ZIP code
25920
in Slab Fork, West VirginiaPopulation 330
30.60/ 100
Ranked #30,639 of 32,066 US ZIPs (bottom 4.5%)
Ranked #498 of 697 West Virginia ZIPs (bottom 29%)
Ranked #47 of 75 Beckley, WV 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.
Unemployment rate
73.7%
in the top 0.10% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Tooth loss
32%
in the top 2.2% nationally
Lower is healthier
ST87thUS98thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Poverty rate
67%
in the top 0.8% nationally
Lower is healthier
ST96thUS99thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Tree cover
90.1%
in the top 1.3% nationally
Higher is healthier
ST78thUS99thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Housing-cost burden
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Cognitive disability
22.4%
in the top 3.3% nationally
Lower is healthier
ST82ndUS97thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Homeownership rate
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Home broadband subscription
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Transportation noise
18%
in the top 3.0% nationally
Lower is healthier
ST99thUS97thDefinition & 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 ›Short sleep
43.9%
in the top 4.7% nationally
Lower is healthier
ST69thUS95thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›The read
Slab Fork, West Virginia (ZIP 25920), on the composite measure, lands in the bottom 4.5% nationally (30,639th) and the bottom 29% of West Virginia (498th).
Where this area is stretched, the data is unambiguous: unemployment sits in the top 0.10% nationally, modeled tooth loss registers in the top 2.2% nationally, and poverty lands in the top 0.8% nationally. Modeled cognitive disability resides in the top 3.3% nationally, transportation noise lies in the top 3.0% nationally, and short sleep settles in the top 4.7% nationally. Better still, modeled tree cover stands in the top 1.3% nationally, and housing-cost burden is at the national minimum. Homeownership rests at the national maximum, and home broadband subscription sits at the national maximum.
Set against the neighboring ZIPs, unemployment runs far higher than the surrounding ZIPs on this measure. In everyday language, transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. A healthier neighbor overall sits at ZIP 25811, 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
Climate / Disaster Risk
healthier than 81%
5%
About typical
Preventive Care
healthier than 52%
13%
Healthcare Access
healthier than 44%
5%
Holding it back
Chronic Disease Burden
healthier than 4%
21%
Social Need / SDOH
healthier than 10%
16%
Environmental Hazard
healthier than 30%
14%
Risk Behavior
healthier than 4%
11%
Mental Health
in the bottom 0.6%
8%
Disability
healthier than 10%
7%
Lifting this score
Climate / Disaster Risk
healthier than 81%
5%
About typical
Chronic Disease Burden
healthier than 43%
21%
Preventive Care
healthier than 50%
13%
Holding it back
Social Need / SDOH
healthier than 25%
16%
Environmental Hazard
healthier than 22%
14%
Risk Behavior
healthier than 39%
11%
Mental Health
healthier than 12%
8%
Disability
healthier than 40%
7%
Healthcare Access
healthier than 36%
5%
Lifting this score
Risk Behavior
healthier than 63%
11%
Climate / Disaster Risk
healthier than 60%
5%
About typical
Chronic Disease Burden
healthier than 53%
21%
Social Need / SDOH
healthier than 44%
16%
Preventive Care
healthier than 52%
13%
Disability
healthier than 52%
7%
Holding it back
Environmental Hazard
healthier than 8%
14%
Mental Health
healthier than 21%
8%
Healthcare Access
healthier than 33%
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
25811
West Virginiashares a border
Score 34.06
Closest healthier
25848
West Virginiashares a border
Score 36.15
Similar health profile
25649
West Virginia99% similar profile
Score 31.60
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 | 39.4% | 36.0–43.0 |
| High blood pressure among adults | 46.0% | 42.1–49.9 |
| Cancer (non-skin) or melanoma among adults | 9.3% | 8.2–10.4 |
| Current asthma among adults | 13.3% | 11.8–15.2 |
| Coronary heart disease among adults | 9.7% | 8.4–11.3 |
| Chronic obstructive pulmonary disease among adults | 13.3% | 11.2–16.1 |
| Depression among adults | 33.1% | 29.1–37.5 |
| Diagnosed diabetes among adults | 17.8% | 15.4–20.5 |
| High cholesterol among adults who have ever been screened | 44.4% | 40.4–48.6 |
| Obesity among adults | 42.9% | 36.8–49.3 |
| Stroke among adults | 4.7% | 4.0–5.5 |
| All teeth lost among adults aged >=65 years | 32.0% | 26.7–36.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.4% | 7.0–12.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.8% | 77.2–82.3 |
| Visits to doctor for routine checkup within the past year among adults | 81.4% | 78.1–84.4 |
| Cholesterol screening among adults | 85.2% | 82.5–87.8 |
| Colorectal cancer screening among adults aged 45–75 years | 67.9% | 62.7–72.0 |
| Visited dentist or dental clinic in the past year among adults | 47.2% | 43.3–50.6 |
| Mammography use among women aged 50-74 years | 78.4% | 71.0–83.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.0% | 10.7–15.7 |
| Current cigarette smoking among adults | 22.7% | 18.7–27.0 |
| No leisure-time physical activity among adults | 37.2% | 31.6–43.2 |
| Short sleep duration among adults | 43.9% | 38.3–48.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 30.6% | 26.2–35.7 |
| Frequent mental distress among adults | 24.4% | 21.5–27.4 |
| Frequent physical distress among adults | 20.5% | 17.8–23.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 22.4% | 19.1–25.9 |
| Any disability among adults | 44.2% | 38.9–50.0 |
| Hearing disability among adults | 9.5% | 8.2–11.0 |
| Independent living disability among adults | 12.8% | 10.9–15.2 |
| Mobility disability among adults | 21.3% | 18.1–25.2 |
| Self-care disability among adults | 5.5% | 4.6–6.6 |
| Vision disability among adults | 6.8% | 5.8–8.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.5% | 21.4–29.6 |
| Food insecurity in the past 12 months among adults | 20.7% | 16.3–25.5 |
| Received food stamps in the past 12 months among adults | 23.5% | 18.7–28.5 |
| Housing insecurity in the past 12 months among adults | 14.7% | 12.0–17.6 |
| Lack of reliable transportation in the past 12 months among adults | 11.1% | 9.1–13.1 |
| Loneliness among adults | 38.3% | 33.4–43.2 |
| Utility services shut-off threat in the past 12 months among adults | 13.1% | 11.0–15.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 67.0% | 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+) | 24.2% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 10.4% | 23.3% (9.2–53.6%) n=32,505 | 14.1% (0.0–32.5%) n=695 |
| Unemployment rate (16+) | 73.7% | 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 | 100.0% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 0.0% | 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 | 0.0% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 17.0% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 33.9 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 | — | $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 | 77.3 yr ± 1.91 | 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 1.91 years of 77.3, 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