ZIP code
26036
in Dallas, West VirginiaPopulation 712
38.58/ 100
Ranked #27,679 of 32,066 US ZIPs (bottom 13.7%)
Ranked #199 of 697 West Virginia ZIPs (top 29%)
Ranked #25 of 34 Wheeling, WV-OH ZIPs (bottom 26%)
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.
Air-toxics cancer risk
40.1 per million
in the top 2.3% nationally
Lower is healthier
ST98thUS98thDefinition & 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 ›Short sleep
44.2%
in the top 4.2% nationally
Lower is healthier
ST74thUS96thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Crowded housing
10.5%
in the top 4.2% nationally
Lower is healthier
ST96thUS96thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Tree cover
72.5%
in the top 8.0% nationally
Higher is healthier
ST29thUS92ndDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Expected annual disaster loss
$0
in the bottom 9.1% nationally
Lower is healthier
ST18thUS9thDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›High blood pressure
46.3%
in the top 9.2% nationally
Lower is healthier
ST40thUS91stDefinition & 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
8.7 mi
in the top 24% nationally
Lower is healthier
ST99thUS76thDefinition & 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
30.2%
in the bottom 25% nationally
Lower is healthier
ST1stUS25thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›The read
In its overall standing, Dallas, West Virginia (ZIP 26036) lands in the bottom 13.7% nationally (27,679th) and the top 29% of West Virginia (199th).
Taken together, the data gives a genuinely mixed reading: unemployment stands at the national minimum, shared with about 15% of ZIPs. Households without a vehicle rests at the national minimum, shared with about 16% of ZIPs. Modeled tree cover registers in the top 8.0% nationally, and expected annual loss resides in the bottom 9.1% nationally. Modeled loud transportation noise settles at the national minimum, shared with about 22% of ZIPs. Housing-cost burden is in the bottom 11.7% nationally. On the other side, modeled air-toxics cancer risk sits in the top 2.3% nationally, and short sleep lands in the top 4.2% nationally. Crowded housing lies in the top 4.2% nationally, and modeled high blood pressure stands in the top 9.2% nationally.
Put simply, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. 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. On the overall standing, ZIP 15377, just across the boundary, ranks healthier.
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
Preventive Care
healthier than 73%
13%
Climate / Disaster Risk
healthier than 78%
5%
Holding it back
Chronic Disease Burden
healthier than 9%
21%
Social Need / SDOH
healthier than 36%
16%
Environmental Hazard
healthier than 32%
14%
Risk Behavior
healthier than 8%
11%
Mental Health
healthier than 4%
8%
Disability
healthier than 22%
7%
Healthcare Access
healthier than 20%
5%
Lifting this score
Chronic Disease Burden
healthier than 70%
21%
Social Need / SDOH
healthier than 66%
16%
Preventive Care
healthier than 84%
13%
Mental Health
healthier than 70%
8%
Disability
healthier than 71%
7%
Climate / Disaster Risk
healthier than 72%
5%
About typical
Risk Behavior
healthier than 60%
11%
Holding it back
Environmental Hazard
healthier than 23%
14%
Healthcare Access
healthier than 2%
5%
Lifting this score
Environmental Hazard
healthier than 61%
14%
Preventive Care
healthier than 79%
13%
Climate / Disaster Risk
healthier than 79%
5%
About typical
Social Need / SDOH
healthier than 42%
16%
Holding it back
Chronic Disease Burden
healthier than 12%
21%
Risk Behavior
healthier than 27%
11%
Mental Health
healthier than 18%
8%
Disability
healthier than 18%
7%
Healthcare Access
healthier than 3%
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
15377
Pennsylvaniashares a border
Score 53.06
Closest healthier
26003
West Virginiashares a border
Score 42.71
Similar health profile
26576
West Virginia99% similar profile
Score 37.93
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 | 41.2% | 37.0–45.5 |
| High blood pressure among adults | 46.3% | 41.5–51.0 |
| Cancer (non-skin) or melanoma among adults | 10.6% | 9.4–11.8 |
| Current asthma among adults | 12.5% | 11.0–14.3 |
| Coronary heart disease among adults | 9.6% | 8.3–11.0 |
| Chronic obstructive pulmonary disease among adults | 11.1% | 9.0–13.3 |
| Depression among adults | 30.6% | 26.6–35.1 |
| Diagnosed diabetes among adults | 16.6% | 14.1–19.3 |
| High cholesterol among adults who have ever been screened | 43.1% | 38.4–47.9 |
| Obesity among adults | 38.3% | 30.9–46.0 |
| Stroke among adults | 4.5% | 3.8–5.2 |
| All teeth lost among adults aged >=65 years | 18.7% | 15.6–22.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.5% | 5.5–9.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.8% | 78.8–84.4 |
| Visits to doctor for routine checkup within the past year among adults | 82.1% | 78.6–85.1 |
| Cholesterol screening among adults | 88.9% | 86.7–90.7 |
| Colorectal cancer screening among adults aged 45–75 years | 68.4% | 63.7–72.8 |
| Visited dentist or dental clinic in the past year among adults | 55.3% | 51.5–59.2 |
| Mammography use among women aged 50-74 years | 75.6% | 67.6–82.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.7% | 11.2–16.6 |
| Current cigarette smoking among adults | 20.7% | 16.4–25.2 |
| No leisure-time physical activity among adults | 32.6% | 26.8–38.9 |
| Short sleep duration among adults | 44.2% | 37.2–51.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 25.3% | 21.0–29.9 |
| Frequent mental distress among adults | 20.6% | 17.9–23.5 |
| Frequent physical distress among adults | 18.1% | 15.4–21.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.0% | 15.2–21.1 |
| Any disability among adults | 39.4% | 34.0–45.1 |
| Hearing disability among adults | 9.8% | 8.5–11.2 |
| Independent living disability among adults | 10.8% | 9.0–12.8 |
| Mobility disability among adults | 19.4% | 16.1–23.0 |
| Self-care disability among adults | 4.8% | 3.9–5.8 |
| Vision disability among adults | 5.8% | 4.8–6.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.0% | 18.2–26.0 |
| Food insecurity in the past 12 months among adults | 14.9% | 11.6–18.8 |
| Received food stamps in the past 12 months among adults | 17.1% | 13.4–21.5 |
| Housing insecurity in the past 12 months among adults | 11.9% | 9.6–14.5 |
| Lack of reliable transportation in the past 12 months among adults | 8.4% | 6.9–10.0 |
| Loneliness among adults | 30.2% | 25.1–35.2 |
| Utility services shut-off threat in the past 12 months among adults | 11.0% | 9.1–13.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 12.8% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 16.0% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 6.9% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 3.2% | 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 | 88.4% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 11.6% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 92.4% | 78.7% (51.7–94.0%) n=32,322 | 84.0% (61.6–100.0%) n=694 |
| Crowded housing (>1 per room) | 10.5% | 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 | 96.3% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 19.0% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 44.5 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 | 76.0 yr ± 1.19 | 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 1.19 years of 76.0, 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