ZIP code
25180
in Saxon, West VirginiaPopulation 182
23.13/ 100
Ranked #31,649 of 32,066 US ZIPs (bottom 1.4%)
Ranked #628 of 697 West Virginia ZIPs (bottom 9.9%)
Ranked #67 of 75 Beckley, WV ZIPs (bottom 10.7%)
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
26.9%
in the top 0.5% nationally
Lower is healthier
ST98thUS99thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Independent-living disability
15.9%
in the top 1.7% nationally
Lower is healthier
ST91stUS98thDefinition & 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 ›Fair or poor health
36.9%
in the top 1.6% nationally
Lower is healthier
ST93rdUS98thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Tooth loss
30.3%
in the top 3.0% nationally
Lower is healthier
ST82ndUS97thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Short sleep
46.2%
in the top 1.9% nationally
Lower is healthier
ST91stUS98thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Energy-cost burden
6.5%
in the top 1.9% nationally
Lower is healthier
ST94thUS98thDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›Tree cover
88.2%
in the top 1.9% nationally
Higher is healthier
ST69thUS98thDefinition & 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 ›Housing-cost burden
50.8%
in the top 2.8% nationally
Lower is healthier
ST97thUS97thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Home broadband subscription
60.7%
in the bottom 3.0% nationally
Higher is healthier
ST9thUS3rdDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›The read
Overall, Saxon, West Virginia (ZIP 25180) lands in the bottom 1.4% nationally (31,649th) and the bottom 9.9% of West Virginia (628th).
Several measures weigh most on this area's profile, and they come first: modeled cognitive disability lies in the top 0.5% nationally, and independent living disability lands in the top 1.7% nationally. Modeled fair or poor health sits in the top 1.6% nationally, and tooth loss is in the top 3.0% nationally. Modeled short sleep settles in the top 1.9% nationally, modeled energy burden resides in the top 1.9% nationally, and housing-cost burden registers in the top 2.8% nationally. Home broadband subscription rests in the bottom 3.0% nationally. On the better side, modeled tree cover stands in the top 1.9% nationally, and homeownership lies at the national maximum.
A note on the terms: energy burden is the share of household income that goes to home energy bills. For a healthier nearby comparison, ZIP 25817, just across the boundary, ranks better 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 Beckley, 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 88%
14%
Climate / Disaster Risk
healthier than 81%
5%
Holding it back
Chronic Disease Burden
healthier than 5%
21%
Social Need / SDOH
healthier than 2%
16%
Preventive Care
healthier than 7%
13%
Risk Behavior
in the bottom 0.2%
11%
Mental Health
in the bottom 0.7%
8%
Disability
healthier than 3%
7%
Healthcare Access
healthier than 26%
5%
Lifting this score
Environmental Hazard
healthier than 82%
14%
Climate / Disaster Risk
healthier than 79%
5%
About typical
Chronic Disease Burden
healthier than 54%
21%
Holding it back
Social Need / SDOH
healthier than 4%
16%
Preventive Care
healthier than 1%
13%
Risk Behavior
healthier than 2%
11%
Mental Health
healthier than 12%
8%
Disability
healthier than 11%
7%
Healthcare Access
healthier than 8%
5%
Lifting this score
Chronic Disease Burden
healthier than 68%
21%
Environmental Hazard
healthier than 77%
14%
About typical
Climate / Disaster Risk
healthier than 59%
5%
Holding it back
Social Need / SDOH
healthier than 11%
16%
Preventive Care
in the bottom 0.00%
13%
Risk Behavior
in the bottom 0.00%
11%
Mental Health
healthier than 22%
8%
Disability
healthier than 12%
7%
Healthcare Access
healthier than 8%
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
25007
West Virginiashares a border
Score 14.55
Closest healthier
25817
West Virginiashares a border
Score 30.96
Similar health profile
63071
Missouri99% similar profile
Score 35.56
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 | 35.6% | 32.1–39.4 |
| High blood pressure among adults | 45.7% | 41.5–50.0 |
| Cancer (non-skin) or melanoma among adults | 7.5% | 6.7–8.4 |
| Current asthma among adults | 12.2% | 10.6–14.0 |
| Coronary heart disease among adults | 9.8% | 8.1–11.7 |
| Chronic obstructive pulmonary disease among adults | 15.1% | 11.7–18.9 |
| Depression among adults | 32.1% | 27.8–36.7 |
| Diagnosed diabetes among adults | 17.3% | 14.7–20.3 |
| High cholesterol among adults who have ever been screened | 42.3% | 38.1–46.5 |
| Obesity among adults | 44.9% | 38.7–51.5 |
| Stroke among adults | 4.8% | 3.9–5.7 |
| All teeth lost among adults aged >=65 years | 30.3% | 25.5–34.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 14.7% | 9.7–20.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 74.4% | 71.2–77.2 |
| Visits to doctor for routine checkup within the past year among adults | 76.7% | 72.5–80.4 |
| Cholesterol screening among adults | 77.7% | 73.3–81.6 |
| Colorectal cancer screening among adults aged 45–75 years | 61.3% | 55.3–66.6 |
| Visited dentist or dental clinic in the past year among adults | 41.4% | 37.4–44.9 |
| Mammography use among women aged 50-74 years | 70.9% | 62.0–77.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.4% | 12.6–18.5 |
| Current cigarette smoking among adults | 29.5% | 22.6–36.3 |
| No leisure-time physical activity among adults | 41.6% | 34.1–49.1 |
| Short sleep duration among adults | 46.2% | 40.3–51.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 36.9% | 29.7–44.3 |
| Frequent mental distress among adults | 25.8% | 21.9–29.8 |
| Frequent physical distress among adults | 22.3% | 18.4–26.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 26.9% | 21.5–32.3 |
| Any disability among adults | 48.8% | 41.5–56.2 |
| Hearing disability among adults | 10.3% | 8.7–12.0 |
| Independent living disability among adults | 15.9% | 12.5–19.6 |
| Mobility disability among adults | 23.0% | 18.5–28.2 |
| Self-care disability among adults | 7.1% | 5.4–9.2 |
| Vision disability among adults | 8.9% | 7.0–11.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 27.8% | 22.9–32.6 |
| Food insecurity in the past 12 months among adults | 29.0% | 21.4–36.6 |
| Received food stamps in the past 12 months among adults | 34.0% | 25.5–42.1 |
| Housing insecurity in the past 12 months among adults | 19.0% | 14.3–23.7 |
| Lack of reliable transportation in the past 12 months among adults | 15.2% | 11.7–18.9 |
| Loneliness among adults | 39.6% | 33.7–45.0 |
| Utility services shut-off threat in the past 12 months among adults | 18.0% | 14.2–21.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 17.0% | 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+) | 0.0% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 50.6% | 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 | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 60.7% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 50.8% | 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 | 80.0% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 47.8% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 42.9 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 | $119,800 | $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 | 71.0 yr ± 0.98 | 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 0.98 years of 71.0, 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