Data / Rankings / Physical inactivity in adults, local model estimate / Counties in South Dakota

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

Buffalo County had the highest physical inactivity in adults, local model estimate of 66 counties in 2022, at 36.6%. Lincoln County had the lowest, at 17.4%. The median was 24.9%. Source: the Centers for Disease Control and Prevention.

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Highest36.6Buffalo County
Lowest17.4Lincoln County
Median24.966 counties

Map of counties, 2022

Aurora County: 24.5 %Beadle County: 30.5 %Bennett County: 27.9 %Bon Homme County: 25.1 %Brookings County: 19.3 %Brown County: 23.4 %Brule County: 26.5 %Buffalo County: 36.6 %Butte County: 25 %Campbell County: 26 %Charles Mix County: 26.8 %Clark County: 24.9 %Clay County: 21.3 %Codington County: 26.4 %Corson County: 34 %Custer County: 25.4 %Davison County: 27 %Day County: 27 %Deuel County: 26 %Dewey County: 31.1 %Douglas County: 25.4 %Edmunds County: 22.5 %Fall River County: 27.6 %Faulk County: 27.5 %Grant County: 23.7 %Gregory County: 29 %Haakon County: 25.7 %Hamlin County: 22.1 %Hand County: 22.9 %Hanson County: 21.6 %Harding County: 20.3 %Hughes County: 20.5 %Hutchinson County: 23 %Hyde County: 23 %Jackson County: 32.1 %Jerauld County: 26.4 %Jones County: 22.5 %Kingsbury County: 24.9 %Lake County: 20.9 %Lawrence County: 21.9 %Lincoln County: 17.4 %Lyman County: 30.8 %McCook County: 22.6 %McPherson County: 26.1 %Marshall County: 22.7 %Meade County: 20.7 %Mellette County: 32.1 %Miner County: 27.2 %Minnehaha County: 21 %Moody County: 24.3 %Oglala Lakota County: 33.8 %Pennington County: 22.6 %Perkins County: 19.9 %Potter County: 24.2 %Roberts County: 30.9 %Sanborn County: 23.3 %Spink County: 24.6 %Stanley County: 23.2 %Sully County: 23.8 %Todd County: 35.5 %Tripp County: 31 %Turner County: 22.5 %Union County: 21.2 %Walworth County: 26.3 %Yankton County: 22.4 %Ziebach County: 33.8 %
  • Under 22
  • 22 to 23
  • 23 to 25
  • 25 to 26
  • 26 to 31
  • 31 and over
%, 2022. 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, 2022

Buffalo County: 36.6 %Buffalo County36.6Todd County: 35.5 %Todd County35.5Corson County: 34 %Corson County34Oglala Lakota County: 33.8 %Oglala Lakota County33.8Ziebach County: 33.8 %Ziebach County33.8Jackson County: 32.1 %Jackson County32.1Mellette County: 32.1 %Mellette County32.1Dewey County: 31.1 %Dewey County31.1Tripp County: 31 %Tripp County31Roberts County: 30.9 %Roberts County30.9Lyman County: 30.8 %Lyman County30.8Beadle County: 30.5 %Beadle County30.5Gregory County: 29 %Gregory County29Bennett County: 27.9 %Bennett County27.9Fall River County: 27.6 %Fall River County27.6Faulk County: 27.5 %Faulk County27.5Miner County: 27.2 %Miner County27.2Davison County: 27 %Davison County27Day County: 27 %Day County27Charles Mix County: 26.8 %Charles Mix County26.8Brule County: 26.5 %Brule County26.5Codington County: 26.4 %Codington County26.4Jerauld County: 26.4 %Jerauld County26.4Walworth County: 26.3 %Walworth County26.3McPherson County: 26.1 %McPherson County26.1Campbell County: 26 %Campbell County26Deuel County: 26 %Deuel County26Haakon County: 25.7 %Haakon County25.7Custer County: 25.4 %Custer County25.4Douglas County: 25.4 %Douglas County25.4Bon Homme County: 25.1 %Bon Homme County25.1Butte County: 25 %Butte County25Clark County: 24.9 %Clark County24.9Kingsbury County: 24.9 %Kingsbury County24.9Spink County: 24.6 %Spink County24.6Aurora County: 24.5 %Aurora County24.5Moody County: 24.3 %Moody County24.3Potter County: 24.2 %Potter County24.2Sully County: 23.8 %Sully County23.8Grant County: 23.7 %Grant County23.7Buffalo County: 36.6 %Buffalo County36.6Todd County: 35.5 %Todd County35.5Corson County: 34 %Corson County34Oglala Lakota County: 33.8 %Oglala Lakota County33.8Ziebach County: 33.8 %Ziebach County33.8Jackson County: 32.1 %Jackson County32.1Mellette County: 32.1 %Mellette County32.1Dewey County: 31.1 %Dewey County31.1Tripp County: 31 %Tripp County31Roberts County: 30.9 %Roberts County30.9Lyman County: 30.8 %Lyman County30.8Beadle County: 30.5 %Beadle County30.5Gregory County: 29 %Gregory County29Bennett County: 27.9 %Bennett County27.9Fall River County: 27.6 %Fall River County27.6Faulk County: 27.5 %Faulk County27.5Miner County: 27.2 %Miner County27.2Davison County: 27 %Davison County27Day County: 27 %Day County27Charles Mix County: 26.8 %Charles Mix County26.8Brule County: 26.5 %Brule County26.5Codington County: 26.4 %Codington County26.4Jerauld County: 26.4 %Jerauld County26.4Walworth County: 26.3 %Walworth County26.3McPherson County: 26.1 %McPherson County26.1Campbell County: 26 %Campbell County26Deuel County: 26 %Deuel County26Haakon County: 25.7 %Haakon County25.7Custer County: 25.4 %Custer County25.4Douglas County: 25.4 %Douglas County25.4Bon Homme County: 25.1 %Bon Homme County25.1Butte County: 25 %Butte County25Clark County: 24.9 %Clark County24.9Kingsbury County: 24.9 %Kingsbury County24.9Spink County: 24.6 %Spink County24.6Aurora County: 24.5 %Aurora County24.5Moody County: 24.3 %Moody County24.3Potter County: 24.2 %Potter County24.2Sully County: 23.8 %Sully County23.8Grant County: 23.7 %Grant County23.7
%. 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

RankCounties2022 (%)Change on 2021
1Buffalo County36.6+0.5 pts
2Todd County35.5-3.6 pts
3Corson County34-2.1 pts
4Oglala Lakota County33.8-4.3 pts
4Ziebach County33.8-0.8 pts
6Jackson County32.1-1.4 pts
6Mellette County32.1-7 pts
8Dewey County31.1-4.7 pts
9Tripp County31+1.3 pts
10Roberts County30.9-0.4 pts
11Lyman County30.8+1.6 pts
12Beadle County30.5+2.3 pts
13Gregory County29+0.7 pts
14Bennett County27.9-2.9 pts
15Fall River County27.6-1.7 pts
16Faulk County27.5+1.2 pts
17Miner County27.2+1.3 pts
18Davison County27+1.1 pts
18Day County270 pts
20Charles Mix County26.8-2.7 pts
21Brule County26.5-0.3 pts
22Codington County26.4+2 pts
22Jerauld County26.4+1.2 pts
24Walworth County26.3+0.1 pts
25McPherson County26.1-2.2 pts
26Campbell County26+1.8 pts
26Deuel County26+2.8 pts
28Haakon County25.7-2.7 pts
29Custer County25.4-0.5 pts
29Douglas County25.4+0.1 pts
31Bon Homme County25.1-0.6 pts
32Butte County25-2.5 pts
33Clark County24.9-0.9 pts
33Kingsbury County24.9+1.6 pts
35Spink County24.6+1.2 pts
36Aurora County24.5-0.2 pts
37Moody County24.3+0.9 pts
38Potter County24.2-1.4 pts
39Sully County23.8+0.2 pts
40Grant County23.7-0.2 pts
41Brown County23.4-0.9 pts
42Sanborn County23.3-2.6 pts
43Stanley County23.2+1.6 pts
44Hutchinson County23-2 pts
44Hyde County23-1.2 pts
46Hand County22.9-0.3 pts
47Marshall County22.7-0.3 pts
48McCook County22.6+0.1 pts
48Pennington County22.6-1 pts
50Edmunds County22.5-1.8 pts
50Jones County22.5-0.2 pts
50Turner County22.5-1.9 pts
53Yankton County22.4-0.9 pts
54Hamlin County22.1-1.1 pts
55Lawrence County21.9-1.2 pts
56Hanson County21.6-1.1 pts
57Clay County21.3+1.2 pts
58Union County21.2+0.2 pts
59Minnehaha County21-1.1 pts
60Lake County20.9-1.9 pts
61Meade County20.7-1.6 pts
62Hughes County20.5-1.6 pts
63Harding County20.3-3.2 pts
64Perkins County19.9-6.2 pts
65Brookings County19.3+0.6 pts
66Lincoln County17.4-2.2 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

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, 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, Counties in South Dakota 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/south-dakota-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. Counties in South Dakota 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/south-dakota-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, Counties in South Dakota 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/south-dakota-counties?period=2022 (Accessed: 12 October 2026).

BibTeX
@misc{centers_counties_in_south_dakota_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: Counties in South Dakota 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/south-dakota-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: Counties in South Dakota 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/south-dakota-counties?period=2022
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/adult-physical-inactivity-rate-county-estimate/south-dakota-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  -
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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?

Buffalo County, with 36.6% in 2022, according to the Centers for Disease Control and Prevention.

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

Lincoln County, with 17.4% 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), 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