ZIP code
25126
in London, West VirginiaPopulation 76
28.93/ 100
Ranked #30,961 of 32,066 US ZIPs (bottom 3.5%)
Ranked #543 of 697 West Virginia ZIPs (bottom 22%)
Ranked #70 of 83 Charleston, WV 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.
Households without a vehicle
65.6%
in the top 0.7% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›High blood pressure
54.3%
in the top 1.0% nationally
Lower is healthier
ST96thUS99thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Housing-cost burden
65.6%
in the top 0.9% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Poverty rate
55.3%
in the top 1.2% nationally
Lower is healthier
ST95thUS99thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Coronary heart disease
12.1%
in the top 1.6% nationally
Lower is healthier
ST89thUS98thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Diabetes
20.5%
in the top 3.1% nationally
Lower is healthier
ST84thUS97thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Expected annual disaster loss
$0
in the bottom 1.9% nationally
Lower is healthier
ST1stUS2ndDefinition & 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 ›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 ›Transportation noise
22.3%
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 ›Mobility disability
24.9%
in the top 3.6% nationally
Lower is healthier
ST81stUS96thDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Cross-source signals
Combined exposures in this ZIP
More than one environmental exposure stands out in this ZIP. Each is established independently and shown on its own above; they are grouped here for context — not because one causes the other.
This area ranks among the highest 10% of US ZIP codes for both flood exposure and the share of households without a vehicle.
See the full flooding, evacuation & humid-heat analysis →
The read
Overall, London, West Virginia (ZIP 25126) lands in the bottom 3.5% nationally (30,961st) and the bottom 22% of West Virginia (543rd).
A number of measures mark where this area is under strain: households without a vehicle lands in the top 0.7% nationally, and modeled high blood pressure sits in the top 1.0% nationally. Housing-cost burden is in the top 0.9% nationally, and poverty settles in the top 1.2% nationally. Modeled coronary heart disease resides in the top 1.6% nationally, diabetes registers in the top 3.1% nationally, and high cholesterol rests in the top 1.1% nationally. Modeled transportation noise stands in the top 2.1% nationally, and mobility disability lies in the top 3.6% nationally. On the brighter side, modeled expected annual loss lands in the bottom 1.9% nationally.
Set beside the nearby areas, households without a vehicle runs far higher than the surrounding ZIPs on this measure. A note on the terms: 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. For a healthier nearby comparison, ZIP 25086, just across the boundary, ranks better 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
Preventive Care
healthier than 77%
13%
Healthcare Access
healthier than 84%
5%
Holding it back
Chronic Disease Burden
healthier than 1%
21%
Social Need / SDOH
healthier than 4%
16%
Environmental Hazard
healthier than 13%
14%
Risk Behavior
healthier than 5%
11%
Mental Health
healthier than 7%
8%
Disability
healthier than 7%
7%
Climate / Disaster Risk
healthier than 14%
5%
Lifting this score
Preventive Care
healthier than 91%
13%
Mental Health
healthier than 87%
8%
Healthcare Access
healthier than 92%
5%
About typical
Risk Behavior
healthier than 46%
11%
Holding it back
Chronic Disease Burden
healthier than 20%
21%
Social Need / SDOH
healthier than 9%
16%
Environmental Hazard
healthier than 7%
14%
Disability
healthier than 27%
7%
Climate / Disaster Risk
healthier than 1%
5%
Lifting this score
Preventive Care
healthier than 93%
13%
Risk Behavior
healthier than 61%
11%
Mental Health
healthier than 93%
8%
Healthcare Access
healthier than 85%
5%
Holding it back
Chronic Disease Burden
healthier than 15%
21%
Social Need / SDOH
healthier than 4%
16%
Environmental Hazard
healthier than 10%
14%
Disability
healthier than 21%
7%
Climate / Disaster Risk
healthier than 2%
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
25086
West Virginiashares a border
Score 32.28
Closest healthier
25102
West Virginiashares a border
Score 29.50
Similar health profile
64451
Missouri98% similar profile
Score 43.78
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 | 42.9% | 39.4–46.3 |
| High blood pressure among adults | 54.3% | 50.5–57.9 |
| Cancer (non-skin) or melanoma among adults | 10.7% | 9.4–12.0 |
| Current asthma among adults | 12.1% | 10.6–13.7 |
| Coronary heart disease among adults | 12.1% | 10.5–14.0 |
| Chronic obstructive pulmonary disease among adults | 12.9% | 10.5–15.6 |
| Depression among adults | 27.8% | 24.4–31.4 |
| Diagnosed diabetes among adults | 20.5% | 18.0–23.5 |
| High cholesterol among adults who have ever been screened | 47.5% | 43.6–51.2 |
| Obesity among adults | 42.9% | 37.5–48.0 |
| Stroke among adults | 5.9% | 5.1–6.8 |
| All teeth lost among adults aged >=65 years | 25.8% | 22.1–29.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.6% | 7.3–12.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 82.9% | 80.4–85.1 |
| Visits to doctor for routine checkup within the past year among adults | 83.2% | 80.2–85.7 |
| Cholesterol screening among adults | 88.7% | 86.4–90.6 |
| Colorectal cancer screening among adults aged 45–75 years | 72.8% | 69.0–76.5 |
| Visited dentist or dental clinic in the past year among adults | 54.4% | 51.0–57.7 |
| Mammography use among women aged 50-74 years | 75.0% | 69.1–80.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.2% | 10.0–14.5 |
| Current cigarette smoking among adults | 23.0% | 18.8–27.2 |
| No leisure-time physical activity among adults | 39.6% | 34.1–45.4 |
| Short sleep duration among adults | 42.0% | 38.0–46.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 30.5% | 25.9–35.6 |
| Frequent mental distress among adults | 21.1% | 18.7–23.8 |
| Frequent physical distress among adults | 19.7% | 16.9–22.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 20.2% | 17.3–23.4 |
| Any disability among adults | 46.8% | 41.6–52.1 |
| Hearing disability among adults | 11.4% | 10.0–13.1 |
| Independent living disability among adults | 13.0% | 11.1–15.1 |
| Mobility disability among adults | 24.9% | 21.2–28.9 |
| Self-care disability among adults | 6.0% | 5.0–7.2 |
| Vision disability among adults | 7.4% | 6.2–8.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 28.8% | 24.9–32.7 |
| Food insecurity in the past 12 months among adults | 21.8% | 18.0–26.0 |
| Received food stamps in the past 12 months among adults | 22.5% | 18.7–26.7 |
| Housing insecurity in the past 12 months among adults | 15.9% | 13.4–18.5 |
| Lack of reliable transportation in the past 12 months among adults | 10.2% | 8.7–11.9 |
| Loneliness among adults | 35.9% | 31.6–40.2 |
| Utility services shut-off threat in the past 12 months among adults | 13.6% | 11.7–15.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 55.3% | 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+) | 28.9% | 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 | 65.6% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 81.3% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 65.6% | 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 | 100.0% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 44.7% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 59.9 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 | $27,600 | $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 | 82.3 yr ± 2.74 | 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 2.74 years of 82.3, 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