ZIP code
26050
in Newell, West VirginiaPopulation 1,357
27.13/ 100
Ranked #31,221 of 32,066 US ZIPs (bottom 2.7%)
Ranked #572 of 697 West Virginia ZIPs (bottom 18%)
Ranked #31 of 31 Weirton-Steubenville, WV-OH ZIPs (bottom 3.3%)
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.
Unemployment rate
18.2%
in the top 2.4% nationally
Lower is healthier
ST91stUS98thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Cognitive disability
22.1%
in the top 3.7% nationally
Lower is healthier
ST80thUS96thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Independent-living disability
13.7%
in the top 4.7% nationally
Lower is healthier
ST76thUS95thDefinition & source ›
The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.
Full methodology ›Floodplain exposure
54.9%
in the top 3.2% nationally
Lower is healthier
ST99thUS97thDefinition & 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 ›Obesity
46.4%
in the top 2.7% nationally
Lower is healthier
ST88thUS97thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Fair or poor health
31.1%
in the top 6.5% nationally
Lower is healthier
ST70thUS94thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Natural-disaster risk
in the bottom 4.8% nationally
Lower is healthier
ST7thUS5thDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›Tooth loss
24.8%
in the top 7.6% nationally
Lower is healthier
ST56thUS92ndDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Civic-institution access
0.75 per 1,000 residents
in the top 6.9% nationally
Higher is healthier
ST93rdUS93rdDefinition & source ›
The number of civic and social organizations 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 ›Poverty rate
29.7%
in the top 7.1% nationally
Lower is healthier
ST82ndUS93rdDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Cross-source signals
Combined exposures in this ZIP
More than one environmental exposure stands out in this ZIP. Each is established independently and shown on its own above; they are grouped here for context — not because one causes the other.
This area ranks among the highest 10% of US ZIP codes for both flood exposure and the share of households without a vehicle.
See the full flooding, evacuation & humid-heat analysis →
Health need and barriers to care documented here
On our reading, this ZIP code carries the overlap at its acute level: acute means at least three of the six health-need readings and at least three of the six access barriers apply to the same place.
These are two separate readings of public data that both apply to this place — never a claim that one causes the other, never a severity score, and never a statement about any person who lives here.
Health need documented here
- People living in poverty
- Adults reporting fair or poor health
- Chronic conditions
Barriers to reaching care
- Thin local supply of doctors
- Thin local supply of pharmacies
- Households with no vehicle
- Limited home internet for telehealth
A reading appears below only where this ZIP code is among the most-affected 10% of US ZIP codes on it — one national bar, the same for every ZIP in the country.
See the full care-deserts analysis →The read
By the composite health measure, Newell, West Virginia (ZIP 26050) ranks in the bottom 2.7% nationally (31,221st) and the bottom 18% of West Virginia (572nd).
On the ground, a handful of readings define this area: unemployment registers in the top 2.4% nationally, and modeled cognitive disability rests in the top 3.7% nationally. Modeled independent living disability stands in the top 4.7% nationally, and floodplain exposure lies in the top 3.2% nationally. Modeled obesity lands in the top 2.7% nationally, fair or poor health sits in the top 6.5% nationally, and tooth loss is in the top 7.6% nationally. Poverty settles in the top 7.1% nationally. On the better side, modeled disaster risk resides in the bottom 4.8% nationally, and civic registers in the top 6.9% nationally.
To spell things out, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". Close by, ZIP 26034, just across the boundary, ranks healthier overall. On other measures, the area also shows documented health need overlapping with barriers to reaching care, sitting in the most-affected 10% of US ZIP codes on several need measures and several access barriers.
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 Weirton-Steubenville, WV-OH metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Healthcare Access
healthier than 80%
5%
Holding it back
Chronic Disease Burden
healthier than 4%
21%
Social Need / SDOH
healthier than 7%
16%
Environmental Hazard
healthier than 20%
14%
Preventive Care
healthier than 26%
13%
Risk Behavior
healthier than 6%
11%
Mental Health
healthier than 1%
8%
Disability
healthier than 8%
7%
Climate / Disaster Risk
healthier than 9%
5%
Lifting this score
Healthcare Access
healthier than 89%
5%
About typical
Chronic Disease Burden
healthier than 43%
21%
Risk Behavior
healthier than 48%
11%
Holding it back
Social Need / SDOH
healthier than 17%
16%
Environmental Hazard
healthier than 14%
14%
Preventive Care
healthier than 16%
13%
Mental Health
healthier than 23%
8%
Disability
healthier than 30%
7%
Climate / Disaster Risk
in the bottom 0.9%
5%
Lifting this score
Healthcare Access
healthier than 80%
5%
About typical
Environmental Hazard
healthier than 57%
14%
Holding it back
Chronic Disease Burden
in the bottom 0.00%
21%
Social Need / SDOH
in the bottom 0.00%
16%
Preventive Care
in the bottom 0.00%
13%
Risk Behavior
healthier than 13%
11%
Mental Health
in the bottom 0.00%
8%
Disability
in the bottom 0.00%
7%
Climate / Disaster Risk
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
26034
West Virginiashares a border
Score 41.32
Closest healthier
26047
West Virginiashares a border
Score 37.01
Similar health profile
25067
West Virginia99% similar profile
Score 27.40
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 | 39.9% | 36.2–43.9 |
| High blood pressure among adults | 46.6% | 42.4–51.1 |
| Cancer (non-skin) or melanoma among adults | 9.5% | 8.4–10.5 |
| Current asthma among adults | 13.1% | 11.4–14.8 |
| Coronary heart disease among adults | 10.0% | 8.8–11.4 |
| Chronic obstructive pulmonary disease among adults | 13.6% | 11.5–15.9 |
| Depression among adults | 32.1% | 27.8–36.7 |
| Diagnosed diabetes among adults | 18.0% | 15.7–20.7 |
| High cholesterol among adults who have ever been screened | 43.0% | 38.4–47.7 |
| Obesity among adults | 46.4% | 38.7–54.4 |
| Stroke among adults | 4.9% | 4.3–5.5 |
| All teeth lost among adults aged >=65 years | 24.8% | 20.6–29.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.9% | 8.4–13.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.7% | 77.0–82.2 |
| Visits to doctor for routine checkup within the past year among adults | 80.6% | 77.1–83.9 |
| Cholesterol screening among adults | 84.5% | 82.0–87.0 |
| Colorectal cancer screening among adults aged 45–75 years | 64.6% | 59.2–69.6 |
| Visited dentist or dental clinic in the past year among adults | 45.3% | 41.4–49.3 |
| Mammography use among women aged 50-74 years | 71.0% | 62.6–78.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.2% | 10.7–16.1 |
| Current cigarette smoking among adults | 23.9% | 20.2–28.0 |
| No leisure-time physical activity among adults | 37.4% | 31.6–43.4 |
| Short sleep duration among adults | 40.5% | 34.1–47.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 31.1% | 26.8–36.0 |
| Frequent mental distress among adults | 23.3% | 20.5–26.1 |
| Frequent physical distress among adults | 20.3% | 17.6–23.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 22.1% | 19.0–25.4 |
| Any disability among adults | 45.0% | 39.5–50.5 |
| Hearing disability among adults | 10.0% | 8.8–11.4 |
| Independent living disability among adults | 13.7% | 11.7–15.9 |
| Mobility disability among adults | 22.4% | 19.3–26.1 |
| Self-care disability among adults | 5.8% | 4.9–6.9 |
| Vision disability among adults | 7.3% | 6.3–8.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.5% | 19.9–28.0 |
| Food insecurity in the past 12 months among adults | 21.5% | 17.6–25.9 |
| Received food stamps in the past 12 months among adults | 24.6% | 20.4–29.3 |
| Housing insecurity in the past 12 months among adults | 15.0% | 12.5–17.7 |
| Lack of reliable transportation in the past 12 months among adults | 11.3% | 9.5–13.2 |
| Loneliness among adults | 34.5% | 29.3–40.3 |
| Utility services shut-off threat in the past 12 months among adults | 13.3% | 11.3–15.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 29.7% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 20.1% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 24.0% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 19.0% | 23.3% (9.2–53.6%) n=32,505 | 14.1% (0.0–32.5%) n=695 |
| Unemployment rate (16+) | 18.2% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–17.9%) n=668 |
| Households without a vehicle | 13.7% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 83.9% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 24.4% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 64.9% | 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 | 20.8% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 17.6% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 39.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $50,139 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $83,900 | $222,200 ($100,300–$579,820) n=30,049 | $125,600 ($66,920–$223,500) n=553 |
| Median gross rent | $915 | $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 | 74.6 yr ± 1.72 | 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 1.72 years of 74.6, 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