ZIP code
25942
in Winona, West VirginiaPopulation 32
46.91/ 100
Ranked #20,272 of 32,066 US ZIPs (bottom 37%)
Ranked #36 of 697 West Virginia ZIPs (top 5.2%)
Ranked #3 of 75 Beckley, WV ZIPs (top 4.0%)
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.
Households without a vehicle
100%
at the national maximum
Lower is healthier
ST99thUS99thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Home broadband subscription
0.00%
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Poverty rate
100%
at the national maximum
Lower is healthier
ST99thUS99thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Tree cover
94%
in the top 0.4% nationally
Higher is healthier
ST93rdUS99thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Housing-cost burden
56.3%
in the top 1.6% nationally
Lower is healthier
ST98thUS98thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Short sleep
45.3%
in the top 2.7% nationally
Lower is healthier
ST84thUS97thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
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 ›Homeownership rate
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Floodplain exposure
0.72%
in the bottom 10.8% nationally
Lower is healthier
ST9thUS11thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›Vision disability
3.9%
in the bottom 18% nationally
Lower is healthier
ST1stUS18thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›The read
Judged by its overall standing, Winona, West Virginia (ZIP 25942) sits in the bottom 37% nationally (20,272nd) and the top 5.2% of West Virginia (36th).
A few readings account for most of this area's strain: households without a vehicle stands at the national maximum, home broadband subscription resides at the national minimum, and poverty sits at the national maximum. Housing-cost burden stands in the top 1.6% nationally, and modeled short sleep resides in the top 2.7% nationally. Fiber broadband sits at the national minimum, shared with about 19% of ZIPs. On the better side, modeled tree cover stands in the top 0.4% nationally, and transportation noise resides at the national minimum. Homeownership sits at the national maximum. Modeled extreme heat stands at the national minimum, shared with about 19% of ZIPs.
Placed beside its immediate neighbors, households without a vehicle runs far higher than the surrounding ZIPs on this measure. Put plainly, transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. A healthier nearby ZIP overall is ZIP 25837, 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 Beckley, 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 93%
14%
Preventive Care
healthier than 70%
13%
Disability
healthier than 64%
7%
Climate / Disaster Risk
healthier than 88%
5%
Healthcare Access
healthier than 61%
5%
Holding it back
Chronic Disease Burden
healthier than 37%
21%
Social Need / SDOH
healthier than 14%
16%
Risk Behavior
healthier than 17%
11%
Mental Health
healthier than 6%
8%
Lifting this score
Chronic Disease Burden
healthier than 96%
21%
Environmental Hazard
healthier than 91%
14%
Preventive Care
healthier than 79%
13%
Risk Behavior
healthier than 80%
11%
Mental Health
healthier than 83%
8%
Disability
healthier than 99%
7%
Climate / Disaster Risk
healthier than 94%
5%
Healthcare Access
healthier than 64%
5%
Holding it back
Social Need / SDOH
healthier than 34%
16%
Lifting this score
Chronic Disease Burden
healthier than 99%
21%
Social Need / SDOH
healthier than 60%
16%
Environmental Hazard
healthier than 92%
14%
Preventive Care
healthier than 84%
13%
Risk Behavior
healthier than 92%
11%
Mental Health
healthier than 88%
8%
Disability
in the top 0.00%
7%
Climate / Disaster Risk
healthier than 89%
5%
Healthcare Access
healthier than 62%
5%
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
25831
West Virginiashares a border
Score 34.19
Closest healthier
25837
West Virginiashares a border
Score 48.87
Similar health profile
18453
Pennsylvania99% similar profile
Score 50.13
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 | 34.2% | 30.6–37.7 |
| High blood pressure among adults | 38.6% | 34.3–42.5 |
| Cancer (non-skin) or melanoma among adults | 9.3% | 8.3–10.4 |
| Current asthma among adults | 11.6% | 10.2–13.0 |
| Coronary heart disease among adults | 7.0% | 5.9–8.2 |
| Chronic obstructive pulmonary disease among adults | 7.8% | 6.2–9.6 |
| Depression among adults | 30.1% | 26.1–34.1 |
| Diagnosed diabetes among adults | 13.1% | 11.1–15.1 |
| High cholesterol among adults who have ever been screened | 42.5% | 38.3–46.6 |
| Obesity among adults | 36.4% | 30.1–42.9 |
| Stroke among adults | 3.1% | 2.6–3.7 |
| All teeth lost among adults aged >=65 years | 17.7% | 14.7–21.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.3% | 4.4–8.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.1% | 74.9–80.9 |
| Visits to doctor for routine checkup within the past year among adults | 79.9% | 76.4–83.2 |
| Cholesterol screening among adults | 88.8% | 86.6–91.0 |
| Colorectal cancer screening among adults aged 45–75 years | 66.4% | 61.4–71.0 |
| Visited dentist or dental clinic in the past year among adults | 58.9% | 54.9–62.5 |
| Mammography use among women aged 50-74 years | 78.1% | 71.4–83.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.0% | 12.4–18.0 |
| Current cigarette smoking among adults | 16.6% | 12.4–20.6 |
| No leisure-time physical activity among adults | 26.9% | 21.5–32.2 |
| Short sleep duration among adults | 45.3% | 39.4–51.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.4% | 16.5–24.4 |
| Frequent mental distress among adults | 19.9% | 17.1–22.7 |
| Frequent physical distress among adults | 14.6% | 12.2–17.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.5% | 12.8–18.4 |
| Any disability among adults | 33.5% | 28.2–38.7 |
| Hearing disability among adults | 7.5% | 6.4–8.6 |
| Independent living disability among adults | 7.9% | 6.5–9.5 |
| Mobility disability among adults | 13.9% | 11.3–16.7 |
| Self-care disability among adults | 3.1% | 2.5–3.8 |
| Vision disability among adults | 3.9% | 3.2–4.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.4% | 18.6–26.6 |
| Food insecurity in the past 12 months among adults | 10.7% | 7.8–14.2 |
| Received food stamps in the past 12 months among adults | 11.1% | 8.0–14.8 |
| Housing insecurity in the past 12 months among adults | 9.7% | 7.5–12.3 |
| Lack of reliable transportation in the past 12 months among adults | 6.3% | 5.1–7.8 |
| Loneliness among adults | 34.0% | 29.1–39.2 |
| Utility services shut-off threat in the past 12 months among adults | 8.1% | 6.5–9.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 100.0% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | — | 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+) | — | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–17.9%) n=668 |
| Households without a vehicle | 100.0% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 0.0% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 56.3% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 100.0% | 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 | — | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 100.0% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | — | 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 | 74.9 yr ± 2.42 | 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 2.42 years of 74.9, 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