ZIP code
29404
in Charleston Afb, South CarolinaPopulation 2,334
60.64/ 100
Ranked #4,374 of 32,066 US ZIPs (top 13.7%)
Ranked #34 of 417 South Carolina ZIPs (top 8.2%)
Ranked #14 of 45 Charleston-North Charleston, SC ZIPs (top 31%)
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
30.8%
in the top 0.05% 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
21.4%
in the bottom 1.0% nationally
Lower is healthier
ST3rdUS1stDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›High blood pressure
16.6%
in the bottom 0.9% nationally
Lower is healthier
ST3rdUS1stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Homeownership rate
0.00%
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Coronary heart disease
2.2%
in the bottom 1.1% nationally
Lower is healthier
ST3rdUS1stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Slow internet speeds
61.5%
in the top 0.8% nationally
Lower is healthier
ST98thUS99thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Diabetes
4.7%
in the bottom 1.1% nationally
Lower is healthier
ST3rdUS1stDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Stroke
1.3%
in the bottom 1.1% nationally
Lower is healthier
ST3rdUS1stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Housing-cost burden
60.8%
in the top 1.2% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Mobility disability
5.4%
in the bottom 1.1% nationally
Lower is healthier
ST3rdUS1stDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›The read
Overall, Charleston Afb, South Carolina (ZIP 29404) places in the top 13.7% healthiest ZIPs nationally (4,374th) and the top 8.2% of South Carolina (34th).
The data opens on a genuinely even set of readings: modeled high cholesterol lands in the bottom 1.0% nationally, and high blood pressure stands in the bottom 0.9% nationally. Modeled diabetes registers in the bottom 1.1% nationally, and stroke settles in the bottom 1.1% nationally. Modeled mobility disability sits in the bottom 1.1% nationally, and hearing disability lies in the bottom 1.1% nationally. On the other side, modeled binge drinking rests in the top 0.05% nationally, homeownership resides at the national minimum, and slow internet speeds is in the top 0.8% nationally. Housing-cost burden lands in the top 1.2% nationally.
Beside the areas that surround it, slow internet speeds runs far higher than the surrounding ZIPs on this measure. Among nearby ZIPs, the nearest healthier one overall is ZIP 29414, less than a tenth of a mile 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 0.6%
21%
Disability
healthier than 95%
7%
Healthcare Access
healthier than 68%
5%
About typical
Risk Behavior
healthier than 59%
11%
Climate / Disaster Risk
healthier than 41%
5%
Holding it back
Social Need / SDOH
healthier than 31%
16%
Environmental Hazard
healthier than 29%
14%
Preventive Care
healthier than 7%
13%
Mental Health
healthier than 34%
8%
Lifting this score
Chronic Disease Burden
healthier than 98%
21%
Risk Behavior
healthier than 73%
11%
Disability
healthier than 98%
7%
Climate / Disaster Risk
healthier than 80%
5%
Healthcare Access
healthier than 66%
5%
About typical
Social Need / SDOH
healthier than 47%
16%
Holding it back
Environmental Hazard
healthier than 21%
14%
Preventive Care
healthier than 3%
13%
Mental Health
healthier than 28%
8%
Lifting this score
Chronic Disease Burden
healthier than 95%
21%
Disability
healthier than 89%
7%
Climate / Disaster Risk
in the top 0.00%
5%
About typical
Risk Behavior
healthier than 59%
11%
Healthcare Access
healthier than 50%
5%
Holding it back
Social Need / SDOH
healthier than 27%
16%
Environmental Hazard
healthier than 9%
14%
Preventive Care
healthier than 2%
13%
Mental Health
healthier than 9%
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 ›
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 28.6; chronic-disease standing 99.5 (top 1%) — 71 points apart, heavier on the environment than it is on chronic illness.
Ranked #16,476 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
29406
South Carolinashares a border
Score 44.16
Closest healthier
29414
South Carolinaless than 0.1 mi away
Score 63.20
Similar health profile
23460
Virginia99% similar profile
Score 64.13
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 | 10.1% | 8.9–11.2 |
| High blood pressure among adults | 16.6% | 14.8–18.4 |
| Cancer (non-skin) or melanoma among adults | 2.7% | 2.5–3.0 |
| Current asthma among adults | 8.2% | 7.3–9.3 |
| Coronary heart disease among adults | 2.2% | 1.9–2.4 |
| Chronic obstructive pulmonary disease among adults | 2.8% | 2.4–3.3 |
| Depression among adults | 23.1% | 20.3–26.1 |
| Diagnosed diabetes among adults | 4.7% | 4.2–5.3 |
| High cholesterol among adults who have ever been screened | 21.4% | 19.2–23.7 |
| Obesity among adults | 25.2% | 21.7–29.0 |
| Stroke among adults | 1.3% | 1.2–1.5 |
| All teeth lost among adults aged >=65 years | 9.7% | 7.9–11.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 12.9% | 10.3–15.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 54.9% | 52.0–57.9 |
| Visits to doctor for routine checkup within the past year among adults | 69.0% | 65.1–72.7 |
| Cholesterol screening among adults | 75.7% | 71.9–79.5 |
| Colorectal cancer screening among adults aged 45–75 years | 69.3% | 65.5–72.9 |
| Visited dentist or dental clinic in the past year among adults | 60.4% | 57.2–63.5 |
| Mammography use among women aged 50-74 years | 75.9% | 69.6–81.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 30.8% | 27.1–34.6 |
| Current cigarette smoking among adults | 8.9% | 7.4–10.8 |
| No leisure-time physical activity among adults | 16.7% | 14.1–19.6 |
| Short sleep duration among adults | 33.0% | 29.1–36.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 12.2% | 10.4–14.2 |
| Frequent mental distress among adults | 18.6% | 16.3–21.1 |
| Frequent physical distress among adults | 8.3% | 7.3–9.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.8% | 13.4–18.4 |
| Any disability among adults | 23.4% | 20.1–27.0 |
| Hearing disability among adults | 3.3% | 2.9–3.7 |
| Independent living disability among adults | 6.5% | 5.5–7.5 |
| Mobility disability among adults | 5.4% | 4.7–6.2 |
| Self-care disability among adults | 1.8% | 1.6–2.0 |
| Vision disability among adults | 3.4% | 3.0–3.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.8% | 22.1–29.5 |
| Food insecurity in the past 12 months among adults | 14.2% | 11.6–17.1 |
| Received food stamps in the past 12 months among adults | 6.5% | 5.3–7.9 |
| Housing insecurity in the past 12 months among adults | 11.9% | 10.0–14.0 |
| Lack of reliable transportation in the past 12 months among adults | 8.7% | 7.3–10.3 |
| Loneliness among adults | 37.7% | 33.3–42.1 |
| Utility services shut-off threat in the past 12 months among adults | 6.9% | 5.9–8.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | SC median (p10–p90) |
|---|---|---|---|
| Poverty rate | 7.4% | 10.6% (3.1–25.8%) n=32,364 | 15.5% (6.2–28.7%) n=410 |
| Uninsured 18–64 | 9.9% | 9.0% (1.5–24.3%) n=32,286 | 14.1% (5.9–25.5%) n=412 |
| No HS diploma (25+) | 2.4% | 7.9% (1.8–20.7%) n=32,505 | 11.6% (3.4–21.1%) n=417 |
| Bachelor's or higher (25+) | 36.4% | 23.3% (9.2–53.6%) n=32,505 | 20.1% (9.1–48.9%) n=417 |
| Unemployment rate (16+) | 1.5% | 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 | 96.8% | 89.3% (75.1–97.1%) n=32,322 | 86.1% (71.4–95.1%) n=410 |
| Housing cost burden (≥30% income) | 60.8% | 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) | 1.7% | 1.3% (0.0–6.3%) n=32,322 | 1.4% (0.0–4.6%) n=410 |
| Foreign-born population | 2.3% | 2.6% (0.0–18.6%) n=32,553 | 2.7% (0.0–9.0%) n=419 |
| Single-parent households | 23.7% | 53.6% (37.3–74.1%) n=32,087 | 50.9% (37.6–69.9%) n=404 |
| Population 65+ | 0.9% | 19.4% (10.8–33.6%) n=32,553 | 19.6% (10.9–31.7%) n=419 |
| Median age | 21.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.4 yr (33.8–54.1) n=415 |
| Median household income | $54,716 | $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 | $1,939 | $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 | 75.5 yr ± 1.13 | 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 1.13 years of 75.5, 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