ZIP code
25696
in Varney, West VirginiaPopulation 1,241
17.76/ 100
Ranked #31,963 of 32,066 US ZIPs (bottom 0.4%)
Ranked #674 of 697 West Virginia 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.
Independent-living disability
16.7%
in the top 1.2% nationally
Lower is healthier
ST94thUS99thDefinition & 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 ›Cognitive disability
25.4%
in the top 0.9% nationally
Lower is healthier
ST95thUS99thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Short sleep
49%
in the top 0.6% nationally
Lower is healthier
ST98thUS99thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Fair or poor health
37%
in the top 1.6% nationally
Lower is healthier
ST93rdUS98thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Tooth loss
30.9%
in the top 2.7% nationally
Lower is healthier
ST84thUS97thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Mobility disability
26.6%
in the top 1.9% nationally
Lower is healthier
ST89thUS98thDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Unemployment rate
23.9%
in the top 1.4% nationally
Lower is healthier
ST94thUS99thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Self-care disability
7.6%
in the top 3.9% nationally
Lower is healthier
ST92ndUS96thDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›Diabetes
20.4%
in the top 3.2% nationally
Lower is healthier
ST83rdUS97thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Energy-cost burden
6.1%
in the top 2.7% nationally
Lower is healthier
ST92ndUS97thDefinition & 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 ›Cross-source signals
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
- Food insecurity
- Adults reporting fair or poor health
- Chronic conditions
Barriers to reaching care
- Thin local supply of doctors
- Thin local supply of pharmacies
- 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
Overall, Varney, West Virginia (ZIP 25696) lands in the bottom 0.4% nationally (31,963rd) and the bottom 3.3% of West Virginia (674th).
What defines this place in the numbers is worth naming first: modeled independent living disability settles in the top 1.2% nationally, and cognitive disability resides in the top 0.9% nationally. Modeled short sleep registers in the top 0.6% nationally, and fair or poor health rests in the top 1.6% nationally. Modeled tooth loss stands in the top 2.7% nationally, modeled mobility disability lies in the top 1.9% nationally, and unemployment lands in the top 1.4% nationally. Modeled self-care disability sits in the top 3.9% nationally, diabetes is in the top 3.2% nationally, and energy burden settles in the top 2.7% nationally.
A note on the terms: energy burden is the share of household income that goes to home energy bills. For a healthier nearby comparison, ZIP 25621, just across the boundary, ranks better overall. The ZIP 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.
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 65%
5%
About typical
Healthcare Access
healthier than 50%
5%
Holding it back
Chronic Disease Burden
in the bottom 1.0%
21%
Social Need / SDOH
healthier than 2%
16%
Environmental Hazard
healthier than 15%
14%
Preventive Care
healthier than 16%
13%
Risk Behavior
in the bottom 0.09%
11%
Mental Health
in the bottom 0.00%
8%
Disability
healthier than 1%
7%
Nothing measured is lifting this score.
About typical
Healthcare Access
healthier than 44%
5%
Holding it back
Chronic Disease Burden
healthier than 16%
21%
Social Need / SDOH
healthier than 4%
16%
Environmental Hazard
healthier than 9%
14%
Preventive Care
healthier than 7%
13%
Risk Behavior
healthier than 1%
11%
Mental Health
in the bottom 0.00%
8%
Disability
healthier than 7%
7%
Climate / Disaster Risk
healthier than 39%
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
25621
West Virginiashares a border
Score 27.87
Closest healthier
25644
West Virginiashares a border
Score 32.36
Similar health profile
25534
West Virginia100% similar profile
Score 19.62
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 | 42.2% | 38.2–46.1 |
| High blood pressure among adults | 49.7% | 45.1–54.2 |
| Cancer (non-skin) or melanoma among adults | 9.2% | 8.2–10.2 |
| Current asthma among adults | 13.7% | 12.0–15.5 |
| Coronary heart disease among adults | 11.5% | 10.2–12.9 |
| Chronic obstructive pulmonary disease among adults | 17.2% | 15.0–19.7 |
| Depression among adults | 35.6% | 30.9–40.5 |
| Diagnosed diabetes among adults | 20.4% | 17.9–23.1 |
| High cholesterol among adults who have ever been screened | 45.5% | 40.8–50.1 |
| Obesity among adults | 45.0% | 36.5–53.5 |
| Stroke among adults | 5.8% | 5.1–6.5 |
| All teeth lost among adults aged >=65 years | 30.9% | 26.2–35.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 13.2% | 10.0–16.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.3% | 76.5–81.8 |
| Visits to doctor for routine checkup within the past year among adults | 80.0% | 76.3–83.4 |
| Cholesterol screening among adults | 82.6% | 80.0–85.0 |
| Colorectal cancer screening among adults aged 45–75 years | 60.3% | 55.1–65.3 |
| Visited dentist or dental clinic in the past year among adults | 43.4% | 39.5–47.4 |
| Mammography use among women aged 50-74 years | 72.2% | 63.9–79.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.6% | 10.1–15.3 |
| Current cigarette smoking among adults | 30.3% | 26.2–34.8 |
| No leisure-time physical activity among adults | 45.6% | 39.7–51.6 |
| Short sleep duration among adults | 49.0% | 42.0–55.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 37.0% | 32.4–41.9 |
| Frequent mental distress among adults | 25.7% | 22.8–28.7 |
| Frequent physical distress among adults | 23.4% | 20.6–26.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 25.4% | 22.3–28.7 |
| Any disability among adults | 51.1% | 45.8–56.6 |
| Hearing disability among adults | 11.3% | 10.0–12.7 |
| Independent living disability among adults | 16.7% | 14.6–19.1 |
| Mobility disability among adults | 26.6% | 23.4–30.2 |
| Self-care disability among adults | 7.6% | 6.7–8.8 |
| Vision disability among adults | 9.4% | 8.2–10.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.0% | 21.3–29.2 |
| Food insecurity in the past 12 months among adults | 28.6% | 24.1–33.5 |
| Received food stamps in the past 12 months among adults | 35.5% | 30.7–40.9 |
| Housing insecurity in the past 12 months among adults | 18.9% | 16.1–22.2 |
| Lack of reliable transportation in the past 12 months among adults | 14.3% | 12.4–16.6 |
| Loneliness among adults | 35.9% | 30.6–41.3 |
| Utility services shut-off threat in the past 12 months among adults | 18.0% | 15.7–20.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 22.9% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 12.5% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 10.4% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 4.6% | 23.3% (9.2–53.6%) n=32,505 | 14.1% (0.0–32.5%) n=695 |
| Unemployment rate (16+) | 23.9% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–17.9%) n=668 |
| Households without a vehicle | 5.7% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 92.9% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 15.7% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 74.9% | 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 | 1.4% | 2.6% (0.0–18.6%) n=32,553 | 0.0% (0.0–2.1%) n=696 |
| Single-parent households | 33.2% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 22.4% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 41.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $48,077 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $109,400 | $222,200 ($100,300–$579,820) n=30,049 | $125,600 ($66,920–$223,500) n=553 |
| Median gross rent | $826 | $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 | 75.9 yr ± 1.83 | 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 1.83 years of 75.9, 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