ZIP code
29168
in Wedgefield, South CarolinaPopulation 2,903
35.93/ 100
Ranked #29,024 of 32,066 US ZIPs (bottom 9.5%)
Ranked #384 of 417 South Carolina ZIPs (bottom 8.0%)
Ranked #11 of 11 Sumter, SC ZIPs (bottom 9.1%)
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.
Short sleep
45.8%
in the top 2.2% nationally
Lower is healthier
ST98thUS98thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Self-care disability
7.2%
in the top 5.1% nationally
Lower is healthier
ST86thUS95thDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›Obesity
47.2%
in the top 2.0% nationally
Lower is healthier
ST96thUS98thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Diabetes
19.3%
in the top 5.0% nationally
Lower is healthier
ST77thUS95thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Nitrate in drinking water
4.8%
in the top 4.2% nationally
Lower is healthier
ST99thUS96thDefinition & source ›
The modeled share of this area’s domestic-well groundwater at or above the federal nitrate limit of 10 milligrams 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 ›Utility shut-off threat
16.2%
in the top 5.4% nationally
Lower is healthier
ST91stUS95thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Vision disability
9.1%
in the top 7.2% nationally
Lower is healthier
ST86thUS93rdDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Food insecurity
30.4%
in the top 5.9% nationally
Lower is healthier
ST88thUS94thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Floodplain exposure
41.1%
in the top 6.0% nationally
Lower is healthier
ST89thUS94thDefinition & 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 ›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 ›The read
Wedgefield, South Carolina (ZIP 29168), overall, ranks in the bottom 9.5% nationally (29,024th) and the bottom 8.0% of South Carolina (384th).
Taken together, the data gives a genuinely mixed reading: modeled short sleep is in the top 2.2% nationally. On the other side, modeled self-care disability sits in the top 5.1% nationally, obesity lands in the top 2.0% nationally, and diabetes lies in the top 5.0% nationally. Modeled nitrate stands in the top 4.2% nationally, and utility shutoff rests in the top 5.4% nationally. Modeled vision disability registers in the top 7.2% nationally, and food insecurity resides in the top 5.9% nationally. Floodplain exposure settles in the top 6.0% nationally, and modeled tooth loss is in the top 7.4% nationally.
Measured against the nearby ZIPs, park land runs far higher than the surrounding ZIPs on this measure. Defined simply, nitrate is a groundwater compound from fertilizer, manure, and sewage, here a modeled estimate of the chance private-well levels exceed a benchmark. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". ZIP 29044, just across the boundary, 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 Sumter, 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 60%
14%
About typical
Healthcare Access
healthier than 44%
5%
Holding it back
Chronic Disease Burden
healthier than 11%
21%
Social Need / SDOH
healthier than 5%
16%
Preventive Care
healthier than 37%
13%
Risk Behavior
healthier than 10%
11%
Mental Health
healthier than 33%
8%
Disability
healthier than 10%
7%
Climate / Disaster Risk
healthier than 6%
5%
Nothing measured is lifting this score.
About typical
Environmental Hazard
healthier than 43%
14%
Holding it back
Chronic Disease Burden
healthier than 18%
21%
Social Need / SDOH
healthier than 9%
16%
Preventive Care
healthier than 23%
13%
Risk Behavior
healthier than 7%
11%
Mental Health
healthier than 26%
8%
Disability
healthier than 14%
7%
Climate / Disaster Risk
healthier than 9%
5%
Healthcare Access
healthier than 33%
5%
Nothing measured is lifting this score.
About typical
Environmental Hazard
healthier than 40%
14%
Holding it back
Chronic Disease Burden
healthier than 30%
21%
Social Need / SDOH
in the bottom 0.00%
16%
Preventive Care
healthier than 20%
13%
Risk Behavior
healthier than 10%
11%
Mental Health
healthier than 10%
8%
Disability
in the bottom 0.00%
7%
Climate / Disaster Risk
healthier than 10%
5%
Healthcare Access
healthier than 30%
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
29044
South Carolinashares a border
Score 44.85
Closest healthier
29125
South Carolinashares a border
Score 42.81
Similar health profile
71770
Arkansas100% similar profile
Score 37.92
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 | 32.6% | 29.4–35.7 |
| High blood pressure among adults | 46.1% | 42.3–49.8 |
| Cancer (non-skin) or melanoma among adults | 7.2% | 6.5–8.0 |
| Current asthma among adults | 11.3% | 10.0–12.8 |
| Coronary heart disease among adults | 8.4% | 7.5–9.3 |
| Chronic obstructive pulmonary disease among adults | 10.8% | 9.5–12.1 |
| Depression among adults | 22.5% | 19.3–25.8 |
| Diagnosed diabetes among adults | 19.3% | 17.0–21.5 |
| High cholesterol among adults who have ever been screened | 39.4% | 35.6–43.3 |
| Obesity among adults | 47.2% | 41.2–53.4 |
| Stroke among adults | 5.6% | 5.1–6.1 |
| All teeth lost among adults aged >=65 years | 24.9% | 21.2–29.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 14.3% | 12.1–16.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.7% | 79.3–83.9 |
| Visits to doctor for routine checkup within the past year among adults | 82.3% | 79.3–85.1 |
| Cholesterol screening among adults | 85.3% | 83.5–87.1 |
| Colorectal cancer screening among adults aged 45–75 years | 66.0% | 61.4–70.5 |
| Visited dentist or dental clinic in the past year among adults | 50.2% | 46.6–53.7 |
| Mammography use among women aged 50-74 years | 73.5% | 65.9–80.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.6% | 10.4–15.1 |
| Current cigarette smoking among adults | 19.9% | 17.3–22.6 |
| No leisure-time physical activity among adults | 32.8% | 28.5–37.3 |
| Short sleep duration among adults | 45.8% | 40.4–51.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 28.0% | 24.8–31.4 |
| Frequent mental distress among adults | 19.2% | 17.1–21.4 |
| Frequent physical distress among adults | 17.7% | 15.7–19.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.3% | 16.3–20.6 |
| Any disability among adults | 37.6% | 33.6–42.0 |
| Hearing disability among adults | 7.5% | 6.6–8.3 |
| Independent living disability among adults | 12.7% | 11.3–14.2 |
| Mobility disability among adults | 21.5% | 19.0–24.0 |
| Self-care disability among adults | 7.2% | 6.4–7.9 |
| Vision disability among adults | 9.1% | 8.2–10.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 27.1% | 23.7–30.8 |
| Food insecurity in the past 12 months among adults | 30.4% | 26.9–34.1 |
| Received food stamps in the past 12 months among adults | 23.6% | 20.5–26.9 |
| Housing insecurity in the past 12 months among adults | 21.8% | 19.3–24.5 |
| Lack of reliable transportation in the past 12 months among adults | 14.4% | 12.8–16.2 |
| Loneliness among adults | 34.6% | 30.3–39.2 |
| Utility services shut-off threat in the past 12 months among adults | 16.2% | 14.4–18.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | SC median (p10–p90) |
|---|---|---|---|
| Poverty rate | 22.5% | 10.6% (3.1–25.8%) n=32,364 | 15.5% (6.2–28.7%) n=410 |
| Uninsured 18–64 | 36.2% | 9.0% (1.5–24.3%) n=32,286 | 14.1% (5.9–25.5%) n=412 |
| No HS diploma (25+) | 3.6% | 7.9% (1.8–20.7%) n=32,505 | 11.6% (3.4–21.1%) n=417 |
| Bachelor's or higher (25+) | 23.0% | 23.3% (9.2–53.6%) n=32,505 | 20.1% (9.1–48.9%) n=417 |
| Unemployment rate (16+) | 6.1% | 3.9% (0.0–9.8%) n=32,274 | 4.6% (0.2–11.1%) n=414 |
| Households without a vehicle | 4.7% | 3.9% (0.0–12.5%) n=32,322 | 4.8% (0.0–13.6%) n=410 |
| Broadband subscription | 89.9% | 89.3% (75.1–97.1%) n=32,322 | 86.1% (71.4–95.1%) n=410 |
| Housing cost burden (≥30% income) | 32.5% | 23.7% (10.6–40.0%) n=32,322 | 23.3% (12.8–35.0%) n=410 |
| Homeownership rate | 70.9% | 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 | 3.3% | 2.6% (0.0–18.6%) n=32,553 | 2.7% (0.0–9.0%) n=419 |
| Single-parent households | 53.5% | 53.6% (37.3–74.1%) n=32,087 | 50.9% (37.6–69.9%) n=404 |
| Population 65+ | 14.4% | 19.4% (10.8–33.6%) n=32,553 | 19.6% (10.9–31.7%) n=419 |
| Median age | 35.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.4 yr (33.8–54.1) n=415 |
| Median household income | $43,911 | $72,070 ($46,039–$118,707) n=30,318 | $58,990 ($40,800–$90,964) n=384 |
| Median home value | $34,900 | $222,200 ($100,300–$579,820) n=30,049 | $177,400 ($88,260–$384,940) n=383 |
| Median gross rent | $1,022 | $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 | 75.4 yr ± 0.98 | 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 0.98 years of 75.4, 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