ZIP code
24924
in Buckeye, West VirginiaPopulation 685
37.97/ 100
Ranked #28,034 of 32,066 US ZIPs (bottom 12.6%)
Ranked #222 of 697 West Virginia ZIPs (top 32%)
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.
Pharmacy access
2.2 per 1,000 residents
in the top 0.2% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of pharmacies located inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Unemployment rate
28.6%
in the top 1.0% nationally
Lower is healthier
ST96thUS99thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›High cholesterol
47.3%
in the top 1.3% nationally
Lower is healthier
ST87thUS99thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Distance to a hazardous-chemical facility
24.3 mi
in the top 3.2% nationally
Higher is healthier
ST98thUS97thDefinition & 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 ›High blood pressure
49.6%
in the top 3.8% nationally
Lower is healthier
ST75thUS96thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Home broadband subscription
65.9%
in the bottom 4.4% nationally
Higher is healthier
ST12thUS4thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Housing-cost burden
4.1%
in the bottom 4.6% nationally
Lower is healthier
ST18thUS5thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Coronary heart disease
10.8%
in the top 5.1% nationally
Lower is healthier
ST71stUS95thDefinition & 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
18.5%
in the top 6.8% nationally
Lower is healthier
ST63rdUS93rdDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Tree cover
76.9%
in the top 6.1% nationally
Higher is healthier
ST36thUS94thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›The read
On balance, and by the composite measure, Buckeye, West Virginia (ZIP 24924) ranks in the bottom 12.6% nationally (28,034th) and the top 32% of West Virginia (222nd).
The measures that press hardest set the tone here: unemployment resides in the top 1.0% nationally, and modeled high cholesterol lands in the top 1.3% nationally. Modeled high blood pressure registers in the top 3.8% nationally, and home broadband subscription sits in the bottom 4.4% nationally. Modeled coronary heart disease rests in the top 5.1% nationally, and diabetes is in the top 6.8% nationally. On the stronger side, pharmacy stands in the top 0.2% nationally, distance to a hazardous-chemical facility settles in the top 3.2% nationally, and housing-cost burden lies in the bottom 4.6% nationally. Modeled tree cover resides in the top 6.1% nationally.
Compared with the ZIPs it borders, pharmacy runs far higher than the surrounding ZIPs on this measure. In plainer terms, 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. For a healthier nearby ZIP overall, look to ZIP 24946, 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental Hazard
healthier than 96%
14%
Climate / Disaster Risk
healthier than 88%
5%
Healthcare Access
healthier than 90%
5%
About typical
Preventive Care
healthier than 52%
13%
Holding it back
Chronic Disease Burden
healthier than 4%
21%
Social Need / SDOH
healthier than 14%
16%
Risk Behavior
healthier than 15%
11%
Mental Health
healthier than 9%
8%
Disability
healthier than 16%
7%
Lifting this score
Environmental Hazard
healthier than 98%
14%
Risk Behavior
healthier than 78%
11%
Mental Health
healthier than 94%
8%
Climate / Disaster Risk
healthier than 94%
5%
Healthcare Access
healthier than 94%
5%
About typical
Chronic Disease Burden
healthier than 42%
21%
Preventive Care
healthier than 50%
13%
Disability
healthier than 57%
7%
Holding it back
Social Need / SDOH
healthier than 36%
16%
“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
24946
West Virginiashares a border
Score 39.27
Closest healthier
24986
West Virginiaabout 6.2 mi away
Score 42.76
Similar health profile
26804
West Virginia99% similar profile
Score 35.61
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 | 43.3% | 39.0–47.8 |
| High blood pressure among adults | 49.6% | 44.9–54.4 |
| Cancer (non-skin) or melanoma among adults | 11.5% | 10.3–12.9 |
| Current asthma among adults | 11.9% | 10.4–13.6 |
| Coronary heart disease among adults | 10.8% | 9.3–12.6 |
| Chronic obstructive pulmonary disease among adults | 13.2% | 10.8–15.9 |
| Depression among adults | 28.5% | 24.4–33.1 |
| Diagnosed diabetes among adults | 18.5% | 15.8–21.6 |
| High cholesterol among adults who have ever been screened | 47.3% | 42.3–52.3 |
| Obesity among adults | 39.9% | 31.5–48.7 |
| Stroke among adults | 5.1% | 4.3–5.9 |
| All teeth lost among adults aged >=65 years | 19.0% | 15.6–22.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.3% | 6.4–12.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 82.6% | 79.9–85.1 |
| Visits to doctor for routine checkup within the past year among adults | 81.4% | 78.1–84.6 |
| Cholesterol screening among adults | 88.3% | 86.1–90.3 |
| Colorectal cancer screening among adults aged 45–75 years | 67.4% | 62.2–72.0 |
| Visited dentist or dental clinic in the past year among adults | 51.6% | 47.5–55.7 |
| Mammography use among women aged 50-74 years | 71.1% | 62.6–78.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.8% | 10.4–15.5 |
| Current cigarette smoking among adults | 21.5% | 17.0–26.1 |
| No leisure-time physical activity among adults | 35.4% | 29.1–41.9 |
| Short sleep duration among adults | 38.9% | 32.2–46.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 28.2% | 23.1–33.4 |
| Frequent mental distress among adults | 19.4% | 16.7–22.2 |
| Frequent physical distress among adults | 19.2% | 16.3–22.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.0% | 14.9–21.2 |
| Any disability among adults | 41.3% | 35.4–47.6 |
| Hearing disability among adults | 10.8% | 9.3–12.5 |
| Independent living disability among adults | 11.1% | 9.0–13.2 |
| Mobility disability among adults | 21.8% | 18.0–25.9 |
| Self-care disability among adults | 5.2% | 4.2–6.3 |
| Vision disability among adults | 6.3% | 5.2–7.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.2% | 19.0–27.7 |
| Food insecurity in the past 12 months among adults | 15.8% | 12.1–20.0 |
| Received food stamps in the past 12 months among adults | 17.8% | 13.6–22.4 |
| Housing insecurity in the past 12 months among adults | 11.4% | 9.0–14.0 |
| Lack of reliable transportation in the past 12 months among adults | 8.3% | 6.8–10.0 |
| Loneliness among adults | 32.2% | 26.9–38.2 |
| Utility services shut-off threat in the past 12 months among adults | 10.2% | 8.3–12.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 25.3% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 19.1% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 10.4% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 23.2% | 23.3% (9.2–53.6%) n=32,505 | 14.1% (0.0–32.5%) n=695 |
| Unemployment rate (16+) | 28.6% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–17.9%) n=668 |
| Households without a vehicle | 3.4% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 65.9% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 4.1% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 95.3% | 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 | 64.3% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 26.4% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 57.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $53,056 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $170,700 | $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