ZIP code
25208
in Wharton, West VirginiaPopulation 852
20.30/ 100
Ranked #31,863 of 32,066 US ZIPs (bottom 0.7%)
Ranked #652 of 697 West Virginia ZIPs (bottom 6.5%)
Ranked #82 of 83 Charleston, WV ZIPs (bottom 1.3%)
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.
Tooth loss
35.9%
in the top 1.0% nationally
Lower is healthier
ST94thUS99thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Mobility disability
29.1%
in the top 0.8% nationally
Lower is healthier
ST95thUS99thDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Fair or poor health
38.1%
in the top 1.2% nationally
Lower is healthier
ST95thUS99thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Diabetes
22.9%
in the top 1.2% nationally
Lower is healthier
ST96thUS99thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Independent-living disability
16%
in the top 1.7% nationally
Lower is healthier
ST92ndUS98thDefinition & source ›
The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.
Full methodology ›Coronary heart disease
13.0%
in the top 0.8% nationally
Lower is healthier
ST95thUS99thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Elder-services access
1.3 per 1,000 residents
in the top 0.5% nationally
Higher is healthier
ST99thUS99thDefinition & 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 ›Obesity
51.6%
in the top 0.3% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›High blood pressure
55.1%
in the top 0.8% nationally
Lower is healthier
ST97thUS99thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Cognitive disability
23.9%
in the top 1.7% nationally
Lower is healthier
ST91stUS98thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›The read
On the composite measure, Wharton, West Virginia (ZIP 25208) stands in the bottom 0.7% nationally (31,863rd) and the bottom 6.5% of West Virginia (652nd).
A number of readings press hard on the profile and set its tone: modeled tooth loss resides in the top 1.0% nationally, and mobility disability stands in the top 0.8% nationally. Modeled fair or poor health sits in the top 1.2% nationally, and diabetes resides in the top 1.2% nationally. Modeled independent living disability stands in the top 1.7% nationally, coronary heart disease sits in the top 0.8% nationally, and obesity resides in the top 0.3% nationally. Modeled high blood pressure stands in the top 0.8% nationally, and cognitive disability sits in the top 1.7% nationally. On the brighter side, elder services resides in the top 0.5% nationally.
Set beside the wider area around it, elder services runs far higher than the surrounding ZIPs on this measure. ZIP 24854, just across the boundary, ranks better overall among the ZIPs nearby.
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, WV metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental Hazard
healthier than 96%
14%
Climate / Disaster Risk
healthier than 71%
5%
About typical
Healthcare Access
healthier than 40%
5%
Holding it back
Chronic Disease Burden
in the bottom 0.08%
21%
Social Need / SDOH
healthier than 3%
16%
Preventive Care
healthier than 27%
13%
Risk Behavior
in the bottom 0.5%
11%
Mental Health
healthier than 1%
8%
Disability
healthier than 1%
7%
Lifting this score
Environmental Hazard
healthier than 98%
14%
About typical
Climate / Disaster Risk
healthier than 55%
5%
Holding it back
Chronic Disease Burden
healthier than 2%
21%
Social Need / SDOH
healthier than 8%
16%
Preventive Care
healthier than 16%
13%
Risk Behavior
healthier than 6%
11%
Mental Health
healthier than 21%
8%
Disability
healthier than 6%
7%
Healthcare Access
healthier than 29%
5%
Lifting this score
Environmental Hazard
healthier than 99%
14%
Climate / Disaster Risk
healthier than 91%
5%
Holding it back
Chronic Disease Burden
in the bottom 0.00%
21%
Social Need / SDOH
healthier than 2%
16%
Preventive Care
healthier than 10%
13%
Risk Behavior
healthier than 2%
11%
Mental Health
healthier than 20%
8%
Disability
healthier than 1%
7%
Healthcare Access
healthier than 24%
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
24827
West Virginiashares a border
Score 17.38
Closest healthier
24854
West Virginiashares a border
Score 20.76
Similar health profile
24808
West Virginia100% similar profile
Score 20.20
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 | 47.0% | 43.2–51.0 |
| High blood pressure among adults | 55.1% | 50.7–59.5 |
| Cancer (non-skin) or melanoma among adults | 10.4% | 9.3–11.6 |
| Current asthma among adults | 13.3% | 11.8–15.1 |
| Coronary heart disease among adults | 13.0% | 11.5–14.7 |
| Chronic obstructive pulmonary disease among adults | 18.5% | 16.1–21.2 |
| Depression among adults | 32.1% | 27.9–36.6 |
| Diagnosed diabetes among adults | 22.9% | 20.1–25.9 |
| High cholesterol among adults who have ever been screened | 48.7% | 44.1–53.4 |
| Obesity among adults | 51.6% | 43.6–59.5 |
| Stroke among adults | 6.4% | 5.7–7.2 |
| All teeth lost among adults aged >=65 years | 35.9% | 30.4–41.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 12.2% | 9.4–15.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 82.5% | 79.9–84.8 |
| Visits to doctor for routine checkup within the past year among adults | 81.3% | 77.8–84.4 |
| Cholesterol screening among adults | 85.0% | 82.6–87.3 |
| Colorectal cancer screening among adults aged 45–75 years | 61.5% | 56.0–66.6 |
| Visited dentist or dental clinic in the past year among adults | 43.4% | 39.4–47.3 |
| Mammography use among women aged 50-74 years | 72.6% | 64.3–80.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 11.9% | 9.6–14.5 |
| Current cigarette smoking among adults | 30.0% | 26.3–34.1 |
| No leisure-time physical activity among adults | 46.5% | 40.6–52.6 |
| Short sleep duration among adults | 45.0% | 38.0–52.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 38.1% | 33.4–42.8 |
| Frequent mental distress among adults | 23.6% | 21.1–26.4 |
| Frequent physical distress among adults | 23.9% | 21.0–26.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 23.9% | 21.1–27.0 |
| Any disability among adults | 50.8% | 45.4–56.1 |
| Hearing disability among adults | 12.4% | 10.9–14.0 |
| Independent living disability among adults | 16.0% | 14.0–18.3 |
| Mobility disability among adults | 29.1% | 25.4–32.9 |
| Self-care disability among adults | 7.8% | 6.8–9.1 |
| Vision disability among adults | 9.5% | 8.3–10.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.4% | 21.6–29.5 |
| Food insecurity in the past 12 months among adults | 26.4% | 22.1–31.2 |
| Received food stamps in the past 12 months among adults | 32.6% | 27.6–37.6 |
| Housing insecurity in the past 12 months among adults | 16.8% | 14.1–19.6 |
| Lack of reliable transportation in the past 12 months among adults | 12.9% | 11.0–14.9 |
| Loneliness among adults | 33.3% | 28.2–38.5 |
| Utility services shut-off threat in the past 12 months among adults | 15.8% | 13.6–18.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 36.6% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 0.0% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 8.5% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 11.0% | 23.3% (9.2–53.6%) n=32,505 | 14.1% (0.0–32.5%) n=695 |
| Unemployment rate (16+) | 1.5% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–17.9%) n=668 |
| Households without a vehicle | 0.9% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 91.5% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 13.7% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 81.1% | 78.7% (51.7–94.0%) n=32,322 | 84.0% (61.6–100.0%) n=694 |
| Crowded housing (>1 per room) | 9.1% | 1.3% (0.0–6.3%) n=32,322 | 0.0% (0.0–4.1%) n=694 |
| Foreign-born population | 1.1% | 2.6% (0.0–18.6%) n=32,553 | 0.0% (0.0–2.1%) n=696 |
| Single-parent households | 37.1% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 17.6% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 34.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $41,406 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $42,900 | $222,200 ($100,300–$579,820) n=30,049 | $125,600 ($66,920–$223,500) n=553 |
| Median gross rent | — | $1,021 ($677–$1,912) n=25,670 | $802 ($586–$1,085) n=293 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | WV 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