ZIP code
25081
in Foster, West VirginiaPopulation 1,084
39.60/ 100
Ranked #27,019 of 32,066 US ZIPs (bottom 16%)
Ranked #170 of 697 West Virginia ZIPs (top 24%)
Ranked #11 of 83 Charleston, WV ZIPs (top 13.3%)
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.
Fatal road crashes
0 per 100,000 residents per year
at the national minimum
Lower is healthier
ST1stUS1stDefinition & 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 ›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 ›Tree cover
80.2%
in the top 4.9% nationally
Higher is healthier
ST42ndUS95thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Short sleep
43.3%
in the top 5.8% nationally
Lower is healthier
ST61stUS94thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Poverty rate
1.1%
in the bottom 5.4% nationally
Lower is healthier
ST12thUS5thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Obesity
44.9%
in the top 4.6% nationally
Lower is healthier
ST78thUS95thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Housing-cost burden
7.8%
in the bottom 7.0% nationally
Lower is healthier
ST24thUS7thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Homeownership rate
95.7%
in the top 7.7% nationally
Higher is healthier
ST77thUS92ndDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Slow internet speeds
1.1%
in the top 10.0% nationally
Lower is healthier
ST91stUS90thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Median household income
$108,125
in the top 14.3% nationally
Higher is healthier
ST98thUS86thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›The read
On the composite measure, Foster, West Virginia (ZIP 25081) stands in the bottom 16% nationally (27,019th) and the top 24% of West Virginia (170th).
A balanced set of signals defines this area, not any single one: fatal road crashes lands at the national minimum, and lead in tap water settles at the national minimum. Modeled tree cover rests in the top 4.9% nationally, and poverty lands in the bottom 5.4% nationally. Housing-cost burden settles in the bottom 7.0% nationally. Unemployment rests at the national minimum, shared with about 15% of ZIPs. Homeownership lands in the top 7.7% nationally. Households without a vehicle settles at the national minimum, shared with about 16% of ZIPs. By contrast, modeled short sleep rests in the top 5.8% nationally, and obesity lands in the top 4.6% nationally.
For clarity, lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. ZIP 25093, about 2.2 miles away, 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
Climate / Disaster Risk
healthier than 66%
5%
Healthcare Access
healthier than 65%
5%
About typical
Social Need / SDOH
healthier than 47%
16%
Environmental Hazard
healthier than 52%
14%
Preventive Care
healthier than 55%
13%
Holding it back
Chronic Disease Burden
healthier than 13%
21%
Risk Behavior
healthier than 8%
11%
Mental Health
healthier than 2%
8%
Disability
healthier than 30%
7%
Lifting this score
Chronic Disease Burden
healthier than 82%
21%
Social Need / SDOH
healthier than 77%
16%
Disability
healthier than 85%
7%
Healthcare Access
healthier than 72%
5%
About typical
Environmental Hazard
healthier than 42%
14%
Preventive Care
healthier than 54%
13%
Risk Behavior
healthier than 60%
11%
Mental Health
healthier than 41%
8%
Climate / Disaster Risk
healthier than 41%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 87%
21%
Social Need / SDOH
healthier than 84%
16%
Risk Behavior
healthier than 72%
11%
Disability
healthier than 91%
7%
Climate / Disaster Risk
healthier than 68%
5%
Healthcare Access
healthier than 63%
5%
About typical
Environmental Hazard
healthier than 41%
14%
Preventive Care
healthier than 57%
13%
Mental Health
healthier than 54%
8%
Nothing measured is holding this score back.
“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
25053
West Virginiashares a border
Score 36.34
Closest healthier
25093
West Virginiaabout 2.2 mi away
Score 43.11
Similar health profile
25168
West Virginia100% similar profile
Score 38.68
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 | 38.3% | 34.6–42.2 |
| High blood pressure among adults | 44.2% | 39.8–48.6 |
| Cancer (non-skin) or melanoma among adults | 9.4% | 8.5–10.4 |
| Current asthma among adults | 12.7% | 11.2–14.4 |
| Coronary heart disease among adults | 8.1% | 7.2–9.2 |
| Chronic obstructive pulmonary disease among adults | 10.5% | 9.0–12.3 |
| Depression among adults | 31.6% | 27.3–36.0 |
| Diagnosed diabetes among adults | 15.0% | 13.0–17.3 |
| High cholesterol among adults who have ever been screened | 43.1% | 38.5–47.6 |
| Obesity among adults | 44.9% | 37.0–52.8 |
| Stroke among adults | 3.9% | 3.5–4.3 |
| All teeth lost among adults aged >=65 years | 18.5% | 15.1–22.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.9% | 6.2–9.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.1% | 76.2–81.7 |
| Visits to doctor for routine checkup within the past year among adults | 80.4% | 76.9–83.7 |
| Cholesterol screening among adults | 87.0% | 84.9–89.0 |
| Colorectal cancer screening among adults aged 45–75 years | 67.8% | 62.8–72.5 |
| Visited dentist or dental clinic in the past year among adults | 51.7% | 47.5–55.7 |
| Mammography use among women aged 50-74 years | 75.7% | 67.9–82.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.6% | 11.9–17.7 |
| Current cigarette smoking among adults | 19.9% | 16.7–23.4 |
| No leisure-time physical activity among adults | 32.9% | 27.7–38.5 |
| Short sleep duration among adults | 43.3% | 36.3–50.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 24.9% | 21.4–28.9 |
| Frequent mental distress among adults | 21.8% | 19.3–24.6 |
| Frequent physical distress among adults | 17.3% | 15.1–19.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.8% | 16.2–21.6 |
| Any disability among adults | 38.7% | 33.8–44.1 |
| Hearing disability among adults | 8.2% | 7.2–9.4 |
| Independent living disability among adults | 10.4% | 8.9–12.0 |
| Mobility disability among adults | 18.0% | 15.4–21.0 |
| Self-care disability among adults | 4.3% | 3.7–4.9 |
| Vision disability among adults | 5.1% | 4.5–5.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.7% | 20.0–27.6 |
| Food insecurity in the past 12 months among adults | 14.9% | 12.1–18.2 |
| Received food stamps in the past 12 months among adults | 15.7% | 12.9–19.1 |
| Housing insecurity in the past 12 months among adults | 11.7% | 9.7–13.9 |
| Lack of reliable transportation in the past 12 months among adults | 8.3% | 7.0–9.7 |
| Loneliness among adults | 33.2% | 28.0–38.4 |
| Utility services shut-off threat in the past 12 months among adults | 9.9% | 8.4–11.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 1.1% | 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+) | 4.3% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 7.5% | 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 | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 95.0% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 7.8% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 95.7% | 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 | 59.9% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 18.5% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 47.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $108,125 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $166,700 | $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 | 73.8 yr ± 1.15 | 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 1.15 years of 73.8, 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