ZIP code
25530
in Kenova, West VirginiaPopulation 6,856
35.37/ 100
Ranked #29,246 of 32,066 US ZIPs (bottom 8.8%)
Ranked #316 of 697 West Virginia ZIPs (top 45%)
Ranked #40 of 65 Huntington-Ashland, WV-KY-OH ZIPs (bottom 38%)
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.
Grocery access
0.52 per 1,000 residents
in the top 1.4% nationally
Higher is healthier
ST96thUS99thDefinition & source ›
The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Elder-services access
0.52 per 1,000 residents
in the top 2.3% nationally
Higher is healthier
ST99thUS98thDefinition & 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 ›Outpatient-care access
0.87 per 1,000 residents
in the top 2.6% nationally
Higher is healthier
ST97thUS97thDefinition & source ›
The number of outpatient clinics 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 ›Short sleep
44%
in the top 4.5% nationally
Lower is healthier
ST70thUS96thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Pharmacy access
0.52 per 1,000 residents
in the top 4.6% nationally
Higher is healthier
ST90thUS95thDefinition & 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 ›Industrial-pollution burden
in the top 6.9% nationally
Lower is healthier
ST93rdUS93rdDefinition & 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 ›Tooth loss
24.4%
in the top 8.1% nationally
Lower is healthier
ST55thUS92ndDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Distance to a Superfund site
1.1 mi
in the bottom 7.5% nationally
Higher is healthier
ST3rdUS7thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Superfund site — an abandoned or uncontrolled hazardous-waste site the EPA has listed for cleanup.
Full methodology ›Child-care access
0.52 per 1,000 residents
in the top 9.6% nationally
Higher is healthier
ST93rdUS90thDefinition & source ›
The number of child day-care services 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 ›High blood pressure
46.1%
in the top 9.6% nationally
Lower is healthier
ST37thUS90thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›The read
By the composite measure, Kenova, West Virginia (ZIP 25530) sits in the bottom 8.8% nationally (29,246th) and the top 45% of West Virginia (316th).
The main burdens in the data show plainly and lead the picture: modeled short sleep lies in the top 4.5% nationally, industrial-pollution burden settles in the top 6.9% nationally, and tooth loss stands in the top 8.1% nationally. Distance to a Superfund site is in the bottom 7.5% nationally, and modeled high blood pressure rests in the top 9.6% nationally. More positively, grocery sits in the top 1.4% nationally, and elder services registers in the top 2.3% nationally. Outpatient lands in the top 2.6% nationally, and pharmacy resides in the top 4.6% nationally. Childcare lies in the top 9.6% nationally.
Compared with the ZIPs that surround it, industrial-pollution burden runs far higher than the surrounding ZIPs on this measure. In plain language, 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 Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. ZIP 25704, just across the boundary, ranks healthier overall.
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
Preventive Care
healthier than 61%
13%
Healthcare Access
healthier than 65%
5%
About typical
Social Need / SDOH
healthier than 49%
16%
Climate / Disaster Risk
healthier than 43%
5%
Holding it back
Chronic Disease Burden
healthier than 6%
21%
Environmental Hazard
healthier than 16%
14%
Risk Behavior
healthier than 6%
11%
Mental Health
healthier than 2%
8%
Disability
healthier than 17%
7%
Lifting this score
Social Need / SDOH
healthier than 78%
16%
Preventive Care
healthier than 65%
13%
Healthcare Access
healthier than 72%
5%
About typical
Chronic Disease Burden
healthier than 59%
21%
Risk Behavior
healthier than 46%
11%
Mental Health
healthier than 41%
8%
Disability
healthier than 60%
7%
Holding it back
Environmental Hazard
healthier than 10%
14%
Climate / Disaster Risk
healthier than 6%
5%
Lifting this score
Social Need / SDOH
healthier than 77%
16%
Preventive Care
healthier than 65%
13%
About typical
Healthcare Access
healthier than 58%
5%
Holding it back
Chronic Disease Burden
healthier than 26%
21%
Environmental Hazard
healthier than 26%
14%
Risk Behavior
healthier than 33%
11%
Mental Health
healthier than 33%
8%
Disability
healthier than 30%
7%
Climate / Disaster Risk
healthier than 19%
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 ›
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.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 76.3 ± 2.1 years. A median household income of $70,508 predicts 78.7 years — 2.4 years below.
Ranked #3,312 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
25507
West Virginiashares a border
Score 25.65
Closest healthier
25704
West Virginiashares a border
Score 36.42
Similar health profile
25159
West Virginia99% similar profile
Score 33.99
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 | 40.3% | 36.7–44.0 |
| High blood pressure among adults | 46.1% | 41.9–50.4 |
| Cancer (non-skin) or melanoma among adults | 10.1% | 9.1–11.1 |
| Current asthma among adults | 12.6% | 11.1–14.2 |
| Coronary heart disease among adults | 9.3% | 8.3–10.4 |
| Chronic obstructive pulmonary disease among adults | 11.8% | 10.3–13.5 |
| Depression among adults | 31.6% | 27.4–35.8 |
| Diagnosed diabetes among adults | 16.7% | 14.6–19.0 |
| High cholesterol among adults who have ever been screened | 43.2% | 38.8–47.7 |
| Obesity among adults | 43.0% | 35.7–50.5 |
| Stroke among adults | 4.5% | 4.1–5.0 |
| All teeth lost among adults aged >=65 years | 24.4% | 20.4–28.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.2% | 6.6–9.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.8% | 78.2–83.3 |
| Visits to doctor for routine checkup within the past year among adults | 81.8% | 78.5–84.8 |
| Cholesterol screening among adults | 86.9% | 85.0–88.8 |
| Colorectal cancer screening among adults aged 45–75 years | 68.3% | 63.8–72.8 |
| Visited dentist or dental clinic in the past year among adults | 54.0% | 50.2–57.8 |
| Mammography use among women aged 50-74 years | 74.5% | 67.1–81.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.9% | 11.5–16.9 |
| Current cigarette smoking among adults | 21.4% | 18.4–24.9 |
| No leisure-time physical activity among adults | 34.9% | 30.2–40.3 |
| Short sleep duration among adults | 44.0% | 37.9–50.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 27.3% | 23.9–31.1 |
| Frequent mental distress among adults | 21.8% | 19.3–24.5 |
| Frequent physical distress among adults | 18.6% | 16.4–21.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 19.2% | 16.9–21.8 |
| Any disability among adults | 41.8% | 37.2–46.9 |
| Hearing disability among adults | 9.6% | 8.5–10.8 |
| Independent living disability among adults | 11.9% | 10.4–13.5 |
| Mobility disability among adults | 20.4% | 17.9–23.3 |
| Self-care disability among adults | 5.1% | 4.5–5.8 |
| Vision disability among adults | 6.3% | 5.6–7.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.8% | 19.4–26.8 |
| Food insecurity in the past 12 months among adults | 17.0% | 14.3–20.1 |
| Received food stamps in the past 12 months among adults | 20.0% | 17.0–23.4 |
| Housing insecurity in the past 12 months among adults | 12.6% | 10.8–14.9 |
| Lack of reliable transportation in the past 12 months among adults | 9.4% | 8.2–10.8 |
| Loneliness among adults | 32.5% | 27.6–37.8 |
| Utility services shut-off threat in the past 12 months among adults | 11.8% | 10.3–13.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 7.7% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 9.0% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 5.2% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 25.6% | 23.3% (9.2–53.6%) n=32,505 | 14.1% (0.0–32.5%) n=695 |
| Unemployment rate (16+) | 1.3% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–17.9%) n=668 |
| Households without a vehicle | 5.0% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 88.8% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 14.1% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 76.7% | 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 | 63.5% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 18.9% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 43.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $70,508 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $162,100 | $222,200 ($100,300–$579,820) n=30,049 | $125,600 ($66,920–$223,500) n=553 |
| Median gross rent | $807 | $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 | 76.3 yr ± 1.08 | 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 1.08 years of 76.3, 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