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Iowa

State or County Total Population Pediatric Asthma Adult Asthma COPD Adult Chronic Lung Disease Lung Cancer
Iowa 3,134,693 42,100 188,800 128,200 324,565 2,030
Adair 7,054 87 508 395 768 5
Adams 3,686 45 266 210 404 2
Allamakee 13,884 185 975 766 1,480 9
Appanoose 12,352 157 881 690 1,335 8
Audubon 5,578 66 404 327 619 4
Benton 25,642 346 1,811 1,334 2,680 16
Black Hawk 132,648 1,660 9,658 6,292 13,800 85
Boone 26,484 331 1,915 1,376 2,812 17
Bremer 24,911 321 1,783 1,270 2,622 16
Buchanan 21,202 323 1,438 1,039 2,119 14
Buena Vista 20,110 295 1,390 939 2,006 13
Butler 14,606 192 1,032 797 1,558 9
Calhoun 9,746 119 702 540 1,059 6
Carroll 20,320 285 1,412 1,060 2,108 13
Cass 13,145 170 932 727 1,411 8
Cedar 18,543 241 1,322 982 1,964 12
Cerro Gordo 43,006 517 3,124 2,359 4,675 27
Cherokee 11,316 139 812 647 1,238 7
Chickasaw 12,005 164 841 644 1,263 8
Clarke 9,374 137 645 470 953 6
Clay 16,170 209 1,152 860 1,717 10
Clayton 17,637 217 1,267 1,005 1,927 11
Clinton 47,010 625 3,327 2,471 4,945 30
Crawford 17,056 246 1,181 836 1,729 11
Dallas 87,235 1,413 5,867 3,647 8,242 56
Davis 8,966 149 587 426 867 6
Decatur 7,950 100 573 402 839 5
Delaware 17,153 234 1,204 903 1,793 11
Des Moines 39,417 514 2,803 2,091 4,177 25
Dickinson 17,199 192 1,262 1,023 1,938 11
Dubuque 97,041 1,288 6,909 4,838 10,080 62
Emmet 9,432 115 684 509 1,019 6
Fayette 19,796 235 1,443 1,085 2,157 13
Floyd 15,744 208 1,111 854 1,674 10
Franklin 10,164 134 719 549 1,080 7
Fremont 6,948 88 496 389 751 4
Greene 8,981 119 632 491 956 6
Grundy 12,333 164 871 656 1,303 8
Guthrie 10,670 136 759 596 1,151 7
Hamilton 15,115 199 1,071 803 1,598 10
Hancock 10,771 136 770 597 1,162 7
Hardin 17,048 199 1,247 946 1,869 11
Harrison 14,136 188 1,000 753 1,492 9
Henry 19,863 250 1,433 1,025 2,105 13
Howard 9,228 132 636 485 955 6
Humboldt 9,564 130 671 513 1,008 6
Ida 6,865 94 479 372 724 4
Iowa 16,103 217 1,136 844 1,687 10
Jackson 19,366 249 1,379 1,061 2,073 12
Jasper 36,966 480 2,639 1,930 3,903 24
Jefferson 18,422 166 1,434 1,013 2,105 12
Johnson 149,210 1,739 11,210 6,252 15,323 96
Jones 20,536 257 1,477 1,103 2,201 13
Keokuk 10,153 133 719 553 1,082 7
Kossuth 14,999 189 1,070 848 1,629 10
Lee 34,295 424 2,479 1,838 3,683 22
Linn 224,115 3,029 15,938 10,700 22,926 143
Louisa 11,184 147 798 573 1,172 7
Lucas 8,534 110 607 471 917 5
Lyon 11,792 192 780 564 1,151 8
Madison 16,013 231 1,109 800 1,628 10
Mahaska 22,235 311 1,555 1,102 2,278 14
Marion 33,105 452 2,335 1,653 3,418 21
Marshall 40,288 591 2,770 1,988 4,075 26
Mills 15,068 205 1,060 785 1,571 10
Mitchell 10,631 145 743 575 1,122 7
Monona 8,740 108 626 501 957 6
Monroe 7,845 109 548 412 818 5
Montgomery 10,137 132 719 555 1,083 6
Muscatine 42,880 621 2,972 2,072 4,325 27
O'Brien 13,801 187 968 733 1,450 9
Osceola 6,045 81 425 329 641 4
Page 15,224 171 1,125 845 1,682 10
Palo Alto 9,092 119 644 488 967 6
Plymouth 25,220 361 1,746 1,282 2,586 16
Pocahontas 6,846 90 483 384 735 4
Polk 481,830 6,944 33,755 21,370 47,662 308
Pottawattamie 93,386 1,274 6,592 4,646 9,627 60
Poweshiek 18,314 210 1,351 975 1,994 12
Ringgold 5,034 70 348 278 532 3
Sac 9,817 126 697 553 1,060 6
Scott 172,509 2,371 12,185 8,331 17,624 110
Shelby 11,628 151 823 653 1,252 7
Sioux 34,860 543 2,362 1,568 3,393 22
Story 97,502 928 7,679 4,113 10,406 63
Tama 17,058 237 1,190 897 1,777 11
Taylor 6,178 82 434 336 656 4
Union 12,450 161 889 652 1,318 8
Van Buren 7,157 94 505 392 763 5
Wapello 35,044 451 2,516 1,774 3,678 22
Warren 50,163 712 3,507 2,405 5,075 32
Washington 22,281 323 1,534 1,130 2,276 14
Wayne 6,476 95 442 341 667 4
Webster 36,605 458 2,649 1,861 3,870 24
Winnebago 10,587 134 759 566 1,131 7
Winneshiek 20,201 214 1,520 1,090 2,238 13
Woodbury 102,429 1,545 7,028 4,690 10,092 66
Worth 7,469 90 543 406 808 5
Wright 12,784 177 888 695 1,346 8

*DISCLAIMER: The numbers in this publication reflect the estimated prevalence and incidence of lung disease, and not the actual number. These estimates are based on state or national incidence and prevalence estimates applied to the age-specific population of each county; no adjustments are made for any other factors that may affect the actual local prevalence. When citing this information, please be careful to ensure that the nature and limitations of these estimates are understood.

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