ZIP code
25836
in Eccles, West VirginiaPopulation 1,333
37.92/ 100
Ranked #28,057 of 32,066 US ZIPs (bottom 12.6%)
Ranked #225 of 697 West Virginia ZIPs (top 32%)
Ranked #13 of 75 Beckley, WV ZIPs (top 17%)
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.
Home broadband subscription
37.1%
in the bottom 0.8% nationally
Higher is healthier
ST3rdUS1stDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Tree cover
77.4%
in the top 6.0% nationally
Higher is healthier
ST37thUS94thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Cognitive disability
20.4%
in the top 7.8% nationally
Lower is healthier
ST59thUS92ndDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Short sleep
42.3%
in the top 8.3% nationally
Lower is healthier
ST47thUS92ndDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›High cholesterol
43.3%
in the top 9.4% nationally
Lower is healthier
ST25thUS91stDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Air-toxics cancer risk
20 per million
in the bottom 25% nationally
Lower is healthier
ST1stUS25thDefinition & source ›
The EPA’s modeled estimate of added lifetime cancer risk from breathing outdoor air toxics, in cases per million people exposed over a lifetime.
Full methodology ›The read
Eccles, West Virginia (ZIP 25836), on the composite measure, lands in the bottom 12.6% nationally (28,057th) and the top 32% of West Virginia (225th).
Where the data leans one way, another reading answers it: modeled tree cover registers in the top 6.0% nationally. Unemployment lands at the national minimum, shared with about 15% of ZIPs. Households without a vehicle resides at the national minimum, shared with about 16% of ZIPs. Modeled extreme heat lies at the national minimum, shared with about 19% of ZIPs. On the other hand, home broadband subscription settles in the bottom 0.8% nationally, and modeled cognitive disability stands in the top 7.8% nationally. Modeled short sleep is in the top 8.3% nationally, and high cholesterol rests in the top 9.4% nationally. Modeled fair or poor health sits in the top 13.2% nationally, and loneliness registers in the top 13.7% nationally.
Set against the neighboring ZIPs, park land runs far higher than the surrounding ZIPs on this measure. In everyday language, extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. A healthier neighbor overall sits at ZIP 25827, 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
Environmental Hazard
healthier than 80%
14%
Climate / Disaster Risk
healthier than 87%
5%
Healthcare Access
healthier than 66%
5%
About typical
Preventive Care
healthier than 43%
13%
Holding it back
Chronic Disease Burden
healthier than 13%
21%
Social Need / SDOH
healthier than 19%
16%
Risk Behavior
healthier than 8%
11%
Mental Health
healthier than 2%
8%
Disability
healthier than 20%
7%
Lifting this score
Chronic Disease Burden
healthier than 82%
21%
Environmental Hazard
healthier than 68%
14%
Disability
healthier than 67%
7%
Climate / Disaster Risk
healthier than 93%
5%
Healthcare Access
healthier than 74%
5%
About typical
Social Need / SDOH
healthier than 44%
16%
Risk Behavior
healthier than 57%
11%
Holding it back
Preventive Care
healthier than 37%
13%
Mental Health
healthier than 33%
8%
Lifting this score
Chronic Disease Burden
healthier than 86%
21%
Social Need / SDOH
healthier than 81%
16%
Risk Behavior
healthier than 85%
11%
Disability
healthier than 81%
7%
Climate / Disaster Risk
healthier than 85%
5%
Healthcare Access
healthier than 75%
5%
About typical
Environmental Hazard
healthier than 59%
14%
Preventive Care
healthier than 41%
13%
Mental Health
healthier than 53%
8%
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 ›
Findings that name this ZIP
One of our published findings lists this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.
Clean environment, heavy chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 80.0; chronic-disease standing 13.0 — 67 points apart, cleaner on the environment than it is on chronic illness.
Ranked #1,259 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
25801
West Virginiashares a border
Score 34.64
Closest healthier
25827
West Virginiashares a border
Score 40.75
Similar health profile
24918
West Virginia100% similar profile
Score 39.00
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 | 37.2% | 33.7–40.4 |
| High blood pressure among adults | 44.5% | 40.5–48.2 |
| Cancer (non-skin) or melanoma among adults | 9.1% | 8.2–10.2 |
| Current asthma among adults | 12.4% | 10.9–14.0 |
| Coronary heart disease among adults | 8.7% | 7.6–9.9 |
| Chronic obstructive pulmonary disease among adults | 11.4% | 9.6–13.3 |
| Depression among adults | 31.5% | 27.5–35.4 |
| Diagnosed diabetes among adults | 15.9% | 13.8–18.1 |
| High cholesterol among adults who have ever been screened | 43.3% | 39.2–47.4 |
| Obesity among adults | 42.0% | 35.8–48.1 |
| Stroke among adults | 4.1% | 3.6–4.7 |
| All teeth lost among adults aged >=65 years | 17.1% | 14.0–19.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.3% | 7.0–11.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.5% | 75.7–80.9 |
| Visits to doctor for routine checkup within the past year among adults | 80.6% | 77.3–83.7 |
| Cholesterol screening among adults | 85.6% | 83.2–87.7 |
| Colorectal cancer screening among adults aged 45–75 years | 61.3% | 56.2–65.3 |
| Visited dentist or dental clinic in the past year among adults | 53.5% | 49.6–56.8 |
| Mammography use among women aged 50-74 years | 77.8% | 70.5–83.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.4% | 11.8–17.3 |
| Current cigarette smoking among adults | 20.7% | 17.3–24.2 |
| No leisure-time physical activity among adults | 34.4% | 29.4–39.4 |
| Short sleep duration among adults | 42.3% | 36.5–47.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 27.9% | 24.0–31.9 |
| Frequent mental distress among adults | 22.6% | 19.9–25.3 |
| Frequent physical distress among adults | 18.7% | 16.3–21.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 20.4% | 17.6–23.3 |
| Any disability among adults | 41.0% | 36.2–45.9 |
| Hearing disability among adults | 8.9% | 7.8–10.2 |
| Independent living disability among adults | 11.5% | 9.8–13.2 |
| Mobility disability among adults | 19.0% | 16.3–21.7 |
| Self-care disability among adults | 4.8% | 4.1–5.6 |
| Vision disability among adults | 6.0% | 5.2–6.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.4% | 20.6–28.0 |
| Food insecurity in the past 12 months among adults | 17.9% | 14.5–21.2 |
| Received food stamps in the past 12 months among adults | 19.7% | 15.7–23.2 |
| Housing insecurity in the past 12 months among adults | 13.2% | 10.9–15.5 |
| Lack of reliable transportation in the past 12 months among adults | 9.7% | 8.2–11.2 |
| Loneliness among adults | 36.7% | 32.0–41.6 |
| Utility services shut-off threat in the past 12 months among adults | 11.8% | 9.9–13.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 21.9% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 5.3% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 11.9% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 20.8% | 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 | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 37.1% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 14.1% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 91.0% | 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 | 34.4% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 20.1% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 41.2 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 | $168,400 | $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 | 77.8 yr ± 2.03 | 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 2.03 years of 77.8, 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