ZIP code
25075
in Eskdale, West VirginiaPopulation 660
31.16/ 100
Ranked #30,513 of 32,066 US ZIPs (bottom 4.9%)
Ranked #483 of 697 West Virginia ZIPs (bottom 31%)
Ranked #59 of 83 Charleston, WV ZIPs (bottom 29%)
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
31.9%
in the top 2.2% nationally
Lower is healthier
ST87thUS98thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Households without a vehicle
28.9%
in the top 2.6% nationally
Lower is healthier
ST97thUS97thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Tree cover
84.4%
in the top 3.3% nationally
Higher is healthier
ST55thUS97thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Cognitive disability
21.5%
in the top 4.8% nationally
Lower is healthier
ST73rdUS95thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Lead in tap water
0 ppb
at the national minimum
Lower is healthier
US1stDefinition & source ›
The lead level at the 90th percentile of tap-water samples reported by the public water systems serving this ZIP, in parts per billion — the EPA requires action above 15 ppb.
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 ›High blood pressure
48.8%
in the top 4.8% nationally
Lower is healthier
ST68thUS95thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Independent-living disability
13.1%
in the top 6.4% nationally
Lower is healthier
ST69thUS94thDefinition & 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 ›High cholesterol
45%
in the top 4.4% nationally
Lower is healthier
ST51stUS96thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Home broadband subscription
71.1%
in the bottom 6.8% nationally
Higher is healthier
ST18thUS7thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Mobility disability
22.4%
in the top 8.4% nationally
Lower is healthier
ST62ndUS92ndDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›The read
Eskdale, West Virginia (ZIP 25075), on the composite measure, lands in the bottom 4.9% nationally (30,513th) and the bottom 31% of West Virginia (483rd).
Where the data leans one way, another reading answers it: modeled tree cover registers in the top 3.3% nationally, and lead in tap water lands at the national minimum. Unemployment resides at the national minimum, shared with about 15% of ZIPs. On the other hand, modeled tooth loss lies in the top 2.2% nationally, and households without a vehicle settles in the top 2.6% nationally. Modeled cognitive disability stands in the top 4.8% nationally, and high blood pressure is in the top 4.8% nationally. Modeled independent living disability rests in the top 6.4% nationally, and high cholesterol sits in the top 4.4% nationally. Home broadband subscription registers in the bottom 6.8% nationally.
In everyday language, lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. A healthier neighbor overall sits at ZIP 25049, 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, 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 92%
14%
Climate / Disaster Risk
healthier than 65%
5%
About typical
Healthcare Access
healthier than 58%
5%
Holding it back
Chronic Disease Burden
healthier than 4%
21%
Social Need / SDOH
healthier than 6%
16%
Preventive Care
healthier than 40%
13%
Risk Behavior
healthier than 3%
11%
Mental Health
healthier than 1%
8%
Disability
healthier than 9%
7%
Lifting this score
Environmental Hazard
healthier than 89%
14%
About typical
Chronic Disease Burden
healthier than 42%
21%
Healthcare Access
healthier than 58%
5%
Holding it back
Social Need / SDOH
healthier than 15%
16%
Preventive Care
healthier than 32%
13%
Risk Behavior
healthier than 33%
11%
Mental Health
healthier than 25%
8%
Disability
healthier than 34%
7%
Climate / Disaster Risk
healthier than 37%
5%
Lifting this score
Environmental Hazard
healthier than 91%
14%
Climate / Disaster Risk
healthier than 62%
5%
About typical
Chronic Disease Burden
healthier than 41%
21%
Healthcare Access
healthier than 49%
5%
Holding it back
Social Need / SDOH
healthier than 10%
16%
Preventive Care
healthier than 32%
13%
Risk Behavior
healthier than 34%
11%
Mental Health
healthier than 28%
8%
Disability
healthier than 35%
7%
“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
25008
West Virginiashares a border
Score 18.77
Closest healthier
25049
West Virginiashares a border
Score 34.72
Similar health profile
24731
West Virginia100% similar profile
Score 28.35
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 | 39.7% | 36.2–43.1 |
| High blood pressure among adults | 48.8% | 45.1–52.5 |
| Cancer (non-skin) or melanoma among adults | 9.5% | 8.6–10.5 |
| Current asthma among adults | 12.3% | 10.8–13.9 |
| Coronary heart disease among adults | 10.2% | 9.0–11.5 |
| Chronic obstructive pulmonary disease among adults | 12.7% | 10.9–14.6 |
| Depression among adults | 31.9% | 28.1–35.6 |
| Diagnosed diabetes among adults | 17.8% | 15.6–20.3 |
| High cholesterol among adults who have ever been screened | 45.0% | 41.0–48.6 |
| Obesity among adults | 43.2% | 37.8–48.4 |
| Stroke among adults | 4.9% | 4.3–5.5 |
| All teeth lost among adults aged >=65 years | 31.9% | 27.6–36.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.5% | 7.6–11.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.6% | 76.7–82.2 |
| Visits to doctor for routine checkup within the past year among adults | 80.8% | 77.5–83.6 |
| Cholesterol screening among adults | 86.4% | 84.3–88.4 |
| Colorectal cancer screening among adults aged 45–75 years | 63.9% | 59.8–67.9 |
| Visited dentist or dental clinic in the past year among adults | 57.1% | 53.9–60.4 |
| Mammography use among women aged 50-74 years | 70.7% | 64.4–76.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.3% | 11.8–17.0 |
| Current cigarette smoking among adults | 25.3% | 21.7–29.2 |
| No leisure-time physical activity among adults | 37.6% | 32.9–42.7 |
| Short sleep duration among adults | 40.4% | 36.5–44.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 29.3% | 25.6–33.2 |
| Frequent mental distress among adults | 23.2% | 20.6–26.0 |
| Frequent physical distress among adults | 19.6% | 17.3–22.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 21.5% | 18.8–24.2 |
| Any disability among adults | 44.5% | 40.0–49.1 |
| Hearing disability among adults | 10.1% | 8.9–11.5 |
| Independent living disability among adults | 13.1% | 11.4–14.8 |
| Mobility disability among adults | 22.4% | 19.5–25.4 |
| Self-care disability among adults | 5.7% | 4.9–6.5 |
| Vision disability among adults | 7.0% | 6.1–7.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 26.1% | 22.8–29.4 |
| Food insecurity in the past 12 months among adults | 21.5% | 18.2–24.9 |
| Received food stamps in the past 12 months among adults | 23.2% | 19.5–26.8 |
| Housing insecurity in the past 12 months among adults | 15.5% | 13.1–17.7 |
| Lack of reliable transportation in the past 12 months among adults | 10.4% | 8.9–11.8 |
| Loneliness among adults | 35.0% | 31.1–39.1 |
| Utility services shut-off threat in the past 12 months among adults | 13.9% | 12.0–15.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 18.5% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 19.4% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 42.5% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 2.2% | 23.3% (9.2–53.6%) n=32,505 | 14.1% (0.0–32.5%) n=695 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–17.9%) n=668 |
| Households without a vehicle | 28.9% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 71.1% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 23.7% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 58.5% | 78.7% (51.7–94.0%) n=32,322 | 84.0% (61.6–100.0%) n=694 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 0.0% (0.0–4.1%) n=694 |
| Foreign-born population | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 0.0% (0.0–2.1%) n=696 |
| Single-parent households | 70.9% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 36.2% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 46.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $68,083 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $25,700 | $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 at birth | 78.4 yr ± 1.17 | 78.9 yr (74.7–82.8) n=31,308 | 76.2 yr (73.1–81.1) n=686 |
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 1.17 years of 78.4, 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