ZIP code
25085
in Gauley Bridge, West VirginiaPopulation 557
31.87/ 100
Ranked #30,342 of 32,066 US ZIPs (bottom 5.4%)
Ranked #453 of 697 West Virginia ZIPs (bottom 35%)
Ranked #39 of 75 Beckley, WV ZIPs (bottom 48%)
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.
Grocery access
1.5 per 1,000 residents
in the top 0.2% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of full supermarkets inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Pharmacy access
1.5 per 1,000 residents
in the top 0.3% nationally
Higher is healthier
ST98thUS99thDefinition & source ›
The number of pharmacies located inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Short sleep
47%
in the top 1.4% nationally
Lower is healthier
ST93rdUS99thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Tree cover
89.9%
in the top 1.4% nationally
Higher is healthier
ST77thUS99thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Households without a vehicle
23.6%
in the top 3.5% nationally
Lower is healthier
ST95thUS97thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Cognitive disability
21.4%
in the top 5.1% nationally
Lower is healthier
ST72ndUS95thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Tooth loss
25.2%
in the top 7.0% nationally
Lower is healthier
ST60thUS93rdDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Transportation noise
12.2%
in the top 6.2% nationally
Lower is healthier
ST95thUS94thDefinition & 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 ›Median household income
$30,945
in the bottom 2.1% nationally
Higher is healthier
ST8thUS2ndDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Unemployment rate
10.3%
in the top 9.0% nationally
Lower is healthier
ST80thUS91stDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›The read
By the composite measure, Gauley Bridge, West Virginia (ZIP 25085) sits in the bottom 5.4% nationally (30,342nd) and the bottom 35% of West Virginia (453rd).
The main burdens in the data show plainly and lead the picture: modeled short sleep resides in the top 1.4% nationally, households without a vehicle lies in the top 3.5% nationally, and modeled cognitive disability settles in the top 5.1% nationally. Modeled tooth loss stands in the top 7.0% nationally, modeled transportation noise is in the top 6.2% nationally, and household income rests in the bottom 2.1% nationally. Unemployment sits in the top 9.0% nationally. More positively, grocery registers in the top 0.2% nationally, and pharmacy lands in the top 0.3% nationally. Modeled tree cover resides in the top 1.4% nationally.
Compared with the ZIPs that surround it, grocery runs far higher than the surrounding ZIPs on this measure. 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 25036, just across the boundary, ranks 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 Beckley, WV metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Climate / Disaster Risk
healthier than 69%
5%
Healthcare Access
healthier than 63%
5%
Holding it back
Chronic Disease Burden
healthier than 14%
21%
Social Need / SDOH
healthier than 6%
16%
Environmental Hazard
healthier than 13%
14%
Preventive Care
healthier than 37%
13%
Risk Behavior
healthier than 2%
11%
Mental Health
in the bottom 0.5%
8%
Disability
healthier than 19%
7%
Lifting this score
Chronic Disease Burden
healthier than 83%
21%
Disability
healthier than 64%
7%
Healthcare Access
healthier than 69%
5%
About typical
Climate / Disaster Risk
healthier than 49%
5%
Holding it back
Social Need / SDOH
healthier than 14%
16%
Environmental Hazard
healthier than 7%
14%
Preventive Care
healthier than 29%
13%
Risk Behavior
healthier than 23%
11%
Mental Health
healthier than 8%
8%
Lifting this score
Chronic Disease Burden
healthier than 89%
21%
Disability
healthier than 78%
7%
Healthcare Access
healthier than 67%
5%
Holding it back
Social Need / SDOH
healthier than 25%
16%
Environmental Hazard
healthier than 3%
14%
Preventive Care
healthier than 37%
13%
Risk Behavior
healthier than 38%
11%
Mental Health
healthier than 14%
8%
Climate / Disaster Risk
healthier than 26%
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
25036
West Virginiashares a border
Score 32.58
Closest healthier
25040
West Virginiashares a border
Score 32.94
Similar health profile
25567
West Virginia99% similar profile
Score 32.51
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 | 36.0% | 32.8–39.3 |
| High blood pressure among adults | 40.4% | 36.5–44.2 |
| Cancer (non-skin) or melanoma among adults | 8.5% | 7.7–9.4 |
| Current asthma among adults | 13.4% | 11.8–15.0 |
| Coronary heart disease among adults | 7.8% | 7.0–8.8 |
| Chronic obstructive pulmonary disease among adults | 11.4% | 10.0–13.1 |
| Depression among adults | 34.1% | 29.9–38.4 |
| Diagnosed diabetes among adults | 15.3% | 13.4–17.4 |
| High cholesterol among adults who have ever been screened | 42.1% | 38.0–46.2 |
| Obesity among adults | 40.0% | 33.6–46.7 |
| Stroke among adults | 4.0% | 3.6–4.4 |
| All teeth lost among adults aged >=65 years | 25.2% | 21.0–29.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.4% | 7.4–11.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.8% | 74.2–79.2 |
| Visits to doctor for routine checkup within the past year among adults | 78.1% | 74.5–81.4 |
| Cholesterol screening among adults | 84.1% | 81.5–86.3 |
| Colorectal cancer screening among adults aged 45–75 years | 67.5% | 62.9–71.7 |
| Visited dentist or dental clinic in the past year among adults | 51.2% | 47.4–54.7 |
| Mammography use among women aged 50-74 years | 77.0% | 70.2–82.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.5% | 11.9–17.3 |
| Current cigarette smoking among adults | 22.5% | 19.2–25.8 |
| No leisure-time physical activity among adults | 34.3% | 29.4–39.4 |
| Short sleep duration among adults | 47.0% | 41.3–52.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 28.0% | 24.4–31.7 |
| Frequent mental distress among adults | 24.4% | 21.7–27.1 |
| Frequent physical distress among adults | 18.4% | 16.2–20.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 21.4% | 18.6–24.1 |
| Any disability among adults | 42.1% | 37.3–46.9 |
| Hearing disability among adults | 8.3% | 7.4–9.4 |
| Independent living disability among adults | 12.1% | 10.6–13.7 |
| Mobility disability among adults | 18.9% | 16.5–21.5 |
| Self-care disability among adults | 4.8% | 4.2–5.4 |
| Vision disability among adults | 6.1% | 5.4–6.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.9% | 21.0–29.2 |
| Food insecurity in the past 12 months among adults | 18.8% | 15.5–22.7 |
| Received food stamps in the past 12 months among adults | 21.5% | 17.9–25.6 |
| Housing insecurity in the past 12 months among adults | 14.5% | 12.1–17.1 |
| Lack of reliable transportation in the past 12 months among adults | 10.5% | 9.0–12.2 |
| Loneliness among adults | 37.9% | 32.8–43.5 |
| Utility services shut-off threat in the past 12 months among adults | 12.6% | 10.7–14.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 23.3% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 13.4% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 15.7% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 16.3% | 23.3% (9.2–53.6%) n=32,505 | 14.1% (0.0–32.5%) n=695 |
| Unemployment rate (16+) | 10.3% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–17.9%) n=668 |
| Households without a vehicle | 23.6% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 83.0% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 17.5% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 79.0% | 78.7% (51.7–94.0%) n=32,322 | 84.0% (61.6–100.0%) n=694 |
| Crowded housing (>1 per room) | 3.5% | 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 | 73.6% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 27.1% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 59.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $30,945 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $91,200 | $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 | 80.8 yr ± 1.23 | 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 1.23 years of 80.8, 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