ZIP code
25160
in Pond Gap, West VirginiaPopulation 510
33.96/ 100
Ranked #29,753 of 32,066 US ZIPs (bottom 7.3%)
Ranked #375 of 697 West Virginia ZIPs (bottom 46%)
Ranked #40 of 83 Charleston, WV ZIPs (top 48%)
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
92.9%
in the top 0.6% nationally
Higher is healthier
ST89thUS99thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Home broadband subscription
45.4%
in the bottom 1.2% nationally
Higher is healthier
ST4thUS1stDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Transportation noise
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & 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 ›Slow internet speeds
4.4%
in the top 2.8% nationally
Lower is healthier
ST99thUS97thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Lead in tap water
0 ppb
at the national minimum
Lower is healthier
US1stDefinition & source ›
The lead level at the 90th percentile of tap-water samples reported by the public water systems serving this ZIP, in parts per billion — the EPA requires action above 15 ppb.
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 ›Cognitive disability
21.1%
in the top 5.8% nationally
Lower is healthier
ST68thUS94thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›High cholesterol
45%
in the top 4.4% nationally
Lower is healthier
ST51stUS96thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›High blood pressure
47.5%
in the top 6.8% nationally
Lower is healthier
ST55thUS93rdDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Independent-living disability
12.5%
in the top 8.8% nationally
Lower is healthier
ST58thUS91stDefinition & 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 ›Housing-cost burden
9.2%
in the bottom 8.5% nationally
Lower is healthier
ST28thUS8thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›The read
In its overall standing, Pond Gap, West Virginia (ZIP 25160) lands in the bottom 7.3% nationally (29,753rd) and the bottom 46% of West Virginia (375th).
Reading across the data, the real pressures come first: home broadband subscription resides in the bottom 1.2% nationally, slow internet speeds settles in the top 2.8% nationally, and modeled cognitive disability is in the top 5.8% nationally. Modeled high cholesterol sits in the top 4.4% nationally, high blood pressure lands in the top 6.8% nationally, and independent living disability lies in the top 8.8% nationally. More encouragingly, modeled tree cover stands in the top 0.6% nationally, and transportation noise rests at the national minimum. Lead in tap water registers at the national minimum. Households without a vehicle resides at the national minimum, shared with about 16% of ZIPs.
Against the wider neighborhood, slow internet speeds runs far higher than the surrounding ZIPs on this measure. Put simply, lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. On the overall standing, ZIP 25185, about 0.7 miles away, ranks healthier.
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
Environmental Hazard
healthier than 94%
14%
Climate / Disaster Risk
healthier than 66%
5%
About typical
Preventive Care
healthier than 56%
13%
Healthcare Access
healthier than 51%
5%
Holding it back
Chronic Disease Burden
healthier than 7%
21%
Social Need / SDOH
healthier than 10%
16%
Risk Behavior
healthier than 3%
11%
Mental Health
in the bottom 0.9%
8%
Disability
healthier than 14%
7%
Lifting this score
Chronic Disease Burden
healthier than 61%
21%
Environmental Hazard
healthier than 94%
14%
About typical
Preventive Care
healthier than 58%
13%
Disability
healthier than 53%
7%
Climate / Disaster Risk
healthier than 42%
5%
Healthcare Access
healthier than 46%
5%
Holding it back
Social Need / SDOH
healthier than 26%
16%
Risk Behavior
healthier than 25%
11%
Mental Health
healthier than 18%
8%
Lifting this score
Chronic Disease Burden
healthier than 62%
21%
Environmental Hazard
healthier than 93%
14%
Climate / Disaster Risk
healthier than 70%
5%
About typical
Preventive Care
healthier than 60%
13%
Disability
healthier than 57%
7%
Healthcare Access
healthier than 43%
5%
Holding it back
Social Need / SDOH
healthier than 22%
16%
Risk Behavior
healthier than 18%
11%
Mental Health
healthier than 16%
8%
“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
25036
West Virginiashares a border
Score 32.58
Closest healthier
25185
West Virginiaabout 0.7 mi away
Score 37.39
Similar health profile
25285
West Virginia100% similar profile
Score 36.30
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 | 40.5% | 36.7–44.2 |
| High blood pressure among adults | 47.5% | 43.3–51.5 |
| Cancer (non-skin) or melanoma among adults | 9.1% | 8.0–10.1 |
| Current asthma among adults | 12.9% | 11.4–14.7 |
| Coronary heart disease among adults | 8.3% | 7.2–9.6 |
| Chronic obstructive pulmonary disease among adults | 12.0% | 9.8–14.3 |
| Depression among adults | 32.9% | 29.0–36.8 |
| Diagnosed diabetes among adults | 16.5% | 14.2–19.1 |
| High cholesterol among adults who have ever been screened | 45.0% | 41.1–49.1 |
| Obesity among adults | 43.3% | 37.8–48.6 |
| Stroke among adults | 4.3% | 3.7–5.0 |
| All teeth lost among adults aged >=65 years | 23.4% | 19.9–27.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.7% | 6.5–11.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.4% | 76.1–82.4 |
| Visits to doctor for routine checkup within the past year among adults | 81.2% | 77.9–84.2 |
| Cholesterol screening among adults | 88.0% | 85.8–90.1 |
| Colorectal cancer screening among adults aged 45–75 years | 61.8% | 57.7–65.9 |
| Visited dentist or dental clinic in the past year among adults | 58.8% | 55.5–62.1 |
| Mammography use among women aged 50-74 years | 76.3% | 70.5–81.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.2% | 11.7–16.8 |
| Current cigarette smoking among adults | 26.1% | 21.4–30.5 |
| No leisure-time physical activity among adults | 37.0% | 31.5–42.3 |
| Short sleep duration among adults | 41.7% | 37.5–46.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 28.3% | 23.5–33.3 |
| Frequent mental distress among adults | 23.5% | 20.7–26.3 |
| Frequent physical distress among adults | 19.7% | 16.8–22.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 21.1% | 17.8–24.5 |
| Any disability among adults | 42.4% | 37.1–47.4 |
| Hearing disability among adults | 8.3% | 7.2–9.5 |
| Independent living disability among adults | 12.5% | 10.4–14.8 |
| Mobility disability among adults | 21.6% | 17.9–25.3 |
| Self-care disability among adults | 5.4% | 4.4–6.5 |
| Vision disability among adults | 6.3% | 5.2–7.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 26.4% | 22.5–30.3 |
| Food insecurity in the past 12 months among adults | 20.5% | 16.1–25.4 |
| Received food stamps in the past 12 months among adults | 21.4% | 16.6–26.7 |
| Housing insecurity in the past 12 months among adults | 15.3% | 12.4–18.5 |
| Lack of reliable transportation in the past 12 months among adults | 9.5% | 7.8–11.5 |
| Loneliness among adults | 35.4% | 31.1–39.7 |
| Utility services shut-off threat in the past 12 months among adults | 13.3% | 11.2–15.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 9.6% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 9.7% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 23.9% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 5.0% | 23.3% (9.2–53.6%) n=32,505 | 14.1% (0.0–32.5%) n=695 |
| Unemployment rate (16+) | 0.9% | 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 | 45.4% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 9.2% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 90.8% | 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 | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 0.0% (0.0–2.1%) n=696 |
| Single-parent households | 68.3% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 35.9% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 52.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $44,066 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $28,300 | $222,200 ($100,300–$579,820) n=30,049 | $125,600 ($66,920–$223,500) n=553 |
| Median gross rent | — | $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 | 82.3 yr ± 2.74 | 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 2.74 years of 82.3, 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