ZIP code
29458
in McClellanville, South CarolinaPopulation 2,505
52.16/ 100
Ranked #13,234 of 32,066 US ZIPs (top 41%)
Ranked #112 of 417 South Carolina ZIPs (top 27%)
Ranked #28 of 45 Charleston-North Charleston, SC ZIPs (bottom 38%)
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.
Grocery access
0.4 per 1,000 residents
in the top 2.4% nationally
Higher is healthier
ST97thUS98thDefinition & source ›
The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Elder-services access
0.4 per 1,000 residents
in the top 3.2% nationally
Higher is healthier
ST99thUS97thDefinition & 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 ›Transit access
5.6 per 1,000 residents
in the top 4.1% nationally
Higher is healthier
ST97thUS96thDefinition & source ›
The number of public-transit stops 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 ›Outer-floodplain exposure
8.9%
in the top 4.3% nationally
Lower is healthier
ST95thUS96thDefinition & 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 ›Fatal road crashes
47.9 per 100,000 residents per year
in the top 4.5% nationally
Lower is healthier
ST87thUS96thDefinition & 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 ›Diabetes
18.6%
in the top 6.5% nationally
Lower is healthier
ST71stUS94thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Floodplain exposure
42.1%
in the top 5.7% nationally
Lower is healthier
ST89thUS94thDefinition & 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 ›Distance to a nursing home
11.1 mi
in the top 9.2% nationally
Lower is healthier
ST97thUS91stDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Stroke
5.4%
in the top 8.9% nationally
Lower is healthier
ST69thUS91stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Colon-cancer screening
73.1%
in the top 7.0% nationally
Higher is healthier
ST87thUS93rdDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›The read
Overall, McClellanville, South Carolina (ZIP 29458) places in the top 41% healthiest ZIPs nationally (13,234th) and the top 27% of South Carolina (112th).
The measures land in both directions, and neither dominates: grocery resides in the top 2.4% nationally, and elder services is in the top 3.2% nationally. Transit lands in the top 4.1% nationally, and modeled colon screening stands in the top 7.0% nationally. Pulling the other way, outer-floodplain exposure registers in the top 4.3% nationally, fatal road crashes settles in the top 4.5% nationally, and modeled diabetes sits in the top 6.5% nationally. Floodplain exposure lies in the top 5.7% nationally, distance to a nursing home rests in the top 9.2% nationally, and modeled stroke resides in the top 8.9% nationally.
Beside the areas that surround it, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. For readers new to these terms, outer-floodplain exposure is land with a lower but real 1-in-500 chance of flooding each year, nicknamed the "500-year floodplain". Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". Among nearby ZIPs, the nearest healthier one overall is ZIP 29429, 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
Social Need / SDOH
healthier than 62%
16%
Environmental Hazard
healthier than 97%
14%
Preventive Care
healthier than 90%
13%
Mental Health
healthier than 90%
8%
About typical
Risk Behavior
healthier than 58%
11%
Holding it back
Chronic Disease Burden
healthier than 21%
21%
Disability
healthier than 36%
7%
Climate / Disaster Risk
healthier than 10%
5%
Healthcare Access
healthier than 38%
5%
Lifting this score
Social Need / SDOH
healthier than 73%
16%
Environmental Hazard
healthier than 97%
14%
Preventive Care
healthier than 90%
13%
Risk Behavior
healthier than 72%
11%
Mental Health
healthier than 95%
8%
Disability
healthier than 61%
7%
Holding it back
Chronic Disease Burden
healthier than 40%
21%
Climate / Disaster Risk
healthier than 13%
5%
Healthcare Access
healthier than 24%
5%
Lifting this score
Environmental Hazard
healthier than 95%
14%
Preventive Care
healthier than 75%
13%
Mental Health
healthier than 84%
8%
About typical
Social Need / SDOH
healthier than 50%
16%
Risk Behavior
healthier than 57%
11%
Climate / Disaster Risk
healthier than 48%
5%
Holding it back
Chronic Disease Burden
healthier than 25%
21%
Disability
healthier than 34%
7%
Healthcare Access
healthier than 23%
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 97.4 (top 10%); chronic-disease standing 21.2 — 76 points apart, cleaner on the environment than it is on chronic illness.
Ranked #696 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
29429
South Carolinashares a border
Score 60.64
Closest healthier
29492
South Carolinaabout 8.4 mi away
Score 65.58
Similar health profile
11770
New York99% similar profile
Score 52.00
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 | 33.6% | 30.6–36.5 |
| High blood pressure among adults | 45.5% | 42.1–48.6 |
| Cancer (non-skin) or melanoma among adults | 9.5% | 8.6–10.4 |
| Current asthma among adults | 9.6% | 8.5–10.8 |
| Coronary heart disease among adults | 8.3% | 7.4–9.3 |
| Chronic obstructive pulmonary disease among adults | 8.4% | 7.2–9.7 |
| Depression among adults | 18.7% | 16.3–21.1 |
| Diagnosed diabetes among adults | 18.6% | 16.4–20.7 |
| High cholesterol among adults who have ever been screened | 41.8% | 38.4–44.9 |
| Obesity among adults | 35.8% | 31.2–40.0 |
| Stroke among adults | 5.4% | 4.9–6.1 |
| All teeth lost among adults aged >=65 years | 20.0% | 16.8–23.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.2% | 8.2–12.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 85.6% | 83.4–87.5 |
| Visits to doctor for routine checkup within the past year among adults | 84.2% | 81.7–86.3 |
| Cholesterol screening among adults | 90.8% | 89.5–92.0 |
| Colorectal cancer screening among adults aged 45–75 years | 73.1% | 69.4–76.5 |
| Visited dentist or dental clinic in the past year among adults | 58.9% | 55.8–61.9 |
| Mammography use among women aged 50-74 years | 76.5% | 70.4–81.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.8% | 13.5–18.0 |
| Current cigarette smoking among adults | 13.2% | 11.1–15.6 |
| No leisure-time physical activity among adults | 27.3% | 23.8–31.1 |
| Short sleep duration among adults | 35.5% | 31.5–39.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.7% | 18.9–24.7 |
| Frequent mental distress among adults | 14.0% | 12.5–15.7 |
| Frequent physical distress among adults | 14.3% | 12.7–16.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.8% | 11.2–14.6 |
| Any disability among adults | 32.4% | 29.1–36.1 |
| Hearing disability among adults | 7.4% | 6.5–8.2 |
| Independent living disability among adults | 9.0% | 7.9–10.3 |
| Mobility disability among adults | 19.3% | 16.8–21.9 |
| Self-care disability among adults | 5.4% | 4.7–6.1 |
| Vision disability among adults | 6.6% | 5.8–7.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.8% | 21.5–28.1 |
| Food insecurity in the past 12 months among adults | 18.5% | 15.3–21.8 |
| Received food stamps in the past 12 months among adults | 12.4% | 9.9–15.0 |
| Housing insecurity in the past 12 months among adults | 13.9% | 11.7–16.3 |
| Lack of reliable transportation in the past 12 months among adults | 8.9% | 7.6–10.3 |
| Loneliness among adults | 30.3% | 26.6–34.0 |
| Utility services shut-off threat in the past 12 months among adults | 10.0% | 8.5–11.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | SC median (p10–p90) |
|---|---|---|---|
| Poverty rate | 18.5% | 10.6% (3.1–25.8%) n=32,364 | 15.5% (6.2–28.7%) n=410 |
| Uninsured 18–64 | 1.5% | 9.0% (1.5–24.3%) n=32,286 | 14.1% (5.9–25.5%) n=412 |
| No HS diploma (25+) | 9.9% | 7.9% (1.8–20.7%) n=32,505 | 11.6% (3.4–21.1%) n=417 |
| Bachelor's or higher (25+) | 30.3% | 23.3% (9.2–53.6%) n=32,505 | 20.1% (9.1–48.9%) n=417 |
| Unemployment rate (16+) | 0.2% | 3.9% (0.0–9.8%) n=32,274 | 4.6% (0.2–11.1%) n=414 |
| Households without a vehicle | 6.6% | 3.9% (0.0–12.5%) n=32,322 | 4.8% (0.0–13.6%) n=410 |
| Broadband subscription | 83.8% | 89.3% (75.1–97.1%) n=32,322 | 86.1% (71.4–95.1%) n=410 |
| Housing cost burden (≥30% income) | 25.7% | 23.7% (10.6–40.0%) n=32,322 | 23.3% (12.8–35.0%) n=410 |
| Homeownership rate | 87.0% | 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 | 0.4% | 2.6% (0.0–18.6%) n=32,553 | 2.7% (0.0–9.0%) n=419 |
| Single-parent households | 57.0% | 53.6% (37.3–74.1%) n=32,087 | 50.9% (37.6–69.9%) n=404 |
| Population 65+ | 23.5% | 19.4% (10.8–33.6%) n=32,553 | 19.6% (10.9–31.7%) n=419 |
| Median age | 51.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.4 yr (33.8–54.1) n=415 |
| Median household income | $86,431 | $72,070 ($46,039–$118,707) n=30,318 | $58,990 ($40,800–$90,964) n=384 |
| Median home value | $370,900 | $222,200 ($100,300–$579,820) n=30,049 | $177,400 ($88,260–$384,940) n=383 |
| Median gross rent | $1,009 | $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 | 80.4 yr ± 1.93 | 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 1.93 years of 80.4, 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