ZIP code
26590
in Wana, West VirginiaPopulation 550
49.94/ 100
Ranked #16,325 of 32,066 US ZIPs (bottom 49%)
Ranked #14 of 697 West Virginia ZIPs (top 2.1%)
Ranked #2 of 22 Morgantown, WV ZIPs (top 9.1%)
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.
Poverty rate
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Mammography
83.2%
in the top 2.1% nationally
Higher is healthier
ST99thUS98thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Tree cover
80.8%
in the top 4.6% nationally
Higher is healthier
ST45thUS95thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Distance to a nursing home
11.3 mi
in the top 8.9% nationally
Lower is healthier
ST94thUS91stDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›High cholesterol
43.7%
in the top 7.8% nationally
Lower is healthier
ST29thUS92ndDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Energy-cost burden
2.0%
in the bottom 13.9% nationally
Lower is healthier
ST2ndUS14thDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›Uninsured (under 65)
6.4%
in the bottom 19% nationally
Lower is healthier
ST2ndUS19thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Median household income
$101,513
in the top 18% nationally
Higher is healthier
ST96thUS82ndDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›High blood pressure
42.1%
in the top 22% nationally
Lower is healthier
ST9thUS78thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Food insecurity
10.6%
in the bottom 26% nationally
Lower is healthier
ST2ndUS26thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›The read
Judged by its overall standing, Wana, West Virginia (ZIP 26590) sits in the bottom 49% nationally (16,325th) and the top 2.1% of West Virginia (14th).
A few readings each way define this mixed profile: poverty stands at the national minimum, modeled mammography resides in the top 2.1% nationally, and modeled tree cover sits in the top 4.6% nationally. Unemployment stands 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 sits at the national minimum, shared with about 19% of ZIPs. Homeownership stands in the top 10.6% nationally, and housing-cost burden resides in the bottom 10.7% nationally. Pulling the other way, distance to a nursing home sits in the top 8.9% nationally. Fiber broadband stands at the national minimum, shared with about 19% of ZIPs.
Put plainly, extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. A healthier nearby ZIP overall is ZIP 15341, about 0.3 miles away.
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 Morgantown, 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 84%
16%
Environmental Hazard
healthier than 63%
14%
Preventive Care
healthier than 89%
13%
Climate / Disaster Risk
healthier than 78%
5%
About typical
Risk Behavior
healthier than 43%
11%
Disability
healthier than 48%
7%
Holding it back
Chronic Disease Burden
healthier than 22%
21%
Mental Health
healthier than 17%
8%
Healthcare Access
healthier than 31%
5%
Lifting this score
Chronic Disease Burden
healthier than 91%
21%
Social Need / SDOH
in the top 0.6%
16%
Preventive Care
healthier than 98%
13%
Risk Behavior
healthier than 97%
11%
Mental Health
healthier than 99%
8%
Disability
healthier than 94%
7%
Climate / Disaster Risk
healthier than 73%
5%
About typical
Environmental Hazard
healthier than 51%
14%
Holding it back
Healthcare Access
healthier than 14%
5%
Lifting this score
Chronic Disease Burden
healthier than 65%
21%
Social Need / SDOH
healthier than 95%
16%
Environmental Hazard
healthier than 60%
14%
Preventive Care
in the top 0.00%
13%
Risk Behavior
healthier than 95%
11%
Mental Health
healthier than 95%
8%
Disability
healthier than 75%
7%
Holding it back
Climate / Disaster Risk
healthier than 35%
5%
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
15316
Pennsylvaniashares a border
Score 49.42
Closest healthier
15341
Pennsylvaniaabout 0.3 mi away
Score 50.14
Similar health profile
26845
West Virginia97% similar profile
Score 48.06
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 | 37.4% | 33.6–41.1 |
| High blood pressure among adults | 42.1% | 37.8–46.1 |
| Cancer (non-skin) or melanoma among adults | 11.0% | 9.8–12.4 |
| Current asthma among adults | 11.6% | 10.2–13.1 |
| Coronary heart disease among adults | 8.5% | 7.2–9.9 |
| Chronic obstructive pulmonary disease among adults | 9.2% | 7.4–11.3 |
| Depression among adults | 27.3% | 23.7–30.9 |
| Diagnosed diabetes among adults | 14.7% | 12.5–17.2 |
| High cholesterol among adults who have ever been screened | 43.7% | 39.5–47.8 |
| Obesity among adults | 33.2% | 27.8–38.8 |
| Stroke among adults | 3.9% | 3.3–4.5 |
| All teeth lost among adults aged >=65 years | 15.5% | 12.7–18.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.4% | 4.7–8.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 82.5% | 79.6–85.0 |
| Visits to doctor for routine checkup within the past year among adults | 81.8% | 78.6–84.7 |
| Cholesterol screening among adults | 90.5% | 88.7–92.2 |
| Colorectal cancer screening among adults aged 45–75 years | 65.2% | 60.5–69.9 |
| Visited dentist or dental clinic in the past year among adults | 60.3% | 56.7–63.8 |
| Mammography use among women aged 50-74 years | 83.2% | 77.1–88.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.7% | 12.2–17.4 |
| Current cigarette smoking among adults | 16.2% | 12.4–20.2 |
| No leisure-time physical activity among adults | 26.3% | 21.2–31.7 |
| Short sleep duration among adults | 38.9% | 33.7–44.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.8% | 16.9–25.2 |
| Frequent mental distress among adults | 18.3% | 15.7–20.9 |
| Frequent physical distress among adults | 15.7% | 13.2–18.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.0% | 12.4–18.1 |
| Any disability among adults | 32.7% | 27.5–38.1 |
| Hearing disability among adults | 8.9% | 7.6–10.3 |
| Independent living disability among adults | 8.8% | 7.2–10.6 |
| Mobility disability among adults | 16.5% | 13.3–19.9 |
| Self-care disability among adults | 3.7% | 3.0–4.5 |
| Vision disability among adults | 4.4% | 3.7–5.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.1% | 17.6–24.7 |
| Food insecurity in the past 12 months among adults | 10.6% | 7.9–13.6 |
| Received food stamps in the past 12 months among adults | 10.8% | 8.0–13.9 |
| Housing insecurity in the past 12 months among adults | 9.0% | 7.0–11.1 |
| Lack of reliable transportation in the past 12 months among adults | 6.2% | 5.1–7.6 |
| Loneliness among adults | 32.4% | 27.7–37.0 |
| Utility services shut-off threat in the past 12 months among adults | 7.7% | 6.2–9.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 0.0% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 4.9% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 2.3% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 37.2% | 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 | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 96.6% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 11.0% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 93.6% | 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 | 100.0% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 44.0% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 62.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $101,513 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $340,700 | $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 | 76.2 yr ± 1.77 | 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 1.77 years of 76.2, 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