ZIP code
29353
in Jonesville, South CarolinaPopulation 3,675
45.14/ 100
Ranked #22,262 of 32,066 US ZIPs (bottom 31%)
Ranked #245 of 417 South Carolina ZIPs (bottom 41%)
Ranked #22 of 36 Spartanburg, SC ZIPs (bottom 39%)
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 7.1% nationally
Lower is healthier
ST32ndUS7thDefinition & 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 ›The read
By the composite measure, Jonesville, South Carolina (ZIP 29353) sits in the bottom 31% nationally (22,262nd) and the bottom 41% of South Carolina (245th).
The readings split fairly evenly between strengths and concerns: modeled arsenic settles in the bottom 7.1% nationally, housing-cost burden stands in the bottom 14.4% nationally, and modeled tree cover is in the top 17% nationally. Working the other way, modeled diabetes rests in the top 11.0% nationally, high blood pressure sits in the top 11.1% nationally, and humid heat registers in the top 13.6% nationally. Modeled stroke lands in the top 12.8% nationally, and industrial-pollution burden resides in the top 16% nationally. Lead in tap water lies in the top 17% nationally, and modeled mobility disability settles in the top 17% nationally.
In plain language, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. ZIP 29302, just across the boundary, ranks 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 Spartanburg, 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 65%
14%
About typical
Preventive Care
healthier than 56%
13%
Mental Health
healthier than 48%
8%
Climate / Disaster Risk
healthier than 41%
5%
Healthcare Access
healthier than 45%
5%
Holding it back
Chronic Disease Burden
healthier than 17%
21%
Social Need / SDOH
healthier than 31%
16%
Risk Behavior
healthier than 36%
11%
Disability
healthier than 22%
7%
Lifting this score
Climate / Disaster Risk
healthier than 80%
5%
About typical
Social Need / SDOH
healthier than 47%
16%
Environmental Hazard
healthier than 47%
14%
Preventive Care
healthier than 51%
13%
Risk Behavior
healthier than 45%
11%
Mental Health
healthier than 50%
8%
Holding it back
Chronic Disease Burden
healthier than 33%
21%
Disability
healthier than 39%
7%
Healthcare Access
healthier than 35%
5%
Lifting this score
Environmental Hazard
healthier than 94%
14%
Preventive Care
healthier than 63%
13%
Mental Health
healthier than 83%
8%
About typical
Risk Behavior
healthier than 51%
11%
Holding it back
Chronic Disease Burden
healthier than 9%
21%
Social Need / SDOH
healthier than 31%
16%
Disability
healthier than 23%
7%
Climate / Disaster Risk
healthier than 29%
5%
Healthcare Access
healthier than 26%
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
29302
South Carolinashares a border
Score 51.29
Closest healthier
29374
South Carolinashares a border
Score 50.18
Similar health profile
23843
Virginia99% similar profile
Score 38.98
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 | 33.8% | 30.3–37.4 |
| High blood pressure among adults | 45.5% | 41.2–49.8 |
| Cancer (non-skin) or melanoma among adults | 9.4% | 8.5–10.4 |
| Current asthma among adults | 10.3% | 9.1–11.6 |
| Coronary heart disease among adults | 8.7% | 7.8–9.6 |
| Chronic obstructive pulmonary disease among adults | 10.1% | 9.0–11.3 |
| Depression among adults | 22.5% | 19.3–26.1 |
| Diagnosed diabetes among adults | 17.2% | 15.2–19.5 |
| High cholesterol among adults who have ever been screened | 42.3% | 37.9–46.8 |
| Obesity among adults | 41.2% | 33.6–49.0 |
| Stroke among adults | 5.1% | 4.7–5.5 |
| All teeth lost among adults aged >=65 years | 16.9% | 13.3–21.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 12.6% | 10.7–14.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 82.7% | 80.3–84.9 |
| Visits to doctor for routine checkup within the past year among adults | 81.5% | 78.3–84.5 |
| Cholesterol screening among adults | 86.8% | 85.1–88.5 |
| Colorectal cancer screening among adults aged 45–75 years | 67.2% | 60.9–73.1 |
| Visited dentist or dental clinic in the past year among adults | 57.2% | 52.5–61.7 |
| Mammography use among women aged 50-74 years | 75.3% | 66.0–83.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.7% | 12.1–17.7 |
| Current cigarette smoking among adults | 16.7% | 14.3–19.0 |
| No leisure-time physical activity among adults | 30.2% | 25.6–35.0 |
| Short sleep duration among adults | 37.5% | 29.7–46.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 24.9% | 21.9–27.9 |
| Frequent mental distress among adults | 17.4% | 15.5–19.4 |
| Frequent physical distress among adults | 16.6% | 14.7–18.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.3% | 14.6–18.2 |
| Any disability among adults | 37.9% | 33.4–42.5 |
| Hearing disability among adults | 8.6% | 7.7–9.7 |
| Independent living disability among adults | 10.6% | 9.4–11.7 |
| Mobility disability among adults | 20.1% | 17.8–22.6 |
| Self-care disability among adults | 5.5% | 5.0–6.1 |
| Vision disability among adults | 6.9% | 6.3–7.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.4% | 21.9–29.3 |
| Food insecurity in the past 12 months among adults | 20.1% | 17.4–23.0 |
| Received food stamps in the past 12 months among adults | 12.8% | 11.0–14.8 |
| Housing insecurity in the past 12 months among adults | 14.5% | 12.6–16.6 |
| Lack of reliable transportation in the past 12 months among adults | 9.5% | 8.3–10.6 |
| Loneliness among adults | 32.6% | 27.7–37.9 |
| Utility services shut-off threat in the past 12 months among adults | 9.8% | 8.5–11.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | SC median (p10–p90) |
|---|---|---|---|
| Poverty rate | 15.0% | 10.6% (3.1–25.8%) n=32,364 | 15.5% (6.2–28.7%) n=410 |
| Uninsured 18–64 | 13.1% | 9.0% (1.5–24.3%) n=32,286 | 14.1% (5.9–25.5%) n=412 |
| No HS diploma (25+) | 17.9% | 7.9% (1.8–20.7%) n=32,505 | 11.6% (3.4–21.1%) n=417 |
| Bachelor's or higher (25+) | 12.2% | 23.3% (9.2–53.6%) n=32,505 | 20.1% (9.1–48.9%) n=417 |
| Unemployment rate (16+) | 4.4% | 3.9% (0.0–9.8%) n=32,274 | 4.6% (0.2–11.1%) n=414 |
| Households without a vehicle | 7.0% | 3.9% (0.0–12.5%) n=32,322 | 4.8% (0.0–13.6%) n=410 |
| Broadband subscription | 82.9% | 89.3% (75.1–97.1%) n=32,322 | 86.1% (71.4–95.1%) n=410 |
| Housing cost burden (≥30% income) | 13.1% | 23.7% (10.6–40.0%) n=32,322 | 23.3% (12.8–35.0%) n=410 |
| Homeownership rate | 81.7% | 78.7% (51.7–94.0%) n=32,322 | 77.3% (54.9–91.8%) n=410 |
| Crowded housing (>1 per room) | 0.6% | 1.3% (0.0–6.3%) n=32,322 | 1.4% (0.0–4.6%) n=410 |
| Foreign-born population | 1.6% | 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+ | 26.8% | 19.4% (10.8–33.6%) n=32,553 | 19.6% (10.9–31.7%) n=419 |
| Median age | 50.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.4 yr (33.8–54.1) n=415 |
| Median household income | $64,494 | $72,070 ($46,039–$118,707) n=30,318 | $58,990 ($40,800–$90,964) n=384 |
| Median home value | $116,800 | $222,200 ($100,300–$579,820) n=30,049 | $177,400 ($88,260–$384,940) n=383 |
| Median gross rent | $499 | $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 | 74.9 yr ± 1.29 | 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 1.29 years of 74.9, 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