ZIP code
29728
in Pageland, South CarolinaPopulation 9,043
37.14/ 100
Ranked #28,456 of 32,066 US ZIPs (bottom 11.3%)
Ranked #376 of 417 South Carolina ZIPs (bottom 9.9%)
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.
Obesity
47%
in the top 2.1% nationally
Lower is healthier
ST95thUS98thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Self-care disability
7.0%
in the top 5.9% nationally
Lower is healthier
ST83rdUS94thDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›Diabetes
18.9%
in the top 5.8% nationally
Lower is healthier
ST74thUS94thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Independent-living disability
13.1%
in the top 6.4% nationally
Lower is healthier
ST89thUS94thDefinition & 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 ›Food insecurity
31.3%
in the top 5.3% nationally
Lower is healthier
ST90thUS95thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Tooth loss
25.2%
in the top 7.0% nationally
Lower is healthier
ST92ndUS93rdDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
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 ›Uninsured (under 65)
17.5%
in the top 7.0% nationally
Lower is healthier
ST95thUS93rdDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Elder-services access
0.2 per 1,000 residents
in the top 7.0% nationally
Higher is healthier
ST95thUS93rdDefinition & source ›
The number of services for older adults and people with disabilities inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Utility shut-off threat
15.0%
in the top 7.0% nationally
Lower is healthier
ST84thUS93rdDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›The read
Pageland, South Carolina (ZIP 29728), on the composite measure, lands in the bottom 11.3% nationally (28,456th) and the bottom 9.9% of South Carolina (376th).
Where the data leans one way, another reading answers it: elder services settles in the top 7.0% nationally. On the other hand, modeled obesity stands in the top 2.1% nationally, self-care disability is in the top 5.9% nationally, and diabetes rests in the top 5.8% nationally. Modeled independent living disability sits in the top 6.4% nationally, and food insecurity registers in the top 5.3% nationally. Modeled tooth loss lands in the top 7.0% nationally, and vision disability resides in the top 7.2% nationally. Modeled uninsured lies in the top 7.0% nationally, and utility shutoff settles in the top 7.0% nationally.
A healthier neighbor overall sits at ZIP 28103, just across the boundary. Modeled independent living disability settles in the top 6.4% 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 64%
14%
About typical
Climate / Disaster Risk
healthier than 43%
5%
Healthcare Access
healthier than 41%
5%
Holding it back
Chronic Disease Burden
healthier than 12%
21%
Social Need / SDOH
healthier than 11%
16%
Preventive Care
healthier than 22%
13%
Risk Behavior
healthier than 9%
11%
Mental Health
healthier than 25%
8%
Disability
healthier than 8%
7%
Lifting this score
Climate / Disaster Risk
healthier than 84%
5%
About typical
Environmental Hazard
healthier than 46%
14%
Holding it back
Chronic Disease Burden
healthier than 21%
21%
Social Need / SDOH
healthier than 24%
16%
Preventive Care
healthier than 9%
13%
Risk Behavior
healthier than 6%
11%
Mental Health
healthier than 14%
8%
Disability
healthier than 11%
7%
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 ›
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.
Clean environment, heavy chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 63.8; chronic-disease standing 12.1 — 52 points apart, cleaner on the environment than it is on chronic illness.
Ranked #2,361 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
28103
North Carolinashares a border
Score 51.29
Closest healthier
28112
North Carolinashares a border
Score 49.25
Similar health profile
36502
Alabama100% similar profile
Score 29.43
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 | 32.0% | 28.9–35.3 |
| High blood pressure among adults | 45.0% | 41.0–49.1 |
| Cancer (non-skin) or melanoma among adults | 7.6% | 6.9–8.4 |
| Current asthma among adults | 10.7% | 9.5–12.1 |
| Coronary heart disease among adults | 8.6% | 7.8–9.5 |
| Chronic obstructive pulmonary disease among adults | 11.1% | 10.0–12.3 |
| Depression among adults | 23.7% | 20.5–27.4 |
| Diagnosed diabetes among adults | 18.9% | 16.9–21.2 |
| High cholesterol among adults who have ever been screened | 40.3% | 36.3–44.4 |
| Obesity among adults | 47.0% | 40.2–54.1 |
| Stroke among adults | 5.4% | 5.0–5.8 |
| All teeth lost among adults aged >=65 years | 25.2% | 21.3–29.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 17.5% | 15.4–19.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.0% | 78.6–83.3 |
| Visits to doctor for routine checkup within the past year among adults | 80.5% | 77.2–83.6 |
| Cholesterol screening among adults | 84.1% | 82.1–85.9 |
| Colorectal cancer screening among adults aged 45–75 years | 61.0% | 56.0–66.2 |
| Visited dentist or dental clinic in the past year among adults | 50.4% | 46.7–54.3 |
| Mammography use among women aged 50-74 years | 74.5% | 67.1–81.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.7% | 11.3–16.5 |
| Current cigarette smoking among adults | 20.2% | 17.8–22.9 |
| No leisure-time physical activity among adults | 37.1% | 32.6–42.0 |
| Short sleep duration among adults | 41.2% | 35.1–48.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 29.6% | 26.6–32.9 |
| Frequent mental distress among adults | 19.5% | 17.5–21.8 |
| Frequent physical distress among adults | 18.7% | 16.8–20.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 19.3% | 17.4–21.4 |
| Any disability among adults | 41.5% | 37.2–46.1 |
| Hearing disability among adults | 8.3% | 7.4–9.2 |
| Independent living disability among adults | 13.1% | 11.9–14.4 |
| Mobility disability among adults | 22.2% | 19.9–24.6 |
| Self-care disability among adults | 7.0% | 6.4–7.6 |
| Vision disability among adults | 9.1% | 8.3–9.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 27.8% | 24.0–31.8 |
| Food insecurity in the past 12 months among adults | 31.3% | 27.7–34.8 |
| Received food stamps in the past 12 months among adults | 22.2% | 19.5–25.0 |
| Housing insecurity in the past 12 months among adults | 21.0% | 18.4–23.6 |
| Lack of reliable transportation in the past 12 months among adults | 13.7% | 12.1–15.3 |
| Loneliness among adults | 34.5% | 29.4–39.5 |
| Utility services shut-off threat in the past 12 months among adults | 15.0% | 13.2–16.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | SC median (p10–p90) |
|---|---|---|---|
| Poverty rate | 23.2% | 10.6% (3.1–25.8%) n=32,364 | 15.5% (6.2–28.7%) n=410 |
| Uninsured 18–64 | 23.2% | 9.0% (1.5–24.3%) n=32,286 | 14.1% (5.9–25.5%) n=412 |
| No HS diploma (25+) | 20.4% | 7.9% (1.8–20.7%) n=32,505 | 11.6% (3.4–21.1%) n=417 |
| Bachelor's or higher (25+) | 9.2% | 23.3% (9.2–53.6%) n=32,505 | 20.1% (9.1–48.9%) n=417 |
| Unemployment rate (16+) | 7.4% | 3.9% (0.0–9.8%) n=32,274 | 4.6% (0.2–11.1%) n=414 |
| Households without a vehicle | 14.8% | 3.9% (0.0–12.5%) n=32,322 | 4.8% (0.0–13.6%) n=410 |
| Broadband subscription | 77.1% | 89.3% (75.1–97.1%) n=32,322 | 86.1% (71.4–95.1%) n=410 |
| Housing cost burden (≥30% income) | 22.8% | 23.7% (10.6–40.0%) n=32,322 | 23.3% (12.8–35.0%) n=410 |
| Homeownership rate | 64.5% | 78.7% (51.7–94.0%) n=32,322 | 77.3% (54.9–91.8%) n=410 |
| Crowded housing (>1 per room) | 3.2% | 1.3% (0.0–6.3%) n=32,322 | 1.4% (0.0–4.6%) n=410 |
| Foreign-born population | 5.5% | 2.6% (0.0–18.6%) n=32,553 | 2.7% (0.0–9.0%) n=419 |
| Single-parent households | 37.5% | 53.6% (37.3–74.1%) n=32,087 | 50.9% (37.6–69.9%) n=404 |
| Population 65+ | 15.0% | 19.4% (10.8–33.6%) n=32,553 | 19.6% (10.9–31.7%) n=419 |
| Median age | 40.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.4 yr (33.8–54.1) n=415 |
| Median household income | $45,250 | $72,070 ($46,039–$118,707) n=30,318 | $58,990 ($40,800–$90,964) n=384 |
| Median home value | $130,900 | $222,200 ($100,300–$579,820) n=30,049 | $177,400 ($88,260–$384,940) n=383 |
| Median gross rent | $716 | $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 | 76.5 yr ± 1.20 | 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 1.20 years of 76.5, 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