ZIP code
29175
in Westville, South CarolinaPopulation 235
52.80/ 100
Ranked #12,374 of 32,066 US ZIPs (top 39%)
Ranked #104 of 417 South Carolina ZIPs (top 25%)
Ranked #13 of 47 Columbia, SC ZIPs (top 28%)
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.
Poverty rate
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Homeownership rate
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Arsenic in groundwater
1.3%
in the bottom 8.5% nationally
Lower is healthier
ST39thUS8thDefinition & 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 ›High cholesterol
44.2%
in the top 6.3% nationally
Lower is healthier
ST93rdUS94thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Expected annual disaster loss
$0
in the bottom 9.9% nationally
Lower is healthier
ST6thUS10thDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›Floodplain exposure
0.67%
in the bottom 10.5% nationally
Lower is healthier
ST5thUS10thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›Natural-disaster risk
in the bottom 11.5% nationally
Lower is healthier
ST8thUS11thDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›Walkability
2.9 intersections/sq mi
in the bottom 15.0% nationally
Higher is healthier
ST5thUS15thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›The read
Westville, South Carolina (ZIP 29175), overall, ranks in the top 39% healthiest ZIPs nationally (12,374th) and the top 25% of South Carolina (104th).
Reading the numbers as a whole, the picture lands somewhere in between: poverty resides at the national minimum, and homeownership settles at the national maximum. Unemployment is at the national minimum, shared with about 15% of ZIPs. Households without a vehicle sits at the national minimum, shared with about 16% of ZIPs. Modeled arsenic lands in the bottom 8.5% nationally, and expected annual loss lies in the bottom 9.9% nationally. Floodplain exposure stands in the bottom 10.5% nationally, and modeled disaster risk rests in the bottom 11.5% nationally. On the other side, modeled high cholesterol registers in the top 6.3% nationally, and humid heat resides in the top 12.9% nationally.
Defined simply, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. ZIP 29045, about 15 miles away, comes out healthier 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 Columbia, SC metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Social Need / SDOH
healthier than 75%
16%
Environmental Hazard
healthier than 89%
14%
Preventive Care
healthier than 88%
13%
Risk Behavior
healthier than 64%
11%
Mental Health
healthier than 72%
8%
About typical
Climate / Disaster Risk
healthier than 42%
5%
Holding it back
Chronic Disease Burden
healthier than 24%
21%
Disability
healthier than 39%
7%
Healthcare Access
healthier than 26%
5%
Lifting this score
Social Need / SDOH
healthier than 82%
16%
Environmental Hazard
healthier than 81%
14%
Preventive Care
healthier than 87%
13%
Risk Behavior
healthier than 77%
11%
Mental Health
healthier than 82%
8%
Disability
healthier than 62%
7%
Climate / Disaster Risk
healthier than 81%
5%
About typical
Chronic Disease Burden
healthier than 44%
21%
Holding it back
Healthcare Access
healthier than 10%
5%
Lifting this score
Social Need / SDOH
healthier than 85%
16%
Environmental Hazard
healthier than 93%
14%
Preventive Care
healthier than 83%
13%
Risk Behavior
healthier than 76%
11%
Mental Health
healthier than 78%
8%
Climate / Disaster Risk
in the top 0.00%
5%
About typical
Disability
healthier than 54%
7%
Holding it back
Chronic Disease Burden
healthier than 30%
21%
Healthcare Access
healthier than 11%
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 ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
29020
South Carolinashares a border
Score 49.69
Closest healthier
29045
South Carolinaabout 15 mi away
Score 55.67
Similar health profile
29566
South Carolina96% similar profile
Score 56.47
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 | 34.3% | 30.7–38.0 |
| High blood pressure among adults | 43.8% | 39.6–48.0 |
| Cancer (non-skin) or melanoma among adults | 10.7% | 9.6–11.8 |
| Current asthma among adults | 10.0% | 8.8–11.3 |
| Coronary heart disease among adults | 8.1% | 7.1–9.2 |
| Chronic obstructive pulmonary disease among adults | 8.9% | 7.4–10.7 |
| Depression among adults | 21.5% | 18.3–25.0 |
| Diagnosed diabetes among adults | 16.4% | 14.2–18.8 |
| High cholesterol among adults who have ever been screened | 44.2% | 39.8–48.5 |
| Obesity among adults | 35.0% | 28.5–41.7 |
| Stroke among adults | 4.8% | 4.2–5.5 |
| All teeth lost among adults aged >=65 years | 14.8% | 12.1–17.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.2% | 7.7–13.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 84.4% | 82.0–86.5 |
| Visits to doctor for routine checkup within the past year among adults | 83.3% | 80.2–86.1 |
| Cholesterol screening among adults | 89.0% | 87.0–90.8 |
| Colorectal cancer screening among adults aged 45–75 years | 69.7% | 65.1–74.2 |
| Visited dentist or dental clinic in the past year among adults | 62.7% | 59.1–66.3 |
| Mammography use among women aged 50-74 years | 79.6% | 73.0–85.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.2% | 10.7–15.8 |
| Current cigarette smoking among adults | 13.4% | 10.7–16.3 |
| No leisure-time physical activity among adults | 27.7% | 23.0–32.9 |
| Short sleep duration among adults | 37.6% | 32.0–43.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.0% | 17.7–24.7 |
| Frequent mental distress among adults | 15.4% | 13.4–17.5 |
| Frequent physical distress among adults | 15.4% | 13.3–17.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.0% | 11.8–16.4 |
| Any disability among adults | 33.1% | 28.5–38.2 |
| Hearing disability among adults | 8.0% | 6.9–9.1 |
| Independent living disability among adults | 9.2% | 7.8–10.7 |
| Mobility disability among adults | 18.2% | 15.5–21.3 |
| Self-care disability among adults | 4.7% | 4.0–5.6 |
| Vision disability among adults | 5.9% | 5.1–6.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.0% | 20.3–27.9 |
| Food insecurity in the past 12 months among adults | 16.2% | 12.8–20.0 |
| Received food stamps in the past 12 months among adults | 9.4% | 7.1–12.0 |
| Housing insecurity in the past 12 months among adults | 11.2% | 9.2–13.5 |
| Lack of reliable transportation in the past 12 months among adults | 7.7% | 6.4–9.1 |
| Loneliness among adults | 31.3% | 26.5–36.2 |
| Utility services shut-off threat in the past 12 months among adults | 7.4% | 6.1–8.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | SC median (p10–p90) |
|---|---|---|---|
| Poverty rate | 0.0% | 10.6% (3.1–25.8%) n=32,364 | 15.5% (6.2–28.7%) n=410 |
| Uninsured 18–64 | 7.2% | 9.0% (1.5–24.3%) n=32,286 | 14.1% (5.9–25.5%) n=412 |
| No HS diploma (25+) | 0.0% | 7.9% (1.8–20.7%) n=32,505 | 11.6% (3.4–21.1%) n=417 |
| Bachelor's or higher (25+) | 17.5% | 23.3% (9.2–53.6%) n=32,505 | 20.1% (9.1–48.9%) n=417 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 4.6% (0.2–11.1%) n=414 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 4.8% (0.0–13.6%) n=410 |
| Broadband subscription | 84.9% | 89.3% (75.1–97.1%) n=32,322 | 86.1% (71.4–95.1%) n=410 |
| Housing cost burden (≥30% income) | 15.1% | 23.7% (10.6–40.0%) n=32,322 | 23.3% (12.8–35.0%) n=410 |
| Homeownership rate | 100.0% | 78.7% (51.7–94.0%) n=32,322 | 77.3% (54.9–91.8%) n=410 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 1.4% (0.0–4.6%) n=410 |
| Foreign-born population | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 2.7% (0.0–9.0%) n=419 |
| Single-parent households | 62.7% | 53.6% (37.3–74.1%) n=32,087 | 50.9% (37.6–69.9%) n=404 |
| Population 65+ | 17.9% | 19.4% (10.8–33.6%) n=32,553 | 19.6% (10.9–31.7%) n=419 |
| Median age | 49.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.4 yr (33.8–54.1) n=415 |
| Median household income | $73,801 | $72,070 ($46,039–$118,707) n=30,318 | $58,990 ($40,800–$90,964) n=384 |
| Median home value | — | $222,200 ($100,300–$579,820) n=30,049 | $177,400 ($88,260–$384,940) n=383 |
| Median gross rent | — | $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 | 69.7 yr ± 2.29 | 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 2.29 years of 69.7, 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