ZIP code
25259
in Looneyville, West VirginiaPopulation 880
32.23/ 100
Ranked #30,254 of 32,066 US ZIPs (bottom 5.7%)
Ranked #440 of 697 West Virginia ZIPs (bottom 37%)
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
88%
in the top 1.9% nationally
Higher is healthier
ST69thUS98thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Short sleep
44.3%
in the top 4.0% nationally
Lower is healthier
ST75thUS96thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Cognitive disability
20.7%
in the top 6.9% nationally
Lower is healthier
ST63rdUS93rdDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Poverty rate
29.8%
in the top 7.0% nationally
Lower is healthier
ST82ndUS93rdDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Home broadband subscription
71.8%
in the bottom 7.2% nationally
Higher is healthier
ST19thUS7thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Tooth loss
24%
in the top 8.8% nationally
Lower is healthier
ST52ndUS91stDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Fair or poor health
29.5%
in the top 9.3% nationally
Lower is healthier
ST57thUS91stDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Households without a vehicle
14.1%
in the top 8.2% nationally
Lower is healthier
ST85thUS92ndDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Transportation noise
0.13%
in the bottom 9.0% nationally
Lower is healthier
ST15thUS9thDefinition & 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 ›Housing-cost burden
9.7%
in the bottom 9.1% nationally
Lower is healthier
ST29thUS9thDefinition & source ›
The share of households spending 30% or more of their income on housing.
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
- Households with no vehicle
- 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 the composite measure, Looneyville, West Virginia (ZIP 25259) sits in the bottom 5.7% nationally (30,254th) and the bottom 37% of West Virginia (440th).
What the data shows most clearly about this place comes first: modeled short sleep settles in the top 4.0% nationally, modeled cognitive disability stands in the top 6.9% nationally, and poverty is in the top 7.0% nationally. Home broadband subscription rests in the bottom 7.2% nationally, modeled tooth loss sits in the top 8.8% nationally, and modeled fair or poor health registers in the top 9.3% nationally. Households without a vehicle lands in the top 8.2% nationally. More positively, modeled tree cover resides in the top 1.9% nationally. Unemployment lies at the national minimum, shared with about 15% of ZIPs. Modeled transportation noise settles in the bottom 9.0% nationally.
In plain language, transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. ZIP 25005, just across the boundary, ranks healthier overall. This ZIP 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 Hazard
healthier than 64%
14%
Climate / Disaster Risk
healthier than 72%
5%
Holding it back
Chronic Disease Burden
healthier than 6%
21%
Social Need / SDOH
healthier than 13%
16%
Preventive Care
healthier than 25%
13%
Risk Behavior
healthier than 3%
11%
Mental Health
healthier than 2%
8%
Disability
healthier than 13%
7%
Healthcare Access
healthier than 33%
5%
Nothing measured is lifting this score.
About typical
Chronic Disease Burden
healthier than 57%
21%
Environmental Hazard
healthier than 52%
14%
Disability
healthier than 51%
7%
Climate / Disaster Risk
healthier than 60%
5%
Holding it back
Social Need / SDOH
healthier than 32%
16%
Preventive Care
healthier than 14%
13%
Risk Behavior
healthier than 31%
11%
Mental Health
healthier than 32%
8%
Healthcare Access
healthier than 17%
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
25005
West Virginiashares a border
Score 32.59
Closest healthier
25251
West Virginiashares a border
Score 34.20
Similar health profile
26208
West Virginia100% similar profile
Score 29.57
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% | 36.1–44.3 |
| High blood pressure among adults | 46.2% | 41.5–50.7 |
| Cancer (non-skin) or melanoma among adults | 9.0% | 8.1–10.1 |
| Current asthma among adults | 12.8% | 11.3–14.6 |
| Coronary heart disease among adults | 9.6% | 8.4–10.9 |
| Chronic obstructive pulmonary disease among adults | 12.7% | 10.6–15.1 |
| Depression among adults | 32.1% | 27.7–36.6 |
| Diagnosed diabetes among adults | 17.7% | 15.2–20.2 |
| High cholesterol among adults who have ever been screened | 43.9% | 39.2–48.7 |
| Obesity among adults | 41.5% | 33.5–49.6 |
| Stroke among adults | 4.6% | 4.0–5.3 |
| All teeth lost among adults aged >=65 years | 24.0% | 19.5–29.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.6% | 7.2–12.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.6% | 76.6–82.4 |
| Visits to doctor for routine checkup within the past year among adults | 79.8% | 76.0–83.2 |
| Cholesterol screening among adults | 86.3% | 84.0–88.6 |
| Colorectal cancer screening among adults aged 45–75 years | 60.7% | 54.7–66.4 |
| Visited dentist or dental clinic in the past year among adults | 47.3% | 42.7–51.9 |
| Mammography use among women aged 50-74 years | 70.1% | 60.3–79.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.3% | 10.7–16.1 |
| Current cigarette smoking among adults | 24.2% | 19.9–28.8 |
| No leisure-time physical activity among adults | 36.7% | 30.6–42.9 |
| Short sleep duration among adults | 44.3% | 36.7–52.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 29.5% | 25.0–34.5 |
| Frequent mental distress among adults | 22.3% | 19.4–25.1 |
| Frequent physical distress among adults | 19.4% | 16.7–22.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 20.7% | 17.6–24.2 |
| Any disability among adults | 41.6% | 35.9–47.4 |
| Hearing disability among adults | 9.4% | 8.2–10.7 |
| Independent living disability among adults | 12.1% | 10.2–14.2 |
| Mobility disability among adults | 20.8% | 17.6–24.4 |
| Self-care disability among adults | 5.5% | 4.6–6.5 |
| Vision disability among adults | 6.6% | 5.6–7.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.7% | 20.0–28.1 |
| Food insecurity in the past 12 months among adults | 19.4% | 15.4–23.8 |
| Received food stamps in the past 12 months among adults | 22.5% | 17.9–27.3 |
| Housing insecurity in the past 12 months among adults | 14.3% | 11.7–17.4 |
| Lack of reliable transportation in the past 12 months among adults | 10.2% | 8.5–12.1 |
| Loneliness among adults | 32.8% | 27.7–38.4 |
| Utility services shut-off threat in the past 12 months among adults | 12.7% | 10.7–15.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 29.8% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 1.9% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 13.2% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 17.0% | 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 | 14.1% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 71.8% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 9.7% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 77.2% | 78.7% (51.7–94.0%) n=32,322 | 84.0% (61.6–100.0%) n=694 |
| Crowded housing (>1 per room) | 4.7% | 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 | 29.5% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 11.9% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 29.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $35,417 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $185,900 | $222,200 ($100,300–$579,820) n=30,049 | $125,600 ($66,920–$223,500) n=553 |
| Median gross rent | $586 | $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 | 72.9 yr ± 1.21 | 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 1.21 years of 72.9, 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