ZIP code
25652
in Whitman, West VirginiaPopulation 1,524
26.32/ 100
Ranked #31,319 of 32,066 US ZIPs (bottom 2.4%)
Ranked #583 of 697 West Virginia ZIPs (bottom 16%)
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.
Short sleep
46.1%
in the top 2.0% nationally
Lower is healthier
ST90thUS98thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Unemployment rate
24.1%
in the top 1.4% nationally
Lower is healthier
ST94thUS99thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Tree cover
89.8%
in the top 1.4% nationally
Higher is healthier
ST77thUS99thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Cognitive disability
22.8%
in the top 2.7% nationally
Lower is healthier
ST85thUS97thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Independent-living disability
14.0%
in the top 4.1% nationally
Lower is healthier
ST79thUS96thDefinition & 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 ›Fair or poor health
32.6%
in the top 4.7% nationally
Lower is healthier
ST79thUS95thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Tooth loss
26.9%
in the top 5.3% nationally
Lower is healthier
ST68thUS95thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Mammography
66.7%
in the bottom 5.0% nationally
Higher is healthier
ST3rdUS5thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Obesity
45.2%
in the top 4.1% nationally
Lower is healthier
ST80thUS96thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Mobility disability
22.8%
in the top 7.3% nationally
Lower is healthier
ST65thUS93rdDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Cross-source signals
Health need and barriers to care documented here
On our reading, this ZIP code carries the overlap at its acute level: acute means at least three of the six health-need readings and at least three of the six access barriers apply to the same place.
These are two separate readings of public data that both apply to this place — never a claim that one causes the other, never a severity score, and never a statement about any person who lives here.
Health need documented here
- People living in poverty
- Adults reporting fair or poor health
- Chronic conditions
Barriers to reaching care
- Thin local supply of doctors
- Thin local supply of pharmacies
- Limited home internet for telehealth
A reading appears below only where this ZIP code is among the most-affected 10% of US ZIP codes on it — one national bar, the same for every ZIP in the country.
See the full care-deserts analysis →The read
By its overall health score, Whitman, West Virginia (ZIP 25652) lands in the bottom 2.4% nationally (31,319th) and the bottom 16% of West Virginia (583rd), based on limited data; treat as directional.
The measures that define the ground here come first: modeled short sleep lands in the top 2.0% nationally, and unemployment registers in the top 1.4% nationally. Modeled cognitive disability sits in the top 2.7% nationally, and independent living disability rests in the top 4.1% nationally. Modeled fair or poor health is in the top 4.7% nationally, tooth loss stands in the top 5.3% nationally, and mammography settles in the bottom 5.0% nationally. Modeled obesity lies in the top 4.1% nationally, and mobility disability resides in the top 7.3% nationally. On the stronger side, modeled tree cover lands in the top 1.4% nationally.
Overall, the nearest healthier neighbor is ZIP 25638, just across the boundary. On a broader view, the area also shows documented health need overlapping with barriers to reaching care, sitting in the most-affected 10% of US ZIP codes on several need measures and several access barriers.
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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental HazardPartial
healthier than 74%
14%
Climate / Disaster Risk
healthier than 66%
5%
Healthcare Access
healthier than 67%
5%
Holding it back
Chronic Disease Burden
healthier than 4%
21%
Social Need / SDOH
healthier than 4%
16%
Preventive Care
healthier than 15%
13%
Risk Behavior
in the bottom 1.0%
11%
Mental Health
in the bottom 0.4%
8%
Disability
healthier than 7%
7%
Lifting this score
Environmental HazardPartial
healthier than 62%
14%
Healthcare Access
healthier than 75%
5%
About typical
Chronic Disease Burden
healthier than 45%
21%
Climate / Disaster Risk
healthier than 41%
5%
Holding it back
Social Need / SDOH
healthier than 9%
16%
Preventive Care
healthier than 6%
13%
Risk Behavior
healthier than 12%
11%
Mental Health
healthier than 7%
8%
Disability
healthier than 29%
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
25601
West Virginiashares a border
Score 25.22
Closest healthier
25638
West Virginiashares a border
Score 29.21
Similar health profile
26690
West Virginia100% similar profile
Score 29.36
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 | 40.2% | 36.4–44.0 |
| High blood pressure among adults | 46.4% | 42.2–50.8 |
| Cancer (non-skin) or melanoma among adults | 8.9% | 7.9–9.9 |
| Current asthma among adults | 13.1% | 11.5–14.9 |
| Coronary heart disease among adults | 9.7% | 8.5–11.0 |
| Chronic obstructive pulmonary disease among adults | 13.6% | 11.7–15.8 |
| Depression among adults | 35.1% | 30.7–39.6 |
| Diagnosed diabetes among adults | 17.7% | 15.4–20.2 |
| High cholesterol among adults who have ever been screened | 44.3% | 40.1–48.7 |
| Obesity among adults | 45.2% | 37.8–52.9 |
| Stroke among adults | 4.8% | 4.2–5.4 |
| All teeth lost among adults aged >=65 years | 26.9% | 22.4–31.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 11.1% | 8.5–13.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.5% | 76.8–82.1 |
| Visits to doctor for routine checkup within the past year among adults | 79.6% | 75.8–83.0 |
| Cholesterol screening among adults | 84.1% | 81.2–86.5 |
| Colorectal cancer screening among adults aged 45–75 years | 61.9% | 56.9–66.8 |
| Visited dentist or dental clinic in the past year among adults | 42.7% | 38.8–46.7 |
| Mammography use among women aged 50-74 years | 66.7% | 58.1–74.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.4% | 10.8–16.3 |
| Current cigarette smoking among adults | 25.8% | 21.6–30.3 |
| No leisure-time physical activity among adults | 39.9% | 34.1–46.0 |
| Short sleep duration among adults | 46.1% | 39.4–52.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 32.6% | 28.1–37.5 |
| Frequent mental distress among adults | 24.4% | 21.6–27.4 |
| Frequent physical distress among adults | 20.9% | 18.2–23.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 22.8% | 19.7–26.1 |
| Any disability among adults | 45.6% | 40.1–51.3 |
| Hearing disability among adults | 9.7% | 8.5–11.0 |
| Independent living disability among adults | 14.0% | 12.0–16.1 |
| Mobility disability among adults | 22.8% | 19.8–26.4 |
| Self-care disability among adults | 5.9% | 5.1–6.9 |
| Vision disability among adults | 7.3% | 6.4–8.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 26.6% | 22.5–30.8 |
| Food insecurity in the past 12 months among adults | 22.0% | 17.8–26.1 |
| Received food stamps in the past 12 months among adults | 25.9% | 21.3–30.6 |
| Housing insecurity in the past 12 months among adults | 15.7% | 13.0–18.5 |
| Lack of reliable transportation in the past 12 months among adults | 11.7% | 9.8–13.7 |
| Loneliness among adults | 38.7% | 33.4–44.2 |
| Utility services shut-off threat in the past 12 months among adults | 14.2% | 12.0–16.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 27.9% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 11.7% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 5.8% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 21.4% | 23.3% (9.2–53.6%) n=32,505 | 14.1% (0.0–32.5%) n=695 |
| Unemployment rate (16+) | 24.1% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–17.9%) n=668 |
| Households without a vehicle | 4.9% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 96.4% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 28.3% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 96.7% | 78.7% (51.7–94.0%) n=32,322 | 84.0% (61.6–100.0%) n=694 |
| Crowded housing (>1 per room) | 1.3% | 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 | 34.9% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 15.0% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 35.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $48,026 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $84,000 | $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 | 81.3 yr ± 2.79 | 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 2.79 years of 81.3, 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