Table: dds_consumers_served_by_age_gender
period |
age |
gender |
population |
2019-12 |
Ages 00-02 |
Female |
19876 |
2019-12 |
Ages 03-05 |
Female |
8744 |
2019-12 |
Ages 06-09 |
Female |
9636 |
2019-12 |
Ages 10-13 |
Female |
8884 |
2019-12 |
Ages 14-17 |
Female |
8867 |
2019-12 |
Ages 18-21 |
Female |
9181 |
2019-12 |
Ages 22-31 |
Female |
20981 |
2019-12 |
Ages 32-41 |
Female |
13855 |
2019-12 |
Ages 42-51 |
Female |
9247 |
2019-12 |
Ages 52-61 |
Female |
8548 |
2019-12 |
Ages 62-99 |
Female |
6693 |
2019-12 |
Ages 00-02 |
Male |
34712 |
2019-12 |
Ages 03-05 |
Male |
23915 |
2019-12 |
Ages 06-09 |
Male |
27813 |
2019-12 |
Ages 10-13 |
Male |
24289 |
2019-12 |
Ages 14-17 |
Male |
22267 |
2019-12 |
Ages 18-21 |
Male |
20404 |
2019-12 |
Ages 22-31 |
Male |
37579 |
2019-12 |
Ages 32-41 |
Male |
18840 |
2019-12 |
Ages 42-51 |
Male |
11171 |
2019-12 |
Ages 52-61 |
Male |
10294 |
2019-12 |
Ages 62-99 |
Male |
7231 |
2019-11 |
Ages 00-02 |
Female |
19809 |
2019-11 |
Ages 03-05 |
Female |
8761 |
2019-11 |
Ages 06-09 |
Female |
9642 |
2019-11 |
Ages 10-13 |
Female |
8851 |
2019-11 |
Ages 14-17 |
Female |
8793 |
2019-11 |
Ages 18-21 |
Female |
9191 |
2019-11 |
Ages 22-31 |
Female |
20961 |
2019-11 |
Ages 32-41 |
Female |
13823 |
2019-11 |
Ages 42-51 |
Female |
9240 |
2019-11 |
Ages 52-61 |
Female |
8553 |
2019-11 |
Ages 62-99 |
Female |
6672 |
2019-11 |
Ages 00-02 |
Male |
34693 |
2019-11 |
Ages 03-05 |
Male |
23953 |
2019-11 |
Ages 06-09 |
Male |
27697 |
2019-11 |
Ages 10-13 |
Male |
24173 |
2019-11 |
Ages 14-17 |
Male |
22205 |
2019-11 |
Ages 18-21 |
Male |
20349 |
2019-11 |
Ages 22-31 |
Male |
37397 |
2019-11 |
Ages 32-41 |
Male |
18788 |
2019-11 |
Ages 42-51 |
Male |
11168 |
2019-11 |
Ages 52-61 |
Male |
10279 |
2019-11 |
Ages 62-99 |
Male |
7202 |
2019-10 |
Ages 00-02 |
Female |
19755 |
2019-10 |
Ages 03-05 |
Female |
8588 |
2019-10 |
Ages 06-09 |
Female |
9579 |
2019-10 |
Ages 10-13 |
Female |
8811 |
2019-10 |
Ages 14-17 |
Female |
8788 |
2019-10 |
Ages 18-21 |
Female |
9115 |
2019-10 |
Ages 22-31 |
Female |
20954 |
2019-10 |
Ages 32-41 |
Female |
13794 |
2019-10 |
Ages 42-51 |
Female |
9234 |
2019-10 |
Ages 52-61 |
Female |
8543 |
2019-10 |
Ages 62-99 |
Female |
6638 |
2019-10 |
Ages 00-02 |
Male |
34553 |
2019-10 |
Ages 03-05 |
Male |
23662 |
2019-10 |
Ages 06-09 |
Male |
27529 |
2019-10 |
Ages 10-13 |
Male |
24093 |
2019-10 |
Ages 14-17 |
Male |
22077 |
2019-10 |
Ages 18-21 |
Male |
20298 |
2019-10 |
Ages 22-31 |
Male |
37197 |
2019-10 |
Ages 32-41 |
Male |
18715 |
2019-10 |
Ages 42-51 |
Male |
11146 |
2019-10 |
Ages 52-61 |
Male |
10304 |
2019-10 |
Ages 62-99 |
Male |
7157 |
2019-09 |
Ages 00-02 |
Female |
19921 |
2019-09 |
Ages 03-05 |
Female |
8469 |
2019-09 |
Ages 06-09 |
Female |
9588 |
2019-09 |
Ages 10-13 |
Female |
8819 |
2019-09 |
Ages 14-17 |
Female |
8772 |
2019-09 |
Ages 18-21 |
Female |
9146 |
2019-09 |
Ages 22-31 |
Female |
20895 |
2019-09 |
Ages 32-41 |
Female |
13775 |
2019-09 |
Ages 42-51 |
Female |
9221 |
2019-09 |
Ages 52-61 |
Female |
8532 |
2019-09 |
Ages 62-99 |
Female |
6606 |
2019-09 |
Ages 00-02 |
Male |
34704 |
2019-09 |
Ages 03-05 |
Male |
23375 |
2019-09 |
Ages 06-09 |
Male |
27505 |
2019-09 |
Ages 10-13 |
Male |
24102 |
2019-09 |
Ages 14-17 |
Male |
22138 |
2019-09 |
Ages 18-21 |
Male |
20231 |
2019-09 |
Ages 22-31 |
Male |
37053 |
2019-09 |
Ages 32-41 |
Male |
18642 |
2019-09 |
Ages 42-51 |
Male |
11113 |
2019-09 |
Ages 52-61 |
Male |
10323 |
2019-09 |
Ages 62-99 |
Male |
7104 |
2019-08 |
Ages 00-02 |
Female |
19699 |
2019-08 |
Ages 03-05 |
Female |
8475 |
2019-08 |
Ages 06-09 |
Female |
9556 |
2019-08 |
Ages 10-13 |
Female |
8793 |
2019-08 |
Ages 14-17 |
Female |
8720 |
2019-08 |
Ages 18-21 |
Female |
9151 |
2019-08 |
Ages 22-31 |
Female |
20841 |
2019-08 |
Ages 32-41 |
Female |
13716 |
2019-08 |
Ages 42-51 |
Female |
9184 |
2019-08 |
Ages 52-61 |
Female |
8562 |
2019-08 |
Ages 62-99 |
Female |
6566 |
2019-08 |
Ages 00-02 |
Male |
34441 |
2019-08 |
Ages 03-05 |
Male |
23252 |
2019-08 |
Ages 06-09 |
Male |
27452 |
2019-08 |
Ages 10-13 |
Male |
23999 |
2019-08 |
Ages 14-17 |
Male |
22062 |
2019-08 |
Ages 18-21 |
Male |
20176 |
2019-08 |
Ages 22-31 |
Male |
36838 |
2019-08 |
Ages 32-41 |
Male |
18577 |
2019-08 |
Ages 42-51 |
Male |
11096 |
2019-08 |
Ages 52-61 |
Male |
10326 |
2019-08 |
Ages 62-99 |
Male |
7071 |
2019-07 |
Ages 00-02 |
Female |
19844 |
2019-07 |
Ages 03-05 |
Female |
8340 |
2019-07 |
Ages 06-09 |
Female |
9483 |
2019-07 |
Ages 10-13 |
Female |
8787 |
2019-07 |
Ages 14-17 |
Female |
8711 |
2019-07 |
Ages 18-21 |
Female |
9134 |
2019-07 |
Ages 22-31 |
Female |
20800 |
2019-07 |
Ages 32-41 |
Female |
13648 |
2019-07 |
Ages 42-51 |
Female |
9214 |
2019-07 |
Ages 52-61 |
Female |
8541 |
2019-07 |
Ages 62-99 |
Female |
6536 |
2019-07 |
Ages 00-02 |
Male |
34949 |
2019-07 |
Ages 03-05 |
Male |
22886 |
2019-07 |
Ages 06-09 |
Male |
27352 |
2019-07 |
Ages 10-13 |
Male |
23863 |
2019-07 |
Ages 14-17 |
Male |
21972 |
2019-07 |
Ages 18-21 |
Male |
20098 |
2019-07 |
Ages 22-31 |
Male |
36664 |
2019-07 |
Ages 32-41 |
Male |
18492 |
2019-07 |
Ages 42-51 |
Male |
11092 |
2019-07 |
Ages 52-61 |
Male |
10325 |
2019-07 |
Ages 62-99 |
Male |
7008 |
2019-06 |
Ages 00-02 |
Female |
19614 |
2019-06 |
Ages 03-05 |
Female |
8307 |
2019-06 |
Ages 06-09 |
Female |
9437 |
2019-06 |
Ages 10-13 |
Female |
8785 |
2019-06 |
Ages 14-17 |
Female |
8674 |
2019-06 |
Ages 18-21 |
Female |
9133 |
2019-06 |
Ages 22-31 |
Female |
20769 |
2019-06 |
Ages 32-41 |
Female |
13606 |
2019-06 |
Ages 42-51 |
Female |
9208 |
2019-06 |
Ages 52-61 |
Female |
8555 |
2019-06 |
Ages 62-99 |
Female |
6504 |
2019-06 |
Ages 00-02 |
Male |
34546 |
2019-06 |
Ages 03-05 |
Male |
22864 |
2019-06 |
Ages 06-09 |
Male |
27167 |
2019-06 |
Ages 10-13 |
Male |
23743 |
2019-06 |
Ages 14-17 |
Male |
21825 |
2019-06 |
Ages 18-21 |
Male |
20027 |
2019-06 |
Ages 22-31 |
Male |
36513 |
2019-06 |
Ages 32-41 |
Male |
18408 |
2019-06 |
Ages 42-51 |
Male |
11096 |
2019-06 |
Ages 52-61 |
Male |
10320 |
2019-06 |
Ages 62-99 |
Male |
6970 |
2019-05 |
Ages 00-02 |
Female |
19502 |
2019-05 |
Ages 03-05 |
Female |
8139 |
2019-05 |
Ages 06-09 |
Female |
9395 |
2019-05 |
Ages 10-13 |
Female |
8745 |
2019-05 |
Ages 14-17 |
Female |
8639 |
2019-05 |
Ages 18-21 |
Female |
9118 |
2019-05 |
Ages 22-31 |
Female |
20732 |
2019-05 |
Ages 32-41 |
Female |
13547 |
2019-05 |
Ages 42-51 |
Female |
9210 |
2019-05 |
Ages 52-61 |
Female |
8559 |
2019-05 |
Ages 62-99 |
Female |
6484 |
2019-05 |
Ages 00-02 |
Male |
34258 |
2019-05 |
Ages 03-05 |
Male |
22538 |
2019-05 |
Ages 06-09 |
Male |
27015 |
2019-05 |
Ages 10-13 |
Male |
23630 |
2019-05 |
Ages 14-17 |
Male |
21650 |
2019-05 |
Ages 18-21 |
Male |
19880 |
2019-05 |
Ages 22-31 |
Male |
36410 |
2019-05 |
Ages 32-41 |
Male |
18317 |
2019-05 |
Ages 42-51 |
Male |
11089 |
2019-05 |
Ages 52-61 |
Male |
10338 |
2019-05 |
Ages 62-99 |
Male |
6929 |
2019-04 |
Ages 00-02 |
Female |
19281 |
2019-04 |
Ages 03-05 |
Female |
8062 |
2019-04 |
Ages 06-09 |
Female |
9333 |
2019-04 |
Ages 10-13 |
Female |
8689 |
2019-04 |
Ages 14-17 |
Female |
8595 |
2019-04 |
Ages 18-21 |
Female |
9105 |
2019-04 |
Ages 22-31 |
Female |
20699 |
2019-04 |
Ages 32-41 |
Female |
13505 |
2019-04 |
Ages 42-51 |
Female |
9185 |
2019-04 |
Ages 52-61 |
Female |
8587 |
2019-04 |
Ages 62-99 |
Female |
6458 |
2019-04 |
Ages 00-02 |
Male |
33803 |
2019-04 |
Ages 03-05 |
Male |
22131 |
2019-04 |
Ages 06-09 |
Male |
26825 |
2019-04 |
Ages 10-13 |
Male |
23550 |
2019-04 |
Ages 14-17 |
Male |
21514 |
2019-04 |
Ages 18-21 |
Male |
19780 |
2019-04 |
Ages 22-31 |
Male |
36253 |
2019-04 |
Ages 32-41 |
Male |
18217 |
2019-04 |
Ages 42-51 |
Male |
11075 |
2019-04 |
Ages 52-61 |
Male |
10352 |
2019-04 |
Ages 62-99 |
Male |
6897 |
2019-03 |
Ages 00-02 |
Female |
18904 |
2019-03 |
Ages 03-05 |
Female |
8160 |
2019-03 |
Ages 06-09 |
Female |
9299 |
2019-03 |
Ages 10-13 |
Female |
8636 |
2019-03 |
Ages 14-17 |
Female |
8547 |
2019-03 |
Ages 18-21 |
Female |
9082 |
2019-03 |
Ages 22-31 |
Female |
20702 |
2019-03 |
Ages 32-41 |
Female |
13454 |
2019-03 |
Ages 42-51 |
Female |
9185 |
2019-03 |
Ages 52-61 |
Female |
8601 |
2019-03 |
Ages 62-99 |
Female |
6438 |
2019-03 |
Ages 00-02 |
Male |
32940 |
2019-03 |
Ages 03-05 |
Male |
22183 |
2019-03 |
Ages 06-09 |
Male |
26666 |
2019-03 |
Ages 10-13 |
Male |
23491 |
2019-03 |
Ages 14-17 |
Male |
21474 |
2019-03 |
Ages 18-21 |
Male |
19694 |
2019-03 |
Ages 22-31 |
Male |
36108 |
2019-03 |
Ages 32-41 |
Male |
18169 |
2019-03 |
Ages 42-51 |
Male |
11085 |
2019-03 |
Ages 52-61 |
Male |
10348 |
2019-03 |
Ages 62-99 |
Male |
6877 |
2019-02 |
Ages 00-02 |
Female |
18716 |
2019-02 |
Ages 03-05 |
Female |
8019 |
2019-02 |
Ages 06-09 |
Female |
9234 |
2019-02 |
Ages 10-13 |
Female |
8594 |
2019-02 |
Ages 14-17 |
Female |
8510 |
2019-02 |
Ages 18-21 |
Female |
9057 |
2019-02 |
Ages 22-31 |
Female |
20682 |
2019-02 |
Ages 32-41 |
Female |
13420 |
2019-02 |
Ages 42-51 |
Female |
9205 |
2019-02 |
Ages 52-61 |
Female |
8603 |
2019-02 |
Ages 62-99 |
Female |
6411 |
2019-02 |
Ages 00-02 |
Male |
32517 |
2019-02 |
Ages 03-05 |
Male |
21910 |
2019-02 |
Ages 06-09 |
Male |
26532 |
2019-02 |
Ages 10-13 |
Male |
23395 |
2019-02 |
Ages 14-17 |
Male |
21322 |
2019-02 |
Ages 18-21 |
Male |
19647 |
2019-02 |
Ages 22-31 |
Male |
35926 |
2019-02 |
Ages 32-41 |
Male |
18118 |
2019-02 |
Ages 42-51 |
Male |
11063 |
2019-02 |
Ages 52-61 |
Male |
10354 |
2019-02 |
Ages 62-99 |
Male |
6838 |
2019-01 |
Ages 00-02 |
Female |
18746 |
2019-01 |
Ages 03-05 |
Female |
7904 |
2019-01 |
Ages 06-09 |
Female |
9232 |
2019-01 |
Ages 10-13 |
Female |
8595 |
2019-01 |
Ages 14-17 |
Female |
8522 |
2019-01 |
Ages 18-21 |
Female |
9014 |
2019-01 |
Ages 22-31 |
Female |
20643 |
2019-01 |
Ages 32-41 |
Female |
13368 |
2019-01 |
Ages 42-51 |
Female |
9212 |
2019-01 |
Ages 52-61 |
Female |
8603 |
2019-01 |
Ages 62-99 |
Female |
6374 |
2019-01 |
Ages 00-02 |
Male |
32532 |
2019-01 |
Ages 03-05 |
Male |
21570 |
2019-01 |
Ages 06-09 |
Male |
26482 |
2019-01 |
Ages 10-13 |
Male |
23267 |
2019-01 |
Ages 14-17 |
Male |
21261 |
2019-01 |
Ages 18-21 |
Male |
19543 |
2019-01 |
Ages 22-31 |
Male |
35796 |
2019-01 |
Ages 32-41 |
Male |
18044 |
2019-01 |
Ages 42-51 |
Male |
11064 |
2019-01 |
Ages 52-61 |
Male |
10338 |
2019-01 |
Ages 62-99 |
Male |
6810 |
2018-12 |
Ages 00-02 |
Female |
18702 |
2018-12 |
Ages 03-05 |
Female |
8077 |
2018-12 |
Ages 06-09 |
Female |
9212 |
2018-12 |
Ages 10-13 |
Female |
8583 |
2018-12 |
Ages 14-17 |
Female |
8534 |
2018-12 |
Ages 18-21 |
Female |
8997 |
2018-12 |
Ages 22-31 |
Female |
20636 |
2018-12 |
Ages 32-41 |
Female |
13336 |
2018-12 |
Ages 42-51 |
Female |
9226 |
2018-12 |
Ages 52-61 |
Female |
8596 |
2018-12 |
Ages 62-99 |
Female |
6362 |
2018-12 |
Ages 00-02 |
Male |
32787 |
2018-12 |
Ages 03-05 |
Male |
21831 |
2018-12 |
Ages 06-09 |
Male |
26382 |
2018-12 |
Ages 10-13 |
Male |
23205 |
2018-12 |
Ages 14-17 |
Male |
21184 |
2018-12 |
Ages 18-21 |
Male |
19494 |
2018-12 |
Ages 22-31 |
Male |
35678 |
2018-12 |
Ages 32-41 |
Male |
17992 |
2018-12 |
Ages 42-51 |
Male |
11065 |
2018-12 |
Ages 52-61 |
Male |
10328 |
2018-12 |
Ages 62-99 |
Male |
6785 |
2018-11 |
Ages 00-02 |
Female |
18882 |
2018-11 |
Ages 03-05 |
Female |
7896 |
2018-11 |
Ages 06-09 |
Female |
9130 |
2018-11 |
Ages 10-13 |
Female |
8556 |
2018-11 |
Ages 14-17 |
Female |
8504 |
2018-11 |
Ages 18-21 |
Female |
8967 |
2018-11 |
Ages 22-31 |
Female |
20568 |
2018-11 |
Ages 32-41 |
Female |
13311 |
2018-11 |
Ages 42-51 |
Female |
9230 |
2018-11 |
Ages 52-61 |
Female |
8566 |
2018-11 |
Ages 62-99 |
Female |
6319 |
2018-11 |
Ages 00-02 |
Male |
32825 |
2018-11 |
Ages 03-05 |
Male |
21371 |
2018-11 |
Ages 06-09 |
Male |
26252 |
2018-11 |
Ages 10-13 |
Male |
23091 |
2018-11 |
Ages 14-17 |
Male |
21145 |
2018-11 |
Ages 18-21 |
Male |
19357 |
2018-11 |
Ages 22-31 |
Male |
35473 |
2018-11 |
Ages 32-41 |
Male |
17934 |
2018-11 |
Ages 42-51 |
Male |
11050 |
2018-11 |
Ages 52-61 |
Male |
10327 |
2018-11 |
Ages 62-99 |
Male |
6739 |
2018-10 |
Ages 00-02 |
Female |
18874 |
2018-10 |
Ages 03-05 |
Female |
7738 |
2018-10 |
Ages 06-09 |
Female |
9068 |
2018-10 |
Ages 10-13 |
Female |
8536 |
2018-10 |
Ages 14-17 |
Female |
8462 |
2018-10 |
Ages 18-21 |
Female |
8944 |
2018-10 |
Ages 22-31 |
Female |
20505 |
2018-10 |
Ages 32-41 |
Female |
13261 |
2018-10 |
Ages 42-51 |
Female |
9227 |
2018-10 |
Ages 52-61 |
Female |
8556 |
2018-10 |
Ages 62-99 |
Female |
6265 |
2018-10 |
Ages 00-02 |
Male |
32688 |
2018-10 |
Ages 03-05 |
Male |
21016 |
2018-10 |
Ages 06-09 |
Male |
26078 |
2018-10 |
Ages 10-13 |
Male |
22939 |
2018-10 |
Ages 14-17 |
Male |
21018 |
2018-10 |
Ages 18-21 |
Male |
19186 |
2018-10 |
Ages 22-31 |
Male |
35316 |
2018-10 |
Ages 32-41 |
Male |
17849 |
2018-10 |
Ages 42-51 |
Male |
11046 |
2018-10 |
Ages 52-61 |
Male |
10301 |
2018-10 |
Ages 62-99 |
Male |
6713 |
2018-09 |
Ages 00-02 |
Female |
18492 |
2018-09 |
Ages 03-05 |
Female |
7723 |
2018-09 |
Ages 06-09 |
Female |
9004 |
2018-09 |
Ages 10-13 |
Female |
8517 |
2018-09 |
Ages 14-17 |
Female |
8399 |
2018-09 |
Ages 18-21 |
Female |
8884 |
2018-09 |
Ages 22-31 |
Female |
20498 |
2018-09 |
Ages 32-41 |
Female |
13230 |
2018-09 |
Ages 42-51 |
Female |
9214 |
2018-09 |
Ages 52-61 |
Female |
8562 |
2018-09 |
Ages 62-99 |
Female |
6223 |
2018-09 |
Ages 00-02 |
Male |
32037 |
2018-09 |
Ages 03-05 |
Male |
21026 |
2018-09 |
Ages 06-09 |
Male |
25841 |
2018-09 |
Ages 10-13 |
Male |
22837 |
2018-09 |
Ages 14-17 |
Male |
20894 |
2018-09 |
Ages 18-21 |
Male |
19066 |
2018-09 |
Ages 22-31 |
Male |
35199 |
2018-09 |
Ages 32-41 |
Male |
17723 |
2018-09 |
Ages 42-51 |
Male |
11050 |
2018-09 |
Ages 52-61 |
Male |
10292 |
2018-09 |
Ages 62-99 |
Male |
6688 |
2018-08 |
Ages 00-02 |
Female |
18420 |
2018-08 |
Ages 03-05 |
Female |
7593 |
2018-08 |
Ages 06-09 |
Female |
8982 |
2018-08 |
Ages 10-13 |
Female |
8522 |
2018-08 |
Ages 14-17 |
Female |
8397 |
2018-08 |
Ages 18-21 |
Female |
8886 |
2018-08 |
Ages 22-31 |
Female |
20443 |
2018-08 |
Ages 32-41 |
Female |
13180 |
2018-08 |
Ages 42-51 |
Female |
9204 |
2018-08 |
Ages 52-61 |
Female |
8553 |
2018-08 |
Ages 62-99 |
Female |
6190 |
2018-08 |
Ages 00-02 |
Male |
31962 |
2018-08 |
Ages 03-05 |
Male |
20814 |
2018-08 |
Ages 06-09 |
Male |
25636 |
2018-08 |
Ages 10-13 |
Male |
22801 |
2018-08 |
Ages 14-17 |
Male |
20837 |
2018-08 |
Ages 18-21 |
Male |
19031 |
2018-08 |
Ages 22-31 |
Male |
35026 |
2018-08 |
Ages 32-41 |
Male |
17658 |
2018-08 |
Ages 42-51 |
Male |
11068 |
2018-08 |
Ages 52-61 |
Male |
10274 |
2018-08 |
Ages 62-99 |
Male |
6639 |
2018-07 |
Ages 00-02 |
Female |
18409 |
2018-07 |
Ages 03-05 |
Female |
7453 |
2018-07 |
Ages 06-09 |
Female |
8928 |
2018-07 |
Ages 10-13 |
Female |
8476 |
2018-07 |
Ages 14-17 |
Female |
8376 |
2018-07 |
Ages 18-21 |
Female |
8837 |
2018-07 |
Ages 22-31 |
Female |
20421 |
2018-07 |
Ages 32-41 |
Female |
13149 |
2018-07 |
Ages 42-51 |
Female |
9183 |
2018-07 |
Ages 52-61 |
Female |
8535 |
2018-07 |
Ages 62-99 |
Female |
6164 |
2018-07 |
Ages 00-02 |
Male |
32049 |
2018-07 |
Ages 03-05 |
Male |
20487 |
2018-07 |
Ages 06-09 |
Male |
25541 |
2018-07 |
Ages 10-13 |
Male |
22778 |
2018-07 |
Ages 14-17 |
Male |
20686 |
2018-07 |
Ages 18-21 |
Male |
18964 |
2018-07 |
Ages 22-31 |
Male |
34882 |
2018-07 |
Ages 32-41 |
Male |
17572 |
2018-07 |
Ages 42-51 |
Male |
11048 |
2018-07 |
Ages 52-61 |
Male |
10286 |
2018-07 |
Ages 62-99 |
Male |
6594 |
2018-06 |
Ages 00-02 |
Female |
18131 |
2018-06 |
Ages 03-05 |
Female |
7539 |
2018-06 |
Ages 06-09 |
Female |
8872 |
2018-06 |
Ages 10-13 |
Female |
8422 |
2018-06 |
Ages 14-17 |
Female |
8317 |
2018-06 |
Ages 18-21 |
Female |
8809 |
2018-06 |
Ages 22-31 |
Female |
20389 |
2018-06 |
Ages 32-41 |
Female |
13105 |
2018-06 |
Ages 42-51 |
Female |
9197 |
2018-06 |
Ages 52-61 |
Female |
8548 |
2018-06 |
Ages 62-99 |
Female |
6126 |
2018-06 |
Ages 00-02 |
Male |
31546 |
2018-06 |
Ages 03-05 |
Male |
20534 |
2018-06 |
Ages 06-09 |
Male |
25490 |
2018-06 |
Ages 10-13 |
Male |
22589 |
2018-06 |
Ages 14-17 |
Male |
20549 |
2018-06 |
Ages 18-21 |
Male |
18855 |
2018-06 |
Ages 22-31 |
Male |
34707 |
2018-06 |
Ages 32-41 |
Male |
17500 |
2018-06 |
Ages 42-51 |
Male |
11050 |
2018-06 |
Ages 52-61 |
Male |
10290 |
2018-06 |
Ages 62-99 |
Male |
6554 |
2018-05 |
Ages 00-02 |
Female |
17969 |
2018-05 |
Ages 03-05 |
Female |
7490 |
2018-05 |
Ages 06-09 |
Female |
8796 |
2018-05 |
Ages 10-13 |
Female |
8375 |
2018-05 |
Ages 14-17 |
Female |
8297 |
2018-05 |
Ages 18-21 |
Female |
8760 |
2018-05 |
Ages 22-31 |
Female |
20341 |
2018-05 |
Ages 32-41 |
Female |
13066 |
2018-05 |
Ages 42-51 |
Female |
9223 |
2018-05 |
Ages 52-61 |
Female |
8530 |
2018-05 |
Ages 62-99 |
Female |
6103 |
2018-05 |
Ages 00-02 |
Male |
31376 |
2018-05 |
Ages 03-05 |
Male |
20412 |
2018-05 |
Ages 06-09 |
Male |
25332 |
2018-05 |
Ages 10-13 |
Male |
22453 |
2018-05 |
Ages 14-17 |
Male |
20430 |
2018-05 |
Ages 18-21 |
Male |
18779 |
2018-05 |
Ages 22-31 |
Male |
34603 |
2018-05 |
Ages 32-41 |
Male |
17433 |
2018-05 |
Ages 42-51 |
Male |
11052 |
2018-05 |
Ages 52-61 |
Male |
10283 |
2018-05 |
Ages 62-99 |
Male |
6519 |
2018-04 |
Ages 00-02 |
Female |
17761 |
2018-04 |
Ages 03-05 |
Female |
7391 |
2018-04 |
Ages 06-09 |
Female |
8780 |
2018-04 |
Ages 10-13 |
Female |
8357 |
2018-04 |
Ages 14-17 |
Female |
8272 |
2018-04 |
Ages 18-21 |
Female |
8754 |
2018-04 |
Ages 22-31 |
Female |
20315 |
2018-04 |
Ages 32-41 |
Female |
13001 |
2018-04 |
Ages 42-51 |
Female |
9243 |
2018-04 |
Ages 52-61 |
Female |
8517 |
2018-04 |
Ages 62-99 |
Female |
6081 |
2018-04 |
Ages 00-02 |
Male |
30986 |
2018-04 |
Ages 03-05 |
Male |
20151 |
2018-04 |
Ages 06-09 |
Male |
25187 |
2018-04 |
Ages 10-13 |
Male |
22411 |
2018-04 |
Ages 14-17 |
Male |
20249 |
2018-04 |
Ages 18-21 |
Male |
18746 |
2018-04 |
Ages 22-31 |
Male |
34435 |
2018-04 |
Ages 32-41 |
Male |
17349 |
2018-04 |
Ages 42-51 |
Male |
11058 |
2018-04 |
Ages 52-61 |
Male |
10288 |
2018-04 |
Ages 62-99 |
Male |
6483 |
2018-03 |
Ages 00-02 |
Female |
17479 |
2018-03 |
Ages 03-05 |
Female |
7385 |
2018-03 |
Ages 06-09 |
Female |
8780 |
2018-03 |
Ages 10-13 |
Female |
8348 |
2018-03 |
Ages 14-17 |
Female |
8215 |
2018-03 |
Ages 18-21 |
Female |
8701 |
2018-03 |
Ages 22-31 |
Female |
20318 |
2018-03 |
Ages 32-41 |
Female |
12951 |
2018-03 |
Ages 42-51 |
Female |
9243 |
2018-03 |
Ages 52-61 |
Female |
8514 |
2018-03 |
Ages 62-99 |
Female |
6068 |
2018-03 |
Ages 00-02 |
Male |
30303 |
2018-03 |
Ages 03-05 |
Male |
20267 |
2018-03 |
Ages 06-09 |
Male |
25077 |
2018-03 |
Ages 10-13 |
Male |
22242 |
2018-03 |
Ages 14-17 |
Male |
20204 |
2018-03 |
Ages 18-21 |
Male |
18672 |
2018-03 |
Ages 22-31 |
Male |
34359 |
2018-03 |
Ages 32-41 |
Male |
17251 |
2018-03 |
Ages 42-51 |
Male |
11095 |
2018-03 |
Ages 52-61 |
Male |
10280 |
2018-03 |
Ages 62-99 |
Male |
6449 |
2018-02 |
Ages 00-02 |
Female |
17190 |
2018-02 |
Ages 03-05 |
Female |
7369 |
2018-02 |
Ages 06-09 |
Female |
8773 |
2018-02 |
Ages 10-13 |
Female |
8308 |
2018-02 |
Ages 14-17 |
Female |
8195 |
2018-02 |
Ages 18-21 |
Female |
8676 |
2018-02 |
Ages 22-31 |
Female |
20308 |
2018-02 |
Ages 32-41 |
Female |
12914 |
2018-02 |
Ages 42-51 |
Female |
9233 |
2018-02 |
Ages 52-61 |
Female |
8519 |
2018-02 |
Ages 62-99 |
Female |
6056 |
2018-02 |
Ages 00-02 |
Male |
29941 |
2018-02 |
Ages 03-05 |
Male |
20060 |
2018-02 |
Ages 06-09 |
Male |
24907 |
2018-02 |
Ages 10-13 |
Male |
22166 |
2018-02 |
Ages 14-17 |
Male |
20145 |
2018-02 |
Ages 18-21 |
Male |
18627 |
2018-02 |
Ages 22-31 |
Male |
34229 |
2018-02 |
Ages 32-41 |
Male |
17182 |
2018-02 |
Ages 42-51 |
Male |
11093 |
2018-02 |
Ages 52-61 |
Male |
10274 |
2018-02 |
Ages 62-99 |
Male |
6423 |
2018-01 |
Ages 00-02 |
Female |
17166 |
2018-01 |
Ages 03-05 |
Female |
7282 |
2018-01 |
Ages 06-09 |
Female |
8740 |
2018-01 |
Ages 10-13 |
Female |
8247 |
2018-01 |
Ages 14-17 |
Female |
8234 |
2018-01 |
Ages 18-21 |
Female |
8662 |
2018-01 |
Ages 22-31 |
Female |
20273 |
2018-01 |
Ages 32-41 |
Female |
12863 |
2018-01 |
Ages 42-51 |
Female |
9259 |
2018-01 |
Ages 52-61 |
Female |
8502 |
2018-01 |
Ages 62-99 |
Female |
6032 |
2018-01 |
Ages 00-02 |
Male |
29838 |
2018-01 |
Ages 03-05 |
Male |
19934 |
2018-01 |
Ages 06-09 |
Male |
24859 |
2018-01 |
Ages 10-13 |
Male |
22104 |
2018-01 |
Ages 14-17 |
Male |
20058 |
2018-01 |
Ages 18-21 |
Male |
18615 |
2018-01 |
Ages 22-31 |
Male |
34064 |
2018-01 |
Ages 32-41 |
Male |
17167 |
2018-01 |
Ages 42-51 |
Male |
11092 |
2018-01 |
Ages 52-61 |
Male |
10278 |
2018-01 |
Ages 62-99 |
Male |
6407 |
2017-12 |
Ages 00-02 |
Female |
17313 |
2017-12 |
Ages 03-05 |
Female |
7391 |
2017-12 |
Ages 06-09 |
Female |
8666 |
2017-12 |
Ages 10-13 |
Female |
8206 |
2017-12 |
Ages 14-17 |
Female |
8227 |
2017-12 |
Ages 18-21 |
Female |
8624 |
2017-12 |
Ages 22-31 |
Female |
20245 |
2017-12 |
Ages 32-41 |
Female |
12826 |
2017-12 |
Ages 42-51 |
Female |
9274 |
2017-12 |
Ages 52-61 |
Female |
8487 |
2017-12 |
Ages 62-99 |
Female |
6004 |
2017-12 |
Ages 00-02 |
Male |
30113 |
2017-12 |
Ages 03-05 |
Male |
20149 |
2017-12 |
Ages 06-09 |
Male |
24846 |
2017-12 |
Ages 10-13 |
Male |
22017 |
2017-12 |
Ages 14-17 |
Male |
19947 |
2017-12 |
Ages 18-21 |
Male |
18562 |
2017-12 |
Ages 22-31 |
Male |
33959 |
2017-12 |
Ages 32-41 |
Male |
17057 |
2017-12 |
Ages 42-51 |
Male |
11099 |
2017-12 |
Ages 52-61 |
Male |
10259 |
2017-12 |
Ages 62-99 |
Male |
6373 |
2017-11 |
Ages 00-02 |
Female |
17316 |
2017-11 |
Ages 03-05 |
Female |
7237 |
2017-11 |
Ages 06-09 |
Female |
8608 |
2017-11 |
Ages 10-13 |
Female |
8172 |
2017-11 |
Ages 14-17 |
Female |
8231 |
2017-11 |
Ages 18-21 |
Female |
8576 |
2017-11 |
Ages 22-31 |
Female |
20205 |
2017-11 |
Ages 32-41 |
Female |
12776 |
2017-11 |
Ages 42-51 |
Female |
9271 |
2017-11 |
Ages 52-61 |
Female |
8477 |
2017-11 |
Ages 62-99 |
Female |
5987 |
2017-11 |
Ages 00-02 |
Male |
30146 |
2017-11 |
Ages 03-05 |
Male |
19881 |
2017-11 |
Ages 06-09 |
Male |
24735 |
2017-11 |
Ages 10-13 |
Male |
21911 |
2017-11 |
Ages 14-17 |
Male |
19870 |
2017-11 |
Ages 18-21 |
Male |
18531 |
2017-11 |
Ages 22-31 |
Male |
33812 |
2017-11 |
Ages 32-41 |
Male |
16998 |
2017-11 |
Ages 42-51 |
Male |
11104 |
2017-11 |
Ages 52-61 |
Male |
10238 |
2017-11 |
Ages 62-99 |
Male |
6327 |
2017-10 |
Ages 00-02 |
Female |
17254 |
2017-10 |
Ages 03-05 |
Female |
7129 |
2017-10 |
Ages 06-09 |
Female |
8559 |
2017-10 |
Ages 10-13 |
Female |
8146 |
2017-10 |
Ages 14-17 |
Female |
8190 |
2017-10 |
Ages 18-21 |
Female |
8574 |
2017-10 |
Ages 22-31 |
Female |
20141 |
2017-10 |
Ages 32-41 |
Female |
12733 |
2017-10 |
Ages 42-51 |
Female |
9277 |
2017-10 |
Ages 52-61 |
Female |
8477 |
2017-10 |
Ages 62-99 |
Female |
5932 |
2017-10 |
Ages 00-02 |
Male |
30159 |
2017-10 |
Ages 03-05 |
Male |
19594 |
2017-10 |
Ages 06-09 |
Male |
24600 |
2017-10 |
Ages 10-13 |
Male |
21743 |
2017-10 |
Ages 14-17 |
Male |
19754 |
2017-10 |
Ages 18-21 |
Male |
18503 |
2017-10 |
Ages 22-31 |
Male |
33628 |
2017-10 |
Ages 32-41 |
Male |
16928 |
2017-10 |
Ages 42-51 |
Male |
11108 |
2017-10 |
Ages 52-61 |
Male |
10224 |
2017-10 |
Ages 62-99 |
Male |
6286 |
2017-09 |
Ages 00-02 |
Female |
17024 |
2017-09 |
Ages 03-05 |
Female |
7187 |
2017-09 |
Ages 06-09 |
Female |
8505 |
2017-09 |
Ages 10-13 |
Female |
8124 |
2017-09 |
Ages 14-17 |
Female |
8184 |
2017-09 |
Ages 18-21 |
Female |
8512 |
2017-09 |
Ages 22-31 |
Female |
20164 |
2017-09 |
Ages 32-41 |
Female |
12660 |
2017-09 |
Ages 42-51 |
Female |
9286 |
2017-09 |
Ages 52-61 |
Female |
8487 |
2017-09 |
Ages 62-99 |
Female |
5893 |
2017-09 |
Ages 00-02 |
Male |
29911 |
2017-09 |
Ages 03-05 |
Male |
19527 |
2017-09 |
Ages 06-09 |
Male |
24524 |
2017-09 |
Ages 10-13 |
Male |
21700 |
2017-09 |
Ages 14-17 |
Male |
19591 |
2017-09 |
Ages 18-21 |
Male |
18418 |
2017-09 |
Ages 22-31 |
Male |
33525 |
2017-09 |
Ages 32-41 |
Male |
16832 |
2017-09 |
Ages 42-51 |
Male |
11126 |
2017-09 |
Ages 52-61 |
Male |
10239 |
2017-09 |
Ages 62-99 |
Male |
6240 |
2017-09 |
Ages 00-02 |
Unknown |
0 |
2017-09 |
Ages 03-05 |
Unknown |
0 |
2017-09 |
Ages 06-09 |
Unknown |
1 |
2017-09 |
Ages 10-13 |
Unknown |
0 |
2017-09 |
Ages 14-17 |
Unknown |
0 |
2017-09 |
Ages 18-21 |
Unknown |
0 |
2017-09 |
Ages 22-31 |
Unknown |
0 |
2017-09 |
Ages 32-41 |
Unknown |
0 |
2017-09 |
Ages 42-51 |
Unknown |
0 |
2017-09 |
Ages 52-61 |
Unknown |
0 |
2017-09 |
Ages 62-99 |
Unknown |
0 |
2017-08 |
Ages 00-02 |
Female |
16973 |
2017-08 |
Ages 03-05 |
Female |
7087 |
2017-08 |
Ages 06-09 |
Female |
8483 |
2017-08 |
Ages 10-13 |
Female |
8113 |
2017-08 |
Ages 14-17 |
Female |
8142 |
2017-08 |
Ages 18-21 |
Female |
8500 |
2017-08 |
Ages 22-31 |
Female |
20119 |
2017-08 |
Ages 32-41 |
Female |
12611 |
2017-08 |
Ages 42-51 |
Female |
9288 |
2017-08 |
Ages 52-61 |
Female |
8488 |
2017-08 |
Ages 62-99 |
Female |
5848 |
2017-08 |
Ages 00-02 |
Male |
29885 |
2017-08 |
Ages 03-05 |
Male |
19228 |
2017-08 |
Ages 06-09 |
Male |
24460 |
2017-08 |
Ages 10-13 |
Male |
21619 |
2017-08 |
Ages 14-17 |
Male |
19539 |
2017-08 |
Ages 18-21 |
Male |
18311 |
2017-08 |
Ages 22-31 |
Male |
33379 |
2017-08 |
Ages 32-41 |
Male |
16728 |
2017-08 |
Ages 42-51 |
Male |
11154 |
2017-08 |
Ages 52-61 |
Male |
10211 |
2017-08 |
Ages 62-99 |
Male |
6197 |
2017-08 |
Ages 00-02 |
Unknown |
0 |
2017-08 |
Ages 03-05 |
Unknown |
0 |
2017-08 |
Ages 06-09 |
Unknown |
1 |
2017-08 |
Ages 10-13 |
Unknown |
0 |
2017-08 |
Ages 14-17 |
Unknown |
0 |
2017-08 |
Ages 18-21 |
Unknown |
0 |
2017-08 |
Ages 22-31 |
Unknown |
0 |
2017-08 |
Ages 32-41 |
Unknown |
0 |
2017-08 |
Ages 42-51 |
Unknown |
0 |
2017-08 |
Ages 52-61 |
Unknown |
0 |
2017-08 |
Ages 62-99 |
Unknown |
0 |
2017-07 |
Ages 00-02 |
Female |
16894 |
2017-07 |
Ages 03-05 |
Female |
7075 |
2017-07 |
Ages 06-09 |
Female |
8437 |
2017-07 |
Ages 10-13 |
Female |
8080 |
2017-07 |
Ages 14-17 |
Female |
8131 |
2017-07 |
Ages 18-21 |
Female |
8518 |
2017-07 |
Ages 22-31 |
Female |
20032 |
2017-07 |
Ages 32-41 |
Female |
12601 |
2017-07 |
Ages 42-51 |
Female |
9278 |
2017-07 |
Ages 52-61 |
Female |
8490 |
2017-07 |
Ages 62-99 |
Female |
5809 |
2017-07 |
Ages 00-02 |
Male |
29687 |
2017-07 |
Ages 03-05 |
Male |
19235 |
2017-07 |
Ages 06-09 |
Male |
24405 |
2017-07 |
Ages 10-13 |
Male |
21553 |
2017-07 |
Ages 14-17 |
Male |
19393 |
2017-07 |
Ages 18-21 |
Male |
18282 |
2017-07 |
Ages 22-31 |
Male |
33217 |
2017-07 |
Ages 32-41 |
Male |
16644 |
2017-07 |
Ages 42-51 |
Male |
11136 |
2017-07 |
Ages 52-61 |
Male |
10217 |
2017-07 |
Ages 62-99 |
Male |
6172 |
2017-06 |
Ages 00-02 |
Female |
16903 |
2017-06 |
Ages 03-05 |
Female |
7011 |
2017-06 |
Ages 06-09 |
Female |
8393 |
2017-06 |
Ages 10-13 |
Female |
8085 |
2017-06 |
Ages 14-17 |
Female |
8098 |
2017-06 |
Ages 18-21 |
Female |
8536 |
2017-06 |
Ages 22-31 |
Female |
19992 |
2017-06 |
Ages 32-41 |
Female |
12537 |
2017-06 |
Ages 42-51 |
Female |
9277 |
2017-06 |
Ages 52-61 |
Female |
8495 |
2017-06 |
Ages 62-99 |
Female |
5771 |
2017-06 |
Ages 00-02 |
Male |
29685 |
2017-06 |
Ages 03-05 |
Male |
19057 |
2017-06 |
Ages 06-09 |
Male |
24304 |
2017-06 |
Ages 10-13 |
Male |
21469 |
2017-06 |
Ages 14-17 |
Male |
19283 |
2017-06 |
Ages 18-21 |
Male |
18223 |
2017-06 |
Ages 22-31 |
Male |
33098 |
2017-06 |
Ages 32-41 |
Male |
16575 |
2017-06 |
Ages 42-51 |
Male |
11151 |
2017-06 |
Ages 52-61 |
Male |
10203 |
2017-06 |
Ages 62-99 |
Male |
6144 |
2017-05 |
Ages 00-02 |
Female |
16730 |
2017-05 |
Ages 03-05 |
Female |
6998 |
2017-05 |
Ages 06-09 |
Female |
8336 |
2017-05 |
Ages 10-13 |
Female |
8085 |
2017-05 |
Ages 14-17 |
Female |
8046 |
2017-05 |
Ages 18-21 |
Female |
8557 |
2017-05 |
Ages 22-31 |
Female |
19945 |
2017-05 |
Ages 32-41 |
Female |
12477 |
2017-05 |
Ages 42-51 |
Female |
9264 |
2017-05 |
Ages 52-61 |
Female |
8501 |
2017-05 |
Ages 62-99 |
Female |
5745 |
2017-05 |
Ages 00-02 |
Male |
29396 |
2017-05 |
Ages 03-05 |
Male |
18859 |
2017-05 |
Ages 06-09 |
Male |
24195 |
2017-05 |
Ages 10-13 |
Male |
21402 |
2017-05 |
Ages 14-17 |
Male |
19110 |
2017-05 |
Ages 18-21 |
Male |
18198 |
2017-05 |
Ages 22-31 |
Male |
32951 |
2017-05 |
Ages 32-41 |
Male |
16517 |
2017-05 |
Ages 42-51 |
Male |
11153 |
2017-05 |
Ages 52-61 |
Male |
10190 |
2017-05 |
Ages 62-99 |
Male |
6120 |
2017-04 |
Ages 00-02 |
Female |
16262 |
2017-04 |
Ages 03-05 |
Female |
6981 |
2017-04 |
Ages 06-09 |
Female |
8297 |
2017-04 |
Ages 10-13 |
Female |
8081 |
2017-04 |
Ages 14-17 |
Female |
7962 |
2017-04 |
Ages 18-21 |
Female |
8575 |
2017-04 |
Ages 22-31 |
Female |
19851 |
2017-04 |
Ages 32-41 |
Female |
12448 |
2017-04 |
Ages 42-51 |
Female |
9290 |
2017-04 |
Ages 52-61 |
Female |
8497 |
2017-04 |
Ages 62-99 |
Female |
5721 |
2017-04 |
Ages 00-02 |
Male |
28705 |
2017-04 |
Ages 03-05 |
Male |
18988 |
2017-04 |
Ages 06-09 |
Male |
24082 |
2017-04 |
Ages 10-13 |
Male |
21372 |
2017-04 |
Ages 14-17 |
Male |
19018 |
2017-04 |
Ages 18-21 |
Male |
18141 |
2017-04 |
Ages 22-31 |
Male |
32791 |
2017-04 |
Ages 32-41 |
Male |
16455 |
2017-04 |
Ages 42-51 |
Male |
11167 |
2017-04 |
Ages 52-61 |
Male |
10201 |
2017-04 |
Ages 62-99 |
Male |
6099 |
2017-03 |
Ages 00-02 |
Female |
16096 |
2017-03 |
Ages 03-05 |
Female |
6921 |
2017-03 |
Ages 06-09 |
Female |
8212 |
2017-03 |
Ages 10-13 |
Female |
8055 |
2017-03 |
Ages 14-17 |
Female |
7932 |
2017-03 |
Ages 18-21 |
Female |
8545 |
2017-03 |
Ages 22-31 |
Female |
19834 |
2017-03 |
Ages 32-41 |
Female |
12417 |
2017-03 |
Ages 42-51 |
Female |
9289 |
2017-03 |
Ages 52-61 |
Female |
8511 |
2017-03 |
Ages 62-99 |
Female |
5689 |
2017-03 |
Ages 00-02 |
Male |
28270 |
2017-03 |
Ages 03-05 |
Male |
18740 |
2017-03 |
Ages 06-09 |
Male |
23934 |
2017-03 |
Ages 10-13 |
Male |
21346 |
2017-03 |
Ages 14-17 |
Male |
18822 |
2017-03 |
Ages 18-21 |
Male |
18055 |
2017-03 |
Ages 22-31 |
Male |
32687 |
2017-03 |
Ages 32-41 |
Male |
16386 |
2017-03 |
Ages 42-51 |
Male |
11222 |
2017-03 |
Ages 52-61 |
Male |
10169 |
2017-03 |
Ages 62-99 |
Male |
6051 |
2017-02 |
Ages 00-02 |
Female |
15893 |
2017-02 |
Ages 03-05 |
Female |
6879 |
2017-02 |
Ages 06-09 |
Female |
8186 |
2017-02 |
Ages 10-13 |
Female |
8033 |
2017-02 |
Ages 14-17 |
Female |
7907 |
2017-02 |
Ages 18-21 |
Female |
8560 |
2017-02 |
Ages 22-31 |
Female |
19792 |
2017-02 |
Ages 32-41 |
Female |
12397 |
2017-02 |
Ages 42-51 |
Female |
9323 |
2017-02 |
Ages 52-61 |
Female |
8502 |
2017-02 |
Ages 62-99 |
Female |
5673 |
2017-02 |
Ages 00-02 |
Male |
27919 |
2017-02 |
Ages 03-05 |
Male |
18684 |
2017-02 |
Ages 06-09 |
Male |
23863 |
2017-02 |
Ages 10-13 |
Male |
21310 |
2017-02 |
Ages 14-17 |
Male |
18663 |
2017-02 |
Ages 18-21 |
Male |
17972 |
2017-02 |
Ages 22-31 |
Male |
32571 |
2017-02 |
Ages 32-41 |
Male |
16315 |
2017-02 |
Ages 42-51 |
Male |
11255 |
2017-02 |
Ages 52-61 |
Male |
10154 |
2017-02 |
Ages 62-99 |
Male |
6030 |
2017-01 |
Ages 00-02 |
Female |
15847 |
2017-01 |
Ages 03-05 |
Female |
6835 |
2017-01 |
Ages 06-09 |
Female |
8159 |
2017-01 |
Ages 10-13 |
Female |
8011 |
2017-01 |
Ages 14-17 |
Female |
7896 |
2017-01 |
Ages 18-21 |
Female |
8533 |
2017-01 |
Ages 22-31 |
Female |
19756 |
2017-01 |
Ages 32-41 |
Female |
12352 |
2017-01 |
Ages 42-51 |
Female |
9337 |
2017-01 |
Ages 52-61 |
Female |
8486 |
2017-01 |
Ages 62-99 |
Female |
5643 |
2017-01 |
Ages 00-02 |
Male |
27877 |
2017-01 |
Ages 03-05 |
Male |
18438 |
2017-01 |
Ages 06-09 |
Male |
23757 |
2017-01 |
Ages 10-13 |
Male |
21235 |
2017-01 |
Ages 14-17 |
Male |
18537 |
2017-01 |
Ages 18-21 |
Male |
17914 |
2017-01 |
Ages 22-31 |
Male |
32430 |
2017-01 |
Ages 32-41 |
Male |
16289 |
2017-01 |
Ages 42-51 |
Male |
11249 |
2017-01 |
Ages 52-61 |
Male |
10128 |
2017-01 |
Ages 62-99 |
Male |
5999 |
2016-12 |
Ages 00-02 |
Female |
15921 |
2016-12 |
Ages 03-05 |
Female |
6882 |
2016-12 |
Ages 06-09 |
Female |
8133 |
2016-12 |
Ages 10-13 |
Female |
8010 |
2016-12 |
Ages 14-17 |
Female |
7845 |
2016-12 |
Ages 18-21 |
Female |
8542 |
2016-12 |
Ages 22-31 |
Female |
19738 |
2016-12 |
Ages 32-41 |
Female |
12312 |
2016-12 |
Ages 42-51 |
Female |
9325 |
2016-12 |
Ages 52-61 |
Female |
8457 |
2016-12 |
Ages 62-99 |
Female |
5609 |
2016-12 |
Ages 00-02 |
Male |
28011 |
2016-12 |
Ages 03-05 |
Male |
18567 |
2016-12 |
Ages 06-09 |
Male |
23683 |
2016-12 |
Ages 10-13 |
Male |
21178 |
2016-12 |
Ages 14-17 |
Male |
18482 |
2016-12 |
Ages 18-21 |
Male |
17893 |
2016-12 |
Ages 22-31 |
Male |
32285 |
2016-12 |
Ages 32-41 |
Male |
16224 |
2016-12 |
Ages 42-51 |
Male |
11243 |
2016-12 |
Ages 52-61 |
Male |
10113 |
2016-12 |
Ages 62-99 |
Male |
5968 |
2016-12 |
Ages 00-02 |
Unknown |
1 |
2016-12 |
Ages 03-05 |
Unknown |
0 |
2016-12 |
Ages 06-09 |
Unknown |
0 |
2016-12 |
Ages 10-13 |
Unknown |
0 |
2016-12 |
Ages 14-17 |
Unknown |
0 |
2016-12 |
Ages 18-21 |
Unknown |
0 |
2016-12 |
Ages 22-31 |
Unknown |
0 |
2016-12 |
Ages 32-41 |
Unknown |
0 |
2016-12 |
Ages 42-51 |
Unknown |
0 |
2016-12 |
Ages 52-61 |
Unknown |
0 |
2016-12 |
Ages 62-99 |
Unknown |
0 |
2016-11 |
Ages 00-02 |
Female |
16083 |
2016-11 |
Ages 03-05 |
Female |
6849 |
2016-11 |
Ages 06-09 |
Female |
8113 |
2016-11 |
Ages 10-13 |
Female |
7979 |
2016-11 |
Ages 14-17 |
Female |
7845 |
2016-11 |
Ages 18-21 |
Female |
8510 |
2016-11 |
Ages 22-31 |
Female |
19678 |
2016-11 |
Ages 32-41 |
Female |
12271 |
2016-11 |
Ages 42-51 |
Female |
9344 |
2016-11 |
Ages 52-61 |
Female |
8443 |
2016-11 |
Ages 62-99 |
Female |
5583 |
2016-11 |
Ages 00-02 |
Male |
28207 |
2016-11 |
Ages 03-05 |
Male |
18331 |
2016-11 |
Ages 06-09 |
Male |
23645 |
2016-11 |
Ages 10-13 |
Male |
21073 |
2016-11 |
Ages 14-17 |
Male |
18357 |
2016-11 |
Ages 18-21 |
Male |
17865 |
2016-11 |
Ages 22-31 |
Male |
32103 |
2016-11 |
Ages 32-41 |
Male |
16171 |
2016-11 |
Ages 42-51 |
Male |
11246 |
2016-11 |
Ages 52-61 |
Male |
10085 |
2016-11 |
Ages 62-99 |
Male |
5937 |
2016-10 |
Ages 00-02 |
Female |
15746 |
2016-10 |
Ages 03-05 |
Female |
6957 |
2016-10 |
Ages 06-09 |
Female |
8091 |
2016-10 |
Ages 10-13 |
Female |
7934 |
2016-10 |
Ages 14-17 |
Female |
7811 |
2016-10 |
Ages 18-21 |
Female |
8449 |
2016-10 |
Ages 22-31 |
Female |
19656 |
2016-10 |
Ages 32-41 |
Female |
12207 |
2016-10 |
Ages 42-51 |
Female |
9372 |
2016-10 |
Ages 52-61 |
Female |
8416 |
2016-10 |
Ages 62-99 |
Female |
5569 |
2016-10 |
Ages 00-02 |
Male |
27697 |
2016-10 |
Ages 03-05 |
Male |
18385 |
2016-10 |
Ages 06-09 |
Male |
23491 |
2016-10 |
Ages 10-13 |
Male |
20961 |
2016-10 |
Ages 14-17 |
Male |
18252 |
2016-10 |
Ages 18-21 |
Male |
17775 |
2016-10 |
Ages 22-31 |
Male |
31950 |
2016-10 |
Ages 32-41 |
Male |
16087 |
2016-10 |
Ages 42-51 |
Male |
11251 |
2016-10 |
Ages 52-61 |
Male |
10068 |
2016-10 |
Ages 62-99 |
Male |
5903 |
2016-09 |
Ages 00-02 |
Female |
15656 |
2016-09 |
Ages 03-05 |
Female |
6866 |
2016-09 |
Ages 06-09 |
Female |
8036 |
2016-09 |
Ages 10-13 |
Female |
7930 |
2016-09 |
Ages 14-17 |
Female |
7781 |
2016-09 |
Ages 18-21 |
Female |
8443 |
2016-09 |
Ages 22-31 |
Female |
19631 |
2016-09 |
Ages 32-41 |
Female |
12170 |
2016-09 |
Ages 42-51 |
Female |
9397 |
2016-09 |
Ages 52-61 |
Female |
8379 |
2016-09 |
Ages 62-99 |
Female |
5537 |
2016-09 |
Ages 00-02 |
Male |
27540 |
2016-09 |
Ages 03-05 |
Male |
18160 |
2016-09 |
Ages 06-09 |
Male |
23367 |
2016-09 |
Ages 10-13 |
Male |
20898 |
2016-09 |
Ages 14-17 |
Male |
18122 |
2016-09 |
Ages 18-21 |
Male |
17737 |
2016-09 |
Ages 22-31 |
Male |
31810 |
2016-09 |
Ages 32-41 |
Male |
16022 |
2016-09 |
Ages 42-51 |
Male |
11278 |
2016-09 |
Ages 52-61 |
Male |
10046 |
2016-09 |
Ages 62-99 |
Male |
5848 |
2016-08 |
Ages 00-02 |
Female |
15614 |
2016-08 |
Ages 03-05 |
Female |
6822 |
2016-08 |
Ages 06-09 |
Female |
8017 |
2016-08 |
Ages 10-13 |
Female |
7871 |
2016-08 |
Ages 14-17 |
Female |
7784 |
2016-08 |
Ages 18-21 |
Female |
8440 |
2016-08 |
Ages 22-31 |
Female |
19569 |
2016-08 |
Ages 32-41 |
Female |
12127 |
2016-08 |
Ages 42-51 |
Female |
9405 |
2016-08 |
Ages 52-61 |
Female |
8363 |
2016-08 |
Ages 62-99 |
Female |
5498 |
2016-08 |
Ages 00-02 |
Male |
27617 |
2016-08 |
Ages 03-05 |
Male |
18027 |
2016-08 |
Ages 06-09 |
Male |
23327 |
2016-08 |
Ages 10-13 |
Male |
20892 |
2016-08 |
Ages 14-17 |
Male |
18033 |
2016-08 |
Ages 18-21 |
Male |
17723 |
2016-08 |
Ages 22-31 |
Male |
31639 |
2016-08 |
Ages 32-41 |
Male |
15944 |
2016-08 |
Ages 42-51 |
Male |
11248 |
2016-08 |
Ages 52-61 |
Male |
10026 |
2016-08 |
Ages 62-99 |
Male |
5822 |
2016-07 |
Ages 00-02 |
Female |
15526 |
2016-07 |
Ages 03-05 |
Female |
6833 |
2016-07 |
Ages 06-09 |
Female |
7994 |
2016-07 |
Ages 10-13 |
Female |
7901 |
2016-07 |
Ages 14-17 |
Female |
7786 |
2016-07 |
Ages 18-21 |
Female |
8436 |
2016-07 |
Ages 22-31 |
Female |
19494 |
2016-07 |
Ages 32-41 |
Female |
12099 |
2016-07 |
Ages 42-51 |
Female |
9409 |
2016-07 |
Ages 52-61 |
Female |
8355 |
2016-07 |
Ages 62-99 |
Female |
5466 |
2016-07 |
Ages 00-02 |
Male |
27403 |
2016-07 |
Ages 03-05 |
Male |
18107 |
2016-07 |
Ages 06-09 |
Male |
23288 |
2016-07 |
Ages 10-13 |
Male |
20756 |
2016-07 |
Ages 14-17 |
Male |
17983 |
2016-07 |
Ages 18-21 |
Male |
17716 |
2016-07 |
Ages 22-31 |
Male |
31444 |
2016-07 |
Ages 32-41 |
Male |
15852 |
2016-07 |
Ages 42-51 |
Male |
11272 |
2016-07 |
Ages 52-61 |
Male |
10016 |
2016-07 |
Ages 62-99 |
Male |
5780 |
2016-07 |
Ages 00-02 |
Unknown |
0 |
2016-07 |
Ages 03-05 |
Unknown |
0 |
2016-07 |
Ages 06-09 |
Unknown |
0 |
2016-07 |
Ages 10-13 |
Unknown |
0 |
2016-07 |
Ages 14-17 |
Unknown |
0 |
2016-07 |
Ages 18-21 |
Unknown |
0 |
2016-07 |
Ages 22-31 |
Unknown |
0 |
2016-07 |
Ages 32-41 |
Unknown |
0 |
2016-07 |
Ages 42-51 |
Unknown |
0 |
2016-07 |
Ages 52-61 |
Unknown |
0 |
2016-07 |
Ages 62-99 |
Unknown |
1 |
2016-06 |
Ages 00-02 |
Female |
15377 |
2016-06 |
Ages 03-05 |
Female |
6774 |
2016-06 |
Ages 06-09 |
Female |
8002 |
2016-06 |
Ages 10-13 |
Female |
7859 |
2016-06 |
Ages 14-17 |
Female |
7740 |
2016-06 |
Ages 18-21 |
Female |
8456 |
2016-06 |
Ages 22-31 |
Female |
19439 |
2016-06 |
Ages 32-41 |
Female |
12063 |
2016-06 |
Ages 42-51 |
Female |
9407 |
2016-06 |
Ages 52-61 |
Female |
8346 |
2016-06 |
Ages 62-99 |
Female |
5441 |
2016-06 |
Ages 00-02 |
Male |
27294 |
2016-06 |
Ages 03-05 |
Male |
17845 |
2016-06 |
Ages 06-09 |
Male |
23200 |
2016-06 |
Ages 10-13 |
Male |
20581 |
2016-06 |
Ages 14-17 |
Male |
17950 |
2016-06 |
Ages 18-21 |
Male |
17711 |
2016-06 |
Ages 22-31 |
Male |
31293 |
2016-06 |
Ages 32-41 |
Male |
15751 |
2016-06 |
Ages 42-51 |
Male |
11277 |
2016-06 |
Ages 52-61 |
Male |
10015 |
2016-06 |
Ages 62-99 |
Male |
5746 |
2016-05 |
Ages 00-02 |
Female |
15266 |
2016-05 |
Ages 03-05 |
Female |
6710 |
2016-05 |
Ages 06-09 |
Female |
7976 |
2016-05 |
Ages 10-13 |
Female |
7816 |
2016-05 |
Ages 14-17 |
Female |
7734 |
2016-05 |
Ages 18-21 |
Female |
8408 |
2016-05 |
Ages 22-31 |
Female |
19398 |
2016-05 |
Ages 32-41 |
Female |
12037 |
2016-05 |
Ages 42-51 |
Female |
9399 |
2016-05 |
Ages 52-61 |
Female |
8335 |
2016-05 |
Ages 62-99 |
Female |
5413 |
2016-05 |
Ages 00-02 |
Male |
26944 |
2016-05 |
Ages 03-05 |
Male |
17622 |
2016-05 |
Ages 06-09 |
Male |
23026 |
2016-05 |
Ages 10-13 |
Male |
20563 |
2016-05 |
Ages 14-17 |
Male |
17892 |
2016-05 |
Ages 18-21 |
Male |
17611 |
2016-05 |
Ages 22-31 |
Male |
31156 |
2016-05 |
Ages 32-41 |
Male |
15684 |
2016-05 |
Ages 42-51 |
Male |
11288 |
2016-05 |
Ages 52-61 |
Male |
9994 |
2016-05 |
Ages 62-99 |
Male |
5720 |
2016-04 |
Ages 00-02 |
Female |
14972 |
2016-04 |
Ages 03-05 |
Female |
6780 |
2016-04 |
Ages 06-09 |
Female |
7925 |
2016-04 |
Ages 10-13 |
Female |
7795 |
2016-04 |
Ages 14-17 |
Female |
7715 |
2016-04 |
Ages 18-21 |
Female |
8432 |
2016-04 |
Ages 22-31 |
Female |
19361 |
2016-04 |
Ages 32-41 |
Female |
12000 |
2016-04 |
Ages 42-51 |
Female |
9409 |
2016-04 |
Ages 52-61 |
Female |
8336 |
2016-04 |
Ages 62-99 |
Female |
5393 |
2016-04 |
Ages 00-02 |
Male |
26295 |
2016-04 |
Ages 03-05 |
Male |
17739 |
2016-04 |
Ages 06-09 |
Male |
22889 |
2016-04 |
Ages 10-13 |
Male |
20487 |
2016-04 |
Ages 14-17 |
Male |
17797 |
2016-04 |
Ages 18-21 |
Male |
17467 |
2016-04 |
Ages 22-31 |
Male |
31065 |
2016-04 |
Ages 32-41 |
Male |
15649 |
2016-04 |
Ages 42-51 |
Male |
11314 |
2016-04 |
Ages 52-61 |
Male |
10000 |
2016-04 |
Ages 62-99 |
Male |
5705 |
2016-03 |
Ages 00-02 |
Female |
14876 |
2016-03 |
Ages 03-05 |
Female |
6669 |
2016-03 |
Ages 06-09 |
Female |
7889 |
2016-03 |
Ages 10-13 |
Female |
7784 |
2016-03 |
Ages 14-17 |
Female |
7714 |
2016-03 |
Ages 18-21 |
Female |
8396 |
2016-03 |
Ages 22-31 |
Female |
19339 |
2016-03 |
Ages 32-41 |
Female |
11959 |
2016-03 |
Ages 42-51 |
Female |
9423 |
2016-03 |
Ages 52-61 |
Female |
8319 |
2016-03 |
Ages 62-99 |
Female |
5364 |
2016-03 |
Ages 00-02 |
Male |
26114 |
2016-03 |
Ages 03-05 |
Male |
17709 |
2016-03 |
Ages 06-09 |
Male |
22797 |
2016-03 |
Ages 10-13 |
Male |
20376 |
2016-03 |
Ages 14-17 |
Male |
17703 |
2016-03 |
Ages 18-21 |
Male |
17432 |
2016-03 |
Ages 22-31 |
Male |
30908 |
2016-03 |
Ages 32-41 |
Male |
15558 |
2016-03 |
Ages 42-51 |
Male |
11326 |
2016-03 |
Ages 52-61 |
Male |
9985 |
2016-03 |
Ages 62-99 |
Male |
5679 |
2016-03 |
Ages 00-02 |
Unknown |
0 |
2016-03 |
Ages 03-05 |
Unknown |
0 |
2016-03 |
Ages 06-09 |
Unknown |
0 |
2016-03 |
Ages 10-13 |
Unknown |
0 |
2016-03 |
Ages 14-17 |
Unknown |
0 |
2016-03 |
Ages 18-21 |
Unknown |
0 |
2016-03 |
Ages 22-31 |
Unknown |
1 |
2016-03 |
Ages 32-41 |
Unknown |
0 |
2016-03 |
Ages 42-51 |
Unknown |
0 |
2016-03 |
Ages 52-61 |
Unknown |
0 |
2016-03 |
Ages 62-99 |
Unknown |
0 |
2016-02 |
Ages 00-02 |
Female |
14679 |
2016-02 |
Ages 03-05 |
Female |
6632 |
2016-02 |
Ages 06-09 |
Female |
7866 |
2016-02 |
Ages 10-13 |
Female |
7763 |
2016-02 |
Ages 14-17 |
Female |
7681 |
2016-02 |
Ages 18-21 |
Female |
8391 |
2016-02 |
Ages 22-31 |
Female |
19284 |
2016-02 |
Ages 32-41 |
Female |
11946 |
2016-02 |
Ages 42-51 |
Female |
9423 |
2016-02 |
Ages 52-61 |
Female |
8333 |
2016-02 |
Ages 62-99 |
Female |
5345 |
2016-02 |
Ages 00-02 |
Male |
25699 |
2016-02 |
Ages 03-05 |
Male |
17651 |
2016-02 |
Ages 06-09 |
Male |
22647 |
2016-02 |
Ages 10-13 |
Male |
20264 |
2016-02 |
Ages 14-17 |
Male |
17546 |
2016-02 |
Ages 18-21 |
Male |
17440 |
2016-02 |
Ages 22-31 |
Male |
30744 |
2016-02 |
Ages 32-41 |
Male |
15494 |
2016-02 |
Ages 42-51 |
Male |
11323 |
2016-02 |
Ages 52-61 |
Male |
9968 |
2016-02 |
Ages 62-99 |
Male |
5645 |
2016-02 |
Ages 00-02 |
Unknown |
0 |
2016-02 |
Ages 03-05 |
Unknown |
0 |
2016-02 |
Ages 06-09 |
Unknown |
0 |
2016-02 |
Ages 10-13 |
Unknown |
0 |
2016-02 |
Ages 14-17 |
Unknown |
0 |
2016-02 |
Ages 18-21 |
Unknown |
0 |
2016-02 |
Ages 22-31 |
Unknown |
1 |
2016-02 |
Ages 32-41 |
Unknown |
0 |
2016-02 |
Ages 42-51 |
Unknown |
0 |
2016-02 |
Ages 52-61 |
Unknown |
0 |
2016-02 |
Ages 62-99 |
Unknown |
0 |
2016-01 |
Ages 00-02 |
Female |
14449 |
2016-01 |
Ages 03-05 |
Female |
6677 |
2016-01 |
Ages 06-09 |
Female |
7873 |
2016-01 |
Ages 10-13 |
Female |
7754 |
2016-01 |
Ages 14-17 |
Female |
7695 |
2016-01 |
Ages 18-21 |
Female |
8369 |
2016-01 |
Ages 22-31 |
Female |
19272 |
2016-01 |
Ages 32-41 |
Female |
11926 |
2016-01 |
Ages 42-51 |
Female |
9420 |
2016-01 |
Ages 52-61 |
Female |
8327 |
2016-01 |
Ages 62-99 |
Female |
5329 |
2016-01 |
Ages 00-02 |
Male |
25423 |
2016-01 |
Ages 03-05 |
Male |
17930 |
2016-01 |
Ages 06-09 |
Male |
22560 |
2016-01 |
Ages 10-13 |
Male |
20257 |
2016-01 |
Ages 14-17 |
Male |
17475 |
2016-01 |
Ages 18-21 |
Male |
17368 |
2016-01 |
Ages 22-31 |
Male |
30670 |
2016-01 |
Ages 32-41 |
Male |
15410 |
2016-01 |
Ages 42-51 |
Male |
11335 |
2016-01 |
Ages 52-61 |
Male |
9969 |
2016-01 |
Ages 62-99 |
Male |
5622 |
2016-01 |
Ages 00-02 |
Unknown |
0 |
2016-01 |
Ages 03-05 |
Unknown |
0 |
2016-01 |
Ages 06-09 |
Unknown |
0 |
2016-01 |
Ages 10-13 |
Unknown |
0 |
2016-01 |
Ages 14-17 |
Unknown |
0 |
2016-01 |
Ages 18-21 |
Unknown |
0 |
2016-01 |
Ages 22-31 |
Unknown |
1 |
2016-01 |
Ages 32-41 |
Unknown |
0 |
2016-01 |
Ages 42-51 |
Unknown |
0 |
2016-01 |
Ages 52-61 |
Unknown |
0 |
2016-01 |
Ages 62-99 |
Unknown |
0 |
2015-12 |
Ages 00-02 |
Female |
14518 |
2015-12 |
Ages 03-05 |
Female |
6653 |
2015-12 |
Ages 06-09 |
Female |
7876 |
2015-12 |
Ages 10-13 |
Female |
7760 |
2015-12 |
Ages 14-17 |
Female |
7698 |
2015-12 |
Ages 18-21 |
Female |
8366 |
2015-12 |
Ages 22-31 |
Female |
19223 |
2015-12 |
Ages 32-41 |
Female |
11891 |
2015-12 |
Ages 42-51 |
Female |
9422 |
2015-12 |
Ages 52-61 |
Female |
8337 |
2015-12 |
Ages 62-99 |
Female |
5287 |
2015-12 |
Ages 00-02 |
Male |
25866 |
2015-12 |
Ages 03-05 |
Male |
17662 |
2015-12 |
Ages 06-09 |
Male |
22465 |
2015-12 |
Ages 10-13 |
Male |
20230 |
2015-12 |
Ages 14-17 |
Male |
17473 |
2015-12 |
Ages 18-21 |
Male |
17341 |
2015-12 |
Ages 22-31 |
Male |
30496 |
2015-12 |
Ages 32-41 |
Male |
15359 |
2015-12 |
Ages 42-51 |
Male |
11342 |
2015-12 |
Ages 52-61 |
Male |
9964 |
2015-12 |
Ages 62-99 |
Male |
5572 |
2015-12 |
Ages 00-02 |
Unknown |
0 |
2015-12 |
Ages 03-05 |
Unknown |
0 |
2015-12 |
Ages 06-09 |
Unknown |
0 |
2015-12 |
Ages 10-13 |
Unknown |
0 |
2015-12 |
Ages 14-17 |
Unknown |
0 |
2015-12 |
Ages 18-21 |
Unknown |
0 |
2015-12 |
Ages 22-31 |
Unknown |
1 |
2015-12 |
Ages 32-41 |
Unknown |
0 |
2015-12 |
Ages 42-51 |
Unknown |
0 |
2015-12 |
Ages 52-61 |
Unknown |
0 |
2015-12 |
Ages 62-99 |
Unknown |
0 |
2015-11 |
Ages 00-02 |
Female |
14555 |
2015-11 |
Ages 03-05 |
Female |
6560 |
2015-11 |
Ages 06-09 |
Female |
7865 |
2015-11 |
Ages 10-13 |
Female |
7717 |
2015-11 |
Ages 14-17 |
Female |
7681 |
2015-11 |
Ages 18-21 |
Female |
8322 |
2015-11 |
Ages 22-31 |
Female |
19174 |
2015-11 |
Ages 32-41 |
Female |
11853 |
2015-11 |
Ages 42-51 |
Female |
9446 |
2015-11 |
Ages 52-61 |
Female |
8307 |
2015-11 |
Ages 62-99 |
Female |
5248 |
2015-11 |
Ages 00-02 |
Male |
25895 |
2015-11 |
Ages 03-05 |
Male |
17521 |
2015-11 |
Ages 06-09 |
Male |
22352 |
2015-11 |
Ages 10-13 |
Male |
20158 |
2015-11 |
Ages 14-17 |
Male |
17462 |
2015-11 |
Ages 18-21 |
Male |
17256 |
2015-11 |
Ages 22-31 |
Male |
30370 |
2015-11 |
Ages 32-41 |
Male |
15306 |
2015-11 |
Ages 42-51 |
Male |
11370 |
2015-11 |
Ages 52-61 |
Male |
9942 |
2015-11 |
Ages 62-99 |
Male |
5533 |
2015-11 |
Ages 00-02 |
Unknown |
0 |
2015-11 |
Ages 03-05 |
Unknown |
0 |
2015-11 |
Ages 06-09 |
Unknown |
0 |
2015-11 |
Ages 10-13 |
Unknown |
0 |
2015-11 |
Ages 14-17 |
Unknown |
0 |
2015-11 |
Ages 18-21 |
Unknown |
0 |
2015-11 |
Ages 22-31 |
Unknown |
1 |
2015-11 |
Ages 32-41 |
Unknown |
0 |
2015-11 |
Ages 42-51 |
Unknown |
0 |
2015-11 |
Ages 52-61 |
Unknown |
0 |
2015-11 |
Ages 62-99 |
Unknown |
0 |
2015-10 |
Ages 00-02 |
Female |
14311 |
2015-10 |
Ages 03-05 |
Female |
6568 |
2015-10 |
Ages 06-09 |
Female |
7816 |
2015-10 |
Ages 10-13 |
Female |
7706 |
2015-10 |
Ages 14-17 |
Female |
7618 |
2015-10 |
Ages 18-21 |
Female |
8359 |
2015-10 |
Ages 22-31 |
Female |
19146 |
2015-10 |
Ages 32-41 |
Female |
11803 |
2015-10 |
Ages 42-51 |
Female |
9469 |
2015-10 |
Ages 52-61 |
Female |
8308 |
2015-10 |
Ages 62-99 |
Female |
5195 |
2015-10 |
Ages 00-02 |
Male |
25326 |
2015-10 |
Ages 03-05 |
Male |
17542 |
2015-10 |
Ages 06-09 |
Male |
22232 |
2015-10 |
Ages 10-13 |
Male |
20074 |
2015-10 |
Ages 14-17 |
Male |
17396 |
2015-10 |
Ages 18-21 |
Male |
17181 |
2015-10 |
Ages 22-31 |
Male |
30231 |
2015-10 |
Ages 32-41 |
Male |
15240 |
2015-10 |
Ages 42-51 |
Male |
11400 |
2015-10 |
Ages 52-61 |
Male |
9926 |
2015-10 |
Ages 62-99 |
Male |
5498 |
2015-10 |
Ages 00-02 |
Unknown |
0 |
2015-10 |
Ages 03-05 |
Unknown |
0 |
2015-10 |
Ages 06-09 |
Unknown |
0 |
2015-10 |
Ages 10-13 |
Unknown |
0 |
2015-10 |
Ages 14-17 |
Unknown |
0 |
2015-10 |
Ages 18-21 |
Unknown |
0 |
2015-10 |
Ages 22-31 |
Unknown |
1 |
2015-10 |
Ages 32-41 |
Unknown |
0 |
2015-10 |
Ages 42-51 |
Unknown |
0 |
2015-10 |
Ages 52-61 |
Unknown |
0 |
2015-10 |
Ages 62-99 |
Unknown |
0 |
2015-09 |
Ages 00-02 |
Female |
14271 |
2015-09 |
Ages 03-05 |
Female |
6488 |
2015-09 |
Ages 06-09 |
Female |
7806 |
2015-09 |
Ages 10-13 |
Female |
7672 |
2015-09 |
Ages 14-17 |
Female |
7617 |
2015-09 |
Ages 18-21 |
Female |
8378 |
2015-09 |
Ages 22-31 |
Female |
19073 |
2015-09 |
Ages 32-41 |
Female |
11772 |
2015-09 |
Ages 42-51 |
Female |
9477 |
2015-09 |
Ages 52-61 |
Female |
8277 |
2015-09 |
Ages 62-99 |
Female |
5173 |
2015-09 |
Ages 00-02 |
Male |
25260 |
2015-09 |
Ages 03-05 |
Male |
17417 |
2015-09 |
Ages 06-09 |
Male |
22234 |
2015-09 |
Ages 10-13 |
Male |
20056 |
2015-09 |
Ages 14-17 |
Male |
17356 |
2015-09 |
Ages 18-21 |
Male |
17136 |
2015-09 |
Ages 22-31 |
Male |
30107 |
2015-09 |
Ages 32-41 |
Male |
15151 |
2015-09 |
Ages 42-51 |
Male |
11436 |
2015-09 |
Ages 52-61 |
Male |
9889 |
2015-09 |
Ages 62-99 |
Male |
5459 |
2015-09 |
Ages 00-02 |
Unknown |
0 |
2015-09 |
Ages 03-05 |
Unknown |
0 |
2015-09 |
Ages 06-09 |
Unknown |
0 |
2015-09 |
Ages 10-13 |
Unknown |
0 |
2015-09 |
Ages 14-17 |
Unknown |
0 |
2015-09 |
Ages 18-21 |
Unknown |
0 |
2015-09 |
Ages 22-31 |
Unknown |
1 |
2015-09 |
Ages 32-41 |
Unknown |
0 |
2015-09 |
Ages 42-51 |
Unknown |
0 |
2015-09 |
Ages 52-61 |
Unknown |
0 |
2015-09 |
Ages 62-99 |
Unknown |
0 |
2015-08 |
Ages 00-02 |
Female |
14041 |
2015-08 |
Ages 03-05 |
Female |
6477 |
2015-08 |
Ages 06-09 |
Female |
7770 |
2015-08 |
Ages 10-13 |
Female |
7633 |
2015-08 |
Ages 14-17 |
Female |
7626 |
2015-08 |
Ages 18-21 |
Female |
8389 |
2015-08 |
Ages 22-31 |
Female |
19003 |
2015-08 |
Ages 32-41 |
Female |
11716 |
2015-08 |
Ages 42-51 |
Female |
9475 |
2015-08 |
Ages 52-61 |
Female |
8275 |
2015-08 |
Ages 62-99 |
Female |
5141 |
2015-08 |
Ages 00-02 |
Male |
24996 |
2015-08 |
Ages 03-05 |
Male |
17396 |
2015-08 |
Ages 06-09 |
Male |
22082 |
2015-08 |
Ages 10-13 |
Male |
19980 |
2015-08 |
Ages 14-17 |
Male |
17321 |
2015-08 |
Ages 18-21 |
Male |
17081 |
2015-08 |
Ages 22-31 |
Male |
29904 |
2015-08 |
Ages 32-41 |
Male |
15085 |
2015-08 |
Ages 42-51 |
Male |
11449 |
2015-08 |
Ages 52-61 |
Male |
9846 |
2015-08 |
Ages 62-99 |
Male |
5429 |
2015-08 |
Ages 00-02 |
Unknown |
0 |
2015-08 |
Ages 03-05 |
Unknown |
0 |
2015-08 |
Ages 06-09 |
Unknown |
0 |
2015-08 |
Ages 10-13 |
Unknown |
0 |
2015-08 |
Ages 14-17 |
Unknown |
0 |
2015-08 |
Ages 18-21 |
Unknown |
0 |
2015-08 |
Ages 22-31 |
Unknown |
1 |
2015-08 |
Ages 32-41 |
Unknown |
0 |
2015-08 |
Ages 42-51 |
Unknown |
0 |
2015-08 |
Ages 52-61 |
Unknown |
0 |
2015-08 |
Ages 62-99 |
Unknown |
0 |
2015-07 |
Ages 00-02 |
Female |
14066 |
2015-07 |
Ages 03-05 |
Female |
6456 |
2015-07 |
Ages 06-09 |
Female |
7765 |
2015-07 |
Ages 10-13 |
Female |
7635 |
2015-07 |
Ages 14-17 |
Female |
7621 |
2015-07 |
Ages 18-21 |
Female |
8380 |
2015-07 |
Ages 22-31 |
Female |
18916 |
2015-07 |
Ages 32-41 |
Female |
11718 |
2015-07 |
Ages 42-51 |
Female |
9486 |
2015-07 |
Ages 52-61 |
Female |
8259 |
2015-07 |
Ages 62-99 |
Female |
5096 |
2015-07 |
Ages 00-02 |
Male |
25043 |
2015-07 |
Ages 03-05 |
Male |
17291 |
2015-07 |
Ages 06-09 |
Male |
21923 |
2015-07 |
Ages 10-13 |
Male |
19907 |
2015-07 |
Ages 14-17 |
Male |
17248 |
2015-07 |
Ages 18-21 |
Male |
17059 |
2015-07 |
Ages 22-31 |
Male |
29744 |
2015-07 |
Ages 32-41 |
Male |
15030 |
2015-07 |
Ages 42-51 |
Male |
11456 |
2015-07 |
Ages 52-61 |
Male |
9815 |
2015-07 |
Ages 62-99 |
Male |
5386 |
2015-07 |
Ages 00-02 |
Unknown |
0 |
2015-07 |
Ages 03-05 |
Unknown |
0 |
2015-07 |
Ages 06-09 |
Unknown |
0 |
2015-07 |
Ages 10-13 |
Unknown |
0 |
2015-07 |
Ages 14-17 |
Unknown |
0 |
2015-07 |
Ages 18-21 |
Unknown |
0 |
2015-07 |
Ages 22-31 |
Unknown |
1 |
2015-07 |
Ages 32-41 |
Unknown |
0 |
2015-07 |
Ages 42-51 |
Unknown |
0 |
2015-07 |
Ages 52-61 |
Unknown |
0 |
2015-07 |
Ages 62-99 |
Unknown |
0 |
2015-06 |
Ages 00-02 |
Female |
14049 |
2015-06 |
Ages 03-05 |
Female |
6341 |
2015-06 |
Ages 06-09 |
Female |
7770 |
2015-06 |
Ages 10-13 |
Female |
7602 |
2015-06 |
Ages 14-17 |
Female |
7618 |
2015-06 |
Ages 18-21 |
Female |
8372 |
2015-06 |
Ages 22-31 |
Female |
18914 |
2015-06 |
Ages 32-41 |
Female |
11701 |
2015-06 |
Ages 42-51 |
Female |
9522 |
2015-06 |
Ages 52-61 |
Female |
8240 |
2015-06 |
Ages 62-99 |
Female |
5062 |
2015-06 |
Ages 00-02 |
Male |
24960 |
2015-06 |
Ages 03-05 |
Male |
17132 |
2015-06 |
Ages 06-09 |
Male |
21852 |
2015-06 |
Ages 10-13 |
Male |
19807 |
2015-06 |
Ages 14-17 |
Male |
17209 |
2015-06 |
Ages 18-21 |
Male |
17003 |
2015-06 |
Ages 22-31 |
Male |
29608 |
2015-06 |
Ages 32-41 |
Male |
14967 |
2015-06 |
Ages 42-51 |
Male |
11462 |
2015-06 |
Ages 52-61 |
Male |
9810 |
2015-06 |
Ages 62-99 |
Male |
5341 |
2015-06 |
Ages 00-02 |
Unknown |
0 |
2015-06 |
Ages 03-05 |
Unknown |
0 |
2015-06 |
Ages 06-09 |
Unknown |
0 |
2015-06 |
Ages 10-13 |
Unknown |
0 |
2015-06 |
Ages 14-17 |
Unknown |
0 |
2015-06 |
Ages 18-21 |
Unknown |
0 |
2015-06 |
Ages 22-31 |
Unknown |
1 |
2015-06 |
Ages 32-41 |
Unknown |
0 |
2015-06 |
Ages 42-51 |
Unknown |
0 |
2015-06 |
Ages 52-61 |
Unknown |
0 |
2015-06 |
Ages 62-99 |
Unknown |
0 |
2015-05 |
Ages 00-02 |
Female |
13840 |
2015-05 |
Ages 03-05 |
Female |
6328 |
2015-05 |
Ages 06-09 |
Female |
7788 |
2015-05 |
Ages 10-13 |
Female |
7562 |
2015-05 |
Ages 14-17 |
Female |
7578 |
2015-05 |
Ages 18-21 |
Female |
8351 |
2015-05 |
Ages 22-31 |
Female |
18901 |
2015-05 |
Ages 32-41 |
Female |
11645 |
2015-05 |
Ages 42-51 |
Female |
9520 |
2015-05 |
Ages 52-61 |
Female |
8242 |
2015-05 |
Ages 62-99 |
Female |
5046 |
2015-05 |
Ages 00-02 |
Male |
24357 |
2015-05 |
Ages 03-05 |
Male |
17099 |
2015-05 |
Ages 06-09 |
Male |
21780 |
2015-05 |
Ages 10-13 |
Male |
19686 |
2015-05 |
Ages 14-17 |
Male |
17097 |
2015-05 |
Ages 18-21 |
Male |
16922 |
2015-05 |
Ages 22-31 |
Male |
29523 |
2015-05 |
Ages 32-41 |
Male |
14918 |
2015-05 |
Ages 42-51 |
Male |
11482 |
2015-05 |
Ages 52-61 |
Male |
9800 |
2015-05 |
Ages 62-99 |
Male |
5308 |
2015-05 |
Ages 00-02 |
Unknown |
0 |
2015-05 |
Ages 03-05 |
Unknown |
0 |
2015-05 |
Ages 06-09 |
Unknown |
0 |
2015-05 |
Ages 10-13 |
Unknown |
0 |
2015-05 |
Ages 14-17 |
Unknown |
0 |
2015-05 |
Ages 18-21 |
Unknown |
0 |
2015-05 |
Ages 22-31 |
Unknown |
1 |
2015-05 |
Ages 32-41 |
Unknown |
0 |
2015-05 |
Ages 42-51 |
Unknown |
0 |
2015-05 |
Ages 52-61 |
Unknown |
0 |
2015-05 |
Ages 62-99 |
Unknown |
0 |
2015-04 |
Ages 00-02 |
Female |
13650 |
2015-04 |
Ages 03-05 |
Female |
6236 |
2015-04 |
Ages 06-09 |
Female |
7715 |
2015-04 |
Ages 10-13 |
Female |
7559 |
2015-04 |
Ages 14-17 |
Female |
7572 |
2015-04 |
Ages 18-21 |
Female |
8352 |
2015-04 |
Ages 22-31 |
Female |
18817 |
2015-04 |
Ages 32-41 |
Female |
11610 |
2015-04 |
Ages 42-51 |
Female |
9528 |
2015-04 |
Ages 52-61 |
Female |
8210 |
2015-04 |
Ages 62-99 |
Female |
5032 |
2015-04 |
Ages 00-02 |
Male |
23963 |
2015-04 |
Ages 03-05 |
Male |
16923 |
2015-04 |
Ages 06-09 |
Male |
21672 |
2015-04 |
Ages 10-13 |
Male |
19506 |
2015-04 |
Ages 14-17 |
Male |
17004 |
2015-04 |
Ages 18-21 |
Male |
16869 |
2015-04 |
Ages 22-31 |
Male |
29380 |
2015-04 |
Ages 32-41 |
Male |
14852 |
2015-04 |
Ages 42-51 |
Male |
11494 |
2015-04 |
Ages 52-61 |
Male |
9764 |
2015-04 |
Ages 62-99 |
Male |
5281 |
2015-04 |
Ages 00-02 |
Unknown |
0 |
2015-04 |
Ages 03-05 |
Unknown |
0 |
2015-04 |
Ages 06-09 |
Unknown |
0 |
2015-04 |
Ages 10-13 |
Unknown |
0 |
2015-04 |
Ages 14-17 |
Unknown |
0 |
2015-04 |
Ages 18-21 |
Unknown |
0 |
2015-04 |
Ages 22-31 |
Unknown |
1 |
2015-04 |
Ages 32-41 |
Unknown |
0 |
2015-04 |
Ages 42-51 |
Unknown |
0 |
2015-04 |
Ages 52-61 |
Unknown |
0 |
2015-04 |
Ages 62-99 |
Unknown |
0 |
2015-03 |
Ages 00-02 |
Female |
13510 |
2015-03 |
Ages 03-05 |
Female |
6257 |
2015-03 |
Ages 06-09 |
Female |
7677 |
2015-03 |
Ages 10-13 |
Female |
7534 |
2015-03 |
Ages 14-17 |
Female |
7531 |
2015-03 |
Ages 18-21 |
Female |
8379 |
2015-03 |
Ages 22-31 |
Female |
18766 |
2015-03 |
Ages 32-41 |
Female |
11612 |
2015-03 |
Ages 42-51 |
Female |
9521 |
2015-03 |
Ages 52-61 |
Female |
8193 |
2015-03 |
Ages 62-99 |
Female |
5002 |
2015-03 |
Ages 00-02 |
Male |
23726 |
2015-03 |
Ages 03-05 |
Male |
16780 |
2015-03 |
Ages 06-09 |
Male |
21582 |
2015-03 |
Ages 10-13 |
Male |
19457 |
2015-03 |
Ages 14-17 |
Male |
16890 |
2015-03 |
Ages 18-21 |
Male |
16833 |
2015-03 |
Ages 22-31 |
Male |
29227 |
2015-03 |
Ages 32-41 |
Male |
14785 |
2015-03 |
Ages 42-51 |
Male |
11514 |
2015-03 |
Ages 52-61 |
Male |
9747 |
2015-03 |
Ages 62-99 |
Male |
5239 |
2015-02 |
Ages 00-02 |
Female |
13406 |
2015-02 |
Ages 03-05 |
Female |
6212 |
2015-02 |
Ages 06-09 |
Female |
7646 |
2015-02 |
Ages 10-13 |
Female |
7519 |
2015-02 |
Ages 14-17 |
Female |
7499 |
2015-02 |
Ages 18-21 |
Female |
8369 |
2015-02 |
Ages 22-31 |
Female |
18750 |
2015-02 |
Ages 32-41 |
Female |
11569 |
2015-02 |
Ages 42-51 |
Female |
9547 |
2015-02 |
Ages 52-61 |
Female |
8178 |
2015-02 |
Ages 62-99 |
Female |
4985 |
2015-02 |
Ages 00-02 |
Male |
23460 |
2015-02 |
Ages 03-05 |
Male |
16648 |
2015-02 |
Ages 06-09 |
Male |
21535 |
2015-02 |
Ages 10-13 |
Male |
19332 |
2015-02 |
Ages 14-17 |
Male |
16839 |
2015-02 |
Ages 18-21 |
Male |
16755 |
2015-02 |
Ages 22-31 |
Male |
29102 |
2015-02 |
Ages 32-41 |
Male |
14720 |
2015-02 |
Ages 42-51 |
Male |
11545 |
2015-02 |
Ages 52-61 |
Male |
9723 |
2015-02 |
Ages 62-99 |
Male |
5226 |
2015-01 |
Ages 00-02 |
Female |
13188 |
2015-01 |
Ages 03-05 |
Female |
6188 |
2015-01 |
Ages 06-09 |
Female |
7644 |
2015-01 |
Ages 10-13 |
Female |
7489 |
2015-01 |
Ages 14-17 |
Female |
7458 |
2015-01 |
Ages 18-21 |
Female |
8360 |
2015-01 |
Ages 22-31 |
Female |
18680 |
2015-01 |
Ages 32-41 |
Female |
11531 |
2015-01 |
Ages 42-51 |
Female |
9567 |
2015-01 |
Ages 52-61 |
Female |
8161 |
2015-01 |
Ages 62-99 |
Female |
4957 |
2015-01 |
Ages 00-02 |
Male |
23354 |
2015-01 |
Ages 03-05 |
Male |
16637 |
2015-01 |
Ages 06-09 |
Male |
21411 |
2015-01 |
Ages 10-13 |
Male |
19286 |
2015-01 |
Ages 14-17 |
Male |
16758 |
2015-01 |
Ages 18-21 |
Male |
16763 |
2015-01 |
Ages 22-31 |
Male |
28965 |
2015-01 |
Ages 32-41 |
Male |
14672 |
2015-01 |
Ages 42-51 |
Male |
11559 |
2015-01 |
Ages 52-61 |
Male |
9678 |
2015-01 |
Ages 62-99 |
Male |
5201 |