ZIP code
25862
in Lansing, West VirginiaPopulation 216
41.04/ 100
Ranked #26,000 of 32,066 US ZIPs (bottom 19%)
Ranked #137 of 697 West Virginia ZIPs (top 20%)
Ranked #8 of 75 Beckley, WV ZIPs (top 10.7%)
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.
High cholesterol
47.5%
in the top 1.1% nationally
Lower is healthier
ST89thUS99thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Short sleep
44.7%
in the top 3.5% nationally
Lower is healthier
ST79thUS97thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Floodplain exposure
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & 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 ›Expected annual disaster loss
$0
in the bottom 6.0% nationally
Lower is healthier
ST7thUS6thDefinition & 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 ›Housing-cost burden
8.1%
in the bottom 7.3% nationally
Lower is healthier
ST25thUS7thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Natural-disaster risk
in the bottom 7.6% 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 ›Tree cover
73.2%
in the top 7.7% nationally
Higher is healthier
ST31stUS92ndDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›High blood pressure
46.3%
in the top 9.2% nationally
Lower is healthier
ST40thUS91stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Mammography
79%
in the top 18% nationally
Higher is healthier
ST94thUS82ndDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Median household income
$107,763
in the top 14.6% nationally
Higher is healthier
ST98thUS85thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›The read
Lansing, West Virginia (ZIP 25862), by its overall standing, sits in the bottom 19% nationally (26,000th) and the top 20% of West Virginia (137th).
The profile opens balanced, with readings on either hand: floodplain exposure lies at the national minimum, modeled expected annual loss sits in the bottom 6.0% nationally, and housing-cost burden settles in the bottom 7.3% nationally. Unemployment registers at the national minimum, shared with about 15% of ZIPs. Modeled disaster risk stands in the bottom 7.6% nationally, and tree cover lands in the top 7.7% nationally. Households without a vehicle is at the national minimum, shared with about 16% of ZIPs. By contrast, modeled high cholesterol resides in the top 1.1% nationally, and short sleep rests in the top 3.5% nationally. Fiber broadband lies at the national minimum, shared with about 19% of ZIPs.
Defined in plain terms, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". The nearest ZIP ranking healthier 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 85%
14%
Preventive Care
healthier than 77%
13%
Climate / Disaster Risk
healthier than 87%
5%
Healthcare Access
healthier than 60%
5%
Holding it back
Chronic Disease Burden
healthier than 7%
21%
Social Need / SDOH
healthier than 40%
16%
Risk Behavior
healthier than 10%
11%
Mental Health
healthier than 6%
8%
Disability
healthier than 25%
7%
Lifting this score
Chronic Disease Burden
healthier than 62%
21%
Social Need / SDOH
healthier than 72%
16%
Environmental Hazard
healthier than 76%
14%
Preventive Care
healthier than 90%
13%
Risk Behavior
healthier than 66%
11%
Mental Health
healthier than 85%
8%
Disability
healthier than 78%
7%
Climate / Disaster Risk
healthier than 92%
5%
Healthcare Access
healthier than 63%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 73%
21%
Social Need / SDOH
healthier than 93%
16%
Environmental Hazard
healthier than 70%
14%
Preventive Care
healthier than 90%
13%
Risk Behavior
healthier than 89%
11%
Mental Health
healthier than 90%
8%
Disability
healthier than 88%
7%
Climate / Disaster Risk
healthier than 84%
5%
Healthcare Access
healthier than 60%
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
25837
West Virginiashares a border
Score 48.87
Closest healthier
25868
West Virginiashares a border
Score 48.06
Similar health profile
25832
West Virginia99% similar profile
Score 42.22
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 | 41.9% | 38.1–45.7 |
| High blood pressure among adults | 46.3% | 41.9–50.5 |
| Cancer (non-skin) or melanoma among adults | 11.3% | 10.1–12.4 |
| Current asthma among adults | 12.1% | 10.7–13.7 |
| Coronary heart disease among adults | 9.3% | 8.1–10.6 |
| Chronic obstructive pulmonary disease among adults | 11.4% | 9.6–13.4 |
| Depression among adults | 29.8% | 25.9–33.7 |
| Diagnosed diabetes among adults | 17.2% | 14.8–19.7 |
| High cholesterol among adults who have ever been screened | 47.5% | 43.1–52.0 |
| Obesity among adults | 38.7% | 32.3–45.3 |
| Stroke among adults | 4.4% | 3.8–5.0 |
| All teeth lost among adults aged >=65 years | 18.3% | 15.1–21.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.6% | 5.7–9.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.9% | 79.0–84.4 |
| Visits to doctor for routine checkup within the past year among adults | 81.7% | 78.6–84.5 |
| Cholesterol screening among adults | 89.3% | 87.4–91.0 |
| Colorectal cancer screening among adults aged 45–75 years | 67.0% | 62.6–71.1 |
| Visited dentist or dental clinic in the past year among adults | 55.3% | 51.6–58.9 |
| Mammography use among women aged 50-74 years | 79.0% | 72.4–84.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.7% | 10.5–15.1 |
| Current cigarette smoking among adults | 20.5% | 16.7–24.5 |
| No leisure-time physical activity among adults | 32.8% | 27.3–38.5 |
| Short sleep duration among adults | 44.7% | 38.9–50.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 26.3% | 22.1–30.4 |
| Frequent mental distress among adults | 19.9% | 17.5–22.4 |
| Frequent physical distress among adults | 18.1% | 15.6–20.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.2% | 14.6–20.0 |
| Any disability among adults | 40.5% | 35.1–45.8 |
| Hearing disability among adults | 9.8% | 8.5–11.1 |
| Independent living disability among adults | 10.2% | 8.7–11.9 |
| Mobility disability among adults | 19.8% | 16.6–23.0 |
| Self-care disability among adults | 4.6% | 3.9–5.4 |
| Vision disability among adults | 5.5% | 4.7–6.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.1% | 19.6–27.2 |
| Food insecurity in the past 12 months among adults | 14.2% | 11.3–17.4 |
| Received food stamps in the past 12 months among adults | 16.1% | 12.8–19.7 |
| Housing insecurity in the past 12 months among adults | 11.0% | 9.0–13.1 |
| Lack of reliable transportation in the past 12 months among adults | 7.8% | 6.5–9.2 |
| Loneliness among adults | 33.7% | 28.9–38.9 |
| Utility services shut-off threat in the past 12 months among adults | 9.8% | 8.2–11.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 5.1% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 100.0% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 6.9% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 70.4% | 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 | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 86.0% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 8.1% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 91.9% | 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 | 100.0% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 94.9% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 74.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $107,763 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $228,600 | $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 | 76.0 yr ± 1.63 | 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 1.63 years of 76.0, 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