Counties in Ohio by high cholesterol in screened adults, local model estimate, 2023

Noble County had the highest high cholesterol in screened adults, local model estimate of 88 counties in 2023, at 43.7%. Athens County had the lowest, at 33%. The median was 37.9%. Source: the Centers for Disease Control and Prevention.

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Highest43.7Noble County
Median37.988 counties

Map of counties, 2023

Adams County: 39.3 %Allen County: 37.5 %Ashland County: 38.3 %Ashtabula County: 39.4 %Athens County: 33 %Auglaize County: 37.5 %Belmont County: 41.1 %Brown County: 40.2 %Butler County: 35 %Carroll County: 40.6 %Champaign County: 37.5 %Clark County: 40.2 %Clermont County: 36.9 %Clinton County: 37.7 %Columbiana County: 38.4 %Coshocton County: 40 %Crawford County: 38.2 %Cuyahoga County: 38.2 %Darke County: 39.8 %Defiance County: 36.7 %Delaware County: 34.2 %Erie County: 39 %Fairfield County: 37.2 %Fayette County: 40.6 %Franklin County: 33.5 %Fulton County: 39 %Gallia County: 40.2 %Geauga County: 37.8 %Greene County: 36.7 %Guernsey County: 40.1 %Hamilton County: 34.3 %Hancock County: 36.2 %Hardin County: 36 %Harrison County: 41.3 %Henry County: 37.8 %Highland County: 39.6 %Hocking County: 38.8 %Holmes County: 36.1 %Huron County: 36.5 %Jackson County: 41.3 %Jefferson County: 38.4 %Knox County: 37.6 %Lake County: 36.3 %Lawrence County: 39.9 %Licking County: 37.1 %Logan County: 37.9 %Lorain County: 38.7 %Lucas County: 35.8 %Madison County: 36.2 %Mahoning County: 37.8 %Marion County: 38.8 %Medina County: 38.3 %Meigs County: 40.8 %Mercer County: 38 %Miami County: 37.4 %Monroe County: 40.7 %Montgomery County: 33.6 %Morgan County: 40.7 %Morrow County: 38.3 %Muskingum County: 40.3 %Noble County: 43.7 %Ottawa County: 42.5 %Paulding County: 39.4 %Perry County: 39.1 %Pickaway County: 36.4 %Pike County: 39.2 %Portage County: 35.6 %Preble County: 37.8 %Putnam County: 36.7 %Richland County: 37.8 %Ross County: 37.9 %Sandusky County: 38.4 %Scioto County: 38.7 %Seneca County: 36.7 %Shelby County: 37.2 %Stark County: 38.6 %Summit County: 37.3 %Trumbull County: 39.2 %Tuscarawas County: 36.4 %Union County: 34.6 %Van Wert County: 36.7 %Vinton County: 39.9 %Warren County: 35.2 %Washington County: 37.8 %Wayne County: 37.1 %Williams County: 38.5 %Wood County: 33.7 %Wyandot County: 37.1 %
  • Under 36
  • 36 to 37
  • 37 to 38
  • 38 to 39
  • 39 to 40
  • 40 and over
%, 2023. Source: CDC, PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh and later releases), high cholesterol in screened adults, crude prevalence. Boundaries: U.S. Census Bureau cartographic boundary files.

Top 40 counties, 2023

Noble County: 43.7 %Noble County43.7Ottawa County: 42.5 %Ottawa County42.5Harrison County: 41.3 %Harrison County41.3Jackson County: 41.3 %Jackson County41.3Belmont County: 41.1 %Belmont County41.1Meigs County: 40.8 %Meigs County40.8Monroe County: 40.7 %Monroe County40.7Morgan County: 40.7 %Morgan County40.7Carroll County: 40.6 %Carroll County40.6Fayette County: 40.6 %Fayette County40.6Muskingum County: 40.3 %Muskingum County40.3Brown County: 40.2 %Brown County40.2Clark County: 40.2 %Clark County40.2Gallia County: 40.2 %Gallia County40.2Guernsey County: 40.1 %Guernsey County40.1Coshocton County: 40 %Coshocton County40Lawrence County: 39.9 %Lawrence County39.9Vinton County: 39.9 %Vinton County39.9Darke County: 39.8 %Darke County39.8Highland County: 39.6 %Highland County39.6Ashtabula County: 39.4 %Ashtabula County39.4Paulding County: 39.4 %Paulding County39.4Adams County: 39.3 %Adams County39.3Pike County: 39.2 %Pike County39.2Trumbull County: 39.2 %Trumbull County39.2Perry County: 39.1 %Perry County39.1Erie County: 39 %Erie County39Fulton County: 39 %Fulton County39Hocking County: 38.8 %Hocking County38.8Marion County: 38.8 %Marion County38.8Lorain County: 38.7 %Lorain County38.7Scioto County: 38.7 %Scioto County38.7Stark County: 38.6 %Stark County38.6Williams County: 38.5 %Williams County38.5Columbiana County: 38.4 %Columbiana County38.4Jefferson County: 38.4 %Jefferson County38.4Sandusky County: 38.4 %Sandusky County38.4Ashland County: 38.3 %Ashland County38.3Medina County: 38.3 %Medina County38.3Morrow County: 38.3 %Morrow County38.3Noble County: 43.7 %Noble County43.7Ottawa County: 42.5 %Ottawa County42.5Harrison County: 41.3 %Harrison County41.3Jackson County: 41.3 %Jackson County41.3Belmont County: 41.1 %Belmont County41.1Meigs County: 40.8 %Meigs County40.8Monroe County: 40.7 %Monroe County40.7Morgan County: 40.7 %Morgan County40.7Carroll County: 40.6 %Carroll County40.6Fayette County: 40.6 %Fayette County40.6Muskingum County: 40.3 %Muskingum County40.3Brown County: 40.2 %Brown County40.2Clark County: 40.2 %Clark County40.2Gallia County: 40.2 %Gallia County40.2Guernsey County: 40.1 %Guernsey County40.1Coshocton County: 40 %Coshocton County40Lawrence County: 39.9 %Lawrence County39.9Vinton County: 39.9 %Vinton County39.9Darke County: 39.8 %Darke County39.8Highland County: 39.6 %Highland County39.6Ashtabula County: 39.4 %Ashtabula County39.4Paulding County: 39.4 %Paulding County39.4Adams County: 39.3 %Adams County39.3Pike County: 39.2 %Pike County39.2Trumbull County: 39.2 %Trumbull County39.2Perry County: 39.1 %Perry County39.1Erie County: 39 %Erie County39Fulton County: 39 %Fulton County39Hocking County: 38.8 %Hocking County38.8Marion County: 38.8 %Marion County38.8Lorain County: 38.7 %Lorain County38.7Scioto County: 38.7 %Scioto County38.7Stark County: 38.6 %Stark County38.6Williams County: 38.5 %Williams County38.5Columbiana County: 38.4 %Columbiana County38.4Jefferson County: 38.4 %Jefferson County38.4Sandusky County: 38.4 %Sandusky County38.4Ashland County: 38.3 %Ashland County38.3Medina County: 38.3 %Medina County38.3Morrow County: 38.3 %Morrow County38.3
%. Source: CDC, PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh and later releases), high cholesterol in screened adults, crude prevalence. Retrieved 2026-10-12.

Full ranking

RankCounties2023 (%)
1Noble County43.7
2Ottawa County42.5
3Harrison County41.3
3Jackson County41.3
5Belmont County41.1
6Meigs County40.8
7Monroe County40.7
7Morgan County40.7
9Carroll County40.6
9Fayette County40.6
11Muskingum County40.3
12Brown County40.2
12Clark County40.2
12Gallia County40.2
15Guernsey County40.1
16Coshocton County40
17Lawrence County39.9
17Vinton County39.9
19Darke County39.8
20Highland County39.6
21Ashtabula County39.4
21Paulding County39.4
23Adams County39.3
24Pike County39.2
24Trumbull County39.2
26Perry County39.1
27Erie County39
27Fulton County39
29Hocking County38.8
29Marion County38.8
31Lorain County38.7
31Scioto County38.7
33Stark County38.6
34Williams County38.5
35Columbiana County38.4
35Jefferson County38.4
35Sandusky County38.4
38Ashland County38.3
38Medina County38.3
38Morrow County38.3
41Crawford County38.2
41Cuyahoga County38.2
43Mercer County38
44Logan County37.9
44Ross County37.9
46Geauga County37.8
46Henry County37.8
46Mahoning County37.8
46Preble County37.8
46Richland County37.8
46Washington County37.8
52Clinton County37.7
53Knox County37.6
54Allen County37.5
54Auglaize County37.5
54Champaign County37.5
57Miami County37.4
58Summit County37.3
59Fairfield County37.2
59Shelby County37.2
61Licking County37.1
61Wayne County37.1
61Wyandot County37.1
64Clermont County36.9
65Defiance County36.7
65Greene County36.7
65Putnam County36.7
65Seneca County36.7
65Van Wert County36.7
70Huron County36.5
71Pickaway County36.4
71Tuscarawas County36.4
73Lake County36.3
74Hancock County36.2
74Madison County36.2
76Holmes County36.1
77Hardin County36
78Lucas County35.8
79Portage County35.6
80Warren County35.2
81Butler County35
82Union County34.6
83Hamilton County34.3
84Delaware County34.2
85Wood County33.7
86Montgomery County33.6
87Franklin County33.5
88Athens County33

Other periods

About this ranking

Percentage of adults who have ever had their cholesterol checked and were told by a doctor, nurse or other health professional that it was high. 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 2021; its eight former counties are not served. The question is asked in odd years only.

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 and later releases), high cholesterol in screened 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 and later releases), high cholesterol in screened adults, crude prevalence (Counties in Ohio by high cholesterol in screened adults, local model estimate, 2023) [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 and later releases), high cholesterol in screened adults, crude prevalence, Counties in Ohio by high cholesterol in screened adults, local model estimate, 2023. Centers for Disease Control and Prevention, 4 Dec. 2025, https://www.cdc.gov/places/. Invokely, https://invokely.ai/rankings/adult-high-cholesterol-rate-county-estimate/ohio-counties. 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 and later releases), high cholesterol in screened adults, crude prevalence. Counties in Ohio by high cholesterol in screened adults, local model estimate, 2023. Dataset. Accessed October 12, 2026. https://www.cdc.gov/places/. Also distributed by Invokely, https://invokely.ai/rankings/adult-high-cholesterol-rate-county-estimate/ohio-counties.

Harvard

Centers for Disease Control and Prevention (2025) PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh and later releases), high cholesterol in screened adults, crude prevalence, Counties in Ohio by high cholesterol in screened adults, local model estimate, 2023 [Dataset]. Available at: https://www.cdc.gov/places/, via Invokely: https://invokely.ai/rankings/adult-high-cholesterol-rate-county-estimate/ohio-counties (Accessed: 12 October 2026).

BibTeX
@misc{centers_counties_in_ohio_by_2023,
  author = {{Centers for Disease Control and Prevention}},
  title = {{PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh and later releases), high cholesterol in screened adults, crude prevalence: Counties in Ohio by high cholesterol in screened adults, local model estimate, 2023}},
  year = {2025},
  howpublished = {Data set},
  url = {https://www.cdc.gov/places/},
  urldate = {2026-10-12},
  note = {Accessed via Invokely, https://invokely.ai/rankings/adult-high-cholesterol-rate-county-estimate/ohio-counties. Publisher attribution: Centers for Disease Control and Prevention (CDC). PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh and later releases), high cholesterol in screened 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 and later releases), high cholesterol in screened adults, crude prevalence: Counties in Ohio by high cholesterol in screened adults, local model estimate, 2023
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-high-cholesterol-rate-county-estimate/ohio-counties
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/adult-high-cholesterol-rate-county-estimate/ohio-counties.
N1  - Publisher attribution: Centers for Disease Control and Prevention (CDC). PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh and later releases), high cholesterol in screened 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 high cholesterol in screened adults, local model estimate using official data, and cite the source.
rank_places {"indicator":"adult_high_cholesterol_rate_modelled","level":"province","within":"Ohio","limit":10}
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Questions

Which county has the highest high cholesterol in screened adults, local model estimate?

Noble County, with 43.7% in 2023, according to the Centers for Disease Control and Prevention.

Which county has the lowest high cholesterol in screened adults, local model estimate?

Athens County, with 33% in 2023.

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 and later releases), high cholesterol in screened adults, crude prevalence. Retrieved 2026-10-12.

High cholesterol in screened adults, local model estimate: other rankings

Counties in Ohio: more rankings