ZIP code
29010
in Bishopville, South CarolinaPopulation 11,861
37.84/ 100
Ranked #28,107 of 32,066 US ZIPs (bottom 12.4%)
Ranked #369 of 417 South Carolina ZIPs (bottom 11.6%)
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.
Self-care disability
7.8%
in the top 3.3% nationally
Lower is healthier
ST93rdUS97thDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›Diabetes
20.8%
in the top 2.7% nationally
Lower is healthier
ST88thUS97thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Stroke
6.1%
in the top 3.6% nationally
Lower is healthier
ST87thUS96thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Vision disability
9.8%
in the top 5.3% nationally
Lower is healthier
ST92ndUS95thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›High blood pressure
49.4%
in the top 4.0% nationally
Lower is healthier
ST88thUS96thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Utility shut-off threat
17.5%
in the top 4.2% nationally
Lower is healthier
ST94thUS96thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Food insecurity
33.1%
in the top 4.4% nationally
Lower is healthier
ST93rdUS96thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Independent-living disability
13.3%
in the top 5.8% nationally
Lower is healthier
ST91stUS94thDefinition & source ›
The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.
Full methodology ›Housing insecurity
23.7%
in the top 5.0% nationally
Lower is healthier
ST93rdUS95thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Fair or poor health
30.7%
in the top 7.2% nationally
Lower is healthier
ST92ndUS93rdDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›The read
Bishopville, South Carolina (ZIP 29010), by its overall standing, sits in the bottom 12.4% nationally (28,107th) and the bottom 11.6% of South Carolina (369th).
The data points to real strain across a number of measures here: modeled self-care disability stands in the top 3.3% nationally, diabetes lands in the top 2.7% nationally, and stroke is in the top 3.6% nationally. Modeled vision disability resides in the top 5.3% nationally, high blood pressure rests in the top 4.0% nationally, and utility shutoff lies in the top 4.2% nationally. Modeled food insecurity sits in the top 4.4% nationally, and independent living disability settles in the top 5.8% nationally. Modeled housing insecurity registers in the top 5.0% nationally, and fair or poor health stands in the top 7.2% nationally.
The nearest ZIP ranking healthier overall is ZIP 29009, just across the boundary. Modeled vision disability stands in the top 5.3% nationally.
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 83%
14%
Healthcare Access
healthier than 82%
5%
About typical
Mental Health
healthier than 43%
8%
Holding it back
Chronic Disease Burden
healthier than 9%
21%
Social Need / SDOH
healthier than 8%
16%
Preventive Care
healthier than 36%
13%
Risk Behavior
healthier than 11%
11%
Disability
healthier than 7%
7%
Climate / Disaster Risk
healthier than 25%
5%
Lifting this score
Environmental Hazard
healthier than 69%
14%
Healthcare Access
healthier than 82%
5%
About typical
Mental Health
healthier than 43%
8%
Climate / Disaster Risk
healthier than 41%
5%
Holding it back
Chronic Disease Burden
healthier than 13%
21%
Social Need / SDOH
healthier than 16%
16%
Preventive Care
healthier than 20%
13%
Risk Behavior
healthier than 8%
11%
Disability
healthier than 9%
7%
“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
3 of our published findings list 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 73.0 ± 1.1 years. A median household income of $43,500 predicts 76.8 years — 3.8 years below.
Ranked #4,950 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Below its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 73.0 ± 1.1 years. The 46 nearest ZIP codes with estimates average 75.2 years — 2.3 years below them.
Ranked #1,748 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Clean environment, heavy chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 82.4; chronic-disease standing 8.6 (bottom 10%) — 74 points apart, cleaner on the environment than it is on chronic illness.
Ranked #828 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
29009
South Carolinashares a border
Score 41.82
Closest healthier
29020
South Carolinashares a border
Score 49.69
Similar health profile
29944
South Carolina100% similar profile
Score 38.15
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 | 32.5% | 29.0–35.9 |
| High blood pressure among adults | 49.4% | 45.0–53.7 |
| Cancer (non-skin) or melanoma among adults | 7.3% | 6.6–8.0 |
| Current asthma among adults | 11.1% | 9.7–12.4 |
| Coronary heart disease among adults | 9.0% | 8.2–9.9 |
| Chronic obstructive pulmonary disease among adults | 11.0% | 9.9–12.1 |
| Depression among adults | 21.3% | 18.1–24.8 |
| Diagnosed diabetes among adults | 20.8% | 18.5–23.2 |
| High cholesterol among adults who have ever been screened | 40.1% | 35.6–44.4 |
| Obesity among adults | 44.6% | 36.8–52.7 |
| Stroke among adults | 6.1% | 5.7–6.6 |
| All teeth lost among adults aged >=65 years | 25.1% | 21.3–29.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 16.4% | 14.0–18.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.9% | 79.5–84.0 |
| Visits to doctor for routine checkup within the past year among adults | 82.3% | 79.1–85.2 |
| Cholesterol screening among adults | 84.9% | 83.0–86.6 |
| Colorectal cancer screening among adults aged 45–75 years | 65.6% | 60.8–70.4 |
| Visited dentist or dental clinic in the past year among adults | 49.0% | 45.4–52.8 |
| Mammography use among women aged 50-74 years | 76.2% | 68.8–82.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.6% | 10.3–15.3 |
| Current cigarette smoking among adults | 19.9% | 17.3–22.4 |
| No leisure-time physical activity among adults | 36.8% | 31.8–41.6 |
| Short sleep duration among adults | 42.1% | 35.4–49.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 30.7% | 27.4–33.8 |
| Frequent mental distress among adults | 18.8% | 16.7–20.9 |
| Frequent physical distress among adults | 17.8% | 15.8–19.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.7% | 16.7–20.6 |
| Any disability among adults | 40.0% | 35.4–44.4 |
| Hearing disability among adults | 7.8% | 6.9–8.7 |
| Independent living disability among adults | 13.3% | 11.9–14.6 |
| Mobility disability among adults | 23.0% | 20.5–25.5 |
| Self-care disability among adults | 7.8% | 7.1–8.4 |
| Vision disability among adults | 9.8% | 9.0–10.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 29.5% | 25.8–33.6 |
| Food insecurity in the past 12 months among adults | 33.1% | 29.7–36.6 |
| Received food stamps in the past 12 months among adults | 25.4% | 22.7–28.4 |
| Housing insecurity in the past 12 months among adults | 23.7% | 21.1–26.6 |
| Lack of reliable transportation in the past 12 months among adults | 15.6% | 13.9–17.3 |
| Loneliness among adults | 34.6% | 29.6–39.9 |
| Utility services shut-off threat in the past 12 months among adults | 17.5% | 15.6–19.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | SC median (p10–p90) |
|---|---|---|---|
| Poverty rate | 27.2% | 10.6% (3.1–25.8%) n=32,364 | 15.5% (6.2–28.7%) n=410 |
| Uninsured 18–64 | 17.2% | 9.0% (1.5–24.3%) n=32,286 | 14.1% (5.9–25.5%) n=412 |
| No HS diploma (25+) | 21.5% | 7.9% (1.8–20.7%) n=32,505 | 11.6% (3.4–21.1%) n=417 |
| Bachelor's or higher (25+) | 13.0% | 23.3% (9.2–53.6%) n=32,505 | 20.1% (9.1–48.9%) n=417 |
| Unemployment rate (16+) | 6.8% | 3.9% (0.0–9.8%) n=32,274 | 4.6% (0.2–11.1%) n=414 |
| Households without a vehicle | 10.2% | 3.9% (0.0–12.5%) n=32,322 | 4.8% (0.0–13.6%) n=410 |
| Broadband subscription | 87.1% | 89.3% (75.1–97.1%) n=32,322 | 86.1% (71.4–95.1%) n=410 |
| Housing cost burden (≥30% income) | 30.0% | 23.7% (10.6–40.0%) n=32,322 | 23.3% (12.8–35.0%) n=410 |
| Homeownership rate | 65.3% | 78.7% (51.7–94.0%) n=32,322 | 77.3% (54.9–91.8%) n=410 |
| Crowded housing (>1 per room) | 4.8% | 1.3% (0.0–6.3%) n=32,322 | 1.4% (0.0–4.6%) n=410 |
| Foreign-born population | 2.6% | 2.6% (0.0–18.6%) n=32,553 | 2.7% (0.0–9.0%) n=419 |
| Single-parent households | 39.7% | 53.6% (37.3–74.1%) n=32,087 | 50.9% (37.6–69.9%) n=404 |
| Population 65+ | 19.0% | 19.4% (10.8–33.6%) n=32,553 | 19.6% (10.9–31.7%) n=419 |
| Median age | 40.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.4 yr (33.8–54.1) n=415 |
| Median household income | $43,500 | $72,070 ($46,039–$118,707) n=30,318 | $58,990 ($40,800–$90,964) n=384 |
| Median home value | $103,400 | $222,200 ($100,300–$579,820) n=30,049 | $177,400 ($88,260–$384,940) n=383 |
| Median gross rent | $819 | $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 | 73.0 yr ± 0.57 | 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 0.57 years of 73.0, 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