ZIP code
26559
in Barrackville, West VirginiaPopulation 1,619
47.29/ 100
Ranked #19,806 of 32,066 US ZIPs (bottom 38%)
Ranked #33 of 697 West Virginia ZIPs (top 4.8%)
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.
Fatal road crashes
0 per 100,000 residents per year
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
Full methodology ›Civic-institution access
0.73 per 1,000 residents
in the top 7.2% nationally
Higher is healthier
ST93rdUS93rdDefinition & source ›
The number of civic and social organizations 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 ›Natural-disaster risk
in the bottom 7.4% nationally
Lower is healthier
ST10thUS7thDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›Distance to a Superfund site
1.6 mi
in the bottom 9.4% nationally
Higher is healthier
ST4thUS9thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Superfund site — an abandoned or uncontrolled hazardous-waste site the EPA has listed for cleanup.
Full methodology ›Homeownership rate
94.3%
in the top 9.6% nationally
Higher is healthier
ST75thUS90thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Colon-cancer screening
70.4%
in the top 18% nationally
Higher is healthier
ST91stUS82ndDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Energy-cost burden
2.4%
in the bottom 23% nationally
Lower is healthier
ST8thUS23rdDefinition & 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 ›Uninsured (under 65)
6.8%
in the bottom 24% nationally
Lower is healthier
ST5thUS24thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Vision disability
4.5%
in the bottom 33% nationally
Lower is healthier
ST5thUS33rdDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Utility shut-off threat
8.8%
in the top 32% nationally
Lower is healthier
ST7thUS68thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›The read
By the composite health measure, Barrackville, West Virginia (ZIP 26559) ranks in the bottom 38% nationally (19,806th) and the top 4.8% of West Virginia (33rd).
The signals balance out across the profile, strengths against concerns: fatal road crashes rests at the national minimum, and civic stands in the top 7.2% nationally. Modeled disaster risk lies in the bottom 7.4% nationally, and homeownership lands in the top 9.6% nationally. Modeled extreme heat sits at the national minimum, shared with about 19% of ZIPs. Modeled expected annual loss is in the bottom 12.0% nationally, and housing-cost burden settles in the bottom 14.0% nationally. Set against that, distance to a Superfund site resides in the bottom 9.4% nationally, households without a vehicle registers in the top 13.0% nationally, and modeled high cholesterol rests in the top 11.1% nationally.
To spell things out, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Close by, ZIP 26541, about 3.9 miles away, ranks healthier 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Social Need / SDOH
healthier than 68%
16%
Preventive Care
healthier than 84%
13%
Climate / Disaster Risk
healthier than 71%
5%
Healthcare Access
healthier than 68%
5%
About typical
Environmental Hazard
healthier than 46%
14%
Disability
healthier than 50%
7%
Holding it back
Chronic Disease Burden
healthier than 22%
21%
Risk Behavior
healthier than 33%
11%
Mental Health
healthier than 7%
8%
Lifting this score
Chronic Disease Burden
healthier than 91%
21%
Social Need / SDOH
healthier than 93%
16%
Preventive Care
healthier than 95%
13%
Risk Behavior
healthier than 93%
11%
Mental Health
healthier than 89%
8%
Disability
healthier than 95%
7%
Healthcare Access
healthier than 76%
5%
About typical
Climate / Disaster Risk
healthier than 56%
5%
Holding it back
Environmental Hazard
healthier than 37%
14%
“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
26554
West Virginiashares a border
Score 44.42
Closest healthier
26541
West Virginiaabout 3.9 mi away
Score 47.92
Similar health profile
26719
West Virginia98% similar profile
Score 48.70
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 | 37.7% | 34.0–41.5 |
| High blood pressure among adults | 42.6% | 38.4–47.1 |
| Cancer (non-skin) or melanoma among adults | 10.1% | 9.0–11.2 |
| Current asthma among adults | 12.1% | 10.6–13.7 |
| Coronary heart disease among adults | 7.7% | 6.8–8.7 |
| Chronic obstructive pulmonary disease among adults | 8.8% | 7.3–10.3 |
| Depression among adults | 29.3% | 25.3–33.6 |
| Diagnosed diabetes among adults | 14.5% | 12.4–16.6 |
| High cholesterol among adults who have ever been screened | 42.9% | 38.4–47.4 |
| Obesity among adults | 41.3% | 34.6–48.4 |
| Stroke among adults | 3.6% | 3.2–4.1 |
| All teeth lost among adults aged >=65 years | 12.2% | 9.9–14.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.8% | 5.2–8.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.9% | 77.1–82.4 |
| Visits to doctor for routine checkup within the past year among adults | 82.0% | 78.8–85.0 |
| Cholesterol screening among adults | 88.8% | 86.9–90.6 |
| Colorectal cancer screening among adults aged 45–75 years | 70.4% | 66.0–74.7 |
| Visited dentist or dental clinic in the past year among adults | 61.1% | 57.5–64.7 |
| Mammography use among women aged 50-74 years | 78.3% | 71.2–84.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.4% | 12.7–18.5 |
| Current cigarette smoking among adults | 16.3% | 13.2–19.5 |
| No leisure-time physical activity among adults | 27.8% | 23.0–32.7 |
| Short sleep duration among adults | 39.0% | 33.5–44.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.2% | 18.0–24.7 |
| Frequent mental distress among adults | 19.7% | 17.3–22.4 |
| Frequent physical distress among adults | 15.1% | 13.1–17.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.9% | 13.7–18.4 |
| Any disability among adults | 34.9% | 30.1–39.8 |
| Hearing disability among adults | 7.9% | 6.9–9.0 |
| Independent living disability among adults | 8.8% | 7.5–10.2 |
| Mobility disability among adults | 16.0% | 13.5–18.6 |
| Self-care disability among adults | 3.6% | 3.0–4.2 |
| Vision disability among adults | 4.5% | 3.9–5.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.2% | 16.9–23.9 |
| Food insecurity in the past 12 months among adults | 12.0% | 9.5–14.7 |
| Received food stamps in the past 12 months among adults | 12.6% | 9.9–15.6 |
| Housing insecurity in the past 12 months among adults | 10.1% | 8.2–12.2 |
| Lack of reliable transportation in the past 12 months among adults | 7.0% | 5.9–8.3 |
| Loneliness among adults | 32.2% | 27.6–37.2 |
| Utility services shut-off threat in the past 12 months among adults | 8.8% | 7.3–10.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.5% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 4.0% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 7.2% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 35.5% | 23.3% (9.2–53.6%) n=32,505 | 14.1% (0.0–32.5%) n=695 |
| Unemployment rate (16+) | 3.8% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–17.9%) n=668 |
| Households without a vehicle | 10.9% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 82.0% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 12.9% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 94.3% | 78.7% (51.7–94.0%) n=32,322 | 84.0% (61.6–100.0%) n=694 |
| Crowded housing (>1 per room) | 1.6% | 1.3% (0.0–6.3%) n=32,322 | 0.0% (0.0–4.1%) n=694 |
| Foreign-born population | 0.1% | 2.6% (0.0–18.6%) n=32,553 | 0.0% (0.0–2.1%) n=696 |
| Single-parent households | 45.7% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 16.9% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 41.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $73,229 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $166,900 | $222,200 ($100,300–$579,820) n=30,049 | $125,600 ($66,920–$223,500) n=553 |
| Median gross rent | $1,000 | $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 | 77.1 yr ± 1.47 | 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 1.47 years of 77.1, 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