ZIP code
25401
in Martinsburg, West VirginiaPopulation 14,979
36.14/ 100
Ranked #28,934 of 32,066 US ZIPs (bottom 9.8%)
Ranked #282 of 697 West Virginia ZIPs (top 40%)
Ranked #27 of 28 Hagerstown-Martinsburg, MD-WV ZIPs (bottom 3.6%)
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.
Physician access
4.4 per 1,000 residents
in the top 1.7% nationally
Higher is healthier
ST99thUS98thDefinition & source ›
The number of physicians’ offices 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 ›Dental provider access
1.5 per 1,000 residents
in the top 2.4% nationally
Higher is healthier
ST99thUS98thDefinition & source ›
The number of dental offices 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 ›Mental-health provider access
0.27 per 1,000 residents
in the top 2.6% nationally
Higher is healthier
ST98thUS97thDefinition & 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 ›Subsidized affordable housing
670 units
in the top 3.0% nationally
Higher is healthier
ST99thUS97thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Outpatient-care access
0.73 per 1,000 residents
in the top 3.7% nationally
Higher is healthier
ST95thUS96thDefinition & source ›
The number of outpatient 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 ›Cognitive disability
21.2%
in the top 5.5% nationally
Lower is healthier
ST70thUS95thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›PFAS in drinking water
100%
at the national maximum
Lower is healthier
ST99thUS99thDefinition & 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 ›Utility shut-off threat
15.8%
in the top 5.9% nationally
Lower is healthier
ST88thUS94thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Independent-living disability
12.8%
in the top 7.5% nationally
Lower is healthier
ST64thUS93rdDefinition & 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 ›Walkability
120 intersections/sq mi
in the top 7.5% nationally
Higher is healthier
ST98thUS93rdDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›The read
ZIP 25401, one of several in Martinsburg, West Virginia ranks in the bottom 9.8% nationally (28,934th) and the top 40% of West Virginia (282nd).
The weightiest signals in the profile are worth naming up front: modeled cognitive disability lies in the top 5.5% nationally, and PFAS in drinking water is at the national maximum. Modeled utility shutoff registers in the top 5.9% nationally, and independent living disability lies in the top 7.5% nationally. More positively, physicians is in the top 1.7% nationally, dental providers registers in the top 2.4% nationally, and mental-health providers lies in the top 2.6% nationally. Subsidized affordable housing is in the top 3.0% nationally, and outpatient registers in the top 3.7% nationally. Distance to an emergency room lies at the national minimum, shared with about 11% of ZIPs.
Against its neighbors, walkability runs far higher than the surrounding ZIPs on this measure. For context, PFAS in drinking water is the family of man-made "forever chemicals" that build up in the body and environment instead of breaking down. Subsidized affordable housing is the main federal tax-credit program (HUD) funding affordable rental housing, counted as local units it supports. 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
Social Need / SDOH
healthier than 62%
16%
Climate / Disaster Risk
healthier than 62%
5%
Healthcare Access
healthier than 88%
5%
Holding it back
Chronic Disease Burden
healthier than 11%
21%
Environmental Hazard
healthier than 14%
14%
Preventive Care
healthier than 38%
13%
Risk Behavior
healthier than 11%
11%
Mental Health
healthier than 1%
8%
Disability
healthier than 12%
7%
Lifting this score
Chronic Disease Burden
healthier than 77%
21%
Social Need / SDOH
healthier than 89%
16%
Risk Behavior
healthier than 71%
11%
Healthcare Access
healthier than 93%
5%
About typical
Disability
healthier than 46%
7%
Holding it back
Environmental Hazard
healthier than 8%
14%
Preventive Care
healthier than 30%
13%
Mental Health
healthier than 28%
8%
Climate / Disaster Risk
healthier than 27%
5%
Lifting this score
Healthcare Access
healthier than 89%
5%
About typical
Climate / Disaster Risk
healthier than 41%
5%
Holding it back
Chronic Disease Burden
healthier than 7%
21%
Social Need / SDOH
healthier than 33%
16%
Environmental Hazard
healthier than 33%
14%
Preventive Care
healthier than 11%
13%
Risk Behavior
healthier than 7%
11%
Mental Health
in the bottom 0.00%
8%
Disability
healthier than 4%
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
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 72.8 ± 1.5 years. A median household income of $51,909 predicts 77.5 years — 4.7 years below.
Ranked #5,437 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 72.8 ± 1.5 years. The 48 nearest ZIP codes with estimates average 78.5 years — 5.8 years below them.
Ranked #3,511 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
25403
West Virginiashares a border
Score 45.69
Closest healthier
25404
West Virginiashares a border
Score 42.05
Similar health profile
37643
Tennessee100% similar profile
Score 37.86
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 | 35.6% | 32.6–38.9 |
| High blood pressure among adults | 44.3% | 40.7–48.2 |
| Cancer (non-skin) or melanoma among adults | 8.2% | 7.4–9.0 |
| Current asthma among adults | 13.2% | 11.7–14.9 |
| Coronary heart disease among adults | 8.6% | 7.8–9.6 |
| Chronic obstructive pulmonary disease among adults | 11.5% | 10.2–13.0 |
| Depression among adults | 30.7% | 27.1–34.8 |
| Diagnosed diabetes among adults | 17.0% | 15.1–19.2 |
| High cholesterol among adults who have ever been screened | 41.3% | 37.6–45.3 |
| Obesity among adults | 42.3% | 36.7–48.5 |
| Stroke among adults | 4.5% | 4.2–5.0 |
| All teeth lost among adults aged >=65 years | 22.1% | 18.4–26.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.9% | 9.2–12.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.3% | 74.7–79.8 |
| Visits to doctor for routine checkup within the past year among adults | 80.4% | 77.3–83.4 |
| Cholesterol screening among adults | 85.0% | 83.2–86.9 |
| Colorectal cancer screening among adults aged 45–75 years | 65.5% | 60.9–69.9 |
| Visited dentist or dental clinic in the past year among adults | 50.5% | 46.9–54.3 |
| Mammography use among women aged 50-74 years | 76.7% | 69.9–82.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.9% | 10.6–15.4 |
| Current cigarette smoking among adults | 21.4% | 18.6–24.4 |
| No leisure-time physical activity among adults | 37.8% | 33.4–42.9 |
| Short sleep duration among adults | 39.2% | 34.1–44.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 29.0% | 25.9–32.5 |
| Frequent mental distress among adults | 23.7% | 21.3–26.4 |
| Frequent physical distress among adults | 18.7% | 16.7–21.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 21.2% | 18.9–23.8 |
| Any disability among adults | 41.7% | 37.5–46.3 |
| Hearing disability among adults | 8.5% | 7.6–9.7 |
| Independent living disability among adults | 12.8% | 11.4–14.3 |
| Mobility disability among adults | 20.9% | 18.6–23.5 |
| Self-care disability among adults | 5.6% | 5.0–6.2 |
| Vision disability among adults | 7.2% | 6.6–8.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.8% | 21.2–28.5 |
| Food insecurity in the past 12 months among adults | 22.9% | 19.8–26.0 |
| Received food stamps in the past 12 months among adults | 26.1% | 22.9–29.3 |
| Housing insecurity in the past 12 months among adults | 17.4% | 15.1–19.9 |
| Lack of reliable transportation in the past 12 months among adults | 12.2% | 10.7–13.7 |
| Loneliness among adults | 34.6% | 30.1–39.2 |
| Utility services shut-off threat in the past 12 months among adults | 15.8% | 13.9–17.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 19.5% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 9.0% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 12.3% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 24.8% | 23.3% (9.2–53.6%) n=32,505 | 14.1% (0.0–32.5%) n=695 |
| Unemployment rate (16+) | 5.6% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–17.9%) n=668 |
| Households without a vehicle | 12.6% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 91.4% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 34.7% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 52.6% | 78.7% (51.7–94.0%) n=32,322 | 84.0% (61.6–100.0%) n=694 |
| Crowded housing (>1 per room) | 2.3% | 1.3% (0.0–6.3%) n=32,322 | 0.0% (0.0–4.1%) n=694 |
| Foreign-born population | 7.0% | 2.6% (0.0–18.6%) n=32,553 | 0.0% (0.0–2.1%) n=696 |
| Single-parent households | 49.2% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 17.3% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 38.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $51,909 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $229,200 | $222,200 ($100,300–$579,820) n=30,049 | $125,600 ($66,920–$223,500) n=553 |
| Median gross rent | $1,101 | $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 | 72.8 yr ± 0.74 | 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 0.74 years of 72.8, 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