ZIP code
25107
in Hernshaw, West VirginiaPopulation 306
32.32/ 100
Ranked #30,223 of 32,066 US ZIPs (bottom 5.8%)
Ranked #431 of 697 West Virginia ZIPs (bottom 38%)
Ranked #50 of 83 Charleston, WV ZIPs (bottom 40%)
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.
Tree cover
93.2%
in the top 0.5% nationally
Higher is healthier
ST90thUS99thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Cognitive disability
21.7%
in the top 4.4% nationally
Lower is healthier
ST76thUS96thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Independent-living disability
13.4%
in the top 5.5% nationally
Lower is healthier
ST73rdUS95thDefinition & 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 ›High blood pressure
48.7%
in the top 4.9% nationally
Lower is healthier
ST67thUS95thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Tooth loss
25.4%
in the top 6.8% nationally
Lower is healthier
ST60thUS93rdDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Transportation noise
13.1%
in the top 5.5% nationally
Lower is healthier
ST96thUS95thDefinition & 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 ›High cholesterol
44.9%
in the top 4.6% nationally
Lower is healthier
ST49thUS95thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Mobility disability
22.6%
in the top 7.8% nationally
Lower is healthier
ST64thUS92ndDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Fair or poor health
29.4%
in the top 9.6% nationally
Lower is healthier
ST56thUS90thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Utility shut-off threat
13.7%
in the top 9.4% nationally
Lower is healthier
ST75thUS91stDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›The read
Hernshaw, West Virginia (ZIP 25107), on the composite measure, lands in the bottom 5.8% nationally (30,223rd) and the bottom 38% of West Virginia (431st).
The profile cuts both ways, and the readings bear that out: modeled tree cover settles in the top 0.5% nationally. Unemployment stands at the national minimum, shared with about 15% of ZIPs. Households without a vehicle is at the national minimum, shared with about 16% of ZIPs. Working the other way, modeled cognitive disability rests in the top 4.4% nationally, and independent living disability sits in the top 5.5% nationally. Modeled high blood pressure registers in the top 4.9% nationally, and tooth loss lands in the top 6.8% nationally. Modeled transportation noise resides in the top 5.5% nationally, and high cholesterol lies in the top 4.6% nationally. Modeled mobility disability settles in the top 7.8% nationally.
In everyday language, transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. A healthier neighbor overall sits at ZIP 25003, 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 Charleston, 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 67%
5%
Healthcare Access
healthier than 63%
5%
About typical
Environmental Hazard
healthier than 43%
14%
Holding it back
Chronic Disease Burden
healthier than 5%
21%
Social Need / SDOH
healthier than 27%
16%
Preventive Care
healthier than 36%
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 70%
5%
About typical
Chronic Disease Burden
healthier than 50%
21%
Social Need / SDOH
healthier than 57%
16%
Climate / Disaster Risk
healthier than 43%
5%
Holding it back
Environmental Hazard
healthier than 34%
14%
Preventive Care
healthier than 28%
13%
Risk Behavior
healthier than 37%
11%
Mental Health
healthier than 28%
8%
Disability
healthier than 32%
7%
Lifting this score
Social Need / SDOH
healthier than 65%
16%
Climate / Disaster Risk
healthier than 72%
5%
About typical
Chronic Disease Burden
healthier than 50%
21%
Risk Behavior
healthier than 43%
11%
Healthcare Access
healthier than 56%
5%
Holding it back
Environmental Hazard
healthier than 34%
14%
Preventive Care
healthier than 26%
13%
Mental Health
healthier than 30%
8%
Disability
healthier than 29%
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 ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
25003
West Virginiashares a border
Score 38.90
Closest healthier
25009
West Virginiashares a border
Score 34.38
Similar health profile
25268
West Virginia100% similar profile
Score 28.82
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 | 39.5% | 36.2–42.7 |
| High blood pressure among adults | 48.7% | 44.9–52.4 |
| Cancer (non-skin) or melanoma among adults | 9.7% | 8.7–10.7 |
| Current asthma among adults | 12.3% | 10.8–13.8 |
| Coronary heart disease among adults | 10.0% | 8.8–11.2 |
| Chronic obstructive pulmonary disease among adults | 12.9% | 11.0–14.9 |
| Depression among adults | 31.7% | 27.9–35.4 |
| Diagnosed diabetes among adults | 17.5% | 15.3–19.7 |
| High cholesterol among adults who have ever been screened | 44.9% | 41.0–48.4 |
| Obesity among adults | 42.5% | 37.2–47.5 |
| Stroke among adults | 4.9% | 4.3–5.5 |
| All teeth lost among adults aged >=65 years | 25.4% | 21.8–29.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.6% | 7.6–12.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.5% | 76.8–81.9 |
| Visits to doctor for routine checkup within the past year among adults | 80.5% | 77.4–83.5 |
| Cholesterol screening among adults | 85.3% | 83.2–87.5 |
| Colorectal cancer screening among adults aged 45–75 years | 62.2% | 58.3–66.0 |
| Visited dentist or dental clinic in the past year among adults | 55.9% | 52.8–59.2 |
| Mammography use among women aged 50-74 years | 72.5% | 66.7–78.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.5% | 12.0–17.1 |
| Current cigarette smoking among adults | 24.7% | 21.0–28.5 |
| No leisure-time physical activity among adults | 37.6% | 32.8–42.4 |
| Short sleep duration among adults | 39.8% | 35.9–44.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 29.4% | 25.5–33.4 |
| Frequent mental distress among adults | 23.0% | 20.4–25.8 |
| Frequent physical distress among adults | 19.5% | 17.0–22.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 21.7% | 19.0–24.7 |
| Any disability among adults | 45.0% | 40.4–49.7 |
| Hearing disability among adults | 10.1% | 8.9–11.4 |
| Independent living disability among adults | 13.4% | 11.6–15.4 |
| Mobility disability among adults | 22.6% | 19.6–25.7 |
| Self-care disability among adults | 5.7% | 4.9–6.6 |
| Vision disability among adults | 7.2% | 6.3–8.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.6% | 22.3–29.2 |
| Food insecurity in the past 12 months among adults | 21.6% | 18.1–25.3 |
| Received food stamps in the past 12 months among adults | 23.5% | 19.6–27.5 |
| Housing insecurity in the past 12 months among adults | 14.9% | 12.7–17.4 |
| Lack of reliable transportation in the past 12 months among adults | 10.5% | 9.1–12.1 |
| Loneliness among adults | 35.0% | 30.9–39.0 |
| Utility services shut-off threat in the past 12 months among adults | 13.7% | 11.9–15.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 9.2% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 17.3% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 20.8% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 11.5% | 23.3% (9.2–53.6%) n=32,505 | 14.1% (0.0–32.5%) n=695 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–17.9%) n=668 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 80.1% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 22.8% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 83.0% | 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 | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 0.0% (0.0–2.1%) n=696 |
| Single-parent households | 57.9% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 37.6% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 54.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | — | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $90,000 | $222,200 ($100,300–$579,820) n=30,049 | $125,600 ($66,920–$223,500) n=553 |
| Median gross rent | $586 | $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 | 76.2 yr ± 0.56 | 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 0.56 years of 76.2, 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