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Ohio

State or County Total Population Pediatric Asthma Adult Asthma COPD Adult Chronic Lung Disease Lung Cancer
Ohio 11,614,373 179,400 881,800 785,300 1,398,780 7,940
Adams 27,726 577 2,088 1,840 3,308 19
Allen 103,198 2,065 7,862 6,655 12,265 71
Ashland 53,628 1,055 4,099 3,542 6,447 37
Ashtabula 97,807 1,876 7,536 6,716 11,997 67
Athens 66,597 837 5,699 3,860 8,192 46
Auglaize 45,778 961 3,432 3,021 5,437 31
Belmont 68,029 1,119 5,442 4,873 8,683 47
Brown 43,576 866 3,327 2,938 5,277 30
Butler 380,604 7,788 28,986 23,237 44,243 261
Carroll 27,385 497 2,134 1,980 3,455 19
Champaign 38,840 755 2,985 2,621 4,723 27
Clark 134,557 2,629 10,291 9,083 16,326 92
Clermont 204,214 4,119 15,592 13,229 24,325 140
Clinton 42,009 847 3,200 2,733 5,007 29
Columbiana 103,077 1,827 8,096 7,320 12,968 71
Coshocton 36,544 747 2,757 2,468 4,398 25
Crawford 41,746 782 3,221 2,928 5,173 29
Cuyahoga 1,248,514 22,558 97,925 83,455 153,150 852
Darke 51,536 1,060 3,878 3,492 6,202 35
Defiance 38,156 758 2,908 2,518 4,578 26
Delaware 200,464 4,648 14,674 12,036 22,581 138
Erie 74,817 1,324 5,859 5,395 9,459 51
Fairfield 154,733 3,220 11,698 9,807 18,167 106
Fayette 28,752 588 2,176 1,889 3,428 20
Franklin 1,291,981 26,111 99,238 72,604 146,419 885
Fulton 42,289 871 3,197 2,791 5,046 29
Gallia 29,973 597 2,283 2,001 3,611 21
Geauga 93,918 1,881 7,129 6,625 11,546 64
Greene 166,752 2,977 13,143 10,805 20,268 114
Guernsey 39,093 751 3,006 2,688 4,793 27
Hamilton 813,822 16,207 62,400 50,352 95,505 556
Hancock 75,754 1,461 5,843 4,914 9,090 52
Hardin 31,364 627 2,397 1,933 3,670 22
Harrison 15,216 277 1,185 1,107 1,924 10
Henry 27,185 546 2,067 1,814 3,270 19
Highland 42,971 893 3,232 2,842 5,118 29
Hocking 28,474 544 2,196 1,961 3,498 20
Holmes 43,957 1,206 2,987 2,368 4,543 30
Huron 58,494 1,228 4,397 3,790 6,905 40
Jackson 32,449 669 2,453 2,102 3,844 22
Jefferson 66,359 1,109 5,277 4,798 8,475 45
Knox 61,261 1,207 4,686 4,014 7,344 42
Lake 230,117 4,039 18,141 16,266 28,955 158
Lawrence 60,249 1,141 4,658 4,099 7,378 41
Licking 173,448 3,486 13,242 11,251 20,673 119
Logan 45,325 911 3,451 3,025 5,456 31
Lorain 307,924 5,929 23,729 20,681 37,436 211
Lucas 430,887 8,601 32,969 27,291 50,960 295
Madison 44,036 784 3,491 2,865 5,375 31
Mahoning 229,796 3,991 18,112 16,282 28,953 157
Marion 64,967 1,168 5,107 4,363 7,993 45
Medina 178,371 3,491 13,705 12,038 21,681 122
Meigs 23,080 429 1,792 1,617 2,868 16
Mercer 40,873 905 3,013 2,630 4,756 28
Miami 105,122 2,097 8,005 7,051 12,685 72
Monroe 13,946 248 1,087 1,031 1,778 10
Montgomery 531,542 10,200 40,982 34,770 63,990 363
Morgan 14,709 268 1,145 1,054 1,848 10
Morrow 34,994 709 2,663 2,339 4,212 24
Muskingum 86,149 1,698 6,595 5,673 10,351 59
Noble 14,406 230 1,146 1,168 1,933 10
Ottawa 40,657 662 3,234 3,154 5,350 28
Paulding 18,845 387 1,423 1,263 2,261 13
Perry 36,024 740 2,733 2,348 4,284 25
Pickaway 57,830 1,079 4,520 3,702 6,956 40
Pike 28,270 580 2,137 1,861 3,370 19
Portage 162,277 2,656 13,103 10,566 20,050 111
Preble 41,120 804 3,148 2,813 5,018 28
Putnam 33,878 746 2,505 2,193 3,958 23
Richland 120,589 2,264 9,324 8,180 14,758 83
Ross 77,313 1,415 6,068 5,136 9,458 54
Sandusky 59,195 1,163 4,531 3,997 7,184 41
Scioto 75,929 1,419 5,897 5,038 9,232 52
Seneca 55,243 1,055 4,265 3,647 6,680 38
Shelby 48,759 1,062 3,625 3,112 5,683 34
Stark 372,542 6,959 28,882 25,488 45,811 255
Summit 541,228 9,864 42,396 36,312 66,421 370
Trumbull 200,380 3,563 15,684 14,324 25,235 137
Tuscarawas 92,297 1,830 7,026 6,248 11,180 63
Union 56,741 1,223 4,274 3,344 6,458 39
Van Wert 28,217 568 2,141 1,891 3,397 19
Vinton 13,092 251 1,012 888 1,600 9
Warren 228,882 4,963 17,131 14,277 26,527 157
Washington 60,418 1,035 4,779 4,311 7,650 41
Wayne 116,038 2,452 8,685 7,434 13,608 80
Williams 36,784 728 2,806 2,480 4,453 25
Wood 130,492 2,286 10,367 7,964 15,582 89
Wyandot 22,029 432 1,684 1,490 2,674 15

*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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