States › South Carolina › Richland County
County · South Carolina
Richland County, SC
425,138 residents, 334,065 adults (Census population estimates used by PLACES). 18 ZIP Codes and 15 places with estimates.
- South Carolina
- ZIP Codes
- Places
- Crude and age-adjusted estimates
CDC's PLACES project publishes model-based estimates of 40 health measures for Richland County, in South Carolina: 425,138 residents in the Census population estimates used by PLACES, 334,065 of them adults.
In the 2025 release it estimates that 34.7% of adults have obesity (95% confidence interval 30.5–39.2%), in line with the South Carolina figure of 35.8% (site aggregate), similar to the national estimate of 32.8%. Where intervals overlap the figures are described as similar, because the model cannot separate them.
Diagnosed diabetes: 13.0% of adults (95% confidence interval 11.5–14.7%) in the 2025 release, in line with the South Carolina figure of 13.9% (site aggregate), similar to the national estimate of 12.0%.
Across the 40 measures with a published estimate, the county's interval lies entirely above the South Carolina figure for 2, entirely below it for 8 and includes it for 30. State figures are population-weighted county estimates computed by this site and carry no interval.
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% intervalSC figureUS estimate
Health outcomes (12)vs SC figure: 0 above · 5 below · 7 in line
Prevention (7)vs SC figure: 0 above · 1 below · 6 in line
Health risk behaviors (4)vs SC figure: 1 above · 1 below · 2 in line
Disability (7)vs SC figure: 0 above · 1 below · 6 in line
Health status (3)vs SC figure: 0 above · 0 below · 3 in line
Health-related social needs (7)vs SC figure: 1 above · 0 below · 6 in line
Flags: St. = South Carolina figure (site aggregate: a population-weighted county estimate computed by this site, no interval: above, below or in line), US = national estimate with CDC's interval. ↑ interval entirely above, ↓ entirely below, ≈ overlapping or containing the reference. Release column in colour: not published for this county in the 2025 release, most recent published release shown.
Compared with state and nation
| Measure (crude) | Richland County | South Carolina (site aggregate) | United States |
|---|---|---|---|
| Obesity | 34.7% 30.5–39.2 | 35.8% in line | 32.8% 32.4–33.1 · similar |
| Diabetes | 13.0% 11.5–14.7 | 13.9% in line | 12.0% 11.8–12.2 · similar |
| High Blood Pressure | 36.5% 33.5–39.5 | 38.5% in line | 34.4% 34.0–34.7 · similar |
| Current Asthma | 9.9% 8.8–11.1 | 9.6% in line | 9.8% 9.6–10.0 · similar |
| COPD | 5.8% 4.9–6.8 | 7.5% below | 6.2% 6.1–6.3 · similar |
| Coronary Heart Disease | 5.4% 4.8–6.1 | 6.8% below | 6.4% 6.2–6.5 · lower |
| Depression | 22.3% 19.6–25.1 | 22.3% in line | 20.2% 19.9–20.5 · similar |
| Current Cigarette Smoking | 11.2% 9.1–13.4 | 13.3% in line | 11.4% 11.2–11.6 · similar |
| Binge Drinking | 16.3% 13.8–18.8 | 15.7% in line | 15.2% 15.0–15.5 · similar |
| Physical Inactivity | 21.7% 18.5–25.3 | 25.8% below | 24.5% 24.2–24.8 · similar |
| Health Insurance | 11.1% 8.9–13.5 | 11.8% in line | 11.0% 10.7–11.3 · similar |
| General Health | 19.2% 16.6–22.1 | 20.1% in line | 19.2% 18.9–19.5 · similar |
| Measure (age-adjusted) | Richland County | South Carolina (site aggregate) | United States |
|---|---|---|---|
| Obesity | 35.8% 31.6–40.3 | 35.9% in line | 32.9% 32.5–33.2 · similar |
| Diabetes | 13.0% 11.4–14.7 | 11.8% in line | 10.3% 10.1–10.5 · higher |
| High Blood Pressure | 37.0% 33.9–40.1 | 34.5% in line | 30.7% 30.4–31.0 · higher |
| Current Asthma | 9.9% 8.8–11.1 | 9.7% in line | 9.8% 9.6–10.0 · similar |
| COPD | 5.7% 4.9–6.6 | 6.4% in line | 5.3% 5.2–5.4 · similar |
| Coronary Heart Disease | 5.4% 4.8–6.0 | 5.5% in line | 5.3% 5.2–5.4 · similar |
| Depression | 22.1% 19.5–24.9 | 23.1% in line | 20.7% 20.4–21.0 · similar |
| Current Cigarette Smoking | 11.9% 9.6–14.3 | 13.7% in line | 11.6% 11.4–11.9 · similar |
| Binge Drinking | 16.3% 13.9–18.8 | 17.3% in line | 16.6% 16.3–16.9 · similar |
| Physical Inactivity | 22.2% 18.8–25.7 | 24.8% in line | 23.7% 23.4–24.0 · similar |
| Health Insurance | 11.3% 9.1–13.7 | 12.3% in line | 11.5% 11.2–11.9 · similar |
| General Health | 19.4% 16.7–22.4 | 19.1% in line | 18.3% 18.0–18.6 · similar |
Twelve headline measures; the toggle switches crude and age-adjusted. State figures are population-weighted county estimates computed by this site and carry no interval. Age-adjusted figures let counties with different age structures be compared.
ZIP Codes in Richland County
Ordered by point estimate; intervals overlap for most neighbouring rows, so the order is not a ranking. The flag compares each row's interval with Richland County by the confidence-interval rule.
| ZIP Codes | Population | Estimate | 95% interval | vs Richland County |
|---|---|---|---|---|
| ZIP 29203 | 39,449 | 43.0% | 38.6–47.6 | similar |
| ZIP 29052 | 1,634 | 42.2% | 37.7–46.8 | similar |
| ZIP 29210 | 39,299 | 41.5% | 38.0–45.3 | similar |
| ZIP 29061 | 13,684 | 41.3% | 36.9–45.8 | similar |
| ZIP 29044 | 4,993 | 39.6% | 35.2–44.2 | similar |
| ZIP 29223 | 52,477 | 36.8% | 32.7–41.2 | similar |
| ZIP 29204 | 18,059 | 36.5% | 32.5–40.7 | similar |
| ZIP 29209 | 35,738 | 35.8% | 31.7–40.0 | similar |
| ZIP 29229 | 51,548 | 35.5% | 31.4–39.7 | similar |
| ZIP 29016 | 26,245 | 34.0% | 29.9–38.2 | similar |
| ZIP 29063 | 36,341 | 31.0% | 27.3–34.8 | similar |
| ZIP 29201 | 25,259 | 30.8% | 26.9–35.0 | similar |
| ZIP 29205 | 23,586 | 30.7% | 26.9–34.7 | similar |
| ZIP 29206 | 19,304 | 29.5% | 25.9–33.7 | similar |
| ZIP 29207 | 7,035 | 25.5% | 22.1–29.3 | lower |
| ZIP 29177 | 213 | 23.3% | 19.5–27.6 | lower |
| ZIP 29208 | 2,330 | 22.8% | 18.4–26.9 | lower |
| ZIP 29225 | 527 | 21.9% | 17.7–25.8 | lower |
ZIP Codes are assigned to the county holding the largest share of their land area; ZIPs that straddle counties appear once.
Cities and places in Richland County
Ordered by point estimate; intervals overlap for most neighbouring rows, so the order is not a ranking. The flag compares each row's interval with Richland County by the confidence-interval rule.
| Places | Population | Estimate | 95% interval | vs Richland County |
|---|---|---|---|---|
| Hopkins | 2,514 | 44.5% | 39.9–49.4 | higher |
| Eastover | 614 | 43.0% | 38.5–47.6 | similar |
| Gadsden | 1,301 | 41.8% | 37.3–46.5 | similar |
| St. Andrews | 20,675 | 40.8% | 36.4–45.3 | similar |
| Dentsville | 14,431 | 39.9% | 35.8–44.5 | similar |
| Woodfield | 9,199 | 39.5% | 35.1–44.0 | similar |
| Capitol View | 4,653 | 38.8% | 34.6–43.3 | similar |
| Olympia | 1,087 | 37.8% | 33.1–42.7 | similar |
| Arthurtown | 2,294 | 37.5% | 33.1–42.0 | similar |
| Blythewood | 4,772 | 34.6% | 30.6–38.9 | similar |
| Columbia | 136,632 | 34.4% | 30.5–38.7 | similar |
| Irmo | 11,569 | 33.3% | 30.1–36.8 | similar |
| Forest Acres | 10,617 | 29.6% | 25.9–33.6 | similar |
| Lake Murray of Richland | 8,110 | 28.3% | 24.5–32.3 | similar |
| Arcadia Lakes | 865 | 27.3% | 23.7–31.2 | similar |
Estimates by release
What each PLACES release published for Richland County (crude prevalence with 95% interval). CDC advises that the estimates cannot be used to track local change over time: each release re-models a different survey year onto a fixed population, intervals usually overlap and the interval method changed in 2023. Listed for reference only.
| Measure | 2022 release | 2023 release | 2024 release | 2025 release |
|---|---|---|---|---|
| COPD | 5.8% 5.1–6.6 | 5.7% 4.8–6.8 | 5.6% 5.1–6.2 | 5.8% 4.9–6.8 |
| Coronary Heart Disease | 5.6% 5.2–6.1 | 5.2% 4.6–5.9 | 5.4% 4.8–5.9 | 5.4% 4.8–6.1 |
| Current Asthma | 10.7% 10.2–11.1 | 10.0% 8.9–11.3 | 10.7% 9.5–12.0 | 9.9% 8.8–11.1 |
| Depression | 21.3% 20.3–22.3 | 19.8% 17.2–22.7 | 20.2% 17.7–22.9 | 22.3% 19.6–25.1 |
| Diabetes | 11.5% 10.8–12.2 | 12.3% 10.8–13.9 | 11.9% 10.5–13.3 | 13.0% 11.5–14.7 |
| High Blood Pressure | 33.3% 32.3–34.2 | 33.7% 30.9–36.7 | 34.0% 31.4–36.9 | 36.5% 33.5–39.5 |
| Obesity | 36.7% 35.4–38.0 | 36.1% 31.9–40.5 | 32.7% 28.7–37.0 | 34.7% 30.5–39.2 |
| Health Insurance | 16.1% 13.7–18.8 | 11.8% 9.4–14.6 | 10.0% 8.9–11.1 | 11.1% 8.9–13.5 |
| Binge Drinking | 17.1% 16.5–17.7 | 18.4% 15.8–21.3 | 17.4% 14.8–20.4 | 16.3% 13.8–18.8 |
| Current Cigarette Smoking | 14.6% 12.7–16.9 | 14.7% 12.0–17.6 | 13.7% 12.1–15.4 | 11.2% 9.1–13.4 |
| Physical Inactivity | 24.6% 22.3–26.9 | 23.9% 20.3–27.5 | 22.4% 19.7–25.3 | 21.7% 18.5–25.3 |
| General Health | 14.9% 13.3–16.7 | 16.5% 14.3–19.2 | 16.4% 14.8–18.2 | 19.2% 16.6–22.1 |
Questions and answers
What share of adults in Richland County have obesity, according to PLACES?
PLACES estimates 34.7% (95% confidence interval 30.5–39.2%) in the 2025 release, based on 2023 BRFSS responses modelled onto the area's adult population. It is a modelled estimate for the whole adult population of the area, not a count of diagnoses.
How common is diagnosed diabetes in Richland County?
PLACES estimates 13.0% of adults (95% confidence interval 11.5–14.7%) in the 2025 release. The national estimate in the same release is 12.0%.
Is Richland County different from South Carolina on obesity?
The county's interval for obesity includes the South Carolina figure, so the two cannot be told apart by this model.
Can these figures describe a person who lives in Richland County?
No. CDC states: "We do not produce estimates for individuals; only aggregated results for counties, places, census tracts, or ZCTAs." The figures describe the expected prevalence across the area's adult population given its demographic make-up and its county and state; they say nothing about any resident.
Can Richland County be ranked or tracked over time with these figures?
CDC advises that the data "should not be used for ranking the overall health of any county, place, census tract, or ZCTA" and that the modelling procedure "does not support using the estimates to track changes at the local level over time". Areas can be compared on individual measures, with their confidence intervals; this site lists estimates by release for reference only.
Where does this data come from?
CDC PLACES: Local Data for Better Health, 2025 release (data updated 4 Dec 2025), which models Behavioral Risk Factor Surveillance System responses with Census population and American Community Survey data. Earlier releases (2022, 2023, 2024) are shown for reference. Boundaries and ZIP-to-county relationships are from the US Census Bureau.
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. Dataset on data.cdc.gov. 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. Processing errors are corrected at the next daily build; see corrections. Generated 30 Sep 2026.