US counties by physical inactivity in adults, local model estimate
Kenedy County had the highest physical inactivity in adults, local model estimate of 3144 counties in 2022, at 49.3%. Douglas County had the lowest, at 12.2%. The median was 27.4%. 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 | Kenedy County | 49.3 | +11.8 pts |
| 2 | Dimmit County | 47.5 | +1.5 pts |
| 3 | Zapata County | 46.7 | +4.3 pts |
| 4 | Humphreys County | 45.6 | +1.9 pts |
| 5 | Presidio County | 45.5 | -0.4 pts |
| 5 | Sharkey County | 45.5 | +5 pts |
| 7 | Tensas Parish | 44.7 | +2.6 pts |
| 8 | Randolph County | 44.3 | +2.1 pts |
| 9 | Phillips County | 43.6 | +1.6 pts |
| 10 | Starr County | 43.3 | +0.7 pts |
| 11 | Leflore County | 43.2 | +2 pts |
| 12 | Zavala County | 43 | +1.6 pts |
| 13 | Holmes County | 42.8 | +0.7 pts |
| 14 | Sioux County | 42.7 | +2.2 pts |
| 15 | Wilcox County | 42.6 | -3.4 pts |
| 16 | Coahoma County | 42.5 | +2.6 pts |
| 17 | Desha County | 42.4 | -0.4 pts |
| 17 | Jim Hogg County | 42.4 | +2.3 pts |
| 17 | Macon County | 42.4 | +6.1 pts |
| 20 | Tunica County | 42.3 | +2.3 pts |
| 21 | Greene County | 42.1 | -6.1 pts |
| 21 | Lafayette County | 42.1 | -0.5 pts |
| 23 | East Carroll Parish | 42 | -5.6 pts |
| 23 | Hudspeth County | 42 | -0.1 pts |
| 25 | Claiborne Parish | 41.8 | +1.2 pts |
| 26 | McDowell County | 41.7 | -1.9 pts |
| 27 | Fulton County | 41.4 | +4.1 pts |
| 28 | Monroe County | 41.3 | +0.5 pts |
| 29 | Cameron County | 41.2 | +5.7 pts |
| 29 | Chicot County | 41.2 | -0.7 pts |
| 31 | Bullock County | 41 | -3.9 pts |
| 32 | Calhoun County | 40.9 | +2.2 pts |
| 32 | Cochran County | 40.9 | +0.7 pts |
| 32 | Lee County | 40.9 | -1.4 pts |
| 32 | Maverick County | 40.9 | +1.7 pts |
| 32 | Quitman County | 40.9 | -2.8 pts |
| 37 | Montgomery County | 40.8 | +3 pts |
| 37 | St. Francis County | 40.8 | -1.3 pts |
| 39 | La Salle County | 40.3 | +4.8 pts |
| 39 | Madison Parish | 40.3 | +0.4 pts |
| 39 | Wyoming County | 40.3 | +4.7 pts |
| 42 | Wolfe County | 40.2 | -3.3 pts |
| 43 | Deaf Smith County | 40.1 | +5.6 pts |
| 44 | Mingo County | 40 | +1.2 pts |
| 45 | Willacy County | 39.8 | -0.3 pts |
| 46 | Bienville Parish | 39.7 | -0.1 pts |
| 46 | Dillon County | 39.7 | +3.3 pts |
| 46 | Hancock County | 39.7 | +0.5 pts |
| 46 | Pocahontas County | 39.7 | +5.3 pts |
| 50 | Jefferson County | 39.6 | +0.2 pts |
| 51 | Duval County | 39.5 | +1.6 pts |
| 51 | Edwards County | 39.5 | +2.5 pts |
| 51 | Perry County | 39.5 | -7 pts |
| 54 | Brooks County | 39.4 | -1.9 pts |
| 54 | Sunflower County | 39.4 | +1.4 pts |
| 56 | Le Flore County | 39.3 | +4 pts |
| 56 | Mississippi County | 39.3 | +1.6 pts |
| 56 | Morehouse Parish | 39.3 | +0.5 pts |
| 59 | Amite County | 39.2 | +0.4 pts |
| 59 | Logan County | 39.2 | +1.7 pts |
| 59 | McCurtain County | 39.2 | +2.3 pts |
| 62 | Briscoe County | 39.1 | +5.7 pts |
| 62 | Pushmataha County | 39.1 | +4 pts |
| 62 | Wilkinson County | 39.1 | -1.7 pts |
| 65 | Hidalgo County | 39 | +5.6 pts |
| 66 | Culberson County | 38.9 | -2.1 pts |
| 66 | Wirt County | 38.9 | +6 pts |
| 68 | Chickasaw County | 38.8 | +1.2 pts |
| 68 | Kusilvak Census Area | 38.8 | -0.4 pts |
| 68 | Okfuskee County | 38.8 | +0.9 pts |
| 68 | Ritchie County | 38.8 | +4.2 pts |
| 68 | Searcy County | 38.8 | +1.2 pts |
| 73 | Lowndes County | 38.7 | -4.9 pts |
| 74 | Kiowa County | 38.6 | +5 pts |
| 74 | Mississippi County | 38.6 | +2.4 pts |
| 76 | Carroll County | 38.5 | +4.1 pts |
| 76 | Marlboro County | 38.5 | -0.1 pts |
| 78 | Ashley County | 38.4 | -1.6 pts |
| 78 | Evangeline Parish | 38.4 | -0.5 pts |
| 78 | Johnson County | 38.4 | +0.9 pts |
| 78 | Noxubee County | 38.4 | -1.2 pts |
| 78 | Scott County | 38.4 | +0.4 pts |
| 78 | Tallahatchie County | 38.4 | +0.9 pts |
| 84 | Magoffin County | 38.3 | -2.2 pts |
| 84 | Yazoo County | 38.3 | -0.5 pts |
| 86 | Arkansas County | 38.2 | +4 pts |
| 86 | Floyd County | 38.2 | +6.2 pts |
| 86 | Madison County | 38.2 | |
| 86 | Panola County | 38.2 | +2.3 pts |
| 86 | Van Buren County | 38.2 | +1.8 pts |
| 91 | Craig County | 38.1 | +4.4 pts |
| 92 | Calhoun County | 38 | +2.5 pts |
| 92 | Coal County | 38 | +1.8 pts |
| 92 | Grant County | 38 | +7.4 pts |
| 92 | Haywood County | 38 | -1.3 pts |
| 92 | Ozark County | 38 | +0.6 pts |
| 92 | Sequoyah County | 38 | +2 pts |
| 98 | Concordia Parish | 37.9 | -3.9 pts |
| 98 | Dallas County | 37.9 | +1.6 pts |
| 98 | Jenkins County | 37.9 | +1.4 pts |
| 98 | Perry County | 37.9 | +3.4 pts |
| 98 | Telfair County | 37.9 | -1.2 pts |
| 98 | Woodruff County | 37.9 | +0.5 pts |
| 104 | Grenada County | 37.8 | +4.4 pts |
| 104 | Hancock County | 37.8 | -1 pts |
| 104 | Hughes County | 37.8 | +2.8 pts |
| 104 | Latimer County | 37.8 | +3.7 pts |
| 108 | Adair County | 37.7 | -1 pts |
| 108 | Avoyelles Parish | 37.7 | +0.3 pts |
| 108 | Cleveland County | 37.7 | +4.4 pts |
| 108 | Lee County | 37.7 | -3.6 pts |
| 108 | Neshoba County | 37.7 | +0.5 pts |
| 108 | Poinsett County | 37.7 | +0.2 pts |
| 114 | Jackson County | 37.6 | +0.3 pts |
| 114 | Jefferson County | 37.6 | +2.6 pts |
| 114 | Jefferson Davis County | 37.6 | -0.3 pts |
| 114 | Newton County | 37.6 | +3.4 pts |
| 118 | Frio County | 37.5 | +0.9 pts |
| 118 | Lincoln County | 37.5 | +0.9 pts |
| 118 | Martin County | 37.5 | +1 pts |
| 121 | Claiborne County | 37.4 | -2.3 pts |
| 121 | King County | 37.4 | +3.5 pts |
| 121 | Lawrence County | 37.4 | +1.8 pts |
| 121 | McMullen County | 37.4 | +2.9 pts |
| 125 | Clinch County | 37.3 | -0.7 pts |
| 125 | Reeves County | 37.3 | +1.7 pts |
| 125 | Terrell County | 37.3 | 0 pts |
| 128 | Nevada County | 37.2 | +0.1 pts |
| 128 | San Augustine County | 37.2 | +1.4 pts |
| 128 | Sharp County | 37.2 | -0.1 pts |
| 128 | Taylor County | 37.2 | -0.3 pts |
| 132 | Ben Hill County | 37.1 | +2.5 pts |
| 132 | Fayette County | 37.1 | +2.3 pts |
| 132 | Franklin County | 37.1 | 0 pts |
| 132 | Pickett County | 37.1 | +1.4 pts |
| 132 | Terry County | 37.1 | +1.1 pts |
| 132 | Wayne County | 37.1 | -0.8 pts |
| 138 | Boone County | 37 | +3.3 pts |
| 138 | Bradley County | 37 | -1 pts |
| 138 | Calhoun County | 37 | +1 pts |
| 138 | Casey County | 37 | -1.9 pts |
| 138 | Fulton County | 37 | -0.6 pts |
| 138 | Harlan County | 37 | -2.9 pts |
| 138 | Red River Parish | 37 | +0.8 pts |
| 145 | Choctaw County | 36.9 | -3 pts |
| 145 | Conway County | 36.9 | +2.8 pts |
| 145 | Jefferson County | 36.9 | +0.5 pts |
| 145 | Marion County | 36.9 | -0.7 pts |
| 145 | Pike County | 36.9 | -0.4 pts |
| 145 | Russell County | 36.9 | +3 pts |
| 145 | Sutton County | 36.9 | +4.2 pts |
| 145 | Yell County | 36.9 | -1.3 pts |
| 153 | Brooks County | 36.8 | +1.8 pts |
| 153 | Webster Parish | 36.8 | -1.5 pts |
| 155 | Franklin Parish | 36.7 | -1.4 pts |
| 155 | Hardee County | 36.7 | |
| 155 | Jim Wells County | 36.7 | +0.7 pts |
| 155 | Lake County | 36.7 | -1.3 pts |
| 155 | Lawrence County | 36.7 | +3.5 pts |
| 155 | McIntosh County | 36.7 | +0.6 pts |
| 155 | Roane County | 36.7 | +1.7 pts |
| 155 | St. Mary Parish | 36.7 | +0.3 pts |
| 155 | Upton County | 36.7 | +4.7 pts |
| 164 | Attala County | 36.6 | +1.4 pts |
| 164 | Bronx County | 36.6 | +0.5 pts |
| 164 | Buffalo County | 36.6 | +0.5 pts |
| 164 | Choctaw County | 36.6 | -0.6 pts |
| 164 | Clay County | 36.6 | +0.1 pts |
| 164 | Decatur County | 36.6 | +2.5 pts |
| 164 | Jackson County | 36.6 | -2.7 pts |
| 164 | Turner County | 36.6 | +1 pts |
| 172 | Glades County | 36.5 | |
| 172 | Macon County | 36.5 | -1.9 pts |
| 172 | Smith County | 36.5 | +3.2 pts |
| 172 | Stewart County | 36.5 | +1.6 pts |
| 172 | Stone County | 36.5 | -2.3 pts |
| 177 | Colquitt County | 36.4 | +0.4 pts |
| 177 | Hinds County | 36.4 | +3.8 pts |
| 177 | Issaquena County | 36.4 | -4 pts |
| 177 | Webster County | 36.4 | -2.1 pts |
| 177 | Yalobusha County | 36.4 | +1.5 pts |
| 177 | Yoakum County | 36.4 | +5.7 pts |
| 183 | Barbour County | 36.3 | -5.4 pts |
| 183 | Caddo County | 36.3 | +1.6 pts |
| 183 | Clay County | 36.3 | -1.1 pts |
| 183 | Cottle County | 36.3 | +2.1 pts |
| 183 | Dallas County | 36.3 | -3.4 pts |
| 183 | Hampton County | 36.3 | -0.1 pts |
| 183 | Lee County | 36.3 | +2.8 pts |
| 183 | Lincoln County | 36.3 | +1 pts |
| 183 | Upshur County | 36.3 | +3.3 pts |
| 192 | Butler County | 36.2 | -2.2 pts |
| 192 | Crosby County | 36.2 | +0.4 pts |
| 192 | Fairfield County | 36.2 | +1.2 pts |
| 192 | Moore County | 36.2 | +4 pts |
| 192 | Tillman County | 36.2 | -0.4 pts |
| 197 | Johnson County | 36.1 | +0.7 pts |
| 197 | Leake County | 36.1 | +2.1 pts |
| 197 | Lewis County | 36.1 | -4.1 pts |
| 197 | Luna County | 36.1 | +2.6 pts |
| 197 | Randolph County | 36.1 | +0.1 pts |
| 197 | Richland Parish | 36.1 | -0.7 pts |
| 197 | St. Helena Parish | 36.1 | -2.1 pts |
| 197 | Treutlen County | 36.1 | 0 pts |
| 205 | Conecuh County | 36 | -4.3 pts |
| 205 | Dixie County | 36 | |
| 205 | Green County | 36 | -0.4 pts |
| 205 | Knott County | 36 | -4.8 pts |
| 205 | Seminole County | 36 | 0 pts |
| 205 | Wyandotte County | 36 | +0.5 pts |
| 211 | Breckinridge County | 35.9 | +2.7 pts |
| 211 | Candler County | 35.9 | +0.4 pts |
| 211 | Cocke County | 35.9 | +0.2 pts |
| 211 | Grainger County | 35.9 | +1.4 pts |
| 211 | Hamilton County | 35.9 | |
| 211 | Newton County | 35.9 | +3.7 pts |
| 211 | Sumter County | 35.9 | -4.8 pts |
| 211 | White County | 35.9 | +3.9 pts |
| 219 | Crittenden County | 35.8 | -0.1 pts |
| 219 | DeKalb County | 35.8 | -0.4 pts |
| 219 | Evans County | 35.8 | +1.8 pts |
| 219 | Hickory County | 35.8 | +0.2 pts |
| 219 | Madison County | 35.8 | +1.6 pts |
| 219 | Marshall County | 35.8 | +0.9 pts |
| 219 | Miller County | 35.8 | +4.1 pts |
| 219 | Walker County | 35.8 | -0.6 pts |
| 219 | Williamsburg County | 35.8 | +2.6 pts |
| 228 | Adams County | 35.7 | -2.7 pts |
| 228 | Chambers County | 35.7 | -1.1 pts |
| 228 | Grant County | 35.7 | +1.4 pts |
| 228 | Hendry County | 35.7 | |
| 228 | Jackson Parish | 35.7 | +1.7 pts |
| 228 | McCreary County | 35.7 | -3.7 pts |
| 228 | Mitchell County | 35.7 | 0 pts |
| 228 | St. Landry Parish | 35.7 | -0.2 pts |
| 236 | Concho County | 35.6 | +3.9 pts |
| 236 | Dawson County | 35.6 | -2 pts |
| 236 | Fayette County | 35.6 | +2.6 pts |
| 236 | Hale County | 35.6 | +2.9 pts |
| 236 | Haskell County | 35.6 | +0.9 pts |
| 236 | Lamb County | 35.6 | +0.3 pts |
| 236 | Lauderdale County | 35.6 | -2.4 pts |
| 236 | Limestone County | 35.6 | +4.3 pts |
| 236 | Marshall County | 35.6 | +0.7 pts |
| 236 | Real County | 35.6 | +1.2 pts |
| 236 | Taliaferro County | 35.6 | -1.1 pts |
| 236 | West Carroll Parish | 35.6 | +0.5 pts |
| 248 | Allendale County | 35.5 | -2.7 pts |
| 248 | Miller County | 35.5 | +2.3 pts |
| 248 | Ottawa County | 35.5 | +0.5 pts |
Other periods
About this ranking
Percentage of adults who did no physical activity or exercise outside their regular job in the past month, such as running, golf, gardening or walking for exercise. 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), physical inactivity 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), physical inactivity in adults, crude prevalence (US counties by physical inactivity 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), physical inactivity in adults, crude prevalence, US counties by physical inactivity 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-physical-inactivity-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), physical inactivity in adults, crude prevalence. US counties by physical inactivity 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-physical-inactivity-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), physical inactivity in adults, crude prevalence, US counties by physical inactivity in adults, local model estimate, 2022 [Dataset]. Available at: https://www.cdc.gov/places/, via Invokely: https://invokely.ai/rankings/adult-physical-inactivity-rate-county-estimate/us-counties?period=2022 (Accessed: 12 October 2026).
BibTeX
@misc{centers_us_counties_by_physical_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), physical inactivity in adults, crude prevalence: US counties by physical inactivity 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-physical-inactivity-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), physical inactivity 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), physical inactivity in adults, crude prevalence: US counties by physical inactivity 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-physical-inactivity-rate-county-estimate/us-counties?period=2022
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/adult-physical-inactivity-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), physical inactivity 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
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Rank US counties by physical inactivity in adults, local model estimate using official data, and cite the source.
rank_places {"indicator":"adult_physical_inactivity_rate_modelled","level":"province","within":"United States","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=adult_physical_inactivity_rate_modelled&level=province&within=United%20States&limit=10
Questions
Which county has the highest physical inactivity in adults, local model estimate?
Kenedy County, with 49.3% in 2022, according to the Centers for Disease Control and Prevention.
Which county has the lowest physical inactivity in adults, local model estimate?
Douglas County, with 12.2% 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), physical inactivity in adults, crude prevalence. Retrieved 2026-10-12.
Physical inactivity in adults, local model estimate: other rankings
- Counties in Vermont
- Counties in Maine
- Counties in Utah
- Cities in New Mexico
- Cities in Mississippi
- Cities in Texas
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