ZIP code
29915
in Daufuskie Island, South CarolinaPopulation 619
64.58/ 100
Ranked #2,166 of 32,066 US ZIPs (top 6.8%)
Ranked #12 of 417 South Carolina ZIPs (top 2.9%)
Ranked #2 of 19 Hilton Head Island-Bluffton-Port Royal, SC ZIPs (top 10.6%)
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.
Loneliness
23.3%
in the bottom 0.05% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Lack of transportation
3.8%
in the bottom 1.0% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Median household income
$156,090
in the top 3.3% nationally
Higher is healthier
ST99thUS97thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Housing insecurity
5.3%
in the bottom 1.1% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Utility shut-off threat
3.3%
in the bottom 1.1% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Short sleep
26%
in the bottom 0.8% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Households without a vehicle
32.8%
in the top 2.1% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The share of households with no vehicle 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 ›Fiber broadband
99.8%
in the top 2.4% nationally
Higher is healthier
ST96thUS98thDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›Colon-cancer screening
77.2%
in the top 1.0% nationally
Higher is healthier
ST97thUS99thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
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 flood exposure and the share of households without a vehicle.
See the full flooding, evacuation & humid-heat analysis →
The read
By the composite measure, Daufuskie Island, South Carolina (ZIP 29915) sits in the top 6.8% healthiest ZIPs nationally (2,166th) and the top 2.9% of South Carolina (12th).
The readings split fairly evenly between strengths and concerns: modeled loneliness registers in the bottom 0.05% nationally, modeled transportation lands in the bottom 1.0% nationally, and household income resides in the top 3.3% nationally. Modeled housing insecurity lies in the bottom 1.1% nationally, utility shutoff settles in the bottom 1.1% nationally, and short sleep stands in the bottom 0.8% nationally. Modeled transportation noise is at the national minimum, and fiber broadband rests in the top 2.4% nationally. Modeled colon screening sits in the top 1.0% nationally. Working the other way, households without a vehicle registers in the top 2.1% nationally.
Compared with the ZIPs that surround it, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. In plain language, transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. ZIP 29928, just across the boundary, ranks 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 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 95%
16%
Environmental Hazard
healthier than 97%
14%
Preventive Care
in the top 0.5%
13%
Risk Behavior
healthier than 98%
11%
Mental Health
healthier than 98%
8%
Disability
healthier than 78%
7%
Holding it back
Chronic Disease Burden
healthier than 37%
21%
Climate / Disaster Risk
healthier than 9%
5%
Healthcare Access
healthier than 24%
5%
Lifting this score
Social Need / SDOH
healthier than 96%
16%
Environmental Hazard
healthier than 97%
14%
Preventive Care
in the top 1.0%
13%
Risk Behavior
in the top 0.8%
11%
Mental Health
in the top 0.8%
8%
Disability
healthier than 90%
7%
About typical
Chronic Disease Burden
healthier than 57%
21%
Holding it back
Climate / Disaster Risk
healthier than 12%
5%
Healthcare Access
healthier than 7%
5%
Lifting this score
Social Need / SDOH
healthier than 78%
16%
Environmental Hazard
in the top 0.00%
14%
Preventive Care
healthier than 89%
13%
Risk Behavior
healthier than 89%
11%
Mental Health
healthier than 89%
8%
Disability
healthier than 89%
7%
Climate / Disaster Risk
healthier than 83%
5%
About typical
Chronic Disease Burden
healthier than 44%
21%
Holding it back
Healthcare Access
in the bottom 0.00%
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
29910
South Carolinashares a border
Score 62.87
Closest healthier
29928
South Carolinashares a border
Score 66.45
Similar health profile
08243
New Jersey100% similar profile
Score 64.32
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 | 35.7% | 32.4–39.2 |
| High blood pressure among adults | 41.6% | 38.0–45.2 |
| Cancer (non-skin) or melanoma among adults | 15.1% | 13.5–16.7 |
| Current asthma among adults | 8.5% | 7.5–9.6 |
| Coronary heart disease among adults | 8.3% | 7.0–9.7 |
| Chronic obstructive pulmonary disease among adults | 7.4% | 5.6–9.6 |
| Depression among adults | 17.4% | 15.1–20.0 |
| Diagnosed diabetes among adults | 12.8% | 10.8–15.0 |
| High cholesterol among adults who have ever been screened | 46.6% | 42.9–50.2 |
| Obesity among adults | 27.0% | 23.1–31.2 |
| Stroke among adults | 4.1% | 3.4–4.9 |
| All teeth lost among adults aged >=65 years | 10.8% | 8.8–13.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.3% | 4.3–9.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 86.8% | 84.3–89.0 |
| Visits to doctor for routine checkup within the past year among adults | 85.9% | 83.3–88.0 |
| Cholesterol screening among adults | 93.9% | 92.5–95.0 |
| Colorectal cancer screening among adults aged 45–75 years | 77.2% | 73.6–80.3 |
| Visited dentist or dental clinic in the past year among adults | 75.6% | 73.0–78.0 |
| Mammography use among women aged 50-74 years | 80.7% | 75.2–85.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.0% | 12.7–17.6 |
| Current cigarette smoking among adults | 9.0% | 6.6–11.9 |
| No leisure-time physical activity among adults | 17.4% | 13.8–21.8 |
| Short sleep duration among adults | 26.0% | 22.4–29.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 13.5% | 10.5–17.2 |
| Frequent mental distress among adults | 11.0% | 9.4–12.8 |
| Frequent physical distress among adults | 12.8% | 10.6–15.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 9.4% | 7.7–11.4 |
| Any disability among adults | 26.2% | 21.9–31.1 |
| Hearing disability among adults | 9.0% | 7.7–10.5 |
| Independent living disability among adults | 6.1% | 4.9–7.6 |
| Mobility disability among adults | 13.6% | 10.8–17.1 |
| Self-care disability among adults | 3.3% | 2.6–4.1 |
| Vision disability among adults | 3.9% | 3.1–4.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 16.8% | 13.7–19.9 |
| Food insecurity in the past 12 months among adults | 7.1% | 4.9–9.6 |
| Received food stamps in the past 12 months among adults | 3.2% | 2.1–4.5 |
| Housing insecurity in the past 12 months among adults | 5.3% | 3.9–6.7 |
| Lack of reliable transportation in the past 12 months among adults | 3.8% | 3.0–4.7 |
| Loneliness among adults | 23.3% | 19.8–27.1 |
| Utility services shut-off threat in the past 12 months among adults | 3.3% | 2.6–4.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | SC median (p10–p90) |
|---|---|---|---|
| Poverty rate | 7.6% | 10.6% (3.1–25.8%) n=32,364 | 15.5% (6.2–28.7%) n=410 |
| Uninsured 18–64 | 4.2% | 9.0% (1.5–24.3%) n=32,286 | 14.1% (5.9–25.5%) n=412 |
| No HS diploma (25+) | 1.2% | 7.9% (1.8–20.7%) n=32,505 | 11.6% (3.4–21.1%) n=417 |
| Bachelor's or higher (25+) | 79.6% | 23.3% (9.2–53.6%) n=32,505 | 20.1% (9.1–48.9%) n=417 |
| Unemployment rate (16+) | 3.4% | 3.9% (0.0–9.8%) n=32,274 | 4.6% (0.2–11.1%) n=414 |
| Households without a vehicle | 32.8% | 3.9% (0.0–12.5%) n=32,322 | 4.8% (0.0–13.6%) n=410 |
| Broadband subscription | 98.9% | 89.3% (75.1–97.1%) n=32,322 | 86.1% (71.4–95.1%) n=410 |
| Housing cost burden (≥30% income) | 33.1% | 23.7% (10.6–40.0%) n=32,322 | 23.3% (12.8–35.0%) n=410 |
| Homeownership rate | 98.6% | 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 | 1.9% | 2.6% (0.0–18.6%) n=32,553 | 2.7% (0.0–9.0%) n=419 |
| Single-parent households | 88.9% | 53.6% (37.3–74.1%) n=32,087 | 50.9% (37.6–69.9%) n=404 |
| Population 65+ | 29.4% | 19.4% (10.8–33.6%) n=32,553 | 19.6% (10.9–31.7%) n=419 |
| Median age | 59.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.4 yr (33.8–54.1) n=415 |
| Median household income | $156,090 | $72,070 ($46,039–$118,707) n=30,318 | $58,990 ($40,800–$90,964) n=384 |
| Median home value | $576,400 | $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 unavailable for this ZIP — fewer than 80% of the census tracts that make it up could be matched across the 2010→2020 tract-boundary revision, so no value is published rather than an unreliable one. See how coverage gaps are handled. | |||
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