ZIP code
25703
in Huntington, West VirginiaPopulation 4,598
29.42/ 100
Ranked #30,880 of 32,066 US ZIPs (bottom 3.7%)
Ranked #525 of 697 West Virginia ZIPs (bottom 25%)
Ranked #51 of 65 Huntington-Ashland, WV-KY-OH ZIPs (bottom 22%)
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.
Cognitive disability
27.6%
in the top 0.4% nationally
Lower is healthier
ST98thUS99thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Tooth loss
32.2%
in the top 2.1% nationally
Lower is healthier
ST88thUS98thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Independent-living disability
15.5%
in the top 2.1% nationally
Lower is healthier
ST90thUS98thDefinition & source ›
The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.
Full methodology ›Short sleep
46.4%
in the top 1.7% nationally
Lower is healthier
ST92ndUS98thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Housing-cost burden
61.2%
in the top 1.1% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Loneliness
42.9%
in the top 1.3% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Homeownership rate
16.6%
in the bottom 1.8% nationally
Higher is healthier
ST1stUS2ndDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Poverty rate
47.7%
in the top 1.8% nationally
Lower is healthier
ST92ndUS98thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Walkability
220 intersections/sq mi
in the top 2.1% nationally
Higher is healthier
ST99thUS98thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Utility shut-off threat
20.4%
in the top 2.3% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›The read
In its overall standing, ZIP 25703, one of several in Huntington, West Virginia lands in the bottom 3.7% nationally (30,880th) and the bottom 25% of West Virginia (525th).
Reading across the data, the real pressures come first: modeled cognitive disability stands in the top 0.4% nationally, tooth loss rests in the top 2.1% nationally, and independent living disability registers in the top 2.1% nationally. Modeled short sleep resides in the top 1.7% nationally, housing-cost burden settles in the top 1.1% nationally, and modeled loneliness is in the top 1.3% nationally. Poverty sits in the top 1.8% nationally, and modeled utility shutoff lands in the top 2.3% nationally. Modeled industrial-pollution burden lies in the top 2.4% nationally. More encouragingly, walkability stands in the top 2.1% nationally.
Against the wider neighborhood, walkability runs far higher than the surrounding ZIPs on this measure. Put simply, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. On the overall standing, ZIP 25701, 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. Compare it against the US, this state and the Huntington-Ashland, WV-KY-OH metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Climate / Disaster Risk
healthier than 67%
5%
Healthcare Access
healthier than 88%
5%
About typical
Chronic Disease Burden
healthier than 45%
21%
Holding it back
Social Need / SDOH
in the bottom 0.8%
16%
Environmental Hazard
healthier than 8%
14%
Preventive Care
healthier than 6%
13%
Risk Behavior
healthier than 3%
11%
Mental Health
in the bottom 0.00%
8%
Disability
healthier than 14%
7%
Lifting this score
Chronic Disease Burden
healthier than 98%
21%
Healthcare Access
healthier than 94%
5%
About typical
Disability
healthier than 52%
7%
Climate / Disaster Risk
healthier than 44%
5%
Holding it back
Social Need / SDOH
healthier than 2%
16%
Environmental Hazard
healthier than 4%
14%
Preventive Care
in the bottom 0.8%
13%
Risk Behavior
healthier than 31%
11%
Mental Health
in the bottom 0.00%
8%
Lifting this score
Chronic Disease Burden
in the top 0.00%
21%
Climate / Disaster Risk
in the top 0.00%
5%
Healthcare Access
healthier than 86%
5%
Holding it back
Social Need / SDOH
healthier than 2%
16%
Environmental Hazard
healthier than 9%
14%
Preventive Care
in the bottom 0.00%
13%
Risk Behavior
healthier than 19%
11%
Mental Health
in the bottom 0.00%
8%
Disability
healthier than 26%
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
25701
West Virginiashares a border
Score 36.27
Closest healthier
25705
West Virginiashares a border
Score 40.20
Similar health profile
48126
Michigan98% similar profile
Score 33.75
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 | 25.5% | 22.9–28.2 |
| High blood pressure among adults | 32.4% | 29.0–36.0 |
| Cancer (non-skin) or melanoma among adults | 4.4% | 3.9–4.8 |
| Current asthma among adults | 14.6% | 12.9–16.4 |
| Coronary heart disease among adults | 5.2% | 4.7–5.8 |
| Chronic obstructive pulmonary disease among adults | 8.5% | 7.5–9.6 |
| Depression among adults | 37.2% | 33.0–41.5 |
| Diagnosed diabetes among adults | 11.8% | 10.4–13.2 |
| High cholesterol among adults who have ever been screened | 31.6% | 28.3–35.1 |
| Obesity among adults | 46.6% | 40.7–52.7 |
| Stroke among adults | 3.0% | 2.7–3.2 |
| All teeth lost among adults aged >=65 years | 32.2% | 27.7–37.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.9% | 9.1–13.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 66.4% | 63.8–69.1 |
| Visits to doctor for routine checkup within the past year among adults | 76.6% | 72.8–80.1 |
| Cholesterol screening among adults | 74.5% | 71.3–77.6 |
| Colorectal cancer screening among adults aged 45–75 years | 61.2% | 56.3–65.9 |
| Visited dentist or dental clinic in the past year among adults | 40.4% | 37.0–44.1 |
| Mammography use among women aged 50-74 years | 72.0% | 64.2–78.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.2% | 12.5–18.2 |
| Current cigarette smoking among adults | 20.8% | 18.0–24.0 |
| No leisure-time physical activity among adults | 34.1% | 29.5–39.3 |
| Short sleep duration among adults | 46.4% | 40.9–52.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 29.0% | 25.7–32.7 |
| Frequent mental distress among adults | 29.5% | 26.3–32.6 |
| Frequent physical distress among adults | 17.0% | 15.0–19.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 27.6% | 24.4–31.0 |
| Any disability among adults | 44.3% | 39.5–49.1 |
| Hearing disability among adults | 5.8% | 5.1–6.6 |
| Independent living disability among adults | 15.5% | 13.5–17.5 |
| Mobility disability among adults | 15.0% | 13.2–16.9 |
| Self-care disability among adults | 4.8% | 4.3–5.3 |
| Vision disability among adults | 7.5% | 6.7–8.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 27.7% | 23.8–31.5 |
| Food insecurity in the past 12 months among adults | 29.6% | 25.1–33.8 |
| Received food stamps in the past 12 months among adults | 33.8% | 28.8–38.3 |
| Housing insecurity in the past 12 months among adults | 20.9% | 18.0–23.9 |
| Lack of reliable transportation in the past 12 months among adults | 18.3% | 15.7–20.7 |
| Loneliness among adults | 42.9% | 37.8–47.7 |
| Utility services shut-off threat in the past 12 months among adults | 20.4% | 17.8–23.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 47.7% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 11.4% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 15.9% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 29.1% | 23.3% (9.2–53.6%) n=32,505 | 14.1% (0.0–32.5%) n=695 |
| Unemployment rate (16+) | 4.4% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–17.9%) n=668 |
| Households without a vehicle | 11.6% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 90.3% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 61.2% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 16.6% | 78.7% (51.7–94.0%) n=32,322 | 84.0% (61.6–100.0%) n=694 |
| Crowded housing (>1 per room) | 7.6% | 1.3% (0.0–6.3%) n=32,322 | 0.0% (0.0–4.1%) n=694 |
| Foreign-born population | 3.3% | 2.6% (0.0–18.6%) n=32,553 | 0.0% (0.0–2.1%) n=696 |
| Single-parent households | 39.0% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 5.1% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 22.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $24,139 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $71,200 | $222,200 ($100,300–$579,820) n=30,049 | $125,600 ($66,920–$223,500) n=553 |
| Median gross rent | $883 | $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