ZIP code
25102
in Handley, West VirginiaPopulation 418
29.50/ 100
Ranked #30,868 of 32,066 US ZIPs (bottom 3.8%)
Ranked #523 of 697 West Virginia ZIPs (bottom 25%)
Ranked #65 of 83 Charleston, WV ZIPs (bottom 22%)
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
92.5%
in the top 0.7% nationally
Higher is healthier
ST88thUS99thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Cognitive disability
22.6%
in the top 3.0% nationally
Lower is healthier
ST84thUS97thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Transportation noise
22%
in the top 2.1% nationally
Lower is healthier
ST99thUS98thDefinition & 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 ›Independent-living disability
13.8%
in the top 4.5% nationally
Lower is healthier
ST77thUS96thDefinition & 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 ›Loud transportation noise
3.1%
in the top 3.5% nationally
Lower is healthier
ST98thUS97thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 65 decibels — around the volume of normal conversation.
Full methodology ›Short sleep
44.1%
in the top 4.4% nationally
Lower is healthier
ST73rdUS96thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Housing-cost burden
3.0%
in the bottom 4.3% nationally
Lower is healthier
ST16thUS4thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Utility shut-off threat
16.8%
in the top 4.8% nationally
Lower is healthier
ST91stUS95thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Expected annual disaster loss
$0
in the bottom 6.2% nationally
Lower is healthier
ST8thUS6thDefinition & 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 ›Homeownership rate
96.2%
in the top 7.2% nationally
Higher is healthier
ST78thUS93rdDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›The read
Handley, West Virginia (ZIP 25102), overall, ranks in the bottom 3.8% nationally (30,868th) and the bottom 25% of West Virginia (523rd).
This area's pressures are easy to read across the measures: modeled cognitive disability lands in the top 3.0% nationally, transportation noise lies in the top 2.1% nationally, and independent living disability stands in the top 4.5% nationally. Modeled loud transportation noise rests in the top 3.5% nationally, short sleep registers in the top 4.4% nationally, and utility shutoff resides in the top 4.8% nationally. On the brighter side, modeled tree cover settles in the top 0.7% nationally, and housing-cost burden is in the bottom 4.3% nationally. Modeled expected annual loss sits in the bottom 6.2% nationally, and homeownership lands in the top 7.2% nationally.
Defined simply, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. Loud transportation noise is the modeled share of an area exposed to road, rail, and air noise at or above 65 decibels, near conversation volume. ZIP 25083, just across the boundary, comes out healthier overall.
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
Healthcare Access
healthier than 70%
5%
About typical
Climate / Disaster Risk
healthier than 60%
5%
Holding it back
Chronic Disease Burden
healthier than 7%
21%
Social Need / SDOH
healthier than 16%
16%
Environmental Hazard
healthier than 15%
14%
Preventive Care
healthier than 27%
13%
Risk Behavior
healthier than 1%
11%
Mental Health
in the bottom 0.7%
8%
Disability
healthier than 8%
7%
Lifting this score
Chronic Disease Burden
healthier than 64%
21%
Healthcare Access
healthier than 78%
5%
Holding it back
Social Need / SDOH
healthier than 40%
16%
Environmental Hazard
healthier than 9%
14%
Preventive Care
healthier than 16%
13%
Risk Behavior
healthier than 12%
11%
Mental Health
healthier than 13%
8%
Disability
healthier than 33%
7%
Climate / Disaster Risk
healthier than 21%
5%
Lifting this score
Chronic Disease Burden
healthier than 66%
21%
Healthcare Access
healthier than 67%
5%
About typical
Social Need / SDOH
healthier than 41%
16%
Holding it back
Environmental Hazard
healthier than 13%
14%
Preventive Care
healthier than 11%
13%
Risk Behavior
healthier than 6%
11%
Mental Health
healthier than 6%
8%
Disability
healthier than 33%
7%
Climate / Disaster Risk
healthier than 29%
5%
“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
25083
West Virginiashares a border
Score 30.29
Closest healthier
25110
West Virginiaabout 0.2 mi away
Score 33.81
Similar health profile
19142
Pennsylvania99% similar profile
Score 21.36
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 | 37.6% | 34.4–41.0 |
| High blood pressure among adults | 47.2% | 43.4–51.0 |
| Cancer (non-skin) or melanoma among adults | 8.3% | 7.4–9.2 |
| Current asthma among adults | 12.9% | 11.3–14.7 |
| Coronary heart disease among adults | 8.7% | 7.7–9.8 |
| Chronic obstructive pulmonary disease among adults | 12.2% | 10.5–14.1 |
| Depression among adults | 32.7% | 28.9–36.8 |
| Diagnosed diabetes among adults | 17.1% | 15.0–19.4 |
| High cholesterol among adults who have ever been screened | 42.4% | 38.6–46.2 |
| Obesity among adults | 44.7% | 39.3–49.9 |
| Stroke among adults | 4.7% | 4.2–5.3 |
| All teeth lost among adults aged >=65 years | 23.1% | 19.9–26.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.1% | 7.8–12.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.4% | 74.5–80.0 |
| Visits to doctor for routine checkup within the past year among adults | 79.9% | 76.7–82.9 |
| Cholesterol screening among adults | 85.0% | 82.6–87.4 |
| Colorectal cancer screening among adults aged 45–75 years | 65.4% | 61.5–69.3 |
| Visited dentist or dental clinic in the past year among adults | 47.8% | 44.5–51.2 |
| Mammography use among women aged 50-74 years | 70.9% | 64.6–76.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.8% | 12.3–17.5 |
| Current cigarette smoking among adults | 26.5% | 22.4–30.9 |
| No leisure-time physical activity among adults | 38.1% | 33.2–43.3 |
| Short sleep duration among adults | 44.1% | 40.0–48.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 29.8% | 25.9–34.2 |
| Frequent mental distress among adults | 24.5% | 21.8–27.5 |
| Frequent physical distress among adults | 19.4% | 17.0–22.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 22.6% | 19.5–26.0 |
| Any disability among adults | 44.3% | 39.4–49.4 |
| Hearing disability among adults | 8.7% | 7.7–9.9 |
| Independent living disability among adults | 13.8% | 11.9–15.9 |
| Mobility disability among adults | 22.0% | 19.3–24.9 |
| Self-care disability among adults | 5.9% | 5.2–6.8 |
| Vision disability among adults | 7.3% | 6.4–8.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 27.2% | 23.5–31.0 |
| Food insecurity in the past 12 months among adults | 24.8% | 20.6–29.0 |
| Received food stamps in the past 12 months among adults | 27.8% | 23.2–32.3 |
| Housing insecurity in the past 12 months among adults | 18.2% | 15.3–21.1 |
| Lack of reliable transportation in the past 12 months among adults | 11.8% | 10.1–13.7 |
| Loneliness among adults | 36.1% | 32.0–40.3 |
| Utility services shut-off threat in the past 12 months among adults | 16.8% | 14.4–19.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 3.8% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 23.5% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 29.3% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 3.3% | 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 | 1.5% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 93.2% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 3.0% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 96.2% | 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 | 84.9% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 22.0% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 46.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $105,150 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $51,500 | $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 | 79.7 yr ± 1.68 | 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 1.68 years of 79.7, 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