ZIP code
25093
in Gordon, West VirginiaPopulation 107
43.11/ 100
Ranked #24,278 of 32,066 US ZIPs (bottom 24%)
Ranked #93 of 697 West Virginia ZIPs (top 13.4%)
Ranked #7 of 83 Charleston, WV ZIPs (top 8.5%)
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
95.9%
in the top 0.09% nationally
Higher is healthier
ST98thUS99thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Homeownership rate
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Home broadband subscription
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Short sleep
44.1%
in the top 4.4% nationally
Lower is healthier
ST73rdUS96thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
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 ›Obesity
45.5%
in the top 3.7% nationally
Lower is healthier
ST82ndUS96thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Slow internet speeds
1.3%
in the top 9.0% nationally
Lower is healthier
ST92ndUS91stDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Floodplain exposure
0.48%
in the bottom 9.6% nationally
Lower is healthier
ST6thUS10thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›Walkability
2.4 intersections/sq mi
in the bottom 9.8% nationally
Higher is healthier
ST2ndUS10thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Air-toxics cancer risk
20 per million
in the bottom 25% nationally
Lower is healthier
ST1stUS25thDefinition & source ›
The EPA’s modeled estimate of added lifetime cancer risk from breathing outdoor air toxics, in cases per million people exposed over a lifetime.
Full methodology ›The read
By its overall health score, Gordon, West Virginia (ZIP 25093) lands in the bottom 24% nationally (24,278th) and the top 13.4% of West Virginia (93rd).
The measures that press hardest set the tone here: modeled short sleep lies in the top 4.4% nationally, and obesity resides in the top 3.7% nationally. Slow internet speeds lands in the top 9.0% nationally. Fiber broadband registers at the national minimum, shared with about 19% of ZIPs. On the stronger side, modeled tree cover sits in the top 0.09% nationally, homeownership rests at the national maximum, and home broadband subscription is at the national maximum. Lead in tap water stands at the national minimum. Households without a vehicle settles at the national minimum, shared with about 16% of ZIPs. Floodplain exposure lies in the bottom 9.6% nationally.
To translate a couple of terms, lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". This ZIP stands out as the strongest overall among its immediate neighbors.
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 96%
14%
Climate / Disaster Risk
healthier than 69%
5%
About typical
Social Need / SDOH
healthier than 55%
16%
Preventive Care
healthier than 54%
13%
Disability
healthier than 43%
7%
Healthcare Access
healthier than 42%
5%
Holding it back
Chronic Disease Burden
healthier than 20%
21%
Risk Behavior
healthier than 5%
11%
Mental Health
healthier than 5%
8%
Lifting this score
Chronic Disease Burden
healthier than 90%
21%
Social Need / SDOH
healthier than 83%
16%
Environmental Hazard
healthier than 97%
14%
Mental Health
healthier than 74%
8%
Disability
healthier than 93%
7%
About typical
Preventive Care
healthier than 54%
13%
Risk Behavior
healthier than 43%
11%
Climate / Disaster Risk
healthier than 50%
5%
Holding it back
Healthcare Access
healthier than 32%
5%
Lifting this score
Chronic Disease Burden
healthier than 91%
21%
Social Need / SDOH
healthier than 93%
16%
Environmental Hazard
healthier than 98%
14%
Mental Health
healthier than 89%
8%
Disability
healthier than 93%
7%
Climate / Disaster Risk
healthier than 84%
5%
About typical
Preventive Care
healthier than 56%
13%
Risk Behavior
healthier than 55%
11%
Holding it back
Healthcare Access
healthier than 28%
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
25130
West Virginiashares a border
Score 37.09
Similar health profile
41052
Kentucky98% similar profile
Score 47.36
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 | 36.5% | 32.7–40.6 |
| High blood pressure among adults | 43.7% | 39.3–48.4 |
| Cancer (non-skin) or melanoma among adults | 8.8% | 7.7–9.9 |
| Current asthma among adults | 11.9% | 10.5–13.6 |
| Coronary heart disease among adults | 7.4% | 6.3–8.7 |
| Chronic obstructive pulmonary disease among adults | 9.6% | 7.6–11.8 |
| Depression among adults | 29.9% | 25.8–34.4 |
| Diagnosed diabetes among adults | 14.2% | 12.0–16.6 |
| High cholesterol among adults who have ever been screened | 42.7% | 38.1–47.4 |
| Obesity among adults | 45.5% | 37.6–53.4 |
| Stroke among adults | 3.5% | 3.0–4.1 |
| All teeth lost among adults aged >=65 years | 16.8% | 13.7–20.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.0% | 5.6–10.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.3% | 74.0–80.4 |
| Visits to doctor for routine checkup within the past year among adults | 79.2% | 75.4–82.7 |
| Cholesterol screening among adults | 87.1% | 84.6–89.4 |
| Colorectal cancer screening among adults aged 45–75 years | 69.6% | 64.7–74.2 |
| Visited dentist or dental clinic in the past year among adults | 55.0% | 50.8–59.0 |
| Mammography use among women aged 50-74 years | 75.0% | 66.9–82.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.2% | 13.2–19.6 |
| Current cigarette smoking among adults | 20.7% | 16.5–25.2 |
| No leisure-time physical activity among adults | 31.1% | 25.6–37.4 |
| Short sleep duration among adults | 44.1% | 37.2–51.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 23.5% | 19.3–28.6 |
| Frequent mental distress among adults | 20.9% | 18.2–23.9 |
| Frequent physical distress among adults | 16.5% | 14.0–19.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.7% | 14.8–21.2 |
| Any disability among adults | 36.2% | 30.8–42.2 |
| Hearing disability among adults | 7.6% | 6.5–8.8 |
| Independent living disability among adults | 9.3% | 7.7–11.2 |
| Mobility disability among adults | 16.2% | 13.3–19.6 |
| Self-care disability among adults | 3.9% | 3.2–4.8 |
| Vision disability among adults | 4.6% | 3.8–5.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.0% | 19.9–28.3 |
| Food insecurity in the past 12 months among adults | 13.7% | 10.2–17.7 |
| Received food stamps in the past 12 months among adults | 13.9% | 10.3–18.1 |
| Housing insecurity in the past 12 months among adults | 11.3% | 8.8–13.8 |
| Lack of reliable transportation in the past 12 months among adults | 7.6% | 6.2–9.2 |
| Loneliness among adults | 32.0% | 26.5–37.5 |
| Utility services shut-off threat in the past 12 months among adults | 9.6% | 7.8–11.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 7.5% | 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+) | 92.5% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 0.0% | 23.3% (9.2–53.6%) n=32,505 | 14.1% (0.0–32.5%) n=695 |
| Unemployment rate (16+) | — | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–17.9%) n=668 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 100.0% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 28.6% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 100.0% | 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 | 100.0% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 45.8% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 64.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | — | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | — | $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 | 73.0 yr ± 1.25 | 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 1.25 years of 73.0, 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