ZIP code
26039
in Glen Easton, West VirginiaPopulation 493
36.32/ 100
Ranked #28,839 of 32,066 US ZIPs (bottom 10.1%)
Ranked #272 of 697 West Virginia ZIPs (top 39%)
Ranked #30 of 34 Wheeling, WV-OH ZIPs (bottom 11.8%)
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.
Short sleep
44%
in the top 4.5% nationally
Lower is healthier
ST70thUS96thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
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 ›Air-toxics cancer risk
39.9 per million
in the top 6.6% nationally
Lower is healthier
ST97thUS93rdDefinition & 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 ›Poverty rate
27.6%
in the top 8.4% nationally
Lower is healthier
ST79thUS92ndDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Transportation noise
0.15%
in the bottom 9.5% nationally
Lower is healthier
ST16thUS9thDefinition & 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
39.7%
in the top 10.5% nationally
Lower is healthier
ST93rdUS90thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›High blood pressure
45.9%
in the top 10.0% nationally
Lower is healthier
ST35thUS90thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Fine-particle (PM2.5) exceedance
0.27%
in the top 23% nationally
Lower is healthier
ST99thUS77thDefinition & source ›
The share of days in the year when modeled fine-particle (PM2.5) pollution was above the EPA’s daily limit of 35 micrograms per cubic meter.
Full methodology ›Distance to a community health center
8 mi
in the top 26% nationally
Lower is healthier
ST99thUS74thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest federally funded community health center, which serves patients regardless of ability to pay.
Full methodology ›Loneliness
30.6%
in the bottom 29% nationally
Lower is healthier
ST2ndUS29thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›The read
In overall standing, Glen Easton, West Virginia (ZIP 26039) comes out in the bottom 10.1% nationally (28,839th) and the top 39% of West Virginia (272nd).
The measures fall on both sides of the ledger for this area: modeled tree cover registers in the top 6.0% nationally. Unemployment stands at the national minimum, shared with about 15% of ZIPs. Modeled transportation noise lands in the bottom 9.5% nationally. Modeled loud transportation noise is at the national minimum, shared with about 22% of ZIPs. Set against that, modeled short sleep resides in the top 4.5% nationally, and air-toxics cancer risk rests in the top 6.6% nationally. Poverty lies in the top 8.4% nationally. Fiber broadband sits at the national minimum, shared with about 19% of ZIPs. Housing-cost burden settles in the top 10.5% nationally, and modeled high blood pressure registers in the top 10.0% nationally.
In plain terms, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. Loud transportation noise is the modeled share of an area exposed to road, rail, and air noise at or above 65 decibels, near conversation volume. The nearest healthier ZIP overall is ZIP 26033, 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 Wheeling, WV-OH 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 76%
5%
About typical
Preventive Care
healthier than 60%
13%
Holding it back
Chronic Disease Burden
healthier than 10%
21%
Social Need / SDOH
healthier than 24%
16%
Environmental Hazard
healthier than 7%
14%
Risk Behavior
healthier than 5%
11%
Mental Health
healthier than 5%
8%
Disability
healthier than 21%
7%
Healthcare Access
healthier than 30%
5%
Lifting this score
Chronic Disease Burden
healthier than 75%
21%
Preventive Care
healthier than 63%
13%
Mental Health
healthier than 74%
8%
Disability
healthier than 68%
7%
Climate / Disaster Risk
healthier than 70%
5%
About typical
Social Need / SDOH
healthier than 52%
16%
Risk Behavior
healthier than 45%
11%
Holding it back
Environmental Hazard
healthier than 3%
14%
Healthcare Access
healthier than 12%
5%
Lifting this score
Climate / Disaster Risk
healthier than 76%
5%
About typical
Preventive Care
healthier than 52%
13%
Holding it back
Chronic Disease Burden
healthier than 24%
21%
Social Need / SDOH
healthier than 24%
16%
Environmental Hazard
healthier than 6%
14%
Risk Behavior
healthier than 18%
11%
Mental Health
healthier than 21%
8%
Disability
healthier than 15%
7%
Healthcare Access
healthier than 15%
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
26033
West Virginiashares a border
Score 38.58
Closest healthier
26041
West Virginiashares a border
Score 36.62
Similar health profile
25040
West Virginia98% similar profile
Score 32.94
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% | 35.6–43.3 |
| High blood pressure among adults | 45.9% | 41.4–50.3 |
| Cancer (non-skin) or melanoma among adults | 10.2% | 9.1–11.2 |
| Current asthma among adults | 11.9% | 10.4–13.3 |
| Coronary heart disease among adults | 9.8% | 8.6–11.0 |
| Chronic obstructive pulmonary disease among adults | 11.3% | 9.6–13.1 |
| Depression among adults | 29.9% | 25.9–34.1 |
| Diagnosed diabetes among adults | 16.6% | 14.3–19.0 |
| High cholesterol among adults who have ever been screened | 42.7% | 38.1–47.3 |
| Obesity among adults | 38.0% | 30.8–45.6 |
| Stroke among adults | 4.5% | 3.9–5.0 |
| All teeth lost among adults aged >=65 years | 21.3% | 17.5–25.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.2% | 6.4–10.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.0% | 78.4–83.5 |
| Visits to doctor for routine checkup within the past year among adults | 81.0% | 77.6–84.0 |
| Cholesterol screening among adults | 86.8% | 84.8–88.7 |
| Colorectal cancer screening among adults aged 45–75 years | 66.3% | 61.2–71.2 |
| Visited dentist or dental clinic in the past year among adults | 55.1% | 51.1–59.0 |
| Mammography use among women aged 50-74 years | 76.1% | 68.0–82.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.6% | 12.0–17.6 |
| Current cigarette smoking among adults | 21.6% | 18.1–25.2 |
| No leisure-time physical activity among adults | 33.2% | 27.9–38.8 |
| Short sleep duration among adults | 44.0% | 36.9–51.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 25.9% | 22.2–29.9 |
| Frequent mental distress among adults | 20.9% | 18.3–23.4 |
| Frequent physical distress among adults | 18.1% | 15.7–20.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.7% | 16.3–21.4 |
| Any disability among adults | 40.2% | 35.2–45.4 |
| Hearing disability among adults | 10.0% | 8.7–11.3 |
| Independent living disability among adults | 10.9% | 9.4–12.4 |
| Mobility disability among adults | 19.2% | 16.3–22.2 |
| Self-care disability among adults | 4.8% | 4.1–5.6 |
| Vision disability among adults | 5.9% | 5.1–6.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.6% | 18.9–26.3 |
| Food insecurity in the past 12 months among adults | 15.3% | 12.5–18.2 |
| Received food stamps in the past 12 months among adults | 17.4% | 14.2–20.5 |
| Housing insecurity in the past 12 months among adults | 11.8% | 9.7–13.8 |
| Lack of reliable transportation in the past 12 months among adults | 8.6% | 7.3–9.9 |
| Loneliness among adults | 30.6% | 25.6–35.3 |
| Utility services shut-off threat in the past 12 months among adults | 10.9% | 9.2–12.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 27.6% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 3.9% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 14.7% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 27.6% | 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 | 7.6% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 78.8% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 39.7% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 71.7% | 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 | 61.7% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 44.4% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 61.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $57,800 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $191,700 | $222,200 ($100,300–$579,820) n=30,049 | $125,600 ($66,920–$223,500) n=553 |
| Median gross rent | $1,036 | $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 | 76.6 yr ± 0.91 | 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 0.91 years of 76.6, 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