ZIP code
25404
in Martinsburg, West VirginiaPopulation 23,990
42.05/ 100
Ranked #25,177 of 32,066 US ZIPs (bottom 21%)
Ranked #113 of 697 West Virginia ZIPs (top 16%)
Ranked #25 of 28 Hagerstown-Martinsburg, MD-WV ZIPs (bottom 10.8%)
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.
Radon
3.5 pCi/L
in the top 4.8% nationally
Lower is healthier
ST99thUS95thDefinition & 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 ›Nitrate in drinking water
11.8%
in the top 2.9% nationally
Lower is healthier
ST99thUS97thDefinition & source ›
The modeled share of this area’s domestic-well groundwater at or above the federal nitrate limit of 10 milligrams 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 ›Subsidized affordable housing
470 units
in the top 4.9% nationally
Higher is healthier
ST99thUS95thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Mental-health provider access
0.087 per 1,000 residents
in the top 12.5% nationally
Higher is healthier
ST91stUS88thDefinition & 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 ›Homeownership rate
60%
in the bottom 16% nationally
Higher is healthier
ST9thUS16thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Energy-cost burden
2.3%
in the bottom 21% nationally
Lower is healthier
ST7thUS21stDefinition & 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 ›Mammography
78.4%
in the top 22% nationally
Higher is healthier
ST90thUS78thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Short sleep
38.2%
in the top 30% nationally
Lower is healthier
ST7thUS70thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Expected annual disaster loss
$0
in the top 31% nationally
Lower is healthier
ST98thUS69thDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›PFAS in drinking water
68.8%
in the top 34% nationally
Lower is healthier
ST93rdUS66thDefinition & source ›
The share of residents served by public water systems where PFAS — man-made “forever chemicals” that build up in the body and environment instead of breaking down — were detected in EPA testing.
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 ›The read
Overall, ZIP 25404, one of several in Martinsburg, West Virginia places in the bottom 21% nationally (25,177th) and the top 16% of West Virginia (113th).
The measures fall on both sides for this area, fairly evenly: subsidized affordable housing lies in the top 4.9% nationally. Distance to a community health center rests at the national minimum, shared with about 23% of ZIPs. Mental-health providers resides in the top 12.5% nationally. Distance to a nursing home is at the national minimum, shared with about 27% of ZIPs. Pulling the other way, modeled radon lands in the top 4.8% nationally, nitrate stands in the top 2.9% nationally, and utility shutoff registers in the top 12.3% nationally. Modeled pfas settles in the top 13.1% nationally, households without a vehicle sits in the top 16% nationally, and homeownership lies in the bottom 16% nationally.
For readers new to these terms, radon is a radioactive soil gas the EPA identifies as the top cause of lung cancer in nonsmokers. Nitrate is a groundwater compound from fertilizer, manure, and sewage, here a modeled estimate of the chance private-well levels exceed a benchmark. 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. Among nearby ZIPs, the nearest healthier one overall is ZIP 21782, 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
Healthcare Access
healthier than 91%
5%
About typical
Social Need / SDOH
healthier than 57%
16%
Preventive Care
healthier than 53%
13%
Climate / Disaster Risk
healthier than 57%
5%
Holding it back
Chronic Disease Burden
healthier than 31%
21%
Environmental Hazard
healthier than 5%
14%
Risk Behavior
healthier than 25%
11%
Mental Health
healthier than 2%
8%
Disability
healthier than 35%
7%
Lifting this score
Chronic Disease Burden
healthier than 95%
21%
Social Need / SDOH
healthier than 86%
16%
Risk Behavior
healthier than 89%
11%
Disability
healthier than 87%
7%
Healthcare Access
healthier than 95%
5%
About typical
Preventive Care
healthier than 51%
13%
Mental Health
healthier than 47%
8%
Holding it back
Environmental Hazard
healthier than 2%
14%
Climate / Disaster Risk
healthier than 17%
5%
Lifting this score
Healthcare Access
healthier than 93%
5%
Holding it back
Chronic Disease Burden
healthier than 19%
21%
Social Need / SDOH
healthier than 22%
16%
Environmental Hazard
healthier than 4%
14%
Preventive Care
healthier than 19%
13%
Risk Behavior
healthier than 19%
11%
Mental Health
healthier than 7%
8%
Disability
healthier than 19%
7%
Climate / Disaster Risk
healthier than 19%
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 ›
Findings that name this ZIP
2 of our published findings list 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 75.4 ± 0.9 years. A median household income of $70,633 predicts 78.7 years — 3.3 years below.
Ranked #4,512 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Below its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 75.4 ± 0.9 years. The 48 nearest ZIP codes with estimates average 78.8 years — 3.4 years below them.
Ranked #2,660 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
21782
Marylandshares a border
Score 55.30
Closest healthier
21795
Marylandshares a border
Score 50.62
Similar health profile
25705
West Virginia98% similar profile
Score 40.20
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 | 32.6% | 29.6–35.9 |
| High blood pressure among adults | 40.2% | 36.4–44.0 |
| Cancer (non-skin) or melanoma among adults | 7.8% | 7.1–8.6 |
| Current asthma among adults | 12.7% | 11.3–14.3 |
| Coronary heart disease among adults | 6.9% | 6.2–7.7 |
| Chronic obstructive pulmonary disease among adults | 8.9% | 7.9–10.0 |
| Depression among adults | 30.1% | 26.5–34.0 |
| Diagnosed diabetes among adults | 14.1% | 12.4–15.9 |
| High cholesterol among adults who have ever been screened | 39.7% | 35.9–43.7 |
| Obesity among adults | 39.5% | 33.9–45.5 |
| Stroke among adults | 3.6% | 3.3–3.9 |
| All teeth lost among adults aged >=65 years | 18.6% | 15.4–22.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.1% | 7.7–10.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.7% | 72.8–78.4 |
| Visits to doctor for routine checkup within the past year among adults | 79.9% | 76.7–82.9 |
| Cholesterol screening among adults | 86.3% | 84.5–88.1 |
| Colorectal cancer screening among adults aged 45–75 years | 67.6% | 63.1–71.9 |
| Visited dentist or dental clinic in the past year among adults | 54.8% | 51.3–58.4 |
| Mammography use among women aged 50-74 years | 78.4% | 72.0–84.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.3% | 11.9–17.1 |
| Current cigarette smoking among adults | 18.3% | 16.1–20.8 |
| No leisure-time physical activity among adults | 32.2% | 28.3–36.6 |
| Short sleep duration among adults | 38.2% | 33.0–43.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 23.8% | 21.3–26.7 |
| Frequent mental distress among adults | 22.5% | 20.2–25.0 |
| Frequent physical distress among adults | 16.3% | 14.6–18.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.7% | 16.7–20.8 |
| Any disability among adults | 36.4% | 32.5–40.5 |
| Hearing disability among adults | 7.1% | 6.3–8.0 |
| Independent living disability among adults | 10.3% | 9.2–11.4 |
| Mobility disability among adults | 16.7% | 14.8–18.8 |
| Self-care disability among adults | 4.2% | 3.9–4.7 |
| Vision disability among adults | 5.4% | 5.0–6.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.1% | 20.9–27.5 |
| Food insecurity in the past 12 months among adults | 17.5% | 15.2–19.9 |
| Received food stamps in the past 12 months among adults | 18.6% | 16.3–21.1 |
| Housing insecurity in the past 12 months among adults | 14.5% | 12.6–16.6 |
| Lack of reliable transportation in the past 12 months among adults | 9.7% | 8.6–10.9 |
| Loneliness among adults | 33.9% | 29.6–38.5 |
| Utility services shut-off threat in the past 12 months among adults | 12.6% | 11.1–14.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 14.9% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 11.7% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 11.2% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 23.1% | 23.3% (9.2–53.6%) n=32,505 | 14.1% (0.0–32.5%) n=695 |
| Unemployment rate (16+) | 6.0% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–17.9%) n=668 |
| Households without a vehicle | 9.7% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 93.4% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 31.3% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 60.0% | 78.7% (51.7–94.0%) n=32,322 | 84.0% (61.6–100.0%) n=694 |
| Crowded housing (>1 per room) | 3.8% | 1.3% (0.0–6.3%) n=32,322 | 0.0% (0.0–4.1%) n=694 |
| Foreign-born population | 6.0% | 2.6% (0.0–18.6%) n=32,553 | 0.0% (0.0–2.1%) n=696 |
| Single-parent households | 43.6% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 15.0% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 36.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $70,633 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $246,200 | $222,200 ($100,300–$579,820) n=30,049 | $125,600 ($66,920–$223,500) n=553 |
| Median gross rent | $1,292 | $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 | 75.4 yr ± 0.47 | 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 0.47 years of 75.4, 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