AHSVS 2013 E-Book - page 440

<1 1-4 5-14 15-24 25-34 35-44 45-54 55-64 65-74 75-84 85+ Total
Total
89,196 351,077 924,150 937,362 868,888 834,554 834,992 759,706 566,812 301,956 112,360 6,581,054
Male
45,727 179,148 472,129 486,844 445,906 421,596 414,700 361,058 266,833 139,537 41,580 3,275,060
Female
43,469 171,929 452,021 450,518 422,981 412,958 420,292 398,648 299,979 162,418 70,780 3,305,994
Total
1,028 4,293 12,324 11,096 7,992 7,819 9,585 8,708 5,795 2,713 826 72,180
Male
524 2,233 6,116 5,794 4,128 3,958 4,708 4,180 2,757 1,240 312 35,949
Female
504 2,060 6,207 5,302 3,864 3,861 4,877 4,529 3,038 1,474 515 36,231
Total
1,970 7,488 15,887 18,056 16,117 13,879 15,959 17,334 14,280 7,563 2,374 130,906
Male
1,047 3,659 8,325 9,824 8,712 7,208 7,852 8,337 6,865 3,727 919 66,477
Female
923 3,829 7,561 8,231 7,405 6,671 8,106 8,996 7,415 3,837 1,455 64,429
Total
1,784 6,941 17,614 28,417 18,464 15,615 16,588 16,462 8,999 3,648 1,164 135,695
Male
913 3,534 8,999 13,735 9,451 7,993 8,095 8,070 4,363 1,713 393 67,259
Female
871 3,408 8,615 14,682 9,012 7,621 8,493 8,393 4,636 1,935 771 68,436
Total
665 2,550 6,217 5,623 4,743 4,759 6,858 8,722 8,072 4,213 1,247 53,670
Male
340 1,339 3,195 2,882 2,502 2,340 3,385 4,219 3,919 2,043 475 26,638
Female
325 1,211 3,022 2,741 2,241 2,420 3,473 4,503 4,153 2,170 772 27,032
Total
592 2,422 6,027 6,231 5,381 4,453 4,268 3,916 2,595 1,542 445 37,872
Male
303 1,267 2,982 3,275 3,191 2,593 2,317 1,986 1,241 708 167 20,030
Female
289 1,155 3,046 2,955 2,190 1,861 1,951 1,929 1,354 834 277 17,842
Total
148 602 1,698 1,595 1,379 1,256 1,423 1,406 780 484 142 10,913
Male
76 300 877 892 695 624 782 777 401 221
41 5,687
Female
72 302 821 703 683 632 641 629 379 263 101 5,226
Total
203 777 2,115 1,822 1,643 1,585 2,260 3,209 4,503 2,399 465 20,979
Male
104 399 1,099 959 876 802 1,096 1,526 2,289 1,322 233 10,704
Female
99 378 1,016 863 767 782 1,165 1,683 2,213 1,077 232 10,275
Total
54,886 217,392 575,527 563,127 548,123 533,039 511,710 423,346 295,317 158,394 63,997 3,944,859
Male
28,257 111,015 294,510 291,097 277,793 266,806 253,796 201,082 137,352 70,848 22,895 1,955,452
Female
26,628 106,377 281,017 272,030 270,330 266,233 257,914 222,264 157,966 87,546 41,102 1,989,407
Total
1,933 7,994 22,859 22,656 19,210 19,511 26,710 31,557 30,614 16,172 4,377 203,592
Male
989 4,012 11,539 11,728 10,253 10,028 13,324 15,297 15,228 8,220 1,773 102,391
Female
944 3,982 11,321 10,928 8,958 9,482 13,386 16,260 15,386 7,952 2,603 101,201
Total
1,709 6,680 17,686 15,350 12,001 11,615 13,831 13,836 9,984 4,634 1,369 108,694
Male
874 3,384 8,921 8,017 6,233 5,916 6,789 6,578 4,805 2,189 528 54,234
Female
834 3,296 8,765 7,333 5,768 5,700 7,041 7,257 5,179 2,445 841 54,460
Total
12,728 48,727 124,782 147,907 129,003 117,210 123,883 126,344 92,641 51,533 21,287 996,046
Male
6,458 24,824 63,920 75,593 65,892 58,687 60,988 59,618 43,048 23,375 7,846 490,249
Female
6,270 23,903 60,862 72,315 63,111 58,523 62,894 66,726 49,593 28,158 13,441 505,797
Total
5,198 21,940 60,278 49,807 54,946 55,408 44,762 41,942 37,778 17,650 4,103 393,813
Male
2,599 11,359 30,652 27,488 30,821 31,099 24,036 19,912 18,191 8,720 1,662 206,539
Female
2,599 10,581 29,627 22,319 24,126 24,309 20,725 22,030 19,587 8,930 2,441 187,274
Total
727 2,886 8,112 7,009 5,095 5,672 6,343 6,156 4,322 2,150 745 49,218
Male
372 1,468 4,139 3,631 2,391 2,509 2,936 2,784 2,031 990 268 23,519
Female
355 1,418 3,973 3,379 2,704 3,163 3,407 3,372 2,291 1,160 477 25,699
Total
1,886 7,610 22,310 23,633 18,783 19,593 27,052 36,286 32,746 17,058 6,336 213,294
Male
965 3,835 11,323 12,659 9,605 9,565 12,966 16,997 15,691 8,373 2,495 104,475
Female
921 3,775 10,986 10,974 9,178 10,028 14,087 19,289 17,054 8,685 3,841 108,819
Total
3,741 12,775 30,714 35,033 26,008 23,139 23,760 20,481 18,387 11,801 3,483 209,323
Male
1,906 6,521 15,532 19,272 13,364 11,468 11,628 9,694 8,652 5,849 1,574 105,459
Female
1,835 6,254 15,182 15,761 12,644 11,671 12,132 10,788 9,735 5,952 1,909 103,864
Notes: Totalsmay not equal sum of parts due to rounding; Non-rounded population denominator tables can be found:
Apache
LaPaz
Yuma
Navajo
Pima
Pinal
SantaCruz
Greenlee
Mohave
Cochise
Yavapai
Gila
Graham
Maricopa
TABLE10B-1
POPULATIONBY TEN-YEARAGEGROUPS, GENDER, ANDCOUNTYOFRESIDENCE,
ARIZONA, 2013
Coconino
Arizona
440
Arizona Health Status and Vital Statistics 2013
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