ZIP code
25009
in Ashford, West VirginiaPopulation 870
34.38/ 100
Ranked #29,592 of 32,066 US ZIPs (bottom 7.8%)
Ranked #355 of 697 West Virginia ZIPs (bottom 49%)
Ranked #37 of 83 Charleston, WV ZIPs (top 45%)
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.
Child-care access
0.97 per 1,000 residents
in the top 2.5% nationally
Higher is healthier
ST98thUS98thDefinition & 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 ›Obesity
47.5%
in the top 1.8% nationally
Lower is healthier
ST93rdUS98thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Tree cover
83.8%
in the top 3.5% nationally
Higher is healthier
ST52ndUS97thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Home broadband subscription
64.9%
in the bottom 4.1% nationally
Higher is healthier
ST12thUS4thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Tooth loss
26%
in the top 6.2% nationally
Lower is healthier
ST64thUS94thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Lead in tap water
0 ppb
at the national minimum
Lower is healthier
US1stDefinition & source ›
The lead level at the 90th percentile of tap-water samples reported by the public water systems serving this ZIP, in parts per billion — the EPA requires action above 15 ppb.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Short sleep
43.5%
in the top 5.5% nationally
Lower is healthier
ST64thUS95thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Homeownership rate
96.9%
in the top 6.5% nationally
Higher is healthier
ST80thUS94thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Housing-cost burden
7.8%
in the bottom 7.0% nationally
Lower is healthier
ST24thUS7thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Cognitive disability
20.2%
in the top 8.5% nationally
Lower is healthier
ST56thUS92ndDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›The read
Ashford, West Virginia (ZIP 25009), on the composite measure, lands in the bottom 7.8% nationally (29,592nd) and the bottom 49% of West Virginia (355th).
The profile cuts both ways, and the readings bear that out: childcare resides in the top 2.5% nationally, modeled tree cover lies in the top 3.5% nationally, and lead in tap water settles at the national minimum. Homeownership stands in the top 6.5% nationally, and housing-cost burden is in the bottom 7.0% nationally. Unemployment rests at the national minimum, shared with about 15% of ZIPs. Working the other way, modeled obesity sits in the top 1.8% nationally, and home broadband subscription registers in the bottom 4.1% nationally. Modeled tooth loss lands in the top 6.2% nationally, and short sleep resides in the top 5.5% nationally.
In everyday language, lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. A healthier neighbor overall sits at ZIP 25003, 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
Environmental Hazard
healthier than 68%
14%
Climate / Disaster Risk
healthier than 61%
5%
About typical
Healthcare Access
healthier than 44%
5%
Holding it back
Chronic Disease Burden
healthier than 6%
21%
Social Need / SDOH
healthier than 30%
16%
Preventive Care
healthier than 35%
13%
Risk Behavior
healthier than 4%
11%
Mental Health
healthier than 2%
8%
Disability
healthier than 18%
7%
Lifting this score
Disability
healthier than 63%
7%
About typical
Chronic Disease Burden
healthier than 58%
21%
Social Need / SDOH
healthier than 60%
16%
Environmental Hazard
healthier than 56%
14%
Holding it back
Preventive Care
healthier than 26%
13%
Risk Behavior
healthier than 34%
11%
Mental Health
healthier than 32%
8%
Climate / Disaster Risk
healthier than 25%
5%
Healthcare Access
healthier than 35%
5%
Lifting this score
Social Need / SDOH
healthier than 71%
16%
Disability
healthier than 71%
7%
About typical
Chronic Disease Burden
healthier than 57%
21%
Environmental Hazard
healthier than 60%
14%
Climate / Disaster Risk
healthier than 40%
5%
Holding it back
Preventive Care
healthier than 23%
13%
Risk Behavior
healthier than 37%
11%
Mental Health
healthier than 37%
8%
Healthcare Access
healthier than 30%
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
25003
West Virginiashares a border
Score 38.90
Closest healthier
25051
West Virginiashares a border
Score 34.60
Similar health profile
25882
West Virginia100% similar profile
Score 34.36
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 | 39.4% | 35.5–43.3 |
| High blood pressure among adults | 46.3% | 41.9–50.8 |
| Cancer (non-skin) or melanoma among adults | 9.1% | 8.1–10.2 |
| Current asthma among adults | 12.9% | 11.2–14.6 |
| Coronary heart disease among adults | 8.9% | 7.7–10.1 |
| Chronic obstructive pulmonary disease among adults | 11.7% | 9.8–13.7 |
| Depression among adults | 31.8% | 27.4–36.4 |
| Diagnosed diabetes among adults | 16.4% | 14.1–18.9 |
| High cholesterol among adults who have ever been screened | 43.6% | 39.1–48.3 |
| Obesity among adults | 47.5% | 39.5–55.4 |
| Stroke among adults | 4.3% | 3.7–4.9 |
| All teeth lost among adults aged >=65 years | 26.0% | 21.6–30.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.8% | 6.6–11.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.1% | 76.1–81.8 |
| Visits to doctor for routine checkup within the past year among adults | 80.2% | 76.5–83.4 |
| Cholesterol screening among adults | 86.6% | 84.2–88.8 |
| Colorectal cancer screening among adults aged 45–75 years | 61.1% | 55.6–66.4 |
| Visited dentist or dental clinic in the past year among adults | 50.4% | 46.4–54.4 |
| Mammography use among women aged 50-74 years | 73.8% | 65.6–81.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.4% | 11.6–17.3 |
| Current cigarette smoking among adults | 22.8% | 18.7–27.0 |
| No leisure-time physical activity among adults | 35.9% | 30.2–42.0 |
| Short sleep duration among adults | 43.5% | 36.7–50.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 27.8% | 23.5–32.3 |
| Frequent mental distress among adults | 22.5% | 19.7–25.5 |
| Frequent physical distress among adults | 18.7% | 16.1–21.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 20.2% | 17.2–23.4 |
| Any disability among adults | 41.0% | 35.6–46.6 |
| Hearing disability among adults | 8.9% | 7.7–10.1 |
| Independent living disability among adults | 11.7% | 9.8–13.5 |
| Mobility disability among adults | 20.0% | 16.8–23.3 |
| Self-care disability among adults | 5.1% | 4.2–5.9 |
| Vision disability among adults | 6.1% | 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% | 20.3–28.2 |
| Food insecurity in the past 12 months among adults | 17.8% | 14.3–22.2 |
| Received food stamps in the past 12 months among adults | 19.8% | 15.9–24.3 |
| Housing insecurity in the past 12 months among adults | 13.6% | 11.2–16.5 |
| Lack of reliable transportation in the past 12 months among adults | 9.5% | 8.0–11.3 |
| Loneliness among adults | 32.8% | 27.8–38.2 |
| Utility services shut-off threat in the past 12 months among adults | 12.1% | 10.1–14.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 13.0% | 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+) | 17.6% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 9.2% | 23.3% (9.2–53.6%) n=32,505 | 14.1% (0.0–32.5%) n=695 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–17.9%) n=668 |
| Households without a vehicle | 6.2% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 64.9% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 7.8% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 96.9% | 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 | 42.9% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 17.6% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 42.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $66,042 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $81,600 | $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 at birth | 77.5 yr ± 2.84 | 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 2.84 years of 77.5, 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