ZIP code
25989
in White Oak, West VirginiaPopulation 471
46.08/ 100
Ranked #21,253 of 32,066 US ZIPs (bottom 34%)
Ranked #44 of 697 West Virginia ZIPs (top 6.4%)
Ranked #4 of 75 Beckley, WV ZIPs (top 5.4%)
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.
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 ›Home broadband subscription
61.4%
in the bottom 3.2% nationally
Higher is healthier
ST9thUS3rdDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Households without a vehicle
21.7%
in the top 4.0% nationally
Lower is healthier
ST94thUS96thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›High cholesterol
45.5%
in the top 3.5% nationally
Lower is healthier
ST61stUS97thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Tree cover
78.2%
in the top 5.6% nationally
Higher is healthier
ST38thUS94thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Natural-disaster risk
in the bottom 7.7% nationally
Lower is healthier
ST10thUS8thDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›Expected annual disaster loss
$0
in the bottom 9.5% nationally
Lower is healthier
ST19thUS9thDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›Industrial-pollution burden
in the bottom 11.2% nationally
Lower is healthier
ST8thUS11thDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›Homeownership rate
55.4%
in the bottom 12.3% nationally
Higher is healthier
ST6thUS12thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Colon-cancer screening
71.8%
in the top 11.5% nationally
Higher is healthier
ST95thUS89thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›The read
Judged by its overall standing, White Oak, West Virginia (ZIP 25989) sits in the bottom 34% nationally (21,253rd) and the top 6.4% of West Virginia (44th).
A balanced showing across the data, with a few readings each side: housing-cost burden settles at the national minimum, and modeled tree cover lands in the top 5.6% nationally. Unemployment rests at the national minimum, shared with about 15% of ZIPs. Modeled disaster risk settles in the bottom 7.7% nationally, and expected annual loss lands in the bottom 9.5% nationally. Modeled extreme heat rests at the national minimum, shared with about 19% of ZIPs. On the other hand, home broadband subscription settles in the bottom 3.2% nationally, and households without a vehicle lands in the top 4.0% nationally. Modeled high cholesterol rests in the top 3.5% nationally. Fiber broadband settles at the national minimum, shared with about 19% of ZIPs.
Put plainly, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. Locally, no neighbor ranks healthier overall than this ZIP.
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 75%
14%
Preventive Care
healthier than 90%
13%
Climate / Disaster Risk
healthier than 83%
5%
About typical
Social Need / SDOH
healthier than 42%
16%
Risk Behavior
healthier than 44%
11%
Disability
healthier than 40%
7%
Healthcare Access
healthier than 57%
5%
Holding it back
Chronic Disease Burden
healthier than 15%
21%
Mental Health
healthier than 6%
8%
Lifting this score
Chronic Disease Burden
healthier than 85%
21%
Social Need / SDOH
healthier than 74%
16%
Environmental Hazard
healthier than 63%
14%
Preventive Care
healthier than 99%
13%
Risk Behavior
healthier than 97%
11%
Mental Health
healthier than 83%
8%
Disability
healthier than 91%
7%
Climate / Disaster Risk
healthier than 85%
5%
About typical
Healthcare Access
healthier than 56%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 92%
21%
Social Need / SDOH
healthier than 96%
16%
Preventive Care
in the top 0.00%
13%
Risk Behavior
in the top 0.00%
11%
Mental Health
healthier than 88%
8%
Disability
healthier than 93%
7%
Climate / Disaster Risk
healthier than 64%
5%
About typical
Environmental Hazard
healthier than 51%
14%
Healthcare Access
healthier than 51%
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
25825
West Virginiashares a border
Score 37.39
Similar health profile
24938
West Virginia99% similar profile
Score 45.90
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 | 39.6% | 36.1–43.2 |
| High blood pressure among adults | 44.2% | 40.2–48.3 |
| Cancer (non-skin) or melanoma among adults | 10.9% | 9.7–12.1 |
| Current asthma among adults | 12.4% | 11.0–14.0 |
| Coronary heart disease among adults | 7.7% | 6.6–8.8 |
| Chronic obstructive pulmonary disease among adults | 9.9% | 7.9–12.2 |
| Depression among adults | 30.1% | 26.4–34.2 |
| Diagnosed diabetes among adults | 15.2% | 13.0–17.6 |
| High cholesterol among adults who have ever been screened | 45.5% | 41.5–49.7 |
| Obesity among adults | 37.6% | 32.0–43.7 |
| Stroke among adults | 3.8% | 3.3–4.5 |
| All teeth lost among adults aged >=65 years | 16.6% | 13.5–19.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.4% | 4.7–8.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 82.0% | 79.3–84.4 |
| Visits to doctor for routine checkup within the past year among adults | 83.3% | 80.3–86.1 |
| Cholesterol screening among adults | 89.4% | 87.4–91.2 |
| Colorectal cancer screening among adults aged 45–75 years | 71.8% | 67.0–75.6 |
| Visited dentist or dental clinic in the past year among adults | 60.8% | 57.1–64.0 |
| Mammography use among women aged 50-74 years | 78.9% | 71.4–84.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.8% | 10.4–15.4 |
| Current cigarette smoking among adults | 15.5% | 12.1–19.3 |
| No leisure-time physical activity among adults | 30.4% | 25.4–36.0 |
| Short sleep duration among adults | 39.8% | 34.3–44.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 23.3% | 19.4–27.7 |
| Frequent mental distress among adults | 19.9% | 17.4–22.7 |
| Frequent physical distress among adults | 17.2% | 14.6–19.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.9% | 14.1–20.0 |
| Any disability among adults | 37.5% | 32.5–43.0 |
| Hearing disability among adults | 7.8% | 6.8–9.0 |
| Independent living disability among adults | 9.5% | 7.8–11.5 |
| Mobility disability among adults | 17.8% | 14.7–21.3 |
| Self-care disability among adults | 3.9% | 3.1–4.8 |
| Vision disability among adults | 4.8% | 4.0–5.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.8% | 19.1–26.6 |
| Food insecurity in the past 12 months among adults | 12.2% | 9.2–15.9 |
| Received food stamps in the past 12 months among adults | 12.2% | 8.9–16.3 |
| Housing insecurity in the past 12 months among adults | 9.3% | 7.3–11.6 |
| Lack of reliable transportation in the past 12 months among adults | 6.9% | 5.6–8.4 |
| Loneliness among adults | 35.7% | 30.8–40.5 |
| Utility services shut-off threat in the past 12 months among adults | 7.9% | 6.3–9.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 7.6% | 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+) | 21.6% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 23.6% | 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 | 21.7% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 61.4% | 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 | 55.4% | 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 | 71.1% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 32.3% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 43.3 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 | $199,000 | $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 | 78.1 yr ± 1.07 | 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 1.07 years of 78.1, 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