ZIP code
29325
in Clinton, South CarolinaPopulation 14,362
45.19/ 100
Ranked #22,213 of 32,066 US ZIPs (bottom 31%)
Ranked #244 of 417 South Carolina ZIPs (bottom 41%)
Ranked #44 of 51 Greenville-Anderson-Greer, SC ZIPs (bottom 13.8%)
Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.
What defines this ZIP
Metrics where this ZIP sits in the tails of the national distribution — the ones that most set it apart. Select any tile for its definition and methodology.
Arsenic in groundwater
1.2%
in the bottom 6.5% nationally
Lower is healthier
ST30thUS6thDefinition & source ›
The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms per liter.
A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.
Full methodology ›Subsidized affordable housing
329 units
in the top 7.4% nationally
Higher is healthier
ST91stUS93rdDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Energy-cost burden
5.2%
in the top 7.7% nationally
Lower is healthier
ST96thUS92ndDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›Fiber broadband
2.6%
in the bottom 27% nationally
Higher is healthier
ST8thUS27thDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›The read
Overall, Clinton, South Carolina (ZIP 29325) lands in the bottom 31% nationally (22,213th) and the bottom 41% of South Carolina (244th).
A number of measures pull each way for this area: distance to an emergency room settles at the national minimum, shared with about 11% of ZIPs. Modeled arsenic resides in the bottom 6.5% nationally, and subsidized affordable housing registers in the top 7.4% nationally. Distance to a community health center rests at the national minimum, shared with about 23% of ZIPs. Physicians stands in the top 11.9% nationally, and grocery lies in the top 13.0% nationally. Distance to a nursing home lands at the national minimum, shared with about 27% of ZIPs. Set against that, modeled energy burden sits in the top 7.7% nationally, humid heat is in the top 11.9% nationally, and food insecurity settles in the top 12.3% nationally.
A note on the terms: arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Subsidized affordable housing is the main federal tax-credit program (HUD) funding affordable rental housing, counted as local units it supports. Energy burden is the share of household income that goes to home energy bills. For a healthier nearby comparison, ZIP 29335, just across the boundary, ranks better overall.
What’s driving this score
Nine domains make up the ZipVitals Score — here is how this ZIP does on each, and how much each one counts. Compare it against the US, this state and the Greenville-Anderson-Greer, SC metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental Hazard
healthier than 73%
14%
Healthcare Access
in the top 0.00%
5%
About typical
Preventive Care
healthier than 49%
13%
Risk Behavior
healthier than 47%
11%
Holding it back
Chronic Disease Burden
healthier than 27%
21%
Social Need / SDOH
healthier than 14%
16%
Mental Health
healthier than 34%
8%
Disability
healthier than 18%
7%
Climate / Disaster Risk
healthier than 35%
5%
Lifting this score
Climate / Disaster Risk
healthier than 63%
5%
Healthcare Access
in the top 0.00%
5%
About typical
Chronic Disease Burden
healthier than 47%
21%
Environmental Hazard
healthier than 56%
14%
Preventive Care
healthier than 41%
13%
Risk Behavior
healthier than 59%
11%
Holding it back
Social Need / SDOH
healthier than 28%
16%
Mental Health
healthier than 28%
8%
Disability
healthier than 32%
7%
Lifting this score
Environmental Hazard
healthier than 94%
14%
Healthcare Access
in the top 0.00%
5%
About typical
Preventive Care
healthier than 46%
13%
Mental Health
healthier than 42%
8%
Holding it back
Chronic Disease Burden
healthier than 16%
21%
Social Need / SDOH
healthier than 2%
16%
Risk Behavior
healthier than 20%
11%
Disability
healthier than 4%
7%
Climate / Disaster Risk
healthier than 14%
5%
“Share” is how much of this ZIP’s score the domain accounts for. Percentages are rounded; higher is healthier in every domain. How the score works, and who it compares you with ›
Findings that name this ZIP
One of our published findings lists this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 75.9 ± 1.2 years. A median household income of $60,259 predicts 78.1 years — 2.2 years below.
Ranked #2,997 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
29178
South Carolinashares a border
Score 43.24
Closest healthier
29335
South Carolinashares a border
Score 47.10
Similar health profile
27855
North Carolina96% similar profile
Score 44.35
How these were chosen: only ZIPs with a published Score appear — a nearby ZIP with too little data to score won’t. Nearby means closest by distance between ZIP boundaries, which can cross state lines. A similar health profile is a close match across the nine Score domains, not similar demographics. Distances are measured between ZIP boundaries — ZIPs that touch share a border. How distance is measured
Evidence
Every measure this page draws on, by source. Collapsed by default — the full data stays in the page for search engines either way.
Health OutcomesCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Arthritis among adults | 31.6% | 28.5–34.6 |
| High blood pressure among adults | 41.5% | 37.8–45.2 |
| Cancer (non-skin) or melanoma among adults | 8.5% | 7.7–9.2 |
| Current asthma among adults | 10.5% | 9.3–11.7 |
| Coronary heart disease among adults | 8.1% | 7.3–9.0 |
| Chronic obstructive pulmonary disease among adults | 9.6% | 8.6–10.7 |
| Depression among adults | 23.4% | 20.2–26.8 |
| Diagnosed diabetes among adults | 16.5% | 14.6–18.5 |
| High cholesterol among adults who have ever been screened | 38.6% | 34.8–42.4 |
| Obesity among adults | 36.7% | 30.7–42.7 |
| Stroke among adults | 5.0% | 4.6–5.4 |
| All teeth lost among adults aged >=65 years | 20.5% | 17.3–24.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 13.5% | 11.7–15.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.3% | 78.9–83.4 |
| Visits to doctor for routine checkup within the past year among adults | 81.2% | 78.0–84.0 |
| Cholesterol screening among adults | 84.4% | 82.5–86.3 |
| Colorectal cancer screening among adults aged 45–75 years | 66.1% | 61.5–70.6 |
| Visited dentist or dental clinic in the past year among adults | 58.7% | 55.3–62.1 |
| Mammography use among women aged 50-74 years | 77.3% | 70.8–83.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.5% | 11.0–16.1 |
| Current cigarette smoking among adults | 16.7% | 14.6–19.0 |
| No leisure-time physical activity among adults | 33.0% | 28.8–37.4 |
| Short sleep duration among adults | 34.7% | 29.7–40.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 26.6% | 23.8–29.6 |
| Frequent mental distress among adults | 18.4% | 16.4–20.5 |
| Frequent physical distress among adults | 16.3% | 14.5–18.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.4% | 15.6–19.4 |
| Any disability among adults | 39.4% | 35.4–43.6 |
| Hearing disability among adults | 8.0% | 7.2–8.9 |
| Independent living disability among adults | 11.6% | 10.4–12.9 |
| Mobility disability among adults | 19.7% | 17.5–21.9 |
| Self-care disability among adults | 5.9% | 5.4–6.4 |
| Vision disability among adults | 7.7% | 7.0–8.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.7% | 21.4–28.2 |
| Food insecurity in the past 12 months among adults | 24.1% | 21.4–27.0 |
| Received food stamps in the past 12 months among adults | 16.8% | 14.8–18.9 |
| Housing insecurity in the past 12 months among adults | 16.8% | 14.7–19.0 |
| Lack of reliable transportation in the past 12 months among adults | 11.6% | 10.4–13.0 |
| Loneliness among adults | 34.1% | 29.6–38.7 |
| Utility services shut-off threat in the past 12 months among adults | 11.9% | 10.5–13.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | SC median (p10–p90) |
|---|---|---|---|
| Poverty rate | 22.1% | 10.6% (3.1–25.8%) n=32,364 | 15.5% (6.2–28.7%) n=410 |
| Uninsured 18–64 | 15.9% | 9.0% (1.5–24.3%) n=32,286 | 14.1% (5.9–25.5%) n=412 |
| No HS diploma (25+) | 14.4% | 7.9% (1.8–20.7%) n=32,505 | 11.6% (3.4–21.1%) n=417 |
| Bachelor's or higher (25+) | 26.0% | 23.3% (9.2–53.6%) n=32,505 | 20.1% (9.1–48.9%) n=417 |
| Unemployment rate (16+) | 5.2% | 3.9% (0.0–9.8%) n=32,274 | 4.6% (0.2–11.1%) n=414 |
| Households without a vehicle | 3.4% | 3.9% (0.0–12.5%) n=32,322 | 4.8% (0.0–13.6%) n=410 |
| Broadband subscription | 85.5% | 89.3% (75.1–97.1%) n=32,322 | 86.1% (71.4–95.1%) n=410 |
| Housing cost burden (≥30% income) | 22.8% | 23.7% (10.6–40.0%) n=32,322 | 23.3% (12.8–35.0%) n=410 |
| Homeownership rate | 66.5% | 78.7% (51.7–94.0%) n=32,322 | 77.3% (54.9–91.8%) n=410 |
| Crowded housing (>1 per room) | 1.0% | 1.3% (0.0–6.3%) n=32,322 | 1.4% (0.0–4.6%) n=410 |
| Foreign-born population | 2.6% | 2.6% (0.0–18.6%) n=32,553 | 2.7% (0.0–9.0%) n=419 |
| Single-parent households | 40.6% | 53.6% (37.3–74.1%) n=32,087 | 50.9% (37.6–69.9%) n=404 |
| Population 65+ | 18.1% | 19.4% (10.8–33.6%) n=32,553 | 19.6% (10.9–31.7%) n=419 |
| Median age | 37.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.4 yr (33.8–54.1) n=415 |
| Median household income | $60,259 | $72,070 ($46,039–$118,707) n=30,318 | $58,990 ($40,800–$90,964) n=384 |
| Median home value | $177,400 | $222,200 ($100,300–$579,820) n=30,049 | $177,400 ($88,260–$384,940) n=383 |
| Median gross rent | $914 | $1,021 ($677–$1,912) n=25,670 | $950 ($678–$1,545) n=343 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | SC median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 75.9 yr ± 0.62 | 78.9 yr (74.7–82.8) n=31,308 | 76.3 yr (73.2–79.9) n=389 |
About the ± — it’s this estimate’s give-or-take (statisticians call it the standard error). The true life expectancy for this ZIP most likely falls within 0.62 years of 75.9, and it’s very unlikely to be off by more than twice that.
More ZIPs to explore ▾More ZIPs to explore ▴
How these lists were built: they draw only from ZIPs that have a published Score, so ZIPs with too little data to score are not listed. Distance-based lists use distance between ZIP boundaries with no state filter, so an out-of-state ZIP can appear. Statistically similar means a close match across the nine Score domains, not a demographic match: the measure is the cosine similarity between two ZIPs’ domain scores, taken over the domains both ZIPs have data for and only where that overlap covers at least six of the nine — and where no ZIP clears that minimum-overlap floor, that list is left out rather than filled with a weak match. How distance is measured