Counties in South Dakota by physical inactivity in adults, local model estimate

Mellette County had the highest physical inactivity in adults, local model estimate of 66 counties in 2021, at 39.1%. Brookings County had the lowest, at 18.7%. The median was 25.1%. Source: the Centers for Disease Control and Prevention.

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Highest39.1Mellette County
Median25.166 counties

Map of counties, 2021

Aurora County: 24.7 %Beadle County: 28.2 %Bennett County: 30.8 %Bon Homme County: 25.7 %Brookings County: 18.7 %Brown County: 24.3 %Brule County: 26.8 %Buffalo County: 36.1 %Butte County: 27.5 %Campbell County: 24.2 %Charles Mix County: 29.5 %Clark County: 25.8 %Clay County: 20.1 %Codington County: 24.4 %Corson County: 36.1 %Custer County: 25.9 %Davison County: 25.9 %Day County: 27 %Deuel County: 23.2 %Dewey County: 35.8 %Douglas County: 25.3 %Edmunds County: 24.3 %Fall River County: 29.3 %Faulk County: 26.3 %Grant County: 23.9 %Gregory County: 28.3 %Haakon County: 28.4 %Hamlin County: 23.2 %Hand County: 23.2 %Hanson County: 22.7 %Harding County: 23.5 %Hughes County: 22.1 %Hutchinson County: 25 %Hyde County: 24.2 %Jackson County: 33.5 %Jerauld County: 25.2 %Jones County: 22.7 %Kingsbury County: 23.3 %Lake County: 22.8 %Lawrence County: 23.1 %Lincoln County: 19.6 %Lyman County: 29.2 %McCook County: 22.5 %McPherson County: 28.3 %Marshall County: 23 %Meade County: 22.3 %Mellette County: 39.1 %Miner County: 25.9 %Minnehaha County: 22.1 %Moody County: 23.4 %Oglala Lakota County: 38.1 %Pennington County: 23.6 %Perkins County: 26.1 %Potter County: 25.6 %Roberts County: 31.3 %Sanborn County: 25.9 %Spink County: 23.4 %Stanley County: 21.6 %Sully County: 23.6 %Todd County: 39.1 %Tripp County: 29.7 %Turner County: 24.4 %Union County: 21 %Walworth County: 26.2 %Yankton County: 23.3 %Ziebach County: 34.6 %
  • Under 23
  • 23 to 24
  • 24 to 25
  • 25 to 26
  • 26 to 30
  • 30 and over
%, 2021. Source: CDC, PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh, h3ej-a9ec and later releases), physical inactivity in adults, crude prevalence. Boundaries: U.S. Census Bureau cartographic boundary files.

Top 40 counties, 2021

Mellette County: 39.1 %Mellette County39.1Todd County: 39.1 %Todd County39.1Oglala Lakota County: 38.1 %Oglala Lakota County38.1Buffalo County: 36.1 %Buffalo County36.1Corson County: 36.1 %Corson County36.1Dewey County: 35.8 %Dewey County35.8Ziebach County: 34.6 %Ziebach County34.6Jackson County: 33.5 %Jackson County33.5Roberts County: 31.3 %Roberts County31.3Bennett County: 30.8 %Bennett County30.8Tripp County: 29.7 %Tripp County29.7Charles Mix County: 29.5 %Charles Mix County29.5Fall River County: 29.3 %Fall River County29.3Lyman County: 29.2 %Lyman County29.2Haakon County: 28.4 %Haakon County28.4Gregory County: 28.3 %Gregory County28.3McPherson County: 28.3 %McPherson County28.3Beadle County: 28.2 %Beadle County28.2Butte County: 27.5 %Butte County27.5Day County: 27 %Day County27Brule County: 26.8 %Brule County26.8Faulk County: 26.3 %Faulk County26.3Walworth County: 26.2 %Walworth County26.2Perkins County: 26.1 %Perkins County26.1Custer County: 25.9 %Custer County25.9Davison County: 25.9 %Davison County25.9Miner County: 25.9 %Miner County25.9Sanborn County: 25.9 %Sanborn County25.9Clark County: 25.8 %Clark County25.8Bon Homme County: 25.7 %Bon Homme County25.7Potter County: 25.6 %Potter County25.6Douglas County: 25.3 %Douglas County25.3Jerauld County: 25.2 %Jerauld County25.2Hutchinson County: 25 %Hutchinson County25Aurora County: 24.7 %Aurora County24.7Codington County: 24.4 %Codington County24.4Turner County: 24.4 %Turner County24.4Brown County: 24.3 %Brown County24.3Edmunds County: 24.3 %Edmunds County24.3Campbell County: 24.2 %Campbell County24.2Mellette County: 39.1 %Mellette County39.1Todd County: 39.1 %Todd County39.1Oglala Lakota County: 38.1 %Oglala Lakota County38.1Buffalo County: 36.1 %Buffalo County36.1Corson County: 36.1 %Corson County36.1Dewey County: 35.8 %Dewey County35.8Ziebach County: 34.6 %Ziebach County34.6Jackson County: 33.5 %Jackson County33.5Roberts County: 31.3 %Roberts County31.3Bennett County: 30.8 %Bennett County30.8Tripp County: 29.7 %Tripp County29.7Charles Mix County: 29.5 %Charles Mix County29.5Fall River County: 29.3 %Fall River County29.3Lyman County: 29.2 %Lyman County29.2Haakon County: 28.4 %Haakon County28.4Gregory County: 28.3 %Gregory County28.3McPherson County: 28.3 %McPherson County28.3Beadle County: 28.2 %Beadle County28.2Butte County: 27.5 %Butte County27.5Day County: 27 %Day County27Brule County: 26.8 %Brule County26.8Faulk County: 26.3 %Faulk County26.3Walworth County: 26.2 %Walworth County26.2Perkins County: 26.1 %Perkins County26.1Custer County: 25.9 %Custer County25.9Davison County: 25.9 %Davison County25.9Miner County: 25.9 %Miner County25.9Sanborn County: 25.9 %Sanborn County25.9Clark County: 25.8 %Clark County25.8Bon Homme County: 25.7 %Bon Homme County25.7Potter County: 25.6 %Potter County25.6Douglas County: 25.3 %Douglas County25.3Jerauld County: 25.2 %Jerauld County25.2Hutchinson County: 25 %Hutchinson County25Aurora County: 24.7 %Aurora County24.7Codington County: 24.4 %Codington County24.4Turner County: 24.4 %Turner County24.4Brown County: 24.3 %Brown County24.3Edmunds County: 24.3 %Edmunds County24.3Campbell County: 24.2 %Campbell County24.2
%. Source: CDC, 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.

Full ranking

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

The publisher is the author. Invokely is named only as the place the figures were read, where a style asks for it.

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 (Counties in South Dakota by physical inactivity in adults, local model estimate, 2021) [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, Counties in South Dakota by physical inactivity in adults, local model estimate, 2021. 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/south-dakota-counties?period=2021. 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. Counties in South Dakota by physical inactivity in adults, local model estimate, 2021. Dataset. Accessed October 12, 2026. https://www.cdc.gov/places/. Also distributed by Invokely, https://invokely.ai/rankings/adult-physical-inactivity-rate-county-estimate/south-dakota-counties?period=2021.

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, Counties in South Dakota by physical inactivity in adults, local model estimate, 2021 [Dataset]. Available at: https://www.cdc.gov/places/, via Invokely: https://invokely.ai/rankings/adult-physical-inactivity-rate-county-estimate/south-dakota-counties?period=2021 (Accessed: 12 October 2026).

BibTeX
@misc{centers_counties_in_south_dakota_2021,
  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: Counties in South Dakota by physical inactivity in adults, local model estimate, 2021}},
  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/south-dakota-counties?period=2021. 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: Counties in South Dakota by physical inactivity in adults, local model estimate, 2021
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/south-dakota-counties?period=2021
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/adult-physical-inactivity-rate-county-estimate/south-dakota-counties?period=2021.
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  - 
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Rank Counties in South Dakota by physical inactivity in adults, local model estimate using official data, and cite the source.
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Questions

Which county has the highest physical inactivity in adults, local model estimate?

Mellette County, with 39.1% in 2021, according to the Centers for Disease Control and Prevention.

Which county has the lowest physical inactivity in adults, local model estimate?

Brookings County, with 18.7% in 2021.

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 South Dakota: more rankings