ZIP code
25428
in Inwood, West VirginiaPopulation 14,825
46.27/ 100
Ranked #21,023 of 32,066 US ZIPs (bottom 34%)
Ranked #41 of 697 West Virginia ZIPs (top 5.9%)
Ranked #19 of 28 Hagerstown-Martinsburg, MD-WV ZIPs (bottom 32%)
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.
PFAS in drinking water
59.9%
in the top 8.0% nationally
Lower is healthier
ST94thUS92ndDefinition & source ›
The modeled probability that PFAS “forever chemicals” would be detected in untreated groundwater in this area, the source private wells draw on.
A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.
Full methodology ›Mental-health provider access
0.078 per 1,000 residents
in the top 13.5% nationally
Higher is healthier
ST91stUS87thDefinition & source ›
The number of mental-health clinics located 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 ›Radon
2.7 pCi/L
in the top 15% nationally
Lower is healthier
ST96thUS85thDefinition & source ›
The modeled typical indoor radon level for this area, in picocuries per liter — the EPA recommends fixing a home at 4 pCi/L or above.
Modeled from indoor-radon measurements. In Alaska and Hawaii, where those measurements are not published, a US Geological Survey geologic radon-potential category stands in — a coarser input, disclosed rather than hidden.
Full methodology ›Mammography
79.2%
in the top 16% nationally
Higher is healthier
ST94thUS84thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Energy-cost burden
2.2%
in the bottom 17% nationally
Lower is healthier
ST4thUS17thDefinition & 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 ›Arsenic in groundwater
1.7%
in the bottom 19% nationally
Lower is healthier
ST7thUS19thDefinition & source ›
The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms per liter.
A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.
Full methodology ›Stroke
3.0%
in the bottom 18% nationally
Lower is healthier
ST1stUS18thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Hearing disability
6.4%
in the bottom 22% nationally
Lower is healthier
ST1stUS22ndDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Fiber broadband
82.1%
in the top 22% nationally
Higher is healthier
ST93rdUS78thDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›Coronary heart disease
6.0%
in the bottom 23% nationally
Lower is healthier
ST1stUS23rdDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›The read
Inwood, West Virginia (ZIP 25428) ranks in the bottom 34% nationally (21,023rd) and the top 5.9% of West Virginia (41st).
Several signals sit on each side of the ledger here: housing-cost burden rests in the bottom 11.6% nationally, and mental-health providers lands in the top 13.5% nationally. Modeled mammography settles in the top 16% nationally, and energy burden rests in the bottom 17% nationally. Homeownership lands in the top 18% nationally, and modeled arsenic settles in the bottom 19% nationally. Working the other way, modeled pfas rests in the top 8.0% nationally, transportation noise lands in the top 12.4% nationally, and radon settles in the top 15% nationally. Distance to a hazardous-chemical facility rests at the national minimum, shared with about 31% of ZIPs.
For context, pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. Radon is a radioactive soil gas the EPA identifies as the top cause of lung cancer in nonsmokers. Distance to a hazardous-chemical facility is a plant handling large amounts of hazardous chemicals that must file an EPA risk-management plan for accidental releases. The closest ZIP that ranks healthier overall is ZIP 25413, 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 Hagerstown-Martinsburg, MD-WV metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Social Need / SDOH
healthier than 70%
16%
Climate / Disaster Risk
healthier than 71%
5%
About typical
Chronic Disease Burden
healthier than 52%
21%
Preventive Care
healthier than 54%
13%
Disability
healthier than 54%
7%
Healthcare Access
healthier than 55%
5%
Holding it back
Environmental Hazard
healthier than 11%
14%
Risk Behavior
healthier than 31%
11%
Mental Health
healthier than 2%
8%
Lifting this score
Chronic Disease Burden
healthier than 98%
21%
Social Need / SDOH
healthier than 94%
16%
Risk Behavior
healthier than 92%
11%
Disability
healthier than 96%
7%
About typical
Preventive Care
healthier than 54%
13%
Mental Health
healthier than 42%
8%
Climate / Disaster Risk
healthier than 54%
5%
Healthcare Access
healthier than 54%
5%
Holding it back
Environmental Hazard
healthier than 6%
14%
Lifting this score
Climate / Disaster Risk
healthier than 74%
5%
About typical
Chronic Disease Burden
healthier than 59%
21%
Social Need / SDOH
healthier than 56%
16%
Healthcare Access
healthier than 56%
5%
Holding it back
Environmental Hazard
healthier than 22%
14%
Preventive Care
healthier than 26%
13%
Risk Behavior
healthier than 30%
11%
Mental Health
healthier than 4%
8%
Disability
healthier than 37%
7%
“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 ›
Findings that name this ZIP
One of our published findings lists this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 76.6 ± 1.0 years. A median household income of $82,885 predicts 79.3 years — 2.7 years below.
Ranked #3,735 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
25403
West Virginiashares a border
Score 45.69
Closest healthier
25413
West Virginiashares a border
Score 48.72
Similar health profile
26543
West Virginia98% similar profile
Score 47.38
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 | 30.5% | 27.6–33.7 |
| High blood pressure among adults | 37.1% | 33.5–40.8 |
| Cancer (non-skin) or melanoma among adults | 7.5% | 6.8–8.2 |
| Current asthma among adults | 12.4% | 11.0–13.9 |
| Coronary heart disease among adults | 6.0% | 5.4–6.6 |
| Chronic obstructive pulmonary disease among adults | 7.7% | 6.9–8.6 |
| Depression among adults | 30.6% | 27.0–34.5 |
| Diagnosed diabetes among adults | 12.2% | 10.7–13.8 |
| High cholesterol among adults who have ever been screened | 38.2% | 34.4–42.1 |
| Obesity among adults | 38.1% | 32.6–44.2 |
| Stroke among adults | 3.0% | 2.8–3.3 |
| All teeth lost among adults aged >=65 years | 14.4% | 11.8–17.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.3% | 7.0–9.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 73.8% | 70.8–76.8 |
| Visits to doctor for routine checkup within the past year among adults | 78.9% | 75.5–82.2 |
| Cholesterol screening among adults | 86.4% | 84.6–88.3 |
| Colorectal cancer screening among adults aged 45–75 years | 66.4% | 61.9–70.8 |
| Visited dentist or dental clinic in the past year among adults | 59.9% | 56.2–63.5 |
| Mammography use among women aged 50-74 years | 79.2% | 72.7–84.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.7% | 13.1–18.7 |
| Current cigarette smoking among adults | 17.3% | 15.1–20.0 |
| No leisure-time physical activity among adults | 29.7% | 25.8–34.3 |
| Short sleep duration among adults | 36.9% | 31.8–42.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.1% | 18.6–23.9 |
| Frequent mental distress among adults | 22.5% | 20.2–25.1 |
| Frequent physical distress among adults | 15.2% | 13.5–17.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.9% | 15.9–20.1 |
| Any disability among adults | 33.7% | 30.0–38.1 |
| Hearing disability among adults | 6.4% | 5.7–7.1 |
| Independent living disability among adults | 9.1% | 8.2–10.2 |
| Mobility disability among adults | 14.3% | 12.6–16.2 |
| Self-care disability among adults | 3.5% | 3.2–3.8 |
| Vision disability among adults | 4.5% | 4.1–4.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.5% | 20.4–27.0 |
| Food insecurity in the past 12 months among adults | 14.4% | 12.4–16.7 |
| Received food stamps in the past 12 months among adults | 14.6% | 12.7–16.9 |
| Housing insecurity in the past 12 months among adults | 12.7% | 11.0–14.7 |
| Lack of reliable transportation in the past 12 months among adults | 8.3% | 7.3–9.4 |
| Loneliness among adults | 33.7% | 29.4–38.3 |
| Utility services shut-off threat in the past 12 months among adults | 10.8% | 9.5–12.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 9.5% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 11.0% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 7.8% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 15.4% | 23.3% (9.2–53.6%) n=32,505 | 14.1% (0.0–32.5%) n=695 |
| Unemployment rate (16+) | 6.5% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–17.9%) n=668 |
| Households without a vehicle | 3.4% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 94.1% | 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 | 89.9% | 78.7% (51.7–94.0%) n=32,322 | 84.0% (61.6–100.0%) n=694 |
| Crowded housing (>1 per room) | 1.6% | 1.3% (0.0–6.3%) n=32,322 | 0.0% (0.0–4.1%) n=694 |
| Foreign-born population | 7.5% | 2.6% (0.0–18.6%) n=32,553 | 0.0% (0.0–2.1%) n=696 |
| Single-parent households | 40.1% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 10.5% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 33.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $82,885 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $247,700 | $222,200 ($100,300–$579,820) n=30,049 | $125,600 ($66,920–$223,500) n=553 |
| Median gross rent | $1,377 | $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 | 76.6 yr ± 0.53 | 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 0.53 years of 76.6, 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