ZIP code
25025
in Blount, West VirginiaPopulation 83
34.81/ 100
Ranked #29,459 of 32,066 US ZIPs (bottom 8.2%)
Ranked #336 of 697 West Virginia ZIPs (top 48%)
Ranked #33 of 83 Charleston, WV ZIPs (top 40%)
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.
Tree cover
96.6%
in the top 0.04% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Crowded housing
62.5%
in the top 0.08% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Households without a vehicle
37.5%
in the top 1.7% nationally
Lower is healthier
ST98thUS98thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Housing-cost burden
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Transportation noise
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Poverty rate
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Tooth loss
27.8%
in the top 4.6% nationally
Lower is healthier
ST72ndUS95thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Home broadband subscription
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of households with a broadband internet subscription.
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 ›Homeownership rate
37.5%
in the bottom 4.7% nationally
Higher is healthier
ST2ndUS5thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›The read
In its overall standing, Blount, West Virginia (ZIP 25025) lands in the bottom 8.2% nationally (29,459th) and the top 48% of West Virginia (336th).
This area's pressures are easy to read across the measures: crowded housing sits in the top 0.08% nationally, households without a vehicle lands in the top 1.7% nationally, and modeled tooth loss lies in the top 4.6% nationally. Homeownership stands in the bottom 4.7% nationally. On the brighter side, modeled tree cover rests in the top 0.04% nationally, and housing-cost burden registers at the national minimum. Modeled transportation noise resides at the national minimum, and poverty settles at the national minimum. Home broadband subscription is at the national maximum, and lead in tap water sits at the national minimum.
Against the wider neighborhood, crowded housing runs far higher than the surrounding ZIPs on this measure. Put simply, lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. On the overall standing, ZIP 25015, just across the boundary, ranks healthier.
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 82%
14%
Climate / Disaster Risk
healthier than 68%
5%
About typical
Healthcare Access
healthier than 59%
5%
Holding it back
Chronic Disease Burden
healthier than 12%
21%
Social Need / SDOH
healthier than 14%
16%
Preventive Care
healthier than 27%
13%
Risk Behavior
healthier than 1%
11%
Mental Health
healthier than 2%
8%
Disability
healthier than 20%
7%
Lifting this score
Chronic Disease Burden
healthier than 80%
21%
Environmental Hazard
healthier than 72%
14%
Disability
healthier than 67%
7%
Healthcare Access
healthier than 61%
5%
About typical
Climate / Disaster Risk
healthier than 46%
5%
Holding it back
Social Need / SDOH
healthier than 36%
16%
Preventive Care
healthier than 17%
13%
Risk Behavior
healthier than 13%
11%
Mental Health
healthier than 39%
8%
Lifting this score
Chronic Disease Burden
healthier than 83%
21%
Environmental Hazard
healthier than 80%
14%
Disability
healthier than 78%
7%
Climate / Disaster Risk
healthier than 78%
5%
About typical
Mental Health
healthier than 51%
8%
Healthcare Access
healthier than 50%
5%
Holding it back
Social Need / SDOH
healthier than 34%
16%
Preventive Care
healthier than 12%
13%
Risk Behavior
healthier than 9%
11%
“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
25015
West Virginiashares a border
Score 37.79
Closest healthier
25306
West Virginiashares a border
Score 40.71
Similar health profile
45658
Ohio99% similar profile
Score 38.27
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 | 35.2% | 32.0–38.5 |
| High blood pressure among adults | 46.3% | 42.4–50.0 |
| Cancer (non-skin) or melanoma among adults | 8.0% | 7.1–9.1 |
| Current asthma among adults | 11.5% | 10.1–13.0 |
| Coronary heart disease among adults | 8.9% | 7.7–10.5 |
| Chronic obstructive pulmonary disease among adults | 10.9% | 9.1–13.3 |
| Depression among adults | 30.2% | 26.6–34.1 |
| Diagnosed diabetes among adults | 16.0% | 13.9–18.3 |
| High cholesterol among adults who have ever been screened | 43.5% | 39.7–47.4 |
| Obesity among adults | 42.7% | 37.5–47.8 |
| Stroke among adults | 4.1% | 3.6–4.8 |
| All teeth lost among adults aged >=65 years | 27.8% | 23.6–32.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.1% | 7.4–13.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.3% | 72.9–79.4 |
| Visits to doctor for routine checkup within the past year among adults | 78.1% | 74.5–81.4 |
| Cholesterol screening among adults | 84.8% | 82.0–87.4 |
| Colorectal cancer screening among adults aged 45–75 years | 66.6% | 62.5–70.6 |
| Visited dentist or dental clinic in the past year among adults | 49.8% | 46.5–53.2 |
| Mammography use among women aged 50-74 years | 72.2% | 65.8–78.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.1% | 14.2–20.2 |
| Current cigarette smoking among adults | 26.1% | 21.7–30.6 |
| No leisure-time physical activity among adults | 34.7% | 29.5–40.0 |
| Short sleep duration among adults | 42.7% | 38.7–47.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 27.2% | 23.0–32.2 |
| Frequent mental distress among adults | 23.0% | 20.4–25.8 |
| Frequent physical distress among adults | 18.2% | 15.8–21.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 21.1% | 18.1–24.6 |
| Any disability among adults | 41.3% | 36.4–46.7 |
| Hearing disability among adults | 8.8% | 7.6–10.2 |
| Independent living disability among adults | 11.2% | 9.5–13.2 |
| Mobility disability among adults | 18.6% | 15.7–22.1 |
| Self-care disability among adults | 5.0% | 4.2–6.1 |
| Vision disability among adults | 5.9% | 5.0–7.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 28.2% | 24.3–32.1 |
| Food insecurity in the past 12 months among adults | 19.5% | 15.5–24.0 |
| Received food stamps in the past 12 months among adults | 19.1% | 15.2–23.4 |
| Housing insecurity in the past 12 months among adults | 14.9% | 12.2–17.8 |
| Lack of reliable transportation in the past 12 months among adults | 9.6% | 8.0–11.4 |
| Loneliness among adults | 35.3% | 30.9–39.5 |
| Utility services shut-off threat in the past 12 months among adults | 12.9% | 10.9–15.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 0.0% | 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+) | 0.0% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 0.0% | 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 | 37.5% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 100.0% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 0.0% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 37.5% | 78.7% (51.7–94.0%) n=32,322 | 84.0% (61.6–100.0%) n=694 |
| Crowded housing (>1 per room) | 62.5% | 1.3% (0.0–6.3%) n=32,322 | 0.0% (0.0–4.1%) n=694 |
| Foreign-born population | 10.8% | 2.6% (0.0–18.6%) n=32,553 | 0.0% (0.0–2.1%) n=696 |
| Single-parent households | 0.0% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 10.8% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 15.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | — | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | — | $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 | 82.3 yr ± 2.74 | 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 2.74 years of 82.3, 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