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Indiana

State or County Total Population Pediatric Asthma Adult Asthma COPD Adult Chronic Lung Disease Lung Cancer
Indiana 6,633,053 128,900 513,100 407,400 800,571 4,640
Adams 35,491 762 2,445 2,150 3,865 26
Allen 372,877 6,627 27,856 23,377 43,206 275
Bartholomew 82,040 1,341 6,278 5,409 9,843 61
Benton 8,613 148 646 595 1,039 6
Blackford 11,976 179 930 899 1,528 9
Boone 65,875 1,205 4,884 4,136 7,590 49
Brown 15,035 189 1,214 1,246 2,044 11
Carroll 20,039 306 1,553 1,461 2,521 15
Cass 37,994 607 2,918 2,642 4,664 28
Clark 116,973 1,824 9,100 7,831 14,247 86
Clay 26,198 414 2,019 1,832 3,229 19
Clinton 32,317 585 2,384 2,128 3,788 24
Crawford 10,566 159 823 781 1,341 8
Daviess 33,113 666 2,350 2,041 3,696 25
Dearborn 49,741 776 3,851 3,537 6,184 37
Decatur 26,737 450 2,025 1,808 3,217 20
DeKalb 42,836 714 3,258 2,885 5,157 32
Delaware 115,184 1,471 9,423 7,764 14,542 85
Dubois 42,558 710 3,226 2,944 5,169 31
Elkhart 205,032 3,903 14,916 12,668 23,246 151
Fayette 23,209 351 1,802 1,699 2,930 17
Floyd 77,071 1,206 5,983 5,271 9,450 57
Fountain 16,505 255 1,273 1,211 2,077 12
Franklin 22,619 357 1,741 1,622 2,813 17
Fulton 20,059 329 1,520 1,427 2,467 15
Gibson 33,576 539 2,576 2,331 4,115 25
Grant 66,491 953 5,255 4,731 8,388 49
Greene 32,177 489 2,498 2,358 4,060 24
Hamilton 323,747 6,094 23,817 19,643 36,632 239
Hancock 74,985 1,213 5,758 5,111 9,122 55
Harrison 39,898 618 3,095 2,838 4,967 30
Hendricks 163,685 2,860 12,326 10,355 19,107 121
Henry 48,476 685 3,845 3,534 6,183 36
Howard 82,363 1,284 6,346 5,883 10,247 61
Huntington 36,337 541 2,855 2,536 4,527 27
Jackson 43,884 739 3,325 2,927 5,254 32
Jasper 33,447 541 2,561 2,291 4,074 25
Jay 20,945 372 1,552 1,425 2,494 15
Jefferson 32,089 452 2,556 2,289 4,067 24
Jennings 27,626 439 2,133 1,910 3,389 20
Johnson 153,897 2,629 11,656 9,789 18,081 114
Knox 37,508 551 2,956 2,567 4,651 28
Kosciusko 79,206 1,312 6,032 5,291 9,520 59
LaGrange 39,303 889 2,653 2,230 4,120 29
Lake 485,640 7,910 37,193 32,673 58,718 357
LaPorte 110,029 1,635 8,635 7,732 13,740 82
Lawrence 45,666 690 3,547 3,351 5,770 34
Madison 129,498 1,946 10,119 9,101 16,136 96
Marion 950,082 16,146 72,461 57,127 109,767 699
Marshall 46,498 801 3,484 3,170 5,580 34
Martin 10,215 158 789 744 1,282 8
Miami 35,845 532 2,816 2,496 4,463 27
Monroe 146,986 1,608 12,561 8,811 18,306 109
Montgomery 38,525 611 2,966 2,682 4,737 29
Morgan 69,713 1,090 5,403 4,929 8,648 52
Newton 14,130 212 1,103 1,034 1,787 10
Noble 47,452 814 3,579 3,147 5,649 35
Ohio 5,828 76 469 464 777 4
Orange 19,426 305 1,492 1,409 2,427 14
Owen 20,839 307 1,634 1,556 2,663 15
Parke 16,886 254 1,316 1,220 2,124 12
Perry 19,081 279 1,502 1,364 2,404 14
Pike 12,365 184 964 924 1,577 9
Porter 168,404 2,576 13,157 11,495 20,720 124
Posey 25,595 390 1,991 1,853 3,215 19
Pulaski 12,534 191 972 915 1,578 9
Putnam 37,702 510 3,045 2,580 4,743 28
Randolph 24,922 394 1,908 1,810 3,110 18
Ripley 28,442 469 2,161 1,980 3,470 21
Rush 16,645 260 1,285 1,195 2,075 12
St. Joseph 270,434 4,403 20,751 17,577 32,320 199
Scott 23,870 373 1,851 1,656 2,941 18
Shelby 44,395 697 3,434 3,114 5,486 33
Spencer 20,394 310 1,584 1,502 2,579 15
Starke 22,893 358 1,766 1,637 2,848 17
Steuben 34,484 488 2,728 2,564 4,427 26
Sullivan 20,746 280 1,672 1,466 2,639 16
Switzerland 10,696 186 800 738 1,287 8
Tippecanoe 190,587 2,741 15,334 10,724 22,315 142
Tipton 15,128 216 1,192 1,149 1,955 11
Union 7,200 105 566 531 917 5
Vanderburgh 181,616 2,697 14,297 12,307 22,406 134
Vermillion 15,505 237 1,200 1,131 1,950 11
Vigo 107,516 1,517 8,594 7,093 13,265 80
Wabash 31,443 451 2,474 2,320 4,016 23
Warren 8,201 123 638 615 1,045 6
Warrick 62,530 1,049 4,732 4,295 7,567 46
Washington 27,827 439 2,148 1,954 3,437 21
Wayne 66,185 1,003 5,148 4,728 8,280 49
Wells 27,984 472 2,109 1,945 3,396 21
White 24,182 390 1,839 1,757 3,006 18
Whitley 33,756 534 2,600 2,379 4,171 25

*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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