ZIP code
25855
in Hilltop, West VirginiaPopulation 339
32.50/ 100
Ranked #30,174 of 32,066 US ZIPs (bottom 6.0%)
Ranked #425 of 697 West Virginia ZIPs (bottom 39%)
Ranked #33 of 75 Beckley, WV ZIPs (top 44%)
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.
Unemployment rate
37.2%
in the top 0.5% nationally
Lower is healthier
ST97thUS99thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›High cholesterol
49.6%
in the top 0.4% nationally
Lower is healthier
ST98thUS99thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Coronary heart disease
12.3%
in the top 1.4% nationally
Lower is healthier
ST91stUS99thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Diabetes
21%
in the top 2.5% nationally
Lower is healthier
ST88thUS98thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Households without a vehicle
39.8%
in the top 1.5% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Loud transportation noise
4.5%
in the top 1.7% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 65 decibels — around the volume of normal conversation.
Full methodology ›Mobility disability
25.3%
in the top 3.1% nationally
Lower is healthier
ST83rdUS97thDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›High blood pressure
51.4%
in the top 2.3% nationally
Lower is healthier
ST88thUS98thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Hearing disability
12.6%
in the top 2.8% nationally
Lower is healthier
ST95thUS97thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Short sleep
44.8%
in the top 3.4% nationally
Lower is healthier
ST80thUS97thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›The read
Hilltop, West Virginia (ZIP 25855) ranks in the bottom 6.0% nationally (30,174th) and the bottom 39% of West Virginia (425th).
A number of readings press hard on the profile and set its tone: unemployment registers in the top 0.5% nationally, and modeled high cholesterol lies in the top 0.4% nationally. Modeled coronary heart disease is in the top 1.4% nationally, and diabetes registers in the top 2.5% nationally. Households without a vehicle lies in the top 1.5% nationally, modeled loud transportation noise is in the top 1.7% nationally, and modeled mobility disability registers in the top 3.1% nationally. Modeled high blood pressure lies in the top 2.3% nationally, hearing disability is in the top 2.8% nationally, and short sleep registers in the top 3.4% nationally.
Against its neighbors, unemployment runs far higher than the surrounding ZIPs on this measure. For context, loud transportation noise is the modeled share of an area exposed to road, rail, and air noise at or above 65 decibels, near conversation volume. The closest ZIP that ranks healthier overall is ZIP 25901, 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 Beckley, 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 84%
13%
Climate / Disaster Risk
healthier than 85%
5%
Healthcare Access
healthier than 63%
5%
Holding it back
Chronic Disease Burden
healthier than 1%
21%
Social Need / SDOH
healthier than 7%
16%
Environmental Hazard
healthier than 39%
14%
Risk Behavior
healthier than 9%
11%
Mental Health
healthier than 6%
8%
Disability
healthier than 6%
7%
Lifting this score
Preventive Care
healthier than 96%
13%
Risk Behavior
healthier than 61%
11%
Mental Health
healthier than 81%
8%
Climate / Disaster Risk
healthier than 90%
5%
Healthcare Access
healthier than 69%
5%
Holding it back
Chronic Disease Burden
healthier than 17%
21%
Social Need / SDOH
healthier than 17%
16%
Environmental Hazard
healthier than 30%
14%
Disability
healthier than 25%
7%
Lifting this score
Preventive Care
healthier than 96%
13%
Risk Behavior
healthier than 88%
11%
Mental Health
healthier than 86%
8%
Climate / Disaster Risk
healthier than 78%
5%
Healthcare Access
healthier than 68%
5%
Holding it back
Chronic Disease Burden
healthier than 23%
21%
Social Need / SDOH
healthier than 33%
16%
Environmental Hazard
healthier than 16%
14%
Disability
healthier than 33%
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
25901
West Virginiashares a border
Score 34.94
Closest healthier
25917
West Virginiashares a border
Score 34.72
Similar health profile
25857
West Virginia99% similar profile
Score 33.06
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 | 46.2% | 42.2–49.9 |
| High blood pressure among adults | 51.4% | 47.1–55.4 |
| Cancer (non-skin) or melanoma among adults | 12.5% | 11.2–13.8 |
| Current asthma among adults | 12.7% | 11.2–14.2 |
| Coronary heart disease among adults | 12.3% | 10.8–14.0 |
| Chronic obstructive pulmonary disease among adults | 14.2% | 11.9–16.7 |
| Depression among adults | 29.7% | 25.9–33.7 |
| Diagnosed diabetes among adults | 21.0% | 18.2–23.7 |
| High cholesterol among adults who have ever been screened | 49.6% | 45.3–53.9 |
| Obesity among adults | 40.0% | 33.5–46.3 |
| Stroke among adults | 5.9% | 5.1–6.8 |
| All teeth lost among adults aged >=65 years | 18.0% | 14.9–21.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.3% | 6.3–10.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 84.5% | 82.0–86.6 |
| Visits to doctor for routine checkup within the past year among adults | 83.2% | 80.1–85.8 |
| Cholesterol screening among adults | 89.2% | 87.2–90.9 |
| Colorectal cancer screening among adults aged 45–75 years | 68.5% | 63.9–72.6 |
| Visited dentist or dental clinic in the past year among adults | 54.1% | 50.1–57.8 |
| Mammography use among women aged 50-74 years | 80.0% | 74.0–85.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 11.0% | 9.0–13.3 |
| Current cigarette smoking among adults | 20.6% | 16.7–24.2 |
| No leisure-time physical activity among adults | 38.0% | 32.0–43.5 |
| Short sleep duration among adults | 44.8% | 39.0–50.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 31.2% | 26.5–35.9 |
| Frequent mental distress among adults | 20.4% | 17.9–22.8 |
| Frequent physical distress among adults | 20.4% | 17.6–23.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 19.0% | 16.3–21.8 |
| Any disability among adults | 46.9% | 41.5–52.1 |
| Hearing disability among adults | 12.6% | 11.0–14.2 |
| Independent living disability among adults | 12.9% | 10.9–15.0 |
| Mobility disability among adults | 25.3% | 21.6–29.1 |
| Self-care disability among adults | 6.0% | 5.0–7.0 |
| Vision disability among adults | 7.4% | 6.3–8.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.7% | 19.8–27.5 |
| Food insecurity in the past 12 months among adults | 17.2% | 13.8–20.9 |
| Received food stamps in the past 12 months among adults | 19.8% | 15.9–24.0 |
| Housing insecurity in the past 12 months among adults | 12.3% | 10.1–14.6 |
| Lack of reliable transportation in the past 12 months among adults | 9.4% | 7.9–11.0 |
| Loneliness among adults | 35.0% | 30.0–40.0 |
| Utility services shut-off threat in the past 12 months among adults | 11.1% | 9.4–12.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 11.8% | 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+) | 19.9% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 10.3% | 23.3% (9.2–53.6%) n=32,505 | 14.1% (0.0–32.5%) n=695 |
| Unemployment rate (16+) | 37.2% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–17.9%) n=668 |
| Households without a vehicle | 39.8% | 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) | 48.4% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 60.2% | 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 | 78.8% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 17.7% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 47.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $30,335 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $55,400 | $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 | 77.4 yr ± 2.13 | 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 2.13 years of 77.4, 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