ZIP code
25134
in Miami, West VirginiaPopulation 548
36.74/ 100
Ranked #28,655 of 32,066 US ZIPs (bottom 10.7%)
Ranked #257 of 697 West Virginia ZIPs (top 37%)
Ranked #20 of 83 Charleston, WV ZIPs (top 24%)
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
93.8%
in the top 0.4% nationally
Higher is healthier
ST92ndUS99thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Median household income
$150,366
in the top 3.9% nationally
Higher is healthier
ST99thUS96thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
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 ›High cholesterol
47%
in the top 1.5% nationally
Lower is healthier
ST84thUS99thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›High blood pressure
50.6%
in the top 2.9% nationally
Lower is healthier
ST83rdUS97thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
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 ›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 ›Coronary heart disease
10.5%
in the top 6.5% nationally
Lower is healthier
ST67thUS94thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Housing-cost burden
8.9%
in the bottom 8.2% nationally
Lower is healthier
ST27thUS8thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Diabetes
17.9%
in the top 8.4% nationally
Lower is healthier
ST55thUS92ndDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›The read
Overall, Miami, West Virginia (ZIP 25134) places in the bottom 10.7% nationally (28,655th) and the top 37% of West Virginia (257th).
The data opens on real and measurable burdens: modeled high cholesterol lands in the top 1.5% nationally, and high blood pressure stands in the top 2.9% nationally. Modeled coronary heart disease registers in the top 6.5% nationally. More encouragingly, modeled tree cover settles in the top 0.4% nationally, household income sits in the top 3.9% nationally, and homeownership lies at the national maximum. Home broadband subscription rests at the national maximum, and lead in tap water resides at the national minimum. Households without a vehicle is at the national minimum, shared with about 16% of ZIPs. Housing-cost burden lands in the bottom 8.2% nationally.
For readers new to these 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. Among nearby ZIPs, the nearest healthier one overall is ZIP 25015, about 0.4 miles away.
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 81%
14%
Preventive Care
healthier than 63%
13%
Climate / Disaster Risk
healthier than 66%
5%
Healthcare Access
healthier than 65%
5%
Holding it back
Chronic Disease Burden
healthier than 4%
21%
Social Need / SDOH
healthier than 35%
16%
Risk Behavior
healthier than 7%
11%
Mental Health
healthier than 4%
8%
Disability
healthier than 13%
7%
Lifting this score
Social Need / SDOH
healthier than 66%
16%
Environmental Hazard
healthier than 69%
14%
Preventive Care
healthier than 69%
13%
Mental Health
healthier than 73%
8%
Healthcare Access
healthier than 71%
5%
About typical
Chronic Disease Burden
healthier than 46%
21%
Risk Behavior
healthier than 52%
11%
Disability
healthier than 50%
7%
Climate / Disaster Risk
healthier than 42%
5%
Nothing measured is holding this score back.
Lifting this score
Social Need / SDOH
healthier than 76%
16%
Environmental Hazard
healthier than 74%
14%
Preventive Care
healthier than 73%
13%
Risk Behavior
healthier than 66%
11%
Mental Health
healthier than 88%
8%
Climate / Disaster Risk
healthier than 71%
5%
Healthcare Access
healthier than 62%
5%
About typical
Chronic Disease Burden
healthier than 46%
21%
Disability
healthier than 52%
7%
Nothing measured is holding this score back.
“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
25035
West Virginiashares a border
Score 35.99
Closest healthier
25015
West Virginiaabout 0.4 mi away
Score 37.79
Similar health profile
26847
West Virginia100% similar profile
Score 38.32
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 | 41.6% | 38.0–45.2 |
| High blood pressure among adults | 50.6% | 46.7–54.4 |
| Cancer (non-skin) or melanoma among adults | 10.7% | 9.6–11.9 |
| Current asthma among adults | 11.6% | 10.2–13.3 |
| Coronary heart disease among adults | 10.5% | 9.1–12.2 |
| Chronic obstructive pulmonary disease among adults | 12.5% | 10.4–15.1 |
| Depression among adults | 29.7% | 26.0–33.6 |
| Diagnosed diabetes among adults | 17.9% | 15.4–20.5 |
| High cholesterol among adults who have ever been screened | 47.0% | 43.1–51.0 |
| Obesity among adults | 41.6% | 36.2–46.7 |
| Stroke among adults | 4.9% | 4.2–5.7 |
| All teeth lost among adults aged >=65 years | 22.7% | 19.3–26.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.9% | 6.6–11.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.4% | 78.7–84.0 |
| Visits to doctor for routine checkup within the past year among adults | 81.8% | 78.8–84.6 |
| Cholesterol screening among adults | 87.9% | 85.9–89.9 |
| Colorectal cancer screening among adults aged 45–75 years | 68.7% | 65.0–72.3 |
| Visited dentist or dental clinic in the past year among adults | 58.1% | 54.8–61.4 |
| Mammography use among women aged 50-74 years | 72.2% | 66.1–78.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.0% | 11.5–16.5 |
| Current cigarette smoking among adults | 23.6% | 19.4–27.9 |
| No leisure-time physical activity among adults | 36.6% | 31.1–42.0 |
| Short sleep duration among adults | 39.2% | 35.2–43.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 27.8% | 23.4–32.6 |
| Frequent mental distress among adults | 21.1% | 18.5–23.8 |
| Frequent physical distress among adults | 19.0% | 16.4–22.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 19.5% | 16.5–22.6 |
| Any disability among adults | 43.6% | 38.5–48.9 |
| Hearing disability among adults | 10.6% | 9.2–12.1 |
| Independent living disability among adults | 11.8% | 9.9–13.9 |
| Mobility disability among adults | 22.2% | 18.8–26.0 |
| Self-care disability among adults | 5.2% | 4.3–6.3 |
| Vision disability among adults | 6.3% | 5.3–7.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.4% | 21.8–29.5 |
| Food insecurity in the past 12 months among adults | 18.0% | 14.4–22.0 |
| Received food stamps in the past 12 months among adults | 18.6% | 14.7–22.7 |
| Housing insecurity in the past 12 months among adults | 12.8% | 10.5–15.4 |
| Lack of reliable transportation in the past 12 months among adults | 8.6% | 7.1–10.2 |
| Loneliness among adults | 33.7% | 29.6–38.1 |
| Utility services shut-off threat in the past 12 months among adults | 11.3% | 9.5–13.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 7.8% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 12.0% | 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+) | 17.2% | 23.3% (9.2–53.6%) n=32,505 | 14.1% (0.0–32.5%) n=695 |
| Unemployment rate (16+) | 4.2% | 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) | 8.9% | 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 | 9.8% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 6.4% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 20.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $150,366 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $83,500 | $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 | 75.9 yr ± 1.19 | 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 1.19 years of 75.9, 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