ZIP code
25142
in Nellis, West VirginiaPopulation 130
35.89/ 100
Ranked #29,047 of 32,066 US ZIPs (bottom 9.5%)
Ranked #297 of 697 West Virginia ZIPs (top 43%)
Ranked #28 of 83 Charleston, WV ZIPs (top 34%)
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
90.4%
in the top 1.2% nationally
Higher is healthier
ST79thUS99thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Housing-cost burden
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Transportation noise
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Homeownership rate
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Home broadband subscription
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›High cholesterol
46.8%
in the top 1.7% nationally
Lower is healthier
ST81stUS98thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Obesity
47.2%
in the top 2.0% nationally
Lower is healthier
ST93rdUS98thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›High blood pressure
50.2%
in the top 3.3% nationally
Lower is healthier
ST80thUS97thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Lead in tap water
0 ppb
at the national minimum
Lower is healthier
US1stDefinition & source ›
The lead level at the 90th percentile of tap-water samples reported by the public water systems serving this ZIP, in parts per billion — the EPA requires action above 15 ppb.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Diabetes
18.6%
in the top 6.5% nationally
Lower is healthier
ST65thUS94thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›The read
By its overall health score, Nellis, West Virginia (ZIP 25142) lands in the bottom 9.5% nationally (29,047th) and the top 43% of West Virginia (297th).
The burdens that read clearest in the data come first: modeled high cholesterol resides in the top 1.7% nationally, and obesity lands in the top 2.0% nationally. Modeled high blood pressure registers in the top 3.3% nationally, and diabetes sits in the top 6.5% nationally. Better still, modeled tree cover rests in the top 1.2% nationally, housing-cost burden is at the national minimum, and modeled transportation noise stands at the national minimum. Homeownership settles at the national maximum, home broadband subscription lies at the national maximum, and lead in tap water resides at the national minimum.
To translate a couple of terms, lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. Overall, the nearest healthier neighbor is ZIP 25529, just across the boundary.
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 Charleston, WV metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental Hazard
healthier than 77%
14%
Preventive Care
healthier than 62%
13%
Climate / Disaster Risk
healthier than 64%
5%
About typical
Social Need / SDOH
healthier than 51%
16%
Holding it back
Chronic Disease Burden
healthier than 3%
21%
Risk Behavior
healthier than 6%
11%
Mental Health
healthier than 4%
8%
Disability
healthier than 14%
7%
Healthcare Access
healthier than 28%
5%
Lifting this score
Social Need / SDOH
healthier than 79%
16%
Environmental Hazard
healthier than 65%
14%
Preventive Care
healthier than 68%
13%
Mental Health
healthier than 71%
8%
About typical
Risk Behavior
healthier than 48%
11%
Disability
healthier than 52%
7%
Holding it back
Chronic Disease Burden
healthier than 34%
21%
Climate / Disaster Risk
healthier than 33%
5%
Healthcare Access
healthier than 10%
5%
Lifting this score
Social Need / SDOH
healthier than 89%
16%
Environmental Hazard
healthier than 71%
14%
Preventive Care
healthier than 72%
13%
Risk Behavior
healthier than 62%
11%
Mental Health
healthier than 87%
8%
About typical
Disability
healthier than 56%
7%
Climate / Disaster Risk
healthier than 57%
5%
Holding it back
Chronic Disease Burden
healthier than 30%
21%
Healthcare Access
healthier than 5%
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
25009
West Virginiashares a border
Score 34.38
Closest healthier
25529
West Virginiashares a border
Score 36.46
Similar health profile
26611
West Virginia100% similar profile
Score 37.38
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 | 43.2% | 39.2–47.1 |
| High blood pressure among adults | 50.2% | 45.7–54.7 |
| Cancer (non-skin) or melanoma among adults | 10.6% | 9.5–12.0 |
| Current asthma among adults | 12.6% | 11.1–14.3 |
| Coronary heart disease among adults | 10.1% | 8.8–11.6 |
| Chronic obstructive pulmonary disease among adults | 13.0% | 10.8–15.6 |
| Depression among adults | 30.2% | 26.1–34.5 |
| Diagnosed diabetes among adults | 18.6% | 16.0–21.3 |
| High cholesterol among adults who have ever been screened | 46.8% | 42.2–51.5 |
| Obesity among adults | 47.2% | 39.4–55.4 |
| Stroke among adults | 4.9% | 4.2–5.7 |
| All teeth lost among adults aged >=65 years | 20.1% | 16.4–24.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.8% | 7.3–13.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.8% | 79.0–84.2 |
| Visits to doctor for routine checkup within the past year among adults | 81.7% | 78.1–84.8 |
| Cholesterol screening among adults | 87.7% | 85.3–89.8 |
| Colorectal cancer screening among adults aged 45–75 years | 67.0% | 61.7–71.8 |
| Visited dentist or dental clinic in the past year among adults | 55.7% | 51.7–59.6 |
| Mammography use among women aged 50-74 years | 75.5% | 67.8–82.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.2% | 10.6–16.1 |
| Current cigarette smoking among adults | 21.9% | 17.3–26.1 |
| No leisure-time physical activity among adults | 37.2% | 31.0–43.5 |
| Short sleep duration among adults | 42.7% | 35.8–49.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 28.9% | 24.3–33.9 |
| Frequent mental distress among adults | 20.8% | 18.2–23.3 |
| Frequent physical distress among adults | 19.3% | 16.6–22.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 19.1% | 16.3–22.3 |
| Any disability among adults | 42.8% | 37.2–48.6 |
| Hearing disability among adults | 10.0% | 8.8–11.4 |
| Independent living disability among adults | 11.6% | 9.9–13.6 |
| Mobility disability among adults | 22.2% | 18.7–25.9 |
| Self-care disability among adults | 5.3% | 4.4–6.3 |
| Vision disability among adults | 6.5% | 5.6–7.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.6% | 19.6–27.8 |
| Food insecurity in the past 12 months among adults | 17.2% | 13.5–21.6 |
| Received food stamps in the past 12 months among adults | 19.0% | 14.9–23.6 |
| Housing insecurity in the past 12 months among adults | 12.5% | 10.1–15.1 |
| Lack of reliable transportation in the past 12 months among adults | 9.1% | 7.5–10.8 |
| Loneliness among adults | 31.8% | 26.8–37.2 |
| Utility services shut-off threat in the past 12 months among adults | 10.9% | 9.0–12.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 23.8% | 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+) | 11.7% | 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+) | 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 | 100.0% | 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 | 100.0% | 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 | 0.0% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 29.2% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 55.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $86,146 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $213,200 | $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 | 77.5 yr ± 2.84 | 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 2.84 years of 77.5, 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