ZIP code
24946
in Hillsboro, West VirginiaPopulation 1,075
39.27/ 100
Ranked #27,226 of 32,066 US ZIPs (bottom 15%)
Ranked #176 of 697 West Virginia ZIPs (top 25%)
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
87.8%
in the top 2.0% nationally
Higher is healthier
ST68thUS98thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Park land
53.6%
in the top 2.2% nationally
Higher is healthier
ST99thUS98thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Tooth loss
26.7%
in the top 5.5% nationally
Lower is healthier
ST68thUS95thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Home broadband subscription
68.4%
in the bottom 5.4% nationally
Higher is healthier
ST15thUS5thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Distance to a hazardous-chemical facility
18.3 mi
in the top 5.7% nationally
Higher is healthier
ST88thUS94thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest facility that handles enough hazardous chemicals to require an EPA risk-management plan for accidental releases.
Full methodology ›Walkability
2.1 intersections/sq mi
in the bottom 7.8% nationally
Higher is healthier
ST1stUS8thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›High cholesterol
43.9%
in the top 7.2% nationally
Lower is healthier
ST32ndUS93rdDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Arsenic in groundwater
1.4%
in the bottom 10.5% nationally
Lower is healthier
ST2ndUS10thDefinition & source ›
The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms per liter.
A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.
Full methodology ›Air-toxics cancer risk
20 per million
in the bottom 25% nationally
Lower is healthier
ST1stUS25thDefinition & source ›
The EPA’s modeled estimate of added lifetime cancer risk from breathing outdoor air toxics, in cases per million people exposed over a lifetime.
Full methodology ›The read
In its overall standing, Hillsboro, West Virginia (ZIP 24946) lands in the bottom 15% nationally (27,226th) and the top 25% of West Virginia (176th).
Reading across the data, the real pressures come first: modeled tooth loss sits in the top 5.5% nationally, home broadband subscription lands in the bottom 5.4% nationally, and walkability lies in the bottom 7.8% nationally. Fiber broadband stands at the national minimum, shared with about 19% of ZIPs. Modeled high cholesterol rests in the top 7.2% nationally. More encouragingly, modeled tree cover registers in the top 2.0% nationally, and park land resides in the top 2.2% nationally. Distance to a hazardous-chemical facility settles in the top 5.7% nationally. Modeled extreme heat is at the national minimum, shared with about 19% of ZIPs. Modeled arsenic sits in the bottom 10.5% nationally.
Against the wider neighborhood, park land runs far higher than the surrounding ZIPs on this measure. Put simply, distance to a hazardous-chemical facility is a plant handling large amounts of hazardous chemicals that must file an EPA risk-management plan for accidental releases. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. On the overall standing, ZIP 24986, just across the boundary, 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental Hazard
healthier than 90%
14%
Climate / Disaster Risk
healthier than 89%
5%
About typical
Healthcare Access
healthier than 47%
5%
Holding it back
Chronic Disease Burden
healthier than 9%
21%
Social Need / SDOH
healthier than 18%
16%
Preventive Care
healthier than 40%
13%
Risk Behavior
healthier than 13%
11%
Mental Health
healthier than 8%
8%
Disability
healthier than 21%
7%
Lifting this score
Chronic Disease Burden
healthier than 71%
21%
Environmental Hazard
healthier than 84%
14%
Risk Behavior
healthier than 74%
11%
Mental Health
healthier than 91%
8%
Disability
healthier than 68%
7%
Climate / Disaster Risk
healthier than 94%
5%
About typical
Social Need / SDOH
healthier than 42%
16%
Healthcare Access
healthier than 41%
5%
Holding it back
Preventive Care
healthier than 31%
13%
“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 ›
Findings that name this ZIP
One of our published findings lists this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.
Clean environment, heavy chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 89.6; chronic-disease standing 9.3 (bottom 10%) — 80 points apart, cleaner on the environment than it is on chronic illness.
Ranked #479 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
24924
West Virginiashares a border
Score 37.97
Closest healthier
24986
West Virginiashares a border
Score 42.76
Similar health profile
16926
Pennsylvania99% similar profile
Score 42.44
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 | 38.0% | 34.2–41.9 |
| High blood pressure among adults | 45.5% | 41.0–50.1 |
| Cancer (non-skin) or melanoma among adults | 9.9% | 8.8–10.9 |
| Current asthma among adults | 11.6% | 10.1–13.1 |
| Coronary heart disease among adults | 9.6% | 8.3–10.9 |
| Chronic obstructive pulmonary disease among adults | 11.5% | 9.6–13.6 |
| Depression among adults | 28.3% | 24.3–32.7 |
| Diagnosed diabetes among adults | 16.4% | 14.1–19.0 |
| High cholesterol among adults who have ever been screened | 43.9% | 39.2–48.6 |
| Obesity among adults | 38.7% | 30.6–47.4 |
| Stroke among adults | 4.5% | 3.9–5.1 |
| All teeth lost among adults aged >=65 years | 26.7% | 22.3–31.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.7% | 7.4–12.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.8% | 77.0–82.3 |
| Visits to doctor for routine checkup within the past year among adults | 79.3% | 75.5–82.7 |
| Cholesterol screening among adults | 85.6% | 83.0–88.0 |
| Colorectal cancer screening among adults aged 45–75 years | 66.4% | 61.3–71.2 |
| Visited dentist or dental clinic in the past year among adults | 50.7% | 46.6–54.6 |
| Mammography use among women aged 50-74 years | 74.3% | 66.2–81.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.3% | 11.6–17.4 |
| Current cigarette smoking among adults | 20.7% | 16.9–24.8 |
| No leisure-time physical activity among adults | 33.6% | 28.0–39.6 |
| Short sleep duration among adults | 39.7% | 32.9–46.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 26.7% | 22.5–31.3 |
| Frequent mental distress among adults | 20.2% | 17.7–22.9 |
| Frequent physical distress among adults | 17.9% | 15.4–20.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.8% | 16.0–21.9 |
| Any disability among adults | 39.9% | 34.4–45.8 |
| Hearing disability among adults | 9.9% | 8.5–11.2 |
| Independent living disability among adults | 10.8% | 9.2–12.7 |
| Mobility disability among adults | 19.3% | 16.3–22.4 |
| Self-care disability among adults | 4.8% | 4.0–5.6 |
| Vision disability among adults | 6.0% | 5.1–7.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.1% | 20.2–28.7 |
| Food insecurity in the past 12 months among adults | 16.2% | 12.7–20.0 |
| Received food stamps in the past 12 months among adults | 17.4% | 13.7–21.4 |
| Housing insecurity in the past 12 months among adults | 11.8% | 9.5–14.4 |
| Lack of reliable transportation in the past 12 months among adults | 8.8% | 7.3–10.6 |
| Loneliness among adults | 33.6% | 28.3–39.5 |
| Utility services shut-off threat in the past 12 months among adults | 10.4% | 8.6–12.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 15.3% | 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+) | 14.1% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 33.1% | 23.3% (9.2–53.6%) n=32,505 | 14.1% (0.0–32.5%) n=695 |
| Unemployment rate (16+) | 5.4% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–17.9%) n=668 |
| Households without a vehicle | 4.4% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 68.4% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 12.7% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 88.9% | 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 | 75.3% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 34.1% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 47.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $60,625 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $227,000 | $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 unavailable for this ZIP — fewer than 80% of the census tracts that make it up could be matched across the 2010→2020 tract-boundary revision, so no value is published rather than an unreliable one. See how coverage gaps are handled. | |||
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