ZIP code
25003
in Alum Creek, West VirginiaPopulation 1,975
38.90/ 100
Ranked #27,477 of 32,066 US ZIPs (bottom 14.4%)
Ranked #192 of 697 West Virginia ZIPs (top 28%)
Ranked #14 of 83 Charleston, WV ZIPs (top 17%)
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
92.3%
in the top 0.8% nationally
Higher is healthier
ST86thUS99thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Elder-services access
0.44 per 1,000 residents
in the top 2.9% nationally
Higher is healthier
ST98thUS97thDefinition & source ›
The number of services for older adults and people with disabilities 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 ›Industrial-pollution burden
in the top 4.7% nationally
Lower is healthier
ST96thUS95thDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›Housing-cost burden
7.0%
in the bottom 6.5% nationally
Lower is healthier
ST22ndUS6thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Pharmacy access
0.44 per 1,000 residents
in the top 6.7% nationally
Higher is healthier
ST87thUS93rdDefinition & 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
11.6%
in the top 7.0% nationally
Lower is healthier
ST83rdUS93rdDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Slow internet speeds
1.7%
in the top 7.0% nationally
Lower is healthier
ST95thUS93rdDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Obesity
43%
in the top 9.0% nationally
Lower is healthier
ST58thUS91stDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›High cholesterol
43.3%
in the top 9.4% nationally
Lower is healthier
ST25thUS91stDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›The read
Alum Creek, West Virginia (ZIP 25003), by its composite score, sits in the bottom 14.4% nationally (27,477th) and the top 28% of West Virginia (192nd).
The data opens on a genuinely even set of readings: modeled tree cover lies in the top 0.8% nationally, and elder services rests in the top 2.9% nationally. Housing-cost burden resides in the bottom 6.5% nationally, and pharmacy is in the top 6.7% nationally. Distance to a community health center lands at the national minimum, shared with about 23% of ZIPs. On the other side, modeled industrial-pollution burden stands in the top 4.7% nationally, unemployment registers in the top 7.0% nationally, and slow internet speeds settles in the top 7.0% nationally. Fiber broadband sits at the national minimum, shared with about 19% of ZIPs. Modeled obesity lies in the top 9.0% nationally.
For anyone unfamiliar, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Distance to a community health center is a federally funded (HRSA) community health center serving everyone regardless of ability to pay. For a healthier comparison close by, see ZIP 25202, 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 68%
13%
Healthcare Access
healthier than 62%
5%
About typical
Social Need / SDOH
healthier than 49%
16%
Climate / Disaster Risk
healthier than 53%
5%
Holding it back
Chronic Disease Burden
healthier than 11%
21%
Environmental Hazard
healthier than 30%
14%
Risk Behavior
healthier than 11%
11%
Mental Health
healthier than 2%
8%
Disability
healthier than 23%
7%
Lifting this score
Chronic Disease Burden
healthier than 77%
21%
Social Need / SDOH
healthier than 78%
16%
Preventive Care
healthier than 74%
13%
Risk Behavior
healthier than 71%
11%
Disability
healthier than 72%
7%
Healthcare Access
healthier than 67%
5%
About typical
Mental Health
healthier than 44%
8%
Holding it back
Environmental Hazard
healthier than 22%
14%
Climate / Disaster Risk
healthier than 13%
5%
Lifting this score
Chronic Disease Burden
healthier than 79%
21%
Social Need / SDOH
healthier than 88%
16%
Preventive Care
healthier than 82%
13%
Risk Behavior
healthier than 85%
11%
Mental Health
healthier than 61%
8%
Disability
healthier than 82%
7%
About typical
Healthcare Access
healthier than 55%
5%
Holding it back
Environmental Hazard
healthier than 26%
14%
Climate / Disaster Risk
healthier than 17%
5%
“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
25009
West Virginiashares a border
Score 34.38
Closest healthier
25202
West Virginiashares a border
Score 40.05
Similar health profile
26146
West Virginia100% similar profile
Score 37.78
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 | 39.5% | 36.7–42.4 |
| High blood pressure among adults | 45.5% | 42.4–48.8 |
| Cancer (non-skin) or melanoma among adults | 9.8% | 9.0–10.6 |
| Current asthma among adults | 12.5% | 11.3–13.7 |
| Coronary heart disease among adults | 8.8% | 8.0–9.6 |
| Chronic obstructive pulmonary disease among adults | 11.1% | 9.9–12.4 |
| Depression among adults | 31.7% | 28.6–35.0 |
| Diagnosed diabetes among adults | 16.2% | 14.5–17.9 |
| High cholesterol among adults who have ever been screened | 43.3% | 40.2–46.6 |
| Obesity among adults | 43.0% | 37.8–48.4 |
| Stroke among adults | 4.3% | 3.9–4.6 |
| All teeth lost among adults aged >=65 years | 15.7% | 13.5–18.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.3% | 6.9–9.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.3% | 78.2–82.4 |
| Visits to doctor for routine checkup within the past year among adults | 81.6% | 79.2–84.0 |
| Cholesterol screening among adults | 87.7% | 86.2–89.1 |
| Colorectal cancer screening among adults aged 45–75 years | 66.9% | 63.4–70.1 |
| Visited dentist or dental clinic in the past year among adults | 56.4% | 53.6–59.2 |
| Mammography use among women aged 50-74 years | 77.4% | 72.4–81.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.9% | 12.1–16.1 |
| Current cigarette smoking among adults | 21.4% | 18.7–24.2 |
| No leisure-time physical activity among adults | 32.5% | 28.5–36.4 |
| Short sleep duration among adults | 41.2% | 36.9–45.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 25.9% | 23.1–28.8 |
| Frequent mental distress among adults | 21.5% | 19.5–23.5 |
| Frequent physical distress among adults | 18.1% | 16.2–19.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 19.0% | 17.0–21.0 |
| Any disability among adults | 39.7% | 35.9–43.5 |
| Hearing disability among adults | 9.0% | 8.1–9.9 |
| Independent living disability among adults | 11.1% | 9.9–12.3 |
| Mobility disability among adults | 19.1% | 17.0–21.2 |
| Self-care disability among adults | 4.7% | 4.2–5.2 |
| Vision disability among adults | 5.8% | 5.2–6.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.5% | 20.9–26.6 |
| Food insecurity in the past 12 months among adults | 16.7% | 14.6–19.1 |
| Received food stamps in the past 12 months among adults | 18.4% | 16.0–21.0 |
| Housing insecurity in the past 12 months among adults | 13.0% | 11.4–14.8 |
| Lack of reliable transportation in the past 12 months among adults | 8.7% | 7.8–9.8 |
| Loneliness among adults | 33.7% | 30.2–37.5 |
| Utility services shut-off threat in the past 12 months among adults | 11.4% | 10.2–12.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 14.6% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 22.4% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 16.9% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 13.0% | 23.3% (9.2–53.6%) n=32,505 | 14.1% (0.0–32.5%) n=695 |
| Unemployment rate (16+) | 11.6% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–17.9%) n=668 |
| Households without a vehicle | 9.5% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 87.2% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 7.0% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 74.8% | 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 | 7.3% | 2.6% (0.0–18.6%) n=32,553 | 0.0% (0.0–2.1%) n=696 |
| Single-parent households | 57.3% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 21.6% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 49.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $64,631 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $114,900 | $222,200 ($100,300–$579,820) n=30,049 | $125,600 ($66,920–$223,500) n=553 |
| Median gross rent | $784 | $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 | 75.7 yr ± 0.75 | 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 0.75 years of 75.7, 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