32 173.1
6596 female 48 163.7
6597 female 10 142.1
6598 female 33 163.4
6599 female 10 141.4
6600 female 0 NA
6601 female 9 127.3
6602 female 56 161.9
6603 male 66 168.7
6604 female 34 168.8
6605 female 10 139.8
6606 male 38 187.2
6607 male 33 184.4
6608 female 69 159.2
6609 male 1 NA
6610 female 38 164.6
6611 female 37 171.0
6612 female 51 163.3
6613 female 79 161.2
6614 female 49 168.5
6615 female 2 95.9
6616 male 59 185.0
6617 female 73 152.1
6618 female 15 151.8
6619 male 80 NA
6620 female 9 158.0
6621 female 67 158.9
6622 female 69 152.4
6623 male 26 177.6
6624 female 68 166.3
6625 male 3 102.7
6626 female 44 157.9
6627 male 6 117.2
6628 male 35 170.0
6629 female 44 160.8
6630 female 1 NA
6631 female 76 152.0
6632 female 7 111.3
6633 female 4 111.2
6634 female 39 158.5
6635 male 79 176.4
6636 male 20 178.0
6637 male 66 182.4
6638 male 34 183.8
6639 female 52 167.4
6640 female 0 NA
6641 male 64 165.9
6642 male 0 NA
6643 female 55 158.2
6644 female 62 167.1
6645 male 21 172.0
6646 female 5 108.0
6647 male 42 174.5
6648 female 3 97.5
6649 male 54 189.6
6650 male 11 154.6
6651 male 60 171.9
6652 female 0 NA
6653 female 4 101.5
6654 male 35 180.3
6655 female 63 171.3
6656 male 80 166.9
6657 female 11 151.6
6658 female 47 157.3
6659 female 48 154.6
6660 female 9 129.0
6661 female 7 123.2
6662 female 42 161.3
6663 female 9 136.7
6664 male 10 138.8
6665 female 68 162.6
6666 female 45 166.0
6667 male 2 89.3
6668 male 61 166.4
6669 female 21 156.7
6670 male 7 132.9
6671 female 18 176.2
6672 male 6 123.2
6673 male 54 182.1
6674 male 39 178.4
6675 male 15 166.9
6676 female 11 164.3
6677 female 3 103.5
6678 male 5 114.7
6679 male 72 170.0
6680 male 35 173.7
6681 female 60 169.8
6682 female 4 109.9
6683 female 68 156.3
6684 male 12 158.7
6685 male 17 181.2
6686 male 78 178.4
6687 male 19 172.6
6688 female 7 127.0
6689 female 76 146.7
6690 male 34 173.1
6691 female 51 156.5
6692 female 1 NA
6693 male 12 161.8
6694 female 80 160.1
6695 male 3 97.1
6696 female 2 90.8
6697 female 16 179.0
6698 female 4 98.6
6699 female 1 NA
6700 female 8 137.6
6701 female 16 152.0
6702 female 19 167.7
6703 female 53 146.7
6704 female 43 170.8
6705 female 60 160.4
6706 female 27 152.5
6707 male 30 163.6
6708 male 1 NA
6709 female 68 160.8
6710 female 0 NA
6711 male 3 102.8
6712 female 3 109.0
6713 female 37 177.8
6714 female 5 102.7
6715 female 45 167.0
6716 female 1 NA
6717 male 43 178.0
6718 female 4 113.5
6719 female 74 153.9
6720 female 36 148.5
6721 male 0 NA
6722 male 80 168.7
6723 male 2 NA
6724 male 63 169.6
6725 male 68 175.5
6726 female 37 162.5
6727 male 76 164.5
6728 female 41 160.9
6729 male 7 131.9
6730 male 33 194.6
6731 male 59 NA
6732 male 29 186.3
6733 female 57 156.9
6734 female 70 153.9
6735 male 26 186.3
6736 female 5 129.4
6737 female 71 157.9
6738 female 0 NA
6739 male 80 170.1
6740 female 6 124.6
6741 female 30 167.1
6742 female 75 157.4
6743 female 13 134.0
6744 male 2 94.9
6745 female 17 173.7
6746 female 36 169.7
6747 male 36 172.8
6748 female 62 155.6
6749 female 0 NA
6750 male 0 NA
6751 female 52 155.4
6752 male 46 181.0
6753 female 2 NA
6754 female 5 99.4
6755 female 4 114.3
6756 male 0 NA
6757 male 10 134.1
6758 female 71 156.9
6759 male 55 164.9
6760 male 80 166.7
6761 male 77 163.8
6762 male 25 170.3
6763 female 0 NA
6764 male 71 178.9
6765 male 46 185.3
6766 male 26 185.3
6767 male 18 188.0
6768 female 2 88.1
6769 male 18 180.3
6770 male 13 166.8
6771 female 72 158.6
6772 female 64 166.4
6773 female 8 131.4
6774 male 18 185.0
6775 female 68 157.4
6776 female 6 115.6
6777 male 23 168.0
6778 female 8 130.3
6779 female 17 162.9
6780 female 58 156.9
6781 female 28 160.8
6782 female 2 93.8
6783 female 42 156.6
6784 male 7 135.4
6785 female 2 92.1
6786 female 16 169.5
6787 female 52 154.8
6788 male 9 123.2
6789 female 17 152.6
6790 male 80 182.9
6791 male 1 NA
6792 male 41 176.2
6793 female 12 157.1
6794 male 27 182.3
6795 male 26 184.1
6796 male 10 141.2
6797 female 23 157.9
6798 female 80 161.0
6799 male 67 169.2
6800 male 19 170.0
6801 male 80 164.1
6802 female 61 161.5
6803 male 3 98.9
6804 female 5 117.6
6805 male 22 161.1
6806 female 40 168.3
6807 female 45 168.4
6808 male 51 155.8
6809 female 9 139.3
6810 male 25 173.1
6811 female 40 172.8
6812 female 59 162.6
6813 female 11 154.7
6814 male 11 148.0
6815 female 65 160.3
6816 female 37 163.8
6817 male 20 184.9
6818 female 57 164.1
6819 male 55 181.9
6820 female 37 155.1
6821 female 15 154.4
6822 female 18 163.0
6823 female 80 154.0
6824 male 20 173.1
6825 female 42 158.4
6826 male 13 169.2
6827 male 10 131.1
6828 male 16 165.7
6829 female 37 163.2
6830 female 68 166.0
6831 female 51 163.8
6832 female 61 171.4
6833 male 62 168.5
6834 male 21 183.4
6835 male 0 NA
6836 male 47 173.5
6837 male 64 167.7
6838 male 10 146.2
6839 male 3 97.0
6840 female 4 106.4
6841 male 10 137.0
6842 male 11 137.1
6843 female 20 169.3
6844 male 80 180.4
6845 male 16 181.0
6846 female 25 159.2
6847 female 37 156.2
6848 female 38 158.2
6849 female 65 152.3
6850 female 61 166.2
6851 male 16 173.7
6852 female 22 142.3
6853 male 57 178.2
6854 male 28 186.0
6855 male 15 175.7
6856 male 34 168.4
6857 female 10 145.6
6858 female 1 NA
6859 female 18 157.2
6860 female 12 157.5
6861 female 30 163.1
6862 male 10 145.4
6863 female 42 154.5
6864 male 1 NA
6865 male 23 178.7
6866 female 50 163.1
6867 male 60 162.5
6868 male 80 166.4
6869 female 68 155.6
6870 male 3 102.7
6871 female 9 140.0
6872 male 27 176.0
6873 male 7 116.1
6874 male 28 162.8
6875 male 1 NA
6876 male 52 184.3
6877 female 60 161.9
6878 female 29 166.4
6879 female 12 162.7
6880 male 67 178.4
6881 female 37 162.3
6882 male 56 170.2
6883 male 29 177.3
6884 female 29 152.3
6885 male 76 182.7
6886 female 43 159.1
6887 female 1 NA
6888 female 21 172.3
6889 male 71 165.8
6890 male 23 176.7
6891 female 3 93.9
6892 female 44 166.7
6893 female 42 170.0
6894 female 80 156.5
6895 male 8 133.2
6896 male 65 169.6
6897 male 77 167.0
6898 male 49 184.7
6899 male 15 175.9
6900 male 61 172.5
6901 male 75 171.3
6902 male 52 175.1
6903 male 53 172.6
6904 female 23 166.9
6905 female 61 157.9
6906 male 55 NA
6907 female 59 159.1
6908 male 14 163.4
6909 female 30 165.1
6910 male 27 169.6
6911 male 14 181.5
6912 male 63 189.3
6913 female 46 150.1
6914 female 15 155.6
6915 female 80 163.4
6916 female 41 155.1
6917 male 14 161.8
6918 male 61 166.7
6919 female 4 97.6
6920 male 13 164.7
6921 male 72 165.1
6922 female 3 97.2
6923 female 17 157.6
6924 male 68 185.3
6925 male 18 167.8
6926 male 15 175.8
6927 female 57 150.8
6928 male 57 177.1
6929 female 49 167.2
6930 male 0 NA
6931 female 17 164.3
6932 male 12 154.3
6933 female 9 129.6
6934 male 12 145.5
6935 male 71 172.8
6936 male 4 102.2
6937 male 80 167.4
6938 male 28 170.6
6939 female 44 172.6
6940 male 5 113.2
6941 male 16 164.3
6942 female 55 154.8
6943 male 32 174.1
6944 female 34 166.4
6945 male 2 85.7
6946 male 2 NA
6947 male 62 164.6
6948 male 67 165.3
6949 female 22 158.6
6950 male 36 184.2
6951 male 62 180.8
6952 female 51 155.0
6953 male 14 156.6
6954 female 13 154.0
6955 female 3 97.5
6956 male 17 177.0
6957 female 46 171.4
6958 male 31 185.5
6959 male 32 179.6
6960 female 51 159.7
6961 female 80 165.2
6962 female 19 159.7
6963 female 17 163.8
6964 female 58 161.8
6965 male 13 161.5
6966 female 63 164.5
6967 male 14 166.8
6968 female 56 162.9
6969 female 56 156.0
6970 female 39 155.3
6971 female 3 102.7
6972 female 23 159.8
6973 female 10 154.4
6974 male 22 177.7
6975 male 80 175.6
6976 female 53 157.9
6977 female 0 NA
6978 female 49 166.3
6979 female 44 158.0
6980 female 59 151.9
6981 female 60 159.7
6982 male 22 189.6
6983 female 45 158.4
6984 female 19 160.3
6985 female 11 158.6
6986 female 36 168.1
6987 female 1 NA
6988 male 12 148.2
6989 male 26 184.0
6990 female 48 149.2
6991 female 80 149.5
6992 male 0 NA
6993 male 30 185.5
6994 female 59 168.4
6995 male 76 176.3
6996 female 33 155.7
6997 male 37 182.3
6998 male 25 185.6
6999 female 6 123.0
7000 male 2 90.7
7001 female 19 161.8
7002 male 15 168.1
7003 male 31 172.0
7004 male 2 92.4
7005 female 30 161.4
7006 female 0 NA
7007 male 76 182.2
7008 male 5 111.0
7009 female 33 171.4
7010 female 33 163.6
7011 male 54 178.2
7012 male 11 147.2
7013 male 80 163.1
7014 male 8 130.5
7015 male 2 95.8
7016 female 2 88.4
7017 female 58 156.5
7018 female 80 151.6
7019 male 59 169.5
7020 female 29 165.2
7021 male 19 169.9
7022 male 42 188.3
7023 male 0 NA
7024 female 52 158.8
7025 female 11 150.7
7026 female 7 123.5
7027 male 7 131.4
7028 female 17 155.6
7029 female 49 151.4
7030 male 62 164.5
7031 female 60 155.0
7032 female 26 158.8
7033 male 1 NA
7034 female 28 164.7
7035 female 18 163.0
7036 female 58 157.6
7037 female 2 94.2
7038 female 47 159.5
7039 female 66 155.3
7040 male 35 183.8
7041 male 55 172.3
7042 female 80 154.8
7043 male 64 165.0
7044 female 0 NA
7045 female 62 151.1
7046 female 80 168.7
7047 female 50 156.7
7048 male 58 173.1
7049 female 80 153.2
7050 female 9 152.1
7051 female 57 156.7
7052 male 35 171.5
7053 male 33 161.2
7054 male 21 168.1
7055 female 35 158.5
7056 female 7 124.1
7057 male 63 169.7
7058 female 48 168.3
7059 female 71 169.1
7060 female 71 157.0
7061 male 14 179.5
7062 female 2 86.8
7063 female 61 153.4
7064 male 73 175.7
7065 male 55 168.6
7066 male 9 140.3
7067 male 14 167.2
7068 male 80 182.3
7069 female 14 160.2
7070 male 34 167.0
7071 female 70 NA
7072 female 14 157.3
7073 female 62 148.3
7074 female 0 NA
7075 female 61 154.7
7076 female 62 156.6
7077 male 60 179.2
7078 male 23 164.9
7079 male 2 92.5
7080 female 55 164.6
7081 male 80 167.8
7082 male 74 168.5
7083 female 8 129.4
7084 female 35 155.7
7085 male 54 178.6
7086 male 48 167.9
7087 male 13 150.7
7088 male 44 167.7
7089 male 60 188.2
7090 female 30 159.4
7091 female 38 151.6
7092 female 50 159.0
7093 female 14 167.0
7094 male 65 178.6
7095 male 17 178.1
7096 female 9 137.7
7097 male 1 NA
7098 male 26 177.1
7099 female 9 134.9
7100 male 36 174.2
7101 female 80 156.4
7102 female 16 151.5
7103 male 27 171.1
7104 female 57 153.8
7105 male 63 174.1
7106 female 15 153.0
7107 male 8 136.7
7108 male 54 175.5
7109 male 38 166.8
7110 male 52 189.0
7111 female 63 158.4
7112 female 38 171.1
7113 female 18 164.2
7114 female 33 157.0
7115 male 57 175.3
7116 female 29 163.5
7117 female 62 157.9
7118 female 34 161.9
7119 female 6 123.5
7120 male 45 168.7
7121 male 12 154.0
7122 female 80 154.4
7123 female 5 116.3
7124 male 25 175.7
7125 male 16 181.9
7126 male 31 180.0
7127 female 47 161.7
7128 female 67 152.9
7129 female 7 122.1
7130 male 2 85.7
7131 male 9 138.6
7132 female 11 154.6
7133 male 6 121.5
7134 female 11 162.7
7135 male 67 170.9
7136 female 65 170.1
7137 male 80 169.7
7138 male 8 134.5
7139 male 75 166.5
7140 male 44 182.8
7141 male 5 111.9
7142 female 34 150.3
7143 male 60 178.8
7144 female 56 158.8
7145 female 65 165.1
7146 male 30 181.1
7147 female 52 161.4
7148 female 10 144.1
7149 female 62 162.6
7150 female 26 155.5
7151 male 4 107.8
7152 female 61 157.4
7153 female 14 157.3
7154 female 39 161.6
7155 male 16 173.4
7156 male 2 88.0
7157 female 10 147.1
7158 female 60 159.6
7159 female 11 150.8
7160 female 35 163.9
7161 male 0 NA
7162 male 17 179.6
7163 male 3 104.2
7164 male 10 138.5
7165 male 2 98.6
7166 female 14 163.6
7167 female 47 170.3
7168 female 25 171.4
7169 male 1 NA
7170 male 17 190.6
7171 male 30 180.3
7172 female 80 165.7
7173 female 42 175.3
7174 male 12 145.4
7175 male 15 173.6
7176 male 22 180.6
7177 female 12 160.1
7178 female 18 161.2
7179 male 34 175.3
7180 male 80 182.4
7181 female 0 NA
7182 male 57 163.8
7183 female 74 162.2
7184 male 35 177.6
7185 female 8 128.3
7186 female 16 155.1
7187 female 52 174.1
7188 female 67 166.0
7189 female 16 173.2
7190 female 22 164.5
7191 male 15 175.7
7192 female 71 157.0
7193 male 13 167.4
7194 male 80 170.9
7195 female 72 160.6
7196 male 13 NA
7197 male 2 86.8
7198 male 63 163.8
7199 male 80 176.7
7200 female 7 124.1
7201 female 41 167.7
7202 male 80 171.4
7203 female 16 153.0
7204 female 29 169.0
7205 male 8 129.7
7206 female 0 NA
7207 female 80 145.9
7208 female 69 161.4
7209 male 46 169.2
7210 female 79 157.1
7211 male 16 166.1
7212 male 0 NA
7213 female 10 132.9
7214 male 46 182.0
7215 female 54 165.6
7216 female 72 160.2
7217 female 52 155.5
7218 male 46 171.5
7219 male 6 110.2
7220 female 74 165.6
7221 female 69 NA
7222 male 30 179.5
7223 female 52 163.8
7224 female 0 NA
7225 female 3 102.7
7226 female 53 165.5
7227 female 31 165.0
7228 female 6 109.0
7229 female 29 156.3
7230 male 9 137.5
7231 male 2 99.8
7232 male 53 166.6
7233 male 12 154.7
7234 female 34 160.1
7235 male 55 168.2
7236 male 9 138.7
7237 female 64 163.8
7238 male 0 NA
7239 male 22 176.6
7240 female 28 164.0
7241 female 49 161.8
7242 female 73 150.9
7243 male 14 157.4
7244 male 42 164.1
7245 male 40 181.4
7246 female 74 152.4
7247 female 14 164.0
7248 female 80 151.6
7249 male 39 171.3
7250 male 14 171.9
7251 female 80 161.8
7252 male 25 185.1
7253 male 75 175.7
7254 male 41 181.7
7255 male 53 169.2
7256 male 52 168.9
7257 female 75 143.9
7258 female 11 142.5
7259 male 31 187.0
7260 female 56 158.1
7261 female 1 NA
7262 female 65 155.0
7263 female 4 103.7
7264 male 9 138.0
7265 male 3 94.4
7266 female 59 164.9
7267 female 39 155.5
7268 male 12 156.0
7269 female 56 162.1
7270 female 38 160.2
7271 male 44 181.2
7272 female 9 128.1
7273 male 9 137.0
7274 male 1 NA
7275 female 16 144.1
7276 male 58 172.0
7277 male 12 152.4
7278 female 61 139.0
7279 female 7 132.0
7280 female 41 168.0
7281 female 24 169.0
7282 female 1 NA
7283 female 17 162.2
7284 female 42 162.0
7285 female 38 161.6
7286 female 74 154.5
7287 male 3 104.0
7288 female 70 154.9
7289 female 5 108.6
7290 female 19 NA
7291 female 48 162.2
7292 male 38 171.5
7293 female 10 140.8
7294 female 10 140.4
7295 female 67 160.7
7296 male 59 177.0
7297 male 63 170.5
7298 female 1 NA
7299 female 30 173.6
7300 female 13 163.7
7301 male 49 177.7
7302 female 59 175.7
7303 male 39 169.9
7304 male 15 173.4
7305 female 1 NA
7306 female 55 162.3
7307 female 66 146.3
7308 male 8 127.5
7309 female 67 154.5
7310 male 16 186.0
7311 female 5 118.4
7312 female 59 144.2
7313 female 23 160.8
7314 female 62 149.9
7315 female 50 156.0
7316 male 3 101.6
7317 male 39 184.8
7318 male 65 165.4
7319 female 57 177.2
7320 male 8 142.4
7321 female 51 150.7
7322 female 11 150.4
7323 male 11 140.9
7324 female 50 165.3
7325 female 2 85.2
7326 male 9 129.4
7327 male 60 170.2
7328 female 73 158.5
7329 male 64 176.3
7330 female 29 149.7
7331 female 16 155.1
7332 male 70 159.8
7333 male 49 179.0
7334 female 16 162.1
7335 female 60 155.7
7336 male 73 158.3
7337 female 64 160.3
7338 female 51 146.5
7339 female 78 155.3
7340 female 12 160.3
7341 male 6 118.0
7342 female 34 157.3
7343 female 11 145.3
7344 female 0 NA
7345 male 11 142.9
7346 male 14 155.2
7347 male 71 169.3
7348 male 9 159.8
7349 female 67 170.5
7350 female 30 156.6
7351 male 68 187.6
7352 female 10 139.5
7353 female 18 152.7
7354 female 62 160.6
7355 female 16 157.6
7356 female 3 97.9
7357 female 61 140.5
7358 male 12 147.8
7359 male 64 172.2
7360 female 10 137.1
7361 male 6 112.0
7362 male 35 173.9
7363 female 3 94.8
7364 male 51 180.7
7365 female 30 166.8
7366 female 34 162.3
7367 female 80 153.0
7368 male 8 122.5
7369 male 52 175.0
7370 male 76 175.2
7371 male 65 175.0
7372 female 10 148.2
7373 male 11 160.3
7374 male 61 179.2
7375 male 8 132.7
7376 male 51 172.9
7377 female 0 NA
7378 female 9 134.3
7379 male 8 122.2
7380 male 80 171.7
7381 female 10 130.6
7382 male 33 172.9
7383 female 9 128.7
7384 male 8 127.6
7385 male 63 178.2
7386 male 48 167.0
7387 male 3 99.1
7388 female 44 162.5
7389 male 22 177.8
7390 male 61 182.6
7391 female 42 160.2
7392 female 75 163.2
7393 female 43 159.1
7394 male 53 180.9
7395 female 35 155.5
7396 male 35 175.4
7397 female 1 NA
7398 male 0 NA
7399 male 17 176.6
7400 male 37 170.5
7401 male 12 144.1
7402 male 54 157.9
7403 male 27 167.7
7404 male 25 187.6
7405 male 15 178.8
7406 female 63 151.1
7407 male 21 180.9
7408 male 46 178.9
7409 female 8 132.8
7410 male 14 169.5
7411 male 2 85.7
7412 female 30 166.6
7413 male 71 175.5
7414 male 60 173.2
7415 female 2 85.7
7416 female 22 159.5
7417 female 60 158.6
7418 female 4 103.3
7419 female 52 154.6
7420 female 55 166.8
7421 male 70 163.3
7422 male 61 166.8
7423 male 62 190.8
7424 male 14 174.5
7425 female 16 161.4
7426 female 55 156.9
7427 female 1 NA
7428 female 76 160.2
7429 female 23 158.7
7430 male 63 189.9
7431 male 24 170.2
7432 male 8 131.7
7433 male 2 95.4
7434 female 49 147.5
7435 female 43 163.0
7436 male 19 171.2
7437 female 44 150.3
7438 female 77 143.1
7439 male 6 NA
7440 male 22 173.9
7441 female 5 111.3
7442 male 62 176.8
7443 female 0 NA
7444 female 6 112.8
7445 male 22 162.0
7446 male 66 169.3
7447 male 58 173.5
7448 female 11 150.7
7449 male 62 186.4
7450 male 22 165.9
7451 female 2 87.3
7452 male 1 NA
7453 male 75 169.6
7454 male 53 175.5
7455 female 11 156.2
7456 female 16 162.5
7457 male 56 176.4
7458 male 7 119.7
7459 male 8 131.8
7460 female 13 178.6
7461 female 29 160.8
7462 male 80 164.9
7463 female 6 114.1
7464 male 62 168.5
7465 male 0 NA
7466 male 21 166.9
7467 female 55 163.1
7468 female 76 152.8
7469 female 17 160.9
7470 male 11 139.7
7471 male 12 153.3
7472 female 73 142.6
7473 male 6 128.4
7474 female 8 127.4
7475 male 80 167.3
7476 female 63 157.5
7477 female 68 151.4
7478 male 0 NA
7479 male 58 174.7
7480 male 14 169.7
7481 female 55 171.8
7482 female 1 NA
7483 female 53 164.2
7484 male 2 87.6
7485 male 8 124.7
7486 male 68 171.2
7487 male 13 143.3
7488 female 58 161.3
7489 male 16 180.9
7490 female 40 167.6
7491 male 3 102.4
7492 male 20 177.4
7493 female 70 NA
7494 male 72 174.9
7495 male 20 182.1
7496 female 60 155.7
7497 male 28 176.4
7498 male 30 174.4
7499 female 36 166.0
7500 male 65 164.9
7501 female 61 152.6
7502 male 58 178.8
7503 female 4 106.8
7504 female 47 166.3
7505 female 9 126.8
7506 female 64 158.9
7507 male 38 176.7
7508 female 28 153.5
7509 female 36 157.7
7510 female 55 164.3
7511 female 13 146.0
7512 female 16 150.1
7513 female 55 151.7
7514 male 55 168.2
7515 male 25 180.0
7516 male 13 160.5
7517 female 62 157.1
7518 male 1 NA
7519 female 31 149.5
7520 female 45 155.0
7521 male 0 NA
7522 male 2 95.5
7523 female 75 158.1
7524 female 20 161.1
7525 male 80 177.7
7526 male 78 173.7
7527 male 3 97.8
7528 female 60 174.9
7529 female 28 157.5
7530 male 64 161.2
7531 female 45 171.5
7532 female 60 154.9
7533 female 57 157.2
7534 male 0 NA
7535 female 80 160.4
7536 female 26 156.5
7537 female 80 151.0
7538 male 10 155.5
7539 male 80 156.9
7540 female 60 168.0
7541 female 4 106.2
7542 female 79 155.5
7543 male 80 177.8
7544 female 23 169.3
7545 female 80 156.1
7546 male 43 171.6
7547 female 0 NA
7548 female 0 NA
7549 male 36 183.3
7550 male 9 156.5
7551 female 33 155.4
7552 female 39 154.5
7553 male 14 180.0
7554 male 9 134.3
7555 male 28 165.6
7556 male 72 162.8
7557 female 69 153.7
7558 male 60 190.6
7559 female 59 152.3
7560 male 61 172.3
7561 male 37 185.2
7562 male 65 178.8
7563 male 68 187.3
7564 male 73 172.2
7565 male 46 174.9
7566 male 39 181.8
7567 female 25 158.1
7568 female 16 168.7
7569 female 5 113.9
7570 male 29 181.4
7571 male 57 170.5
7572 female 2 96.9
7573 male 7 112.2
7574 female 59 168.3
7575 female 5 115.4
7576 male 37 183.7
7577 male 74 160.3
7578 male 25 175.5
7579 male 18 171.3
7580 female 3 97.5
7581 female 7 131.4
7582 male 3 101.0
7583 female 71 152.8
7584 male 13 162.4
7585 female 1 NA
7586 male 46 172.3
7587 male 56 172.9
7588 female 66 160.4
7589 female 61 161.1
7590 male 11 149.1
7591 male 37 175.4
7592 female 2 86.2
7593 female 33 151.4
7594 male 44 188.5
7595 female 80 141.7
7596 female 54 158.1
7597 male 49 157.7
7598 female 32 150.6
7599 female 55 145.8
7600 male 1 NA
7601 male 24 167.8
7602 female 10 147.8
7603 male 80 NA
7604 male 77 171.6
7605 male 8 129.4
7606 male 28 179.6
7607 male 36 173.9
7608 male 0 NA
7609 male 64 184.4
7610 female 64 159.7
7611 female 55 155.7
7612 female 65 168.7
7613 male 55 168.7
7614 female 54 153.3
7615 male 51 182.9
7616 male 38 183.1
7617 female 77 163.5
7618 male 53 180.5
7619 male 30 177.0
7620 male 15 170.0
7621 male 5 106.4
7622 female 22 159.4
7623 female 1 NA
7624 male 7 129.6
7625 male 57 175.4
7626 male 63 169.3
7627 female 40 153.8
7628 female 12 168.8
7629 male 1 NA
7630 male 8 136.7
7631 female 28 168.7
7632 male 6 129.2
7633 female 11 159.8
7634 female 57 171.0
7635 female 3 102.6
7636 male 9 140.6
7637 female 16 156.4
7638 female 79 139.7
7639 male 10 143.8
7640 male 61 188.3
7641 male 8 136.9
7642 male 69 168.9
7643 male 8 129.4
7644 female 26 166.4
7645 female 6 123.9
7646 female 0 NA
7647 male 71 181.9
7648 male 19 172.6
7649 male 7 135.0
7650 male 9 117.2
7651 female 53 162.6
7652 male 40 171.7
7653 male 67 167.4
7654 female 64 152.7
7655 male 16 181.9
7656 male 15 177.2
7657 male 4 99.0
7658 female 32 159.6
7659 male 63 169.1
7660 female 45 164.9
7661 female 3 100.9
7662 female 59 167.6
7663 male 9 128.3
7664 female 66 161.9
7665 male 11 147.9
7666 female 14 152.5
7667 female 72 152.4
7668 female 30 157.2
7669 female 74 157.0
7670 male 74 170.3
7671 male 48 179.1
7672 female 30 160.8
7673 female 77 150.6
7674 female 21 154.2
7675 female 38 165.3
7676 male 51 177.8
7677 female 63 160.0
7678 female 56 160.5
7679 female 0 NA
7680 male 28 182.9
7681 male 40 152.9
7682 male 32 170.1
7683 male 30 169.5
7684 male 1 NA
7685 female 11 156.6
7686 female 7 132.4
7687 male 13 158.9
7688 female 64 166.4
7689 female 77 154.4
7690 female 49 160.8
7691 male 37 166.7
7692 male 12 147.1
7693 female 72 151.5
7694 female 53 180.0
7695 male 52 174.6
7696 female 22 149.2
7697 male 14 176.0
7698 male 16 182.3
7699 female 66 162.4
7700 female 36 163.6
7701 male 8 124.2
7702 male 8 127.3
7703 female 63 153.3
7704 female 49 151.5
7705 female 38 157.2
7706 female 50 NA
7707 female 56 168.0
7708 male 21 177.7
7709 male 1 NA
7710 female 52 162.0
7711 male 76 167.9
7712 male 70 161.8
7713 female 43 172.5
7714 male 5 108.3
7715 male 60 163.6
7716 female 5 114.5
7717 male 8 119.4
7718 male 6 123.5
7719 male 23 171.9
7720 female 46 168.3
7721 female 78 145.9
7722 female 28 161.2
7723 female 0 NA
7724 female 13 144.8
7725 male 36 179.9
7726 female 5 109.6
7727 female 25 163.1
7728 male 10 137.9
7729 female 33 155.9
7730 female 33 160.5
7731 male 70 184.2
7732 male 0 NA
7733 female 13 161.4
7734 female 1 NA
7735 male 0 NA
7736 female 80 155.3
7737 female 22 174.6
7738 female 31 153.9
7739 female 12 170.7
7740 female 7 128.1
7741 female 69 161.5
7742 male 0 NA
7743 male 66 175.8
7744 female 7 116.4
7745 male 33 178.3
7746 male 48 154.4
7747 male 55 164.3
7748 female 12 156.6
7749 male 77 175.9
7750 female 8 142.4
7751 female 5 116.6
7752 female 42 164.1
7753 female 6 129.3
7754 male 8 128.5
7755 female 15 164.8
7756 male 10 137.2
7757 female 9 132.2
7758 female 64 167.9
7759 female 80 154.2
7760 male 24 NA
7761 male 19 168.7
7762 female 10 143.8
7763 female 44 161.8
7764 female 17 172.6
7765 female 13 154.1
7766 male 2 90.9
7767 male 74 172.5
7768 male 1 NA
7769 male 66 166.5
7770 female 2 91.1
7771 male 79 166.7
7772 male 54 173.0
7773 female 19 167.3
7774 male 9 136.2
7775 male 3 100.5
7776 female 1 NA
7777 female 1 NA
7778 male 2 92.3
7779 female 35 149.2
7780 male 4 102.9
7781 female 70 158.6
7782 female 4 112.1
7783 male 79 173.7
7784 male 0 NA
7785 female 44 150.0
7786 male 24 163.6
7787 female 10 142.7
7788 male 7 NA
7789 female 6 125.6
7790 male 2 95.8
7791 male 24 193.3
7792 female 15 155.1
7793 female 37 165.1
7794 male 4 101.9
7795 male 38 174.7
7796 male 45 186.2
7797 female 44 164.8
7798 male 1 NA
7799 female 35 162.6
7800 female 67 148.4
7801 male 7 125.1
7802 female 7 113.2
7803 male 27 169.9
7804 female 19 157.5
7805 male 66 177.0
7806 female 12 157.6
7807 male 80 161.5
7808 female 23 161.5
7809 female 67 170.7
7810 female 5 117.0
7811 male 59 168.7
7812 male 12 161.3
7813 male 14 165.7
7814 female 4 106.7
7815 female 6 132.1
7816 female 63 166.8
7817 male 63 179.6
7818 male 77 175.5
7819 male 25 185.8
7820 male 13 152.0
7821 female 36 168.9
7822 female 55 144.9
7823 female 47 159.8
7824 male 11 160.3
7825 female 10 135.8
7826 female 1 NA
7827 female 48 151.6
7828 male 6 115.8
7829 male 2 101.3
7830 female 20 160.8
7831 male 8 131.4
7832 male 11 157.6
7833 female 69 160.0
7834 female 19 153.1
7835 female 65 152.2
7836 male 46 180.0
7837 female 0 NA
7838 male 37 173.8
7839 female 24 176.4
7840 male 67 164.9
7841 male 24 175.7
7842 female 2 85.4
7843 female 50 158.2
7844 female 61 159.4
7845 female 67 177.5
7846 female 5 116.7
7847 male 0 NA
7848 female 32 170.0
7849 female 21 157.8
7850 male 5 109.3
7851 male 22 176.4
7852 female 10 148.4
7853 male 42 188.6
7854 female 5 118.4
7855 female 33 153.5
7856 male 55 180.7
7857 female 32 159.3
7858 female 62 164.1
7859 female 78 150.7
7860 female 6 130.3
7861 male 47 179.6
7862 male 16 180.5
7863 female 80 149.1
7864 male 4 100.3
7865 female 68 163.0
7866 female 69 158.8
7867 female 12 145.0
7868 male 70 175.1
7869 female 68 155.2
7870 female 80 154.1
7871 female 14 171.4
7872 female 18 NA
7873 male 9 130.9
7874 female 35 156.3
7875 male 3 99.6
7876 male 6 115.8
7877 male 55 175.8
7878 female 65 149.0
7879 male 10 148.5
7880 female 80 156.7
7881 male 17 179.8
7882 female 50 154.4
7883 male 43 173.5
7884 female 35 160.3
7885 male 0 NA
7886 male 17 164.4
7887 male 61 176.0
7888 female 60 147.3
7889 male 11 152.4
7890 female 49 155.7
7891 male 58 190.2
7892 male 7 133.3
7893 female 18 158.2
7894 male 9 137.9
7895 female 29 165.9
7896 male 11 149.3
7897 male 12 166.5
7898 male 32 192.2
7899 male 60 165.1
7900 female 21 155.0
7901 female 1 NA
7902 male 2 91.0
7903 male 20 172.0
7904 male 4 105.5
7905 male 17 173.3
7906 female 32 163.2
7907 female 75 159.9
7908 male 20 178.7
7909 female 17 157.5
7910 male 37 165.0
7911 female 24 165.8
7912 male 64 171.9
7913 male 31 169.7
7914 male 0 NA
7915 male 0 NA
7916 male 7 125.0
7917 male 53 176.9
7918 female 33 161.5
7919 female 26 160.3
7920 female 14 159.2
7921 female 15 155.1
7922 female 75 163.5
7923 male 74 175.4
7924 male 0 NA
7925 male 5 109.3
7926 female 53 158.4
7927 female 17 159.2
7928 male 18 186.2
7929 female 14 169.0
7930 female 23 182.4
7931 male 2 97.6
7932 male 21 178.4
7933 male 34 183.6
7934 male 56 167.7
7935 male 69 163.9
7936 female 39 157.0
7937 female 19 161.9
7938 female 42 164.2
7939 male 24 175.6
7940 female 7 118.1
7941 male 67 172.5
7942 male 11 141.1
7943 male 31 170.8
7944 male 19 180.4
7945 female 0 NA
7946 female 15 149.9
7947 male 12 163.5
7948 male 3 102.2
7949 female 55 161.7
7950 female 80 158.3
7951 female 27 158.0
7952 male 12 147.4
7953 female 44 161.4
7954 male 44 172.9
7955 female 77 157.8
7956 male 41 179.8
7957 male 47 166.8
7958 female 0 NA
7959 male 14 172.3
7960 female 80 NA
7961 female 2 88.5
7962 female 31 156.0
7963 male 19 155.9
7964 female 80 150.6
7965 male 23 NA
7966 female 0 NA
7967 male 14 174.8
7968 male 15 187.0
7969 female 80 157.8
7970 female 59 164.9
7971 female 66 165.3
7972 male 64 169.3
7973 female 77 154.4
7974 female 3 97.2
7975 female 64 172.3
7976 male 8 136.5
7977 female 13 161.9
7978 female 0 NA
7979 male 80 161.1
7980 female 61 159.7
7981 male 42 179.1
7982 male 2 101.1
7983 female 43 162.3
7984 male 41 174.1
7985 male 68 182.2
7986 female 25 151.5
7987 male 45 181.7
7988 male 20 171.7
7989 female 9 134.0
7990 male 18 177.7
7991 female 16 176.2
7992 male 58 179.3
7993 male 65 175.4
7994 male 36 165.0
7995 female 36 155.3
7996 male 0 NA
7997 female 38 158.4
7998 female 11 148.8
7999 female 63 155.4
8000 male 57 178.3
8001 female 11 148.5
8002 female 47 172.4
8003 female 23 164.2
8004 female 49 170.9
8005 female 9 129.6
8006 male 9 125.2
8007 male 42 180.0
8008 female 14 162.6
8009 male 68 172.4
8010 male 37 192.5
8011 female 31 159.0
8012 female 77 157.7
8013 male 48 181.9
8014 female 1 NA
8015 male 27 182.4
8016 female 48 165.7
8017 male 54 174.7
8018 female 0 NA
8019 male 38 156.4
8020 female 36 158.0
8021 male 19 176.5
8022 male 41 192.5
8023 male 26 185.1
8024 female 8 125.4
8025 female 11 158.6
8026 male 57 169.1
8027 male 3 100.6
8028 female 15 158.2
8029 male 22 177.4
8030 male 5 116.5
8031 male 41 180.4
8032 female 11 152.4
8033 female 5 115.0
8034 female 2 94.4
8035 female 49 162.0
8036 male 23 171.2
8037 male 60 178.4
8038 female 80 159.7
8039 male 23 167.4
8040 male 60 166.1
8041 male 42 191.1
8042 female 64 154.7
8043 female 0 NA
8044 female 0 NA
8045 male 48 166.8
8046 male 22 177.8
8047 male 34 177.0
8048 male 75 186.7
8049 female 10 142.2
8050 female 6 114.5
8051 female 38 155.7
8052 female 24 165.2
8053 male 40 181.2
8054 female 1 NA
8055 female 51 152.2
8056 female 56 154.1
8057 female 65 163.4
8058 female 12 160.0
8059 female 13 164.0
8060 male 79 169.9
8061 female 18 159.4
8062 male 34 184.3
8063 female 70 161.7
8064 female 77 152.9
8065 female 10 134.3
8066 female 54 149.9
8067 male 16 187.9
8068 male 79 174.0
8069 female 26 169.6
8070 male 14 164.6
8071 female 13 167.8
8072 female 79 163.4
8073 female 7 138.3
8074 female 36 168.7
8075 male 38 184.4
8076 male 0 NA
8077 female 54 151.9
8078 female 0 NA
8079 female 22 158.5
8080 male 18 174.0
8081 male 37 172.9
8082 male 0 NA
8083 male 17 163.0
8084 male 32 176.9
8085 female 18 161.2
8086 female 5 109.3
8087 female 6 118.9
8088 female 4 98.2
8089 female 17 172.0
8090 male 1 NA
8091 female 62 163.5
8092 male 14 165.0
8093 female 19 158.3
8094 female 12 164.0
8095 male 74 170.1
8096 male 78 165.8
8097 female 40 NA
8098 female 8 123.1
8099 female 6 108.5
8100 male 13 160.3
8101 male 71 170.1
8102 female 79 161.5
8103 male 2 92.6
8104 female 55 157.3
8105 male 33 185.4
8106 female 16 159.6
8107 male 80 177.4
8108 male 13 168.4
8109 female 39 153.8
8110 male 14 172.6
8111 male 59 189.0
8112 male 5 115.8
8113 female 63 146.0
8114 male 56 170.5
8115 male 45 172.2
8116 female 19 155.5
8117 female 28 177.2
8118 female 7 119.2
8119 female 72 151.1
8120 male 16 191.2
8121 female 80 160.9
8122 male 72 167.8
8123 male 18 172.4
8124 male 53 171.6
8125 male 5 117.1
8126 female 50 165.5
8127 male 25 179.9
8128 male 18 164.5
8129 male 33 174.7
8130 male 68 169.0
8131 male 54 195.6
8132 female 16 163.2
8133 male 33 173.3
8134 female 39 167.3
8135 male 52 170.3
8136 female 34 150.6
8137 female 39 165.2
8138 female 37 169.5
8139 female 27 158.8
8140 female 67 148.5
8141 male 36 168.5
8142 female 4 102.8
8143 male 31 180.2
8144 male 64 172.8
8145 male 11 152.7
8146 male 33 166.8
8147 male 22 167.8
8148 female 3 NA
8149 female 31 159.6
8150 female 39 151.8
8151 female 28 160.4
8152 male 31 177.1
8153 male 80 179.3
8154 female 33 170.6
8155 male 75 164.4
8156 female 18 159.8
8157 female 66 NA
8158 male 67 178.4
8159 female 42 149.6
8160 female 80 163.0
8161 male 54 178.5
8162 male 80 165.1
8163 male 31 174.0
8164 female 4 109.0
8165 female 11 150.7
8166 female 59 147.9
8167 female 40 155.4
8168 female 71 141.5
8169 female 26 164.1
8170 male 42 184.6
8171 male 44 169.9
8172 female 26 150.4
8173 male 9 148.6
8174 male 15 169.8
8175 female 27 153.8
8176 male 68 175.6
8177 male 2 92.6
8178 female 71 163.7
8179 male 31 NA
8180 female 80 152.8
8181 female 20 171.0
8182 female 14 161.5
8183 male 25 173.4
8184 male 45 180.3
8185 female 73 162.7
8186 male 80 186.6
8187 male 42 173.2
8188 female 44 153.2
8189 male 9 142.7
8190 male 7 126.7
8191 male 16 172.6
8192 male 49 185.5
8193 male 11 153.4
8194 female 75 160.2
8195 male 7 121.5
8196 male 2 90.6
8197 male 44 175.7
8198 male 80 169.9
8199 male 11 158.7
8200 male 9 131.0
8201 male 19 175.9
8202 female 54 153.4
8203 female 19 170.0
8204 male 63 188.8
8205 male 32 180.8
8206 female 70 157.2
8207 female 57 158.0
8208 female 62 163.9
8209 male 37 176.4
8210 male 33 173.7
8211 male 10 132.4
8212 male 63 164.7
8213 male 41 182.5
8214 female 38 163.1
8215 male 19 178.7
8216 male 33 177.6
8217 male 15 168.7
8218 female 44 165.3
8219 female 9 142.8
8220 female 56 161.1
8221 male 3 90.6
8222 female 5 118.4
8223 female 16 159.1
8224 female 13 150.2
8225 female 62 154.2
8226 female 56 153.3
8227 male 58 171.4
8228 female 80 153.5
8229 female 0 NA
8230 female 79 163.8
8231 male 3 102.3
8232 male 39 182.4
8233 male 1 NA
8234 female 60 152.0
8235 male 13 155.2
8236 female 34 167.4
8237 male 66 181.5
8238 female 29 156.6
8239 male 58 172.1
8240 male 34 172.8
8241 female 9 128.7
8242 female 25 168.9
8243 female 28 148.8
8244 male 5 111.7
8245 male 15 176.3
8246 male 46 172.9
8247 male 79 162.0
8248 male 34 195.8
8249 female 58 162.4
8250 female 16 159.4
8251 male 33 185.0
8252 male 0 NA
8253 female 62 149.3
8254 male 41 182.4
8255 female 41 154.0
8256 female 52 156.7
8257 male 38 157.7
8258 female 12 NA
8259 male 1 NA
8260 male 60 173.6
8261 male 77 170.0
8262 female 9 133.9
8263 male 36 165.3
8264 female 60 164.9
8265 female 9 NA
8266 female 21 156.5
8267 female 19 164.2
8268 male 29 163.7
8269 male 73 178.4
8270 female 71 149.5
8271 male 31 182.7
8272 male 79 170.1
8273 male 76 175.5
8274 male 33 168.3
8275 male 3 102.8
8276 male 75 166.2
8277 female 16 166.4
8278 female 10 148.8
8279 male 15 173.4
8280 male 45 173.4
8281 male 0 NA
8282 male 3 101.3
8283 female 80 156.2
8284 male 38 173.9
8285 female 51 158.3
8286 male 24 NA
8287 female 68 167.2
8288 male 62 148.2
8289 female 11 151.2
8290 female 59 174.1
8291 female 15 156.1
8292 male 33 175.6
8293 male 56 174.6
8294 male 46 183.7
8295 female 63 146.1
8296 female 44 152.7
8297 female 0 NA
8298 male 63 166.5
8299 female 8 127.0
8300 male 60 171.4
8301 male 0 NA
8302 male 63 170.0
8303 male 42 172.4
8304 female 0 NA
8305 male 64 163.1
8306 male 80 172.2
8307 female 10 156.8
8308 female 34 162.7
8309 male 55 181.4
8310 male 19 171.3
8311 male 4 101.6
8312 male 2 94.5
8313 female 1 NA
8314 female 14 169.2
8315 female 11 153.7
8316 female 10 147.5
8317 male 26 185.3
8318 female 66 148.3
8319 female 12 155.7
8320 male 80 172.6
8321 male 41 NA
8322 female 8 136.3
8323 female 28 164.7
8324 male 12 169.0
8325 male 9 135.7
8326 female 58 168.4
8327 female 9 138.0
8328 male 50 161.7
8329 male 66 171.3
8330 male 50 178.9
8331 female 0 NA
8332 male 53 162.0
8333 male 33 170.3
8334 male 9 125.9
8335 female 38 157.5
8336 male 0 NA
8337 male 1 NA
8338 male 5 112.8
8339 male 12 155.5
8340 male 7 118.9
8341 male 23 179.8
8342 female 3 94.4
8343 female 14 159.8
8344 female 10 151.7
8345 male 54 172.2
8346 male 68 167.4
8347 male 13 152.1
8348 male 60 177.1
8349 male 15 166.9
8350 male 70 173.3
8351 female 63 161.1
8352 female 25 153.5
8353 male 50 168.2
8354 female 15 156.7
8355 female 5 110.3
8356 female 80 157.4
8357 male 52 163.0
8358 female 68 173.2
8359 female 24 154.5
8360 male 80 NA
8361 female 59 153.8
8362 female 14 149.9
8363 male 39 169.1
8364 female 18 168.7
8365 female 70 161.1
8366 female 75 158.2
8367 female 15 169.6
8368 male 34 178.4
8369 female 8 120.3
8370 female 4 109.7
8371 female 4 108.2
8372 female 16 160.2
8373 female 57 167.3
8374 male 65 164.9
8375 female 17 173.3
8376 male 4 110.6
8377 female 80 155.6
8378 male 2 96.2
8379 male 64 177.2
8380 male 33 189.3
8381 male 17 189.8
8382 male 79 168.3
8383 female 56 159.5
8384 female 63 157.9
8385 female 70 152.8
8386 female 61 156.6
8387 male 48 174.7
8388 female 32 162.4
8389 male 46 178.4
8390 male 66 169.6
8391 male 56 177.2
8392 male 33 175.0
8393 male 46 181.0
8394 female 11 153.9
8395 female 69 161.0
8396 female 73 152.7
8397 male 2 NA
8398 male 22 175.6
8399 male 17 156.4
8400 female 41 164.4
8401 male 80 177.9
8402 female 40 166.1
8403 male 18 167.4
8404 male 64 175.6
8405 female 26 168.7
8406 male 7 127.3
8407 female 11 158.8
8408 male 34 174.6
8409 female 44 164.4
8410 male 7 136.7
8411 male 53 174.9
8412 female 12 150.9
8413 female 11 149.4
8414 female 8 145.1
8415 male 33 167.4
8416 male 57 186.3
8417 female 66 154.9
8418 female 71 154.7
8419 male 13 160.9
8420 female 25 156.8
8421 male 5 108.9
8422 male 21 170.3
8423 female 36 162.6
8424 female 68 161.4
8425 male 9 140.8
8426 female 80 151.5
8427 female 19 156.4
8428 female 59 161.4
8429 female 12 156.9
8430 male 4 111.7
8431 male 51 168.1
8432 male 80 170.1
8433 female 44 153.1
8434 male 50 175.1
8435 female 39 159.5
8436 male 32 180.7
8437 female 0 NA
8438 male 80 NA
8439 female 21 172.6
8440 female 47 158.5
8441 male 26 163.6
8442 male 22 180.1
8443 male 22 173.9
8444 male 60 170.5
8445 male 6 118.0
8446 male 80 182.6
8447 male 80 182.9
8448 female 33 158.4
8449 male 65 168.1
8450 male 34 NA
8451 male 39 180.8
8452 female 51 150.8
8453 female 64 167.6
8454 female 53 169.4
8455 male 24 172.5
8456 male 9 135.2
8457 female 8 139.4
8458 male 12 167.4
8459 female 7 124.7
8460 female 55 156.3
8461 female 14 152.7
8462 male 67 176.1
8463 male 75 178.1
8464 male 14 151.6
8465 male 12 144.1
8466 female 61 166.6
8467 male 75 178.2
8468 female 12 162.0
8469 female 52 163.4
8470 female 17 162.2
8471 male 40 174.5
8472 male 27 179.4
8473 male 80 174.6
8474 male 17 154.6
8475 female 73 157.3
8476 male 2 92.1
8477 female 8 129.6
8478 female 23 171.0
8479 male 14 161.0
8480 female 7 117.0
8481 male 13 163.2
8482 male 20 159.4
8483 male 59 181.8
8484 female 53 157.1
8485 female 62 154.9
8486 female 63 162.5
8487 male 43 167.4
8488 female 16 160.3
8489 male 62 178.4
8490 male 8 131.9
8491 male 16 179.6
8492 female 61 160.3
8493 male 54 165.0
8494 male 80 164.0
8495 male 70 189.1
8496 male 61 184.2
8497 female 12 148.4
8498 female 17 171.2
8499 female 50 169.0
8500 female 18 166.6
8501 male 45 169.8
8502 female 7 133.9
8503 male 6 121.0
8504 male 23 179.1
8505 female 57 166.7
8506 male 9 125.2
8507 male 5 124.3
8508 male 50 167.2
8509 female 1 NA
8510 male 50 174.1
8511 male 50 176.8
8512 male 13 159.4
8513 male 34 170.9
8514 male 10 136.4
8515 female 46 155.4
8516 female 47 178.9
8517 female 0 NA
8518 male 25 165.3
8519 male 20 191.5
8520 male 62 182.8
8521 male 0 NA
8522 male 10 138.8
8523 female 46 150.8
8524 female 10 135.1
8525 male 49 178.4
8526 male 12 157.9
8527 female 12 156.4
8528 female 60 160.6
8529 male 56 176.2
8530 female 63 169.8
8531 female 2 NA
8532 male 58 176.3
8533 male 35 171.9
8534 female 60 156.0
8535 female 67 161.3
8536 male 57 168.8
8537 male 6 121.8
8538 male 24 182.9
8539 male 6 115.4
8540 female 52 156.8
8541 male 6 120.6
8542 female 54 159.1
8543 female 46 155.8
8544 male 4 114.6
8545 female 42 160.6
8546 male 61 171.0
8547 male 47 173.3
8548 male 61 184.3
8549 male 61 175.7
8550 female 30 155.1
8551 male 67 177.9
8552 male 4 107.0
8553 male 7 113.2
8554 male 20 181.5
8555 female 57 164.8
8556 female 62 151.1
8557 male 65 172.0
8558 female 58 154.2
8559 male 25 174.8
8560 female 9 132.2
8561 male 60 180.0
8562 female 2 83.8
8563 male 79 182.2
8564 male 62 165.0
8565 male 24 172.9
8566 female 16 158.5
8567 female 41 164.4
8568 female 4 103.2
8569 male 0 NA
8570 male 11 147.4
8571 male 80 164.8
8572 female 42 152.3
8573 male 2 94.0
8574 male 4 112.3
8575 female 48 164.6
8576 female 57 167.0
8577 female 35 178.0
8578 female 16 160.4
8579 female 55 160.3
8580 female 0 NA
8581 female 58 149.1
8582 male 14 175.1
8583 female 80 152.5
8584 male 2 91.2
8585 male 8 143.9
8586 female 51 145.1
8587 male 29 173.9
8588 male 25 168.8
8589 male 57 181.1
8590 female 67 156.8
8591 male 40 165.1
8592 female 19 165.9
8593 male 41 179.8
8594 male 1 NA
8595 male 0 NA
8596 male 78 167.8
8597 male 7 128.9
8598 male 1 NA
8599 male 2 89.0
8600 male 63 170.9
8601 female 61 161.0
8602 female 30 155.6
8603 male 1 NA
8604 male 29 185.0
8605 male 54 168.2
8606 male 58 183.1
8607 female 10 141.1
8608 male 45 166.0
8609 male 45 164.6
8610 male 61 169.7
8611 male 80 155.1
8612 female 14 159.8
8613 male 36 168.9
8614 female 8 138.1
8615 male 63 163.8
8616 female 41 164.6
8617 female 0 NA
8618 female 61 145.9
8619 male 8 NA
8620 female 44 175.0
8621 female 73 164.6
8622 male 17 168.0
8623 female 70 154.1
8624 male 67 180.3
8625 female 51 159.2
8626 female 80 151.2
8627 female 44 169.6
8628 male 66 174.0
8629 male 61 170.2
8630 male 65 170.6
8631 female 17 161.9
8632 male 61 171.5
8633 male 21 169.6
8634 female 51 152.4
8635 male 4 112.0
8636 male 8 133.1
8637 male 80 171.5
8638 male 32 169.0
8639 female 37 167.8
8640 female 50 155.5
8641 female 60 159.1
8642 male 47 177.8
8643 male 80 175.5
8644 male 9 136.9
8645 female 42 164.8
8646 female 44 164.6
8647 male 26 167.1
8648 male 43 181.8
8649 male 3 91.1
8650 male 1 NA
8651 male 10 150.1
8652 female 20 171.9
8653 male 6 119.5
8654 male 66 172.4
8655 female 20 162.1
8656 female 75 153.7
8657 female 13 156.4
8658 male 9 137.8
8659 female 47 162.0
8660 male 51 172.4
8661 male 12 149.4
8662 male 71 178.2
8663 female 55 169.8
8664 female 11 155.0
8665 female 39 156.9
8666 female 73 149.1
8667 female 14 156.4
8668 male 66 156.5
8669 female 61 167.8
8670 male 33 169.3
8671 male 0 NA
8672 female 62 159.6
8673 male 53 170.9
8674 male 31 174.5
8675 female 43 173.9
8676 female 75 172.0
8677 male 3 102.1
8678 female 15 158.7
8679 male 0 NA
8680 male 60 183.0
8681 female 2 92.8
8682 female 3 96.8
8683 female 24 167.9
8684 male 48 178.5
8685 female 27 158.9
8686 male 1 NA
8687 female 4 104.0
8688 female 5 116.3
8689 female 2 82.5
8690 female 14 147.1
8691 female 0 NA
8692 female 48 181.1
8693 male 55 163.1
8694 male 15 173.6
8695 male 65 162.8
8696 male 75 170.4
8697 female 31 162.0
8698 male 33 180.1
8699 male 4 108.9
8700 female 70 156.5
8701 male 42 164.9
8702 female 41 162.6
8703 female 14 156.6
8704 male 38 175.8
Man kann auch Spalten umbenennen, indem man die Spalte mit neuer_Name=alter_Name
aufführt.
Mit -
(für “außer”) kann man Spalten markieren, die man entfernen möchte. Die anderen werden beibehalten:
%>%
nhanes select( -age, -ethnicity )
subjectId gender height weight
1 93703 female 88.6 13.7
2 93704 male 94.2 13.9
3 93705 female 158.3 79.5
4 93706 male 175.7 66.3
5 93707 male 158.4 45.4
6 93708 female 150.2 53.5
7 93709 female 151.1 88.8
8 93710 female NA 10.2
9 93711 male 170.6 62.1
10 93712 male 172.8 58.9
11 93713 male 178.6 74.9
12 93714 female 147.8 87.1
13 93715 male 170.6 65.6
14 93716 male 159.2 77.7
15 93717 male 174.1 74.4
16 93718 male 157.3 54.4
17 93719 female 160.5 67.0
18 93720 female NA 10.6
19 93721 female 154.0 85.1
20 93722 female 154.6 56.8
21 93723 male 170.1 64.9
22 93724 female 111.4 18.2
23 93725 female 145.8 34.3
24 93726 female 154.5 74.3
25 93727 male 161.9 62.7
26 93728 male 188.1 118.1
27 93729 male 173.2 82.8
28 93730 male 167.6 80.2
29 93731 male 179.9 89.2
30 93732 male 162.4 56.1
31 93733 female 142.6 40.8
32 93735 male 147.7 76.5
33 93736 male 143.4 36.9
34 93737 male 137.6 35.0
35 93738 male 170.2 97.7
36 93739 female 116.3 22.5
37 93740 male 183.4 102.9
38 93741 female 135.8 31.9
39 93742 male 178.3 107.9
40 93743 male 187.8 79.3
41 93744 female 154.7 50.8
42 93745 male 107.1 16.8
43 93746 female 158.4 62.1
44 93747 female 157.7 55.0
45 93748 male NA 9.3
46 93749 female NA 8.3
47 93751 female 133.9 45.1
48 93752 female 153.6 60.1
49 93753 female 151.4 56.3
50 93754 male 161.5 87.2
51 93755 female 178.5 93.8
52 93756 female 160.7 75.4
53 93757 male 174.9 106.7
54 93758 female 156.9 75.8
55 93759 male 158.6 73.1
56 93760 female 150.6 85.6
57 93761 male 166.4 80.2
58 93762 female 149.8 60.8
59 93763 male 181.5 84.1
60 93764 female NA 9.2
61 93765 male 169.9 63.1
62 93766 female 156.6 66.4
63 93767 male 164.7 86.4
64 93768 male 174.9 78.5
65 93769 male 124.7 23.5
66 93770 male 172.3 77.1
67 93771 male 97.5 13.3
68 93772 female 161.9 80.6
69 93773 male 176.0 74.6
70 93774 female 165.5 70.9
71 93775 female 150.4 58.5
72 93776 female 157.8 55.4
73 93777 female NA NA
74 93778 female 163.6 73.3
75 93779 female 138.9 31.7
76 93780 female 161.7 87.5
77 93781 male 154.9 61.0
78 93782 female 164.7 65.1
79 93783 female 156.9 59.9
80 93784 female 86.2 12.4
81 93785 female 155.0 73.7
82 93787 female 162.1 58.7
83 93788 female 169.5 112.8
84 93789 female 173.4 71.0
85 93790 female 103.3 15.9
86 93791 male 165.2 100.6
87 93792 female 160.4 48.7
88 93793 male 153.7 67.5
89 93794 female 157.1 59.1
90 93795 male 168.6 44.5
91 93796 male 176.6 97.4
92 93797 female 164.3 86.3
93 93798 female 173.0 85.4
94 93799 male 177.0 71.3
95 93800 female 162.8 60.2
96 93801 male 179.0 79.0
97 93802 female 90.8 15.4
98 93803 male 166.4 55.4
99 93804 male NA 12.0
100 93805 female 162.9 89.9
101 93806 male 176.1 88.2
102 93807 female 157.8 103.6
103 93808 male 186.1 97.1
104 93809 male NA 11.5
105 93810 male 166.7 80.6
106 93811 male 164.2 79.6
107 93812 male 174.8 94.9
108 93813 female 155.3 104.3
109 93814 female 168.9 79.3
110 93815 female 161.5 72.9
111 93816 female NA NA
112 93817 male 158.7 61.3
113 93818 male 176.0 87.6
114 93819 female 143.7 57.7
115 93820 female 162.7 72.6
116 93821 female 161.4 55.0
117 93822 female 113.0 24.8
118 93823 female 159.8 85.3
119 93824 female 159.4 72.2
120 93825 male 174.2 92.7
121 93827 female 161.9 52.3
122 93828 female 87.4 12.7
123 93829 female 161.4 82.5
124 93830 male 186.1 111.4
125 93831 male 171.9 74.9
126 93832 male 172.3 80.3
127 93833 male 126.3 23.4
128 93834 female 161.7 95.4
129 93836 female 163.9 52.5
130 93837 female 166.8 108.7
131 93838 male 126.4 40.1
132 93839 female 177.4 94.6
133 93840 male 180.7 78.3
134 93841 female 171.5 96.5
135 93842 male 84.8 10.6
136 93843 female 163.8 56.3
137 93844 male 125.0 38.7
138 93845 female 165.3 67.9
139 93846 female 165.9 54.6
140 93847 female 156.6 100.4
141 93848 male 171.1 85.0
142 93849 female 164.6 61.4
143 93850 female 155.6 65.3
144 93851 female 149.1 69.3
145 93852 female 171.0 79.6
146 93853 male 165.4 71.1
147 93854 male NA 8.6
148 93855 male 165.1 97.1
149 93856 male 176.9 134.0
150 93857 female 100.0 16.4
151 93858 female 147.3 36.2
152 93859 male 165.9 61.9
153 93861 male 176.2 98.1
154 93862 male 93.1 16.0
155 93863 male 172.9 94.4
156 93864 female 154.3 57.4
157 93865 male NA 7.8
158 93866 male 171.4 64.6
159 93867 female 86.4 13.2
160 93868 male 171.4 103.9
161 93869 male 176.7 71.6
162 93870 female 158.1 47.4
163 93871 female 158.8 54.0
164 93873 female 159.4 78.5
165 93874 female 127.2 21.4
166 93875 male 174.4 75.8
167 93876 male 150.9 56.6
168 93877 male 178.8 79.0
169 93878 female 162.5 63.6
170 93879 female 129.2 27.6
171 93880 female 118.7 22.7
172 93881 female 131.6 34.6
173 93883 female 164.7 114.5
174 93884 male 172.9 63.7
175 93885 male 137.1 29.4
176 93887 male 174.2 78.4
177 93888 female 167.6 59.7
178 93890 male 177.5 74.9
179 93891 female 145.4 94.2
180 93892 female 167.0 100.2
181 93893 male 178.0 89.4
182 93894 female 162.3 73.2
183 93895 male 181.9 112.8
184 93896 male 147.8 65.8
185 93897 female 149.0 58.7
186 93898 male 118.3 24.8
187 93899 male 174.5 91.5
188 93900 male 163.1 82.3
189 93901 female 155.3 62.3
190 93902 female 158.2 68.8
191 93903 male 166.3 89.0
192 93904 male 154.1 68.2
193 93905 male 172.4 57.2
194 93906 male 169.3 83.4
195 93907 female 173.7 80.6
196 93908 female 162.0 71.1
197 93909 male 165.9 68.2
198 93911 male 121.0 30.1
199 93912 female 160.2 170.0
200 93913 female 160.3 63.7
201 93914 male 176.6 107.9
202 93915 male 176.7 75.8
203 93916 male 168.5 70.2
204 93917 male 174.6 53.8
205 93918 male 192.9 114.6
206 93919 female 133.8 24.0
207 93920 female 154.2 49.6
208 93921 female 123.3 22.9
209 93922 male 147.9 49.3
210 93923 male 188.5 107.7
211 93924 female 151.8 58.9
212 93925 female 155.3 41.7
213 93926 male 172.1 106.9
214 93927 female 156.1 59.8
215 93928 male 166.4 37.5
216 93929 female 171.5 79.3
217 93930 male 168.1 84.1
218 93931 male 178.7 112.4
219 93932 female 158.6 78.7
220 93934 female NA 5.2
221 93935 male NA NA
222 93936 male NA 9.7
223 93937 male 175.1 99.8
224 93938 female 163.2 63.1
225 93939 female 153.3 67.7
226 93940 male 166.2 68.5
227 93941 male 167.6 79.5
228 93942 female 169.4 97.5
229 93944 female 89.7 12.9
230 93945 male 162.6 61.3
231 93946 male 169.2 62.0
232 93947 female 146.7 55.3
233 93948 male 160.5 45.1
234 93949 female 150.7 55.9
235 93950 male 159.5 88.8
236 93951 female NA 7.6
237 93952 female 161.7 98.8
238 93953 male 171.4 118.1
239 93954 male 167.7 65.1
240 93955 female NA NA
241 93957 female 166.5 80.7
242 93958 female 92.0 12.2
243 93959 female 171.0 74.5
244 93960 male 175.2 126.9
245 93962 male NA 8.1
246 93963 male 173.8 99.3
247 93964 male 172.0 85.5
248 93965 female 159.5 57.5
249 93966 male NA 4.0
250 93967 male NA 15.7
251 93968 male 171.8 77.1
252 93969 female 163.9 60.3
253 93970 male 166.4 69.6
254 93971 male 168.7 108.8
255 93972 male 186.3 102.8
256 93973 female 151.5 58.4
257 93974 male 181.8 96.8
258 93975 female 161.4 70.9
259 93976 female NA 8.1
260 93977 female 162.1 78.7
261 93978 male 168.0 59.8
262 93979 male 173.9 76.8
263 93980 female 173.8 58.0
264 93981 female 157.3 66.3
265 93982 female 171.4 60.1
266 93983 female 143.6 67.2
267 93984 female 160.7 81.9
268 93985 female 146.9 58.0
269 93986 female 117.9 21.3
270 93987 male 170.0 113.4
271 93988 female 163.6 49.0
272 93989 female 163.1 56.8
273 93990 female 158.4 93.6
274 93991 male 157.0 66.1
275 93992 female 153.5 41.2
276 93993 female 101.0 19.1
277 93994 female NA 5.0
278 93995 female 161.5 52.7
279 93996 male 102.7 20.1
280 93997 female 159.7 44.8
281 93998 female 159.1 51.5
282 93999 female 166.7 69.2
283 94001 female 158.6 51.6
284 94002 female 156.5 100.0
285 94003 female 158.2 64.1
286 94004 female 159.2 76.3
287 94005 male 129.8 36.2
288 94006 male 165.4 52.9
289 94007 male 162.3 62.9
290 94008 female 160.6 89.5
291 94009 female 155.0 48.5
292 94010 male 183.3 87.6
293 94011 female 118.7 23.7
294 94012 female 164.8 68.4
295 94013 male 174.5 68.1
296 94014 female 119.0 17.9
297 94015 female 159.8 67.0
298 94016 male 173.7 65.0
299 94017 male 170.5 92.5
300 94019 female 163.2 70.3
301 94020 male 92.6 14.4
302 94021 female 159.8 88.0
303 94022 female NA 10.8
304 94024 male 138.5 34.3
305 94025 female 103.9 16.2
306 94026 female 148.7 56.6
307 94027 male 165.9 77.9
308 94028 female 166.8 60.8
309 94029 female 166.2 68.9
310 94030 male 193.9 108.1
311 94031 male 173.9 78.2
312 94032 male 140.6 48.7
313 94033 female 159.7 74.4
314 94034 female 144.5 66.5
315 94035 female 160.6 78.3
316 94036 female 145.8 43.1
317 94037 male 167.7 74.3
318 94038 female 162.5 80.0
319 94039 male 169.0 84.4
320 94040 male 169.6 92.4
321 94041 female 167.2 62.8
322 94042 male 178.7 75.0
323 94043 male 167.5 62.2
324 94044 female 157.5 54.0
325 94045 male 168.5 74.2
326 94046 male 170.0 82.9
327 94047 female 162.3 93.7
328 94048 male 171.0 63.3
329 94049 female 143.7 121.2
330 94050 female 171.2 80.1
331 94051 female 155.3 70.1
332 94052 male 104.2 15.6
333 94053 female 156.6 91.9
334 94054 male 172.5 90.6
335 94055 male 165.2 56.5
336 94056 male 135.9 28.1
337 94057 female 161.5 84.0
338 94058 female 158.4 112.4
339 94059 female 145.4 65.8
340 94060 male 175.8 126.6
341 94061 female 154.2 78.3
342 94062 male 124.3 25.9
343 94063 male 88.1 14.0
344 94064 male 176.0 124.6
345 94065 female 151.4 62.7
346 94066 female NA 12.0
347 94067 male 166.0 98.6
348 94068 male 181.8 93.3
349 94069 male 183.5 105.5
350 94070 female 128.8 26.0
351 94071 male 169.2 76.0
352 94072 male NA 6.6
353 94073 male 166.8 97.2
354 94074 male 173.2 61.9
355 94075 male 135.9 41.7
356 94076 male 90.5 15.5
357 94078 female 173.4 78.9
358 94079 female NA 5.4
359 94080 female 163.2 59.4
360 94081 male 160.1 63.3
361 94082 female 158.1 55.7
362 94083 male 118.7 22.4
363 94084 female 148.8 64.3
364 94086 female 159.0 63.8
365 94087 male 185.2 83.4
366 94088 female NA 14.4
367 94089 female 149.6 57.3
368 94090 female 153.0 77.2
369 94091 male 147.4 40.7
370 94092 male 171.1 79.3
371 94093 male 189.1 123.0
372 94094 female 170.0 132.7
373 94095 female 151.7 66.7
374 94096 male 173.0 80.0
375 94097 female 160.1 91.5
376 94098 female 163.2 80.8
377 94099 female 155.2 83.1
378 94100 female NA 6.9
379 94101 female 158.0 74.2
380 94103 male 132.6 27.2
381 94104 female 123.9 28.9
382 94105 female 162.7 74.0
383 94106 male 180.3 74.7
384 94107 female 140.6 42.3
385 94108 male 165.0 71.9
386 94109 female 159.2 62.4
387 94110 male 93.9 13.4
388 94111 female 85.7 12.3
389 94112 male 162.5 74.0
390 94113 female 159.0 59.2
391 94114 male 187.9 60.8
392 94115 male NA 10.2
393 94116 female 167.4 70.2
394 94117 female 165.3 204.4
395 94118 female 163.7 71.7
396 94119 male 173.5 70.8
397 94121 female 160.6 63.3
398 94122 male 168.5 72.8
399 94124 male 173.0 83.1
400 94125 male 165.9 88.7
401 94126 female 155.0 80.7
402 94127 female 160.4 65.7
403 94128 male 180.0 124.1
404 94129 male 123.4 28.7
405 94130 female 163.7 70.9
406 94131 female 169.1 129.0
407 94132 male 174.5 65.5
408 94133 male 177.1 75.1
409 94134 female 156.2 70.1
410 94135 female 163.2 69.3
411 94136 male 140.4 31.4
412 94137 female 153.3 57.5
413 94138 female 152.9 58.8
414 94139 female 163.3 85.4
415 94140 male 169.4 97.6
416 94141 male 178.2 77.6
417 94142 male 113.9 17.7
418 94143 male 103.5 17.2
419 94144 male 173.5 122.6
420 94145 female 157.4 77.8
421 94146 female 88.9 14.4
422 94148 female 165.3 44.7
423 94149 male 167.3 88.3
424 94150 male 162.5 90.2
425 94151 male 173.1 83.7
426 94152 female 160.8 55.1
427 94153 male 151.1 33.1
428 94154 female 145.7 49.6
429 94155 male 178.0 120.5
430 94156 female 150.9 65.6
431 94157 female 148.4 40.4
432 94158 male 161.8 94.6
433 94159 female 151.0 52.9
434 94160 female 176.7 72.1
435 94161 male 177.3 68.7
436 94162 male 156.9 59.2
437 94163 male 177.4 77.3
438 94164 female 159.4 53.1
439 94165 female 142.1 34.7
440 94166 male 174.5 96.1
441 94167 male 168.7 49.7
442 94168 female 157.8 80.8
443 94169 male 170.4 75.2
444 94170 male 97.9 15.4
445 94171 male 139.8 38.9
446 94172 female 94.5 15.1
447 94173 female 153.1 78.7
448 94174 female 148.8 57.2
449 94175 male 170.4 75.9
450 94176 female 162.1 72.9
451 94177 female 145.7 54.9
452 94178 male 172.0 128.6
453 94179 male 166.3 137.5
454 94180 female 133.4 48.6
455 94181 female 156.4 77.7
456 94182 female 158.2 58.0
457 94183 male 186.1 154.1
458 94184 male 133.8 26.9
459 94185 male 99.4 17.8
460 94186 female 167.0 52.0
461 94187 female 144.7 62.0
462 94189 female 158.3 100.6
463 94190 male 175.3 78.9
464 94191 female 91.8 14.5
465 94192 female 154.0 99.1
466 94193 female 168.8 117.1
467 94194 female 132.5 27.4
468 94195 female 156.9 38.6
469 94196 female NA 5.1
470 94197 female 147.4 67.2
471 94198 female 155.4 68.7
472 94199 male 165.6 59.7
473 94200 female 155.4 91.3
474 94201 male 166.8 65.3
475 94202 male 189.9 132.6
476 94203 male 96.0 16.2
477 94205 female 153.5 87.7
478 94206 male 169.3 77.9
479 94207 male 166.7 85.6
480 94208 female 160.4 118.4
481 94209 female NA 8.7
482 94210 male 176.1 75.2
483 94211 female 162.8 49.4
484 94212 female 148.5 48.6
485 94214 female 159.6 56.4
486 94215 male NA 5.7
487 94216 female 162.0 79.2
488 94217 male 186.5 91.3
489 94218 female 113.6 18.1
490 94219 female 155.6 55.0
491 94220 female 165.3 72.7
492 94221 female 154.0 56.1
493 94222 male 90.3 13.1
494 94223 female 167.0 81.8
495 94224 male 175.4 110.9
496 94225 male 142.4 38.1
497 94226 male 130.2 27.8
498 94227 male 168.3 91.6
499 94228 female NA 8.7
500 94229 female 152.3 93.6
501 94230 male 162.9 59.1
502 94232 male 184.8 94.0
503 94233 male 175.9 76.4
504 94234 female 147.6 42.1
505 94235 female 164.0 63.2
506 94236 male 120.4 36.5
507 94237 male 183.7 123.0
508 94238 female 160.5 51.9
509 94241 female 151.6 69.1
510 94242 male 174.6 76.2
511 94243 male 170.0 81.6
512 94245 female 164.6 72.1
513 94246 male 166.7 78.9
514 94247 male 172.1 135.5
515 94248 female 161.8 83.9
516 94249 female 163.6 90.8
517 94250 female 166.7 117.7
518 94251 female 162.0 65.1
519 94252 male 171.3 137.4
520 94253 female 160.0 94.3
521 94254 female 132.3 40.7
522 94255 male 177.0 99.1
523 94256 female 136.7 30.7
524 94257 male 146.5 33.0
525 94258 male 182.6 95.6
526 94259 female 166.6 63.8
527 94260 female 147.0 74.6
528 94261 female 164.6 62.3
529 94262 male 183.3 65.1
530 94263 male 176.8 61.0
531 94264 female 123.3 25.6
532 94265 male 171.0 117.5
533 94266 male 159.1 67.7
534 94267 female 153.3 58.0
535 94268 male 170.2 58.7
536 94269 female 153.6 56.6
537 94270 male 162.1 65.4
538 94271 male 170.5 128.8
539 94272 male 177.9 78.4
540 94273 male 161.6 78.7
541 94274 female 173.3 98.8
542 94275 male 180.6 101.2
543 94276 male 153.7 57.7
544 94277 female 151.2 64.6
545 94278 male 162.9 68.5
546 94279 male 168.3 68.5
547 94280 female 143.3 38.6
548 94281 female 171.1 115.7
549 94282 female 163.6 81.4
550 94283 female 162.5 119.8
551 94284 female 172.7 77.4
552 94285 male 174.6 133.3
553 94286 female 165.0 63.4
554 94287 male 178.2 112.2
555 94290 female 154.5 79.5
556 94291 female 147.2 60.2
557 94292 female 162.7 55.2
558 94293 male 176.2 93.0
559 94294 female 152.5 70.0
560 94295 female 157.4 81.3
561 94296 female NA 11.5
562 94298 male 179.9 105.1
563 94299 female 165.5 67.3
564 94300 female 166.2 99.0
565 94301 female 151.7 59.8
566 94302 female 159.9 63.2
567 94303 male 179.7 67.9
568 94304 male 167.2 65.5
569 94305 female 152.2 60.4
570 94306 female 170.2 53.7
571 94307 female 147.2 37.5
572 94308 female 141.4 36.4
573 94309 female 165.1 86.2
574 94310 male NA NA
575 94311 female 173.1 85.7
576 94312 female 168.5 54.0
577 94313 male 182.0 157.9
578 94314 male 171.8 70.0
579 94315 female NA 6.0
580 94317 male 131.3 28.7
581 94318 female 101.1 15.3
582 94319 male 172.4 78.6
583 94320 male 179.3 64.2
584 94321 male 163.9 89.2
585 94322 male 159.6 74.0
586 94323 male 160.7 74.3
587 94324 female 159.0 79.4
588 94325 female 147.0 96.3
589 94326 male 169.6 95.9
590 94327 male NA NA
591 94328 female 156.1 46.7
592 94329 female 130.3 28.2
593 94330 female 154.5 89.0
594 94331 female 107.8 16.4
595 94333 male NA 11.6
596 94335 male 160.9 73.2
597 94336 male 166.6 78.5
598 94337 male 172.9 138.2
599 94338 female 119.1 30.2
600 94339 male 162.5 83.4
601 94340 male 187.7 121.1
602 94341 male 178.7 94.9
603 94342 female 160.3 89.0
604 94343 male 172.1 100.6
605 94344 female 124.6 24.3
606 94345 male 174.9 133.5
607 94346 male NA 8.2
608 94347 female NA 6.6
609 94348 male 175.6 123.9
610 94349 male 163.9 55.6
611 94350 male 171.4 83.6
612 94351 male 166.1 64.5
613 94352 female 163.5 76.8
614 94353 female 159.3 50.4
615 94354 female 145.0 55.4
616 94355 male 90.7 13.8
617 94356 male 182.1 91.3
618 94357 male 137.5 28.7
619 94358 male NA 9.5
620 94359 male 164.7 83.8
621 94360 male 178.9 101.5
622 94361 female 153.5 78.2
623 94362 male 157.9 69.4
624 94364 female 166.3 75.9
625 94365 male 164.1 54.5
626 94366 male 176.6 78.9
627 94367 female 131.4 24.7
628 94368 female 160.7 65.9
629 94369 male 91.6 12.6
630 94370 male NA 7.1
631 94371 female 145.8 53.5
632 94372 male 175.8 113.8
633 94373 female 158.8 64.6
634 94374 female 156.3 84.3
635 94375 female 159.7 55.4
636 94376 male 170.9 82.7
637 94377 male 181.7 165.1
638 94378 male 150.4 39.4
639 94379 female 157.9 71.8
640 94380 male 173.9 86.4
641 94381 female 163.4 74.0
642 94382 female 165.1 51.7
643 94383 female 114.1 26.3
644 94384 female NA 11.2
645 94385 female 165.6 72.5
646 94386 female 161.4 100.0
647 94387 female 163.5 131.9
648 94388 female 165.4 90.6
649 94389 male 100.8 15.6
650 94390 female 155.0 84.6
651 94391 male NA 11.6
652 94392 male 182.0 83.3
653 94393 male 166.4 81.5
654 94394 female 157.4 101.0
655 94395 male 170.6 96.6
656 94396 female 156.2 45.4
657 94397 male NA 5.3
658 94398 female 167.2 84.7
659 94399 female 152.1 79.9
660 94400 female 114.8 17.8
661 94401 male 162.8 67.5
662 94402 male 151.6 64.3
663 94403 female 115.0 19.4
664 94404 female 156.6 54.6
665 94405 female 159.1 78.6
666 94406 female 165.7 121.2
667 94407 female 161.5 81.7
668 94408 male 173.4 58.9
669 94409 male 173.8 59.0
670 94410 female 151.6 70.2
671 94411 male 175.3 58.6
672 94412 male 157.2 68.9
673 94413 male 174.6 79.1
674 94414 male 169.8 118.1
675 94415 male 168.0 65.3
676 94416 female 177.7 105.4
677 94417 female 95.4 14.6
678 94418 female 153.6 84.2
679 94419 female 135.5 27.6
680 94420 female 162.9 80.2
681 94421 female 143.6 53.0
682 94422 female 91.6 15.2
683 94423 male 167.0 61.0
684 94424 female 159.3 68.1
685 94425 female 157.7 74.9
686 94426 female NA 9.2
687 94427 female 155.2 89.8
688 94428 male 164.2 113.2
689 94429 male 178.5 126.0
690 94430 female 172.1 155.4
691 94431 male 171.7 163.0
692 94432 female 161.8 94.5
693 94433 male 180.5 118.1
694 94434 female 158.6 68.6
695 94435 male NA 10.6
696 94436 female 174.9 94.5
697 94437 male NA 13.1
698 94438 male 175.6 74.1
699 94439 female 117.0 20.8
700 94440 female NA 7.6
701 94441 male 169.0 61.2
702 94443 male 157.5 75.0
703 94444 female 173.6 123.5
704 94445 male 174.0 74.6
705 94446 female 165.7 87.4
706 94447 male 165.6 47.8
707 94448 male 175.8 105.1
708 94449 male NA 14.7
709 94450 male 179.6 105.1
710 94451 female 105.2 15.7
711 94453 female 166.4 85.8
712 94454 male NA 12.3
713 94455 female 144.0 38.6
714 94456 female 159.2 92.2
715 94457 female 164.6 67.7
716 94458 male 177.9 107.2
717 94459 female 160.6 130.0
718 94460 female 153.7 67.6
719 94461 female 156.1 65.7
720 94462 female 151.9 53.2
721 94463 female 162.1 111.9
722 94464 male 183.4 125.1
723 94465 male 185.4 106.2
724 94466 male NA 9.1
725 94467 female 161.6 56.3
726 94468 female NA 5.1
727 94469 female 163.3 103.3
728 94470 male 170.1 84.7
729 94471 female 161.3 76.5
730 94472 female 111.9 19.8
731 94473 female 162.4 81.1
732 94474 male 183.6 77.4
733 94475 female 141.5 37.5
734 94476 female 170.8 70.6
735 94477 female 151.7 39.4
736 94478 female 163.6 60.6
737 94479 female 155.5 79.7
738 94480 male 124.1 24.6
739 94481 female 162.0 86.9
740 94482 female 154.2 58.1
741 94483 female 160.1 80.3
742 94484 male 119.3 27.0
743 94485 female NA 9.3
744 94486 female 176.7 97.4
745 94487 male 179.2 96.9
746 94488 female 159.3 67.1
747 94489 female 112.2 19.8
748 94490 female 157.3 59.5
749 94491 female 165.3 109.4
750 94492 male 128.6 28.4
751 94493 male 168.2 78.4
752 94494 male 138.7 30.2
753 94495 female 98.1 14.5
754 94496 male 96.1 14.6
755 94497 male 168.6 82.1
756 94498 female 158.2 56.7
757 94499 male 160.6 57.7
758 94500 female 168.7 101.1
759 94501 female 162.8 93.5
760 94502 female 153.3 81.3
761 94503 female 173.6 57.9
762 94504 male 191.1 88.8
763 94505 male 124.1 31.1
764 94506 female 152.3 83.9
765 94507 male 167.6 127.4
766 94508 female 151.7 70.8
767 94509 female 168.2 74.5
768 94510 female 158.2 81.6
769 94511 male 128.6 37.2
770 94512 female 155.4 61.2
771 94513 male 92.1 13.5
772 94514 female 126.3 29.6
773 94515 female 148.3 98.0
774 94516 female 158.9 62.3
775 94517 male 169.0 84.2
776 94518 female NA 7.6
777 94519 male 178.3 94.2
778 94520 male 123.4 25.7
779 94521 male NA 8.8
780 94522 male 175.2 97.6
781 94523 female 158.2 66.2
782 94525 female 157.9 83.2
783 94526 male 180.7 104.2
784 94527 male 164.2 66.8
785 94528 male 162.3 159.6
786 94529 male 180.6 70.1
787 94530 male 157.7 64.9
788 94531 female 157.6 73.6
789 94532 female 155.1 72.6
790 94534 male 160.7 73.0
791 94536 male 153.8 51.1
792 94537 male 148.6 49.9
793 94538 male 164.8 69.7
794 94539 female 165.8 83.6
795 94540 female 155.4 46.9
796 94541 female 164.8 58.9
797 94542 male NA NA
798 94543 female 164.1 66.6
799 94544 female 161.8 56.3
800 94545 male 180.0 90.2
801 94546 female 164.0 66.1
802 94547 female 151.3 46.4
803 94548 male 101.1 16.2
804 94549 male 170.6 82.1
805 94550 female 163.1 62.3
806 94551 male NA NA
807 94552 female 156.4 59.5
808 94553 female 150.6 65.7
809 94554 male 174.2 81.8
810 94555 male 164.4 64.4
811 94556 male 116.1 20.0
812 94557 female 156.8 85.4
813 94558 female 147.7 51.4
814 94559 male 164.1 99.0
815 94560 female 171.1 104.9
816 94561 female 107.7 18.7
817 94562 male 184.3 58.4
818 94563 male 137.2 37.9
819 94564 female 154.6 60.0
820 94565 female 168.4 94.3
821 94567 male 176.8 81.3
822 94568 female 161.1 77.3
823 94569 female 152.7 58.7
824 94570 male 166.6 93.4
825 94571 female 167.4 71.6
826 94572 female 153.9 40.5
827 94573 female 153.5 63.5
828 94574 male 184.7 166.3
829 94575 female 161.4 54.9
830 94576 female 159.0 93.8
831 94577 female 175.9 60.7
832 94578 male 168.1 75.2
833 94579 male 171.7 82.1
834 94580 female 108.4 18.7
835 94582 male NA 10.9
836 94583 male 168.1 60.1
837 94584 male 149.0 36.7
838 94585 male 121.6 22.3
839 94586 female 165.1 54.6
840 94587 female 158.6 50.7
841 94588 male 130.7 25.9
842 94589 male 183.2 102.1
843 94590 female 146.8 73.5
844 94591 male 178.0 89.0
845 94592 female NA 8.3
846 94593 female NA 4.7
847 94594 female 163.5 119.0
848 94595 male 184.2 73.5
849 94596 male 175.8 74.6
850 94597 female 107.1 17.9
851 94599 female 111.0 21.4
852 94600 female 164.1 75.0
853 94601 female 176.9 107.7
854 94602 male 95.6 15.8
855 94603 female 115.7 28.0
856 94604 female 121.7 28.4
857 94605 male 170.6 92.5
858 94606 female 176.4 80.1
859 94607 male 183.4 100.1
860 94608 male 182.9 81.7
861 94609 female 161.9 65.1
862 94610 female 154.4 59.3
863 94611 female 153.2 58.0
864 94612 male 135.6 46.6
865 94613 female 157.6 42.8
866 94615 female 165.0 101.8
867 94616 male 162.2 99.7
868 94617 male 103.8 16.9
869 94618 male 176.5 101.8
870 94619 male 174.3 80.9
871 94620 female NA 7.3
872 94621 male 131.0 25.5
873 94622 male 102.1 17.2
874 94623 female 166.5 66.2
875 94624 male 159.4 65.3
876 94625 male 173.4 66.7
877 94626 male 180.7 90.5
878 94627 male 157.0 92.1
879 94628 male 81.3 9.9
880 94629 female 92.9 13.4
881 94630 male 183.9 146.1
882 94631 female 163.8 69.4
883 94632 female 165.8 76.6
884 94633 female 153.8 60.9
885 94634 female 152.5 58.9
886 94635 male 101.7 15.3
887 94636 male 133.4 45.8
888 94637 female 116.7 25.3
889 94638 male 177.8 104.1
890 94639 female 98.5 17.5
891 94640 female 151.5 73.0
892 94641 male 171.6 63.8
893 94642 female 160.3 92.8
894 94643 female 95.4 14.8
895 94644 male 176.4 58.9
896 94646 male NA NA
897 94647 female 163.3 60.7
898 94648 female 148.1 46.5
899 94649 male 174.3 104.7
900 94650 female 157.9 71.8
901 94651 female 155.5 99.2
902 94652 female 142.9 57.1
903 94654 female 164.0 71.0
904 94655 female 97.2 13.9
905 94656 female 121.7 22.0
906 94657 female 144.6 38.4
907 94658 female 125.3 33.6
908 94659 male 170.7 77.5
909 94660 female 157.4 81.0
910 94661 female NA NA
911 94662 male NA 7.3
912 94663 female 160.2 59.0
913 94664 male 165.5 59.4
914 94665 male NA 6.9
915 94666 female 176.8 98.6
916 94667 female 130.3 30.3
917 94668 male 127.7 23.6
918 94669 male 189.3 89.7
919 94670 male 169.9 83.9
920 94671 male 106.6 26.6
921 94672 female 157.4 88.5
922 94673 female 165.3 60.8
923 94674 male 167.5 60.3
924 94675 male NA 10.1
925 94676 male 171.2 76.0
926 94677 female 165.3 96.4
927 94678 female 171.9 71.4
928 94679 male 173.9 94.5
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930 94681 male 172.2 127.6
931 94682 female NA 10.0
932 94683 female NA 6.3
933 94684 female 164.7 79.2
934 94685 female 164.2 103.8
935 94686 female 172.5 76.2
936 94687 female 158.0 55.3
937 94688 male 168.9 90.5
938 94689 male 161.9 81.0
939 94690 female 85.8 10.5
940 94692 female 96.9 14.6
941 94693 male 175.3 112.5
942 94695 female 165.4 49.1
943 94696 female 158.4 55.6
944 94697 female 169.1 52.6
945 94698 female 159.7 52.3
946 94699 male 135.0 39.6
947 94700 male 147.7 45.9
948 94701 male 174.2 81.3
949 94702 female 168.1 68.6
950 94703 female 149.3 57.4
951 94704 female 168.5 69.9
952 94705 female 147.8 79.8
953 94706 female 161.6 70.8
954 94707 male 173.2 NA
955 94708 male 181.9 102.2
956 94709 male 119.9 27.2
957 94710 male 183.0 86.0
958 94711 female 159.6 105.4
959 94712 male NA 11.5
960 94713 female 159.4 68.2
961 94714 male NA 10.3
962 94715 female 100.8 16.8
963 94716 female 165.0 83.1
964 94717 female 123.8 30.4
965 94718 female 96.9 14.5
966 94719 female 159.8 81.1
967 94720 male 166.3 93.7
968 94721 male 171.7 131.6
969 94722 male 153.0 58.0
970 94723 female 174.3 59.1
971 94724 female 146.2 NA
972 94725 male 169.2 102.0
973 94726 female 169.0 84.0
974 94727 female 159.4 71.6
975 94728 female 102.3 16.9
976 94729 male 184.3 113.2
977 94730 female 153.0 63.8
978 94731 female 172.6 79.2
979 94732 female 176.3 84.9
980 94733 female 135.8 31.9
981 94734 male 130.6 25.3
982 94735 female NA NA
983 94736 male 167.4 71.8
984 94738 female 107.2 19.9
985 94739 male 175.9 84.1
986 94740 female 155.3 52.7
987 94741 female 96.2 14.9
988 94742 female 139.6 31.6
989 94743 female 159.7 70.7
990 94744 male 190.1 98.3
991 94745 male 179.2 100.4
992 94747 female 158.8 62.8
993 94748 female 160.8 63.3
994 94749 female 156.8 76.0
995 94750 male 160.4 88.6
996 94751 male 130.6 26.8
997 94752 male 173.4 77.9
998 94753 female 154.2 69.0
999 94754 female 155.6 84.7
1000 94755 female 148.3 73.6
1001 94757 male 177.0 52.2
1002 94759 male 107.1 16.9
1003 94760 female 160.1 50.4
1004 94761 male 164.3 74.4
1005 94763 male 187.4 125.3
1006 94764 female 169.5 119.3
1007 94765 male 172.0 77.4
1008 94766 male 176.7 103.2
1009 94767 male 171.3 141.9
1010 94768 male 168.4 98.3
1011 94770 male NA 10.1
1012 94771 female 164.9 69.3
1013 94772 male 177.7 53.7
1014 94773 male 166.7 85.6
1015 94774 female 157.7 53.9
1016 94775 female 159.3 81.1
1017 94776 male 167.4 71.3
1018 94777 female 155.5 54.8
1019 94778 female 141.4 33.3
1020 94779 male 171.4 87.7
1021 94780 male 165.4 82.4
1022 94781 female 129.7 26.9
1023 94782 female 162.6 51.3
1024 94783 female 157.8 58.7
1025 94784 male 93.2 14.6
1026 94785 male 165.0 72.5
1027 94786 female 164.7 86.7
1028 94787 male 173.2 79.8
1029 94788 female 158.2 53.8
1030 94789 female 127.2 27.1
1031 94790 male NA 3.9
1032 94792 male 164.0 66.1
1033 94793 male 167.8 92.6
1034 94794 female NA 8.9
1035 94795 female 160.0 53.8
1036 94796 male NA 8.2
1037 94797 female 153.3 60.0
1038 94799 female 155.9 63.5
1039 94800 male 115.7 21.3
1040 94801 male 176.4 96.1
1041 94802 male 166.4 86.4
1042 94804 male 164.0 55.1
1043 94805 male 176.4 129.8
1044 94806 male 161.1 76.2
1045 94807 male 161.9 65.4
1046 94808 female 163.5 86.7
1047 94809 female NA NA
1048 94810 male 184.1 71.9
1049 94811 male 175.2 89.1
1050 94812 male 168.0 77.9
1051 94813 female 153.5 62.8
1052 94814 female 147.6 41.3
1053 94815 male NA 9.5
1054 94816 female 161.4 45.7
1055 94819 female 153.0 56.1
1056 94820 female 156.4 73.0
1057 94821 male 185.5 95.8
1058 94822 female 152.7 54.5
1059 94823 female NA 13.1
1060 94824 male 85.8 12.9
1061 94825 female 124.3 24.1
1062 94826 female 166.3 82.5
1063 94827 female 132.9 27.0
1064 94828 male 88.7 18.3
1065 94829 female 145.6 64.0
1066 94830 female NA 4.8
1067 94831 female 167.0 56.7
1068 94832 female 160.1 74.4
1069 94833 female 166.7 56.9
1070 94834 female 157.1 89.0
1071 94835 female 162.5 85.1
1072 94836 female 156.1 74.4
1073 94837 female 154.0 54.5
1074 94839 female 105.0 18.5
1075 94840 female 161.3 55.4
1076 94841 female 157.5 53.9
1077 94842 female 152.5 73.2
1078 94843 female 107.3 20.1
1079 94844 male 177.0 87.1
1080 94845 male NA 5.8
1081 94846 male 104.3 17.7
1082 94847 female 165.8 115.5
1083 94848 female 160.0 74.2
1084 94849 female NA 10.0
1085 94850 male 165.1 57.7
1086 94851 female 140.4 36.5
1087 94852 male 173.6 108.0
1088 94853 male NA 14.6
1089 94854 female 154.1 69.5
1090 94855 male 168.7 54.7
1091 94856 female 159.0 58.8
1092 94857 female 171.7 138.1
1093 94858 female 161.0 100.5
1094 94859 female 159.2 106.3
1095 94860 female 168.7 106.0
1096 94861 female 151.9 86.8
1097 94862 female 163.3 52.3
1098 94863 male 167.8 92.6
1099 94864 male 171.9 58.2
1100 94865 female 151.0 62.3
1101 94867 male 185.1 109.2
1102 94868 male 187.0 129.0
1103 94869 male 90.7 16.2
1104 94870 male 166.0 55.2
1105 94872 male 178.5 72.3
1106 94873 male 172.5 134.9
1107 94874 male 165.6 65.3
1108 94875 male 176.7 77.5
1109 94876 female 150.3 49.2
1110 94877 male 171.9 106.1
1111 94878 female 171.5 95.6
1112 94879 female 175.1 99.1
1113 94881 male 165.5 46.2
1114 94882 female 158.3 60.6
1115 94883 male 186.0 85.0
1116 94884 female 124.1 24.2
1117 94885 male 182.2 121.9
1118 94886 male 171.6 75.0
1119 94887 male 162.2 85.2
1120 94888 male 147.9 41.0
1121 94889 female 148.5 82.2
1122 94890 male 171.5 74.1
1123 94891 female 162.5 71.8
1124 94892 male 184.3 65.2
1125 94893 female 165.0 88.3
1126 94894 male 181.3 126.5
1127 94895 female 173.5 48.5
1128 94896 female 165.3 93.5
1129 94897 female 101.9 22.1
1130 94898 female 153.9 96.2
1131 94899 female 161.0 81.5
1132 94900 male 157.3 52.4
1133 94901 female 158.5 52.1
1134 94902 female 152.1 50.3
1135 94903 male 185.4 131.9
1136 94904 male 117.3 24.9
1137 94905 female 161.0 51.3
1138 94906 male 164.4 74.8
1139 94907 female 151.3 74.5
1140 94908 female 171.1 112.4
1141 94909 male 180.4 105.4
1142 94910 male 176.4 68.3
1143 94911 male 141.6 39.4
1144 94912 male 139.6 38.7
1145 94913 female NA 6.4
1146 94914 female 149.5 66.9
1147 94915 female 150.0 39.2
1148 94916 female 161.1 86.0
1149 94917 male 142.7 36.7
1150 94918 male 180.7 109.2
1151 94919 male 111.8 21.0
1152 94920 female 152.5 87.8
1153 94921 female 151.1 63.7
1154 94922 male 169.8 66.8
1155 94923 female 172.3 135.5
1156 94924 female 158.1 79.3
1157 94925 female 142.9 33.3
1158 94926 male 171.8 64.2
1159 94927 female 154.4 101.9
1160 94928 male 136.7 43.8
1161 94929 male 170.5 67.7
1162 94930 female 155.9 117.0
1163 94931 female 161.7 84.9
1164 94933 female 159.1 103.2
1165 94934 female 152.4 40.1
1166 94935 female 163.6 77.2
1167 94936 female 156.5 87.0
1168 94937 male 178.0 65.0
1169 94938 male 154.1 75.4
1170 94939 male 185.5 71.6
1171 94940 female 149.3 75.2
1172 94941 male 179.2 107.5
1173 94942 male NA 7.7
1174 94943 female 116.2 19.1
1175 94944 female 158.6 97.1
1176 94945 male 181.3 127.3
1177 94946 male 188.5 127.0
1178 94947 male 121.5 20.5
1179 94948 male NA 8.9
1180 94949 male NA 5.5
1181 94950 female 141.4 43.5
1182 94951 female 148.2 42.0
1183 94952 female 155.6 92.4
1184 94953 female 155.3 125.5
1185 94954 male 171.7 76.7
1186 94956 female 157.1 38.6
1187 94957 male 175.3 101.3
1188 94958 female 155.1 50.9
1189 94959 male 174.0 94.4
1190 94960 male 186.5 73.9
1191 94961 male 171.5 96.0
1192 94962 female 157.2 49.2
1193 94964 male 161.3 76.6
1194 94965 female 169.7 77.1
1195 94966 male 184.8 93.8
1196 94967 female 163.5 93.0
1197 94968 male 195.0 82.4
1198 94969 male 182.4 98.6
1199 94970 male 168.4 82.1
1200 94971 female 142.7 37.9
1201 94972 female 171.6 90.6
1202 94974 male 109.9 18.3
1203 94975 male 161.9 62.8
1204 94976 male 168.5 49.7
1205 94977 female 159.0 76.1
1206 94978 female 106.2 15.8
1207 94979 male 165.8 104.8
1208 94980 female 156.7 64.6
1209 94981 male NA 5.5
1210 94982 female 168.3 58.9
1211 94983 female 165.6 48.3
1212 94984 male NA NA
1213 94986 male 158.7 88.8
1214 94987 female 163.3 130.9
1215 94989 male 175.9 77.7
1216 94990 male 179.0 95.9
1217 94991 male 194.5 96.5
1218 94992 male 88.2 12.3
1219 94993 female 144.4 53.4
1220 94994 female 147.0 59.3
1221 94995 male 170.0 84.2
1222 94997 female 159.1 49.6
1223 94998 male 175.9 84.6
1224 94999 female 98.5 16.2
1225 95000 female 150.6 76.7
1226 95001 female 160.3 77.8
1227 95002 male 170.8 84.2
1228 95004 male 185.8 93.9
1229 95005 male 170.8 131.4
1230 95006 male 146.5 37.6
1231 95007 male 162.1 64.1
1232 95008 female 145.3 52.5
1233 95009 male 170.9 69.9
1234 95011 female 162.0 98.0
1235 95012 female NA 12.6
1236 95013 male 178.7 106.5
1237 95014 male 177.1 105.2
1238 95015 female 111.5 18.8
1239 95016 male 175.5 105.0
1240 95017 male 113.9 20.6
1241 95019 male 178.3 77.2
1242 95020 female 147.6 56.8
1243 95021 female 112.9 19.0
1244 95022 female 162.3 54.1
1245 95023 male 146.2 45.1
1246 95024 male 176.2 80.7
1247 95025 male 183.7 126.1
1248 95026 male 185.1 83.0
1249 95027 female 149.3 50.3
1250 95028 male 178.5 96.9
1251 95029 female 165.5 90.2
1252 95030 male 173.9 75.9
1253 95031 female 169.1 125.3
1254 95032 female 152.6 34.5
1255 95033 female 154.7 57.5
1256 95034 female 158.3 59.4
1257 95035 male 188.4 148.0
1258 95036 male 181.8 121.1
1259 95037 female 163.9 70.5
1260 95038 female 123.3 29.7
1261 95039 female 160.3 56.8
1262 95040 female 168.5 143.6
1263 95041 female 144.1 50.5
1264 95042 female 153.9 75.8
1265 95043 male 164.8 60.4
1266 95044 female 158.9 101.0
1267 95045 female 162.3 75.2
1268 95046 female 163.7 69.3
1269 95047 male 187.4 109.7
1270 95048 male 176.8 82.7
1271 95049 male 92.0 14.3
1272 95050 male 128.5 25.4
1273 95051 male 184.1 159.2
1274 95052 female 165.3 86.8
1275 95053 male 170.9 74.3
1276 95054 female 164.7 83.8
1277 95055 male 182.3 180.8
1278 95056 female 171.3 120.7
1279 95057 male 171.4 85.0
1280 95058 female 160.4 163.2
1281 95059 male 177.9 104.6
1282 95060 female 144.9 51.0
1283 95061 male 172.4 75.2
1284 95062 male 164.7 65.1
1285 95063 female 168.2 83.4
1286 95064 male 167.5 70.3
1287 95066 female 158.0 55.9
1288 95067 female 161.1 132.9
1289 95068 female 158.3 65.8
1290 95069 male 172.9 72.9
1291 95070 male 173.0 112.5
1292 95071 female 149.2 62.6
1293 95072 female 167.3 50.1
1294 95073 female 163.3 115.7
1295 95074 female 163.0 72.6
1296 95075 male 157.1 36.8
1297 95077 male 173.1 75.0
1298 95078 female NA 9.9
1299 95079 male 102.9 17.6
1300 95080 male 164.3 83.7
1301 95081 male 142.5 37.1
1302 95083 male 171.3 125.9
1303 95084 male 105.2 18.1
1304 95085 female NA 8.3
1305 95086 male 127.7 28.3
1306 95087 female 122.9 27.9
1307 95088 female 148.9 73.3
1308 95089 female 173.0 98.2
1309 95090 male 171.1 104.5
1310 95091 male 167.5 67.9
1311 95092 male 146.8 37.2
1312 95093 female 163.9 77.6
1313 95094 female 143.3 58.4
1314 95095 female 151.5 79.1
1315 95096 male 179.9 119.5
1316 95097 female 161.4 71.2
1317 95098 male 177.7 110.9
1318 95099 female 150.6 44.8
1319 95100 female 164.8 56.3
1320 95101 female 159.6 74.5
1321 95102 female 156.5 71.0
1322 95103 male 179.2 92.7
1323 95104 male 92.3 15.3
1324 95105 male 171.8 84.4
1325 95106 male 166.0 59.3
1326 95107 female 119.4 20.9
1327 95108 male 149.3 35.2
1328 95109 female 95.0 12.4
1329 95110 female 161.1 72.5
1330 95111 male 162.6 84.4
1331 95112 female 155.8 75.9
1332 95113 female 160.7 84.3
1333 95114 male 170.1 103.3
1334 95115 female 157.1 51.5
1335 95116 male 171.7 55.8
1336 95117 female 126.1 34.1
1337 95118 male 170.0 76.0
1338 95120 male 130.2 26.5
1339 95121 female 150.6 69.6
1340 95122 female 122.3 19.7
1341 95123 female 152.8 82.1
1342 95124 male 176.6 52.5
1343 95125 male 113.4 16.4
1344 95126 female 159.1 70.8
1345 95127 male 172.3 64.6
1346 95128 female 151.1 77.4
1347 95129 male 163.6 150.6
1348 95130 female NA 13.4
1349 95131 male 178.0 79.7
1350 95132 female 130.8 33.5
1351 95133 male 115.0 21.4
1352 95134 male 172.3 80.5
1353 95135 male NA NA
1354 95136 female 133.5 29.2
1355 95137 female 169.1 63.2
1356 95138 female 153.1 49.2
1357 95140 female 163.0 79.2
1358 95142 male 100.1 16.2
1359 95143 female 154.2 51.2
1360 95145 female 110.8 18.8
1361 95146 female 138.3 31.5
1362 95147 female 78.3 9.9
1363 95148 female 161.5 92.3
1364 95149 female 153.0 105.1
1365 95150 male 157.0 58.3
1366 95151 female 153.7 81.6
1367 95152 male 175.2 81.6
1368 95153 female 158.4 108.8
1369 95154 female 139.0 35.5
1370 95155 male 165.1 67.8
1371 95156 female 93.4 13.5
1372 95157 male 169.3 82.8
1373 95158 female 156.5 47.9
1374 95159 female 152.9 56.0
1375 95160 female 172.4 86.2
1376 95161 female 159.4 50.8
1377 95162 male 185.3 82.3
1378 95163 male 169.4 77.7
1379 95164 male NA 14.2
1380 95165 female 161.3 71.5
1381 95166 female NA 8.1
1382 95167 female 154.7 42.2
1383 95168 female 172.8 73.8
1384 95169 female 145.4 54.8
1385 95170 female 163.4 90.9
1386 95171 female 168.5 114.0
1387 95172 female 155.1 64.0
1388 95173 male 170.5 109.3
1389 95174 female 158.2 73.7
1390 95175 male NA 10.7
1391 95176 female 145.1 55.7
1392 95177 female 155.0 57.1
1393 95178 male NA 15.4
1394 95179 female 161.6 122.7
1395 95180 male 106.7 19.1
1396 95181 male 178.7 68.0
1397 95182 male 172.8 103.6
1398 95183 female 157.4 54.8
1399 95184 female 158.4 73.8
1400 95185 male 170.3 54.0
1401 95186 female 158.4 68.3
1402 95187 male 144.1 49.9
1403 95188 female 149.8 40.0
1404 95189 male 169.4 103.3
1405 95190 female 155.9 46.1
1406 95191 female 143.7 72.8
1407 95192 male 170.6 62.2
1408 95193 male 142.7 47.6
1409 95194 male 173.8 80.3
1410 95195 female 169.1 124.9
1411 95196 female NA 12.1
1412 95197 male 178.7 116.4
1413 95198 female 163.5 99.7
1414 95199 female 161.8 101.0
1415 95200 female 153.3 58.9
1416 95201 female 155.2 54.4
1417 95202 female 173.5 75.6
1418 95203 male 178.4 80.8
1419 95204 female 152.4 49.5
1420 95205 female NA 9.4
1421 95206 male 165.8 52.9
1422 95207 female 163.1 69.9
1423 95208 male 171.4 76.7
1424 95209 female 170.0 71.0
1425 95210 female 174.9 86.0
1426 95211 female 151.8 45.6
1427 95212 male 103.0 18.1
1428 95213 male 170.8 69.4
1429 95214 male 172.1 77.8
1430 95215 female 163.8 99.5
1431 95216 male 172.0 76.6
1432 95217 female 98.7 15.5
1433 95218 female 161.4 53.1
1434 95219 male 127.7 36.3
1435 95220 female 154.2 69.7
1436 95221 female 156.8 59.5
1437 95222 female 154.7 84.2
1438 95223 female 168.7 60.9
1439 95224 male 166.4 67.9
1440 95225 female 138.3 26.7
1441 95226 male 138.3 37.8
1442 95227 male 175.8 83.0
1443 95228 male 175.8 80.0
1444 95229 female NA 8.1
1445 95230 male NA 10.0
1446 95231 male 180.4 93.3
1447 95232 female 147.7 77.7
1448 95233 female 157.5 94.8
1449 95235 male 97.3 14.9
1450 95236 female 150.5 54.2
1451 95237 male 177.1 70.9
1452 95238 male 177.2 86.1
1453 95239 female 155.9 74.6
1454 95240 female NA 11.8
1455 95242 female 152.8 65.6
1456 95243 female 153.9 72.1
1457 95244 female 164.5 75.2
1458 95245 male 127.6 31.9
1459 95246 female NA 10.8
1460 95247 female 157.9 90.0
1461 95248 female NA 8.2
1462 95249 female 164.8 91.7
1463 95250 male 169.1 82.4
1464 95251 female 162.0 106.6
1465 95252 male 191.3 103.2
1466 95253 male 134.6 26.3
1467 95254 female 85.6 12.5
1468 95255 female 161.7 69.1
1469 95256 female 157.6 65.8
1470 95257 female 157.5 66.7
1471 95258 male 172.9 111.8
1472 95259 male 173.2 67.0
1473 95260 male 176.9 75.6
1474 95261 female 158.8 120.4
1475 95262 female 165.8 79.9
1476 95263 male NA 9.9
1477 95264 female 160.1 53.4
1478 95265 female 154.5 NA
1479 95266 female 160.5 88.8
1480 95267 male NA 9.1
1481 95268 male 177.5 95.3
1482 95269 male 177.0 55.4
1483 95270 male 126.5 24.1
1484 95271 male NA 7.0
1485 95272 female 148.5 43.9
1486 95273 male 180.9 101.2
1487 95274 female 162.9 115.8
1488 95275 female 160.9 55.4
1489 95276 male 180.1 104.6
1490 95277 male NA 11.0
1491 95278 female 168.1 93.7
1492 95279 male 174.4 73.1
1493 95280 female 153.5 73.1
1494 95281 female 164.6 90.6
1495 95282 male 122.8 23.7
1496 95283 male 175.9 74.7
1497 95284 female 153.9 87.3
1498 95285 female 115.3 25.0
1499 95286 female 155.6 47.8
1500 95287 female 162.4 54.8
1501 95288 male 168.4 83.8
1502 95289 female 147.6 70.8
1503 95290 female 114.3 19.8
1504 95291 male 107.9 16.0
1505 95292 male 136.8 28.1
1506 95293 male 165.6 64.5
1507 95294 female NA 12.3
1508 95295 male 114.4 17.4
1509 95296 male 168.8 78.2
1510 95297 male 172.8 65.7
1511 95298 male 173.1 79.7
1512 95299 female 124.9 23.8
1513 95302 female 146.5 62.8
1514 95303 male 165.1 98.3
1515 95304 male 86.8 11.8
1516 95305 female 157.1 64.4
1517 95306 male 97.4 16.6
1518 95307 male 177.1 83.0
1519 95308 female 166.2 75.8
1520 95309 female 107.1 18.8
1521 95310 male 172.9 96.8
1522 95311 female 150.5 76.2
1523 95312 male 168.3 82.8
1524 95313 female 159.6 60.1
1525 95314 male 144.0 35.9
1526 95315 female 155.6 109.0
1527 95316 male 183.0 139.9
1528 95317 female 105.6 17.6
1529 95318 female 165.5 98.2
1530 95319 female 152.7 68.5
1531 95320 male NA NA
1532 95321 male 176.5 91.6
1533 95323 male 177.8 64.6
1534 95324 male 179.8 84.7
1535 95325 male 167.7 74.6
1536 95326 male 178.0 91.7
1537 95328 female 152.1 54.7
1538 95329 male 166.9 68.3
1539 95330 female 175.1 76.9
1540 95331 female 141.8 49.4
1541 95332 female 147.2 62.1
1542 95333 male 167.7 87.2
1543 95334 female 159.9 82.6
1544 95336 female 132.1 37.3
1545 95337 female 157.6 70.4
1546 95338 male 173.0 79.9
1547 95341 female NA 3.8
1548 95342 female 163.7 57.9
1549 95344 male 149.4 39.3
1550 95345 female 162.0 46.4
1551 95346 female 157.9 74.8
1552 95348 female 163.8 89.4
1553 95349 male NA NA
1554 95350 female 174.6 113.7
1555 95351 female 155.2 76.8
1556 95352 female 162.8 59.2
1557 95353 female 166.4 100.1
1558 95354 male 133.8 25.5
1559 95355 male 165.6 57.5
1560 95356 male 160.2 63.4
1561 95357 female 157.4 89.4
1562 95358 female 155.3 93.4
1563 95359 male 86.8 10.0
1564 95360 male 166.3 70.6
1565 95361 male 166.2 97.1
1566 95362 female 150.9 57.0
1567 95363 male NA NA
1568 95364 male 170.7 89.8
1569 95365 female NA 9.7
1570 95366 female 158.4 123.3
1571 95367 female 155.4 99.4
1572 95368 female NA 9.8
1573 95369 female 168.0 58.3
1574 95370 male 116.2 35.3
1575 95371 male 126.5 35.5
1576 95372 male 179.5 104.0
1577 95373 male 171.7 88.1
1578 95374 male 161.4 64.3
1579 95375 male 169.4 75.4
1580 95376 male 131.9 29.0
1581 95377 male 178.2 107.3
1582 95378 female 163.2 44.6
1583 95379 male 172.7 54.2
1584 95380 male 177.7 88.4
1585 95381 female 170.7 60.3
1586 95382 male 166.8 88.8
1587 95383 female 102.2 15.8
1588 95384 female NA 6.5
1589 95385 female 168.3 68.9
1590 95387 male 179.3 138.7
1591 95388 male 160.4 106.2
1592 95389 male 174.3 76.8
1593 95391 female 145.5 55.8
1594 95392 male 170.5 100.1
1595 95393 female 154.6 81.8
1596 95394 male 170.8 84.5
1597 95395 female 150.6 37.9
1598 95396 female 163.2 48.5
1599 95397 male 176.2 88.1
1600 95398 male 96.7 14.9
1601 95399 female 163.2 44.6
1602 95400 female 113.0 27.0
1603 95401 female 147.4 41.8
1604 95402 male 194.0 117.1
1605 95403 female 158.8 60.3
1606 95405 male 151.7 58.3
1607 95406 male 167.7 78.2
1608 95407 female NA 11.3
1609 95408 female 133.0 38.5
1610 95409 female 122.7 24.4
1611 95410 male 169.0 70.9
1612 95411 male 175.8 166.0
1613 95412 male 179.4 108.0
1614 95413 female 174.1 86.7
1615 95414 male 175.9 91.0
1616 95415 female 153.9 53.1
1617 95416 female 162.3 51.1
1618 95417 male 166.2 94.8
1619 95418 male 180.9 85.9
1620 95419 male 168.4 71.5
1621 95420 female 150.8 57.7
1622 95421 male 165.0 88.7
1623 95422 female 170.8 95.2
1624 95423 female 165.5 72.1
1625 95424 male 187.9 119.5
1626 95425 male 174.2 67.7
1627 95426 male NA 3.8
1628 95427 male 173.6 77.3
1629 95428 male NA 6.0
1630 95429 female 155.3 71.7
1631 95430 male 97.9 15.2
1632 95431 female 161.2 160.1
1633 95432 female 163.5 103.3
1634 95433 female 158.8 44.6
1635 95434 female 146.9 59.8
1636 95435 female 161.7 78.1
1637 95436 female 156.5 58.8
1638 95437 male 168.6 79.6
1639 95441 male NA 6.3
1640 95442 female 173.8 76.2
1641 95443 female NA 6.8
1642 95444 female 154.1 59.4
1643 95445 female 162.1 65.1
1644 95446 male 168.5 73.5
1645 95447 female 160.1 91.7
1646 95448 male 165.4 87.5
1647 95449 male 166.9 86.4
1648 95450 male 176.4 65.8
1649 95451 female 101.1 18.4
1650 95452 male 170.8 116.3
1651 95453 male 167.2 79.1
1652 95454 male 172.6 86.9
1653 95455 male 162.7 88.8
1654 95456 male 128.2 26.1
1655 95457 female 158.4 112.3
1656 95458 male 144.9 38.9
1657 95459 male 174.3 70.6
1658 95460 female 161.3 72.5
1659 95461 female 117.4 18.6
1660 95462 female 101.8 14.6
1661 95463 male 167.9 98.7
1662 95464 female 103.5 17.4
1663 95465 female 150.0 72.6
1664 95466 male 182.0 101.3
1665 95467 female 151.6 59.5
1666 95468 male 181.9 83.6
1667 95469 male 177.0 58.6
1668 95470 male 99.5 23.3
1669 95471 male 165.5 63.0
1670 95472 male 172.6 83.4
1671 95473 male 184.1 74.2
1672 95474 female 159.7 103.2
1673 95475 female 138.1 27.1
1674 95476 male 133.5 27.5
1675 95477 female 162.6 46.1
1676 95478 male 153.0 47.1
1677 95479 female 163.5 60.2
1678 95480 male 170.9 79.8
1679 95481 male 172.4 66.8
1680 95482 female 154.2 49.1
1681 95483 female NA 9.4
1682 95484 male 171.3 77.3
1683 95485 male 175.6 67.9
1684 95486 female 167.9 84.0
1685 95487 male 177.9 62.2
1686 95488 female 163.0 101.1
1687 95489 female 133.5 32.0
1688 95490 male 173.0 82.6
1689 95491 male 88.5 11.8
1690 95492 female 156.4 98.8
1691 95493 male 164.6 87.1
1692 95494 female 163.5 64.0
1693 95495 male 166.6 81.3
1694 95496 female 149.3 37.2
1695 95497 male 120.1 21.9
1696 95499 male 181.9 100.7
1697 95500 female 165.1 114.6
1698 95501 female 159.8 98.3
1699 95502 male NA 11.8
1700 95503 male 174.6 128.3
1701 95504 female 155.9 135.0
1702 95505 male 171.0 69.4
1703 95506 male 165.7 76.7
1704 95507 male 97.2 14.8
1705 95508 male 193.1 94.4
1706 95509 female 165.2 76.5
1707 95510 female 154.2 56.7
1708 95513 female 105.8 16.6
1709 95514 male 175.5 87.8
1710 95515 male 190.0 121.1
1711 95516 male 172.2 60.0
1712 95518 male 177.9 101.7
1713 95519 female 158.9 76.2
1714 95520 female 95.9 14.9
1715 95521 male 164.5 58.3
1716 95522 female 164.6 76.5
1717 95523 female 133.4 29.8
1718 95524 female 143.9 57.5
1719 95525 female 168.1 76.2
1720 95526 female 154.1 74.5
1721 95527 male 170.1 82.5
1722 95528 female 166.3 71.1
1723 95530 male NA 9.1
1724 95531 male 177.6 98.7
1725 95533 male 166.9 84.6
1726 95534 female 158.7 86.4
1727 95535 male 189.6 145.7
1728 95536 male 160.2 45.1
1729 95537 male 166.5 80.5
1730 95538 male NA 18.3
1731 95539 male 181.1 88.0
1732 95540 male 155.0 71.7
1733 95541 female 160.5 106.2
1734 95542 female 158.0 69.6
1735 95543 female 157.7 60.1
1736 95544 male 178.1 110.6
1737 95545 male 163.0 44.0
1738 95546 male 163.1 54.3
1739 95547 male 172.1 70.6
1740 95548 male 179.3 60.4
1741 95549 female 155.3 97.9
1742 95550 male 178.1 97.5
1743 95551 female 138.3 50.4
1744 95552 male 114.1 19.6
1745 95553 male 189.4 98.0
1746 95554 male 131.4 25.7
1747 95555 male 180.0 109.2
1748 95556 male 182.8 84.3
1749 95557 female 159.7 55.1
1750 95559 female 158.9 75.5
1751 95560 male NA 11.2
1752 95561 male 171.9 113.6
1753 95562 female NA 9.8
1754 95563 female 173.0 70.1
1755 95564 male 146.5 45.1
1756 95565 male 171.3 78.9
1757 95566 female 166.8 110.4
1758 95567 male NA 12.6
1759 95568 female 166.0 45.4
1760 95569 female 160.6 78.2
1761 95570 female 84.1 10.5
1762 95571 female 161.4 72.3
1763 95572 male 168.9 76.0
1764 95573 male 176.1 98.3
1765 95574 female 176.5 97.2
1766 95575 male 178.1 65.9
1767 95576 female 155.8 66.3
1768 95577 female 156.1 72.5
1769 95578 female 153.4 53.3
1770 95579 male NA NA
1771 95580 male NA NA
1772 95581 female 148.8 58.4
1773 95582 female 160.8 70.6
1774 95583 female 157.8 62.6
1775 95584 male 136.9 26.9
1776 95585 male 180.9 97.1
1777 95586 female 161.2 51.0
1778 95587 female 170.6 104.4
1779 95588 male 168.7 53.9
1780 95589 female 159.9 66.7
1781 95590 male 170.6 81.0
1782 95591 female 150.3 47.5
1783 95592 female 167.3 83.8
1784 95593 male 185.3 79.6
1785 95594 male 176.6 99.5
1786 95595 female 163.0 135.6
1787 95596 male 159.3 63.3
1788 95597 male 175.4 101.4
1789 95598 male 174.1 87.7
1790 95599 male 186.0 118.6
1791 95600 male NA NA
1792 95601 male 168.8 100.7
1793 95602 male 168.1 92.9
1794 95603 male 102.8 15.0
1795 95604 male 169.7 74.9
1796 95605 male 95.4 14.7
1797 95606 male 184.8 108.4
1798 95607 male 170.0 69.0
1799 95608 male 172.8 77.9
1800 95609 female 155.0 78.1
1801 95610 female 151.6 68.1
1802 95611 male 177.2 58.3
1803 95612 male 181.0 103.3
1804 95613 male 134.3 29.6
1805 95614 female 85.5 12.3
1806 95615 male 167.1 73.1
1807 95616 female 159.7 73.2
1808 95617 male 175.5 91.9
1809 95618 female 167.4 83.7
1810 95619 female 173.4 54.8
1811 95620 female 117.6 20.8
1812 95621 male 163.7 68.1
1813 95622 female 167.4 57.9
1814 95623 female 152.7 53.8
1815 95624 male NA 5.0
1816 95625 male 177.2 69.8
1817 95626 male 159.0 87.1
1818 95628 female 166.2 55.0
1819 95629 female NA NA
1820 95630 female 159.3 95.3
1821 95631 male 152.2 44.4
1822 95632 male NA 11.2
1823 95633 female 157.9 72.9
1824 95634 male 181.6 62.2
1825 95635 male 126.2 33.0
1826 95636 female 151.6 64.7
1827 95637 male 171.3 99.9
1828 95638 male 153.9 39.6
1829 95639 male 169.4 72.3
1830 95640 male 176.8 68.5
1831 95641 female 165.0 131.8
1832 95642 female 161.9 99.0
1833 95643 male 179.5 59.2
1834 95644 female 154.3 79.4
1835 95645 female 150.1 56.4
1836 95646 male NA 6.5
1837 95647 female 136.2 32.9
1838 95648 male 177.2 86.9
1839 95649 male 167.1 87.3
1840 95650 female 91.0 13.2
1841 95651 male NA 89.5
1842 95652 female 159.7 58.6
1843 95653 male 108.6 17.3
1844 95654 male 164.6 76.9
1845 95655 male 183.6 105.1
1846 95656 male 167.2 89.6
1847 95657 male 190.9 78.6
1848 95658 male 188.4 98.6
1849 95659 male 180.0 86.2
1850 95660 male 131.4 27.4
1851 95662 female 151.2 65.2
1852 95663 male 176.3 86.9
1853 95664 male 188.0 105.5
1854 95665 male 175.7 84.9
1855 95666 male 170.7 124.1
1856 95667 male 100.1 17.6
1857 95668 female 165.6 85.6
1858 95669 female 161.3 71.4
1859 95670 female 96.9 13.6
1860 95671 female 151.8 70.9
1861 95672 male 183.5 104.5
1862 95673 male 166.2 75.0
1863 95674 male 185.4 89.7
1864 95675 male 167.6 85.3
1865 95676 male 168.9 90.3
1866 95677 male 136.2 42.8
1867 95678 male 173.1 85.5
1868 95679 male 177.1 56.3
1869 95680 female 151.0 72.5
1870 95681 female 155.9 64.7
1871 95682 male 100.9 17.9
1872 95683 female NA 8.8
1873 95684 male 164.7 75.2
1874 95685 male 170.4 130.3
1875 95686 male 168.9 91.1
1876 95687 male 173.6 74.2
1877 95688 female 129.7 29.3
1878 95689 female 176.6 112.2
1879 95690 male 169.4 75.1
1880 95691 male NA 5.9
1881 95692 female 153.3 51.4
1882 95693 female 87.3 13.5
1883 95694 female 153.5 69.6
1884 95695 male NA 6.6
1885 95696 male 159.1 60.5
1886 95697 female NA 4.3
1887 95698 female 151.6 78.0
1888 95699 female 160.8 64.7
1889 95700 female 148.8 70.5
1890 95701 male 132.7 25.6
1891 95702 female 157.5 52.3
1892 95703 female 180.4 111.7
1893 95704 male 163.1 70.1
1894 95705 male 179.8 65.1
1895 95706 female 123.5 23.4
1896 95707 female 103.5 16.7
1897 95708 male 185.5 109.7
1898 95709 male 153.4 58.1
1899 95710 male 174.8 102.0
1900 95711 male 158.9 69.4
1901 95712 female 147.7 52.1
1902 95713 male 181.0 110.5
1903 95714 female 163.5 131.8
1904 95715 female 153.8 57.7
1905 95716 female 153.7 64.0
1906 95717 male 177.1 83.3
1907 95718 male 172.5 79.9
1908 95719 male 173.0 61.5
1909 95720 female 167.8 61.7
1910 95721 female 147.2 43.2
1911 95722 male 164.6 88.9
1912 95723 female 152.9 69.3
1913 95724 female 103.9 15.6
1914 95725 male 184.1 146.3
1915 95726 female 167.5 68.6
1916 95727 male 161.5 65.2
1917 95728 male NA 14.5
1918 95729 female 148.8 102.4
1919 95730 female NA 6.3
1920 95731 female 153.5 64.7
1921 95732 female 149.1 50.9
1922 95733 male 185.1 53.7
1923 95734 female 159.1 81.0
1924 95735 male 137.2 27.3
1925 95736 male 188.2 76.3
1926 95737 male NA 9.3
1927 95738 female 166.8 104.8
1928 95739 male 126.3 28.0
1929 95740 male 113.5 20.5
1930 95741 female 163.2 64.3
1931 95742 male 136.5 28.2
1932 95743 female NA NA
1933 95744 female 160.1 66.7
1934 95745 female 164.1 90.6
1935 95746 male 122.6 25.3
1936 95747 male 137.2 35.5
1937 95748 male 180.9 89.6
1938 95749 male 157.1 48.8
1939 95750 female 111.2 23.4
1940 95751 male 109.1 21.2
1941 95752 male 168.1 65.7
1942 95753 female NA 7.8
1943 95754 male 176.1 113.0
1944 95755 female 162.9 55.6
1945 95756 male 175.6 60.7
1946 95757 male 168.8 94.3
1947 95758 male 174.5 66.9
1948 95759 female 147.6 98.2
1949 95760 male 178.5 83.3
1950 95761 male 162.1 63.1
1951 95762 male 183.6 94.0
1952 95763 male 169.8 86.3
1953 95764 male 127.3 28.5
1954 95765 male 157.7 62.4
1955 95766 female 163.9 92.6
1956 95767 male 171.7 160.9
1957 95768 male 163.5 66.9
1958 95769 male 182.6 117.9
1959 95770 male 171.6 117.1
1960 95771 female 163.7 103.4
1961 95772 female 157.1 67.7
1962 95773 female 161.7 95.5
1963 95774 male 134.0 38.7
1964 95775 female 155.3 68.5
1965 95776 male 160.7 37.6
1966 95777 female 161.1 69.7
1967 95778 female 167.5 62.9
1968 95780 female 151.4 63.9
1969 95781 female 101.7 17.1
1970 95782 male 162.6 41.2
1971 95783 male 169.4 57.9
1972 95784 female 112.3 20.7
1973 95785 male 172.9 73.9
1974 95786 female 114.0 19.8
1975 95787 male 180.1 119.4
1976 95788 female 163.9 72.9
1977 95789 female 166.0 78.6
1978 95791 male 160.5 92.2
1979 95792 male 172.5 85.3
1980 95793 female 150.7 42.4
1981 95794 male 170.9 70.2
1982 95796 male 111.8 17.4
1983 95797 male 105.0 16.9
1984 95798 female 159.4 80.7
1985 95799 female 168.0 69.9
1986 95800 male 97.2 14.9
1987 95801 male 141.1 36.3
1988 95802 male 173.1 78.6
1989 95803 male 180.0 100.8
1990 95804 male NA 4.9
1991 95805 male 126.0 33.5
1992 95806 female 141.6 38.9
1993 95807 female 161.4 118.4
1994 95808 female 163.9 69.3
1995 95809 female 157.0 81.6
1996 95810 male 83.3 9.5
1997 95811 female 151.0 39.3
1998 95812 female 171.6 71.7
1999 95813 male 152.5 53.6
2000 95814 male 172.6 117.3
2001 95815 male 103.0 16.0
2002 95816 female 181.8 73.1
2003 95817 male 162.0 47.2
2004 95818 male 165.9 50.9
2005 95819 male 180.1 115.2
2006 95820 male 176.2 130.5
2007 95821 female 162.3 59.1
2008 95822 male 175.6 72.3
2009 95823 female 149.4 57.7
2010 95824 male 175.8 98.3
2011 95825 female 152.5 76.1
2012 95826 male 150.5 61.3
2013 95827 male 176.8 79.7
2014 95828 male 169.3 82.0
2015 95829 male 171.9 78.8
2016 95830 female 118.1 24.3
2017 95831 female 159.3 83.3
2018 95833 male 166.2 81.1
2019 95834 female 159.5 57.0
2020 95835 female 157.3 76.8
2021 95836 female 164.8 107.1
2022 95837 male 93.0 14.9
2023 95838 male 167.8 99.0
2024 95839 male 179.8 93.8
2025 95840 male 129.8 24.1
2026 95841 male 174.0 99.7
2027 95842 male 125.1 36.0
2028 95843 male 169.5 76.8
2029 95844 female 150.7 65.5
2030 95846 male 171.7 68.5
2031 95847 female NA 8.3
2032 95848 female 156.5 57.1
2033 95849 female 163.2 65.1
2034 95850 female 163.4 107.9
2035 95851 male 165.5 85.0
2036 95852 female NA NA
2037 95853 female 157.5 104.9
2038 95854 male 185.7 133.7
2039 95855 female NA NA
2040 95856 male 117.6 23.8
2041 95857 male 174.4 64.1
2042 95858 male 176.5 86.3
2043 95859 female 164.8 49.9
2044 95860 female 162.4 53.8
2045 95861 female 132.7 33.9
2046 95862 male 157.6 48.9
2047 95863 female 159.2 90.8
2048 95864 male 156.6 52.7
2049 95865 female 161.2 99.3
2050 95866 female 160.7 69.1
2051 95867 female 161.4 126.1
2052 95868 male 177.9 92.6
2053 95869 male 185.1 90.2
2054 95870 female 168.7 104.6
2055 95871 female 113.9 17.7
2056 95872 female NA 8.8
2057 95873 male 165.8 77.3
2058 95874 female 160.4 84.9
2059 95875 female 161.9 93.5
2060 95876 female 122.5 22.4
2061 95877 male 164.8 64.6
2062 95878 female NA 10.4
2063 95879 male 172.4 51.9
2064 95880 female 166.1 110.7
2065 95881 female 158.4 63.0
2066 95882 male 185.5 75.0
2067 95883 female 167.6 131.1
2068 95884 female 113.9 17.3
2069 95885 female NA 5.4
2070 95886 female 164.9 63.3
2071 95887 female 126.5 22.1
2072 95888 female 139.8 33.4
2073 95889 female 160.4 52.3
2074 95891 male 175.2 69.9
2075 95892 male 177.7 93.4
2076 95893 male NA 6.6
2077 95894 female NA 7.4
2078 95895 female 160.4 56.3
2079 95896 female 177.7 66.6
2080 95897 male 113.5 19.0
2081 95898 female 161.6 77.8
2082 95899 male 164.4 78.6
2083 95900 male 180.7 95.9
2084 95901 female 95.8 14.9
2085 95902 female 153.7 82.6
2086 95903 male 173.2 79.4
2087 95904 female 165.1 65.2
2088 95905 male 108.3 19.2
2089 95906 female 160.6 52.6
2090 95907 female NA NA
2091 95908 male 173.3 93.8
2092 95909 male 121.5 23.2
2093 95910 male 170.0 80.1
2094 95911 female 155.5 61.8
2095 95912 male 182.2 89.8
2096 95913 female 163.6 54.6
2097 95914 female 160.5 126.2
2098 95915 male 169.8 101.5
2099 95917 female 163.8 95.0
2100 95919 male 182.2 158.5
2101 95920 female 129.6 36.5
2102 95921 male 109.7 21.8
2103 95922 male 174.4 83.4
2104 95923 male 146.7 57.5
2105 95924 female 172.9 110.2
2106 95925 male 97.2 14.5
2107 95926 female 157.6 42.3
2108 95927 female 160.5 50.2
2109 95928 female 160.6 69.1
2110 95929 female 146.5 43.1
2111 95930 male 121.7 35.1
2112 95931 female 143.5 74.4
2113 95932 male NA 11.9
2114 95933 male 174.1 123.5
2115 95934 female 156.1 55.0
2116 95935 male 165.1 89.8
2117 95936 female 165.1 106.8
2118 95937 male 134.6 28.2
2119 95938 male NA 11.6
2120 95939 male 159.8 84.1
2121 95941 female 93.6 12.5
2122 95942 female 108.9 18.1
2123 95943 female 124.9 23.5
2124 95944 male 172.6 127.6
2125 95945 female 154.0 69.4
2126 95947 female 92.1 15.5
2127 95948 female 170.8 67.6
2128 95949 male 120.2 21.6
2129 95950 male 181.5 75.2
2130 95951 male 169.7 69.3
2131 95952 male 172.5 83.0
2132 95953 female 165.6 55.7
2133 95955 female 164.0 102.1
2134 95956 male 184.1 99.7
2135 95957 female 84.1 12.1
2136 95958 female 164.8 71.8
2137 95959 male 168.0 48.2
2138 95960 female 165.3 85.1
2139 95961 male 99.0 17.4
2140 95962 male 179.1 185.0
2141 95963 female 122.0 28.4
2142 95964 female 162.7 71.1
2143 95966 male 178.9 103.3
2144 95967 female 109.5 19.0
2145 95968 female 157.5 50.1
2146 95969 male 186.9 131.2
2147 95970 female 123.9 25.3
2148 95971 female 152.6 111.7
2149 95972 female 95.6 13.4
2150 95973 female 154.5 60.7
2151 95974 female 103.1 17.5
2152 95975 male 148.1 49.7
2153 95976 female 167.9 89.9
2154 95977 female 178.4 69.7
2155 95978 male 184.6 73.9
2156 95979 male 174.5 62.0
2157 95980 male 121.4 21.6
2158 95981 male 170.3 78.8
2159 95983 female 156.8 83.1
2160 95984 female 126.7 23.3
2161 95985 male 176.9 75.3
2162 95986 male 165.6 88.2
2163 95987 male NA 79.9
2164 95988 male 171.1 104.1
2165 95989 female 164.2 68.6
2166 95990 female 167.5 59.9
2167 95991 male 174.4 83.0
2168 95992 female 158.2 79.9
2169 95993 female 160.1 63.9
2170 95994 female 158.4 66.7
2171 95995 female 147.8 63.3
2172 95996 female 166.0 108.0
2173 95997 female 156.5 75.6
2174 95998 male 161.9 78.8
2175 95999 male 190.7 73.3
2176 96000 male 181.7 62.2
2177 96001 male 171.9 149.7
2178 96002 female 158.1 100.3
2179 96003 female 152.6 73.5
2180 96004 male 186.0 59.0
2181 96005 male 172.4 89.2
2182 96006 female 146.3 69.9
2183 96008 male 178.8 94.3
2184 96009 male 100.7 15.5
2185 96010 male 174.1 58.7
2186 96011 female 162.6 64.0
2187 96012 male 193.9 131.9
2188 96013 female 160.2 66.1
2189 96014 female 162.0 46.9
2190 96015 female NA 8.8
2191 96016 male 173.9 84.6
2192 96017 male 159.0 61.4
2193 96018 female 149.4 71.7
2194 96019 female 157.0 59.8
2195 96020 female 142.9 57.1
2196 96021 male NA 6.0
2197 96022 male 165.2 78.7
2198 96023 female 155.2 74.9
2199 96025 male 186.5 104.1
2200 96026 female 129.0 27.5
2201 96027 female 156.3 67.6
2202 96028 male 135.3 33.0
2203 96029 male 165.2 80.8
2204 96030 male 183.2 87.6
2205 96031 female 170.9 68.2
2206 96032 female 154.5 52.1
2207 96033 female 159.8 88.7
2208 96034 male 178.9 81.2
2209 96035 female 157.0 55.7
2210 96036 female 166.6 78.3
2211 96037 male 173.4 124.5
2212 96038 female 159.4 56.9
2213 96039 male NA 12.3
2214 96040 male 137.1 38.6
2215 96041 male 173.0 65.3
2216 96042 female 119.0 25.3
2217 96043 female 124.6 24.3
2218 96044 female 163.6 114.6
2219 96045 female 114.8 27.6
2220 96046 male 104.3 17.3
2221 96047 male 133.9 33.5
2222 96048 male 160.7 70.9
2223 96049 male 165.1 79.7
2224 96050 female 164.8 84.7
2225 96051 female 158.1 44.1
2226 96052 female 152.0 48.9
2227 96054 female NA 7.0
2228 96055 male 147.8 44.1
2229 96056 male 176.9 76.2
2230 96057 male 140.4 38.6
2231 96058 female 130.3 27.2
2232 96059 female NA 8.0
2233 96061 male 166.7 74.4
2234 96062 female NA 11.1
2235 96063 female 161.6 52.1
2236 96064 male 174.4 75.3
2237 96065 male 153.3 63.5
2238 96066 male 169.0 61.4
2239 96067 female 159.0 143.0
2240 96068 female 167.0 75.3
2241 96069 male 130.7 25.1
2242 96070 male 167.4 69.4
2243 96071 male 148.1 30.9
2244 96073 female 92.0 14.1
2245 96074 female 171.4 111.9
2246 96077 male 172.7 65.7
2247 96078 male 174.1 137.3
2248 96079 male 156.1 80.6
2249 96081 female 137.7 45.2
2250 96082 male 189.3 120.1
2251 96083 female 154.8 67.4
2252 96084 female 170.2 158.2
2253 96085 male 179.4 100.9
2254 96086 male 172.9 110.9
2255 96087 male 168.0 70.4
2256 96088 male 173.1 61.0
2257 96089 male 174.3 93.8
2258 96090 male 171.4 96.8
2259 96091 female 152.6 77.4
2260 96092 male 171.9 56.1
2261 96093 female 156.8 95.9
2262 96094 female 170.4 119.1
2263 96096 male 180.0 111.6
2264 96097 male 179.6 84.5
2265 96098 male 175.3 116.1
2266 96099 male 158.4 58.6
2267 96100 male 168.3 65.5
2268 96101 male NA 79.5
2269 96103 female 159.2 109.4
2270 96104 male 164.2 55.7
2271 96105 female 163.2 55.9
2272 96106 female 136.5 31.1
2273 96108 female 161.6 98.3
2274 96109 male 132.5 38.4
2275 96111 female 150.9 82.0
2276 96112 male 167.7 113.0
2277 96113 male 87.3 12.9
2278 96114 male NA NA
2279 96115 female NA NA
2280 96116 female 161.7 71.0
2281 96117 male 163.4 70.6
2282 96118 female 86.6 12.5
2283 96119 female 180.1 81.0
2284 96120 male 172.3 73.6
2285 96121 female 161.2 81.3
2286 96122 female 139.7 47.5
2287 96123 female 155.1 86.6
2288 96124 female 156.5 67.3
2289 96125 female 165.9 61.1
2290 96126 male 109.8 19.9
2291 96127 male 180.5 84.8
2292 96128 male 185.8 63.7
2293 96129 male 119.1 23.5
2294 96130 male 170.6 77.8
2295 96131 male 105.0 26.5
2296 96132 male 185.1 76.4
2297 96133 male 185.2 154.3
2298 96134 female 154.7 64.1
2299 96135 female 154.7 93.6
2300 96136 male 161.9 70.6
2301 96137 female 159.8 93.4
2302 96138 male 172.6 92.7
2303 96139 male 162.9 62.3
2304 96140 male 161.8 77.2
2305 96141 male 157.4 71.4
2306 96142 male 104.5 19.2
2307 96143 male 169.9 87.8
2308 96144 female 158.8 83.8
2309 96145 female 169.0 104.5
2310 96146 female NA 4.9
2311 96147 male 184.2 NA
2312 96148 female 89.6 12.0
2313 96149 female 153.6 61.7
2314 96150 male 174.5 53.9
2315 96151 male 172.3 86.3
2316 96152 male 161.9 92.2
2317 96153 female 134.2 28.5
2318 96154 female NA 11.3
2319 96155 male 105.3 16.7
2320 96156 male 172.0 70.8
2321 96157 male 140.5 37.0
2322 96158 male 178.7 131.4
2323 96159 female 145.7 97.2
2324 96160 female 163.6 63.4
2325 96161 female 143.3 58.4
2326 96162 female 163.0 91.0
2327 96163 female 145.6 70.4
2328 96164 female 151.3 59.0
2329 96165 female 149.2 66.4
2330 96166 female 142.5 27.8
2331 96168 female 157.5 43.6
2332 96169 female 156.5 64.3
2333 96170 female 161.8 74.0
2334 96171 female 153.5 70.7
2335 96172 female 159.8 70.3
2336 96174 male 128.7 28.6
2337 96175 male 170.7 97.2
2338 96176 male 109.7 21.6
2339 96177 female 160.0 77.8
2340 96178 male 179.1 84.4
2341 96179 male 178.4 90.9
2342 96180 female 109.1 21.6
2343 96181 male 167.0 88.9
2344 96182 female NA 5.3
2345 96183 male NA 6.2
2346 96184 male 164.6 66.7
2347 96185 female 149.1 78.3
2348 96186 male 176.0 123.8
2349 96187 male 144.9 34.0
2350 96188 female 157.4 79.7
2351 96189 male 192.3 161.6
2352 96190 male 161.7 59.5
2353 96191 female 152.0 76.1
2354 96192 female 149.1 65.3
2355 96193 male 143.4 32.9
2356 96194 female 100.9 18.3
2357 96195 male 174.3 105.0
2358 96196 female 163.2 157.4
2359 96197 male 166.3 59.0
2360 96198 female 161.5 51.4
2361 96199 male 129.6 27.1
2362 96200 male NA 7.8
2363 96201 male 147.8 39.9
2364 96202 male 144.7 37.5
2365 96203 male 111.8 27.0
2366 96204 female 97.0 14.0
2367 96205 male 178.3 83.0
2368 96206 male 134.9 35.2
2369 96207 female 102.3 16.3
2370 96208 female 89.7 12.1
2371 96209 male 89.4 15.6
2372 96210 male 174.8 91.7
2373 96211 male 169.5 104.6
2374 96212 female NA 8.0
2375 96213 female 160.6 101.5
2376 96214 female 160.9 78.5
2377 96216 female 168.2 75.8
2378 96217 male 172.3 101.0
2379 96219 female 158.7 106.2
2380 96220 male 179.5 83.3
2381 96221 male 184.9 117.1
2382 96222 female 161.4 68.4
2383 96223 male 171.9 58.3
2384 96224 female 166.5 65.0
2385 96225 male 120.8 23.6
2386 96226 male 175.3 95.9
2387 96227 female 127.3 26.9
2388 96229 female 147.0 38.2
2389 96230 male 170.9 114.8
2390 96231 female 80.0 9.8
2391 96232 male 137.4 35.7
2392 96233 male 172.5 72.8
2393 96234 male 176.2 121.9
2394 96235 male 180.3 59.4
2395 96236 female 156.0 50.7
2396 96237 female 160.8 56.3
2397 96238 male 177.0 72.6
2398 96239 female 154.1 83.5
2399 96240 female 157.4 69.2
2400 96241 female 161.0 47.3
2401 96242 male 169.3 67.8
2402 96243 female 160.6 67.9
2403 96244 female 151.6 57.7
2404 96245 female 155.6 79.9
2405 96246 female 160.3 44.8
2406 96247 male 153.5 37.4
2407 96248 female 118.7 18.4
2408 96249 female 155.6 69.9
2409 96250 male 172.6 97.1
2410 96251 female 114.6 21.1
2411 96252 female 151.2 50.3
2412 96253 female 176.7 97.0
2413 96254 male 98.0 15.4
2414 96255 male NA 5.8
2415 96256 male NA 10.6
2416 96257 female 155.1 68.4
2417 96258 female 124.3 28.7
2418 96259 male 136.8 28.7
2419 96260 male 169.1 47.7
2420 96261 female 157.1 58.7
2421 96263 male 144.8 35.2
2422 96264 female NA NA
2423 96265 male 166.7 73.5
2424 96266 female 151.2 54.8
2425 96267 male NA 8.6
2426 96268 male 162.6 79.0
2427 96269 female 148.9 63.8
2428 96270 male 180.0 86.9
2429 96271 male 159.3 59.5
2430 96272 male 173.8 76.9
2431 96273 male 158.2 47.8
2432 96275 female 163.1 70.4
2433 96276 male 180.0 124.0
2434 96277 female 121.0 23.2
2435 96279 female 156.2 81.4
2436 96280 female 159.1 87.5
2437 96282 male 173.8 108.1
2438 96283 male 182.1 86.8
2439 96284 male 179.4 107.7
2440 96285 female 167.9 64.5
2441 96286 male 154.5 39.4
2442 96287 female 154.6 84.6
2443 96288 male 178.8 86.2
2444 96289 male 170.1 72.0
2445 96290 female 159.3 79.9
2446 96291 female 165.6 136.5
2447 96292 female 103.5 15.9
2448 96293 male 165.1 71.4
2449 96294 female 173.2 64.3
2450 96295 male 171.0 73.9
2451 96296 female 154.5 50.6
2452 96297 female 166.8 74.7
2453 96298 male 178.4 67.8
2454 96299 male 172.2 62.1
2455 96300 female 117.8 20.5
2456 96301 male 195.5 105.7
2457 96302 male 169.9 81.4
2458 96304 female 163.1 96.4
2459 96305 male 140.2 31.7
2460 96306 female 156.8 84.1
2461 96307 female NA 5.9
2462 96308 male 165.2 84.2
2463 96309 female 154.6 49.4
2464 96310 male 154.0 64.4
2465 96311 female 170.9 54.6
2466 96312 female 154.9 66.4
2467 96313 female 155.1 56.9
2468 96314 female 90.2 12.5
2469 96315 male 162.2 57.4
2470 96316 male NA 9.7
2471 96317 male 176.0 120.8
2472 96318 female 172.4 76.9
2473 96319 female 161.2 87.4
2474 96320 male 170.0 87.4
2475 96321 male 168.4 47.3
2476 96322 female 147.5 52.2
2477 96323 male 168.7 79.5
2478 96324 male NA 7.0
2479 96325 female 148.2 73.1
2480 96326 male 175.9 90.3
2481 96327 female 139.2 45.3
2482 96328 male 157.6 47.1
2483 96329 female 166.1 64.5
2484 96330 male 183.6 94.7
2485 96332 male 179.0 58.5
2486 96333 female 151.3 59.8
2487 96334 female 142.0 48.7
2488 96335 male 178.9 104.2
2489 96336 male 170.4 76.0
2490 96337 male 178.1 93.1
2491 96338 female NA NA
2492 96339 female 163.4 61.0
2493 96340 male 171.6 89.0
2494 96341 male 117.8 30.6
2495 96342 female 160.5 75.7
2496 96343 male 137.4 39.4
2497 96344 female 156.2 88.7
2498 96345 male 172.3 82.9
2499 96346 male 159.7 94.6
2500 96347 female 164.6 50.5
2501 96348 male 187.7 71.8
2502 96349 male 171.0 106.4
2503 96350 male 170.0 49.8
2504 96351 male 173.4 80.5
2505 96352 male 172.6 83.7
2506 96353 male NA 12.3
2507 96354 female 92.2 14.4
2508 96355 female 149.5 39.1
2509 96357 male 174.6 72.5
2510 96358 female 151.1 66.4
2511 96359 male NA 10.1
2512 96360 female 156.2 67.4
2513 96361 female 168.0 63.8
2514 96362 female 159.9 69.9
2515 96363 female 136.8 31.1
2516 96364 female 107.1 15.5
2517 96365 female 165.6 71.7
2518 96366 female 154.2 117.9
2519 96367 male 183.4 95.1
2520 96368 female 157.9 103.9
2521 96369 male 172.0 88.3
2522 96370 female 164.9 59.9
2523 96371 female 161.5 50.7
2524 96372 male 180.9 84.9
2525 96373 male 177.6 109.5
2526 96374 female 163.5 58.8
2527 96375 male 170.6 73.3
2528 96376 male 151.7 41.4
2529 96377 female 154.3 51.2
2530 96378 male 128.0 24.1
2531 96379 female 175.8 72.3
2532 96380 male 176.0 99.7
2533 96381 female 102.6 17.3
2534 96382 male 169.0 62.8
2535 96383 female 154.9 51.8
2536 96384 male NA 4.8
2537 96385 female 159.9 79.2
2538 96386 male 175.5 68.2
2539 96387 female 101.7 17.4
2540 96389 female 152.4 57.1
2541 96390 male 185.8 98.5
2542 96391 male 173.8 97.0
2543 96392 female 164.1 81.6
2544 96393 male 177.7 87.8
2545 96394 female 128.5 34.4
2546 96395 female NA NA
2547 96396 male 184.7 98.2
2548 96397 male 144.4 32.3
2549 96398 male 190.2 97.8
2550 96399 male 166.2 107.6
2551 96400 male 171.9 84.9
2552 96401 female 165.1 98.9
2553 96402 male 180.2 101.6
2554 96403 male 168.6 60.0
2555 96404 female 153.1 67.8
2556 96405 female 147.9 64.8
2557 96406 female 162.1 92.8
2558 96408 female 142.7 90.8
2559 96409 female NA NA
2560 96410 male 163.5 48.3
2561 96411 female 167.8 71.3
2562 96412 female 150.6 36.5
2563 96413 male 179.8 104.9
2564 96414 male NA 12.2
2565 96415 male 176.4 89.0
2566 96416 female 172.4 69.8
2567 96417 female 156.1 54.2
2568 96418 female 162.9 46.7
2569 96419 female 161.2 67.2
2570 96420 male 178.7 76.7
2571 96421 female 157.4 41.4
2572 96422 female 151.4 64.3
2573 96423 male NA 15.8
2574 96424 male NA 11.6
2575 96425 male 172.5 56.2
2576 96426 male 155.8 92.1
2577 96428 female 162.4 70.1
2578 96430 male 125.5 29.5
2579 96431 male 172.3 115.1
2580 96432 female 160.7 56.4
2581 96433 female 160.7 89.9
2582 96434 female 96.7 17.2
2583 96435 female 143.1 41.9
2584 96436 male 179.2 99.8
2585 96437 female 88.7 11.7
2586 96439 male 174.4 73.5
2587 96441 female 158.4 73.1
2588 96442 male 181.9 93.1
2589 96443 female 165.3 54.0
2590 96444 female NA NA
2591 96445 male 167.8 102.4
2592 96446 female 162.4 84.8
2593 96447 male NA 7.9
2594 96448 female 164.2 72.2
2595 96449 female 150.0 80.4
2596 96450 female 160.6 83.3
2597 96451 female NA NA
2598 96452 male 159.5 73.2
2599 96453 female 150.8 51.5
2600 96455 male 185.7 145.2
2601 96456 female 154.9 60.4
2602 96457 male 181.6 98.7
2603 96458 male NA 11.6
2604 96459 female 110.1 16.7
2605 96460 female 87.6 12.4
2606 96461 male 96.9 15.6
2607 96462 male 164.4 64.7
2608 96463 male 176.9 62.3
2609 96465 female 160.3 56.2
2610 96466 female 170.6 60.4
2611 96467 female 155.9 70.4
2612 96468 female 154.3 77.2
2613 96469 female 152.7 61.5
2614 96470 male 166.0 77.7
2615 96471 male 197.7 97.5
2616 96472 male 114.8 22.8
2617 96473 male 161.1 67.8
2618 96474 female 156.1 52.3
2619 96475 male 180.3 109.7
2620 96476 female 166.7 148.6
2621 96477 male 176.6 122.8
2622 96478 male 168.6 59.6
2623 96479 female 164.4 87.6
2624 96480 male 161.0 52.1
2625 96481 male 185.9 88.9
2626 96482 male 149.1 45.1
2627 96483 female 169.0 70.6
2628 96484 male 174.9 63.5
2629 96485 female 154.8 75.3
2630 96486 male 174.9 99.0
2631 96487 male 186.2 82.5
2632 96488 male 164.5 79.0
2633 96489 female 150.4 94.3
2634 96490 female 157.0 54.3
2635 96491 female 154.8 75.5
2636 96492 male 105.3 15.0
2637 96493 male 135.7 33.5
2638 96494 male 118.2 20.9
2639 96495 male 173.2 69.3
2640 96496 male NA 9.2
2641 96497 female 168.0 103.9
2642 96498 male 143.8 55.4
2643 96500 male 163.9 54.4
2644 96501 male 171.1 124.1
2645 96502 female 158.9 69.5
2646 96503 female 153.6 70.3
2647 96504 female 165.3 52.2
2648 96505 female 168.0 120.8
2649 96507 female 150.1 55.3
2650 96508 female 158.6 71.2
2651 96509 male 185.2 104.8
2652 96510 female 160.0 74.6
2653 96511 male 177.4 89.7
2654 96512 male 174.7 102.3
2655 96513 male 180.9 56.3
2656 96514 female 159.1 60.3
2657 96515 male 167.3 55.7
2658 96516 female 160.5 64.9
2659 96517 female 168.0 76.1
2660 96518 female 152.9 65.2
2661 96519 female 154.0 53.6
2662 96520 male 117.1 22.2
2663 96521 male 172.1 80.4
2664 96522 female 163.8 48.7
2665 96523 female 166.8 106.4
2666 96524 male 127.4 26.5
2667 96525 male 172.2 72.0
2668 96526 male NA NA
2669 96527 male 125.5 26.2
2670 96529 male 165.8 62.7
2671 96530 male 130.7 25.9
2672 96531 female 97.3 14.8
2673 96532 female 161.8 105.1
2674 96533 male 174.7 93.0
2675 96534 female 159.2 60.8
2676 96535 male 108.8 19.0
2677 96536 male 130.0 28.4
2678 96537 female 151.9 61.5
2679 96538 female 154.8 83.0
2680 96539 female 139.1 28.8
2681 96540 male 160.8 60.9
2682 96541 male 119.3 21.4
2683 96542 female 168.6 51.6
2684 96543 female 159.6 63.4
2685 96544 male 170.1 45.5
2686 96545 female 165.4 62.7
2687 96546 male 176.6 92.0
2688 96547 female 162.3 79.7
2689 96548 female 171.5 70.8
2690 96549 male NA 9.4
2691 96550 male 175.0 66.0
2692 96551 female 163.0 99.1
2693 96552 male 171.1 80.0
2694 96553 male 177.2 88.0
2695 96554 male 192.5 146.6
2696 96555 male 184.8 85.9
2697 96556 female NA 5.7
2698 96557 male 182.8 90.4
2699 96558 male 167.5 95.3
2700 96559 male 160.7 42.4
2701 96560 male 173.3 54.5
2702 96561 male 184.9 124.8
2703 96562 female 136.7 46.2
2704 96563 female 154.5 40.9
2705 96565 female 168.8 110.9
2706 96566 male 183.7 94.0
2707 96567 female 89.7 14.6
2708 96568 male 168.8 67.4
2709 96569 male 166.3 78.8
2710 96570 male 139.7 56.0
2711 96571 female 161.4 119.0
2712 96572 male 143.5 33.5
2713 96573 female 165.8 75.2
2714 96574 female 155.3 58.1
2715 96575 male NA 9.3
2716 96576 male 170.1 90.0
2717 96577 male 123.5 46.0
2718 96578 male 169.1 91.8
2719 96579 female 144.8 36.3
2720 96580 male 178.0 100.7
2721 96581 male 139.3 32.9
2722 96582 male 174.4 81.1
2723 96583 male 171.1 79.3
2724 96584 female 158.2 52.8
2725 96585 male 172.6 75.1
2726 96586 female 161.8 84.4
2727 96587 male 175.8 191.4
2728 96588 male 157.5 73.2
2729 96589 female 156.1 80.8
2730 96590 female 153.6 96.4
2731 96591 male NA 11.3
2732 96592 male 170.4 91.3
2733 96593 male 177.4 77.5
2734 96594 male 180.3 155.6
2735 96595 female 151.4 70.1
2736 96596 male 170.2 83.1
2737 96597 female 105.2 17.6
2738 96598 female 158.6 87.8
2739 96599 male 167.7 90.7
2740 96600 female 155.8 103.1
2741 96601 male NA NA
2742 96602 male 168.4 85.6
2743 96603 male 179.3 129.6
2744 96606 male 164.1 58.4
2745 96607 male 184.8 120.1
2746 96608 male 172.4 73.2
2747 96609 female 160.8 65.1
2748 96610 female 157.4 51.9
2749 96611 male 154.4 105.1
2750 96612 female 112.2 21.6
2751 96613 female 125.1 26.4
2752 96614 male 175.8 68.0
2753 96615 male 166.8 81.3
2754 96616 male 165.9 69.2
2755 96617 female 124.8 24.8
2756 96618 female 166.6 57.2
2757 96619 female 172.9 44.3
2758 96620 male 94.8 14.4
2759 96622 female 159.6 120.1
2760 96623 male 167.3 78.7
2761 96624 male 169.0 81.8
2762 96625 male 166.9 66.9
2763 96626 male 179.5 69.2
2764 96628 male 171.0 104.4
2765 96629 female 173.4 89.2
2766 96630 male 175.6 111.6
2767 96631 male 177.5 104.7
2768 96633 male 171.8 81.4
2769 96634 male 161.3 57.8
2770 96635 male 97.2 17.4
2771 96636 female 164.2 76.3
2772 96637 male 186.5 80.6
2773 96638 male 175.3 79.8
2774 96639 male 159.9 68.5
2775 96640 male 109.3 16.6
2776 96641 male 190.5 94.3
2777 96642 male 159.6 61.9
2778 96643 male 92.0 13.2
2779 96644 male 163.0 85.7
2780 96646 male 165.9 73.3
2781 96647 female 165.0 72.9
2782 96649 male 181.9 132.3
2783 96650 female NA 10.8
2784 96651 female 163.9 110.4
2785 96652 male 173.4 100.7
2786 96653 male 169.0 86.2
2787 96654 male 166.3 65.4
2788 96655 male 184.8 77.6
2789 96656 male 157.6 62.2
2790 96657 male 181.8 85.9
2791 96658 male 175.0 78.7
2792 96659 female 174.8 68.8
2793 96660 female 167.0 72.6
2794 96661 female 164.9 53.9
2795 96662 male NA 9.2
2796 96663 female 163.4 57.4
2797 96664 female NA 10.2
2798 96665 female NA 12.2
2799 96666 male 167.7 123.9
2800 96667 male 165.2 94.6
2801 96668 female NA 8.6
2802 96669 female 159.7 42.5
2803 96670 female 152.6 43.1
2804 96671 female 162.8 65.0
2805 96672 male 173.0 78.2
2806 96673 male 117.7 24.7
2807 96674 male 180.4 96.6
2808 96675 female 168.1 87.2
2809 96677 female 165.3 93.9
2810 96678 female NA 11.0
2811 96679 female 163.6 51.2
2812 96680 female 126.2 23.3
2813 96681 female 167.7 91.5
2814 96682 male 146.1 36.9
2815 96683 female NA NA
2816 96685 female 162.8 85.9
2817 96687 female 156.7 71.7
2818 96688 male 179.0 106.5
2819 96689 female 155.9 51.1
2820 96690 female 98.9 15.0
2821 96691 male 110.5 19.5
2822 96692 male 174.1 79.3
2823 96693 female 153.8 47.2
2824 96694 male 181.0 75.3
2825 96695 female 156.3 68.2
2826 96696 male 179.8 117.0
2827 96697 male 180.5 74.3
2828 96698 male 173.6 119.6
2829 96699 female 156.3 87.0
2830 96700 male 172.4 95.1
2831 96701 male 166.4 67.0
2832 96703 female NA 7.2
2833 96704 female 160.6 82.1
2834 96705 male 166.0 75.7
2835 96706 male 174.2 86.2
2836 96707 female 165.9 70.0
2837 96708 female 162.4 77.0
2838 96709 male NA 11.1
2839 96711 female 160.7 66.4
2840 96712 female 156.5 80.6
2841 96714 male NA 7.7
2842 96715 male 168.6 75.5
2843 96716 female 101.0 19.0
2844 96718 male 159.9 66.9
2845 96719 female 169.7 124.8
2846 96720 male 167.6 98.4
2847 96721 female 167.0 144.6
2848 96722 male 172.9 153.9
2849 96723 female 163.2 51.9
2850 96724 female 129.6 27.7
2851 96725 female 156.4 79.3
2852 96726 female 177.1 198.7
2853 96727 female 157.8 91.1
2854 96728 male 121.7 25.2
2855 96729 female 115.9 21.1
2856 96730 female 151.5 64.7
2857 96731 male 169.8 103.1
2858 96732 male 180.7 111.1
2859 96733 female 152.6 48.0
2860 96734 female 154.7 62.5
2861 96735 male 106.7 20.0
2862 96736 male 168.1 84.8
2863 96737 female 160.3 52.6
2864 96738 male NA 11.9
2865 96739 male 174.4 95.1
2866 96740 male 176.2 105.8
2867 96741 female 158.2 54.6
2868 96743 male 185.2 147.1
2869 96744 male 167.1 133.7
2870 96745 female 160.9 136.6
2871 96746 male 188.7 83.7
2872 96747 female NA 5.8
2873 96748 female 150.3 97.7
2874 96749 male 134.2 33.4
2875 96750 female 146.1 80.2
2876 96751 female 160.2 73.6
2877 96752 female NA NA
2878 96753 male 176.4 76.9
2879 96754 female 148.7 52.7
2880 96756 female 163.2 88.1
2881 96758 male 178.9 131.3
2882 96759 female 166.4 123.0
2883 96760 male 178.3 118.1
2884 96761 female 124.2 25.2
2885 96762 male 135.5 54.3
2886 96763 male 174.7 58.3
2887 96764 male 161.8 54.8
2888 96765 female 160.5 59.7
2889 96766 female 161.4 91.6
2890 96768 female 174.7 79.4
2891 96770 female 158.3 68.0
2892 96771 female 158.7 68.8
2893 96773 female 117.6 28.9
2894 96774 female 153.9 52.3
2895 96775 female 159.8 51.2
2896 96776 male 163.2 57.0
2897 96777 male 185.0 150.7
2898 96778 female 182.0 71.7
2899 96779 male NA 9.6
2900 96780 male 184.0 79.2
2901 96781 male 128.0 23.8
2902 96782 male NA NA
2903 96783 female 158.5 60.6
2904 96784 male 160.1 63.4
2905 96785 female NA NA
2906 96787 female 163.1 64.1
2907 96788 female 164.4 106.8
2908 96789 female 151.1 64.3
2909 96790 male NA NA
2910 96791 female NA 10.9
2911 96792 female 164.5 71.6
2912 96793 male 175.1 107.0
2913 96794 male 128.0 28.4
2914 96795 male 186.2 137.2
2915 96797 female 131.0 30.2
2916 96798 male 180.4 115.7
2917 96799 male 174.2 81.7
2918 96800 male 171.5 90.1
2919 96801 male 114.8 22.7
2920 96802 female 106.6 16.8
2921 96803 male 108.2 17.4
2922 96804 male 174.6 125.3
2923 96805 female 163.3 100.9
2924 96806 male 171.9 63.5
2925 96807 male NA 5.0
2926 96808 male 112.7 18.6
2927 96809 male 176.2 85.4
2928 96810 female 153.1 65.1
2929 96811 female 159.6 78.5
2930 96812 male 157.5 60.0
2931 96813 male 178.2 90.0
2932 96814 female NA 7.1
2933 96815 male 178.1 89.5
2934 96816 female 164.0 68.9
2935 96817 female 156.0 54.4
2936 96818 male 183.0 76.4
2937 96819 female 114.3 22.0
2938 96820 male 187.0 99.1
2939 96821 male 178.7 78.0
2940 96822 male 170.4 60.7
2941 96823 male 173.5 58.6
2942 96824 male 97.7 12.8
2943 96826 male 176.8 85.9
2944 96827 male 172.2 78.0
2945 96828 male 148.7 34.7
2946 96829 female 165.3 88.8
2947 96830 male 181.2 99.9
2948 96831 female 108.4 19.0
2949 96832 male NA 9.9
2950 96833 female 172.3 167.5
2951 96834 male 171.1 103.1
2952 96835 female 168.1 75.9
2953 96836 female 164.4 109.3
2954 96837 male 128.4 26.5
2955 96838 female 163.0 74.7
2956 96839 female 171.6 132.2
2957 96840 male 173.6 85.6
2958 96841 male 173.3 61.1
2959 96842 female 161.1 85.4
2960 96843 male 168.7 89.3
2961 96844 male 176.7 73.6
2962 96845 female NA 10.3
2963 96846 female 113.7 18.6
2964 96847 female 161.0 53.4
2965 96848 female 159.7 125.1
2966 96849 female 154.8 51.2
2967 96850 male 172.7 72.1
2968 96851 female 151.2 66.0
2969 96852 male 169.2 107.5
2970 96853 female NA 5.6
2971 96854 female 162.2 52.3
2972 96855 female 158.0 86.6
2973 96856 male 111.4 21.3
2974 96857 female NA 8.7
2975 96858 male 148.2 43.6
2976 96859 male 167.5 50.6
2977 96860 female 163.3 74.2
2978 96861 male 165.3 67.2
2979 96862 female 171.3 101.7
2980 96863 male 183.2 103.7
2981 96864 female 109.5 18.1
2982 96865 female 172.5 67.4
2983 96866 male 165.7 70.9
2984 96867 female 109.9 24.4
2985 96868 female 162.1 62.4
2986 96869 male 179.9 136.1
2987 96871 male 172.5 87.6
2988 96872 male 98.6 17.1
2989 96873 female 158.1 109.9
2990 96874 female 161.8 67.3
2991 96875 female 164.6 135.0
2992 96876 female 166.2 86.5
2993 96877 male 168.5 92.3
2994 96878 male 179.4 100.5
2995 96879 female 164.1 85.0
2996 96880 female NA 3.5
2997 96881 female 165.9 86.8
2998 96882 female 146.7 76.6
2999 96884 female 160.3 70.2
3000 96885 male 168.2 85.0
3001 96886 female NA 11.5
3002 96887 female 152.5 65.1
3003 96888 female 105.7 18.9
3004 96889 female 111.0 16.9
3005 96890 male 175.9 66.8
3006 96891 male 179.2 86.9
3007 96892 female 149.3 71.0
3008 96893 male 170.7 86.7
3009 96894 male 176.2 122.4
3010 96895 female 159.5 67.6
3011 96896 female 157.4 57.2
3012 96897 male 171.2 53.1
3013 96898 male 169.3 88.0
3014 96899 male 179.6 82.3
3015 96900 male 162.0 74.1
3016 96901 female 156.5 64.1
3017 96902 male 169.8 69.6
3018 96903 male 170.3 70.2
3019 96904 female 130.7 28.2
3020 96905 female 94.9 14.9
3021 96906 male 172.3 94.2
3022 96907 female 171.6 105.6
3023 96908 female 151.5 63.2
3024 96910 female 145.2 41.1
3025 96911 female 103.3 15.0
3026 96912 male 191.8 125.2
3027 96913 female 149.8 58.5
3028 96914 female 107.9 18.2
3029 96915 male 191.9 105.8
3030 96916 female 155.1 91.7
3031 96917 male 98.9 16.2
3032 96918 male 136.2 32.6
3033 96919 female 135.5 31.2
3034 96920 female NA 3.9
3035 96921 male 177.9 140.0
3036 96922 male 178.3 97.6
3037 96923 female 133.7 29.0
3038 96924 female 176.6 57.3
3039 96925 male 170.4 108.1
3040 96926 male 185.6 77.2
3041 96927 male 176.4 100.8
3042 96928 male 159.0 59.9
3043 96929 female 123.4 19.9
3044 96930 male 173.2 68.3
3045 96931 female 135.9 26.3
3046 96932 male NA 13.1
3047 96933 male 167.8 65.2
3048 96934 female 160.6 39.9
3049 96935 male 165.1 105.5
3050 96936 female 130.4 41.8
3051 96937 male 167.7 62.2
3052 96938 female 156.6 65.8
3053 96939 female 158.0 75.9
3054 96940 female 159.2 56.1
3055 96941 female 155.4 89.6
3056 96942 male 158.5 67.6
3057 96943 male 125.7 25.2
3058 96944 female 160.2 71.7
3059 96945 male 173.9 121.4
3060 96946 male 159.6 76.5
3061 96948 male 176.8 176.5
3062 96949 female NA 10.5
3063 96950 female 124.1 45.2
3064 96951 female 165.1 92.0
3065 96952 female 153.5 53.2
3066 96953 female 173.3 97.1
3067 96954 male 160.3 76.7
3068 96955 male 169.7 79.9
3069 96956 male 173.2 83.7
3070 96957 male 130.2 26.0
3071 96958 female 163.5 104.5
3072 96959 male 174.0 75.4
3073 96960 female 169.7 126.4
3074 96961 male 173.8 57.9
3075 96962 female 156.8 62.8
3076 96963 female 124.0 27.0
3077 96964 female 167.9 77.0
3078 96965 male 164.5 82.8
3079 96966 female 160.8 67.9
3080 96967 female 157.7 48.1
3081 96968 male 167.4 93.2
3082 96969 male 164.9 73.1
3083 96970 female 153.2 51.1
3084 96971 male 171.0 77.3
3085 96972 female 168.7 68.1
3086 96974 male 92.6 13.6
3087 96975 female 154.5 58.9
3088 96976 male 172.2 74.6
3089 96977 female 117.1 19.7
3090 96978 male 180.5 83.9
3091 96979 female 157.1 82.8
3092 96980 male 171.0 82.5
3093 96981 male 178.4 88.4
3094 96983 male 166.4 88.0
3095 96984 female 170.1 101.3
3096 96985 female 153.4 79.1
3097 96986 male NA 10.8
3098 96988 male 98.9 18.4
3099 96989 female 159.9 86.6
3100 96990 male 175.5 92.6
3101 96991 female 105.2 18.3
3102 96992 male 161.5 73.0
3103 96993 male 182.6 149.8
3104 96994 male 177.6 146.8
3105 96995 female 114.0 23.4
3106 96996 female 161.3 79.0
3107 96997 male 136.4 34.3
3108 96998 female 157.7 106.3
3109 96999 female 90.2 13.0
3110 97000 male 181.5 84.7
3111 97001 male 141.0 52.8
3112 97002 female 104.3 17.2
3113 97003 male 181.6 66.1
3114 97004 female 155.9 46.7
3115 97005 male NA 8.2
3116 97006 male 106.0 15.8
3117 97007 male 125.4 24.4
3118 97008 male 160.3 80.3
3119 97009 male 167.9 67.5
3120 97011 female 157.7 71.1
3121 97012 female 164.4 48.2
3122 97013 male 162.6 86.8
3123 97014 female 108.0 18.1
3124 97015 female 156.8 93.3
3125 97016 female 103.1 14.9
3126 97017 female 155.6 73.2
3127 97018 male 165.6 63.3
3128 97019 male 164.5 70.3
3129 97020 male NA NA
3130 97021 male 184.4 91.1
3131 97022 male 158.8 66.2
3132 97023 female 155.7 46.9
3133 97024 female 171.4 68.2
3134 97025 female 161.6 67.5
3135 97026 female 155.1 63.6
3136 97027 female 154.4 59.7
3137 97028 male 182.2 124.0
3138 97029 male 168.7 73.4
3139 97030 female 160.6 84.8
3140 97031 male 169.6 86.7
3141 97032 male 182.3 88.0
3142 97033 male 153.0 97.8
3143 97034 female 162.0 57.1
3144 97035 female 164.1 82.7
3145 97036 female 177.1 71.4
3146 97037 male 177.6 79.6
3147 97038 female 163.8 46.4
3148 97039 male 166.2 76.3
3149 97040 female 157.0 69.3
3150 97041 female 160.9 84.7
3151 97042 female 170.2 65.5
3152 97043 female 160.9 56.9
3153 97044 female 155.0 39.6
3154 97045 male 127.8 29.4
3155 97046 male 189.1 106.8
3156 97047 male 130.6 24.9
3157 97048 female 159.0 85.1
3158 97049 male 176.9 83.9
3159 97050 male 162.0 57.6
3160 97051 male 164.4 55.1
3161 97052 male 126.1 24.4
3162 97053 female 102.7 18.2
3163 97054 male 180.5 93.0
3164 97055 male 175.1 103.1
3165 97056 female 162.5 84.6
3166 97057 female 160.2 57.2
3167 97058 female 150.7 102.7
3168 97059 male 184.8 123.8
3169 97060 male 170.2 85.3
3170 97061 male NA 12.6
3171 97062 male 108.7 18.3
3172 97063 male 171.3 53.4
3173 97064 male 165.1 87.5
3174 97065 male 186.8 115.2
3175 97066 male NA 6.8
3176 97067 male 168.1 69.8
3177 97068 female 94.3 14.1
3178 97069 female 158.0 79.5
3179 97070 male 168.7 83.9
3180 97071 female 153.0 81.5
3181 97072 male 84.3 11.6
3182 97074 female NA 5.1
3183 97075 female 162.4 96.3
3184 97076 male 184.3 123.5
3185 97077 female 163.9 131.6
3186 97078 female 167.1 53.4
3187 97079 female 125.4 24.9
3188 97080 female 150.9 46.9
3189 97082 female NA 7.5
3190 97083 male NA 8.6
3191 97085 female NA 7.1
3192 97086 female NA 7.0
3193 97087 female 132.2 40.2
3194 97088 male 184.4 90.8
3195 97090 male 149.8 54.7
3196 97091 female 139.0 29.0
3197 97092 female 157.3 131.7
3198 97093 female 174.8 111.0
3199 97094 female 154.6 55.4
3200 97095 female 161.3 76.0
3201 97096 female 160.6 82.4
3202 97097 male 167.7 118.9
3203 97098 male 172.9 64.3
3204 97099 female 155.1 77.9
3205 97100 female 171.0 115.8
3206 97101 female 88.7 12.7
3207 97102 female 157.1 49.6
3208 97103 female 171.9 119.6
3209 97104 male 169.5 93.3
3210 97105 male 182.7 96.1
3211 97106 female 160.3 48.4
3212 97107 male 183.9 107.8
3213 97108 male 164.9 83.6
3214 97109 female 162.1 96.7
3215 97110 male 132.7 27.4
3216 97111 male 182.2 92.6
3217 97112 male 160.2 56.1
3218 97113 female 93.2 13.2
3219 97114 female 175.7 56.9
3220 97115 male 168.0 84.6
3221 97116 female 159.2 76.9
3222 97117 female 151.1 56.0
3223 97118 male 172.8 108.8
3224 97119 female 97.8 14.3
3225 97120 female 149.5 67.8
3226 97121 female 170.5 101.8
3227 97122 female 167.8 110.2
3228 97123 female 161.4 55.8
3229 97124 female 159.9 70.2
3230 97125 male 182.0 110.5
3231 97126 male 90.4 13.5
3232 97127 male 178.0 91.6
3233 97128 female 149.6 84.9
3234 97129 female 165.5 61.4
3235 97130 male 175.5 80.2
3236 97131 female 167.0 79.7
3237 97133 female 156.9 63.6
3238 97134 female NA 8.0
3239 97135 male 176.2 65.5
3240 97136 male NA 9.0
3241 97137 female 160.5 57.5
3242 97138 female 172.5 67.7
3243 97139 male 167.3 64.9
3244 97140 female 165.2 80.7
3245 97142 female 156.4 79.6
3246 97143 male 166.3 95.1
3247 97144 male 184.0 75.1
3248 97145 female 157.3 162.9
3249 97146 female 154.2 50.3
3250 97147 female 152.2 54.5
3251 97148 female 104.3 20.0
3252 97149 female 155.7 53.5
3253 97150 male 173.4 84.1
3254 97151 female 120.6 20.8
3255 97152 female 163.7 77.9
3256 97153 male 171.9 102.6
3257 97154 male 96.2 16.2
3258 97155 male 180.6 112.2
3259 97156 female 158.6 84.7
3260 97157 male 176.2 64.4
3261 97158 male NA 9.6
3262 97159 female 121.0 21.2
3263 97160 female 163.6 48.9
3264 97161 male NA NA
3265 97163 male 155.5 58.8
3266 97164 male 178.0 47.9
3267 97165 female 168.8 105.9
3268 97166 female 156.6 68.6
3269 97167 female 157.2 49.9
3270 97168 male 167.2 63.7
3271 97169 female 163.1 87.9
3272 97170 male 133.6 35.2
3273 97171 female 155.2 57.3
3274 97172 female 122.9 27.3
3275 97173 female 166.5 64.6
3276 97174 female 150.7 49.8
3277 97175 male 117.8 20.9
3278 97176 female 152.3 86.0
3279 97177 male 164.3 108.3
3280 97178 female 149.9 87.3
3281 97179 female NA NA
3282 97180 female 156.9 68.7
3283 97181 male 159.1 73.0
3284 97182 male 176.0 66.5
3285 97183 female 163.0 66.8
3286 97184 female 166.3 79.2
3287 97185 female 146.4 46.7
3288 97186 male 182.1 116.9
3289 97187 male 157.2 71.7
3290 97188 female NA NA
3291 97189 male 177.7 117.3
3292 97190 female NA 7.5
3293 97191 female 157.0 80.8
3294 97192 female 153.9 71.6
3295 97193 male 181.3 107.5
3296 97194 male 162.9 67.0
3297 97195 male NA 8.2
3298 97196 female NA 13.0
3299 97197 female 154.7 83.6
3300 97198 female 157.4 65.3
3301 97199 male 171.2 84.5
3302 97200 male 179.0 71.1
3303 97201 male 175.0 65.1
3304 97202 male 116.9 19.9
3305 97203 male NA 9.4
3306 97204 female 155.7 68.5
3307 97205 female NA 10.9
3308 97206 male 183.4 92.0
3309 97207 female NA 14.8
3310 97208 male 182.4 79.6
3311 97209 female 162.3 74.6
3312 97210 male 176.7 93.2
3313 97211 female NA NA
3314 97212 male 170.3 96.6
3315 97213 female 120.0 20.7
3316 97214 male NA 7.1
3317 97215 female 151.8 57.1
3318 97216 female 150.7 119.4
3319 97217 female 161.7 60.0
3320 97218 male 172.3 54.8
3321 97219 male 142.4 44.1
3322 97220 male 140.9 41.7
3323 97221 male 170.4 66.6
3324 97222 female 156.3 128.1
3325 97223 male 181.7 83.0
3326 97224 female 155.4 59.7
3327 97225 female 157.3 102.8
3328 97226 female NA 16.0
3329 97227 female 99.4 17.2
3330 97228 male 182.3 98.8
3331 97229 female 157.9 64.5
3332 97230 male 140.1 42.8
3333 97231 female 155.5 75.0
3334 97232 male 178.8 73.8
3335 97233 male 157.5 63.4
3336 97234 female 161.1 90.8
3337 97235 female 168.1 83.0
3338 97236 male 171.2 73.8
3339 97237 female 159.1 74.8
3340 97238 female 125.7 28.3
3341 97239 female 170.2 58.4
3342 97240 female 171.7 59.5
3343 97241 male 163.3 53.0
3344 97242 male 173.9 86.3
3345 97243 female 138.3 31.2
3346 97244 female 165.7 62.7
3347 97245 male 177.6 81.0
3348 97246 female 120.7 24.4
3349 97247 male 179.1 87.3
3350 97248 female 148.7 57.0
3351 97249 female 162.4 84.5
3352 97250 male 189.0 82.7
3353 97251 male 171.6 83.0
3354 97252 female 155.3 83.7
3355 97253 female 162.8 83.8
3356 97254 male NA 12.1
3357 97255 male 170.9 73.3
3358 97256 male 173.2 65.1
3359 97257 female 152.4 95.2
3360 97258 female 155.5 47.8
3361 97259 male 161.4 63.9
3362 97260 female 153.1 71.6
3363 97261 male 184.1 87.2
3364 97262 female 165.8 56.0
3365 97263 female 164.0 55.3
3366 97264 female 153.5 88.2
3367 97265 male 133.4 30.2
3368 97266 male 180.2 86.6
3369 97267 male 117.1 20.3
3370 97268 male 151.9 63.7
3371 97270 female 156.3 72.1
3372 97271 female 140.7 41.9
3373 97272 female 165.9 75.5
3374 97274 male 171.3 81.8
3375 97275 female 172.6 62.2
3376 97276 female NA 10.0
3377 97277 male 166.0 99.0
3378 97278 female 153.1 74.8
3379 97279 female 170.0 53.0
3380 97280 male 167.9 88.2
3381 97281 female 165.1 57.8
3382 97282 female 156.1 71.1
3383 97284 female 166.7 77.1
3384 97285 male NA NA
3385 97286 male 89.9 13.8
3386 97287 female 163.0 65.1
3387 97288 female 91.2 13.6
3388 97289 female 161.7 75.0
3389 97290 male 149.4 49.1
3390 97291 female 142.7 30.7
3391 97292 male 173.8 57.5
3392 97293 female 153.0 66.2
3393 97294 male NA 10.0
3394 97295 female 92.6 13.0
3395 97296 male 85.7 12.4
3396 97297 female 151.5 79.9
3397 97298 female 157.8 66.1
3398 97299 male 183.1 93.3
3399 97300 male NA 4.9
3400 97301 male 174.3 87.4
3401 97302 male 140.0 41.8
3402 97303 female 126.5 27.5
3403 97304 female 161.1 95.6
3404 97305 male 176.1 90.4
3405 97306 female 161.8 85.3
3406 97307 male 172.0 124.0
3407 97308 female 169.5 94.6
3408 97309 female 90.5 14.7
3409 97310 female 95.5 17.0
3410 97311 male NA 12.8
3411 97312 female 109.7 17.2
3412 97313 female 166.9 57.1
3413 97314 female 151.5 74.8
3414 97315 male 165.1 52.9
3415 97316 male 163.2 95.7
3416 97317 female NA 8.4
3417 97318 female NA 8.7
3418 97319 male 173.2 99.2
3419 97320 male 178.1 56.0
3420 97321 male 164.1 68.6
3421 97322 female 174.7 110.6
3422 97323 female 149.3 54.1
3423 97324 female 159.7 42.3
3424 97325 female 157.9 60.8
3425 97326 male 177.2 79.6
3426 97327 male 169.7 81.5
3427 97328 female 146.3 47.9
3428 97329 female 164.1 52.2
3429 97330 male 177.8 129.3
3430 97331 female 98.2 13.3
3431 97332 female 156.2 58.4
3432 97333 female 163.1 55.0
3433 97334 female 156.3 56.3
3434 97335 female 158.9 62.0
3435 97336 female 152.7 43.0
3436 97337 male 165.0 83.6
3437 97338 female 170.7 98.1
3438 97339 male 174.4 78.5
3439 97340 female 143.2 33.3
3440 97341 male 134.6 37.0
3441 97343 female 160.6 73.0
3442 97344 male 146.5 33.2
3443 97345 male 163.8 62.0
3444 97346 female 105.1 16.8
3445 97347 male NA 10.0
3446 97348 female 156.2 62.6
3447 97349 female 155.7 71.5
3448 97350 female 134.9 31.3
3449 97351 female 156.6 66.5
3450 97352 male 164.6 61.6
3451 97353 male 170.7 61.8
3452 97354 female 163.8 105.0
3453 97355 female NA 4.4
3454 97356 female 151.1 81.5
3455 97357 male 165.3 118.3
3456 97358 female 163.0 82.5
3457 97359 female 166.5 42.3
3458 97360 male 172.1 120.9
3459 97361 male 187.9 111.1
3460 97362 male 183.9 82.9
3461 97363 male 106.4 19.2
3462 97364 female 164.3 58.1
3463 97365 female 154.0 52.4
3464 97366 male 150.6 59.5
3465 97367 female 168.4 90.1
3466 97368 female 146.0 34.0
3467 97370 female 154.1 82.6
3468 97371 female 162.0 74.1
3469 97372 female 165.9 85.9
3470 97373 female 159.3 86.7
3471 97374 male 169.5 124.3
3472 97375 male 177.4 117.3
3473 97377 female 165.5 59.1
3474 97378 female 168.9 109.7
3475 97379 male 166.9 74.4
3476 97380 male NA NA
3477 97381 male 174.4 121.7
3478 97382 male 177.8 84.5
3479 97383 male 167.6 73.6
3480 97384 male 185.5 91.3
3481 97385 female 148.2 51.8
3482 97386 male 182.1 137.7
3483 97387 male 136.7 40.2
3484 97388 female 158.9 98.8
3485 97389 male 181.7 80.0
3486 97390 male 172.5 106.5
3487 97391 male 154.6 70.5
3488 97392 female 162.7 83.7
3489 97393 male 104.0 18.8
3490 97394 male 182.6 60.1
3491 97395 male 176.2 63.7
3492 97396 male 166.4 67.1
3493 97397 female 171.5 67.5
3494 97398 male 167.5 75.6
3495 97399 female 112.9 25.0
3496 97400 male 159.5 60.0
3497 97401 male 148.6 41.9
3498 97402 female 160.7 50.7
3499 97403 male 170.2 73.6
3500 97404 female 134.1 41.9
3501 97405 female 102.5 17.1
3502 97406 female 124.4 23.9
3503 97407 male 162.0 107.2
3504 97408 male 171.6 103.8
3505 97409 male 173.1 81.5
3506 97410 female 151.8 46.0
3507 97411 female 154.4 67.7
3508 97412 male 175.8 92.8
3509 97413 male 140.3 36.7
3510 97414 male 109.4 20.5
3511 97415 male 162.6 68.1
3512 97416 male 131.7 28.7
3513 97417 female 157.4 57.8
3514 97418 female 157.0 75.1
3515 97419 female 155.3 54.3
3516 97420 male 178.3 86.6
3517 97421 female 115.5 18.1
3518 97422 male 160.3 55.0
3519 97423 female 157.9 97.9
3520 97424 female 161.9 99.8
3521 97425 male 173.3 58.7
3522 97426 male 100.6 16.9
3523 97427 male 138.1 30.6
3524 97428 male 166.2 88.9
3525 97429 male 172.4 74.1
3526 97430 male 174.5 101.6
3527 97431 female 157.2 41.9
3528 97432 male 185.3 74.5
3529 97433 female 103.8 20.9
3530 97434 female NA 8.2
3531 97435 male 109.8 17.3
3532 97436 male 173.6 81.4
3533 97437 male 165.8 72.8
3534 97438 male 143.2 34.5
3535 97439 male 100.4 14.0
3536 97440 female 131.7 27.8
3537 97441 male 181.4 78.3
3538 97442 female 122.9 21.2
3539 97443 female 166.8 82.6
3540 97444 male 166.5 60.7
3541 97445 male 178.6 96.9
3542 97446 male 164.3 70.5
3543 97448 male 152.1 42.9
3544 97449 female 162.7 93.0
3545 97450 female 165.1 119.0
3546 97451 female 161.2 73.9
3547 97452 female 155.0 71.2
3548 97454 male 132.1 39.4
3549 97455 female 154.9 84.7
3550 97456 female 169.7 76.3
3551 97457 female 104.7 16.2
3552 97458 female 171.1 101.7
3553 97459 male NA 10.2
3554 97460 female 164.8 60.0
3555 97461 female 117.7 22.7
3556 97462 male 167.7 84.2
3557 97463 female 161.5 45.7
3558 97464 male 175.1 122.1
3559 97465 male 183.2 94.4
3560 97466 female 106.5 17.0
3561 97467 female 144.8 32.8
3562 97468 male 175.0 69.6
3563 97469 female 156.3 62.0
3564 97470 female 131.0 23.7
3565 97471 female 154.5 67.0
3566 97472 male 170.1 62.7
3567 97473 male 166.0 58.1
3568 97474 male 171.4 98.3
3569 97475 male 154.4 38.5
3570 97476 female NA 9.4
3571 97477 female 147.2 36.7
3572 97478 female 159.6 76.1
3573 97479 female 87.6 13.5
3574 97480 female NA 6.0
3575 97481 male 160.0 78.7
3576 97482 female 160.7 130.0
3577 97483 male 179.0 112.0
3578 97484 male 183.0 96.8
3579 97485 female 168.2 66.5
3580 97486 female 156.4 94.1
3581 97487 female 145.3 59.7
3582 97488 female 163.0 119.6
3583 97489 female 89.3 11.2
3584 97490 male 167.4 66.9
3585 97491 female 99.7 16.1
3586 97492 male 179.3 70.2
3587 97493 female 87.8 11.5
3588 97494 female 130.7 25.7
3589 97495 female 162.2 168.9
3590 97496 female 146.8 66.4
3591 97497 male 178.2 84.6
3592 97498 female 155.8 57.5
3593 97499 female 111.2 19.7
3594 97500 female 154.5 144.7
3595 97501 female 163.8 95.6
3596 97503 male 143.4 40.9
3597 97504 male 144.7 34.0
3598 97505 male 153.8 60.9
3599 97506 male 170.9 81.2
3600 97507 female 154.9 51.9
3601 97509 female 160.7 101.0
3602 97510 female 166.1 98.7
3603 97511 male 113.4 23.6
3604 97512 male 172.4 69.4
3605 97513 male 181.8 117.8
3606 97514 female 114.9 19.8
3607 97516 female 160.1 80.3
3608 97517 male 179.0 63.4
3609 97518 male 169.2 73.8
3610 97520 female 163.2 123.4
3611 97521 male 178.4 151.1
3612 97522 female 161.6 57.1
3613 97523 male 160.6 73.0
3614 97524 female 173.8 61.1
3615 97525 female 159.5 46.1
3616 97526 female 157.0 71.7
3617 97527 male 182.7 106.5
3618 97529 female 113.1 19.6
3619 97530 female 153.6 40.3
3620 97531 female 166.1 86.2
3621 97532 male 176.4 68.6
3622 97533 male 176.8 73.3
3623 97534 male NA 9.1
3624 97535 female 156.7 72.6
3625 97536 male 165.2 71.0
3626 97537 female 169.2 103.6
3627 97538 female 154.1 79.7
3628 97539 male 180.1 118.3
3629 97540 female 93.9 15.8
3630 97541 male NA NA
3631 97542 female 128.4 27.9
3632 97543 male NA 8.0
3633 97544 male 174.7 94.9
3634 97545 female 150.3 82.4
3635 97546 male 111.4 21.5
3636 97547 female 163.4 62.4
3637 97548 female 151.9 56.3
3638 97549 female 161.4 70.0
3639 97550 female 163.5 63.1
3640 97551 female 162.1 54.6
3641 97553 female NA 10.2
3642 97554 male 175.0 77.9
3643 97555 female 160.3 76.5
3644 97556 male NA 12.6
3645 97557 female 156.9 77.2
3646 97558 female 161.8 65.0
3647 97559 male NA 10.3
3648 97560 male 173.0 79.3
3649 97561 male 176.4 100.7
3650 97562 male 131.1 24.2
3651 97563 female 146.8 56.0
3652 97564 male 180.2 105.6
3653 97565 male NA 9.4
3654 97566 male NA 5.0
3655 97567 female NA 10.1
3656 97568 male 167.8 90.2
3657 97569 male 182.8 98.2
3658 97570 female 165.9 84.1
3659 97571 male 175.8 57.0
3660 97572 male 180.6 95.0
3661 97573 female 158.8 61.8
3662 97574 female 153.7 53.8
3663 97575 female 169.6 53.8
3664 97576 male 168.0 103.0
3665 97577 female 147.3 65.2
3666 97578 male 157.8 62.9
3667 97579 female 84.7 10.5
3668 97580 male 167.1 71.6
3669 97582 male 175.3 85.7
3670 97583 female 128.6 22.1
3671 97584 female 167.3 102.3
3672 97585 male 168.4 75.4
3673 97586 female 137.4 34.5
3674 97587 female 135.8 37.3
3675 97588 male 174.7 73.5
3676 97589 female 153.0 57.4
3677 97591 male 166.3 67.3
3678 97592 male 175.4 76.5
3679 97593 female 166.7 120.2
3680 97594 female 157.5 48.8
3681 97595 male 179.1 57.9
3682 97597 female 163.4 69.9
3683 97598 female 158.0 84.0
3684 97599 male NA 11.0
3685 97600 female 156.3 62.8
3686 97601 female 161.8 97.2
3687 97602 female 173.8 92.3
3688 97604 male 90.2 12.8
3689 97605 female 162.8 65.6
3690 97606 female 152.3 57.3
3691 97607 male 159.6 60.1
3692 97608 male 172.2 71.7
3693 97609 male 166.9 69.9
3694 97610 male 176.5 77.9
3695 97611 male 181.2 81.7
3696 97612 male NA 4.2
3697 97613 female 115.7 27.6
3698 97614 female 100.9 17.1
3699 97616 female 88.2 12.4
3700 97617 male 176.0 56.8
3701 97618 male 178.1 94.9
3702 97619 male 171.7 89.7
3703 97620 female 158.6 115.2
3704 97621 female 163.6 54.7
3705 97622 male 144.7 52.1
3706 97623 female 157.9 76.6
3707 97624 female 146.8 43.6
3708 97625 male 165.0 87.3
3709 97626 female 149.7 67.4
3710 97627 female 175.9 161.4
3711 97628 male NA 9.1
3712 97629 female 163.5 59.7
3713 97630 female 166.6 80.9
3714 97631 female 165.6 100.0
3715 97632 male 152.7 79.3
3716 97634 male NA 4.8
3717 97635 female 151.6 67.8
3718 97636 female NA 4.6
3719 97637 female NA 9.5
3720 97638 male 176.5 81.1
3721 97639 male NA NA
3722 97640 male 168.4 95.7
3723 97641 female 161.9 64.2
3724 97642 male 167.0 97.3
3725 97643 female 164.1 104.9
3726 97644 male 174.0 128.1
3727 97645 male NA 13.4
3728 97646 female 137.0 29.1
3729 97647 female 148.9 49.5
3730 97648 female 164.8 126.3
3731 97650 female 157.0 75.0
3732 97651 female 144.6 67.3
3733 97652 male 171.2 61.9
3734 97653 female NA 13.1
3735 97654 female 97.3 17.0
3736 97655 male NA 8.7
3737 97656 male 188.0 130.6
3738 97657 female 162.1 54.1
3739 97658 female 116.9 25.6
3740 97659 male 161.1 72.3
3741 97660 female 116.4 25.3
3742 97661 female NA 94.0
3743 97662 male 163.1 69.3
3744 97663 male 87.0 14.9
3745 97665 female 92.8 14.3
3746 97666 male 166.9 91.5
3747 97667 female 158.6 110.2
3748 97668 male 174.7 170.8
3749 97669 female 164.1 71.2
3750 97670 female 167.0 89.1
3751 97671 female 145.9 70.8
3752 97672 female 150.4 75.2
3753 97673 male NA 8.0
3754 97674 female 143.9 41.8
3755 97675 female 164.9 71.0
3756 97676 male 160.8 68.7
3757 97677 male 121.8 23.3
3758 97678 male 152.3 61.2
3759 97679 female 115.1 19.7
3760 97680 male NA 7.1
3761 97681 male 118.2 21.3
3762 97683 female 155.0 66.2
3763 97684 female 162.7 134.5
3764 97685 male 167.9 110.5
3765 97686 female 134.4 34.2
3766 97688 female 156.2 105.5
3767 97689 male 168.3 98.1
3768 97690 female NA 14.5
3769 97691 female 163.0 84.3
3770 97692 male 166.5 77.2
3771 97693 male NA 61.9
3772 97694 female 163.0 95.5
3773 97695 female 155.0 69.0
3774 97696 male 181.5 80.1
3775 97697 male 192.9 82.9
3776 97698 female NA NA
3777 97699 female 156.9 65.6
3778 97700 female 105.5 18.2
3779 97701 male 184.9 142.9
3780 97702 female 169.3 90.4
3781 97703 male 159.1 92.1
3782 97704 female 150.8 83.2
3783 97705 female 170.2 69.4
3784 97706 male 171.6 90.8
3785 97707 female 126.1 27.0
3786 97708 male 168.9 87.5
3787 97709 female 160.3 84.2
3788 97710 female 105.4 15.9
3789 97711 female 146.9 49.7
3790 97712 female 167.1 92.0
3791 97713 female 165.9 65.5
3792 97714 male 164.9 87.2
3793 97715 male 153.2 41.3
3794 97716 female 170.2 65.9
3795 97717 male 174.7 95.1
3796 97719 male 168.9 77.5
3797 97720 male 183.8 86.4
3798 97721 female NA 13.2
3799 97722 female 168.3 55.9
3800 97723 female 165.3 75.8
3801 97724 male 175.0 NA
3802 97725 female NA 10.9
3803 97726 female 155.0 70.4
3804 97727 male 190.8 164.8
3805 97728 male 179.5 69.8
3806 97729 female 159.4 109.6
3807 97730 female 153.9 38.6
3808 97731 female NA 9.6
3809 97732 female 147.2 40.9
3810 97733 female NA 9.1
3811 97734 male NA 12.2
3812 97735 male 176.4 107.2
3813 97736 male 138.8 33.0
3814 97737 male 177.1 72.9
3815 97738 female NA 10.3
3816 97739 female 161.4 49.0
3817 97740 female 168.6 82.0
3818 97741 female 160.1 58.5
3819 97742 female 162.1 58.5
3820 97744 male 177.0 66.2
3821 97745 male 166.8 64.7
3822 97746 male 182.0 85.5
3823 97747 male 166.6 72.4
3824 97748 female 161.2 57.6
3825 97749 male NA 8.4
3826 97750 male 173.9 86.2
3827 97751 female 152.7 62.6
3828 97752 male 173.2 114.9
3829 97753 male 195.5 150.6
3830 97754 male 155.6 38.9
3831 97755 female 154.2 47.0
3832 97756 female 160.9 154.6
3833 97757 male NA 5.5
3834 97758 female 153.9 102.9
3835 97759 female NA NA
3836 97760 female 154.9 100.2
3837 97761 female 165.0 68.8
3838 97762 female 166.3 93.0
3839 97763 female 167.7 53.3
3840 97764 male 171.8 74.6
3841 97765 female 156.2 59.3
3842 97766 male 188.4 113.4
3843 97768 female 161.7 73.3
3844 97769 male 160.6 70.3
3845 97770 female 162.3 111.6
3846 97771 female 175.6 131.7
3847 97772 male 163.5 76.6
3848 97773 female 169.0 83.9
3849 97774 male 158.5 51.0
3850 97775 male 169.3 76.4
3851 97776 female 149.4 74.1
3852 97777 male 174.6 85.3
3853 97778 female 158.7 49.6
3854 97779 female 158.7 82.3
3855 97780 female NA 9.1
3856 97781 female 124.9 27.3
3857 97782 female 171.0 72.6
3858 97783 female 163.8 124.6
3859 97784 male 175.0 82.4
3860 97785 female 165.6 71.2
3861 97786 male 166.3 54.1
3862 97787 male 176.6 72.9
3863 97788 male 158.3 74.0
3864 97789 female NA 8.5
3865 97790 male 168.5 82.6
3866 97791 male 143.4 33.8
3867 97792 male 172.1 114.4
3868 97793 male 185.6 78.4
3869 97794 female 166.6 67.8
3870 97795 female 161.4 62.1
3871 97796 female 165.9 74.7
3872 97797 female 157.3 55.9
3873 97798 male 178.4 93.4
3874 97799 male 176.6 85.8
3875 97800 male 167.5 83.4
3876 97801 male 179.3 81.2
3877 97802 male 170.1 99.4
3878 97803 male 116.9 21.1
3879 97804 male 103.7 15.9
3880 97805 male 170.6 65.5
3881 97806 female 165.3 61.0
3882 97807 male 155.4 67.1
3883 97808 female NA 10.8
3884 97809 male 186.5 130.9
3885 97810 male 187.5 87.4
3886 97811 female 154.5 75.6
3887 97812 male 138.8 36.8
3888 97813 female 165.0 88.2
3889 97815 male NA 10.2
3890 97816 male 133.8 32.6
3891 97817 female 154.1 45.8
3892 97818 female NA 4.3
3893 97819 female 155.9 76.2
3894 97820 female 86.5 12.2
3895 97821 female 123.5 29.9
3896 97822 female 162.6 70.2
3897 97823 male 171.9 90.0
3898 97824 male 97.2 13.6
3899 97825 male 174.7 78.5
3900 97827 male 171.1 80.2
3901 97828 male 162.1 67.6
3902 97829 male 175.7 191.3
3903 97830 male 174.3 108.0
3904 97832 male 165.1 75.8
3905 97833 male 108.0 19.9
3906 97834 male NA 12.2
3907 97835 female 158.8 84.9
3908 97836 female 164.2 43.2
3909 97837 male NA 9.9
3910 97838 female 137.3 34.0
3911 97839 female 171.7 111.9
3912 97840 male 169.7 73.5
3913 97841 female 165.5 91.6
3914 97842 male NA 16.0
3915 97843 male 147.0 35.8
3916 97845 male 173.4 89.0
3917 97846 female 143.0 43.1
3918 97847 female 158.8 58.7
3919 97848 female 158.9 53.5
3920 97849 male 114.6 24.1
3921 97850 female 148.3 82.4
3922 97851 male 172.6 77.0
3923 97852 female 150.7 52.5
3924 97853 female 159.0 66.2
3925 97854 male NA 9.5
3926 97855 male 140.6 29.8
3927 97856 male 120.4 20.9
3928 97857 male NA 8.2
3929 97859 male 166.6 61.7
3930 97860 male 105.5 17.3
3931 97861 female 162.3 85.3
3932 97862 male 176.5 60.6
3933 97863 male 175.7 96.2
3934 97865 male 137.8 45.4
3935 97866 male 177.5 113.8
3936 97867 female 121.5 31.6
3937 97869 female 170.2 85.2
3938 97870 female 138.2 35.1
3939 97871 female 148.4 79.8
3940 97874 female 154.4 67.3
3941 97875 female 126.2 25.4
3942 97876 male 168.8 86.1
3943 97877 female 147.9 54.7
3944 97878 female 163.2 82.3
3945 97879 female 119.9 24.7
3946 97880 male NA 10.8
3947 97881 male 166.0 59.2
3948 97882 female 162.6 83.0
3949 97883 female 166.7 71.6
3950 97884 male 99.8 17.3
3951 97885 male NA 5.7
3952 97886 female 159.5 53.2
3953 97888 male NA 6.3
3954 97889 male 141.0 32.7
3955 97890 female 142.4 39.4
3956 97891 male 169.4 67.0
3957 97892 female 151.4 55.7
3958 97894 female 161.4 83.2
3959 97895 male 179.3 74.2
3960 97896 female 157.2 54.6
3961 97897 male 168.2 116.6
3962 97898 male NA NA
3963 97899 male 180.6 113.5
3964 97900 male NA 8.7
3965 97901 male 181.0 80.2
3966 97902 male 173.8 82.6
3967 97903 female 161.1 88.4
3968 97904 male 176.1 83.8
3969 97905 female 163.6 84.0
3970 97906 male 133.5 37.8
3971 97907 male NA 8.2
3972 97908 male 167.0 78.2
3973 97909 female 161.7 89.4
3974 97910 male 159.4 42.8
3975 97911 female 140.3 55.1
3976 97912 male 98.6 17.9
3977 97914 female 118.3 25.5
3978 97915 female 155.9 69.8
3979 97916 female 151.0 110.6
3980 97917 female NA 9.6
3981 97918 female 165.0 69.4
3982 97919 female 164.6 65.6
3983 97920 female NA 4.9
3984 97921 female 113.6 19.3
3985 97922 male 126.2 25.3
3986 97923 female 160.5 50.0
3987 97924 male 174.2 67.2
3988 97925 female 160.4 61.1
3989 97926 male 169.1 73.9
3990 97927 female 143.9 48.4
3991 97928 male 183.5 87.4
3992 97929 female 163.9 79.9
3993 97930 male 174.5 88.4
3994 97931 female 156.1 58.2
3995 97933 male 168.7 94.6
3996 97934 male 171.7 72.3
3997 97935 male 169.6 61.9
3998 97937 female 158.6 47.9
3999 97938 male 167.8 242.6
4000 97939 female NA 13.6
4001 97940 male 177.9 77.3
4002 97941 female 158.8 69.8
4003 97943 female 158.7 96.1
4004 97944 female 153.9 62.2
4005 97945 female 146.2 65.3
4006 97946 female 163.0 82.7
4007 97947 female 160.4 74.7
4008 97948 female 172.9 55.3
4009 97949 female 161.8 58.7
4010 97950 female 159.6 71.0
4011 97951 female 153.0 50.4
4012 97952 male 166.5 75.6
4013 97953 female 142.5 33.2
4014 97954 female 149.4 79.4
4015 97955 male 171.5 80.9
4016 97956 male 165.4 79.8
4017 97957 male NA 5.1
4018 97958 female 165.0 92.6
4019 97959 male NA NA
4020 97960 female 167.6 79.3
4021 97962 male NA 10.5
4022 97963 male 181.7 87.4
4023 97964 male 174.8 88.9
4024 97965 male 182.0 143.4
4025 97966 female 169.1 73.7
4026 97967 female 151.1 62.3
4027 97969 female 152.1 79.9
4028 97970 female 155.1 79.2
4029 97971 male 178.6 106.4
4030 97972 female 166.3 131.6
4031 97973 male 167.8 78.6
4032 97974 female 141.9 49.3
4033 97975 male 105.2 18.7
4034 97976 male 163.2 75.7
4035 97977 male 180.5 134.4
4036 97978 female 177.2 130.9
4037 97979 male 174.8 53.0
4038 97980 male 167.3 76.7
4039 97981 male 112.8 20.8
4040 97982 female 159.2 88.3
4041 97983 male 165.9 92.3
4042 97984 male 130.5 30.7
4043 97985 female 164.8 78.2
4044 97986 female 165.6 121.3
4045 97987 female 163.4 57.5
4046 97988 male 179.2 76.3
4047 97989 female 159.9 60.2
4048 97991 male 164.4 62.6
4049 97992 male 117.7 20.4
4050 97993 female 152.4 50.1
4051 97994 male NA 11.4
4052 97995 male 172.8 89.3
4053 97996 female 143.3 53.8
4054 97997 female 153.5 74.9
4055 97998 female 112.0 21.2
4056 97999 female 157.3 97.5
4057 98000 female 116.4 21.6
4058 98001 male 165.5 68.2
4059 98002 male 168.2 57.9
4060 98004 female 161.5 68.0
4061 98005 male 175.5 86.5
4062 98006 male 185.4 86.7
4063 98007 male 172.6 74.7
4064 98008 female 157.8 69.5
4065 98009 male 169.1 61.2
4066 98010 female 152.9 52.0
4067 98011 male 100.7 15.0
4068 98012 male 155.1 62.7
4069 98013 female 103.7 17.7
4070 98014 female 170.2 103.8
4071 98015 male 175.5 73.4
4072 98016 female 166.3 82.0
4073 98017 female NA 6.4
4074 98018 male 179.6 68.1
4075 98019 male 180.5 94.2
4076 98020 male NA 9.2
4077 98021 female 136.5 37.6
4078 98022 female 162.4 62.5
4079 98023 female 153.7 84.9
4080 98024 female 155.5 98.0
4081 98025 male 173.5 64.5
4082 98026 female 102.5 17.5
4083 98027 male 130.9 23.8
4084 98028 female 155.7 80.1
4085 98029 female 155.9 57.5
4086 98030 female 150.9 55.6
4087 98031 male 183.3 105.5
4088 98032 male 177.9 81.0
4089 98033 female 168.3 76.0
4090 98034 male 176.1 97.6
4091 98035 female 163.6 85.2
4092 98036 female 155.6 79.3
4093 98037 female 112.5 16.9
4094 98038 female 155.2 46.0
4095 98039 male NA 11.0
4096 98040 male 158.8 65.1
4097 98041 female 152.4 83.6
4098 98042 male 141.5 38.3
4099 98043 male 177.6 85.8
4100 98044 male 150.5 36.5
4101 98045 female 160.9 64.6
4102 98046 female 164.8 103.1
4103 98047 male 174.0 84.2
4104 98048 female 159.4 53.2
4105 98049 male 170.8 70.4
4106 98051 male 134.3 28.9
4107 98052 female 163.9 69.7
4108 98054 male 185.8 NA
4109 98055 female NA 9.1
4110 98056 female 164.6 91.9
4111 98057 male 175.1 134.0
4112 98058 female NA NA
4113 98059 female NA 5.8
4114 98060 male 175.5 77.9
4115 98061 male 178.5 74.1
4116 98062 female 157.6 79.9
4117 98063 female 93.2 14.4
4118 98065 female 160.3 51.2
4119 98066 male 176.9 67.0
4120 98068 female 153.8 50.9
4121 98069 female 85.8 11.4
4122 98070 male 108.9 15.4
4123 98071 female 167.3 66.2
4124 98072 male 121.8 24.4
4125 98073 female 143.9 40.4
4126 98074 male 89.2 14.7
4127 98075 female 175.0 74.2
4128 98076 female 90.9 13.5
4129 98077 male 175.5 77.5
4130 98079 male 150.4 37.4
4131 98080 male 118.1 19.9
4132 98081 male 163.5 62.4
4133 98082 female 164.0 93.8
4134 98083 female 161.2 59.3
4135 98084 female NA NA
4136 98085 male 164.1 84.1
4137 98087 female 152.2 62.6
4138 98088 male 179.0 96.4
4139 98089 male 129.1 27.8
4140 98090 female 147.4 53.0
4141 98091 female 102.4 17.7
4142 98092 male 162.5 85.9
4143 98093 male 123.8 23.0
4144 98094 female 155.7 94.2
4145 98095 female 147.6 62.4
4146 98096 female 152.4 61.5
4147 98097 male 178.5 109.9
4148 98098 female 109.8 18.4
4149 98099 male 182.2 81.6
4150 98100 male 171.3 115.9
4151 98101 male 170.4 83.9
4152 98102 female 157.3 72.0
4153 98103 male 175.0 71.5
4154 98104 male 98.0 13.0
4155 98105 male NA 12.9
4156 98106 female 149.1 71.1
4157 98107 male 173.5 96.2
4158 98108 male NA 11.5
4159 98109 male 159.9 59.9
4160 98110 male 179.3 95.4
4161 98111 female 171.7 84.0
4162 98112 female 91.7 11.5
4163 98113 female 167.0 123.5
4164 98114 female 159.1 61.4
4165 98115 female 105.0 18.8
4166 98116 male 113.6 26.3
4167 98117 female 142.7 39.1
4168 98118 male 125.4 21.2
4169 98119 female 168.0 91.6
4170 98120 female 165.7 110.8
4171 98121 male 173.7 79.5
4172 98122 male 171.7 62.1
4173 98123 male 112.9 19.3
4174 98124 male 170.3 71.8
4175 98125 female 152.5 59.1
4176 98128 female 141.0 41.7
4177 98129 female 157.9 51.4
4178 98130 male 167.5 103.3
4179 98131 female 157.3 95.3
4180 98132 male 175.4 75.9
4181 98133 female 140.8 59.0
4182 98134 male 167.3 66.7
4183 98135 female 163.3 128.5
4184 98136 female NA 8.6
4185 98137 female 155.8 59.3
4186 98138 male 169.4 85.7
4187 98139 male 172.6 76.3
4188 98140 female 85.6 12.1
4189 98141 female 149.7 77.8
4190 98142 male NA NA
4191 98143 female 165.5 54.4
4192 98144 female 157.1 58.0
4193 98145 female 172.6 65.3
4194 98146 male 181.3 65.0
4195 98147 male 186.1 99.9
4196 98148 female 161.6 56.7
4197 98149 male 160.9 49.4
4198 98150 male 166.0 66.2
4199 98151 female 123.1 25.1
4200 98152 male 175.9 78.7
4201 98153 male 154.4 53.8
4202 98154 male 129.9 35.2
4203 98155 male NA 10.4
4204 98156 female 154.4 72.0
4205 98157 female 127.2 22.4
4206 98158 male 181.6 63.0
4207 98159 male NA 7.1
4208 98160 female 117.2 30.4
4209 98161 female 161.0 92.1
4210 98162 female 149.5 57.0
4211 98163 female 166.4 104.7
4212 98164 female 160.9 67.8
4213 98165 male 177.2 110.2
4214 98167 female 117.6 23.9
4215 98168 female 173.6 70.1
4216 98169 female 152.7 75.0
4217 98170 female 162.9 75.1
4218 98171 female NA 6.7
4219 98172 male 173.9 79.8
4220 98173 female 144.2 71.7
4221 98174 male 161.2 98.3
4222 98175 female 149.0 77.3
4223 98176 male 169.6 69.9
4224 98177 female 163.6 58.1
4225 98178 male 181.4 87.4
4226 98179 male NA 4.4
4227 98180 male 165.7 107.8
4228 98181 male NA 9.9
4229 98182 female 84.4 10.9
4230 98183 female 107.8 18.7
4231 98184 female 162.8 79.8
4232 98185 female 142.8 36.2
4233 98186 female 166.4 63.5
4234 98187 female 168.2 64.3
4235 98188 male 142.8 31.7
4236 98189 male 171.0 68.6
4237 98190 male 163.7 81.9
4238 98191 female 88.2 11.1
4239 98192 male NA 6.9
4240 98193 female NA 7.9
4241 98194 female 144.6 72.6
4242 98195 male 183.1 75.3
4243 98196 male NA 8.8
4244 98197 male 171.3 91.2
4245 98198 male 166.8 89.7
4246 98199 female 166.1 63.0
4247 98200 female NA 14.7
4248 98202 male 163.3 92.6
4249 98203 male 171.9 81.0
4250 98204 male 182.9 72.7
4251 98205 female 165.1 83.1
4252 98206 male NA 12.7
4253 98207 male 188.1 123.7
4254 98208 female 168.1 65.7
4255 98209 male 183.3 90.0
4256 98210 male 190.1 76.0
4257 98211 male 170.5 83.9
4258 98212 female 160.8 55.4
4259 98213 male 184.5 73.0
4260 98214 female 162.0 75.2
4261 98215 female 159.1 76.9
4262 98216 male 170.9 80.1
4263 98218 female 165.0 50.9
4264 98219 female 118.3 24.2
4265 98220 male 182.7 151.0
4266 98221 male 179.7 79.3
4267 98222 female 167.2 63.7
4268 98223 male 178.9 112.2
4269 98224 female 153.0 50.7
4270 98225 male 181.5 121.8
4271 98226 female 148.6 49.1
4272 98227 female 157.0 70.2
4273 98228 female 163.7 173.4
4274 98229 female 151.1 52.8
4275 98230 female 155.7 45.6
4276 98231 female NA NA
4277 98232 male NA 13.7
4278 98233 male 142.7 30.3
4279 98234 male 105.1 16.5
4280 98235 female 145.1 41.5
4281 98236 female 146.4 46.8
4282 98237 male NA 9.4
4283 98238 female 166.5 85.6
4284 98239 female NA 9.2
4285 98240 male NA 9.3
4286 98241 male 178.4 79.5
4287 98242 female 173.0 91.9
4288 98243 male 168.9 94.6
4289 98244 male 169.3 49.6
4290 98245 female NA 10.5
4291 98246 female 131.2 27.7
4292 98247 male 120.0 22.3
4293 98248 female 117.7 23.4
4294 98249 male 153.8 36.1
4295 98250 male 185.0 90.3
4296 98251 male 189.5 123.5
4297 98252 male 172.1 65.3
4298 98253 female 149.9 57.4
4299 98254 female 93.9 15.5
4300 98255 female 155.3 66.6
4301 98256 female 163.0 75.7
4302 98257 male 168.8 57.7
4303 98258 male 185.9 97.8
4304 98259 female 165.3 185.0
4305 98260 male 175.2 62.6
4306 98261 male 115.4 25.1
4307 98262 male 176.6 83.0
4308 98263 female 139.3 50.1
4309 98264 male 177.0 104.9
4310 98265 male NA 11.1
4311 98266 female 161.0 93.0
4312 98267 male 167.5 71.1
4313 98268 male 173.5 69.1
4314 98269 male 171.6 58.7
4315 98270 female 163.3 115.2
4316 98271 male 165.7 79.0
4317 98272 male 175.3 128.0
4318 98273 male 135.5 27.2
4319 98274 female 159.2 109.3
4320 98275 male 101.8 18.8
4321 98276 male 126.7 29.4
4322 98277 female 162.2 58.1
4323 98279 female 126.8 26.8
4324 98280 female 161.4 71.3
4325 98281 male 113.3 20.8
4326 98282 male 148.2 37.0
4327 98283 female 143.9 40.0
4328 98284 female 165.2 146.6
4329 98285 female 170.8 66.5
4330 98286 male 91.5 17.1
4331 98287 female 164.8 96.6
4332 98288 male 169.1 91.5
4333 98289 male 166.9 83.3
4334 98290 male 151.5 62.0
4335 98291 male 106.9 18.6
4336 98292 female NA NA
4337 98293 female 171.0 106.0
4338 98294 male 142.2 43.5
4339 98295 female 157.0 66.8
4340 98296 male 160.3 51.1
4341 98297 female 138.6 49.3
4342 98298 female 158.8 111.3
4343 98299 male 170.1 83.7
4344 98300 female 163.0 91.8
4345 98301 female 163.2 83.9
4346 98302 male 166.6 86.9
4347 98303 female 155.8 68.9
4348 98304 female 156.4 50.7
4349 98305 female 164.4 57.3
4350 98306 male NA 11.3
4351 98307 female NA 9.6
4352 98308 male 163.8 68.4
4353 98309 female 163.2 61.7
4354 98310 female 157.8 100.8
4355 98311 female 166.0 72.0
4356 98312 male 124.0 30.8
4357 98314 male 175.0 112.7
4358 98316 female 171.8 93.3
4359 98317 male 149.5 43.9
4360 98318 male 185.2 118.5
4361 98319 female 100.6 15.7
4362 98320 female 162.9 97.8
4363 98321 female 91.3 12.9
4364 98322 female 164.5 114.7
4365 98323 female 176.0 61.6
4366 98325 male 172.5 85.4
4367 98326 female 163.8 54.1
4368 98327 female 148.6 45.9
4369 98328 female 157.2 64.4
4370 98329 female NA 4.7
4371 98330 male 174.7 96.0
4372 98331 female 156.4 46.5
4373 98332 female 153.6 84.8
4374 98333 male 169.5 77.3
4375 98334 male 172.8 87.4
4376 98335 female NA NA
4377 98336 female 178.0 110.1
4378 98337 female 119.3 22.4
4379 98338 male 163.8 53.9
4380 98339 male 169.1 102.6
4381 98340 female 156.4 54.6
4382 98341 male 168.4 54.1
4383 98342 female 128.8 27.1
4384 98343 female 151.8 52.6
4385 98344 male 169.7 NA
4386 98345 male 179.2 98.8
4387 98346 female 132.7 31.9
4388 98347 male 169.0 56.2
4389 98348 male 119.7 22.8
4390 98349 female 158.7 63.9
4391 98350 female 155.0 100.4
4392 98351 female 166.4 71.1
4393 98352 male 178.8 62.2
4394 98353 female 161.9 57.4
4395 98354 female 163.3 116.5
4396 98355 female 163.6 66.5
4397 98356 male 96.9 15.2
4398 98357 male 174.0 59.0
4399 98358 male 176.2 81.9
4400 98359 male 168.8 64.7
4401 98360 male 163.1 75.9
4402 98361 female NA 12.2
4403 98363 male 135.8 41.1
4404 98364 male 168.8 87.8
4405 98365 male 117.4 22.9
4406 98366 female NA NA
4407 98367 female 116.2 21.3
4408 98368 male 178.4 90.1
4409 98369 male 180.1 78.9
4410 98370 male 170.5 56.2
4411 98371 female 167.3 156.9
4412 98372 male 175.8 58.9
4413 98373 female 155.7 73.1
4414 98374 female 165.7 95.0
4415 98375 male 177.9 112.0
4416 98376 male 174.7 50.9
4417 98377 female 122.3 26.9
4418 98378 female 155.5 75.7
4419 98379 female 145.6 80.1
4420 98380 male 166.6 84.2
4421 98381 male 172.7 82.5
4422 98382 female 143.1 47.2
4423 98383 male 158.5 70.3
4424 98384 female 157.4 61.7
4425 98385 male 171.2 109.3
4426 98386 female 170.9 93.1
4427 98387 male 115.6 20.6
4428 98388 male 122.9 20.6
4429 98389 male 162.1 77.5
4430 98390 female 162.9 85.2
4431 98391 female 150.0 55.8
4432 98392 male 176.4 74.8
4433 98393 female 151.1 73.2
4434 98394 female 163.6 66.9
4435 98395 female 162.3 59.2
4436 98396 female 153.4 43.1
4437 98397 male 168.3 58.7
4438 98398 female 140.7 40.3
4439 98399 male 169.6 79.1
4440 98400 male 148.3 57.5
4441 98401 male 177.9 92.3
4442 98402 male NA NA
4443 98403 male 184.2 86.2
4444 98404 male 171.8 117.1
4445 98406 female 139.1 29.3
4446 98407 male 106.0 21.9
4447 98408 female 163.8 54.1
4448 98409 male 89.9 12.6
4449 98410 female 140.6 38.9
4450 98411 female 166.1 93.4
4451 98412 female 155.3 82.7
4452 98413 male 161.5 76.9
4453 98414 female NA 74.1
4454 98415 male 110.0 19.6
4455 98416 female 159.0 52.4
4456 98417 female 152.8 51.7
4457 98418 male 174.2 81.3
4458 98419 male 145.5 43.2
4459 98420 female 171.2 58.5
4460 98421 male 185.6 83.7
4461 98422 female 163.8 73.2
4462 98423 female 164.2 60.3
4463 98424 male 182.4 82.6
4464 98425 male 134.8 30.6
4465 98426 male 170.0 63.9
4466 98427 male 165.8 55.4
4467 98428 female 171.1 79.1
4468 98429 female 156.8 66.7
4469 98430 female 121.5 23.3
4470 98431 female 156.0 75.4
4471 98432 male NA 12.4
4472 98433 male 177.3 116.0
4473 98434 male 113.6 20.1
4474 98435 female 157.9 61.0
4475 98436 male 174.5 85.2
4476 98437 female 164.3 67.9
4477 98438 female 157.7 89.4
4478 98439 male 96.4 15.8
4479 98440 female 154.6 47.7
4480 98441 male 171.3 157.9
4481 98442 female 163.7 94.5
4482 98443 female 164.1 64.5
4483 98444 female 154.6 90.5
4484 98445 female 161.8 68.3
4485 98446 male 166.1 52.9
4486 98447 male 169.6 153.8
4487 98448 female 164.1 115.7
4488 98449 female 155.5 52.4
4489 98450 female 173.1 76.8
4490 98451 male 125.9 25.5
4491 98452 male 179.2 71.0
4492 98453 male 120.7 25.3
4493 98454 female 164.8 86.4
4494 98455 female 111.0 17.2
4495 98456 male 171.8 64.8
4496 98457 male 174.8 53.4
4497 98458 male 175.7 85.5
4498 98459 female 160.5 39.7
4499 98460 female 158.6 82.4
4500 98461 female 163.0 49.2
4501 98462 male 170.5 85.4
4502 98463 female 165.7 83.3
4503 98464 male 122.6 26.6
4504 98465 female 158.9 50.5
4505 98466 male NA 6.3
4506 98467 female 96.7 13.7
4507 98468 female 159.7 53.5
4508 98469 male 159.7 71.4
4509 98470 female 162.4 76.5
4510 98472 female 94.1 14.5
4511 98473 female 143.5 73.1
4512 98474 male 181.8 67.4
4513 98475 male 170.7 104.7
4514 98476 male NA 15.6
4515 98477 female 154.5 48.4
4516 98478 female 95.6 14.2
4517 98479 male 166.4 67.2
4518 98481 male 180.1 96.7
4519 98483 female 157.9 51.6
4520 98484 female 151.1 39.7
4521 98485 male 174.7 67.1
4522 98486 female 142.2 32.4
4523 98487 female NA 6.4
4524 98488 male 131.4 40.9
4525 98489 female 164.0 94.3
4526 98490 male 170.9 94.0
4527 98491 female 159.2 149.0
4528 98492 female NA 10.3
4529 98493 female 157.0 65.7
4530 98494 female 165.0 64.2
4531 98495 male 176.1 77.1
4532 98496 female 166.0 93.4
4533 98497 male NA NA
4534 98498 female 158.5 58.7
4535 98499 male 150.2 38.3
4536 98500 female 147.6 62.7
4537 98501 female 155.2 72.3
4538 98502 female 160.4 101.9
4539 98503 male NA 11.8
4540 98504 male 171.9 60.8
4541 98505 male 174.7 95.3
4542 98506 female 159.1 99.7
4543 98507 female 163.9 65.7
4544 98508 male 173.6 78.4
4545 98509 female 180.6 109.7
4546 98510 male 143.1 43.2
4547 98511 female 154.4 38.7
4548 98512 female 161.1 108.3
4549 98513 male NA NA
4550 98514 male 179.4 129.4
4551 98515 female 94.7 12.7
4552 98516 male 135.7 37.2
4553 98517 female 161.1 73.5
4554 98518 male 95.3 17.7
4555 98519 female NA 10.4
4556 98520 male 163.4 62.5
4557 98521 male 176.0 95.2
4558 98522 male 176.3 149.0
4559 98523 male 167.4 111.4
4560 98524 female 159.1 91.5
4561 98525 male 89.4 13.6
4562 98526 male 167.4 68.1
4563 98527 female 149.9 44.8
4564 98528 male 169.8 96.8
4565 98529 female 161.7 60.8
4566 98530 male 171.4 96.9
4567 98531 female 152.4 49.1
4568 98532 female 92.1 12.8
4569 98533 female 95.2 14.6
4570 98535 female 154.7 52.5
4571 98536 female 149.6 55.4
4572 98537 female 157.0 79.0
4573 98539 female 98.2 14.5
4574 98540 male 164.2 44.1
4575 98541 female 160.2 86.5
4576 98542 female 163.0 84.3
4577 98543 female NA 8.0
4578 98544 female 164.7 59.5
4579 98545 female 156.4 59.5
4580 98546 female 141.8 34.5
4581 98547 male 133.2 25.2
4582 98548 male 155.4 70.2
4583 98549 female 157.9 76.3
4584 98550 male 180.8 133.4
4585 98551 female 163.6 74.8
4586 98552 female NA 11.4
4587 98553 female 159.3 58.2
4588 98554 female 170.2 64.6
4589 98555 male 180.4 113.5
4590 98556 male 168.6 67.0
4591 98557 male 168.4 61.8
4592 98558 female 161.0 73.3
4593 98559 female 136.4 40.5
4594 98560 male 172.6 56.8
4595 98561 male 178.4 114.9
4596 98562 female 156.9 71.9
4597 98563 female 164.0 62.3
4598 98564 female 168.3 68.5
4599 98565 female 154.3 52.5
4600 98566 female 102.3 14.8
4601 98567 female 127.3 27.2
4602 98568 male 178.8 97.0
4603 98569 male 168.2 61.8
4604 98570 male NA 8.3
4605 98571 female 174.5 91.6
4606 98572 female NA 4.5
4607 98574 female 187.8 88.7
4608 98575 male 109.0 17.9
4609 98576 male 121.7 24.2
4610 98577 female 151.9 49.0
4611 98578 female 158.2 48.0
4612 98579 female 156.0 61.4
4613 98580 female 94.0 13.6
4614 98581 female 155.0 85.2
4615 98582 female 129.8 26.0
4616 98583 male 163.5 70.0
4617 98584 female 167.2 98.1
4618 98585 female 162.9 50.3
4619 98586 male 165.0 56.2
4620 98587 female 153.8 45.3
4621 98588 male 117.0 21.8
4622 98589 female 165.2 144.0
4623 98590 female 155.9 81.9
4624 98591 female 157.0 56.5
4625 98592 female 149.5 54.7
4626 98594 female 160.8 111.1
4627 98595 female 157.7 71.2
4628 98596 male 164.5 48.9
4629 98597 female 147.8 79.7
4630 98598 male 167.9 62.4
4631 98599 male 170.2 75.1
4632 98600 male 170.3 55.5
4633 98601 female 159.0 74.7
4634 98602 female 156.7 83.0
4635 98603 female 159.4 89.0
4636 98604 male 143.0 28.4
4637 98605 female 163.5 135.8
4638 98606 male 168.9 80.1
4639 98607 female 125.5 21.6
4640 98608 male 177.4 102.9
4641 98609 female 169.2 77.5
4642 98610 male 170.5 105.7
4643 98611 female 158.5 68.2
4644 98613 male 132.1 27.6
4645 98614 female 170.7 70.6
4646 98615 male 177.3 93.3
4647 98616 female 154.5 46.2
4648 98617 female 150.5 69.3
4649 98618 male 173.4 72.8
4650 98619 male NA 11.3
4651 98620 male 134.2 28.9
4652 98621 male NA 15.1
4653 98622 female 163.2 89.8
4654 98623 female 160.1 58.6
4655 98624 male 177.2 98.4
4656 98625 male NA 8.3
4657 98627 male 164.2 65.3
4658 98628 male 175.0 88.2
4659 98629 male 188.6 97.4
4660 98630 male 167.6 101.1
4661 98631 female 163.3 69.1
4662 98632 male 107.7 18.8
4663 98634 female 164.0 70.2
4664 98635 male 155.3 68.6
4665 98636 female 91.3 14.9
4666 98638 male 168.5 67.1
4667 98639 male 117.2 21.9
4668 98640 male 155.7 59.3
4669 98641 male 173.1 78.7
4670 98642 male 157.8 45.4
4671 98643 male 142.3 49.7
4672 98644 female 144.2 34.0
4673 98645 female 159.6 75.6
4674 98646 female 154.0 72.9
4675 98647 male 138.4 48.6
4676 98648 female 152.2 71.8
4677 98649 male 172.5 71.3
4678 98650 male 156.9 69.3
4679 98651 female 155.8 73.1
4680 98652 male 90.5 15.5
4681 98653 male 171.0 104.1
4682 98654 male 184.0 119.8
4683 98656 male 187.3 110.5
4684 98657 male 177.0 82.6
4685 98658 male NA 10.3
4686 98659 female 126.5 23.0
4687 98660 male 91.2 14.4
4688 98661 female 168.5 44.6
4689 98662 female 155.2 70.8
4690 98663 female 108.2 17.5
4691 98664 male 125.4 36.8
4692 98666 male 189.1 105.8
4693 98667 female 155.6 64.6
4694 98669 male 162.3 94.3
4695 98671 female 158.7 61.4
4696 98672 female NA 10.5
4697 98673 female 151.1 63.4
4698 98674 male 118.9 22.2
4699 98675 male 164.9 62.3
4700 98676 male 163.7 63.1
4701 98677 male 175.3 119.3
4702 98678 male 139.3 32.5
4703 98679 male 170.9 70.0
4704 98680 female 154.7 100.6
4705 98681 female 153.9 71.4
4706 98682 male 162.7 74.6
4707 98684 male 177.1 85.5
4708 98685 female 170.8 81.6
4709 98686 male 97.9 16.7
4710 98687 female 159.0 66.6
4711 98688 female 171.6 93.2
4712 98689 male 171.4 89.2
4713 98690 male 172.8 107.4
4714 98691 male 167.6 81.8
4715 98692 male 178.4 76.0
4716 98693 female 159.0 77.6
4717 98694 female 159.7 92.0
4718 98695 male 178.9 53.2
4719 98696 female 140.1 47.9
4720 98697 male 173.8 56.7
4721 98698 female 159.2 52.5
4722 98699 female 164.0 65.9
4723 98700 female 133.9 55.7
4724 98701 female 157.0 70.5
4725 98702 female 158.6 60.5
4726 98703 female 160.2 115.2
4727 98704 male 137.9 36.0
4728 98705 male 179.0 82.0
4729 98706 female 93.8 14.9
4730 98707 female 168.4 73.5
4731 98708 male 170.9 55.6
4732 98710 male 171.4 120.9
4733 98711 male 178.1 100.2
4734 98712 female 121.7 20.6
4735 98713 female 170.6 80.3
4736 98714 female 161.3 110.3
4737 98715 female 159.9 60.7
4738 98716 female 159.3 112.5
4739 98717 male 165.2 64.6
4740 98718 female 152.9 66.0
4741 98720 male 172.6 90.7
4742 98721 female 160.5 90.1
4743 98722 female 166.3 133.8
4744 98723 male 101.9 17.3
4745 98724 male 155.3 79.6
4746 98725 male 161.3 70.9
4747 98726 male 187.2 89.4
4748 98727 female 108.4 18.9
4749 98728 male 177.7 93.8
4750 98729 female 149.2 44.5
4751 98730 male 133.0 30.9
4752 98731 male 103.1 14.9
4753 98732 male 168.8 80.2
4754 98733 female 166.7 83.4
4755 98734 male 180.2 113.8
4756 98736 male 100.2 17.2
4757 98737 female 102.1 15.2
4758 98738 female 132.3 36.5
4759 98739 male 139.4 40.4
4760 98740 male 182.5 87.5
4761 98741 female 160.8 90.8
4762 98742 female 143.8 59.9
4763 98743 male 164.6 75.8
4764 98744 female 155.5 77.7
4765 98745 female 172.5 71.0
4766 98746 female 171.1 98.2
4767 98747 male 175.2 66.5
4768 98748 male 172.4 54.7
4769 98749 male 180.8 101.2
4770 98750 female NA 10.9
4771 98751 male 160.4 54.3
4772 98752 male 178.7 120.9
4773 98753 male 177.3 80.8
4774 98754 male NA 5.5
4775 98755 female 156.3 61.9
4776 98756 male 164.3 67.0
4777 98757 male 169.4 78.0
4778 98758 female 111.0 19.1
4779 98759 male 162.5 57.2
4780 98760 female NA 5.8
4781 98761 female 104.6 17.0
4782 98762 male 178.6 112.6
4783 98763 female 163.4 79.5
4784 98765 male 105.3 22.1
4785 98766 female 102.4 20.2
4786 98767 female 158.7 62.5
4787 98768 female 162.5 88.2
4788 98769 male 180.1 81.6
4789 98770 female 167.1 146.2
4790 98771 male NA 4.7
4791 98772 male 177.5 86.4
4792 98773 male 168.6 98.1
4793 98774 female 119.9 38.7
4794 98775 male 169.3 87.7
4795 98776 female 189.3 152.6
4796 98777 male 121.4 24.6
4797 98778 male 168.5 61.0
4798 98779 female NA 6.9
4799 98780 male 181.3 125.3
4800 98781 female 162.1 93.1
4801 98782 female 158.9 74.1
4802 98783 female 169.1 126.3
4803 98784 female 169.8 102.0
4804 98785 male NA 3.2
4805 98786 male 172.5 50.6
4806 98787 female 135.8 46.2
4807 98788 female 167.7 106.7
4808 98789 female 152.1 59.0
4809 98790 male 175.9 106.0
4810 98791 male 184.9 73.9
4811 98792 male 124.1 22.3
4812 98793 female 152.8 53.5
4813 98794 male 183.0 59.1
4814 98795 female 149.0 53.5
4815 98796 female 162.5 60.3
4816 98797 female 150.1 50.1
4817 98798 female 134.7 24.2
4818 98799 female 170.2 125.9
4819 98800 female 121.4 20.3
4820 98801 male 175.4 61.2
4821 98802 male 162.9 51.6
4822 98803 male 168.4 127.0
4823 98804 female 154.6 75.0
4824 98805 male 86.2 14.7
4825 98806 female 155.8 77.2
4826 98807 female 162.5 79.1
4827 98808 male 113.1 23.6
4828 98809 female NA 11.7
4829 98810 female 154.6 91.0
4830 98811 male NA 9.8
4831 98812 female 160.9 60.7
4832 98813 male 158.8 71.8
4833 98814 male 174.8 88.0
4834 98815 female 151.3 47.6
4835 98816 female 152.8 51.0
4836 98817 female 163.3 52.8
4837 98819 female 155.7 111.7
4838 98820 male 172.8 101.0
4839 98821 female 167.4 78.1
4840 98822 male 173.5 84.7
4841 98823 female 145.4 71.9
4842 98824 male 173.6 92.8
4843 98825 female 128.5 29.8
4844 98826 female 92.3 13.3
4845 98827 female 169.8 77.2
4846 98828 female 162.9 103.6
4847 98829 male 181.3 89.4
4848 98830 male 175.9 102.8
4849 98831 male NA 7.0
4850 98832 female 171.9 79.5
4851 98833 female 147.3 56.3
4852 98834 female 166.6 56.5
4853 98835 male 168.1 61.7
4854 98837 male NA NA
4855 98838 female 149.9 51.7
4856 98839 female 152.0 66.1
4857 98840 female 159.3 89.1
4858 98841 female NA 7.1
4859 98842 male 171.2 61.7
4860 98843 male 163.3 60.3
4861 98844 male 174.6 82.7
4862 98845 female 161.0 77.3
4863 98846 female 169.2 83.3
4864 98847 male 177.5 111.3
4865 98848 female 146.6 48.1
4866 98849 male 128.8 27.8
4867 98850 male 136.7 44.2
4868 98851 female 160.4 55.7
4869 98853 male 166.9 69.9
4870 98854 male 167.9 80.9
4871 98855 female 123.0 25.3
4872 98856 female 128.5 38.7
4873 98857 male 165.9 67.0
4874 98858 female 164.0 89.9
4875 98860 male 120.0 24.1
4876 98861 female NA 10.9
4877 98862 female 120.4 26.1
4878 98863 male NA 50.6
4879 98864 male 166.7 93.6
4880 98865 male 179.5 72.0
4881 98866 male 176.5 65.2
4882 98867 male 174.1 88.5
4883 98868 male 169.9 67.7
4884 98869 male 178.7 78.5
4885 98870 female 166.4 72.6
4886 98871 male 134.8 27.0
4887 98872 female 157.3 98.2
4888 98873 female NA 12.1
4889 98874 female 99.0 15.1
4890 98875 female 130.0 24.3
4891 98876 male 171.3 64.6
4892 98877 male 164.1 62.0
4893 98878 female 156.9 74.5
4894 98879 female 106.0 19.5
4895 98880 male 169.6 90.4
4896 98881 male 107.2 18.3
4897 98882 male NA 10.3
4898 98883 female 158.6 59.1
4899 98884 male 176.7 90.6
4900 98885 male 169.4 82.0
4901 98886 male 140.3 36.5
4902 98888 female NA 8.5
4903 98889 female 132.0 39.5
4904 98890 male 166.0 63.5
4905 98891 female 148.1 63.1
4906 98892 male 177.5 70.8
4907 98893 male 154.8 70.7
4908 98894 male 183.5 85.7
4909 98895 male 176.0 102.0
4910 98896 male 166.4 119.2
4911 98897 male NA 7.6
4912 98898 male 172.2 81.4
4913 98899 female 157.9 86.4
4914 98900 male 175.7 82.3
4915 98901 male 172.3 103.6
4916 98902 female 165.2 51.5
4917 98903 female 158.8 86.2
4918 98904 female 157.8 47.5
4919 98905 male 172.6 75.7
4920 98906 male 171.9 70.4
4921 98907 male 177.2 77.2
4922 98908 male 140.4 49.4
4923 98909 male 174.4 78.7
4924 98910 male 179.4 69.5
4925 98911 female 142.5 36.6
4926 98912 male 156.9 54.9
4927 98913 female 163.9 78.4
4928 98914 female 166.1 83.4
4929 98915 female 109.4 17.5
4930 98916 male 176.4 64.2
4931 98917 female 161.0 74.9
4932 98918 male 166.7 54.4
4933 98919 female 162.8 81.9
4934 98920 male 187.0 101.1
4935 98921 female 164.0 104.8
4936 98922 male 181.7 69.0
4937 98923 female 159.8 104.7
4938 98924 male 177.8 71.0
4939 98925 female 167.5 106.1
4940 98926 female 152.6 50.9
4941 98927 female 152.6 63.5
4942 98928 male 153.1 73.5
4943 98929 male 166.2 96.5
4944 98930 female 129.8 28.5
4945 98931 female 156.7 69.7
4946 98932 male 158.4 88.1
4947 98933 female 163.7 52.9
4948 98934 female 145.5 59.3
4949 98935 male 171.7 110.3
4950 98936 male 177.7 61.9
4951 98937 female NA 10.6
4952 98938 female NA NA
4953 98940 female 148.7 61.6
4954 98941 female 146.0 50.2
4955 98942 male 153.3 86.1
4956 98943 male 137.1 36.6
4957 98944 male 178.6 119.9
4958 98945 male 189.7 140.2
4959 98946 female 149.4 73.6
4960 98947 male 164.3 63.2
4961 98948 male 181.9 115.6
4962 98949 male 102.8 16.5
4963 98950 female 138.7 31.7
4964 98951 female 161.4 88.8
4965 98952 male 165.8 80.0
4966 98953 female 158.3 50.3
4967 98954 female NA 16.7
4968 98955 male 169.2 91.7
4969 98956 male NA 6.0
4970 98957 male 163.1 81.6
4971 98958 female 149.0 39.8
4972 98959 male 164.6 72.4
4973 98960 male 180.5 118.4
4974 98961 female 154.1 52.8
4975 98962 female 160.9 57.8
4976 98963 female 155.3 43.3
4977 98964 male 180.7 84.3
4978 98965 female 151.3 92.9
4979 98966 female 159.8 76.4
4980 98967 female 157.8 44.3
4981 98968 male 182.0 119.1
4982 98969 male NA 11.2
4983 98971 female 155.6 79.5
4984 98972 female 166.3 67.2
4985 98973 female NA 12.5
4986 98974 male 118.1 26.8
4987 98975 male 176.8 96.3
4988 98976 female 156.0 59.3
4989 98977 female 152.2 59.6
4990 98978 male 152.5 47.4
4991 98979 male 133.4 28.5
4992 98980 male 162.8 83.7
4993 98981 male 174.2 46.9
4994 98982 female 158.4 53.8
4995 98983 male NA NA
4996 98984 male 126.0 31.2
4997 98985 female 165.1 51.3
4998 98986 female 156.6 50.2
4999 98988 female 157.5 92.8
5000 98989 female 154.2 100.1
5001 98990 male NA NA
5002 98992 male 173.0 127.6
5003 98993 female NA 9.9
5004 98994 male 185.0 116.8
5005 98995 female 172.2 77.0
5006 98996 female 158.0 66.4
5007 98997 male 171.8 67.4
5008 98998 female 159.2 96.3
5009 98999 female NA 11.0
5010 99000 male 112.2 18.2
5011 99001 male 166.1 78.4
5012 99002 male 168.1 88.1
5013 99003 female 170.9 76.9
5014 99004 male 161.5 49.0
5015 99005 female 168.1 108.1
5016 99006 female 149.7 40.5
5017 99007 male 164.8 74.4
5018 99008 male 127.8 26.7
5019 99009 female 165.5 74.2
5020 99010 male NA 6.7
5021 99011 male 175.0 56.7
5022 99012 female 147.9 58.5
5023 99013 female 159.2 52.8
5024 99014 male 173.4 100.5
5025 99015 male 170.1 74.0
5026 99016 male 175.1 70.1
5027 99017 female 95.4 17.3
5028 99018 female 161.0 82.8
5029 99019 female 168.4 131.9
5030 99020 male 86.9 11.8
5031 99021 male 101.5 16.2
5032 99022 male NA NA
5033 99023 male 180.0 77.1
5034 99024 female 166.7 64.6
5035 99025 female 159.5 56.0
5036 99026 female 161.0 59.9
5037 99027 female 143.6 68.1
5038 99028 female 155.2 84.6
5039 99029 male 179.1 76.6
5040 99030 female 120.7 25.7
5041 99032 female 141.2 29.4
5042 99033 male 163.8 75.7
5043 99035 female 122.5 23.1
5044 99036 male 168.8 94.3
5045 99037 female 155.4 52.2
5046 99038 female 165.0 92.1
5047 99039 female 172.3 87.5
5048 99040 male 133.9 35.1
5049 99041 female NA NA
5050 99042 male 174.3 61.1
5051 99043 male 177.3 73.5
5052 99044 female 160.9 97.7
5053 99045 female NA 12.1
5054 99046 female 157.8 85.1
5055 99047 female 144.9 46.6
5056 99048 male 156.7 42.4
5057 99049 male 118.7 21.2
5058 99051 female 157.7 53.0
5059 99053 female 127.0 25.9
5060 99054 female NA 9.3
5061 99055 female 148.2 42.6
5062 99056 female 146.1 60.1
5063 99057 male 172.3 76.0
5064 99058 female 156.2 51.3
5065 99059 female 129.6 29.5
5066 99060 male 184.7 140.9
5067 99061 male 92.2 12.5
5068 99062 female 144.8 57.0
5069 99063 male 187.8 90.0
5070 99064 female 162.2 89.0
5071 99066 male 173.7 81.0
5072 99067 male 174.0 66.1
5073 99068 male 177.4 67.8
5074 99069 female 153.5 89.1
5075 99070 male 175.0 79.0
5076 99071 female 154.0 51.6
5077 99072 male 116.6 26.1
5078 99073 female 111.9 23.2
5079 99074 male 160.8 69.0
5080 99075 male 92.1 13.0
5081 99076 male 133.3 34.7
5082 99077 male 97.9 17.0
5083 99078 female 98.2 14.7
5084 99079 female 123.6 37.8
5085 99081 male 165.6 60.5
5086 99083 male 175.5 62.3
5087 99084 female 166.6 92.3
5088 99085 male 144.7 62.6
5089 99086 male 135.0 32.8
5090 99087 male 149.8 56.6
5091 99088 female 116.2 26.3
5092 99089 female 158.2 61.4
5093 99091 male 172.8 105.8
5094 99093 female 86.6 12.3
5095 99094 male 123.9 25.5
5096 99095 female 152.9 45.8
5097 99096 female 167.9 62.7
5098 99098 female 169.1 83.1
5099 99099 female 156.3 91.4
5100 99100 male 172.6 108.8
5101 99101 female 147.2 67.6
5102 99102 male 166.0 81.3
5103 99103 male 174.8 83.2
5104 99104 female 166.9 68.4
5105 99105 female 164.6 63.9
5106 99106 male 116.7 24.2
5107 99107 female 158.6 54.5
5108 99108 male 180.8 84.5
5109 99109 female 115.0 23.0
5110 99110 female 146.6 43.2
5111 99111 female 166.3 66.9
5112 99112 female 117.1 21.3
5113 99114 male 167.8 75.9
5114 99115 female NA 15.4
5115 99116 female 160.8 52.4
5116 99117 female 155.9 72.9
5117 99118 female NA 8.4
5118 99119 female 103.7 15.6
5119 99120 male 179.1 107.0
5120 99121 female 158.1 82.7
5121 99123 male 157.0 43.7
5122 99124 male 150.6 40.7
5123 99125 female 148.6 48.8
5124 99126 male 149.9 62.3
5125 99127 female 151.6 50.9
5126 99128 male 179.6 80.8
5127 99130 male 176.3 126.4
5128 99131 female 165.2 143.5
5129 99132 female NA 5.2
5130 99133 male 166.1 92.5
5131 99134 male 165.8 52.1
5132 99135 female 165.3 65.1
5133 99136 male 173.6 80.3
5134 99137 male 90.4 14.8
5135 99138 male 175.6 73.4
5136 99139 female 155.4 77.2
5137 99140 female 164.9 80.1
5138 99141 female 131.6 25.3
5139 99142 female 123.1 29.3
5140 99143 female 90.3 12.8
5141 99144 female NA NA
5142 99145 male 108.5 18.7
5143 99146 male 89.4 13.6
5144 99147 male NA 12.6
5145 99148 female 155.9 55.8
5146 99149 female NA NA
5147 99151 female 162.2 69.2
5148 99152 female 162.2 121.1
5149 99153 female 165.3 61.8
5150 99154 male 175.1 94.6
5151 99155 male 182.1 79.0
5152 99156 male 157.1 55.3
5153 99157 female 154.9 50.4
5154 99158 female 97.7 18.5
5155 99159 female 154.2 60.7
5156 99160 female 165.9 83.1
5157 99161 female NA 9.6
5158 99162 male NA 4.7
5159 99163 female 78.5 9.5
5160 99164 female 150.8 52.3
5161 99165 female 165.3 61.8
5162 99166 female 139.6 29.2
5163 99167 female 160.4 79.1
5164 99168 female 152.7 53.5
5165 99169 male 181.7 79.0
5166 99170 female 123.0 25.2
5167 99171 male 172.3 84.2
5168 99172 male 163.5 73.3
5169 99173 male 169.4 59.1
5170 99174 female 160.5 82.4
5171 99175 male 178.3 73.2
5172 99176 female 147.4 54.8
5173 99177 female NA 5.4
5174 99178 male 162.0 74.3
5175 99179 female 158.0 48.1
5176 99181 male 176.3 74.4
5177 99182 female 167.7 79.7
5178 99183 male 181.6 113.0
5179 99184 male 179.8 59.0
5180 99185 male NA 6.5
5181 99186 male 169.7 91.8
5182 99187 male 167.3 102.9
5183 99188 male 176.3 78.1
5184 99189 male 186.7 85.2
5185 99190 female 154.5 63.5
5186 99191 female 155.8 62.2
5187 99193 female 150.5 84.5
5188 99194 female 154.5 75.9
5189 99195 male 179.5 164.2
5190 99196 female NA 11.0
5191 99197 female 154.7 54.0
5192 99198 female 162.5 76.2
5193 99199 male 173.7 56.4
5194 99200 female 159.8 93.8
5195 99201 female 162.3 66.0
5196 99202 female 132.5 43.1
5197 99204 female 145.6 60.2
5198 99205 female 147.1 48.7
5199 99206 male NA 6.9
5200 99207 female 150.2 66.7
5201 99208 male 175.5 89.6
5202 99209 female 160.0 55.9
5203 99210 male 164.9 115.2
5204 99211 male 172.4 76.8
5205 99212 male 174.9 76.9
5206 99213 female 134.3 42.1
5207 99214 male NA 11.7
5208 99215 male 165.9 71.4
5209 99216 female 90.8 17.8
5210 99217 male 175.2 58.4
5211 99218 male 125.8 30.3
5212 99219 male 146.9 33.6
5213 99220 female 162.5 76.7
5214 99221 male 174.8 72.1
5215 99222 female 154.0 68.2
5216 99223 female 159.4 63.5
5217 99224 female 161.8 94.0
5218 99225 female 164.4 46.8
5219 99226 female 157.8 73.6
5220 99227 male 160.7 79.8
5221 99228 female 152.5 61.5
5222 99229 female NA NA
5223 99230 female 164.5 90.4
5224 99231 female 160.4 76.5
5225 99232 male 176.3 117.8
5226 99233 female 154.6 49.6
5227 99234 male 173.5 99.3
5228 99235 female 81.6 10.8
5229 99236 male 122.8 22.9
5230 99237 female 150.3 57.9
5231 99238 female 159.3 46.7
5232 99239 female 153.9 113.6
5233 99240 female 166.7 49.9
5234 99241 male 171.8 99.4
5235 99242 female 160.4 69.4
5236 99243 male 160.1 74.7
5237 99245 male 145.4 33.6
5238 99246 female 155.0 75.3
5239 99247 male 174.8 100.8
5240 99248 male 167.4 67.9
5241 99249 female 152.7 69.0
5242 99250 female 131.6 25.4
5243 99251 male 175.0 89.6
5244 99252 male 90.5 13.0
5245 99253 female 129.9 27.6
5246 99254 male 122.5 27.2
5247 99255 female 156.7 140.5
5248 99256 male 171.7 85.4
5249 99257 female 155.0 78.9
5250 99258 male 189.1 123.0
5251 99259 female 153.2 51.0
5252 99260 female 159.2 100.3
5253 99261 male 144.2 50.1
5254 99262 male 176.4 79.5
5255 99263 female 156.0 55.4
5256 99265 female 147.8 82.8
5257 99266 male 140.9 34.4
5258 99267 male NA 11.5
5259 99268 male NA 9.2
5260 99269 male 155.9 49.6
5261 99270 female 162.3 80.7
5262 99271 female 152.9 42.3
5263 99273 female 107.3 17.8
5264 99274 female 162.9 75.8
5265 99275 female 162.4 71.8
5266 99276 male 121.9 30.3
5267 99277 male 167.9 73.3
5268 99278 male 169.2 85.0
5269 99279 female 150.7 76.0
5270 99280 male 182.0 122.2
5271 99281 male 94.4 13.9
5272 99282 female 162.9 104.8
5273 99283 male 172.1 75.1
5274 99284 male 171.3 54.0
5275 99285 female 158.3 84.1
5276 99286 female 163.7 63.6
5277 99287 male 160.1 99.4
5278 99289 female 152.7 86.9
5279 99290 male 173.7 72.8
5280 99291 male 163.6 83.5
5281 99292 male 164.9 44.7
5282 99293 male 168.4 63.0
5283 99294 male 119.9 27.0
5284 99295 female 146.9 34.9
5285 99296 female 160.1 53.2
5286 99297 male 168.0 86.3
5287 99298 female 162.8 54.5
5288 99299 female 155.4 83.5
5289 99300 female 159.3 70.1
5290 99301 male NA 13.0
5291 99302 male 167.2 42.5
5292 99303 female 164.1 70.9
5293 99304 male 173.5 101.7
5294 99305 male 171.6 93.3
5295 99306 male 173.9 51.1
5296 99307 female 92.5 12.1
5297 99308 male 186.0 77.9
5298 99309 female 161.1 62.9
5299 99310 female 143.9 81.6
5300 99311 male 172.7 97.5
5301 99312 male 174.2 97.5
5302 99313 female 160.1 63.0
5303 99314 male 88.7 11.5
5304 99315 male 177.5 65.7
5305 99316 male 171.5 81.1
5306 99318 female 173.6 64.5
5307 99319 male 146.8 45.6
5308 99320 female 160.1 53.6
5309 99321 male 174.4 77.4
5310 99322 female 155.1 74.9
5311 99323 female 148.9 45.9
5312 99324 female 109.0 21.0
5313 99325 male 174.3 58.6
5314 99326 male NA 8.5
5315 99327 male 176.8 119.5
5316 99328 male 125.7 25.8
5317 99329 male 159.8 67.7
5318 99330 male 178.8 85.0
5319 99331 female 83.6 10.7
5320 99332 female 153.7 81.7
5321 99333 female 148.1 53.2
5322 99334 male 90.3 13.5
5323 99335 male 174.4 73.0
5324 99336 male NA 4.3
5325 99338 female 162.6 70.0
5326 99339 female 159.4 93.4
5327 99340 female 161.5 51.5
5328 99341 female 160.9 77.3
5329 99342 male 114.1 18.3
5330 99343 female 155.9 76.6
5331 99344 male 180.6 93.9
5332 99345 male 167.2 86.7
5333 99346 male 171.4 68.2
5334 99347 female 151.7 66.1
5335 99348 female 161.5 82.7
5336 99349 male 194.6 183.0
5337 99351 male 171.0 108.0
5338 99352 female 122.9 20.9
5339 99353 female 168.5 138.9
5340 99354 female 157.4 115.0
5341 99355 male 151.9 59.5
5342 99356 male 93.4 13.9
5343 99357 male NA 7.7
5344 99358 male 171.0 68.7
5345 99359 female 155.5 69.4
5346 99360 male 128.0 22.7
5347 99361 male 185.4 100.1
5348 99362 female 85.5 14.1
5349 99363 male 106.8 17.6
5350 99364 male 161.7 65.4
5351 99365 female 146.4 52.7
5352 99366 female 153.2 95.2
5353 99367 male 136.7 41.2
5354 99368 male 86.9 11.7
5355 99369 male 161.8 56.7
5356 99370 female 159.4 97.8
5357 99371 male 149.0 38.9
5358 99372 female 174.9 58.7
5359 99373 male 168.4 85.5
5360 99374 female 170.8 71.5
5361 99375 male 94.7 14.6
5362 99376 male 172.5 98.7
5363 99377 female 147.6 63.5
5364 99378 female 158.2 70.5
5365 99379 female 99.4 20.3
5366 99380 female NA NA
5367 99381 female NA NA
5368 99382 male 119.5 22.7
5369 99383 female 152.4 64.9
5370 99385 female 164.9 66.1
5371 99386 male 139.4 31.4
5372 99387 female 162.3 70.2
5373 99388 female 169.1 139.9
5374 99389 female 159.7 91.9
5375 99390 female 166.7 75.2
5376 99391 male 161.4 68.9
5377 99392 female 163.3 59.4
5378 99393 male 169.9 84.3
5379 99394 male 173.0 67.8
5380 99395 female 123.0 31.3
5381 99396 female 159.7 84.0
5382 99398 male 127.9 25.3
5383 99400 female 152.0 74.3
5384 99401 female 176.9 62.7
5385 99402 male 177.9 131.2
5386 99403 female 153.4 55.6
5387 99404 female 168.3 70.9
5388 99405 male 163.7 114.6
5389 99406 female NA 9.5
5390 99407 female 155.1 120.0
5391 99408 female 91.4 14.8
5392 99409 female 149.9 58.4
5393 99410 female 161.6 97.6
5394 99412 male 157.8 70.6
5395 99413 male 169.3 73.9
5396 99414 female 109.5 19.7
5397 99415 female 157.6 76.3
5398 99416 male 169.8 70.6
5399 99417 male 174.8 71.0
5400 99418 female 156.5 61.8
5401 99419 male 168.3 72.9
5402 99420 female 155.0 81.6
5403 99421 male 182.0 135.3
5404 99422 male 175.5 81.9
5405 99423 female NA 10.4
5406 99424 male 167.3 99.1
5407 99425 female 165.6 97.3
5408 99427 female 162.8 107.7
5409 99428 female 159.4 55.4
5410 99429 female 150.0 72.1
5411 99430 male 175.9 115.1
5412 99431 female 170.2 84.1
5413 99432 male 149.9 52.9
5414 99433 female 82.6 10.5
5415 99434 male 170.4 68.4
5416 99435 male 181.0 79.1
5417 99436 female 173.5 100.8
5418 99437 female 151.0 57.3
5419 99438 female 153.8 69.0
5420 99439 female 158.4 50.6
5421 99440 female 155.3 65.3
5422 99441 female 157.4 63.1
5423 99442 female 159.1 60.9
5424 99443 male 176.1 132.3
5425 99444 male 166.6 98.6
5426 99445 male 177.8 67.3
5427 99446 female 167.4 71.0
5428 99447 male 149.7 47.5
5429 99448 male 173.8 74.1
5430 99449 male 179.4 109.9
5431 99450 male 181.4 70.4
5432 99451 female 156.5 123.9
5433 99452 female 162.2 49.0
5434 99453 female 159.7 61.1
5435 99454 male 183.0 102.0
5436 99455 female 158.3 66.4
5437 99456 male 172.5 72.3
5438 99457 male 158.9 63.2
5439 99459 female 162.1 109.5
5440 99460 male 163.9 64.7
5441 99461 male 172.9 70.3
5442 99462 male 146.0 34.3
5443 99463 female 159.1 77.6
5444 99464 male 169.0 76.7
5445 99465 female 149.3 60.9
5446 99466 female 146.4 90.1
5447 99467 male 157.1 64.3
5448 99468 female 151.8 44.0
5449 99469 male 173.9 109.4
5450 99470 female 163.1 130.8
5451 99471 male 177.8 101.1
5452 99472 male 148.5 35.7
5453 99473 male 179.4 82.5
5454 99474 female 178.8 124.2
5455 99475 male 191.7 110.6
5456 99476 female 131.7 28.1
5457 99477 male 182.5 94.8
5458 99478 female NA 11.0
5459 99479 female 146.2 91.4
5460 99480 female 155.3 36.5
5461 99481 female 155.0 64.4
5462 99482 male NA 6.8
5463 99483 male 180.8 78.3
5464 99484 female 161.8 109.1
5465 99486 male 166.0 65.0
5466 99487 male 135.1 27.3
5467 99488 male 168.4 70.3
5468 99489 male 163.7 77.9
5469 99491 male 179.8 81.3
5470 99492 male 164.0 77.0
5471 99493 male 142.0 27.1
5472 99494 female 157.2 71.0
5473 99495 female 155.8 49.2
5474 99496 female 151.1 57.9
5475 99497 female 170.9 75.0
5476 99498 male 168.5 82.0
5477 99499 male 174.2 80.0
5478 99500 male 168.2 66.5
5479 99501 female 154.9 68.3
5480 99502 male 173.9 91.7
5481 99503 female 162.3 114.3
5482 99505 female 170.4 75.8
5483 99506 male 152.8 91.5
5484 99507 female 169.9 79.6
5485 99508 male NA 8.6
5486 99509 female 149.4 82.2
5487 99510 female 159.3 43.1
5488 99511 female 152.8 76.6
5489 99512 female 171.8 53.8
5490 99513 female 161.6 80.6
5491 99514 male NA NA
5492 99515 male NA 10.1
5493 99516 male 140.6 43.7
5494 99517 female 161.6 82.2
5495 99518 male 176.9 94.3
5496 99519 female 164.9 56.4
5497 99520 female 152.2 74.2
5498 99521 female 160.2 85.8
5499 99522 male 167.1 118.3
5500 99523 female 106.0 18.0
5501 99524 male 170.9 71.9
5502 99525 female 171.8 82.6
5503 99526 female 153.2 97.7
5504 99527 male 107.4 17.4
5505 99528 female 101.8 17.1
5506 99529 male NA 9.2
5507 99530 male 105.3 35.0
5508 99531 female 162.1 68.6
5509 99532 female 159.8 61.1
5510 99533 female 156.7 65.0
5511 99534 female 155.6 87.1
5512 99535 male 169.7 84.4
5513 99536 female 172.2 126.6
5514 99538 male 181.2 99.3
5515 99539 male 191.0 149.5
5516 99540 male 162.1 75.0
5517 99541 male 179.8 112.7
5518 99542 male 151.4 40.1
5519 99543 male 173.4 67.7
5520 99544 male 168.2 50.9
5521 99545 male 163.9 84.7
5522 99546 male 83.2 11.4
5523 99547 male 172.8 77.7
5524 99548 male 173.6 78.9
5525 99549 female 156.5 58.3
5526 99550 male 122.7 26.4
5527 99551 male 124.0 31.4
5528 99552 female 171.2 112.0
5529 99553 male 137.4 27.2
5530 99554 male 170.5 95.6
5531 99555 female 146.2 39.4
5532 99556 female 157.5 NA
5533 99558 female 114.8 19.4
5534 99559 female 147.1 82.3
5535 99560 female 122.4 25.6
5536 99561 female 130.9 32.9
5537 99562 male 115.0 21.3
5538 99563 male 178.2 92.5
5539 99564 female 158.8 59.5
5540 99565 male 172.7 80.0
5541 99566 female NA 5.6
5542 99567 male 166.9 55.3
5543 99568 female 155.8 45.7
5544 99569 female 123.3 24.5
5545 99570 male 145.8 45.7
5546 99571 female 146.0 65.2
5547 99573 male 174.6 74.3
5548 99574 male 185.7 115.1
5549 99575 female 155.1 73.5
5550 99576 male 118.5 25.0
5551 99577 female 166.1 84.2
5552 99578 male 141.2 48.7
5553 99579 male 180.0 72.6
5554 99580 male 167.3 74.9
5555 99581 female 137.8 30.8
5556 99582 male 144.7 60.3
5557 99583 female 158.7 51.7
5558 99584 male 168.9 86.7
5559 99585 male 181.9 92.5
5560 99586 female 134.0 30.2
5561 99587 male 176.1 93.0
5562 99588 female 161.2 68.0
5563 99589 male 184.3 120.6
5564 99590 female 164.2 96.9
5565 99591 female 160.8 49.7
5566 99592 female 106.7 16.8
5567 99593 male 178.4 71.2
5568 99594 female 130.6 42.7
5569 99596 male 167.0 79.1
5570 99597 male 167.4 87.0
5571 99598 male 141.0 50.2
5572 99599 female 180.4 90.6
5573 99600 female 153.0 68.8
5574 99601 female 144.7 53.0
5575 99602 female 155.5 101.1
5576 99603 male 170.6 102.9
5577 99604 male 161.6 64.2
5578 99605 male 179.1 135.4
5579 99606 female 152.2 107.2
5580 99607 female 138.3 42.8
5581 99608 female 144.8 51.0
5582 99609 male 182.9 141.3
5583 99610 male 166.0 95.5
5584 99611 female 151.0 52.6
5585 99612 male NA 15.4
5586 99613 male 179.4 88.9
5587 99614 male 155.3 71.4
5588 99615 female 160.6 115.4
5589 99616 female 168.0 179.2
5590 99617 male 179.5 65.4
5591 99618 male 177.3 64.0
5592 99619 male 159.9 76.1
5593 99621 male 162.7 69.7
5594 99622 female 165.3 96.7
5595 99623 male NA 8.8
5596 99624 male 184.5 92.7
5597 99625 male 176.5 88.2
5598 99626 female 90.3 12.0
5599 99627 male 117.2 18.9
5600 99628 female 162.2 56.2
5601 99629 female 165.8 99.1
5602 99630 male 180.2 101.5
5603 99631 male 168.1 63.3
5604 99632 male 189.4 71.4
5605 99633 male 181.2 120.6
5606 99634 female NA 11.1
5607 99635 female 152.5 96.2
5608 99636 female 157.1 121.3
5609 99637 male 178.5 86.5
5610 99638 male NA 10.0
5611 99639 female 167.5 60.4
5612 99640 male 119.7 31.0
5613 99641 male 187.2 79.4
5614 99643 female 151.4 53.9
5615 99645 female 151.4 69.4
5616 99647 male 165.0 77.5
5617 99648 female 121.6 24.4
5618 99649 female 121.6 24.1
5619 99650 female 99.1 15.6
5620 99651 male 130.1 22.2
5621 99652 male NA 10.2
5622 99653 male 160.6 70.7
5623 99654 male 109.5 18.3
5624 99655 male 172.2 80.0
5625 99656 female 106.7 19.3
5626 99657 female 115.7 22.3
5627 99658 female 151.5 83.3
5628 99659 female 158.0 61.5
5629 99660 male NA NA
5630 99661 female 158.3 62.0
5631 99662 female 164.9 98.2
5632 99663 male 184.4 59.1
5633 99664 female 113.0 19.8
5634 99665 female 152.0 69.4
5635 99666 male 107.2 20.4
5636 99667 male 91.9 15.4
5637 99668 male 179.2 89.1
5638 99669 female 148.3 43.5
5639 99670 male 174.2 96.3
5640 99671 female 150.0 43.2
5641 99672 female 157.6 59.5
5642 99673 female 88.0 12.6
5643 99674 male 167.6 85.2
5644 99675 female 151.3 103.3
5645 99676 female 154.1 60.8
5646 99677 male 175.9 57.7
5647 99678 female 159.6 63.1
5648 99679 male 172.9 90.1
5649 99680 male 174.4 72.5
5650 99681 female 169.5 77.1
5651 99682 male 178.3 82.1
5652 99683 female 147.0 73.3
5653 99684 female 144.1 49.7
5654 99686 male 188.6 78.9
5655 99687 male 127.4 24.4
5656 99688 male 123.1 20.9
5657 99689 male 180.9 77.4
5658 99690 female 150.8 50.7
5659 99691 female 166.0 64.9
5660 99692 male 100.0 14.7
5661 99693 female NA 8.5
5662 99694 male 176.3 101.8
5663 99695 female 161.7 127.9
5664 99696 female 160.3 53.4
5665 99697 female 159.1 82.1
5666 99698 female 163.5 93.0
5667 99699 male 159.9 84.3
5668 99700 male 159.3 65.0
5669 99701 male NA 8.7
5670 99702 male 183.7 68.2
5671 99703 female 155.7 61.1
5672 99704 male 105.7 30.2
5673 99705 female 159.1 90.2
5674 99706 female 149.8 35.5
5675 99708 female 165.5 73.3
5676 99709 male 179.8 74.7
5677 99710 female 163.3 58.2
5678 99711 female 160.7 72.3
5679 99712 male 130.0 28.2
5680 99713 male 173.1 52.6
5681 99714 female 157.8 92.7
5682 99715 female 160.5 122.1
5683 99716 male 162.8 77.1
5684 99717 female 157.7 72.8
5685 99718 female 149.5 48.3
5686 99719 female 162.8 52.0
5687 99720 male 176.7 80.2
5688 99721 female 174.0 74.8
5689 99722 female 90.4 14.4
5690 99723 male 160.8 91.6
5691 99724 male 175.5 84.5
5692 99725 male NA 12.8
5693 99726 female 154.8 61.1
5694 99727 female 167.3 71.5
5695 99728 female 160.9 58.4
5696 99729 male 145.7 41.4
5697 99730 male 145.6 31.4
5698 99731 male 109.5 21.4
5699 99732 female 164.3 65.5
5700 99733 female 89.0 11.9
5701 99734 male 128.8 23.3
5702 99735 male 181.0 72.4
5703 99736 male 175.8 96.9
5704 99737 female 157.8 77.9
5705 99738 male 130.3 27.0
5706 99739 male 179.3 57.5
5707 99740 male 164.7 59.4
5708 99741 male 171.0 83.1
5709 99742 male 173.3 100.5
5710 99743 female 150.7 71.1
5711 99744 female 172.3 67.0
5712 99745 male 164.7 87.6
5713 99746 female 96.7 14.3
5714 99747 female 148.0 79.0
5715 99748 female NA 5.2
5716 99749 female 176.6 123.3
5717 99750 female NA 4.2
5718 99751 female 164.0 90.8
5719 99752 male NA 10.2
5720 99753 female 142.6 32.6
5721 99754 male 167.2 79.6
5722 99755 male NA 6.7
5723 99756 female 122.4 28.2
5724 99757 female 154.6 47.7
5725 99758 female 160.3 71.4
5726 99759 male 166.1 105.3
5727 99760 male 181.4 123.4
5728 99761 female 158.8 51.4
5729 99762 female 170.5 81.7
5730 99763 female 154.6 57.7
5731 99765 female 160.0 66.6
5732 99766 male 167.7 70.9
5733 99767 female 87.4 12.9
5734 99768 female 166.4 120.0
5735 99769 female 153.6 56.3
5736 99770 male 162.4 55.3
5737 99771 female 160.4 59.1
5738 99772 female 161.0 133.0
5739 99773 male 171.9 100.6
5740 99774 female NA NA
5741 99776 male 180.9 119.9
5742 99777 male 190.1 102.1
5743 99778 male 175.6 69.2
5744 99779 female NA NA
5745 99781 male 110.7 20.8
5746 99782 female 163.2 62.8
5747 99783 male 165.0 92.9
5748 99784 male NA 19.5
5749 99785 female 153.7 81.8
5750 99786 male 181.6 99.4
5751 99787 female NA 3.9
5752 99788 male 178.1 60.3
5753 99789 male NA 8.9
5754 99790 male 178.2 78.7
5755 99791 male 127.8 37.1
5756 99792 male 168.1 77.0
5757 99793 female 164.3 78.2
5758 99795 female 153.3 122.1
5759 99797 male 177.2 54.8
5760 99798 male 176.9 114.9
5761 99799 female 163.8 66.0
5762 99800 male 172.0 89.5
5763 99802 female 155.8 52.1
5764 99803 female 161.2 58.0
5765 99804 male 181.6 95.8
5766 99805 male NA 9.3
5767 99806 female 145.1 76.3
5768 99807 male 168.2 76.9
5769 99808 female 158.7 77.0
5770 99809 female 95.0 17.9
5771 99810 male 160.8 54.2
5772 99811 female 149.8 76.5
5773 99812 male 139.1 39.0
5774 99813 male 173.3 77.5
5775 99815 female 163.4 121.1
5776 99816 female 152.8 97.2
5777 99817 female 165.3 72.5
5778 99818 male 149.1 53.3
5779 99819 male 175.7 89.8
5780 99820 male 154.2 62.1
5781 99822 female 166.2 52.4
5782 99823 male 100.4 15.7
5783 99824 female 165.1 63.6
5784 99825 male 183.3 109.2
5785 99826 male 186.4 119.8
5786 99827 female 101.9 15.9
5787 99828 female 155.5 39.3
5788 99829 male 156.4 57.2
5789 99830 male 175.7 71.8
5790 99831 male 171.4 92.2
5791 99832 male NA 12.5
5792 99833 male 161.6 69.6
5793 99834 male 167.2 59.2
5794 99836 male 170.7 62.2
5795 99837 male 112.1 18.5
5796 99838 female 152.4 83.7
5797 99839 male 178.9 97.5
5798 99840 female 159.0 64.1
5799 99841 male 155.4 71.7
5800 99842 male 177.6 98.9
5801 99843 female NA 11.8
5802 99844 male 176.0 120.7
5803 99845 male 121.8 23.1
5804 99846 male 94.4 14.4
5805 99848 female 170.9 69.4
5806 99849 male 95.7 15.4
5807 99850 male 105.1 17.9
5808 99851 female 150.4 57.9
5809 99852 female 169.3 85.8
5810 99853 male 179.5 83.6
5811 99854 female 163.8 105.7
5812 99855 male 167.3 108.9
5813 99856 male 166.9 85.8
5814 99857 female 153.3 86.6
5815 99858 male 182.4 136.6
5816 99859 male 107.7 17.9
5817 99861 female 164.6 56.2
5818 99862 male NA 10.8
5819 99864 female 168.3 124.3
5820 99866 male 179.2 150.9
5821 99867 male 166.9 66.4
5822 99868 female 153.3 92.5
5823 99869 male 174.3 77.4
5824 99870 male 174.7 96.3
5825 99871 female 161.6 99.5
5826 99872 female 165.5 88.5
5827 99873 male 161.4 67.8
5828 99874 male 161.1 62.0
5829 99875 female 156.2 102.1
5830 99876 male 180.9 100.3
5831 99877 male 128.8 31.2
5832 99879 female 159.0 49.7
5833 99880 male 143.7 42.6
5834 99881 female 165.8 56.0
5835 99882 female 159.2 60.4
5836 99883 male 169.4 83.7
5837 99884 male 174.2 95.8
5838 99885 female 177.7 75.7
5839 99886 female 164.1 68.3
5840 99887 female 170.7 76.1
5841 99889 female 126.6 25.8
5842 99890 female 158.1 99.0
5843 99891 female 161.6 53.7
5844 99892 female 165.4 58.0
5845 99893 female 159.0 76.9
5846 99894 male 159.2 73.7
5847 99895 male 162.8 90.2
5848 99896 male 163.4 79.9
5849 99897 female 113.9 20.2
5850 99898 male 187.2 142.4
5851 99899 male 174.7 94.8
5852 99900 male 173.2 76.8
5853 99901 female 159.2 110.7
5854 99902 male 165.9 85.1
5855 99903 male 106.0 14.7
5856 99905 male 174.2 90.3
5857 99907 female 149.5 58.5
5858 99908 female 159.1 80.1
5859 99909 male 175.3 85.4
5860 99910 female 156.4 56.4
5861 99911 female 156.8 60.4
5862 99912 male 168.7 74.1
5863 99913 male 177.0 109.0
5864 99914 female 157.1 85.1
5865 99915 male 175.4 64.9
5866 99916 male NA NA
5867 99917 female 150.1 40.1
5868 99918 female 160.4 67.2
5869 99919 male 176.8 63.9
5870 99920 female 172.7 84.6
5871 99921 female 157.6 69.9
5872 99922 male 182.0 96.0
5873 99923 male 125.9 24.4
5874 99924 female 157.0 52.4
5875 99925 male 173.0 82.9
5876 99926 female 160.6 83.9
5877 99927 male 152.1 110.1
5878 99928 male 168.7 128.0
5879 99929 male 187.8 95.9
5880 99930 female 158.5 53.9
5881 99931 female 155.4 58.1
5882 99932 male 168.8 78.2
5883 99933 male 181.3 141.7
5884 99934 female 165.6 157.4
5885 99935 female 170.2 91.0
5886 99936 male NA 7.8
5887 99937 female 152.3 63.8
5888 99938 female 161.6 51.5
5889 99939 female 160.5 62.1
5890 99940 male 129.9 41.5
5891 99941 female 160.2 85.1
5892 99942 female 158.2 67.3
5893 99943 male 141.0 57.4
5894 99944 male 135.6 43.4
5895 99945 female 153.4 54.6
5896 99946 male NA 10.6
5897 99947 female 163.9 90.9
5898 99948 female 156.2 59.3
5899 99949 female 154.6 80.8
5900 99950 male 179.6 93.6
5901 99951 female 157.9 67.4
5902 99952 male 175.8 95.5
5903 99953 male 176.3 84.1
5904 99954 male 159.6 57.1
5905 99956 female 108.0 20.8
5906 99958 male 101.4 17.4
5907 99959 male 171.9 112.0
5908 99960 female 154.0 46.1
5909 99961 female 164.0 65.4
5910 99963 male NA 8.7
5911 99964 female 167.4 79.1
5912 99965 male 123.9 29.4
5913 99966 female 153.5 55.7
5914 99967 female 157.7 59.5
5915 99968 female 155.4 85.1
5916 99969 male 178.4 94.6
5917 99970 male 157.7 32.8
5918 99971 male 173.9 75.1
5919 99972 female 155.6 50.1
5920 99973 male 172.4 69.9
5921 99974 female 163.8 54.6
5922 99975 male 169.8 84.6
5923 99976 female 146.9 37.1
5924 99977 female 158.3 94.9
5925 99978 male 98.4 17.7
5926 99979 female 150.6 45.6
5927 99980 female 136.0 27.7
5928 99981 female 98.4 15.9
5929 99982 male 175.1 63.4
5930 99983 female 171.6 150.6
5931 99984 female 164.9 87.7
5932 99985 female 165.5 67.5
5933 99986 female 162.3 101.9
5934 99987 male 161.4 86.3
5935 99988 male 174.9 91.9
5936 99989 female 166.1 89.2
5937 99990 male 172.1 97.7
5938 99991 male 163.6 69.6
5939 99992 female 168.8 105.8
5940 99994 female 149.5 64.9
5941 99995 female 170.3 55.2
5942 99996 female 164.2 84.6
5943 99997 female 149.2 61.8
5944 99998 female 149.5 38.6
5945 99999 male 180.4 94.2
5946 100000 female 156.0 73.9
5947 100001 male 176.4 96.0
5948 100002 female 137.5 44.5
5949 100003 female 165.0 62.5
5950 100004 female 159.2 60.2
5951 100005 male NA 8.3
5952 100006 female 127.1 25.5
5953 100007 female 179.8 78.2
5954 100008 female 156.5 73.3
5955 100009 female 153.5 86.5
5956 100010 male 170.5 NA
5957 100011 female 115.3 16.4
5958 100012 male 170.2 130.7
5959 100013 female 153.6 59.0
5960 100014 female 155.9 57.5
5961 100015 male 171.8 69.8
5962 100016 male 167.4 82.8
5963 100017 male 161.8 56.5
5964 100018 male 178.0 66.9
5965 100019 male 172.8 57.7
5966 100020 male 177.0 118.7
5967 100021 female 142.2 38.4
5968 100022 male 168.9 52.8
5969 100024 female 170.1 91.2
5970 100025 female 167.4 148.9
5971 100026 female 161.0 75.4
5972 100027 female NA 7.5
5973 100028 female 100.6 14.3
5974 100029 female 154.8 54.3
5975 100031 male 118.9 22.2
5976 100032 female 152.5 48.0
5977 100033 female 159.4 71.2
5978 100034 female NA 8.0
5979 100035 female 149.3 54.5
5980 100036 male 107.3 19.9
5981 100037 male 171.1 86.8
5982 100038 male 146.8 51.4
5983 100039 male 171.7 68.3
5984 100040 male 181.0 112.3
5985 100041 male 181.6 89.5
5986 100042 female 158.3 103.8
5987 100043 female 159.1 108.4
5988 100044 male 176.4 73.7
5989 100045 female 85.2 11.2
5990 100046 male 177.3 107.6
5991 100047 male 173.2 79.0
5992 100048 male 159.1 67.6
5993 100049 female 150.2 42.9
5994 100050 male 170.6 63.8
5995 100051 male 178.1 136.2
5996 100052 female 146.5 39.6
5997 100053 female 148.8 58.5
5998 100054 female 131.8 26.9
5999 100055 female 153.1 76.0
6000 100056 male 189.5 132.5
6001 100057 female 140.7 34.0
6002 100058 male 129.4 30.2
6003 100061 female 162.1 54.4
6004 100062 female 147.3 61.1
6005 100063 female 111.1 19.0
6006 100064 female 164.8 62.9
6007 100065 male 156.6 50.8
6008 100066 male 132.4 26.0
6009 100067 male 174.2 135.1
6010 100068 female 154.5 57.8
6011 100069 female 146.7 53.1
6012 100070 female 162.2 59.2
6013 100071 male 169.1 71.1
6014 100072 female 155.2 49.8
6015 100073 male 176.9 70.6
6016 100077 female 159.8 82.2
6017 100079 female 151.5 56.4
6018 100080 male 118.0 22.5
6019 100082 female 166.4 200.9
6020 100083 female 152.0 51.6
6021 100084 female NA 4.8
6022 100085 male 179.4 95.7
6023 100086 male NA 12.8
6024 100087 female 157.8 91.2
6025 100088 male 168.4 78.3
6026 100089 female 154.5 50.1
6027 100090 female 153.8 63.3
6028 100091 male NA 13.8
6029 100092 male 189.9 93.1
6030 100093 male 132.5 28.2
6031 100094 female 154.8 113.0
6032 100095 female 167.6 94.4
6033 100096 female 153.2 39.5
6034 100097 male 124.3 22.8
6035 100098 male 181.9 117.3
6036 100099 male 179.1 100.6
6037 100100 male 185.8 78.0
6038 100101 female 157.8 45.7
6039 100102 male 171.3 95.5
6040 100103 male 176.2 103.9
6041 100104 male NA 14.3
6042 100105 female 156.8 134.1
6043 100106 male 136.1 29.7
6044 100107 male 170.0 51.8
6045 100108 female 173.8 71.5
6046 100109 male NA 12.4
6047 100110 male 176.2 76.0
6048 100111 male 175.6 69.0
6049 100112 female 155.7 50.6
6050 100113 male 169.2 96.7
6051 100114 male 163.8 73.8
6052 100115 female 159.6 72.4
6053 100116 female 154.1 58.7
6054 100117 female 154.9 64.6
6055 100118 male 164.0 72.7
6056 100119 female 162.5 116.1
6057 100120 male NA 9.5
6058 100121 female 91.2 14.3
6059 100122 male 182.1 93.3
6060 100123 male 166.0 102.4
6061 100124 female 102.2 17.2
6062 100125 female 119.5 23.9
6063 100126 male 106.5 17.5
6064 100127 male 169.3 96.0
6065 100128 male 178.1 133.4
6066 100129 male 164.4 85.1
6067 100130 male 146.5 77.9
6068 100131 female 149.6 29.5
6069 100132 female 162.4 51.1
6070 100133 male 187.1 59.9
6071 100134 female 164.7 62.6
6072 100135 male 146.0 42.9
6073 100136 male NA 112.7
6074 100137 female 158.3 89.7
6075 100138 female NA 9.9
6076 100139 male 177.5 52.7
6077 100140 female 153.8 44.0
6078 100141 male 177.1 76.7
6079 100142 male 179.6 77.8
6080 100143 female 152.0 84.1
6081 100144 female 156.9 78.7
6082 100145 female 159.5 69.3
6083 100146 male 121.8 20.7
6084 100147 female 123.2 34.2
6085 100148 female 170.6 61.2
6086 100149 female 158.2 49.6
6087 100150 female 153.3 66.9
6088 100151 male 173.3 106.5
6089 100152 female 157.6 73.6
6090 100153 male 177.6 149.1
6091 100154 male 166.8 83.8
6092 100155 male 105.7 20.7
6093 100157 female 123.8 37.3
6094 100158 male 169.7 100.7
6095 100159 male 125.9 25.0
6096 100160 female 150.6 75.8
6097 100161 female 125.6 36.9
6098 100162 female 144.8 51.7
6099 100163 female 166.8 83.6
6100 100164 male NA 10.6
6101 100165 male 171.1 71.9
6102 100167 male 167.6 67.0
6103 100168 male 166.3 75.6
6104 100169 female NA NA
6105 100170 female 166.2 57.0
6106 100171 female 158.2 70.7
6107 100172 female 162.1 83.1
6108 100173 male 180.6 87.1
6109 100174 female 162.5 64.2
6110 100175 male 180.2 87.8
6111 100177 female 142.4 27.1
6112 100178 female 155.8 77.6
6113 100179 male 103.9 16.4
6114 100180 male 187.6 116.2
6115 100181 female 158.1 91.8
6116 100182 male 107.0 16.0
6117 100183 female 115.0 23.2
6118 100184 male 130.8 29.6
6119 100185 male 184.8 94.9
6120 100186 male 178.3 126.5
6121 100187 male NA NA
6122 100188 female 153.2 61.0
6123 100190 female 168.7 98.0
6124 100191 female 161.8 71.2
6125 100192 male 164.6 93.9
6126 100193 male 115.6 20.9
6127 100194 male 191.5 87.8
6128 100195 female 159.2 56.6
6129 100196 female 170.2 66.5
6130 100197 male 96.6 14.7
6131 100198 male NA 5.3
6132 100199 female 106.7 17.3
6133 100200 female 162.7 104.5
6134 100201 male 171.9 82.3
6135 100202 female 156.4 85.7
6136 100203 male 184.6 64.4
6137 100204 female 173.6 87.2
6138 100205 male 178.6 109.3
6139 100206 female 158.6 95.4
6140 100207 male 121.0 25.2
6141 100208 male 170.5 69.8
6142 100210 female 163.3 99.3
6143 100211 female 152.9 72.7
6144 100212 male 177.6 61.7
6145 100213 male 181.3 85.9
6146 100214 male 167.4 147.9
6147 100216 female 158.0 52.8
6148 100217 male 141.3 29.4
6149 100218 male 107.4 17.4
6150 100219 male 181.1 101.2
6151 100220 female 94.5 14.2
6152 100221 female 173.5 68.3
6153 100222 female 163.4 91.9
6154 100224 male 170.3 77.7
6155 100225 female 155.0 58.9
6156 100226 female 150.9 49.6
6157 100227 female 103.1 17.9
6158 100228 female 148.6 70.0
6159 100229 male 153.9 82.4
6160 100230 female 144.5 73.1
6161 100231 female 154.2 118.5
6162 100232 male 133.0 39.9
6163 100233 female 165.0 96.9
6164 100234 female 151.2 49.2
6165 100235 male 165.6 70.9
6166 100236 male 190.3 130.9
6167 100237 female 129.8 28.2
6168 100238 male 173.5 91.8
6169 100239 male 126.5 28.1
6170 100240 female 163.6 70.8
6171 100241 female 161.4 55.5
6172 100242 female 155.7 55.6
6173 100243 male NA NA
6174 100244 male 174.8 100.0
6175 100245 male 130.8 33.7
6176 100246 female 155.6 44.0
6177 100247 female 159.2 99.1
6178 100248 male 168.5 71.4
6179 100249 female 126.7 30.6
6180 100250 female 172.5 78.0
6181 100251 female 171.9 122.9
6182 100252 male 167.0 78.6
6183 100253 male 177.1 91.1
6184 100254 female 169.7 72.4
6185 100255 male 169.5 80.6
6186 100257 female 162.5 75.6
6187 100258 female 159.5 88.4
6188 100259 female 134.8 30.7
6189 100260 female 154.5 80.0
6190 100261 female 156.3 80.3
6191 100262 female 167.5 67.9
6192 100264 male 166.0 NA
6193 100265 female 160.2 52.9
6194 100266 female 164.6 49.8
6195 100267 female NA 8.6
6196 100268 female 154.4 67.4
6197 100269 female 163.3 76.4
6198 100270 male 178.3 91.3
6199 100271 female 159.8 81.1
6200 100272 male 185.4 121.4
6201 100273 male 175.4 56.6
6202 100274 female 156.8 94.9
6203 100275 female 141.8 56.5
6204 100277 female 164.2 96.3
6205 100278 female 167.3 84.6
6206 100280 female 161.2 101.3
6207 100281 female 152.9 97.7
6208 100282 male 189.2 95.5
6209 100283 female 149.4 99.6
6210 100284 male 171.7 61.7
6211 100286 female 170.1 96.1
6212 100287 female 157.3 54.5
6213 100288 female 162.1 106.2
6214 100289 male 176.5 100.1
6215 100290 male NA 9.7
6216 100291 female 164.3 86.2
6217 100292 female 155.0 125.5
6218 100293 female 161.2 75.0
6219 100294 female 166.9 71.9
6220 100295 male 175.4 75.8
6221 100296 female 138.8 31.4
6222 100297 male 175.0 85.5
6223 100298 female 168.8 103.6
6224 100299 female 165.7 112.1
6225 100300 female NA NA
6226 100301 female 164.4 99.5
6227 100303 male 170.3 79.0
6228 100304 male 115.5 25.3
6229 100305 male 176.2 120.6
6230 100306 male NA 3.9
6231 100307 female 125.2 25.7
6232 100308 female 88.3 13.3
6233 100309 female 161.8 76.0
6234 100310 female 137.4 30.4
6235 100311 male 166.5 91.1
6236 100312 female 141.7 34.7
6237 100313 female 169.5 57.4
6238 100314 male 134.5 24.6
6239 100315 male 177.9 104.1
6240 100316 male 163.4 43.9
6241 100317 female 97.4 14.2
6242 100318 male 175.5 112.4
6243 100319 female 165.3 119.2
6244 100320 male 104.9 25.3
6245 100321 male 171.1 83.6
6246 100322 male NA 18.9
6247 100323 female 135.9 28.3
6248 100324 female 154.1 69.2
6249 100325 female 161.8 66.3
6250 100326 female 153.7 92.3
6251 100327 male 177.4 75.3
6252 100328 male NA 8.3
6253 100329 female 158.3 84.2
6254 100330 male 100.0 15.8
6255 100331 male 102.4 18.2
6256 100332 male 169.5 69.0
6257 100333 male 161.7 72.6
6258 100334 male 173.3 81.6
6259 100335 male NA 14.3
6260 100336 male 179.7 65.9
6261 100337 male NA 3.8
6262 100338 male 176.8 75.4
6263 100339 male 146.0 54.9
6264 100340 female 107.9 18.7
6265 100341 male 151.5 34.4
6266 100342 male 172.6 97.5
6267 100343 male 132.8 31.4
6268 100344 female 120.2 24.6
6269 100345 female 133.8 28.0
6270 100346 female 148.4 52.2
6271 100347 male 175.0 83.5
6272 100348 female 156.1 84.8
6273 100349 male 109.2 18.6
6274 100351 male 165.6 53.7
6275 100352 male NA 9.3
6276 100353 male 170.6 49.5
6277 100354 female NA NA
6278 100355 male 140.5 30.7
6279 100356 female 173.7 92.7
6280 100357 female 152.5 76.1
6281 100358 female 165.6 101.7
6282 100360 female 152.1 51.2
6283 100361 male 176.4 115.4
6284 100362 female 157.5 67.8
6285 100363 male 176.6 92.7
6286 100364 female 156.6 44.1
6287 100365 female 156.9 63.7
6288 100366 male 164.6 61.5
6289 100367 male 176.3 66.5
6290 100368 male 147.8 35.5
6291 100369 female 147.2 61.0
6292 100370 female 119.1 20.1
6293 100371 male 108.3 19.2
6294 100372 female NA 10.7
6295 100373 male 166.8 63.0
6296 100374 female 123.2 28.6
6297 100375 male 140.1 31.3
6298 100376 male 178.0 84.9
6299 100377 male 160.9 69.6
6300 100378 female 148.1 116.6
6301 100379 male 176.7 67.0
6302 100380 male 173.4 174.4
6303 100381 female 99.2 14.4
6304 100382 male 170.9 141.6
6305 100383 male NA 10.8
6306 100384 female NA NA
6307 100386 female 159.1 100.2
6308 100388 female 150.5 96.3
6309 100389 female 159.2 78.7
6310 100390 female 165.9 70.3
6311 100391 female 160.6 56.6
6312 100392 female NA 9.1
6313 100393 male 173.8 105.5
6314 100395 female 154.9 79.5
6315 100396 female 153.8 62.3
6316 100397 male 91.9 11.9
6317 100398 female 146.9 30.5
6318 100399 female 156.4 81.7
6319 100400 male 129.8 41.0
6320 100401 female 105.9 19.5
6321 100402 female 155.0 69.5
6322 100403 female 139.6 31.0
6323 100404 female 153.5 59.7
6324 100405 male 184.9 84.1
6325 100407 male 174.4 85.0
6326 100408 female 125.9 25.9
6327 100409 female 157.9 57.5
6328 100410 female 165.5 88.1
6329 100411 male 179.9 80.5
6330 100412 female 159.5 75.2
6331 100413 male 171.7 47.1
6332 100414 male 166.0 79.7
6333 100415 female 159.4 71.5
6334 100416 female 87.6 12.9
6335 100417 female NA 13.4
6336 100418 male 179.1 74.5
6337 100419 male 172.7 114.6
6338 100420 male 180.5 97.5
6339 100421 female 159.4 57.8
6340 100422 male 181.5 65.7
6341 100423 male 137.9 30.8
6342 100424 female 160.9 60.6
6343 100425 male 173.9 111.8
6344 100426 male NA 11.3
6345 100427 female 150.8 74.6
6346 100428 female 149.8 68.0
6347 100429 male 173.5 90.5
6348 100430 male 156.4 45.4
6349 100431 female 163.3 116.3
6350 100432 male 169.0 89.0
6351 100433 male 164.9 73.5
6352 100434 female 152.5 104.5
6353 100435 female 147.3 39.3
6354 100436 female 149.7 112.7
6355 100437 male 121.7 23.8
6356 100438 female 159.7 60.5
6357 100439 male 159.6 65.7
6358 100440 female 154.3 61.3
6359 100442 female 165.2 116.9
6360 100443 male 173.7 134.1
6361 100444 male NA 7.2
6362 100445 female 158.2 62.6
6363 100446 male 172.5 104.7
6364 100447 male 181.6 92.1
6365 100448 female 156.3 61.9
6366 100449 female NA 4.3
6367 100450 female 166.4 80.3
6368 100451 female 155.9 58.7
6369 100452 male 96.9 14.7
6370 100454 female 154.4 60.8
6371 100455 male 164.5 78.5
6372 100457 female 152.0 54.8
6373 100458 female 100.4 16.4
6374 100459 female 84.5 11.4
6375 100460 male 188.2 91.0
6376 100461 female 160.4 52.9
6377 100463 male 175.0 58.4
6378 100464 male 180.6 116.7
6379 100465 female 153.5 82.6
6380 100466 male 169.6 146.5
6381 100467 male 176.1 84.3
6382 100468 female 157.7 83.1
6383 100469 male 170.1 61.2
6384 100470 male 171.0 51.2
6385 100471 female NA 10.6
6386 100472 male 113.7 20.0
6387 100473 male 176.7 52.8
6388 100474 female 153.3 84.2
6389 100475 male 121.7 22.7
6390 100476 female 158.9 56.9
6391 100477 male 103.9 17.8
6392 100478 male 129.7 32.9
6393 100479 female NA NA
6394 100480 male 156.8 62.1
6395 100481 female 162.0 74.7
6396 100483 female 158.9 85.5
6397 100484 female 163.9 90.2
6398 100485 male 181.2 111.6
6399 100486 male 169.1 91.1
6400 100487 male 153.0 68.3
6401 100488 male 178.3 79.4
6402 100489 female 154.6 40.8
6403 100490 female 157.0 45.3
6404 100491 male NA 8.1
6405 100492 male 183.1 106.1
6406 100493 male 144.5 48.0
6407 100494 male 177.2 104.6
6408 100495 male 182.1 66.6
6409 100496 male NA 12.7
6410 100497 female 155.8 73.4
6411 100498 male NA 14.9
6412 100499 female 155.0 123.2
6413 100500 female 168.0 86.8
6414 100501 male 157.7 62.2
6415 100502 male 147.3 41.4
6416 100503 male 139.1 32.5
6417 100504 male 147.2 73.3
6418 100505 female 148.7 63.4
6419 100506 female 158.2 71.5
6420 100507 female 146.5 40.5
6421 100508 female 158.2 61.4
6422 100509 female 153.3 66.9
6423 100510 female 149.7 73.2
6424 100511 female 158.5 84.3
6425 100512 male 139.9 33.1
6426 100513 male 179.6 75.8
6427 100514 male 166.5 98.0
6428 100515 female 153.5 56.6
6429 100516 male 173.8 116.3
6430 100517 male 188.7 90.3
6431 100518 male 167.7 49.2
6432 100519 female 120.3 23.3
6433 100520 male 140.6 54.2
6434 100521 male 183.7 97.9
6435 100523 female 153.8 53.4
6436 100524 male 177.7 65.3
6437 100525 male NA 10.2
6438 100526 female 170.9 82.9
6439 100527 female NA 8.8
6440 100528 female 167.4 133.8
6441 100529 male 107.0 18.3
6442 100530 male 161.4 73.7
6443 100531 male 178.7 73.2
6444 100532 female 162.8 90.6
6445 100533 female 111.7 19.7
6446 100534 female 147.0 57.9
6447 100535 female 156.5 68.0
6448 100536 female NA 9.4
6449 100537 female 152.3 96.4
6450 100538 female NA 8.0
6451 100539 female 164.5 62.4
6452 100540 female 155.5 70.0
6453 100541 female NA 5.9
6454 100542 female NA 12.5
6455 100543 female 127.3 26.8
6456 100544 female 170.6 100.7
6457 100545 female 166.5 66.3
6458 100546 female 182.4 85.5
6459 100547 male 163.8 50.5
6460 100548 female 151.1 49.6
6461 100549 female 162.0 66.8
6462 100551 male 181.1 127.2
6463 100552 male 139.5 38.9
6464 100553 female 119.7 22.4
6465 100554 male 175.2 116.0
6466 100555 female 128.4 33.0
6467 100556 female 162.9 46.5
6468 100557 male 171.9 76.7
6469 100558 male 165.5 72.8
6470 100559 female 96.5 13.5
6471 100560 female 162.1 101.2
6472 100562 male 176.0 108.4
6473 100563 female 166.8 115.7
6474 100564 male 102.5 14.0
6475 100565 male 171.1 81.5
6476 100566 male 174.8 95.2
6477 100567 male 123.6 26.4
6478 100568 male 171.8 99.9
6479 100569 male NA 8.2
6480 100570 female 152.9 112.6
6481 100571 male 172.7 77.0
6482 100572 male 180.0 123.3
6483 100573 male 126.9 23.4
6484 100574 female 156.9 94.7
6485 100575 female 152.2 59.8
6486 100576 male 164.7 96.2
6487 100577 female 162.2 58.3
6488 100579 male 164.0 91.6
6489 100580 male 160.7 82.3
6490 100581 male 169.4 87.5
6491 100582 male 164.8 84.5
6492 100583 female 151.7 63.8
6493 100584 male 177.2 84.0
6494 100585 female 111.2 17.7
6495 100586 male 166.0 88.7
6496 100587 male 172.9 67.1
6497 100588 male NA 9.8
6498 100589 female 145.7 77.4
6499 100590 male 170.2 99.6
6500 100592 male 176.5 108.9
6501 100593 male 141.4 53.4
6502 100594 male 171.3 46.2
6503 100595 female 153.3 57.2
6504 100596 female 155.1 72.4
6505 100597 male 168.1 71.2
6506 100599 male 166.8 81.5
6507 100600 female 96.5 13.7
6508 100603 male 97.6 15.2
6509 100604 male 103.8 15.5
6510 100606 female 130.9 23.8
6511 100607 male 178.9 71.7
6512 100608 female 153.2 84.8
6513 100609 male 113.2 21.7
6514 100610 female 167.9 61.2
6515 100611 male 177.0 83.8
6516 100612 female NA 11.5
6517 100613 male 188.1 106.5
6518 100614 male 178.1 123.6
6519 100615 female 111.1 17.3
6520 100616 male 127.2 26.9
6521 100617 male 185.6 96.4
6522 100619 female 170.6 87.0
6523 100620 female 154.6 43.7
6524 100621 male 181.8 91.8
6525 100622 male 184.6 59.3
6526 100623 female 171.3 71.4
6527 100624 male 170.0 85.2
6528 100625 female 149.9 75.2
6529 100626 male NA 11.0
6530 100627 female 147.1 42.2
6531 100628 male 173.9 100.1
6532 100629 male 164.2 56.4
6533 100630 male 174.4 73.8
6534 100632 male 179.3 119.5
6535 100633 male 166.7 79.0
6536 100634 male 177.4 89.8
6537 100635 male 174.1 97.1
6538 100636 male 192.8 120.7
6539 100637 female 149.0 48.8
6540 100638 male 176.7 74.4
6541 100639 female 173.0 78.2
6542 100640 female 106.9 20.7
6543 100641 female 160.5 49.1
6544 100642 male 175.7 142.2
6545 100643 female 131.7 28.3
6546 100644 female 161.2 62.7
6547 100645 female 88.3 11.1
6548 100646 male NA 62.1
6549 100647 male 155.5 62.6
6550 100649 male 172.3 80.0
6551 100650 female NA NA
6552 100651 female 118.3 32.2
6553 100652 male NA 3.9
6554 100653 male 175.5 88.8
6555 100654 female 164.9 104.6
6556 100655 female 153.4 40.1
6557 100656 female 165.2 74.1
6558 100657 female 155.0 132.3
6559 100658 male 168.7 57.7
6560 100659 female 116.8 21.4
6561 100660 male 131.8 33.4
6562 100661 male 166.4 81.6
6563 100663 female 165.3 85.4
6564 100664 female NA 9.1
6565 100665 female 89.5 13.0
6566 100666 female 161.2 48.2
6567 100667 male 169.4 61.9
6568 100668 female 111.2 20.1
6569 100669 female 163.1 92.6
6570 100670 male 164.8 77.7
6571 100671 male 182.2 88.0
6572 100672 female 156.9 75.0
6573 100673 female 150.5 47.9
6574 100674 male 158.9 67.1
6575 100675 female 156.7 73.0
6576 100676 male NA 13.1
6577 100677 female 167.5 72.4
6578 100678 female 143.1 50.1
6579 100679 male 174.7 59.9
6580 100680 male 169.7 72.8
6581 100681 female 160.6 72.2
6582 100682 male 115.3 21.8
6583 100683 female 89.2 13.9
6584 100684 female 152.5 65.1
6585 100686 female 158.3 54.3
6586 100688 male 124.9 23.7
6587 100689 male 170.4 126.5
6588 100690 male NA 4.6
6589 100691 female 137.3 43.8
6590 100692 male 171.9 83.4
6591 100693 female 163.7 97.1
6592 100694 male 105.5 17.1
6593 100695 female 157.9 54.6
6594 100696 male 176.6 86.9
6595 100697 male 173.1 79.6
6596 100698 female 163.7 60.8
6597 100700 female 142.1 60.7
6598 100701 female 163.4 116.5
6599 100702 female 141.4 28.6
6600 100703 female NA 6.0
6601 100704 female 127.3 22.7
6602 100705 female 161.9 93.7
6603 100706 male 168.7 96.7
6604 100707 female 168.8 71.6
6605 100708 female 139.8 27.9
6606 100709 male 187.2 76.2
6607 100710 male 184.4 113.0
6608 100711 female 159.2 59.1
6609 100712 male NA 11.9
6610 100713 female 164.6 67.6
6611 100714 female 171.0 78.0
6612 100715 female 163.3 89.0
6613 100716 female 161.2 65.8
6614 100717 female 168.5 120.1
6615 100719 female 95.9 12.8
6616 100720 male 185.0 77.7
6617 100721 female 152.1 58.5
6618 100722 female 151.8 44.2
6619 100723 male NA NA
6620 100724 female 158.0 54.7
6621 100725 female 158.9 66.6
6622 100726 female 152.4 81.8
6623 100727 male 177.6 83.3
6624 100728 female 166.3 61.3
6625 100729 male 102.7 17.3
6626 100730 female 157.9 93.9
6627 100731 male 117.2 23.0
6628 100732 male 170.0 115.8
6629 100733 female 160.8 86.9
6630 100734 female NA 10.8
6631 100735 female 152.0 62.1
6632 100736 female 111.3 20.3
6633 100737 female 111.2 19.7
6634 100738 female 158.5 99.5
6635 100739 male 176.4 97.6
6636 100740 male 178.0 80.0
6637 100741 male 182.4 84.7
6638 100742 male 183.8 73.8
6639 100743 female 167.4 77.5
6640 100744 female NA 7.5
6641 100745 male 165.9 80.8
6642 100746 male NA 11.5
6643 100747 female 158.2 77.4
6644 100748 female 167.1 70.8
6645 100749 male 172.0 95.4
6646 100751 female 108.0 17.1
6647 100752 male 174.5 58.7
6648 100753 female 97.5 14.7
6649 100754 male 189.6 107.9
6650 100755 male 154.6 40.6
6651 100756 male 171.9 67.2
6652 100757 female NA 3.9
6653 100758 female 101.5 16.3
6654 100759 male 180.3 81.4
6655 100760 female 171.3 65.6
6656 100761 male 166.9 65.0
6657 100763 female 151.6 64.9
6658 100764 female 157.3 61.7
6659 100765 female 154.6 56.5
6660 100766 female 129.0 28.1
6661 100767 female 123.2 25.0
6662 100768 female 161.3 81.4
6663 100769 female 136.7 42.7
6664 100770 male 138.8 30.6
6665 100771 female 162.6 79.4
6666 100772 female 166.0 85.4
6667 100773 male 89.3 12.0
6668 100774 male 166.4 70.5
6669 100775 female 156.7 50.6
6670 100776 male 132.9 25.8
6671 100778 female 176.2 50.6
6672 100779 male 123.2 26.4
6673 100780 male 182.1 94.4
6674 100782 male 178.4 120.0
6675 100783 male 166.9 88.5
6676 100784 female 164.3 64.0
6677 100785 female 103.5 16.0
6678 100786 male 114.7 23.0
6679 100787 male 170.0 85.4
6680 100788 male 173.7 82.2
6681 100790 female 169.8 78.6
6682 100791 female 109.9 18.1
6683 100792 female 156.3 151.7
6684 100793 male 158.7 46.1
6685 100794 male 181.2 61.3
6686 100795 male 178.4 84.6
6687 100796 male 172.6 57.7
6688 100798 female 127.0 28.1
6689 100800 female 146.7 66.7
6690 100801 male 173.1 107.3
6691 100802 female 156.5 91.9
6692 100803 female NA 13.0
6693 100804 male 161.8 47.3
6694 100805 female 160.1 50.8
6695 100806 male 97.1 14.5
6696 100807 female 90.8 14.1
6697 100808 female 179.0 111.7
6698 100809 female 98.6 13.0
6699 100811 female NA 10.5
6700 100812 female 137.6 42.6
6701 100813 female 152.0 55.4
6702 100814 female 167.7 110.1
6703 100815 female 146.7 59.6
6704 100816 female 170.8 93.3
6705 100817 female 160.4 72.5
6706 100818 female 152.5 58.4
6707 100819 male 163.6 58.9
6708 100820 male NA 13.3
6709 100821 female 160.8 70.4
6710 100822 female NA 5.0
6711 100823 male 102.8 18.3
6712 100824 female 109.0 21.2
6713 100825 female 177.8 116.6
6714 100826 female 102.7 15.1
6715 100827 female 167.0 79.4
6716 100828 female NA 10.9
6717 100829 male 178.0 97.9
6718 100830 female 113.5 20.7
6719 100831 female 153.9 61.9
6720 100832 female 148.5 64.9
6721 100833 male NA 10.3
6722 100834 male 168.7 84.1
6723 100835 male NA 13.0
6724 100836 male 169.6 79.7
6725 100837 male 175.5 79.6
6726 100838 female 162.5 128.8
6727 100840 male 164.5 74.7
6728 100841 female 160.9 56.6
6729 100842 male 131.9 28.4
6730 100843 male 194.6 152.8
6731 100844 male NA 72.7
6732 100846 male 186.3 81.2
6733 100847 female 156.9 130.8
6734 100848 female 153.9 89.4
6735 100849 male 186.3 146.8
6736 100850 female 129.4 30.0
6737 100851 female 157.9 72.1
6738 100852 female NA 9.5
6739 100853 male 170.1 92.9
6740 100854 female 124.6 37.3
6741 100855 female 167.1 63.5
6742 100856 female 157.4 50.8
6743 100857 female 134.0 31.4
6744 100858 male 94.9 13.4
6745 100859 female 173.7 104.5
6746 100860 female 169.7 123.6
6747 100861 male 172.8 154.9
6748 100862 female 155.6 79.3
6749 100863 female NA 6.0
6750 100864 male NA 7.9
6751 100865 female 155.4 54.0
6752 100866 male 181.0 128.0
6753 100867 female NA 10.3
6754 100868 female 99.4 16.6
6755 100869 female 114.3 29.6
6756 100870 male NA 8.4
6757 100871 male 134.1 30.6
6758 100872 female 156.9 73.3
6759 100874 male 164.9 61.1
6760 100875 male 166.7 75.4
6761 100876 male 163.8 77.4
6762 100877 male 170.3 63.1
6763 100878 female NA 7.6
6764 100879 male 178.9 85.5
6765 100880 male 185.3 99.8
6766 100881 male 185.3 86.5
6767 100882 male 188.0 65.7
6768 100883 female 88.1 11.6
6769 100884 male 180.3 104.6
6770 100885 male 166.8 42.0
6771 100886 female 158.6 99.0
6772 100887 female 166.4 81.8
6773 100888 female 131.4 29.5
6774 100889 male 185.0 90.1
6775 100890 female 157.4 75.1
6776 100891 female 115.6 18.6
6777 100892 male 168.0 79.9
6778 100893 female 130.3 34.2
6779 100894 female 162.9 53.5
6780 100895 female 156.9 63.3
6781 100896 female 160.8 95.8
6782 100897 female 93.8 13.9
6783 100898 female 156.6 69.3
6784 100899 male 135.4 33.2
6785 100900 female 92.1 13.4
6786 100901 female 169.5 94.7
6787 100902 female 154.8 56.5
6788 100903 male 123.2 25.3
6789 100904 female 152.6 57.0
6790 100905 male 182.9 94.8
6791 100906 male NA 10.5
6792 100907 male 176.2 100.2
6793 100908 female 157.1 50.2
6794 100910 male 182.3 146.9
6795 100911 male 184.1 107.3
6796 100912 male 141.2 29.4
6797 100913 female 157.9 70.3
6798 100914 female 161.0 86.3
6799 100915 male 169.2 95.8
6800 100917 male 170.0 81.2
6801 100919 male 164.1 61.8
6802 100920 female 161.5 73.1
6803 100921 male 98.9 16.4
6804 100922 female 117.6 22.2
6805 100923 male 161.1 69.7
6806 100924 female 168.3 127.1
6807 100925 female 168.4 74.4
6808 100926 male 155.8 51.9
6809 100927 female 139.3 32.5
6810 100928 male 173.1 57.0
6811 100929 female 172.8 107.1
6812 100930 female 162.6 77.9
6813 100931 female 154.7 55.4
6814 100932 male 148.0 46.6
6815 100933 female 160.3 56.8
6816 100934 female 163.8 105.6
6817 100935 male 184.9 72.8
6818 100936 female 164.1 83.5
6819 100937 male 181.9 90.1
6820 100938 female 155.1 61.4
6821 100939 female 154.4 65.5
6822 100940 female 163.0 44.5
6823 100941 female 154.0 44.0
6824 100942 male 173.1 66.9
6825 100943 female 158.4 96.6
6826 100944 male 169.2 52.1
6827 100945 male 131.1 25.0
6828 100946 male 165.7 68.9
6829 100947 female 163.2 99.1
6830 100948 female 166.0 70.5
6831 100949 female 163.8 97.5
6832 100950 female 171.4 68.4
6833 100951 male 168.5 86.3
6834 100952 male 183.4 70.1
6835 100953 male NA 4.4
6836 100954 male 173.5 98.1
6837 100955 male 167.7 69.2
6838 100956 male 146.2 37.2
6839 100957 male 97.0 13.7
6840 100958 female 106.4 17.7
6841 100959 male 137.0 28.0
6842 100960 male 137.1 28.5
6843 100961 female 169.3 49.4
6844 100963 male 180.4 77.7
6845 100964 male 181.0 58.8
6846 100965 female 159.2 45.4
6847 100966 female 156.2 53.2
6848 100967 female 158.2 69.9
6849 100968 female 152.3 111.9
6850 100969 female 166.2 101.3
6851 100970 male 173.7 57.2
6852 100971 female 142.3 85.5
6853 100972 male 178.2 96.7
6854 100973 male 186.0 133.0
6855 100974 male 175.7 78.2
6856 100975 male 168.4 74.8
6857 100976 female 145.6 41.1
6858 100977 female NA 11.6
6859 100978 female 157.2 48.5
6860 100979 female 157.5 64.6
6861 100980 female 163.1 73.2
6862 100982 male 145.4 45.0
6863 100983 female 154.5 72.1
6864 100984 male NA 9.8
6865 100985 male 178.7 71.7
6866 100986 female 163.1 72.2
6867 100987 male 162.5 76.3
6868 100988 male 166.4 98.3
6869 100989 female 155.6 61.3
6870 100990 male 102.7 16.6
6871 100991 female 140.0 30.6
6872 100992 male 176.0 105.1
6873 100993 male 116.1 19.0
6874 100994 male 162.8 70.5
6875 100995 male NA 12.6
6876 100996 male 184.3 101.4
6877 100997 female 161.9 112.2
6878 100999 female 166.4 91.1
6879 101000 female 162.7 42.5
6880 101001 male 178.4 105.8
6881 101002 female 162.3 49.8
6882 101003 male 170.2 86.1
6883 101004 male 177.3 58.6
6884 101005 female 152.3 50.1
6885 101006 male 182.7 69.9
6886 101007 female 159.1 78.7
6887 101008 female NA 12.8
6888 101009 female 172.3 146.6
6889 101010 male 165.8 87.1
6890 101011 male 176.7 97.0
6891 101012 female 93.9 12.8
6892 101013 female 166.7 87.6
6893 101014 female 170.0 59.1
6894 101015 female 156.5 69.7
6895 101016 male 133.2 24.4
6896 101017 male 169.6 58.1
6897 101018 male 167.0 56.8
6898 101019 male 184.7 111.1
6899 101020 male 175.9 76.1
6900 101021 male 172.5 92.4
6901 101022 male 171.3 131.2
6902 101023 male 175.1 77.4
6903 101024 male 172.6 74.7
6904 101025 female 166.9 68.2
6905 101026 female 157.9 66.7
6906 101027 male NA NA
6907 101028 female 159.1 61.6
6908 101029 male 163.4 64.6
6909 101030 female 165.1 60.6
6910 101031 male 169.6 89.0
6911 101032 male 181.5 80.0
6912 101033 male 189.3 93.5
6913 101034 female 150.1 72.3
6914 101035 female 155.6 56.2
6915 101036 female 163.4 63.4
6916 101037 female 155.1 106.8
6917 101039 male 161.8 59.2
6918 101040 male 166.7 89.8
6919 101041 female 97.6 15.3
6920 101042 male 164.7 47.0
6921 101043 male 165.1 59.6
6922 101044 female 97.2 14.5
6923 101045 female 157.6 46.5
6924 101046 male 185.3 103.7
6925 101047 male 167.8 58.0
6926 101048 male 175.8 68.8
6927 101049 female 150.8 107.5
6928 101051 male 177.1 82.9
6929 101052 female 167.2 108.9
6930 101053 male NA 8.5
6931 101054 female 164.3 60.4
6932 101057 male 154.3 40.8
6933 101058 female 129.6 26.7
6934 101059 male 145.5 41.4
6935 101060 male 172.8 100.5
6936 101062 male 102.2 16.4
6937 101063 male 167.4 67.5
6938 101064 male 170.6 96.9
6939 101065 female 172.6 71.1
6940 101066 male 113.2 19.1
6941 101067 male 164.3 54.2
6942 101068 female 154.8 47.2
6943 101069 male 174.1 92.6
6944 101070 female 166.4 89.0
6945 101071 male 85.7 12.5
6946 101072 male NA NA
6947 101073 male 164.6 63.6
6948 101075 male 165.3 86.5
6949 101076 female 158.6 58.8
6950 101077 male 184.2 74.3
6951 101078 male 180.8 101.5
6952 101079 female 155.0 46.4
6953 101080 male 156.6 43.3
6954 101081 female 154.0 59.6
6955 101082 female 97.5 17.1
6956 101083 male 177.0 67.8
6957 101084 female 171.4 67.3
6958 101085 male 185.5 137.7
6959 101086 male 179.6 104.5
6960 101087 female 159.7 47.6
6961 101088 female 165.2 87.8
6962 101089 female 159.7 125.7
6963 101090 female 163.8 62.8
6964 101091 female 161.8 98.9
6965 101092 male 161.5 48.3
6966 101093 female 164.5 104.9
6967 101094 male 166.8 66.7
6968 101095 female 162.9 47.1
6969 101096 female 156.0 81.0
6970 101097 female 155.3 76.4
6971 101098 female 102.7 18.3
6972 101099 female 159.8 90.9
6973 101100 female 154.4 51.7
6974 101101 male 177.7 83.4
6975 101102 male 175.6 90.8
6976 101103 female 157.9 79.2
6977 101104 female NA 5.2
6978 101106 female 166.3 108.7
6979 101107 female 158.0 68.8
6980 101108 female 151.9 52.3
6981 101109 female 159.7 119.8
6982 101111 male 189.6 124.9
6983 101112 female 158.4 48.7
6984 101113 female 160.3 65.1
6985 101114 female 158.6 52.4
6986 101115 female 168.1 107.7
6987 101116 female NA 9.7
6988 101117 male 148.2 62.8
6989 101118 male 184.0 120.3
6990 101119 female 149.2 76.8
6991 101120 female 149.5 51.6
6992 101121 male NA 9.9
6993 101122 male 185.5 76.6
6994 101123 female 168.4 49.6
6995 101124 male 176.3 94.5
6996 101125 female 155.7 60.3
6997 101126 male 182.3 135.6
6998 101127 male 185.6 145.9
6999 101128 female 123.0 34.6
7000 101129 male 90.7 13.2
7001 101130 female 161.8 54.6
7002 101131 male 168.1 50.1
7003 101132 male 172.0 81.0
7004 101133 male 92.4 12.6
7005 101134 female 161.4 83.9
7006 101135 female NA 5.8
7007 101136 male 182.2 106.1
7008 101137 male 111.0 18.4
7009 101138 female 171.4 118.0
7010 101139 female 163.6 70.2
7011 101141 male 178.2 107.8
7012 101142 male 147.2 32.5
7013 101143 male 163.1 108.4
7014 101144 male 130.5 25.7
7015 101145 male 95.8 15.2
7016 101146 female 88.4 12.8
7017 101147 female 156.5 57.7
7018 101148 female 151.6 43.6
7019 101149 male 169.5 116.6
7020 101151 female 165.2 77.4
7021 101152 male 169.9 111.0
7022 101153 male 188.3 136.4
7023 101154 male NA 7.5
7024 101155 female 158.8 75.5
7025 101156 female 150.7 39.6
7026 101157 female 123.5 20.4
7027 101158 male 131.4 29.1
7028 101159 female 155.6 67.9
7029 101160 female 151.4 65.7
7030 101162 male 164.5 71.5
7031 101163 female 155.0 67.1
7032 101164 female 158.8 51.4
7033 101165 male NA 11.9
7034 101166 female 164.7 49.8
7035 101168 female 163.0 47.1
7036 101169 female 157.6 69.4
7037 101170 female 94.2 15.4
7038 101171 female 159.5 63.1
7039 101173 female 155.3 52.4
7040 101174 male 183.8 87.2
7041 101175 male 172.3 90.0
7042 101176 female 154.8 60.1
7043 101177 male 165.0 66.5
7044 101178 female NA 6.1
7045 101179 female 151.1 53.3
7046 101180 female 168.7 76.7
7047 101181 female 156.7 61.9
7048 101182 male 173.1 86.2
7049 101183 female 153.2 82.7
7050 101184 female 152.1 41.4
7051 101185 female 156.7 70.1
7052 101186 male 171.5 96.6
7053 101187 male 161.2 72.0
7054 101190 male 168.1 77.3
7055 101191 female 158.5 76.9
7056 101192 female 124.1 24.1
7057 101193 male 169.7 74.4
7058 101194 female 168.3 91.8
7059 101195 female 169.1 74.0
7060 101196 female 157.0 69.3
7061 101197 male 179.5 78.6
7062 101198 female 86.8 12.9
7063 101199 female 153.4 47.2
7064 101200 male 175.7 67.1
7065 101201 male 168.6 74.6
7066 101202 male 140.3 30.4
7067 101203 male 167.2 52.0
7068 101204 male 182.3 89.9
7069 101205 female 160.2 73.1
7070 101206 male 167.0 80.0
7071 101207 female NA NA
7072 101208 female 157.3 45.2
7073 101209 female 148.3 44.4
7074 101210 female NA 5.0
7075 101211 female 154.7 77.3
7076 101212 female 156.6 95.5
7077 101213 male 179.2 134.4
7078 101214 male 164.9 71.2
7079 101215 male 92.5 17.8
7080 101216 female 164.6 107.2
7081 101217 male 167.8 56.9
7082 101218 male 168.5 79.9
7083 101219 female 129.4 27.0
7084 101220 female 155.7 72.8
7085 101221 male 178.6 121.0
7086 101222 male 167.9 96.1
7087 101224 male 150.7 77.3
7088 101226 male 167.7 83.5
7089 101227 male 188.2 110.7
7090 101228 female 159.4 65.6
7091 101229 female 151.6 74.5
7092 101230 female 159.0 77.3
7093 101231 female 167.0 62.2
7094 101232 male 178.6 93.2
7095 101233 male 178.1 77.5
7096 101234 female 137.7 38.7
7097 101235 male NA 13.3
7098 101236 male 177.1 66.5
7099 101237 female 134.9 33.1
7100 101238 male 174.2 80.4
7101 101239 female 156.4 52.3
7102 101240 female 151.5 62.3
7103 101241 male 171.1 91.3
7104 101242 female 153.8 65.1
7105 101243 male 174.1 76.7
7106 101244 female 153.0 52.6
7107 101245 male 136.7 39.6
7108 101246 male 175.5 95.7
7109 101247 male 166.8 64.1
7110 101248 male 189.0 106.8
7111 101249 female 158.4 76.0
7112 101250 female 171.1 92.5
7113 101251 female 164.2 53.1
7114 101252 female 157.0 98.5
7115 101253 male 175.3 95.3
7116 101254 female 163.5 51.7
7117 101255 female 157.9 76.4
7118 101256 female 161.9 138.6
7119 101257 female 123.5 35.9
7120 101258 male 168.7 112.6
7121 101259 male 154.0 68.0
7122 101260 female 154.4 59.4
7123 101261 female 116.3 22.8
7124 101262 male 175.7 127.3
7125 101263 male 181.9 77.0
7126 101264 male 180.0 73.1
7127 101265 female 161.7 68.2
7128 101266 female 152.9 81.5
7129 101267 female 122.1 22.1
7130 101268 male 85.7 12.1
7131 101269 male 138.6 32.6
7132 101270 female 154.6 35.8
7133 101271 male 121.5 22.4
7134 101272 female 162.7 90.2
7135 101273 male 170.9 123.1
7136 101274 female 170.1 74.8
7137 101275 male 169.7 83.2
7138 101276 male 134.5 28.4
7139 101277 male 166.5 90.4
7140 101278 male 182.8 98.5
7141 101279 male 111.9 21.1
7142 101281 female 150.3 59.0
7143 101282 male 178.8 108.2
7144 101283 female 158.8 106.2
7145 101284 female 165.1 84.0
7146 101285 male 181.1 112.1
7147 101286 female 161.4 99.7
7148 101287 female 144.1 35.9
7149 101288 female 162.6 66.3
7150 101289 female 155.5 84.5
7151 101290 male 107.8 20.7
7152 101291 female 157.4 66.6
7153 101292 female 157.3 52.8
7154 101294 female 161.6 95.3
7155 101295 male 173.4 64.5
7156 101296 male 88.0 12.9
7157 101297 female 147.1 73.0
7158 101298 female 159.6 82.7
7159 101299 female 150.8 56.6
7160 101300 female 163.9 72.3
7161 101301 male NA 8.7
7162 101302 male 179.6 65.0
7163 101303 male 104.2 16.0
7164 101304 male 138.5 28.2
7165 101305 male 98.6 16.9
7166 101306 female 163.6 55.9
7167 101307 female 170.3 124.0
7168 101308 female 171.4 76.9
7169 101309 male NA 12.6
7170 101310 male 190.6 99.4
7171 101311 male 180.3 110.1
7172 101312 female 165.7 68.1
7173 101313 female 175.3 89.5
7174 101314 male 145.4 34.0
7175 101315 male 173.6 57.1
7176 101316 male 180.6 70.4
7177 101317 female 160.1 61.5
7178 101318 female 161.2 53.1
7179 101319 male 175.3 125.6
7180 101320 male 182.4 75.4
7181 101321 female NA 6.9
7182 101322 male 163.8 84.9
7183 101323 female 162.2 104.7
7184 101324 male 177.6 78.2
7185 101325 female 128.3 41.3
7186 101326 female 155.1 55.0
7187 101327 female 174.1 79.1
7188 101328 female 166.0 69.5
7189 101329 female 173.2 69.2
7190 101330 female 164.5 58.7
7191 101332 male 175.7 64.9
7192 101333 female 157.0 62.3
7193 101334 male 167.4 50.3
7194 101335 male 170.9 74.0
7195 101336 female 160.6 67.4
7196 101337 male NA NA
7197 101338 male 86.8 11.9
7198 101339 male 163.8 84.0
7199 101340 male 176.7 95.7
7200 101341 female 124.1 23.1
7201 101342 female 167.7 159.9
7202 101343 male 171.4 84.3
7203 101344 female 153.0 48.2
7204 101345 female 169.0 111.1
7205 101346 male 129.7 32.6
7206 101347 female NA 4.0
7207 101348 female 145.9 77.1
7208 101349 female 161.4 125.6
7209 101350 male 169.2 119.3
7210 101351 female 157.1 66.3
7211 101352 male 166.1 54.2
7212 101353 male NA 4.7
7213 101354 female 132.9 29.1
7214 101355 male 182.0 92.9
7215 101356 female 165.6 53.4
7216 101357 female 160.2 79.4
7217 101359 female 155.5 75.7
7218 101360 male 171.5 85.5
7219 101361 male 110.2 17.9
7220 101362 female 165.6 84.1
7221 101363 female NA NA
7222 101365 male 179.5 96.1
7223 101366 female 163.8 63.1
7224 101367 female NA 4.8
7225 101368 female 102.7 17.5
7226 101369 female 165.5 79.7
7227 101370 female 165.0 59.9
7228 101371 female 109.0 16.0
7229 101372 female 156.3 58.1
7230 101373 male 137.5 37.9
7231 101374 male 99.8 19.3
7232 101375 male 166.6 72.6
7233 101376 male 154.7 40.3
7234 101378 female 160.1 64.8
7235 101379 male 168.2 60.0
7236 101380 male 138.7 28.9
7237 101382 female 163.8 85.7
7238 101383 male NA 7.8
7239 101384 male 176.6 88.6
7240 101385 female 164.0 123.2
7241 101386 female 161.8 67.0
7242 101387 female 150.9 63.2
7243 101388 male 157.4 38.2
7244 101389 male 164.1 92.9
7245 101390 male 181.4 111.5
7246 101391 female 152.4 64.4
7247 101392 female 164.0 64.8
7248 101393 female 151.6 57.2
7249 101394 male 171.3 65.2
7250 101395 male 171.9 58.8
7251 101396 female 161.8 78.6
7252 101397 male 185.1 119.6
7253 101398 male 175.7 106.7
7254 101399 male 181.7 81.9
7255 101400 male 169.2 82.0
7256 101401 male 168.9 59.3
7257 101402 female 143.9 55.9
7258 101403 female 142.5 37.0
7259 101404 male 187.0 129.4
7260 101405 female 158.1 84.7
7261 101406 female NA 10.8
7262 101407 female 155.0 64.0
7263 101408 female 103.7 16.3
7264 101409 male 138.0 30.9
7265 101410 male 94.4 14.3
7266 101411 female 164.9 109.0
7267 101412 female 155.5 47.6
7268 101413 male 156.0 48.2
7269 101414 female 162.1 62.7
7270 101415 female 160.2 53.2
7271 101416 male 181.2 78.8
7272 101417 female 128.1 26.3
7273 101418 male 137.0 33.0
7274 101419 male NA 12.4
7275 101420 female 144.1 48.9
7276 101421 male 172.0 89.2
7277 101422 male 152.4 45.9
7278 101423 female 139.0 38.5
7279 101425 female 132.0 29.8
7280 101426 female 168.0 124.9
7281 101427 female 169.0 73.0
7282 101428 female NA 11.8
7283 101429 female 162.2 93.3
7284 101430 female 162.0 56.4
7285 101431 female 161.6 85.9
7286 101432 female 154.5 85.3
7287 101433 male 104.0 16.9
7288 101434 female 154.9 56.2
7289 101435 female 108.6 20.6
7290 101437 female NA NA
7291 101438 female 162.2 71.9
7292 101439 male 171.5 89.7
7293 101440 female 140.8 35.3
7294 101441 female 140.4 40.9
7295 101442 female 160.7 104.8
7296 101443 male 177.0 112.1
7297 101444 male 170.5 107.8
7298 101445 female NA 13.7
7299 101446 female 173.6 57.5
7300 101447 female 163.7 46.1
7301 101448 male 177.7 83.6
7302 101449 female 175.7 120.1
7303 101450 male 169.9 94.7
7304 101451 male 173.4 73.1
7305 101453 female NA 14.1
7306 101454 female 162.3 72.7
7307 101455 female 146.3 89.8
7308 101456 male 127.5 23.9
7309 101458 female 154.5 50.8
7310 101459 male 186.0 76.2
7311 101460 female 118.4 21.3
7312 101461 female 144.2 82.7
7313 101462 female 160.8 156.0
7314 101463 female 149.9 48.0
7315 101464 female 156.0 50.2
7316 101465 male 101.6 17.8
7317 101467 male 184.8 108.7
7318 101468 male 165.4 73.3
7319 101470 female 177.2 100.8
7320 101471 male 142.4 42.6
7321 101472 female 150.7 65.6
7322 101473 female 150.4 51.4
7323 101474 male 140.9 34.0
7324 101475 female 165.3 102.9
7325 101476 female 85.2 11.8
7326 101477 male 129.4 27.4
7327 101478 male 170.2 69.3
7328 101479 female 158.5 73.3
7329 101480 male 176.3 81.0
7330 101481 female 149.7 60.4
7331 101482 female 155.1 57.2
7332 101483 male 159.8 61.8
7333 101484 male 179.0 88.4
7334 101485 female 162.1 64.5
7335 101486 female 155.7 71.0
7336 101487 male 158.3 68.6
7337 101488 female 160.3 84.7
7338 101489 female 146.5 46.6
7339 101490 female 155.3 69.2
7340 101491 female 160.3 72.1
7341 101492 male 118.0 21.0
7342 101493 female 157.3 66.8
7343 101494 female 145.3 36.4
7344 101495 female NA 5.3
7345 101496 male 142.9 44.4
7346 101497 male 155.2 42.8
7347 101498 male 169.3 121.5
7348 101499 male 159.8 101.1
7349 101500 female 170.5 92.5
7350 101501 female 156.6 66.1
7351 101502 male 187.6 130.3
7352 101503 female 139.5 34.3
7353 101504 female 152.7 47.8
7354 101505 female 160.6 66.6
7355 101506 female 157.6 60.0
7356 101507 female 97.9 15.0
7357 101508 female 140.5 52.1
7358 101509 male 147.8 44.4
7359 101510 male 172.2 78.7
7360 101511 female 137.1 31.2
7361 101512 male 112.0 25.3
7362 101513 male 173.9 67.8
7363 101514 female 94.8 13.8
7364 101515 male 180.7 101.3
7365 101516 female 166.8 65.4
7366 101517 female 162.3 69.1
7367 101518 female 153.0 59.6
7368 101519 male 122.5 25.6
7369 101520 male 175.0 97.0
7370 101522 male 175.2 79.0
7371 101523 male 175.0 112.3
7372 101524 female 148.2 49.7
7373 101526 male 160.3 46.2
7374 101527 male 179.2 84.6
7375 101529 male 132.7 34.7
7376 101530 male 172.9 95.6
7377 101532 female NA 7.0
7378 101533 female 134.3 33.9
7379 101534 male 122.2 20.7
7380 101535 male 171.7 86.8
7381 101536 female 130.6 25.5
7382 101537 male 172.9 97.7
7383 101538 female 128.7 27.5
7384 101539 male 127.6 27.6
7385 101541 male 178.2 88.3
7386 101542 male 167.0 71.0
7387 101543 male 99.1 15.0
7388 101544 female 162.5 71.2
7389 101545 male 177.8 98.7
7390 101546 male 182.6 66.5
7391 101547 female 160.2 125.5
7392 101548 female 163.2 82.2
7393 101549 female 159.1 64.4
7394 101550 male 180.9 113.8
7395 101551 female 155.5 81.8
7396 101552 male 175.4 119.1
7397 101553 female NA 12.3
7398 101554 male NA 8.7
7399 101555 male 176.6 154.8
7400 101556 male 170.5 93.1
7401 101557 male 144.1 47.8
7402 101558 male 157.9 64.8
7403 101559 male 167.7 99.2
7404 101560 male 187.6 116.4
7405 101561 male 178.8 65.4
7406 101562 female 151.1 74.5
7407 101563 male 180.9 126.6
7408 101565 male 178.9 128.7
7409 101567 female 132.8 28.1
7410 101568 male 169.5 54.4
7411 101569 male 85.7 11.4
7412 101570 female 166.6 63.4
7413 101571 male 175.5 85.9
7414 101572 male 173.2 86.9
7415 101573 female 85.7 13.2
7416 101574 female 159.5 45.7
7417 101575 female 158.6 69.2
7418 101576 female 103.3 17.6
7419 101577 female 154.6 59.6
7420 101578 female 166.8 58.8
7421 101579 male 163.3 83.9
7422 101580 male 166.8 76.5
7423 101581 male 190.8 68.9
7424 101582 male 174.5 66.2
7425 101583 female 161.4 87.0
7426 101584 female 156.9 71.1
7427 101586 female NA 14.4
7428 101587 female 160.2 107.6
7429 101588 female 158.7 49.9
7430 101589 male 189.9 160.6
7431 101590 male 170.2 93.9
7432 101591 male 131.7 25.5
7433 101592 male 95.4 16.0
7434 101593 female 147.5 74.0
7435 101594 female 163.0 74.5
7436 101595 male 171.2 54.9
7437 101596 female 150.3 53.7
7438 101597 female 143.1 49.2
7439 101598 male NA NA
7440 101599 male 173.9 98.2
7441 101600 female 111.3 20.6
7442 101601 male 176.8 82.9
7443 101602 female NA 9.1
7444 101603 female 112.8 18.3
7445 101604 male 162.0 44.9
7446 101605 male 169.3 69.5
7447 101606 male 173.5 76.7
7448 101607 female 150.7 71.1
7449 101608 male 186.4 103.6
7450 101609 male 165.9 58.7
7451 101610 female 87.3 11.7
7452 101611 male NA 12.0
7453 101612 male 169.6 67.2
7454 101613 male 175.5 92.4
7455 101614 female 156.2 75.4
7456 101615 female 162.5 94.9
7457 101616 male 176.4 75.7
7458 101617 male 119.7 24.4
7459 101618 male 131.8 44.9
7460 101619 female 178.6 51.3
7461 101620 female 160.8 53.4
7462 101621 male 164.9 76.4
7463 101622 female 114.1 19.6
7464 101623 male 168.5 82.2
7465 101624 male NA 9.2
7466 101625 male 166.9 97.7
7467 101626 female 163.1 58.7
7468 101627 female 152.8 73.9
7469 101628 female 160.9 68.7
7470 101629 male 139.7 28.3
7471 101630 male 153.3 47.8
7472 101631 female 142.6 52.2
7473 101632 male 128.4 27.7
7474 101633 female 127.4 27.9
7475 101634 male 167.3 62.7
7476 101635 female 157.5 76.0
7477 101636 female 151.4 66.0
7478 101637 male NA 11.3
7479 101638 male 174.7 86.5
7480 101639 male 169.7 59.9
7481 101640 female 171.8 94.7
7482 101641 female NA 10.8
7483 101642 female 164.2 154.4
7484 101643 male 87.6 11.1
7485 101644 male 124.7 46.5
7486 101645 male 171.2 102.6
7487 101646 male 143.3 71.3
7488 101647 female 161.3 61.4
7489 101648 male 180.9 66.6
7490 101649 female 167.6 74.5
7491 101651 male 102.4 18.8
7492 101652 male 177.4 115.9
7493 101653 female NA NA
7494 101654 male 174.9 95.6
7495 101655 male 182.1 93.5
7496 101656 female 155.7 91.9
7497 101657 male 176.4 70.4
7498 101658 male 174.4 91.1
7499 101659 female 166.0 58.6
7500 101660 male 164.9 74.2
7501 101661 female 152.6 69.6
7502 101662 male 178.8 95.6
7503 101663 female 106.8 20.8
7504 101664 female 166.3 76.4
7505 101665 female 126.8 25.4
7506 101667 female 158.9 85.6
7507 101668 male 176.7 72.8
7508 101669 female 153.5 99.8
7509 101670 female 157.7 71.1
7510 101671 female 164.3 85.1
7511 101673 female 146.0 49.5
7512 101674 female 150.1 56.4
7513 101675 female 151.7 70.4
7514 101676 male 168.2 69.8
7515 101677 male 180.0 105.7
7516 101678 male 160.5 48.3
7517 101679 female 157.1 73.9
7518 101680 male NA 12.6
7519 101681 female 149.5 67.6
7520 101682 female 155.0 109.0
7521 101684 male NA 6.6
7522 101686 male 95.5 15.4
7523 101687 female 158.1 63.6
7524 101688 female 161.1 52.7
7525 101689 male 177.7 76.5
7526 101690 male 173.7 111.2
7527 101691 male 97.8 15.3
7528 101692 female 174.9 81.1
7529 101693 female 157.5 85.5
7530 101694 male 161.2 82.0
7531 101695 female 171.5 124.8
7532 101697 female 154.9 66.2
7533 101698 female 157.2 52.9
7534 101699 male NA 8.0
7535 101700 female 160.4 79.3
7536 101701 female 156.5 69.5
7537 101702 female 151.0 76.4
7538 101703 male 155.5 67.2
7539 101704 male 156.9 55.2
7540 101705 female 168.0 67.0
7541 101706 female 106.2 15.7
7542 101707 female 155.5 83.3
7543 101708 male 177.8 83.6
7544 101709 female 169.3 83.5
7545 101710 female 156.1 62.6
7546 101711 male 171.6 104.6
7547 101712 female NA 8.3
7548 101713 female NA 6.4
7549 101714 male 183.3 128.5
7550 101715 male 156.5 66.6
7551 101716 female 155.4 90.5
7552 101718 female 154.5 85.2
7553 101719 male 180.0 91.3
7554 101720 male 134.3 35.7
7555 101721 male 165.6 55.9
7556 101722 male 162.8 80.5
7557 101723 female 153.7 66.4
7558 101724 male 190.6 93.1
7559 101725 female 152.3 47.7
7560 101726 male 172.3 82.0
7561 101727 male 185.2 112.9
7562 101728 male 178.8 89.6
7563 101729 male 187.3 86.6
7564 101730 male 172.2 100.9
7565 101731 male 174.9 80.9
7566 101732 male 181.8 81.2
7567 101733 female 158.1 56.6
7568 101734 female 168.7 64.9
7569 101735 female 113.9 24.3
7570 101736 male 181.4 147.4
7571 101737 male 170.5 66.3
7572 101738 female 96.9 14.6
7573 101739 male 112.2 20.2
7574 101740 female 168.3 70.8
7575 101741 female 115.4 18.8
7576 101742 male 183.7 121.6
7577 101743 male 160.3 68.8
7578 101744 male 175.5 119.2
7579 101745 male 171.3 100.7
7580 101746 female 97.5 13.2
7581 101747 female 131.4 30.7
7582 101749 male 101.0 17.7
7583 101750 female 152.8 71.8
7584 101751 male 162.4 45.7
7585 101752 female NA 11.0
7586 101753 male 172.3 91.6
7587 101754 male 172.9 92.2
7588 101755 female 160.4 74.1
7589 101756 female 161.1 124.7
7590 101757 male 149.1 39.0
7591 101758 male 175.4 72.5
7592 101759 female 86.2 11.2
7593 101760 female 151.4 78.1
7594 101761 male 188.5 125.8
7595 101762 female 141.7 67.6
7596 101763 female 158.1 70.1
7597 101764 male 157.7 75.9
7598 101765 female 150.6 70.2
7599 101766 female 145.8 60.2
7600 101767 male NA 12.0
7601 101768 male 167.8 63.4
7602 101769 female 147.8 41.7
7603 101771 male NA NA
7604 101772 male 171.6 91.2
7605 101773 male 129.4 36.9
7606 101774 male 179.6 122.4
7607 101775 male 173.9 71.1
7608 101776 male NA 10.3
7609 101777 male 184.4 85.5
7610 101778 female 159.7 47.5
7611 101779 female 155.7 71.4
7612 101780 female 168.7 67.0
7613 101781 male 168.7 88.4
7614 101782 female 153.3 83.9
7615 101783 male 182.9 102.8
7616 101784 male 183.1 89.9
7617 101785 female 163.5 103.1
7618 101786 male 180.5 114.1
7619 101787 male 177.0 107.3
7620 101788 male 170.0 44.7
7621 101789 male 106.4 17.4
7622 101790 female 159.4 80.4
7623 101791 female NA 9.3
7624 101792 male 129.6 33.6
7625 101793 male 175.4 83.5
7626 101794 male 169.3 89.9
7627 101795 female 153.8 63.2
7628 101796 female 168.8 70.6
7629 101797 male NA 14.6
7630 101798 male 136.7 29.1
7631 101799 female 168.7 47.0
7632 101800 male 129.2 29.1
7633 101801 female 159.8 49.9
7634 101802 female 171.0 59.6
7635 101803 female 102.6 17.2
7636 101804 male 140.6 50.9
7637 101806 female 156.4 47.6
7638 101807 female 139.7 44.6
7639 101808 male 143.8 33.2
7640 101809 male 188.3 139.6
7641 101810 male 136.9 30.7
7642 101811 male 168.9 79.7
7643 101812 male 129.4 37.0
7644 101814 female 166.4 180.9
7645 101815 female 123.9 33.7
7646 101816 female NA 10.1
7647 101817 male 181.9 124.7
7648 101818 male 172.6 83.8
7649 101819 male 135.0 45.2
7650 101820 male 117.2 21.7
7651 101821 female 162.6 53.9
7652 101822 male 171.7 87.4
7653 101823 male 167.4 79.0
7654 101824 female 152.7 88.3
7655 101825 male 181.9 90.0
7656 101826 male 177.2 61.6
7657 101827 male 99.0 14.6
7658 101828 female 159.6 73.8
7659 101829 male 169.1 122.3
7660 101830 female 164.9 99.3
7661 101831 female 100.9 19.4
7662 101832 female 167.6 84.6
7663 101833 male 128.3 27.8
7664 101834 female 161.9 94.3
7665 101835 male 147.9 40.5
7666 101836 female 152.5 44.9
7667 101837 female 152.4 56.9
7668 101838 female 157.2 67.2
7669 101839 female 157.0 73.7
7670 101840 male 170.3 99.0
7671 101841 male 179.1 89.7
7672 101842 female 160.8 74.9
7673 101843 female 150.6 66.4
7674 101844 female 154.2 88.5
7675 101845 female 165.3 91.4
7676 101846 male 177.8 72.9
7677 101847 female 160.0 85.9
7678 101848 female 160.5 48.9
7679 101849 female NA 7.9
7680 101850 male 182.9 100.9
7681 101851 male 152.9 63.9
7682 101852 male 170.1 62.2
7683 101853 male 169.5 86.2
7684 101854 male NA 11.4
7685 101855 female 156.6 79.2
7686 101857 female 132.4 27.3
7687 101858 male 158.9 55.5
7688 101859 female 166.4 83.6
7689 101860 female 154.4 69.0
7690 101861 female 160.8 68.2
7691 101862 male 166.7 103.5
7692 101863 male 147.1 68.9
7693 101864 female 151.5 59.3
7694 101865 female 180.0 82.7
7695 101866 male 174.6 98.7
7696 101867 female 149.2 71.9
7697 101868 male 176.0 56.9
7698 101869 male 182.3 77.0
7699 101870 female 162.4 66.8
7700 101871 female 163.6 81.1
7701 101872 male 124.2 24.5
7702 101873 male 127.3 26.4
7703 101874 female 153.3 49.1
7704 101875 female 151.5 65.7
7705 101876 female 157.2 89.1
7706 101878 female NA NA
7707 101879 female 168.0 68.7
7708 101880 male 177.7 107.6
7709 101881 male NA 9.3
7710 101882 female 162.0 71.6
7711 101883 male 167.9 80.2
7712 101884 male 161.8 81.0
7713 101885 female 172.5 63.2
7714 101887 male 108.3 20.5
7715 101888 male 163.6 79.8
7716 101889 female 114.5 20.7
7717 101890 male 119.4 22.3
7718 101892 male 123.5 24.8
7719 101893 male 171.9 113.1
7720 101894 female 168.3 60.6
7721 101895 female 145.9 64.1
7722 101896 female 161.2 94.9
7723 101897 female NA 5.4
7724 101898 female 144.8 34.6
7725 101899 male 179.9 68.8
7726 101900 female 109.6 21.8
7727 101901 female 163.1 50.3
7728 101902 male 137.9 39.1
7729 101903 female 155.9 77.1
7730 101904 female 160.5 74.7
7731 101905 male 184.2 90.0
7732 101906 male NA 10.3
7733 101907 female 161.4 78.7
7734 101908 female NA 12.5
7735 101909 male NA 9.3
7736 101910 female 155.3 74.2
7737 101911 female 174.6 158.7
7738 101912 female 153.9 48.9
7739 101913 female 170.7 49.9
7740 101914 female 128.1 34.7
7741 101915 female 161.5 101.5
7742 101916 male NA 10.4
7743 101917 male 175.8 95.6
7744 101918 female 116.4 22.6
7745 101919 male 178.3 87.2
7746 101920 male 154.4 74.3
7747 101922 male 164.3 64.0
7748 101923 female 156.6 70.4
7749 101924 male 175.9 140.4
7750 101926 female 142.4 54.9
7751 101927 female 116.6 21.3
7752 101928 female 164.1 105.1
7753 101929 female 129.3 27.7
7754 101930 male 128.5 30.2
7755 101931 female 164.8 90.1
7756 101932 male 137.2 33.3
7757 101933 female 132.2 27.9
7758 101934 female 167.9 95.0
7759 101936 female 154.2 106.3
7760 101937 male NA NA
7761 101938 male 168.7 76.1
7762 101939 female 143.8 52.5
7763 101941 female 161.8 113.4
7764 101942 female 172.6 116.5
7765 101943 female 154.1 58.6
7766 101944 male 90.9 13.4
7767 101945 male 172.5 56.8
7768 101946 male NA 9.9
7769 101947 male 166.5 90.9
7770 101948 female 91.1 12.7
7771 101949 male 166.7 70.0
7772 101950 male 173.0 106.7
7773 101951 female 167.3 96.2
7774 101952 male 136.2 38.1
7775 101953 male 100.5 16.8
7776 101954 female NA 10.0
7777 101955 female NA 13.3
7778 101956 male 92.3 13.7
7779 101957 female 149.2 58.1
7780 101958 male 102.9 16.6
7781 101959 female 158.6 75.0
7782 101961 female 112.1 22.2
7783 101962 male 173.7 96.8
7784 101963 male NA 10.0
7785 101965 female 150.0 64.1
7786 101966 male 163.6 54.2
7787 101967 female 142.7 34.0
7788 101968 male NA NA
7789 101969 female 125.6 39.7
7790 101970 male 95.8 13.4
7791 101971 male 193.3 73.1
7792 101972 female 155.1 51.6
7793 101973 female 165.1 102.5
7794 101974 male 101.9 17.0
7795 101976 male 174.7 85.3
7796 101977 male 186.2 118.8
7797 101978 female 164.8 95.4
7798 101979 male NA 10.7
7799 101980 female 162.6 44.4
7800 101981 female 148.4 49.1
7801 101983 male 125.1 24.9
7802 101984 female 113.2 20.4
7803 101985 male 169.9 108.5
7804 101986 female 157.5 88.5
7805 101987 male 177.0 97.2
7806 101988 female 157.6 73.5
7807 101989 male 161.5 70.4
7808 101990 female 161.5 118.8
7809 101993 female 170.7 67.8
7810 101994 female 117.0 24.5
7811 101995 male 168.7 101.9
7812 101996 male 161.3 52.2
7813 101997 male 165.7 52.0
7814 101998 female 106.7 15.0
7815 101999 female 132.1 25.3
7816 102000 female 166.8 72.5
7817 102001 male 179.6 102.3
7818 102002 male 175.5 168.3
7819 102003 male 185.8 79.6
7820 102004 male 152.0 35.5
7821 102005 female 168.9 127.6
7822 102007 female 144.9 47.4
7823 102008 female 159.8 51.5
7824 102009 male 160.3 84.5
7825 102010 female 135.8 34.3
7826 102011 female NA 11.0
7827 102012 female 151.6 125.6
7828 102013 male 115.8 22.3
7829 102014 male 101.3 17.2
7830 102015 female 160.8 67.9
7831 102016 male 131.4 40.0
7832 102017 male 157.6 38.7
7833 102018 female 160.0 86.0
7834 102019 female 153.1 54.2
7835 102021 female 152.2 66.2
7836 102022 male 180.0 100.6
7837 102023 female NA 10.3
7838 102024 male 173.8 109.2
7839 102026 female 176.4 59.5
7840 102027 male 164.9 102.2
7841 102028 male 175.7 63.6
7842 102029 female 85.4 11.0
7843 102030 female 158.2 87.0
7844 102031 female 159.4 80.7
7845 102032 female 177.5 167.9
7846 102033 female 116.7 25.8
7847 102034 male NA 8.6
7848 102035 female 170.0 77.0
7849 102037 female 157.8 53.8
7850 102038 male 109.3 17.0
7851 102039 male 176.4 71.7
7852 102040 female 148.4 35.3
7853 102041 male 188.6 91.1
7854 102043 female 118.4 26.5
7855 102044 female 153.5 62.4
7856 102045 male 180.7 161.3
7857 102046 female 159.3 58.7
7858 102047 female 164.1 71.5
7859 102048 female 150.7 65.2
7860 102049 female 130.3 43.0
7861 102050 male 179.6 108.1
7862 102051 male 180.5 87.8
7863 102052 female 149.1 88.0
7864 102053 male 100.3 16.2
7865 102054 female 163.0 63.9
7866 102055 female 158.8 104.4
7867 102056 female 145.0 45.7
7868 102057 male 175.1 85.4
7869 102058 female 155.2 82.6
7870 102060 female 154.1 60.3
7871 102061 female 171.4 67.1
7872 102062 female NA NA
7873 102063 male 130.9 29.9
7874 102064 female 156.3 65.8
7875 102065 male 99.6 14.7
7876 102066 male 115.8 21.1
7877 102067 male 175.8 83.0
7878 102068 female 149.0 78.6
7879 102069 male 148.5 63.6
7880 102070 female 156.7 59.3
7881 102071 male 179.8 74.6
7882 102072 female 154.4 83.6
7883 102073 male 173.5 88.6
7884 102074 female 160.3 86.7
7885 102075 male NA 7.2
7886 102077 male 164.4 60.0
7887 102078 male 176.0 73.0
7888 102079 female 147.3 72.9
7889 102080 male 152.4 56.8
7890 102081 female 155.7 97.3
7891 102082 male 190.2 174.0
7892 102084 male 133.3 34.4
7893 102086 female 158.2 94.7
7894 102087 male 137.9 29.5
7895 102088 female 165.9 87.3
7896 102089 male 149.3 55.4
7897 102090 male 166.5 70.9
7898 102091 male 192.2 132.3
7899 102092 male 165.1 75.4
7900 102093 female 155.0 69.6
7901 102094 female NA 9.2
7902 102095 male 91.0 16.6
7903 102096 male 172.0 81.9
7904 102097 male 105.5 23.8
7905 102098 male 173.3 105.8
7906 102099 female 163.2 128.9
7907 102100 female 159.9 75.1
7908 102101 male 178.7 95.4
7909 102102 female 157.5 59.3
7910 102103 male 165.0 69.8
7911 102105 female 165.8 111.6
7912 102106 male 171.9 100.8
7913 102107 male 169.7 70.5
7914 102108 male NA 8.9
7915 102109 male NA 9.1
7916 102110 male 125.0 21.2
7917 102111 male 176.9 84.5
7918 102112 female 161.5 42.3
7919 102113 female 160.3 75.5
7920 102114 female 159.2 61.4
7921 102115 female 155.1 41.4
7922 102116 female 163.5 61.9
7923 102117 male 175.4 67.3
7924 102118 male NA 5.6
7925 102119 male 109.3 19.9
7926 102121 female 158.4 71.1
7927 102122 female 159.2 74.4
7928 102123 male 186.2 80.1
7929 102124 female 169.0 63.5
7930 102126 female 182.4 78.2
7931 102127 male 97.6 15.1
7932 102128 male 178.4 59.8
7933 102129 male 183.6 110.8
7934 102130 male 167.7 89.9
7935 102131 male 163.9 66.1
7936 102132 female 157.0 101.1
7937 102133 female 161.9 62.1
7938 102134 female 164.2 79.1
7939 102135 male 175.6 64.8
7940 102136 female 118.1 27.0
7941 102137 male 172.5 83.8
7942 102138 male 141.1 35.6
7943 102139 male 170.8 87.1
7944 102141 male 180.4 84.7
7945 102142 female NA 7.1
7946 102143 female 149.9 62.7
7947 102145 male 163.5 80.0
7948 102146 male 102.2 17.5
7949 102147 female 161.7 58.4
7950 102148 female 158.3 73.7
7951 102149 female 158.0 81.7
7952 102150 male 147.4 37.2
7953 102151 female 161.4 58.2
7954 102152 male 172.9 71.4
7955 102153 female 157.8 77.0
7956 102154 male 179.8 105.9
7957 102155 male 166.8 84.5
7958 102156 female NA 6.5
7959 102157 male 172.3 91.7
7960 102158 female NA NA
7961 102159 female 88.5 11.1
7962 102160 female 156.0 51.7
7963 102161 male 155.9 61.1
7964 102162 female 150.6 62.6
7965 102163 male NA NA
7966 102164 female NA 5.6
7967 102165 male 174.8 84.0
7968 102166 male 187.0 113.2
7969 102167 female 157.8 56.4
7970 102168 female 164.9 78.6
7971 102169 female 165.3 75.6
7972 102170 male 169.3 65.4
7973 102171 female 154.4 49.4
7974 102172 female 97.2 14.8
7975 102173 female 172.3 76.7
7976 102174 male 136.5 38.1
7977 102175 female 161.9 77.6
7978 102176 female NA 6.9
7979 102177 male 161.1 63.1
7980 102178 female 159.7 86.9
7981 102179 male 179.1 128.5
7982 102180 male 101.1 16.5
7983 102181 female 162.3 84.5
7984 102182 male 174.1 68.6
7985 102183 male 182.2 93.6
7986 102184 female 151.5 87.5
7987 102185 male 181.7 138.3
7988 102187 male 171.7 80.8
7989 102188 female 134.0 37.4
7990 102189 male 177.7 80.7
7991 102190 female 176.2 144.8
7992 102191 male 179.3 108.3
7993 102192 male 175.4 107.7
7994 102193 male 165.0 72.2
7995 102194 female 155.3 98.6
7996 102195 male NA 9.4
7997 102196 female 158.4 65.2
7998 102197 female 148.8 60.2
7999 102198 female 155.4 95.5
8000 102199 male 178.3 118.5
8001 102200 female 148.5 41.9
8002 102201 female 172.4 61.5
8003 102202 female 164.2 57.6
8004 102204 female 170.9 78.9
8005 102205 female 129.6 34.6
8006 102206 male 125.2 25.6
8007 102207 male 180.0 89.2
8008 102208 female 162.6 62.8
8009 102210 male 172.4 74.3
8010 102211 male 192.5 129.1
8011 102212 female 159.0 62.4
8012 102214 female 157.7 83.4
8013 102215 male 181.9 100.4
8014 102216 female NA 10.4
8015 102217 male 182.4 92.1
8016 102218 female 165.7 61.6
8017 102219 male 174.7 79.8
8018 102220 female NA 8.9
8019 102221 male 156.4 73.2
8020 102223 female 158.0 57.7
8021 102224 male 176.5 75.6
8022 102225 male 192.5 103.1
8023 102226 male 185.1 93.7
8024 102227 female 125.4 28.9
8025 102228 female 158.6 39.2
8026 102229 male 169.1 83.3
8027 102230 male 100.6 17.4
8028 102231 female 158.2 109.8
8029 102232 male 177.4 60.8
8030 102233 male 116.5 23.8
8031 102234 male 180.4 145.3
8032 102235 female 152.4 40.8
8033 102236 female 115.0 20.6
8034 102237 female 94.4 14.6
8035 102238 female 162.0 148.4
8036 102239 male 171.2 94.2
8037 102240 male 178.4 109.1
8038 102241 female 159.7 71.6
8039 102242 male 167.4 54.4
8040 102243 male 166.1 77.9
8041 102244 male 191.1 125.3
8042 102245 female 154.7 45.4
8043 102246 female NA 4.2
8044 102247 female NA 9.6
8045 102248 male 166.8 71.0
8046 102249 male 177.8 68.2
8047 102250 male 177.0 85.8
8048 102251 male 186.7 107.0
8049 102252 female 142.2 48.5
8050 102253 female 114.5 18.8
8051 102254 female 155.7 67.7
8052 102255 female 165.2 73.3
8053 102256 male 181.2 84.7
8054 102257 female NA 13.8
8055 102258 female 152.2 45.2
8056 102259 female 154.1 66.7
8057 102260 female 163.4 70.5
8058 102261 female 160.0 53.6
8059 102262 female 164.0 83.8
8060 102263 male 169.9 91.6
8061 102264 female 159.4 48.1
8062 102265 male 184.3 67.9
8063 102266 female 161.7 52.4
8064 102267 female 152.9 120.6
8065 102268 female 134.3 28.8
8066 102269 female 149.9 83.5
8067 102270 male 187.9 90.4
8068 102271 male 174.0 71.9
8069 102272 female 169.6 74.4
8070 102274 male 164.6 50.5
8071 102275 female 167.8 107.6
8072 102276 female 163.4 78.6
8073 102277 female 138.3 34.1
8074 102278 female 168.7 111.3
8075 102279 male 184.4 108.0
8076 102280 male NA 8.8
8077 102281 female 151.9 64.1
8078 102282 female NA 7.9
8079 102283 female 158.5 78.6
8080 102284 male 174.0 81.4
8081 102285 male 172.9 57.7
8082 102286 male NA 6.7
8083 102287 male 163.0 54.3
8084 102288 male 176.9 102.1
8085 102289 female 161.2 119.4
8086 102290 female 109.3 17.0
8087 102292 female 118.9 20.3
8088 102293 female 98.2 14.0
8089 102294 female 172.0 65.5
8090 102295 male NA 9.6
8091 102296 female 163.5 74.7
8092 102297 male 165.0 58.9
8093 102298 female 158.3 52.1
8094 102299 female 164.0 61.3
8095 102300 male 170.1 84.3
8096 102301 male 165.8 87.4
8097 102302 female NA NA
8098 102303 female 123.1 28.1
8099 102304 female 108.5 20.3
8100 102305 male 160.3 55.4
8101 102306 male 170.1 80.5
8102 102307 female 161.5 87.3
8103 102308 male 92.6 15.2
8104 102309 female 157.3 95.6
8105 102311 male 185.4 100.4
8106 102312 female 159.6 62.6
8107 102313 male 177.4 98.5
8108 102314 male 168.4 45.7
8109 102315 female 153.8 50.0
8110 102316 male 172.6 77.4
8111 102317 male 189.0 129.0
8112 102319 male 115.8 21.4
8113 102320 female 146.0 61.6
8114 102321 male 170.5 86.0
8115 102322 male 172.2 56.3
8116 102323 female 155.5 48.2
8117 102324 female 177.2 90.6
8118 102325 female 119.2 21.6
8119 102326 female 151.1 62.8
8120 102327 male 191.2 107.4
8121 102328 female 160.9 47.1
8122 102329 male 167.8 96.8
8123 102330 male 172.4 65.6
8124 102331 male 171.6 72.5
8125 102332 male 117.1 21.6
8126 102333 female 165.5 125.8
8127 102334 male 179.9 99.0
8128 102335 male 164.5 71.3
8129 102336 male 174.7 80.0
8130 102337 male 169.0 96.1
8131 102338 male 195.6 110.5
8132 102339 female 163.2 67.1
8133 102340 male 173.3 65.0
8134 102341 female 167.3 92.8
8135 102342 male 170.3 81.0
8136 102344 female 150.6 42.3
8137 102345 female 165.2 113.1
8138 102346 female 169.5 145.6
8139 102348 female 158.8 109.4
8140 102349 female 148.5 58.3
8141 102350 male 168.5 77.8
8142 102351 female 102.8 18.4
8143 102352 male 180.2 80.2
8144 102353 male 172.8 76.2
8145 102354 male 152.7 76.7
8146 102355 male 166.8 149.4
8147 102356 male 167.8 77.5
8148 102357 female NA NA
8149 102358 female 159.6 57.1
8150 102359 female 151.8 55.1
8151 102360 female 160.4 100.8
8152 102361 male 177.1 78.5
8153 102362 male 179.3 93.3
8154 102364 female 170.6 85.3
8155 102365 male 164.4 69.4
8156 102366 female 159.8 79.5
8157 102367 female NA NA
8158 102368 male 178.4 98.5
8159 102369 female 149.6 62.3
8160 102370 female 163.0 67.1
8161 102371 male 178.5 85.4
8162 102372 male 165.1 90.3
8163 102373 male 174.0 90.9
8164 102375 female 109.0 17.1
8165 102376 female 150.7 66.1
8166 102377 female 147.9 59.7
8167 102378 female 155.4 69.9
8168 102379 female 141.5 79.2
8169 102380 female 164.1 78.7
8170 102381 male 184.6 113.8
8171 102382 male 169.9 71.9
8172 102383 female 150.4 55.7
8173 102384 male 148.6 43.3
8174 102385 male 169.8 54.8
8175 102386 female 153.8 74.8
8176 102387 male 175.6 93.1
8177 102388 male 92.6 13.2
8178 102389 female 163.7 85.8
8179 102391 male NA NA
8180 102392 female 152.8 72.4
8181 102393 female 171.0 52.6
8182 102394 female 161.5 64.9
8183 102395 male 173.4 98.3
8184 102396 male 180.3 101.7
8185 102397 female 162.7 70.9
8186 102399 male 186.6 119.5
8187 102400 male 173.2 77.1
8188 102401 female 153.2 46.4
8189 102402 male 142.7 61.3
8190 102403 male 126.7 29.7
8191 102404 male 172.6 68.1
8192 102405 male 185.5 109.9
8193 102406 male 153.4 67.4
8194 102407 female 160.2 124.9
8195 102408 male 121.5 28.7
8196 102409 male 90.6 13.2
8197 102410 male 175.7 111.4
8198 102411 male 169.9 70.0
8199 102412 male 158.7 55.7
8200 102413 male 131.0 27.2
8201 102414 male 175.9 75.4
8202 102415 female 153.4 90.5
8203 102416 female 170.0 82.0
8204 102418 male 188.8 103.2
8205 102419 male 180.8 79.4
8206 102420 female 157.2 63.1
8207 102421 female 158.0 57.6
8208 102423 female 163.9 89.3
8209 102424 male 176.4 70.6
8210 102425 male 173.7 111.2
8211 102426 male 132.4 31.9
8212 102427 male 164.7 88.7
8213 102428 male 182.5 153.4
8214 102429 female 163.1 96.0
8215 102431 male 178.7 86.2
8216 102432 male 177.6 134.2
8217 102433 male 168.7 60.1
8218 102434 female 165.3 111.1
8219 102435 female 142.8 35.1
8220 102436 female 161.1 60.2
8221 102437 male 90.6 14.3
8222 102439 female 118.4 29.4
8223 102440 female 159.1 49.1
8224 102441 female 150.2 39.7
8225 102442 female 154.2 68.6
8226 102443 female 153.3 46.5
8227 102444 male 171.4 120.2
8228 102445 female 153.5 56.2
8229 102446 female NA 7.9
8230 102447 female 163.8 51.0
8231 102448 male 102.3 16.4
8232 102450 male 182.4 186.5
8233 102451 male NA 12.9
8234 102452 female 152.0 79.8
8235 102453 male 155.2 41.8
8236 102454 female 167.4 65.9
8237 102455 male 181.5 86.4
8238 102456 female 156.6 104.8
8239 102457 male 172.1 73.2
8240 102458 male 172.8 60.9
8241 102459 female 128.7 22.1
8242 102460 female 168.9 60.7
8243 102461 female 148.8 54.3
8244 102462 male 111.7 17.7
8245 102463 male 176.3 74.4
8246 102464 male 172.9 78.7
8247 102465 male 162.0 65.4
8248 102466 male 195.8 89.9
8249 102467 female 162.4 92.0
8250 102468 female 159.4 63.6
8251 102469 male 185.0 105.3
8252 102470 male NA 10.5
8253 102471 female 149.3 58.7
8254 102472 male 182.4 107.4
8255 102473 female 154.0 62.5
8256 102474 female 156.7 103.7
8257 102475 male 157.7 70.4
8258 102476 female NA NA
8259 102477 male NA 11.9
8260 102478 male 173.6 100.1
8261 102480 male 170.0 92.7
8262 102481 female 133.9 37.3
8263 102482 male 165.3 89.5
8264 102483 female 164.9 99.6
8265 102484 female NA 73.8
8266 102486 female 156.5 83.7
8267 102487 female 164.2 42.3
8268 102488 male 163.7 76.5
8269 102489 male 178.4 99.2
8270 102490 female 149.5 57.4
8271 102492 male 182.7 100.9
8272 102493 male 170.1 98.5
8273 102494 male 175.5 81.8
8274 102495 male 168.3 71.7
8275 102496 male 102.8 17.4
8276 102497 male 166.2 72.8
8277 102498 female 166.4 66.0
8278 102499 female 148.8 53.7
8279 102500 male 173.4 92.2
8280 102501 male 173.4 110.0
8281 102502 male NA 8.1
8282 102503 male 101.3 14.3
8283 102504 female 156.2 49.0
8284 102505 male 173.9 97.7
8285 102506 female 158.3 69.4
8286 102507 male NA NA
8287 102508 female 167.2 82.6
8288 102509 male 148.2 42.8
8289 102510 female 151.2 48.3
8290 102512 female 174.1 93.9
8291 102513 female 156.1 96.1
8292 102514 male 175.6 96.3
8293 102515 male 174.6 75.8
8294 102516 male 183.7 135.8
8295 102517 female 146.1 68.1
8296 102518 female 152.7 91.1
8297 102519 female NA 8.7
8298 102520 male 166.5 86.3
8299 102521 female 127.0 32.4
8300 102522 male 171.4 84.2
8301 102523 male NA 5.5
8302 102524 male 170.0 82.8
8303 102526 male 172.4 114.8
8304 102527 female NA 6.1
8305 102528 male 163.1 75.8
8306 102529 male 172.2 60.4
8307 102531 female 156.8 59.8
8308 102532 female 162.7 84.5
8309 102533 male 181.4 127.9
8310 102534 male 171.3 69.7
8311 102535 male 101.6 15.5
8312 102536 male 94.5 17.9
8313 102537 female NA 10.2
8314 102538 female 169.2 56.0
8315 102539 female 153.7 72.5
8316 102540 female 147.5 89.0
8317 102541 male 185.3 77.3
8318 102542 female 148.3 68.1
8319 102543 female 155.7 63.4
8320 102544 male 172.6 89.3
8321 102546 male NA 68.2
8322 102547 female 136.3 45.3
8323 102548 female 164.7 88.9
8324 102549 male 169.0 64.6
8325 102550 male 135.7 34.0
8326 102551 female 168.4 124.9
8327 102552 female 138.0 38.2
8328 102553 male 161.7 68.7
8329 102554 male 171.3 66.7
8330 102556 male 178.9 106.0
8331 102558 female NA 7.9
8332 102559 male 162.0 76.7
8333 102560 male 170.3 197.7
8334 102561 male 125.9 25.8
8335 102562 female 157.5 67.3
8336 102563 male NA 9.1
8337 102564 male NA 11.7
8338 102565 male 112.8 24.6
8339 102566 male 155.5 63.8
8340 102567 male 118.9 21.3
8341 102568 male 179.8 64.7
8342 102569 female 94.4 14.6
8343 102570 female 159.8 89.7
8344 102571 female 151.7 68.3
8345 102573 male 172.2 90.5
8346 102574 male 167.4 104.3
8347 102575 male 152.1 46.5
8348 102576 male 177.1 88.5
8349 102577 male 166.9 74.2
8350 102578 male 173.3 90.2
8351 102579 female 161.1 111.7
8352 102580 female 153.5 67.3
8353 102581 male 168.2 61.5
8354 102582 female 156.7 82.6
8355 102583 female 110.3 17.9
8356 102585 female 157.4 72.9
8357 102586 male 163.0 72.3
8358 102588 female 173.2 89.8
8359 102589 female 154.5 92.6
8360 102590 male NA NA
8361 102591 female 153.8 74.3
8362 102592 female 149.9 62.0
8363 102593 male 169.1 64.8
8364 102595 female 168.7 75.3
8365 102597 female 161.1 100.3
8366 102598 female 158.2 52.6
8367 102599 female 169.6 56.3
8368 102600 male 178.4 88.8
8369 102601 female 120.3 30.4
8370 102602 female 109.7 18.0
8371 102603 female 108.2 17.3
8372 102604 female 160.2 52.0
8373 102605 female 167.3 97.0
8374 102606 male 164.9 56.1
8375 102607 female 173.3 92.3
8376 102608 male 110.6 21.8
8377 102609 female 155.6 70.1
8378 102610 male 96.2 NA
8379 102611 male 177.2 93.8
8380 102612 male 189.3 105.5
8381 102613 male 189.8 78.1
8382 102615 male 168.3 61.3
8383 102616 female 159.5 58.9
8384 102617 female 157.9 83.5
8385 102618 female 152.8 62.6
8386 102619 female 156.6 83.5
8387 102620 male 174.7 87.4
8388 102621 female 162.4 61.0
8389 102622 male 178.4 97.4
8390 102623 male 169.6 81.7
8391 102624 male 177.2 96.0
8392 102625 male 175.0 103.3
8393 102626 male 181.0 88.6
8394 102627 female 153.9 48.6
8395 102628 female 161.0 75.9
8396 102629 female 152.7 58.5
8397 102630 male NA 13.5
8398 102631 male 175.6 94.2
8399 102632 male 156.4 60.1
8400 102633 female 164.4 92.0
8401 102634 male 177.9 100.3
8402 102635 female 166.1 59.7
8403 102636 male 167.4 65.9
8404 102637 male 175.6 99.6
8405 102638 female 168.7 63.6
8406 102639 male 127.3 24.9
8407 102640 female 158.8 60.6
8408 102641 male 174.6 97.9
8409 102642 female 164.4 76.6
8410 102643 male 136.7 37.2
8411 102644 male 174.9 90.5
8412 102645 female 150.9 69.4
8413 102646 female 149.4 42.0
8414 102647 female 145.1 66.9
8415 102648 male 167.4 75.5
8416 102649 male 186.3 117.0
8417 102650 female 154.9 87.0
8418 102651 female 154.7 69.2
8419 102652 male 160.9 54.9
8420 102653 female 156.8 51.8
8421 102654 male 108.9 18.0
8422 102655 male 170.3 65.1
8423 102656 female 162.6 75.1
8424 102657 female 161.4 78.2
8425 102658 male 140.8 29.4
8426 102659 female 151.5 32.6
8427 102660 female 156.4 89.7
8428 102661 female 161.4 125.3
8429 102662 female 156.9 50.5
8430 102663 male 111.7 19.3
8431 102664 male 168.1 85.0
8432 102665 male 170.1 67.0
8433 102666 female 153.1 66.7
8434 102667 male 175.1 91.0
8435 102668 female 159.5 45.0
8436 102669 male 180.7 64.2
8437 102670 female NA 8.2
8438 102671 male NA NA
8439 102672 female 172.6 65.2
8440 102673 female 158.5 45.8
8441 102674 male 163.6 91.0
8442 102675 male 180.1 72.2
8443 102676 male 173.9 72.5
8444 102677 male 170.5 70.4
8445 102678 male 118.0 23.6
8446 102679 male 182.6 97.6
8447 102680 male 182.9 76.2
8448 102682 female 158.4 72.6
8449 102683 male 168.1 91.3
8450 102684 male NA NA
8451 102685 male 180.8 111.7
8452 102686 female 150.8 65.7
8453 102687 female 167.6 74.0
8454 102688 female 169.4 80.3
8455 102689 male 172.5 48.4
8456 102690 male 135.2 27.3
8457 102691 female 139.4 28.9
8458 102692 male 167.4 71.8
8459 102693 female 124.7 22.3
8460 102694 female 156.3 81.5
8461 102695 female 152.7 52.6
8462 102696 male 176.1 96.8
8463 102697 male 178.1 71.3
8464 102698 male 151.6 58.2
8465 102699 male 144.1 35.2
8466 102701 female 166.6 65.4
8467 102702 male 178.2 97.7
8468 102703 female 162.0 48.7
8469 102704 female 163.4 98.4
8470 102705 female 162.2 55.3
8471 102706 male 174.5 73.5
8472 102707 male 179.4 118.6
8473 102708 male 174.6 85.8
8474 102709 male 154.6 52.0
8475 102710 female 157.3 82.2
8476 102711 male 92.1 14.1
8477 102712 female 129.6 22.1
8478 102713 female 171.0 68.9
8479 102714 male 161.0 86.4
8480 102715 female 117.0 24.6
8481 102716 male 163.2 44.0
8482 102718 male 159.4 83.0
8483 102720 male 181.8 98.2
8484 102721 female 157.1 69.2
8485 102722 female 154.9 68.8
8486 102723 female 162.5 83.0
8487 102724 male 167.4 86.8
8488 102725 female 160.3 75.1
8489 102726 male 178.4 100.5
8490 102727 male 131.9 30.7
8491 102728 male 179.6 72.5
8492 102729 female 160.3 53.5
8493 102730 male 165.0 88.7
8494 102731 male 164.0 62.5
8495 102732 male 189.1 105.0
8496 102733 male 184.2 97.9
8497 102734 female 148.4 30.3
8498 102735 female 171.2 126.0
8499 102737 female 169.0 85.4
8500 102741 female 166.6 107.5
8501 102743 male 169.8 93.7
8502 102744 female 133.9 43.6
8503 102745 male 121.0 22.5
8504 102746 male 179.1 63.0
8505 102747 female 166.7 67.5
8506 102748 male 125.2 21.3
8507 102749 male 124.3 21.2
8508 102750 male 167.2 88.6
8509 102752 female NA 13.3
8510 102753 male 174.1 92.6
8511 102754 male 176.8 96.8
8512 102755 male 159.4 78.0
8513 102756 male 170.9 77.7
8514 102757 male 136.4 33.6
8515 102758 female 155.4 55.8
8516 102759 female 178.9 69.6
8517 102760 female NA 5.4
8518 102761 male 165.3 71.6
8519 102762 male 191.5 144.4
8520 102763 male 182.8 97.1
8521 102764 male NA 9.5
8522 102765 male 138.8 31.6
8523 102766 female 150.8 47.0
8524 102767 female 135.1 28.0
8525 102768 male 178.4 102.2
8526 102769 male 157.9 58.6
8527 102770 female 156.4 72.2
8528 102771 female 160.6 105.2
8529 102772 male 176.2 101.8
8530 102773 female 169.8 54.3
8531 102774 female NA 14.6
8532 102775 male 176.3 127.4
8533 102776 male 171.9 86.5
8534 102777 female 156.0 79.6
8535 102778 female 161.3 219.6
8536 102779 male 168.8 90.8
8537 102780 male 121.8 20.6
8538 102781 male 182.9 79.5
8539 102782 male 115.4 19.8
8540 102783 female 156.8 64.8
8541 102784 male 120.6 30.6
8542 102785 female 159.1 62.2
8543 102786 female 155.8 57.2
8544 102787 male 114.6 20.7
8545 102788 female 160.6 86.4
8546 102789 male 171.0 90.2
8547 102790 male 173.3 85.8
8548 102791 male 184.3 101.8
8549 102792 male 175.7 92.0
8550 102793 female 155.1 105.7
8551 102794 male 177.9 96.7
8552 102795 male 107.0 17.5
8553 102796 male 113.2 22.8
8554 102797 male 181.5 65.9
8555 102798 female 164.8 88.6
8556 102799 female 151.1 54.3
8557 102800 male 172.0 69.7
8558 102801 female 154.2 83.4
8559 102802 male 174.8 69.0
8560 102803 female 132.2 28.3
8561 102805 male 180.0 70.6
8562 102806 female 83.8 10.1
8563 102807 male 182.2 130.0
8564 102808 male 165.0 94.1
8565 102809 male 172.9 90.5
8566 102810 female 158.5 95.6
8567 102811 female 164.4 65.8
8568 102812 female 103.2 16.2
8569 102813 male NA 7.1
8570 102814 male 147.4 57.7
8571 102815 male 164.8 50.9
8572 102816 female 152.3 75.3
8573 102817 male 94.0 14.3
8574 102818 male 112.3 21.1
8575 102819 female 164.6 70.9
8576 102820 female 167.0 74.6
8577 102821 female 178.0 80.0
8578 102822 female 160.4 51.2
8579 102823 female 160.3 64.2
8580 102824 female NA 9.8
8581 102826 female 149.1 72.7
8582 102827 male 175.1 78.9
8583 102828 female 152.5 80.2
8584 102829 male 91.2 14.2
8585 102830 male 143.9 54.9
8586 102831 female 145.1 57.9
8587 102832 male 173.9 65.5
8588 102833 male 168.8 77.1
8589 102834 male 181.1 111.4
8590 102835 female 156.8 89.6
8591 102836 male 165.1 93.4
8592 102837 female 165.9 70.2
8593 102838 male 179.8 102.0
8594 102839 male NA 13.0
8595 102840 male NA 8.2
8596 102841 male 167.8 79.5
8597 102842 male 128.9 27.2
8598 102843 male NA 10.2
8599 102844 male 89.0 14.5
8600 102845 male 170.9 63.8
8601 102846 female 161.0 65.8
8602 102847 female 155.6 62.7
8603 102848 male NA 11.1
8604 102849 male 185.0 81.3
8605 102850 male 168.2 125.3
8606 102851 male 183.1 105.5
8607 102852 female 141.1 37.4
8608 102853 male 166.0 61.9
8609 102854 male 164.6 110.7
8610 102855 male 169.7 76.2
8611 102856 male 155.1 47.3
8612 102857 female 159.8 60.3
8613 102858 male 168.9 97.5
8614 102859 female 138.1 45.5
8615 102860 male 163.8 69.5
8616 102861 female 164.6 156.3
8617 102862 female NA 9.9
8618 102863 female 145.9 81.1
8619 102864 male NA NA
8620 102865 female 175.0 143.8
8621 102866 female 164.6 83.4
8622 102867 male 168.0 54.4
8623 102868 female 154.1 54.7
8624 102869 male 180.3 158.6
8625 102870 female 159.2 67.0
8626 102871 female 151.2 44.3
8627 102872 female 169.6 76.5
8628 102873 male 174.0 118.1
8629 102875 male 170.2 74.3
8630 102876 male 170.6 79.8
8631 102877 female 161.9 68.7
8632 102878 male 171.5 102.4
8633 102879 male 169.6 122.3
8634 102880 female 152.4 59.8
8635 102881 male 112.0 19.4
8636 102882 male 133.1 32.0
8637 102883 male 171.5 89.5
8638 102884 male 169.0 90.4
8639 102885 female 167.8 84.7
8640 102886 female 155.5 73.1
8641 102887 female 159.1 94.1
8642 102889 male 177.8 99.9
8643 102890 male 175.5 86.5
8644 102891 male 136.9 36.5
8645 102892 female 164.8 118.2
8646 102893 female 164.6 73.8
8647 102894 male 167.1 71.4
8648 102895 male 181.8 117.8
8649 102896 male 91.1 13.8
8650 102897 male NA 12.6
8651 102898 male 150.1 34.9
8652 102899 female 171.9 69.0
8653 102900 male 119.5 23.3
8654 102901 male 172.4 108.6
8655 102903 female 162.1 70.1
8656 102904 female 153.7 65.1
8657 102905 female 156.4 68.6
8658 102906 male 137.8 33.0
8659 102907 female 162.0 73.2
8660 102908 male 172.4 73.3
8661 102909 male 149.4 33.4
8662 102910 male 178.2 97.5
8663 102911 female 169.8 57.0
8664 102912 female 155.0 66.9
8665 102913 female 156.9 94.1
8666 102914 female 149.1 48.7
8667 102915 female 156.4 61.4
8668 102916 male 156.5 68.2
8669 102917 female 167.8 69.2
8670 102918 male 169.3 64.3
8671 102919 male NA 7.2
8672 102920 female 159.6 73.0
8673 102921 male 170.9 89.3
8674 102922 male 174.5 63.3
8675 102923 female 173.9 106.1
8676 102924 female 172.0 129.2
8677 102925 male 102.1 16.4
8678 102926 female 158.7 51.4
8679 102927 male NA 9.1
8680 102929 male 183.0 116.7
8681 102930 female 92.8 15.2
8682 102932 female 96.8 16.3
8683 102933 female 167.9 50.8
8684 102934 male 178.5 83.7
8685 102935 female 158.9 59.5
8686 102936 male NA 10.2
8687 102937 female 104.0 16.5
8688 102938 female 116.3 22.5
8689 102939 female 82.5 11.2
8690 102941 female 147.1 43.6
8691 102942 female NA 8.9
8692 102943 female 181.1 122.7
8693 102944 male 163.1 78.8
8694 102945 male 173.6 66.5
8695 102946 male 162.8 80.7
8696 102947 male 170.4 73.2
8697 102948 female 162.0 52.9
8698 102949 male 180.1 76.9
8699 102951 male 108.9 23.8
8700 102952 female 156.5 49.0
8701 102953 male 164.9 97.4
8702 102954 female 162.6 69.1
8703 102955 female 156.6 111.9
8704 102956 male 175.8 111.5
Zeilen auswählen: filter
Mit filter
wählt man aus, welche Zeilen man beinehalten möchte. Die anderen werden entfernt.
%>%
nhanes filter( age >= 18, gender=="female" )
subjectId gender age height weight ethnicity
1 93705 female 66 158.3 79.5 NH Black
2 93708 female 66 150.2 53.5 NH Asian
3 93709 female 75 151.1 88.8 NH Black
4 93714 female 54 147.8 87.1 NH Black
5 93721 female 60 154.0 85.1 Mexican
6 93722 female 60 154.6 56.8 NH White
7 93726 female 67 154.5 74.3 Mexican
8 93746 female 25 158.4 62.1 NH Black
9 93752 female 73 153.6 60.1 NH White
10 93755 female 26 178.5 93.8 NH Black
11 93756 female 64 160.7 75.4 NH Black
12 93758 female 55 156.9 75.8 NH White
13 93760 female 54 150.6 85.6 Mexican
14 93762 female 74 149.8 60.8 Mexican
15 93766 female 36 156.6 66.4 Other Hispanic
16 93772 female 55 161.9 80.6 NH Black
17 93774 female 41 165.5 70.9 NH White
18 93775 female 47 150.4 58.5 NH Asian
19 93776 female 32 157.8 55.4 NH Black
20 93777 female 72 NA NA NH Black
21 93778 female 19 163.6 73.3 NH Black
22 93780 female 46 161.7 87.5 Other/Mixed
23 93782 female 25 164.7 65.1 NH Black
24 93783 female 21 156.9 59.9 Other Hispanic
25 93785 female 80 155.0 73.7 NH White
26 93788 female 66 169.5 112.8 NH White
27 93789 female 34 173.4 71.0 NH White
28 93792 female 31 160.4 48.7 Other Hispanic
29 93794 female 62 157.1 59.1 NH Asian
30 93797 female 52 164.3 86.3 NH White
31 93798 female 61 173.0 85.4 NH Black
32 93800 female 80 162.8 60.2 NH White
33 93805 female 64 162.9 89.9 NH White
34 93813 female 42 155.3 104.3 Mexican
35 93814 female 41 168.9 79.3 NH Black
36 93815 female 32 161.5 72.9 Other/Mixed
37 93816 female 80 NA NA Other Hispanic
38 93819 female 63 143.7 57.7 NH Black
39 93823 female 58 159.8 85.3 Other Hispanic
40 93824 female 52 159.4 72.2 Other Hispanic
41 93827 female 68 161.9 52.3 NH Asian
42 93829 female 38 161.4 82.5 NH Black
43 93834 female 48 161.7 95.4 NH White
44 93837 female 35 166.8 108.7 NH White
45 93839 female 50 177.4 94.6 NH White
46 93841 female 48 171.5 96.5 Other/Mixed
47 93843 female 42 163.8 56.3 Other Hispanic
48 93845 female 28 165.3 67.9 NH White
49 93846 female 29 165.9 54.6 NH Black
50 93847 female 43 156.6 100.4 Mexican
51 93849 female 40 164.6 61.4 NH White
52 93850 female 74 155.6 65.3 NH Black
53 93851 female 74 149.1 69.3 NH White
54 93852 female 45 171.0 79.6 Other/Mixed
55 93858 female 19 147.3 36.2 Other/Mixed
56 93870 female 20 158.1 47.4 NH White
57 93871 female 55 158.8 54.0 Mexican
58 93878 female 59 162.5 63.6 NH Black
59 93883 female 30 164.7 114.5 NH Black
60 93888 female 37 167.6 59.7 NH White
61 93891 female 56 145.4 94.2 Mexican
62 93892 female 80 167.0 100.2 NH White
63 93894 female 66 162.3 73.2 NH White
64 93902 female 24 158.2 68.8 Mexican
65 93907 female 41 173.7 80.6 NH Black
66 93908 female 20 162.0 71.1 NH Asian
67 93912 female 25 160.2 170.0 NH Black
68 93913 female 40 160.3 63.7 NH Asian
69 93920 female 61 154.2 49.6 NH Asian
70 93924 female 70 151.8 58.9 NH White
71 93927 female 54 156.1 59.8 NH White
72 93929 female 35 171.5 79.3 NH White
73 93932 female 54 158.6 78.7 NH Asian
74 93938 female 18 163.2 63.1 Other/Mixed
75 93939 female 40 153.3 67.7 NH Black
76 93942 female 52 169.4 97.5 NH White
77 93947 female 53 146.7 55.3 NH Asian
78 93949 female 49 150.7 55.9 NH Asian
79 93952 female 34 161.7 98.8 NH White
80 93955 female 66 NA NA Mexican
81 93957 female 41 166.5 80.7 NH White
82 93959 female 61 171.0 74.5 NH Black
83 93965 female 30 159.5 57.5 Other Hispanic
84 93969 female 33 163.9 60.3 NH White
85 93975 female 54 161.4 70.9 NH White
86 93977 female 66 162.1 78.7 NH Black
87 93980 female 29 173.8 58.0 NH White
88 93981 female 52 157.3 66.3 NH Asian
89 93982 female 57 171.4 60.1 NH White
90 93983 female 75 143.6 67.2 NH Asian
91 93984 female 32 160.7 81.9 NH White
92 93985 female 61 146.9 58.0 Other Hispanic
93 93988 female 32 163.6 49.0 NH White
94 93989 female 39 163.1 56.8 NH White
95 93990 female 64 158.4 93.6 NH White
96 93998 female 24 159.1 51.5 NH White
97 93999 female 23 166.7 69.2 NH Black
98 94001 female 18 158.6 51.6 Mexican
99 94002 female 27 156.5 100.0 NH Black
100 94003 female 75 158.2 64.1 Mexican
101 94004 female 25 159.2 76.3 NH Asian
102 94008 female 46 160.6 89.5 Mexican
103 94012 female 25 164.8 68.4 Other/Mixed
104 94015 female 30 159.8 67.0 NH White
105 94019 female 64 163.2 70.3 NH Black
106 94021 female 38 159.8 88.0 NH White
107 94026 female 80 148.7 56.6 NH White
108 94028 female 39 166.8 60.8 Other Hispanic
109 94029 female 46 166.2 68.9 NH White
110 94033 female 55 159.7 74.4 Other Hispanic
111 94034 female 54 144.5 66.5 Other Hispanic
112 94038 female 59 162.5 80.0 Mexican
113 94041 female 60 167.2 62.8 Other Hispanic
114 94044 female 34 157.5 54.0 Other Hispanic
115 94047 female 45 162.3 93.7 Mexican
116 94049 female 66 143.7 121.2 NH Black
117 94050 female 55 171.2 80.1 NH White
118 94051 female 80 155.3 70.1 NH White
119 94053 female 62 156.6 91.9 NH Black
120 94057 female 62 161.5 84.0 NH White
121 94058 female 61 158.4 112.4 NH White
122 94059 female 54 145.4 65.8 Mexican
123 94061 female 36 154.2 78.3 Mexican
124 94065 female 69 151.4 62.7 NH Black
125 94078 female 19 173.4 78.9 NH White
126 94080 female 79 163.2 59.4 NH White
127 94082 female 69 158.1 55.7 NH White
128 94084 female 61 148.8 64.3 NH Asian
129 94086 female 80 159.0 63.8 NH White
130 94095 female 78 151.7 66.7 NH Black
131 94097 female 62 160.1 91.5 NH White
132 94098 female 23 163.2 80.8 NH Black
133 94099 female 20 155.2 83.1 Other/Mixed
134 94101 female 64 158.0 74.2 NH Asian
135 94105 female 46 162.7 74.0 Mexican
136 94113 female 60 159.0 59.2 NH White
137 94116 female 60 167.4 70.2 NH White
138 94117 female 57 165.3 204.4 NH White
139 94118 female 50 163.7 71.7 Other Hispanic
140 94126 female 62 155.0 80.7 NH Black
141 94127 female 34 160.4 65.7 NH Asian
142 94130 female 27 163.7 70.9 NH Black
143 94131 female 39 169.1 129.0 NH White
144 94134 female 61 156.2 70.1 Other Hispanic
145 94135 female 37 163.2 69.3 Other Hispanic
146 94137 female 49 153.3 57.5 NH Black
147 94138 female 72 152.9 58.8 NH Asian
148 94139 female 49 163.3 85.4 Other Hispanic
149 94148 female 18 165.3 44.7 Mexican
150 94152 female 64 160.8 55.1 NH White
151 94154 female 80 145.7 49.6 NH White
152 94156 female 63 150.9 65.6 Mexican
153 94157 female 60 148.4 40.4 NH Asian
154 94160 female 22 176.7 72.1 NH White
155 94164 female 18 159.4 53.1 NH Asian
156 94168 female 66 157.8 80.8 Other Hispanic
157 94173 female 68 153.1 78.7 NH Black
158 94174 female 45 148.8 57.2 Mexican
159 94176 female 24 162.1 72.9 NH White
160 94177 female 59 145.7 54.9 Mexican
161 94181 female 36 156.4 77.7 NH Asian
162 94182 female 59 158.2 58.0 NH White
163 94187 female 54 144.7 62.0 NH Asian
164 94189 female 21 158.3 100.6 Mexican
165 94192 female 54 154.0 99.1 NH White
166 94193 female 58 168.8 117.1 NH Black
167 94198 female 63 155.4 68.7 Mexican
168 94200 female 26 155.4 91.3 Other Hispanic
169 94205 female 73 153.5 87.7 NH White
170 94208 female 45 160.4 118.4 NH Black
171 94211 female 23 162.8 49.4 NH White
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780 96172 female 80 159.8 70.3 NH White
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832 96360 female 72 156.2 67.4 NH White
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901 96574 female 39 155.3 58.1 NH White
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1002 96940 female 59 159.2 56.1 NH White
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1028 97025 female 36 161.6 67.5 Mexican
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1035 97038 female 53 163.8 46.4 NH White
1036 97040 female 58 157.0 69.3 NH Black
1037 97041 female 26 160.9 84.7 NH Black
1038 97042 female 33 170.2 65.5 NH White
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1045 97075 female 18 162.4 96.3 NH Black
1046 97077 female 52 163.9 131.6 NH Black
1047 97078 female 28 167.1 53.4 NH Black
1048 97080 female 80 150.9 46.9 NH White
1049 97092 female 31 157.3 131.7 NH Black
1050 97093 female 35 174.8 111.0 NH Black
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1103 97222 female 53 156.3 128.1 NH Black
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1105 97225 female 80 157.3 102.8 NH White
1106 97229 female 80 157.9 64.5 NH White
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1110 97237 female 80 159.1 74.8 NH White
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1125 97289 female 48 161.7 75.0 NH White
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1127 97297 female 62 151.5 79.9 Mexican
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1129 97306 female 20 161.8 85.3 Mexican
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1131 97313 female 18 166.9 57.1 NH White
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1136 97325 female 27 157.9 60.8 Mexican
1137 97332 female 80 156.2 58.4 NH White
1138 97333 female 48 163.1 55.0 NH Asian
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1171 97458 female 35 171.1 101.7 NH White
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1173 97463 female 34 161.5 45.7 NH Asian
1174 97469 female 28 156.3 62.0 NH Black
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1176 97478 female 47 159.6 76.1 Mexican
1177 97482 female 70 160.7 130.0 NH White
1178 97485 female 33 168.2 66.5 NH White
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1190 97522 female 20 161.6 57.1 Mexican
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1192 97526 female 33 157.0 71.7 NH White
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1197 97548 female 50 151.9 56.3 Other/Mixed
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1199 97555 female 48 160.3 76.5 Mexican
1200 97557 female 64 156.9 77.2 NH White
1201 97558 female 56 161.8 65.0 NH White
1202 97563 female 61 146.8 56.0 Mexican
1203 97570 female 50 165.9 84.1 NH Asian
1204 97573 female 62 158.8 61.8 NH Asian
1205 97574 female 44 153.7 53.8 NH Asian
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1207 97577 female 56 147.3 65.2 NH White
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1210 97594 female 56 157.5 48.8 NH Asian
1211 97597 female 77 163.4 69.9 NH Black
1212 97598 female 40 158.0 84.0 Mexican
1213 97600 female 23 156.3 62.8 NH Asian
1214 97601 female 22 161.8 97.2 Other Hispanic
1215 97602 female 40 173.8 92.3 NH Black
1216 97605 female 67 162.8 65.6 NH White
1217 97606 female 80 152.3 57.3 NH Black
1218 97620 female 41 158.6 115.2 Other/Mixed
1219 97621 female 19 163.6 54.7 NH Black
1220 97623 female 71 157.9 76.6 NH Asian
1221 97624 female 32 146.8 43.6 NH Asian
1222 97626 female 73 149.7 67.4 NH White
1223 97627 female 34 175.9 161.4 NH White
1224 97629 female 33 163.5 59.7 NH White
1225 97630 female 78 166.6 80.9 NH White
1226 97631 female 18 165.6 100.0 NH Black
1227 97635 female 56 151.6 67.8 Other Hispanic
1228 97641 female 49 161.9 64.2 NH White
1229 97643 female 40 164.1 104.9 NH White
1230 97648 female 32 164.8 126.3 NH White
1231 97650 female 69 157.0 75.0 NH Black
1232 97657 female 60 162.1 54.1 NH White
1233 97661 female 38 NA 94.0 NH Black
1234 97667 female 62 158.6 110.2 NH Black
1235 97670 female 27 167.0 89.1 Other/Mixed
1236 97671 female 20 145.9 70.8 Other Hispanic
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1238 97675 female 41 164.9 71.0 NH Black
1239 97683 female 49 155.0 66.2 Mexican
1240 97684 female 47 162.7 134.5 NH White
1241 97688 female 56 156.2 105.5 NH Black
1242 97691 female 29 163.0 84.3 NH Black
1243 97694 female 19 163.0 95.5 NH White
1244 97695 female 52 155.0 69.0 NH Asian
1245 97698 female 47 NA NA Other Hispanic
1246 97699 female 55 156.9 65.6 Mexican
1247 97702 female 21 169.3 90.4 NH Black
1248 97704 female 54 150.8 83.2 NH Black
1249 97705 female 33 170.2 69.4 NH Black
1250 97709 female 22 160.3 84.2 NH White
1251 97711 female 80 146.9 49.7 NH White
1252 97712 female 69 167.1 92.0 NH Black
1253 97713 female 80 165.9 65.5 NH Black
1254 97716 female 29 170.2 65.9 NH White
1255 97722 female 24 168.3 55.9 NH Black
1256 97723 female 19 165.3 75.8 Mexican
1257 97726 female 39 155.0 70.4 Mexican
1258 97730 female 19 153.9 38.6 Other Hispanic
1259 97739 female 36 161.4 49.0 NH Black
1260 97740 female 52 168.6 82.0 Other/Mixed
1261 97741 female 36 160.1 58.5 NH White
1262 97748 female 50 161.2 57.6 NH Asian
1263 97751 female 54 152.7 62.6 Other Hispanic
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1265 97758 female 54 153.9 102.9 NH Black
1266 97760 female 55 154.9 100.2 Other Hispanic
1267 97761 female 56 165.0 68.8 NH Black
1268 97762 female 50 166.3 93.0 NH White
1269 97763 female 21 167.7 53.3 NH White
1270 97765 female 53 156.2 59.3 NH Asian
1271 97768 female 56 161.7 73.3 Other/Mixed
1272 97770 female 61 162.3 111.6 NH White
1273 97771 female 31 175.6 131.7 NH White
1274 97773 female 26 169.0 83.9 NH Black
1275 97776 female 58 149.4 74.1 Other Hispanic
1276 97779 female 46 158.7 82.3 NH Black
1277 97782 female 39 171.0 72.6 NH Black
1278 97783 female 46 163.8 124.6 NH Black
1279 97794 female 45 166.6 67.8 NH Asian
1280 97795 female 33 161.4 62.1 NH White
1281 97806 female 18 165.3 61.0 NH White
1282 97811 female 26 154.5 75.6 NH Black
1283 97813 female 60 165.0 88.2 NH White
1284 97817 female 64 154.1 45.8 NH Asian
1285 97822 female 42 162.6 70.2 NH Black
1286 97835 female 49 158.8 84.9 NH Black
1287 97841 female 44 165.5 91.6 NH White
1288 97847 female 65 158.8 58.7 NH White
1289 97848 female 30 158.9 53.5 NH Black
1290 97850 female 64 148.3 82.4 Other Hispanic
1291 97853 female 20 159.0 66.2 NH Asian
1292 97861 female 47 162.3 85.3 NH White
1293 97869 female 80 170.2 85.2 NH White
1294 97871 female 64 148.4 79.8 Other Hispanic
1295 97874 female 55 154.4 67.3 NH White
1296 97877 female 29 147.9 54.7 NH Black
1297 97878 female 49 163.2 82.3 NH Black
1298 97882 female 18 162.6 83.0 Mexican
1299 97883 female 71 166.7 71.6 NH White
1300 97886 female 54 159.5 53.2 NH Asian
1301 97894 female 67 161.4 83.2 Other Hispanic
1302 97896 female 57 157.2 54.6 Other/Mixed
1303 97903 female 78 161.1 88.4 NH White
1304 97905 female 64 163.6 84.0 NH Black
1305 97909 female 45 161.7 89.4 NH Asian
1306 97915 female 42 155.9 69.8 Mexican
1307 97916 female 73 151.0 110.6 NH White
1308 97918 female 18 165.0 69.4 NH Asian
1309 97919 female 70 164.6 65.6 NH Black
1310 97923 female 43 160.5 50.0 NH White
1311 97929 female 76 163.9 79.9 NH White
1312 97937 female 61 158.6 47.9 NH Asian
1313 97941 female 28 158.8 69.8 Mexican
1314 97943 female 19 158.7 96.1 NH White
1315 97944 female 63 153.9 62.2 NH White
1316 97945 female 28 146.2 65.3 Mexican
1317 97946 female 34 163.0 82.7 NH White
1318 97947 female 80 160.4 74.7 NH White
1319 97948 female 32 172.9 55.3 NH White
1320 97949 female 30 161.8 58.7 NH White
1321 97950 female 69 159.6 71.0 NH Black
1322 97951 female 24 153.0 50.4 NH Asian
1323 97954 female 67 149.4 79.4 Mexican
1324 97958 female 24 165.0 92.6 NH Black
1325 97960 female 27 167.6 79.3 NH Asian
1326 97966 female 54 169.1 73.7 NH White
1327 97967 female 40 151.1 62.3 Mexican
1328 97969 female 62 152.1 79.9 Mexican
1329 97970 female 61 155.1 79.2 NH Black
1330 97972 female 30 166.3 131.6 NH Black
1331 97974 female 44 141.9 49.3 NH Asian
1332 97978 female 41 177.2 130.9 NH Black
1333 97982 female 52 159.2 88.3 NH White
1334 97985 female 80 164.8 78.2 NH Black
1335 97986 female 29 165.6 121.3 NH Black
1336 97987 female 58 163.4 57.5 NH White
1337 97996 female 75 143.3 53.8 NH Asian
1338 97997 female 70 153.5 74.9 NH White
1339 97999 female 80 157.3 97.5 NH Black
1340 98008 female 80 157.8 69.5 NH White
1341 98010 female 27 152.9 52.0 NH Asian
1342 98014 female 59 170.2 103.8 NH White
1343 98016 female 69 166.3 82.0 NH Black
1344 98022 female 18 162.4 62.5 NH Black
1345 98023 female 37 153.7 84.9 NH Black
1346 98024 female 61 155.5 98.0 Other Hispanic
1347 98028 female 34 155.7 80.1 NH White
1348 98029 female 66 155.9 57.5 NH Asian
1349 98030 female 24 150.9 55.6 NH Black
1350 98033 female 42 168.3 76.0 NH Black
1351 98035 female 35 163.6 85.2 Mexican
1352 98036 female 38 155.6 79.3 NH Asian
1353 98041 female 55 152.4 83.6 Mexican
1354 98045 female 40 160.9 64.6 NH Asian
1355 98046 female 49 164.8 103.1 NH White
1356 98048 female 30 159.4 53.2 NH Asian
1357 98052 female 26 163.9 69.7 NH Black
1358 98056 female 34 164.6 91.9 NH White
1359 98058 female 80 NA NA Mexican
1360 98062 female 80 157.6 79.9 NH White
1361 98065 female 29 160.3 51.2 Other/Mixed
1362 98071 female 61 167.3 66.2 NH White
1363 98073 female 23 143.9 40.4 Other Hispanic
1364 98075 female 66 175.0 74.2 NH White
1365 98082 female 46 164.0 93.8 NH White
1366 98083 female 54 161.2 59.3 NH Black
1367 98084 female 80 NA NA NH White
1368 98087 female 74 152.2 62.6 NH White
1369 98094 female 45 155.7 94.2 Mexican
1370 98095 female 80 147.6 62.4 NH White
1371 98096 female 36 152.4 61.5 Other Hispanic
1372 98102 female 35 157.3 72.0 NH Asian
1373 98106 female 76 149.1 71.1 Other Hispanic
1374 98111 female 19 171.7 84.0 Other/Mixed
1375 98113 female 25 167.0 123.5 NH White
1376 98114 female 52 159.1 61.4 NH Black
1377 98119 female 30 168.0 91.6 NH White
1378 98120 female 41 165.7 110.8 NH White
1379 98125 female 76 152.5 59.1 NH White
1380 98131 female 40 157.3 95.3 NH Black
1381 98133 female 80 140.8 59.0 NH White
1382 98135 female 42 163.3 128.5 NH White
1383 98137 female 78 155.8 59.3 NH Asian
1384 98141 female 56 149.7 77.8 Mexican
1385 98143 female 80 165.5 54.4 NH White
1386 98144 female 45 157.1 58.0 NH White
1387 98145 female 24 172.6 65.3 NH White
1388 98148 female 37 161.6 56.7 NH White
1389 98156 female 46 154.4 72.0 Mexican
1390 98161 female 43 161.0 92.1 NH White
1391 98162 female 70 149.5 57.0 Other Hispanic
1392 98168 female 55 173.6 70.1 Mexican
1393 98169 female 28 152.7 75.0 Other Hispanic
1394 98170 female 18 162.9 75.1 Mexican
1395 98173 female 71 144.2 71.7 Mexican
1396 98175 female 69 149.0 77.3 NH Black
1397 98187 female 32 168.2 64.3 Other Hispanic
1398 98194 female 60 144.6 72.6 NH Asian
1399 98199 female 19 166.1 63.0 Other Hispanic
1400 98205 female 80 165.1 83.1 NH White
1401 98208 female 39 168.1 65.7 NH White
1402 98212 female 18 160.8 55.4 NH White
1403 98214 female 37 162.0 75.2 NH Asian
1404 98215 female 51 159.1 76.9 NH White
1405 98218 female 33 165.0 50.9 Mexican
1406 98222 female 26 167.2 63.7 NH White
1407 98227 female 61 157.0 70.2 Mexican
1408 98228 female 52 163.7 173.4 NH Black
1409 98230 female 61 155.7 45.6 Other Hispanic
1410 98236 female 80 146.4 46.8 NH Asian
1411 98238 female 44 166.5 85.6 Other/Mixed
1412 98242 female 53 173.0 91.9 NH Black
1413 98253 female 59 149.9 57.4 NH Asian
1414 98255 female 19 155.3 66.6 NH Black
1415 98256 female 25 163.0 75.7 NH Black
1416 98259 female 52 165.3 185.0 NH Black
1417 98266 female 41 161.0 93.0 Other Hispanic
1418 98270 female 62 163.3 115.2 NH Black
1419 98274 female 52 159.2 109.3 NH White
1420 98277 female 18 162.2 58.1 NH White
1421 98280 female 31 161.4 71.3 NH Asian
1422 98284 female 38 165.2 146.6 NH White
1423 98285 female 24 170.8 66.5 NH Asian
1424 98287 female 61 164.8 96.6 NH Black
1425 98292 female 42 NA NA NH Black
1426 98293 female 52 171.0 106.0 NH Black
1427 98295 female 23 157.0 66.8 Mexican
1428 98298 female 28 158.8 111.3 Other/Mixed
1429 98300 female 48 163.0 91.8 NH White
1430 98301 female 68 163.2 83.9 NH Black
1431 98303 female 34 155.8 68.9 NH Black
1432 98304 female 79 156.4 50.7 NH White
1433 98309 female 73 163.2 61.7 NH White
1434 98310 female 47 157.8 100.8 Mexican
1435 98316 female 63 171.8 93.3 NH White
1436 98320 female 48 162.9 97.8 NH Black
1437 98322 female 29 164.5 114.7 NH White
1438 98323 female 31 176.0 61.6 NH White
1439 98326 female 55 163.8 54.1 NH Black
1440 98328 female 30 157.2 64.4 NH Asian
1441 98331 female 64 156.4 46.5 NH Asian
1442 98332 female 34 153.6 84.8 NH White
1443 98336 female 41 178.0 110.1 NH Black
1444 98343 female 31 151.8 52.6 NH Black
1445 98350 female 36 155.0 100.4 Mexican
1446 98351 female 38 166.4 71.1 Mexican
1447 98353 female 68 161.9 57.4 NH Asian
1448 98354 female 57 163.3 116.5 NH Black
1449 98355 female 53 163.6 66.5 NH Asian
1450 98366 female 80 NA NA NH Black
1451 98371 female 63 167.3 156.9 NH Black
1452 98373 female 62 155.7 73.1 NH White
1453 98374 female 42 165.7 95.0 NH White
1454 98379 female 63 145.6 80.1 NH Black
1455 98384 female 54 157.4 61.7 Mexican
1456 98390 female 65 162.9 85.2 NH Black
1457 98391 female 80 150.0 55.8 NH White
1458 98393 female 80 151.1 73.2 NH White
1459 98394 female 38 163.6 66.9 Other Hispanic
1460 98395 female 24 162.3 59.2 NH White
1461 98408 female 19 163.8 54.1 NH White
1462 98411 female 18 166.1 93.4 Other/Mixed
1463 98412 female 67 155.3 82.7 NH Black
1464 98414 female 70 NA 74.1 Other/Mixed
1465 98416 female 25 159.0 52.4 NH Asian
1466 98417 female 79 152.8 51.7 NH White
1467 98420 female 27 171.2 58.5 NH White
1468 98422 female 63 163.8 73.2 NH White
1469 98423 female 80 164.2 60.3 NH Black
1470 98428 female 25 171.1 79.1 NH White
1471 98429 female 80 156.8 66.7 NH White
1472 98431 female 69 156.0 75.4 NH Black
1473 98435 female 21 157.9 61.0 NH Black
1474 98437 female 32 164.3 67.9 NH Black
1475 98438 female 62 157.7 89.4 Mexican
1476 98440 female 19 154.6 47.7 NH Black
1477 98442 female 22 163.7 94.5 NH Black
1478 98443 female 21 164.1 64.5 NH White
1479 98444 female 59 154.6 90.5 NH White
1480 98445 female 25 161.8 68.3 Other Hispanic
1481 98448 female 24 164.1 115.7 NH Black
1482 98454 female 63 164.8 86.4 Mexican
1483 98460 female 27 158.6 82.4 Mexican
1484 98461 female 54 163.0 49.2 NH Asian
1485 98463 female 66 165.7 83.3 NH White
1486 98470 female 38 162.4 76.5 Other Hispanic
1487 98473 female 65 143.5 73.1 Other Hispanic
1488 98483 female 26 157.9 51.6 NH White
1489 98489 female 55 164.0 94.3 NH Black
1490 98491 female 61 159.2 149.0 NH White
1491 98493 female 18 157.0 65.7 Mexican
1492 98494 female 25 165.0 64.2 Other/Mixed
1493 98496 female 46 166.0 93.4 NH Black
1494 98498 female 74 158.5 58.7 NH White
1495 98500 female 56 147.6 62.7 Other Hispanic
1496 98501 female 68 155.2 72.3 Other Hispanic
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1498 98506 female 64 159.1 99.7 NH Black
1499 98509 female 28 180.6 109.7 NH White
1500 98512 female 32 161.1 108.3 NH Black
1501 98517 female 80 161.1 73.5 NH White
1502 98524 female 49 159.1 91.5 NH Black
1503 98527 female 30 149.9 44.8 NH Black
1504 98529 female 70 161.7 60.8 NH White
1505 98531 female 20 152.4 49.1 NH White
1506 98535 female 80 154.7 52.5 NH White
1507 98536 female 77 149.6 55.4 NH White
1508 98537 female 59 157.0 79.0 Mexican
1509 98541 female 68 160.2 86.5 Mexican
1510 98542 female 54 163.0 84.3 NH Black
1511 98544 female 29 164.7 59.5 NH White
1512 98545 female 36 156.4 59.5 Other Hispanic
1513 98549 female 63 157.9 76.3 Mexican
1514 98551 female 32 163.6 74.8 NH Asian
1515 98553 female 40 159.3 58.2 Other Hispanic
1516 98554 female 63 170.2 64.6 Other Hispanic
1517 98558 female 63 161.0 73.3 NH Black
1518 98562 female 67 156.9 71.9 NH Black
1519 98564 female 39 168.3 68.5 NH White
1520 98565 female 57 154.3 52.5 NH White
1521 98571 female 28 174.5 91.6 NH Black
1522 98574 female 56 187.8 88.7 NH Black
1523 98579 female 36 156.0 61.4 NH Asian
1524 98581 female 67 155.0 85.2 NH White
1525 98585 female 51 162.9 50.3 Mexican
1526 98589 female 21 165.2 144.0 Mexican
1527 98592 female 68 149.5 54.7 NH Asian
1528 98594 female 38 160.8 111.1 Mexican
1529 98595 female 50 157.7 71.2 Mexican
1530 98597 female 66 147.8 79.7 Mexican
1531 98601 female 41 159.0 74.7 NH Black
1532 98602 female 64 156.7 83.0 Mexican
1533 98603 female 69 159.4 89.0 Other/Mixed
1534 98605 female 55 163.5 135.8 NH Black
1535 98609 female 62 169.2 77.5 Mexican
1536 98611 female 59 158.5 68.2 Other Hispanic
1537 98614 female 59 170.7 70.6 NH Asian
1538 98616 female 44 154.5 46.2 NH Asian
1539 98617 female 55 150.5 69.3 Other/Mixed
1540 98622 female 59 163.2 89.8 NH Black
1541 98631 female 43 163.3 69.1 NH White
1542 98634 female 75 164.0 70.2 Other Hispanic
1543 98645 female 75 159.6 75.6 NH White
1544 98646 female 43 154.0 72.9 Mexican
1545 98648 female 80 152.2 71.8 NH White
1546 98651 female 73 155.8 73.1 NH Black
1547 98661 female 31 168.5 44.6 NH Black
1548 98662 female 66 155.2 70.8 Mexican
1549 98667 female 80 155.6 64.6 NH White
1550 98673 female 55 151.1 63.4 NH Asian
1551 98680 female 37 154.7 100.6 NH Black
1552 98681 female 80 153.9 71.4 NH Black
1553 98685 female 64 170.8 81.6 Other/Mixed
1554 98687 female 30 159.0 66.6 NH White
1555 98693 female 56 159.0 77.6 Mexican
1556 98694 female 54 159.7 92.0 NH White
1557 98698 female 27 159.2 52.5 NH Asian
1558 98699 female 68 164.0 65.9 Other Hispanic
1559 98701 female 74 157.0 70.5 NH White
1560 98703 female 69 160.2 115.2 NH Black
1561 98707 female 63 168.4 73.5 NH Black
1562 98713 female 59 170.6 80.3 Other/Mixed
1563 98714 female 40 161.3 110.3 Mexican
1564 98716 female 41 159.3 112.5 NH Black
1565 98718 female 35 152.9 66.0 Other Hispanic
1566 98721 female 55 160.5 90.1 NH Black
1567 98722 female 57 166.3 133.8 NH Black
1568 98729 female 30 149.2 44.5 NH Asian
1569 98733 female 36 166.7 83.4 NH White
1570 98741 female 64 160.8 90.8 NH White
1571 98742 female 80 143.8 59.9 Mexican
1572 98744 female 64 155.5 77.7 NH Black
1573 98745 female 60 172.5 71.0 NH Black
1574 98746 female 60 171.1 98.2 NH White
1575 98755 female 68 156.3 61.9 NH White
1576 98763 female 51 163.4 79.5 NH Black
1577 98767 female 63 158.7 62.5 NH Asian
1578 98768 female 76 162.5 88.2 NH Black
1579 98770 female 46 167.1 146.2 NH Black
1580 98776 female 45 189.3 152.6 NH White
1581 98781 female 55 162.1 93.1 NH White
1582 98782 female 43 158.9 74.1 NH Black
1583 98783 female 40 169.1 126.3 NH White
1584 98784 female 25 169.8 102.0 Other/Mixed
1585 98788 female 20 167.7 106.7 Mexican
1586 98789 female 53 152.1 59.0 Other Hispanic
1587 98793 female 46 152.8 53.5 NH Asian
1588 98796 female 21 162.5 60.3 NH Black
1589 98797 female 55 150.1 50.1 NH White
1590 98799 female 32 170.2 125.9 NH White
1591 98804 female 39 154.6 75.0 NH Asian
1592 98806 female 72 155.8 77.2 Other Hispanic
1593 98807 female 29 162.5 79.1 Mexican
1594 98810 female 55 154.6 91.0 NH Black
1595 98812 female 31 160.9 60.7 NH Asian
1596 98815 female 75 151.3 47.6 NH White
1597 98817 female 21 163.3 52.8 NH White
1598 98819 female 58 155.7 111.7 NH Black
1599 98821 female 35 167.4 78.1 NH White
1600 98823 female 51 145.4 71.9 Other Hispanic
1601 98827 female 80 169.8 77.2 Other/Mixed
1602 98828 female 29 162.9 103.6 NH Black
1603 98832 female 48 171.9 79.5 NH Black
1604 98833 female 75 147.3 56.3 NH White
1605 98834 female 55 166.6 56.5 NH White
1606 98838 female 70 149.9 51.7 NH White
1607 98839 female 32 152.0 66.1 NH Asian
1608 98840 female 50 159.3 89.1 Other/Mixed
1609 98845 female 50 161.0 77.3 NH Asian
1610 98846 female 47 169.2 83.3 NH White
1611 98848 female 78 146.6 48.1 NH Asian
1612 98851 female 23 160.4 55.7 Other/Mixed
1613 98858 female 65 164.0 89.9 NH Black
1614 98870 female 24 166.4 72.6 NH White
1615 98872 female 44 157.3 98.2 NH Black
1616 98878 female 42 156.9 74.5 Mexican
1617 98883 female 18 158.6 59.1 Mexican
1618 98891 female 53 148.1 63.1 Other Hispanic
1619 98899 female 66 157.9 86.4 NH White
1620 98902 female 56 165.2 51.5 NH Asian
1621 98903 female 73 158.8 86.2 Other Hispanic
1622 98904 female 51 157.8 47.5 NH White
1623 98914 female 63 166.1 83.4 NH White
1624 98917 female 56 161.0 74.9 NH White
1625 98921 female 26 164.0 104.8 NH White
1626 98923 female 48 159.8 104.7 NH Black
1627 98925 female 21 167.5 106.1 Mexican
1628 98926 female 48 152.6 50.9 NH Asian
1629 98927 female 18 152.6 63.5 NH Black
1630 98931 female 68 156.7 69.7 NH Black
1631 98933 female 46 163.7 52.9 NH White
1632 98934 female 80 145.5 59.3 NH White
1633 98938 female 19 NA NA NH White
1634 98940 female 64 148.7 61.6 Mexican
1635 98941 female 59 146.0 50.2 NH Asian
1636 98946 female 65 149.4 73.6 NH White
1637 98951 female 52 161.4 88.8 NH Black
1638 98953 female 19 158.3 50.3 NH White
1639 98958 female 23 149.0 39.8 NH White
1640 98961 female 77 154.1 52.8 Mexican
1641 98965 female 67 151.3 92.9 Mexican
1642 98966 female 68 159.8 76.4 NH Asian
1643 98971 female 28 155.6 79.5 NH Black
1644 98972 female 67 166.3 67.2 NH White
1645 98976 female 57 156.0 59.3 NH Asian
1646 98977 female 67 152.2 59.6 Other Hispanic
1647 98982 female 25 158.4 53.8 NH Black
1648 98985 female 31 165.1 51.3 NH Asian
1649 98988 female 59 157.5 92.8 Mexican
1650 98989 female 76 154.2 100.1 NH White
1651 98995 female 55 172.2 77.0 Other Hispanic
1652 98996 female 69 158.0 66.4 NH Black
1653 98998 female 51 159.2 96.3 NH Black
1654 99005 female 26 168.1 108.1 NH Black
1655 99009 female 38 165.5 74.2 NH White
1656 99012 female 51 147.9 58.5 Other Hispanic
1657 99013 female 19 159.2 52.8 Mexican
1658 99018 female 68 161.0 82.8 NH White
1659 99019 female 41 168.4 131.9 Mexican
1660 99024 female 38 166.7 64.6 NH Asian
1661 99025 female 45 159.5 56.0 NH White
1662 99026 female 75 161.0 59.9 NH Asian
1663 99028 female 42 155.2 84.6 Mexican
1664 99038 female 27 165.0 92.1 NH Black
1665 99041 female 19 NA NA NH White
1666 99044 female 71 160.9 97.7 NH White
1667 99047 female 80 144.9 46.6 NH White
1668 99056 female 80 146.1 60.1 NH White
1669 99058 female 64 156.2 51.3 NH Asian
1670 99062 female 29 144.8 57.0 Other Hispanic
1671 99064 female 60 162.2 89.0 Other/Mixed
1672 99069 female 80 153.5 89.1 NH Black
1673 99084 female 80 166.6 92.3 NH White
1674 99089 female 25 158.2 61.4 NH Black
1675 99095 female 47 152.9 45.8 NH Asian
1676 99098 female 39 169.1 83.1 Mexican
1677 99099 female 45 156.3 91.4 Mexican
1678 99101 female 80 147.2 67.6 NH Asian
1679 99104 female 63 166.9 68.4 NH White
1680 99105 female 39 164.6 63.9 NH Asian
1681 99110 female 20 146.6 43.2 Mexican
1682 99111 female 48 166.3 66.9 NH Black
1683 99116 female 53 160.8 52.4 NH Asian
1684 99117 female 72 155.9 72.9 NH Asian
1685 99121 female 20 158.1 82.7 Mexican
1686 99125 female 20 148.6 48.8 NH Asian
1687 99127 female 67 151.6 50.9 NH Asian
1688 99131 female 56 165.2 143.5 NH White
1689 99140 female 62 164.9 80.1 NH Black
1690 99144 female 78 NA NA NH Black
1691 99148 female 78 155.9 55.8 NH White
1692 99151 female 22 162.2 69.2 NH White
1693 99152 female 72 162.2 121.1 NH White
1694 99153 female 53 165.3 61.8 Other/Mixed
1695 99157 female 62 154.9 50.4 NH Asian
1696 99159 female 57 154.2 60.7 NH White
1697 99160 female 43 165.9 83.1 Other/Mixed
1698 99167 female 50 160.4 79.1 NH Black
1699 99168 female 40 152.7 53.5 Other Hispanic
1700 99174 female 65 160.5 82.4 Mexican
1701 99176 female 63 147.4 54.8 NH Asian
1702 99179 female 80 158.0 48.1 NH Black
1703 99182 female 34 167.7 79.7 Other Hispanic
1704 99190 female 53 154.5 63.5 Other Hispanic
1705 99191 female 80 155.8 62.2 NH White
1706 99193 female 44 150.5 84.5 NH Asian
1707 99194 female 30 154.5 75.9 NH Black
1708 99197 female 28 154.7 54.0 Other Hispanic
1709 99198 female 22 162.5 76.2 Mexican
1710 99200 female 49 159.8 93.8 NH Black
1711 99201 female 18 162.3 66.0 Other/Mixed
1712 99204 female 65 145.6 60.2 Mexican
1713 99207 female 24 150.2 66.7 NH Black
1714 99209 female 80 160.0 55.9 NH Asian
1715 99220 female 78 162.5 76.7 NH Black
1716 99222 female 66 154.0 68.2 NH Black
1717 99224 female 46 161.8 94.0 NH Black
1718 99226 female 47 157.8 73.6 Other Hispanic
1719 99229 female 19 NA NA NH Black
1720 99230 female 61 164.5 90.4 Other/Mixed
1721 99231 female 37 160.4 76.5 NH White
1722 99233 female 20 154.6 49.6 Mexican
1723 99237 female 44 150.3 57.9 NH Asian
1724 99239 female 78 153.9 113.6 NH White
1725 99240 female 54 166.7 49.9 NH Black
1726 99242 female 46 160.4 69.4 Mexican
1727 99246 female 39 155.0 75.3 NH Black
1728 99249 female 18 152.7 69.0 NH Asian
1729 99255 female 56 156.7 140.5 NH Black
1730 99257 female 49 155.0 78.9 Mexican
1731 99259 female 80 153.2 51.0 NH Asian
1732 99260 female 48 159.2 100.3 NH White
1733 99263 female 50 156.0 55.4 NH Asian
1734 99265 female 67 147.8 82.8 Mexican
1735 99270 female 62 162.3 80.7 Other/Mixed
1736 99271 female 56 152.9 42.3 NH Asian
1737 99274 female 53 162.9 75.8 Other Hispanic
1738 99275 female 18 162.4 71.8 Other Hispanic
1739 99279 female 34 150.7 76.0 Mexican
1740 99282 female 42 162.9 104.8 NH Black
1741 99285 female 61 158.3 84.1 Mexican
1742 99289 female 64 152.7 86.9 NH White
1743 99296 female 77 160.1 53.2 NH White
1744 99298 female 59 162.8 54.5 Other/Mixed
1745 99299 female 62 155.4 83.5 Mexican
1746 99300 female 44 159.3 70.1 Other Hispanic
1747 99303 female 68 164.1 70.9 NH Black
1748 99309 female 80 161.1 62.9 NH White
1749 99310 female 74 143.9 81.6 Other Hispanic
1750 99313 female 64 160.1 63.0 NH White
1751 99318 female 28 173.6 64.5 NH Black
1752 99320 female 30 160.1 53.6 NH Asian
1753 99322 female 35 155.1 74.9 NH Black
1754 99332 female 63 153.7 81.7 Mexican
1755 99333 female 73 148.1 53.2 NH Asian
1756 99338 female 37 162.6 70.0 Mexican
1757 99339 female 21 159.4 93.4 Mexican
1758 99340 female 52 161.5 51.5 NH White
1759 99341 female 63 160.9 77.3 NH White
1760 99343 female 80 155.9 76.6 NH Black
1761 99348 female 80 161.5 82.7 NH White
1762 99353 female 30 168.5 138.9 NH Black
1763 99354 female 19 157.4 115.0 NH White
1764 99359 female 37 155.5 69.4 NH Asian
1765 99366 female 47 153.2 95.2 Mexican
1766 99370 female 48 159.4 97.8 NH Black
1767 99372 female 67 174.9 58.7 NH White
1768 99374 female 60 170.8 71.5 NH White
1769 99377 female 80 147.6 63.5 Other Hispanic
1770 99378 female 36 158.2 70.5 Mexican
1771 99380 female 80 NA NA NH White
1772 99381 female 80 NA NA Other Hispanic
1773 99383 female 75 152.4 64.9 NH Black
1774 99385 female 68 164.9 66.1 NH White
1775 99387 female 80 162.3 70.2 NH White
1776 99388 female 55 169.1 139.9 NH Black
1777 99389 female 59 159.7 91.9 NH White
1778 99390 female 41 166.7 75.2 Other/Mixed
1779 99392 female 48 163.3 59.4 NH Black
1780 99396 female 22 159.7 84.0 Mexican
1781 99400 female 26 152.0 74.3 Mexican
1782 99401 female 22 176.9 62.7 NH Asian
1783 99404 female 34 168.3 70.9 Other Hispanic
1784 99407 female 49 155.1 120.0 NH Black
1785 99410 female 52 161.6 97.6 NH White
1786 99415 female 73 157.6 76.3 NH Black
1787 99418 female 61 156.5 61.8 NH Black
1788 99420 female 51 155.0 81.6 NH Black
1789 99425 female 57 165.6 97.3 NH Black
1790 99427 female 45 162.8 107.7 NH White
1791 99428 female 19 159.4 55.4 Other Hispanic
1792 99429 female 62 150.0 72.1 NH Black
1793 99431 female 48 170.2 84.1 Other/Mixed
1794 99436 female 22 173.5 100.8 NH Black
1795 99437 female 80 151.0 57.3 NH White
1796 99438 female 41 153.8 69.0 NH Asian
1797 99439 female 34 158.4 50.6 Other/Mixed
1798 99440 female 55 155.3 65.3 NH Asian
1799 99441 female 65 157.4 63.1 Other Hispanic
1800 99442 female 35 159.1 60.9 NH White
1801 99446 female 29 167.4 71.0 NH White
1802 99452 female 63 162.2 49.0 NH White
1803 99453 female 29 159.7 61.1 Other Hispanic
1804 99459 female 20 162.1 109.5 Other Hispanic
1805 99463 female 23 159.1 77.6 Other Hispanic
1806 99465 female 70 149.3 60.9 Other Hispanic
1807 99466 female 29 146.4 90.1 Other Hispanic
1808 99470 female 56 163.1 130.8 NH Black
1809 99474 female 63 178.8 124.2 NH White
1810 99479 female 58 146.2 91.4 Mexican
1811 99481 female 32 155.0 64.4 NH White
1812 99484 female 51 161.8 109.1 Other Hispanic
1813 99494 female 46 157.2 71.0 Mexican
1814 99495 female 43 155.8 49.2 NH White
1815 99496 female 43 151.1 57.9 NH Black
1816 99497 female 56 170.9 75.0 NH Asian
1817 99501 female 78 154.9 68.3 NH Black
1818 99503 female 61 162.3 114.3 NH Black
1819 99505 female 45 170.4 75.8 NH White
1820 99507 female 78 169.9 79.6 NH Black
1821 99509 female 73 149.4 82.2 NH White
1822 99510 female 35 159.3 43.1 NH Asian
1823 99511 female 55 152.8 76.6 NH White
1824 99512 female 65 171.8 53.8 NH Black
1825 99513 female 36 161.6 80.6 NH Asian
1826 99517 female 39 161.6 82.2 Mexican
1827 99519 female 65 164.9 56.4 NH White
1828 99521 female 77 160.2 85.8 NH Black
1829 99525 female 26 171.8 82.6 NH White
1830 99526 female 29 153.2 97.7 NH Asian
1831 99531 female 55 162.1 68.6 Mexican
1832 99532 female 63 159.8 61.1 NH Asian
1833 99533 female 73 156.7 65.0 NH White
1834 99534 female 67 155.6 87.1 NH Asian
1835 99536 female 36 172.2 126.6 NH Black
1836 99552 female 18 171.2 112.0 NH Black
1837 99556 female 62 157.5 NA NH White
1838 99564 female 76 158.8 59.5 Other Hispanic
1839 99568 female 52 155.8 45.7 Other Hispanic
1840 99575 female 74 155.1 73.5 NH White
1841 99577 female 27 166.1 84.2 NH White
1842 99583 female 23 158.7 51.7 NH White
1843 99590 female 54 164.2 96.9 NH White
1844 99599 female 48 180.4 90.6 NH White
1845 99600 female 55 153.0 68.8 NH Black
1846 99602 female 64 155.5 101.1 Mexican
1847 99606 female 70 152.2 107.2 Mexican
1848 99615 female 63 160.6 115.4 NH White
1849 99616 female 39 168.0 179.2 NH White
1850 99622 female 61 165.3 96.7 NH White
1851 99628 female 52 162.2 56.2 Mexican
1852 99635 female 65 152.5 96.2 NH Black
1853 99636 female 53 157.1 121.3 Mexican
1854 99643 female 80 151.4 53.9 NH White
1855 99645 female 80 151.4 69.4 NH Black
1856 99658 female 66 151.5 83.3 Mexican
1857 99659 female 41 158.0 61.5 NH Asian
1858 99661 female 48 158.3 62.0 NH Black
1859 99662 female 65 164.9 98.2 NH Black
1860 99665 female 46 152.0 69.4 NH Asian
1861 99672 female 32 157.6 59.5 NH Asian
1862 99675 female 53 151.3 103.3 NH White
1863 99676 female 51 154.1 60.8 Other Hispanic
1864 99678 female 38 159.6 63.1 NH Asian
1865 99683 female 80 147.0 73.3 NH White
1866 99684 female 64 144.1 49.7 NH Asian
1867 99691 female 44 166.0 64.9 Mexican
1868 99695 female 37 161.7 127.9 NH White
1869 99697 female 18 159.1 82.1 Mexican
1870 99698 female 74 163.5 93.0 NH Black
1871 99703 female 80 155.7 61.1 NH White
1872 99705 female 40 159.1 90.2 Other Hispanic
1873 99708 female 63 165.5 73.3 Other Hispanic
1874 99710 female 30 163.3 58.2 Other/Mixed
1875 99711 female 58 160.7 72.3 NH Asian
1876 99714 female 35 157.8 92.7 NH White
1877 99715 female 24 160.5 122.1 NH Black
1878 99717 female 60 157.7 72.8 NH Black
1879 99719 female 60 162.8 52.0 Other/Mixed
1880 99721 female 20 174.0 74.8 NH Black
1881 99726 female 77 154.8 61.1 NH White
1882 99727 female 78 167.3 71.5 NH White
1883 99743 female 80 150.7 71.1 NH White
1884 99744 female 51 172.3 67.0 NH White
1885 99747 female 80 148.0 79.0 NH White
1886 99749 female 33 176.6 123.3 NH Black
1887 99751 female 27 164.0 90.8 NH White
1888 99757 female 18 154.6 47.7 Other Hispanic
1889 99758 female 80 160.3 71.4 NH White
1890 99761 female 20 158.8 51.4 Other Hispanic
1891 99762 female 55 170.5 81.7 Mexican
1892 99763 female 54 154.6 57.7 Mexican
1893 99765 female 46 160.0 66.6 Mexican
1894 99768 female 28 166.4 120.0 NH White
1895 99771 female 19 160.4 59.1 Other/Mixed
1896 99772 female 43 161.0 133.0 NH Black
1897 99774 female 80 NA NA NH Asian
1898 99779 female 41 NA NA Mexican
1899 99782 female 53 163.2 62.8 Mexican
1900 99785 female 80 153.7 81.8 NH White
1901 99793 female 26 164.3 78.2 NH White
1902 99795 female 21 153.3 122.1 Other Hispanic
1903 99806 female 70 145.1 76.3 Other Hispanic
1904 99808 female 39 158.7 77.0 Other Hispanic
1905 99811 female 48 149.8 76.5 Mexican
1906 99815 female 71 163.4 121.1 NH Black
1907 99816 female 55 152.8 97.2 NH White
1908 99817 female 57 165.3 72.5 NH Black
1909 99822 female 28 166.2 52.4 NH Asian
1910 99824 female 33 165.1 63.6 NH Asian
1911 99838 female 48 152.4 83.7 NH White
1912 99840 female 74 159.0 64.1 Other Hispanic
1913 99848 female 39 170.9 69.4 NH White
1914 99851 female 71 150.4 57.9 NH Asian
1915 99852 female 21 169.3 85.8 NH Black
1916 99854 female 69 163.8 105.7 NH White
1917 99857 female 36 153.3 86.6 Mexican
1918 99861 female 30 164.6 56.2 NH Asian
1919 99864 female 36 168.3 124.3 NH White
1920 99868 female 70 153.3 92.5 NH White
1921 99871 female 25 161.6 99.5 Mexican
1922 99872 female 31 165.5 88.5 NH White
1923 99879 female 27 159.0 49.7 NH Black
1924 99881 female 55 165.8 56.0 NH Asian
1925 99885 female 30 177.7 75.7 NH Black
1926 99886 female 63 164.1 68.3 NH White
1927 99887 female 27 170.7 76.1 NH White
1928 99890 female 68 158.1 99.0 NH White
1929 99891 female 36 161.6 53.7 NH White
1930 99892 female 19 165.4 58.0 NH White
1931 99893 female 41 159.0 76.9 NH Black
1932 99901 female 36 159.2 110.7 NH Black
1933 99907 female 66 149.5 58.5 NH White
1934 99908 female 63 159.1 80.1 Mexican
1935 99910 female 30 156.4 56.4 NH White
1936 99914 female 70 157.1 85.1 NH Black
1937 99918 female 33 160.4 67.2 NH Asian
1938 99920 female 36 172.7 84.6 NH White
1939 99924 female 21 157.0 52.4 NH Asian
1940 99926 female 54 160.6 83.9 Mexican
1941 99930 female 63 158.5 53.9 NH Asian
1942 99931 female 20 155.4 58.1 NH Asian
1943 99934 female 26 165.6 157.4 NH White
1944 99935 female 42 170.2 91.0 Mexican
1945 99937 female 54 152.3 63.8 Other Hispanic
1946 99938 female 37 161.6 51.5 NH Black
1947 99939 female 39 160.5 62.1 NH Black
1948 99941 female 56 160.2 85.1 NH Asian
1949 99942 female 35 158.2 67.3 Mexican
1950 99945 female 74 153.4 54.6 NH Asian
1951 99947 female 56 163.9 90.9 NH Black
1952 99948 female 80 156.2 59.3 NH White
1953 99949 female 21 154.6 80.8 NH Asian
1954 99951 female 38 157.9 67.4 Other Hispanic
1955 99961 female 39 164.0 65.4 NH Asian
1956 99964 female 21 167.4 79.1 Mexican
1957 99966 female 46 153.5 55.7 NH Asian
1958 99968 female 19 155.4 85.1 NH White
1959 99974 female 26 163.8 54.6 NH White
1960 99977 female 77 158.3 94.9 NH Black
1961 99979 female 80 150.6 45.6 NH Asian
1962 99983 female 33 171.6 150.6 NH Black
1963 99984 female 54 164.9 87.7 Other Hispanic
1964 99985 female 37 165.5 67.5 NH White
1965 99986 female 31 162.3 101.9 Mexican
1966 99989 female 21 166.1 89.2 Mexican
1967 99992 female 61 168.8 105.8 NH Black
1968 99994 female 48 149.5 64.9 Mexican
1969 99996 female 51 164.2 84.6 NH Black
1970 99997 female 64 149.2 61.8 Mexican
1971 100000 female 21 156.0 73.9 NH Black
1972 100003 female 19 165.0 62.5 Other Hispanic
1973 100004 female 65 159.2 60.2 Other Hispanic
1974 100007 female 63 179.8 78.2 NH Black
1975 100008 female 56 156.5 73.3 NH Asian
1976 100009 female 19 153.5 86.5 NH White
1977 100013 female 43 153.6 59.0 NH Asian
1978 100014 female 19 155.9 57.5 NH Asian
1979 100024 female 39 170.1 91.2 NH White
1980 100025 female 35 167.4 148.9 NH White
1981 100026 female 22 161.0 75.4 Other/Mixed
1982 100029 female 20 154.8 54.3 Mexican
1983 100032 female 27 152.5 48.0 NH Asian
1984 100033 female 62 159.4 71.2 Mexican
1985 100035 female 18 149.3 54.5 NH Black
1986 100043 female 67 159.1 108.4 NH Black
1987 100053 female 77 148.8 58.5 NH Asian
1988 100055 female 47 153.1 76.0 NH Asian
1989 100061 female 55 162.1 54.4 NH Asian
1990 100062 female 48 147.3 61.1 NH Asian
1991 100064 female 71 164.8 62.9 Other Hispanic
1992 100068 female 22 154.5 57.8 NH White
1993 100069 female 20 146.7 53.1 NH Asian
1994 100070 female 28 162.2 59.2 NH White
1995 100072 female 33 155.2 49.8 Mexican
1996 100077 female 32 159.8 82.2 Mexican
1997 100079 female 80 151.5 56.4 NH White
1998 100082 female 18 166.4 200.9 Other/Mixed
1999 100083 female 80 152.0 51.6 NH White
2000 100087 female 30 157.8 91.2 NH White
2001 100089 female 24 154.5 50.1 NH White
2002 100090 female 24 153.8 63.3 Mexican
2003 100094 female 66 154.8 113.0 NH Black
2004 100095 female 27 167.6 94.4 Other Hispanic
2005 100105 female 50 156.8 134.1 NH Black
2006 100108 female 27 173.8 71.5 NH White
2007 100112 female 57 155.7 50.6 Other Hispanic
2008 100115 female 47 159.6 72.4 NH White
2009 100116 female 63 154.1 58.7 Other Hispanic
2010 100117 female 29 154.9 64.6 NH Asian
2011 100119 female 47 162.5 116.1 NH White
2012 100137 female 43 158.3 89.7 Other Hispanic
2013 100143 female 80 152.0 84.1 NH White
2014 100144 female 33 156.9 78.7 Other Hispanic
2015 100145 female 45 159.5 69.3 Other Hispanic
2016 100148 female 22 170.6 61.2 Other Hispanic
2017 100149 female 80 158.2 49.6 NH White
2018 100150 female 51 153.3 66.9 Mexican
2019 100152 female 34 157.6 73.6 NH Black
2020 100160 female 26 150.6 75.8 NH White
2021 100162 female 64 144.8 51.7 Other Hispanic
2022 100163 female 69 166.8 83.6 NH Black
2023 100171 female 28 158.2 70.7 Mexican
2024 100172 female 42 162.1 83.1 NH White
2025 100178 female 40 155.8 77.6 NH White
2026 100181 female 37 158.1 91.8 Mexican
2027 100188 female 80 153.2 61.0 NH White
2028 100190 female 32 168.7 98.0 Other Hispanic
2029 100191 female 42 161.8 71.2 NH White
2030 100195 female 32 159.2 56.6 NH Asian
2031 100196 female 32 170.2 66.5 NH Black
2032 100200 female 43 162.7 104.5 Other/Mixed
2033 100202 female 22 156.4 85.7 Mexican
2034 100204 female 36 173.6 87.2 Other Hispanic
2035 100206 female 62 158.6 95.4 Other Hispanic
2036 100210 female 60 163.3 99.3 NH White
2037 100211 female 41 152.9 72.7 Mexican
2038 100216 female 42 158.0 52.8 Mexican
2039 100221 female 30 173.5 68.3 NH Black
2040 100222 female 65 163.4 91.9 NH Black
2041 100228 female 74 148.6 70.0 NH White
2042 100230 female 59 144.5 73.1 Mexican
2043 100231 female 69 154.2 118.5 Mexican
2044 100233 female 65 165.0 96.9 NH Black
2045 100234 female 30 151.2 49.2 NH Asian
2046 100241 female 36 161.4 55.5 NH White
2047 100242 female 32 155.7 55.6 NH Black
2048 100246 female 22 155.6 44.0 NH Asian
2049 100247 female 61 159.2 99.1 Other Hispanic
2050 100250 female 57 172.5 78.0 NH White
2051 100251 female 45 171.9 122.9 NH Black
2052 100254 female 28 169.7 72.4 NH Black
2053 100257 female 55 162.5 75.6 NH Asian
2054 100258 female 25 159.5 88.4 NH White
2055 100260 female 18 154.5 80.0 NH White
2056 100261 female 80 156.3 80.3 NH White
2057 100262 female 18 167.5 67.9 Mexican
2058 100265 female 55 160.2 52.9 NH Asian
2059 100266 female 40 164.6 49.8 NH White
2060 100268 female 60 154.4 67.4 NH Asian
2061 100269 female 24 163.3 76.4 NH White
2062 100271 female 36 159.8 81.1 NH White
2063 100274 female 60 156.8 94.9 NH Asian
2064 100277 female 18 164.2 96.3 NH White
2065 100278 female 75 167.3 84.6 NH White
2066 100280 female 33 161.2 101.3 NH White
2067 100281 female 59 152.9 97.7 NH White
2068 100283 female 65 149.4 99.6 Other Hispanic
2069 100286 female 45 170.1 96.1 NH Black
2070 100287 female 18 157.3 54.5 Mexican
2071 100288 female 43 162.1 106.2 NH Asian
2072 100291 female 61 164.3 86.2 NH Black
2073 100292 female 56 155.0 125.5 Other/Mixed
2074 100293 female 29 161.2 75.0 NH Black
2075 100294 female 40 166.9 71.9 NH Black
2076 100298 female 47 168.8 103.6 NH Black
2077 100299 female 27 165.7 112.1 NH Black
2078 100301 female 53 164.4 99.5 Other/Mixed
2079 100309 female 80 161.8 76.0 NH White
2080 100313 female 35 169.5 57.4 NH White
2081 100319 female 47 165.3 119.2 NH White
2082 100324 female 46 154.1 69.2 Other Hispanic
2083 100325 female 35 161.8 66.3 NH Asian
2084 100326 female 21 153.7 92.3 NH Black
2085 100329 female 27 158.3 84.2 Other Hispanic
2086 100346 female 79 148.4 52.2 Other/Mixed
2087 100348 female 49 156.1 84.8 NH Black
2088 100354 female 80 NA NA NH Asian
2089 100356 female 39 173.7 92.7 NH Black
2090 100357 female 63 152.5 76.1 NH Asian
2091 100358 female 62 165.6 101.7 Mexican
2092 100362 female 70 157.5 67.8 NH White
2093 100365 female 22 156.9 63.7 Mexican
2094 100369 female 55 147.2 61.0 NH Asian
2095 100378 female 44 148.1 116.6 Other/Mixed
2096 100386 female 37 159.1 100.2 Mexican
2097 100388 female 56 150.5 96.3 NH White
2098 100389 female 55 159.2 78.7 NH Black
2099 100390 female 67 165.9 70.3 NH Black
2100 100395 female 77 154.9 79.5 NH Black
2101 100396 female 65 153.8 62.3 Mexican
2102 100399 female 74 156.4 81.7 NH White
2103 100402 female 51 155.0 69.5 NH White
2104 100404 female 66 153.5 59.7 NH Asian
2105 100410 female 58 165.5 88.1 Mexican
2106 100412 female 65 159.5 75.2 Mexican
2107 100415 female 49 159.4 71.5 NH Black
2108 100421 female 50 159.4 57.8 Other Hispanic
2109 100424 female 73 160.9 60.6 NH Black
2110 100427 female 38 150.8 74.6 Mexican
2111 100428 female 29 149.8 68.0 NH White
2112 100431 female 28 163.3 116.3 NH White
2113 100434 female 32 152.5 104.5 Mexican
2114 100436 female 48 149.7 112.7 Mexican
2115 100438 female 22 159.7 60.5 Mexican
2116 100440 female 28 154.3 61.3 Mexican
2117 100442 female 68 165.2 116.9 NH White
2118 100445 female 61 158.2 62.6 NH Black
2119 100451 female 40 155.9 58.7 NH Asian
2120 100454 female 52 154.4 60.8 NH Asian
2121 100457 female 19 152.0 54.8 Other Hispanic
2122 100461 female 19 160.4 52.9 Other/Mixed
2123 100465 female 30 153.5 82.6 NH Asian
2124 100468 female 52 157.7 83.1 NH Black
2125 100474 female 67 153.3 84.2 NH White
2126 100476 female 38 158.9 56.9 NH Asian
2127 100479 female 18 NA NA NH Black
2128 100481 female 59 162.0 74.7 NH Asian
2129 100483 female 51 158.9 85.5 Mexican
2130 100484 female 55 163.9 90.2 NH White
2131 100490 female 80 157.0 45.3 NH White
2132 100497 female 80 155.8 73.4 NH White
2133 100499 female 52 155.0 123.2 Other Hispanic
2134 100500 female 34 168.0 86.8 NH Black
2135 100505 female 57 148.7 63.4 Mexican
2136 100508 female 80 158.2 61.4 NH White
2137 100509 female 79 153.3 66.9 NH White
2138 100510 female 37 149.7 73.2 NH Black
2139 100511 female 64 158.5 84.3 NH Black
2140 100515 female 70 153.5 56.6 NH Asian
2141 100526 female 33 170.9 82.9 Other Hispanic
2142 100528 female 47 167.4 133.8 NH White
2143 100532 female 46 162.8 90.6 NH Black
2144 100534 female 77 147.0 57.9 NH Asian
2145 100535 female 56 156.5 68.0 NH Asian
2146 100537 female 32 152.3 96.4 Mexican
2147 100540 female 35 155.5 70.0 Other Hispanic
2148 100544 female 61 170.6 100.7 NH Black
2149 100546 female 31 182.4 85.5 NH White
2150 100548 female 33 151.1 49.6 NH White
2151 100549 female 76 162.0 66.8 NH White
2152 100556 female 65 162.9 46.5 NH White
2153 100560 female 74 162.1 101.2 NH White
2154 100563 female 45 166.8 115.7 NH Black
2155 100570 female 69 152.9 112.6 Mexican
2156 100574 female 53 156.9 94.7 Other Hispanic
2157 100575 female 50 152.2 59.8 NH Asian
2158 100577 female 27 162.2 58.3 NH Black
2159 100583 female 29 151.7 63.8 Mexican
2160 100589 female 33 145.7 77.4 Mexican
2161 100608 female 64 153.2 84.8 Mexican
2162 100610 female 41 167.9 61.2 NH Black
2163 100619 female 28 170.6 87.0 NH White
2164 100623 female 36 171.3 71.4 NH White
2165 100625 female 54 149.9 75.2 Mexican
2166 100627 female 43 147.1 42.2 Other/Mixed
2167 100639 female 80 173.0 78.2 NH White
2168 100641 female 24 160.5 49.1 NH Asian
2169 100644 female 31 161.2 62.7 NH White
2170 100650 female 61 NA NA NH White
2171 100654 female 74 164.9 104.6 NH White
2172 100657 female 57 155.0 132.3 NH Black
2173 100663 female 71 165.3 85.4 NH White
2174 100672 female 25 156.9 75.0 Mexican
2175 100673 female 35 150.5 47.9 NH Black
2176 100675 female 21 156.7 73.0 NH Black
2177 100677 female 56 167.5 72.4 NH White
2178 100681 female 56 160.6 72.2 Other Hispanic
2179 100684 female 35 152.5 65.1 NH Black
2180 100693 female 49 163.7 97.1 NH Black
2181 100698 female 48 163.7 60.8 NH Asian
2182 100701 female 33 163.4 116.5 NH Black
2183 100705 female 56 161.9 93.7 NH White
2184 100707 female 34 168.8 71.6 NH White
2185 100711 female 69 159.2 59.1 NH White
2186 100713 female 38 164.6 67.6 NH White
2187 100714 female 37 171.0 78.0 NH White
2188 100715 female 51 163.3 89.0 NH White
2189 100716 female 79 161.2 65.8 Mexican
2190 100717 female 49 168.5 120.1 NH White
2191 100721 female 73 152.1 58.5 Other Hispanic
2192 100725 female 67 158.9 66.6 NH Asian
2193 100726 female 69 152.4 81.8 Mexican
2194 100728 female 68 166.3 61.3 NH White
2195 100730 female 44 157.9 93.9 NH White
2196 100733 female 44 160.8 86.9 NH Asian
2197 100735 female 76 152.0 62.1 Other Hispanic
2198 100738 female 39 158.5 99.5 Other Hispanic
2199 100743 female 52 167.4 77.5 Mexican
2200 100747 female 55 158.2 77.4 Other/Mixed
2201 100748 female 62 167.1 70.8 NH Black
2202 100760 female 63 171.3 65.6 NH White
2203 100764 female 47 157.3 61.7 NH Asian
2204 100765 female 48 154.6 56.5 NH Asian
2205 100768 female 42 161.3 81.4 NH Asian
2206 100771 female 68 162.6 79.4 NH White
2207 100772 female 45 166.0 85.4 Other/Mixed
2208 100775 female 21 156.7 50.6 NH White
2209 100778 female 18 176.2 50.6 NH Black
2210 100790 female 60 169.8 78.6 NH Black
2211 100792 female 68 156.3 151.7 NH Black
2212 100800 female 76 146.7 66.7 NH White
2213 100802 female 51 156.5 91.9 NH Black
2214 100805 female 80 160.1 50.8 NH White
2215 100814 female 19 167.7 110.1 NH White
2216 100815 female 53 146.7 59.6 NH Black
2217 100816 female 43 170.8 93.3 NH White
2218 100817 female 60 160.4 72.5 Other/Mixed
2219 100818 female 27 152.5 58.4 NH Asian
2220 100821 female 68 160.8 70.4 Other Hispanic
2221 100825 female 37 177.8 116.6 NH Black
2222 100827 female 45 167.0 79.4 NH White
2223 100831 female 74 153.9 61.9 NH Black
2224 100832 female 36 148.5 64.9 NH White
2225 100838 female 37 162.5 128.8 NH White
2226 100841 female 41 160.9 56.6 NH Asian
2227 100847 female 57 156.9 130.8 NH Black
2228 100848 female 70 153.9 89.4 NH White
2229 100851 female 71 157.9 72.1 NH White
2230 100855 female 30 167.1 63.5 NH White
2231 100856 female 75 157.4 50.8 Other/Mixed
2232 100860 female 36 169.7 123.6 NH Black
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2235 100872 female 71 156.9 73.3 NH Black
2236 100886 female 72 158.6 99.0 NH White
2237 100887 female 64 166.4 81.8 NH Black
2238 100890 female 68 157.4 75.1 NH Black
2239 100895 female 58 156.9 63.3 NH Asian
2240 100896 female 28 160.8 95.8 NH White
2241 100898 female 42 156.6 69.3 NH White
2242 100902 female 52 154.8 56.5 NH Asian
2243 100913 female 23 157.9 70.3 NH Black
2244 100914 female 80 161.0 86.3 NH White
2245 100920 female 61 161.5 73.1 NH White
2246 100924 female 40 168.3 127.1 NH White
2247 100925 female 45 168.4 74.4 NH Black
2248 100929 female 40 172.8 107.1 NH Black
2249 100930 female 59 162.6 77.9 Other Hispanic
2250 100933 female 65 160.3 56.8 NH Asian
2251 100934 female 37 163.8 105.6 NH White
2252 100936 female 57 164.1 83.5 NH Asian
2253 100938 female 37 155.1 61.4 Other Hispanic
2254 100940 female 18 163.0 44.5 NH White
2255 100941 female 80 154.0 44.0 NH Black
2256 100943 female 42 158.4 96.6 Mexican
2257 100947 female 37 163.2 99.1 NH White
2258 100948 female 68 166.0 70.5 NH Black
2259 100949 female 51 163.8 97.5 NH Black
2260 100950 female 61 171.4 68.4 NH Black
2261 100961 female 20 169.3 49.4 NH White
2262 100965 female 25 159.2 45.4 NH Black
2263 100966 female 37 156.2 53.2 NH White
2264 100967 female 38 158.2 69.9 NH White
2265 100968 female 65 152.3 111.9 Mexican
2266 100969 female 61 166.2 101.3 NH White
2267 100971 female 22 142.3 85.5 NH Black
2268 100978 female 18 157.2 48.5 Mexican
2269 100980 female 30 163.1 73.2 NH Asian
2270 100983 female 42 154.5 72.1 NH Asian
2271 100986 female 50 163.1 72.2 Other Hispanic
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2273 100997 female 60 161.9 112.2 Other Hispanic
2274 100999 female 29 166.4 91.1 NH White
2275 101002 female 37 162.3 49.8 Other Hispanic
2276 101005 female 29 152.3 50.1 Other/Mixed
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2278 101009 female 21 172.3 146.6 Mexican
2279 101013 female 44 166.7 87.6 NH Black
2280 101014 female 42 170.0 59.1 NH White
2281 101015 female 80 156.5 69.7 NH White
2282 101025 female 23 166.9 68.2 NH Asian
2283 101026 female 61 157.9 66.7 Other Hispanic
2284 101028 female 59 159.1 61.6 Other Hispanic
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2286 101034 female 46 150.1 72.3 NH White
2287 101036 female 80 163.4 63.4 NH Black
2288 101037 female 41 155.1 106.8 NH White
2289 101049 female 57 150.8 107.5 NH White
2290 101052 female 49 167.2 108.9 NH Black
2291 101065 female 44 172.6 71.1 Mexican
2292 101068 female 55 154.8 47.2 NH White
2293 101070 female 34 166.4 89.0 Mexican
2294 101076 female 22 158.6 58.8 Other/Mixed
2295 101079 female 51 155.0 46.4 NH Asian
2296 101084 female 46 171.4 67.3 NH White
2297 101087 female 51 159.7 47.6 NH White
2298 101088 female 80 165.2 87.8 NH White
2299 101089 female 19 159.7 125.7 Mexican
2300 101091 female 58 161.8 98.9 NH Black
2301 101093 female 63 164.5 104.9 NH Black
2302 101095 female 56 162.9 47.1 NH Asian
2303 101096 female 56 156.0 81.0 Other Hispanic
2304 101097 female 39 155.3 76.4 Other Hispanic
2305 101099 female 23 159.8 90.9 NH White
2306 101103 female 53 157.9 79.2 NH Black
2307 101106 female 49 166.3 108.7 NH Black
2308 101107 female 44 158.0 68.8 Mexican
2309 101108 female 59 151.9 52.3 Other/Mixed
2310 101109 female 60 159.7 119.8 NH Black
2311 101112 female 45 158.4 48.7 NH Asian
2312 101113 female 19 160.3 65.1 NH White
2313 101115 female 36 168.1 107.7 NH Black
2314 101119 female 48 149.2 76.8 Mexican
2315 101120 female 80 149.5 51.6 NH White
2316 101123 female 59 168.4 49.6 NH White
2317 101125 female 33 155.7 60.3 NH White
2318 101130 female 19 161.8 54.6 Other Hispanic
2319 101134 female 30 161.4 83.9 NH White
2320 101138 female 33 171.4 118.0 NH White
2321 101139 female 33 163.6 70.2 NH White
2322 101147 female 58 156.5 57.7 NH Asian
2323 101148 female 80 151.6 43.6 NH Black
2324 101151 female 29 165.2 77.4 NH Black
2325 101155 female 52 158.8 75.5 NH Black
2326 101160 female 49 151.4 65.7 Mexican
2327 101163 female 60 155.0 67.1 NH Black
2328 101164 female 26 158.8 51.4 NH Asian
2329 101166 female 28 164.7 49.8 NH White
2330 101168 female 18 163.0 47.1 NH White
2331 101169 female 58 157.6 69.4 NH Black
2332 101171 female 47 159.5 63.1 NH White
2333 101173 female 66 155.3 52.4 NH White
2334 101176 female 80 154.8 60.1 NH Black
2335 101179 female 62 151.1 53.3 Mexican
2336 101180 female 80 168.7 76.7 NH White
2337 101181 female 50 156.7 61.9 Other Hispanic
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2339 101185 female 57 156.7 70.1 NH Asian
2340 101191 female 35 158.5 76.9 NH White
2341 101194 female 48 168.3 91.8 NH White
2342 101195 female 71 169.1 74.0 NH White
2343 101196 female 71 157.0 69.3 NH Black
2344 101199 female 61 153.4 47.2 NH White
2345 101207 female 70 NA NA NH White
2346 101209 female 62 148.3 44.4 Mexican
2347 101211 female 61 154.7 77.3 NH Black
2348 101212 female 62 156.6 95.5 NH Asian
2349 101216 female 55 164.6 107.2 NH Black
2350 101220 female 35 155.7 72.8 NH Asian
2351 101228 female 30 159.4 65.6 NH White
2352 101229 female 38 151.6 74.5 Mexican
2353 101230 female 50 159.0 77.3 NH Black
2354 101239 female 80 156.4 52.3 NH White
2355 101242 female 57 153.8 65.1 NH White
2356 101249 female 63 158.4 76.0 Other Hispanic
2357 101250 female 38 171.1 92.5 NH White
2358 101251 female 18 164.2 53.1 NH Asian
2359 101252 female 33 157.0 98.5 Other/Mixed
2360 101254 female 29 163.5 51.7 NH Black
2361 101255 female 62 157.9 76.4 NH Black
2362 101256 female 34 161.9 138.6 NH Black
2363 101260 female 80 154.4 59.4 NH White
2364 101265 female 47 161.7 68.2 NH Black
2365 101266 female 67 152.9 81.5 NH Black
2366 101274 female 65 170.1 74.8 NH Black
2367 101281 female 34 150.3 59.0 Mexican
2368 101283 female 56 158.8 106.2 NH Black
2369 101284 female 65 165.1 84.0 NH Black
2370 101286 female 52 161.4 99.7 NH Black
2371 101288 female 62 162.6 66.3 NH Black
2372 101289 female 26 155.5 84.5 Mexican
2373 101291 female 61 157.4 66.6 Other/Mixed
2374 101294 female 39 161.6 95.3 NH Black
2375 101298 female 60 159.6 82.7 Other/Mixed
2376 101300 female 35 163.9 72.3 Other Hispanic
2377 101307 female 47 170.3 124.0 NH Black
2378 101308 female 25 171.4 76.9 NH White
2379 101312 female 80 165.7 68.1 NH White
2380 101313 female 42 175.3 89.5 NH Black
2381 101318 female 18 161.2 53.1 NH White
2382 101323 female 74 162.2 104.7 NH Black
2383 101327 female 52 174.1 79.1 NH White
2384 101328 female 67 166.0 69.5 Other/Mixed
2385 101330 female 22 164.5 58.7 NH White
2386 101333 female 71 157.0 62.3 NH Asian
2387 101336 female 72 160.6 67.4 NH White
2388 101342 female 41 167.7 159.9 NH White
2389 101345 female 29 169.0 111.1 NH Black
2390 101348 female 80 145.9 77.1 NH White
2391 101349 female 69 161.4 125.6 NH Black
2392 101351 female 79 157.1 66.3 NH Asian
2393 101356 female 54 165.6 53.4 NH White
2394 101357 female 72 160.2 79.4 NH Black
2395 101359 female 52 155.5 75.7 Mexican
2396 101362 female 74 165.6 84.1 NH White
2397 101363 female 69 NA NA Other Hispanic
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2399 101369 female 53 165.5 79.7 NH Black
2400 101370 female 31 165.0 59.9 Other Hispanic
2401 101372 female 29 156.3 58.1 NH Asian
2402 101378 female 34 160.1 64.8 NH Asian
2403 101382 female 64 163.8 85.7 NH White
2404 101385 female 28 164.0 123.2 NH Black
2405 101386 female 49 161.8 67.0 Other Hispanic
2406 101387 female 73 150.9 63.2 NH Asian
2407 101391 female 74 152.4 64.4 NH White
2408 101393 female 80 151.6 57.2 NH Asian
2409 101396 female 80 161.8 78.6 NH White
2410 101402 female 75 143.9 55.9 NH Asian
2411 101405 female 56 158.1 84.7 NH Black
2412 101407 female 65 155.0 64.0 NH White
2413 101411 female 59 164.9 109.0 NH Black
2414 101412 female 39 155.5 47.6 NH Asian
2415 101414 female 56 162.1 62.7 NH Black
2416 101415 female 38 160.2 53.2 NH White
2417 101423 female 61 139.0 38.5 NH Black
2418 101426 female 41 168.0 124.9 NH Black
2419 101427 female 24 169.0 73.0 NH White
2420 101430 female 42 162.0 56.4 NH Asian
2421 101431 female 38 161.6 85.9 NH White
2422 101432 female 74 154.5 85.3 NH White
2423 101434 female 70 154.9 56.2 NH Asian
2424 101437 female 19 NA NA Mexican
2425 101438 female 48 162.2 71.9 Other Hispanic
2426 101442 female 67 160.7 104.8 NH White
2427 101446 female 30 173.6 57.5 Other/Mixed
2428 101449 female 59 175.7 120.1 NH Black
2429 101454 female 55 162.3 72.7 Mexican
2430 101455 female 66 146.3 89.8 Other Hispanic
2431 101458 female 67 154.5 50.8 Other Hispanic
2432 101461 female 59 144.2 82.7 Mexican
2433 101462 female 23 160.8 156.0 NH White
2434 101463 female 62 149.9 48.0 NH White
2435 101464 female 50 156.0 50.2 NH White
2436 101470 female 57 177.2 100.8 NH White
2437 101472 female 51 150.7 65.6 NH Asian
2438 101475 female 50 165.3 102.9 Mexican
2439 101479 female 73 158.5 73.3 NH White
2440 101481 female 29 149.7 60.4 NH White
2441 101486 female 60 155.7 71.0 NH Asian
2442 101488 female 64 160.3 84.7 Other Hispanic
2443 101489 female 51 146.5 46.6 NH Asian
2444 101490 female 78 155.3 69.2 NH White
2445 101493 female 34 157.3 66.8 Mexican
2446 101500 female 67 170.5 92.5 NH White
2447 101501 female 30 156.6 66.1 NH Asian
2448 101504 female 18 152.7 47.8 NH Black
2449 101505 female 62 160.6 66.6 Other/Mixed
2450 101508 female 61 140.5 52.1 Other Hispanic
2451 101516 female 30 166.8 65.4 NH White
2452 101517 female 34 162.3 69.1 Other Hispanic
2453 101518 female 80 153.0 59.6 NH White
2454 101544 female 44 162.5 71.2 NH White
2455 101547 female 42 160.2 125.5 NH White
2456 101548 female 75 163.2 82.2 NH White
2457 101549 female 43 159.1 64.4 NH Asian
2458 101551 female 35 155.5 81.8 NH White
2459 101562 female 63 151.1 74.5 Mexican
2460 101570 female 30 166.6 63.4 NH Black
2461 101574 female 22 159.5 45.7 NH Black
2462 101575 female 60 158.6 69.2 NH Asian
2463 101577 female 52 154.6 59.6 NH Asian
2464 101578 female 55 166.8 58.8 NH Asian
2465 101584 female 55 156.9 71.1 NH Asian
2466 101587 female 76 160.2 107.6 NH Black
2467 101588 female 23 158.7 49.9 Other Hispanic
2468 101593 female 49 147.5 74.0 NH Asian
2469 101594 female 43 163.0 74.5 NH White
2470 101596 female 44 150.3 53.7 NH Black
2471 101597 female 77 143.1 49.2 NH White
2472 101620 female 29 160.8 53.4 NH Asian
2473 101626 female 55 163.1 58.7 NH White
2474 101627 female 76 152.8 73.9 NH Black
2475 101631 female 73 142.6 52.2 NH White
2476 101635 female 63 157.5 76.0 NH White
2477 101636 female 68 151.4 66.0 Mexican
2478 101640 female 55 171.8 94.7 Other/Mixed
2479 101642 female 53 164.2 154.4 NH Black
2480 101647 female 58 161.3 61.4 Mexican
2481 101649 female 40 167.6 74.5 NH White
2482 101653 female 70 NA NA NH Black
2483 101656 female 60 155.7 91.9 Other Hispanic
2484 101659 female 36 166.0 58.6 Other Hispanic
2485 101661 female 61 152.6 69.6 Other Hispanic
2486 101664 female 47 166.3 76.4 NH White
2487 101667 female 64 158.9 85.6 Other Hispanic
2488 101669 female 28 153.5 99.8 NH White
2489 101670 female 36 157.7 71.1 NH Asian
2490 101671 female 55 164.3 85.1 NH Black
2491 101675 female 55 151.7 70.4 Other Hispanic
2492 101679 female 62 157.1 73.9 Other Hispanic
2493 101681 female 31 149.5 67.6 NH Black
2494 101682 female 45 155.0 109.0 NH White
2495 101687 female 75 158.1 63.6 NH Black
2496 101688 female 20 161.1 52.7 NH White
2497 101692 female 60 174.9 81.1 NH White
2498 101693 female 28 157.5 85.5 NH White
2499 101695 female 45 171.5 124.8 Other/Mixed
2500 101697 female 60 154.9 66.2 NH White
2501 101698 female 57 157.2 52.9 Mexican
2502 101700 female 80 160.4 79.3 NH White
2503 101701 female 26 156.5 69.5 Other Hispanic
2504 101702 female 80 151.0 76.4 NH White
2505 101705 female 60 168.0 67.0 NH White
2506 101707 female 79 155.5 83.3 NH White
2507 101709 female 23 169.3 83.5 Other Hispanic
2508 101710 female 80 156.1 62.6 NH White
2509 101716 female 33 155.4 90.5 Mexican
2510 101718 female 39 154.5 85.2 NH White
2511 101723 female 69 153.7 66.4 NH White
2512 101725 female 59 152.3 47.7 NH Asian
2513 101733 female 25 158.1 56.6 Other/Mixed
2514 101740 female 59 168.3 70.8 NH Black
2515 101750 female 71 152.8 71.8 NH White
2516 101755 female 66 160.4 74.1 Other/Mixed
2517 101756 female 61 161.1 124.7 NH Black
2518 101760 female 33 151.4 78.1 NH Asian
2519 101762 female 80 141.7 67.6 NH White
2520 101763 female 54 158.1 70.1 NH White
2521 101765 female 32 150.6 70.2 NH Black
2522 101766 female 55 145.8 60.2 NH Asian
2523 101778 female 64 159.7 47.5 NH Asian
2524 101779 female 55 155.7 71.4 NH White
2525 101780 female 65 168.7 67.0 NH White
2526 101782 female 54 153.3 83.9 NH Black
2527 101785 female 77 163.5 103.1 NH White
2528 101790 female 22 159.4 80.4 NH Black
2529 101795 female 40 153.8 63.2 Mexican
2530 101799 female 28 168.7 47.0 NH White
2531 101802 female 57 171.0 59.6 Other/Mixed
2532 101807 female 79 139.7 44.6 NH Asian
2533 101814 female 26 166.4 180.9 NH White
2534 101821 female 53 162.6 53.9 Other Hispanic
2535 101824 female 64 152.7 88.3 NH Black
2536 101828 female 32 159.6 73.8 NH Asian
2537 101830 female 45 164.9 99.3 NH Black
2538 101832 female 59 167.6 84.6 NH White
2539 101834 female 66 161.9 94.3 NH Black
2540 101837 female 72 152.4 56.9 Mexican
2541 101838 female 30 157.2 67.2 NH White
2542 101839 female 74 157.0 73.7 Other/Mixed
2543 101842 female 30 160.8 74.9 NH Asian
2544 101843 female 77 150.6 66.4 NH White
2545 101844 female 21 154.2 88.5 NH Asian
2546 101845 female 38 165.3 91.4 Other/Mixed
2547 101847 female 63 160.0 85.9 NH Black
2548 101848 female 56 160.5 48.9 Mexican
2549 101859 female 64 166.4 83.6 Other/Mixed
2550 101860 female 77 154.4 69.0 NH Asian
2551 101861 female 49 160.8 68.2 NH White
2552 101864 female 72 151.5 59.3 NH Asian
2553 101865 female 53 180.0 82.7 NH Black
2554 101867 female 22 149.2 71.9 Other Hispanic
2555 101870 female 66 162.4 66.8 NH White
2556 101871 female 36 163.6 81.1 NH White
2557 101874 female 63 153.3 49.1 NH Asian
2558 101875 female 49 151.5 65.7 NH Asian
2559 101876 female 38 157.2 89.1 NH Black
2560 101878 female 50 NA NA Other Hispanic
2561 101879 female 56 168.0 68.7 Mexican
2562 101882 female 52 162.0 71.6 NH Black
2563 101885 female 43 172.5 63.2 NH White
2564 101894 female 46 168.3 60.6 Other/Mixed
2565 101895 female 78 145.9 64.1 Other Hispanic
2566 101896 female 28 161.2 94.9 NH White
2567 101901 female 25 163.1 50.3 NH Black
2568 101903 female 33 155.9 77.1 Mexican
2569 101904 female 33 160.5 74.7 NH Black
2570 101910 female 80 155.3 74.2 NH White
2571 101911 female 22 174.6 158.7 NH Black
2572 101912 female 31 153.9 48.9 NH Asian
2573 101915 female 69 161.5 101.5 NH White
2574 101928 female 42 164.1 105.1 NH Black
2575 101934 female 64 167.9 95.0 Other/Mixed
2576 101936 female 80 154.2 106.3 NH Black
2577 101941 female 44 161.8 113.4 NH Black
2578 101951 female 19 167.3 96.2 NH Black
2579 101957 female 35 149.2 58.1 NH Asian
2580 101959 female 70 158.6 75.0 NH White
2581 101965 female 44 150.0 64.1 NH Asian
2582 101973 female 37 165.1 102.5 NH Black
2583 101978 female 44 164.8 95.4 NH Black
2584 101980 female 35 162.6 44.4 NH White
2585 101981 female 67 148.4 49.1 NH Asian
2586 101986 female 19 157.5 88.5 NH White
2587 101990 female 23 161.5 118.8 NH White
2588 101993 female 67 170.7 67.8 NH White
2589 102000 female 63 166.8 72.5 NH Black
2590 102005 female 36 168.9 127.6 NH White
2591 102007 female 55 144.9 47.4 NH Asian
2592 102008 female 47 159.8 51.5 NH White
2593 102012 female 48 151.6 125.6 NH Black
2594 102015 female 20 160.8 67.9 NH White
2595 102018 female 69 160.0 86.0 NH Black
2596 102019 female 19 153.1 54.2 NH White
2597 102021 female 65 152.2 66.2 NH Asian
2598 102026 female 24 176.4 59.5 NH White
2599 102030 female 50 158.2 87.0 Mexican
2600 102031 female 61 159.4 80.7 NH White
2601 102032 female 67 177.5 167.9 NH Black
2602 102035 female 32 170.0 77.0 NH White
2603 102037 female 21 157.8 53.8 Mexican
2604 102044 female 33 153.5 62.4 NH Black
2605 102046 female 32 159.3 58.7 NH Asian
2606 102047 female 62 164.1 71.5 Other Hispanic
2607 102048 female 78 150.7 65.2 Other Hispanic
2608 102052 female 80 149.1 88.0 Mexican
2609 102054 female 68 163.0 63.9 NH White
2610 102055 female 69 158.8 104.4 NH White
2611 102058 female 68 155.2 82.6 NH White
2612 102060 female 80 154.1 60.3 NH White
2613 102062 female 18 NA NA NH White
2614 102064 female 35 156.3 65.8 Mexican
2615 102068 female 65 149.0 78.6 NH Asian
2616 102070 female 80 156.7 59.3 NH White
2617 102072 female 50 154.4 83.6 Mexican
2618 102074 female 35 160.3 86.7 NH Black
2619 102079 female 60 147.3 72.9 NH Black
2620 102081 female 49 155.7 97.3 NH White
2621 102086 female 18 158.2 94.7 NH Black
2622 102088 female 29 165.9 87.3 NH White
2623 102093 female 21 155.0 69.6 Other Hispanic
2624 102099 female 32 163.2 128.9 NH White
2625 102100 female 75 159.9 75.1 NH Black
2626 102105 female 24 165.8 111.6 NH Black
2627 102112 female 33 161.5 42.3 NH Black
2628 102113 female 26 160.3 75.5 Mexican
2629 102116 female 75 163.5 61.9 NH Black
2630 102121 female 53 158.4 71.1 Mexican
2631 102126 female 23 182.4 78.2 Other Hispanic
2632 102132 female 39 157.0 101.1 Mexican
2633 102133 female 19 161.9 62.1 NH White
2634 102134 female 42 164.2 79.1 NH White
2635 102147 female 55 161.7 58.4 Other/Mixed
2636 102148 female 80 158.3 73.7 NH Black
2637 102149 female 27 158.0 81.7 NH Black
2638 102151 female 44 161.4 58.2 NH Asian
2639 102153 female 77 157.8 77.0 Mexican
2640 102158 female 80 NA NA NH Black
2641 102160 female 31 156.0 51.7 NH Asian
2642 102162 female 80 150.6 62.6 NH White
2643 102167 female 80 157.8 56.4 NH White
2644 102168 female 59 164.9 78.6 NH Black
2645 102169 female 66 165.3 75.6 NH White
2646 102171 female 77 154.4 49.4 NH Asian
2647 102173 female 64 172.3 76.7 NH White
2648 102178 female 61 159.7 86.9 NH Black
2649 102181 female 43 162.3 84.5 NH Black
2650 102184 female 25 151.5 87.5 NH Asian
2651 102194 female 36 155.3 98.6 Mexican
2652 102196 female 38 158.4 65.2 NH White
2653 102198 female 63 155.4 95.5 Mexican
2654 102201 female 47 172.4 61.5 NH Black
2655 102202 female 23 164.2 57.6 Other/Mixed
2656 102204 female 49 170.9 78.9 NH White
2657 102212 female 31 159.0 62.4 NH White
2658 102214 female 77 157.7 83.4 Other Hispanic
2659 102218 female 48 165.7 61.6 NH Black
2660 102223 female 36 158.0 57.7 NH White
2661 102238 female 49 162.0 148.4 NH White
2662 102241 female 80 159.7 71.6 NH Black
2663 102245 female 64 154.7 45.4 Other/Mixed
2664 102254 female 38 155.7 67.7 Mexican
2665 102255 female 24 165.2 73.3 NH White
2666 102258 female 51 152.2 45.2 Other Hispanic
2667 102259 female 56 154.1 66.7 NH Black
2668 102260 female 65 163.4 70.5 NH White
2669 102264 female 18 159.4 48.1 NH White
2670 102266 female 70 161.7 52.4 NH Black
2671 102267 female 77 152.9 120.6 NH Black
2672 102269 female 54 149.9 83.5 NH Black
2673 102272 female 26 169.6 74.4 NH White
2674 102276 female 79 163.4 78.6 NH Black
2675 102278 female 36 168.7 111.3 Mexican
2676 102281 female 54 151.9 64.1 NH Asian
2677 102283 female 22 158.5 78.6 NH White
2678 102289 female 18 161.2 119.4 NH Black
2679 102296 female 62 163.5 74.7 NH Black
2680 102298 female 19 158.3 52.1 NH Black
2681 102302 female 40 NA NA Other Hispanic
2682 102307 female 79 161.5 87.3 NH White
2683 102309 female 55 157.3 95.6 NH White
2684 102315 female 39 153.8 50.0 NH Asian
2685 102320 female 63 146.0 61.6 NH Black
2686 102323 female 19 155.5 48.2 Other Hispanic
2687 102324 female 28 177.2 90.6 Mexican
2688 102326 female 72 151.1 62.8 Other Hispanic
2689 102328 female 80 160.9 47.1 NH White
2690 102333 female 50 165.5 125.8 NH Black
2691 102341 female 39 167.3 92.8 NH White
2692 102344 female 34 150.6 42.3 NH Asian
2693 102345 female 39 165.2 113.1 NH Black
2694 102346 female 37 169.5 145.6 NH White
2695 102348 female 27 158.8 109.4 Mexican
2696 102349 female 67 148.5 58.3 NH Asian
2697 102358 female 31 159.6 57.1 NH Asian
2698 102359 female 39 151.8 55.1 NH Asian
2699 102360 female 28 160.4 100.8 NH Black
2700 102364 female 33 170.6 85.3 NH White
2701 102366 female 18 159.8 79.5 Mexican
2702 102367 female 66 NA NA NH Black
2703 102369 female 42 149.6 62.3 Mexican
2704 102370 female 80 163.0 67.1 NH White
2705 102377 female 59 147.9 59.7 Mexican
2706 102378 female 40 155.4 69.9 Mexican
2707 102379 female 71 141.5 79.2 Other Hispanic
2708 102380 female 26 164.1 78.7 NH Black
2709 102383 female 26 150.4 55.7 Mexican
2710 102386 female 27 153.8 74.8 NH Asian
2711 102389 female 71 163.7 85.8 NH Black
2712 102392 female 80 152.8 72.4 NH White
2713 102393 female 20 171.0 52.6 NH White
2714 102397 female 73 162.7 70.9 NH White
2715 102401 female 44 153.2 46.4 Other Hispanic
2716 102407 female 75 160.2 124.9 NH White
2717 102415 female 54 153.4 90.5 Other Hispanic
2718 102416 female 19 170.0 82.0 Mexican
2719 102420 female 70 157.2 63.1 Mexican
2720 102421 female 57 158.0 57.6 Other Hispanic
2721 102423 female 62 163.9 89.3 NH Black
2722 102429 female 38 163.1 96.0 Mexican
2723 102434 female 44 165.3 111.1 NH Black
2724 102436 female 56 161.1 60.2 NH White
2725 102442 female 62 154.2 68.6 NH White
2726 102443 female 56 153.3 46.5 NH White
2727 102445 female 80 153.5 56.2 Mexican
2728 102447 female 79 163.8 51.0 NH Black
2729 102452 female 60 152.0 79.8 Mexican
2730 102454 female 34 167.4 65.9 Mexican
2731 102456 female 29 156.6 104.8 Other/Mixed
2732 102460 female 25 168.9 60.7 NH White
2733 102461 female 28 148.8 54.3 NH Asian
2734 102467 female 58 162.4 92.0 NH Black
2735 102471 female 62 149.3 58.7 Other Hispanic
2736 102473 female 41 154.0 62.5 Other Hispanic
2737 102474 female 52 156.7 103.7 Other/Mixed
2738 102483 female 60 164.9 99.6 NH White
2739 102486 female 21 156.5 83.7 NH Asian
2740 102487 female 19 164.2 42.3 NH Asian
2741 102490 female 71 149.5 57.4 NH Asian
2742 102504 female 80 156.2 49.0 NH White
2743 102506 female 51 158.3 69.4 Other Hispanic
2744 102508 female 68 167.2 82.6 NH Black
2745 102512 female 59 174.1 93.9 NH White
2746 102517 female 63 146.1 68.1 Other Hispanic
2747 102518 female 44 152.7 91.1 Mexican
2748 102532 female 34 162.7 84.5 NH Black
2749 102542 female 66 148.3 68.1 Other Hispanic
2750 102548 female 28 164.7 88.9 Other/Mixed
2751 102551 female 58 168.4 124.9 NH Black
2752 102562 female 38 157.5 67.3 Other Hispanic
2753 102579 female 63 161.1 111.7 NH White
2754 102580 female 25 153.5 67.3 Mexican
2755 102585 female 80 157.4 72.9 Mexican
2756 102588 female 68 173.2 89.8 NH White
2757 102589 female 24 154.5 92.6 NH Black
2758 102591 female 59 153.8 74.3 NH White
2759 102595 female 18 168.7 75.3 NH White
2760 102597 female 70 161.1 100.3 NH White
2761 102598 female 75 158.2 52.6 NH Asian
2762 102605 female 57 167.3 97.0 NH Black
2763 102609 female 80 155.6 70.1 NH White
2764 102616 female 56 159.5 58.9 NH White
2765 102617 female 63 157.9 83.5 NH White
2766 102618 female 70 152.8 62.6 Mexican
2767 102619 female 61 156.6 83.5 NH White
2768 102621 female 32 162.4 61.0 NH Black
2769 102628 female 69 161.0 75.9 NH White
2770 102629 female 73 152.7 58.5 Other Hispanic
2771 102633 female 41 164.4 92.0 Other Hispanic
2772 102635 female 40 166.1 59.7 NH Asian
2773 102638 female 26 168.7 63.6 NH White
2774 102642 female 44 164.4 76.6 NH Asian
2775 102650 female 66 154.9 87.0 NH White
2776 102651 female 71 154.7 69.2 NH White
2777 102653 female 25 156.8 51.8 Other Hispanic
2778 102656 female 36 162.6 75.1 NH Asian
2779 102657 female 68 161.4 78.2 NH White
2780 102659 female 80 151.5 32.6 Mexican
2781 102660 female 19 156.4 89.7 Mexican
2782 102661 female 59 161.4 125.3 NH White
2783 102666 female 44 153.1 66.7 NH White
2784 102668 female 39 159.5 45.0 NH White
2785 102672 female 21 172.6 65.2 NH Black
2786 102673 female 47 158.5 45.8 NH Asian
2787 102682 female 33 158.4 72.6 NH Asian
2788 102686 female 51 150.8 65.7 NH White
2789 102687 female 64 167.6 74.0 NH Black
2790 102688 female 53 169.4 80.3 NH White
2791 102694 female 55 156.3 81.5 NH White
2792 102701 female 61 166.6 65.4 NH White
2793 102704 female 52 163.4 98.4 NH White
2794 102710 female 73 157.3 82.2 NH White
2795 102713 female 23 171.0 68.9 NH Black
2796 102721 female 53 157.1 69.2 Other Hispanic
2797 102722 female 62 154.9 68.8 Mexican
2798 102723 female 63 162.5 83.0 NH Asian
2799 102729 female 61 160.3 53.5 NH White
2800 102737 female 50 169.0 85.4 NH White
2801 102741 female 18 166.6 107.5 NH Asian
2802 102747 female 57 166.7 67.5 NH White
2803 102758 female 46 155.4 55.8 NH Asian
2804 102759 female 47 178.9 69.6 NH White
2805 102766 female 46 150.8 47.0 NH Asian
2806 102771 female 60 160.6 105.2 Mexican
2807 102773 female 63 169.8 54.3 NH White
2808 102777 female 60 156.0 79.6 NH White
2809 102778 female 67 161.3 219.6 NH Black
2810 102783 female 52 156.8 64.8 NH Asian
2811 102785 female 54 159.1 62.2 NH White
2812 102786 female 46 155.8 57.2 NH Asian
2813 102788 female 42 160.6 86.4 NH Black
2814 102793 female 30 155.1 105.7 NH White
2815 102798 female 57 164.8 88.6 Other Hispanic
2816 102799 female 62 151.1 54.3 NH Asian
2817 102801 female 58 154.2 83.4 NH Black
2818 102811 female 41 164.4 65.8 Mexican
2819 102816 female 42 152.3 75.3 Other Hispanic
2820 102819 female 48 164.6 70.9 NH White
2821 102820 female 57 167.0 74.6 Mexican
2822 102821 female 35 178.0 80.0 NH Black
2823 102823 female 55 160.3 64.2 Other Hispanic
2824 102826 female 58 149.1 72.7 Mexican
2825 102828 female 80 152.5 80.2 NH Black
2826 102831 female 51 145.1 57.9 NH Asian
2827 102835 female 67 156.8 89.6 NH Black
2828 102837 female 19 165.9 70.2 Other Hispanic
2829 102846 female 61 161.0 65.8 NH White
2830 102847 female 30 155.6 62.7 NH White
2831 102861 female 41 164.6 156.3 NH Black
2832 102863 female 61 145.9 81.1 Mexican
2833 102865 female 44 175.0 143.8 NH White
2834 102866 female 73 164.6 83.4 NH White
2835 102868 female 70 154.1 54.7 NH Asian
2836 102870 female 51 159.2 67.0 NH Asian
2837 102871 female 80 151.2 44.3 NH Asian
2838 102872 female 44 169.6 76.5 NH Black
2839 102880 female 51 152.4 59.8 NH Asian
2840 102885 female 37 167.8 84.7 NH Black
2841 102886 female 50 155.5 73.1 NH Asian
2842 102887 female 60 159.1 94.1 NH Black
2843 102892 female 42 164.8 118.2 Mexican
2844 102893 female 44 164.6 73.8 NH White
2845 102899 female 20 171.9 69.0 NH White
2846 102903 female 20 162.1 70.1 NH Black
2847 102904 female 75 153.7 65.1 NH White
2848 102907 female 47 162.0 73.2 NH Black
2849 102911 female 55 169.8 57.0 Other/Mixed
2850 102913 female 39 156.9 94.1 NH White
2851 102914 female 73 149.1 48.7 NH Asian
2852 102917 female 61 167.8 69.2 NH Black
2853 102920 female 62 159.6 73.0 Other Hispanic
2854 102923 female 43 173.9 106.1 NH White
2855 102924 female 75 172.0 129.2 NH White
2856 102933 female 24 167.9 50.8 NH Black
2857 102935 female 27 158.9 59.5 NH White
2858 102943 female 48 181.1 122.7 Mexican
2859 102948 female 31 162.0 52.9 NH White
2860 102952 female 70 156.5 49.0 NH Asian
2861 102954 female 41 162.6 69.1 NH Black
Die Filterkriterien sind Ausdrücke, die logische Vektoren erzeugen, d.h., Vektoren mit TRUE oder FALSE als Wert.
Zeilen sortieren: arrange
Bei arrange
gibt man eine Spalte an, nach der die Zeilen geordnet werden sollen:
%>%
fruit_tbl arrange( fruit )
# A tibble: 7 × 3
number fruit mass_in_gram
<int> <chr> <dbl>
1 1 apple 153
2 3 apple 177
3 4 cherry 8
4 5 cherry 9
5 2 pear 122
6 6 pear 129
7 7 pear 133
Spalten ändern / hinzufügen / berechnen: mutate
Mit mutate
kann man eine Rechnung durchführen und das Ergebnis einer neuen Spalte hinzufügen, oder eine exisierende Spalte mit dem Ergebnis überschreiben.
%>%
nhanes mutate( bmi = weight / (height/100)^2 )
subjectId gender age height weight ethnicity bmi
1 93703 female 2 88.6 13.7 NH Asian 17.45232
2 93704 male 2 94.2 13.9 NH White 15.66437
3 93705 female 66 158.3 79.5 NH Black 31.72527
4 93706 male 18 175.7 66.3 NH Asian 21.47682
5 93707 male 13 158.4 45.4 Other/Mixed 18.09445
6 93708 female 66 150.2 53.5 NH Asian 23.71450
7 93709 female 75 151.1 88.8 NH Black 38.89413
8 93710 female 0 NA 10.2 NH White NA
9 93711 male 56 170.6 62.1 NH Asian 21.33701
10 93712 male 18 172.8 58.9 Mexican 19.72549
11 93713 male 67 178.6 74.9 NH White 23.48113
12 93714 female 54 147.8 87.1 NH Black 39.87212
13 93715 male 71 170.6 65.6 Other/Mixed 22.53958
14 93716 male 61 159.2 77.7 NH Asian 30.65737
15 93717 male 22 174.1 74.4 NH White 24.54570
16 93718 male 45 157.3 54.4 NH Black 21.98576
17 93719 female 13 160.5 67.0 NH White 26.00906
18 93720 female 1 NA 10.6 NH Black NA
19 93721 female 60 154.0 85.1 Mexican 35.88295
20 93722 female 60 154.6 56.8 NH White 23.76454
21 93723 male 64 170.1 64.9 NH White 22.43035
22 93724 female 5 111.4 18.2 NH Black 14.66564
23 93725 female 9 145.8 34.3 NH White 16.13538
24 93726 female 67 154.5 74.3 Mexican 31.12661
25 93727 male 70 161.9 62.7 NH Asian 23.92070
26 93728 male 53 188.1 118.1 NH Black 33.37892
27 93729 male 42 173.2 82.8 NH Black 27.60162
28 93730 male 57 167.6 80.2 Other Hispanic 28.55133
29 93731 male 20 179.9 89.2 Mexican 27.56148
30 93732 male 72 162.4 56.1 NH White 21.27114
31 93733 female 11 142.6 40.8 NH White 20.06417
32 93735 male 52 147.7 76.5 Other Hispanic 35.06715
33 93736 male 11 143.4 36.9 Mexican 17.94436
34 93737 male 8 137.6 35.0 NH Black 18.48550
35 93738 male 26 170.2 97.7 Other Hispanic 33.72682
36 93739 female 5 116.3 22.5 Mexican 16.63501
37 93740 male 72 183.4 102.9 NH Black 30.59262
38 93741 female 9 135.8 31.9 NH Asian 17.29781
39 93742 male 72 178.3 107.9 NH Black 33.94054
40 93743 male 61 187.8 79.3 NH White 22.48444
41 93744 female 10 154.7 50.8 NH White 21.22673
42 93745 male 5 107.1 16.8 NH Asian 14.64638
43 93746 female 25 158.4 62.1 NH Black 24.75034
44 93747 female 13 157.7 55.0 Other Hispanic 22.11563
45 93748 male 0 NA 9.3 Mexican NA
46 93749 female 1 NA 8.3 NH White NA
47 93751 female 7 133.9 45.1 Mexican 25.15448
48 93752 female 73 153.6 60.1 NH White 25.47370
49 93753 female 10 151.4 56.3 NH White 24.56160
50 93754 male 72 161.5 87.2 Other Hispanic 33.43270
51 93755 female 26 178.5 93.8 NH Black 29.43923
52 93756 female 64 160.7 75.4 NH Black 29.19709
53 93757 male 63 174.9 106.7 NH White 34.88067
54 93758 female 55 156.9 75.8 NH White 30.79097
55 93759 male 60 158.6 73.1 Other/Mixed 29.06103
56 93760 female 54 150.6 85.6 Mexican 37.74191
57 93761 male 44 166.4 80.2 NH Asian 28.96461
58 93762 female 74 149.8 60.8 Mexican 27.09443
59 93763 male 40 181.5 84.1 NH White 25.52953
60 93764 female 1 NA 9.2 NH White NA
61 93765 male 19 169.9 63.1 NH White 21.85962
62 93766 female 36 156.6 66.4 Other Hispanic 27.07600
63 93767 male 61 164.7 86.4 Other Hispanic 31.85125
64 93768 male 80 174.9 78.5 NH White 25.66197
65 93769 male 6 124.7 23.5 Other/Mixed 15.11245
66 93770 male 55 172.3 77.1 Other Hispanic 25.97071
67 93771 male 3 97.5 13.3 NH Asian 13.99080
68 93772 female 55 161.9 80.6 NH Black 30.74973
69 93773 male 69 176.0 74.6 NH White 24.08316
70 93774 female 41 165.5 70.9 NH White 25.88512
71 93775 female 47 150.4 58.5 NH Asian 25.86189
72 93776 female 32 157.8 55.4 NH Black 22.24825
73 93777 female 72 NA NA NH Black NA
74 93778 female 19 163.6 73.3 NH Black 27.38655
75 93779 female 10 138.9 31.7 Other/Mixed 16.43065
76 93780 female 46 161.7 87.5 Other/Mixed 33.46478
77 93781 male 32 154.9 61.0 Other Hispanic 25.42301
78 93782 female 25 164.7 65.1 NH Black 23.99904
79 93783 female 21 156.9 59.9 Other Hispanic 24.33218
80 93784 female 2 86.2 12.4 NH White 16.68811
81 93785 female 80 155.0 73.7 NH White 30.67638
82 93787 female 13 162.1 58.7 Other/Mixed 22.33943
83 93788 female 66 169.5 112.8 NH White 39.26175
84 93789 female 34 173.4 71.0 NH White 23.61349
85 93790 female 5 103.3 15.9 Other/Mixed 14.90035
86 93791 male 20 165.2 100.6 Other/Mixed 36.86192
87 93792 female 31 160.4 48.7 Other Hispanic 18.92868
88 93793 male 12 153.7 67.5 Mexican 28.57301
89 93794 female 62 157.1 59.1 NH Asian 23.94612
90 93795 male 64 168.6 44.5 NH Black 15.65470
91 93796 male 71 176.6 97.4 NH White 31.23040
92 93797 female 52 164.3 86.3 NH White 31.96949
93 93798 female 61 173.0 85.4 NH Black 28.53420
94 93799 male 41 177.0 71.3 NH Black 22.75847
95 93800 female 80 162.8 60.2 NH White 22.71369
96 93801 male 59 179.0 79.0 Other Hispanic 24.65591
97 93802 female 2 90.8 15.4 NH White 18.67880
98 93803 male 12 166.4 55.4 NH Black 20.00797
99 93804 male 1 NA 12.0 NH White NA
100 93805 female 64 162.9 89.9 NH White 33.87798
101 93806 male 44 176.1 88.2 NH Asian 28.44133
102 93807 female 13 157.8 103.6 Mexican 41.60502
103 93808 male 14 186.1 97.1 NH White 28.03667
104 93809 male 1 NA 11.5 Other/Mixed NA
105 93810 male 13 166.7 80.6 NH Black 29.00440
106 93811 male 24 164.2 79.6 NH Asian 29.52343
107 93812 male 67 174.8 94.9 NH White 31.05871
108 93813 female 42 155.3 104.3 Mexican 43.24555
109 93814 female 41 168.9 79.3 NH Black 27.79802
110 93815 female 32 161.5 72.9 Other/Mixed 27.95004
111 93816 female 80 NA NA Other Hispanic NA
112 93817 male 55 158.7 61.3 NH Asian 24.33922
113 93818 male 14 176.0 87.6 Mexican 28.27996
114 93819 female 63 143.7 57.7 NH Black 27.94231
115 93820 female 11 162.7 72.6 NH Black 27.42594
116 93821 female 16 161.4 55.0 NH Asian 21.11328
117 93822 female 6 113.0 24.8 Mexican 19.42204
118 93823 female 58 159.8 85.3 Other Hispanic 33.40377
119 93824 female 52 159.4 72.2 Other Hispanic 28.41584
120 93825 male 74 174.2 92.7 NH White 30.54805
121 93827 female 68 161.9 52.3 NH Asian 19.95299
122 93828 female 2 87.4 12.7 NH White 16.62574
123 93829 female 38 161.4 82.5 NH Black 31.66991
124 93830 male 67 186.1 111.4 NH Black 32.16566
125 93831 male 61 171.9 74.9 Other Hispanic 25.34720
126 93832 male 63 172.3 80.3 NH Asian 27.04861
127 93833 male 6 126.3 23.4 NH White 14.66929
128 93834 female 48 161.7 95.4 NH White 36.48617
129 93836 female 13 163.9 52.5 Mexican 19.54346
130 93837 female 35 166.8 108.7 NH White 39.06946
131 93838 male 5 126.4 40.1 Mexican 25.09864
132 93839 female 50 177.4 94.6 NH White 30.05965
133 93840 male 47 180.7 78.3 NH Asian 23.97979
134 93841 female 48 171.5 96.5 Other/Mixed 32.80946
135 93842 male 2 84.8 10.6 NH Black 14.74057
136 93843 female 42 163.8 56.3 Other Hispanic 20.98363
137 93844 male 6 125.0 38.7 NH White 24.76800
138 93845 female 28 165.3 67.9 NH White 24.84987
139 93846 female 29 165.9 54.6 NH Black 19.83809
140 93847 female 43 156.6 100.4 Mexican 40.94022
141 93848 male 62 171.1 85.0 NH Black 29.03480
142 93849 female 40 164.6 61.4 NH White 22.66255
143 93850 female 74 155.6 65.3 NH Black 26.97081
144 93851 female 74 149.1 69.3 NH White 31.17295
145 93852 female 45 171.0 79.6 Other/Mixed 27.22205
146 93853 male 50 165.4 71.1 Mexican 25.98954
147 93854 male 0 NA 8.6 NH White NA
148 93855 male 71 165.1 97.1 NH White 35.62256
149 93856 male 66 176.9 134.0 NH Black 42.82024
150 93857 female 3 100.0 16.4 NH White 16.40000
151 93858 female 19 147.3 36.2 Other/Mixed 16.68411
152 93859 male 73 165.9 61.9 NH Black 22.49044
153 93861 male 76 176.2 98.1 NH White 31.59783
154 93862 male 2 93.1 16.0 Mexican 18.45953
155 93863 male 50 172.9 94.4 NH Asian 31.57781
156 93864 female 12 154.3 57.4 Other Hispanic 24.10905
157 93865 male 0 NA 7.8 NH White NA
158 93866 male 26 171.4 64.6 NH White 21.98927
159 93867 female 2 86.4 13.2 Mexican 17.68261
160 93868 male 68 171.4 103.9 NH Black 35.36665
161 93869 male 80 176.7 71.6 NH White 22.93189
162 93870 female 20 158.1 47.4 NH White 18.96333
163 93871 female 55 158.8 54.0 Mexican 21.41375
164 93873 female 16 159.4 78.5 Mexican 30.89534
165 93874 female 8 127.2 21.4 Mexican 13.22634
166 93875 male 37 174.4 75.8 NH Black 24.92162
167 93876 male 10 150.9 56.6 Mexican 24.85638
168 93877 male 64 178.8 79.0 NH White 24.71110
169 93878 female 59 162.5 63.6 NH Black 24.08521
170 93879 female 7 129.2 27.6 NH White 16.53423
171 93880 female 5 118.7 22.7 NH White 16.11107
172 93881 female 8 131.6 34.6 Mexican 19.97857
173 93883 female 30 164.7 114.5 NH Black 42.21029
174 93884 male 19 172.9 63.7 NH White 21.30833
175 93885 male 8 137.1 29.4 NH Black 15.64128
176 93887 male 63 174.2 78.4 NH White 25.83567
177 93888 female 37 167.6 59.7 NH White 21.25330
178 93890 male 27 177.5 74.9 NH Asian 23.77306
179 93891 female 56 145.4 94.2 Mexican 44.55763
180 93892 female 80 167.0 100.2 NH White 35.92814
181 93893 male 55 178.0 89.4 NH Black 28.21613
182 93894 female 66 162.3 73.2 NH White 27.78907
183 93895 male 40 181.9 112.8 NH White 34.09131
184 93896 male 10 147.8 65.8 NH White 30.12153
185 93897 female 10 149.0 58.7 NH White 26.44025
186 93898 male 5 118.3 24.8 NH Black 17.72075
187 93899 male 67 174.5 91.5 NH White 30.04901
188 93900 male 48 163.1 82.3 Mexican 30.93798
189 93901 female 12 155.3 62.3 Mexican 25.83123
190 93902 female 24 158.2 68.8 Mexican 27.49005
191 93903 male 62 166.3 89.0 NH White 32.18144
192 93904 male 10 154.1 68.2 Other/Mixed 28.71965
193 93905 male 15 172.4 57.2 NH Asian 19.24516
194 93906 male 39 169.3 83.4 Mexican 29.09726
195 93907 female 41 173.7 80.6 NH Black 26.71378
196 93908 female 20 162.0 71.1 NH Asian 27.09191
197 93909 male 41 165.9 68.2 NH Asian 24.77945
198 93911 male 6 121.0 30.1 NH White 20.55871
199 93912 female 25 160.2 170.0 NH Black 66.24055
200 93913 female 40 160.3 63.7 NH Asian 24.78976
201 93914 male 41 176.6 107.9 NH Asian 34.59713
202 93915 male 34 176.7 75.8 NH White 24.27706
203 93916 male 28 168.5 70.2 NH Asian 24.72506
204 93917 male 14 174.6 53.8 NH White 17.64793
205 93918 male 36 192.9 114.6 NH White 30.79783
206 93919 female 8 133.8 24.0 NH White 13.40599
207 93920 female 61 154.2 49.6 NH Asian 20.85993
208 93921 female 7 123.3 22.9 NH White 15.06293
209 93922 male 11 147.9 49.3 Other Hispanic 22.53775
210 93923 male 52 188.5 107.7 NH White 30.31049
211 93924 female 70 151.8 58.9 NH White 25.56064
212 93925 female 13 155.3 41.7 NH Black 17.28993
213 93926 male 31 172.1 106.9 Other/Mixed 36.09242
214 93927 female 54 156.1 59.8 NH White 24.54118
215 93928 male 11 166.4 37.5 NH White 13.54330
216 93929 female 35 171.5 79.3 NH White 26.96156
217 93930 male 80 168.1 84.1 Other Hispanic 29.76189
218 93931 male 24 178.7 112.4 Other/Mixed 35.19794
219 93932 female 54 158.6 78.7 NH Asian 31.28732
220 93934 female 0 NA 5.2 NH White NA
221 93935 male 39 NA NA Mexican NA
222 93936 male 0 NA 9.7 NH White NA
223 93937 male 30 175.1 99.8 NH White 32.55054
224 93938 female 18 163.2 63.1 Other/Mixed 23.69131
225 93939 female 40 153.3 67.7 NH Black 28.80742
226 93940 male 50 166.2 68.5 NH White 24.79868
227 93941 male 42 167.6 79.5 Other/Mixed 28.30213
228 93942 female 52 169.4 97.5 NH White 33.97643
229 93944 female 2 89.7 12.9 Mexican 16.03263
230 93945 male 66 162.6 61.3 NH Black 23.18566
231 93946 male 22 169.2 62.0 Mexican 21.65663
232 93947 female 53 146.7 55.3 NH Asian 25.69596
233 93948 male 13 160.5 45.1 NH Black 17.50759
234 93949 female 49 150.7 55.9 NH Asian 24.61418
235 93950 male 30 159.5 88.8 Other Hispanic 34.90532
236 93951 female 0 NA 7.6 NH Black NA
237 93952 female 34 161.7 98.8 NH White 37.78652
238 93953 male 26 171.4 118.1 Other/Mixed 40.20020
239 93954 male 24 167.7 65.1 NH White 23.14807
240 93955 female 66 NA NA Mexican NA
241 93957 female 41 166.5 80.7 NH White 29.11019
242 93958 female 2 92.0 12.2 NH Black 14.41399
243 93959 female 61 171.0 74.5 NH Black 25.47792
244 93960 male 60 175.2 126.9 NH Black 41.34218
245 93962 male 0 NA 8.1 NH White NA
246 93963 male 80 173.8 99.3 NH White 32.87378
247 93964 male 52 172.0 85.5 NH Asian 28.90076
248 93965 female 30 159.5 57.5 Other Hispanic 22.60198
249 93966 male 0 NA 4.0 NH White NA
250 93967 male 1 NA 15.7 NH White NA
251 93968 male 57 171.8 77.1 NH Black 26.12210
252 93969 female 33 163.9 60.3 NH White 22.44706
253 93970 male 33 166.4 69.6 NH Asian 25.13637
254 93971 male 40 168.7 108.8 NH Black 38.22951
255 93972 male 35 186.3 102.8 NH White 29.61880
256 93973 female 14 151.5 58.4 Other Hispanic 25.44413
257 93974 male 59 181.8 96.8 NH White 29.28786
258 93975 female 54 161.4 70.9 NH White 27.21693
259 93976 female 0 NA 8.1 Other Hispanic NA
260 93977 female 66 162.1 78.7 NH Black 29.95082
261 93978 male 57 168.0 59.8 NH Asian 21.18764
262 93979 male 16 173.9 76.8 NH White 25.39581
263 93980 female 29 173.8 58.0 NH White 19.20120
264 93981 female 52 157.3 66.3 NH Asian 26.79514
265 93982 female 57 171.4 60.1 NH White 20.45751
266 93983 female 75 143.6 67.2 NH Asian 32.58820
267 93984 female 32 160.7 81.9 NH White 31.71408
268 93985 female 61 146.9 58.0 Other Hispanic 26.87722
269 93986 female 7 117.9 21.3 NH Black 15.32329
270 93987 male 35 170.0 113.4 Mexican 39.23875
271 93988 female 32 163.6 49.0 NH White 18.30752
272 93989 female 39 163.1 56.8 NH White 21.35209
273 93990 female 64 158.4 93.6 NH White 37.30487
274 93991 male 12 157.0 66.1 Other Hispanic 26.81650
275 93992 female 12 153.5 41.2 NH Asian 17.48560
276 93993 female 2 101.0 19.1 NH White 18.72365
277 93994 female 0 NA 5.0 NH Black NA
278 93995 female 12 161.5 52.7 NH White 20.20531
279 93996 male 3 102.7 20.1 Other Hispanic 19.05703
280 93997 female 11 159.7 44.8 NH White 17.56581
281 93998 female 24 159.1 51.5 NH White 20.34543
282 93999 female 23 166.7 69.2 NH Black 24.90204
283 94001 female 18 158.6 51.6 Mexican 20.51367
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1122 94890 male 57 171.5 74.1 NH White 25.19358
1123 94891 female 40 162.5 71.8 NH Black 27.19053
1124 94892 male 61 184.3 65.2 NH White 19.19539
1125 94893 female 48 165.0 88.3 Other/Mixed 32.43343
1126 94894 male 50 181.3 126.5 NH White 38.48530
1127 94895 female 23 173.5 48.5 Other Hispanic 16.11175
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1129 94897 female 4 101.9 22.1 NH Black 21.28354
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1144 94912 male 10 139.6 38.7 NH White 19.85821
1145 94913 female 0 NA 6.4 NH White NA
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1157 94925 female 8 142.9 33.3 NH Black 16.30721
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1165 94934 female 12 152.4 40.1 NH Asian 17.26531
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1179 94948 male 0 NA 8.9 NH Black NA
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1192 94962 female 57 157.2 49.2 NH Asian 19.90948
1193 94964 male 48 161.3 76.6 Mexican 29.44151
1194 94965 female 14 169.7 77.1 NH White 26.77261
1195 94966 male 44 184.8 93.8 Other/Mixed 27.46622
1196 94967 female 40 163.5 93.0 NH Black 34.78944
1197 94968 male 24 195.0 82.4 NH Black 21.66995
1198 94969 male 80 182.4 98.6 NH White 29.63652
1199 94970 male 55 168.4 82.1 Mexican 28.95069
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1206 94978 female 5 106.2 15.8 Other Hispanic 14.00903
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1209 94981 male 0 NA 5.5 NH White NA
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1226 95001 female 80 160.3 77.8 NH White 30.27698
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1234 95011 female 65 162.0 98.0 NH White 37.34187
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1238 95015 female 7 111.5 18.8 NH White 15.12196
1239 95016 male 73 175.5 105.0 NH White 34.09063
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1241 95019 male 40 178.3 77.2 NH White 24.28369
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1247 95025 male 57 183.7 126.1 NH White 37.36773
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1252 95030 male 63 173.9 75.9 Other/Mixed 25.09820
1253 95031 female 54 169.1 125.3 NH White 43.81914
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1255 95033 female 49 154.7 57.5 NH Asian 24.02632
1256 95034 female 61 158.3 59.4 NH White 23.70416
1257 95035 male 42 188.4 148.0 Other/Mixed 41.69653
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1261 95039 female 23 160.3 56.8 NH White 22.10453
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1267 95045 female 69 162.3 75.2 NH White 28.54834
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1278 95056 female 34 171.3 120.7 Other/Mixed 41.13320
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1295 95074 female 37 163.0 72.6 NH Black 27.32508
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1313 95094 female 37 143.3 58.4 Other Hispanic 28.43940
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1353 95135 male 78 NA NA NH White NA
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1528 95317 female 5 105.6 17.6 NH White 15.78283
1529 95318 female 60 165.5 98.2 NH White 35.85217
1530 95319 female 55 152.7 68.5 Mexican 29.37734
1531 95320 male 1 NA NA Mexican NA
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1535 95325 male 68 167.7 74.6 Other Hispanic 26.52606
1536 95326 male 72 178.0 91.7 NH White 28.94205
1537 95328 female 17 152.1 54.7 NH White 23.64443
1538 95329 male 47 166.9 68.3 NH Asian 24.51930
1539 95330 female 77 175.1 76.9 NH Black 25.08153
1540 95331 female 8 141.8 49.4 Other/Mixed 24.56826
1541 95332 female 75 147.2 62.1 NH Black 28.65999
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1545 95337 female 13 157.6 70.4 NH White 28.34394
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1547 95341 female 0 NA 3.8 NH White NA
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1550 95345 female 17 162.0 46.4 NH Black 17.68023
1551 95346 female 61 157.9 74.8 NH Black 30.00111
1552 95348 female 39 163.8 89.4 Other Hispanic 33.32036
1553 95349 male 14 NA NA NH Black NA
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1556 95352 female 50 162.8 59.2 NH White 22.33639
1557 95353 female 39 166.4 100.1 Mexican 36.15159
1558 95354 male 8 133.8 25.5 NH Asian 14.24387
1559 95355 male 14 165.6 57.5 Mexican 20.96753
1560 95356 male 61 160.2 63.4 NH Asian 24.70383
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1564 95360 male 69 166.3 70.6 NH White 25.52820
1565 95361 male 72 166.2 97.1 NH White 35.15258
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1567 95363 male 2 NA NA NH Black NA
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1571 95367 female 55 155.4 99.4 Mexican 41.16085
1572 95368 female 1 NA 9.8 NH Asian NA
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1574 95370 male 4 116.2 35.3 NH White 26.14342
1575 95371 male 7 126.5 35.5 NH White 22.18438
1576 95372 male 80 179.5 104.0 NH White 32.27784
1577 95373 male 13 171.7 88.1 NH White 29.88377
1578 95374 male 27 161.4 64.3 Mexican 24.68334
1579 95375 male 56 169.4 75.4 Other/Mixed 26.27511
1580 95376 male 7 131.9 29.0 NH Black 16.66896
1581 95377 male 63 178.2 107.3 NH White 33.78970
1582 95378 female 80 163.2 44.6 NH Black 16.74536
1583 95379 male 59 172.7 54.2 NH Black 18.17250
1584 95380 male 62 177.7 88.4 NH White 27.99480
1585 95381 female 17 170.7 60.3 Other/Mixed 20.69428
1586 95382 male 60 166.8 88.8 NH Black 31.91691
1587 95383 female 5 102.2 15.8 Mexican 15.12709
1588 95384 female 0 NA 6.5 NH White NA
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1590 95387 male 15 179.3 138.7 NH Black 43.14355
1591 95388 male 17 160.4 106.2 NH Black 41.27773
1592 95389 male 20 174.3 76.8 NH White 25.27938
1593 95391 female 44 145.5 55.8 Mexican 26.35774
1594 95392 male 21 170.5 100.1 NH White 34.43383
1595 95393 female 28 154.6 81.8 NH Asian 34.22428
1596 95394 male 47 170.8 84.5 Mexican 28.96550
1597 95395 female 13 150.6 37.9 NH White 16.71049
1598 95396 female 13 163.2 48.5 NH Black 18.20964
1599 95397 male 68 176.2 88.1 NH White 28.37684
1600 95398 male 3 96.7 14.9 Other/Mixed 15.93431
1601 95399 female 13 163.2 44.6 NH White 16.74536
1602 95400 female 5 113.0 27.0 NH White 21.14496
1603 95401 female 80 147.4 41.8 NH White 19.23895
1604 95402 male 28 194.0 117.1 NH Black 31.11383
1605 95403 female 49 158.8 60.3 NH White 23.91202
1606 95405 male 53 151.7 58.3 NH Asian 25.33363
1607 95406 male 80 167.7 78.2 NH White 27.80614
1608 95407 female 1 NA 11.3 NH Black NA
1609 95408 female 9 133.0 38.5 NH White 21.76494
1610 95409 female 6 122.7 24.4 NH White 16.20693
1611 95410 male 76 169.0 70.9 NH Black 24.82406
1612 95411 male 71 175.8 166.0 NH Black 53.71188
1613 95412 male 60 179.4 108.0 NH Black 33.55667
1614 95413 female 51 174.1 86.7 NH White 28.60366
1615 95414 male 27 175.9 91.0 Mexican 29.41099
1616 95415 female 36 153.9 53.1 NH White 22.41905
1617 95416 female 36 162.3 51.1 NH Asian 19.39920
1618 95417 male 63 166.2 94.8 Mexican 34.31992
1619 95418 male 59 180.9 85.9 NH Black 26.24920
1620 95419 male 68 168.4 71.5 NH Asian 25.21285
1621 95420 female 18 150.8 57.7 Mexican 25.37308
1622 95421 male 78 165.0 88.7 NH White 32.58035
1623 95422 female 39 170.8 95.2 NH White 32.63332
1624 95423 female 33 165.5 72.1 NH Asian 26.32324
1625 95424 male 40 187.9 119.5 NH White 33.84655
1626 95425 male 22 174.2 67.7 Mexican 22.30963
1627 95426 male 0 NA 3.8 Mexican NA
1628 95427 male 62 173.6 77.3 NH Black 25.64957
1629 95428 male 0 NA 6.0 NH White NA
1630 95429 female 60 155.3 71.7 Mexican 29.72872
1631 95430 male 2 97.9 15.2 NH Black 15.85909
1632 95431 female 66 161.2 160.1 NH White 61.61143
1633 95432 female 18 163.5 103.3 NH White 38.64246
1634 95433 female 11 158.8 44.6 NH Black 17.68617
1635 95434 female 78 146.9 59.8 Other Hispanic 27.71134
1636 95435 female 15 161.7 78.1 NH Asian 29.86971
1637 95436 female 43 156.5 58.8 Mexican 24.00759
1638 95437 male 23 168.6 79.6 NH Asian 28.00257
1639 95441 male 0 NA 6.3 NH White NA
1640 95442 female 33 173.8 76.2 NH White 25.22641
1641 95443 female 0 NA 6.8 NH White NA
1642 95444 female 37 154.1 59.4 NH White 25.01389
1643 95445 female 24 162.1 65.1 Other Hispanic 24.77507
1644 95446 male 42 168.5 73.5 Mexican 25.88735
1645 95447 female 70 160.1 91.7 Mexican 35.77558
1646 95448 male 80 165.4 87.5 NH White 31.98431
1647 95449 male 55 166.9 86.4 Other Hispanic 31.01709
1648 95450 male 38 176.4 65.8 NH Black 21.14602
1649 95451 female 3 101.1 18.4 Mexican 18.00178
1650 95452 male 38 170.8 116.3 NH White 39.86612
1651 95453 male 39 167.2 79.1 Mexican 28.29462
1652 95454 male 60 172.6 86.9 Mexican 29.17012
1653 95455 male 47 162.7 88.8 Other Hispanic 33.54578
1654 95456 male 6 128.2 26.1 Mexican 15.88051
1655 95457 female 16 158.4 112.3 NH Black 44.75787
1656 95458 male 10 144.9 38.9 Mexican 18.52733
1657 95459 male 63 174.3 70.6 Mexican 23.23860
1658 95460 female 11 161.3 72.5 Mexican 27.86566
1659 95461 female 8 117.4 18.6 NH Black 13.49512
1660 95462 female 4 101.8 14.6 Other/Mixed 14.08826
1661 95463 male 19 167.9 98.7 Mexican 35.01191
1662 95464 female 3 103.5 17.4 NH White 16.24309
1663 95465 female 56 150.0 72.6 Mexican 32.26667
1664 95466 male 52 182.0 101.3 NH White 30.58206
1665 95467 female 80 151.6 59.5 NH White 25.88920
1666 95468 male 63 181.9 83.6 NH White 25.26626
1667 95469 male 28 177.0 58.6 NH White 18.70471
1668 95470 male 3 99.5 23.3 Mexican 23.53476
1669 95471 male 80 165.5 63.0 NH White 23.00089
1670 95472 male 34 172.6 83.4 NH White 27.99526
1671 95473 male 36 184.1 74.2 NH White 21.89255
1672 95474 female 34 159.7 103.2 NH Black 40.46410
1673 95475 female 8 138.1 27.1 NH Black 14.20960
1674 95476 male 8 133.5 27.5 NH Black 15.43015
1675 95477 female 13 162.6 46.1 NH Asian 17.43652
1676 95478 male 11 153.0 47.1 Other Hispanic 20.12047
1677 95479 female 57 163.5 60.2 NH White 22.51962
1678 95480 male 71 170.9 79.8 NH White 27.32240
1679 95481 male 19 172.4 66.8 NH White 22.47512
1680 95482 female 14 154.2 49.1 NH Asian 20.64965
1681 95483 female 0 NA 9.4 NH White NA
1682 95484 male 80 171.3 77.3 NH Black 26.34297
1683 95485 male 18 175.6 67.9 NH White 22.02017
1684 95486 female 36 167.9 84.0 NH Black 29.79737
1685 95487 male 17 177.9 62.2 NH Black 19.65344
1686 95488 female 21 163.0 101.1 NH White 38.05186
1687 95489 female 9 133.5 32.0 NH White 17.95508
1688 95490 male 13 173.0 82.6 Other/Mixed 27.59865
1689 95491 male 2 88.5 11.8 Other Hispanic 15.06591
1690 95492 female 80 156.4 98.8 NH White 40.39089
1691 95493 male 25 164.6 87.1 NH White 32.14834
1692 95494 female 22 163.5 64.0 Other Hispanic 23.94112
1693 95495 male 75 166.6 81.3 NH White 29.29143
1694 95496 female 10 149.3 37.2 NH Black 16.68873
1695 95497 male 6 120.1 21.9 NH White 15.18302
1696 95499 male 52 181.9 100.7 NH Black 30.43435
1697 95500 female 61 165.1 114.6 NH White 42.04269
1698 95501 female 25 159.8 98.3 NH White 38.49461
1699 95502 male 1 NA 11.8 NH White NA
1700 95503 male 52 174.6 128.3 Mexican 42.08605
1701 95504 female 61 155.9 135.0 NH White 55.54456
1702 95505 male 29 171.0 69.4 NH White 23.73380
1703 95506 male 48 165.7 76.7 NH Asian 27.93511
1704 95507 male 2 97.2 14.8 NH Black 15.66496
1705 95508 male 63 193.1 94.4 NH Black 25.31672
1706 95509 female 51 165.2 76.5 NH White 28.03118
1707 95510 female 51 154.2 56.7 NH Asian 23.84593
1708 95513 female 3 105.8 16.6 NH Black 14.82985
1709 95514 male 35 175.5 87.8 Mexican 28.50626
1710 95515 male 69 190.0 121.1 NH Black 33.54571
1711 95516 male 15 172.2 60.0 NH Black 20.23415
1712 95518 male 16 177.9 101.7 Other/Mixed 32.13432
1713 95519 female 53 158.9 76.2 NH White 30.17916
1714 95520 female 4 95.9 14.9 NH Black 16.20127
1715 95521 male 13 164.5 58.3 Other/Mixed 21.54452
1716 95522 female 22 164.6 76.5 NH White 28.23591
1717 95523 female 9 133.4 29.8 NH White 16.74575
1718 95524 female 62 143.9 57.5 Mexican 27.76811
1719 95525 female 51 168.1 76.2 NH Black 26.96619
1720 95526 female 80 154.1 74.5 Other/Mixed 31.37263
1721 95527 male 58 170.1 82.5 NH White 28.51316
1722 95528 female 75 166.3 71.1 NH White 25.70900
1723 95530 male 0 NA 9.1 Other Hispanic NA
1724 95531 male 58 177.6 98.7 NH White 31.29185
1725 95533 male 68 166.9 84.6 NH White 30.37090
1726 95534 female 67 158.7 86.4 Other Hispanic 34.30519
1727 95535 male 46 189.6 145.7 Other/Mixed 40.53059
1728 95536 male 11 160.2 45.1 NH Black 17.57323
1729 95537 male 48 166.5 80.5 NH Asian 29.03805
1730 95538 male 1 NA 18.3 NH White NA
1731 95539 male 69 181.1 88.0 NH Black 26.83155
1732 95540 male 68 155.0 71.7 Mexican 29.84391
1733 95541 female 65 160.5 106.2 Mexican 41.22631
1734 95542 female 56 158.0 69.6 NH Black 27.88015
1735 95543 female 28 157.7 60.1 NH Asian 24.16635
1736 95544 male 29 178.1 110.6 NH White 34.86802
1737 95545 male 14 163.0 44.0 NH Asian 16.56065
1738 95546 male 15 163.1 54.3 Mexican 20.41230
1739 95547 male 57 172.1 70.6 Other/Mixed 23.83653
1740 95548 male 28 179.3 60.4 NH White 18.78782
1741 95549 female 53 155.3 97.9 Mexican 40.59194
1742 95550 male 62 178.1 97.5 NH White 30.73808
1743 95551 female 57 138.3 50.4 Mexican 26.35034
1744 95552 male 5 114.1 19.6 NH Black 15.05514
1745 95553 male 79 189.4 98.0 NH Black 27.31908
1746 95554 male 7 131.4 25.7 NH White 14.88478
1747 95555 male 18 180.0 109.2 Mexican 33.70370
1748 95556 male 41 182.8 84.3 Other Hispanic 25.22756
1749 95557 female 79 159.7 55.1 NH Black 21.60438
1750 95559 female 42 158.9 75.5 NH White 29.90193
1751 95560 male 1 NA 11.2 Other Hispanic NA
1752 95561 male 63 171.9 113.6 NH Black 38.44382
1753 95562 female 1 NA 9.8 NH Black NA
1754 95563 female 46 173.0 70.1 NH White 23.42210
1755 95564 male 11 146.5 45.1 NH Asian 21.01364
1756 95565 male 29 171.3 78.9 NH Asian 26.88823
1757 95566 female 78 166.8 110.4 NH White 39.68049
1758 95567 male 1 NA 12.6 Other/Mixed NA
1759 95568 female 34 166.0 45.4 NH Asian 16.47554
1760 95569 female 23 160.6 78.2 NH Black 30.31906
1761 95570 female 2 84.1 10.5 NH White 14.84558
1762 95571 female 54 161.4 72.3 NH White 27.75436
1763 95572 male 75 168.9 76.0 NH White 26.64123
1764 95573 male 23 176.1 98.3 NH White 31.69821
1765 95574 female 36 176.5 97.2 NH White 31.20160
1766 95575 male 64 178.1 65.9 NH Black 20.77579
1767 95576 female 73 155.8 66.3 NH White 27.31358
1768 95577 female 63 156.1 72.5 NH White 29.75310
1769 95578 female 62 153.4 53.3 NH Asian 22.65043
1770 95579 male 54 NA NA NH Black NA
1771 95580 male 1 NA NA Other Hispanic NA
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1773 95582 female 32 160.8 70.6 NH Asian 27.30440
1774 95583 female 69 157.8 62.6 Mexican 25.13971
1775 95584 male 9 136.9 26.9 NH White 14.35309
1776 95585 male 19 180.9 97.1 Mexican 29.67168
1777 95586 female 26 161.2 51.0 NH Black 19.62638
1778 95587 female 29 170.6 104.4 NH White 35.87091
1779 95588 male 72 168.7 53.9 NH Black 18.93907
1780 95589 female 63 159.9 66.7 NH Black 26.08729
1781 95590 male 61 170.6 81.0 Other Hispanic 27.83088
1782 95591 female 36 150.3 47.5 NH Asian 21.02692
1783 95592 female 14 167.3 83.8 NH White 29.94002
1784 95593 male 70 185.3 79.6 NH White 23.18260
1785 95594 male 50 176.6 99.5 NH Asian 31.90375
1786 95595 female 43 163.0 135.6 NH White 51.03692
1787 95596 male 12 159.3 63.3 Mexican 24.94435
1788 95597 male 71 175.4 101.4 NH White 32.95936
1789 95598 male 22 174.1 87.7 Other Hispanic 28.93357
1790 95599 male 47 186.0 118.6 NH White 34.28142
1791 95600 male 74 NA NA Other/Mixed NA
1792 95601 male 69 168.8 100.7 NH White 35.34147
1793 95602 male 21 168.1 92.9 Mexican 32.87610
1794 95603 male 3 102.8 15.0 Other/Mixed 14.19401
1795 95604 male 16 169.7 74.9 Mexican 26.00867
1796 95605 male 3 95.4 14.7 Other/Mixed 16.15179
1797 95606 male 25 184.8 108.4 Mexican 31.74135
1798 95607 male 42 170.0 69.0 NH White 23.87543
1799 95608 male 67 172.8 77.9 NH Black 26.08855
1800 95609 female 22 155.0 78.1 NH White 32.50780
1801 95610 female 41 151.6 68.1 Other Hispanic 29.63116
1802 95611 male 53 177.2 58.3 Other/Mixed 18.56697
1803 95612 male 24 181.0 103.3 Other/Mixed 31.53139
1804 95613 male 9 134.3 29.6 Other/Mixed 16.41118
1805 95614 female 2 85.5 12.3 Other Hispanic 16.82569
1806 95615 male 78 167.1 73.1 NH Black 26.17969
1807 95616 female 17 159.7 73.2 Mexican 28.70128
1808 95617 male 60 175.5 91.9 NH Black 29.83742
1809 95618 female 16 167.4 83.7 NH Black 29.86858
1810 95619 female 16 173.4 54.8 NH Black 18.22562
1811 95620 female 6 117.6 20.8 NH White 15.04003
1812 95621 male 73 163.7 68.1 NH Asian 25.41264
1813 95622 female 42 167.4 57.9 NH White 20.66178
1814 95623 female 60 152.7 53.8 NH Asian 23.07301
1815 95624 male 0 NA 5.0 NH Black NA
1816 95625 male 43 177.2 69.8 NH Asian 22.22941
1817 95626 male 76 159.0 87.1 Mexican 34.45275
1818 95628 female 18 166.2 55.0 Other/Mixed 19.91135
1819 95629 female 80 NA NA NH White NA
1820 95630 female 80 159.3 95.3 NH Black 37.55445
1821 95631 male 13 152.2 44.4 Mexican 19.16698
1822 95632 male 1 NA 11.2 Other Hispanic NA
1823 95633 female 64 157.9 72.9 Mexican 29.23905
1824 95634 male 13 181.6 62.2 NH Black 18.86074
1825 95635 male 7 126.2 33.0 Mexican 20.72026
1826 95636 female 51 151.6 64.7 Other Hispanic 28.15178
1827 95637 male 74 171.3 99.9 NH White 34.04480
1828 95638 male 16 153.9 39.6 Other Hispanic 16.71929
1829 95639 male 31 169.4 72.3 Mexican 25.19483
1830 95640 male 19 176.8 68.5 NH Black 21.91422
1831 95641 female 50 165.0 131.8 Other/Mixed 48.41139
1832 95642 female 13 161.9 99.0 Mexican 37.76952
1833 95643 male 20 179.5 59.2 NH White 18.37354
1834 95644 female 62 154.3 79.4 Mexican 33.34945
1835 95645 female 67 150.1 56.4 Mexican 25.03328
1836 95646 male 0 NA 6.5 NH White NA
1837 95647 female 8 136.2 32.9 NH Asian 17.73543
1838 95648 male 72 177.2 86.9 NH White 27.67530
1839 95649 male 48 167.1 87.3 NH Black 31.26521
1840 95650 female 3 91.0 13.2 NH White 15.94010
1841 95651 male 80 NA 89.5 NH White NA
1842 95652 female 44 159.7 58.6 Mexican 22.97671
1843 95653 male 5 108.6 17.3 NH Black 14.66853
1844 95654 male 72 164.6 76.9 NH White 28.38355
1845 95655 male 22 183.6 105.1 NH White 31.17865
1846 95656 male 78 167.2 89.6 Other/Mixed 32.05055
1847 95657 male 31 190.9 78.6 NH White 21.56804
1848 95658 male 29 188.4 98.6 NH White 27.77890
1849 95659 male 46 180.0 86.2 NH Black 26.60494
1850 95660 male 7 131.4 27.4 NH White 15.86938
1851 95662 female 44 151.2 65.2 NH White 28.51964
1852 95663 male 43 176.3 86.9 Mexican 27.95858
1853 95664 male 47 188.0 105.5 NH White 29.84948
1854 95665 male 23 175.7 84.9 NH White 27.50199
1855 95666 male 33 170.7 124.1 NH White 42.58972
1856 95667 male 2 100.1 17.6 Other Hispanic 17.56485
1857 95668 female 68 165.6 85.6 Mexican 31.21426
1858 95669 female 56 161.3 71.4 NH White 27.44287
1859 95670 female 4 96.9 13.6 Mexican 14.48409
1860 95671 female 66 151.8 70.9 Mexican 30.76824
1861 95672 male 75 183.5 104.5 NH Black 31.03446
1862 95673 male 80 166.2 75.0 NH Black 27.15184
1863 95674 male 49 185.4 89.7 NH Black 26.09594
1864 95675 male 66 167.6 85.3 Other Hispanic 30.36694
1865 95676 male 53 168.9 90.3 Other Hispanic 31.65399
1866 95677 male 8 136.2 42.8 NH Black 23.07223
1867 95678 male 34 173.1 85.5 NH Black 28.53461
1868 95679 male 14 177.1 56.3 Mexican 17.95028
1869 95680 female 45 151.0 72.5 NH White 31.79685
1870 95681 female 80 155.9 64.7 NH White 26.62025
1871 95682 male 3 100.9 17.9 NH Asian 17.58210
1872 95683 female 0 NA 8.8 NH White NA
1873 95684 male 30 164.7 75.2 NH White 27.72239
1874 95685 male 30 170.4 130.3 NH White 44.87508
1875 95686 male 18 168.9 91.1 NH White 31.93442
1876 95687 male 80 173.6 74.2 NH Black 24.62093
1877 95688 female 8 129.7 29.3 Mexican 17.41757
1878 95689 female 60 176.6 112.2 NH Black 35.97588
1879 95690 male 54 169.4 75.1 NH Asian 26.17057
1880 95691 male 0 NA 5.9 Other Hispanic NA
1881 95692 female 69 153.3 51.4 NH White 21.87151
1882 95693 female 2 87.3 13.5 NH White 17.71354
1883 95694 female 50 153.5 69.6 NH Asian 29.53877
1884 95695 male 0 NA 6.6 Mexican NA
1885 95696 male 26 159.1 60.5 NH Black 23.90094
1886 95697 female 0 NA 4.3 Other Hispanic NA
1887 95698 female 55 151.6 78.0 NH Asian 33.93878
1888 95699 female 22 160.8 64.7 NH Black 25.02259
1889 95700 female 59 148.8 70.5 Other Hispanic 31.84075
1890 95701 male 8 132.7 25.6 Other/Mixed 14.53778
1891 95702 female 16 157.5 52.3 NH Asian 21.08340
1892 95703 female 24 180.4 111.7 NH Black 34.32259
1893 95704 male 50 163.1 70.1 NH Asian 26.35179
1894 95705 male 18 179.8 65.1 NH White 20.13732
1895 95706 female 6 123.5 23.4 Other/Mixed 15.34200
1896 95707 female 5 103.5 16.7 NH White 15.58963
1897 95708 male 52 185.5 109.7 NH White 31.88004
1898 95709 male 11 153.4 58.1 Other/Mixed 24.69025
1899 95710 male 61 174.8 102.0 NH Asian 33.38238
1900 95711 male 54 158.9 69.4 Mexican 27.48601
1901 95712 female 12 147.7 52.1 NH Black 23.88233
1902 95713 male 64 181.0 110.5 NH Black 33.72913
1903 95714 female 63 163.5 131.8 NH Black 49.30374
1904 95715 female 12 153.8 57.7 NH White 24.39288
1905 95716 female 38 153.7 64.0 Other Hispanic 27.09145
1906 95717 male 76 177.1 83.3 NH White 26.55877
1907 95718 male 63 172.5 79.9 NH White 26.85150
1908 95719 male 22 173.0 61.5 NH White 20.54863
1909 95720 female 59 167.8 61.7 NH White 21.91297
1910 95721 female 14 147.2 43.2 NH Asian 19.93738
1911 95722 male 38 164.6 88.9 Mexican 32.81271
1912 95723 female 80 152.9 69.3 NH White 29.64273
1913 95724 female 4 103.9 15.6 NH White 14.45085
1914 95725 male 70 184.1 146.3 NH White 43.16550
1915 95726 female 32 167.5 68.6 NH Black 24.45088
1916 95727 male 52 161.5 65.2 NH White 24.99784
1917 95728 male 1 NA 14.5 NH Asian NA
1918 95729 female 71 148.8 102.4 Mexican 46.24812
1919 95730 female 0 NA 6.3 NH Black NA
1920 95731 female 47 153.5 64.7 NH Asian 27.45918
1921 95732 female 14 149.1 50.9 NH White 22.89615
1922 95733 male 22 185.1 53.7 Mexican 15.67334
1923 95734 female 71 159.1 81.0 NH White 31.99961
1924 95735 male 8 137.2 27.3 Mexican 14.50289
1925 95736 male 58 188.2 76.3 NH White 21.54196
1926 95737 male 0 NA 9.3 NH White NA
1927 95738 female 49 166.8 104.8 Other/Mixed 37.66771
1928 95739 male 6 126.3 28.0 NH White 17.55300
1929 95740 male 5 113.5 20.5 Other/Mixed 15.91337
1930 95741 female 19 163.2 64.3 NH White 24.14186
1931 95742 male 9 136.5 28.2 NH White 15.13505
1932 95743 female 58 NA NA Mexican NA
1933 95744 female 57 160.1 66.7 NH Asian 26.02215
1934 95745 female 60 164.1 90.6 NH Black 33.64426
1935 95746 male 7 122.6 25.3 NH White 16.83215
1936 95747 male 10 137.2 35.5 Mexican 18.85906
1937 95748 male 43 180.9 89.6 NH Black 27.37984
1938 95749 male 10 157.1 48.8 Mexican 19.77277
1939 95750 female 5 111.2 23.4 NH White 18.92371
1940 95751 male 4 109.1 21.2 NH Asian 17.81092
1941 95752 male 80 168.1 65.7 Other Hispanic 23.25037
1942 95753 female 0 NA 7.8 NH White NA
1943 95754 male 33 176.1 113.0 NH White 36.43844
1944 95755 female 14 162.9 55.6 NH Asian 20.95234
1945 95756 male 26 175.6 60.7 NH White 19.68519
1946 95757 male 13 168.8 94.3 Mexican 33.09534
1947 95758 male 15 174.5 66.9 Other Hispanic 21.97026
1948 95759 female 63 147.6 98.2 NH Black 45.07532
1949 95760 male 14 178.5 83.3 Mexican 26.14379
1950 95761 male 51 162.1 63.1 Other Hispanic 24.01393
1951 95762 male 32 183.6 94.0 NH Black 27.88576
1952 95763 male 75 169.8 86.3 NH White 29.93198
1953 95764 male 6 127.3 28.5 NH White 17.58685
1954 95765 male 51 157.7 62.4 Mexican 25.09119
1955 95766 female 19 163.9 92.6 NH White 34.47094
1956 95767 male 60 171.7 160.9 NH White 54.57773
1957 95768 male 23 163.5 66.9 Other Hispanic 25.02595
1958 95769 male 61 182.6 117.9 NH Black 35.36000
1959 95770 male 50 171.6 117.1 NH Black 39.76695
1960 95771 female 63 163.7 103.4 NH Black 38.58542
1961 95772 female 64 157.1 67.7 NH Asian 27.43066
1962 95773 female 66 161.7 95.5 NH Black 36.52442
1963 95774 male 9 134.0 38.7 Mexican 21.55268
1964 95775 female 37 155.3 68.5 NH Asian 28.40192
1965 95776 male 13 160.7 37.6 NH Black 14.55982
1966 95777 female 78 161.1 69.7 NH White 26.85602
1967 95778 female 35 167.5 62.9 NH Black 22.41925
1968 95780 female 78 151.4 63.9 Mexican 27.87720
1969 95781 female 3 101.7 17.1 Other/Mixed 16.53310
1970 95782 male 18 162.6 41.2 NH White 15.58318
1971 95783 male 16 169.4 57.9 Other/Mixed 20.17678
1972 95784 female 4 112.3 20.7 NH White 16.41386
1973 95785 male 51 172.9 73.9 NH White 24.72034
1974 95786 female 5 114.0 19.8 NH White 15.23546
1975 95787 male 27 180.1 119.4 Mexican 36.81094
1976 95788 female 28 163.9 72.9 NH White 27.13749
1977 95789 female 48 166.0 78.6 NH White 28.52373
1978 95791 male 33 160.5 92.2 Other Hispanic 35.79158
1979 95792 male 23 172.5 85.3 NH White 28.66625
1980 95793 female 26 150.7 42.4 Mexican 18.66979
1981 95794 male 63 170.9 70.2 NH Asian 24.03549
1982 95796 male 4 111.8 17.4 NH Black 13.92085
1983 95797 male 4 105.0 16.9 NH Asian 15.32880
1984 95798 female 76 159.4 80.7 NH White 31.76120
1985 95799 female 25 168.0 69.9 NH White 24.76616
1986 95800 male 3 97.2 14.9 NH Black 15.77080
1987 95801 male 10 141.1 36.3 NH Black 18.23277
1988 95802 male 68 173.1 78.6 NH White 26.23182
1989 95803 male 38 180.0 100.8 NH White 31.11111
1990 95804 male 0 NA 4.9 Mexican NA
1991 95805 male 6 126.0 33.5 Mexican 21.10103
1992 95806 female 11 141.6 38.9 Other/Mixed 19.40095
1993 95807 female 34 161.4 118.4 NH White 45.45113
1994 95808 female 19 163.9 69.3 NH White 25.79736
1995 95809 female 59 157.0 81.6 Other Hispanic 33.10479
1996 95810 male 2 83.3 9.5 Mexican 13.69095
1997 95811 female 24 151.0 39.3 Mexican 17.23609
1998 95812 female 63 171.6 71.7 NH Black 24.34919
1999 95813 male 80 152.5 53.6 NH White 23.04757
2000 95814 male 45 172.6 117.3 NH Black 39.37462
2001 95815 male 3 103.0 16.0 Other/Mixed 15.08153
2002 95816 female 14 181.8 73.1 NH Black 22.11717
2003 95817 male 12 162.0 47.2 Mexican 17.98506
2004 95818 male 12 165.9 50.9 NH Asian 18.49375
2005 95819 male 80 180.1 115.2 NH White 35.51608
2006 95820 male 37 176.2 130.5 NH Black 42.03380
2007 95821 female 16 162.3 59.1 NH Black 22.43626
2008 95822 male 66 175.6 72.3 NH Asian 23.44711
2009 95823 female 9 149.4 57.7 Mexican 25.85084
2010 95824 male 66 175.8 98.3 Other Hispanic 31.80649
2011 95825 female 45 152.5 76.1 NH White 32.72239
2012 95826 male 11 150.5 61.3 NH Black 27.06372
2013 95827 male 14 176.8 79.7 Other Hispanic 25.49728
2014 95828 male 80 169.3 82.0 NH Black 28.60882
2015 95829 male 70 171.9 78.8 NH White 26.66702
2016 95830 female 5 118.1 24.3 NH White 17.42234
2017 95831 female 63 159.3 83.3 NH Asian 32.82566
2018 95833 male 61 166.2 81.1 Other Hispanic 29.36019
2019 95834 female 17 159.5 57.0 Mexican 22.40544
2020 95835 female 48 157.3 76.8 Other Hispanic 31.03872
2021 95836 female 55 164.8 107.1 NH White 39.43438
2022 95837 male 2 93.0 14.9 NH Black 17.22743
2023 95838 male 80 167.8 99.0 Mexican 35.16020
2024 95839 male 44 179.8 93.8 NH Black 29.01506
2025 95840 male 10 129.8 24.1 NH Black 14.30433
2026 95841 male 27 174.0 99.7 Mexican 32.93037
2027 95842 male 5 125.1 36.0 Other Hispanic 23.00318
2028 95843 male 73 169.5 76.8 Mexican 26.73141
2029 95844 female 70 150.7 65.5 NH White 28.84130
2030 95846 male 80 171.7 68.5 NH Black 23.23539
2031 95847 female 0 NA 8.3 NH White NA
2032 95848 female 52 156.5 57.1 NH Asian 23.31350
2033 95849 female 40 163.2 65.1 Other Hispanic 24.44222
2034 95850 female 27 163.4 107.9 NH Black 40.41265
2035 95851 male 28 165.5 85.0 Mexican 31.03294
2036 95852 female 1 NA NA NH Black NA
2037 95853 female 24 157.5 104.9 Other Hispanic 42.28773
2038 95854 male 28 185.7 133.7 NH White 38.77105
2039 95855 female 40 NA NA Other Hispanic NA
2040 95856 male 5 117.6 23.8 NH Black 17.20926
2041 95857 male 14 174.4 64.1 NH Black 21.07488
2042 95858 male 32 176.5 86.3 NH Asian 27.70265
2043 95859 female 13 164.8 49.9 NH White 18.37326
2044 95860 female 51 162.4 53.8 NH White 20.39906
2045 95861 female 10 132.7 33.9 Other Hispanic 19.25120
2046 95862 male 80 157.6 48.9 NH White 19.68777
2047 95863 female 80 159.2 90.8 NH Black 35.82612
2048 95864 male 73 156.6 52.7 NH Black 21.48954
2049 95865 female 47 161.2 99.3 NH Black 38.21371
2050 95866 female 80 160.7 69.1 Mexican 26.75755
2051 95867 female 34 161.4 126.1 NH White 48.40698
2052 95868 male 80 177.9 92.6 NH White 29.25897
2053 95869 male 66 185.1 90.2 NH Black 26.32653
2054 95870 female 20 168.7 104.6 NH Black 36.75374
2055 95871 female 5 113.9 17.7 Other/Mixed 13.64350
2056 95872 female 0 NA 8.8 NH White NA
2057 95873 male 76 165.8 77.3 NH White 28.11968
2058 95874 female 18 160.4 84.9 Other Hispanic 32.99886
2059 95875 female 67 161.9 93.5 Mexican 35.67122
2060 95876 female 6 122.5 22.4 Other/Mixed 14.92711
2061 95877 male 62 164.8 64.6 NH White 23.78582
2062 95878 female 1 NA 10.4 NH White NA
2063 95879 male 13 172.4 51.9 NH Asian 17.46195
2064 95880 female 69 166.1 110.7 NH White 40.12438
2065 95881 female 64 158.4 63.0 Mexican 25.10904
2066 95882 male 26 185.5 75.0 NH Black 21.79583
2067 95883 female 31 167.6 131.1 Mexican 46.67181
2068 95884 female 5 113.9 17.3 NH White 13.33517
2069 95885 female 0 NA 5.4 NH White NA
2070 95886 female 57 164.9 63.3 NH Asian 23.27890
2071 95887 female 8 126.5 22.1 Other Hispanic 13.81056
2072 95888 female 9 139.8 33.4 NH Black 17.08961
2073 95889 female 17 160.4 52.3 Mexican 20.32792
2074 95891 male 56 175.2 69.9 NH White 22.77241
2075 95892 male 17 177.7 93.4 Other Hispanic 29.57822
2076 95893 male 0 NA 6.6 Other/Mixed NA
2077 95894 female 0 NA 7.4 NH Black NA
2078 95895 female 12 160.4 56.3 NH Black 21.88264
2079 95896 female 32 177.7 66.6 NH Black 21.09111
2080 95897 male 5 113.5 19.0 NH Black 14.74898
2081 95898 female 14 161.6 77.8 NH White 29.79181
2082 95899 male 62 164.4 78.6 NH Asian 29.08164
2083 95900 male 31 180.7 95.9 NH White 29.36989
2084 95901 female 3 95.8 14.9 Mexican 16.23511
2085 95902 female 61 153.7 82.6 NH Black 34.96490
2086 95903 male 21 173.2 79.4 Mexican 26.46822
2087 95904 female 53 165.1 65.2 NH Asian 23.91957
2088 95905 male 5 108.3 19.2 Other Hispanic 16.36984
2089 95906 female 16 160.6 52.6 NH White 20.39364
2090 95907 female 19 NA NA Other/Mixed NA
2091 95908 male 69 173.3 93.8 Other Hispanic 31.23243
2092 95909 male 5 121.5 23.2 NH White 15.71576
2093 95910 male 50 170.0 80.1 NH Asian 27.71626
2094 95911 female 38 155.5 61.8 Mexican 25.55805
2095 95912 male 50 182.2 89.8 NH White 27.05077
2096 95913 female 80 163.6 54.6 NH White 20.39981
2097 95914 female 47 160.5 126.2 NH White 48.99021
2098 95915 male 57 169.8 101.5 NH White 35.20389
2099 95917 female 74 163.8 95.0 Other/Mixed 35.40754
2100 95919 male 47 182.2 158.5 NH White 47.74551
2101 95920 female 8 129.6 36.5 NH White 21.73116
2102 95921 male 4 109.7 21.8 Mexican 18.11520
2103 95922 male 25 174.4 83.4 NH White 27.42036
2104 95923 male 8 146.7 57.5 Other Hispanic 26.71823
2105 95924 female 65 172.9 110.2 NH Black 36.86308
2106 95925 male 2 97.2 14.5 NH Black 15.34742
2107 95926 female 12 157.6 42.3 NH White 17.03052
2108 95927 female 18 160.5 50.2 NH Black 19.48739
2109 95928 female 56 160.6 69.1 NH Asian 26.79088
2110 95929 female 10 146.5 43.1 NH Black 20.08177
2111 95930 male 5 121.7 35.1 NH White 23.69878
2112 95931 female 69 143.5 74.4 NH White 36.13010
2113 95932 male 1 NA 11.9 NH White NA
2114 95933 male 16 174.1 123.5 NH Black 40.74454
2115 95934 female 12 156.1 55.0 Mexican 22.57132
2116 95935 male 19 165.1 89.8 NH White 32.94444
2117 95936 female 63 165.1 106.8 NH Black 39.18114
2118 95937 male 9 134.6 28.2 Other Hispanic 15.56535
2119 95938 male 1 NA 11.6 NH Black NA
2120 95939 male 76 159.8 84.1 NH White 32.93385
2121 95941 female 3 93.6 12.5 NH White 14.26784
2122 95942 female 6 108.9 18.1 Mexican 15.26240
2123 95943 female 9 124.9 23.5 NH Black 15.06409
2124 95944 male 54 172.6 127.6 NH Asian 42.83207
2125 95945 female 70 154.0 69.4 NH White 29.26294
2126 95947 female 3 92.1 15.5 NH Asian 18.27311
2127 95948 female 18 170.8 67.6 NH White 23.17240
2128 95949 male 7 120.2 21.6 Other Hispanic 14.95012
2129 95950 male 45 181.5 75.2 NH White 22.82783
2130 95951 male 24 169.7 69.3 NH White 24.06410
2131 95952 male 68 172.5 83.0 NH White 27.89330
2132 95953 female 18 165.6 55.7 NH White 20.31115
2133 95955 female 22 164.0 102.1 NH White 37.96104
2134 95956 male 17 184.1 99.7 Mexican 29.41627
2135 95957 female 2 84.1 12.1 Other Hispanic 17.10777
2136 95958 female 12 164.8 71.8 NH Asian 26.43687
2137 95959 male 17 168.0 48.2 Other/Mixed 17.07766
2138 95960 female 11 165.3 85.1 NH White 31.14468
2139 95961 male 4 99.0 17.4 NH White 17.75329
2140 95962 male 32 179.1 185.0 NH White 57.67406
2141 95963 female 8 122.0 28.4 Mexican 19.08089
2142 95964 female 80 162.7 71.1 NH White 26.85929
2143 95966 male 66 178.9 103.3 NH White 32.27600
2144 95967 female 8 109.5 19.0 NH White 15.84621
2145 95968 female 49 157.5 50.1 NH Asian 20.19652
2146 95969 male 48 186.9 131.2 NH White 37.55910
2147 95970 female 7 123.9 25.3 NH White 16.48079
2148 95971 female 71 152.6 111.7 Mexican 47.96717
2149 95972 female 3 95.6 13.4 NH White 14.66186
2150 95973 female 21 154.5 60.7 Other Hispanic 25.42914
2151 95974 female 4 103.1 17.5 NH White 16.46345
2152 95975 male 8 148.1 49.7 NH Black 22.65929
2153 95976 female 65 167.9 89.9 Other/Mixed 31.89028
2154 95977 female 26 178.4 69.7 NH Black 21.89995
2155 95978 male 57 184.6 73.9 Other/Mixed 21.68608
2156 95979 male 66 174.5 62.0 NH Black 20.36108
2157 95980 male 8 121.4 21.6 NH Black 14.65603
2158 95981 male 69 170.3 78.8 NH Asian 27.17046
2159 95983 female 78 156.8 83.1 NH White 33.79939
2160 95984 female 9 126.7 23.3 NH Asian 14.51452
2161 95985 male 62 176.9 75.3 NH White 24.06242
2162 95986 male 48 165.6 88.2 NH Black 32.16236
2163 95987 male 80 NA 79.9 NH White NA
2164 95988 male 80 171.1 104.1 NH White 35.55910
2165 95989 female 13 164.2 68.6 Mexican 25.44356
2166 95990 female 28 167.5 59.9 NH White 21.34997
2167 95991 male 43 174.4 83.0 NH Asian 27.28884
2168 95992 female 79 158.2 79.9 NH White 31.92521
2169 95993 female 80 160.1 63.9 NH White 24.92977
2170 95994 female 11 158.4 66.7 Other Hispanic 26.58370
2171 95995 female 47 147.8 63.3 NH Asian 28.97709
2172 95996 female 42 166.0 108.0 NH Black 39.19292
2173 95997 female 61 156.5 75.6 NH Black 30.86691
2174 95998 male 29 161.9 78.8 Mexican 30.06301
2175 95999 male 16 190.7 73.3 NH Black 20.15592
2176 96000 male 29 181.7 62.2 NH Black 18.83998
2177 96001 male 64 171.9 149.7 NH White 50.66057
2178 96002 female 34 158.1 100.3 Mexican 40.12705
2179 96003 female 49 152.6 73.5 Mexican 31.56300
2180 96004 male 55 186.0 59.0 NH White 17.05399
2181 96005 male 14 172.4 89.2 NH White 30.01168
2182 96006 female 38 146.3 69.9 NH Asian 32.65792
2183 96008 male 52 178.8 94.3 NH Black 29.49692
2184 96009 male 4 100.7 15.5 NH White 15.28526
2185 96010 male 64 174.1 58.7 NH Black 19.36603
2186 96011 female 32 162.6 64.0 Mexican 24.20688
2187 96012 male 16 193.9 131.9 NH Black 35.08239
2188 96013 female 15 160.2 66.1 Mexican 25.75588
2189 96014 female 36 162.0 46.9 NH Asian 17.87075
2190 96015 female 1 NA 8.8 NH White NA
2191 96016 male 80 173.9 84.6 NH White 27.97507
2192 96017 male 64 159.0 61.4 Other Hispanic 24.28701
2193 96018 female 12 149.4 71.7 NH Black 32.12314
2194 96019 female 80 157.0 59.8 NH White 24.26062
2195 96020 female 80 142.9 57.1 NH White 27.96222
2196 96021 male 0 NA 6.0 NH White NA
2197 96022 male 56 165.2 78.7 Mexican 28.83730
2198 96023 female 73 155.2 74.9 Mexican 31.09556
2199 96025 male 40 186.5 104.1 Other/Mixed 29.92906
2200 96026 female 8 129.0 27.5 NH Asian 16.52545
2201 96027 female 80 156.3 67.6 NH White 27.67125
2202 96028 male 10 135.3 33.0 Other Hispanic 18.02679
2203 96029 male 31 165.2 80.8 NH Asian 29.60679
2204 96030 male 59 183.2 87.6 NH Black 26.10076
2205 96031 female 24 170.9 68.2 Other Hispanic 23.35072
2206 96032 female 11 154.5 52.1 NH Black 21.82633
2207 96033 female 60 159.8 88.7 NH Black 34.73522
2208 96034 male 57 178.9 81.2 NH White 25.37087
2209 96035 female 20 157.0 55.7 NH Asian 22.59727
2210 96036 female 13 166.6 78.3 NH White 28.21056
2211 96037 male 60 173.4 124.5 NH White 41.40675
2212 96038 female 55 159.4 56.9 NH Asian 22.39420
2213 96039 male 1 NA 12.3 NH White NA
2214 96040 male 9 137.1 38.6 Mexican 20.53584
2215 96041 male 80 173.0 65.3 NH Black 21.81830
2216 96042 female 6 119.0 25.3 NH White 17.86597
2217 96043 female 9 124.6 24.3 Other/Mixed 15.65201
2218 96044 female 61 163.6 114.6 NH Black 42.81718
2219 96045 female 5 114.8 27.6 NH White 20.94234
2220 96046 male 4 104.3 17.3 NH White 15.90294
2221 96047 male 10 133.9 33.5 NH Asian 18.68459
2222 96048 male 47 160.7 70.9 Other Hispanic 27.45456
2223 96049 male 69 165.1 79.7 Other Hispanic 29.23911
2224 96050 female 46 164.8 84.7 NH White 31.18667
2225 96051 female 11 158.1 44.1 NH Black 17.64310
2226 96052 female 14 152.0 48.9 NH Black 21.16517
2227 96054 female 0 NA 7.0 Mexican NA
2228 96055 male 10 147.8 44.1 NH Black 20.18783
2229 96056 male 20 176.9 76.2 Mexican 24.35002
2230 96057 male 11 140.4 38.6 Mexican 19.58182
2231 96058 female 10 130.3 27.2 Mexican 16.02065
2232 96059 female 0 NA 8.0 Mexican NA
2233 96061 male 67 166.7 74.4 NH White 26.77329
2234 96062 female 1 NA 11.1 NH White NA
2235 96063 female 27 161.6 52.1 NH Asian 19.95056
2236 96064 male 49 174.4 75.3 NH Asian 24.75723
2237 96065 male 66 153.3 63.5 NH Black 27.02025
2238 96066 male 52 169.0 61.4 Other/Mixed 21.49785
2239 96067 female 42 159.0 143.0 NH White 56.56422
2240 96068 female 17 167.0 75.3 Mexican 26.99989
2241 96069 male 7 130.7 25.1 NH Asian 14.69341
2242 96070 male 45 167.4 69.4 NH Asian 24.76558
2243 96071 male 12 148.1 30.9 NH Asian 14.08797
2244 96073 female 2 92.0 14.1 NH White 16.65879
2245 96074 female 34 171.4 111.9 NH White 38.08978
2246 96077 male 80 172.7 65.7 NH White 22.02829
2247 96078 male 19 174.1 137.3 Mexican 45.29737
2248 96079 male 52 156.1 80.6 Mexican 33.07724
2249 96081 female 10 137.7 45.2 Mexican 23.83804
2250 96082 male 37 189.3 120.1 NH White 33.51520
2251 96083 female 17 154.8 67.4 NH Black 28.12665
2252 96084 female 34 170.2 158.2 NH Black 54.61191
2253 96085 male 25 179.4 100.9 NH White 31.35063
2254 96086 male 65 172.9 110.9 NH White 37.09724
2255 96087 male 68 168.0 70.4 Other Hispanic 24.94331
2256 96088 male 20 173.1 61.0 NH Black 20.35803
2257 96089 male 76 174.3 93.8 NH White 30.87508
2258 96090 male 63 171.4 96.8 NH White 32.94987
2259 96091 female 54 152.6 77.4 Other Hispanic 33.23777
2260 96092 male 22 171.9 56.1 Other Hispanic 18.98502
2261 96093 female 20 156.8 95.9 NH White 39.00556
2262 96094 female 52 170.4 119.1 NH Black 41.01782
2263 96096 male 52 180.0 111.6 NH White 34.44444
2264 96097 male 58 179.6 84.5 NH White 26.19655
2265 96098 male 42 175.3 116.1 Mexican 37.78056
2266 96099 male 63 158.4 58.6 NH Asian 23.35540
2267 96100 male 65 168.3 65.5 Other/Mixed 23.12454
2268 96101 male 52 NA 79.5 NH Asian NA
2269 96103 female 23 159.2 109.4 NH Asian 43.16495
2270 96104 male 17 164.2 55.7 NH Asian 20.65898
2271 96105 female 24 163.2 55.9 Other Hispanic 20.98802
2272 96106 female 10 136.5 31.1 NH White 16.69149
2273 96108 female 47 161.6 98.3 Mexican 37.64184
2274 96109 male 8 132.5 38.4 Other Hispanic 21.87255
2275 96111 female 31 150.9 82.0 NH Black 36.01102
2276 96112 male 73 167.7 113.0 NH White 40.18022
2277 96113 male 2 87.3 12.9 Other/Mixed 16.92627
2278 96114 male 68 NA NA NH Black NA
2279 96115 female 71 NA NA Other Hispanic NA
2280 96116 female 54 161.7 71.0 NH White 27.15428
2281 96117 male 68 163.4 70.6 Other Hispanic 26.44238
2282 96118 female 2 86.6 12.5 NH Black 16.66764
2283 96119 female 14 180.1 81.0 NH White 24.97225
2284 96120 male 60 172.3 73.6 NH Black 24.79175
2285 96121 female 65 161.2 81.3 NH White 31.28675
2286 96122 female 54 139.7 47.5 NH Asian 24.33889
2287 96123 female 35 155.1 86.6 Mexican 35.99932
2288 96124 female 52 156.5 67.3 NH Asian 27.47808
2289 96125 female 28 165.9 61.1 NH White 22.19977
2290 96126 male 5 109.8 19.9 NH Black 16.50625
2291 96127 male 17 180.5 84.8 Mexican 26.02804
2292 96128 male 16 185.8 63.7 NH White 18.45219
2293 96129 male 5 119.1 23.5 Other/Mixed 16.56702
2294 96130 male 61 170.6 77.8 NH Asian 26.73139
2295 96131 male 3 105.0 26.5 NH Black 24.03628
2296 96132 male 16 185.1 76.4 NH White 22.29875
2297 96133 male 32 185.2 154.3 NH Black 44.98668
2298 96134 female 65 154.7 64.1 NH Asian 26.78412
2299 96135 female 73 154.7 93.6 NH Black 39.11067
2300 96136 male 62 161.9 70.6 Mexican 26.93463
2301 96137 female 48 159.8 93.4 NH White 36.57576
2302 96138 male 34 172.6 92.7 NH White 31.11703
2303 96139 male 27 162.9 62.3 Other Hispanic 23.47718
2304 96140 male 54 161.8 77.2 Other Hispanic 29.48901
2305 96141 male 60 157.4 71.4 Other Hispanic 28.81965
2306 96142 male 3 104.5 19.2 Other Hispanic 17.58202
2307 96143 male 55 169.9 87.8 NH Asian 30.41640
2308 96144 female 64 158.8 83.8 NH Black 33.23097
2309 96145 female 78 169.0 104.5 NH White 36.58835
2310 96146 female 0 NA 4.9 NH White NA
2311 96147 male 31 184.2 NA NH White NA
2312 96148 female 2 89.6 12.0 NH White 14.94739
2313 96149 female 63 153.6 61.7 NH Asian 26.15187
2314 96150 male 23 174.5 53.9 NH White 17.70100
2315 96151 male 57 172.3 86.3 NH White 29.06968
2316 96152 male 61 161.9 92.2 Mexican 35.17525
2317 96153 female 10 134.2 28.5 NH White 15.82486
2318 96154 female 1 NA 11.3 NH White NA
2319 96155 male 4 105.3 16.7 Other Hispanic 15.06121
2320 96156 male 46 172.0 70.8 NH Asian 23.93186
2321 96157 male 11 140.5 37.0 Other Hispanic 18.74343
2322 96158 male 26 178.7 131.4 NH Black 41.14777
2323 96159 female 61 145.7 97.2 NH Black 45.78752
2324 96160 female 58 163.6 63.4 Mexican 23.68769
2325 96161 female 9 143.3 58.4 Mexican 28.43940
2326 96162 female 60 163.0 91.0 Other Hispanic 34.25044
2327 96163 female 35 145.6 70.4 NH Asian 33.20855
2328 96164 female 64 151.3 59.0 NH Asian 25.77354
2329 96165 female 64 149.2 66.4 NH Asian 29.82843
2330 96166 female 8 142.5 27.8 NH White 13.69037
2331 96168 female 13 157.5 43.6 Mexican 17.57622
2332 96169 female 63 156.5 64.3 NH Black 26.25320
2333 96170 female 72 161.8 74.0 Mexican 28.26667
2334 96171 female 80 153.5 70.7 NH White 30.00562
2335 96172 female 80 159.8 70.3 NH White 27.52972
2336 96174 male 8 128.7 28.6 Other/Mixed 17.26668
2337 96175 male 39 170.7 97.2 NH Black 33.35794
2338 96176 male 6 109.7 21.6 NH White 17.94901
2339 96177 female 16 160.0 77.8 NH White 30.39062
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2341 96179 male 64 178.4 90.9 NH White 28.56105
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2345 96183 male 0 NA 6.2 NH White NA
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2359 96197 male 12 166.3 59.0 Other/Mixed 21.33377
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2374 96212 female 0 NA 8.0 Mexican NA
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2383 96223 male 70 171.9 58.3 NH Black 19.72953
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2385 96225 male 6 120.8 23.6 Other Hispanic 16.17254
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2396 96237 female 58 160.8 56.3 NH White 21.77390
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2404 96245 female 60 155.6 79.9 Mexican 33.00104
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2414 96255 male 0 NA 5.8 NH White NA
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2422 96264 female 45 NA NA NH Black NA
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2435 96279 female 54 156.2 81.4 NH White 33.36279
2436 96280 female 19 159.1 87.5 Mexican 34.56748
2437 96282 male 49 173.8 108.1 NH White 35.78707
2438 96283 male 46 182.1 86.8 NH White 26.17579
2439 96284 male 71 179.4 107.7 NH White 33.46346
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2442 96287 female 74 154.6 84.6 Other Hispanic 35.39577
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2444 96289 male 17 170.1 72.0 Other/Mixed 24.88421
2445 96290 female 73 159.3 79.9 NH Black 31.48584
2446 96291 female 53 165.6 136.5 NH Black 49.77508
2447 96292 female 4 103.5 15.9 NH Black 14.84282
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2449 96294 female 15 173.2 64.3 NH White 21.43459
2450 96295 male 31 171.0 73.9 NH White 25.27273
2451 96296 female 72 154.5 50.6 NH White 21.19793
2452 96297 female 32 166.8 74.7 NH White 26.84902
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2454 96299 male 29 172.2 62.1 NH White 20.94234
2455 96300 female 7 117.8 20.5 NH Asian 14.77282
2456 96301 male 54 195.5 105.7 NH Black 27.65550
2457 96302 male 72 169.9 81.4 NH White 28.19926
2458 96304 female 60 163.1 96.4 NH Black 36.23841
2459 96305 male 12 140.2 31.7 Mexican 16.12736
2460 96306 female 80 156.8 84.1 NH Black 34.20613
2461 96307 female 0 NA 5.9 NH White NA
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2463 96309 female 76 154.6 49.4 NH Asian 20.66845
2464 96310 male 54 154.0 64.4 NH Asian 27.15466
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2467 96313 female 29 155.1 56.9 NH Asian 23.65313
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2470 96316 male 0 NA 9.7 Mexican NA
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2473 96319 female 70 161.2 87.4 NH White 33.63422
2474 96320 male 46 170.0 87.4 NH White 30.24221
2475 96321 male 69 168.4 47.3 NH White 16.67927
2476 96322 female 34 147.5 52.2 NH Asian 23.99311
2477 96323 male 63 168.7 79.5 NH Black 27.93425
2478 96324 male 0 NA 7.0 NH White NA
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2480 96326 male 14 175.9 90.3 Other/Mixed 29.18476
2481 96327 female 10 139.2 45.3 Mexican 23.37867
2482 96328 male 12 157.6 47.1 NH Black 18.96306
2483 96329 female 42 166.1 64.5 Mexican 23.37870
2484 96330 male 64 183.6 94.7 Other/Mixed 28.09342
2485 96332 male 49 179.0 58.5 NH White 18.25786
2486 96333 female 60 151.3 59.8 Other Hispanic 26.12302
2487 96334 female 10 142.0 48.7 Mexican 24.15195
2488 96335 male 80 178.9 104.2 NH White 32.55720
2489 96336 male 74 170.4 76.0 NH Black 26.17426
2490 96337 male 20 178.1 93.1 Mexican 29.35093
2491 96338 female 19 NA NA NH White NA
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2496 96343 male 8 137.4 39.4 Other Hispanic 20.87001
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2498 96345 male 13 172.3 82.9 NH White 27.92441
2499 96346 male 29 159.7 94.6 NH Black 37.09209
2500 96347 female 15 164.6 50.5 NH Asian 18.63939
2501 96348 male 54 187.7 71.8 Other/Mixed 20.37961
2502 96349 male 76 171.0 106.4 NH White 36.38726
2503 96350 male 19 170.0 49.8 Mexican 17.23183
2504 96351 male 60 173.4 80.5 NH White 26.77304
2505 96352 male 67 172.6 83.7 NH Black 28.09596
2506 96353 male 1 NA 12.3 NH White NA
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2509 96357 male 69 174.6 72.5 NH Black 23.78206
2510 96358 female 48 151.1 66.4 NH White 29.08300
2511 96359 male 0 NA 10.1 NH Black NA
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2514 96362 female 61 159.9 69.9 NH White 27.33885
2515 96363 female 10 136.8 31.1 NH Black 16.61836
2516 96364 female 6 107.1 15.5 NH Black 13.51303
2517 96365 female 39 165.6 71.7 NH White 26.14559
2518 96366 female 61 154.2 117.9 Other Hispanic 49.58440
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2520 96368 female 31 157.9 103.9 Other/Mixed 41.67267
2521 96369 male 15 172.0 88.3 Mexican 29.84721
2522 96370 female 77 164.9 59.9 NH White 22.02853
2523 96371 female 14 161.5 50.7 Mexican 19.43851
2524 96372 male 50 180.9 84.9 NH Asian 25.94362
2525 96373 male 53 177.6 109.5 NH Black 34.71588
2526 96374 female 16 163.5 58.8 Mexican 21.99590
2527 96375 male 80 170.6 73.3 NH White 25.18523
2528 96376 male 12 151.7 41.4 Other Hispanic 17.98992
2529 96377 female 52 154.3 51.2 NH Asian 21.50493
2530 96378 male 7 128.0 24.1 NH Black 14.70947
2531 96379 female 21 175.8 72.3 Mexican 23.39379
2532 96380 male 43 176.0 99.7 NH Black 32.18621
2533 96381 female 4 102.6 17.3 NH Asian 16.43431
2534 96382 male 29 169.0 62.8 NH Black 21.98803
2535 96383 female 17 154.9 51.8 NH Black 21.58872
2536 96384 male 0 NA 4.8 NH White NA
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2538 96386 male 62 175.5 68.2 Other Hispanic 22.14268
2539 96387 female 4 101.7 17.4 NH White 16.82315
2540 96389 female 77 152.4 57.1 NH White 24.58477
2541 96390 male 46 185.8 98.5 Mexican 28.53283
2542 96391 male 16 173.8 97.0 Mexican 32.11236
2543 96392 female 28 164.1 81.6 Mexican 30.30212
2544 96393 male 71 177.7 87.8 NH White 27.80479
2545 96394 female 7 128.5 34.4 NH Black 20.83302
2546 96395 female 10 NA NA NH White NA
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2548 96397 male 9 144.4 32.3 NH Asian 15.49060
2549 96398 male 32 190.2 97.8 NH Black 27.03447
2550 96399 male 42 166.2 107.6 Other/Mixed 38.95384
2551 96400 male 32 171.9 84.9 NH White 28.73134
2552 96401 female 13 165.1 98.9 NH Black 36.28291
2553 96402 male 18 180.2 101.6 NH Black 31.28846
2554 96403 male 23 168.6 60.0 Mexican 21.10747
2555 96404 female 74 153.1 67.8 NH White 28.92540
2556 96405 female 23 147.9 64.8 Other Hispanic 29.62366
2557 96406 female 73 162.1 92.8 NH White 35.31685
2558 96408 female 44 142.7 90.8 NH Black 44.59004
2559 96409 female 80 NA NA Mexican NA
2560 96410 male 14 163.5 48.3 NH Black 18.06806
2561 96411 female 60 167.8 71.3 NH Black 25.32244
2562 96412 female 11 150.6 36.5 NH White 16.09322
2563 96413 male 71 179.8 104.9 NH Black 32.44861
2564 96414 male 1 NA 12.2 NH White NA
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2566 96416 female 42 172.4 69.8 NH White 23.48448
2567 96417 female 33 156.1 54.2 NH Asian 22.24301
2568 96418 female 15 162.9 46.7 Other Hispanic 17.59846
2569 96419 female 15 161.2 67.2 Mexican 25.86064
2570 96420 male 60 178.7 76.7 NH Asian 24.01852
2571 96421 female 12 157.4 41.4 Other Hispanic 16.71056
2572 96422 female 66 151.4 64.3 Mexican 28.05170
2573 96423 male 2 NA 15.8 NH Asian NA
2574 96424 male 1 NA 11.6 NH Black NA
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2576 96426 male 80 155.8 92.1 NH Black 37.94239
2577 96428 female 37 162.4 70.1 Other/Mixed 26.57945
2578 96430 male 8 125.5 29.5 NH White 18.72986
2579 96431 male 47 172.3 115.1 Mexican 38.77080
2580 96432 female 47 160.7 56.4 Other/Mixed 21.83973
2581 96433 female 35 160.7 89.9 NH White 34.81192
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2583 96435 female 10 143.1 41.9 NH Black 20.46137
2584 96436 male 74 179.2 99.8 NH White 31.07811
2585 96437 female 3 88.7 11.7 NH Asian 14.87095
2586 96439 male 63 174.4 73.5 NH Asian 24.16542
2587 96441 female 61 158.4 73.1 NH Black 29.13446
2588 96442 male 14 181.9 93.1 NH White 28.13742
2589 96443 female 24 165.3 54.0 NH White 19.76278
2590 96444 female 21 NA NA NH Asian NA
2591 96445 male 66 167.8 102.4 Mexican 36.36772
2592 96446 female 62 162.4 84.8 NH White 32.15317
2593 96447 male 0 NA 7.9 NH Black NA
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2595 96449 female 61 150.0 80.4 Other Hispanic 35.73333
2596 96450 female 53 160.6 83.3 NH White 32.29639
2597 96451 female 80 NA NA NH White NA
2598 96452 male 38 159.5 73.2 Mexican 28.77330
2599 96453 female 24 150.8 51.5 Other Hispanic 22.64668
2600 96455 male 34 185.7 145.2 NH White 42.10589
2601 96456 female 69 154.9 60.4 NH White 25.17295
2602 96457 male 58 181.6 98.7 Mexican 29.92854
2603 96458 male 1 NA 11.6 Other Hispanic NA
2604 96459 female 5 110.1 16.7 NH Asian 13.77659
2605 96460 female 2 87.6 12.4 Mexican 16.15896
2606 96461 male 3 96.9 15.6 NH Black 16.61411
2607 96462 male 65 164.4 64.7 NH Black 23.93871
2608 96463 male 26 176.9 62.3 Mexican 19.90822
2609 96465 female 41 160.3 56.2 NH Asian 21.87103
2610 96466 female 31 170.6 60.4 NH Black 20.75290
2611 96467 female 16 155.9 70.4 NH White 28.96546
2612 96468 female 66 154.3 77.2 NH Black 32.42541
2613 96469 female 42 152.7 61.5 Mexican 26.37528
2614 96470 male 47 166.0 77.7 NH White 28.19713
2615 96471 male 65 197.7 97.5 NH Black 24.94545
2616 96472 male 5 114.8 22.8 NH White 17.30020
2617 96473 male 79 161.1 67.8 NH White 26.12394
2618 96474 female 37 156.1 52.3 NH Asian 21.46327
2619 96475 male 51 180.3 109.7 NH Black 33.74545
2620 96476 female 37 166.7 148.6 NH Black 53.47461
2621 96477 male 65 176.6 122.8 NH Black 39.37467
2622 96478 male 18 168.6 59.6 NH Asian 20.96675
2623 96479 female 56 164.4 87.6 NH White 32.41160
2624 96480 male 65 161.0 52.1 Other/Mixed 20.09953
2625 96481 male 29 185.9 88.9 Mexican 25.72427
2626 96482 male 11 149.1 45.1 Other Hispanic 20.28716
2627 96483 female 49 169.0 70.6 NH Black 24.71902
2628 96484 male 27 174.9 63.5 Mexican 20.75841
2629 96485 female 21 154.8 75.3 NH White 31.42339
2630 96486 male 77 174.9 99.0 NH White 32.36351
2631 96487 male 19 186.2 82.5 NH White 23.79549
2632 96488 male 62 164.5 79.0 Other Hispanic 29.19411
2633 96489 female 57 150.4 94.3 Mexican 41.68848
2634 96490 female 39 157.0 54.3 NH Asian 22.02929
2635 96491 female 53 154.8 75.5 NH Asian 31.50685
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2637 96493 male 8 135.7 33.5 NH Black 18.19220
2638 96494 male 5 118.2 20.9 NH Black 14.95930
2639 96495 male 22 173.2 69.3 NH Black 23.10136
2640 96496 male 1 NA 9.2 NH Black NA
2641 96497 female 22 168.0 103.9 NH White 36.81264
2642 96498 male 10 143.8 55.4 Mexican 26.79119
2643 96500 male 24 163.9 54.4 NH Asian 20.25074
2644 96501 male 50 171.1 124.1 Other Hispanic 42.39081
2645 96502 female 60 158.9 69.5 NH White 27.52561
2646 96503 female 72 153.6 70.3 Other Hispanic 29.79702
2647 96504 female 13 165.3 52.2 NH White 19.10402
2648 96505 female 40 168.0 120.8 Other/Mixed 42.80045
2649 96507 female 37 150.1 55.3 NH Asian 24.54504
2650 96508 female 46 158.6 71.2 Mexican 28.30568
2651 96509 male 21 185.2 104.8 Mexican 30.55479
2652 96510 female 32 160.0 74.6 NH White 29.14062
2653 96511 male 41 177.4 89.7 NH Black 28.50265
2654 96512 male 64 174.7 102.3 NH White 33.51891
2655 96513 male 24 180.9 56.3 NH White 17.20407
2656 96514 female 80 159.1 60.3 NH Black 23.82193
2657 96515 male 69 167.3 55.7 NH Black 19.90047
2658 96516 female 18 160.5 64.9 NH White 25.19385
2659 96517 female 54 168.0 76.1 NH White 26.96287
2660 96518 female 14 152.9 65.2 Mexican 27.88898
2661 96519 female 33 154.0 53.6 NH Black 22.60078
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2663 96521 male 62 172.1 80.4 NH White 27.14528
2664 96522 female 52 163.8 48.7 NH White 18.15103
2665 96523 female 21 166.8 106.4 Other Hispanic 38.24279
2666 96524 male 8 127.4 26.5 NH White 16.32702
2667 96525 male 80 172.2 72.0 NH White 24.28098
2668 96526 male 63 NA NA NH Black NA
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2670 96529 male 66 165.8 62.7 NH Asian 22.80859
2671 96530 male 8 130.7 25.9 NH Black 15.16172
2672 96531 female 3 97.3 14.8 NH White 15.63277
2673 96532 female 45 161.8 105.1 NH White 40.14631
2674 96533 male 15 174.7 93.0 NH White 30.47173
2675 96534 female 48 159.2 60.8 NH Black 23.98929
2676 96535 male 4 108.8 19.0 NH Black 16.05077
2677 96536 male 9 130.0 28.4 NH Asian 16.80473
2678 96537 female 66 151.9 61.5 NH White 26.65383
2679 96538 female 51 154.8 83.0 Mexican 34.63667
2680 96539 female 9 139.1 28.8 NH Asian 14.88464
2681 96540 male 66 160.8 60.9 Other Hispanic 23.55294
2682 96541 male 5 119.3 21.4 NH Black 15.03602
2683 96542 female 17 168.6 51.6 NH White 18.15242
2684 96543 female 46 159.6 63.4 NH Black 24.88992
2685 96544 male 13 170.1 45.5 NH White 15.72544
2686 96545 female 17 165.4 62.7 Other Hispanic 22.91905
2687 96546 male 44 176.6 92.0 NH White 29.49894
2688 96547 female 44 162.3 79.7 NH White 30.25668
2689 96548 female 28 171.5 70.8 Mexican 24.07160
2690 96549 male 0 NA 9.4 NH Black NA
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2692 96551 female 36 163.0 99.1 Other/Mixed 37.29911
2693 96552 male 43 171.1 80.0 NH Black 27.32687
2694 96553 male 58 177.2 88.0 NH Asian 28.02562
2695 96554 male 31 192.5 146.6 NH Black 39.56148
2696 96555 male 46 184.8 85.9 NH Black 25.15297
2697 96556 female 0 NA 5.7 Other Hispanic NA
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2699 96558 male 29 167.5 95.3 NH Black 33.96748
2700 96559 male 13 160.7 42.4 NH Black 16.41852
2701 96560 male 71 173.3 54.5 NH Black 18.14677
2702 96561 male 53 184.9 124.8 Other/Mixed 36.50403
2703 96562 female 9 136.7 46.2 Mexican 24.72322
2704 96563 female 15 154.5 40.9 NH White 17.13430
2705 96565 female 18 168.8 110.9 Mexican 38.92124
2706 96566 male 23 183.7 94.0 NH White 27.85541
2707 96567 female 2 89.7 14.6 NH White 18.14546
2708 96568 male 80 168.8 67.4 NH White 23.65457
2709 96569 male 77 166.3 78.8 NH White 28.49323
2710 96570 male 10 139.7 56.0 Mexican 28.69427
2711 96571 female 58 161.4 119.0 Mexican 45.68145
2712 96572 male 8 143.5 33.5 NH White 16.26826
2713 96573 female 46 165.8 75.2 NH White 27.35576
2714 96574 female 39 155.3 58.1 NH White 24.08980
2715 96575 male 0 NA 9.3 Other/Mixed NA
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2717 96577 male 9 123.5 46.0 NH White 30.15948
2718 96578 male 54 169.1 91.8 NH Black 32.10373
2719 96579 female 10 144.8 36.3 NH Black 17.31289
2720 96580 male 27 178.0 100.7 NH White 31.78260
2721 96581 male 9 139.3 32.9 NH Black 16.95484
2722 96582 male 47 174.4 81.1 NH Black 26.66416
2723 96583 male 79 171.1 79.3 NH Black 27.08776
2724 96584 female 10 158.2 52.8 NH Black 21.09701
2725 96585 male 62 172.6 75.1 Mexican 25.20916
2726 96586 female 65 161.8 84.4 NH Black 32.23929
2727 96587 male 30 175.8 191.4 NH Black 61.93044
2728 96588 male 40 157.5 73.2 NH Asian 29.50869
2729 96589 female 15 156.1 80.8 NH Asian 33.15932
2730 96590 female 27 153.6 96.4 Mexican 40.85965
2731 96591 male 1 NA 11.3 NH White NA
2732 96592 male 80 170.4 91.3 NH White 31.44355
2733 96593 male 30 177.4 77.5 NH White 24.62603
2734 96594 male 39 180.3 155.6 NH White 47.86501
2735 96595 female 64 151.4 70.1 Other Hispanic 30.58203
2736 96596 male 35 170.2 83.1 Mexican 28.68679
2737 96597 female 4 105.2 17.6 NH Asian 15.90308
2738 96598 female 67 158.6 87.8 NH Black 34.90504
2739 96599 male 72 167.7 90.7 NH White 32.25085
2740 96600 female 25 155.8 103.1 NH Black 42.47406
2741 96601 male 3 NA NA NH White NA
2742 96602 male 80 168.4 85.6 NH White 30.18489
2743 96603 male 60 179.3 129.6 NH White 40.31294
2744 96606 male 14 164.1 58.4 NH Asian 21.68681
2745 96607 male 71 184.8 120.1 NH White 35.16730
2746 96608 male 30 172.4 73.2 NH White 24.62842
2747 96609 female 36 160.8 65.1 NH Black 25.17729
2748 96610 female 34 157.4 51.9 NH Asian 20.94874
2749 96611 male 10 154.4 105.1 NH Black 44.08675
2750 96612 female 5 112.2 21.6 NH Black 17.15805
2751 96613 female 7 125.1 26.4 NH Black 16.86900
2752 96614 male 79 175.8 68.0 NH Black 22.00246
2753 96615 male 62 166.8 81.3 Mexican 29.22123
2754 96616 male 51 165.9 69.2 NH Asian 25.14278
2755 96617 female 7 124.8 24.8 NH Asian 15.92291
2756 96618 female 36 166.6 57.2 NH White 20.60848
2757 96619 female 23 172.9 44.3 NH White 14.81882
2758 96620 male 2 94.8 14.4 NH Black 16.02307
2759 96622 female 40 159.6 120.1 NH Black 47.14952
2760 96623 male 53 167.3 78.7 Mexican 28.11790
2761 96624 male 36 169.0 81.8 NH Asian 28.64045
2762 96625 male 26 166.9 66.9 NH Asian 24.01671
2763 96626 male 23 179.5 69.2 NH Asian 21.47718
2764 96628 male 32 171.0 104.4 NH White 35.70329
2765 96629 female 46 173.4 89.2 NH Black 29.66652
2766 96630 male 41 175.6 111.6 Other Hispanic 36.19222
2767 96631 male 37 177.5 104.7 Other Hispanic 33.23150
2768 96633 male 65 171.8 81.4 NH Black 27.57897
2769 96634 male 59 161.3 57.8 Mexican 22.21565
2770 96635 male 2 97.2 17.4 Other Hispanic 18.41691
2771 96636 female 40 164.2 76.3 Mexican 28.29947
2772 96637 male 17 186.5 80.6 NH White 23.17274
2773 96638 male 58 175.3 79.8 NH White 25.96803
2774 96639 male 78 159.9 68.5 Other Hispanic 26.79129
2775 96640 male 5 109.3 16.6 Mexican 13.89529
2776 96641 male 35 190.5 94.3 Other/Mixed 25.98494
2777 96642 male 67 159.6 61.9 Mexican 24.30104
2778 96643 male 2 92.0 13.2 NH White 15.59546
2779 96644 male 66 163.0 85.7 Mexican 32.25564
2780 96646 male 44 165.9 73.3 Other Hispanic 26.63246
2781 96647 female 14 165.0 72.9 NH Black 26.77686
2782 96649 male 51 181.9 132.3 NH Black 39.98476
2783 96650 female 1 NA 10.8 NH Black NA
2784 96651 female 49 163.9 110.4 NH Black 41.09710
2785 96652 male 63 173.4 100.7 Other Hispanic 33.49124
2786 96653 male 28 169.0 86.2 NH Asian 30.18102
2787 96654 male 80 166.3 65.4 NH White 23.64794
2788 96655 male 13 184.8 77.6 Mexican 22.72259
2789 96656 male 24 157.6 62.2 Other Hispanic 25.04252
2790 96657 male 26 181.8 85.9 NH Asian 25.98995
2791 96658 male 60 175.0 78.7 NH Black 25.69796
2792 96659 female 58 174.8 68.8 NH White 22.51674
2793 96660 female 61 167.0 72.6 NH White 26.03177
2794 96661 female 24 164.9 53.9 NH Asian 19.82200
2795 96662 male 0 NA 9.2 NH White NA
2796 96663 female 20 163.4 57.4 NH White 21.49848
2797 96664 female 1 NA 10.2 NH Black NA
2798 96665 female 1 NA 12.2 NH White NA
2799 96666 male 52 167.7 123.9 Mexican 44.05601
2800 96667 male 69 165.2 94.6 Mexican 34.66339
2801 96668 female 0 NA 8.6 NH White NA
2802 96669 female 55 159.7 42.5 NH Asian 16.66399
2803 96670 female 12 152.6 43.1 NH White 18.50837
2804 96671 female 37 162.8 65.0 NH Asian 24.52475
2805 96672 male 32 173.0 78.2 NH Asian 26.12850
2806 96673 male 6 117.7 24.7 NH White 17.82970
2807 96674 male 30 180.4 96.6 Other Hispanic 29.68274
2808 96675 female 18 168.1 87.2 NH White 30.85894
2809 96677 female 25 165.3 93.9 NH White 34.36528
2810 96678 female 1 NA 11.0 NH White NA
2811 96679 female 30 163.6 51.2 NH White 19.12949
2812 96680 female 6 126.2 23.3 NH Asian 14.62976
2813 96681 female 33 167.7 91.5 Other/Mixed 32.53531
2814 96682 male 10 146.1 36.9 NH Asian 17.28725
2815 96683 female 41 NA NA Other Hispanic NA
2816 96685 female 17 162.8 85.9 NH Black 32.41040
2817 96687 female 80 156.7 71.7 NH White 29.19989
2818 96688 male 58 179.0 106.5 NH Black 33.23866
2819 96689 female 11 155.9 51.1 Other/Mixed 21.02464
2820 96690 female 5 98.9 15.0 Mexican 15.33553
2821 96691 male 5 110.5 19.5 NH Asian 15.97019
2822 96692 male 29 174.1 79.3 Other Hispanic 26.16228
2823 96693 female 18 153.8 47.2 Other/Mixed 19.95397
2824 96694 male 39 181.0 75.3 NH White 22.98465
2825 96695 female 25 156.3 68.2 NH White 27.91685
2826 96696 male 18 179.8 117.0 Mexican 36.19149
2827 96697 male 25 180.5 74.3 NH White 22.80523
2828 96698 male 40 173.6 119.6 NH White 39.68549
2829 96699 female 59 156.3 87.0 NH White 35.61240
2830 96700 male 68 172.4 95.1 NH White 31.99676
2831 96701 male 74 166.4 67.0 Other Hispanic 24.19737
2832 96703 female 0 NA 7.2 NH White NA
2833 96704 female 80 160.6 82.1 NH Black 31.83113
2834 96705 male 40 166.0 75.7 NH White 27.47133
2835 96706 male 40 174.2 86.2 NH White 28.40606
2836 96707 female 64 165.9 70.0 Other/Mixed 25.43345
2837 96708 female 52 162.4 77.0 NH White 29.19569
2838 96709 male 1 NA 11.1 NH White NA
2839 96711 female 36 160.7 66.4 Mexican 25.71203
2840 96712 female 80 156.5 80.6 NH White 32.90837
2841 96714 male 0 NA 7.7 NH Black NA
2842 96715 male 13 168.6 75.5 NH Black 26.56023
2843 96716 female 3 101.0 19.0 NH Black 18.62562
2844 96718 male 80 159.9 66.9 NH White 26.16551
2845 96719 female 50 169.7 124.8 NH Black 43.33621
2846 96720 male 80 167.6 98.4 NH White 35.03056
2847 96721 female 32 167.0 144.6 Mexican 51.84840
2848 96722 male 68 172.9 153.9 NH White 51.48120
2849 96723 female 38 163.2 51.9 NH White 19.48620
2850 96724 female 8 129.6 27.7 NH White 16.49186
2851 96725 female 33 156.4 79.3 Other Hispanic 32.41901
2852 96726 female 61 177.1 198.7 NH Black 63.35206
2853 96727 female 76 157.8 91.1 Other Hispanic 36.58511
2854 96728 male 6 121.7 25.2 NH White 17.01451
2855 96729 female 8 115.9 21.1 NH Asian 15.70781
2856 96730 female 53 151.5 64.7 Other Hispanic 28.18896
2857 96731 male 41 169.8 103.1 NH Black 35.75883
2858 96732 male 57 180.7 111.1 NH White 34.02497
2859 96733 female 12 152.6 48.0 NH Black 20.61257
2860 96734 female 19 154.7 62.5 NH Black 26.11556
2861 96735 male 3 106.7 20.0 NH Black 17.56714
2862 96736 male 72 168.1 84.8 NH Black 30.00962
2863 96737 female 34 160.3 52.6 NH Asian 20.47004
2864 96738 male 1 NA 11.9 NH White NA
2865 96739 male 20 174.4 95.1 NH Asian 31.26710
2866 96740 male 27 176.2 105.8 NH Asian 34.07798
2867 96741 female 10 158.2 54.6 Other/Mixed 21.81623
2868 96743 male 33 185.2 147.1 NH White 42.88750
2869 96744 male 33 167.1 133.7 Mexican 47.88269
2870 96745 female 52 160.9 136.6 NH Black 52.76411
2871 96746 male 17 188.7 83.7 NH Black 23.50616
2872 96747 female 0 NA 5.8 NH White NA
2873 96748 female 37 150.3 97.7 Mexican 43.24905
2874 96749 male 8 134.2 33.4 NH White 18.54562
2875 96750 female 53 146.1 80.2 NH White 37.57283
2876 96751 female 12 160.2 73.6 NH Black 28.67826
2877 96752 female 54 NA NA Mexican NA
2878 96753 male 78 176.4 76.9 NH Black 24.71321
2879 96754 female 79 148.7 52.7 NH Asian 23.83355
2880 96756 female 23 163.2 88.1 NH White 33.07772
2881 96758 male 47 178.9 131.3 NH Black 41.02457
2882 96759 female 19 166.4 123.0 NH White 44.42204
2883 96760 male 48 178.3 118.1 NH White 37.14901
2884 96761 female 7 124.2 25.2 Mexican 16.33644
2885 96762 male 8 135.5 54.3 Other/Mixed 29.57476
2886 96763 male 14 174.7 58.3 Mexican 19.10217
2887 96764 male 27 161.8 54.8 NH Asian 20.93262
2888 96765 female 12 160.5 59.7 NH Black 23.17524
2889 96766 female 52 161.4 91.6 NH Black 35.16320
2890 96768 female 56 174.7 79.4 Other Hispanic 26.01565
2891 96770 female 78 158.3 68.0 NH White 27.13608
2892 96771 female 67 158.7 68.8 Other Hispanic 27.31710
2893 96773 female 5 117.6 28.9 NH White 20.89696
2894 96774 female 28 153.9 52.3 NH Asian 22.08129
2895 96775 female 80 159.8 51.2 NH White 20.05009
2896 96776 male 19 163.2 57.0 Other Hispanic 21.40102
2897 96777 male 60 185.0 150.7 NH White 44.03214
2898 96778 female 17 182.0 71.7 NH Black 21.64594
2899 96779 male 0 NA 9.6 NH Black NA
2900 96780 male 80 184.0 79.2 NH White 23.39319
2901 96781 male 7 128.0 23.8 NH White 14.52637
2902 96782 male 10 NA NA NH Asian NA
2903 96783 female 58 158.5 60.6 Other Hispanic 24.12204
2904 96784 male 74 160.1 63.4 Mexican 24.73470
2905 96785 female 80 NA NA Other Hispanic NA
2906 96787 female 79 163.1 64.1 NH White 24.09629
2907 96788 female 29 164.4 106.8 NH Black 39.51551
2908 96789 female 80 151.1 64.3 Other Hispanic 28.16320
2909 96790 male 34 NA NA Mexican NA
2910 96791 female 1 NA 10.9 NH White NA
2911 96792 female 61 164.5 71.6 NH Black 26.45947
2912 96793 male 54 175.1 107.0 NH Black 34.89888
2913 96794 male 8 128.0 28.4 NH White 17.33398
2914 96795 male 22 186.2 137.2 NH White 39.57262
2915 96797 female 8 131.0 30.2 NH White 17.59804
2916 96798 male 70 180.4 115.7 NH Black 35.55169
2917 96799 male 75 174.2 81.7 Other/Mixed 26.92314
2918 96800 male 53 171.5 90.1 NH Black 30.63349
2919 96801 male 5 114.8 22.7 NH Asian 17.22432
2920 96802 female 5 106.6 16.8 NH Asian 14.78410
2921 96803 male 4 108.2 17.4 NH Asian 14.86260
2922 96804 male 67 174.6 125.3 NH Black 41.10197
2923 96805 female 64 163.3 100.9 Other Hispanic 37.83718
2924 96806 male 14 171.9 63.5 NH Black 21.48929
2925 96807 male 0 NA 5.0 Mexican NA
2926 96808 male 5 112.7 18.6 NH White 14.64418
2927 96809 male 80 176.2 85.4 NH Black 27.50718
2928 96810 female 39 153.1 65.1 NH Asian 27.77350
2929 96811 female 35 159.6 78.5 NH Black 30.81796
2930 96812 male 72 157.5 60.0 NH Asian 24.18745
2931 96813 male 30 178.2 90.0 NH Asian 28.34178
2932 96814 female 0 NA 7.1 Mexican NA
2933 96815 male 77 178.1 89.5 NH White 28.21598
2934 96816 female 60 164.0 68.9 NH Black 25.61719
2935 96817 female 13 156.0 54.4 Mexican 22.35371
2936 96818 male 49 183.0 76.4 NH Black 22.81346
2937 96819 female 6 114.3 22.0 Mexican 16.83954
2938 96820 male 47 187.0 99.1 NH White 28.33939
2939 96821 male 21 178.7 78.0 NH Asian 24.42561
2940 96822 male 19 170.4 60.7 Mexican 20.90497
2941 96823 male 18 173.5 58.6 NH White 19.46698
2942 96824 male 3 97.7 12.8 NH Asian 13.40975
2943 96826 male 29 176.8 85.9 NH Asian 27.48075
2944 96827 male 73 172.2 78.0 NH White 26.30439
2945 96828 male 11 148.7 34.7 Other Hispanic 15.69306
2946 96829 female 38 165.3 88.8 NH White 32.49880
2947 96830 male 63 181.2 99.9 NH White 30.42630
2948 96831 female 4 108.4 19.0 NH White 16.16944
2949 96832 male 0 NA 9.9 Mexican NA
2950 96833 female 34 172.3 167.5 NH Black 56.42145
2951 96834 male 77 171.1 103.1 Other Hispanic 35.21751
2952 96835 female 68 168.1 75.9 NH White 26.86002
2953 96836 female 59 164.4 109.3 NH Black 40.44050
2954 96837 male 8 128.4 26.5 Mexican 16.07370
2955 96838 female 32 163.0 74.7 NH Asian 28.11547
2956 96839 female 22 171.6 132.2 Other/Mixed 44.89489
2957 96840 male 67 173.6 85.6 NH Asian 28.40366
2958 96841 male 74 173.3 61.1 NH White 20.34436
2959 96842 female 75 161.1 85.4 NH White 32.90537
2960 96843 male 16 168.7 89.3 Mexican 31.37771
2961 96844 male 55 176.7 73.6 NH Asian 23.57245
2962 96845 female 0 NA 10.3 Other/Mixed NA
2963 96846 female 5 113.7 18.6 NH Asian 14.38772
2964 96847 female 44 161.0 53.4 NH Black 20.60106
2965 96848 female 56 159.7 125.1 NH Black 49.05096
2966 96849 female 11 154.8 51.2 Mexican 21.36624
2967 96850 male 17 172.7 72.1 NH White 24.17412
2968 96851 female 61 151.2 66.0 Other Hispanic 28.86957
2969 96852 male 35 169.2 107.5 Mexican 37.54981
2970 96853 female 0 NA 5.6 NH White NA
2971 96854 female 38 162.2 52.3 NH White 19.87925
2972 96855 female 80 158.0 86.6 NH Black 34.68995
2973 96856 male 5 111.4 21.3 NH Black 17.16363
2974 96857 female 1 NA 8.7 Other/Mixed NA
2975 96858 male 11 148.2 43.6 NH Asian 19.85135
2976 96859 male 17 167.5 50.6 NH White 18.03520
2977 96860 female 22 163.3 74.2 NH White 27.82477
2978 96861 male 11 165.3 67.2 NH White 24.59368
2979 96862 female 51 171.3 101.7 NH White 34.65822
2980 96863 male 56 183.2 103.7 NH White 30.89782
2981 96864 female 6 109.5 18.1 NH White 15.09560
2982 96865 female 28 172.5 67.4 NH Black 22.65070
2983 96866 male 80 165.7 70.9 NH Asian 25.82267
2984 96867 female 5 109.9 24.4 Other Hispanic 20.20200
2985 96868 female 42 162.1 62.4 NH White 23.74754
2986 96869 male 49 179.9 136.1 NH Black 42.05289
2987 96871 male 72 172.5 87.6 NH White 29.43919
2988 96872 male 2 98.6 17.1 NH Asian 17.58905
2989 96873 female 80 158.1 109.9 NH Black 43.96772
2990 96874 female 55 161.8 67.3 Mexican 25.70739
2991 96875 female 56 164.6 135.0 NH Black 49.82807
2992 96876 female 60 166.2 86.5 NH Black 31.31512
2993 96877 male 60 168.5 92.3 NH Black 32.50887
2994 96878 male 80 179.4 100.5 NH White 31.22635
2995 96879 female 25 164.1 85.0 NH White 31.56471
2996 96880 female 0 NA 3.5 NH Black NA
2997 96881 female 16 165.9 86.8 NH Black 31.53748
2998 96882 female 44 146.7 76.6 NH Asian 35.59332
2999 96884 female 55 160.3 70.2 NH Asian 27.31933
3000 96885 male 24 168.2 85.0 Mexican 30.04464
3001 96886 female 1 NA 11.5 NH White NA
3002 96887 female 57 152.5 65.1 NH White 27.99248
3003 96888 female 4 105.7 18.9 NH Black 16.91655
3004 96889 female 5 111.0 16.9 NH Asian 13.71642
3005 96890 male 20 175.9 66.8 NH Black 21.58961
3006 96891 male 41 179.2 86.9 NH Black 27.06100
3007 96892 female 65 149.3 71.0 NH White 31.85215
3008 96893 male 42 170.7 86.7 Other Hispanic 29.75446
3009 96894 male 48 176.2 122.4 Other Hispanic 39.42481
3010 96895 female 60 159.5 67.6 Other Hispanic 26.57207
3011 96896 female 80 157.4 57.2 NH Black 23.08801
3012 96897 male 15 171.2 53.1 Mexican 18.11703
3013 96898 male 56 169.3 88.0 Other Hispanic 30.70215
3014 96899 male 21 179.6 82.3 NH Black 25.51451
3015 96900 male 24 162.0 74.1 Other Hispanic 28.23503
3016 96901 female 33 156.5 64.1 Mexican 26.17154
3017 96902 male 75 169.8 69.6 NH White 24.13981
3018 96903 male 51 170.3 70.2 NH Asian 24.20515
3019 96904 female 8 130.7 28.2 Mexican 16.50813
3020 96905 female 3 94.9 14.9 NH White 16.54451
3021 96906 male 74 172.3 94.2 NH White 31.73075
3022 96907 female 35 171.6 105.6 NH White 35.86157
3023 96908 female 73 151.5 63.2 Other/Mixed 27.53543
3024 96910 female 10 145.2 41.1 Other/Mixed 19.49434
3025 96911 female 4 103.3 15.0 NH Asian 14.05693
3026 96912 male 50 191.8 125.2 NH Black 34.03354
3027 96913 female 25 149.8 58.5 NH Asian 26.06947
3028 96914 female 4 107.9 18.2 NH White 15.63250
3029 96915 male 49 191.9 105.8 NH White 28.73001
3030 96916 female 69 155.1 91.7 Mexican 38.11937
3031 96917 male 3 98.9 16.2 Other Hispanic 16.56237
3032 96918 male 7 136.2 32.6 NH White 17.57371
3033 96919 female 12 135.5 31.2 NH Asian 16.99323
3034 96920 female 0 NA 3.9 NH White NA
3035 96921 male 57 177.9 140.0 NH White 44.23603
3036 96922 male 57 178.3 97.6 NH White 30.70062
3037 96923 female 9 133.7 29.0 NH White 16.22315
3038 96924 female 16 176.6 57.3 NH Black 18.37271
3039 96925 male 27 170.4 108.1 Other Hispanic 37.22944
3040 96926 male 59 185.6 77.2 NH White 22.41101
3041 96927 male 70 176.4 100.8 NH White 32.39391
3042 96928 male 71 159.0 59.9 NH Black 23.69368
3043 96929 female 7 123.4 19.9 Other/Mixed 13.06841
3044 96930 male 70 173.2 68.3 NH White 22.76800
3045 96931 female 10 135.9 26.3 NH Asian 14.24022
3046 96932 male 1 NA 13.1 Other/Mixed NA
3047 96933 male 59 167.8 65.2 NH White 23.15601
3048 96934 female 55 160.6 39.9 NH Black 15.46970
3049 96935 male 41 165.1 105.5 NH White 38.70422
3050 96936 female 7 130.4 41.8 Mexican 24.58222
3051 96937 male 13 167.7 62.2 NH Asian 22.11690
3052 96938 female 65 156.6 65.8 Mexican 26.83134
3053 96939 female 32 158.0 75.9 NH White 30.40378
3054 96940 female 59 159.2 56.1 NH White 22.13486
3055 96941 female 39 155.4 89.6 NH Black 37.10274
3056 96942 male 15 158.5 67.6 NH Black 26.90842
3057 96943 male 9 125.7 25.2 Other/Mixed 15.94887
3058 96944 female 70 160.2 71.7 Mexican 27.93792
3059 96945 male 18 173.9 121.4 NH White 40.14390
3060 96946 male 77 159.6 76.5 Mexican 30.03279
3061 96948 male 33 176.8 176.5 NH Black 56.46511
3062 96949 female 0 NA 10.5 NH White NA
3063 96950 female 6 124.1 45.2 Mexican 29.34911
3064 96951 female 36 165.1 92.0 NH White 33.75155
3065 96952 female 63 153.5 53.2 NH White 22.57849
3066 96953 female 60 173.3 97.1 NH White 32.33122
3067 96954 male 55 160.3 76.7 Mexican 29.84890
3068 96955 male 64 169.7 79.9 NH Asian 27.74490
3069 96956 male 70 173.2 83.7 NH White 27.90164
3070 96957 male 9 130.2 26.0 Mexican 15.33739
3071 96958 female 24 163.5 104.5 NH Black 39.09136
3072 96959 male 33 174.0 75.4 NH Asian 24.90421
3073 96960 female 47 169.7 126.4 NH Black 43.89180
3074 96961 male 15 173.8 57.9 NH Black 19.16810
3075 96962 female 71 156.8 62.8 NH Asian 25.54274
3076 96963 female 6 124.0 27.0 Other/Mixed 17.55983
3077 96964 female 65 167.9 77.0 NH Black 27.31425
3078 96965 male 52 164.5 82.8 Other Hispanic 30.59839
3079 96966 female 25 160.8 67.9 NH White 26.26018
3080 96967 female 21 157.7 48.1 NH Asian 19.34112
3081 96968 male 13 167.4 93.2 Mexican 33.25868
3082 96969 male 38 164.9 73.1 Mexican 26.88290
3083 96970 female 49 153.2 51.1 NH Asian 21.77225
3084 96971 male 16 171.0 77.3 NH White 26.43548
3085 96972 female 62 168.7 68.1 NH Black 23.92858
3086 96974 male 2 92.6 13.6 NH White 15.86050
3087 96975 female 30 154.5 58.9 NH Black 24.67507
3088 96976 male 63 172.2 74.6 NH White 25.15779
3089 96977 female 7 117.1 19.7 Other/Mixed 14.36655
3090 96978 male 60 180.5 83.9 NH Black 25.75180
3091 96979 female 34 157.1 82.8 Other Hispanic 33.54888
3092 96980 male 15 171.0 82.5 NH White 28.21381
3093 96981 male 13 178.4 88.4 Other/Mixed 27.77554
3094 96983 male 80 166.4 88.0 NH White 31.78162
3095 96984 female 38 170.1 101.3 NH Black 35.01070
3096 96985 female 80 153.4 79.1 NH White 33.61443
3097 96986 male 0 NA 10.8 NH White NA
3098 96988 male 3 98.9 18.4 NH Asian 18.81158
3099 96989 female 64 159.9 86.6 NH Black 33.87045
3100 96990 male 30 175.5 92.6 Other Hispanic 30.06469
3101 96991 female 4 105.2 18.3 NH Asian 16.53559
3102 96992 male 28 161.5 73.0 NH Black 27.98838
3103 96993 male 52 182.6 149.8 NH White 44.92729
3104 96994 male 61 177.6 146.8 Other Hispanic 46.54147
3105 96995 female 6 114.0 23.4 NH Black 18.00554
3106 96996 female 38 161.3 79.0 Other Hispanic 30.36396
3107 96997 male 9 136.4 34.3 NH White 18.43594
3108 96998 female 68 157.7 106.3 Other/Mixed 42.74348
3109 96999 female 2 90.2 13.0 Other Hispanic 15.97829
3110 97000 male 33 181.5 84.7 NH Asian 25.71166
3111 97001 male 11 141.0 52.8 Other Hispanic 26.55802
3112 97002 female 4 104.3 17.2 Other/Mixed 15.81102
3113 97003 male 20 181.6 66.1 NH White 20.04333
3114 97004 female 16 155.9 46.7 Mexican 19.21430
3115 97005 male 0 NA 8.2 NH White NA
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3117 97007 male 6 125.4 24.4 Mexican 15.51654
3118 97008 male 13 160.3 80.3 Mexican 31.24989
3119 97009 male 30 167.9 67.5 NH Black 23.94431
3120 97011 female 26 157.7 71.1 NH White 28.58948
3121 97012 female 14 164.4 48.2 NH Black 17.83378
3122 97013 male 50 162.6 86.8 Mexican 32.83059
3123 97014 female 4 108.0 18.1 NH Black 15.51783
3124 97015 female 72 156.8 93.3 NH Black 37.94806
3125 97016 female 4 103.1 14.9 Mexican 14.01745
3126 97017 female 66 155.6 73.2 NH White 30.23374
3127 97018 male 27 165.6 63.3 NH Black 23.08251
3128 97019 male 44 164.5 70.3 Other Hispanic 25.97907
3129 97020 male 12 NA NA NH Black NA
3130 97021 male 27 184.4 91.1 NH White 26.79147
3131 97022 male 46 158.8 66.2 Other Hispanic 26.25167
3132 97023 female 80 155.7 46.9 Mexican 19.34620
3133 97024 female 55 171.4 68.2 NH White 23.21468
3134 97025 female 36 161.6 67.5 Mexican 25.84765
3135 97026 female 80 155.1 63.6 NH White 26.43830
3136 97027 female 26 154.4 59.7 NH Asian 25.04262
3137 97028 male 17 182.2 124.0 NH White 37.35295
3138 97029 male 55 168.7 73.4 NH Asian 25.79086
3139 97030 female 57 160.6 84.8 Other Hispanic 32.87795
3140 97031 male 70 169.6 86.7 NH Black 30.14168
3141 97032 male 50 182.3 88.0 NH White 26.47947
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3143 97034 female 31 162.0 57.1 NH White 21.75735
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3261 97158 male 1 NA 9.6 Mexican NA
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3300 97198 female 73 157.4 65.3 NH White 26.35747
3301 97199 male 15 171.2 84.5 Other/Mixed 28.83030
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3313 97211 female 54 NA NA Mexican NA
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3319 97217 female 29 161.7 60.0 NH Black 22.94728
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3324 97222 female 53 156.3 128.1 NH Black 52.43620
3325 97223 male 26 181.7 83.0 NH Black 25.14017
3326 97224 female 72 155.4 59.7 NH White 24.72136
3327 97225 female 80 157.3 102.8 NH White 41.54662
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3331 97229 female 80 157.9 64.5 NH White 25.86994
3332 97230 male 10 140.1 42.8 Mexican 21.80557
3333 97231 female 27 155.5 75.0 NH Asian 31.01705
3334 97232 male 16 178.8 73.8 NH White 23.08455
3335 97233 male 69 157.5 63.4 NH Asian 25.55808
3336 97234 female 32 161.1 90.8 Other/Mixed 34.98604
3337 97235 female 35 168.1 83.0 NH White 29.37262
3338 97236 male 45 171.2 73.8 NH Asian 25.17960
3339 97237 female 80 159.1 74.8 NH White 29.55026
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3341 97239 female 13 170.2 58.4 NH Black 20.16015
3342 97240 female 17 171.7 59.5 NH Black 20.18257
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3344 97242 male 75 173.9 86.3 NH White 28.53722
3345 97243 female 9 138.3 31.2 NH Black 16.31211
3346 97244 female 13 165.7 62.7 NH White 22.83613
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3350 97248 female 68 148.7 57.0 Other Hispanic 25.77822
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3352 97250 male 32 189.0 82.7 NH White 23.15165
3353 97251 male 41 171.6 83.0 NH Black 28.18665
3354 97252 female 69 155.3 83.7 NH White 34.70424
3355 97253 female 57 162.8 83.8 NH Black 31.61806
3356 97254 male 1 NA 12.1 Mexican NA
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3358 97256 male 57 173.2 65.1 NH White 21.70127
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3360 97258 female 13 155.5 47.8 Other/Mixed 19.76820
3361 97259 male 57 161.4 63.9 NH Black 24.52979
3362 97260 female 45 153.1 71.6 Other Hispanic 30.54658
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3365 97263 female 41 164.0 55.3 NH Asian 20.56068
3366 97264 female 67 153.5 88.2 Mexican 37.43276
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3372 97271 female 7 140.7 41.9 NH Black 21.16537
3373 97272 female 80 165.9 75.5 NH Black 27.43179
3374 97274 male 80 171.3 81.8 Other/Mixed 27.87652
3375 97275 female 39 172.6 62.2 NH Black 20.87896
3376 97276 female 0 NA 10.0 Mexican NA
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3378 97278 female 27 153.1 74.8 NH Black 31.91179
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3380 97280 male 48 167.9 88.2 Mexican 31.28724
3381 97281 female 11 165.1 57.8 Mexican 21.20478
3382 97282 female 65 156.1 71.1 NH Black 29.17856
3383 97284 female 52 166.7 77.1 NH White 27.74490
3384 97285 male 19 NA NA Other Hispanic NA
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3390 97291 female 11 142.7 30.7 Mexican 15.07615
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3392 97293 female 27 153.0 66.2 Mexican 28.27972
3393 97294 male 0 NA 10.0 NH White NA
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3395 97296 male 2 85.7 12.4 NH White 16.88341
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3397 97298 female 14 157.8 66.1 Mexican 26.54529
3398 97299 male 59 183.1 93.3 NH White 27.82947
3399 97300 male 0 NA 4.9 Mexican NA
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3401 97302 male 12 140.0 41.8 NH White 21.32653
3402 97303 female 8 126.5 27.5 NH Asian 17.18508
3403 97304 female 26 161.1 95.6 Mexican 36.83552
3404 97305 male 64 176.1 90.4 NH White 29.15075
3405 97306 female 20 161.8 85.3 Mexican 32.58307
3406 97307 male 63 172.0 124.0 NH White 41.91455
3407 97308 female 51 169.5 94.6 NH White 32.92697
3408 97309 female 2 90.5 14.7 Mexican 17.94817
3409 97310 female 2 95.5 17.0 NH Black 18.63984
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3416 97317 female 0 NA 8.4 Mexican NA
3417 97318 female 0 NA 8.7 Mexican NA
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3420 97321 male 37 164.1 68.6 NH Asian 25.47458
3421 97322 female 32 174.7 110.6 NH Black 36.23843
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3431 97332 female 80 156.2 58.4 NH White 23.93596
3432 97333 female 48 163.1 55.0 NH Asian 20.67544
3433 97334 female 72 156.3 56.3 NH White 23.04573
3434 97335 female 12 158.9 62.0 Other/Mixed 24.55522
3435 97336 female 58 152.7 43.0 NH Asian 18.44125
3436 97337 male 71 165.0 83.6 NH Black 30.70707
3437 97338 female 37 170.7 98.1 Other/Mixed 33.66681
3438 97339 male 80 174.4 78.5 NH White 25.80933
3439 97340 female 9 143.2 33.3 NH Black 16.23896
3440 97341 male 9 134.6 37.0 NH White 20.42263
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3450 97352 male 45 164.6 61.6 NH White 22.73637
3451 97353 male 80 170.7 61.8 NH White 21.20906
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3457 97359 female 17 166.5 42.3 NH White 15.25850
3458 97360 male 63 172.1 120.9 NH Black 40.81921
3459 97361 male 54 187.9 111.1 Other/Mixed 31.46737
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3465 97367 female 61 168.4 90.1 NH White 31.77171
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3470 97373 female 41 159.3 86.7 NH White 34.16548
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3472 97375 male 71 177.4 117.3 Other/Mixed 37.27269
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3480 97384 male 31 185.5 91.3 Mexican 26.53279
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3485 97389 male 80 181.7 80.0 NH Black 24.23149
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3500 97404 female 9 134.1 41.9 NH White 23.30003
3501 97405 female 4 102.5 17.1 NH White 16.27603
3502 97406 female 7 124.4 23.9 NH White 15.44391
3503 97407 male 55 162.0 107.2 NH Black 40.84743
3504 97408 male 67 171.6 103.8 NH White 35.25030
3505 97409 male 32 173.1 81.5 NH Asian 27.19966
3506 97410 female 46 151.8 46.0 Mexican 19.96247
3507 97411 female 15 154.4 67.7 Mexican 28.39841
3508 97412 male 73 175.8 92.8 NH White 30.02688
3509 97413 male 9 140.3 36.7 Mexican 18.64450
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3514 97418 female 47 157.0 75.1 NH White 30.46777
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3525 97429 male 51 172.4 74.1 NH White 24.93123
3526 97430 male 32 174.5 101.6 Mexican 33.36590
3527 97431 female 11 157.2 41.9 NH Asian 16.95544
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3529 97433 female 4 103.8 20.9 NH White 19.39776
3530 97434 female 0 NA 8.2 NH Black NA
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3536 97440 female 7 131.7 27.8 NH White 16.02778
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3541 97445 male 51 178.6 96.9 NH Black 30.37812
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3549 97455 female 80 154.9 84.7 NH White 35.30048
3550 97456 female 38 169.7 76.3 NH Black 26.49481
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3552 97458 female 35 171.1 101.7 NH White 34.73929
3553 97459 male 1 NA 10.2 NH White NA
3554 97460 female 61 164.8 60.0 NH Black 22.09209
3555 97461 female 5 117.7 22.7 NH Black 16.38600
3556 97462 male 50 167.7 84.2 Other Hispanic 29.93960
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3558 97464 male 55 175.1 122.1 NH White 39.82386
3559 97465 male 38 183.2 94.4 Mexican 28.12685
3560 97466 female 4 106.5 17.0 Mexican 14.98821
3561 97467 female 9 144.8 32.8 Mexican 15.64360
3562 97468 male 46 175.0 69.6 NH White 22.72653
3563 97469 female 28 156.3 62.0 NH Black 25.37895
3564 97470 female 8 131.0 23.7 NH Black 13.81038
3565 97471 female 80 154.5 67.0 NH White 28.06841
3566 97472 male 57 170.1 62.7 NH Asian 21.67000
3567 97473 male 53 166.0 58.1 NH Asian 21.08434
3568 97474 male 20 171.4 98.3 NH White 33.46046
3569 97475 male 11 154.4 38.5 Mexican 16.14976
3570 97476 female 0 NA 9.4 Mexican NA
3571 97477 female 11 147.2 36.7 Mexican 16.93754
3572 97478 female 47 159.6 76.1 Mexican 29.87575
3573 97479 female 2 87.6 13.5 Mexican 17.59242
3574 97480 female 0 NA 6.0 Other/Mixed NA
3575 97481 male 80 160.0 78.7 Mexican 30.74219
3576 97482 female 70 160.7 130.0 NH White 50.33981
3577 97483 male 19 179.0 112.0 NH White 34.95521
3578 97484 male 56 183.0 96.8 NH Black 28.90501
3579 97485 female 33 168.2 66.5 NH White 23.50551
3580 97486 female 69 156.4 94.1 NH Black 38.46946
3581 97487 female 53 145.3 59.7 NH Asian 28.27764
3582 97488 female 80 163.0 119.6 NH White 45.01487
3583 97489 female 2 89.3 11.2 NH White 14.04479
3584 97490 male 17 167.4 66.9 NH White 23.87345
3585 97491 female 4 99.7 16.1 Other Hispanic 16.19704
3586 97492 male 45 179.3 70.2 NH White 21.83617
3587 97493 female 2 87.8 11.5 Other/Mixed 14.91794
3588 97494 female 9 130.7 25.7 Other/Mixed 15.04465
3589 97495 female 43 162.2 168.9 NH Black 64.19895
3590 97496 female 11 146.8 66.4 NH White 30.81172
3591 97497 male 24 178.2 84.6 NH Black 26.64127
3592 97498 female 11 155.8 57.5 Mexican 23.68825
3593 97499 female 4 111.2 19.7 NH Black 15.93150
3594 97500 female 74 154.5 144.7 NH Black 60.61939
3595 97501 female 54 163.8 95.6 Other Hispanic 35.63117
3596 97503 male 9 143.4 40.9 NH White 19.88955
3597 97504 male 10 144.7 34.0 NH White 16.23835
3598 97505 male 73 153.8 60.9 NH White 25.74570
3599 97506 male 69 170.9 81.2 Other/Mixed 27.80174
3600 97507 female 20 154.9 51.9 Other Hispanic 21.63040
3601 97509 female 47 160.7 101.0 NH White 39.11016
3602 97510 female 61 166.1 98.7 NH Black 35.77486
3603 97511 male 4 113.4 23.6 NH Black 18.35211
3604 97512 male 80 172.4 69.4 NH White 23.34990
3605 97513 male 54 181.8 117.8 NH Black 35.64163
3606 97514 female 7 114.9 19.8 NH White 14.99772
3607 97516 female 62 160.1 80.3 Other Hispanic 31.32802
3608 97517 male 16 179.0 63.4 NH White 19.78715
3609 97518 male 80 169.2 73.8 NH White 25.77838
3610 97520 female 57 163.2 123.4 NH Black 46.33134
3611 97521 male 53 178.4 151.1 Mexican 47.47607
3612 97522 female 20 161.6 57.1 Mexican 21.86520
3613 97523 male 80 160.6 73.0 NH White 28.30295
3614 97524 female 44 173.8 61.1 NH White 20.22747
3615 97525 female 11 159.5 46.1 NH Black 18.12089
3616 97526 female 33 157.0 71.7 NH White 29.08840
3617 97527 male 63 182.7 106.5 NH Black 31.90601
3618 97529 female 5 113.1 19.6 Mexican 15.32254
3619 97530 female 11 153.6 40.3 NH White 17.08137
3620 97531 female 23 166.1 86.2 Other Hispanic 31.24410
3621 97532 male 28 176.4 68.6 NH Black 22.04586
3622 97533 male 30 176.8 73.3 NH Asian 23.44982
3623 97534 male 0 NA 9.1 NH Black NA
3624 97535 female 63 156.7 72.6 Other Hispanic 29.56641
3625 97536 male 80 165.2 71.0 NH White 26.01586
3626 97537 female 39 169.2 103.6 Other Hispanic 36.18754
3627 97538 female 54 154.1 79.7 Other Hispanic 33.56240
3628 97539 male 41 180.1 118.3 NH White 36.47181
3629 97540 female 2 93.9 15.8 Other Hispanic 17.91950
3630 97541 male 38 NA NA NH Black NA
3631 97542 female 7 128.4 27.9 Mexican 16.92288
3632 97543 male 0 NA 8.0 NH White NA
3633 97544 male 19 174.7 94.9 NH Black 31.09427
3634 97545 female 12 150.3 82.4 NH White 36.47617
3635 97546 male 5 111.4 21.5 NH White 17.32479
3636 97547 female 11 163.4 62.4 NH Black 23.37117
3637 97548 female 50 151.9 56.3 Other/Mixed 24.40017
3638 97549 female 13 161.4 70.0 NH Black 26.87144
3639 97550 female 47 163.5 63.1 NH White 23.60445
3640 97551 female 13 162.1 54.6 Other/Mixed 20.77909
3641 97553 female 0 NA 10.2 NH Black NA
3642 97554 male 49 175.0 77.9 NH White 25.43673
3643 97555 female 48 160.3 76.5 Mexican 29.77107
3644 97556 male 1 NA 12.6 NH White NA
3645 97557 female 64 156.9 77.2 NH White 31.35966
3646 97558 female 56 161.8 65.0 NH White 24.82883
3647 97559 male 0 NA 10.3 NH Black NA
3648 97560 male 55 173.0 79.3 Mexican 26.49604
3649 97561 male 46 176.4 100.7 NH Black 32.36177
3650 97562 male 8 131.1 24.2 NH White 14.08024
3651 97563 female 61 146.8 56.0 Mexican 25.98579
3652 97564 male 15 180.2 105.6 NH White 32.52029
3653 97565 male 0 NA 9.4 NH White NA
3654 97566 male 0 NA 5.0 Other Hispanic NA
3655 97567 female 1 NA 10.1 Other/Mixed NA
3656 97568 male 41 167.8 90.2 Other Hispanic 32.03484
3657 97569 male 42 182.8 98.2 NH Black 29.38726
3658 97570 female 50 165.9 84.1 NH Asian 30.55647
3659 97571 male 54 175.8 57.0 NH White 18.44324
3660 97572 male 50 180.6 95.0 NH White 29.12649
3661 97573 female 62 158.8 61.8 NH Asian 24.50685
3662 97574 female 44 153.7 53.8 NH Asian 22.77375
3663 97575 female 24 169.6 53.8 NH White 18.70383
3664 97576 male 32 168.0 103.0 Mexican 36.49376
3665 97577 female 56 147.3 65.2 NH White 30.04984
3666 97578 male 41 157.8 62.9 Mexican 25.26019
3667 97579 female 2 84.7 10.5 NH White 14.63600
3668 97580 male 26 167.1 71.6 Mexican 25.64249
3669 97582 male 63 175.3 85.7 Mexican 27.88798
3670 97583 female 9 128.6 22.1 Mexican 13.36320
3671 97584 female 15 167.3 102.3 NH Black 36.54969
3672 97585 male 21 168.4 75.4 NH White 26.58809
3673 97586 female 8 137.4 34.5 NH White 18.27451
3674 97587 female 8 135.8 37.3 Mexican 20.22597
3675 97588 male 56 174.7 73.5 NH Asian 24.08250
3676 97589 female 19 153.0 57.4 Other Hispanic 24.52048
3677 97591 male 29 166.3 67.3 NH White 24.33496
3678 97592 male 63 175.4 76.5 NH Asian 24.86579
3679 97593 female 60 166.7 120.2 NH Black 43.25470
3680 97594 female 56 157.5 48.8 NH Asian 19.67246
3681 97595 male 36 179.1 57.9 Other/Mixed 18.05042
3682 97597 female 77 163.4 69.9 NH Black 26.18021
3683 97598 female 40 158.0 84.0 Mexican 33.64845
3684 97599 male 1 NA 11.0 NH Black NA
3685 97600 female 23 156.3 62.8 NH Asian 25.70643
3686 97601 female 22 161.8 97.2 Other Hispanic 37.12866
3687 97602 female 40 173.8 92.3 NH Black 30.55640
3688 97604 male 2 90.2 12.8 NH Asian 15.73247
3689 97605 female 67 162.8 65.6 NH White 24.75113
3690 97606 female 80 152.3 57.3 NH Black 24.70329
3691 97607 male 16 159.6 60.1 Mexican 23.59439
3692 97608 male 79 172.2 71.7 NH Asian 24.17981
3693 97609 male 66 166.9 69.9 Other/Mixed 25.09369
3694 97610 male 28 176.5 77.9 Other Hispanic 25.00622
3695 97611 male 68 181.2 81.7 Other/Mixed 24.88317
3696 97612 male 0 NA 4.2 NH White NA
3697 97613 female 7 115.7 27.6 Mexican 20.61780
3698 97614 female 3 100.9 17.1 NH Black 16.79631
3699 97616 female 2 88.2 12.4 NH White 15.93986
3700 97617 male 30 176.0 56.8 NH Black 18.33678
3701 97618 male 64 178.1 94.9 Mexican 29.91840
3702 97619 male 65 171.7 89.7 NH White 30.42649
3703 97620 female 41 158.6 115.2 Other/Mixed 45.79796
3704 97621 female 19 163.6 54.7 NH Black 20.43717
3705 97622 male 8 144.7 52.1 Mexican 24.88288
3706 97623 female 71 157.9 76.6 NH Asian 30.72306
3707 97624 female 32 146.8 43.6 NH Asian 20.23179
3708 97625 male 13 165.0 87.3 NH White 32.06612
3709 97626 female 73 149.7 67.4 NH White 30.07574
3710 97627 female 34 175.9 161.4 NH White 52.16412
3711 97628 male 0 NA 9.1 NH White NA
3712 97629 female 33 163.5 59.7 NH White 22.33258
3713 97630 female 78 166.6 80.9 NH White 29.14731
3714 97631 female 18 165.6 100.0 NH Black 36.46526
3715 97632 male 11 152.7 79.3 NH Black 34.00910
3716 97634 male 0 NA 4.8 Mexican NA
3717 97635 female 56 151.6 67.8 Other Hispanic 29.50063
3718 97636 female 0 NA 4.6 NH White NA
3719 97637 female 1 NA 9.5 NH Black NA
3720 97638 male 51 176.5 81.1 NH Black 26.03343
3721 97639 male 60 NA NA NH White NA
3722 97640 male 41 168.4 95.7 Mexican 33.74642
3723 97641 female 49 161.9 64.2 NH White 24.49296
3724 97642 male 74 167.0 97.3 NH White 34.88831
3725 97643 female 40 164.1 104.9 NH White 38.95456
3726 97644 male 24 174.0 128.1 Other Hispanic 42.31074
3727 97645 male 1 NA 13.4 Other Hispanic NA
3728 97646 female 9 137.0 29.1 Mexican 15.50429
3729 97647 female 14 148.9 49.5 NH Asian 22.32625
3730 97648 female 32 164.8 126.3 NH White 46.50385
3731 97650 female 69 157.0 75.0 NH Black 30.42720
3732 97651 female 15 144.6 67.3 Other Hispanic 32.18685
3733 97652 male 17 171.2 61.9 NH White 21.11948
3734 97653 female 2 NA 13.1 NH White NA
3735 97654 female 2 97.3 17.0 NH Asian 17.95656
3736 97655 male 0 NA 8.7 NH White NA
3737 97656 male 60 188.0 130.6 NH Asian 36.95111
3738 97657 female 60 162.1 54.1 NH White 20.58881
3739 97658 female 5 116.9 25.6 NH White 18.73316
3740 97659 male 46 161.1 72.3 Other Hispanic 27.85783
3741 97660 female 5 116.4 25.3 NH White 18.67302
3742 97661 female 38 NA 94.0 NH Black NA
3743 97662 male 73 163.1 69.3 NH White 26.05105
3744 97663 male 2 87.0 14.9 Mexican 19.68556
3745 97665 female 2 92.8 14.3 NH White 16.60505
3746 97666 male 69 166.9 91.5 NH Black 32.84796
3747 97667 female 62 158.6 110.2 NH Black 43.81020
3748 97668 male 77 174.7 170.8 NH White 55.96314
3749 97669 female 15 164.1 71.2 NH White 26.44008
3750 97670 female 27 167.0 89.1 Other/Mixed 31.94808
3751 97671 female 20 145.9 70.8 Other Hispanic 33.26003
3752 97672 female 45 150.4 75.2 Mexican 33.24468
3753 97673 male 0 NA 8.0 NH White NA
3754 97674 female 9 143.9 41.8 Mexican 20.18621
3755 97675 female 41 164.9 71.0 NH Black 26.11061
3756 97676 male 63 160.8 68.7 NH Asian 26.56958
3757 97677 male 7 121.8 23.3 NH Black 15.70585
3758 97678 male 11 152.3 61.2 Other/Mixed 26.38467
3759 97679 female 4 115.1 19.7 NH Asian 14.87016
3760 97680 male 0 NA 7.1 Mexican NA
3761 97681 male 5 118.2 21.3 Mexican 15.24560
3762 97683 female 49 155.0 66.2 Mexican 27.55463
3763 97684 female 47 162.7 134.5 NH White 50.80976
3764 97685 male 23 167.9 110.5 Other Hispanic 39.19773
3765 97686 female 8 134.4 34.2 Mexican 18.93335
3766 97688 female 56 156.2 105.5 NH Black 43.24047
3767 97689 male 60 168.3 98.1 NH White 34.63385
3768 97690 female 2 NA 14.5 Other Hispanic NA
3769 97691 female 29 163.0 84.3 NH Black 31.72871
3770 97692 male 31 166.5 77.2 Other Hispanic 27.84767
3771 97693 male 80 NA 61.9 NH Black NA
3772 97694 female 19 163.0 95.5 NH White 35.94415
3773 97695 female 52 155.0 69.0 NH Asian 28.72008
3774 97696 male 15 181.5 80.1 Other/Mixed 24.31528
3775 97697 male 67 192.9 82.9 NH Black 22.27871
3776 97698 female 47 NA NA Other Hispanic NA
3777 97699 female 55 156.9 65.6 Mexican 26.64759
3778 97700 female 5 105.5 18.2 Other Hispanic 16.35183
3779 97701 male 42 184.9 142.9 NH White 41.79828
3780 97702 female 21 169.3 90.4 NH Black 31.53948
3781 97703 male 35 159.1 92.1 Other Hispanic 36.38474
3782 97704 female 54 150.8 83.2 NH Black 36.58648
3783 97705 female 33 170.2 69.4 NH Black 23.95744
3784 97706 male 50 171.6 90.8 Mexican 30.83552
3785 97707 female 6 126.1 27.0 Other Hispanic 16.97984
3786 97708 male 76 168.9 87.5 NH Black 30.67247
3787 97709 female 22 160.3 84.2 NH White 32.76763
3788 97710 female 5 105.4 15.9 NH Black 14.31251
3789 97711 female 80 146.9 49.7 NH White 23.03100
3790 97712 female 69 167.1 92.0 NH Black 32.94845
3791 97713 female 80 165.9 65.5 NH Black 23.79844
3792 97714 male 47 164.9 87.2 Other/Mixed 32.06824
3793 97715 male 11 153.2 41.3 NH White 17.59675
3794 97716 female 29 170.2 65.9 NH White 22.74921
3795 97717 male 12 174.7 95.1 NH White 31.15980
3796 97719 male 80 168.9 77.5 Other/Mixed 27.16705
3797 97720 male 15 183.8 86.4 NH White 25.57542
3798 97721 female 1 NA 13.2 NH White NA
3799 97722 female 24 168.3 55.9 NH Black 19.73529
3800 97723 female 19 165.3 75.8 Mexican 27.74109
3801 97724 male 80 175.0 NA NH White NA
3802 97725 female 1 NA 10.9 Mexican NA
3803 97726 female 39 155.0 70.4 Mexican 29.30281
3804 97727 male 53 190.8 164.8 NH Black 45.26895
3805 97728 male 79 179.5 69.8 NH White 21.66339
3806 97729 female 16 159.4 109.6 NH White 43.13541
3807 97730 female 19 153.9 38.6 Other Hispanic 16.29709
3808 97731 female 1 NA 9.6 Other/Mixed NA
3809 97732 female 10 147.2 40.9 Mexican 18.87590
3810 97733 female 0 NA 9.1 Mexican NA
3811 97734 male 1 NA 12.2 NH White NA
3812 97735 male 30 176.4 107.2 Mexican 34.45067
3813 97736 male 9 138.8 33.0 NH Black 17.12912
3814 97737 male 57 177.1 72.9 NH White 23.24290
3815 97738 female 1 NA 10.3 NH Asian NA
3816 97739 female 36 161.4 49.0 NH Black 18.81001
3817 97740 female 52 168.6 82.0 Other/Mixed 28.84687
3818 97741 female 36 160.1 58.5 NH White 22.82302
3819 97742 female 12 162.1 58.5 NH Black 22.26332
3820 97744 male 55 177.0 66.2 NH Asian 21.13058
3821 97745 male 66 166.8 64.7 NH White 23.25478
3822 97746 male 71 182.0 85.5 NH White 25.81210
3823 97747 male 47 166.6 72.4 NH Black 26.08486
3824 97748 female 50 161.2 57.6 NH Asian 22.16626
3825 97749 male 0 NA 8.4 Other/Mixed NA
3826 97750 male 67 173.9 86.2 NH Black 28.50415
3827 97751 female 54 152.7 62.6 Other Hispanic 26.84703
3828 97752 male 77 173.2 114.9 NH White 38.30225
3829 97753 male 62 195.5 150.6 NH White 39.40320
3830 97754 male 12 155.6 38.9 NH White 16.06684
3831 97755 female 13 154.2 47.0 NH White 19.76647
3832 97756 female 23 160.9 154.6 Mexican 59.71692
3833 97757 male 0 NA 5.5 Other Hispanic NA
3834 97758 female 54 153.9 102.9 NH Black 43.44483
3835 97759 female 10 NA NA NH Black NA
3836 97760 female 55 154.9 100.2 Other Hispanic 41.76042
3837 97761 female 56 165.0 68.8 NH Black 25.27089
3838 97762 female 50 166.3 93.0 NH White 33.62780
3839 97763 female 21 167.7 53.3 NH White 18.95226
3840 97764 male 45 171.8 74.6 NH Black 25.27508
3841 97765 female 53 156.2 59.3 NH Asian 24.30483
3842 97766 male 65 188.4 113.4 Other/Mixed 31.94856
3843 97768 female 56 161.7 73.3 Other/Mixed 28.03393
3844 97769 male 80 160.6 70.3 NH White 27.25613
3845 97770 female 61 162.3 111.6 NH White 42.36695
3846 97771 female 31 175.6 131.7 NH White 42.71071
3847 97772 male 16 163.5 76.6 NH Black 28.65453
3848 97773 female 26 169.0 83.9 NH Black 29.37572
3849 97774 male 33 158.5 51.0 Mexican 20.30073
3850 97775 male 67 169.3 76.4 Other/Mixed 26.65505
3851 97776 female 58 149.4 74.1 Other Hispanic 33.19839
3852 97777 male 60 174.6 85.3 NH Black 27.98083
3853 97778 female 14 158.7 49.6 NH White 19.69372
3854 97779 female 46 158.7 82.3 NH Black 32.67729
3855 97780 female 0 NA 9.1 NH Black NA
3856 97781 female 6 124.9 27.3 NH Asian 17.49999
3857 97782 female 39 171.0 72.6 NH Black 24.82815
3858 97783 female 46 163.8 124.6 NH Black 46.43979
3859 97784 male 31 175.0 82.4 NH White 26.90612
3860 97785 female 16 165.6 71.2 NH White 25.96327
3861 97786 male 13 166.3 54.1 NH Asian 19.56198
3862 97787 male 52 176.6 72.9 Other/Mixed 23.37470
3863 97788 male 73 158.3 74.0 Other/Mixed 29.53044
3864 97789 female 0 NA 8.5 NH White NA
3865 97790 male 60 168.5 82.6 Mexican 29.09245
3866 97791 male 11 143.4 33.8 NH Black 16.43684
3867 97792 male 14 172.1 114.4 NH Black 38.62463
3868 97793 male 19 185.6 78.4 NH Asian 22.75936
3869 97794 female 45 166.6 67.8 NH Asian 24.42754
3870 97795 female 33 161.4 62.1 NH White 23.83881
3871 97796 female 13 165.9 74.7 Mexican 27.14112
3872 97797 female 15 157.3 55.9 Mexican 22.59198
3873 97798 male 17 178.4 93.4 NH Asian 29.34656
3874 97799 male 18 176.6 85.8 Other/Mixed 27.51097
3875 97800 male 17 167.5 83.4 NH Asian 29.72600
3876 97801 male 80 179.3 81.2 NH White 25.25780
3877 97802 male 71 170.1 99.4 NH White 34.35404
3878 97803 male 5 116.9 21.1 NH Asian 15.44022
3879 97804 male 4 103.7 15.9 NH Asian 14.78562
3880 97805 male 16 170.6 65.5 NH White 22.50522
3881 97806 female 18 165.3 61.0 NH White 22.32462
3882 97807 male 11 155.4 67.1 Mexican 27.78565
3883 97808 female 1 NA 10.8 NH White NA
3884 97809 male 71 186.5 130.9 Other/Mixed 37.63414
3885 97810 male 57 187.5 87.4 Other/Mixed 24.86044
3886 97811 female 26 154.5 75.6 NH Black 31.67122
3887 97812 male 10 138.8 36.8 NH White 19.10156
3888 97813 female 60 165.0 88.2 NH White 32.39669
3889 97815 male 0 NA 10.2 NH White NA
3890 97816 male 9 133.8 32.6 NH White 18.20981
3891 97817 female 64 154.1 45.8 NH Asian 19.28680
3892 97818 female 0 NA 4.3 Mexican NA
3893 97819 female 13 155.9 76.2 NH White 31.35182
3894 97820 female 2 86.5 12.2 Mexican 16.30526
3895 97821 female 7 123.5 29.9 Other Hispanic 19.60367
3896 97822 female 42 162.6 70.2 NH Black 26.55193
3897 97823 male 29 171.9 90.0 Other Hispanic 30.45725
3898 97824 male 3 97.2 13.6 Other Hispanic 14.39482
3899 97825 male 18 174.7 78.5 NH White 25.72076
3900 97827 male 50 171.1 80.2 NH Asian 27.39519
3901 97828 male 74 162.1 67.6 Mexican 25.72650
3902 97829 male 24 175.7 191.3 NH Black 61.96857
3903 97830 male 60 174.3 108.0 NH White 35.54913
3904 97832 male 73 165.1 75.8 NH White 27.80834
3905 97833 male 3 108.0 19.9 NH White 17.06104
3906 97834 male 1 NA 12.2 NH White NA
3907 97835 female 49 158.8 84.9 NH Black 33.66718
3908 97836 female 11 164.2 43.2 NH Black 16.02276
3909 97837 male 0 NA 9.9 NH White NA
3910 97838 female 8 137.3 34.0 Other/Mixed 18.03590
3911 97839 female 13 171.7 111.9 Mexican 37.95679
3912 97840 male 32 169.7 73.5 NH Asian 25.52253
3913 97841 female 44 165.5 91.6 NH White 33.44256
3914 97842 male 1 NA 16.0 Mexican NA
3915 97843 male 11 147.0 35.8 NH Black 16.56717
3916 97845 male 47 173.4 89.0 Other/Mixed 29.60001
3917 97846 female 9 143.0 43.1 NH White 21.07683
3918 97847 female 65 158.8 58.7 NH White 23.27754
3919 97848 female 30 158.9 53.5 NH Black 21.18878
3920 97849 male 5 114.6 24.1 NH White 18.35050
3921 97850 female 64 148.3 82.4 Other Hispanic 37.46665
3922 97851 male 23 172.6 77.0 NH Black 25.84694
3923 97852 female 11 150.7 52.5 Other/Mixed 23.11707
3924 97853 female 20 159.0 66.2 NH Asian 26.18567
3925 97854 male 0 NA 9.5 Mexican NA
3926 97855 male 9 140.6 29.8 NH White 15.07459
3927 97856 male 6 120.4 20.9 NH White 14.41761
3928 97857 male 0 NA 8.2 NH White NA
3929 97859 male 60 166.6 61.7 NH Asian 22.22978
3930 97860 male 3 105.5 17.3 NH White 15.54323
3931 97861 female 47 162.3 85.3 NH White 32.38262
3932 97862 male 19 176.5 60.6 NH Black 19.45285
3933 97863 male 13 175.7 96.2 NH White 31.16245
3934 97865 male 10 137.8 45.4 NH White 23.90878
3935 97866 male 39 177.5 113.8 NH White 36.11982
3936 97867 female 6 121.5 31.6 NH White 21.40595
3937 97869 female 80 170.2 85.2 NH White 29.41172
3938 97870 female 8 138.2 35.1 NH Black 18.37769
3939 97871 female 64 148.4 79.8 Other Hispanic 36.23557
3940 97874 female 55 154.4 67.3 NH White 28.23062
3941 97875 female 7 126.2 25.4 Other Hispanic 15.94832
3942 97876 male 58 168.8 86.1 NH White 30.21748
3943 97877 female 29 147.9 54.7 NH Black 25.00639
3944 97878 female 49 163.2 82.3 NH Black 30.90007
3945 97879 female 4 119.9 24.7 Other/Mixed 17.18140
3946 97880 male 0 NA 10.8 NH Black NA
3947 97881 male 13 166.0 59.2 NH White 21.48352
3948 97882 female 18 162.6 83.0 Mexican 31.39330
3949 97883 female 71 166.7 71.6 NH White 25.76569
3950 97884 male 3 99.8 17.3 NH Black 17.36941
3951 97885 male 0 NA 5.7 Other/Mixed NA
3952 97886 female 54 159.5 53.2 NH Asian 20.91174
3953 97888 male 0 NA 6.3 NH White NA
3954 97889 male 10 141.0 32.7 NH White 16.44786
3955 97890 female 11 142.4 39.4 Mexican 19.43015
3956 97891 male 69 169.4 67.0 NH Asian 23.34791
3957 97892 female 15 151.4 55.7 NH Black 24.29984
3958 97894 female 67 161.4 83.2 Other Hispanic 31.93863
3959 97895 male 63 179.3 74.2 NH White 23.08040
3960 97896 female 57 157.2 54.6 Other/Mixed 22.09467
3961 97897 male 58 168.2 116.6 NH Asian 41.21417
3962 97898 male 11 NA NA NH White NA
3963 97899 male 29 180.6 113.5 NH Black 34.79849
3964 97900 male 1 NA 8.7 NH White NA
3965 97901 male 45 181.0 80.2 NH White 24.48033
3966 97902 male 62 173.8 82.6 Other Hispanic 27.34516
3967 97903 female 78 161.1 88.4 NH White 34.06130
3968 97904 male 34 176.1 83.8 NH Black 27.02249
3969 97905 female 64 163.6 84.0 NH Black 31.38432
3970 97906 male 7 133.5 37.8 NH Black 21.20944
3971 97907 male 0 NA 8.2 NH White NA
3972 97908 male 62 167.0 78.2 NH White 28.03973
3973 97909 female 45 161.7 89.4 NH Asian 34.19145
3974 97910 male 12 159.4 42.8 NH White 16.84485
3975 97911 female 10 140.3 55.1 NH Black 27.99215
3976 97912 male 2 98.6 17.9 Other Hispanic 18.41193
3977 97914 female 6 118.3 25.5 NH Black 18.22094
3978 97915 female 42 155.9 69.8 Mexican 28.71860
3979 97916 female 73 151.0 110.6 NH White 48.50664
3980 97917 female 0 NA 9.6 NH White NA
3981 97918 female 18 165.0 69.4 NH Asian 25.49128
3982 97919 female 70 164.6 65.6 NH Black 24.21275
3983 97920 female 0 NA 4.9 NH White NA
3984 97921 female 6 113.6 19.3 NH White 14.95549
3985 97922 male 9 126.2 25.3 Mexican 15.88553
3986 97923 female 43 160.5 50.0 NH White 19.40975
3987 97924 male 41 174.2 67.2 NH White 22.14486
3988 97925 female 14 160.4 61.1 NH White 23.74830
3989 97926 male 80 169.1 73.9 NH White 25.84385
3990 97927 female 10 143.9 48.4 Other Hispanic 23.37350
3991 97928 male 56 183.5 87.4 Mexican 25.95609
3992 97929 female 76 163.9 79.9 NH White 29.74328
3993 97930 male 32 174.5 88.4 Other/Mixed 29.03096
3994 97931 female 16 156.1 58.2 Mexican 23.88456
3995 97933 male 14 168.7 94.6 Mexican 33.24000
3996 97934 male 25 171.7 72.3 NH White 24.52436
3997 97935 male 22 169.6 61.9 Other Hispanic 21.51984
3998 97937 female 61 158.6 47.9 NH Asian 19.04273
3999 97938 male 35 167.8 242.6 NH Black 86.16024
4000 97939 female 1 NA 13.6 NH White NA
4001 97940 male 29 177.9 77.3 NH Asian 24.42461
4002 97941 female 28 158.8 69.8 Mexican 27.67926
4003 97943 female 19 158.7 96.1 NH White 38.15659
4004 97944 female 63 153.9 62.2 NH White 26.26111
4005 97945 female 28 146.2 65.3 Mexican 30.55051
4006 97946 female 34 163.0 82.7 NH White 31.12650
4007 97947 female 80 160.4 74.7 NH White 29.03433
4008 97948 female 32 172.9 55.3 NH White 18.49844
4009 97949 female 30 161.8 58.7 NH White 22.42235
4010 97950 female 69 159.6 71.0 NH Black 27.87357
4011 97951 female 24 153.0 50.4 NH Asian 21.53018
4012 97952 male 57 166.5 75.6 NH Asian 27.27051
4013 97953 female 7 142.5 33.2 Other/Mixed 16.34965
4014 97954 female 67 149.4 79.4 Mexican 35.57290
4015 97955 male 65 171.5 80.9 NH White 27.50555
4016 97956 male 80 165.4 79.8 NH White 29.16969
4017 97957 male 0 NA 5.1 NH White NA
4018 97958 female 24 165.0 92.6 NH Black 34.01286
4019 97959 male 80 NA NA NH White NA
4020 97960 female 27 167.6 79.3 NH Asian 28.23093
4021 97962 male 0 NA 10.5 Other/Mixed NA
4022 97963 male 29 181.7 87.4 NH White 26.47290
4023 97964 male 74 174.8 88.9 NH Black 29.09504
4024 97965 male 32 182.0 143.4 NH Asian 43.29187
4025 97966 female 54 169.1 73.7 NH White 25.77391
4026 97967 female 40 151.1 62.3 Mexican 27.28721
4027 97969 female 62 152.1 79.9 Mexican 34.53730
4028 97970 female 61 155.1 79.2 NH Black 32.92317
4029 97971 male 71 178.6 106.4 NH White 33.35637
4030 97972 female 30 166.3 131.6 NH Black 47.58514
4031 97973 male 64 167.8 78.6 Mexican 27.91506
4032 97974 female 44 141.9 49.3 NH Asian 24.48399
4033 97975 male 4 105.2 18.7 NH White 16.89702
4034 97976 male 62 163.2 75.7 Other Hispanic 28.42206
4035 97977 male 40 180.5 134.4 NH Black 41.25199
4036 97978 female 41 177.2 130.9 NH Black 41.68811
4037 97979 male 14 174.8 53.0 NH White 17.34575
4038 97980 male 78 167.3 76.7 Mexican 27.40334
4039 97981 male 5 112.8 20.8 NH White 16.34727
4040 97982 female 52 159.2 88.3 NH White 34.83971
4041 97983 male 61 165.9 92.3 Other Hispanic 33.53582
4042 97984 male 9 130.5 30.7 NH Asian 18.02675
4043 97985 female 80 164.8 78.2 NH Black 28.79336
4044 97986 female 29 165.6 121.3 NH Black 44.23236
4045 97987 female 58 163.4 57.5 NH White 21.53594
4046 97988 male 14 179.2 76.3 NH Asian 23.76011
4047 97989 female 16 159.9 60.2 NH White 23.54505
4048 97991 male 18 164.4 62.6 NH Asian 23.16171
4049 97992 male 6 117.7 20.4 NH Asian 14.72574
4050 97993 female 16 152.4 50.1 NH White 21.57088
4051 97994 male 0 NA 11.4 Other/Mixed NA
4052 97995 male 47 172.8 89.3 Mexican 29.90639
4053 97996 female 75 143.3 53.8 NH Asian 26.19931
4054 97997 female 70 153.5 74.9 NH White 31.78814
4055 97998 female 4 112.0 21.2 Mexican 16.90051
4056 97999 female 80 157.3 97.5 NH Black 39.40462
4057 98000 female 7 116.4 21.6 NH White 15.94218
4058 98001 male 16 165.5 68.2 Mexican 24.89937
4059 98002 male 16 168.2 57.9 NH Black 20.46570
4060 98004 female 17 161.5 68.0 NH Black 26.07137
4061 98005 male 67 175.5 86.5 NH White 28.08419
4062 98006 male 36 185.4 86.7 NH Black 25.22317
4063 98007 male 31 172.6 74.7 NH Black 25.07489
4064 98008 female 80 157.8 69.5 NH White 27.91071
4065 98009 male 57 169.1 61.2 NH White 21.40249
4066 98010 female 27 152.9 52.0 NH Asian 22.24274
4067 98011 male 3 100.7 15.0 NH Black 14.79218
4068 98012 male 13 155.1 62.7 NH Asian 26.06417
4069 98013 female 4 103.7 17.7 Mexican 16.45947
4070 98014 female 59 170.2 103.8 NH White 35.83259
4071 98015 male 49 175.5 73.4 NH Black 23.83098
4072 98016 female 69 166.3 82.0 NH Black 29.65032
4073 98017 female 0 NA 6.4 NH White NA
4074 98018 male 22 179.6 68.1 NH Black 21.11225
4075 98019 male 80 180.5 94.2 Other/Mixed 28.91322
4076 98020 male 0 NA 9.2 Other/Mixed NA
4077 98021 female 9 136.5 37.6 NH Black 20.18006
4078 98022 female 18 162.4 62.5 NH Black 23.69780
4079 98023 female 37 153.7 84.9 NH Black 35.93850
4080 98024 female 61 155.5 98.0 Other Hispanic 40.52894
4081 98025 male 15 173.5 64.5 NH Black 21.42697
4082 98026 female 4 102.5 17.5 NH White 16.65675
4083 98027 male 6 130.9 23.8 NH Asian 13.88985
4084 98028 female 34 155.7 80.1 NH White 33.04116
4085 98029 female 66 155.9 57.5 NH Asian 23.65787
4086 98030 female 24 150.9 55.6 NH Black 24.41723
4087 98031 male 31 183.3 105.5 Other/Mixed 31.39985
4088 98032 male 72 177.9 81.0 NH White 25.59370
4089 98033 female 42 168.3 76.0 NH Black 26.83153
4090 98034 male 43 176.1 97.6 NH Black 31.47249
4091 98035 female 35 163.6 85.2 Mexican 31.83266
4092 98036 female 38 155.6 79.3 NH Asian 32.75322
4093 98037 female 6 112.5 16.9 Mexican 13.35309
4094 98038 female 15 155.2 46.0 NH Asian 19.09741
4095 98039 male 1 NA 11.0 NH Black NA
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4097 98041 female 55 152.4 83.6 Mexican 35.99452
4098 98042 male 8 141.5 38.3 NH White 19.12872
4099 98043 male 61 177.6 85.8 NH Black 27.20203
4100 98044 male 12 150.5 36.5 NH Black 16.11461
4101 98045 female 40 160.9 64.6 NH Asian 24.95287
4102 98046 female 49 164.8 103.1 NH White 37.96158
4103 98047 male 53 174.0 84.2 Mexican 27.81081
4104 98048 female 30 159.4 53.2 NH Asian 20.93799
4105 98049 male 67 170.8 70.4 NH Asian 24.13220
4106 98051 male 9 134.3 28.9 NH White 16.02307
4107 98052 female 26 163.9 69.7 NH Black 25.94627
4108 98054 male 43 185.8 NA NH White NA
4109 98055 female 0 NA 9.1 Mexican NA
4110 98056 female 34 164.6 91.9 NH White 33.92000
4111 98057 male 21 175.1 134.0 Mexican 43.70514
4112 98058 female 80 NA NA Mexican NA
4113 98059 female 0 NA 5.8 NH White NA
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4115 98061 male 19 178.5 74.1 NH Black 23.25636
4116 98062 female 80 157.6 79.9 NH White 32.16876
4117 98063 female 3 93.2 14.4 Other Hispanic 16.57794
4118 98065 female 29 160.3 51.2 Other/Mixed 19.92521
4119 98066 male 19 176.9 67.0 Mexican 21.41012
4120 98068 female 14 153.8 50.9 Mexican 21.51816
4121 98069 female 2 85.8 11.4 NH White 15.48568
4122 98070 male 4 108.9 15.4 NH Black 12.98569
4123 98071 female 61 167.3 66.2 NH White 23.65190
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4125 98073 female 23 143.9 40.4 Other Hispanic 19.51011
4126 98074 male 2 89.2 14.7 Mexican 18.47514
4127 98075 female 66 175.0 74.2 NH White 24.22857
4128 98076 female 2 90.9 13.5 NH White 16.33827
4129 98077 male 31 175.5 77.5 NH White 25.16213
4130 98079 male 11 150.4 37.4 Other/Mixed 16.53392
4131 98080 male 5 118.1 19.9 NH Black 14.26768
4132 98081 male 56 163.5 62.4 NH Black 23.34259
4133 98082 female 46 164.0 93.8 NH White 34.87507
4134 98083 female 54 161.2 59.3 NH Black 22.82047
4135 98084 female 80 NA NA NH White NA
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4137 98087 female 74 152.2 62.6 NH White 27.02371
4138 98088 male 33 179.0 96.4 NH White 30.08645
4139 98089 male 7 129.1 27.8 NH Asian 16.67986
4140 98090 female 11 147.4 53.0 NH Black 24.39388
4141 98091 female 3 102.4 17.7 NH White 16.88004
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4143 98093 male 7 123.8 23.0 NH Asian 15.00675
4144 98094 female 45 155.7 94.2 Mexican 38.85739
4145 98095 female 80 147.6 62.4 NH White 28.64256
4146 98096 female 36 152.4 61.5 Other Hispanic 26.47922
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4148 98098 female 3 109.8 18.4 NH Black 15.26206
4149 98099 male 54 182.2 81.6 NH White 24.58065
4150 98100 male 33 171.3 115.9 NH White 39.49742
4151 98101 male 48 170.4 83.9 NH Asian 28.89501
4152 98102 female 35 157.3 72.0 NH Asian 29.09880
4153 98103 male 37 175.0 71.5 NH Black 23.34694
4154 98104 male 3 98.0 13.0 NH Asian 13.53603
4155 98105 male 1 NA 12.9 Other/Mixed NA
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4157 98107 male 61 173.5 96.2 Mexican 31.95774
4158 98108 male 1 NA 11.5 Other/Mixed NA
4159 98109 male 77 159.9 59.9 NH Asian 23.42771
4160 98110 male 74 179.3 95.4 NH Asian 29.67480
4161 98111 female 19 171.7 84.0 Other/Mixed 28.49303
4162 98112 female 4 91.7 11.5 NH White 13.67600
4163 98113 female 25 167.0 123.5 NH White 44.28269
4164 98114 female 52 159.1 61.4 NH Black 24.25649
4165 98115 female 4 105.0 18.8 Other/Mixed 17.05215
4166 98116 male 5 113.6 26.3 NH White 20.37976
4167 98117 female 8 142.7 39.1 NH Black 19.20122
4168 98118 male 7 125.4 21.2 NH White 13.48158
4169 98119 female 30 168.0 91.6 NH White 32.45465
4170 98120 female 41 165.7 110.8 NH White 40.35476
4171 98121 male 73 173.7 79.5 NH White 26.34920
4172 98122 male 14 171.7 62.1 NH Black 21.06449
4173 98123 male 4 112.9 19.3 Other/Mixed 15.14152
4174 98124 male 31 170.3 71.8 NH White 24.75684
4175 98125 female 76 152.5 59.1 NH White 25.41252
4176 98128 female 9 141.0 41.7 NH Asian 20.97480
4177 98129 female 14 157.9 51.4 NH Asian 20.61574
4178 98130 male 68 167.5 103.3 NH White 36.81889
4179 98131 female 40 157.3 95.3 NH Black 38.51549
4180 98132 male 15 175.4 75.9 Mexican 24.67076
4181 98133 female 80 140.8 59.0 NH White 29.76094
4182 98134 male 62 167.3 66.7 Mexican 23.83054
4183 98135 female 42 163.3 128.5 NH White 48.18710
4184 98136 female 0 NA 8.6 Other/Mixed NA
4185 98137 female 78 155.8 59.3 NH Asian 24.42979
4186 98138 male 40 169.4 85.7 NH Asian 29.86441
4187 98139 male 60 172.6 76.3 Mexican 25.61197
4188 98140 female 2 85.6 12.1 Other/Mixed 16.51345
4189 98141 female 56 149.7 77.8 Mexican 34.71650
4190 98142 male 65 NA NA NH Black NA
4191 98143 female 80 165.5 54.4 NH White 19.86108
4192 98144 female 45 157.1 58.0 NH White 23.50042
4193 98145 female 24 172.6 65.3 NH White 21.91955
4194 98146 male 16 181.3 65.0 NH Black 19.77506
4195 98147 male 29 186.1 99.9 NH White 28.84515
4196 98148 female 37 161.6 56.7 NH White 21.71203
4197 98149 male 15 160.9 49.4 Mexican 19.08160
4198 98150 male 14 166.0 66.2 Other/Mixed 24.02381
4199 98151 female 6 123.1 25.1 Other/Mixed 16.56371
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4201 98153 male 55 154.4 53.8 NH Asian 22.56772
4202 98154 male 7 129.9 35.2 Mexican 20.86048
4203 98155 male 1 NA 10.4 Other/Mixed NA
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4205 98157 female 6 127.2 22.4 NH White 13.84439
4206 98158 male 69 181.6 63.0 NH Black 19.10332
4207 98159 male 0 NA 7.1 Mexican NA
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4209 98161 female 43 161.0 92.1 NH White 35.53104
4210 98162 female 70 149.5 57.0 Other Hispanic 25.50307
4211 98163 female 17 166.4 104.7 Other/Mixed 37.81290
4212 98164 female 14 160.9 67.8 Other/Mixed 26.18892
4213 98165 male 55 177.2 110.2 NH White 35.09572
4214 98167 female 5 117.6 23.9 Other Hispanic 17.28157
4215 98168 female 55 173.6 70.1 Mexican 23.26047
4216 98169 female 28 152.7 75.0 Other Hispanic 32.16497
4217 98170 female 18 162.9 75.1 Mexican 28.30074
4218 98171 female 0 NA 6.7 NH White NA
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4220 98173 female 71 144.2 71.7 Mexican 34.48170
4221 98174 male 48 161.2 98.3 NH Black 37.82888
4222 98175 female 69 149.0 77.3 NH Black 34.81825
4223 98176 male 13 169.6 69.9 NH Black 24.30107
4224 98177 female 15 163.6 58.1 NH White 21.70749
4225 98178 male 47 181.4 87.4 NH White 26.56054
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4230 98183 female 6 107.8 18.7 NH White 16.09178
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4232 98185 female 11 142.8 36.2 NH White 17.75220
4233 98186 female 11 166.4 63.5 NH White 22.93333
4234 98187 female 32 168.2 64.3 Other Hispanic 22.72788
4235 98188 male 10 142.8 31.7 NH White 15.54543
4236 98189 male 43 171.0 68.6 NH White 23.46021
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4243 98196 male 1 NA 8.8 NH White NA
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4245 98198 male 80 166.8 89.7 NH White 32.24039
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4247 98200 female 1 NA 14.7 Mexican NA
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4249 98203 male 35 171.9 81.0 NH White 27.41153
4250 98204 male 60 182.9 72.7 NH White 21.73237
4251 98205 female 80 165.1 83.1 NH White 30.48645
4252 98206 male 1 NA 12.7 NH White NA
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4254 98208 female 39 168.1 65.7 NH White 23.25037
4255 98209 male 58 183.3 90.0 NH White 26.78660
4256 98210 male 17 190.1 76.0 NH Black 21.03049
4257 98211 male 74 170.5 83.9 Other Hispanic 28.86112
4258 98212 female 18 160.8 55.4 NH White 21.42583
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4260 98214 female 37 162.0 75.2 NH Asian 28.65417
4261 98215 female 51 159.1 76.9 NH White 30.37987
4262 98216 male 47 170.9 80.1 Other Hispanic 27.42511
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4264 98219 female 6 118.3 24.2 Other/Mixed 17.29203
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4268 98223 male 52 178.9 112.2 NH Black 35.05679
4269 98224 female 14 153.0 50.7 NH Asian 21.65834
4270 98225 male 26 181.5 121.8 NH Black 36.97380
4271 98226 female 11 148.6 49.1 NH White 22.23535
4272 98227 female 61 157.0 70.2 Mexican 28.47986
4273 98228 female 52 163.7 173.4 NH Black 64.70707
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4275 98230 female 61 155.7 45.6 Other Hispanic 18.80995
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4280 98235 female 10 145.1 41.5 Other Hispanic 19.71121
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4284 98239 female 0 NA 9.2 Other/Mixed NA
4285 98240 male 0 NA 9.3 NH White NA
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4287 98242 female 53 173.0 91.9 NH Black 30.70600
4288 98243 male 35 168.9 94.6 NH Asian 33.16132
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4290 98245 female 1 NA 10.5 NH Black NA
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4295 98250 male 80 185.0 90.3 NH White 26.38422
4296 98251 male 47 189.5 123.5 NH White 34.39129
4297 98252 male 17 172.1 65.3 NH Asian 22.04710
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4299 98254 female 2 93.9 15.5 Mexican 17.57926
4300 98255 female 19 155.3 66.6 NH Black 27.61413
4301 98256 female 25 163.0 75.7 NH Black 28.49185
4302 98257 male 71 168.8 57.7 NH White 20.25028
4303 98258 male 73 185.9 97.8 NH White 28.29959
4304 98259 female 52 165.3 185.0 NH Black 67.70582
4305 98260 male 16 175.2 62.6 NH White 20.39417
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4308 98263 female 8 139.3 50.1 Other Hispanic 25.81877
4309 98264 male 72 177.0 104.9 NH White 33.48335
4310 98265 male 1 NA 11.1 Mexican NA
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4312 98267 male 49 167.5 71.1 NH Black 25.34195
4313 98268 male 15 173.5 69.1 Other Hispanic 22.95509
4314 98269 male 76 171.6 58.7 Other/Mixed 19.93442
4315 98270 female 62 163.3 115.2 NH Black 43.19964
4316 98271 male 50 165.7 79.0 NH Asian 28.77280
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4320 98275 male 3 101.8 18.8 NH Black 18.14104
4321 98276 male 7 126.7 29.4 NH Black 18.31446
4322 98277 female 18 162.2 58.1 NH White 22.08383
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4324 98280 female 31 161.4 71.3 NH Asian 27.37048
4325 98281 male 5 113.3 20.8 NH Black 16.20330
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4327 98283 female 10 143.9 40.0 NH White 19.31694
4328 98284 female 38 165.2 146.6 NH White 53.71726
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4330 98286 male 2 91.5 17.1 Other/Mixed 20.42462
4331 98287 female 61 164.8 96.6 NH Black 35.56827
4332 98288 male 64 169.1 91.5 NH White 31.99881
4333 98289 male 71 166.9 83.3 NH Black 29.90421
4334 98290 male 10 151.5 62.0 Other Hispanic 27.01260
4335 98291 male 5 106.9 18.6 NH Black 16.27637
4336 98292 female 42 NA NA NH Black NA
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4338 98294 male 10 142.2 43.5 NH White 21.51246
4339 98295 female 23 157.0 66.8 Mexican 27.10049
4340 98296 male 12 160.3 51.1 Mexican 19.88629
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4342 98298 female 28 158.8 111.3 Other/Mixed 44.13612
4343 98299 male 64 170.1 83.7 NH Asian 28.92789
4344 98300 female 48 163.0 91.8 NH White 34.55155
4345 98301 female 68 163.2 83.9 NH Black 31.50080
4346 98302 male 29 166.6 86.9 Mexican 31.30904
4347 98303 female 34 155.8 68.9 NH Black 28.38470
4348 98304 female 79 156.4 50.7 NH White 20.72691
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4350 98306 male 1 NA 11.3 NH Asian NA
4351 98307 female 1 NA 9.6 NH Black NA
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4353 98309 female 73 163.2 61.7 NH White 23.16567
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4359 98317 male 10 149.5 43.9 NH Asian 19.64184
4360 98318 male 40 185.2 118.5 NH White 34.54907
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4362 98320 female 48 162.9 97.8 NH Black 36.85502
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4364 98322 female 29 164.5 114.7 NH White 42.38690
4365 98323 female 31 176.0 61.6 NH White 19.88636
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4367 98326 female 55 163.8 54.1 NH Black 20.16366
4368 98327 female 12 148.6 45.9 Mexican 20.78620
4369 98328 female 30 157.2 64.4 NH Asian 26.06038
4370 98329 female 0 NA 4.7 Mexican NA
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4372 98331 female 64 156.4 46.5 NH Asian 19.00988
4373 98332 female 34 153.6 84.8 NH White 35.94293
4374 98333 male 36 169.5 77.3 Other Hispanic 26.90544
4375 98334 male 62 172.8 87.4 NH Asian 29.27008
4376 98335 female 1 NA NA NH White NA
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4378 98337 female 6 119.3 22.4 NH White 15.73864
4379 98338 male 54 163.8 53.9 NH White 20.08912
4380 98339 male 80 169.1 102.6 NH White 35.88064
4381 98340 female 13 156.4 54.6 NH White 22.32128
4382 98341 male 71 168.4 54.1 NH White 19.07713
4383 98342 female 9 128.8 27.1 Other/Mixed 16.33569
4384 98343 female 31 151.8 52.6 NH Black 22.82665
4385 98344 male 80 169.7 NA NH White NA
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4387 98346 female 7 132.7 31.9 NH Black 18.11544
4388 98347 male 80 169.0 56.2 NH White 19.67718
4389 98348 male 5 119.7 22.8 NH White 15.91280
4390 98349 female 16 158.7 63.9 NH Black 25.37155
4391 98350 female 36 155.0 100.4 Mexican 41.78980
4392 98351 female 38 166.4 71.1 Mexican 25.67810
4393 98352 male 18 178.8 62.2 NH White 19.45608
4394 98353 female 68 161.9 57.4 NH Asian 21.89869
4395 98354 female 57 163.3 116.5 NH Black 43.68713
4396 98355 female 53 163.6 66.5 NH Asian 24.84592
4397 98356 male 3 96.9 15.2 NH Black 16.18811
4398 98357 male 21 174.0 59.0 NH Black 19.48738
4399 98358 male 33 176.2 81.9 NH Black 26.37984
4400 98359 male 16 168.8 64.7 Other/Mixed 22.70698
4401 98360 male 71 163.1 75.9 NH White 28.53211
4402 98361 female 1 NA 12.2 NH White NA
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4404 98364 male 37 168.8 87.8 NH White 30.81411
4405 98365 male 6 117.4 22.9 NH Black 16.61496
4406 98366 female 80 NA NA NH Black NA
4407 98367 female 6 116.2 21.3 NH Asian 15.77493
4408 98368 male 80 178.4 90.1 NH White 28.30969
4409 98369 male 69 180.1 78.9 NH White 24.32482
4410 98370 male 20 170.5 56.2 NH Black 19.33248
4411 98371 female 63 167.3 156.9 NH Black 56.05716
4412 98372 male 70 175.8 58.9 Other/Mixed 19.05801
4413 98373 female 62 155.7 73.1 NH White 30.15367
4414 98374 female 42 165.7 95.0 NH White 34.60020
4415 98375 male 19 177.9 112.0 Other Hispanic 35.38882
4416 98376 male 20 174.7 50.9 Other Hispanic 16.67754
4417 98377 female 7 122.3 26.9 NH Black 17.98454
4418 98378 female 17 155.5 75.7 Mexican 31.30654
4419 98379 female 63 145.6 80.1 NH Black 37.78416
4420 98380 male 12 166.6 84.2 Other/Mixed 30.33626
4421 98381 male 40 172.7 82.5 NH Asian 27.66109
4422 98382 female 10 143.1 47.2 Mexican 23.04956
4423 98383 male 69 158.5 70.3 Mexican 27.98316
4424 98384 female 54 157.4 61.7 Mexican 24.90438
4425 98385 male 61 171.2 109.3 NH White 37.29174
4426 98386 female 15 170.9 93.1 Other Hispanic 31.87613
4427 98387 male 5 115.6 20.6 Other Hispanic 15.41528
4428 98388 male 8 122.9 20.6 NH Asian 13.63840
4429 98389 male 11 162.1 77.5 Mexican 29.49414
4430 98390 female 65 162.9 85.2 NH Black 32.10683
4431 98391 female 80 150.0 55.8 NH White 24.80000
4432 98392 male 47 176.4 74.8 NH Black 24.03834
4433 98393 female 80 151.1 73.2 NH White 32.06138
4434 98394 female 38 163.6 66.9 Other Hispanic 24.99537
4435 98395 female 24 162.3 59.2 NH White 22.47422
4436 98396 female 12 153.4 43.1 Mexican 18.31583
4437 98397 male 16 168.3 58.7 NH Black 20.72382
4438 98398 female 10 140.7 40.3 Mexican 20.35714
4439 98399 male 54 169.6 79.1 NH Asian 27.49950
4440 98400 male 10 148.3 57.5 NH White 26.14481
4441 98401 male 41 177.9 92.3 NH Black 29.16418
4442 98402 male 22 NA NA Mexican NA
4443 98403 male 27 184.2 86.2 NH Asian 25.40552
4444 98404 male 14 171.8 117.1 NH Black 39.67442
4445 98406 female 13 139.1 29.3 NH White 15.14305
4446 98407 male 4 106.0 21.9 Mexican 19.49092
4447 98408 female 19 163.8 54.1 NH White 20.16366
4448 98409 male 2 89.9 12.6 NH White 15.59018
4449 98410 female 10 140.6 38.9 NH White 19.67791
4450 98411 female 18 166.1 93.4 Other/Mixed 33.85381
4451 98412 female 67 155.3 82.7 NH Black 34.28961
4452 98413 male 80 161.5 76.9 NH Asian 29.48365
4453 98414 female 70 NA 74.1 Other/Mixed NA
4454 98415 male 5 110.0 19.6 NH Black 16.19835
4455 98416 female 25 159.0 52.4 NH Asian 20.72703
4456 98417 female 79 152.8 51.7 NH White 22.14338
4457 98418 male 14 174.2 81.3 NH Asian 26.79133
4458 98419 male 12 145.5 43.2 NH Asian 20.40599
4459 98420 female 27 171.2 58.5 NH White 19.95944
4460 98421 male 62 185.6 83.7 NH Asian 24.29794
4461 98422 female 63 163.8 73.2 NH White 27.28244
4462 98423 female 80 164.2 60.3 NH Black 22.36511
4463 98424 male 80 182.4 82.6 NH Black 24.82735
4464 98425 male 9 134.8 30.6 Other Hispanic 16.83998
4465 98426 male 28 170.0 63.9 NH Black 22.11073
4466 98427 male 18 165.8 55.4 NH Asian 20.15305
4467 98428 female 25 171.1 79.1 NH White 27.01945
4468 98429 female 80 156.8 66.7 NH White 27.12900
4469 98430 female 8 121.5 23.3 Mexican 15.78350
4470 98431 female 69 156.0 75.4 NH Black 30.98291
4471 98432 male 1 NA 12.4 Other/Mixed NA
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4473 98434 male 4 113.6 20.1 NH Asian 15.57541
4474 98435 female 21 157.9 61.0 NH Black 24.46615
4475 98436 male 36 174.5 85.2 NH Black 27.98007
4476 98437 female 32 164.3 67.9 NH Black 25.15328
4477 98438 female 62 157.7 89.4 Mexican 35.94795
4478 98439 male 3 96.4 15.8 NH Asian 17.00212
4479 98440 female 19 154.6 47.7 NH Black 19.95719
4480 98441 male 22 171.3 157.9 NH White 53.81055
4481 98442 female 22 163.7 94.5 NH Black 35.26423
4482 98443 female 21 164.1 64.5 NH White 23.95204
4483 98444 female 59 154.6 90.5 NH White 37.86427
4484 98445 female 25 161.8 68.3 Other Hispanic 26.08937
4485 98446 male 13 166.1 52.9 Other/Mixed 19.17416
4486 98447 male 32 169.6 153.8 NH White 53.46932
4487 98448 female 24 164.1 115.7 NH Black 42.96514
4488 98449 female 12 155.5 52.4 Mexican 21.67058
4489 98450 female 15 173.1 76.8 Other/Mixed 25.63109
4490 98451 male 6 125.9 25.5 NH White 16.08751
4491 98452 male 52 179.2 71.0 NH Asian 22.10967
4492 98453 male 7 120.7 25.3 NH Black 17.36625
4493 98454 female 63 164.8 86.4 Mexican 31.81261
4494 98455 female 5 111.0 17.2 Other Hispanic 13.95991
4495 98456 male 36 171.8 64.8 NH Black 21.95476
4496 98457 male 80 174.8 53.4 NH Black 17.47666
4497 98458 male 24 175.7 85.5 Other Hispanic 27.69635
4498 98459 female 12 160.5 39.7 NH Asian 15.41134
4499 98460 female 27 158.6 82.4 Mexican 32.75826
4500 98461 female 54 163.0 49.2 NH Asian 18.51782
4501 98462 male 71 170.5 85.4 Mexican 29.37711
4502 98463 female 66 165.7 83.3 NH White 30.33891
4503 98464 male 7 122.6 26.6 Other/Mixed 17.69704
4504 98465 female 14 158.9 50.5 NH White 20.00063
4505 98466 male 0 NA 6.3 NH Black NA
4506 98467 female 3 96.7 13.7 NH White 14.65101
4507 98468 female 14 159.7 53.5 Mexican 20.97703
4508 98469 male 41 159.7 71.4 NH Asian 27.99551
4509 98470 female 38 162.4 76.5 Other Hispanic 29.00610
4510 98472 female 2 94.1 14.5 NH Asian 16.37528
4511 98473 female 65 143.5 73.1 Other Hispanic 35.49879
4512 98474 male 35 181.8 67.4 NH Black 20.39258
4513 98475 male 22 170.7 104.7 Mexican 35.93186
4514 98476 male 2 NA 15.6 NH White NA
4515 98477 female 12 154.5 48.4 Other/Mixed 20.27629
4516 98478 female 3 95.6 14.2 Other Hispanic 15.53719
4517 98479 male 27 166.4 67.2 NH Asian 24.26960
4518 98481 male 60 180.1 96.7 Other/Mixed 29.81254
4519 98483 female 26 157.9 51.6 NH White 20.69595
4520 98484 female 13 151.1 39.7 NH Asian 17.38848
4521 98485 male 21 174.7 67.1 Other/Mixed 21.98552
4522 98486 female 12 142.2 32.4 NH Asian 16.02307
4523 98487 female 0 NA 6.4 Mexican NA
4524 98488 male 7 131.4 40.9 Other Hispanic 23.68823
4525 98489 female 55 164.0 94.3 NH Black 35.06098
4526 98490 male 24 170.9 94.0 NH White 32.18427
4527 98491 female 61 159.2 149.0 NH White 58.78955
4528 98492 female 0 NA 10.3 Mexican NA
4529 98493 female 18 157.0 65.7 Mexican 26.65423
4530 98494 female 25 165.0 64.2 Other/Mixed 23.58127
4531 98495 male 48 176.1 77.1 NH White 24.86198
4532 98496 female 46 166.0 93.4 NH Black 33.89461
4533 98497 male 2 NA NA Mexican NA
4534 98498 female 74 158.5 58.7 NH White 23.36574
4535 98499 male 12 150.2 38.3 Other Hispanic 16.97692
4536 98500 female 56 147.6 62.7 Other Hispanic 28.78027
4537 98501 female 68 155.2 72.3 Other Hispanic 30.01614
4538 98502 female 80 160.4 101.9 NH White 39.60641
4539 98503 male 1 NA 11.8 NH Black NA
4540 98504 male 18 171.9 60.8 NH Black 20.57557
4541 98505 male 16 174.7 95.3 Mexican 31.22533
4542 98506 female 64 159.1 99.7 NH Black 39.38717
4543 98507 female 16 163.9 65.7 Mexican 24.45724
4544 98508 male 62 173.6 78.4 NH Asian 26.01457
4545 98509 female 28 180.6 109.7 NH White 33.63343
4546 98510 male 10 143.1 43.2 Other Hispanic 21.09621
4547 98511 female 12 154.4 38.7 NH White 16.23366
4548 98512 female 32 161.1 108.3 NH Black 41.72894
4549 98513 male 3 NA NA Other Hispanic NA
4550 98514 male 32 179.4 129.4 NH White 40.20586
4551 98515 female 3 94.7 12.7 NH White 14.16132
4552 98516 male 8 135.7 37.2 NH White 20.20148
4553 98517 female 80 161.1 73.5 NH White 28.32020
4554 98518 male 2 95.3 17.7 NH White 19.48891
4555 98519 female 1 NA 10.4 Mexican NA
4556 98520 male 16 163.4 62.5 NH White 23.40863
4557 98521 male 40 176.0 95.2 NH Black 30.73347
4558 98522 male 17 176.3 149.0 NH Black 47.93819
4559 98523 male 40 167.4 111.4 NH White 39.75340
4560 98524 female 49 159.1 91.5 NH Black 36.14771
4561 98525 male 2 89.4 13.6 NH White 17.01625
4562 98526 male 67 167.4 68.1 NH White 24.30167
4563 98527 female 30 149.9 44.8 NH Black 19.93769
4564 98528 male 32 169.8 96.8 NH White 33.57376
4565 98529 female 70 161.7 60.8 NH White 23.25324
4566 98530 male 60 171.4 96.9 NH Asian 32.98391
4567 98531 female 20 152.4 49.1 NH White 21.14032
4568 98532 female 3 92.1 12.8 NH Asian 15.09005
4569 98533 female 3 95.2 14.6 NH White 16.10938
4570 98535 female 80 154.7 52.5 NH White 21.93707
4571 98536 female 77 149.6 55.4 NH White 24.75407
4572 98537 female 59 157.0 79.0 Mexican 32.04998
4573 98539 female 4 98.2 14.5 Other/Mixed 15.03644
4574 98540 male 63 164.2 44.1 NH Asian 16.35657
4575 98541 female 68 160.2 86.5 Mexican 33.70475
4576 98542 female 54 163.0 84.3 NH Black 31.72871
4577 98543 female 0 NA 8.0 Mexican NA
4578 98544 female 29 164.7 59.5 NH White 21.93460
4579 98545 female 36 156.4 59.5 Other Hispanic 24.32447
4580 98546 female 10 141.8 34.5 NH White 17.15800
4581 98547 male 8 133.2 25.2 Other/Mixed 14.20339
4582 98548 male 43 155.4 70.2 Other Hispanic 29.06933
4583 98549 female 63 157.9 76.3 Mexican 30.60274
4584 98550 male 40 180.8 133.4 NH Black 40.80928
4585 98551 female 32 163.6 74.8 NH Asian 27.94699
4586 98552 female 1 NA 11.4 NH White NA
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4588 98554 female 63 170.2 64.6 Other Hispanic 22.30044
4589 98555 male 21 180.4 113.5 Other Hispanic 34.87569
4590 98556 male 48 168.6 67.0 NH Asian 23.57000
4591 98557 male 80 168.4 61.8 NH Black 21.79236
4592 98558 female 63 161.0 73.3 NH Black 28.27823
4593 98559 female 8 136.4 40.5 NH Black 21.76839
4594 98560 male 16 172.6 56.8 NH Black 19.06631
4595 98561 male 44 178.4 114.9 NH Black 36.10192
4596 98562 female 67 156.9 71.9 NH Black 29.20673
4597 98563 female 17 164.0 62.3 NH Black 23.16330
4598 98564 female 39 168.3 68.5 NH White 24.18368
4599 98565 female 57 154.3 52.5 NH White 22.05096
4600 98566 female 3 102.3 14.8 NH Black 14.14199
4601 98567 female 7 127.3 27.2 NH White 16.78464
4602 98568 male 78 178.8 97.0 NH White 30.34148
4603 98569 male 65 168.2 61.8 Other Hispanic 21.84422
4604 98570 male 0 NA 8.3 NH White NA
4605 98571 female 28 174.5 91.6 NH Black 30.08185
4606 98572 female 0 NA 4.5 NH White NA
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4608 98575 male 5 109.0 17.9 NH Asian 15.06607
4609 98576 male 7 121.7 24.2 Mexican 16.33933
4610 98577 female 11 151.9 49.0 NH Black 21.23638
4611 98578 female 16 158.2 48.0 Other Hispanic 19.17910
4612 98579 female 36 156.0 61.4 NH Asian 25.23011
4613 98580 female 3 94.0 13.6 Other/Mixed 15.39158
4614 98581 female 67 155.0 85.2 NH White 35.46306
4615 98582 female 8 129.8 26.0 NH Black 15.43206
4616 98583 male 17 163.5 70.0 NH Asian 26.18560
4617 98584 female 11 167.2 98.1 NH Black 35.09106
4618 98585 female 51 162.9 50.3 Mexican 18.95509
4619 98586 male 72 165.0 56.2 NH White 20.64279
4620 98587 female 10 153.8 45.3 NH Black 19.15074
4621 98588 male 6 117.0 21.8 NH Black 15.92520
4622 98589 female 21 165.2 144.0 Mexican 52.76457
4623 98590 female 12 155.9 81.9 NH Black 33.69703
4624 98591 female 11 157.0 56.5 NH Black 22.92182
4625 98592 female 68 149.5 54.7 NH Asian 24.47400
4626 98594 female 38 160.8 111.1 Mexican 42.96769
4627 98595 female 50 157.7 71.2 Mexican 28.62969
4628 98596 male 18 164.5 48.9 NH Asian 18.07079
4629 98597 female 66 147.8 79.7 Mexican 36.48459
4630 98598 male 65 167.9 62.4 NH Black 22.13519
4631 98599 male 80 170.2 75.1 NH White 25.92512
4632 98600 male 80 170.3 55.5 NH White 19.13655
4633 98601 female 41 159.0 74.7 NH Black 29.54788
4634 98602 female 64 156.7 83.0 Mexican 33.80182
4635 98603 female 69 159.4 89.0 Other/Mixed 35.02784
4636 98604 male 10 143.0 28.4 NH White 13.88821
4637 98605 female 55 163.5 135.8 NH Black 50.80006
4638 98606 male 47 168.9 80.1 NH Black 28.07846
4639 98607 female 8 125.5 21.6 NH Asian 13.71407
4640 98608 male 19 177.4 102.9 NH Asian 32.69702
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4642 98610 male 77 170.5 105.7 NH White 36.36020
4643 98611 female 59 158.5 68.2 Other Hispanic 27.14725
4644 98613 male 10 132.1 27.6 Mexican 15.81625
4645 98614 female 59 170.7 70.6 NH Asian 24.22912
4646 98615 male 60 177.3 93.3 NH Black 29.68002
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4648 98617 female 55 150.5 69.3 Other/Mixed 30.59569
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4650 98619 male 1 NA 11.3 Mexican NA
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4652 98621 male 1 NA 15.1 Other/Mixed NA
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4654 98623 female 15 160.1 58.6 NH White 22.86204
4655 98624 male 53 177.2 98.4 NH Black 31.33774
4656 98625 male 0 NA 8.3 NH Black NA
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4659 98629 male 45 188.6 97.4 NH White 27.38266
4660 98630 male 64 167.6 101.1 NH Black 35.99176
4661 98631 female 43 163.3 69.1 NH White 25.91228
4662 98632 male 4 107.7 18.8 Other Hispanic 16.20789
4663 98634 female 75 164.0 70.2 Other Hispanic 26.10054
4664 98635 male 13 155.3 68.6 NH White 28.44338
4665 98636 female 2 91.3 14.9 NH White 17.87494
4666 98638 male 65 168.5 67.1 NH Black 23.63321
4667 98639 male 6 117.2 21.9 NH White 15.94369
4668 98640 male 12 155.7 59.3 NH White 24.46118
4669 98641 male 67 173.1 78.7 NH White 26.26519
4670 98642 male 12 157.8 45.4 NH White 18.23232
4671 98643 male 9 142.3 49.7 NH White 24.54407
4672 98644 female 10 144.2 34.0 Mexican 16.35115
4673 98645 female 75 159.6 75.6 NH White 29.67946
4674 98646 female 43 154.0 72.9 Mexican 30.73874
4675 98647 male 8 138.4 48.6 NH White 25.37255
4676 98648 female 80 152.2 71.8 NH White 30.99525
4677 98649 male 75 172.5 71.3 NH White 23.96135
4678 98650 male 72 156.9 69.3 NH Black 28.15058
4679 98651 female 73 155.8 73.1 NH Black 30.11497
4680 98652 male 2 90.5 15.5 Mexican 18.92494
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4682 98654 male 17 184.0 119.8 Mexican 35.38516
4683 98656 male 54 187.3 110.5 NH White 31.49827
4684 98657 male 55 177.0 82.6 Other Hispanic 26.36535
4685 98658 male 0 NA 10.3 Other Hispanic NA
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4688 98661 female 31 168.5 44.6 NH Black 15.70851
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4690 98663 female 4 108.2 17.5 Other Hispanic 14.94802
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4692 98666 male 53 189.1 105.8 NH Black 29.58711
4693 98667 female 80 155.6 64.6 NH White 26.68169
4694 98669 male 63 162.3 94.3 NH White 35.79931
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4696 98672 female 1 NA 10.5 NH Asian NA
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4698 98674 male 8 118.9 22.2 NH White 15.70324
4699 98675 male 61 164.9 62.3 NH Asian 22.91114
4700 98676 male 13 163.7 63.1 NH White 23.54681
4701 98677 male 23 175.3 119.3 NH White 38.82188
4702 98678 male 10 139.3 32.5 NH Asian 16.74870
4703 98679 male 65 170.9 70.0 Mexican 23.96701
4704 98680 female 37 154.7 100.6 NH Black 42.03561
4705 98681 female 80 153.9 71.4 NH Black 30.14539
4706 98682 male 64 162.7 74.6 Other Hispanic 28.18148
4707 98684 male 71 177.1 85.5 NH White 27.26020
4708 98685 female 64 170.8 81.6 Other/Mixed 27.97141
4709 98686 male 2 97.9 16.7 NH White 17.42413
4710 98687 female 30 159.0 66.6 NH White 26.34389
4711 98688 female 17 171.6 93.2 NH Black 31.65056
4712 98689 male 35 171.4 89.2 NH White 30.36290
4713 98690 male 80 172.8 107.4 NH Black 35.96804
4714 98691 male 56 167.6 81.8 Other Hispanic 29.12093
4715 98692 male 25 178.4 76.0 NH Black 23.87943
4716 98693 female 56 159.0 77.6 Mexican 30.69499
4717 98694 female 54 159.7 92.0 NH White 36.07265
4718 98695 male 18 178.9 53.2 NH Black 16.62229
4719 98696 female 9 140.1 47.9 Other/Mixed 24.40390
4720 98697 male 18 173.8 56.7 NH White 18.77083
4721 98698 female 27 159.2 52.5 NH Asian 20.71444
4722 98699 female 68 164.0 65.9 Other Hispanic 24.50178
4723 98700 female 8 133.9 55.7 Other Hispanic 31.06662
4724 98701 female 74 157.0 70.5 NH White 28.60157
4725 98702 female 17 158.6 60.5 NH Asian 24.05188
4726 98703 female 69 160.2 115.2 NH Black 44.88771
4727 98704 male 9 137.9 36.0 NH Black 18.93102
4728 98705 male 61 179.0 82.0 NH Asian 25.59221
4729 98706 female 2 93.8 14.9 NH White 16.93482
4730 98707 female 63 168.4 73.5 NH Black 25.91810
4731 98708 male 43 170.9 55.6 NH White 19.03666
4732 98710 male 24 171.4 120.9 Mexican 41.15330
4733 98711 male 53 178.1 100.2 Other/Mixed 31.58929
4734 98712 female 6 121.7 20.6 Other Hispanic 13.90868
4735 98713 female 59 170.6 80.3 Other/Mixed 27.59037
4736 98714 female 40 161.3 110.3 Mexican 42.39423
4737 98715 female 11 159.9 60.7 NH White 23.74060
4738 98716 female 41 159.3 112.5 NH Black 44.33237
4739 98717 male 64 165.2 64.6 NH Asian 23.67077
4740 98718 female 35 152.9 66.0 Other Hispanic 28.23118
4741 98720 male 15 172.6 90.7 Other/Mixed 30.44568
4742 98721 female 55 160.5 90.1 NH Black 34.97637
4743 98722 female 57 166.3 133.8 NH Black 48.38064
4744 98723 male 3 101.9 17.3 NH White 16.66087
4745 98724 male 22 155.3 79.6 Other Hispanic 33.00427
4746 98725 male 68 161.3 70.9 NH Asian 27.25069
4747 98726 male 38 187.2 89.4 NH White 25.51090
4748 98727 female 4 108.4 18.9 NH White 16.08434
4749 98728 male 41 177.7 93.8 NH Asian 29.70489
4750 98729 female 30 149.2 44.5 NH Asian 19.99044
4751 98730 male 8 133.0 30.9 NH Black 17.46848
4752 98731 male 4 103.1 14.9 NH Black 14.01745
4753 98732 male 66 168.8 80.2 NH White 28.14683
4754 98733 female 36 166.7 83.4 NH White 30.01199
4755 98734 male 32 180.2 113.8 NH White 35.04553
4756 98736 male 4 100.2 17.2 NH White 17.13141
4757 98737 female 4 102.1 15.2 NH White 14.58116
4758 98738 female 8 132.3 36.5 Mexican 20.85322
4759 98739 male 10 139.4 40.4 Other/Mixed 20.79006
4760 98740 male 31 182.5 87.5 NH Asian 26.27135
4761 98741 female 64 160.8 90.8 NH White 35.11671
4762 98742 female 80 143.8 59.9 Mexican 28.96737
4763 98743 male 61 164.6 75.8 NH Asian 27.97754
4764 98744 female 64 155.5 77.7 NH Black 32.13366
4765 98745 female 60 172.5 71.0 NH Black 23.86053
4766 98746 female 60 171.1 98.2 NH White 33.54374
4767 98747 male 21 175.2 66.5 NH Black 21.66474
4768 98748 male 50 172.4 54.7 NH White 18.40402
4769 98749 male 37 180.8 101.2 NH White 30.95877
4770 98750 female 1 NA 10.9 NH White NA
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4774 98754 male 0 NA 5.5 Other/Mixed NA
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4777 98757 male 41 169.4 78.0 NH White 27.18115
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4779 98759 male 80 162.5 57.2 Mexican 21.66154
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4785 98766 female 4 102.4 20.2 NH White 19.26422
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4790 98771 male 0 NA 4.7 NH Asian NA
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4794 98775 male 26 169.3 87.7 Other/Mixed 30.59748
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4800 98781 female 55 162.1 93.1 NH White 35.43102
4801 98782 female 43 158.9 74.1 NH Black 29.34745
4802 98783 female 40 169.1 126.3 NH White 44.16885
4803 98784 female 25 169.8 102.0 Other/Mixed 35.37731
4804 98785 male 0 NA 3.2 NH White NA
4805 98786 male 17 172.5 50.6 NH White 17.00483
4806 98787 female 9 135.8 46.2 NH White 25.05200
4807 98788 female 20 167.7 106.7 Mexican 37.94008
4808 98789 female 53 152.1 59.0 Other Hispanic 25.50314
4809 98790 male 44 175.9 106.0 Other/Mixed 34.25896
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4811 98792 male 9 124.1 22.3 NH Black 14.47976
4812 98793 female 46 152.8 53.5 NH Asian 22.91433
4813 98794 male 14 183.0 59.1 NH White 17.64759
4814 98795 female 16 149.0 53.5 NH Asian 24.09801
4815 98796 female 21 162.5 60.3 NH Black 22.83550
4816 98797 female 55 150.1 50.1 NH White 22.23701
4817 98798 female 10 134.7 24.2 Other/Mixed 13.33768
4818 98799 female 32 170.2 125.9 NH White 43.46169
4819 98800 female 7 121.4 20.3 NH Asian 13.77396
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4828 98809 female 1 NA 11.7 NH Black NA
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4830 98811 male 1 NA 9.8 NH White NA
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4833 98814 male 69 174.8 88.0 Mexican 28.80049
4834 98815 female 75 151.3 47.6 NH White 20.79357
4835 98816 female 12 152.8 51.0 NH White 21.84356
4836 98817 female 21 163.3 52.8 NH White 19.79983
4837 98819 female 58 155.7 111.7 NH Black 46.07613
4838 98820 male 63 172.8 101.0 NH White 33.82470
4839 98821 female 35 167.4 78.1 NH White 27.87020
4840 98822 male 39 173.5 84.7 NH White 28.13743
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4844 98826 female 3 92.3 13.3 NH Black 15.61163
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4847 98829 male 18 181.3 89.4 Mexican 27.19831
4848 98830 male 66 175.9 102.8 Other/Mixed 33.22473
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4851 98833 female 75 147.3 56.3 NH White 25.94794
4852 98834 female 55 166.6 56.5 NH White 20.35628
4853 98835 male 14 168.1 61.7 NH White 21.83483
4854 98837 male 80 NA NA NH White NA
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4856 98839 female 32 152.0 66.1 NH Asian 28.60976
4857 98840 female 50 159.3 89.1 Other/Mixed 35.11124
4858 98841 female 0 NA 7.1 NH Black NA
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4860 98843 male 56 163.3 60.3 NH White 22.61231
4861 98844 male 76 174.6 82.7 NH Black 27.12795
4862 98845 female 50 161.0 77.3 NH Asian 29.82138
4863 98846 female 47 169.2 83.3 NH White 29.09674
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4866 98849 male 8 128.8 27.8 NH Asian 16.75765
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4868 98851 female 23 160.4 55.7 Other/Mixed 21.64943
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4870 98854 male 22 167.9 80.9 Mexican 28.69770
4871 98855 female 5 123.0 25.3 NH Black 16.72285
4872 98856 female 8 128.5 38.7 NH Black 23.43715
4873 98857 male 58 165.9 67.0 NH Asian 24.34344
4874 98858 female 65 164.0 89.9 NH Black 33.42504
4875 98860 male 8 120.0 24.1 NH White 16.73611
4876 98861 female 1 NA 10.9 NH Asian NA
4877 98862 female 6 120.4 26.1 NH White 18.00477
4878 98863 male 7 NA 50.6 Other/Mixed NA
4879 98864 male 62 166.7 93.6 NH Asian 33.68253
4880 98865 male 36 179.5 72.0 NH White 22.34620
4881 98866 male 19 176.5 65.2 NH White 20.92947
4882 98867 male 60 174.1 88.5 NH Black 29.19750
4883 98868 male 20 169.9 67.7 NH Black 23.45319
4884 98869 male 75 178.7 78.5 NH Asian 24.58219
4885 98870 female 24 166.4 72.6 NH White 26.21984
4886 98871 male 8 134.8 27.0 NH Black 14.85881
4887 98872 female 44 157.3 98.2 NH Black 39.68753
4888 98873 female 1 NA 12.1 Other/Mixed NA
4889 98874 female 3 99.0 15.1 NH White 15.40659
4890 98875 female 9 130.0 24.3 NH Asian 14.37870
4891 98876 male 22 171.3 64.6 NH Black 22.01495
4892 98877 male 39 164.1 62.0 NH Asian 23.02367
4893 98878 female 42 156.9 74.5 Mexican 30.26289
4894 98879 female 3 106.0 19.5 NH White 17.35493
4895 98880 male 48 169.6 90.4 Mexican 31.42800
4896 98881 male 4 107.2 18.3 Other/Mixed 15.92434
4897 98882 male 1 NA 10.3 NH Black NA
4898 98883 female 18 158.6 59.1 Mexican 23.49531
4899 98884 male 76 176.7 90.6 NH White 29.01717
4900 98885 male 15 169.4 82.0 NH White 28.57505
4901 98886 male 9 140.3 36.5 NH Asian 18.54289
4902 98888 female 0 NA 8.5 NH White NA
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4904 98890 male 16 166.0 63.5 NH White 23.04398
4905 98891 female 53 148.1 63.1 Other Hispanic 28.76863
4906 98892 male 55 177.5 70.8 NH White 22.47173
4907 98893 male 69 154.8 70.7 Other Hispanic 29.50377
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4910 98896 male 16 166.4 119.2 Mexican 43.04965
4911 98897 male 0 NA 7.6 NH Black NA
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4913 98899 female 66 157.9 86.4 NH White 34.65369
4914 98900 male 36 175.7 82.3 NH White 26.65976
4915 98901 male 65 172.3 103.6 NH Black 34.89709
4916 98902 female 56 165.2 51.5 NH Asian 18.87066
4917 98903 female 73 158.8 86.2 Other Hispanic 34.18269
4918 98904 female 51 157.8 47.5 NH White 19.07566
4919 98905 male 63 172.6 75.7 NH White 25.41056
4920 98906 male 33 171.9 70.4 Other Hispanic 23.82434
4921 98907 male 56 177.2 77.2 Mexican 24.58611
4922 98908 male 8 140.4 49.4 NH White 25.06067
4923 98909 male 68 174.4 78.7 Other Hispanic 25.87508
4924 98910 male 22 179.4 69.5 NH Black 21.59434
4925 98911 female 9 142.5 36.6 NH Black 18.02401
4926 98912 male 37 156.9 54.9 NH Black 22.30111
4927 98913 female 17 163.9 78.4 NH White 29.18490
4928 98914 female 63 166.1 83.4 NH White 30.22921
4929 98915 female 6 109.4 17.5 NH White 14.62189
4930 98916 male 67 176.4 64.2 NH Black 20.63184
4931 98917 female 56 161.0 74.9 NH White 28.89549
4932 98918 male 24 166.7 54.4 NH Black 19.57617
4933 98919 female 14 162.8 81.9 Mexican 30.90118
4934 98920 male 23 187.0 101.1 NH White 28.91132
4935 98921 female 26 164.0 104.8 NH White 38.96490
4936 98922 male 80 181.7 69.0 NH White 20.89966
4937 98923 female 48 159.8 104.7 NH Black 41.00088
4938 98924 male 60 177.8 71.0 Other Hispanic 22.45923
4939 98925 female 21 167.5 106.1 Mexican 37.81689
4940 98926 female 48 152.6 50.9 NH Asian 21.85791
4941 98927 female 18 152.6 63.5 NH Black 27.26871
4942 98928 male 64 153.1 73.5 Mexican 31.35718
4943 98929 male 62 166.2 96.5 Mexican 34.93536
4944 98930 female 9 129.8 28.5 Other Hispanic 16.91591
4945 98931 female 68 156.7 69.7 NH Black 28.38538
4946 98932 male 45 158.4 88.1 Other Hispanic 35.11281
4947 98933 female 46 163.7 52.9 NH White 19.74051
4948 98934 female 80 145.5 59.3 NH White 28.01101
4949 98935 male 25 171.7 110.3 NH Black 37.41407
4950 98936 male 27 177.7 61.9 NH White 19.60270
4951 98937 female 1 NA 10.6 NH Black NA
4952 98938 female 19 NA NA NH White NA
4953 98940 female 64 148.7 61.6 Mexican 27.85857
4954 98941 female 59 146.0 50.2 NH Asian 23.55038
4955 98942 male 11 153.3 86.1 NH White 36.63691
4956 98943 male 8 137.1 36.6 Mexican 19.47180
4957 98944 male 27 178.6 119.9 NH White 37.58861
4958 98945 male 43 189.7 140.2 NH White 38.95950
4959 98946 female 65 149.4 73.6 NH White 32.97438
4960 98947 male 48 164.3 63.2 NH Asian 23.41219
4961 98948 male 33 181.9 115.6 NH White 34.93755
4962 98949 male 3 102.8 16.5 NH Black 15.61341
4963 98950 female 11 138.7 31.7 NH White 16.47807
4964 98951 female 52 161.4 88.8 NH Black 34.08834
4965 98952 male 24 165.8 80.0 NH Asian 29.10187
4966 98953 female 19 158.3 50.3 NH White 20.07272
4967 98954 female 1 NA 16.7 Mexican NA
4968 98955 male 21 169.2 91.7 NH White 32.03086
4969 98956 male 0 NA 6.0 NH White NA
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4971 98958 female 23 149.0 39.8 NH White 17.92712
4972 98959 male 75 164.6 72.4 Mexican 26.72261
4973 98960 male 35 180.5 118.4 NH White 36.34103
4974 98961 female 77 154.1 52.8 Mexican 22.23457
4975 98962 female 17 160.9 57.8 Mexican 22.32625
4976 98963 female 11 155.3 43.3 NH White 17.95333
4977 98964 male 80 180.7 84.3 NH White 25.81733
4978 98965 female 67 151.3 92.9 Mexican 40.58241
4979 98966 female 68 159.8 76.4 NH Asian 29.91850
4980 98967 female 13 157.8 44.3 NH White 17.79056
4981 98968 male 33 182.0 119.1 NH White 35.95580
4982 98969 male 1 NA 11.2 Mexican NA
4983 98971 female 28 155.6 79.5 NH Black 32.83583
4984 98972 female 67 166.3 67.2 NH White 24.29880
4985 98973 female 1 NA 12.5 Other/Mixed NA
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4987 98975 male 16 176.8 96.3 NH White 30.80788
4988 98976 female 57 156.0 59.3 NH Asian 24.36719
4989 98977 female 67 152.2 59.6 Other Hispanic 25.72865
4990 98978 male 12 152.5 47.4 Other Hispanic 20.38162
4991 98979 male 9 133.4 28.5 Other/Mixed 16.01523
4992 98980 male 54 162.8 83.7 Mexican 31.58033
4993 98981 male 31 174.2 46.9 NH Black 15.45527
4994 98982 female 25 158.4 53.8 NH Black 21.44233
4995 98983 male 57 NA NA NH Black NA
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4997 98985 female 31 165.1 51.3 NH Asian 18.82016
4998 98986 female 14 156.6 50.2 NH White 20.47011
4999 98988 female 59 157.5 92.8 Mexican 37.40993
5000 98989 female 76 154.2 100.1 NH White 42.09837
5001 98990 male 64 NA NA NH White NA
5002 98992 male 56 173.0 127.6 Mexican 42.63423
5003 98993 female 1 NA 9.9 NH White NA
5004 98994 male 30 185.0 116.8 Other/Mixed 34.12710
5005 98995 female 55 172.2 77.0 Other Hispanic 25.96716
5006 98996 female 69 158.0 66.4 NH Black 26.59830
5007 98997 male 73 171.8 67.4 NH Black 22.83566
5008 98998 female 51 159.2 96.3 NH Black 37.99620
5009 98999 female 1 NA 11.0 Mexican NA
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5011 99001 male 37 166.1 78.4 Other/Mixed 28.41691
5012 99002 male 73 168.1 88.1 NH Asian 31.17744
5013 99003 female 17 170.9 76.9 NH White 26.32948
5014 99004 male 15 161.5 49.0 NH White 18.78672
5015 99005 female 26 168.1 108.1 NH Black 38.25518
5016 99006 female 13 149.7 40.5 Other Hispanic 18.07222
5017 99007 male 26 164.8 74.4 NH White 27.39419
5018 99008 male 9 127.8 26.7 NH Black 16.34743
5019 99009 female 38 165.5 74.2 NH White 27.08993
5020 99010 male 0 NA 6.7 Other/Mixed NA
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5022 99012 female 51 147.9 58.5 Other Hispanic 26.74358
5023 99013 female 19 159.2 52.8 Mexican 20.83281
5024 99014 male 68 173.4 100.5 NH White 33.42473
5025 99015 male 18 170.1 74.0 Mexican 25.57544
5026 99016 male 36 175.1 70.1 Other Hispanic 22.86366
5027 99017 female 2 95.4 17.3 NH White 19.00857
5028 99018 female 68 161.0 82.8 NH White 31.94321
5029 99019 female 41 168.4 131.9 Mexican 46.51153
5030 99020 male 2 86.9 11.8 NH White 15.62581
5031 99021 male 4 101.5 16.2 NH White 15.72472
5032 99022 male 16 NA NA NH Asian NA
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5034 99024 female 38 166.7 64.6 NH Asian 23.24670
5035 99025 female 45 159.5 56.0 NH White 22.01236
5036 99026 female 75 161.0 59.9 NH Asian 23.10868
5037 99027 female 9 143.6 68.1 Mexican 33.02465
5038 99028 female 42 155.2 84.6 Mexican 35.12262
5039 99029 male 46 179.1 76.6 NH Black 23.88018
5040 99030 female 7 120.7 25.7 Mexican 17.64081
5041 99032 female 11 141.2 29.4 NH Asian 14.74613
5042 99033 male 56 163.8 75.7 NH White 28.21422
5043 99035 female 6 122.5 23.1 NH White 15.39359
5044 99036 male 44 168.8 94.3 NH White 33.09534
5045 99037 female 14 155.4 52.2 NH Black 21.61566
5046 99038 female 27 165.0 92.1 NH Black 33.82920
5047 99039 female 17 172.3 87.5 NH White 29.47389
5048 99040 male 6 133.9 35.1 Other/Mixed 19.57699
5049 99041 female 19 NA NA NH White NA
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5051 99043 male 18 177.3 73.5 NH White 23.38137
5052 99044 female 71 160.9 97.7 NH White 37.73831
5053 99045 female 1 NA 12.1 NH White NA
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5055 99047 female 80 144.9 46.6 NH White 22.19469
5056 99048 male 14 156.7 42.4 Mexican 17.26744
5057 99049 male 6 118.7 21.2 NH Black 15.04646
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5059 99053 female 9 127.0 25.9 NH Black 16.05803
5060 99054 female 0 NA 9.3 Mexican NA
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5063 99057 male 61 172.3 76.0 NH Black 25.60018
5064 99058 female 64 156.2 51.3 NH Asian 21.02593
5065 99059 female 7 129.6 29.5 NH White 17.56354
5066 99060 male 55 184.7 140.9 NH White 41.30258
5067 99061 male 2 92.2 12.5 NH Black 14.70443
5068 99062 female 29 144.8 57.0 Other Hispanic 27.18553
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5070 99064 female 60 162.2 89.0 Other/Mixed 33.82893
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5072 99067 male 39 174.0 66.1 NH White 21.83247
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5074 99069 female 80 153.5 89.1 NH Black 37.81472
5075 99070 male 70 175.0 79.0 NH Black 25.79592
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5078 99073 female 6 111.9 23.2 Mexican 18.52797
5079 99074 male 67 160.8 69.0 Other/Mixed 26.68560
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5081 99076 male 10 133.3 34.7 Other/Mixed 19.52851
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5088 99085 male 8 144.7 62.6 Other/Mixed 29.89766
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5099 99099 female 45 156.3 91.4 Mexican 37.41349
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5101 99101 female 80 147.2 67.6 NH Asian 31.19831
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5103 99103 male 39 174.8 83.2 NH Asian 27.22955
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5110 99110 female 20 146.6 43.2 Mexican 20.10091
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5112 99112 female 5 117.1 21.3 NH Asian 15.53337
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5119 99120 male 17 179.1 107.0 NH White 33.35743
5120 99121 female 20 158.1 82.7 Mexican 33.08581
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5129 99132 female 0 NA 5.2 NH White NA
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5138 99141 female 9 131.6 25.3 NH Asian 14.60860
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5140 99143 female 2 90.3 12.8 Other/Mixed 15.69764
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5146 99149 female 3 NA NA NH White NA
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5171 99175 male 69 178.3 73.2 NH Black 23.02546
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5173 99177 female 0 NA 5.4 Other Hispanic NA
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5175 99179 female 80 158.0 48.1 NH Black 19.26775
5176 99181 male 29 176.3 74.4 NH White 23.93692
5177 99182 female 34 167.7 79.7 Other Hispanic 28.33950
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5180 99185 male 0 NA 6.5 Other Hispanic NA
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5182 99187 male 42 167.3 102.9 NH White 36.76406
5183 99188 male 80 176.3 78.1 NH White 25.12733
5184 99189 male 16 186.7 85.2 Other Hispanic 24.44280
5185 99190 female 53 154.5 63.5 Other Hispanic 26.60215
5186 99191 female 80 155.8 62.2 NH White 25.62450
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5188 99194 female 30 154.5 75.9 NH Black 31.79690
5189 99195 male 43 179.5 164.2 NH White 50.96174
5190 99196 female 1 NA 11.0 NH White NA
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5193 99199 male 14 173.7 56.4 NH Asian 18.69302
5194 99200 female 49 159.8 93.8 NH Black 36.73240
5195 99201 female 18 162.3 66.0 Other/Mixed 25.05572
5196 99202 female 9 132.5 43.1 NH White 24.54966
5197 99204 female 65 145.6 60.2 Mexican 28.39708
5198 99205 female 9 147.1 48.7 Other/Mixed 22.50627
5199 99206 male 0 NA 6.9 NH White NA
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5201 99208 male 41 175.5 89.6 Mexican 29.09067
5202 99209 female 80 160.0 55.9 NH Asian 21.83594
5203 99210 male 71 164.9 115.2 NH White 42.36539
5204 99211 male 17 172.4 76.8 NH Black 25.83965
5205 99212 male 33 174.9 76.9 NH Black 25.13893
5206 99213 female 8 134.3 42.1 NH White 23.34157
5207 99214 male 0 NA 11.7 NH White NA
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5209 99216 female 2 90.8 17.8 NH White 21.58978
5210 99217 male 17 175.2 58.4 Other Hispanic 19.02588
5211 99218 male 9 125.8 30.3 Mexican 19.14615
5212 99219 male 10 146.9 33.6 NH Asian 15.57025
5213 99220 female 78 162.5 76.7 NH Black 29.04615
5214 99221 male 19 174.8 72.1 NH White 23.59676
5215 99222 female 66 154.0 68.2 NH Black 28.75696
5216 99223 female 14 159.4 63.5 Mexican 24.99177
5217 99224 female 46 161.8 94.0 NH Black 35.90631
5218 99225 female 11 164.4 46.8 Other Hispanic 17.31579
5219 99226 female 47 157.8 73.6 Other Hispanic 29.55724
5220 99227 male 52 160.7 79.8 Mexican 30.90090
5221 99228 female 10 152.5 61.5 NH White 26.44450
5222 99229 female 19 NA NA NH Black NA
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5224 99231 female 37 160.4 76.5 NH White 29.73396
5225 99232 male 30 176.3 117.8 NH White 37.90013
5226 99233 female 20 154.6 49.6 Mexican 20.75213
5227 99234 male 33 173.5 99.3 NH White 32.98757
5228 99235 female 2 81.6 10.8 NH Black 16.21972
5229 99236 male 6 122.8 22.9 NH White 15.18584
5230 99237 female 44 150.3 57.9 NH Asian 25.63071
5231 99238 female 12 159.3 46.7 Other Hispanic 18.40286
5232 99239 female 78 153.9 113.6 NH White 47.96242
5233 99240 female 54 166.7 49.9 NH Black 17.95682
5234 99241 male 71 171.8 99.4 NH Black 33.67752
5235 99242 female 46 160.4 69.4 Mexican 26.97433
5236 99243 male 80 160.1 74.7 Mexican 29.14325
5237 99245 male 9 145.4 33.6 NH White 15.89317
5238 99246 female 39 155.0 75.3 NH Black 31.34235
5239 99247 male 23 174.8 100.8 NH White 32.98965
5240 99248 male 66 167.4 67.9 NH Asian 24.23030
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5242 99250 female 9 131.6 25.4 NH Asian 14.66635
5243 99251 male 45 175.0 89.6 NH White 29.25714
5244 99252 male 2 90.5 13.0 NH Black 15.87253
5245 99253 female 7 129.9 27.6 NH Asian 16.35652
5246 99254 male 7 122.5 27.2 Mexican 18.12578
5247 99255 female 56 156.7 140.5 NH Black 57.21875
5248 99256 male 69 171.7 85.4 Mexican 28.96792
5249 99257 female 49 155.0 78.9 Mexican 32.84079
5250 99258 male 49 189.1 123.0 NH Black 34.39712
5251 99259 female 80 153.2 51.0 NH Asian 21.72965
5252 99260 female 48 159.2 100.3 NH White 39.57444
5253 99261 male 8 144.2 50.1 NH Black 24.09391
5254 99262 male 63 176.4 79.5 NH Black 25.54877
5255 99263 female 50 156.0 55.4 NH Asian 22.76463
5256 99265 female 67 147.8 82.8 Mexican 37.90369
5257 99266 male 10 140.9 34.4 Other/Mixed 17.32752
5258 99267 male 1 NA 11.5 Other/Mixed NA
5259 99268 male 0 NA 9.2 Other/Mixed NA
5260 99269 male 79 155.9 49.6 NH White 20.40748
5261 99270 female 62 162.3 80.7 Other/Mixed 30.63631
5262 99271 female 56 152.9 42.3 NH Asian 18.09362
5263 99273 female 5 107.3 17.8 Other/Mixed 15.46039
5264 99274 female 53 162.9 75.8 Other Hispanic 28.56453
5265 99275 female 18 162.4 71.8 Other Hispanic 27.22403
5266 99276 male 6 121.9 30.3 Other Hispanic 20.39084
5267 99277 male 58 167.9 73.3 Mexican 26.00175
5268 99278 male 35 169.2 85.0 NH Black 29.69055
5269 99279 female 34 150.7 76.0 Mexican 33.46471
5270 99280 male 31 182.0 122.2 NH White 36.89168
5271 99281 male 2 94.4 13.9 NH Black 15.59807
5272 99282 female 42 162.9 104.8 NH Black 39.49291
5273 99283 male 68 172.1 75.1 NH Asian 25.35585
5274 99284 male 37 171.3 54.0 Other Hispanic 18.40259
5275 99285 female 61 158.3 84.1 Mexican 33.56094
5276 99286 female 14 163.7 63.6 NH White 23.73339
5277 99287 male 57 160.1 99.4 Mexican 38.77964
5278 99289 female 64 152.7 86.9 NH White 37.26848
5279 99290 male 61 173.7 72.8 NH White 24.12858
5280 99291 male 42 163.6 83.5 NH Black 31.19751
5281 99292 male 29 164.9 44.7 NH White 16.43865
5282 99293 male 75 168.4 63.0 NH Black 22.21551
5283 99294 male 9 119.9 27.0 Mexican 18.78129
5284 99295 female 12 146.9 34.9 Mexican 16.17267
5285 99296 female 77 160.1 53.2 NH White 20.75530
5286 99297 male 32 168.0 86.3 NH White 30.57681
5287 99298 female 59 162.8 54.5 Other/Mixed 20.56306
5288 99299 female 62 155.4 83.5 Mexican 34.57677
5289 99300 female 44 159.3 70.1 Other Hispanic 27.62399
5290 99301 male 1 NA 13.0 NH Black NA
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5292 99303 female 68 164.1 70.9 NH Black 26.32868
5293 99304 male 29 173.5 101.7 Mexican 33.78485
5294 99305 male 50 171.6 93.3 Other Hispanic 31.68452
5295 99306 male 17 173.9 51.1 NH Asian 16.89747
5296 99307 female 3 92.5 12.1 NH White 14.14171
5297 99308 male 26 186.0 77.9 NH Black 22.51705
5298 99309 female 80 161.1 62.9 NH White 24.23592
5299 99310 female 74 143.9 81.6 Other Hispanic 39.40656
5300 99311 male 80 172.7 97.5 NH White 32.69038
5301 99312 male 70 174.2 97.5 NH White 32.12982
5302 99313 female 64 160.1 63.0 NH White 24.57864
5303 99314 male 2 88.7 11.5 NH White 14.61674
5304 99315 male 22 177.5 65.7 NH Black 20.85301
5305 99316 male 47 171.5 81.1 Mexican 27.57355
5306 99318 female 28 173.6 64.5 NH Black 21.40229
5307 99319 male 10 146.8 45.6 Other/Mixed 21.15986
5308 99320 female 30 160.1 53.6 NH Asian 20.91135
5309 99321 male 45 174.4 77.4 NH Asian 25.44767
5310 99322 female 35 155.1 74.9 NH Black 31.13567
5311 99323 female 10 148.9 45.9 NH Black 20.70252
5312 99324 female 5 109.0 21.0 NH White 17.67528
5313 99325 male 16 174.3 58.6 NH Black 19.28869
5314 99326 male 0 NA 8.5 Other Hispanic NA
5315 99327 male 59 176.8 119.5 NH Black 38.22992
5316 99328 male 6 125.7 25.8 Mexican 16.32861
5317 99329 male 60 159.8 67.7 NH Asian 26.51155
5318 99330 male 35 178.8 85.0 NH White 26.58789
5319 99331 female 2 83.6 10.7 NH White 15.30986
5320 99332 female 63 153.7 81.7 Mexican 34.58393
5321 99333 female 73 148.1 53.2 NH Asian 24.25501
5322 99334 male 3 90.3 13.5 Mexican 16.55611
5323 99335 male 46 174.4 73.0 Other/Mixed 24.00103
5324 99336 male 0 NA 4.3 NH White NA
5325 99338 female 37 162.6 70.0 Mexican 26.47628
5326 99339 female 21 159.4 93.4 Mexican 36.75955
5327 99340 female 52 161.5 51.5 NH White 19.74523
5328 99341 female 63 160.9 77.3 NH White 29.85846
5329 99342 male 6 114.1 18.3 Mexican 14.05658
5330 99343 female 80 155.9 76.6 NH Black 31.51640
5331 99344 male 45 180.6 93.9 NH Asian 28.78923
5332 99345 male 52 167.2 86.7 Mexican 31.01320
5333 99346 male 26 171.4 68.2 NH Asian 23.21468
5334 99347 female 14 151.7 66.1 NH Black 28.72303
5335 99348 female 80 161.5 82.7 NH White 31.70739
5336 99349 male 37 194.6 183.0 NH White 48.32428
5337 99351 male 80 171.0 108.0 NH White 36.93444
5338 99352 female 7 122.9 20.9 Mexican 13.83702
5339 99353 female 30 168.5 138.9 NH Black 48.92180
5340 99354 female 19 157.4 115.0 NH White 46.41821
5341 99355 male 10 151.9 59.5 Other Hispanic 25.78704
5342 99356 male 3 93.4 13.9 NH Asian 15.93386
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5345 99359 female 37 155.5 69.4 NH Asian 28.70111
5346 99360 male 8 128.0 22.7 Mexican 13.85498
5347 99361 male 34 185.4 100.1 NH White 29.12156
5348 99362 female 2 85.5 14.1 NH White 19.28799
5349 99363 male 4 106.8 17.6 NH White 15.43015
5350 99364 male 52 161.7 65.4 Other/Mixed 25.01253
5351 99365 female 8 146.4 52.7 NH Black 24.58830
5352 99366 female 47 153.2 95.2 Mexican 40.56201
5353 99367 male 9 136.7 41.2 Mexican 22.04754
5354 99368 male 2 86.9 11.7 NH Black 15.49338
5355 99369 male 13 161.8 56.7 Other Hispanic 21.65838
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5357 99371 male 8 149.0 38.9 Other/Mixed 17.52173
5358 99372 female 67 174.9 58.7 NH White 19.18927
5359 99373 male 15 168.4 85.5 NH White 30.14963
5360 99374 female 60 170.8 71.5 NH White 24.50927
5361 99375 male 2 94.7 14.6 NH White 16.27994
5362 99376 male 53 172.5 98.7 Other/Mixed 33.16950
5363 99377 female 80 147.6 63.5 Other Hispanic 29.14748
5364 99378 female 36 158.2 70.5 Mexican 28.16931
5365 99379 female 4 99.4 20.3 NH White 20.54581
5366 99380 female 80 NA NA NH White NA
5367 99381 female 80 NA NA Other Hispanic NA
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5369 99383 female 75 152.4 64.9 NH Black 27.94311
5370 99385 female 68 164.9 66.1 NH White 24.30861
5371 99386 male 10 139.4 31.4 Other/Mixed 16.15861
5372 99387 female 80 162.3 70.2 NH White 26.65018
5373 99388 female 55 169.1 139.9 NH Black 48.92496
5374 99389 female 59 159.7 91.9 NH White 36.03344
5375 99390 female 41 166.7 75.2 Other/Mixed 27.06117
5376 99391 male 72 161.4 68.9 NH Black 26.44918
5377 99392 female 48 163.3 59.4 NH Black 22.27481
5378 99393 male 70 169.9 84.3 Other Hispanic 29.20390
5379 99394 male 20 173.0 67.8 NH Black 22.65361
5380 99395 female 8 123.0 31.3 NH Black 20.68874
5381 99396 female 22 159.7 84.0 Mexican 32.93589
5382 99398 male 7 127.9 25.3 Other Hispanic 15.46605
5383 99400 female 26 152.0 74.3 Mexican 32.15893
5384 99401 female 22 176.9 62.7 NH Asian 20.03604
5385 99402 male 60 177.9 131.2 NH Black 41.45548
5386 99403 female 11 153.4 55.6 Mexican 23.62784
5387 99404 female 34 168.3 70.9 Other Hispanic 25.03099
5388 99405 male 54 163.7 114.6 Other/Mixed 42.76488
5389 99406 female 1 NA 9.5 NH White NA
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5391 99408 female 2 91.4 14.8 NH White 17.71615
5392 99409 female 11 149.9 58.4 NH White 25.99020
5393 99410 female 52 161.6 97.6 NH White 37.37379
5394 99412 male 70 157.8 70.6 Other Hispanic 28.35246
5395 99413 male 15 169.3 73.9 NH Asian 25.78283
5396 99414 female 4 109.5 19.7 Other/Mixed 16.43002
5397 99415 female 73 157.6 76.3 NH Black 30.71936
5398 99416 male 45 169.8 70.6 Other Hispanic 24.48665
5399 99417 male 18 174.8 71.0 NH Asian 23.23676
5400 99418 female 61 156.5 61.8 NH Black 25.23247
5401 99419 male 46 168.3 72.9 Mexican 25.73708
5402 99420 female 51 155.0 81.6 NH Black 33.96462
5403 99421 male 61 182.0 135.3 NH Black 40.84652
5404 99422 male 57 175.5 81.9 Other/Mixed 26.59069
5405 99423 female 1 NA 10.4 Other/Mixed NA
5406 99424 male 54 167.3 99.1 NH Black 35.40640
5407 99425 female 57 165.6 97.3 NH Black 35.48070
5408 99427 female 45 162.8 107.7 NH White 40.63562
5409 99428 female 19 159.4 55.4 Other Hispanic 21.80385
5410 99429 female 62 150.0 72.1 NH Black 32.04444
5411 99430 male 36 175.9 115.1 Mexican 37.20006
5412 99431 female 48 170.2 84.1 Other/Mixed 29.03200
5413 99432 male 9 149.9 52.9 NH White 23.54249
5414 99433 female 2 82.6 10.5 NH White 15.38967
5415 99434 male 34 170.4 68.4 NH Asian 23.55683
5416 99435 male 20 181.0 79.1 Other Hispanic 24.14456
5417 99436 female 22 173.5 100.8 NH Black 33.48587
5418 99437 female 80 151.0 57.3 NH White 25.13048
5419 99438 female 41 153.8 69.0 NH Asian 29.17000
5420 99439 female 34 158.4 50.6 Other/Mixed 20.16695
5421 99440 female 55 155.3 65.3 NH Asian 27.07511
5422 99441 female 65 157.4 63.1 Other Hispanic 25.46947
5423 99442 female 35 159.1 60.9 NH White 24.05896
5424 99443 male 57 176.1 132.3 NH White 42.66199
5425 99444 male 52 166.6 98.6 Other/Mixed 35.52441
5426 99445 male 15 177.8 67.3 NH White 21.28882
5427 99446 female 29 167.4 71.0 NH White 25.33655
5428 99447 male 12 149.7 47.5 Other Hispanic 21.19581
5429 99448 male 49 173.8 74.1 Other/Mixed 24.53119
5430 99449 male 41 179.4 109.9 NH Black 34.14702
5431 99450 male 17 181.4 70.4 Other/Mixed 21.39430
5432 99451 female 17 156.5 123.9 NH Black 50.58743
5433 99452 female 63 162.2 49.0 NH White 18.62492
5434 99453 female 29 159.7 61.1 Other Hispanic 23.95694
5435 99454 male 57 183.0 102.0 NH Black 30.45776
5436 99455 female 14 158.3 66.4 Mexican 26.49758
5437 99456 male 26 172.5 72.3 NH Asian 24.29742
5438 99457 male 40 158.9 63.2 Mexican 25.03049
5439 99459 female 20 162.1 109.5 Other Hispanic 41.67236
5440 99460 male 30 163.9 64.7 Other Hispanic 24.08498
5441 99461 male 61 172.9 70.3 Mexican 23.51610
5442 99462 male 12 146.0 34.3 NH Asian 16.09120
5443 99463 female 23 159.1 77.6 Other Hispanic 30.65641
5444 99464 male 48 169.0 76.7 NH White 26.85480
5445 99465 female 70 149.3 60.9 Other Hispanic 27.32107
5446 99466 female 29 146.4 90.1 Other Hispanic 42.03806
5447 99467 male 11 157.1 64.3 NH White 26.05305
5448 99468 female 11 151.8 44.0 NH Black 19.09454
5449 99469 male 59 173.9 109.4 NH White 36.17580
5450 99470 female 56 163.1 130.8 NH Black 49.16996
5451 99471 male 19 177.8 101.1 NH Black 31.98068
5452 99472 male 11 148.5 35.7 NH Black 16.18882
5453 99473 male 41 179.4 82.5 NH White 25.63357
5454 99474 female 63 178.8 124.2 NH White 38.84960
5455 99475 male 60 191.7 110.6 NH Black 30.09615
5456 99476 female 8 131.7 28.1 Other/Mixed 16.20074
5457 99477 male 63 182.5 94.8 Mexican 28.46313
5458 99478 female 1 NA 11.0 Mexican NA
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5460 99480 female 13 155.3 36.5 NH Asian 15.13387
5461 99481 female 32 155.0 64.4 NH White 26.80541
5462 99482 male 0 NA 6.8 NH Black NA
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5464 99484 female 51 161.8 109.1 Other Hispanic 41.67424
5465 99486 male 62 166.0 65.0 NH Asian 23.58833
5466 99487 male 10 135.1 27.3 NH Black 14.95726
5467 99488 male 57 168.4 70.3 Mexican 24.78969
5468 99489 male 51 163.7 77.9 NH Asian 29.06967
5469 99491 male 18 179.8 81.3 Mexican 25.14845
5470 99492 male 80 164.0 77.0 NH White 28.62879
5471 99493 male 9 142.0 27.1 NH White 13.43979
5472 99494 female 46 157.2 71.0 Mexican 28.73117
5473 99495 female 43 155.8 49.2 NH White 20.26890
5474 99496 female 43 151.1 57.9 NH Black 25.36002
5475 99497 female 56 170.9 75.0 NH Asian 25.67894
5476 99498 male 32 168.5 82.0 NH Asian 28.88112
5477 99499 male 70 174.2 80.0 NH Asian 26.36293
5478 99500 male 61 168.2 66.5 Mexican 23.50551
5479 99501 female 78 154.9 68.3 NH Black 28.46544
5480 99502 male 18 173.9 91.7 Mexican 30.32286
5481 99503 female 61 162.3 114.3 NH Black 43.39195
5482 99505 female 45 170.4 75.8 NH White 26.10538
5483 99506 male 69 152.8 91.5 NH Black 39.18992
5484 99507 female 78 169.9 79.6 NH Black 27.57569
5485 99508 male 0 NA 8.6 Other/Mixed NA
5486 99509 female 73 149.4 82.2 NH White 36.82736
5487 99510 female 35 159.3 43.1 NH Asian 16.98422
5488 99511 female 55 152.8 76.6 NH White 32.80817
5489 99512 female 65 171.8 53.8 NH Black 18.22787
5490 99513 female 36 161.6 80.6 NH Asian 30.86401
5491 99514 male 73 NA NA NH Black NA
5492 99515 male 1 NA 10.1 NH White NA
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5494 99517 female 39 161.6 82.2 Mexican 31.47669
5495 99518 male 80 176.9 94.3 NH Black 30.13395
5496 99519 female 65 164.9 56.4 NH White 20.74139
5497 99520 female 9 152.2 74.2 NH White 32.03130
5498 99521 female 77 160.2 85.8 NH Black 33.43199
5499 99522 male 68 167.1 118.3 Other Hispanic 42.36740
5500 99523 female 4 106.0 18.0 NH White 16.01994
5501 99524 male 80 170.9 71.9 Other Hispanic 24.61755
5502 99525 female 26 171.8 82.6 NH White 27.98554
5503 99526 female 29 153.2 97.7 NH Asian 41.62718
5504 99527 male 5 107.4 17.4 Other/Mixed 15.08484
5505 99528 female 3 101.8 17.1 NH White 16.50063
5506 99529 male 0 NA 9.2 Mexican NA
5507 99530 male 3 105.3 35.0 NH White 31.56540
5508 99531 female 55 162.1 68.6 Mexican 26.10707
5509 99532 female 63 159.8 61.1 NH Asian 23.92697
5510 99533 female 73 156.7 65.0 NH White 26.47131
5511 99534 female 67 155.6 87.1 NH Asian 35.97485
5512 99535 male 72 169.7 84.4 Mexican 29.30750
5513 99536 female 36 172.2 126.6 NH Black 42.69406
5514 99538 male 66 181.2 99.3 NH White 30.24356
5515 99539 male 22 191.0 149.5 NH Black 40.98024
5516 99540 male 57 162.1 75.0 Other/Mixed 28.54271
5517 99541 male 43 179.8 112.7 NH Black 34.86138
5518 99542 male 12 151.4 40.1 NH White 17.49414
5519 99543 male 69 173.4 67.7 NH Asian 22.51596
5520 99544 male 12 168.2 50.9 NH White 17.99143
5521 99545 male 29 163.9 84.7 Mexican 31.53011
5522 99546 male 2 83.2 11.4 NH White 16.46866
5523 99547 male 19 172.8 77.7 NH White 26.02157
5524 99548 male 66 173.6 78.9 Mexican 26.18048
5525 99549 female 14 156.5 58.3 Other/Mixed 23.80345
5526 99550 male 5 122.7 26.4 NH White 17.53536
5527 99551 male 9 124.0 31.4 Other Hispanic 20.42144
5528 99552 female 18 171.2 112.0 NH Black 38.21294
5529 99553 male 10 137.4 27.2 NH Asian 14.40773
5530 99554 male 72 170.5 95.6 NH White 32.88585
5531 99555 female 10 146.2 39.4 NH White 18.43323
5532 99556 female 62 157.5 NA NH White NA
5533 99558 female 5 114.8 19.4 Other/Mixed 14.72034
5534 99559 female 14 147.1 82.3 Other Hispanic 38.03422
5535 99560 female 7 122.4 25.6 Mexican 17.08744
5536 99561 female 9 130.9 32.9 NH White 19.20068
5537 99562 male 6 115.0 21.3 NH Black 16.10586
5538 99563 male 52 178.2 92.5 NH Black 29.12905
5539 99564 female 76 158.8 59.5 Other Hispanic 23.59478
5540 99565 male 80 172.7 80.0 NH Black 26.82287
5541 99566 female 0 NA 5.6 Other/Mixed NA
5542 99567 male 16 166.9 55.3 NH Asian 19.85237
5543 99568 female 52 155.8 45.7 Other Hispanic 18.82701
5544 99569 female 8 123.3 24.5 Other/Mixed 16.11536
5545 99570 male 10 145.8 45.7 NH Asian 21.49815
5546 99571 female 11 146.0 65.2 NH White 30.58735
5547 99573 male 25 174.6 74.3 NH Black 24.37251
5548 99574 male 63 185.7 115.1 NH White 33.37732
5549 99575 female 74 155.1 73.5 NH White 30.55370
5550 99576 male 7 118.5 25.0 Mexican 17.80341
5551 99577 female 27 166.1 84.2 NH White 30.51918
5552 99578 male 10 141.2 48.7 NH White 24.42641
5553 99579 male 17 180.0 72.6 NH White 22.40741
5554 99580 male 66 167.3 74.9 NH White 26.76024
5555 99581 female 8 137.8 30.8 Other Hispanic 16.22005
5556 99582 male 9 144.7 60.3 NH Black 28.79919
5557 99583 female 23 158.7 51.7 NH White 20.52753
5558 99584 male 21 168.9 86.7 Mexican 30.39204
5559 99585 male 35 181.9 92.5 NH Black 27.95608
5560 99586 female 9 134.0 30.2 Mexican 16.81889
5561 99587 male 17 176.1 93.0 Mexican 29.98916
5562 99588 female 12 161.2 68.0 NH Black 26.16850
5563 99589 male 56 184.3 120.6 NH Black 35.50558
5564 99590 female 54 164.2 96.9 NH White 35.93995
5565 99591 female 13 160.8 49.7 NH Black 19.22137
5566 99592 female 4 106.7 16.8 NH Asian 14.75640
5567 99593 male 34 178.4 71.2 Other/Mixed 22.37125
5568 99594 female 8 130.6 42.7 Mexican 25.03465
5569 99596 male 48 167.0 79.1 NH Asian 28.36244
5570 99597 male 80 167.4 87.0 NH White 31.04619
5571 99598 male 10 141.0 50.2 Other Hispanic 25.25024
5572 99599 female 48 180.4 90.6 NH White 27.83910
5573 99600 female 55 153.0 68.8 NH Black 29.39041
5574 99601 female 10 144.7 53.0 Other/Mixed 25.31272
5575 99602 female 64 155.5 101.1 Mexican 41.81098
5576 99603 male 70 170.6 102.9 NH White 35.35553
5577 99604 male 80 161.6 64.2 NH White 24.58399
5578 99605 male 46 179.1 135.4 NH White 42.21118
5579 99606 female 70 152.2 107.2 Mexican 46.27703
5580 99607 female 8 138.3 42.8 NH Black 22.37687
5581 99608 female 10 144.8 51.0 NH White 24.32389
5582 99609 male 46 182.9 141.3 NH Black 42.23911
5583 99610 male 65 166.0 95.5 Other Hispanic 34.65670
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5585 99612 male 3 NA 15.4 Mexican NA
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5587 99614 male 17 155.3 71.4 NH Asian 29.60433
5588 99615 female 63 160.6 115.4 NH White 44.74193
5589 99616 female 39 168.0 179.2 NH White 63.49206
5590 99617 male 15 179.5 65.4 NH Black 20.29779
5591 99618 male 46 177.3 64.0 NH Black 20.35928
5592 99619 male 50 159.9 76.1 Mexican 29.76376
5593 99621 male 63 162.7 69.7 Mexican 26.33041
5594 99622 female 61 165.3 96.7 NH White 35.39002
5595 99623 male 1 NA 8.8 NH White NA
5596 99624 male 45 184.5 92.7 NH White 27.23247
5597 99625 male 68 176.5 88.2 NH White 28.31256
5598 99626 female 2 90.3 12.0 NH Black 14.71654
5599 99627 male 5 117.2 18.9 NH White 13.75962
5600 99628 female 52 162.2 56.2 Mexican 21.36164
5601 99629 female 14 165.8 99.1 NH Black 36.04994
5602 99630 male 73 180.2 101.5 NH White 31.25766
5603 99631 male 40 168.1 63.3 NH Asian 22.40105
5604 99632 male 18 189.4 71.4 NH White 19.90390
5605 99633 male 60 181.2 120.6 Mexican 36.73085
5606 99634 female 1 NA 11.1 Other Hispanic NA
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5608 99636 female 53 157.1 121.3 Mexican 49.14829
5609 99637 male 30 178.5 86.5 NH Asian 27.14811
5610 99638 male 1 NA 10.0 NH Asian NA
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5612 99640 male 6 119.7 31.0 Other Hispanic 21.63582
5613 99641 male 23 187.2 79.4 NH Black 22.65733
5614 99643 female 80 151.4 53.9 NH White 23.51457
5615 99645 female 80 151.4 69.4 NH Black 30.27664
5616 99647 male 76 165.0 77.5 NH White 28.46648
5617 99648 female 6 121.6 24.4 NH White 16.50147
5618 99649 female 7 121.6 24.1 NH Black 16.29858
5619 99650 female 4 99.1 15.6 Other/Mixed 15.88464
5620 99651 male 8 130.1 22.2 NH White 13.11591
5621 99652 male 1 NA 10.2 NH Asian NA
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5623 99654 male 5 109.5 18.3 NH White 15.26240
5624 99655 male 38 172.2 80.0 NH Black 26.97887
5625 99656 female 5 106.7 19.3 NH Asian 16.95229
5626 99657 female 5 115.7 22.3 NH White 16.65859
5627 99658 female 66 151.5 83.3 Mexican 36.29274
5628 99659 female 41 158.0 61.5 NH Asian 24.63548
5629 99660 male 75 NA NA NH White NA
5630 99661 female 48 158.3 62.0 NH Black 24.74172
5631 99662 female 65 164.9 98.2 NH Black 36.11355
5632 99663 male 15 184.4 59.1 NH White 17.38064
5633 99664 female 4 113.0 19.8 NH White 15.50630
5634 99665 female 46 152.0 69.4 NH Asian 30.03809
5635 99666 male 4 107.2 20.4 Other/Mixed 17.75173
5636 99667 male 3 91.9 15.4 Mexican 18.23433
5637 99668 male 63 179.2 89.1 NH Black 27.74608
5638 99669 female 11 148.3 43.5 Other Hispanic 19.77912
5639 99670 male 66 174.2 96.3 NH Black 31.73438
5640 99671 female 8 150.0 43.2 NH Black 19.20000
5641 99672 female 32 157.6 59.5 NH Asian 23.95546
5642 99673 female 2 88.0 12.6 NH White 16.27066
5643 99674 male 71 167.6 85.2 NH White 30.33134
5644 99675 female 53 151.3 103.3 NH White 45.12555
5645 99676 female 51 154.1 60.8 Other Hispanic 25.60344
5646 99677 male 14 175.9 57.7 NH Black 18.64851
5647 99678 female 38 159.6 63.1 NH Asian 24.77214
5648 99679 male 61 172.9 90.1 Other Hispanic 30.13941
5649 99680 male 62 174.4 72.5 NH Black 23.83664
5650 99681 female 13 169.5 77.1 NH White 26.83583
5651 99682 male 80 178.3 82.1 NH White 25.82501
5652 99683 female 80 147.0 73.3 NH White 33.92105
5653 99684 female 64 144.1 49.7 NH Asian 23.93472
5654 99686 male 40 188.6 78.9 NH Black 22.18164
5655 99687 male 8 127.4 24.4 NH White 15.03318
5656 99688 male 7 123.1 20.9 NH Asian 13.79209
5657 99689 male 28 180.9 77.4 NH White 23.65178
5658 99690 female 10 150.8 50.7 NH Black 22.29489
5659 99691 female 44 166.0 64.9 Mexican 23.55204
5660 99692 male 3 100.0 14.7 NH White 14.70000
5661 99693 female 0 NA 8.5 Mexican NA
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5663 99695 female 37 161.7 127.9 NH White 48.91595
5664 99696 female 14 160.3 53.4 Other Hispanic 20.78137
5665 99697 female 18 159.1 82.1 Mexican 32.43417
5666 99698 female 74 163.5 93.0 NH Black 34.78944
5667 99699 male 15 159.9 84.3 Mexican 32.97089
5668 99700 male 70 159.3 65.0 NH White 25.61426
5669 99701 male 1 NA 8.7 Mexican NA
5670 99702 male 65 183.7 68.2 NH Black 20.20999
5671 99703 female 80 155.7 61.1 NH White 25.20368
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5673 99705 female 40 159.1 90.2 Other Hispanic 35.63413
5674 99706 female 12 149.8 35.5 Mexican 15.81994
5675 99708 female 63 165.5 73.3 Other Hispanic 26.76135
5676 99709 male 26 179.8 74.7 NH Asian 23.10688
5677 99710 female 30 163.3 58.2 Other/Mixed 21.82482
5678 99711 female 58 160.7 72.3 NH Asian 27.99668
5679 99712 male 9 130.0 28.2 Other/Mixed 16.68639
5680 99713 male 14 173.1 52.6 NH White 17.55463
5681 99714 female 35 157.8 92.7 NH White 37.22766
5682 99715 female 24 160.5 122.1 NH Black 47.39861
5683 99716 male 35 162.8 77.1 Mexican 29.09012
5684 99717 female 60 157.7 72.8 NH Black 29.27305
5685 99718 female 10 149.5 48.3 NH White 21.61050
5686 99719 female 60 162.8 52.0 Other/Mixed 19.61980
5687 99720 male 53 176.7 80.2 NH Asian 25.68628
5688 99721 female 20 174.0 74.8 NH Black 24.70604
5689 99722 female 2 90.4 14.4 Mexican 17.62080
5690 99723 male 10 160.8 91.6 Other/Mixed 35.42610
5691 99724 male 56 175.5 84.5 NH White 27.43484
5692 99725 male 1 NA 12.8 NH White NA
5693 99726 female 77 154.8 61.1 NH White 25.49760
5694 99727 female 78 167.3 71.5 NH White 25.54549
5695 99728 female 15 160.9 58.4 Other Hispanic 22.55801
5696 99729 male 10 145.7 41.4 Other/Mixed 19.50209
5697 99730 male 9 145.6 31.4 NH Black 14.81177
5698 99731 male 4 109.5 21.4 NH Black 17.84783
5699 99732 female 13 164.3 65.5 NH White 24.26421
5700 99733 female 3 89.0 11.9 Other/Mixed 15.02336
5701 99734 male 8 128.8 23.3 NH Asian 14.04508
5702 99735 male 15 181.0 72.4 Other/Mixed 22.09945
5703 99736 male 62 175.8 96.9 NH Black 31.35350
5704 99737 female 14 157.8 77.9 NH Black 31.28409
5705 99738 male 7 130.3 27.0 NH Black 15.90285
5706 99739 male 17 179.3 57.5 NH Black 17.88575
5707 99740 male 64 164.7 59.4 NH White 21.89774
5708 99741 male 80 171.0 83.1 NH White 28.41900
5709 99742 male 79 173.3 100.5 Other/Mixed 33.46331
5710 99743 female 80 150.7 71.1 NH White 31.30712
5711 99744 female 51 172.3 67.0 NH White 22.56858
5712 99745 male 33 164.7 87.6 NH Asian 32.29363
5713 99746 female 2 96.7 14.3 NH White 15.29266
5714 99747 female 80 148.0 79.0 NH White 36.06647
5715 99748 female 0 NA 5.2 NH White NA
5716 99749 female 33 176.6 123.3 NH Black 39.53499
5717 99750 female 0 NA 4.2 Mexican NA
5718 99751 female 27 164.0 90.8 NH White 33.75967
5719 99752 male 1 NA 10.2 NH Black NA
5720 99753 female 9 142.6 32.6 NH Black 16.03166
5721 99754 male 36 167.2 79.6 NH White 28.47348
5722 99755 male 0 NA 6.7 NH White NA
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5724 99757 female 18 154.6 47.7 Other Hispanic 19.95719
5725 99758 female 80 160.3 71.4 NH White 27.78633
5726 99759 male 50 166.1 105.3 Mexican 38.16710
5727 99760 male 67 181.4 123.4 NH Black 37.50081
5728 99761 female 20 158.8 51.4 Other Hispanic 20.38272
5729 99762 female 55 170.5 81.7 Mexican 28.10433
5730 99763 female 54 154.6 57.7 Mexican 24.14109
5731 99765 female 46 160.0 66.6 Mexican 26.01562
5732 99766 male 49 167.7 70.9 NH Asian 25.21042
5733 99767 female 2 87.4 12.9 NH White 16.88756
5734 99768 female 28 166.4 120.0 NH White 43.33857
5735 99769 female 15 153.6 56.3 Other Hispanic 23.86305
5736 99770 male 16 162.4 55.3 Other/Mixed 20.96781
5737 99771 female 19 160.4 59.1 Other/Mixed 22.97094
5738 99772 female 43 161.0 133.0 NH Black 51.30975
5739 99773 male 16 171.9 100.6 Other/Mixed 34.04444
5740 99774 female 80 NA NA NH Asian NA
5741 99776 male 71 180.9 119.9 Mexican 36.63887
5742 99777 male 21 190.1 102.1 NH White 28.25280
5743 99778 male 46 175.6 69.2 Other/Mixed 22.44177
5744 99779 female 41 NA NA Mexican NA
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5746 99782 female 53 163.2 62.8 Mexican 23.57867
5747 99783 male 35 165.0 92.9 Mexican 34.12305
5748 99784 male 3 NA 19.5 NH White NA
5749 99785 female 80 153.7 81.8 NH White 34.62626
5750 99786 male 44 181.6 99.4 NH White 30.14079
5751 99787 female 0 NA 3.9 Other Hispanic NA
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5753 99789 male 0 NA 8.9 NH White NA
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5755 99791 male 8 127.8 37.1 NH Asian 22.71497
5756 99792 male 69 168.1 77.0 Other/Mixed 27.24930
5757 99793 female 26 164.3 78.2 NH White 28.96887
5758 99795 female 21 153.3 122.1 Other Hispanic 51.95548
5759 99797 male 65 177.2 54.8 NH White 17.45232
5760 99798 male 29 176.9 114.9 NH White 36.71676
5761 99799 female 16 163.8 66.0 Other Hispanic 24.59893
5762 99800 male 18 172.0 89.5 Other Hispanic 30.25284
5763 99802 female 12 155.8 52.1 Other/Mixed 21.46361
5764 99803 female 13 161.2 58.0 NH Asian 22.32019
5765 99804 male 61 181.6 95.8 NH White 29.04918
5766 99805 male 0 NA 9.3 NH White NA
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5768 99807 male 27 168.2 76.9 Mexican 27.18156
5769 99808 female 39 158.7 77.0 Other Hispanic 30.57292
5770 99809 female 2 95.0 17.9 Mexican 19.83380
5771 99810 male 13 160.8 54.2 Mexican 20.96173
5772 99811 female 48 149.8 76.5 Mexican 34.09085
5773 99812 male 9 139.1 39.0 Other/Mixed 20.15628
5774 99813 male 48 173.3 77.5 NH Asian 25.80504
5775 99815 female 71 163.4 121.1 NH Black 45.35655
5776 99816 female 55 152.8 97.2 NH White 41.63126
5777 99817 female 57 165.3 72.5 NH Black 26.53336
5778 99818 male 11 149.1 53.3 NH Black 23.97573
5779 99819 male 50 175.7 89.8 NH White 29.08927
5780 99820 male 80 154.2 62.1 NH White 26.11697
5781 99822 female 28 166.2 52.4 NH Asian 18.97008
5782 99823 male 4 100.4 15.7 Mexican 15.57515
5783 99824 female 33 165.1 63.6 NH Asian 23.33259
5784 99825 male 67 183.3 109.2 NH Black 32.50107
5785 99826 male 16 186.4 119.8 NH White 34.47982
5786 99827 female 3 101.9 15.9 NH White 15.31259
5787 99828 female 16 155.5 39.3 NH Asian 16.25293
5788 99829 male 13 156.4 57.2 Other/Mixed 23.38420
5789 99830 male 18 175.7 71.8 NH Asian 23.25846
5790 99831 male 58 171.4 92.2 NH Black 31.38407
5791 99832 male 1 NA 12.5 NH White NA
5792 99833 male 70 161.6 69.6 NH White 26.65180
5793 99834 male 44 167.2 59.2 NH Asian 21.17626
5794 99836 male 13 170.7 62.2 NH Black 21.34634
5795 99837 male 5 112.1 18.5 NH Black 14.72179
5796 99838 female 48 152.4 83.7 NH White 36.03757
5797 99839 male 42 178.9 97.5 NH Black 30.46379
5798 99840 female 74 159.0 64.1 Other Hispanic 25.35501
5799 99841 male 21 155.4 71.7 NH Asian 29.69047
5800 99842 male 47 177.6 98.9 NH White 31.35526
5801 99843 female 1 NA 11.8 Other Hispanic NA
5802 99844 male 45 176.0 120.7 NH Black 38.96565
5803 99845 male 6 121.8 23.1 NH Asian 15.57103
5804 99846 male 2 94.4 14.4 NH White 16.15915
5805 99848 female 39 170.9 69.4 NH White 23.76158
5806 99849 male 3 95.7 15.4 Mexican 16.81500
5807 99850 male 4 105.1 17.9 NH White 16.20495
5808 99851 female 71 150.4 57.9 NH Asian 25.59664
5809 99852 female 21 169.3 85.8 NH Black 29.93459
5810 99853 male 14 179.5 83.6 Other/Mixed 25.94642
5811 99854 female 69 163.8 105.7 NH White 39.39555
5812 99855 male 34 167.3 108.9 NH Black 38.90774
5813 99856 male 54 166.9 85.8 NH Black 30.80169
5814 99857 female 36 153.3 86.6 Mexican 36.84967
5815 99858 male 58 182.4 136.6 NH White 41.05831
5816 99859 male 4 107.7 17.9 NH White 15.43198
5817 99861 female 30 164.6 56.2 NH Asian 20.74324
5818 99862 male 1 NA 10.8 Other/Mixed NA
5819 99864 female 36 168.3 124.3 NH White 43.88367
5820 99866 male 61 179.2 150.9 NH White 46.99084
5821 99867 male 29 166.9 66.4 NH White 23.83721
5822 99868 female 70 153.3 92.5 NH White 39.36021
5823 99869 male 24 174.3 77.4 NH White 25.47688
5824 99870 male 80 174.7 96.3 NH White 31.55299
5825 99871 female 25 161.6 99.5 Mexican 38.10135
5826 99872 female 31 165.5 88.5 NH White 32.31077
5827 99873 male 49 161.4 67.8 NH Asian 26.02691
5828 99874 male 60 161.1 62.0 NH Asian 23.88915
5829 99875 female 15 156.2 102.1 NH Black 41.84694
5830 99876 male 25 180.9 100.3 NH White 30.64953
5831 99877 male 7 128.8 31.2 Mexican 18.80714
5832 99879 female 27 159.0 49.7 NH Black 19.65903
5833 99880 male 9 143.7 42.6 NH Black 20.62985
5834 99881 female 55 165.8 56.0 NH Asian 20.37131
5835 99882 female 13 159.2 60.4 NH Black 23.83147
5836 99883 male 51 169.4 83.7 Other Hispanic 29.16746
5837 99884 male 64 174.2 95.8 NH White 31.56961
5838 99885 female 30 177.7 75.7 NH Black 23.97292
5839 99886 female 63 164.1 68.3 NH White 25.36317
5840 99887 female 27 170.7 76.1 NH White 26.11666
5841 99889 female 8 126.6 25.8 Mexican 16.09727
5842 99890 female 68 158.1 99.0 NH White 39.60695
5843 99891 female 36 161.6 53.7 NH White 20.56324
5844 99892 female 19 165.4 58.0 NH White 21.20103
5845 99893 female 41 159.0 76.9 NH Black 30.41810
5846 99894 male 32 159.2 73.7 Mexican 29.07913
5847 99895 male 73 162.8 90.2 Other Hispanic 34.03280
5848 99896 male 47 163.4 79.9 Other Hispanic 29.92559
5849 99897 female 6 113.9 20.2 NH White 15.57055
5850 99898 male 33 187.2 142.4 NH White 40.63482
5851 99899 male 59 174.7 94.8 NH White 31.06151
5852 99900 male 50 173.2 76.8 NH Black 25.60150
5853 99901 female 36 159.2 110.7 NH Black 43.67787
5854 99902 male 12 165.9 85.1 Other Hispanic 30.91981
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5857 99907 female 66 149.5 58.5 NH White 26.17420
5858 99908 female 63 159.1 80.1 Mexican 31.64406
5859 99909 male 42 175.3 85.4 Other Hispanic 27.79035
5860 99910 female 30 156.4 56.4 NH White 23.05715
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5862 99912 male 12 168.7 74.1 Mexican 26.03683
5863 99913 male 74 177.0 109.0 Other Hispanic 34.79205
5864 99914 female 70 157.1 85.1 NH Black 34.48079
5865 99915 male 16 175.4 64.9 NH Asian 21.09529
5866 99916 male 5 NA NA Mexican NA
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5868 99918 female 33 160.4 67.2 NH Asian 26.11924
5869 99919 male 80 176.8 63.9 NH Black 20.44261
5870 99920 female 36 172.7 84.6 NH White 28.36519
5871 99921 female 14 157.6 69.9 NH White 28.14263
5872 99922 male 63 182.0 96.0 NH White 28.98201
5873 99923 male 6 125.9 24.4 NH White 15.39354
5874 99924 female 21 157.0 52.4 NH Asian 21.25847
5875 99925 male 38 173.0 82.9 Other Hispanic 27.69889
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5877 99927 male 25 152.1 110.1 Mexican 47.59144
5878 99928 male 29 168.7 128.0 Mexican 44.97589
5879 99929 male 39 187.8 95.9 NH White 27.19114
5880 99930 female 63 158.5 53.9 NH Asian 21.45508
5881 99931 female 20 155.4 58.1 NH Asian 24.05881
5882 99932 male 31 168.8 78.2 Mexican 27.44491
5883 99933 male 17 181.3 141.7 NH Black 43.10962
5884 99934 female 26 165.6 157.4 NH White 57.39632
5885 99935 female 42 170.2 91.0 Mexican 31.41393
5886 99936 male 0 NA 7.8 NH White NA
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5888 99938 female 37 161.6 51.5 NH Black 19.72080
5889 99939 female 39 160.5 62.1 NH Black 24.10691
5890 99940 male 8 129.9 41.5 NH Black 24.59404
5891 99941 female 56 160.2 85.1 NH Asian 33.15924
5892 99942 female 35 158.2 67.3 Mexican 26.89070
5893 99943 male 11 141.0 57.4 Other Hispanic 28.87179
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5895 99945 female 74 153.4 54.6 NH Asian 23.20288
5896 99946 male 0 NA 10.6 NH Black NA
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5898 99948 female 80 156.2 59.3 NH White 24.30483
5899 99949 female 21 154.6 80.8 NH Asian 33.80589
5900 99950 male 80 179.6 93.6 NH Black 29.01771
5901 99951 female 38 157.9 67.4 Other Hispanic 27.03309
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5903 99953 male 73 176.3 84.1 NH Black 27.05773
5904 99954 male 71 159.6 57.1 NH Asian 22.41663
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5906 99958 male 3 101.4 17.4 NH White 16.92284
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5909 99961 female 39 164.0 65.4 NH Asian 24.31588
5910 99963 male 0 NA 8.7 Mexican NA
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5912 99965 male 5 123.9 29.4 Other/Mixed 19.15158
5913 99966 female 46 153.5 55.7 NH Asian 23.63951
5914 99967 female 14 157.7 59.5 Other/Mixed 23.92509
5915 99968 female 19 155.4 85.1 NH White 35.23932
5916 99969 male 69 178.4 94.6 NH Black 29.72360
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5920 99973 male 14 172.4 69.9 NH White 23.51812
5921 99974 female 26 163.8 54.6 NH White 20.35002
5922 99975 male 11 169.8 84.6 NH White 29.34236
5923 99976 female 11 146.9 37.1 NH White 17.19216
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5929 99982 male 17 175.1 63.4 NH White 20.67840
5930 99983 female 33 171.6 150.6 NH Black 51.14350
5931 99984 female 54 164.9 87.7 Other Hispanic 32.25212
5932 99985 female 37 165.5 67.5 NH White 24.64381
5933 99986 female 31 162.3 101.9 Mexican 38.68451
5934 99987 male 58 161.4 86.3 NH Asian 33.12865
5935 99988 male 18 174.9 91.9 NH White 30.04249
5936 99989 female 21 166.1 89.2 Mexican 32.33148
5937 99990 male 80 172.1 97.7 NH White 32.98624
5938 99991 male 64 163.6 69.6 NH Black 26.00415
5939 99992 female 61 168.8 105.8 NH Black 37.13135
5940 99994 female 48 149.5 64.9 Mexican 29.03771
5941 99995 female 14 170.3 55.2 NH Black 19.03311
5942 99996 female 51 164.2 84.6 NH Black 31.37791
5943 99997 female 64 149.2 61.8 Mexican 27.76201
5944 99998 female 10 149.5 38.6 Mexican 17.27050
5945 99999 male 25 180.4 94.2 Mexican 28.94529
5946 100000 female 21 156.0 73.9 NH Black 30.36654
5947 100001 male 39 176.4 96.0 NH White 30.85134
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5950 100004 female 65 159.2 60.2 Other Hispanic 23.75256
5951 100005 male 0 NA 8.3 NH Black NA
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5953 100007 female 63 179.8 78.2 NH Black 24.18953
5954 100008 female 56 156.5 73.3 NH Asian 29.92783
5955 100009 female 19 153.5 86.5 NH White 36.71126
5956 100010 male 80 170.5 NA NH White NA
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5958 100012 male 51 170.2 130.7 NH White 45.11869
5959 100013 female 43 153.6 59.0 NH Asian 25.00746
5960 100014 female 19 155.9 57.5 NH Asian 23.65787
5961 100015 male 27 171.8 69.8 NH White 23.64880
5962 100016 male 36 167.4 82.8 NH Asian 29.54741
5963 100017 male 14 161.8 56.5 NH White 21.58199
5964 100018 male 22 178.0 66.9 NH White 21.11476
5965 100019 male 22 172.8 57.7 NH Black 19.32361
5966 100020 male 65 177.0 118.7 NH White 37.88822
5967 100021 female 11 142.2 38.4 NH White 18.99031
5968 100022 male 13 168.9 52.8 NH White 18.50864
5969 100024 female 39 170.1 91.2 NH White 31.52000
5970 100025 female 35 167.4 148.9 NH White 53.13538
5971 100026 female 22 161.0 75.4 Other/Mixed 29.08838
5972 100027 female 0 NA 7.5 NH Black NA
5973 100028 female 2 100.6 14.3 NH Black 14.12993
5974 100029 female 20 154.8 54.3 Mexican 22.65990
5975 100031 male 8 118.9 22.2 NH White 15.70324
5976 100032 female 27 152.5 48.0 NH Asian 20.63961
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5978 100034 female 0 NA 8.0 NH Black NA
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5983 100039 male 28 171.7 68.3 NH White 23.16755
5984 100040 male 24 181.0 112.3 Other/Mixed 34.27856
5985 100041 male 47 181.6 89.5 NH White 27.13884
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5987 100043 female 67 159.1 108.4 NH Black 42.82417
5988 100044 male 27 176.4 73.7 Mexican 23.68483
5989 100045 female 2 85.2 11.2 Other Hispanic 15.42904
5990 100046 male 51 177.3 107.6 Other/Mixed 34.22905
5991 100047 male 42 173.2 79.0 NH Black 26.33488
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5993 100049 female 13 150.2 42.9 Other Hispanic 19.01592
5994 100050 male 15 170.6 63.8 Other Hispanic 21.92111
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5996 100052 female 8 146.5 39.6 NH Black 18.45100
5997 100053 female 77 148.8 58.5 NH Asian 26.42105
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5999 100055 female 47 153.1 76.0 NH Asian 32.42375
6000 100056 male 57 189.5 132.5 Mexican 36.89754
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6011 100069 female 20 146.7 53.1 NH Asian 24.67370
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6014 100072 female 33 155.2 49.8 Mexican 20.67502
6015 100073 male 18 176.9 70.6 Other/Mixed 22.56052
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6017 100079 female 80 151.5 56.4 NH White 24.57275
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6019 100082 female 18 166.4 200.9 Other/Mixed 72.55599
6020 100083 female 80 152.0 51.6 NH White 22.33380
6021 100084 female 0 NA 4.8 Mexican NA
6022 100085 male 64 179.4 95.7 NH White 29.73494
6023 100086 male 1 NA 12.8 Other/Mixed NA
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6025 100088 male 75 168.4 78.3 Mexican 27.61071
6026 100089 female 24 154.5 50.1 NH White 20.98847
6027 100090 female 24 153.8 63.3 Mexican 26.76030
6028 100091 male 1 NA 13.8 Mexican NA
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6031 100094 female 66 154.8 113.0 NH Black 47.15595
6032 100095 female 27 167.6 94.4 Other Hispanic 33.60655
6033 100096 female 15 153.2 39.5 Other/Mixed 16.82982
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6036 100099 male 45 179.1 100.6 NH White 31.36222
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6039 100102 male 41 171.3 95.5 NH Asian 32.54533
6040 100103 male 61 176.2 103.9 Other Hispanic 33.46599
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6045 100108 female 27 173.8 71.5 NH White 23.67045
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6049 100112 female 57 155.7 50.6 Other Hispanic 20.87244
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6052 100115 female 47 159.6 72.4 NH White 28.42319
6053 100116 female 63 154.1 58.7 Other Hispanic 24.71911
6054 100117 female 29 154.9 64.6 NH Asian 26.92339
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6056 100119 female 47 162.5 116.1 NH White 43.96686
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6066 100129 male 72 164.4 85.1 Mexican 31.48661
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6068 100131 female 11 149.6 29.5 Mexican 13.18132
6069 100132 female 17 162.4 51.1 NH Black 19.37532
6070 100133 male 20 187.1 59.9 NH White 17.11115
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6072 100135 male 10 146.0 42.9 Other/Mixed 20.12573
6073 100136 male 67 NA 112.7 NH White NA
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6078 100141 male 17 177.1 76.7 NH White 24.45447
6079 100142 male 72 179.6 77.8 NH White 24.11942
6080 100143 female 80 152.0 84.1 NH White 36.40062
6081 100144 female 33 156.9 78.7 Other Hispanic 31.96898
6082 100145 female 45 159.5 69.3 Other Hispanic 27.24030
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6084 100147 female 6 123.2 34.2 Mexican 22.53226
6085 100148 female 22 170.6 61.2 Other Hispanic 21.02778
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6087 100150 female 51 153.3 66.9 Mexican 28.46701
6088 100151 male 60 173.3 106.5 Mexican 35.46112
6089 100152 female 34 157.6 73.6 NH Black 29.63230
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6093 100157 female 5 123.8 37.3 NH Black 24.33703
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6095 100159 male 6 125.9 25.0 NH Black 15.77206
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6097 100161 female 7 125.6 36.9 NH White 23.39091
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6104 100169 female 2 NA NA NH Asian NA
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6106 100171 female 28 158.2 70.7 Mexican 28.24922
6107 100172 female 42 162.1 83.1 NH White 31.62532
6108 100173 male 47 180.6 87.1 NH White 26.70439
6109 100174 female 17 162.5 64.2 Mexican 24.31243
6110 100175 male 33 180.2 87.8 NH Black 27.03865
6111 100177 female 10 142.4 27.1 NH White 13.36440
6112 100178 female 40 155.8 77.6 NH White 31.96884
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6114 100180 male 45 187.6 116.2 NH Black 33.01722
6115 100181 female 37 158.1 91.8 Mexican 36.72645
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6119 100185 male 63 184.8 94.9 Other/Mixed 27.78832
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6121 100187 male 8 NA NA NH Black NA
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6124 100191 female 42 161.8 71.2 NH White 27.19712
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6131 100198 male 0 NA 5.3 NH White NA
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6133 100200 female 43 162.7 104.5 Other/Mixed 39.47673
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6135 100202 female 22 156.4 85.7 Mexican 35.03542
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6137 100204 female 36 173.6 87.2 Other Hispanic 28.93457
6138 100205 male 48 178.6 109.3 NH Black 34.26551
6139 100206 female 62 158.6 95.4 Other Hispanic 37.92643
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6141 100208 male 17 170.5 69.8 NH Black 24.01080
6142 100210 female 60 163.3 99.3 NH White 37.23719
6143 100211 female 41 152.9 72.7 Mexican 31.09707
6144 100212 male 58 177.6 61.7 NH White 19.56137
6145 100213 male 66 181.3 85.9 NH White 26.13350
6146 100214 male 57 167.4 147.9 NH Black 52.77853
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6148 100217 male 12 141.3 29.4 NH White 14.72526
6149 100218 male 4 107.4 17.4 NH Asian 15.08484
6150 100219 male 74 181.1 101.2 NH Black 30.85628
6151 100220 female 3 94.5 14.2 NH Asian 15.90101
6152 100221 female 30 173.5 68.3 NH Black 22.68933
6153 100222 female 65 163.4 91.9 NH Black 34.42004
6154 100224 male 15 170.3 77.7 Mexican 26.79117
6155 100225 female 14 155.0 58.9 NH White 24.51613
6156 100226 female 11 150.9 49.6 Mexican 21.78227
6157 100227 female 5 103.1 17.9 Other Hispanic 16.83975
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6160 100230 female 59 144.5 73.1 Mexican 35.00916
6161 100231 female 69 154.2 118.5 Mexican 49.83674
6162 100232 male 8 133.0 39.9 NH Asian 22.55639
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6165 100235 male 77 165.6 70.9 NH White 25.85387
6166 100236 male 61 190.3 130.9 NH White 36.14615
6167 100237 female 9 129.8 28.2 Mexican 16.73785
6168 100238 male 58 173.5 91.8 NH White 30.49606
6169 100239 male 5 126.5 28.1 NH Black 17.56003
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6171 100241 female 36 161.4 55.5 NH White 21.30522
6172 100242 female 32 155.7 55.6 NH Black 22.93494
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6177 100247 female 61 159.2 99.1 Other Hispanic 39.10097
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6180 100250 female 57 172.5 78.0 NH White 26.21298
6181 100251 female 45 171.9 122.9 NH Black 41.59107
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6183 100253 male 30 177.1 91.1 Other Hispanic 29.04566
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6185 100255 male 13 169.5 80.6 NH White 28.05405
6186 100257 female 55 162.5 75.6 NH Asian 28.62959
6187 100258 female 25 159.5 88.4 NH White 34.74809
6188 100259 female 9 134.8 30.7 Mexican 16.89502
6189 100260 female 18 154.5 80.0 NH White 33.51452
6190 100261 female 80 156.3 80.3 NH White 32.86984
6191 100262 female 18 167.5 67.9 Mexican 24.20138
6192 100264 male 26 166.0 NA NH Black NA
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6194 100266 female 40 164.6 49.8 NH White 18.38102
6195 100267 female 0 NA 8.6 Other Hispanic NA
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6197 100269 female 24 163.3 76.4 NH White 28.64976
6198 100270 male 36 178.3 91.3 Other Hispanic 28.71892
6199 100271 female 36 159.8 81.1 NH White 31.75904
6200 100272 male 35 185.4 121.4 NH Asian 35.31825
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6202 100274 female 60 156.8 94.9 NH Asian 38.59883
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6204 100277 female 18 164.2 96.3 NH White 35.71741
6205 100278 female 75 167.3 84.6 NH White 30.22585
6206 100280 female 33 161.2 101.3 NH White 38.98337
6207 100281 female 59 152.9 97.7 NH White 41.79069
6208 100282 male 60 189.2 95.5 NH White 26.67848
6209 100283 female 65 149.4 99.6 Other Hispanic 44.62294
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6211 100286 female 45 170.1 96.1 NH Black 33.21351
6212 100287 female 18 157.3 54.5 Mexican 22.02617
6213 100288 female 43 162.1 106.2 NH Asian 40.41648
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6215 100290 male 1 NA 9.7 NH White NA
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6217 100292 female 56 155.0 125.5 Other/Mixed 52.23725
6218 100293 female 29 161.2 75.0 NH Black 28.86232
6219 100294 female 40 166.9 71.9 NH Black 25.81168
6220 100295 male 36 175.4 75.8 NH Black 24.63826
6221 100296 female 11 138.8 31.4 NH Black 16.29862
6222 100297 male 70 175.0 85.5 NH White 27.91837
6223 100298 female 47 168.8 103.6 NH Black 36.35925
6224 100299 female 27 165.7 112.1 NH Black 40.82823
6225 100300 female 14 NA NA NH Black NA
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6229 100305 male 48 176.2 120.6 NH Asian 38.84503
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6232 100308 female 2 88.3 13.3 NH Black 17.05808
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6234 100310 female 9 137.4 30.4 NH Black 16.10275
6235 100311 male 55 166.5 91.1 Mexican 32.86169
6236 100312 female 9 141.7 34.7 Other/Mixed 17.28183
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6238 100314 male 9 134.5 24.6 Other Hispanic 13.59849
6239 100315 male 62 177.9 104.1 Other Hispanic 32.89265
6240 100316 male 13 163.4 43.9 Other Hispanic 16.44222
6241 100317 female 3 97.4 14.2 Mexican 14.96823
6242 100318 male 41 175.5 112.4 Mexican 36.49321
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6245 100321 male 62 171.1 83.6 Mexican 28.55658
6246 100322 male 3 NA 18.9 Other/Mixed NA
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6248 100324 female 46 154.1 69.2 Other Hispanic 29.14076
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6251 100327 male 16 177.4 75.3 NH Black 23.92697
6252 100328 male 0 NA 8.3 Other/Mixed NA
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6260 100336 male 18 179.7 65.9 NH Black 20.40747
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6264 100340 female 5 107.9 18.7 Other Hispanic 16.06197
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6272 100348 female 49 156.1 84.8 NH Black 34.80087
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6275 100352 male 0 NA 9.3 Mexican NA
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6282 100360 female 12 152.1 51.2 NH White 22.13153
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6291 100369 female 55 147.2 61.0 NH Asian 28.15232
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6294 100372 female 1 NA 10.7 Mexican NA
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6296 100374 female 6 123.2 28.6 NH White 18.84276
6297 100375 male 10 140.1 31.3 NH Black 15.94660
6298 100376 male 49 178.0 84.9 NH Black 26.79586
6299 100377 male 47 160.9 69.6 NH Asian 26.88420
6300 100378 female 44 148.1 116.6 Other/Mixed 53.16042
6301 100379 male 14 176.7 67.0 NH White 21.45862
6302 100380 male 45 173.4 174.4 NH White 58.00271
6303 100381 female 2 99.2 14.4 NH White 14.63319
6304 100382 male 45 170.9 141.6 Other/Mixed 48.48184
6305 100383 male 0 NA 10.8 NH White NA
6306 100384 female 3 NA NA NH White NA
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6308 100388 female 56 150.5 96.3 NH White 42.51609
6309 100389 female 55 159.2 78.7 NH Black 31.05193
6310 100390 female 67 165.9 70.3 NH Black 25.54245
6311 100391 female 12 160.6 56.6 NH Black 21.94448
6312 100392 female 0 NA 9.1 NH Black NA
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6314 100395 female 77 154.9 79.5 NH Black 33.13327
6315 100396 female 65 153.8 62.3 Mexican 26.33755
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6317 100398 female 11 146.9 30.5 NH Asian 14.13371
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6325 100407 male 55 174.4 85.0 Other/Mixed 27.94641
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6327 100409 female 17 157.9 57.5 Other/Mixed 23.06235
6328 100410 female 58 165.5 88.1 Mexican 32.16473
6329 100411 male 68 179.9 80.5 NH Black 24.87331
6330 100412 female 65 159.5 75.2 Mexican 29.55946
6331 100413 male 15 171.7 47.1 NH Asian 15.97645
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6334 100416 female 2 87.6 12.9 NH White 16.81053
6335 100417 female 1 NA 13.4 NH Black NA
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6339 100421 female 50 159.4 57.8 Other Hispanic 22.74842
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6344 100426 male 1 NA 11.3 NH Black NA
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6351 100433 male 67 164.9 73.5 Other Hispanic 27.03000
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6353 100435 female 9 147.3 39.3 Other Hispanic 18.11286
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6357 100439 male 19 159.6 65.7 Other/Mixed 25.79287
6358 100440 female 28 154.3 61.3 Mexican 25.74712
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6361 100444 male 0 NA 7.2 Other Hispanic NA
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6363 100446 male 60 172.5 104.7 Other Hispanic 35.18589
6364 100447 male 50 181.6 92.1 NH White 27.92724
6365 100448 female 16 156.3 61.9 NH White 25.33802
6366 100449 female 0 NA 4.3 NH White NA
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6374 100459 female 2 84.5 11.4 NH White 15.96583
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6376 100461 female 19 160.4 52.9 Other/Mixed 20.56113
6377 100463 male 28 175.0 58.4 NH Black 19.06939
6378 100464 male 32 180.6 116.7 Other/Mixed 35.77959
6379 100465 female 30 153.5 82.6 NH Asian 35.05607
6380 100466 male 18 169.6 146.5 NH White 50.93144
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6382 100468 female 52 157.7 83.1 NH Black 33.41471
6383 100469 male 75 170.1 61.2 NH White 21.15158
6384 100470 male 17 171.0 51.2 NH Black 17.50966
6385 100471 female 1 NA 10.6 NH Black NA
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6388 100474 female 67 153.3 84.2 NH White 35.82843
6389 100475 male 6 121.7 22.7 NH Black 15.32656
6390 100476 female 38 158.9 56.9 NH Asian 22.53536
6391 100477 male 4 103.9 17.8 NH White 16.48879
6392 100478 male 8 129.7 32.9 Other Hispanic 19.55762
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6825 100943 female 42 158.4 96.6 Mexican 38.50054
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6828 100946 male 16 165.7 68.9 Other/Mixed 25.09425
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6834 100952 male 21 183.4 70.1 NH White 20.84104
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6842 100960 male 11 137.1 28.5 Mexican 15.16247
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6849 100968 female 65 152.3 111.9 Mexican 48.24255
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6858 100977 female 1 NA 11.6 NH Black NA
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6863 100983 female 42 154.5 72.1 NH Asian 30.20496
6864 100984 male 1 NA 9.8 Mexican NA
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6872 100992 male 27 176.0 105.1 Other Hispanic 33.92949
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6882 101003 male 56 170.2 86.1 Mexican 29.72241
6883 101004 male 29 177.3 58.6 NH White 18.64147
6884 101005 female 29 152.3 50.1 Other/Mixed 21.59921
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6886 101007 female 43 159.1 78.7 NH White 31.09098
6887 101008 female 1 NA 12.8 Mexican NA
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6889 101010 male 71 165.8 87.1 NH White 31.68466
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6892 101013 female 44 166.7 87.6 NH Black 31.52339
6893 101014 female 42 170.0 59.1 NH White 20.44983
6894 101015 female 80 156.5 69.7 NH White 28.45798
6895 101016 male 8 133.2 24.4 NH White 13.75249
6896 101017 male 65 169.6 58.1 NH White 20.19875
6897 101018 male 77 167.0 56.8 NH White 20.36645
6898 101019 male 49 184.7 111.1 NH White 32.56719
6899 101020 male 15 175.9 76.1 Other/Mixed 24.59535
6900 101021 male 61 172.5 92.4 NH Black 31.05230
6901 101022 male 75 171.3 131.2 NH Black 44.71149
6902 101023 male 52 175.1 77.4 Other/Mixed 25.24461
6903 101024 male 53 172.6 74.7 NH White 25.07489
6904 101025 female 23 166.9 68.2 NH Asian 24.48340
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6906 101027 male 55 NA NA NH White NA
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6909 101030 female 30 165.1 60.6 NH Asian 22.23200
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6913 101034 female 46 150.1 72.3 NH White 32.09053
6914 101035 female 15 155.6 56.2 NH White 23.21224
6915 101036 female 80 163.4 63.4 NH Black 23.74571
6916 101037 female 41 155.1 106.8 NH White 44.39639
6917 101039 male 14 161.8 59.2 NH Black 22.61334
6918 101040 male 61 166.7 89.8 NH Black 32.31507
6919 101041 female 4 97.6 15.3 Mexican 16.06171
6920 101042 male 13 164.7 47.0 NH Asian 17.32649
6921 101043 male 72 165.1 59.6 NH Asian 21.86513
6922 101044 female 3 97.2 14.5 Mexican 15.34742
6923 101045 female 17 157.6 46.5 Other/Mixed 18.72150
6924 101046 male 68 185.3 103.7 Other/Mixed 30.20146
6925 101047 male 18 167.8 58.0 Mexican 20.59890
6926 101048 male 15 175.8 68.8 NH Asian 22.26131
6927 101049 female 57 150.8 107.5 NH White 47.27220
6928 101051 male 57 177.1 82.9 NH Asian 26.43123
6929 101052 female 49 167.2 108.9 NH Black 38.95429
6930 101053 male 0 NA 8.5 NH Black NA
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6933 101058 female 9 129.6 26.7 NH White 15.89649
6934 101059 male 12 145.5 41.4 Other Hispanic 19.55574
6935 101060 male 71 172.8 100.5 NH White 33.65725
6936 101062 male 4 102.2 16.4 NH Asian 15.70153
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6938 101064 male 28 170.6 96.9 Other/Mixed 33.29398
6939 101065 female 44 172.6 71.1 Mexican 23.86646
6940 101066 male 5 113.2 19.1 NH Black 14.90529
6941 101067 male 16 164.3 54.2 NH Black 20.07817
6942 101068 female 55 154.8 47.2 NH White 19.69700
6943 101069 male 32 174.1 92.6 NH Black 30.55016
6944 101070 female 34 166.4 89.0 Mexican 32.14277
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6946 101072 male 2 NA NA Mexican NA
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6948 101075 male 67 165.3 86.5 Mexican 31.65705
6949 101076 female 22 158.6 58.8 Other/Mixed 23.37604
6950 101077 male 36 184.2 74.3 NH White 21.89826
6951 101078 male 62 180.8 101.5 NH Black 31.05054
6952 101079 female 51 155.0 46.4 NH Asian 19.31322
6953 101080 male 14 156.6 43.3 NH White 17.65649
6954 101081 female 13 154.0 59.6 NH White 25.13071
6955 101082 female 3 97.5 17.1 NH White 17.98817
6956 101083 male 17 177.0 67.8 NH Asian 21.64129
6957 101084 female 46 171.4 67.3 NH White 22.90833
6958 101085 male 31 185.5 137.7 Other/Mixed 40.01715
6959 101086 male 32 179.6 104.5 Other/Mixed 32.39691
6960 101087 female 51 159.7 47.6 NH White 18.66367
6961 101088 female 80 165.2 87.8 NH White 32.17173
6962 101089 female 19 159.7 125.7 Mexican 49.28621
6963 101090 female 17 163.8 62.8 Mexican 23.40625
6964 101091 female 58 161.8 98.9 NH Black 37.77803
6965 101092 male 13 161.5 48.3 NH Black 18.51834
6966 101093 female 63 164.5 104.9 NH Black 38.76535
6967 101094 male 14 166.8 66.7 Mexican 23.97363
6968 101095 female 56 162.9 47.1 NH Asian 17.74920
6969 101096 female 56 156.0 81.0 Other Hispanic 33.28402
6970 101097 female 39 155.3 76.4 Other Hispanic 31.67747
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6972 101099 female 23 159.8 90.9 NH White 35.59675
6973 101100 female 10 154.4 51.7 NH Black 21.68682
6974 101101 male 22 177.7 83.4 NH White 26.41139
6975 101102 male 80 175.6 90.8 NH White 29.44671
6976 101103 female 53 157.9 79.2 NH Black 31.76588
6977 101104 female 0 NA 5.2 NH Black NA
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6979 101107 female 44 158.0 68.8 Mexican 27.55969
6980 101108 female 59 151.9 52.3 Other/Mixed 22.66659
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6983 101112 female 45 158.4 48.7 NH Asian 19.40969
6984 101113 female 19 160.3 65.1 NH White 25.33459
6985 101114 female 11 158.6 52.4 NH White 20.83171
6986 101115 female 36 168.1 107.7 NH Black 38.11363
6987 101116 female 1 NA 9.7 NH White NA
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6990 101119 female 48 149.2 76.8 Mexican 34.50036
6991 101120 female 80 149.5 51.6 NH White 23.08699
6992 101121 male 0 NA 9.9 NH Black NA
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6994 101123 female 59 168.4 49.6 NH White 17.49031
6995 101124 male 76 176.3 94.5 NH White 30.40375
6996 101125 female 33 155.7 60.3 NH White 24.87368
6997 101126 male 37 182.3 135.6 NH White 40.80246
6998 101127 male 25 185.6 145.9 Other/Mixed 42.35448
6999 101128 female 6 123.0 34.6 Mexican 22.86998
7000 101129 male 2 90.7 13.2 NH White 16.04573
7001 101130 female 19 161.8 54.6 Other Hispanic 20.85622
7002 101131 male 15 168.1 50.1 NH White 17.72974
7003 101132 male 31 172.0 81.0 NH Asian 27.37966
7004 101133 male 2 92.4 12.6 Other/Mixed 14.75797
7005 101134 female 30 161.4 83.9 NH White 32.20734
7006 101135 female 0 NA 5.8 Mexican NA
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7008 101137 male 5 111.0 18.4 Other/Mixed 14.93385
7009 101138 female 33 171.4 118.0 NH White 40.16617
7010 101139 female 33 163.6 70.2 NH White 26.22832
7011 101141 male 54 178.2 107.8 Mexican 33.94715
7012 101142 male 11 147.2 32.5 NH Black 14.99919
7013 101143 male 80 163.1 108.4 NH White 40.74941
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7020 101151 female 29 165.2 77.4 NH Black 28.36096
7021 101152 male 19 169.9 111.0 Mexican 38.45353
7022 101153 male 42 188.3 136.4 NH Black 38.46925
7023 101154 male 0 NA 7.5 Mexican NA
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7025 101156 female 11 150.7 39.6 NH Asian 17.43688
7026 101157 female 7 123.5 20.4 NH Asian 13.37508
7027 101158 male 7 131.4 29.1 Other/Mixed 16.85397
7028 101159 female 17 155.6 67.9 Other/Mixed 28.04469
7029 101160 female 49 151.4 65.7 Mexican 28.66247
7030 101162 male 62 164.5 71.5 NH Black 26.42252
7031 101163 female 60 155.0 67.1 NH Black 27.92924
7032 101164 female 26 158.8 51.4 NH Asian 20.38272
7033 101165 male 1 NA 11.9 Other Hispanic NA
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7035 101168 female 18 163.0 47.1 NH White 17.72743
7036 101169 female 58 157.6 69.4 NH Black 27.94133
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7038 101171 female 47 159.5 63.1 NH White 24.80322
7039 101173 female 66 155.3 52.4 NH White 21.72643
7040 101174 male 35 183.8 87.2 NH Black 25.81223
7041 101175 male 55 172.3 90.0 NH White 30.31600
7042 101176 female 80 154.8 60.1 NH Black 25.08029
7043 101177 male 64 165.0 66.5 Mexican 24.42608
7044 101178 female 0 NA 6.1 Other/Mixed NA
7045 101179 female 62 151.1 53.3 Mexican 23.34524
7046 101180 female 80 168.7 76.7 NH White 26.95040
7047 101181 female 50 156.7 61.9 Other Hispanic 25.20883
7048 101182 male 58 173.1 86.2 NH Black 28.76823
7049 101183 female 80 153.2 82.7 NH White 35.23611
7050 101184 female 9 152.1 41.4 NH Black 17.89542
7051 101185 female 57 156.7 70.1 NH Asian 28.54829
7052 101186 male 35 171.5 96.6 Other Hispanic 32.84346
7053 101187 male 33 161.2 72.0 Mexican 27.70782
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7055 101191 female 35 158.5 76.9 NH White 30.61032
7056 101192 female 7 124.1 24.1 Other Hispanic 15.64853
7057 101193 male 63 169.7 74.4 Other Hispanic 25.83505
7058 101194 female 48 168.3 91.8 NH White 32.40966
7059 101195 female 71 169.1 74.0 NH White 25.87882
7060 101196 female 71 157.0 69.3 NH Black 28.11473
7061 101197 male 14 179.5 78.6 NH Black 24.39460
7062 101198 female 2 86.8 12.9 NH Black 17.12183
7063 101199 female 61 153.4 47.2 NH White 20.05817
7064 101200 male 73 175.7 67.1 NH White 21.73597
7065 101201 male 55 168.6 74.6 NH Asian 26.24362
7066 101202 male 9 140.3 30.4 Mexican 15.44394
7067 101203 male 14 167.2 52.0 NH White 18.60076
7068 101204 male 80 182.3 89.9 NH White 27.05119
7069 101205 female 14 160.2 73.1 NH Black 28.48343
7070 101206 male 34 167.0 80.0 Mexican 28.68514
7071 101207 female 70 NA NA NH White NA
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7074 101210 female 0 NA 5.0 NH White NA
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7076 101212 female 62 156.6 95.5 NH Asian 38.94214
7077 101213 male 60 179.2 134.4 NH White 41.85268
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7083 101219 female 8 129.4 27.0 NH White 16.12483
7084 101220 female 35 155.7 72.8 NH Asian 30.02992
7085 101221 male 54 178.6 121.0 NH Black 37.93346
7086 101222 male 48 167.9 96.1 Other/Mixed 34.08961
7087 101224 male 13 150.7 77.3 NH White 34.03713
7088 101226 male 44 167.7 83.5 NH Asian 29.69069
7089 101227 male 60 188.2 110.7 NH Black 31.25420
7090 101228 female 30 159.4 65.6 NH White 25.81827
7091 101229 female 38 151.6 74.5 Mexican 32.41588
7092 101230 female 50 159.0 77.3 NH Black 30.57632
7093 101231 female 14 167.0 62.2 NH White 22.30270
7094 101232 male 65 178.6 93.2 NH White 29.21817
7095 101233 male 17 178.1 77.5 Mexican 24.43284
7096 101234 female 9 137.7 38.7 Other/Mixed 20.41000
7097 101235 male 1 NA 13.3 NH White NA
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7100 101238 male 36 174.2 80.4 Other Hispanic 26.49475
7101 101239 female 80 156.4 52.3 NH White 21.38101
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7103 101241 male 27 171.1 91.3 NH Asian 31.18680
7104 101242 female 57 153.8 65.1 NH White 27.52126
7105 101243 male 63 174.1 76.7 NH White 25.30450
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7109 101247 male 38 166.8 64.1 NH Asian 23.03912
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7112 101250 female 38 171.1 92.5 NH White 31.59670
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7114 101252 female 33 157.0 98.5 Other/Mixed 39.96105
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7116 101254 female 29 163.5 51.7 NH Black 19.33994
7117 101255 female 62 157.9 76.4 NH Black 30.64285
7118 101256 female 34 161.9 138.6 NH Black 52.87733
7119 101257 female 6 123.5 35.9 NH White 23.53751
7120 101258 male 45 168.7 112.6 NH White 39.56473
7121 101259 male 12 154.0 68.0 NH Asian 28.67263
7122 101260 female 80 154.4 59.4 NH White 24.91678
7123 101261 female 5 116.3 22.8 Other/Mixed 16.85681
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7125 101263 male 16 181.9 77.0 NH White 23.27155
7126 101264 male 31 180.0 73.1 NH Asian 22.56173
7127 101265 female 47 161.7 68.2 NH Black 26.08341
7128 101266 female 67 152.9 81.5 NH Black 34.86122
7129 101267 female 7 122.1 22.1 NH Black 14.82385
7130 101268 male 2 85.7 12.1 NH White 16.47494
7131 101269 male 9 138.6 32.6 NH White 16.97036
7132 101270 female 11 154.6 35.8 NH White 14.97835
7133 101271 male 6 121.5 22.4 NH White 15.17384
7134 101272 female 11 162.7 90.2 Mexican 34.07465
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7143 101282 male 60 178.8 108.2 NH White 33.84482
7144 101283 female 56 158.8 106.2 NH Black 42.11371
7145 101284 female 65 165.1 84.0 NH Black 30.81663
7146 101285 male 30 181.1 112.1 NH White 34.17974
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7150 101289 female 26 155.5 84.5 Mexican 34.94588
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7152 101291 female 61 157.4 66.6 Other/Mixed 26.88220
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7154 101294 female 39 161.6 95.3 NH Black 36.49305
7155 101295 male 16 173.4 64.5 NH Asian 21.45169
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7158 101298 female 60 159.6 82.7 Other/Mixed 32.46682
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7169 101309 male 1 NA 12.6 Mexican NA
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7175 101315 male 15 173.6 57.1 NH White 18.94683
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7178 101318 female 18 161.2 53.1 NH White 20.43452
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7180 101320 male 80 182.4 75.4 NH White 22.66322
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7183 101323 female 74 162.2 104.7 NH Black 39.79651
7184 101324 male 35 177.6 78.2 NH Black 24.79253
7185 101325 female 8 128.3 41.3 NH Black 25.08977
7186 101326 female 16 155.1 55.0 NH Asian 22.86331
7187 101327 female 52 174.1 79.1 NH White 26.09630
7188 101328 female 67 166.0 69.5 Other/Mixed 25.22137
7189 101329 female 16 173.2 69.2 NH White 23.06802
7190 101330 female 22 164.5 58.7 NH White 21.69233
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7194 101335 male 80 170.9 74.0 NH Black 25.33656
7195 101336 female 72 160.6 67.4 NH White 26.13177
7196 101337 male 13 NA NA NH White NA
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7199 101340 male 80 176.7 95.7 NH White 30.65059
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7201 101342 female 41 167.7 159.9 NH White 56.85679
7202 101343 male 80 171.4 84.3 NH White 28.69498
7203 101344 female 16 153.0 48.2 Other/Mixed 20.59037
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7206 101347 female 0 NA 4.0 NH Black NA
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7209 101350 male 46 169.2 119.3 NH White 41.67156
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7211 101352 male 16 166.1 54.2 NH White 19.64536
7212 101353 male 0 NA 4.7 NH White NA
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8047 102250 male 34 177.0 85.8 NH White 27.38677
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8075 102279 male 38 184.4 108.0 Mexican 31.76157
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8157 102367 female 66 NA NA NH Black NA
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8160 102370 female 80 163.0 67.1 NH White 25.25500
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8184 102396 male 45 180.3 101.7 Other/Mixed 31.28452
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8210 102425 male 33 173.7 111.2 Other/Mixed 36.85574
8211 102426 male 10 132.4 31.9 Other/Mixed 18.19763
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8220 102436 female 56 161.1 60.2 NH White 23.19559
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8224 102441 female 13 150.2 39.7 NH White 17.59749
8225 102442 female 62 154.2 68.6 NH White 28.85063
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8243 102461 female 28 148.8 54.3 NH Asian 24.52415
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8247 102465 male 79 162.0 65.4 NH Asian 24.91998
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8249 102467 female 58 162.4 92.0 NH Black 34.88316
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8263 102482 male 36 165.3 89.5 NH White 32.75498
8264 102483 female 60 164.9 99.6 NH White 36.62841
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8360 102590 male 80 NA NA NH White NA
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8364 102595 female 18 168.7 75.3 NH White 26.45848
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8390 102623 male 66 169.6 81.7 NH White 28.40340
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8418 102651 female 71 154.7 69.2 NH White 28.91515
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8435 102668 female 39 159.5 45.0 NH White 17.68851
8436 102669 male 32 180.7 64.2 NH Black 19.66159
8437 102670 female 0 NA 8.2 Other Hispanic NA
8438 102671 male 80 NA NA NH White NA
8439 102672 female 21 172.6 65.2 NH Black 21.88598
8440 102673 female 47 158.5 45.8 NH Asian 18.23085
8441 102674 male 26 163.6 91.0 NH White 33.99968
8442 102675 male 22 180.1 72.2 NH Black 22.25921
8443 102676 male 22 173.9 72.5 Other/Mixed 23.97391
8444 102677 male 60 170.5 70.4 NH White 24.21720
8445 102678 male 6 118.0 23.6 Other/Mixed 16.94915
8446 102679 male 80 182.6 97.6 NH White 29.27172
8447 102680 male 80 182.9 76.2 NH White 22.77863
8448 102682 female 33 158.4 72.6 NH Asian 28.93519
8449 102683 male 65 168.1 91.3 Mexican 32.30988
8450 102684 male 34 NA NA NH Asian NA
8451 102685 male 39 180.8 111.7 NH White 34.17089
8452 102686 female 51 150.8 65.7 NH White 28.89101
8453 102687 female 64 167.6 74.0 NH Black 26.34412
8454 102688 female 53 169.4 80.3 NH White 27.98264
8455 102689 male 24 172.5 48.4 NH White 16.26549
8456 102690 male 9 135.2 27.3 NH Black 14.93514
8457 102691 female 8 139.4 28.9 NH White 14.87210
8458 102692 male 12 167.4 71.8 NH White 25.62203
8459 102693 female 7 124.7 22.3 Other Hispanic 14.34075
8460 102694 female 55 156.3 81.5 NH White 33.36105
8461 102695 female 14 152.7 52.6 Other/Mixed 22.55837
8462 102696 male 67 176.1 96.8 NH Black 31.21452
8463 102697 male 75 178.1 71.3 NH Black 22.47821
8464 102698 male 14 151.6 58.2 Other Hispanic 25.32355
8465 102699 male 12 144.1 35.2 NH Asian 16.95176
8466 102701 female 61 166.6 65.4 NH White 23.56285
8467 102702 male 75 178.2 97.7 NH White 30.76658
8468 102703 female 12 162.0 48.7 Mexican 18.55662
8469 102704 female 52 163.4 98.4 NH White 36.85454
8470 102705 female 17 162.2 55.3 NH White 21.01955
8471 102706 male 40 174.5 73.5 NH Asian 24.13773
8472 102707 male 27 179.4 118.6 NH White 36.85020
8473 102708 male 80 174.6 85.8 NH White 28.14484
8474 102709 male 17 154.6 52.0 Other Hispanic 21.75627
8475 102710 female 73 157.3 82.2 NH White 33.22113
8476 102711 male 2 92.1 14.1 NH White 16.62263
8477 102712 female 8 129.6 22.1 Other/Mixed 13.15777
8478 102713 female 23 171.0 68.9 NH Black 23.56281
8479 102714 male 14 161.0 86.4 Mexican 33.33205
8480 102715 female 7 117.0 24.6 Other Hispanic 17.97063
8481 102716 male 13 163.2 44.0 Other Hispanic 16.52009
8482 102718 male 20 159.4 83.0 Mexican 32.66641
8483 102720 male 59 181.8 98.2 NH White 29.71144
8484 102721 female 53 157.1 69.2 Other Hispanic 28.03843
8485 102722 female 62 154.9 68.8 Mexican 28.67382
8486 102723 female 63 162.5 83.0 NH Asian 31.43195
8487 102724 male 43 167.4 86.8 Mexican 30.97482
8488 102725 female 16 160.3 75.1 NH White 29.22624
8489 102726 male 62 178.4 100.5 NH Black 31.57740
8490 102727 male 8 131.9 30.7 Other Hispanic 17.64610
8491 102728 male 16 179.6 72.5 NH White 22.47633
8492 102729 female 61 160.3 53.5 NH White 20.82029
8493 102730 male 54 165.0 88.7 NH Asian 32.58035
8494 102731 male 80 164.0 62.5 NH White 23.23766
8495 102732 male 70 189.1 105.0 NH White 29.36339
8496 102733 male 61 184.2 97.9 NH Black 28.85383
8497 102734 female 12 148.4 30.3 NH Black 13.75862
8498 102735 female 17 171.2 126.0 NH Black 42.98956
8499 102737 female 50 169.0 85.4 NH White 29.90091
8500 102741 female 18 166.6 107.5 NH Asian 38.73098
8501 102743 male 45 169.8 93.7 Mexican 32.49857
8502 102744 female 7 133.9 43.6 Other Hispanic 24.31786
8503 102745 male 6 121.0 22.5 NH Asian 15.36780
8504 102746 male 23 179.1 63.0 NH White 19.64036
8505 102747 female 57 166.7 67.5 NH White 24.29028
8506 102748 male 9 125.2 21.3 Other/Mixed 13.58848
8507 102749 male 5 124.3 21.2 NH Asian 13.72125
8508 102750 male 50 167.2 88.6 NH Asian 31.69284
8509 102752 female 1 NA 13.3 Other Hispanic NA
8510 102753 male 50 174.1 92.6 NH White 30.55016
8511 102754 male 50 176.8 96.8 NH Black 30.96783
8512 102755 male 13 159.4 78.0 Other Hispanic 30.69856
8513 102756 male 34 170.9 77.7 NH White 26.60338
8514 102757 male 10 136.4 33.6 NH White 18.05970
8515 102758 female 46 155.4 55.8 NH Asian 23.10639
8516 102759 female 47 178.9 69.6 NH White 21.74646
8517 102760 female 0 NA 5.4 Mexican NA
8518 102761 male 25 165.3 71.6 NH Black 26.20398
8519 102762 male 20 191.5 144.4 NH White 39.37582
8520 102763 male 62 182.8 97.1 Other Hispanic 29.05808
8521 102764 male 0 NA 9.5 Mexican NA
8522 102765 male 10 138.8 31.6 NH Black 16.40243
8523 102766 female 46 150.8 47.0 NH Asian 20.66784
8524 102767 female 10 135.1 28.0 NH White 15.34078
8525 102768 male 49 178.4 102.2 NH White 32.11154
8526 102769 male 12 157.9 58.6 NH Black 23.50354
8527 102770 female 12 156.4 72.2 Mexican 29.51642
8528 102771 female 60 160.6 105.2 Mexican 40.78727
8529 102772 male 56 176.2 101.8 NH White 32.78959
8530 102773 female 63 169.8 54.3 NH White 18.83321
8531 102774 female 2 NA 14.6 NH Black NA
8532 102775 male 58 176.3 127.4 NH White 40.98876
8533 102776 male 35 171.9 86.5 NH White 29.27281
8534 102777 female 60 156.0 79.6 NH White 32.70874
8535 102778 female 67 161.3 219.6 NH Black 84.40411
8536 102779 male 57 168.8 90.8 NH White 31.86698
8537 102780 male 6 121.8 20.6 NH Black 13.88586
8538 102781 male 24 182.9 79.5 Mexican 23.76510
8539 102782 male 6 115.4 19.8 NH Black 14.86803
8540 102783 female 52 156.8 64.8 NH Asian 26.35621
8541 102784 male 6 120.6 30.6 Other Hispanic 21.03908
8542 102785 female 54 159.1 62.2 NH White 24.57254
8543 102786 female 46 155.8 57.2 NH Asian 23.56466
8544 102787 male 4 114.6 20.7 NH Black 15.76163
8545 102788 female 42 160.6 86.4 NH Black 33.49829
8546 102789 male 61 171.0 90.2 Mexican 30.84710
8547 102790 male 47 173.3 85.8 NH White 28.56868
8548 102791 male 61 184.3 101.8 NH Black 29.97072
8549 102792 male 61 175.7 92.0 NH White 29.80192
8550 102793 female 30 155.1 105.7 NH White 43.93912
8551 102794 male 67 177.9 96.7 Other Hispanic 30.55446
8552 102795 male 4 107.0 17.5 NH White 15.28518
8553 102796 male 7 113.2 22.8 NH White 17.79271
8554 102797 male 20 181.5 65.9 NH Black 20.00471
8555 102798 female 57 164.8 88.6 Other Hispanic 32.62266
8556 102799 female 62 151.1 54.3 NH Asian 23.78323
8557 102800 male 65 172.0 69.7 NH White 23.56003
8558 102801 female 58 154.2 83.4 NH Black 35.07497
8559 102802 male 25 174.8 69.0 NH Asian 22.58220
8560 102803 female 9 132.2 28.3 NH Black 16.19286
8561 102805 male 60 180.0 70.6 NH Black 21.79012
8562 102806 female 2 83.8 10.1 NH Black 14.38247
8563 102807 male 79 182.2 130.0 NH Black 39.16035
8564 102808 male 62 165.0 94.1 NH Black 34.56382
8565 102809 male 24 172.9 90.5 Mexican 30.27322
8566 102810 female 16 158.5 95.6 Other Hispanic 38.05392
8567 102811 female 41 164.4 65.8 Mexican 24.34570
8568 102812 female 4 103.2 16.2 NH White 15.21092
8569 102813 male 0 NA 7.1 NH White NA
8570 102814 male 11 147.4 57.7 Mexican 26.55711
8571 102815 male 80 164.8 50.9 NH White 18.74146
8572 102816 female 42 152.3 75.3 Other Hispanic 32.46349
8573 102817 male 2 94.0 14.3 NH White 16.18379
8574 102818 male 4 112.3 21.1 NH Black 16.73104
8575 102819 female 48 164.6 70.9 NH White 26.16897
8576 102820 female 57 167.0 74.6 Mexican 26.74890
8577 102821 female 35 178.0 80.0 NH Black 25.24934
8578 102822 female 16 160.4 51.2 NH Asian 19.90037
8579 102823 female 55 160.3 64.2 Other Hispanic 24.98435
8580 102824 female 0 NA 9.8 NH White NA
8581 102826 female 58 149.1 72.7 Mexican 32.70236
8582 102827 male 14 175.1 78.9 NH White 25.73385
8583 102828 female 80 152.5 80.2 NH Black 34.48535
8584 102829 male 2 91.2 14.2 NH White 17.07256
8585 102830 male 8 143.9 54.9 NH White 26.51250
8586 102831 female 51 145.1 57.9 NH Asian 27.50070
8587 102832 male 29 173.9 65.5 NH White 21.65919
8588 102833 male 25 168.8 77.1 NH Black 27.05886
8589 102834 male 57 181.1 111.4 NH Black 33.96630
8590 102835 female 67 156.8 89.6 NH Black 36.44315
8591 102836 male 40 165.1 93.4 Mexican 34.26516
8592 102837 female 19 165.9 70.2 Other Hispanic 25.50612
8593 102838 male 41 179.8 102.0 Other/Mixed 31.55156
8594 102839 male 1 NA 13.0 NH White NA
8595 102840 male 0 NA 8.2 NH White NA
8596 102841 male 78 167.8 79.5 Other Hispanic 28.23470
8597 102842 male 7 128.9 27.2 Other/Mixed 16.37054
8598 102843 male 1 NA 10.2 Other/Mixed NA
8599 102844 male 2 89.0 14.5 Mexican 18.30577
8600 102845 male 63 170.9 63.8 NH Black 21.84422
8601 102846 female 61 161.0 65.8 NH White 25.38482
8602 102847 female 30 155.6 62.7 NH White 25.89693
8603 102848 male 1 NA 11.1 NH White NA
8604 102849 male 29 185.0 81.3 NH Asian 23.75457
8605 102850 male 54 168.2 125.3 Other Hispanic 44.28933
8606 102851 male 58 183.1 105.5 Mexican 31.46848
8607 102852 female 10 141.1 37.4 Mexican 18.78528
8608 102853 male 45 166.0 61.9 NH White 22.46335
8609 102854 male 45 164.6 110.7 Other/Mixed 40.85902
8610 102855 male 61 169.7 76.2 NH Asian 26.46009
8611 102856 male 80 155.1 47.3 NH Asian 19.66245
8612 102857 female 14 159.8 60.3 Mexican 23.61368
8613 102858 male 36 168.9 97.5 NH Asian 34.17790
8614 102859 female 8 138.1 45.5 NH White 23.85745
8615 102860 male 63 163.8 69.5 NH Asian 25.90341
8616 102861 female 41 164.6 156.3 NH Black 57.68984
8617 102862 female 0 NA 9.9 NH White NA
8618 102863 female 61 145.9 81.1 Mexican 38.09871
8619 102864 male 8 NA NA Other Hispanic NA
8620 102865 female 44 175.0 143.8 NH White 46.95510
8621 102866 female 73 164.6 83.4 NH White 30.78268
8622 102867 male 17 168.0 54.4 NH Asian 19.27438
8623 102868 female 70 154.1 54.7 NH Asian 23.03467
8624 102869 male 67 180.3 158.6 NH White 48.78786
8625 102870 female 51 159.2 67.0 NH Asian 26.43557
8626 102871 female 80 151.2 44.3 NH Asian 19.37761
8627 102872 female 44 169.6 76.5 NH Black 26.59560
8628 102873 male 66 174.0 118.1 NH Black 39.00779
8629 102875 male 61 170.2 74.3 NH White 25.64896
8630 102876 male 65 170.6 79.8 Other Hispanic 27.41857
8631 102877 female 17 161.9 68.7 Mexican 26.20976
8632 102878 male 61 171.5 102.4 Mexican 34.81543
8633 102879 male 21 169.6 122.3 NH White 42.51819
8634 102880 female 51 152.4 59.8 NH Asian 25.74727
8635 102881 male 4 112.0 19.4 NH Asian 15.46556
8636 102882 male 8 133.1 32.0 NH White 18.06317
8637 102883 male 80 171.5 89.5 NH White 30.42950
8638 102884 male 32 169.0 90.4 Mexican 31.65155
8639 102885 female 37 167.8 84.7 NH Black 30.08150
8640 102886 female 50 155.5 73.1 NH Asian 30.23128
8641 102887 female 60 159.1 94.1 NH Black 37.17485
8642 102889 male 47 177.8 99.9 Mexican 31.60108
8643 102890 male 80 175.5 86.5 NH Black 28.08419
8644 102891 male 9 136.9 36.5 Mexican 19.47538
8645 102892 female 42 164.8 118.2 Mexican 43.52142
8646 102893 female 44 164.6 73.8 NH White 27.23935
8647 102894 male 26 167.1 71.4 Other Hispanic 25.57086
8648 102895 male 43 181.8 117.8 NH Black 35.64163
8649 102896 male 3 91.1 13.8 NH Black 16.62809
8650 102897 male 1 NA 12.6 NH White NA
8651 102898 male 10 150.1 34.9 NH Black 15.49045
8652 102899 female 20 171.9 69.0 NH White 23.35056
8653 102900 male 6 119.5 23.3 Other Hispanic 16.31624
8654 102901 male 66 172.4 108.6 NH Black 36.53889
8655 102903 female 20 162.1 70.1 NH Black 26.67792
8656 102904 female 75 153.7 65.1 NH White 27.55708
8657 102905 female 13 156.4 68.6 NH White 28.04469
8658 102906 male 9 137.8 33.0 NH White 17.37863
8659 102907 female 47 162.0 73.2 NH Black 27.89209
8660 102908 male 51 172.4 73.3 NH White 24.66207
8661 102909 male 12 149.4 33.4 NH White 14.96392
8662 102910 male 71 178.2 97.5 NH White 30.70359
8663 102911 female 55 169.8 57.0 Other/Mixed 19.76967
8664 102912 female 11 155.0 66.9 NH White 27.84599
8665 102913 female 39 156.9 94.1 NH White 38.22467
8666 102914 female 73 149.1 48.7 NH Asian 21.90653
8667 102915 female 14 156.4 61.4 NH Black 25.10122
8668 102916 male 66 156.5 68.2 Other Hispanic 27.84554
8669 102917 female 61 167.8 69.2 NH Black 24.57662
8670 102918 male 33 169.3 64.3 NH White 22.43350
8671 102919 male 0 NA 7.2 NH White NA
8672 102920 female 62 159.6 73.0 Other Hispanic 28.65874
8673 102921 male 53 170.9 89.3 Mexican 30.57506
8674 102922 male 31 174.5 63.3 NH Black 20.78801
8675 102923 female 43 173.9 106.1 NH White 35.08457
8676 102924 female 75 172.0 129.2 NH White 43.67226
8677 102925 male 3 102.1 16.4 NH White 15.73231
8678 102926 female 15 158.7 51.4 Other/Mixed 20.40841
8679 102927 male 0 NA 9.1 NH White NA
8680 102929 male 60 183.0 116.7 NH Black 34.84726
8681 102930 female 2 92.8 15.2 NH Black 17.65012
8682 102932 female 3 96.8 16.3 NH White 17.39550
8683 102933 female 24 167.9 50.8 NH Black 18.02031
8684 102934 male 48 178.5 83.7 NH Black 26.26933
8685 102935 female 27 158.9 59.5 NH White 23.56509
8686 102936 male 1 NA 10.2 Other/Mixed NA
8687 102937 female 4 104.0 16.5 NH White 15.25518
8688 102938 female 5 116.3 22.5 NH White 16.63501
8689 102939 female 2 82.5 11.2 Other/Mixed 16.45546
8690 102941 female 14 147.1 43.6 Mexican 20.14935
8691 102942 female 0 NA 8.9 NH White NA
8692 102943 female 48 181.1 122.7 Mexican 37.41172
8693 102944 male 55 163.1 78.8 NH Asian 29.62227
8694 102945 male 15 173.6 66.5 Other Hispanic 22.06593
8695 102946 male 65 162.8 80.7 NH Asian 30.44842
8696 102947 male 75 170.4 73.2 NH Black 25.20995
8697 102948 female 31 162.0 52.9 NH White 20.15699
8698 102949 male 33 180.1 76.9 NH White 23.70822
8699 102951 male 4 108.9 23.8 NH White 20.06879
8700 102952 female 70 156.5 49.0 NH Asian 20.00633
8701 102953 male 42 164.9 97.4 Mexican 35.81935
8702 102954 female 41 162.6 69.1 NH Black 26.13587
8703 102955 female 14 156.6 111.9 NH Black 45.62959
8704 102956 male 38 175.8 111.5 NH White 36.07756
Zeilen in Gruppen einteilen: group_by
Mit group_by
teilt man die Zeilen einer Tabelle in Gruppen ein. Jeder Gruppe enthält diejenigen Zeilen, die in der/den als Gruppenvariable angegebene(n) Spalte(n) denselben Wert haben. Alle nachfolgenden Anweisungen werden dann für jede Gruppe getrennt ausgeführt.
%>%
fruit_tbl group_by( fruit )
# A tibble: 7 × 3
# Groups: fruit [3]
number fruit mass_in_gram
<int> <chr> <dbl>
1 1 apple 153
2 2 pear 122
3 3 apple 177
4 4 cherry 8
5 5 cherry 9
6 6 pear 129
7 7 pear 133
Die 7 Zeilen der Tabelle tbl
werden durch group_by( tbl, fruit )
in 3 Gruppen eingeteilt. Der Spalte fruit
(der sog. Gruppenvariablen) wird die Gruppenzugehöriigkeit entnommen: Die Gruppe apple
besteht also aus den Zeilen 1 und 3, die Gruppe cherry
aus den Zeilen 4 und 5, und die Gruppe pear
aus den Zeilen 3, 6 und 7.
Zeilen zusammenfassen: summarize
Mit summarize
fast man eine Gruppe von Zeilen (oder, bei eienr ungruppierten Tabelle, alle Zeilen) zu einer einzelnen Zeile zusammen, indem man eine Operation durchführt, die einen Vektor aus Werten zu einem einzelnen Wert zusammenfasst. Man kann mehrere zusammenfassende Operationen in einem summerize
angeben.
Beispiel ohne vorherige Gruppierung:
%>%
fruit_tbl summarise( number=n(), mean_mass = mean( mass_in_gram ) )
# A tibble: 1 × 2
number mean_mass
<int> <dbl>
1 7 104.
Beispiel mit vorheriger Gruppierung:
%>%
fruit_tbl group_by( fruit ) %>%
summarise( number=n(), mean_mass = mean( mass_in_gram ) )
# A tibble: 3 × 3
fruit number mean_mass
<chr> <int> <dbl>
1 apple 2 165
2 cherry 2 8.5
3 pear 3 128
Nach einem summerize
erhält man eine Tabelle, die nur noch die Spalten für die Gruppenvariablen und die Summarisierungs-Ergebnisse enthält.
group_by
gefolgt von mutate
Meist steht ein group_by
vor einem summerize
, aber es kann auch vor einem mutate
nützlich sein, wie das folgende Beispiel zeigt, wo wir für jede Zeile berechnen, wie die Frucht vom Mittelwert der Gruppe abweicht:
%>%
fruit_tbl group_by( fruit ) %>%
mutate( residual = mass_in_gram - mean(mass_in_gram) )
# A tibble: 7 × 4
# Groups: fruit [3]
number fruit mass_in_gram residual
<int> <chr> <dbl> <dbl>
1 1 apple 153 -12
2 2 pear 122 -6
3 3 apple 177 12
4 4 cherry 8 -0.5
5 5 cherry 9 0.5
6 6 pear 129 1
7 7 pear 133 5
Breite Tabelle zu langer Tabelle umformen: pivot_longer
Beispiel für eine “breite” Tabelle: Körpergewicht von 3 Probanden am ersten Tag verschiedener Monate:
tibble(
subject = c( "S1", "S2", "S3" ),
january = c( 61, 89, 95 ),
march = c( 64, 82, 94 ),
may = c( 69, 85, 90 ) ) -> wide_tbl
wide_tbl
# A tibble: 3 × 4
subject january march may
<chr> <dbl> <dbl> <dbl>
1 S1 61 64 69
2 S2 89 82 85
3 S3 95 94 90
Umformen zu langer Tabelle:
%>%
wide_tbl pivot_longer( -subject, names_to="month", values_to="weight" ) -> long_tbl
long_tbl
# A tibble: 9 × 3
subject month weight
<chr> <chr> <dbl>
1 S1 january 61
2 S1 march 64
3 S1 may 69
4 S2 january 89
5 S2 march 82
6 S2 may 85
7 S3 january 95
8 S3 march 94
9 S3 may 90
Man gibt bei pivot_wider
an, welche Spalten eingesammelt werden sollen (hier: -subject
, also alle außer subject
), wie die Spalte für die Namen der eingesammalten Spalten heißen soll (names_to="month"
) und wie die Spalte für die Werte heißen soll (values_to="weight"
).
Lange Tabelle zu breiter Tabelle umformen: pivot_wider
Mit pivot_wider
führt man die umgekehrte umwandluing durch:
%>%
long_tbl pivot_wider( id_cols = "subject", names_from = "month", values_from = "weight" )
# A tibble: 3 × 4
subject january march may
<chr> <dbl> <dbl> <dbl>
1 S1 61 64 69
2 S2 89 82 85
3 S3 95 94 90
Hier gibt names_from
an, welcher Spalte die SPaltennnamen der neu zu bildenden Spalten entnommen werden sollen, values_from
, in welcher Spalte die zugehörigen Werte zu finden sind, und id_cols
gibt an, anhand welcher Spalte erkannt werden soll, welche Werte in die selbe Zeile sollen.