ZIP code
29493
in Williams, South CarolinaPopulation 156
38.88/ 100
Ranked #27,486 of 32,066 US ZIPs (bottom 14.3%)
Ranked #355 of 417 South Carolina ZIPs (bottom 14.9%)
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.
Fiber broadband
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›Transportation noise
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›PFAS in drinking water
6.5%
in the bottom 2.7% nationally
Lower is healthier
ST4thUS3rdDefinition & 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 ›Poverty rate
41.7%
in the top 2.7% nationally
Lower is healthier
ST97thUS97thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Arsenic in groundwater
1.1%
in the bottom 4.6% nationally
Lower is healthier
ST23rdUS5thDefinition & 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 ›Housing-cost burden
5.7%
in the bottom 5.5% nationally
Lower is healthier
ST5thUS5thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Stroke
5.7%
in the top 6.0% nationally
Lower is healthier
ST79thUS94thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Tooth loss
24.9%
in the top 7.4% nationally
Lower is healthier
ST91stUS93rdDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Colon-cancer screening
56.6%
in the bottom 6.8% nationally
Higher is healthier
ST1stUS7thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Mammography
67.9%
in the bottom 7.4% nationally
Higher is healthier
ST1stUS7thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›The read
On balance, and by the composite measure, Williams, South Carolina (ZIP 29493) ranks in the bottom 14.3% nationally (27,486th) and the bottom 14.9% of South Carolina (355th).
The burdens that read clearest in the data come first: poverty stands in the top 2.7% nationally, and modeled stroke settles in the top 6.0% nationally. Modeled tooth loss lies in the top 7.4% nationally, and colon screening resides in the bottom 6.8% nationally. Modeled mammography lands in the bottom 7.4% nationally. Better still, fiber broadband registers at the national maximum, modeled transportation noise sits at the national minimum, and modeled pfas rests in the bottom 2.7% nationally. Modeled arsenic is in the bottom 4.6% nationally, and housing-cost burden stands in the bottom 5.5% nationally.
In plainer terms, 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. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. For a healthier nearby ZIP overall, look to ZIP 29475, 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental Hazard
healthier than 85%
14%
Holding it back
Chronic Disease Burden
healthier than 12%
21%
Social Need / SDOH
healthier than 17%
16%
Preventive Care
healthier than 23%
13%
Risk Behavior
healthier than 15%
11%
Mental Health
healthier than 39%
8%
Disability
healthier than 11%
7%
Climate / Disaster Risk
healthier than 24%
5%
Healthcare Access
healthier than 25%
5%
Lifting this score
Environmental Hazard
healthier than 73%
14%
Holding it back
Chronic Disease Burden
healthier than 21%
21%
Social Need / SDOH
healthier than 33%
16%
Preventive Care
healthier than 9%
13%
Risk Behavior
healthier than 15%
11%
Mental Health
healthier than 34%
8%
Disability
healthier than 19%
7%
Climate / Disaster Risk
healthier than 38%
5%
Healthcare Access
healthier than 8%
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
29475
South Carolinashares a border
Score 42.79
Closest healthier
29481
South Carolinashares a border
Score 40.75
Similar health profile
31549
Georgia99% similar profile
Score 25.62
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 | 34.7% | 31.3–38.1 |
| High blood pressure among adults | 46.3% | 42.2–50.3 |
| Cancer (non-skin) or melanoma among adults | 9.1% | 8.2–10.1 |
| Current asthma among adults | 10.8% | 9.6–12.0 |
| Coronary heart disease among adults | 9.1% | 8.1–10.1 |
| Chronic obstructive pulmonary disease among adults | 10.8% | 9.4–12.4 |
| Depression among adults | 22.9% | 19.7–26.1 |
| Diagnosed diabetes among adults | 18.0% | 15.8–20.3 |
| High cholesterol among adults who have ever been screened | 38.3% | 34.1–42.4 |
| Obesity among adults | 40.6% | 33.9–47.5 |
| Stroke among adults | 5.7% | 5.1–6.4 |
| All teeth lost among adults aged >=65 years | 24.9% | 20.9–29.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 13.1% | 10.8–16.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 83.1% | 80.5–85.3 |
| Visits to doctor for routine checkup within the past year among adults | 81.3% | 78.0–84.2 |
| Cholesterol screening among adults | 86.9% | 84.9–88.8 |
| Colorectal cancer screening among adults aged 45–75 years | 56.6% | 51.6–61.7 |
| Visited dentist or dental clinic in the past year among adults | 51.7% | 47.8–55.4 |
| Mammography use among women aged 50-74 years | 67.9% | 59.4–75.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.0% | 10.7–15.6 |
| Current cigarette smoking among adults | 19.8% | 16.9–22.9 |
| No leisure-time physical activity among adults | 35.9% | 30.8–40.8 |
| Short sleep duration among adults | 39.9% | 34.0–45.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 27.5% | 24.0–31.2 |
| Frequent mental distress among adults | 18.2% | 16.1–20.3 |
| Frequent physical distress among adults | 17.9% | 15.8–20.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.4% | 15.3–19.6 |
| Any disability among adults | 37.8% | 33.3–42.2 |
| Hearing disability among adults | 9.2% | 8.2–10.3 |
| Independent living disability among adults | 12.2% | 10.8–13.8 |
| Mobility disability among adults | 22.1% | 19.4–25.1 |
| Self-care disability among adults | 6.5% | 5.7–7.4 |
| Vision disability among adults | 8.2% | 7.3–9.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 26.3% | 22.3–30.4 |
| Food insecurity in the past 12 months among adults | 24.9% | 21.0–29.0 |
| Received food stamps in the past 12 months among adults | 17.2% | 14.4–20.2 |
| Housing insecurity in the past 12 months among adults | 18.0% | 15.4–20.9 |
| Lack of reliable transportation in the past 12 months among adults | 11.2% | 9.7–12.9 |
| Loneliness among adults | 32.2% | 27.5–37.2 |
| Utility services shut-off threat in the past 12 months among adults | 13.1% | 11.3–15.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | SC median (p10–p90) |
|---|---|---|---|
| Poverty rate | 41.7% | 10.6% (3.1–25.8%) n=32,364 | 15.5% (6.2–28.7%) n=410 |
| Uninsured 18–64 | 27.0% | 9.0% (1.5–24.3%) n=32,286 | 14.1% (5.9–25.5%) n=412 |
| No HS diploma (25+) | 4.9% | 7.9% (1.8–20.7%) n=32,505 | 11.6% (3.4–21.1%) n=417 |
| Bachelor's or higher (25+) | 14.8% | 23.3% (9.2–53.6%) n=32,505 | 20.1% (9.1–48.9%) n=417 |
| Unemployment rate (16+) | 6.3% | 3.9% (0.0–9.8%) n=32,274 | 4.6% (0.2–11.1%) n=414 |
| Households without a vehicle | 11.4% | 3.9% (0.0–12.5%) n=32,322 | 4.8% (0.0–13.6%) n=410 |
| Broadband subscription | 88.6% | 89.3% (75.1–97.1%) n=32,322 | 86.1% (71.4–95.1%) n=410 |
| Housing cost burden (≥30% income) | 5.7% | 23.7% (10.6–40.0%) n=32,322 | 23.3% (12.8–35.0%) n=410 |
| Homeownership rate | 92.9% | 78.7% (51.7–94.0%) n=32,322 | 77.3% (54.9–91.8%) n=410 |
| Crowded housing (>1 per room) | 2.9% | 1.3% (0.0–6.3%) n=32,322 | 1.4% (0.0–4.6%) n=410 |
| Foreign-born population | 1.9% | 2.6% (0.0–18.6%) n=32,553 | 2.7% (0.0–9.0%) n=419 |
| Single-parent households | 61.3% | 53.6% (37.3–74.1%) n=32,087 | 50.9% (37.6–69.9%) n=404 |
| Population 65+ | 8.3% | 19.4% (10.8–33.6%) n=32,553 | 19.6% (10.9–31.7%) n=419 |
| Median age | 50.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.4 yr (33.8–54.1) n=415 |
| Median household income | — | $72,070 ($46,039–$118,707) n=30,318 | $58,990 ($40,800–$90,964) n=384 |
| Median home value | $92,800 | $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 | 73.6 yr ± 1.92 | 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 1.92 years of 73.6, 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