ZIP code
25571
in West Hamlin, West VirginiaPopulation 1,365
30.04/ 100
Ranked #30,756 of 32,066 US ZIPs (bottom 4.1%)
Ranked #511 of 697 West Virginia ZIPs (bottom 27%)
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.
Mental-health provider access
0.5 per 1,000 residents
in the top 0.9% nationally
Higher is healthier
ST99thUS99thDefinition & 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 ›Grocery access
0.5 per 1,000 residents
in the top 1.6% nationally
Higher is healthier
ST96thUS98thDefinition & source ›
The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Tooth loss
28.9%
in the top 3.8% nationally
Lower is healthier
ST76thUS96thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Tree cover
86.5%
in the top 2.5% nationally
Higher is healthier
ST62ndUS98thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Short sleep
44.1%
in the top 4.4% nationally
Lower is healthier
ST73rdUS96thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Independent-living disability
13.5%
in the top 5.2% nationally
Lower is healthier
ST74thUS95thDefinition & 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 ›Cognitive disability
21.5%
in the top 4.8% nationally
Lower is healthier
ST73rdUS95thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Industrial-pollution burden
in the top 4.9% nationally
Lower is healthier
ST95thUS95thDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›Fair or poor health
30.9%
in the top 6.8% nationally
Lower is healthier
ST69thUS93rdDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Pharmacy access
0.5 per 1,000 residents
in the top 5.1% nationally
Higher is healthier
ST89thUS95thDefinition & source ›
The number of pharmacies 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 ›The read
On the composite measure, West Hamlin, West Virginia (ZIP 25571) stands in the bottom 4.1% nationally (30,756th) and the bottom 27% of West Virginia (511th).
The weightiest signals in the profile are worth naming up front: modeled tooth loss is in the top 3.8% nationally, and short sleep registers in the top 4.4% nationally. Modeled independent living disability lies in the top 5.2% nationally, and cognitive disability is in the top 4.8% nationally. Modeled industrial-pollution burden registers in the top 4.9% nationally, and fair or poor health lies in the top 6.8% nationally. More positively, mental-health providers is in the top 0.9% nationally, grocery registers in the top 1.6% nationally, and modeled tree cover lies in the top 2.5% nationally. Pharmacy is in the top 5.1% nationally.
For clarity, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. ZIP 25523, just across the boundary, ranks better overall among the ZIPs nearby.
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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Healthcare Access
healthier than 66%
5%
About typical
Environmental Hazard
healthier than 41%
14%
Climate / Disaster Risk
healthier than 56%
5%
Holding it back
Chronic Disease Burden
healthier than 3%
21%
Social Need / SDOH
healthier than 18%
16%
Preventive Care
healthier than 31%
13%
Risk Behavior
healthier than 4%
11%
Mental Health
healthier than 1%
8%
Disability
healthier than 8%
7%
Lifting this score
Healthcare Access
healthier than 73%
5%
About typical
Social Need / SDOH
healthier than 43%
16%
Holding it back
Chronic Disease Burden
healthier than 34%
21%
Environmental Hazard
healthier than 32%
14%
Preventive Care
healthier than 20%
13%
Risk Behavior
healthier than 36%
11%
Mental Health
healthier than 25%
8%
Disability
healthier than 31%
7%
Climate / Disaster Risk
healthier than 16%
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
25506
West Virginiashares a border
Score 28.80
Closest healthier
25523
West Virginiashares a border
Score 31.67
Similar health profile
25107
West Virginia100% similar profile
Score 32.32
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 | 42.0% | 38.1–45.8 |
| High blood pressure among adults | 47.0% | 42.3–51.4 |
| Cancer (non-skin) or melanoma among adults | 9.9% | 8.9–11.0 |
| Current asthma among adults | 13.0% | 11.4–14.7 |
| Coronary heart disease among adults | 10.3% | 9.2–11.5 |
| Chronic obstructive pulmonary disease among adults | 13.8% | 12.2–15.6 |
| Depression among adults | 32.7% | 28.2–37.1 |
| Diagnosed diabetes among adults | 18.2% | 15.8–20.7 |
| High cholesterol among adults who have ever been screened | 43.4% | 38.9–47.9 |
| Obesity among adults | 45.2% | 37.2–53.1 |
| Stroke among adults | 5.0% | 4.6–5.6 |
| All teeth lost among adults aged >=65 years | 28.9% | 24.4–33.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.1% | 8.3–12.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.2% | 78.5–83.7 |
| Visits to doctor for routine checkup within the past year among adults | 81.4% | 77.9–84.5 |
| Cholesterol screening among adults | 85.7% | 83.5–87.8 |
| Colorectal cancer screening among adults aged 45–75 years | 61.9% | 56.7–66.8 |
| Visited dentist or dental clinic in the past year among adults | 45.0% | 41.2–48.9 |
| Mammography use among women aged 50-74 years | 72.4% | 64.4–79.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.7% | 10.2–15.5 |
| Current cigarette smoking among adults | 24.5% | 21.1–28.0 |
| No leisure-time physical activity among adults | 36.1% | 30.8–41.6 |
| Short sleep duration among adults | 44.1% | 37.6–50.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 30.9% | 27.3–34.9 |
| Frequent mental distress among adults | 22.6% | 20.1–25.2 |
| Frequent physical distress among adults | 20.7% | 18.2–23.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 21.5% | 19.0–24.3 |
| Any disability among adults | 44.0% | 39.1–49.1 |
| Hearing disability among adults | 10.4% | 9.2–11.7 |
| Independent living disability among adults | 13.5% | 11.9–15.2 |
| Mobility disability among adults | 22.3% | 19.5–25.2 |
| Self-care disability among adults | 5.9% | 5.2–6.6 |
| Vision disability among adults | 7.3% | 6.5–8.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.9% | 20.2–27.8 |
| Food insecurity in the past 12 months among adults | 20.2% | 16.9–23.8 |
| Received food stamps in the past 12 months among adults | 24.0% | 20.5–28.0 |
| Housing insecurity in the past 12 months among adults | 14.5% | 12.2–17.0 |
| Lack of reliable transportation in the past 12 months among adults | 10.5% | 9.0–12.1 |
| Loneliness among adults | 34.8% | 29.6–40.3 |
| Utility services shut-off threat in the past 12 months among adults | 12.9% | 11.2–15.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 21.9% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 12.3% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 12.1% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 7.7% | 23.3% (9.2–53.6%) n=32,505 | 14.1% (0.0–32.5%) n=695 |
| Unemployment rate (16+) | 1.1% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–17.9%) n=668 |
| Households without a vehicle | 2.7% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 91.7% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 11.7% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 59.8% | 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 | 0.3% | 2.6% (0.0–18.6%) n=32,553 | 0.0% (0.0–2.1%) n=696 |
| Single-parent households | 44.6% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 14.9% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 33.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $49,201 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $116,300 | $222,200 ($100,300–$579,820) n=30,049 | $125,600 ($66,920–$223,500) n=553 |
| Median gross rent | $768 | $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 | 73.9 yr ± 1.28 | 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 1.28 years of 73.9, 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