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

Counties in Ohio by physical inactivity in adults, local model estimate

Lawrence County had the highest physical inactivity in adults, local model estimate of 88 counties in 2022, at 34%. Delaware County had the lowest, at 18.1%. The median was 28.4%. Source: the Centers for Disease Control and Prevention.

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Highest34Lawrence County
Lowest18.1Delaware County
Median28.488 counties

Map of counties, 2022

Adams County: 32.6 %Allen County: 31.9 %Ashland County: 30.2 %Ashtabula County: 28.3 %Athens County: 22.4 %Auglaize County: 24.3 %Belmont County: 32.3 %Brown County: 32.3 %Butler County: 25.8 %Carroll County: 31.4 %Champaign County: 27.2 %Clark County: 30.6 %Clermont County: 26.7 %Clinton County: 30.4 %Columbiana County: 29.7 %Coshocton County: 29.4 %Crawford County: 31.3 %Cuyahoga County: 23.1 %Darke County: 28.1 %Defiance County: 27.2 %Delaware County: 18.1 %Erie County: 26.7 %Fairfield County: 27.9 %Fayette County: 31.9 %Franklin County: 23.2 %Fulton County: 31.4 %Gallia County: 33.3 %Geauga County: 21.9 %Greene County: 22.8 %Guernsey County: 32.5 %Hamilton County: 27.1 %Hancock County: 24.2 %Hardin County: 31.3 %Harrison County: 30.3 %Henry County: 29.3 %Highland County: 32.8 %Hocking County: 33.5 %Holmes County: 33.1 %Huron County: 24.3 %Jackson County: 32.5 %Jefferson County: 27.8 %Knox County: 25.7 %Lake County: 26.7 %Lawrence County: 34 %Licking County: 25.4 %Logan County: 30.2 %Lorain County: 29.5 %Lucas County: 27.8 %Madison County: 27.9 %Mahoning County: 28.6 %Marion County: 28.2 %Medina County: 25.1 %Meigs County: 33 %Mercer County: 26.7 %Miami County: 22.7 %Monroe County: 31.7 %Montgomery County: 30.3 %Morgan County: 28.2 %Morrow County: 31.9 %Muskingum County: 28.6 %Noble County: 32.8 %Ottawa County: 26 %Paulding County: 30.8 %Perry County: 31.4 %Pickaway County: 26.3 %Pike County: 32.5 %Portage County: 23.4 %Preble County: 27.7 %Putnam County: 23 %Richland County: 27.7 %Ross County: 30.5 %Sandusky County: 29.8 %Scioto County: 31.4 %Seneca County: 29 %Shelby County: 26.7 %Stark County: 24.2 %Summit County: 23.8 %Trumbull County: 31.9 %Tuscarawas County: 32.2 %Union County: 20 %Van Wert County: 26 %Vinton County: 33.9 %Warren County: 21.9 %Washington County: 29.1 %Wayne County: 24.3 %Williams County: 28.5 %Wood County: 23.7 %Wyandot County: 27.1 %
  • Under 24
  • 24 to 27
  • 27 to 28
  • 28 to 30
  • 30 to 32
  • 32 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

Lawrence County: 34 %Lawrence County34Vinton County: 33.9 %Vinton County33.9Hocking County: 33.5 %Hocking County33.5Gallia County: 33.3 %Gallia County33.3Holmes County: 33.1 %Holmes County33.1Meigs County: 33 %Meigs County33Highland County: 32.8 %Highland County32.8Noble County: 32.8 %Noble County32.8Adams County: 32.6 %Adams County32.6Guernsey County: 32.5 %Guernsey County32.5Jackson County: 32.5 %Jackson County32.5Pike County: 32.5 %Pike County32.5Belmont County: 32.3 %Belmont County32.3Brown County: 32.3 %Brown County32.3Tuscarawas County: 32.2 %Tuscarawas County32.2Allen County: 31.9 %Allen County31.9Fayette County: 31.9 %Fayette County31.9Morrow County: 31.9 %Morrow County31.9Trumbull County: 31.9 %Trumbull County31.9Monroe County: 31.7 %Monroe County31.7Carroll County: 31.4 %Carroll County31.4Fulton County: 31.4 %Fulton County31.4Perry County: 31.4 %Perry County31.4Scioto County: 31.4 %Scioto County31.4Crawford County: 31.3 %Crawford County31.3Hardin County: 31.3 %Hardin County31.3Paulding County: 30.8 %Paulding County30.8Clark County: 30.6 %Clark County30.6Ross County: 30.5 %Ross County30.5Clinton County: 30.4 %Clinton County30.4Harrison County: 30.3 %Harrison County30.3Montgomery County: 30.3 %Montgomery County30.3Ashland County: 30.2 %Ashland County30.2Logan County: 30.2 %Logan County30.2Sandusky County: 29.8 %Sandusky County29.8Columbiana County: 29.7 %Columbiana County29.7Lorain County: 29.5 %Lorain County29.5Coshocton County: 29.4 %Coshocton County29.4Henry County: 29.3 %Henry County29.3Washington County: 29.1 %Washington County29.1Lawrence County: 34 %Lawrence County34Vinton County: 33.9 %Vinton County33.9Hocking County: 33.5 %Hocking County33.5Gallia County: 33.3 %Gallia County33.3Holmes County: 33.1 %Holmes County33.1Meigs County: 33 %Meigs County33Highland County: 32.8 %Highland County32.8Noble County: 32.8 %Noble County32.8Adams County: 32.6 %Adams County32.6Guernsey County: 32.5 %Guernsey County32.5Jackson County: 32.5 %Jackson County32.5Pike County: 32.5 %Pike County32.5Belmont County: 32.3 %Belmont County32.3Brown County: 32.3 %Brown County32.3Tuscarawas County: 32.2 %Tuscarawas County32.2Allen County: 31.9 %Allen County31.9Fayette County: 31.9 %Fayette County31.9Morrow County: 31.9 %Morrow County31.9Trumbull County: 31.9 %Trumbull County31.9Monroe County: 31.7 %Monroe County31.7Carroll County: 31.4 %Carroll County31.4Fulton County: 31.4 %Fulton County31.4Perry County: 31.4 %Perry County31.4Scioto County: 31.4 %Scioto County31.4Crawford County: 31.3 %Crawford County31.3Hardin County: 31.3 %Hardin County31.3Paulding County: 30.8 %Paulding County30.8Clark County: 30.6 %Clark County30.6Ross County: 30.5 %Ross County30.5Clinton County: 30.4 %Clinton County30.4Harrison County: 30.3 %Harrison County30.3Montgomery County: 30.3 %Montgomery County30.3Ashland County: 30.2 %Ashland County30.2Logan County: 30.2 %Logan County30.2Sandusky County: 29.8 %Sandusky County29.8Columbiana County: 29.7 %Columbiana County29.7Lorain County: 29.5 %Lorain County29.5Coshocton County: 29.4 %Coshocton County29.4Henry County: 29.3 %Henry County29.3Washington County: 29.1 %Washington County29.1
%. 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
1Lawrence County34+0.1 pts
2Vinton County33.9-1.8 pts
3Hocking County33.5+1.5 pts
4Gallia County33.3+0.7 pts
5Holmes County33.10 pts
6Meigs County33-3.7 pts
7Highland County32.8-1.7 pts
7Noble County32.8-1.1 pts
9Adams County32.6-1.4 pts
10Guernsey County32.5+0.4 pts
10Jackson County32.5-1.1 pts
10Pike County32.5-2 pts
13Belmont County32.3+1.2 pts
13Brown County32.3+0.7 pts
15Tuscarawas County32.2+0.5 pts
16Allen County31.9+0.2 pts
16Fayette County31.9-0.1 pts
16Morrow County31.9+2.1 pts
16Trumbull County31.9+0.2 pts
20Monroe County31.7-0.9 pts
21Carroll County31.4+1.3 pts
21Fulton County31.4+3.3 pts
21Perry County31.4-2.1 pts
21Scioto County31.4-3.7 pts
25Crawford County31.3+0.3 pts
25Hardin County31.3+2.3 pts
27Paulding County30.8+0.2 pts
28Clark County30.6+0.6 pts
29Ross County30.5-0.3 pts
30Clinton County30.4+0.2 pts
31Harrison County30.3-1.3 pts
31Montgomery County30.3+1.1 pts
33Ashland County30.2+1 pts
33Logan County30.2+0.4 pts
35Sandusky County29.8+1.4 pts
36Columbiana County29.7-1.4 pts
37Lorain County29.5+0.8 pts
38Coshocton County29.4-5.5 pts
39Henry County29.3+0.5 pts
40Washington County29.1-2.9 pts
41Seneca County29-1.6 pts
42Mahoning County28.6-4 pts
42Muskingum County28.6-5.3 pts
44Williams County28.5-1.4 pts
45Ashtabula County28.3-4.8 pts
46Marion County28.2-4.2 pts
46Morgan County28.2-7.3 pts
48Darke County28.1-0.2 pts
49Fairfield County27.9+2.2 pts
49Madison County27.9-1.2 pts
51Jefferson County27.8-3.9 pts
51Lucas County27.8-2.6 pts
53Preble County27.7-2 pts
53Richland County27.7-4.6 pts
55Champaign County27.2-1 pts
55Defiance County27.2-1.5 pts
57Hamilton County27.1+0.9 pts
57Wyandot County27.1-1 pts
59Clermont County26.7+0.8 pts
59Erie County26.7-2.9 pts
59Lake County26.7+0.3 pts
59Mercer County26.7-0.4 pts
59Shelby County26.7-2.4 pts
64Pickaway County26.3-2.5 pts
65Ottawa County26-1 pts
65Van Wert County26-4.5 pts
67Butler County25.8-1.8 pts
68Knox County25.7-2.9 pts
69Licking County25.4-0.8 pts
70Medina County25.1+0.5 pts
71Auglaize County24.3-2.5 pts
71Huron County24.3-7.8 pts
71Wayne County24.3-5.3 pts
74Hancock County24.2-1.7 pts
74Stark County24.2-2.8 pts
76Summit County23.8-3.4 pts
77Wood County23.7-1 pts
78Portage County23.4-2.7 pts
79Franklin County23.2-1.9 pts
80Cuyahoga County23.1-2.4 pts
81Putnam County23-1 pts
82Greene County22.8-2.7 pts
83Miami County22.7-3.1 pts
84Athens County22.4-4.8 pts
85Geauga County21.9-1.7 pts
85Warren County21.9+0.3 pts
87Union County20-3.2 pts
88Delaware County18.1-1.1 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 Ohio 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 Ohio 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/ohio-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 Ohio 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/ohio-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 Ohio 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/ohio-counties?period=2022 (Accessed: 12 October 2026).

BibTeX
@misc{centers_counties_in_ohio_by_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 Ohio 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/ohio-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 Ohio 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/ohio-counties?period=2022
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/adult-physical-inactivity-rate-county-estimate/ohio-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 Ohio 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?

Lawrence County, with 34% in 2022, according to the Centers for Disease Control and Prevention.

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

Delaware County, with 18.1% 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 Ohio: more rankings