US counties by coronary heart disease in adults, local model estimate
La Paz County had the highest coronary heart disease in adults, local model estimate of 3144 counties in 2022, at 14.9%. Madison County had the lowest, at 3.4%. The median was 8.4%. Source: the Centers for Disease Control and Prevention.
Map of counties, 2022
Top 40 counties, 2022
Full ranking
| Rank | Counties | 2022 (%) | Change on 2021 |
|---|---|---|---|
| 1 | La Paz County | 14.9 | +2.4 pts |
| 2 | Catron County | 14.4 | +1.3 pts |
| 3 | Fulton County | 13.8 | +2.2 pts |
| 4 | McDowell County | 13.6 | +0.8 pts |
| 4 | Sumter County | 13.6 | |
| 6 | Prairie County | 13.5 | +2.1 pts |
| 7 | Kenedy County | 13.4 | +4.7 pts |
| 8 | Hickory County | 13.2 | +1.1 pts |
| 9 | Edwards County | 13.1 | +1.9 pts |
| 9 | Highlands County | 13.1 | |
| 9 | Noble County | 13.1 | +1 pts |
| 9 | Wolfe County | 13.1 | +1 pts |
| 13 | Searcy County | 13 | +1.5 pts |
| 14 | Calhoun County | 12.9 | +0.3 pts |
| 15 | Briscoe County | 12.8 | +2.6 pts |
| 15 | Jeff Davis County | 12.8 | +1.1 pts |
| 15 | Marion County | 12.8 | +1.7 pts |
| 15 | Tensas Parish | 12.8 | +1 pts |
| 19 | Stone County | 12.7 | +0.6 pts |
| 20 | Glades County | 12.6 | |
| 20 | Harding County | 12.6 | +1.2 pts |
| 20 | Presidio County | 12.6 | +0.8 pts |
| 23 | Ozark County | 12.5 | +0.3 pts |
| 23 | Pickett County | 12.5 | +1.3 pts |
| 23 | Randolph County | 12.5 | +0.8 pts |
| 23 | Real County | 12.5 | +1.2 pts |
| 23 | Sierra County | 12.5 | +1.6 pts |
| 23 | Van Buren County | 12.5 | +1.4 pts |
| 29 | Lafayette County | 12.4 | +1 pts |
| 29 | Pocahontas County | 12.4 | +0.4 pts |
| 29 | Sioux County | 12.4 | +3 pts |
| 32 | Baxter County | 12.3 | +1.3 pts |
| 32 | Charlotte County | 12.3 | |
| 32 | Montgomery County | 12.3 | +1.1 pts |
| 32 | Pushmataha County | 12.3 | +2 pts |
| 36 | Sabine County | 12.2 | +1.3 pts |
| 37 | Casey County | 12.1 | +1.8 pts |
| 37 | Hancock County | 12.1 | +1.1 pts |
| 37 | San Augustine County | 12.1 | +1.1 pts |
| 37 | Webster County | 12.1 | +0.1 pts |
| 37 | Wheeler County | 12.1 | +1.3 pts |
| 42 | Alcona County | 12 | +1.1 pts |
| 42 | Citrus County | 12 | |
| 42 | Curry County | 12 | +2.3 pts |
| 42 | King County | 12 | +2.1 pts |
| 42 | McIntosh County | 12 | +1.3 pts |
| 47 | Elk County | 11.9 | +1.1 pts |
| 47 | Esmeralda County | 11.9 | 0 pts |
| 47 | Hayes County | 11.9 | +2.8 pts |
| 47 | Wirt County | 11.9 | +1.1 pts |
| 51 | Amite County | 11.8 | +1.1 pts |
| 51 | Quitman County | 11.8 | +0.5 pts |
| 51 | Wyoming County | 11.8 | +0.6 pts |
| 54 | Carroll County | 11.7 | +2 pts |
| 54 | Knott County | 11.7 | +1.1 pts |
| 54 | Magoffin County | 11.7 | +1.1 pts |
| 54 | Mingo County | 11.7 | +0.3 pts |
| 54 | Montgomery County | 11.7 | +1.6 pts |
| 54 | Ritchie County | 11.7 | +1.1 pts |
| 54 | Summers County | 11.7 | +0.7 pts |
| 54 | Wayne County | 11.7 | +1.5 pts |
| 62 | Benton County | 11.6 | +0.6 pts |
| 62 | Cumberland County | 11.6 | +1 pts |
| 62 | DeSoto County | 11.6 | |
| 62 | Foard County | 11.6 | +0.3 pts |
| 62 | Grant County | 11.6 | +2 pts |
| 62 | Hampshire County | 11.6 | +1.4 pts |
| 62 | Latimer County | 11.6 | +1.6 pts |
| 62 | Lincoln County | 11.6 | +0.8 pts |
| 62 | McIntosh County | 11.6 | +1.8 pts |
| 62 | Monroe County | 11.6 | +0.9 pts |
| 62 | Ontonagon County | 11.6 | +0.4 pts |
| 62 | Piute County | 11.6 | +1.5 pts |
| 62 | Sharkey County | 11.6 | +1.7 pts |
| 75 | Cameron County | 11.5 | +0.9 pts |
| 75 | Cumberland County | 11.5 | +0.6 pts |
| 75 | Greene County | 11.5 | 0 pts |
| 75 | Lee County | 11.5 | +1 pts |
| 75 | Mohave County | 11.5 | +1.7 pts |
| 75 | Roane County | 11.5 | +0.1 pts |
| 75 | Russell County | 11.5 | +2 pts |
| 75 | Schoolcraft County | 11.5 | +1.5 pts |
| 75 | Stone County | 11.5 | +1 pts |
| 84 | Apache County | 11.4 | +1.7 pts |
| 84 | Cedar County | 11.4 | +1.2 pts |
| 84 | Cherokee County | 11.4 | +1 pts |
| 84 | Clay County | 11.4 | +0.4 pts |
| 84 | Delaware County | 11.4 | +1 pts |
| 84 | Garden County | 11.4 | +2.2 pts |
| 84 | Grant County | 11.4 | +1 pts |
| 84 | Lewis County | 11.4 | +0.4 pts |
| 84 | Logan County | 11.4 | +0.3 pts |
| 84 | Mellette County | 11.4 | +0.1 pts |
| 84 | Oscoda County | 11.4 | +1 pts |
| 84 | Robertson County | 11.4 | +1.3 pts |
| 96 | Bath County | 11.3 | +0.8 pts |
| 96 | Claiborne Parish | 11.3 | +1.3 pts |
| 96 | Clay County | 11.3 | -0.1 pts |
| 96 | Coal County | 11.3 | +1.5 pts |
| 96 | Craig County | 11.3 | +2.2 pts |
| 96 | Dixie County | 11.3 | |
| 96 | Golden Valley County | 11.3 | +2.4 pts |
| 96 | Menard County | 11.3 | +1.3 pts |
| 96 | Newton County | 11.3 | +1.9 pts |
| 96 | Newton County | 11.3 | +1.2 pts |
| 96 | Putnam County | 11.3 | |
| 96 | Sedgwick County | 11.3 | +2.4 pts |
| 96 | Wayne County | 11.3 | +0.4 pts |
| 96 | Woodruff County | 11.3 | +1.1 pts |
| 110 | Baker County | 11.2 | +0.9 pts |
| 110 | Bell County | 11.2 | +0.7 pts |
| 110 | Chicot County | 11.2 | +0.4 pts |
| 110 | Coke County | 11.2 | +2.3 pts |
| 110 | Concho County | 11.2 | +1.8 pts |
| 110 | Conecuh County | 11.2 | +1.4 pts |
| 110 | Elliott County | 11.2 | +1.1 pts |
| 110 | Harlan County | 11.2 | +0.3 pts |
| 110 | Jewell County | 11.2 | +0.6 pts |
| 110 | McIntosh County | 11.2 | +1.2 pts |
| 110 | Mineral County | 11.2 | +1.1 pts |
| 110 | Pendleton County | 11.2 | -0.2 pts |
| 110 | Roscommon County | 11.2 | +0.5 pts |
| 110 | St. Clair County | 11.2 | +0.7 pts |
| 110 | Towner County | 11.2 | +1.5 pts |
| 125 | Alleghany County | 11.1 | +0.2 pts |
| 125 | Choctaw County | 11.1 | +1.3 pts |
| 125 | Cottle County | 11.1 | +0.7 pts |
| 125 | Desha County | 11.1 | +1 pts |
| 125 | Fayette County | 11.1 | +0.7 pts |
| 125 | Gila County | 11.1 | +1.3 pts |
| 125 | Grainger County | 11.1 | +1.9 pts |
| 125 | Hamilton County | 11.1 | +1.3 pts |
| 125 | Hocking County | 11.1 | +2.2 pts |
| 125 | Humphreys County | 11.1 | +0.8 pts |
| 125 | Indian River County | 11.1 | |
| 125 | Jackson County | 11.1 | +0.7 pts |
| 125 | Kimble County | 11.1 | +1.4 pts |
| 125 | Kiowa County | 11.1 | +1.8 pts |
| 125 | Meigs County | 11.1 | +1 pts |
| 125 | Phillips County | 11.1 | +0.8 pts |
| 125 | Scott County | 11.1 | +1.6 pts |
| 125 | Sharp County | 11.1 | 0 pts |
| 125 | Sheridan County | 11.1 | +1.4 pts |
| 125 | Towns County | 11.1 | +1.8 pts |
| 125 | Wilcox County | 11.1 | +1.2 pts |
| 146 | Ashley County | 11 | +1 pts |
| 146 | Braxton County | 11 | -0.3 pts |
| 146 | Cleburne County | 11 | +0.6 pts |
| 146 | Douglas County | 11 | +0.6 pts |
| 146 | Grant County | 11 | +2.5 pts |
| 146 | Green County | 11 | +0.8 pts |
| 146 | Leslie County | 11 | +0.6 pts |
| 146 | Marion County | 11 | |
| 146 | Pawnee County | 11 | +1.4 pts |
| 146 | Randolph County | 11 | +1.6 pts |
| 156 | Adams County | 10.9 | +1.3 pts |
| 156 | Boone County | 10.9 | +0.9 pts |
| 156 | Cleveland County | 10.9 | +1.8 pts |
| 156 | Dade County | 10.9 | +0.9 pts |
| 156 | Dimmit County | 10.9 | +1.2 pts |
| 156 | Fall River County | 10.9 | +0.9 pts |
| 156 | Fulton County | 10.9 | +1.3 pts |
| 156 | Grayson County | 10.9 | +1.7 pts |
| 156 | Gregory County | 10.9 | +1.6 pts |
| 156 | Hardy County | 10.9 | +0.5 pts |
| 156 | Iron County | 10.9 | +0.6 pts |
| 156 | Jackson County | 10.9 | +1.2 pts |
| 156 | Keya Paha County | 10.9 | +0.5 pts |
| 156 | Liberty County | 10.9 | +1.8 pts |
| 156 | Marion County | 10.9 | +0.9 pts |
| 156 | McCreary County | 10.9 | +1 pts |
| 156 | McMullen County | 10.9 | +0.9 pts |
| 156 | Morgan County | 10.9 | +0.6 pts |
| 156 | Nicholas County | 10.9 | +0.6 pts |
| 156 | Northampton County | 10.9 | +0.5 pts |
| 156 | Northumberland County | 10.9 | +1.1 pts |
| 156 | Presque Isle County | 10.9 | +0.7 pts |
| 156 | Reynolds County | 10.9 | +0.8 pts |
| 156 | Roberts County | 10.9 | +1.5 pts |
| 156 | Sequoyah County | 10.9 | +1.4 pts |
| 156 | Shannon County | 10.9 | +0.9 pts |
| 156 | Sullivan County | 10.9 | +1.7 pts |
| 156 | Tripp County | 10.9 | +1.6 pts |
| 156 | Worth County | 10.9 | +1.2 pts |
| 185 | Breckinridge County | 10.8 | +1.7 pts |
| 185 | Buchanan County | 10.8 | +0.9 pts |
| 185 | Clark County | 10.8 | +1.2 pts |
| 185 | Clay County | 10.8 | +1.3 pts |
| 185 | Decatur County | 10.8 | +1 pts |
| 185 | Iosco County | 10.8 | +0.4 pts |
| 185 | Jefferson County | 10.8 | +1 pts |
| 185 | Lake County | 10.8 | -0.8 pts |
| 185 | Llano County | 10.8 | +0.9 pts |
| 185 | Logan County | 10.8 | +1.7 pts |
| 185 | Marion County | 10.8 | +1.7 pts |
| 185 | Monroe County | 10.8 | +0.4 pts |
| 185 | Montmorency County | 10.8 | -0.2 pts |
| 185 | Nye County | 10.8 | +0.9 pts |
| 185 | Trigg County | 10.8 | +1.8 pts |
| 185 | Union County | 10.8 | +0.7 pts |
| 185 | Vinton County | 10.8 | +1.5 pts |
| 185 | Webster County | 10.8 | +0.7 pts |
| 185 | Yukon-Koyukuk Census Area | 10.8 | +1.3 pts |
| 204 | Adair County | 10.7 | +0.9 pts |
| 204 | Campbell County | 10.7 | +1.7 pts |
| 204 | Carroll County | 10.7 | +1.5 pts |
| 204 | Carroll County | 10.7 | +1.9 pts |
| 204 | Fannin County | 10.7 | +0.9 pts |
| 204 | Greenbrier County | 10.7 | +0.4 pts |
| 204 | Haskell County | 10.7 | +1.1 pts |
| 204 | Mariposa County | 10.7 | +2.3 pts |
| 204 | Martin County | 10.7 | +2.1 pts |
| 204 | Menifee County | 10.7 | +0.8 pts |
| 204 | Monroe County | 10.7 | +1 pts |
| 204 | Nevada County | 10.7 | +1.2 pts |
| 204 | Oregon County | 10.7 | -0.5 pts |
| 204 | Owsley County | 10.7 | +0.3 pts |
| 204 | Patrick County | 10.7 | +2 pts |
| 204 | Perry County | 10.7 | +0.7 pts |
| 204 | Polk County | 10.7 | +0.8 pts |
| 204 | Shoshone County | 10.7 | +1.7 pts |
| 204 | Sioux County | 10.7 | +1.4 pts |
| 204 | Tuscarawas County | 10.7 | +2.4 pts |
| 204 | Wetzel County | 10.7 | +0.6 pts |
| 225 | Bienville Parish | 10.6 | +0.4 pts |
| 225 | Butte County | 10.6 | +0.8 pts |
| 225 | Choctaw County | 10.6 | +0.8 pts |
| 225 | Cocke County | 10.6 | +0.9 pts |
| 225 | Dallas County | 10.6 | +1 pts |
| 225 | Dent County | 10.6 | +0.8 pts |
| 225 | Fayette County | 10.6 | +1.2 pts |
| 225 | Gogebic County | 10.6 | +1 pts |
| 225 | Grant County | 10.6 | +0.8 pts |
| 225 | Greenwood County | 10.6 | +1.1 pts |
| 225 | Henry County | 10.6 | +0.9 pts |
| 225 | Henry County | 10.6 | +2 pts |
| 225 | Iron County | 10.6 | +1.2 pts |
| 225 | Kimball County | 10.6 | +1.7 pts |
| 225 | Lancaster County | 10.6 | +1 pts |
| 225 | Levy County | 10.6 | |
| 225 | Marquette County | 10.6 | +2.2 pts |
| 225 | Mora County | 10.6 | +1.6 pts |
| 225 | Okfuskee County | 10.6 | +0.8 pts |
| 225 | Stonewall County | 10.6 | +1.5 pts |
| 225 | Upshur County | 10.6 | +0.8 pts |
| 225 | Van Buren County | 10.6 | +0.1 pts |
| 225 | Winston County | 10.6 | +1 pts |
| 248 | Adams County | 10.5 | +1.2 pts |
| 248 | Alexander County | 10.5 | +0.5 pts |
| 248 | Barbour County | 10.5 | +1.2 pts |
Other periods
About this ranking
Percentage of adults who have ever been told by a doctor, nurse or other health professional that they had angina or coronary heart disease. Model-based estimate for adults aged 18 and over from CDC PLACES. Crude prevalence, not age-adjusted.
US counties and cities (incorporated places of 10,000 or more). CDC PLACES combines Behavioral Risk Factor Surveillance System (BRFSS) answers with local population data through multilevel regression and poststratification, so a county or city value is a model estimate, not a survey count. The year is the BRFSS survey year, not the release year. CDC says the method does not support tracking change in a place over time, and each annual release can change the model, so values for different years are not strictly comparable. A state is missing in a year when its BRFSS data did not meet standards (Kentucky and Pennsylvania in 2023, Florida in 2021). Connecticut counties appear as its nine planning regions from 2022; its eight former counties are not served. City values for 2021 come from the 2023 release, built on 2010 Census place boundaries; later years use 2020 boundaries.
Every value in the ranking comes from the same publisher and the same period, so the counties are compared on one definition. Equal values share a rank.
How to cite
Centers for Disease Control and Prevention (CDC). PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh, h3ej-a9ec and later releases), coronary heart disease in adults, crude prevalence. https://www.cdc.gov/places/. Retrieved 2026-10-12. These data are available free from CDC. Use does not imply endorsement by CDC, ATSDR, HHS or the United States Government.
Citation styles
APA 7
Centers for Disease Control and Prevention. (2025). PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh, h3ej-a9ec and later releases), coronary heart disease in adults, crude prevalence (US counties by coronary heart disease in adults, local model estimate, 2022) [Data set]. Retrieved October 12, 2026, from https://www.cdc.gov/places/
MLA 9
PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh, h3ej-a9ec and later releases), coronary heart disease in adults, crude prevalence, US counties by coronary heart disease in adults, local model estimate, 2022. Centers for Disease Control and Prevention, 4 Dec. 2025, https://www.cdc.gov/places/. Invokely, https://invokely.ai/rankings/adult-coronary-heart-disease-rate-county-estimate/us-counties?period=2022. Accessed 12 Oct. 2026.
Chicago (author-date)
Centers for Disease Control and Prevention. 2025. PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh, h3ej-a9ec and later releases), coronary heart disease in adults, crude prevalence. US counties by coronary heart disease in adults, local model estimate, 2022. Dataset. Accessed October 12, 2026. https://www.cdc.gov/places/. Also distributed by Invokely, https://invokely.ai/rankings/adult-coronary-heart-disease-rate-county-estimate/us-counties?period=2022.
Harvard
Centers for Disease Control and Prevention (2025) PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh, h3ej-a9ec and later releases), coronary heart disease in adults, crude prevalence, US counties by coronary heart disease in adults, local model estimate, 2022 [Dataset]. Available at: https://www.cdc.gov/places/, via Invokely: https://invokely.ai/rankings/adult-coronary-heart-disease-rate-county-estimate/us-counties?period=2022 (Accessed: 12 October 2026).
BibTeX
@misc{centers_us_counties_by_coronary_2022,
author = {{Centers for Disease Control and Prevention}},
title = {{PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh, h3ej-a9ec and later releases), coronary heart disease in adults, crude prevalence: US counties by coronary heart disease in adults, local model estimate, 2022}},
year = {2025},
howpublished = {Data set},
url = {https://www.cdc.gov/places/},
urldate = {2026-10-12},
note = {Accessed via Invokely, https://invokely.ai/rankings/adult-coronary-heart-disease-rate-county-estimate/us-counties?period=2022. Publisher attribution: Centers for Disease Control and Prevention (CDC). PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh, h3ej-a9ec and later releases), coronary heart disease in adults, crude prevalence. https://www.cdc.gov/places/. Retrieved 2026-10-12. These data are available free from CDC. Use does not imply endorsement by CDC, ATSDR, HHS or the United States Government.},
}
RIS
TY - DATA
AU - Centers for Disease Control and Prevention
TI - PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh, h3ej-a9ec and later releases), coronary heart disease in adults, crude prevalence: US counties by coronary heart disease in adults, local model estimate, 2022
PY - 2025
DA - 2025/12/04
PB - Centers for Disease Control and Prevention
DB - Invokely
UR - https://www.cdc.gov/places/
L2 - https://invokely.ai/rankings/adult-coronary-heart-disease-rate-county-estimate/us-counties?period=2022
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/adult-coronary-heart-disease-rate-county-estimate/us-counties?period=2022.
N1 - Publisher attribution: Centers for Disease Control and Prevention (CDC). PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh, h3ej-a9ec and later releases), coronary heart disease in adults, crude prevalence. https://www.cdc.gov/places/. Retrieved 2026-10-12. These data are available free from CDC. Use does not imply endorsement by CDC, ATSDR, HHS or the United States Government.
ER -
Use this data in your AI agent
Invokely serves this figure to AI assistants through MCP and to code through a REST API, with the source and citation attached. Ask your assistant:
Rank US counties by coronary heart disease in adults, local model estimate using official data, and cite the source.
rank_places {"indicator":"adult_coronary_heart_disease_rate_modelled","level":"province","within":"United States","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=adult_coronary_heart_disease_rate_modelled&level=province&within=United%20States&limit=10
Questions
Which county has the highest coronary heart disease in adults, local model estimate?
La Paz County, with 14.9% in 2022, according to the Centers for Disease Control and Prevention.
Which county has the lowest coronary heart disease in adults, local model estimate?
Madison County, with 3.4% in 2022.
Where does this ranking come from?
Every value comes from one source and one period, so the places are comparable: Centers for Disease Control and Prevention, PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh, h3ej-a9ec and later releases), coronary heart disease in adults, crude prevalence. Retrieved 2026-10-12.
Coronary heart disease in adults, local model estimate: other rankings
- Counties in Texas
- Counties in South Dakota
- Counties in Wyoming
- Cities in Minnesota
- Cities in Colorado
- Cities in Nevada
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