States › South Carolina
State
South Carolina
46 counties or equivalents, 466 places and 420 ZIP Codes with PLACES estimates; 5,373,555 residents.
- Counties
- Largest places
- State figures are site aggregates: population-weighted county estimates, no interval
South Carolina has 46 counties or equivalents, 466 places and 420 ZIP Code Tabulation Areas with PLACES estimates, covering 5,373,555 residents (4,229,354 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 35.8% (site aggregate) (age-adjusted 35.9%), above the national interval around 32.8%; county estimates range from 29.6% to 46.7%.
Diagnosed diabetes is 13.9% (site aggregate) by the same method (national 12.0%) and 11.8% (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 · 0 below · 1 within
Prevention (7)vs the US interval: 5 above · 2 below · 0 within
Health risk behaviors (4)vs the US interval: 3 above · 0 below · 1 within
Disability (7)vs the US interval: 6 above · 0 below · 1 within
Health status (3)vs the US interval: 3 above · 0 below · 0 within
Health-related social needs (7)vs the US interval: 4 above · 1 below · 2 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 South Carolina
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 South Carolina figure, which is a population-weighted county estimate computed by this site and carries no interval.
| Counties | Population | Estimate | 95% interval | vs the South Carolina figure |
|---|---|---|---|---|
| Allendale County | 7,369 | 46.7% | 38.2–55.5 | above |
| Fairfield County | 20,422 | 45.7% | 37.3–54.1 | above |
| Darlington County | 62,416 | 45.6% | 38.9–52.2 | above |
| Dillon County | 27,698 | 45.3% | 37.2–53.8 | above |
| Marion County | 28,508 | 45.3% | 37.7–53.3 | above |
| Chesterfield County | 44,031 | 45.2% | 38.0–52.4 | above |
| Williamsburg County | 29,891 | 45.0% | 38.3–52.2 | above |
| Barnwell County | 20,447 | 44.2% | 36.6–51.9 | above |
| Union County | 26,629 | 44.0% | 35.6–52.1 | in line |
| Lee County | 15,967 | 43.7% | 35.8–51.5 | in line |
| Saluda County | 19,123 | 43.6% | 36.0–51.1 | above |
| Sumter County | 104,165 | 42.7% | 36.9–48.6 | above |
| Orangeburg County | 82,820 | 42.2% | 36.8–48.1 | above |
| Bamberg County | 12,974 | 42.0% | 34.1–50.5 | in line |
| Hampton County | 18,122 | 41.6% | 33.5–49.6 | in line |
| Marlboro County | 25,704 | 41.0% | 33.9–48.9 | in line |
| Calhoun County | 14,186 | 40.7% | 32.6–48.8 | in line |
| Florence County | 137,214 | 40.6% | 35.0–46.0 | in line |
| Edgefield County | 27,607 | 39.9% | 33.1–47.4 | in line |
| Colleton County | 38,874 | 39.3% | 32.1–45.9 | in line |
| Cherokee County | 56,714 | 38.8% | 31.4–46.6 | in line |
| Oconee County | 81,221 | 38.2% | 31.8–44.8 | in line |
| Newberry County | 38,825 | 38.1% | 32.0–44.8 | in line |
| Clarendon County | 31,004 | 38.0% | 31.2–44.6 | in line |
| Berkeley County | 255,217 | 37.9% | 32.8–43.1 | in line |
| Chester County | 32,226 | 37.9% | 30.7–45.0 | in line |
| Spartanburg County | 356,698 | 37.9% | 33.0–42.9 | in line |
| Abbeville County | 24,434 | 37.6% | 31.0–44.9 | in line |
| York County | 298,320 | 37.3% | 32.8–41.8 | in line |
| McCormick County | 9,941 | 36.9% | 29.4–45.4 | in line |
| Greenwood County | 69,460 | 36.8% | 31.0–42.9 | in line |
| Kershaw County | 69,905 | 36.6% | 30.0–43.3 | in line |
| Anderson County | 213,076 | 36.3% | 31.3–41.2 | in line |
| Laurens County | 68,873 | 36.3% | 30.2–42.4 | in line |
| Lexington County | 309,528 | 36.2% | 31.5–41.1 | in line |
| Lancaster County | 108,215 | 36.1% | 30.6–41.8 | in line |
| Dorchester County | 169,833 | 35.4% | 29.5–41.4 | in line |
| Pickens County | 135,495 | 35.4% | 29.3–41.7 | in line |
| Jasper County | 33,544 | 35.0% | 28.3–42.2 | in line |
| Richland County | 425,138 | 34.7% | 30.5–39.2 | in line |
| Aiken County | 177,130 | 34.4% | 30.2–38.9 | in line |
| Greenville County | 558,036 | 32.5% | 28.1–37.0 | in line |
| Horry County | 397,478 | 32.3% | 28.3–36.5 | in line |
| Georgetown County | 65,731 | 31.8% | 26.3–37.7 | in line |
| Charleston County | 424,367 | 30.0% | 25.8–34.4 | below |
| Beaufort County | 198,979 | 29.6% | 25.8–34.4 | below |
Largest places in South Carolina
- Charleston 150,227
- Columbia 136,632
- North Charleston 114,852
- Mount Pleasant 90,801
- Rock Hill 74,372
- Greenville 70,720
- Summerville 50,915
- Goose Creek 45,946
- Sumter 43,463
- Florence 39,899
- Spartanburg 38,732
- Hilton Head Island 37,661
- Myrtle Beach 35,682
- Greer 35,308
- Aiken 32,025
- Anderson 28,106
- Bluffton 27,716
- Conway 24,849
- Mauldin 24,724
- Fort Mill 24,521
- North Augusta 24,379
- Lexington 23,568
- Simpsonville 23,354
- Carolina Forest 23,342
- Taylors 23,222
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 13.9% (site aggregate) · US 12.2% · above US interval
- Arthritis 28.5% (site aggregate) · US 25.4% · above US interval
- Cancer (non-skin) or Melanoma 8.6% (site aggregate) · US 7.9% · above US interval
- COPD 7.5% (site aggregate) · US 6.2% · above US interval
- Coronary Heart Disease 6.8% (site aggregate) · US 6.4% · above US interval
- Current Asthma 9.6% (site aggregate) · US 9.8% · within US interval
- Depression 22.3% (site aggregate) · US 20.2% · above US interval
- Diabetes 13.9% (site aggregate) · US 12.0% · above US interval
- High Blood Pressure 38.5% (site aggregate) · US 34.4% · above US interval
- High Cholesterol 38.1% (site aggregate) · US 37.4% · above US interval
- Obesity 35.8% (site aggregate) · US 32.8% · above US interval
- Stroke 3.9% (site aggregate) · US 3.4% · above US interval
Prevention
- Cholesterol Screening 86.9% (site aggregate) · US 87.5% · below US interval
- Colorectal Cancer Screening 69.3% (site aggregate) · US 66.3% · above US interval
- Health Insurance 11.8% (site aggregate) · US 11.0% · above US interval
- Mammography 77.6% (site aggregate) · US 76.5% · above US interval
- High Blood Pressure Medication 80.2% (site aggregate) · US 77.0% · above US interval
- Dental Visit 63.1% (site aggregate) · US 63.9% · below US interval
- Annual Checkup 80.6% (site aggregate) · US 77.7% · above US interval
Health risk behaviors
- Binge Drinking 15.7% (site aggregate) · US 15.2% · above US interval
- Current Cigarette Smoking 13.3% (site aggregate) · US 11.4% · above US interval
- Physical Inactivity 25.8% (site aggregate) · US 24.5% · above US interval
- Short Sleep Duration 35.8% (site aggregate) · US 36.0% · within US interval
Disability
- Any Disability 31.5% (site aggregate) · US 30.0% · above US interval
- Cognitive Disability 14.3% (site aggregate) · US 13.7% · above US interval
- Hearing Disability 7.0% (site aggregate) · US 6.7% · above US interval
- Independent Living Disability 8.7% (site aggregate) · US 7.9% · above US interval
- Mobility Disability 15.4% (site aggregate) · US 13.5% · above US interval
- Self-care Disability 4.3% (site aggregate) · US 3.8% · above US interval
- Vision Disability 5.6% (site aggregate) · US 5.5% · within US interval
Health status
- General Health 20.1% (site aggregate) · US 19.2% · above US interval
- Frequent Mental Distress 16.4% (site aggregate) · US 15.6% · above US interval
- Frequent Physical Distress 14.0% (site aggregate) · US 12.8% · above US interval
Health-related social needs
- Food Insecurity 17.4% (site aggregate) · US 14.7% · above US interval
- Housing Insecurity 13.3% (site aggregate) · US 11.7% · above US interval
- Transportation Barriers 8.6% (site aggregate) · US 7.7% · above US interval
- Lack of Social/Emotional Support 23.6% (site aggregate) · US 23.3% · within US interval
- Loneliness 31.7% (site aggregate) · US 32.0% · within US interval
- Food Stamps 10.5% (site aggregate) · US 11.2% · below US interval
- Utility Services Threat 8.9% (site aggregate) · US 7.4% · above US interval
Questions and answers
How is the South Carolina 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 46 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 South Carolina 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 35.8% (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 South Carolina 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.