ZIP code
25540
in Midkiff, West VirginiaPopulation 192
23.43/ 100
Ranked #31,622 of 32,066 US ZIPs (bottom 1.4%)
Ranked #625 of 697 West Virginia ZIPs (bottom 10.4%)
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.
Tree cover
95.7%
in the top 0.2% nationally
Higher is healthier
ST97thUS99thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Unemployment rate
37.9%
in the top 0.5% nationally
Lower is healthier
ST97thUS99thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Home broadband subscription
27.5%
in the bottom 0.5% nationally
Higher is healthier
ST2ndUS1stDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Independent-living disability
15.3%
in the top 2.3% nationally
Lower is healthier
ST89thUS98thDefinition & 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 ›Coronary heart disease
12.5%
in the top 1.2% nationally
Lower is healthier
ST92ndUS99thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Tooth loss
30.7%
in the top 2.8% nationally
Lower is healthier
ST83rdUS97thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Diabetes
21.3%
in the top 2.2% nationally
Lower is healthier
ST90thUS98thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Fair or poor health
35%
in the top 2.7% nationally
Lower is healthier
ST88thUS97thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
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 ›Median household income
$2,499
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
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
- People living in poverty
- Adults reporting fair or poor health
- Chronic conditions
Barriers to reaching care
- Distance to the nearest emergency room
- 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
Midkiff, West Virginia (ZIP 25540), on the composite measure, lands in the bottom 1.4% nationally (31,622nd) and the bottom 10.4% of West Virginia (625th).
What the data shows most clearly about this place comes first: unemployment rests in the top 0.5% nationally, modeled independent living disability sits in the top 2.3% nationally, and modeled coronary heart disease registers in the top 1.2% nationally. Modeled tooth loss lands in the top 2.8% nationally, diabetes resides in the top 2.2% nationally, and fair or poor health lies in the top 2.7% nationally. Modeled mobility disability settles in the top 1.9% nationally, and household income stands at the national minimum. Households without a vehicle is in the top 1.4% nationally. More positively, modeled tree cover rests in the top 0.2% nationally.
Set against the neighboring ZIPs, unemployment runs far higher than the surrounding ZIPs on this measure. A healthier neighbor overall sits at ZIP 25506, just across the boundary. Across the board, 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.
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 62%
5%
About typical
Environmental Hazard
healthier than 44%
14%
Holding it back
Chronic Disease Burden
in the bottom 0.5%
21%
Social Need / SDOH
healthier than 3%
16%
Preventive Care
healthier than 32%
13%
Risk Behavior
healthier than 3%
11%
Mental Health
healthier than 2%
8%
Disability
healthier than 2%
7%
Healthcare Access
healthier than 31%
5%
Nothing measured is lifting this score.
Holding it back
Chronic Disease Burden
healthier than 9%
21%
Social Need / SDOH
healthier than 7%
16%
Environmental Hazard
healthier than 36%
14%
Preventive Care
healthier than 22%
13%
Risk Behavior
healthier than 31%
11%
Mental Health
healthier than 32%
8%
Disability
healthier than 10%
7%
Climate / Disaster Risk
healthier than 28%
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
25506
West Virginiashares a border
Score 28.80
Closest healthier
25557
West Virginiashares a border
Score 27.87
Similar health profile
25007
West Virginia100% similar profile
Score 14.55
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 | 45.7% | 41.8–49.3 |
| High blood pressure among adults | 51.2% | 46.6–55.4 |
| Cancer (non-skin) or melanoma among adults | 11.0% | 9.8–12.3 |
| Current asthma among adults | 12.9% | 11.3–14.6 |
| Coronary heart disease among adults | 12.5% | 11.0–14.2 |
| Chronic obstructive pulmonary disease among adults | 16.5% | 14.0–19.2 |
| Depression among adults | 32.1% | 27.8–36.6 |
| Diagnosed diabetes among adults | 21.3% | 18.5–24.0 |
| High cholesterol among adults who have ever been screened | 46.0% | 41.3–50.7 |
| Obesity among adults | 46.3% | 38.4–54.1 |
| Stroke among adults | 6.1% | 5.4–7.0 |
| All teeth lost among adults aged >=65 years | 30.7% | 26.1–35.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 11.9% | 8.9–15.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 82.9% | 80.6–85.0 |
| Visits to doctor for routine checkup within the past year among adults | 82.1% | 78.8–85.1 |
| Cholesterol screening among adults | 85.0% | 82.6–87.3 |
| Colorectal cancer screening among adults aged 45–75 years | 63.5% | 58.2–68.4 |
| Visited dentist or dental clinic in the past year among adults | 46.5% | 42.7–50.7 |
| Mammography use among women aged 50-74 years | 72.1% | 64.1–79.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 11.8% | 9.5–14.4 |
| Current cigarette smoking among adults | 25.4% | 21.5–29.4 |
| No leisure-time physical activity among adults | 40.0% | 34.0–46.1 |
| Short sleep duration among adults | 43.2% | 36.7–49.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 35.0% | 30.0–39.9 |
| Frequent mental distress among adults | 22.3% | 19.6–24.9 |
| Frequent physical distress among adults | 22.7% | 19.7–25.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 22.5% | 19.3–25.7 |
| Any disability among adults | 48.6% | 43.0–53.8 |
| Hearing disability among adults | 12.7% | 11.1–14.2 |
| Independent living disability among adults | 15.3% | 13.0–17.6 |
| Mobility disability among adults | 26.6% | 22.9–30.3 |
| Self-care disability among adults | 7.1% | 6.0–8.4 |
| Vision disability among adults | 9.0% | 7.6–10.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.9% | 20.0–28.3 |
| Food insecurity in the past 12 months among adults | 22.7% | 18.2–27.3 |
| Received food stamps in the past 12 months among adults | 27.7% | 22.9–32.9 |
| Housing insecurity in the past 12 months among adults | 15.1% | 12.4–18.0 |
| Lack of reliable transportation in the past 12 months among adults | 11.6% | 9.7–13.6 |
| Loneliness among adults | 34.6% | 29.4–40.4 |
| Utility services shut-off threat in the past 12 months among adults | 13.8% | 11.7–16.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 43.2% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 0.0% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 29.6% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 0.0% | 23.3% (9.2–53.6%) n=32,505 | 14.1% (0.0–32.5%) n=695 |
| Unemployment rate (16+) | 37.9% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–17.9%) n=668 |
| Households without a vehicle | 42.0% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 27.5% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 0.0% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 43.5% | 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 | 52.5% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 0.0% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 25.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $2,499 | $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 | 70.4 yr ± 1.63 | 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 1.63 years of 70.4, 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