ZIP code
25405
in Martinsburg, West VirginiaPopulation 14,266
44.79/ 100
Ranked #22,625 of 32,066 US ZIPs (bottom 29%)
Ranked #62 of 697 West Virginia ZIPs (top 8.9%)
Ranked #24 of 28 Hagerstown-Martinsburg, MD-WV ZIPs (bottom 14.3%)
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.
Nitrate in drinking water
10.1%
in the top 3.1% 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 ›Radon
3.4 pCi/L
in the top 5.7% nationally
Lower is healthier
ST99thUS94thDefinition & 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 ›PFAS in drinking water
57.7%
in the top 9.0% nationally
Lower is healthier
ST93rdUS91stDefinition & 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 ›Mammography
81%
in the top 6.7% nationally
Higher is healthier
ST98thUS93rdDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Transportation noise
9.2%
in the top 9.8% nationally
Lower is healthier
ST92ndUS90thDefinition & 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 ›Energy-cost burden
2.4%
in the bottom 22% nationally
Lower is healthier
ST7thUS22ndDefinition & 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 ›Stroke
3.2%
in the bottom 24% nationally
Lower is healthier
ST3rdUS24thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›PFAS in drinking water
84.9%
in the top 26% nationally
Lower is healthier
ST95thUS74thDefinition & 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 ›Hearing disability
6.7%
in the bottom 27% nationally
Lower is healthier
ST2ndUS27thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Coronary heart disease
6.4%
in the bottom 30% nationally
Lower is healthier
ST2ndUS30thDefinition & 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
ZIP 25405, one of several in Martinsburg, West Virginia ranks in the bottom 29% nationally (22,625th) and the top 8.9% of West Virginia (62nd).
A balanced set of signals defines this area, not any single one: distance to an emergency room stands at the national minimum, shared with about 11% of ZIPs. Modeled mammography sits in the top 6.7% nationally. Distance to a nursing home resides at the national minimum, shared with about 27% of ZIPs. Home broadband subscription stands in the top 19% nationally. By contrast, modeled nitrate sits in the top 3.1% nationally, radon resides in the top 5.7% nationally, and pfas stands in the top 9.0% nationally. Modeled transportation noise sits in the top 9.8% nationally, utility shutoff resides in the top 17% nationally, and loud transportation noise stands in the top 18% nationally.
For context, nitrate is a groundwater compound from fertilizer, manure, and sewage, here a modeled estimate of the chance private-well levels exceed a benchmark. Radon is a radioactive soil gas the EPA identifies as the top cause of lung cancer in nonsmokers. 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. The closest ZIP that ranks healthier overall is ZIP 25403, 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
Climate / Disaster Risk
healthier than 64%
5%
Healthcare Access
healthier than 84%
5%
About typical
Chronic Disease Burden
healthier than 44%
21%
Social Need / SDOH
healthier than 57%
16%
Preventive Care
healthier than 60%
13%
Disability
healthier than 48%
7%
Holding it back
Environmental Hazard
healthier than 4%
14%
Risk Behavior
healthier than 27%
11%
Mental Health
healthier than 3%
8%
Lifting this score
Chronic Disease Burden
healthier than 98%
21%
Social Need / SDOH
healthier than 85%
16%
Preventive Care
healthier than 63%
13%
Risk Behavior
healthier than 90%
11%
Disability
healthier than 94%
7%
Healthcare Access
healthier than 91%
5%
About typical
Mental Health
healthier than 58%
8%
Holding it back
Environmental Hazard
healthier than 2%
14%
Climate / Disaster Risk
healthier than 32%
5%
Lifting this score
Healthcare Access
healthier than 85%
5%
About typical
Chronic Disease Burden
healthier than 48%
21%
Preventive Care
healthier than 41%
13%
Climate / Disaster Risk
healthier than 48%
5%
Holding it back
Social Need / SDOH
healthier than 19%
16%
Environmental Hazard
in the bottom 0.00%
14%
Risk Behavior
healthier than 22%
11%
Mental Health
healthier than 11%
8%
Disability
healthier than 33%
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 77.1 ± 1.5 years. A median household income of $92,536 predicts 79.8 years — 2.7 years below.
Ranked #3,664 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
25401
West Virginiashares a border
Score 36.14
Closest healthier
25403
West Virginiashares a border
Score 45.69
Similar health profile
26323
West Virginia99% similar profile
Score 45.21
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 | 31.2% | 28.3–34.4 |
| High blood pressure among adults | 38.6% | 34.9–42.5 |
| Cancer (non-skin) or melanoma among adults | 7.7% | 7.0–8.5 |
| Current asthma among adults | 12.4% | 11.0–13.9 |
| Coronary heart disease among adults | 6.4% | 5.7–7.1 |
| Chronic obstructive pulmonary disease among adults | 8.1% | 7.2–9.1 |
| Depression among adults | 29.6% | 26.1–33.6 |
| Diagnosed diabetes among adults | 12.8% | 11.2–14.6 |
| High cholesterol among adults who have ever been screened | 38.9% | 35.2–42.9 |
| Obesity among adults | 38.4% | 32.7–44.3 |
| Stroke among adults | 3.2% | 3.0–3.5 |
| All teeth lost among adults aged >=65 years | 15.8% | 12.9–19.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.9% | 7.5–10.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 74.5% | 71.5–77.4 |
| Visits to doctor for routine checkup within the past year among adults | 79.1% | 76.0–82.4 |
| Cholesterol screening among adults | 86.3% | 84.5–88.3 |
| Colorectal cancer screening among adults aged 45–75 years | 69.0% | 64.6–73.2 |
| Visited dentist or dental clinic in the past year among adults | 57.1% | 53.4–60.7 |
| Mammography use among women aged 50-74 years | 81.0% | 75.1–86.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.2% | 12.6–18.1 |
| Current cigarette smoking among adults | 17.6% | 15.3–20.2 |
| No leisure-time physical activity among adults | 30.6% | 26.5–34.9 |
| Short sleep duration among adults | 37.9% | 32.7–43.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 22.0% | 19.5–24.9 |
| Frequent mental distress among adults | 22.1% | 19.8–24.7 |
| Frequent physical distress among adults | 15.5% | 13.8–17.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.0% | 16.1–20.2 |
| Any disability among adults | 34.8% | 30.9–38.9 |
| Hearing disability among adults | 6.7% | 6.0–7.5 |
| Independent living disability among adults | 9.3% | 8.3–10.5 |
| Mobility disability among adults | 15.1% | 13.3–17.1 |
| Self-care disability among adults | 3.7% | 3.3–4.1 |
| Vision disability among adults | 4.7% | 4.3–5.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.3% | 20.9–27.8 |
| Food insecurity in the past 12 months among adults | 15.3% | 13.1–17.7 |
| Received food stamps in the past 12 months among adults | 15.4% | 13.2–17.9 |
| Housing insecurity in the past 12 months among adults | 13.3% | 11.4–15.3 |
| Lack of reliable transportation in the past 12 months among adults | 8.7% | 7.6–9.8 |
| Loneliness among adults | 34.0% | 29.6–38.6 |
| Utility services shut-off threat in the past 12 months among adults | 11.2% | 9.7–12.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 9.3% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 6.2% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 10.9% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 20.2% | 23.3% (9.2–53.6%) n=32,505 | 14.1% (0.0–32.5%) n=695 |
| Unemployment rate (16+) | 2.6% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–17.9%) n=668 |
| Households without a vehicle | 0.9% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 95.0% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 23.7% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 87.9% | 78.7% (51.7–94.0%) n=32,322 | 84.0% (61.6–100.0%) n=694 |
| Crowded housing (>1 per room) | 1.4% | 1.3% (0.0–6.3%) n=32,322 | 0.0% (0.0–4.1%) n=694 |
| Foreign-born population | 5.2% | 2.6% (0.0–18.6%) n=32,553 | 0.0% (0.0–2.1%) n=696 |
| Single-parent households | 48.0% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 17.2% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 43.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $92,536 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $259,600 | $222,200 ($100,300–$579,820) n=30,049 | $125,600 ($66,920–$223,500) n=553 |
| Median gross rent | $1,631 | $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 | 77.1 yr ± 0.77 | 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 0.77 years of 77.1, 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