ZIP code
25114
in Jeffrey, West VirginiaPopulation 278
35.73/ 100
Ranked #29,099 of 32,066 US ZIPs (bottom 9.3%)
Ranked #302 of 697 West Virginia ZIPs (top 43%)
Ranked #29 of 83 Charleston, WV ZIPs (top 35%)
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
95.7%
in the top 0.2% nationally
Higher is healthier
ST97thUS99thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Poverty rate
60.4%
in the top 1.0% nationally
Lower is healthier
ST96thUS99thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
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 ›Households without a vehicle
28.7%
in the top 2.6% nationally
Lower is healthier
ST97thUS97thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Obesity
46.8%
in the top 2.3% nationally
Lower is healthier
ST91stUS98thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
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 ›Slow internet speeds
2.2%
in the top 5.2% nationally
Lower is healthier
ST96thUS95thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›High blood pressure
48.2%
in the top 5.7% nationally
Lower is healthier
ST61stUS94thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Short sleep
42.8%
in the top 7.0% nationally
Lower is healthier
ST55thUS93rdDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›High cholesterol
44.8%
in the top 4.8% nationally
Lower is healthier
ST47thUS95thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›The read
Jeffrey, West Virginia (ZIP 25114) ranks in the bottom 9.3% nationally (29,099th) and the top 43% of West Virginia (302nd).
The weightiest signals in the profile are worth naming up front: poverty is in the top 1.0% nationally, and households without a vehicle registers in the top 2.6% nationally. Modeled obesity lies in the top 2.3% nationally, and slow internet speeds is in the top 5.2% nationally. Modeled high blood pressure registers in the top 5.7% nationally, short sleep lies in the top 7.0% nationally, and high cholesterol is in the top 4.8% nationally. More positively, modeled tree cover registers in the top 0.2% nationally, homeownership lies at the national maximum, and lead in tap water is at the national minimum.
Against its neighbors, slow internet speeds runs far higher than the surrounding ZIPs on this measure. For context, lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. The closest ZIP that ranks healthier overall is ZIP 25053, 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 73%
14%
Climate / Disaster Risk
healthier than 63%
5%
About typical
Preventive Care
healthier than 53%
13%
Healthcare Access
healthier than 50%
5%
Holding it back
Chronic Disease Burden
healthier than 6%
21%
Social Need / SDOH
healthier than 15%
16%
Risk Behavior
healthier than 4%
11%
Mental Health
healthier than 4%
8%
Disability
healthier than 16%
7%
Lifting this score
Environmental Hazard
healthier than 61%
14%
Mental Health
healthier than 71%
8%
About typical
Chronic Disease Burden
healthier than 56%
21%
Preventive Care
healthier than 52%
13%
Disability
healthier than 59%
7%
Healthcare Access
healthier than 45%
5%
Holding it back
Social Need / SDOH
healthier than 37%
16%
Risk Behavior
healthier than 39%
11%
Climate / Disaster Risk
healthier than 31%
5%
Lifting this score
Environmental Hazard
healthier than 67%
14%
Mental Health
healthier than 85%
8%
Disability
healthier than 66%
7%
About typical
Chronic Disease Burden
healthier than 55%
21%
Preventive Care
healthier than 55%
13%
Risk Behavior
healthier than 46%
11%
Climate / Disaster Risk
healthier than 55%
5%
Healthcare Access
healthier than 40%
5%
Holding it back
Social Need / SDOH
healthier than 37%
16%
“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
25053
West Virginiashares a border
Score 36.34
Closest healthier
25108
West Virginiashares a border
Score 38.60
Similar health profile
25938
West Virginia100% similar profile
Score 32.22
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 | 40.4% | 36.4–44.3 |
| High blood pressure among adults | 48.2% | 43.7–52.7 |
| Cancer (non-skin) or melanoma among adults | 9.9% | 8.9–11.0 |
| Current asthma among adults | 12.0% | 10.6–13.5 |
| Coronary heart disease among adults | 9.8% | 8.6–11.1 |
| Chronic obstructive pulmonary disease among adults | 12.2% | 10.3–14.0 |
| Depression among adults | 29.7% | 25.6–34.0 |
| Diagnosed diabetes among adults | 17.1% | 14.8–19.6 |
| High cholesterol among adults who have ever been screened | 44.8% | 40.2–49.3 |
| Obesity among adults | 46.8% | 39.0–54.6 |
| Stroke among adults | 4.6% | 4.0–5.1 |
| All teeth lost among adults aged >=65 years | 19.2% | 15.6–23.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.1% | 7.1–11.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.9% | 77.0–82.5 |
| Visits to doctor for routine checkup within the past year among adults | 80.4% | 77.0–83.6 |
| Cholesterol screening among adults | 86.7% | 84.5–88.7 |
| Colorectal cancer screening among adults aged 45–75 years | 68.9% | 64.0–73.4 |
| Visited dentist or dental clinic in the past year among adults | 54.0% | 49.9–57.8 |
| Mammography use among women aged 50-74 years | 74.0% | 65.9–81.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.1% | 11.6–17.0 |
| Current cigarette smoking among adults | 22.7% | 19.0–26.7 |
| No leisure-time physical activity among adults | 36.5% | 30.9–42.4 |
| Short sleep duration among adults | 42.8% | 36.0–49.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 28.2% | 24.2–32.3 |
| Frequent mental distress among adults | 21.2% | 18.7–23.8 |
| Frequent physical distress among adults | 18.7% | 16.3–21.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 19.4% | 16.8–22.1 |
| Any disability among adults | 41.6% | 36.4–46.8 |
| Hearing disability among adults | 9.9% | 8.7–11.1 |
| Independent living disability among adults | 11.5% | 9.9–13.1 |
| Mobility disability among adults | 20.7% | 17.7–23.7 |
| Self-care disability among adults | 5.1% | 4.4–5.9 |
| Vision disability among adults | 6.2% | 5.4–7.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.2% | 20.4–28.2 |
| Food insecurity in the past 12 months among adults | 17.5% | 14.3–21.0 |
| Received food stamps in the past 12 months among adults | 19.8% | 16.4–23.3 |
| Housing insecurity in the past 12 months among adults | 13.0% | 10.9–15.4 |
| Lack of reliable transportation in the past 12 months among adults | 9.3% | 7.9–10.7 |
| Loneliness among adults | 32.0% | 27.0–37.4 |
| Utility services shut-off threat in the past 12 months among adults | 11.7% | 10.0–13.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 60.4% | 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+) | 23.4% | 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+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–17.9%) n=668 |
| Households without a vehicle | 28.7% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 81.1% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 35.2% | 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 | 40.4% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 20.5% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 51.9 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 | — | $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 | 72.8 yr ± 1.63 | 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 1.63 years of 72.8, 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