ZIP code
29410
in Hanahan, South CarolinaPopulation 21,314
53.71/ 100
Ranked #11,065 of 32,066 US ZIPs (top 35%)
Ranked #91 of 417 South Carolina ZIPs (top 22%)
Ranked #25 of 45 Charleston-North Charleston, SC ZIPs (bottom 44%)
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.
Expected annual disaster loss
$0
in the top 4.7% nationally
Lower is healthier
ST94thUS95thDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›PFOA in drinking water
96.2%
in the top 5.9% nationally
Lower is healthier
ST88thUS94thDefinition & source ›
The share of residents served by public water systems where PFOA, one of the man-made “forever chemicals,” was detected in EPA testing.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›PFOS in drinking water
96.2%
in the top 6.1% nationally
Lower is healthier
ST88thUS94thDefinition & source ›
The share of residents served by public water systems where PFOS, one of the most common “forever chemicals,” was detected in EPA testing.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Outer-floodplain exposure
5.2%
in the top 7.0% nationally
Lower is healthier
ST90thUS93rdDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 0.2%-annual-chance flood band — the “500-year” zone, a lower but real 1-in-500 yearly chance.
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 ›Floodplain exposure
37.5%
in the top 7.0% nationally
Lower is healthier
ST86thUS93rdDefinition & 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 ›Natural-disaster risk
in the top 9.2% nationally
Lower is healthier
ST87thUS91stDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›Humid extreme heat
131.5 days/year
in the top 9.6% nationally
Lower is healthier
ST90thUS90thDefinition & source ›
The average number of days per year when modeled heat stress — temperature, humidity, sun, and wind combined — reaches levels hard on the body outdoors.
Full methodology ›Transportation noise
9.2%
in the top 9.7% nationally
Lower is healthier
ST95thUS90thDefinition & 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 ›Fatal road crashes
3.3 per 100,000 residents per year
in the bottom 11.8% nationally
Lower is healthier
ST4thUS12thDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
Full methodology ›Radon
0.8 pCi/L
in the bottom 7.4% nationally
Lower is healthier
ST20thUS7thDefinition & source ›
The modeled typical indoor radon level for this area, in picocuries per liter — the EPA recommends fixing a home at 4 pCi/L or above.
Modeled from indoor-radon measurements. In Alaska and Hawaii, where those measurements are not published, a US Geological Survey geologic radon-potential category stands in — a coarser input, disclosed rather than hidden.
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
Hanahan, South Carolina (ZIP 29410), by its composite score, sits in the top 35% healthiest ZIPs nationally (11,065th) and the top 22% of South Carolina (91st).
The clearest bright points in the data come first here: fatal road crashes stands in the bottom 11.8% nationally. By contrast, modeled expected annual loss registers in the top 4.7% nationally, and PFOA in drinking water settles in the top 5.9% nationally. PFOS in drinking water sits in the top 6.1% nationally, outer-floodplain exposure lies in the top 7.0% nationally, and floodplain exposure rests in the top 7.0% nationally. Modeled disaster risk resides in the top 9.2% nationally, humid heat is in the top 9.6% nationally, and transportation noise lands in the top 9.7% nationally. Modeled industrial-pollution burden stands in the top 10.7% nationally.
Next to the surrounding area, expected annual loss runs far lower than the surrounding ZIPs on this measure. For anyone unfamiliar, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. PFOA in drinking water is one of the man-made "forever chemicals" that build up in the body and environment instead of breaking down. PFOS in drinking water is a common one of the man-made "forever chemicals" that build up in the body and environment instead of breaking down. For a healthier comparison close by, see ZIP 29445, 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 Charleston-North Charleston, SC metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Chronic Disease Burden
healthier than 77%
21%
Social Need / SDOH
healthier than 63%
16%
Disability
healthier than 66%
7%
Healthcare Access
healthier than 81%
5%
About typical
Preventive Care
healthier than 47%
13%
Risk Behavior
healthier than 56%
11%
Mental Health
healthier than 49%
8%
Holding it back
Environmental Hazard
healthier than 35%
14%
Climate / Disaster Risk
healthier than 10%
5%
Lifting this score
Chronic Disease Burden
healthier than 88%
21%
Social Need / SDOH
healthier than 74%
16%
Risk Behavior
healthier than 70%
11%
Disability
healthier than 84%
7%
Healthcare Access
healthier than 81%
5%
About typical
Mental Health
healthier than 52%
8%
Holding it back
Environmental Hazard
healthier than 24%
14%
Preventive Care
healthier than 35%
13%
Climate / Disaster Risk
healthier than 12%
5%
Lifting this score
Chronic Disease Burden
healthier than 66%
21%
Healthcare Access
healthier than 75%
5%
About typical
Social Need / SDOH
healthier than 52%
16%
Risk Behavior
healthier than 52%
11%
Disability
healthier than 55%
7%
Climate / Disaster Risk
healthier than 43%
5%
Holding it back
Environmental Hazard
healthier than 16%
14%
Preventive Care
healthier than 30%
13%
Mental Health
healthier than 20%
8%
“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
29406
South Carolinashares a border
Score 44.16
Closest healthier
29445
South Carolinashares a border
Score 54.50
Similar health profile
23510
Virginia99% similar profile
Score 53.72
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 | 24.5% | 22.0–27.2 |
| High blood pressure among adults | 34.2% | 31.0–37.6 |
| Cancer (non-skin) or melanoma among adults | 7.3% | 6.6–8.1 |
| Current asthma among adults | 9.3% | 8.3–10.6 |
| Coronary heart disease among adults | 5.5% | 4.9–6.1 |
| Chronic obstructive pulmonary disease among adults | 6.2% | 5.6–7.0 |
| Depression among adults | 23.2% | 20.1–26.5 |
| Diagnosed diabetes among adults | 12.1% | 10.7–13.8 |
| High cholesterol among adults who have ever been screened | 36.1% | 32.6–39.8 |
| Obesity among adults | 37.1% | 32.0–42.5 |
| Stroke among adults | 3.1% | 2.8–3.4 |
| All teeth lost among adults aged >=65 years | 10.7% | 8.9–12.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 12.2% | 10.4–14.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.7% | 73.9–79.5 |
| Visits to doctor for routine checkup within the past year among adults | 78.7% | 75.5–81.9 |
| Cholesterol screening among adults | 85.6% | 83.8–87.5 |
| Colorectal cancer screening among adults aged 45–75 years | 67.3% | 63.1–71.3 |
| Visited dentist or dental clinic in the past year among adults | 63.1% | 60.0–66.2 |
| Mammography use among women aged 50-74 years | 76.5% | 70.1–82.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.6% | 13.9–19.7 |
| Current cigarette smoking among adults | 12.9% | 11.1–15.0 |
| No leisure-time physical activity among adults | 25.1% | 21.8–28.8 |
| Short sleep duration among adults | 36.4% | 31.9–41.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.2% | 16.1–20.6 |
| Frequent mental distress among adults | 16.8% | 14.9–18.8 |
| Frequent physical distress among adults | 13.1% | 11.6–14.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.3% | 12.7–16.1 |
| Any disability among adults | 30.8% | 27.3–34.4 |
| Hearing disability among adults | 6.3% | 5.6–7.1 |
| Independent living disability among adults | 7.9% | 7.1–8.9 |
| Mobility disability among adults | 13.4% | 11.8–15.1 |
| Self-care disability among adults | 3.6% | 3.3–4.0 |
| Vision disability among adults | 4.9% | 4.5–5.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.6% | 19.5–25.8 |
| Food insecurity in the past 12 months among adults | 16.6% | 14.5–19.0 |
| Received food stamps in the past 12 months among adults | 8.9% | 7.6–10.4 |
| Housing insecurity in the past 12 months among adults | 12.6% | 10.9–14.5 |
| Lack of reliable transportation in the past 12 months among adults | 8.2% | 7.2–9.3 |
| Loneliness among adults | 30.8% | 26.8–34.9 |
| Utility services shut-off threat in the past 12 months among adults | 8.3% | 7.2–9.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | SC median (p10–p90) |
|---|---|---|---|
| Poverty rate | 11.7% | 10.6% (3.1–25.8%) n=32,364 | 15.5% (6.2–28.7%) n=410 |
| Uninsured 18–64 | 14.3% | 9.0% (1.5–24.3%) n=32,286 | 14.1% (5.9–25.5%) n=412 |
| No HS diploma (25+) | 6.2% | 7.9% (1.8–20.7%) n=32,505 | 11.6% (3.4–21.1%) n=417 |
| Bachelor's or higher (25+) | 38.4% | 23.3% (9.2–53.6%) n=32,505 | 20.1% (9.1–48.9%) n=417 |
| Unemployment rate (16+) | 2.5% | 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 | 91.3% | 89.3% (75.1–97.1%) n=32,322 | 86.1% (71.4–95.1%) n=410 |
| Housing cost burden (≥30% income) | 31.0% | 23.7% (10.6–40.0%) n=32,322 | 23.3% (12.8–35.0%) n=410 |
| Homeownership rate | 68.1% | 78.7% (51.7–94.0%) n=32,322 | 77.3% (54.9–91.8%) n=410 |
| Crowded housing (>1 per room) | 1.1% | 1.3% (0.0–6.3%) n=32,322 | 1.4% (0.0–4.6%) n=410 |
| Foreign-born population | 11.0% | 2.6% (0.0–18.6%) n=32,553 | 2.7% (0.0–9.0%) n=419 |
| Single-parent households | 44.0% | 53.6% (37.3–74.1%) n=32,087 | 50.9% (37.6–69.9%) n=404 |
| Population 65+ | 12.9% | 19.4% (10.8–33.6%) n=32,553 | 19.6% (10.9–31.7%) n=419 |
| Median age | 36.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.4 yr (33.8–54.1) n=415 |
| Median household income | $87,984 | $72,070 ($46,039–$118,707) n=30,318 | $58,990 ($40,800–$90,964) n=384 |
| Median home value | $374,800 | $222,200 ($100,300–$579,820) n=30,049 | $177,400 ($88,260–$384,940) n=383 |
| Median gross rent | $1,412 | $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 | 78.6 yr ± 1.22 | 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 1.22 years of 78.6, 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