ZIP code
25868
in Lookout, West VirginiaPopulation 610
48.06/ 100
Ranked #18,851 of 32,066 US ZIPs (bottom 41%)
Ranked #26 of 697 West Virginia ZIPs (top 3.8%)
Ranked #2 of 75 Beckley, WV ZIPs (top 2.7%)
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.
Dental provider access
2.5 per 1,000 residents
in the top 0.7% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of dental offices 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
45.3%
in the top 2.7% nationally
Lower is healthier
ST84thUS97thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
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 ›High cholesterol
46.5%
in the top 2.1% nationally
Lower is healthier
ST76thUS98thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Tree cover
82.7%
in the top 3.9% nationally
Higher is healthier
ST50thUS96thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Housing-cost burden
8.7%
in the bottom 8.0% nationally
Lower is healthier
ST27thUS8thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Mammography
81.4%
in the top 5.5% nationally
Higher is healthier
ST99thUS95thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Floodplain exposure
0.35%
in the bottom 9.0% nationally
Lower is healthier
ST6thUS9thDefinition & 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 ›Uninsured (under 65)
6.2%
in the bottom 17% nationally
Lower is healthier
ST2ndUS17thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Food insecurity
10.4%
in the bottom 24% nationally
Lower is healthier
ST1stUS24thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›The read
By the composite health measure, Lookout, West Virginia (ZIP 25868) ranks in the bottom 41% nationally (18,851st) and the top 3.8% of West Virginia (26th).
A number of measures mark where this area is under strain: modeled short sleep sits in the top 2.7% nationally, and high cholesterol is in the top 2.1% nationally. Fiber broadband settles at the national minimum, shared with about 19% of ZIPs. On the brighter side, dental providers resides in the top 0.7% nationally, homeownership registers at the national maximum, and modeled tree cover rests in the top 3.9% nationally. Unemployment stands at the national minimum, shared with about 15% of ZIPs. Housing-cost burden lies in the bottom 8.0% nationally, modeled mammography lands in the top 5.5% nationally, and floodplain exposure sits in the bottom 9.0% nationally.
To spell things out, floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". Close by, ZIP 25837, 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
Social Need / SDOH
healthier than 64%
16%
Environmental Hazard
healthier than 88%
14%
Preventive Care
healthier than 87%
13%
Climate / Disaster Risk
healthier than 89%
5%
Healthcare Access
healthier than 62%
5%
About typical
Disability
healthier than 56%
7%
Holding it back
Chronic Disease Burden
healthier than 20%
21%
Risk Behavior
healthier than 19%
11%
Mental Health
healthier than 9%
8%
Lifting this score
Chronic Disease Burden
healthier than 90%
21%
Social Need / SDOH
healthier than 91%
16%
Environmental Hazard
healthier than 80%
14%
Preventive Care
healthier than 97%
13%
Risk Behavior
healthier than 83%
11%
Mental Health
healthier than 94%
8%
Disability
healthier than 97%
7%
Climate / Disaster Risk
healthier than 96%
5%
Healthcare Access
healthier than 66%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 93%
21%
Social Need / SDOH
in the top 0.00%
16%
Environmental Hazard
healthier than 75%
14%
Preventive Care
healthier than 97%
13%
Risk Behavior
healthier than 95%
11%
Mental Health
healthier than 97%
8%
Disability
healthier than 99%
7%
Climate / Disaster Risk
healthier than 95%
5%
Healthcare Access
healthier than 66%
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
25831
West Virginiashares a border
Score 34.19
Closest healthier
25837
West Virginiashares a border
Score 48.87
Similar health profile
25444
West Virginia97% similar profile
Score 48.03
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 | 39.0% | 35.0–43.1 |
| High blood pressure among adults | 42.8% | 38.4–47.2 |
| Cancer (non-skin) or melanoma among adults | 10.9% | 9.7–12.1 |
| Current asthma among adults | 11.7% | 10.3–13.3 |
| Coronary heart disease among adults | 7.9% | 6.7–9.4 |
| Chronic obstructive pulmonary disease among adults | 9.1% | 7.1–11.4 |
| Depression among adults | 29.4% | 25.5–33.5 |
| Diagnosed diabetes among adults | 15.2% | 12.9–17.8 |
| High cholesterol among adults who have ever been screened | 46.5% | 42.1–50.8 |
| Obesity among adults | 37.1% | 30.8–43.7 |
| Stroke among adults | 3.6% | 3.0–4.3 |
| All teeth lost among adults aged >=65 years | 12.5% | 10.1–15.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.2% | 4.5–8.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.2% | 78.4–84.0 |
| Visits to doctor for routine checkup within the past year among adults | 81.6% | 78.4–84.5 |
| Cholesterol screening among adults | 90.3% | 88.4–92.1 |
| Colorectal cancer screening among adults aged 45–75 years | 70.1% | 65.4–74.3 |
| Visited dentist or dental clinic in the past year among adults | 55.2% | 51.3–58.8 |
| Mammography use among women aged 50-74 years | 81.4% | 75.1–86.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.0% | 11.6–16.8 |
| Current cigarette smoking among adults | 16.6% | 12.5–20.7 |
| No leisure-time physical activity among adults | 28.0% | 22.4–33.8 |
| Short sleep duration among adults | 45.3% | 39.6–51.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.7% | 17.3–26.4 |
| Frequent mental distress among adults | 18.8% | 16.2–21.5 |
| Frequent physical distress among adults | 15.7% | 13.2–18.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.9% | 12.3–17.7 |
| Any disability among adults | 35.1% | 29.6–40.9 |
| Hearing disability among adults | 8.1% | 6.8–9.4 |
| Independent living disability among adults | 8.1% | 6.6–9.9 |
| Mobility disability among adults | 15.9% | 12.8–19.5 |
| Self-care disability among adults | 3.5% | 2.7–4.4 |
| Vision disability among adults | 4.1% | 3.3–5.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.0% | 18.0–26.2 |
| Food insecurity in the past 12 months among adults | 10.4% | 7.7–13.6 |
| Received food stamps in the past 12 months among adults | 10.5% | 7.6–13.7 |
| Housing insecurity in the past 12 months among adults | 8.9% | 6.9–11.1 |
| Lack of reliable transportation in the past 12 months among adults | 6.1% | 4.8–7.4 |
| Loneliness among adults | 33.2% | 28.1–38.5 |
| Utility services shut-off threat in the past 12 months among adults | 7.4% | 5.9–9.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 3.3% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 20.7% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 16.8% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 11.2% | 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 | 2.3% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 93.6% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 8.7% | 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 | 24.0% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 8.9% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 36.6 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 | $123,900 | $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 | 74.9 yr ± 2.42 | 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 2.42 years of 74.9, 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