ZIP code
29941
in Sheldon, South CarolinaPopulation 329
49.12/ 100
Ranked #17,485 of 32,066 US ZIPs (bottom 45%)
Ranked #168 of 417 South Carolina ZIPs (top 40%)
Ranked #13 of 19 Hilton Head Island-Bluffton-Port Royal, SC ZIPs (bottom 32%)
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.
Coronary heart disease
14.9%
in the top 0.2% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Hearing disability
15.6%
in the top 0.3% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Loneliness
23.4%
in the bottom 0.06% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›High cholesterol
52.6%
in the top 0.09% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Stroke
7.3%
in the top 0.8% nationally
Lower is healthier
ST98thUS99thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›High blood pressure
55.4%
in the top 0.8% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Colon-cancer screening
78.7%
in the top 0.5% nationally
Higher is healthier
ST98thUS99thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Diabetes
20.7%
in the top 2.8% nationally
Lower is healthier
ST87thUS97thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Binge drinking
10.1%
in the bottom 1.4% nationally
Lower is healthier
ST2ndUS1stDefinition & source ›
The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.
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 ›Cross-source signals
Combined exposures in this ZIP
More than one environmental exposure stands out in this ZIP. Each is established independently and shown on its own above; they are grouped here for context — not because one causes the other.
This area ranks among the highest 10% of US ZIP codes for both humid-heat days and flood exposure.
See the full flooding, evacuation & humid-heat analysis →
The read
Sheldon, South Carolina (ZIP 29941), in overall standing, comes out in the bottom 45% nationally (17,485th) and the top 40% of South Carolina (168th).
The profile carries real weight, and several readings make that plain: modeled coronary heart disease lands in the top 0.2% nationally, hearing disability rests in the top 0.3% nationally, and high cholesterol settles in the top 0.09% nationally. Modeled stroke lands in the top 0.8% nationally, high blood pressure rests in the top 0.8% nationally, and diabetes settles in the top 2.8% nationally. Better still, modeled loneliness lands in the bottom 0.06% nationally, and colon screening rests in the top 0.5% nationally. Modeled binge drinking settles in the bottom 1.4% nationally, and transportation noise lands at the national minimum.
Set within its surrounding area, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. Defined simply, for reference, transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. The closest healthier ZIP overall is ZIP 29936, 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. Compare it against the US, this state and the Hilton Head Island-Bluffton-Port Royal, SC metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Social Need / SDOH
healthier than 84%
16%
Environmental Hazard
healthier than 93%
14%
Preventive Care
healthier than 99%
13%
Risk Behavior
healthier than 94%
11%
Mental Health
healthier than 98%
8%
About typical
Healthcare Access
healthier than 46%
5%
Holding it back
Chronic Disease Burden
healthier than 1%
21%
Disability
healthier than 11%
7%
Climate / Disaster Risk
healthier than 2%
5%
Lifting this score
Social Need / SDOH
healthier than 89%
16%
Environmental Hazard
healthier than 90%
14%
Preventive Care
healthier than 98%
13%
Risk Behavior
healthier than 98%
11%
Mental Health
healthier than 99%
8%
Holding it back
Chronic Disease Burden
in the bottom 1.0%
21%
Disability
healthier than 17%
7%
Climate / Disaster Risk
in the bottom 1.0%
5%
Healthcare Access
healthier than 38%
5%
Lifting this score
Social Need / SDOH
healthier than 61%
16%
Environmental Hazard
healthier than 83%
14%
Preventive Care
healthier than 83%
13%
Risk Behavior
healthier than 78%
11%
Mental Health
healthier than 78%
8%
Holding it back
Chronic Disease Burden
in the bottom 0.00%
21%
Disability
healthier than 6%
7%
Climate / Disaster Risk
healthier than 6%
5%
Healthcare Access
healthier than 28%
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
29906
South Carolinashares a border
Score 49.04
Closest healthier
29936
South Carolinashares a border
Score 50.70
Similar health profile
33872
Florida98% similar profile
Score 49.38
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 | 47.4% | 43.4–51.3 |
| High blood pressure among adults | 55.4% | 51.3–59.3 |
| Cancer (non-skin) or melanoma among adults | 18.3% | 16.5–20.3 |
| Current asthma among adults | 8.6% | 7.6–9.8 |
| Coronary heart disease among adults | 14.9% | 12.8–17.1 |
| Chronic obstructive pulmonary disease among adults | 14.4% | 11.4–17.6 |
| Depression among adults | 17.3% | 14.9–20.1 |
| Diagnosed diabetes among adults | 20.7% | 17.7–23.9 |
| High cholesterol among adults who have ever been screened | 52.6% | 48.6–56.6 |
| Obesity among adults | 31.4% | 26.8–36.4 |
| Stroke among adults | 7.3% | 6.1–8.5 |
| All teeth lost among adults aged >=65 years | 15.9% | 13.1–18.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.8% | 6.4–12.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 90.8% | 88.9–92.5 |
| Visits to doctor for routine checkup within the past year among adults | 88.5% | 86.5–90.3 |
| Cholesterol screening among adults | 93.8% | 92.5–94.8 |
| Colorectal cancer screening among adults aged 45–75 years | 78.7% | 74.9–82.0 |
| Visited dentist or dental clinic in the past year among adults | 64.4% | 61.1–67.4 |
| Mammography use among women aged 50-74 years | 75.9% | 69.2–81.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 10.1% | 8.4–11.9 |
| Current cigarette smoking among adults | 13.2% | 10.1–16.7 |
| No leisure-time physical activity among adults | 28.4% | 23.0–34.2 |
| Short sleep duration among adults | 28.1% | 24.2–31.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 22.7% | 18.3–27.5 |
| Frequent mental distress among adults | 11.4% | 9.8–13.3 |
| Frequent physical distress among adults | 18.4% | 15.5–21.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.0% | 9.9–14.4 |
| Any disability among adults | 39.6% | 34.0–45.2 |
| Hearing disability among adults | 15.6% | 13.6–17.9 |
| Independent living disability among adults | 10.2% | 8.3–12.4 |
| Mobility disability among adults | 24.7% | 20.3–29.3 |
| Self-care disability among adults | 6.1% | 5.0–7.4 |
| Vision disability among adults | 7.5% | 6.1–9.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 17.4% | 14.4–20.9 |
| Food insecurity in the past 12 months among adults | 12.5% | 9.3–16.5 |
| Received food stamps in the past 12 months among adults | 7.8% | 5.5–10.6 |
| Housing insecurity in the past 12 months among adults | 6.7% | 5.2–8.5 |
| Lack of reliable transportation in the past 12 months among adults | 5.7% | 4.6–7.1 |
| Loneliness among adults | 23.4% | 19.7–27.3 |
| Utility services shut-off threat in the past 12 months among adults | 4.9% | 3.9–5.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | SC median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.7% | 10.6% (3.1–25.8%) n=32,364 | 15.5% (6.2–28.7%) n=410 |
| Uninsured 18–64 | 0.0% | 9.0% (1.5–24.3%) n=32,286 | 14.1% (5.9–25.5%) n=412 |
| No HS diploma (25+) | 0.0% | 7.9% (1.8–20.7%) n=32,505 | 11.6% (3.4–21.1%) n=417 |
| Bachelor's or higher (25+) | 71.1% | 23.3% (9.2–53.6%) n=32,505 | 20.1% (9.1–48.9%) n=417 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 4.6% (0.2–11.1%) n=414 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 4.8% (0.0–13.6%) n=410 |
| Broadband subscription | 93.4% | 89.3% (75.1–97.1%) n=32,322 | 86.1% (71.4–95.1%) n=410 |
| Housing cost burden (≥30% income) | 26.9% | 23.7% (10.6–40.0%) n=32,322 | 23.3% (12.8–35.0%) n=410 |
| Homeownership rate | 95.1% | 78.7% (51.7–94.0%) n=32,322 | 77.3% (54.9–91.8%) n=410 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 1.4% (0.0–4.6%) n=410 |
| Foreign-born population | 6.4% | 2.6% (0.0–18.6%) n=32,553 | 2.7% (0.0–9.0%) n=419 |
| Single-parent households | 100.0% | 53.6% (37.3–74.1%) n=32,087 | 50.9% (37.6–69.9%) n=404 |
| Population 65+ | 88.1% | 19.4% (10.8–33.6%) n=32,553 | 19.6% (10.9–31.7%) n=419 |
| Median age | 70.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.4 yr (33.8–54.1) n=415 |
| Median household income | $119,886 | $72,070 ($46,039–$118,707) n=30,318 | $58,990 ($40,800–$90,964) n=384 |
| Median home value | $2,000,001 | $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 | 81.3 yr ± 2.47 | 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 2.47 years of 81.3, 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