ZIP code
25110
in Hugheston, West VirginiaPopulation 366
33.81/ 100
Ranked #29,801 of 32,066 US ZIPs (bottom 7.1%)
Ranked #380 of 697 West Virginia ZIPs (bottom 45%)
Ranked #41 of 83 Charleston, WV ZIPs (top 49%)
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.
High cholesterol
48.4%
in the top 0.7% nationally
Lower is healthier
ST94thUS99thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›High blood pressure
51.9%
in the top 2.0% nationally
Lower is healthier
ST90thUS98thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Poverty rate
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Coronary heart disease
11.5%
in the top 2.8% nationally
Lower is healthier
ST82ndUS97thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Homeownership rate
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Mobility disability
24.8%
in the top 3.8% nationally
Lower is healthier
ST80thUS96thDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Home broadband subscription
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Diabetes
19%
in the top 5.6% nationally
Lower is healthier
ST71stUS94thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
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 ›Tree cover
80.5%
in the top 4.8% nationally
Higher is healthier
ST43rdUS95thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›The read
Hugheston, West Virginia (ZIP 25110), on the composite measure, lands in the bottom 7.1% nationally (29,801st) and the bottom 45% of West Virginia (380th).
The main burdens in the data show plainly and lead the picture: modeled high cholesterol registers in the top 0.7% nationally, high blood pressure lands in the top 2.0% nationally, and coronary heart disease resides in the top 2.8% nationally. Modeled mobility disability lies in the top 3.8% nationally, and diabetes settles in the top 5.6% nationally. More positively, poverty stands at the national minimum, and homeownership is at the national maximum. Home broadband subscription rests at the national maximum, and lead in tap water sits at the national minimum. Modeled tree cover registers in the top 4.8% nationally.
Set against the neighboring ZIPs, outer-floodplain exposure runs far lower than the surrounding ZIPs on this measure. In everyday language, lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. A healthier neighbor overall sits at ZIP 25160, 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
Preventive Care
healthier than 74%
13%
Climate / Disaster Risk
healthier than 67%
5%
Healthcare Access
healthier than 87%
5%
About typical
Environmental Hazard
healthier than 49%
14%
Holding it back
Chronic Disease Burden
healthier than 2%
21%
Social Need / SDOH
healthier than 28%
16%
Risk Behavior
healthier than 11%
11%
Mental Health
healthier than 3%
8%
Disability
healthier than 7%
7%
Lifting this score
Preventive Care
healthier than 85%
13%
Risk Behavior
healthier than 69%
11%
Healthcare Access
healthier than 93%
5%
About typical
Social Need / SDOH
healthier than 58%
16%
Mental Health
healthier than 54%
8%
Climate / Disaster Risk
healthier than 43%
5%
Holding it back
Chronic Disease Burden
healthier than 23%
21%
Environmental Hazard
healthier than 40%
14%
Disability
healthier than 30%
7%
Lifting this score
Social Need / SDOH
healthier than 68%
16%
Preventive Care
healthier than 89%
13%
Risk Behavior
healthier than 82%
11%
Mental Health
healthier than 72%
8%
Climate / Disaster Risk
healthier than 74%
5%
Healthcare Access
healthier than 90%
5%
Holding it back
Chronic Disease Burden
healthier than 16%
21%
Environmental Hazard
healthier than 39%
14%
Disability
healthier than 27%
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
25036
West Virginiashares a border
Score 32.58
Closest healthier
25160
West Virginiashares a border
Score 33.96
Similar health profile
26384
West Virginia100% similar profile
Score 36.70
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 | 44.3% | 40.9–47.9 |
| High blood pressure among adults | 51.9% | 48.1–55.6 |
| Cancer (non-skin) or melanoma among adults | 11.8% | 10.6–13.2 |
| Current asthma among adults | 12.5% | 11.0–14.2 |
| Coronary heart disease among adults | 11.5% | 10.1–13.3 |
| Chronic obstructive pulmonary disease among adults | 13.7% | 11.5–16.3 |
| Depression among adults | 30.6% | 26.9–34.4 |
| Diagnosed diabetes among adults | 19.0% | 16.6–21.8 |
| High cholesterol among adults who have ever been screened | 48.4% | 44.4–52.2 |
| Obesity among adults | 40.6% | 35.4–45.8 |
| Stroke among adults | 5.5% | 4.8–6.4 |
| All teeth lost among adults aged >=65 years | 24.5% | 20.9–28.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.6% | 7.4–12.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 83.2% | 80.7–85.2 |
| Visits to doctor for routine checkup within the past year among adults | 83.1% | 80.1–85.6 |
| Cholesterol screening among adults | 88.2% | 86.2–89.9 |
| Colorectal cancer screening among adults aged 45–75 years | 71.2% | 67.3–74.9 |
| Visited dentist or dental clinic in the past year among adults | 59.1% | 55.9–62.4 |
| Mammography use among women aged 50-74 years | 72.8% | 66.4–78.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.3% | 10.1–14.6 |
| Current cigarette smoking among adults | 22.1% | 18.5–25.9 |
| No leisure-time physical activity among adults | 38.7% | 33.5–44.5 |
| Short sleep duration among adults | 39.1% | 35.3–43.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 29.5% | 25.3–34.2 |
| Frequent mental distress among adults | 21.6% | 19.2–24.3 |
| Frequent physical distress among adults | 20.1% | 17.5–23.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 20.5% | 17.7–23.6 |
| Any disability among adults | 46.9% | 42.0–51.9 |
| Hearing disability among adults | 11.5% | 10.1–13.3 |
| Independent living disability among adults | 13.0% | 11.1–15.2 |
| Mobility disability among adults | 24.8% | 21.3–28.7 |
| Self-care disability among adults | 5.5% | 4.7–6.6 |
| Vision disability among adults | 6.9% | 5.9–8.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 26.2% | 22.8–29.7 |
| Food insecurity in the past 12 months among adults | 19.1% | 15.7–22.6 |
| Received food stamps in the past 12 months among adults | 19.2% | 15.8–22.8 |
| Housing insecurity in the past 12 months among adults | 13.2% | 11.1–15.4 |
| Lack of reliable transportation in the past 12 months among adults | 9.1% | 7.7–10.5 |
| Loneliness among adults | 35.6% | 31.5–39.7 |
| Utility services shut-off threat in the past 12 months among adults | 11.1% | 9.4–12.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 0.0% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 0.0% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 0.0% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 0.0% | 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 | 100.0% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 7.9% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 100.0% | 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 | 64.5% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 60.7% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 65.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $56,037 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | — | $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