ZIP code
29409
in Charleston, South CarolinaPopulation 2,056
68.05/ 100
Ranked #1,006 of 32,066 US ZIPs (top 3.2%)
Ranked #3 of 417 South Carolina ZIPs (top 0.8%)
Ranked #3 of 45 Charleston-North Charleston, SC ZIPs (top 6.7%)
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.
Binge drinking
38.9%
in the top 0.01% nationally
Lower is healthier
ST99thUS99thDefinition & 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 ›High cholesterol
13.0%
in the bottom 0.3% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›High blood pressure
7.8%
in the bottom 0.06% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Diabetes
1.1%
in the bottom 0.09% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Obesity
15.7%
in the bottom 0.2% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Coronary heart disease
0.70%
in the bottom 0.2% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Stroke
0.40%
in the bottom 0.10% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Mobility disability
1.6%
in the bottom 0.01% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Housing-cost burden
100%
at the national maximum
Lower is healthier
ST99thUS99thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Hearing disability
2.0%
in the bottom 0.2% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›The read
ZIP 29409, one of several in Charleston, South Carolina, on the composite measure, lands in the top 3.2% healthiest ZIPs nationally (1,006th) and the top 0.8% of South Carolina (3rd).
Where the data leans one way, another reading answers it: modeled high cholesterol rests in the bottom 0.3% nationally, high blood pressure sits in the bottom 0.06% nationally, and diabetes registers in the bottom 0.09% nationally. Modeled obesity lands in the bottom 0.2% nationally, coronary heart disease resides in the bottom 0.2% nationally, and stroke lies in the bottom 0.10% nationally. Modeled mobility disability settles in the bottom 0.01% nationally, and hearing disability stands in the bottom 0.2% nationally. On the other hand, modeled binge drinking is in the top 0.01% nationally, and housing-cost burden rests at the national maximum.
Set against the neighboring ZIPs, walkability runs far higher than the surrounding ZIPs on this measure. A healthier neighbor overall sits at ZIP 29482, about 5.6 miles away.
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
in the top 0.03%
21%
Risk Behavior
healthier than 94%
11%
Mental Health
healthier than 61%
8%
Disability
in the top 0.2%
7%
Healthcare Access
healthier than 77%
5%
About typical
Social Need / SDOH
healthier than 47%
16%
Environmental Hazard
healthier than 42%
14%
Holding it back
Preventive Care
healthier than 7%
13%
Climate / Disaster Risk
healthier than 15%
5%
Lifting this score
Chronic Disease Burden
in the top 0.3%
21%
Social Need / SDOH
healthier than 60%
16%
Risk Behavior
healthier than 98%
11%
Mental Health
healthier than 70%
8%
Disability
in the top 0.00%
7%
Healthcare Access
healthier than 77%
5%
Holding it back
Environmental Hazard
healthier than 28%
14%
Preventive Care
healthier than 3%
13%
Climate / Disaster Risk
healthier than 21%
5%
Lifting this score
Chronic Disease Burden
in the top 0.00%
21%
Risk Behavior
healthier than 93%
11%
Disability
in the top 0.00%
7%
Climate / Disaster Risk
healthier than 68%
5%
Healthcare Access
healthier than 68%
5%
About typical
Mental Health
healthier than 45%
8%
Holding it back
Social Need / SDOH
healthier than 36%
16%
Environmental Hazard
healthier than 25%
14%
Preventive Care
healthier than 5%
13%
“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.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 41.7; chronic-disease standing 100.0 (top 1%) — 58 points apart, heavier on the environment than it is on chronic illness.
Ranked #15,245 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
29403
South Carolinashares a border
Score 55.37
Closest healthier
29482
South Carolinaabout 5.6 mi away
Score 71.95
Similar health profile
20373
District of Columbia97% similar profile
Score 67.16
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 | 3.2% | 2.5–3.9 |
| High blood pressure among adults | 7.8% | 6.1–9.6 |
| Cancer (non-skin) or melanoma among adults | 1.0% | 0.8–1.2 |
| Current asthma among adults | 6.7% | 5.5–8.1 |
| Coronary heart disease among adults | 0.7% | 0.5–0.9 |
| Chronic obstructive pulmonary disease among adults | 1.0% | 0.6–2.0 |
| Depression among adults | 21.0% | 16.9–25.3 |
| Diagnosed diabetes among adults | 1.1% | 0.8–1.4 |
| High cholesterol among adults who have ever been screened | 13.0% | 11.2–15.0 |
| Obesity among adults | 15.7% | 11.9–19.6 |
| Stroke among adults | 0.4% | 0.3–0.5 |
| All teeth lost among adults aged >=65 years | 5.9% | 4.7–7.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.8% | 4.3–19.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 20.2% | 17.0–23.5 |
| Visits to doctor for routine checkup within the past year among adults | 65.0% | 58.9–69.8 |
| Cholesterol screening among adults | 69.2% | 56.6–76.3 |
| Colorectal cancer screening among adults aged 45–75 years | 70.6% | 66.4–74.6 |
| Visited dentist or dental clinic in the past year among adults | 67.0% | 63.6–70.3 |
| Mammography use among women aged 50-74 years | 74.2% | 67.7–79.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 38.9% | 34.2–43.4 |
| Current cigarette smoking among adults | 3.8% | 1.8–8.0 |
| No leisure-time physical activity among adults | 8.6% | 5.4–15.2 |
| Short sleep duration among adults | 28.3% | 24.5–32.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 6.7% | 4.2–14.0 |
| Frequent mental distress among adults | 17.1% | 12.2–22.2 |
| Frequent physical distress among adults | 5.0% | 3.4–8.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.0% | 9.0–24.1 |
| Any disability among adults | 18.4% | 12.4–30.3 |
| Hearing disability among adults | 2.0% | 1.4–2.7 |
| Independent living disability among adults | 4.5% | 2.8–8.3 |
| Mobility disability among adults | 1.6% | 1.0–2.8 |
| Self-care disability among adults | 0.7% | 0.4–1.2 |
| Vision disability among adults | 1.9% | 1.2–3.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.3% | 17.0–32.1 |
| Food insecurity in the past 12 months among adults | 6.8% | 3.5–14.9 |
| Received food stamps in the past 12 months among adults | 1.9% | 0.9–4.3 |
| Housing insecurity in the past 12 months among adults | 5.4% | 3.0–8.8 |
| Lack of reliable transportation in the past 12 months among adults | 6.2% | 3.8–10.4 |
| Loneliness among adults | 38.8% | 31.9–47.0 |
| Utility services shut-off threat in the past 12 months among adults | 3.0% | 1.8–4.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | SC median (p10–p90) |
|---|---|---|---|
| Poverty rate | 45.5% | 10.6% (3.1–25.8%) n=32,364 | 15.5% (6.2–28.7%) n=410 |
| Uninsured 18–64 | 6.4% | 9.0% (1.5–24.3%) n=32,286 | 14.1% (5.9–25.5%) n=412 |
| No HS diploma (25+) | 50.7% | 7.9% (1.8–20.7%) n=32,505 | 11.6% (3.4–21.1%) n=417 |
| Bachelor's or higher (25+) | 0.0% | 23.3% (9.2–53.6%) n=32,505 | 20.1% (9.1–48.9%) n=417 |
| Unemployment rate (16+) | 10.0% | 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 | 100.0% | 89.3% (75.1–97.1%) n=32,322 | 86.1% (71.4–95.1%) n=410 |
| Housing cost burden (≥30% income) | 100.0% | 23.7% (10.6–40.0%) n=32,322 | 23.3% (12.8–35.0%) n=410 |
| Homeownership rate | 0.0% | 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 | 4.2% | 2.6% (0.0–18.6%) n=32,553 | 2.7% (0.0–9.0%) n=419 |
| Single-parent households | — | 53.6% (37.3–74.1%) n=32,087 | 50.9% (37.6–69.9%) n=404 |
| Population 65+ | 0.0% | 19.4% (10.8–33.6%) n=32,553 | 19.6% (10.9–31.7%) n=419 |
| Median age | 20.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.4 yr (33.8–54.1) n=415 |
| Median household income | — | $72,070 ($46,039–$118,707) n=30,318 | $58,990 ($40,800–$90,964) n=384 |
| Median home value | — | $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 | 78.3 yr ± 1.14 | 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 1.14 years of 78.3, 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