ZIP code
29323
in Chesnee, South CarolinaPopulation 15,573
47.40/ 100
Ranked #19,672 of 32,066 US ZIPs (bottom 39%)
Ranked #198 of 417 South Carolina ZIPs (top 47%)
Ranked #17 of 36 Spartanburg, SC ZIPs (top 47%)
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
1.0%
in the bottom 2.7% nationally
Lower is healthier
ST14thUS3rdDefinition & 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 ›Lead in tap water
0 ppb
at the national minimum
Lower is healthier
US1stDefinition & source ›
The lead level at the 90th percentile of tap-water samples reported by the public water systems serving this ZIP, in parts per billion — the EPA requires action above 15 ppb.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›PFAS in drinking water
62.9%
in the top 6.9% nationally
Lower is healthier
ST90thUS93rdDefinition & source ›
The modeled probability that PFAS “forever chemicals” would be detected in untreated groundwater in this area, the source private wells draw on.
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 ›Humid extreme heat
104.5 days/year
in the top 20% nationally
Lower is healthier
ST5thUS80thDefinition & source ›
The average number of days per year when modeled heat stress — temperature, humidity, sun, and wind combined — reaches levels hard on the body outdoors.
Full methodology ›The read
Chesnee, South Carolina (ZIP 29323), on the composite measure, lands in the bottom 39% nationally (19,672nd) and the top 47% of South Carolina (198th).
The profile cuts both ways, and the readings bear that out: modeled arsenic registers in the bottom 2.7% nationally, and lead in tap water lands at the national minimum. Distance to a community health center resides at the national minimum, shared with about 23% of ZIPs. Outer-floodplain exposure lies at the national minimum, shared with about 36% of ZIPs. Modeled mammography settles in the top 18% nationally. Working the other way, modeled pfas stands in the top 6.9% nationally, and industrial-pollution burden is in the top 11.2% nationally. Fatal road crashes rests in the top 14.5% nationally. Distance to a hazardous-chemical facility sits at the national minimum, shared with about 31% of ZIPs. Physicians registers at the national minimum, shared with about 38% of ZIPs.
In everyday language, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. A healthier neighbor overall sits at ZIP 29307, just across the boundary.
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 Spartanburg, SC metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Healthcare Access
healthier than 65%
5%
About typical
Social Need / SDOH
healthier than 50%
16%
Preventive Care
healthier than 53%
13%
Climate / Disaster Risk
healthier than 50%
5%
Holding it back
Chronic Disease Burden
healthier than 37%
21%
Environmental Hazard
healthier than 26%
14%
Risk Behavior
healthier than 35%
11%
Mental Health
healthier than 28%
8%
Disability
healthier than 34%
7%
Lifting this score
Social Need / SDOH
healthier than 63%
16%
Climate / Disaster Risk
healthier than 95%
5%
Healthcare Access
healthier than 61%
5%
About typical
Chronic Disease Burden
healthier than 58%
21%
Preventive Care
healthier than 47%
13%
Risk Behavior
healthier than 44%
11%
Disability
healthier than 58%
7%
Holding it back
Environmental Hazard
healthier than 19%
14%
Mental Health
healthier than 19%
8%
Lifting this score
Environmental Hazard
healthier than 71%
14%
Climate / Disaster Risk
healthier than 77%
5%
About typical
Social Need / SDOH
healthier than 49%
16%
Preventive Care
healthier than 54%
13%
Risk Behavior
healthier than 49%
11%
Disability
healthier than 46%
7%
Healthcare Access
healthier than 49%
5%
Holding it back
Chronic Disease Burden
healthier than 34%
21%
Mental Health
healthier than 34%
8%
“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 75.8 ± 1.4 years. A median household income of $63,263 predicts 78.3 years — 2.5 years below.
Ranked #3,401 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
28139
North Carolinashares a border
Score 46.02
Closest healthier
29307
South Carolinashares a border
Score 51.66
Similar health profile
46173
Indiana95% similar profile
Score 44.39
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 | 31.2% | 28.9–33.8 |
| High blood pressure among adults | 39.9% | 37.1–42.9 |
| Cancer (non-skin) or melanoma among adults | 9.0% | 8.3–9.8 |
| Current asthma among adults | 9.9% | 8.9–11.0 |
| Coronary heart disease among adults | 7.5% | 6.9–8.2 |
| Chronic obstructive pulmonary disease among adults | 9.0% | 8.2–10.0 |
| Depression among adults | 25.3% | 22.7–28.4 |
| Diagnosed diabetes among adults | 14.5% | 13.0–16.1 |
| High cholesterol among adults who have ever been screened | 40.7% | 37.7–43.8 |
| Obesity among adults | 38.1% | 33.9–42.6 |
| Stroke among adults | 4.2% | 3.9–4.5 |
| All teeth lost among adults aged >=65 years | 16.7% | 14.2–19.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 12.5% | 11.0–14.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.6% | 78.3–82.6 |
| Visits to doctor for routine checkup within the past year among adults | 78.8% | 76.0–81.5 |
| Cholesterol screening among adults | 85.7% | 83.9–87.2 |
| Colorectal cancer screening among adults aged 45–75 years | 65.9% | 62.0–69.8 |
| Visited dentist or dental clinic in the past year among adults | 61.2% | 58.2–64.2 |
| Mammography use among women aged 50-74 years | 78.9% | 73.8–83.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.9% | 13.7–18.5 |
| Current cigarette smoking among adults | 16.2% | 14.3–18.3 |
| No leisure-time physical activity among adults | 28.8% | 25.7–32.2 |
| Short sleep duration among adults | 37.2% | 33.2–41.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 22.3% | 20.1–24.7 |
| Frequent mental distress among adults | 17.8% | 16.2–19.7 |
| Frequent physical distress among adults | 15.8% | 14.3–17.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.4% | 14.9–18.2 |
| Any disability among adults | 35.9% | 32.8–39.4 |
| Hearing disability among adults | 7.8% | 7.1–8.7 |
| Independent living disability among adults | 9.7% | 8.8–10.7 |
| Mobility disability among adults | 17.4% | 15.6–19.2 |
| Self-care disability among adults | 4.7% | 4.3–5.1 |
| Vision disability among adults | 6.0% | 5.5–6.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.0% | 22.1–28.1 |
| Food insecurity in the past 12 months among adults | 17.8% | 15.7–20.1 |
| Received food stamps in the past 12 months among adults | 11.1% | 9.7–12.6 |
| Housing insecurity in the past 12 months among adults | 13.2% | 11.5–14.8 |
| Lack of reliable transportation in the past 12 months among adults | 8.7% | 7.8–9.7 |
| Loneliness among adults | 32.6% | 29.1–36.3 |
| Utility services shut-off threat in the past 12 months among adults | 8.7% | 7.7–9.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | SC median (p10–p90) |
|---|---|---|---|
| Poverty rate | 15.6% | 10.6% (3.1–25.8%) n=32,364 | 15.5% (6.2–28.7%) n=410 |
| Uninsured 18–64 | 11.8% | 9.0% (1.5–24.3%) n=32,286 | 14.1% (5.9–25.5%) n=412 |
| No HS diploma (25+) | 9.3% | 7.9% (1.8–20.7%) n=32,505 | 11.6% (3.4–21.1%) n=417 |
| Bachelor's or higher (25+) | 16.9% | 23.3% (9.2–53.6%) n=32,505 | 20.1% (9.1–48.9%) n=417 |
| Unemployment rate (16+) | 2.4% | 3.9% (0.0–9.8%) n=32,274 | 4.6% (0.2–11.1%) n=414 |
| Households without a vehicle | 2.8% | 3.9% (0.0–12.5%) n=32,322 | 4.8% (0.0–13.6%) n=410 |
| Broadband subscription | 90.2% | 89.3% (75.1–97.1%) n=32,322 | 86.1% (71.4–95.1%) n=410 |
| Housing cost burden (≥30% income) | 20.3% | 23.7% (10.6–40.0%) n=32,322 | 23.3% (12.8–35.0%) n=410 |
| Homeownership rate | 81.0% | 78.7% (51.7–94.0%) n=32,322 | 77.3% (54.9–91.8%) n=410 |
| Crowded housing (>1 per room) | 2.5% | 1.3% (0.0–6.3%) n=32,322 | 1.4% (0.0–4.6%) n=410 |
| Foreign-born population | 3.8% | 2.6% (0.0–18.6%) n=32,553 | 2.7% (0.0–9.0%) n=419 |
| Single-parent households | 52.3% | 53.6% (37.3–74.1%) n=32,087 | 50.9% (37.6–69.9%) n=404 |
| Population 65+ | 17.6% | 19.4% (10.8–33.6%) n=32,553 | 19.6% (10.9–31.7%) n=419 |
| Median age | 38.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.4 yr (33.8–54.1) n=415 |
| Median household income | $63,263 | $72,070 ($46,039–$118,707) n=30,318 | $58,990 ($40,800–$90,964) n=384 |
| Median home value | $197,700 | $222,200 ($100,300–$579,820) n=30,049 | $177,400 ($88,260–$384,940) n=383 |
| Median gross rent | $896 | $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 | 75.8 yr ± 0.69 | 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 0.69 years of 75.8, 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