Health Outcomes

COPD Prevalence by County — US Rankings

CDC PLACES 2023 · Age-adjusted prevalence · All 3,144 US counties

Chronic obstructive pulmonary disease — emphysema or chronic bronchitis — has the strongest single-cause association with cigarette smoking of any measure in PLACES. The age-adjusted county prevalence tracks two generations of regional smoking history more than current behavior. Central Appalachia, the Ohio River Valley, parts of the rural Plains, and the southern coastal South show the highest prevalence. Some of that pattern reflects long-tail occupational exposure (coal, textile dust, agriculture) as well, which PLACES does not separately measure. The age adjustment matters here too: older counties have more lifetime smoking exposure.

How this ranking is built

Source: CDC PLACES 2023 release. Methodology: BRFSS survey responses pooled across years, fitted with a small-area statistical model, age-adjusted to the 2000 US standard population. Confidence intervals (95%) are shown for each county — wider intervals indicate more uncertainty in the modeled estimate, typically driven by smaller populations.

Lowest COPD Rates — Top 100 Counties

Counties with the lowest reported copd prevalence — these counties show the most favorable position on this measure.

#CountyRate
1Los Alamos County3.2%
2Falls Church city3.2%
3Santa Clara County3.3%
4King County3.3%
5Somerset County3.4%
6Arlington County3.4%
7San Mateo County3.5%
8Howard County3.5%
9Morris County3.5%
10San Francisco County3.6%
11Douglas County3.6%
12Bergen County3.6%
13Loudoun County3.6%
14Summit County3.7%
15Fairfax County3.7%
16Alameda County3.8%
17Broomfield County3.8%
18Forsyth County3.8%
19Montgomery County3.8%
20Carver County3.8%
21Washington County3.8%
22Hunterdon County3.8%
23Marin County3.9%
24Pitkin County3.9%
25Nantucket County3.9%
26Middlesex County3.9%
27Nassau County3.9%
28Fort Bend County3.9%
29Terrell County3.9%
30Contra Costa County4.0%
31Western Connecticut Planning Region4.0%
32Dakota County4.0%
33Hennepin County4.0%
34Scott County4.0%
35Monmouth County4.0%
36Collin County4.0%
37Alexandria city4.0%
38Teton County4.0%
39Orange County4.1%
40Hinsdale County4.1%
41Oconee County4.1%
42Honolulu County4.1%
43Johnson County4.1%
44Middlesex County4.1%
45New York County4.1%
46Westchester County4.1%
47Morgan County4.1%
48Wasatch County4.1%
49Waukesha County4.1%
50Placer County4.2%
51District of Columbia4.2%
52Fayette County4.2%
53Norfolk County4.2%
54Olmsted County4.2%
55Hudson County4.2%
56Denton County4.2%
57Rockwall County4.2%
58Travis County4.2%
59Williamson County4.2%
60Fairfax city4.2%
61San Juan County4.2%
62Ozaukee County4.2%
63Ouray County4.3%
64DuPage County4.3%
65Hamilton County4.3%
66Dallas County4.3%
67Putnam County4.3%
68Davis County4.3%
69Dane County4.3%
70San Benito County4.4%
71San Diego County4.4%
72Boulder County4.4%
73Clear Creek County4.4%
74Denver County4.4%
75Jefferson County4.4%
76Lake County4.4%
77Fulton County4.4%
78Wright County4.4%
79Sarpy County4.4%
80Burlington County4.4%
81Mercer County4.4%
82Sussex County4.4%
83Mora County4.4%
84Wake County4.4%
85Delaware County4.4%
86Kendall County4.4%
87Sterling County4.4%
88Utah County4.4%
89Albemarle County4.4%
90York County4.4%
91Island County4.4%
92Snohomish County4.4%
93Los Angeles County4.5%
94Ventura County4.5%
95Eagle County4.5%
96Routt County4.5%
97San Miguel County4.5%
98Cobb County4.5%
99Dodge County4.5%
100Union County4.5%

Best 100 counties for COPD.

Highest COPD Rates — Bottom 100 CountiesCounties with the highest reported copd prevalence.
#CountyRate
1Oglala Lakota County15.0%
2Todd County14.3%
3Hancock County14.1%
4McDowell County13.6%
5Lake County13.4%
6Mingo County13.0%
7East Carroll Parish12.7%
8Kusilvak Census Area12.4%
9Calhoun County12.2%
10Sioux County12.1%
11Scott County12.0%
12Mellette County12.0%
13Madison Parish11.8%
14Claiborne Parish11.6%
15Corson County11.4%
16Jackson County11.3%
17Pemiscot County11.3%
18Webster County11.2%
19Roane County11.2%
20Lincoln County11.2%
21Braxton County11.2%
22Bullock County11.2%
23Wyoming County11.1%
24Clay County11.1%
25Pickett County11.1%
26Hickory County11.1%
27Humphreys County11.1%
28Logan County11.0%
29Bledsoe County11.0%
30Wayne County10.9%
31Crawford County10.9%
32Grundy County10.8%
33Ziebach County10.8%
34McKinley County10.8%
35Ozark County10.8%
36Bienville Parish10.8%
37Decatur County10.7%
38Cocke County10.7%
39Tensas Parish10.7%
40Desha County10.7%
41Perry County10.7%
42Greene County10.7%
43Summers County10.6%
44Ripley County10.6%
45Quitman County10.6%
46Johnson County10.5%
47Clay County10.5%
48Buffalo County10.5%
49Bennett County10.5%
50Pike County10.5%
51Mississippi County10.5%
52Tunica County10.5%
53Sharkey County10.5%
54Concordia Parish10.5%
55Treutlen County10.5%
56Ritchie County10.4%
57San Augustine County10.4%
58Sequatchie County10.4%
59Perry County10.4%
60Fentress County10.4%
61Okfuskee County10.4%
62Meigs County10.4%
63Wright County10.4%
64Oregon County10.4%
65Holmes County10.4%
66Franklin Parish10.4%
67Avoyelles Parish10.4%
68Apache County10.4%
69Bethel Census Area10.4%
70Pocahontas County10.3%
71Campbell County10.3%
72Adair County10.3%
73Robeson County10.3%
74McDonald County10.3%
75Dunklin County10.3%
76Webster Parish10.3%
77Morehouse Parish10.3%
78Randolph County10.3%
79Lafayette County10.3%
80Wilcox County10.3%
81Buchanan County10.2%
82Jackson County10.2%
83Dewey County10.2%
84Dillon County10.2%
85Coal County10.2%
86Carter County10.2%
87Yazoo County10.2%
88Telfair County10.2%
89Searcy County10.2%
90Lee County10.2%
91Lee County10.1%
92Newton County10.1%
93Overton County10.1%
94Hardin County10.1%
95Pushmataha County10.1%
96Glacier County10.1%
97Washington County10.1%
98Red River Parish10.1%
99Caldwell Parish10.1%
100Taylor County10.1%

Worst 100 counties for COPD.

What this ranking suggests

COPD prevalence is a historical indicator: by the time it shows up in BRFSS, the underlying smoking exposure happened decades earlier. The CSMOKING ranking is the contemporary signal; the COPD ranking is the consequence. Reading the two together for the same county gives a rough sense of where the burden is going.

Methodology notes & limitations

Estimates are statistical model outputs, not direct measurements. Small counties have wider confidence intervals; treat narrow rank differences in those rows as within-noise. Counties where the underlying population is too small to support modeling are suppressed entirely (about 1% of US counties). All measures are age-adjusted to the 2000 US standard population. The PLACES dataset uses BRFSS self-reported data — self-report introduces known direction-of-bias in some measures (BMI is under-reported; binge drinking is under-reported), but the bias is roughly uniform across counties so ranking comparability is preserved. See the methodology page for full data-pipeline documentation.

By Logan Johnson, Founder & Data EditorPublished Reviewed by Logan Johnson, Founder & Data Editor

Data source: CDC PLACES 2023 release. Measure ID: COPD.

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