| period | age | gender | population |
|---|---|---|---|
| 2025-08 | Ages 00-02 | Female | 23969 |
| 2025-08 | Ages 03-05 | Female | 20665 |
| 2025-08 | Ages 06-09 | Female | 18309 |
| 2025-08 | Ages 10-13 | Female | 13113 |
| 2025-08 | Ages 14-17 | Female | 12063 |
| 2025-08 | Ages 18-21 | Female | 11733 |
| 2025-08 | Ages 22-31 | Female | 22722 |
| 2025-08 | Ages 32-41 | Female | 17349 |
| 2025-08 | Ages 42-51 | Female | 10493 |
| 2025-08 | Ages 52-61 | Female | 7889 |
| 2025-08 | Ages 62-99 | Female | 8407 |
| 2025-08 | Ages 00-02 | Male | 41642 |
| 2025-08 | Ages 03-05 | Male | 49679 |
| 2025-08 | Ages 06-09 | Male | 50678 |
| 2025-08 | Ages 10-13 | Male | 35121 |
| 2025-08 | Ages 14-17 | Male | 29522 |
| 2025-08 | Ages 18-21 | Male | 27158 |
| 2025-08 | Ages 22-31 | Male | 47707 |
| 2025-08 | Ages 32-41 | Male | 26952 |
| 2025-08 | Ages 42-51 | Male | 13412 |
| 2025-08 | Ages 52-61 | Male | 9496 |
| 2025-08 | Ages 62-99 | Male | 9108 |
| 2025-08 | Ages 00-02 | Unknown | * |
| 2025-08 | Ages 03-05 | Unknown | * |
| 2025-08 | Ages 06-09 | Unknown | * |
| 2025-08 | Ages 10-13 | Unknown | * |
| 2025-08 | Ages 14-17 | Unknown | * |
| 2025-08 | Ages 18-21 | Unknown | * |
| 2025-08 | Ages 22-31 | Unknown | * |
| 2025-08 | Ages 32-41 | Unknown | * |
| 2025-08 | Ages 42-51 | Unknown | * |
| 2025-08 | Ages 52-61 | Unknown | * |
| 2025-08 | Ages 62-99 | Unknown | * |
| 2025-07 | Ages 00-02 | Female | 24205 |
| 2025-07 | Ages 03-05 | Female | 20657 |
| 2025-07 | Ages 06-09 | Female | 18043 |
| 2025-07 | Ages 10-13 | Female | 13025 |
| 2025-07 | Ages 14-17 | Female | 12003 |
| 2025-07 | Ages 18-21 | Female | 11642 |
| 2025-07 | Ages 22-31 | Female | 22662 |
| 2025-07 | Ages 32-41 | Female | 17264 |
| 2025-07 | Ages 42-51 | Female | 10481 |
| 2025-07 | Ages 52-61 | Female | 7886 |
| 2025-07 | Ages 62-99 | Female | 8355 |
| 2025-07 | Ages 00-02 | Male | 42334 |
| 2025-07 | Ages 03-05 | Male | 49463 |
| 2025-07 | Ages 06-09 | Male | 50125 |
| 2025-07 | Ages 10-13 | Male | 34813 |
| 2025-07 | Ages 14-17 | Male | 29423 |
| 2025-07 | Ages 18-21 | Male | 27016 |
| 2025-07 | Ages 22-31 | Male | 47485 |
| 2025-07 | Ages 32-41 | Male | 26803 |
| 2025-07 | Ages 42-51 | Male | 13336 |
| 2025-07 | Ages 52-61 | Male | 9494 |
| 2025-07 | Ages 62-99 | Male | 9076 |
| 2025-07 | Ages 00-02 | Unknown | * |
| 2025-07 | Ages 03-05 | Unknown | * |
| 2025-07 | Ages 06-09 | Unknown | * |
| 2025-07 | Ages 10-13 | Unknown | * |
| 2025-07 | Ages 14-17 | Unknown | * |
| 2025-07 | Ages 18-21 | Unknown | * |
| 2025-07 | Ages 22-31 | Unknown | * |
| 2025-07 | Ages 32-41 | Unknown | * |
| 2025-07 | Ages 42-51 | Unknown | * |
| 2025-07 | Ages 52-61 | Unknown | * |
| 2025-07 | Ages 62-99 | Unknown | * |
| 2025-06 | Ages 00-02 | Female | 24359 |
| 2025-06 | Ages 03-05 | Female | 20440 |
| 2025-06 | Ages 06-09 | Female | 17739 |
| 2025-06 | Ages 10-13 | Female | 12967 |
| 2025-06 | Ages 14-17 | Female | 11911 |
| 2025-06 | Ages 18-21 | Female | 11551 |
| 2025-06 | Ages 22-31 | Female | 22592 |
| 2025-06 | Ages 32-41 | Female | 17229 |
| 2025-06 | Ages 42-51 | Female | 10433 |
| 2025-06 | Ages 52-61 | Female | 7893 |
| 2025-06 | Ages 62-99 | Female | 8325 |
| 2025-06 | Ages 00-02 | Male | 42601 |
| 2025-06 | Ages 03-05 | Male | 49194 |
| 2025-06 | Ages 06-09 | Male | 49491 |
| 2025-06 | Ages 10-13 | Male | 34569 |
| 2025-06 | Ages 14-17 | Male | 29254 |
| 2025-06 | Ages 18-21 | Male | 26863 |
| 2025-06 | Ages 22-31 | Male | 47260 |
| 2025-06 | Ages 32-41 | Male | 26628 |
| 2025-06 | Ages 42-51 | Male | 13264 |
| 2025-06 | Ages 52-61 | Male | 9488 |
| 2025-06 | Ages 62-99 | Male | 9046 |
| 2025-06 | Ages 00-02 | Unknown | * |
| 2025-06 | Ages 03-05 | Unknown | * |
| 2025-06 | Ages 06-09 | Unknown | * |
| 2025-06 | Ages 10-13 | Unknown | * |
| 2025-06 | Ages 14-17 | Unknown | * |
| 2025-06 | Ages 18-21 | Unknown | * |
| 2025-06 | Ages 22-31 | Unknown | * |
| 2025-06 | Ages 32-41 | Unknown | * |
| 2025-06 | Ages 42-51 | Unknown | * |
| 2025-06 | Ages 52-61 | Unknown | * |
| 2025-06 | Ages 62-99 | Unknown | * |
| 2025-05 | Ages 00-02 | Female | 24037 |
| 2025-05 | Ages 03-05 | Female | 20557 |
| 2025-05 | Ages 06-09 | Female | 17293 |
| 2025-05 | Ages 10-13 | Female | 12842 |
| 2025-05 | Ages 14-17 | Female | 11772 |
| 2025-05 | Ages 18-21 | Female | 11483 |
| 2025-05 | Ages 22-31 | Female | 22526 |
| 2025-05 | Ages 32-41 | Female | 17193 |
| 2025-05 | Ages 42-51 | Female | 10373 |
| 2025-05 | Ages 52-61 | Female | 7901 |
| 2025-05 | Ages 62-99 | Female | 8303 |
| 2025-05 | Ages 00-02 | Male | 42178 |
| 2025-05 | Ages 03-05 | Male | 49202 |
| 2025-05 | Ages 06-09 | Male | 48675 |
| 2025-05 | Ages 10-13 | Male | 34186 |
| 2025-05 | Ages 14-17 | Male | 29017 |
| 2025-05 | Ages 18-21 | Male | 26736 |
| 2025-05 | Ages 22-31 | Male | 47036 |
| 2025-05 | Ages 32-41 | Male | 26519 |
| 2025-05 | Ages 42-51 | Male | 13207 |
| 2025-05 | Ages 52-61 | Male | 9520 |
| 2025-05 | Ages 62-99 | Male | 8994 |
| 2025-05 | Ages 00-02 | Unknown | * |
| 2025-05 | Ages 03-05 | Unknown | * |
| 2025-05 | Ages 06-09 | Unknown | * |
| 2025-05 | Ages 10-13 | Unknown | * |
| 2025-05 | Ages 14-17 | Unknown | * |
| 2025-05 | Ages 18-21 | Unknown | * |
| 2025-05 | Ages 22-31 | Unknown | * |
| 2025-05 | Ages 32-41 | Unknown | * |
| 2025-05 | Ages 42-51 | Unknown | * |
| 2025-05 | Ages 52-61 | Unknown | * |
| 2025-05 | Ages 62-99 | Unknown | * |
| 2025-04 | Ages 00-02 | Female | 23871 |
| 2025-04 | Ages 03-05 | Female | 20383 |
| 2025-04 | Ages 06-09 | Female | 16940 |
| 2025-04 | Ages 10-13 | Female | 12689 |
| 2025-04 | Ages 14-17 | Female | 11670 |
| 2025-04 | Ages 18-21 | Female | 11466 |
| 2025-04 | Ages 22-31 | Female | 22461 |
| 2025-04 | Ages 32-41 | Female | 17112 |
| 2025-04 | Ages 42-51 | Female | 10326 |
| 2025-04 | Ages 52-61 | Female | 7918 |
| 2025-04 | Ages 62-99 | Female | 8288 |
| 2025-04 | Ages 00-02 | Male | 41872 |
| 2025-04 | Ages 03-05 | Male | 48920 |
| 2025-04 | Ages 06-09 | Male | 48001 |
| 2025-04 | Ages 10-13 | Male | 33845 |
| 2025-04 | Ages 14-17 | Male | 28721 |
| 2025-04 | Ages 18-21 | Male | 26623 |
| 2025-04 | Ages 22-31 | Male | 46827 |
| 2025-04 | Ages 32-41 | Male | 26380 |
| 2025-04 | Ages 42-51 | Male | 13155 |
| 2025-04 | Ages 52-61 | Male | 9534 |
| 2025-04 | Ages 62-99 | Male | 8945 |
| 2025-04 | Ages 00-02 | Unknown | * |
| 2025-04 | Ages 03-05 | Unknown | * |
| 2025-04 | Ages 06-09 | Unknown | * |
| 2025-04 | Ages 10-13 | Unknown | * |
| 2025-04 | Ages 14-17 | Unknown | * |
| 2025-04 | Ages 18-21 | Unknown | * |
| 2025-04 | Ages 22-31 | Unknown | * |
| 2025-04 | Ages 32-41 | Unknown | * |
| 2025-04 | Ages 42-51 | Unknown | * |
| 2025-04 | Ages 52-61 | Unknown | * |
| 2025-04 | Ages 62-99 | Unknown | * |
| 2025-03 | Ages 00-02 | Female | 23359 |
| 2025-03 | Ages 03-05 | Female | 20303 |
| 2025-03 | Ages 06-09 | Female | 16600 |
| 2025-03 | Ages 10-13 | Female | 12528 |
| 2025-03 | Ages 14-17 | Female | 11538 |
| 2025-03 | Ages 18-21 | Female | 11411 |
| 2025-03 | Ages 22-31 | Female | 22411 |
| 2025-03 | Ages 32-41 | Female | 17047 |
| 2025-03 | Ages 42-51 | Female | 10315 |
| 2025-03 | Ages 52-61 | Female | 7934 |
| 2025-03 | Ages 62-99 | Female | 8280 |
| 2025-03 | Ages 00-02 | Male | 41165 |
| 2025-03 | Ages 03-05 | Male | 48666 |
| 2025-03 | Ages 06-09 | Male | 47204 |
| 2025-03 | Ages 10-13 | Male | 33499 |
| 2025-03 | Ages 14-17 | Male | 28453 |
| 2025-03 | Ages 18-21 | Male | 26513 |
| 2025-03 | Ages 22-31 | Male | 46609 |
| 2025-03 | Ages 32-41 | Male | 26221 |
| 2025-03 | Ages 42-51 | Male | 13095 |
| 2025-03 | Ages 52-61 | Male | 9552 |
| 2025-03 | Ages 62-99 | Male | 8936 |
| 2025-03 | Ages 00-02 | Unknown | * |
| 2025-03 | Ages 03-05 | Unknown | * |
| 2025-03 | Ages 06-09 | Unknown | * |
| 2025-03 | Ages 10-13 | Unknown | * |
| 2025-03 | Ages 14-17 | Unknown | * |
| 2025-03 | Ages 18-21 | Unknown | * |
| 2025-03 | Ages 22-31 | Unknown | * |
| 2025-03 | Ages 32-41 | Unknown | * |
| 2025-03 | Ages 42-51 | Unknown | * |
| 2025-03 | Ages 52-61 | Unknown | * |
| 2025-03 | Ages 62-99 | Unknown | * |
| 2025-02 | Ages 00-02 | Female | 23092 |
| 2025-02 | Ages 03-05 | Female | 20118 |
| 2025-02 | Ages 06-09 | Female | 16349 |
| 2025-02 | Ages 10-13 | Female | 12373 |
| 2025-02 | Ages 14-17 | Female | 11442 |
| 2025-02 | Ages 18-21 | Female | 11333 |
| 2025-02 | Ages 22-31 | Female | 22392 |
| 2025-02 | Ages 32-41 | Female | 17037 |
| 2025-02 | Ages 42-51 | Female | 10284 |
| 2025-02 | Ages 52-61 | Female | 7937 |
| 2025-02 | Ages 62-99 | Female | 8266 |
| 2025-02 | Ages 00-02 | Male | 40800 |
| 2025-02 | Ages 03-05 | Male | 48474 |
| 2025-02 | Ages 06-09 | Male | 46481 |
| 2025-02 | Ages 10-13 | Male | 33181 |
| 2025-02 | Ages 14-17 | Male | 28285 |
| 2025-02 | Ages 18-21 | Male | 26362 |
| 2025-02 | Ages 22-31 | Male | 46385 |
| 2025-02 | Ages 32-41 | Male | 26102 |
| 2025-02 | Ages 42-51 | Male | 13062 |
| 2025-02 | Ages 52-61 | Male | 9569 |
| 2025-02 | Ages 62-99 | Male | 8908 |
| 2025-02 | Ages 00-02 | Unknown | * |
| 2025-02 | Ages 03-05 | Unknown | * |
| 2025-02 | Ages 06-09 | Unknown | * |
| 2025-02 | Ages 10-13 | Unknown | * |
| 2025-02 | Ages 14-17 | Unknown | * |
| 2025-02 | Ages 18-21 | Unknown | * |
| 2025-02 | Ages 22-31 | Unknown | * |
| 2025-02 | Ages 32-41 | Unknown | * |
| 2025-02 | Ages 42-51 | Unknown | * |
| 2025-02 | Ages 52-61 | Unknown | * |
| 2025-02 | Ages 62-99 | Unknown | * |
| 2025-01 | Ages 00-02 | Female | 23193 |
| 2025-01 | Ages 03-05 | Female | 19732 |
| 2025-01 | Ages 06-09 | Female | 16120 |
| 2025-01 | Ages 10-13 | Female | 12295 |
| 2025-01 | Ages 14-17 | Female | 11348 |
| 2025-01 | Ages 18-21 | Female | 11251 |
| 2025-01 | Ages 22-31 | Female | 22327 |
| 2025-01 | Ages 32-41 | Female | 16986 |
| 2025-01 | Ages 42-51 | Female | 10233 |
| 2025-01 | Ages 52-61 | Female | 7955 |
| 2025-01 | Ages 62-99 | Female | 8243 |
| 2025-01 | Ages 00-02 | Male | 41029 |
| 2025-01 | Ages 03-05 | Male | 47901 |
| 2025-01 | Ages 06-09 | Male | 45730 |
| 2025-01 | Ages 10-13 | Male | 32921 |
| 2025-01 | Ages 14-17 | Male | 28173 |
| 2025-01 | Ages 18-21 | Male | 26240 |
| 2025-01 | Ages 22-31 | Male | 46199 |
| 2025-01 | Ages 32-41 | Male | 25938 |
| 2025-01 | Ages 42-51 | Male | 13014 |
| 2025-01 | Ages 52-61 | Male | 9562 |
| 2025-01 | Ages 62-99 | Male | 8892 |
| 2025-01 | Ages 00-02 | Unknown | * |
| 2025-01 | Ages 03-05 | Unknown | * |
| 2025-01 | Ages 06-09 | Unknown | * |
| 2025-01 | Ages 10-13 | Unknown | * |
| 2025-01 | Ages 14-17 | Unknown | * |
| 2025-01 | Ages 18-21 | Unknown | * |
| 2025-01 | Ages 22-31 | Unknown | * |
| 2025-01 | Ages 32-41 | Unknown | * |
| 2025-01 | Ages 42-51 | Unknown | * |
| 2025-01 | Ages 52-61 | Unknown | * |
| 2025-01 | Ages 62-99 | Unknown | * |
| 2024-12 | Ages 00-02 | Female | 23381 |
| 2024-12 | Ages 03-05 | Female | 19494 |
| 2024-12 | Ages 06-09 | Female | 15805 |
| 2024-12 | Ages 10-13 | Female | 12228 |
| 2024-12 | Ages 14-17 | Female | 11280 |
| 2024-12 | Ages 18-21 | Female | 11202 |
| 2024-12 | Ages 22-31 | Female | 22263 |
| 2024-12 | Ages 32-41 | Female | 16920 |
| 2024-12 | Ages 42-51 | Female | 10194 |
| 2024-12 | Ages 52-61 | Female | 7988 |
| 2024-12 | Ages 62-99 | Female | 8198 |
| 2024-12 | Ages 00-02 | Male | 41517 |
| 2024-12 | Ages 03-05 | Male | 47243 |
| 2024-12 | Ages 06-09 | Male | 45041 |
| 2024-12 | Ages 10-13 | Male | 32694 |
| 2024-12 | Ages 14-17 | Male | 28004 |
| 2024-12 | Ages 18-21 | Male | 26117 |
| 2024-12 | Ages 22-31 | Male | 46027 |
| 2024-12 | Ages 32-41 | Male | 25795 |
| 2024-12 | Ages 42-51 | Male | 12947 |
| 2024-12 | Ages 52-61 | Male | 9572 |
| 2024-12 | Ages 62-99 | Male | 8852 |
| 2024-12 | Ages 00-02 | Unknown | * |
| 2024-12 | Ages 03-05 | Unknown | * |
| 2024-12 | Ages 06-09 | Unknown | * |
| 2024-12 | Ages 10-13 | Unknown | * |
| 2024-12 | Ages 14-17 | Unknown | * |
| 2024-12 | Ages 18-21 | Unknown | * |
| 2024-12 | Ages 22-31 | Unknown | * |
| 2024-12 | Ages 32-41 | Unknown | * |
| 2024-12 | Ages 42-51 | Unknown | * |
| 2024-12 | Ages 52-61 | Unknown | * |
| 2024-12 | Ages 62-99 | Unknown | * |
| 2024-11 | Ages 00-02 | Female | 23163 |
| 2024-11 | Ages 03-05 | Female | 19332 |
| 2024-11 | Ages 06-09 | Female | 15563 |
| 2024-11 | Ages 10-13 | Female | 12075 |
| 2024-11 | Ages 14-17 | Female | 11241 |
| 2024-11 | Ages 18-21 | Female | 11104 |
| 2024-11 | Ages 22-31 | Female | 22225 |
| 2024-11 | Ages 32-41 | Female | 16847 |
| 2024-11 | Ages 42-51 | Female | 10157 |
| 2024-11 | Ages 52-61 | Female | 7989 |
| 2024-11 | Ages 62-99 | Female | 8168 |
| 2024-11 | Ages 00-02 | Male | 41275 |
| 2024-11 | Ages 03-05 | Male | 46985 |
| 2024-11 | Ages 06-09 | Male | 44411 |
| 2024-11 | Ages 10-13 | Male | 32428 |
| 2024-11 | Ages 14-17 | Male | 27902 |
| 2024-11 | Ages 18-21 | Male | 25975 |
| 2024-11 | Ages 22-31 | Male | 45826 |
| 2024-11 | Ages 32-41 | Male | 25628 |
| 2024-11 | Ages 42-51 | Male | 12883 |
| 2024-11 | Ages 52-61 | Male | 9589 |
| 2024-11 | Ages 62-99 | Male | 8803 |
| 2024-11 | Ages 00-02 | Unknown | * |
| 2024-11 | Ages 03-05 | Unknown | * |
| 2024-11 | Ages 06-09 | Unknown | * |
| 2024-11 | Ages 10-13 | Unknown | * |
| 2024-11 | Ages 14-17 | Unknown | * |
| 2024-11 | Ages 18-21 | Unknown | * |
| 2024-11 | Ages 22-31 | Unknown | * |
| 2024-11 | Ages 32-41 | Unknown | * |
| 2024-11 | Ages 42-51 | Unknown | * |
| 2024-11 | Ages 52-61 | Unknown | * |
| 2024-11 | Ages 62-99 | Unknown | * |
| 2024-10 | Ages 00-02 | Female | 23452 |
| 2024-10 | Ages 03-05 | Female | 19284 |
| 2024-10 | Ages 06-09 | Female | 15380 |
| 2024-10 | Ages 10-13 | Female | 12014 |
| 2024-10 | Ages 14-17 | Female | 11151 |
| 2024-10 | Ages 18-21 | Female | 11031 |
| 2024-10 | Ages 22-31 | Female | 22195 |
| 2024-10 | Ages 32-41 | Female | 16794 |
| 2024-10 | Ages 42-51 | Female | 10117 |
| 2024-10 | Ages 52-61 | Female | 8006 |
| 2024-10 | Ages 62-99 | Female | 8134 |
| 2024-10 | Ages 00-02 | Male | 41753 |
| 2024-10 | Ages 03-05 | Male | 46802 |
| 2024-10 | Ages 06-09 | Male | 43882 |
| 2024-10 | Ages 10-13 | Male | 32267 |
| 2024-10 | Ages 14-17 | Male | 27784 |
| 2024-10 | Ages 18-21 | Male | 25839 |
| 2024-10 | Ages 22-31 | Male | 45671 |
| 2024-10 | Ages 32-41 | Male | 25442 |
| 2024-10 | Ages 42-51 | Male | 12827 |
| 2024-10 | Ages 52-61 | Male | 9606 |
| 2024-10 | Ages 62-99 | Male | 8768 |
| 2024-10 | Ages 00-02 | Unknown | * |
| 2024-10 | Ages 03-05 | Unknown | * |
| 2024-10 | Ages 06-09 | Unknown | * |
| 2024-10 | Ages 10-13 | Unknown | * |
| 2024-10 | Ages 14-17 | Unknown | * |
| 2024-10 | Ages 18-21 | Unknown | * |
| 2024-10 | Ages 22-31 | Unknown | * |
| 2024-10 | Ages 32-41 | Unknown | * |
| 2024-10 | Ages 42-51 | Unknown | * |
| 2024-10 | Ages 52-61 | Unknown | * |
| 2024-10 | Ages 62-99 | Unknown | * |
| 2024-09 | Ages 00-02 | Female | 23355 |
| 2024-09 | Ages 03-05 | Female | 18895 |
| 2024-09 | Ages 06-09 | Female | 15124 |
| 2024-09 | Ages 10-13 | Female | 11904 |
| 2024-09 | Ages 14-17 | Female | 11039 |
| 2024-09 | Ages 18-21 | Female | 10975 |
| 2024-09 | Ages 22-31 | Female | 22140 |
| 2024-09 | Ages 32-41 | Female | 16742 |
| 2024-09 | Ages 42-51 | Female | 10093 |
| 2024-09 | Ages 52-61 | Female | 8005 |
| 2024-09 | Ages 62-99 | Female | 8100 |
| 2024-09 | Ages 00-02 | Male | 41805 |
| 2024-09 | Ages 03-05 | Male | 45905 |
| 2024-09 | Ages 06-09 | Male | 43307 |
| 2024-09 | Ages 10-13 | Male | 31953 |
| 2024-09 | Ages 14-17 | Male | 27609 |
| 2024-09 | Ages 18-21 | Male | 25696 |
| 2024-09 | Ages 22-31 | Male | 45421 |
| 2024-09 | Ages 32-41 | Male | 25332 |
| 2024-09 | Ages 42-51 | Male | 12736 |
| 2024-09 | Ages 52-61 | Male | 9621 |
| 2024-09 | Ages 62-99 | Male | 8753 |
| 2024-09 | Ages 00-02 | Unknown | * |
| 2024-09 | Ages 03-05 | Unknown | * |
| 2024-09 | Ages 06-09 | Unknown | * |
| 2024-09 | Ages 10-13 | Unknown | * |
| 2024-09 | Ages 14-17 | Unknown | * |
| 2024-09 | Ages 18-21 | Unknown | * |
| 2024-09 | Ages 22-31 | Unknown | * |
| 2024-09 | Ages 32-41 | Unknown | * |
| 2024-09 | Ages 42-51 | Unknown | * |
| 2024-09 | Ages 52-61 | Unknown | * |
| 2024-09 | Ages 62-99 | Unknown | * |
| 2024-08 | Ages 00-02 | Female | 23343 |
| 2024-08 | Ages 03-05 | Female | 18598 |
| 2024-08 | Ages 06-09 | Female | 14869 |
| 2024-08 | Ages 10-13 | Female | 11750 |
| 2024-08 | Ages 14-17 | Female | 10929 |
| 2024-08 | Ages 18-21 | Female | 10903 |
| 2024-08 | Ages 22-31 | Female | 22087 |
| 2024-08 | Ages 32-41 | Female | 16715 |
| 2024-08 | Ages 42-51 | Female | 10045 |
| 2024-08 | Ages 52-61 | Female | 8001 |
| 2024-08 | Ages 62-99 | Female | 8090 |
| 2024-08 | Ages 00-02 | Male | 41845 |
| 2024-08 | Ages 03-05 | Male | 45407 |
| 2024-08 | Ages 06-09 | Male | 42610 |
| 2024-08 | Ages 10-13 | Male | 31619 |
| 2024-08 | Ages 14-17 | Male | 27434 |
| 2024-08 | Ages 18-21 | Male | 25564 |
| 2024-08 | Ages 22-31 | Male | 45219 |
| 2024-08 | Ages 32-41 | Male | 25193 |
| 2024-08 | Ages 42-51 | Male | 12678 |
| 2024-08 | Ages 52-61 | Male | 9628 |
| 2024-08 | Ages 62-99 | Male | 8715 |
| 2024-08 | Ages 00-02 | Unknown | * |
| 2024-08 | Ages 03-05 | Unknown | * |
| 2024-08 | Ages 06-09 | Unknown | * |
| 2024-08 | Ages 10-13 | Unknown | * |
| 2024-08 | Ages 14-17 | Unknown | * |
| 2024-08 | Ages 18-21 | Unknown | * |
| 2024-08 | Ages 22-31 | Unknown | * |
| 2024-08 | Ages 32-41 | Unknown | * |
| 2024-08 | Ages 42-51 | Unknown | * |
| 2024-08 | Ages 52-61 | Unknown | * |
| 2024-08 | Ages 62-99 | Unknown | * |
| 2024-07 | Ages 00-02 | Female | 23547 |
| 2024-07 | Ages 03-05 | Female | 18248 |
| 2024-07 | Ages 06-09 | Female | 14710 |
| 2024-07 | Ages 10-13 | Female | 11567 |
| 2024-07 | Ages 14-17 | Female | 10899 |
| 2024-07 | Ages 18-21 | Female | 10822 |
| 2024-07 | Ages 22-31 | Female | 22050 |
| 2024-07 | Ages 32-41 | Female | 16629 |
| 2024-07 | Ages 42-51 | Female | 10028 |
| 2024-07 | Ages 52-61 | Female | 7995 |
| 2024-07 | Ages 62-99 | Female | 8069 |
| 2024-07 | Ages 00-02 | Male | 42237 |
| 2024-07 | Ages 03-05 | Male | 44667 |
| 2024-07 | Ages 06-09 | Male | 42071 |
| 2024-07 | Ages 10-13 | Male | 31366 |
| 2024-07 | Ages 14-17 | Male | 27311 |
| 2024-07 | Ages 18-21 | Male | 25419 |
| 2024-07 | Ages 22-31 | Male | 45025 |
| 2024-07 | Ages 32-41 | Male | 25053 |
| 2024-07 | Ages 42-51 | Male | 12618 |
| 2024-07 | Ages 52-61 | Male | 9649 |
| 2024-07 | Ages 62-99 | Male | 8687 |
| 2024-07 | Ages 00-02 | Unknown | * |
| 2024-07 | Ages 03-05 | Unknown | * |
| 2024-07 | Ages 06-09 | Unknown | * |
| 2024-07 | Ages 10-13 | Unknown | * |
| 2024-07 | Ages 14-17 | Unknown | * |
| 2024-07 | Ages 18-21 | Unknown | * |
| 2024-07 | Ages 22-31 | Unknown | * |
| 2024-07 | Ages 32-41 | Unknown | * |
| 2024-07 | Ages 42-51 | Unknown | * |
| 2024-07 | Ages 52-61 | Unknown | * |
| 2024-07 | Ages 62-99 | Unknown | * |
| 2024-06 | Ages 00-02 | Female | 23433 |
| 2024-06 | Ages 03-05 | Female | 18087 |
| 2024-06 | Ages 06-09 | Female | 14477 |
| 2024-06 | Ages 10-13 | Female | 11465 |
| 2024-06 | Ages 14-17 | Female | 10827 |
| 2024-06 | Ages 18-21 | Female | 10753 |
| 2024-06 | Ages 22-31 | Female | 21997 |
| 2024-06 | Ages 32-41 | Female | 16577 |
| 2024-06 | Ages 42-51 | Female | 9980 |
| 2024-06 | Ages 52-61 | Female | 8017 |
| 2024-06 | Ages 62-99 | Female | 8038 |
| 2024-06 | Ages 00-02 | Male | 42063 |
| 2024-06 | Ages 03-05 | Male | 44406 |
| 2024-06 | Ages 06-09 | Male | 41524 |
| 2024-06 | Ages 10-13 | Male | 31037 |
| 2024-06 | Ages 14-17 | Male | 27135 |
| 2024-06 | Ages 18-21 | Male | 25228 |
| 2024-06 | Ages 22-31 | Male | 44863 |
| 2024-06 | Ages 32-41 | Male | 24892 |
| 2024-06 | Ages 42-51 | Male | 12577 |
| 2024-06 | Ages 52-61 | Male | 9665 |
| 2024-06 | Ages 62-99 | Male | 8677 |
| 2024-06 | Ages 00-02 | Unknown | * |
| 2024-06 | Ages 03-05 | Unknown | * |
| 2024-06 | Ages 06-09 | Unknown | * |
| 2024-06 | Ages 10-13 | Unknown | * |
| 2024-06 | Ages 14-17 | Unknown | * |
| 2024-06 | Ages 18-21 | Unknown | * |
| 2024-06 | Ages 22-31 | Unknown | * |
| 2024-06 | Ages 32-41 | Unknown | * |
| 2024-06 | Ages 42-51 | Unknown | * |
| 2024-06 | Ages 52-61 | Unknown | * |
| 2024-06 | Ages 62-99 | Unknown | * |
| 2024-05 | Ages 00-02 | Female | 23424 |
| 2024-05 | Ages 03-05 | Female | 17677 |
| 2024-05 | Ages 06-09 | Female | 14212 |
| 2024-05 | Ages 10-13 | Female | 11412 |
| 2024-05 | Ages 14-17 | Female | 10749 |
| 2024-05 | Ages 18-21 | Female | 10682 |
| 2024-05 | Ages 22-31 | Female | 21983 |
| 2024-05 | Ages 32-41 | Female | 16550 |
| 2024-05 | Ages 42-51 | Female | 9920 |
| 2024-05 | Ages 52-61 | Female | 8036 |
| 2024-05 | Ages 62-99 | Female | 8016 |
| 2024-05 | Ages 00-02 | Male | 42067 |
| 2024-05 | Ages 03-05 | Male | 43681 |
| 2024-05 | Ages 06-09 | Male | 40962 |
| 2024-05 | Ages 10-13 | Male | 30706 |
| 2024-05 | Ages 14-17 | Male | 26938 |
| 2024-05 | Ages 18-21 | Male | 25127 |
| 2024-05 | Ages 22-31 | Male | 44669 |
| 2024-05 | Ages 32-41 | Male | 24757 |
| 2024-05 | Ages 42-51 | Male | 12507 |
| 2024-05 | Ages 52-61 | Male | 9680 |
| 2024-05 | Ages 62-99 | Male | 8644 |
| 2024-05 | Ages 00-02 | Unknown | * |
| 2024-05 | Ages 03-05 | Unknown | * |
| 2024-05 | Ages 06-09 | Unknown | * |
| 2024-05 | Ages 10-13 | Unknown | * |
| 2024-05 | Ages 14-17 | Unknown | * |
| 2024-05 | Ages 18-21 | Unknown | * |
| 2024-05 | Ages 22-31 | Unknown | * |
| 2024-05 | Ages 32-41 | Unknown | * |
| 2024-05 | Ages 42-51 | Unknown | * |
| 2024-05 | Ages 52-61 | Unknown | * |
| 2024-05 | Ages 62-99 | Unknown | * |
| 2024-04 | Ages 00-02 | Female | 23402 |
| 2024-04 | Ages 03-05 | Female | 17354 |
| 2024-04 | Ages 06-09 | Female | 14068 |
| 2024-04 | Ages 10-13 | Female | 11330 |
| 2024-04 | Ages 14-17 | Female | 10675 |
| 2024-04 | Ages 18-21 | Female | 10647 |
| 2024-04 | Ages 22-31 | Female | 21957 |
| 2024-04 | Ages 32-41 | Female | 16473 |
| 2024-04 | Ages 42-51 | Female | 9904 |
| 2024-04 | Ages 52-61 | Female | 8043 |
| 2024-04 | Ages 62-99 | Female | 7987 |
| 2024-04 | Ages 00-02 | Male | 42068 |
| 2024-04 | Ages 03-05 | Male | 43030 |
| 2024-04 | Ages 06-09 | Male | 40446 |
| 2024-04 | Ages 10-13 | Male | 30454 |
| 2024-04 | Ages 14-17 | Male | 26784 |
| 2024-04 | Ages 18-21 | Male | 25058 |
| 2024-04 | Ages 22-31 | Male | 44541 |
| 2024-04 | Ages 32-41 | Male | 24569 |
| 2024-04 | Ages 42-51 | Male | 12469 |
| 2024-04 | Ages 52-61 | Male | 9701 |
| 2024-04 | Ages 62-99 | Male | 8622 |
| 2024-04 | Ages 00-02 | Unknown | * |
| 2024-04 | Ages 03-05 | Unknown | * |
| 2024-04 | Ages 06-09 | Unknown | * |
| 2024-04 | Ages 10-13 | Unknown | * |
| 2024-04 | Ages 14-17 | Unknown | * |
| 2024-04 | Ages 18-21 | Unknown | * |
| 2024-04 | Ages 22-31 | Unknown | * |
| 2024-04 | Ages 32-41 | Unknown | * |
| 2024-04 | Ages 42-51 | Unknown | * |
| 2024-04 | Ages 52-61 | Unknown | * |
| 2024-04 | Ages 62-99 | Unknown | * |
| 2024-03 | Ages 00-02 | Female | 23238 |
| 2024-03 | Ages 03-05 | Female | 17061 |
| 2024-03 | Ages 06-09 | Female | 13876 |
| 2024-03 | Ages 10-13 | Female | 11220 |
| 2024-03 | Ages 14-17 | Female | 10579 |
| 2024-03 | Ages 18-21 | Female | 10578 |
| 2024-03 | Ages 22-31 | Female | 21991 |
| 2024-03 | Ages 32-41 | Female | 16405 |
| 2024-03 | Ages 42-51 | Female | 9895 |
| 2024-03 | Ages 52-61 | Female | 8073 |
| 2024-03 | Ages 62-99 | Female | 7997 |
| 2024-03 | Ages 00-02 | Male | 41477 |
| 2024-03 | Ages 03-05 | Male | 42442 |
| 2024-03 | Ages 06-09 | Male | 39966 |
| 2024-03 | Ages 10-13 | Male | 30176 |
| 2024-03 | Ages 14-17 | Male | 26555 |
| 2024-03 | Ages 18-21 | Male | 24972 |
| 2024-03 | Ages 22-31 | Male | 44469 |
| 2024-03 | Ages 32-41 | Male | 24494 |
| 2024-03 | Ages 42-51 | Male | 12438 |
| 2024-03 | Ages 52-61 | Male | 9754 |
| 2024-03 | Ages 62-99 | Male | 8656 |
| 2024-03 | Ages 00-02 | Unknown | * |
| 2024-03 | Ages 03-05 | Unknown | * |
| 2024-03 | Ages 06-09 | Unknown | * |
| 2024-03 | Ages 10-13 | Unknown | * |
| 2024-03 | Ages 14-17 | Unknown | * |
| 2024-03 | Ages 18-21 | Unknown | * |
| 2024-03 | Ages 22-31 | Unknown | * |
| 2024-03 | Ages 32-41 | Unknown | * |
| 2024-03 | Ages 42-51 | Unknown | * |
| 2024-03 | Ages 52-61 | Unknown | * |
| 2024-03 | Ages 62-99 | Unknown | * |
| 2024-02 | Ages 00-02 | Female | 23154 |
| 2024-02 | Ages 03-05 | Female | 17082 |
| 2024-02 | Ages 06-09 | Female | 13707 |
| 2024-02 | Ages 10-13 | Female | 11123 |
| 2024-02 | Ages 14-17 | Female | 10486 |
| 2024-02 | Ages 18-21 | Female | 10534 |
| 2024-02 | Ages 22-31 | Female | 21999 |
| 2024-02 | Ages 32-41 | Female | 16359 |
| 2024-02 | Ages 42-51 | Female | 9872 |
| 2024-02 | Ages 52-61 | Female | 8044 |
| 2024-02 | Ages 62-99 | Female | 7988 |
| 2024-02 | Ages 00-02 | Male | 41279 |
| 2024-02 | Ages 03-05 | Male | 42475 |
| 2024-02 | Ages 06-09 | Male | 39499 |
| 2024-02 | Ages 10-13 | Male | 30030 |
| 2024-02 | Ages 14-17 | Male | 26458 |
| 2024-02 | Ages 18-21 | Male | 24836 |
| 2024-02 | Ages 22-31 | Male | 44367 |
| 2024-02 | Ages 32-41 | Male | 24373 |
| 2024-02 | Ages 42-51 | Male | 12401 |
| 2024-02 | Ages 52-61 | Male | 9758 |
| 2024-02 | Ages 62-99 | Male | 8617 |
| 2024-02 | Ages 00-02 | Unknown | * |
| 2024-02 | Ages 03-05 | Unknown | * |
| 2024-02 | Ages 06-09 | Unknown | * |
| 2024-02 | Ages 10-13 | Unknown | * |
| 2024-02 | Ages 14-17 | Unknown | * |
| 2024-02 | Ages 18-21 | Unknown | * |
| 2024-02 | Ages 22-31 | Unknown | * |
| 2024-02 | Ages 32-41 | Unknown | * |
| 2024-02 | Ages 42-51 | Unknown | * |
| 2024-02 | Ages 52-61 | Unknown | * |
| 2024-02 | Ages 62-99 | Unknown | * |
| 2024-01 | Ages 00-02 | Female | 23365 |
| 2024-01 | Ages 03-05 | Female | 16715 |
| 2024-01 | Ages 06-09 | Female | 13571 |
| 2024-01 | Ages 10-13 | Female | 11065 |
| 2024-01 | Ages 14-17 | Female | 10439 |
| 2024-01 | Ages 18-21 | Female | 10489 |
| 2024-01 | Ages 22-31 | Female | 21969 |
| 2024-01 | Ages 32-41 | Female | 16318 |
| 2024-01 | Ages 42-51 | Female | 9833 |
| 2024-01 | Ages 52-61 | Female | 8063 |
| 2024-01 | Ages 62-99 | Female | 7971 |
| 2024-01 | Ages 00-02 | Male | 41509 |
| 2024-01 | Ages 03-05 | Male | 42078 |
| 2024-01 | Ages 06-09 | Male | 39090 |
| 2024-01 | Ages 10-13 | Male | 29860 |
| 2024-01 | Ages 14-17 | Male | 26343 |
| 2024-01 | Ages 18-21 | Male | 24772 |
| 2024-01 | Ages 22-31 | Male | 44214 |
| 2024-01 | Ages 32-41 | Male | 24243 |
| 2024-01 | Ages 42-51 | Male | 12326 |
| 2024-01 | Ages 52-61 | Male | 9765 |
| 2024-01 | Ages 62-99 | Male | 8631 |
| 2024-01 | Ages 00-02 | Unknown | * |
| 2024-01 | Ages 03-05 | Unknown | * |
| 2024-01 | Ages 06-09 | Unknown | * |
| 2024-01 | Ages 10-13 | Unknown | * |
| 2024-01 | Ages 14-17 | Unknown | * |
| 2024-01 | Ages 18-21 | Unknown | * |
| 2024-01 | Ages 22-31 | Unknown | * |
| 2024-01 | Ages 32-41 | Unknown | * |
| 2024-01 | Ages 42-51 | Unknown | * |
| 2024-01 | Ages 52-61 | Unknown | * |
| 2024-01 | Ages 62-99 | Unknown | * |
| 2023-12 | Ages 00-02 | Female | 23517 |
| 2023-12 | Ages 03-05 | Female | 16863 |
| 2023-12 | Ages 06-09 | Female | 13436 |
| 2023-12 | Ages 10-13 | Female | 10992 |
| 2023-12 | Ages 14-17 | Female | 10377 |
| 2023-12 | Ages 18-21 | Female | 10482 |
| 2023-12 | Ages 22-31 | Female | 21932 |
| 2023-12 | Ages 32-41 | Female | 16251 |
| 2023-12 | Ages 42-51 | Female | 9825 |
| 2023-12 | Ages 52-61 | Female | 8083 |
| 2023-12 | Ages 62-99 | Female | 7951 |
| 2023-12 | Ages 00-02 | Male | 41753 |
| 2023-12 | Ages 03-05 | Male | 41991 |
| 2023-12 | Ages 06-09 | Male | 38710 |
| 2023-12 | Ages 10-13 | Male | 29680 |
| 2023-12 | Ages 14-17 | Male | 26187 |
| 2023-12 | Ages 18-21 | Male | 24732 |
| 2023-12 | Ages 22-31 | Male | 44108 |
| 2023-12 | Ages 32-41 | Male | 24118 |
| 2023-12 | Ages 42-51 | Male | 12263 |
| 2023-12 | Ages 52-61 | Male | 9801 |
| 2023-12 | Ages 62-99 | Male | 8595 |
| 2023-12 | Ages 00-02 | Unknown | * |
| 2023-12 | Ages 03-05 | Unknown | * |
| 2023-12 | Ages 06-09 | Unknown | * |
| 2023-12 | Ages 10-13 | Unknown | * |
| 2023-12 | Ages 14-17 | Unknown | * |
| 2023-12 | Ages 18-21 | Unknown | * |
| 2023-12 | Ages 22-31 | Unknown | * |
| 2023-12 | Ages 32-41 | Unknown | * |
| 2023-12 | Ages 42-51 | Unknown | * |
| 2023-12 | Ages 52-61 | Unknown | * |
| 2023-12 | Ages 62-99 | Unknown | * |
| 2023-11 | Ages 00-02 | Female | 23815 |
| 2023-11 | Ages 03-05 | Female | 16520 |
| 2023-11 | Ages 06-09 | Female | 13278 |
| 2023-11 | Ages 10-13 | Female | 10925 |
| 2023-11 | Ages 14-17 | Female | 10327 |
| 2023-11 | Ages 18-21 | Female | 10425 |
| 2023-11 | Ages 22-31 | Female | 21934 |
| 2023-11 | Ages 32-41 | Female | 16189 |
| 2023-11 | Ages 42-51 | Female | 9801 |
| 2023-11 | Ages 52-61 | Female | 8092 |
| 2023-11 | Ages 62-99 | Female | 7918 |
| 2023-11 | Ages 00-02 | Male | 42022 |
| 2023-11 | Ages 03-05 | Male | 41359 |
| 2023-11 | Ages 06-09 | Male | 38235 |
| 2023-11 | Ages 10-13 | Male | 29506 |
| 2023-11 | Ages 14-17 | Male | 26102 |
| 2023-11 | Ages 18-21 | Male | 24635 |
| 2023-11 | Ages 22-31 | Male | 43971 |
| 2023-11 | Ages 32-41 | Male | 23983 |
| 2023-11 | Ages 42-51 | Male | 12234 |
| 2023-11 | Ages 52-61 | Male | 9813 |
| 2023-11 | Ages 62-99 | Male | 8542 |
| 2023-11 | Ages 00-02 | Unknown | * |
| 2023-11 | Ages 03-05 | Unknown | * |
| 2023-11 | Ages 06-09 | Unknown | * |
| 2023-11 | Ages 10-13 | Unknown | * |
| 2023-11 | Ages 14-17 | Unknown | * |
| 2023-11 | Ages 18-21 | Unknown | * |
| 2023-11 | Ages 22-31 | Unknown | * |
| 2023-11 | Ages 32-41 | Unknown | * |
| 2023-11 | Ages 42-51 | Unknown | * |
| 2023-11 | Ages 52-61 | Unknown | * |
| 2023-11 | Ages 62-99 | Unknown | * |
| 2023-10 | Ages 00-02 | Female | 24162 |
| 2023-10 | Ages 03-05 | Female | 16280 |
| 2023-10 | Ages 06-09 | Female | 13150 |
| 2023-10 | Ages 10-13 | Female | 10856 |
| 2023-10 | Ages 14-17 | Female | 10307 |
| 2023-10 | Ages 18-21 | Female | 10390 |
| 2023-10 | Ages 22-31 | Female | 21876 |
| 2023-10 | Ages 32-41 | Female | 16099 |
| 2023-10 | Ages 42-51 | Female | 9783 |
| 2023-10 | Ages 52-61 | Female | 8101 |
| 2023-10 | Ages 62-99 | Female | 7875 |
| 2023-10 | Ages 00-02 | Male | 42477 |
| 2023-10 | Ages 03-05 | Male | 40952 |
| 2023-10 | Ages 06-09 | Male | 37863 |
| 2023-10 | Ages 10-13 | Male | 29338 |
| 2023-10 | Ages 14-17 | Male | 26021 |
| 2023-10 | Ages 18-21 | Male | 24494 |
| 2023-10 | Ages 22-31 | Male | 43808 |
| 2023-10 | Ages 32-41 | Male | 23842 |
| 2023-10 | Ages 42-51 | Male | 12206 |
| 2023-10 | Ages 52-61 | Male | 9826 |
| 2023-10 | Ages 62-99 | Male | 8521 |
| 2023-10 | Ages 00-02 | Unknown | * |
| 2023-10 | Ages 03-05 | Unknown | * |
| 2023-10 | Ages 06-09 | Unknown | * |
| 2023-10 | Ages 10-13 | Unknown | * |
| 2023-10 | Ages 14-17 | Unknown | * |
| 2023-10 | Ages 18-21 | Unknown | * |
| 2023-10 | Ages 22-31 | Unknown | * |
| 2023-10 | Ages 32-41 | Unknown | * |
| 2023-10 | Ages 42-51 | Unknown | * |
| 2023-10 | Ages 52-61 | Unknown | * |
| 2023-10 | Ages 62-99 | Unknown | * |
| 2023-09 | Ages 00-02 | Female | 23857 |
| 2023-09 | Ages 03-05 | Female | 15929 |
| 2023-09 | Ages 06-09 | Female | 13001 |
| 2023-09 | Ages 10-13 | Female | 10781 |
| 2023-09 | Ages 14-17 | Female | 10231 |
| 2023-09 | Ages 18-21 | Female | 10338 |
| 2023-09 | Ages 22-31 | Female | 21862 |
| 2023-09 | Ages 32-41 | Female | 16040 |
| 2023-09 | Ages 42-51 | Female | 9748 |
| 2023-09 | Ages 52-61 | Female | 8130 |
| 2023-09 | Ages 62-99 | Female | 7816 |
| 2023-09 | Ages 00-02 | Male | 41895 |
| 2023-09 | Ages 03-05 | Male | 40258 |
| 2023-09 | Ages 06-09 | Male | 37434 |
| 2023-09 | Ages 10-13 | Male | 29098 |
| 2023-09 | Ages 14-17 | Male | 25916 |
| 2023-09 | Ages 18-21 | Male | 24433 |
| 2023-09 | Ages 22-31 | Male | 43624 |
| 2023-09 | Ages 32-41 | Male | 23665 |
| 2023-09 | Ages 42-51 | Male | 12162 |
| 2023-09 | Ages 52-61 | Male | 9839 |
| 2023-09 | Ages 62-99 | Male | 8501 |
| 2023-09 | Ages 00-02 | Unknown | * |
| 2023-09 | Ages 03-05 | Unknown | * |
| 2023-09 | Ages 06-09 | Unknown | * |
| 2023-09 | Ages 10-13 | Unknown | * |
| 2023-09 | Ages 14-17 | Unknown | * |
| 2023-09 | Ages 18-21 | Unknown | * |
| 2023-09 | Ages 22-31 | Unknown | * |
| 2023-09 | Ages 32-41 | Unknown | * |
| 2023-09 | Ages 42-51 | Unknown | * |
| 2023-09 | Ages 52-61 | Unknown | * |
| 2023-09 | Ages 62-99 | Unknown | * |
| 2023-08 | Ages 00-02 | Female | 23932 |
| 2023-08 | Ages 03-05 | Female | 15527 |
| 2023-08 | Ages 06-09 | Female | 12805 |
| 2023-08 | Ages 10-13 | Female | 10736 |
| 2023-08 | Ages 14-17 | Female | 10182 |
| 2023-08 | Ages 18-21 | Female | 10257 |
| 2023-08 | Ages 22-31 | Female | 21853 |
| 2023-08 | Ages 32-41 | Female | 15961 |
| 2023-08 | Ages 42-51 | Female | 9721 |
| 2023-08 | Ages 52-61 | Female | 8134 |
| 2023-08 | Ages 62-99 | Female | 7793 |
| 2023-08 | Ages 00-02 | Male | 42182 |
| 2023-08 | Ages 03-05 | Male | 39385 |
| 2023-08 | Ages 06-09 | Male | 36984 |
| 2023-08 | Ages 10-13 | Male | 28932 |
| 2023-08 | Ages 14-17 | Male | 25825 |
| 2023-08 | Ages 18-21 | Male | 24328 |
| 2023-08 | Ages 22-31 | Male | 43457 |
| 2023-08 | Ages 32-41 | Male | 23513 |
| 2023-08 | Ages 42-51 | Male | 12147 |
| 2023-08 | Ages 52-61 | Male | 9845 |
| 2023-08 | Ages 62-99 | Male | 8464 |
| 2023-08 | Ages 00-02 | Unknown | * |
| 2023-08 | Ages 03-05 | Unknown | * |
| 2023-08 | Ages 06-09 | Unknown | * |
| 2023-08 | Ages 10-13 | Unknown | * |
| 2023-08 | Ages 14-17 | Unknown | * |
| 2023-08 | Ages 18-21 | Unknown | * |
| 2023-08 | Ages 22-31 | Unknown | * |
| 2023-08 | Ages 32-41 | Unknown | * |
| 2023-08 | Ages 42-51 | Unknown | * |
| 2023-08 | Ages 52-61 | Unknown | * |
| 2023-08 | Ages 62-99 | Unknown | * |
| 2023-07 | Ages 00-02 | Female | 23755 |
| 2023-07 | Ages 03-05 | Female | 15276 |
| 2023-07 | Ages 06-09 | Female | 12671 |
| 2023-07 | Ages 10-13 | Female | 10645 |
| 2023-07 | Ages 14-17 | Female | 10148 |
| 2023-07 | Ages 18-21 | Female | 10198 |
| 2023-07 | Ages 22-31 | Female | 21852 |
| 2023-07 | Ages 32-41 | Female | 15931 |
| 2023-07 | Ages 42-51 | Female | 9701 |
| 2023-07 | Ages 52-61 | Female | 8144 |
| 2023-07 | Ages 62-99 | Female | 7761 |
| 2023-07 | Ages 00-02 | Male | 41647 |
| 2023-07 | Ages 03-05 | Male | 39039 |
| 2023-07 | Ages 06-09 | Male | 36619 |
| 2023-07 | Ages 10-13 | Male | 28748 |
| 2023-07 | Ages 14-17 | Male | 25658 |
| 2023-07 | Ages 18-21 | Male | 24267 |
| 2023-07 | Ages 22-31 | Male | 43296 |
| 2023-07 | Ages 32-41 | Male | 23360 |
| 2023-07 | Ages 42-51 | Male | 12128 |
| 2023-07 | Ages 52-61 | Male | 9870 |
| 2023-07 | Ages 62-99 | Male | 8411 |
| 2023-07 | Ages 00-02 | Unknown | * |
| 2023-07 | Ages 03-05 | Unknown | * |
| 2023-07 | Ages 06-09 | Unknown | * |
| 2023-07 | Ages 10-13 | Unknown | * |
| 2023-07 | Ages 14-17 | Unknown | * |
| 2023-07 | Ages 18-21 | Unknown | * |
| 2023-07 | Ages 22-31 | Unknown | * |
| 2023-07 | Ages 32-41 | Unknown | * |
| 2023-07 | Ages 42-51 | Unknown | * |
| 2023-07 | Ages 52-61 | Unknown | * |
| 2023-07 | Ages 62-99 | Unknown | * |
| 2023-06 | Ages 00-02 | Female | 23949 |
| 2023-06 | Ages 03-05 | Female | 15052 |
| 2023-06 | Ages 06-09 | Female | 12535 |
| 2023-06 | Ages 10-13 | Female | 10588 |
| 2023-06 | Ages 14-17 | Female | 10139 |
| 2023-06 | Ages 18-21 | Female | 10130 |
| 2023-06 | Ages 22-31 | Female | 21816 |
| 2023-06 | Ages 32-41 | Female | 15874 |
| 2023-06 | Ages 42-51 | Female | 9684 |
| 2023-06 | Ages 52-61 | Female | 8158 |
| 2023-06 | Ages 62-99 | Female | 7715 |
| 2023-06 | Ages 00-02 | Male | 41911 |
| 2023-06 | Ages 03-05 | Male | 38479 |
| 2023-06 | Ages 06-09 | Male | 36230 |
| 2023-06 | Ages 10-13 | Male | 28581 |
| 2023-06 | Ages 14-17 | Male | 25578 |
| 2023-06 | Ages 18-21 | Male | 24143 |
| 2023-06 | Ages 22-31 | Male | 43216 |
| 2023-06 | Ages 32-41 | Male | 23213 |
| 2023-06 | Ages 42-51 | Male | 12068 |
| 2023-06 | Ages 52-61 | Male | 9880 |
| 2023-06 | Ages 62-99 | Male | 8381 |
| 2023-06 | Ages 00-02 | Unknown | * |
| 2023-06 | Ages 03-05 | Unknown | * |
| 2023-06 | Ages 06-09 | Unknown | * |
| 2023-06 | Ages 10-13 | Unknown | * |
| 2023-06 | Ages 14-17 | Unknown | * |
| 2023-06 | Ages 18-21 | Unknown | * |
| 2023-06 | Ages 22-31 | Unknown | * |
| 2023-06 | Ages 32-41 | Unknown | * |
| 2023-06 | Ages 42-51 | Unknown | * |
| 2023-06 | Ages 52-61 | Unknown | * |
| 2023-06 | Ages 62-99 | Unknown | * |
| 2023-05 | Ages 00-02 | Female | 23560 |
| 2023-05 | Ages 03-05 | Female | 14683 |
| 2023-05 | Ages 06-09 | Female | 12346 |
| 2023-05 | Ages 10-13 | Female | 10480 |
| 2023-05 | Ages 14-17 | Female | 10042 |
| 2023-05 | Ages 18-21 | Female | 10087 |
| 2023-05 | Ages 22-31 | Female | 21786 |
| 2023-05 | Ages 32-41 | Female | 15790 |
| 2023-05 | Ages 42-51 | Female | 9693 |
| 2023-05 | Ages 52-61 | Female | 8153 |
| 2023-05 | Ages 62-99 | Female | 7679 |
| 2023-05 | Ages 00-02 | Male | 41428 |
| 2023-05 | Ages 03-05 | Male | 37728 |
| 2023-05 | Ages 06-09 | Male | 35761 |
| 2023-05 | Ages 10-13 | Male | 28352 |
| 2023-05 | Ages 14-17 | Male | 25438 |
| 2023-05 | Ages 18-21 | Male | 23982 |
| 2023-05 | Ages 22-31 | Male | 43026 |
| 2023-05 | Ages 32-41 | Male | 23083 |
| 2023-05 | Ages 42-51 | Male | 12032 |
| 2023-05 | Ages 52-61 | Male | 9870 |
| 2023-05 | Ages 62-99 | Male | 8346 |
| 2023-05 | Ages 00-02 | Unknown | * |
| 2023-05 | Ages 03-05 | Unknown | * |
| 2023-05 | Ages 06-09 | Unknown | * |
| 2023-05 | Ages 10-13 | Unknown | * |
| 2023-05 | Ages 14-17 | Unknown | * |
| 2023-05 | Ages 18-21 | Unknown | * |
| 2023-05 | Ages 22-31 | Unknown | * |
| 2023-05 | Ages 32-41 | Unknown | * |
| 2023-05 | Ages 42-51 | Unknown | * |
| 2023-05 | Ages 52-61 | Unknown | * |
| 2023-05 | Ages 62-99 | Unknown | * |
| 2023-04 | Ages 00-02 | Female | 22954 |
| 2023-04 | Ages 03-05 | Female | 14299 |
| 2023-04 | Ages 06-09 | Female | 12201 |
| 2023-04 | Ages 10-13 | Female | 10383 |
| 2023-04 | Ages 14-17 | Female | 9970 |
| 2023-04 | Ages 18-21 | Female | 10028 |
| 2023-04 | Ages 22-31 | Female | 21749 |
| 2023-04 | Ages 32-41 | Female | 15755 |
| 2023-04 | Ages 42-51 | Female | 9665 |
| 2023-04 | Ages 52-61 | Female | 8155 |
| 2023-04 | Ages 62-99 | Female | 7687 |
| 2023-04 | Ages 00-02 | Male | 40416 |
| 2023-04 | Ages 03-05 | Male | 37049 |
| 2023-04 | Ages 06-09 | Male | 35289 |
| 2023-04 | Ages 10-13 | Male | 28206 |
| 2023-04 | Ages 14-17 | Male | 25333 |
| 2023-04 | Ages 18-21 | Male | 23862 |
| 2023-04 | Ages 22-31 | Male | 42867 |
| 2023-04 | Ages 32-41 | Male | 22939 |
| 2023-04 | Ages 42-51 | Male | 11987 |
| 2023-04 | Ages 52-61 | Male | 9877 |
| 2023-04 | Ages 62-99 | Male | 8343 |
| 2023-04 | Ages 00-02 | Unknown | * |
| 2023-04 | Ages 03-05 | Unknown | * |
| 2023-04 | Ages 06-09 | Unknown | * |
| 2023-04 | Ages 10-13 | Unknown | * |
| 2023-04 | Ages 14-17 | Unknown | * |
| 2023-04 | Ages 18-21 | Unknown | * |
| 2023-04 | Ages 22-31 | Unknown | * |
| 2023-04 | Ages 32-41 | Unknown | * |
| 2023-04 | Ages 42-51 | Unknown | * |
| 2023-04 | Ages 52-61 | Unknown | * |
| 2023-04 | Ages 62-99 | Unknown | * |
| 2023-03 | Ages 00-02 | Female | 22452 |
| 2023-03 | Ages 03-05 | Female | 14345 |
| 2023-03 | Ages 06-09 | Female | 12087 |
| 2023-03 | Ages 10-13 | Female | 10341 |
| 2023-03 | Ages 14-17 | Female | 9915 |
| 2023-03 | Ages 18-21 | Female | 9962 |
| 2023-03 | Ages 22-31 | Female | 21734 |
| 2023-03 | Ages 32-41 | Female | 15713 |
| 2023-03 | Ages 42-51 | Female | 9656 |
| 2023-03 | Ages 52-61 | Female | 8172 |
| 2023-03 | Ages 62-99 | Female | 7645 |
| 2023-03 | Ages 00-02 | Male | 39523 |
| 2023-03 | Ages 03-05 | Male | 36953 |
| 2023-03 | Ages 06-09 | Male | 35005 |
| 2023-03 | Ages 10-13 | Male | 28116 |
| 2023-03 | Ages 14-17 | Male | 25220 |
| 2023-03 | Ages 18-21 | Male | 23754 |
| 2023-03 | Ages 22-31 | Male | 42707 |
| 2023-03 | Ages 32-41 | Male | 22848 |
| 2023-03 | Ages 42-51 | Male | 11938 |
| 2023-03 | Ages 52-61 | Male | 9867 |
| 2023-03 | Ages 62-99 | Male | 8309 |
| 2023-03 | Ages 00-02 | Unknown | * |
| 2023-03 | Ages 03-05 | Unknown | * |
| 2023-03 | Ages 06-09 | Unknown | * |
| 2023-03 | Ages 10-13 | Unknown | * |
| 2023-03 | Ages 14-17 | Unknown | * |
| 2023-03 | Ages 18-21 | Unknown | * |
| 2023-03 | Ages 22-31 | Unknown | * |
| 2023-03 | Ages 32-41 | Unknown | * |
| 2023-03 | Ages 42-51 | Unknown | * |
| 2023-03 | Ages 52-61 | Unknown | * |
| 2023-03 | Ages 62-99 | Unknown | * |
| 2023-02 | Ages 00-02 | Female | 22361 |
| 2023-02 | Ages 03-05 | Female | 14038 |
| 2023-02 | Ages 06-09 | Female | 11985 |
| 2023-02 | Ages 10-13 | Female | 10306 |
| 2023-02 | Ages 14-17 | Female | 9908 |
| 2023-02 | Ages 18-21 | Female | 9934 |
| 2023-02 | Ages 22-31 | Female | 21721 |
| 2023-02 | Ages 32-41 | Female | 15662 |
| 2023-02 | Ages 42-51 | Female | 9628 |
| 2023-02 | Ages 52-61 | Female | 8199 |
| 2023-02 | Ages 62-99 | Female | 7621 |
| 2023-02 | Ages 00-02 | Male | 38981 |
| 2023-02 | Ages 03-05 | Male | 36447 |
| 2023-02 | Ages 06-09 | Male | 34684 |
| 2023-02 | Ages 10-13 | Male | 28015 |
| 2023-02 | Ages 14-17 | Male | 25124 |
| 2023-02 | Ages 18-21 | Male | 23674 |
| 2023-02 | Ages 22-31 | Male | 42570 |
| 2023-02 | Ages 32-41 | Male | 22772 |
| 2023-02 | Ages 42-51 | Male | 11893 |
| 2023-02 | Ages 52-61 | Male | 9890 |
| 2023-02 | Ages 62-99 | Male | 8303 |
| 2023-02 | Ages 00-02 | Unknown | * |
| 2023-02 | Ages 03-05 | Unknown | * |
| 2023-02 | Ages 06-09 | Unknown | * |
| 2023-02 | Ages 10-13 | Unknown | * |
| 2023-02 | Ages 14-17 | Unknown | * |
| 2023-02 | Ages 18-21 | Unknown | * |
| 2023-02 | Ages 22-31 | Unknown | * |
| 2023-02 | Ages 32-41 | Unknown | * |
| 2023-02 | Ages 42-51 | Unknown | * |
| 2023-02 | Ages 52-61 | Unknown | * |
| 2023-02 | Ages 62-99 | Unknown | * |
| 2023-01 | Ages 00-02 | Female | 22185 |
| 2023-01 | Ages 03-05 | Female | 13697 |
| 2023-01 | Ages 06-09 | Female | 11886 |
| 2023-01 | Ages 10-13 | Female | 10270 |
| 2023-01 | Ages 14-17 | Female | 9870 |
| 2023-01 | Ages 18-21 | Female | 9945 |
| 2023-01 | Ages 22-31 | Female | 21649 |
| 2023-01 | Ages 32-41 | Female | 15618 |
| 2023-01 | Ages 42-51 | Female | 9606 |
| 2023-01 | Ages 52-61 | Female | 8221 |
| 2023-01 | Ages 62-99 | Female | 7598 |
| 2023-01 | Ages 00-02 | Male | 38798 |
| 2023-01 | Ages 03-05 | Male | 35871 |
| 2023-01 | Ages 06-09 | Male | 34386 |
| 2023-01 | Ages 10-13 | Male | 27886 |
| 2023-01 | Ages 14-17 | Male | 24982 |
| 2023-01 | Ages 18-21 | Male | 23628 |
| 2023-01 | Ages 22-31 | Male | 42453 |
| 2023-01 | Ages 32-41 | Male | 22635 |
| 2023-01 | Ages 42-51 | Male | 11857 |
| 2023-01 | Ages 52-61 | Male | 9903 |
| 2023-01 | Ages 62-99 | Male | 8266 |
| 2023-01 | Ages 00-02 | Unknown | * |
| 2023-01 | Ages 03-05 | Unknown | * |
| 2023-01 | Ages 06-09 | Unknown | * |
| 2023-01 | Ages 10-13 | Unknown | * |
| 2023-01 | Ages 14-17 | Unknown | * |
| 2023-01 | Ages 18-21 | Unknown | * |
| 2023-01 | Ages 22-31 | Unknown | * |
| 2023-01 | Ages 32-41 | Unknown | * |
| 2023-01 | Ages 42-51 | Unknown | * |
| 2023-01 | Ages 52-61 | Unknown | * |
| 2023-01 | Ages 62-99 | Unknown | * |
| 2022-12 | Ages 00-02 | Female | 22152 |
| 2022-12 | Ages 03-05 | Female | 13478 |
| 2022-12 | Ages 06-09 | Female | 11796 |
| 2022-12 | Ages 10-13 | Female | 10221 |
| 2022-12 | Ages 14-17 | Female | 9795 |
| 2022-12 | Ages 18-21 | Female | 9947 |
| 2022-12 | Ages 22-31 | Female | 21587 |
| 2022-12 | Ages 32-41 | Female | 15592 |
| 2022-12 | Ages 42-51 | Female | 9562 |
| 2022-12 | Ages 52-61 | Female | 8232 |
| 2022-12 | Ages 62-99 | Female | 7578 |
| 2022-12 | Ages 00-02 | Male | 38933 |
| 2022-12 | Ages 03-05 | Male | 35475 |
| 2022-12 | Ages 06-09 | Male | 34112 |
| 2022-12 | Ages 10-13 | Male | 27806 |
| 2022-12 | Ages 14-17 | Male | 24846 |
| 2022-12 | Ages 18-21 | Male | 23544 |
| 2022-12 | Ages 22-31 | Male | 42320 |
| 2022-12 | Ages 32-41 | Male | 22487 |
| 2022-12 | Ages 42-51 | Male | 11821 |
| 2022-12 | Ages 52-61 | Male | 9913 |
| 2022-12 | Ages 62-99 | Male | 8261 |
| 2022-12 | Ages 00-02 | Unknown | * |
| 2022-12 | Ages 03-05 | Unknown | * |
| 2022-12 | Ages 06-09 | Unknown | * |
| 2022-12 | Ages 10-13 | Unknown | * |
| 2022-12 | Ages 14-17 | Unknown | * |
| 2022-12 | Ages 18-21 | Unknown | * |
| 2022-12 | Ages 22-31 | Unknown | * |
| 2022-12 | Ages 32-41 | Unknown | * |
| 2022-12 | Ages 42-51 | Unknown | * |
| 2022-12 | Ages 52-61 | Unknown | * |
| 2022-12 | Ages 62-99 | Unknown | * |
| 2022-11 | Ages 00-02 | Female | 22200 |
| 2022-11 | Ages 03-05 | Female | 13110 |
| 2022-11 | Ages 06-09 | Female | 11723 |
| 2022-11 | Ages 10-13 | Female | 10160 |
| 2022-11 | Ages 14-17 | Female | 9780 |
| 2022-11 | Ages 18-21 | Female | 9932 |
| 2022-11 | Ages 22-31 | Female | 21594 |
| 2022-11 | Ages 32-41 | Female | 15515 |
| 2022-11 | Ages 42-51 | Female | 9539 |
| 2022-11 | Ages 52-61 | Female | 8254 |
| 2022-11 | Ages 62-99 | Female | 7528 |
| 2022-11 | Ages 00-02 | Male | 39196 |
| 2022-11 | Ages 03-05 | Male | 34710 |
| 2022-11 | Ages 06-09 | Male | 33745 |
| 2022-11 | Ages 10-13 | Male | 27640 |
| 2022-11 | Ages 14-17 | Male | 24760 |
| 2022-11 | Ages 18-21 | Male | 23523 |
| 2022-11 | Ages 22-31 | Male | 42116 |
| 2022-11 | Ages 32-41 | Male | 22388 |
| 2022-11 | Ages 42-51 | Male | 11794 |
| 2022-11 | Ages 52-61 | Male | 9913 |
| 2022-11 | Ages 62-99 | Male | 8219 |
| 2022-11 | Ages 00-02 | Unknown | * |
| 2022-11 | Ages 03-05 | Unknown | * |
| 2022-11 | Ages 06-09 | Unknown | * |
| 2022-11 | Ages 10-13 | Unknown | * |
| 2022-11 | Ages 14-17 | Unknown | * |
| 2022-11 | Ages 18-21 | Unknown | * |
| 2022-11 | Ages 22-31 | Unknown | * |
| 2022-11 | Ages 32-41 | Unknown | * |
| 2022-11 | Ages 42-51 | Unknown | * |
| 2022-11 | Ages 52-61 | Unknown | * |
| 2022-11 | Ages 62-99 | Unknown | * |
| 2022-10 | Ages 00-02 | Female | 21566 |
| 2022-10 | Ages 03-05 | Female | 12779 |
| 2022-10 | Ages 06-09 | Female | 11558 |
| 2022-10 | Ages 10-13 | Female | 10053 |
| 2022-10 | Ages 14-17 | Female | 9742 |
| 2022-10 | Ages 18-21 | Female | 9862 |
| 2022-10 | Ages 22-31 | Female | 21571 |
| 2022-10 | Ages 32-41 | Female | 15443 |
| 2022-10 | Ages 42-51 | Female | 9533 |
| 2022-10 | Ages 52-61 | Female | 8263 |
| 2022-10 | Ages 62-99 | Female | 7484 |
| 2022-10 | Ages 00-02 | Male | 38095 |
| 2022-10 | Ages 03-05 | Male | 33838 |
| 2022-10 | Ages 06-09 | Male | 33316 |
| 2022-10 | Ages 10-13 | Male | 27493 |
| 2022-10 | Ages 14-17 | Male | 24554 |
| 2022-10 | Ages 18-21 | Male | 23446 |
| 2022-10 | Ages 22-31 | Male | 41935 |
| 2022-10 | Ages 32-41 | Male | 22270 |
| 2022-10 | Ages 42-51 | Male | 11764 |
| 2022-10 | Ages 52-61 | Male | 9920 |
| 2022-10 | Ages 62-99 | Male | 8189 |
| 2022-10 | Ages 00-02 | Unknown | * |
| 2022-10 | Ages 03-05 | Unknown | * |
| 2022-10 | Ages 06-09 | Unknown | * |
| 2022-10 | Ages 10-13 | Unknown | * |
| 2022-10 | Ages 14-17 | Unknown | * |
| 2022-10 | Ages 18-21 | Unknown | * |
| 2022-10 | Ages 22-31 | Unknown | * |
| 2022-10 | Ages 32-41 | Unknown | * |
| 2022-10 | Ages 42-51 | Unknown | * |
| 2022-10 | Ages 52-61 | Unknown | * |
| 2022-10 | Ages 62-99 | Unknown | * |
| 2022-09 | Ages 00-02 | Female | 21361 |
| 2022-09 | Ages 03-05 | Female | 12428 |
| 2022-09 | Ages 06-09 | Female | 11395 |
| 2022-09 | Ages 10-13 | Female | 10018 |
| 2022-09 | Ages 14-17 | Female | 9717 |
| 2022-09 | Ages 18-21 | Female | 9809 |
| 2022-09 | Ages 22-31 | Female | 21512 |
| 2022-09 | Ages 32-41 | Female | 15413 |
| 2022-09 | Ages 42-51 | Female | 9509 |
| 2022-09 | Ages 52-61 | Female | 8269 |
| 2022-09 | Ages 62-99 | Female | 7446 |
| 2022-09 | Ages 00-02 | Male | 38048 |
| 2022-09 | Ages 03-05 | Male | 33015 |
| 2022-09 | Ages 06-09 | Male | 32922 |
| 2022-09 | Ages 10-13 | Male | 27342 |
| 2022-09 | Ages 14-17 | Male | 24517 |
| 2022-09 | Ages 18-21 | Male | 23344 |
| 2022-09 | Ages 22-31 | Male | 41796 |
| 2022-09 | Ages 32-41 | Male | 22140 |
| 2022-09 | Ages 42-51 | Male | 11721 |
| 2022-09 | Ages 52-61 | Male | 9929 |
| 2022-09 | Ages 62-99 | Male | 8140 |
| 2022-09 | Ages 00-02 | Unknown | * |
| 2022-09 | Ages 03-05 | Unknown | * |
| 2022-09 | Ages 06-09 | Unknown | * |
| 2022-09 | Ages 10-13 | Unknown | * |
| 2022-09 | Ages 14-17 | Unknown | * |
| 2022-09 | Ages 18-21 | Unknown | * |
| 2022-09 | Ages 22-31 | Unknown | * |
| 2022-09 | Ages 32-41 | Unknown | * |
| 2022-09 | Ages 42-51 | Unknown | * |
| 2022-09 | Ages 52-61 | Unknown | * |
| 2022-09 | Ages 62-99 | Unknown | * |
| 2022-08 | Ages 00-02 | Female | 21251 |
| 2022-08 | Ages 03-05 | Female | 12178 |
| 2022-08 | Ages 06-09 | Female | 11281 |
| 2022-08 | Ages 10-13 | Female | 9927 |
| 2022-08 | Ages 14-17 | Female | 9683 |
| 2022-08 | Ages 18-21 | Female | 9756 |
| 2022-08 | Ages 22-31 | Female | 21479 |
| 2022-08 | Ages 32-41 | Female | 15345 |
| 2022-08 | Ages 42-51 | Female | 9490 |
| 2022-08 | Ages 52-61 | Female | 8283 |
| 2022-08 | Ages 62-99 | Female | 7426 |
| 2022-08 | Ages 00-02 | Male | 37919 |
| 2022-08 | Ages 03-05 | Male | 32386 |
| 2022-08 | Ages 06-09 | Male | 32673 |
| 2022-08 | Ages 10-13 | Male | 27056 |
| 2022-08 | Ages 14-17 | Male | 24471 |
| 2022-08 | Ages 18-21 | Male | 23226 |
| 2022-08 | Ages 22-31 | Male | 41638 |
| 2022-08 | Ages 32-41 | Male | 21971 |
| 2022-08 | Ages 42-51 | Male | 11704 |
| 2022-08 | Ages 52-61 | Male | 9902 |
| 2022-08 | Ages 62-99 | Male | 8118 |
| 2022-08 | Ages 00-02 | Unknown | * |
| 2022-08 | Ages 03-05 | Unknown | * |
| 2022-08 | Ages 06-09 | Unknown | * |
| 2022-08 | Ages 10-13 | Unknown | * |
| 2022-08 | Ages 14-17 | Unknown | * |
| 2022-08 | Ages 18-21 | Unknown | * |
| 2022-08 | Ages 22-31 | Unknown | * |
| 2022-08 | Ages 32-41 | Unknown | * |
| 2022-08 | Ages 42-51 | Unknown | * |
| 2022-08 | Ages 52-61 | Unknown | * |
| 2022-08 | Ages 62-99 | Unknown | * |
| 2022-07 | Ages 00-02 | Female | 20983 |
| 2022-07 | Ages 03-05 | Female | 11913 |
| 2022-07 | Ages 06-09 | Female | 11258 |
| 2022-07 | Ages 10-13 | Female | 9858 |
| 2022-07 | Ages 14-17 | Female | 9609 |
| 2022-07 | Ages 18-21 | Female | 9759 |
| 2022-07 | Ages 22-31 | Female | 21408 |
| 2022-07 | Ages 32-41 | Female | 15327 |
| 2022-07 | Ages 42-51 | Female | 9451 |
| 2022-07 | Ages 52-61 | Female | 8314 |
| 2022-07 | Ages 62-99 | Female | 7404 |
| 2022-07 | Ages 00-02 | Male | 37444 |
| 2022-07 | Ages 03-05 | Male | 31731 |
| 2022-07 | Ages 06-09 | Male | 32512 |
| 2022-07 | Ages 10-13 | Male | 27004 |
| 2022-07 | Ages 14-17 | Male | 24392 |
| 2022-07 | Ages 18-21 | Male | 23096 |
| 2022-07 | Ages 22-31 | Male | 41505 |
| 2022-07 | Ages 32-41 | Male | 21864 |
| 2022-07 | Ages 42-51 | Male | 11651 |
| 2022-07 | Ages 52-61 | Male | 9924 |
| 2022-07 | Ages 62-99 | Male | 8082 |
| 2022-07 | Ages 00-02 | Unknown | * |
| 2022-07 | Ages 03-05 | Unknown | * |
| 2022-07 | Ages 06-09 | Unknown | * |
| 2022-07 | Ages 10-13 | Unknown | * |
| 2022-07 | Ages 14-17 | Unknown | * |
| 2022-07 | Ages 18-21 | Unknown | * |
| 2022-07 | Ages 22-31 | Unknown | * |
| 2022-07 | Ages 32-41 | Unknown | * |
| 2022-07 | Ages 42-51 | Unknown | * |
| 2022-07 | Ages 52-61 | Unknown | * |
| 2022-07 | Ages 62-99 | Unknown | * |
| 2022-06 | Ages 00-02 | Female | 20940 |
| 2022-06 | Ages 03-05 | Female | 11616 |
| 2022-06 | Ages 06-09 | Female | 11174 |
| 2022-06 | Ages 10-13 | Female | 9838 |
| 2022-06 | Ages 14-17 | Female | 9582 |
| 2022-06 | Ages 18-21 | Female | 9715 |
| 2022-06 | Ages 22-31 | Female | 21419 |
| 2022-06 | Ages 32-41 | Female | 15277 |
| 2022-06 | Ages 42-51 | Female | 9421 |
| 2022-06 | Ages 52-61 | Female | 8305 |
| 2022-06 | Ages 62-99 | Female | 7373 |
| 2022-06 | Ages 00-02 | Male | 37429 |
| 2022-06 | Ages 03-05 | Male | 31133 |
| 2022-06 | Ages 06-09 | Male | 32253 |
| 2022-06 | Ages 10-13 | Male | 26917 |
| 2022-06 | Ages 14-17 | Male | 24279 |
| 2022-06 | Ages 18-21 | Male | 23024 |
| 2022-06 | Ages 22-31 | Male | 41333 |
| 2022-06 | Ages 32-41 | Male | 21753 |
| 2022-06 | Ages 42-51 | Male | 11614 |
| 2022-06 | Ages 52-61 | Male | 9923 |
| 2022-06 | Ages 62-99 | Male | 8046 |
| 2022-06 | Ages 00-02 | Unknown | * |
| 2022-06 | Ages 03-05 | Unknown | * |
| 2022-06 | Ages 06-09 | Unknown | * |
| 2022-06 | Ages 10-13 | Unknown | * |
| 2022-06 | Ages 14-17 | Unknown | * |
| 2022-06 | Ages 18-21 | Unknown | * |
| 2022-06 | Ages 22-31 | Unknown | * |
| 2022-06 | Ages 32-41 | Unknown | * |
| 2022-06 | Ages 42-51 | Unknown | * |
| 2022-06 | Ages 52-61 | Unknown | * |
| 2022-06 | Ages 62-99 | Unknown | * |
| 2022-05 | Ages 00-02 | Female | 20647 |
| 2022-05 | Ages 03-05 | Female | 11262 |
| 2022-05 | Ages 06-09 | Female | 11105 |
| 2022-05 | Ages 10-13 | Female | 9750 |
| 2022-05 | Ages 14-17 | Female | 9525 |
| 2022-05 | Ages 18-21 | Female | 9680 |
| 2022-05 | Ages 22-31 | Female | 21415 |
| 2022-05 | Ages 32-41 | Female | 15237 |
| 2022-05 | Ages 42-51 | Female | 9393 |
| 2022-05 | Ages 52-61 | Female | 8304 |
| 2022-05 | Ages 62-99 | Female | 7338 |
| 2022-05 | Ages 00-02 | Male | 37279 |
| 2022-05 | Ages 03-05 | Male | 30445 |
| 2022-05 | Ages 06-09 | Male | 31986 |
| 2022-05 | Ages 10-13 | Male | 26789 |
| 2022-05 | Ages 14-17 | Male | 24140 |
| 2022-05 | Ages 18-21 | Male | 22946 |
| 2022-05 | Ages 22-31 | Male | 41177 |
| 2022-05 | Ages 32-41 | Male | 21623 |
| 2022-05 | Ages 42-51 | Male | 11584 |
| 2022-05 | Ages 52-61 | Male | 9945 |
| 2022-05 | Ages 62-99 | Male | 8030 |
| 2022-05 | Ages 00-02 | Unknown | * |
| 2022-05 | Ages 03-05 | Unknown | * |
| 2022-05 | Ages 06-09 | Unknown | * |
| 2022-05 | Ages 10-13 | Unknown | * |
| 2022-05 | Ages 14-17 | Unknown | * |
| 2022-05 | Ages 18-21 | Unknown | * |
| 2022-05 | Ages 22-31 | Unknown | * |
| 2022-05 | Ages 32-41 | Unknown | * |
| 2022-05 | Ages 42-51 | Unknown | * |
| 2022-05 | Ages 52-61 | Unknown | * |
| 2022-05 | Ages 62-99 | Unknown | * |
| 2022-04 | Ages 00-02 | Female | 20109 |
| 2022-04 | Ages 03-05 | Female | 11169 |
| 2022-04 | Ages 06-09 | Female | 10949 |
| 2022-04 | Ages 10-13 | Female | 9669 |
| 2022-04 | Ages 14-17 | Female | 9492 |
| 2022-04 | Ages 18-21 | Female | 9633 |
| 2022-04 | Ages 22-31 | Female | 21365 |
| 2022-04 | Ages 32-41 | Female | 15226 |
| 2022-04 | Ages 42-51 | Female | 9350 |
| 2022-04 | Ages 52-61 | Female | 8341 |
| 2022-04 | Ages 62-99 | Female | 7314 |
| 2022-04 | Ages 00-02 | Male | 36139 |
| 2022-04 | Ages 03-05 | Male | 29992 |
| 2022-04 | Ages 06-09 | Male | 31579 |
| 2022-04 | Ages 10-13 | Male | 26589 |
| 2022-04 | Ages 14-17 | Male | 24067 |
| 2022-04 | Ages 18-21 | Male | 22810 |
| 2022-04 | Ages 22-31 | Male | 41088 |
| 2022-04 | Ages 32-41 | Male | 21495 |
| 2022-04 | Ages 42-51 | Male | 11582 |
| 2022-04 | Ages 52-61 | Male | 9957 |
| 2022-04 | Ages 62-99 | Male | 7997 |
| 2022-04 | Ages 00-02 | Unknown | * |
| 2022-04 | Ages 03-05 | Unknown | * |
| 2022-04 | Ages 06-09 | Unknown | * |
| 2022-04 | Ages 10-13 | Unknown | * |
| 2022-04 | Ages 14-17 | Unknown | * |
| 2022-04 | Ages 18-21 | Unknown | * |
| 2022-04 | Ages 22-31 | Unknown | * |
| 2022-04 | Ages 32-41 | Unknown | * |
| 2022-04 | Ages 42-51 | Unknown | * |
| 2022-04 | Ages 52-61 | Unknown | * |
| 2022-04 | Ages 62-99 | Unknown | * |
| 2022-03 | Ages 00-02 | Female | 19848 |
| 2022-03 | Ages 03-05 | Female | 10925 |
| 2022-03 | Ages 06-09 | Female | 10845 |
| 2022-03 | Ages 10-13 | Female | 9650 |
| 2022-03 | Ages 14-17 | Female | 9435 |
| 2022-03 | Ages 18-21 | Female | 9603 |
| 2022-03 | Ages 22-31 | Female | 21311 |
| 2022-03 | Ages 32-41 | Female | 15171 |
| 2022-03 | Ages 42-51 | Female | 9354 |
| 2022-03 | Ages 52-61 | Female | 8331 |
| 2022-03 | Ages 62-99 | Female | 7278 |
| 2022-03 | Ages 00-02 | Male | 35454 |
| 2022-03 | Ages 03-05 | Male | 29377 |
| 2022-03 | Ages 06-09 | Male | 31336 |
| 2022-03 | Ages 10-13 | Male | 26495 |
| 2022-03 | Ages 14-17 | Male | 23916 |
| 2022-03 | Ages 18-21 | Male | 22740 |
| 2022-03 | Ages 22-31 | Male | 40950 |
| 2022-03 | Ages 32-41 | Male | 21351 |
| 2022-03 | Ages 42-51 | Male | 11561 |
| 2022-03 | Ages 52-61 | Male | 9948 |
| 2022-03 | Ages 62-99 | Male | 7959 |
| 2022-03 | Ages 00-02 | Unknown | * |
| 2022-03 | Ages 03-05 | Unknown | * |
| 2022-03 | Ages 06-09 | Unknown | * |
| 2022-03 | Ages 10-13 | Unknown | * |
| 2022-03 | Ages 14-17 | Unknown | * |
| 2022-03 | Ages 18-21 | Unknown | * |
| 2022-03 | Ages 22-31 | Unknown | * |
| 2022-03 | Ages 32-41 | Unknown | * |
| 2022-03 | Ages 42-51 | Unknown | * |
| 2022-03 | Ages 52-61 | Unknown | * |
| 2022-03 | Ages 62-99 | Unknown | * |
| 2022-02 | Ages 00-02 | Female | 19643 |
| 2022-02 | Ages 03-05 | Female | 10860 |
| 2022-02 | Ages 06-09 | Female | 10750 |
| 2022-02 | Ages 10-13 | Female | 9620 |
| 2022-02 | Ages 14-17 | Female | 9331 |
| 2022-02 | Ages 18-21 | Female | 9585 |
| 2022-02 | Ages 22-31 | Female | 21274 |
| 2022-02 | Ages 32-41 | Female | 15133 |
| 2022-02 | Ages 42-51 | Female | 9343 |
| 2022-02 | Ages 52-61 | Female | 8357 |
| 2022-02 | Ages 62-99 | Female | 7255 |
| 2022-02 | Ages 00-02 | Male | 34949 |
| 2022-02 | Ages 03-05 | Male | 29070 |
| 2022-02 | Ages 06-09 | Male | 31184 |
| 2022-02 | Ages 10-13 | Male | 26377 |
| 2022-02 | Ages 14-17 | Male | 23836 |
| 2022-02 | Ages 18-21 | Male | 22669 |
| 2022-02 | Ages 22-31 | Male | 40855 |
| 2022-02 | Ages 32-41 | Male | 21228 |
| 2022-02 | Ages 42-51 | Male | 11547 |
| 2022-02 | Ages 52-61 | Male | 9963 |
| 2022-02 | Ages 62-99 | Male | 7930 |
| 2022-02 | Ages 00-02 | Unknown | * |
| 2022-02 | Ages 03-05 | Unknown | * |
| 2022-02 | Ages 06-09 | Unknown | * |
| 2022-02 | Ages 10-13 | Unknown | * |
| 2022-02 | Ages 14-17 | Unknown | * |
| 2022-02 | Ages 18-21 | Unknown | * |
| 2022-02 | Ages 22-31 | Unknown | * |
| 2022-02 | Ages 32-41 | Unknown | * |
| 2022-02 | Ages 42-51 | Unknown | * |
| 2022-02 | Ages 52-61 | Unknown | * |
| 2022-02 | Ages 62-99 | Unknown | * |
| 2022-01 | Ages 00-02 | Female | 19564 |
| 2022-01 | Ages 03-05 | Female | 10618 |
| 2022-01 | Ages 06-09 | Female | 10703 |
| 2022-01 | Ages 10-13 | Female | 9567 |
| 2022-01 | Ages 14-17 | Female | 9266 |
| 2022-01 | Ages 18-21 | Female | 9651 |
| 2022-01 | Ages 22-31 | Female | 21248 |
| 2022-01 | Ages 32-41 | Female | 15053 |
| 2022-01 | Ages 42-51 | Female | 9368 |
| 2022-01 | Ages 52-61 | Female | 8354 |
| 2022-01 | Ages 62-99 | Female | 7237 |
| 2022-01 | Ages 00-02 | Male | 34871 |
| 2022-01 | Ages 03-05 | Male | 28488 |
| 2022-01 | Ages 06-09 | Male | 31000 |
| 2022-01 | Ages 10-13 | Male | 26295 |
| 2022-01 | Ages 14-17 | Male | 23721 |
| 2022-01 | Ages 18-21 | Male | 22631 |
| 2022-01 | Ages 22-31 | Male | 40715 |
| 2022-01 | Ages 32-41 | Male | 21120 |
| 2022-01 | Ages 42-51 | Male | 11530 |
| 2022-01 | Ages 52-61 | Male | 9982 |
| 2022-01 | Ages 62-99 | Male | 7913 |
| 2022-01 | Ages 00-02 | Unknown | * |
| 2022-01 | Ages 03-05 | Unknown | * |
| 2022-01 | Ages 06-09 | Unknown | * |
| 2022-01 | Ages 10-13 | Unknown | * |
| 2022-01 | Ages 14-17 | Unknown | * |
| 2022-01 | Ages 18-21 | Unknown | * |
| 2022-01 | Ages 22-31 | Unknown | * |
| 2022-01 | Ages 32-41 | Unknown | * |
| 2022-01 | Ages 42-51 | Unknown | * |
| 2022-01 | Ages 52-61 | Unknown | * |
| 2022-01 | Ages 62-99 | Unknown | * |
| 2021-12 | Ages 00-02 | Female | 19762 |
| 2021-12 | Ages 03-05 | Female | 10426 |
| 2021-12 | Ages 06-09 | Female | 10663 |
| 2021-12 | Ages 10-13 | Female | 9532 |
| 2021-12 | Ages 14-17 | Female | 9262 |
| 2021-12 | Ages 18-21 | Female | 9645 |
| 2021-12 | Ages 22-31 | Female | 21243 |
| 2021-12 | Ages 32-41 | Female | 15001 |
| 2021-12 | Ages 42-51 | Female | 9329 |
| 2021-12 | Ages 52-61 | Female | 8369 |
| 2021-12 | Ages 62-99 | Female | 7202 |
| 2021-12 | Ages 00-02 | Male | 35184 |
| 2021-12 | Ages 03-05 | Male | 28116 |
| 2021-12 | Ages 06-09 | Male | 30724 |
| 2021-12 | Ages 10-13 | Male | 26284 |
| 2021-12 | Ages 14-17 | Male | 23694 |
| 2021-12 | Ages 18-21 | Male | 22538 |
| 2021-12 | Ages 22-31 | Male | 40598 |
| 2021-12 | Ages 32-41 | Male | 21011 |
| 2021-12 | Ages 42-51 | Male | 11513 |
| 2021-12 | Ages 52-61 | Male | 9973 |
| 2021-12 | Ages 62-99 | Male | 7882 |
| 2021-12 | Ages 00-02 | Unknown | * |
| 2021-12 | Ages 03-05 | Unknown | * |
| 2021-12 | Ages 06-09 | Unknown | * |
| 2021-12 | Ages 10-13 | Unknown | * |
| 2021-12 | Ages 14-17 | Unknown | * |
| 2021-12 | Ages 18-21 | Unknown | * |
| 2021-12 | Ages 22-31 | Unknown | * |
| 2021-12 | Ages 32-41 | Unknown | * |
| 2021-12 | Ages 42-51 | Unknown | * |
| 2021-12 | Ages 52-61 | Unknown | * |
| 2021-12 | Ages 62-99 | Unknown | * |
| 2021-11 | Ages 00-02 | Female | 19711 |
| 2021-11 | Ages 03-05 | Female | 10211 |
| 2021-11 | Ages 06-09 | Female | 10597 |
| 2021-11 | Ages 10-13 | Female | 9519 |
| 2021-11 | Ages 14-17 | Female | 9239 |
| 2021-11 | Ages 18-21 | Female | 9647 |
| 2021-11 | Ages 22-31 | Female | 21187 |
| 2021-11 | Ages 32-41 | Female | 14963 |
| 2021-11 | Ages 42-51 | Female | 9333 |
| 2021-11 | Ages 52-61 | Female | 8372 |
| 2021-11 | Ages 62-99 | Female | 7177 |
| 2021-11 | Ages 00-02 | Male | 35249 |
| 2021-11 | Ages 03-05 | Male | 27576 |
| 2021-11 | Ages 06-09 | Male | 30548 |
| 2021-11 | Ages 10-13 | Male | 26231 |
| 2021-11 | Ages 14-17 | Male | 23607 |
| 2021-11 | Ages 18-21 | Male | 22457 |
| 2021-11 | Ages 22-31 | Male | 40525 |
| 2021-11 | Ages 32-41 | Male | 20917 |
| 2021-11 | Ages 42-51 | Male | 11454 |
| 2021-11 | Ages 52-61 | Male | 10022 |
| 2021-11 | Ages 62-99 | Male | 7834 |
| 2021-11 | Ages 00-02 | Unknown | * |
| 2021-11 | Ages 03-05 | Unknown | * |
| 2021-11 | Ages 06-09 | Unknown | * |
| 2021-11 | Ages 10-13 | Unknown | * |
| 2021-11 | Ages 14-17 | Unknown | * |
| 2021-11 | Ages 18-21 | Unknown | * |
| 2021-11 | Ages 22-31 | Unknown | * |
| 2021-11 | Ages 32-41 | Unknown | * |
| 2021-11 | Ages 42-51 | Unknown | * |
| 2021-11 | Ages 52-61 | Unknown | * |
| 2021-11 | Ages 62-99 | Unknown | * |
| 2021-10 | Ages 00-02 | Female | 19421 |
| 2021-10 | Ages 03-05 | Female | 10178 |
| 2021-10 | Ages 06-09 | Female | 10563 |
| 2021-10 | Ages 10-13 | Female | 9466 |
| 2021-10 | Ages 14-17 | Female | 9218 |
| 2021-10 | Ages 18-21 | Female | 9623 |
| 2021-10 | Ages 22-31 | Female | 21189 |
| 2021-10 | Ages 32-41 | Female | 14906 |
| 2021-10 | Ages 42-51 | Female | 9315 |
| 2021-10 | Ages 52-61 | Female | 8403 |
| 2021-10 | Ages 62-99 | Female | 7139 |
| 2021-10 | Ages 00-02 | Male | 34346 |
| 2021-10 | Ages 03-05 | Male | 27445 |
| 2021-10 | Ages 06-09 | Male | 30354 |
| 2021-10 | Ages 10-13 | Male | 26211 |
| 2021-10 | Ages 14-17 | Male | 23462 |
| 2021-10 | Ages 18-21 | Male | 22368 |
| 2021-10 | Ages 22-31 | Male | 40381 |
| 2021-10 | Ages 32-41 | Male | 20826 |
| 2021-10 | Ages 42-51 | Male | 11403 |
| 2021-10 | Ages 52-61 | Male | 10042 |
| 2021-10 | Ages 62-99 | Male | 7796 |
| 2021-10 | Ages 00-02 | Unknown | * |
| 2021-10 | Ages 03-05 | Unknown | * |
| 2021-10 | Ages 06-09 | Unknown | * |
| 2021-10 | Ages 10-13 | Unknown | * |
| 2021-10 | Ages 14-17 | Unknown | * |
| 2021-10 | Ages 18-21 | Unknown | * |
| 2021-10 | Ages 22-31 | Unknown | * |
| 2021-10 | Ages 32-41 | Unknown | * |
| 2021-10 | Ages 42-51 | Unknown | * |
| 2021-10 | Ages 52-61 | Unknown | * |
| 2021-10 | Ages 62-99 | Unknown | * |
| 2021-09 | Ages 00-02 | Female | 19323 |
| 2021-09 | Ages 03-05 | Female | 9967 |
| 2021-09 | Ages 06-09 | Female | 10527 |
| 2021-09 | Ages 10-13 | Female | 9426 |
| 2021-09 | Ages 14-17 | Female | 9183 |
| 2021-09 | Ages 18-21 | Female | 9614 |
| 2021-09 | Ages 22-31 | Female | 21181 |
| 2021-09 | Ages 32-41 | Female | 14832 |
| 2021-09 | Ages 42-51 | Female | 9303 |
| 2021-09 | Ages 52-61 | Female | 8421 |
| 2021-09 | Ages 62-99 | Female | 7090 |
| 2021-09 | Ages 00-02 | Male | 34042 |
| 2021-09 | Ages 03-05 | Male | 26946 |
| 2021-09 | Ages 06-09 | Male | 30077 |
| 2021-09 | Ages 10-13 | Male | 26206 |
| 2021-09 | Ages 14-17 | Male | 23393 |
| 2021-09 | Ages 18-21 | Male | 22270 |
| 2021-09 | Ages 22-31 | Male | 40272 |
| 2021-09 | Ages 32-41 | Male | 20688 |
| 2021-09 | Ages 42-51 | Male | 11390 |
| 2021-09 | Ages 52-61 | Male | 10050 |
| 2021-09 | Ages 62-99 | Male | 7757 |
| 2021-08 | Ages 00-02 | Female | 19093 |
| 2021-08 | Ages 03-05 | Female | 9770 |
| 2021-08 | Ages 06-09 | Female | 10449 |
| 2021-08 | Ages 10-13 | Female | 9407 |
| 2021-08 | Ages 14-17 | Female | 9176 |
| 2021-08 | Ages 18-21 | Female | 9571 |
| 2021-08 | Ages 22-31 | Female | 21156 |
| 2021-08 | Ages 32-41 | Female | 14787 |
| 2021-08 | Ages 42-51 | Female | 9279 |
| 2021-08 | Ages 52-61 | Female | 8421 |
| 2021-08 | Ages 62-99 | Female | 7076 |
| 2021-08 | Ages 00-02 | Male | 33652 |
| 2021-08 | Ages 03-05 | Male | 26525 |
| 2021-08 | Ages 06-09 | Male | 29845 |
| 2021-08 | Ages 10-13 | Male | 26126 |
| 2021-08 | Ages 14-17 | Male | 23308 |
| 2021-08 | Ages 18-21 | Male | 22220 |
| 2021-08 | Ages 22-31 | Male | 40083 |
| 2021-08 | Ages 32-41 | Male | 20551 |
| 2021-08 | Ages 42-51 | Male | 11363 |
| 2021-08 | Ages 52-61 | Male | 10093 |
| 2021-08 | Ages 62-99 | Male | 7705 |
| 2021-07 | Ages 00-02 | Female | 18728 |
| 2021-07 | Ages 03-05 | Female | 9675 |
| 2021-07 | Ages 06-09 | Female | 10412 |
| 2021-07 | Ages 10-13 | Female | 9321 |
| 2021-07 | Ages 14-17 | Female | 9131 |
| 2021-07 | Ages 18-21 | Female | 9549 |
| 2021-07 | Ages 22-31 | Female | 21136 |
| 2021-07 | Ages 32-41 | Female | 14735 |
| 2021-07 | Ages 42-51 | Female | 9263 |
| 2021-07 | Ages 52-61 | Female | 8417 |
| 2021-07 | Ages 62-99 | Female | 7050 |
| 2021-07 | Ages 00-02 | Male | 32830 |
| 2021-07 | Ages 03-05 | Male | 26309 |
| 2021-07 | Ages 06-09 | Male | 29650 |
| 2021-07 | Ages 10-13 | Male | 25997 |
| 2021-07 | Ages 14-17 | Male | 23243 |
| 2021-07 | Ages 18-21 | Male | 22082 |
| 2021-07 | Ages 22-31 | Male | 39919 |
| 2021-07 | Ages 32-41 | Male | 20453 |
| 2021-07 | Ages 42-51 | Male | 11320 |
| 2021-07 | Ages 52-61 | Male | 10087 |
| 2021-07 | Ages 62-99 | Male | 7670 |
| 2021-06 | Ages 00-02 | Female | 18508 |
| 2021-06 | Ages 03-05 | Female | 9533 |
| 2021-06 | Ages 06-09 | Female | 10337 |
| 2021-06 | Ages 10-13 | Female | 9294 |
| 2021-06 | Ages 14-17 | Female | 9111 |
| 2021-06 | Ages 18-21 | Female | 9499 |
| 2021-06 | Ages 22-31 | Female | 21117 |
| 2021-06 | Ages 32-41 | Female | 14696 |
| 2021-06 | Ages 42-51 | Female | 9241 |
| 2021-06 | Ages 52-61 | Female | 8432 |
| 2021-06 | Ages 62-99 | Female | 7027 |
| 2021-06 | Ages 00-02 | Male | 32159 |
| 2021-06 | Ages 03-05 | Male | 26062 |
| 2021-06 | Ages 06-09 | Male | 29512 |
| 2021-06 | Ages 10-13 | Male | 25826 |
| 2021-06 | Ages 14-17 | Male | 23138 |
| 2021-06 | Ages 18-21 | Male | 21986 |
| 2021-06 | Ages 22-31 | Male | 39779 |
| 2021-06 | Ages 32-41 | Male | 20357 |
| 2021-06 | Ages 42-51 | Male | 11313 |
| 2021-06 | Ages 52-61 | Male | 10061 |
| 2021-06 | Ages 62-99 | Male | 7660 |
| 2021-05 | Ages 00-02 | Female | 17965 |
| 2021-05 | Ages 03-05 | Female | 9634 |
| 2021-05 | Ages 06-09 | Female | 10289 |
| 2021-05 | Ages 10-13 | Female | 9241 |
| 2021-05 | Ages 14-17 | Female | 9059 |
| 2021-05 | Ages 18-21 | Female | 9436 |
| 2021-05 | Ages 22-31 | Female | 21114 |
| 2021-05 | Ages 32-41 | Female | 14647 |
| 2021-05 | Ages 42-51 | Female | 9260 |
| 2021-05 | Ages 52-61 | Female | 8423 |
| 2021-05 | Ages 62-99 | Female | 7020 |
| 2021-05 | Ages 00-02 | Male | 30948 |
| 2021-05 | Ages 03-05 | Male | 26039 |
| 2021-05 | Ages 06-09 | Male | 29264 |
| 2021-05 | Ages 10-13 | Male | 25638 |
| 2021-05 | Ages 14-17 | Male | 23088 |
| 2021-05 | Ages 18-21 | Male | 21788 |
| 2021-05 | Ages 22-31 | Male | 39632 |
| 2021-05 | Ages 32-41 | Male | 20286 |
| 2021-05 | Ages 42-51 | Male | 11287 |
| 2021-05 | Ages 52-61 | Male | 10070 |
| 2021-05 | Ages 62-99 | Male | 7643 |
| 2021-04 | Ages 00-02 | Female | 17597 |
| 2021-04 | Ages 03-05 | Female | 9577 |
| 2021-04 | Ages 06-09 | Female | 10187 |
| 2021-04 | Ages 10-13 | Female | 9202 |
| 2021-04 | Ages 14-17 | Female | 9065 |
| 2021-04 | Ages 18-21 | Female | 9375 |
| 2021-04 | Ages 22-31 | Female | 21153 |
| 2021-04 | Ages 32-41 | Female | 14584 |
| 2021-04 | Ages 42-51 | Female | 9274 |
| 2021-04 | Ages 52-61 | Female | 8443 |
| 2021-04 | Ages 62-99 | Female | 7001 |
| 2021-04 | Ages 00-02 | Male | 30180 |
| 2021-04 | Ages 03-05 | Male | 25903 |
| 2021-04 | Ages 06-09 | Male | 29068 |
| 2021-04 | Ages 10-13 | Male | 25496 |
| 2021-04 | Ages 14-17 | Male | 23048 |
| 2021-04 | Ages 18-21 | Male | 21664 |
| 2021-04 | Ages 22-31 | Male | 39478 |
| 2021-04 | Ages 32-41 | Male | 20207 |
| 2021-04 | Ages 42-51 | Male | 11300 |
| 2021-04 | Ages 52-61 | Male | 10044 |
| 2021-04 | Ages 62-99 | Male | 7672 |
| 2021-03 | Ages 00-02 | Female | 17346 |
| 2021-03 | Ages 03-05 | Female | 9548 |
| 2021-03 | Ages 06-09 | Female | 10148 |
| 2021-03 | Ages 10-13 | Female | 9125 |
| 2021-03 | Ages 14-17 | Female | 9047 |
| 2021-03 | Ages 18-21 | Female | 9300 |
| 2021-03 | Ages 22-31 | Female | 21174 |
| 2021-03 | Ages 32-41 | Female | 14531 |
| 2021-03 | Ages 42-51 | Female | 9269 |
| 2021-03 | Ages 52-61 | Female | 8434 |
| 2021-03 | Ages 62-99 | Female | 6998 |
| 2021-03 | Ages 00-02 | Male | 29507 |
| 2021-03 | Ages 03-05 | Male | 25732 |
| 2021-03 | Ages 06-09 | Male | 29009 |
| 2021-03 | Ages 10-13 | Male | 25357 |
| 2021-03 | Ages 14-17 | Male | 23035 |
| 2021-03 | Ages 18-21 | Male | 21467 |
| 2021-03 | Ages 22-31 | Male | 39402 |
| 2021-03 | Ages 32-41 | Male | 20134 |
| 2021-03 | Ages 42-51 | Male | 11298 |
| 2021-03 | Ages 52-61 | Male | 10041 |
| 2021-03 | Ages 62-99 | Male | 7667 |
| 2021-02 | Ages 00-02 | Female | 17119 |
| 2021-02 | Ages 03-05 | Female | 9613 |
| 2021-02 | Ages 06-09 | Female | 10095 |
| 2021-02 | Ages 10-13 | Female | 9104 |
| 2021-02 | Ages 14-17 | Female | 9008 |
| 2021-02 | Ages 18-21 | Female | 9323 |
| 2021-02 | Ages 22-31 | Female | 21148 |
| 2021-02 | Ages 32-41 | Female | 14507 |
| 2021-02 | Ages 42-51 | Female | 9242 |
| 2021-02 | Ages 52-61 | Female | 8478 |
| 2021-02 | Ages 62-99 | Female | 7007 |
| 2021-02 | Ages 00-02 | Male | 29265 |
| 2021-02 | Ages 03-05 | Male | 25822 |
| 2021-02 | Ages 06-09 | Male | 28899 |
| 2021-02 | Ages 10-13 | Male | 25324 |
| 2021-02 | Ages 14-17 | Male | 22958 |
| 2021-02 | Ages 18-21 | Male | 21336 |
| 2021-02 | Ages 22-31 | Male | 39347 |
| 2021-02 | Ages 32-41 | Male | 20045 |
| 2021-02 | Ages 42-51 | Male | 11303 |
| 2021-02 | Ages 52-61 | Male | 10085 |
| 2021-02 | Ages 62-99 | Male | 7660 |
| 2021-01 | Ages 00-02 | Female | 17183 |
| 2021-01 | Ages 03-05 | Female | 9576 |
| 2021-01 | Ages 06-09 | Female | 10045 |
| 2021-01 | Ages 10-13 | Female | 9089 |
| 2021-01 | Ages 14-17 | Female | 9031 |
| 2021-01 | Ages 18-21 | Female | 9319 |
| 2021-01 | Ages 22-31 | Female | 21160 |
| 2021-01 | Ages 32-41 | Female | 14462 |
| 2021-01 | Ages 42-51 | Female | 9259 |
| 2021-01 | Ages 52-61 | Female | 8490 |
| 2021-01 | Ages 62-99 | Female | 7020 |
| 2021-01 | Ages 00-02 | Male | 29127 |
| 2021-01 | Ages 03-05 | Male | 25747 |
| 2021-01 | Ages 06-09 | Male | 28874 |
| 2021-01 | Ages 10-13 | Male | 25264 |
| 2021-01 | Ages 14-17 | Male | 22915 |
| 2021-01 | Ages 18-21 | Male | 21278 |
| 2021-01 | Ages 22-31 | Male | 39239 |
| 2021-01 | Ages 32-41 | Male | 19936 |
| 2021-01 | Ages 42-51 | Male | 11314 |
| 2021-01 | Ages 52-61 | Male | 10135 |
| 2021-01 | Ages 62-99 | Male | 7659 |
| 2020-12 | Ages 00-02 | Female | 17517 |
| 2020-12 | Ages 03-05 | Female | 9607 |
| 2020-12 | Ages 06-09 | Female | 10040 |
| 2020-12 | Ages 10-13 | Female | 9066 |
| 2020-12 | Ages 14-17 | Female | 9031 |
| 2020-12 | Ages 18-21 | Female | 9303 |
| 2020-12 | Ages 22-31 | Female | 21156 |
| 2020-12 | Ages 32-41 | Female | 14409 |
| 2020-12 | Ages 42-51 | Female | 9254 |
| 2020-12 | Ages 52-61 | Female | 8469 |
| 2020-12 | Ages 62-99 | Female | 7003 |
| 2020-12 | Ages 00-02 | Male | 29604 |
| 2020-12 | Ages 03-05 | Male | 25838 |
| 2020-12 | Ages 06-09 | Male | 28869 |
| 2020-12 | Ages 10-13 | Male | 25181 |
| 2020-12 | Ages 14-17 | Male | 22876 |
| 2020-12 | Ages 18-21 | Male | 21238 |
| 2020-12 | Ages 22-31 | Male | 39099 |
| 2020-12 | Ages 32-41 | Male | 19820 |
| 2020-12 | Ages 42-51 | Male | 11300 |
| 2020-12 | Ages 52-61 | Male | 10141 |
| 2020-12 | Ages 62-99 | Male | 7631 |
| 2020-11 | Ages 00-02 | Female | 17631 |
| 2020-11 | Ages 03-05 | Female | 9522 |
| 2020-11 | Ages 06-09 | Female | 9980 |
| 2020-11 | Ages 10-13 | Female | 9068 |
| 2020-11 | Ages 14-17 | Female | 8990 |
| 2020-11 | Ages 18-21 | Female | 9286 |
| 2020-11 | Ages 22-31 | Female | 21155 |
| 2020-11 | Ages 32-41 | Female | 14330 |
| 2020-11 | Ages 42-51 | Female | 9277 |
| 2020-11 | Ages 52-61 | Female | 8469 |
| 2020-11 | Ages 62-99 | Female | 6969 |
| 2020-11 | Ages 00-02 | Male | 29871 |
| 2020-11 | Ages 03-05 | Male | 25595 |
| 2020-11 | Ages 06-09 | Male | 28737 |
| 2020-11 | Ages 10-13 | Male | 25207 |
| 2020-11 | Ages 14-17 | Male | 22796 |
| 2020-11 | Ages 18-21 | Male | 21104 |
| 2020-11 | Ages 22-31 | Male | 39022 |
| 2020-11 | Ages 32-41 | Male | 19709 |
| 2020-11 | Ages 42-51 | Male | 11259 |
| 2020-11 | Ages 52-61 | Male | 10159 |
| 2020-11 | Ages 62-99 | Male | 7596 |
| 2020-10 | Ages 00-02 | Female | 17444 |
| 2020-10 | Ages 03-05 | Female | 9643 |
| 2020-10 | Ages 06-09 | Female | 9964 |
| 2020-10 | Ages 10-13 | Female | 9048 |
| 2020-10 | Ages 14-17 | Female | 8927 |
| 2020-10 | Ages 18-21 | Female | 9283 |
| 2020-10 | Ages 22-31 | Female | 21128 |
| 2020-10 | Ages 32-41 | Female | 14287 |
| 2020-10 | Ages 42-51 | Female | 9271 |
| 2020-10 | Ages 52-61 | Female | 8448 |
| 2020-10 | Ages 62-99 | Female | 6959 |
| 2020-10 | Ages 00-02 | Male | 29533 |
| 2020-10 | Ages 03-05 | Male | 25836 |
| 2020-10 | Ages 06-09 | Male | 28687 |
| 2020-10 | Ages 10-13 | Male | 25118 |
| 2020-10 | Ages 14-17 | Male | 22702 |
| 2020-10 | Ages 18-21 | Male | 21008 |
| 2020-10 | Ages 22-31 | Male | 38872 |
| 2020-10 | Ages 32-41 | Male | 19625 |
| 2020-10 | Ages 42-51 | Male | 11251 |
| 2020-10 | Ages 52-61 | Male | 10187 |
| 2020-10 | Ages 62-99 | Male | 7575 |
| 2020-09 | Ages 00-02 | Female | 17633 |
| 2020-09 | Ages 03-05 | Female | 9490 |
| 2020-09 | Ages 06-09 | Female | 9948 |
| 2020-09 | Ages 10-13 | Female | 9001 |
| 2020-09 | Ages 14-17 | Female | 8927 |
| 2020-09 | Ages 18-21 | Female | 9254 |
| 2020-09 | Ages 22-31 | Female | 21134 |
| 2020-09 | Ages 32-41 | Female | 14234 |
| 2020-09 | Ages 42-51 | Female | 9269 |
| 2020-09 | Ages 52-61 | Female | 8442 |
| 2020-09 | Ages 62-99 | Female | 6921 |
| 2020-09 | Ages 00-02 | Male | 29844 |
| 2020-09 | Ages 03-05 | Male | 25590 |
| 2020-09 | Ages 06-09 | Male | 28545 |
| 2020-09 | Ages 10-13 | Male | 24990 |
| 2020-09 | Ages 14-17 | Male | 22660 |
| 2020-09 | Ages 18-21 | Male | 20872 |
| 2020-09 | Ages 22-31 | Male | 38764 |
| 2020-09 | Ages 32-41 | Male | 19528 |
| 2020-09 | Ages 42-51 | Male | 11245 |
| 2020-09 | Ages 52-61 | Male | 10182 |
| 2020-09 | Ages 62-99 | Male | 7538 |
| 2020-08 | Ages 00-02 | Female | 17763 |
| 2020-08 | Ages 03-05 | Female | 9454 |
| 2020-08 | Ages 06-09 | Female | 9901 |
| 2020-08 | Ages 10-13 | Female | 8981 |
| 2020-08 | Ages 14-17 | Female | 8953 |
| 2020-08 | Ages 18-21 | Female | 9256 |
| 2020-08 | Ages 22-31 | Female | 21150 |
| 2020-08 | Ages 32-41 | Female | 14156 |
| 2020-08 | Ages 42-51 | Female | 9284 |
| 2020-08 | Ages 52-61 | Female | 8442 |
| 2020-08 | Ages 62-99 | Female | 6893 |
| 2020-08 | Ages 00-02 | Male | 30028 |
| 2020-08 | Ages 03-05 | Male | 25560 |
| 2020-08 | Ages 06-09 | Male | 28443 |
| 2020-08 | Ages 10-13 | Male | 24905 |
| 2020-08 | Ages 14-17 | Male | 22604 |
| 2020-08 | Ages 18-21 | Male | 20812 |
| 2020-08 | Ages 22-31 | Male | 38662 |
| 2020-08 | Ages 32-41 | Male | 19418 |
| 2020-08 | Ages 42-51 | Male | 11252 |
| 2020-08 | Ages 52-61 | Male | 10181 |
| 2020-08 | Ages 62-99 | Male | 7519 |
| 2020-08 | Ages 00-02 | Unknown | * |
| 2020-08 | Ages 03-05 | Unknown | * |
| 2020-08 | Ages 06-09 | Unknown | * |
| 2020-08 | Ages 10-13 | Unknown | * |
| 2020-08 | Ages 14-17 | Unknown | * |
| 2020-08 | Ages 18-21 | Unknown | * |
| 2020-08 | Ages 22-31 | Unknown | * |
| 2020-08 | Ages 32-41 | Unknown | * |
| 2020-08 | Ages 42-51 | Unknown | * |
| 2020-08 | Ages 52-61 | Unknown | * |
| 2020-08 | Ages 62-99 | Unknown | * |
| 2020-07 | Ages 00-02 | Female | 18167 |
| 2020-07 | Ages 03-05 | Female | 9193 |
| 2020-07 | Ages 06-09 | Female | 9801 |
| 2020-07 | Ages 10-13 | Female | 8972 |
| 2020-07 | Ages 14-17 | Female | 8940 |
| 2020-07 | Ages 18-21 | Female | 9269 |
| 2020-07 | Ages 22-31 | Female | 21132 |
| 2020-07 | Ages 32-41 | Female | 14104 |
| 2020-07 | Ages 42-51 | Female | 9266 |
| 2020-07 | Ages 52-61 | Female | 8446 |
| 2020-07 | Ages 62-99 | Female | 6882 |
| 2020-07 | Ages 00-02 | Male | 30735 |
| 2020-07 | Ages 03-05 | Male | 25088 |
| 2020-07 | Ages 06-09 | Male | 28367 |
| 2020-07 | Ages 10-13 | Male | 24837 |
| 2020-07 | Ages 14-17 | Male | 22547 |
| 2020-07 | Ages 18-21 | Male | 20775 |
| 2020-07 | Ages 22-31 | Male | 38517 |
| 2020-07 | Ages 32-41 | Male | 19348 |
| 2020-07 | Ages 42-51 | Male | 11219 |
| 2020-07 | Ages 52-61 | Male | 10188 |
| 2020-07 | Ages 62-99 | Male | 7478 |
| 2020-07 | Ages 00-02 | Unknown | * |
| 2020-07 | Ages 03-05 | Unknown | * |
| 2020-07 | Ages 06-09 | Unknown | * |
| 2020-07 | Ages 10-13 | Unknown | * |
| 2020-07 | Ages 14-17 | Unknown | * |
| 2020-07 | Ages 18-21 | Unknown | * |
| 2020-07 | Ages 22-31 | Unknown | * |
| 2020-07 | Ages 32-41 | Unknown | * |
| 2020-07 | Ages 42-51 | Unknown | * |
| 2020-07 | Ages 52-61 | Unknown | * |
| 2020-07 | Ages 62-99 | Unknown | * |
| 2020-06 | Ages 00-02 | Female | 18399 |
| 2020-06 | Ages 03-05 | Female | 9113 |
| 2020-06 | Ages 06-09 | Female | 9803 |
| 2020-06 | Ages 10-13 | Female | 8977 |
| 2020-06 | Ages 14-17 | Female | 8948 |
| 2020-06 | Ages 18-21 | Female | 9222 |
| 2020-06 | Ages 22-31 | Female | 21142 |
| 2020-06 | Ages 32-41 | Female | 14068 |
| 2020-06 | Ages 42-51 | Female | 9253 |
| 2020-06 | Ages 52-61 | Female | 8462 |
| 2020-06 | Ages 62-99 | Female | 6873 |
| 2020-06 | Ages 00-02 | Male | 31309 |
| 2020-06 | Ages 03-05 | Male | 25027 |
| 2020-06 | Ages 06-09 | Male | 28249 |
| 2020-06 | Ages 10-13 | Male | 24870 |
| 2020-06 | Ages 14-17 | Male | 22528 |
| 2020-06 | Ages 18-21 | Male | 20748 |
| 2020-06 | Ages 22-31 | Male | 38377 |
| 2020-06 | Ages 32-41 | Male | 19283 |
| 2020-06 | Ages 42-51 | Male | 11207 |
| 2020-06 | Ages 52-61 | Male | 10220 |
| 2020-06 | Ages 62-99 | Male | 7440 |
| 2020-06 | Ages 00-02 | Unknown | * |
| 2020-06 | Ages 03-05 | Unknown | * |
| 2020-06 | Ages 06-09 | Unknown | * |
| 2020-06 | Ages 10-13 | Unknown | * |
| 2020-06 | Ages 14-17 | Unknown | * |
| 2020-06 | Ages 18-21 | Unknown | * |
| 2020-06 | Ages 22-31 | Unknown | * |
| 2020-06 | Ages 32-41 | Unknown | * |
| 2020-06 | Ages 42-51 | Unknown | * |
| 2020-06 | Ages 52-61 | Unknown | * |
| 2020-06 | Ages 62-99 | Unknown | * |
| 2020-05 | Ages 00-02 | Female | 18892 |
| 2020-05 | Ages 03-05 | Female | 9163 |
| 2020-05 | Ages 06-09 | Female | 9841 |
| 2020-05 | Ages 10-13 | Female | 8989 |
| 2020-05 | Ages 14-17 | Female | 8930 |
| 2020-05 | Ages 18-21 | Female | 9241 |
| 2020-05 | Ages 22-31 | Female | 21082 |
| 2020-05 | Ages 32-41 | Female | 14067 |
| 2020-05 | Ages 42-51 | Female | 9219 |
| 2020-05 | Ages 52-61 | Female | 8488 |
| 2020-05 | Ages 62-99 | Female | 6848 |
| 2020-05 | Ages 00-02 | Male | 32341 |
| 2020-05 | Ages 03-05 | Male | 25071 |
| 2020-05 | Ages 06-09 | Male | 28276 |
| 2020-05 | Ages 10-13 | Male | 24857 |
| 2020-05 | Ages 14-17 | Male | 22549 |
| 2020-05 | Ages 18-21 | Male | 20692 |
| 2020-05 | Ages 22-31 | Male | 38270 |
| 2020-05 | Ages 32-41 | Male | 19205 |
| 2020-05 | Ages 42-51 | Male | 11200 |
| 2020-05 | Ages 52-61 | Male | 10227 |
| 2020-05 | Ages 62-99 | Male | 7426 |
| 2020-05 | Ages 00-02 | Unknown | * |
| 2020-05 | Ages 03-05 | Unknown | * |
| 2020-05 | Ages 06-09 | Unknown | * |
| 2020-05 | Ages 10-13 | Unknown | * |
| 2020-05 | Ages 14-17 | Unknown | * |
| 2020-05 | Ages 18-21 | Unknown | * |
| 2020-05 | Ages 22-31 | Unknown | * |
| 2020-05 | Ages 32-41 | Unknown | * |
| 2020-05 | Ages 42-51 | Unknown | * |
| 2020-05 | Ages 52-61 | Unknown | * |
| 2020-05 | Ages 62-99 | Unknown | * |
| 2020-04 | Ages 00-02 | Female | 19781 |
| 2020-04 | Ages 03-05 | Female | 9031 |
| 2020-04 | Ages 06-09 | Female | 9823 |
| 2020-04 | Ages 10-13 | Female | 8978 |
| 2020-04 | Ages 14-17 | Female | 8928 |
| 2020-04 | Ages 18-21 | Female | 9235 |
| 2020-04 | Ages 22-31 | Female | 21094 |
| 2020-04 | Ages 32-41 | Female | 14041 |
| 2020-04 | Ages 42-51 | Female | 9219 |
| 2020-04 | Ages 52-61 | Female | 8495 |
| 2020-04 | Ages 62-99 | Female | 6814 |
| 2020-04 | Ages 00-02 | Male | 34121 |
| 2020-04 | Ages 03-05 | Male | 24885 |
| 2020-04 | Ages 06-09 | Male | 28180 |
| 2020-04 | Ages 10-13 | Male | 24855 |
| 2020-04 | Ages 14-17 | Male | 22563 |
| 2020-04 | Ages 18-21 | Male | 20691 |
| 2020-04 | Ages 22-31 | Male | 38109 |
| 2020-04 | Ages 32-41 | Male | 19137 |
| 2020-04 | Ages 42-51 | Male | 11200 |
| 2020-04 | Ages 52-61 | Male | 10223 |
| 2020-04 | Ages 62-99 | Male | 7399 |
| 2020-04 | Ages 00-02 | Unknown | * |
| 2020-04 | Ages 03-05 | Unknown | * |
| 2020-04 | Ages 06-09 | Unknown | * |
| 2020-04 | Ages 10-13 | Unknown | * |
| 2020-04 | Ages 14-17 | Unknown | * |
| 2020-04 | Ages 18-21 | Unknown | * |
| 2020-04 | Ages 22-31 | Unknown | * |
| 2020-04 | Ages 32-41 | Unknown | * |
| 2020-04 | Ages 42-51 | Unknown | * |
| 2020-04 | Ages 52-61 | Unknown | * |
| 2020-04 | Ages 62-99 | Unknown | * |
| 2020-03 | Ages 00-02 | Female | 19968 |
| 2020-03 | Ages 03-05 | Female | 8827 |
| 2020-03 | Ages 06-09 | Female | 9795 |
| 2020-03 | Ages 10-13 | Female | 8953 |
| 2020-03 | Ages 14-17 | Female | 8927 |
| 2020-03 | Ages 18-21 | Female | 9225 |
| 2020-03 | Ages 22-31 | Female | 21067 |
| 2020-03 | Ages 32-41 | Female | 13989 |
| 2020-03 | Ages 42-51 | Female | 9201 |
| 2020-03 | Ages 52-61 | Female | 8509 |
| 2020-03 | Ages 62-99 | Female | 6784 |
| 2020-03 | Ages 00-02 | Male | 34580 |
| 2020-03 | Ages 03-05 | Male | 24524 |
| 2020-03 | Ages 06-09 | Male | 28096 |
| 2020-03 | Ages 10-13 | Male | 24700 |
| 2020-03 | Ages 14-17 | Male | 22440 |
| 2020-03 | Ages 18-21 | Male | 20635 |
| 2020-03 | Ages 22-31 | Male | 37966 |
| 2020-03 | Ages 32-41 | Male | 19070 |
| 2020-03 | Ages 42-51 | Male | 11182 |
| 2020-03 | Ages 52-61 | Male | 10232 |
| 2020-03 | Ages 62-99 | Male | 7345 |
| 2020-03 | Ages 00-02 | Unknown | * |
| 2020-03 | Ages 03-05 | Unknown | * |
| 2020-03 | Ages 06-09 | Unknown | * |
| 2020-03 | Ages 10-13 | Unknown | * |
| 2020-03 | Ages 14-17 | Unknown | * |
| 2020-03 | Ages 18-21 | Unknown | * |
| 2020-03 | Ages 22-31 | Unknown | * |
| 2020-03 | Ages 32-41 | Unknown | * |
| 2020-03 | Ages 42-51 | Unknown | * |
| 2020-03 | Ages 52-61 | Unknown | * |
| 2020-03 | Ages 62-99 | Unknown | * |
| 2020-02 | Ages 00-02 | Female | 19353 |
| 2020-02 | Ages 03-05 | Female | 8910 |
| 2020-02 | Ages 06-09 | Female | 9727 |
| 2020-02 | Ages 10-13 | Female | 8917 |
| 2020-02 | Ages 14-17 | Female | 8879 |
| 2020-02 | Ages 18-21 | Female | 9184 |
| 2020-02 | Ages 22-31 | Female | 21049 |
| 2020-02 | Ages 32-41 | Female | 13932 |
| 2020-02 | Ages 42-51 | Female | 9225 |
| 2020-02 | Ages 52-61 | Female | 8536 |
| 2020-02 | Ages 62-99 | Female | 6752 |
| 2020-02 | Ages 00-02 | Male | 33625 |
| 2020-02 | Ages 03-05 | Male | 24562 |
| 2020-02 | Ages 06-09 | Male | 27989 |
| 2020-02 | Ages 10-13 | Male | 24585 |
| 2020-02 | Ages 14-17 | Male | 22299 |
| 2020-02 | Ages 18-21 | Male | 20541 |
| 2020-02 | Ages 22-31 | Male | 37877 |
| 2020-02 | Ages 32-41 | Male | 18988 |
| 2020-02 | Ages 42-51 | Male | 11195 |
| 2020-02 | Ages 52-61 | Male | 10248 |
| 2020-02 | Ages 62-99 | Male | 7318 |
| 2020-02 | Ages 00-02 | Unknown | * |
| 2020-02 | Ages 03-05 | Unknown | * |
| 2020-02 | Ages 06-09 | Unknown | * |
| 2020-02 | Ages 10-13 | Unknown | * |
| 2020-02 | Ages 14-17 | Unknown | * |
| 2020-02 | Ages 18-21 | Unknown | * |
| 2020-02 | Ages 22-31 | Unknown | * |
| 2020-02 | Ages 32-41 | Unknown | * |
| 2020-02 | Ages 42-51 | Unknown | * |
| 2020-02 | Ages 52-61 | Unknown | * |
| 2020-02 | Ages 62-99 | Unknown | * |
| 2020-01 | Ages 00-02 | Female | 19542 |
| 2020-01 | Ages 03-05 | Female | 8754 |
| 2020-01 | Ages 06-09 | Female | 9709 |
| 2020-01 | Ages 10-13 | Female | 8910 |
| 2020-01 | Ages 14-17 | Female | 8839 |
| 2020-01 | Ages 18-21 | Female | 9192 |
| 2020-01 | Ages 22-31 | Female | 21005 |
| 2020-01 | Ages 32-41 | Female | 13917 |
| 2020-01 | Ages 42-51 | Female | 9228 |
| 2020-01 | Ages 52-61 | Female | 8547 |
| 2020-01 | Ages 62-99 | Female | 6726 |
| 2020-01 | Ages 00-02 | Male | 33936 |
| 2020-01 | Ages 03-05 | Male | 24147 |
| 2020-01 | Ages 06-09 | Male | 27926 |
| 2020-01 | Ages 10-13 | Male | 24409 |
| 2020-01 | Ages 14-17 | Male | 22288 |
| 2020-01 | Ages 18-21 | Male | 20444 |
| 2020-01 | Ages 22-31 | Male | 37722 |
| 2020-01 | Ages 32-41 | Male | 18936 |
| 2020-01 | Ages 42-51 | Male | 11165 |
| 2020-01 | Ages 52-61 | Male | 10263 |
| 2020-01 | Ages 62-99 | Male | 7277 |
| 2020-01 | Ages 00-02 | Unknown | * |
| 2020-01 | Ages 03-05 | Unknown | * |
| 2020-01 | Ages 06-09 | Unknown | * |
| 2020-01 | Ages 10-13 | Unknown | * |
| 2020-01 | Ages 14-17 | Unknown | * |
| 2020-01 | Ages 18-21 | Unknown | * |
| 2020-01 | Ages 22-31 | Unknown | * |
| 2020-01 | Ages 32-41 | Unknown | * |
| 2020-01 | Ages 42-51 | Unknown | * |
| 2020-01 | Ages 52-61 | Unknown | * |
| 2020-01 | Ages 62-99 | Unknown | * |
| 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 | * |
| 2017-09 | Ages 03-05 | Unknown | * |
| 2017-09 | Ages 06-09 | Unknown | * |
| 2017-09 | Ages 10-13 | Unknown | * |
| 2017-09 | Ages 14-17 | Unknown | * |
| 2017-09 | Ages 18-21 | Unknown | * |
| 2017-09 | Ages 22-31 | Unknown | * |
| 2017-09 | Ages 32-41 | Unknown | * |
| 2017-09 | Ages 42-51 | Unknown | * |
| 2017-09 | Ages 52-61 | Unknown | * |
| 2017-09 | Ages 62-99 | Unknown | * |
| 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 | * |
| 2017-08 | Ages 03-05 | Unknown | * |
| 2017-08 | Ages 06-09 | Unknown | * |
| 2017-08 | Ages 10-13 | Unknown | * |
| 2017-08 | Ages 14-17 | Unknown | * |
| 2017-08 | Ages 18-21 | Unknown | * |
| 2017-08 | Ages 22-31 | Unknown | * |
| 2017-08 | Ages 32-41 | Unknown | * |
| 2017-08 | Ages 42-51 | Unknown | * |
| 2017-08 | Ages 52-61 | Unknown | * |
| 2017-08 | Ages 62-99 | Unknown | * |
| 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 | * |
| 2016-12 | Ages 03-05 | Unknown | * |
| 2016-12 | Ages 06-09 | Unknown | * |
| 2016-12 | Ages 10-13 | Unknown | * |
| 2016-12 | Ages 14-17 | Unknown | * |
| 2016-12 | Ages 18-21 | Unknown | * |
| 2016-12 | Ages 22-31 | Unknown | * |
| 2016-12 | Ages 32-41 | Unknown | * |
| 2016-12 | Ages 42-51 | Unknown | * |
| 2016-12 | Ages 52-61 | Unknown | * |
| 2016-12 | Ages 62-99 | Unknown | * |
| 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 | * |
| 2016-07 | Ages 03-05 | Unknown | * |
| 2016-07 | Ages 06-09 | Unknown | * |
| 2016-07 | Ages 10-13 | Unknown | * |
| 2016-07 | Ages 14-17 | Unknown | * |
| 2016-07 | Ages 18-21 | Unknown | * |
| 2016-07 | Ages 22-31 | Unknown | * |
| 2016-07 | Ages 32-41 | Unknown | * |
| 2016-07 | Ages 42-51 | Unknown | * |
| 2016-07 | Ages 52-61 | Unknown | * |
| 2016-07 | Ages 62-99 | Unknown | * |
| 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 | * |
| 2016-03 | Ages 03-05 | Unknown | * |
| 2016-03 | Ages 06-09 | Unknown | * |
| 2016-03 | Ages 10-13 | Unknown | * |
| 2016-03 | Ages 14-17 | Unknown | * |
| 2016-03 | Ages 18-21 | Unknown | * |
| 2016-03 | Ages 22-31 | Unknown | * |
| 2016-03 | Ages 32-41 | Unknown | * |
| 2016-03 | Ages 42-51 | Unknown | * |
| 2016-03 | Ages 52-61 | Unknown | * |
| 2016-03 | Ages 62-99 | Unknown | * |
| 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 | * |
| 2016-02 | Ages 03-05 | Unknown | * |
| 2016-02 | Ages 06-09 | Unknown | * |
| 2016-02 | Ages 10-13 | Unknown | * |
| 2016-02 | Ages 14-17 | Unknown | * |
| 2016-02 | Ages 18-21 | Unknown | * |
| 2016-02 | Ages 22-31 | Unknown | * |
| 2016-02 | Ages 32-41 | Unknown | * |
| 2016-02 | Ages 42-51 | Unknown | * |
| 2016-02 | Ages 52-61 | Unknown | * |
| 2016-02 | Ages 62-99 | Unknown | * |
| 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 | * |
| 2016-01 | Ages 03-05 | Unknown | * |
| 2016-01 | Ages 06-09 | Unknown | * |
| 2016-01 | Ages 10-13 | Unknown | * |
| 2016-01 | Ages 14-17 | Unknown | * |
| 2016-01 | Ages 18-21 | Unknown | * |
| 2016-01 | Ages 22-31 | Unknown | * |
| 2016-01 | Ages 32-41 | Unknown | * |
| 2016-01 | Ages 42-51 | Unknown | * |
| 2016-01 | Ages 52-61 | Unknown | * |
| 2016-01 | Ages 62-99 | Unknown | * |
| 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 | * |
| 2015-12 | Ages 03-05 | Unknown | * |
| 2015-12 | Ages 06-09 | Unknown | * |
| 2015-12 | Ages 10-13 | Unknown | * |
| 2015-12 | Ages 14-17 | Unknown | * |
| 2015-12 | Ages 18-21 | Unknown | * |
| 2015-12 | Ages 22-31 | Unknown | * |
| 2015-12 | Ages 32-41 | Unknown | * |
| 2015-12 | Ages 42-51 | Unknown | * |
| 2015-12 | Ages 52-61 | Unknown | * |
| 2015-12 | Ages 62-99 | Unknown | * |
| 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 | * |
| 2015-11 | Ages 03-05 | Unknown | * |
| 2015-11 | Ages 06-09 | Unknown | * |
| 2015-11 | Ages 10-13 | Unknown | * |
| 2015-11 | Ages 14-17 | Unknown | * |
| 2015-11 | Ages 18-21 | Unknown | * |
| 2015-11 | Ages 22-31 | Unknown | * |
| 2015-11 | Ages 32-41 | Unknown | * |
| 2015-11 | Ages 42-51 | Unknown | * |
| 2015-11 | Ages 52-61 | Unknown | * |
| 2015-11 | Ages 62-99 | Unknown | * |
| 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 | * |
| 2015-10 | Ages 03-05 | Unknown | * |
| 2015-10 | Ages 06-09 | Unknown | * |
| 2015-10 | Ages 10-13 | Unknown | * |
| 2015-10 | Ages 14-17 | Unknown | * |
| 2015-10 | Ages 18-21 | Unknown | * |
| 2015-10 | Ages 22-31 | Unknown | * |
| 2015-10 | Ages 32-41 | Unknown | * |
| 2015-10 | Ages 42-51 | Unknown | * |
| 2015-10 | Ages 52-61 | Unknown | * |
| 2015-10 | Ages 62-99 | Unknown | * |
| 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 | * |
| 2015-09 | Ages 03-05 | Unknown | * |
| 2015-09 | Ages 06-09 | Unknown | * |
| 2015-09 | Ages 10-13 | Unknown | * |
| 2015-09 | Ages 14-17 | Unknown | * |
| 2015-09 | Ages 18-21 | Unknown | * |
| 2015-09 | Ages 22-31 | Unknown | * |
| 2015-09 | Ages 32-41 | Unknown | * |
| 2015-09 | Ages 42-51 | Unknown | * |
| 2015-09 | Ages 52-61 | Unknown | * |
| 2015-09 | Ages 62-99 | Unknown | * |
| 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 | * |
| 2015-08 | Ages 03-05 | Unknown | * |
| 2015-08 | Ages 06-09 | Unknown | * |
| 2015-08 | Ages 10-13 | Unknown | * |
| 2015-08 | Ages 14-17 | Unknown | * |
| 2015-08 | Ages 18-21 | Unknown | * |
| 2015-08 | Ages 22-31 | Unknown | * |
| 2015-08 | Ages 32-41 | Unknown | * |
| 2015-08 | Ages 42-51 | Unknown | * |
| 2015-08 | Ages 52-61 | Unknown | * |
| 2015-08 | Ages 62-99 | Unknown | * |
| 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 | * |
| 2015-07 | Ages 03-05 | Unknown | * |
| 2015-07 | Ages 06-09 | Unknown | * |
| 2015-07 | Ages 10-13 | Unknown | * |
| 2015-07 | Ages 14-17 | Unknown | * |
| 2015-07 | Ages 18-21 | Unknown | * |
| 2015-07 | Ages 22-31 | Unknown | * |
| 2015-07 | Ages 32-41 | Unknown | * |
| 2015-07 | Ages 42-51 | Unknown | * |
| 2015-07 | Ages 52-61 | Unknown | * |
| 2015-07 | Ages 62-99 | Unknown | * |
| 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 | * |
| 2015-06 | Ages 03-05 | Unknown | * |
| 2015-06 | Ages 06-09 | Unknown | * |
| 2015-06 | Ages 10-13 | Unknown | * |
| 2015-06 | Ages 14-17 | Unknown | * |
| 2015-06 | Ages 18-21 | Unknown | * |
| 2015-06 | Ages 22-31 | Unknown | * |
| 2015-06 | Ages 32-41 | Unknown | * |
| 2015-06 | Ages 42-51 | Unknown | * |
| 2015-06 | Ages 52-61 | Unknown | * |
| 2015-06 | Ages 62-99 | Unknown | * |
| 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 | * |
| 2015-05 | Ages 03-05 | Unknown | * |
| 2015-05 | Ages 06-09 | Unknown | * |
| 2015-05 | Ages 10-13 | Unknown | * |
| 2015-05 | Ages 14-17 | Unknown | * |
| 2015-05 | Ages 18-21 | Unknown | * |
| 2015-05 | Ages 22-31 | Unknown | * |
| 2015-05 | Ages 32-41 | Unknown | * |
| 2015-05 | Ages 42-51 | Unknown | * |
| 2015-05 | Ages 52-61 | Unknown | * |
| 2015-05 | Ages 62-99 | Unknown | * |
| 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 | * |
| 2015-04 | Ages 03-05 | Unknown | * |
| 2015-04 | Ages 06-09 | Unknown | * |
| 2015-04 | Ages 10-13 | Unknown | * |
| 2015-04 | Ages 14-17 | Unknown | * |
| 2015-04 | Ages 18-21 | Unknown | * |
| 2015-04 | Ages 22-31 | Unknown | * |
| 2015-04 | Ages 32-41 | Unknown | * |
| 2015-04 | Ages 42-51 | Unknown | * |
| 2015-04 | Ages 52-61 | Unknown | * |
| 2015-04 | Ages 62-99 | Unknown | * |
| 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 |
| * - In accordance with DDS Data De-Identification Guidelines, low counts have been suppressed. |