States › Ohio
State
Ohio
88 counties or equivalents, 1,255 places and 1,204 ZIP Codes with PLACES estimates; 11,785,935 residents.
- Counties
- Largest places
- State figures are site aggregates: population-weighted county estimates, no interval
Ohio has 88 counties or equivalents, 1,255 places and 1,204 ZIP Code Tabulation Areas with PLACES estimates, covering 11,785,935 residents (9,207,681 adults).
PLACES does not publish state totals. The state figures here are population-weighted county estimates computed by this site, following CDC's published method for aggregating areas, and carry no interval. For the 2025 release that gives obesity at 37.1% (site aggregate) (age-adjusted 37.2%), above the national interval around 32.8%; county estimates range from 31.5% to 45.8%.
Diagnosed diabetes is 13.2% (site aggregate) by the same method (national 12.0%) and 8.0% (site aggregate) of adults aged 18–64 are estimated to lack health insurance (national 11.0%).
Report card: 40 measures by CDC category
Crude prevalence is the estimated share of all adults. Age-adjusted prevalence is standardised to the 2000 US standard population so that areas with different age structures can be compared. CDC: "Age-adjusted estimates are only available at the county and place-level."
estimate with 95% intervalUS estimate
Health outcomes (12)vs the US interval: 11 above · 1 below · 0 within
Prevention (7)vs the US interval: 2 above · 4 below · 1 within
Health risk behaviors (4)vs the US interval: 4 above · 0 below · 0 within
Disability (7)vs the US interval: 1 above · 2 below · 4 within
Health status (3)vs the US interval: 2 above · 0 below · 1 within
Health-related social needs (7)vs the US interval: 3 above · 3 below · 1 within
State figures are population-weighted county estimates computed by this site and carry no interval, so the dot is a point and the US flag says whether the state figure falls above, below or within CDC's national 95% interval. Each measure links to its national and state tables.
Counties in Ohio
Ordered by point estimate; intervals overlap for most neighbouring rows, so the order is not a ranking. The flag says whether each row's interval lies above, below or in line with the Ohio figure, which is a population-weighted county estimate computed by this site and carries no interval.
| Counties | Population | Estimate | 95% interval | vs the Ohio figure |
|---|---|---|---|---|
| Ashtabula County | 96,845 | 45.8% | 38.6–52.8 | above |
| Jackson County | 32,606 | 44.9% | 38.6–51.7 | above |
| Scioto County | 71,969 | 44.7% | 39.0–50.5 | above |
| Meigs County | 21,767 | 44.5% | 37.8–51.0 | above |
| Ross County | 76,501 | 44.3% | 38.9–50.0 | above |
| Marion County | 64,851 | 44.2% | 37.6–51.1 | above |
| Muskingum County | 86,305 | 43.9% | 38.5–49.7 | above |
| Putnam County | 34,199 | 43.7% | 36.2–51.3 | in line |
| Washington County | 58,577 | 43.7% | 38.0–49.5 | above |
| Tuscarawas County | 91,874 | 43.4% | 37.2–49.3 | above |
| Champaign County | 38,845 | 43.2% | 35.2–51.3 | in line |
| Pike County | 27,001 | 43.2% | 35.8–50.7 | in line |
| Jefferson County | 64,026 | 42.5% | 36.6–48.7 | in line |
| Clark County | 134,610 | 42.2% | 35.5–49.1 | in line |
| Brown County | 43,777 | 41.6% | 35.4–48.6 | in line |
| Lawrence County | 56,118 | 41.6% | 35.7–47.2 | in line |
| Noble County | 14,311 | 41.6% | 33.5–50.3 | in line |
| Coshocton County | 36,869 | 41.5% | 34.2–49.1 | in line |
| Harrison County | 14,159 | 41.4% | 34.2–49.3 | in line |
| Fayette County | 28,817 | 41.3% | 34.3–48.5 | in line |
| Highland County | 43,614 | 41.3% | 35.1–47.6 | in line |
| Paulding County | 18,706 | 41.3% | 33.0–50.3 | in line |
| Columbiana County | 100,182 | 41.1% | 34.3–48.2 | in line |
| Morgan County | 13,646 | 41.1% | 33.3–49.6 | in line |
| Belmont County | 64,918 | 40.9% | 35.4–46.6 | in line |
| Sandusky County | 58,709 | 40.7% | 33.9–48.0 | in line |
| Williams County | 36,591 | 40.6% | 33.3–49.0 | in line |
| Monroe County | 13,153 | 40.4% | 32.8–48.5 | in line |
| Stark County | 372,716 | 40.4% | 34.6–46.1 | in line |
| Adams County | 27,521 | 40.3% | 33.4–47.2 | in line |
| Hardin County | 30,368 | 40.3% | 33.4–47.8 | in line |
| Vinton County | 12,474 | 40.3% | 32.7–48.3 | in line |
| Erie County | 74,035 | 40.1% | 33.6–46.8 | in line |
| Morrow County | 35,595 | 40.0% | 32.5–47.4 | in line |
| Pickaway County | 61,086 | 39.8% | 32.5–47.7 | in line |
| Union County | 69,637 | 39.8% | 33.4–46.7 | in line |
| Allen County | 100,838 | 39.7% | 34.1–45.3 | in line |
| Clinton County | 41,938 | 39.7% | 32.2–47.8 | in line |
| Preble County | 40,556 | 39.7% | 31.4–47.6 | in line |
| Trumbull County | 200,373 | 39.7% | 34.3–45.3 | in line |
| Shelby County | 47,765 | 39.6% | 32.1–47.1 | in line |
| Auglaize County | 46,050 | 39.5% | 32.9–46.3 | in line |
| Crawford County | 41,529 | 39.5% | 32.2–46.8 | in line |
| Hancock County | 74,704 | 39.3% | 33.1–45.5 | in line |
| Logan County | 46,057 | 39.3% | 31.5–46.8 | in line |
| Butler County | 393,043 | 39.0% | 33.4–44.4 | in line |
| Richland County | 125,064 | 39.0% | 33.4–44.9 | in line |
| Carroll County | 26,758 | 38.9% | 31.6–46.7 | in line |
| Henry County | 27,520 | 38.6% | 30.9–46.6 | in line |
| Mahoning County | 225,596 | 38.6% | 33.7–45.1 | in line |
| Perry County | 35,551 | 38.6% | 31.7–45.6 | in line |
| Ashland County | 52,190 | 38.3% | 30.6–46.2 | in line |
| Guernsey County | 38,089 | 38.3% | 31.8–45.1 | in line |
| Holmes County | 44,386 | 38.2% | 29.9–46.8 | in line |
| Ottawa County | 39,803 | 38.0% | 31.1–45.4 | in line |
| Greene County | 169,691 | 37.8% | 31.3–44.6 | in line |
| Summit County | 535,733 | 37.6% | 32.5–42.7 | in line |
| Licking County | 183,201 | 37.5% | 31.6–43.7 | in line |
| Wayne County | 116,510 | 37.5% | 30.3–44.9 | in line |
| Wood County | 132,650 | 37.4% | 31.6–43.3 | in line |
| Madison County | 44,602 | 37.3% | 29.8–45.6 | in line |
| Van Wert County | 28,704 | 37.3% | 30.2–45.1 | in line |
| Knox County | 63,320 | 37.1% | 30.7–44.0 | in line |
| Fulton County | 42,007 | 37.0% | 29.9–44.6 | in line |
| Montgomery County | 533,796 | 37.0% | 32.2–42.1 | in line |
| Lake County | 231,640 | 36.9% | 31.0–43.3 | in line |
| Lorain County | 317,910 | 36.8% | 31.1–42.4 | in line |
| Gallia County | 28,986 | 36.6% | 30.0–43.6 | in line |
| Darke County | 51,415 | 36.4% | 28.9–44.4 | in line |
| Medina County | 184,042 | 36.3% | 29.6–43.6 | in line |
| Mercer County | 42,439 | 36.3% | 29.7–43.5 | in line |
| Hocking County | 27,540 | 36.1% | 30.0–42.6 | in line |
| Lucas County | 425,484 | 36.1% | 31.6–40.6 | in line |
| Seneca County | 54,527 | 35.8% | 29.0–42.8 | in line |
| Fairfield County | 165,360 | 35.6% | 29.6–42.2 | in line |
| Hamilton County | 827,058 | 35.6% | 31.4–40.1 | in line |
| Wyandot County | 21,457 | 35.6% | 28.2–43.8 | in line |
| Cuyahoga County | 1,233,088 | 35.3% | 31.6–39.1 | in line |
| Defiance County | 38,315 | 35.3% | 28.4–43.1 | in line |
| Huron County | 58,199 | 35.0% | 28.8–42.1 | in line |
| Clermont County | 211,972 | 34.7% | 28.8–40.8 | in line |
| Athens County | 62,706 | 34.5% | 29.3–39.6 | in line |
| Franklin County | 1,326,063 | 33.7% | 30.1–37.2 | in line |
| Miami County | 110,876 | 33.6% | 27.0–40.4 | in line |
| Portage County | 162,665 | 32.9% | 27.1–38.6 | in line |
| Geauga County | 95,407 | 32.6% | 26.2–39.3 | in line |
| Warren County | 252,148 | 32.6% | 27.0–38.8 | in line |
| Delaware County | 231,636 | 31.5% | 26.9–36.1 | below |
Largest places in Ohio
- Columbus 905,748
- Cleveland 372,624
- Cincinnati 309,317
- Toledo 270,871
- Akron 190,469
- Dayton 137,644
- Parma 81,146
- Canton 70,872
- Lorain 65,211
- Hamilton 63,399
- Youngstown 60,068
- Springfield 58,662
- Kettering 57,862
- Elyria 52,656
- Cuyahoga Falls 51,114
- Middletown 50,987
- Lakewood 50,942
- Newark 49,934
- Euclid 49,692
- Dublin 49,328
- Mansfield 47,534
- Mentor 47,450
- Beavercreek 46,549
- Strongsville 46,491
- Cleveland Heights 45,312
The 25 most populous places; every county page lists all of its places and ZIP Codes.
Measures
State figures are population-weighted county estimates computed by this site and carry no interval; the word says whether each falls above, below or within CDC's national interval.
Health outcomes
- All Teeth Lost 15.3% (site aggregate) · US 12.2% · above US interval
- Arthritis 29.8% (site aggregate) · US 25.4% · above US interval
- Cancer (non-skin) or Melanoma 8.7% (site aggregate) · US 7.9% · above US interval
- COPD 8.0% (site aggregate) · US 6.2% · above US interval
- Coronary Heart Disease 7.1% (site aggregate) · US 6.4% · above US interval
- Current Asthma 11.1% (site aggregate) · US 9.8% · above US interval
- Depression 25.4% (site aggregate) · US 20.2% · above US interval
- Diabetes 13.2% (site aggregate) · US 12.0% · above US interval
- High Blood Pressure 37.2% (site aggregate) · US 34.4% · above US interval
- High Cholesterol 36.7% (site aggregate) · US 37.4% · below US interval
- Obesity 37.1% (site aggregate) · US 32.8% · above US interval
- Stroke 3.7% (site aggregate) · US 3.4% · above US interval
Prevention
- Cholesterol Screening 86.1% (site aggregate) · US 87.5% · below US interval
- Colorectal Cancer Screening 65.2% (site aggregate) · US 66.3% · below US interval
- Health Insurance 8.0% (site aggregate) · US 11.0% · below US interval
- Mammography 76.0% (site aggregate) · US 76.5% · within US interval
- High Blood Pressure Medication 79.2% (site aggregate) · US 77.0% · above US interval
- Dental Visit 62.9% (site aggregate) · US 63.9% · below US interval
- Annual Checkup 79.9% (site aggregate) · US 77.7% · above US interval
Health risk behaviors
- Binge Drinking 16.6% (site aggregate) · US 15.2% · above US interval
- Current Cigarette Smoking 15.4% (site aggregate) · US 11.4% · above US interval
- Physical Inactivity 26.9% (site aggregate) · US 24.5% · above US interval
- Short Sleep Duration 37.9% (site aggregate) · US 36.0% · above US interval
Disability
- Any Disability 29.5% (site aggregate) · US 30.0% · below US interval
- Cognitive Disability 13.9% (site aggregate) · US 13.7% · within US interval
- Hearing Disability 6.8% (site aggregate) · US 6.7% · within US interval
- Independent Living Disability 8.1% (site aggregate) · US 7.9% · within US interval
- Mobility Disability 13.9% (site aggregate) · US 13.5% · above US interval
- Self-care Disability 3.8% (site aggregate) · US 3.8% · within US interval
- Vision Disability 4.8% (site aggregate) · US 5.5% · below US interval
Health status
- General Health 19.4% (site aggregate) · US 19.2% · within US interval
- Frequent Mental Distress 17.5% (site aggregate) · US 15.6% · above US interval
- Frequent Physical Distress 13.9% (site aggregate) · US 12.8% · above US interval
Health-related social needs
- Food Insecurity 14.1% (site aggregate) · US 14.7% · below US interval
- Housing Insecurity 11.3% (site aggregate) · US 11.7% · below US interval
- Transportation Barriers 7.7% (site aggregate) · US 7.7% · within US interval
- Lack of Social/Emotional Support 21.3% (site aggregate) · US 23.3% · below US interval
- Loneliness 35.0% (site aggregate) · US 32.0% · above US interval
- Food Stamps 11.7% (site aggregate) · US 11.2% · above US interval
- Utility Services Threat 8.3% (site aggregate) · US 7.4% · above US interval
Questions and answers
How is the Ohio figure calculated?
PLACES publishes county, place, tract and ZCTA estimates but no state row. Following CDC's guidance for aggregating areas, this site multiplies each county's estimate by its adult population, sums across the state's 88 counties and divides by the total adult population. The result has no published confidence interval, so county pages describe their position against it as above, below or in line with the state figure.
Which Ohio counties have the highest obesity estimates?
The county table on this page can be sorted by any of the 40 measures. Estimates are listed with their 95% confidence intervals; adjacent counties often have overlapping intervals and cannot be told apart, so the order is by point estimate only and is not a ranking of health.
What is the difference between crude and age-adjusted figures?
Crude prevalence is the estimated share of all adults. Age-adjusted prevalence re-weights the estimate to the 2000 US standard population so areas with different age structures can be compared; CDC publishes age-adjusted figures for counties and places only. The toggle on this page switches between them.
Where does this data come from?
CDC PLACES: Local Data for Better Health, 2025 release, data updated 4 Dec 2025; the state figure for obesity is 37.1% (site aggregate) in the 2025 release.
Provenance
Source: Centers for Disease Control and Prevention, PLACES: Local Data for Better Health, 2025 release (data updated 4 Dec 2025), with the 2022, 2023, 2024 releases for reference; US government work, public domain. Boundaries and ZIP-to-county relationships: US Census Bureau. Percentages are shown to one decimal as CDC publishes them; state figures are population-weighted means computed by this site. The Ohio figure for each measure is the sum over counties of estimate × adult population, divided by the state's adult population, per CDC's guidance for aggregating areas; measures defined on a subgroup (women 50–74, adults 18–64, adults 65 and over) are weighted by total adult population as an approximation. Processing errors are corrected at the next daily build; see corrections. Generated 30 Sep 2026.