ZIP code
26143
in Elizabeth, West VirginiaPopulation 3,363
35.60/ 100
Ranked #29,147 of 32,066 US ZIPs (bottom 9.2%)
Ranked #307 of 697 West Virginia ZIPs (top 44%)
Ranked #11 of 13 Parkersburg-Vienna, WV ZIPs (bottom 15%)
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.
Elder-services access
0.5 per 1,000 residents
in the top 2.4% nationally
Higher is healthier
ST98thUS98thDefinition & source ›
The number of services for older adults and people with disabilities 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 ›Tree cover
84.4%
in the top 3.3% nationally
Higher is healthier
ST54thUS97thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Short sleep
43.1%
in the top 6.3% nationally
Lower is healthier
ST59thUS94thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›High cholesterol
44.9%
in the top 4.6% nationally
Lower is healthier
ST49thUS95thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Tooth loss
24.1%
in the top 8.6% nationally
Lower is healthier
ST53rdUS91stDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›High blood pressure
46.3%
in the top 9.2% nationally
Lower is healthier
ST40thUS91stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Obesity
43.6%
in the top 7.2% nationally
Lower is healthier
ST66thUS93rdDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›PFOA in drinking water
54%
in the top 16% nationally
Lower is healthier
ST94thUS84thDefinition & source ›
The share of residents served by public water systems where PFOA, one of the man-made “forever chemicals,” was detected in EPA testing.
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 ›The read
Elizabeth, West Virginia (ZIP 26143), by its composite score, sits in the bottom 9.2% nationally (29,147th) and the top 44% of West Virginia (307th).
The measures fall on both sides for this area, fairly evenly: elder services rests in the top 2.4% nationally, and modeled tree cover resides in the top 3.3% nationally. Distance to a hazardous-chemical facility is in the top 11.2% nationally. Distance to a community health center lands at the national minimum, shared with about 23% of ZIPs. Pulling the other way, modeled short sleep stands in the top 6.3% nationally, high cholesterol registers in the top 4.6% nationally, and tooth loss settles in the top 8.6% nationally. Modeled high blood pressure sits in the top 9.2% nationally, obesity lies in the top 7.2% nationally, and diabetes rests in the top 10.2% nationally.
For anyone unfamiliar, distance to a hazardous-chemical facility is a plant handling large amounts of hazardous chemicals that must file an EPA risk-management plan for accidental releases. Distance to a community health center is a federally funded (HRSA) community health center serving everyone regardless of ability to pay. For a healthier comparison close by, see ZIP 25275, 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 Parkersburg-Vienna, WV metro area.
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 60%
16%
Climate / Disaster Risk
healthier than 61%
5%
Healthcare Access
healthier than 76%
5%
About typical
Preventive Care
healthier than 49%
13%
Holding it back
Chronic Disease Burden
healthier than 5%
21%
Environmental Hazard
healthier than 21%
14%
Risk Behavior
healthier than 6%
11%
Mental Health
healthier than 3%
8%
Disability
healthier than 17%
7%
Lifting this score
Social Need / SDOH
healthier than 88%
16%
Healthcare Access
healthier than 85%
5%
About typical
Chronic Disease Burden
healthier than 52%
21%
Preventive Care
healthier than 46%
13%
Risk Behavior
healthier than 46%
11%
Mental Health
healthier than 48%
8%
Disability
healthier than 60%
7%
Holding it back
Environmental Hazard
healthier than 14%
14%
Climate / Disaster Risk
healthier than 27%
5%
Lifting this score
Climate / Disaster Risk
healthier than 92%
5%
About typical
Healthcare Access
healthier than 50%
5%
Holding it back
Chronic Disease Burden
healthier than 17%
21%
Social Need / SDOH
healthier than 25%
16%
Environmental Hazard
healthier than 33%
14%
Preventive Care
healthier than 8%
13%
Risk Behavior
healthier than 17%
11%
Mental Health
healthier than 21%
8%
Disability
healthier than 17%
7%
“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
25275
West Virginiashares a border
Score 39.52
Closest healthier
26150
West Virginiashares a border
Score 41.88
Similar health profile
26155
West Virginia100% similar profile
Score 37.77
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 | 41.0% | 37.4–44.6 |
| High blood pressure among adults | 46.3% | 42.1–50.5 |
| Cancer (non-skin) or melanoma among adults | 10.0% | 9.2–11.0 |
| Current asthma among adults | 12.7% | 11.3–14.1 |
| Coronary heart disease among adults | 9.4% | 8.5–10.4 |
| Chronic obstructive pulmonary disease among adults | 12.2% | 10.8–13.6 |
| Depression among adults | 31.3% | 27.5–35.4 |
| Diagnosed diabetes among adults | 17.4% | 15.3–19.6 |
| High cholesterol among adults who have ever been screened | 44.9% | 40.6–49.2 |
| Obesity among adults | 43.6% | 35.9–51.9 |
| Stroke among adults | 4.6% | 4.2–5.0 |
| All teeth lost among adults aged >=65 years | 24.1% | 20.5–28.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.4% | 7.0–10.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.8% | 78.3–83.2 |
| Visits to doctor for routine checkup within the past year among adults | 81.2% | 78.1–84.1 |
| Cholesterol screening among adults | 87.5% | 85.8–89.0 |
| Colorectal cancer screening among adults aged 45–75 years | 64.3% | 59.2–69.1 |
| Visited dentist or dental clinic in the past year among adults | 48.5% | 44.9–52.2 |
| Mammography use among women aged 50-74 years | 75.3% | 67.9–81.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.7% | 11.4–16.4 |
| Current cigarette smoking among adults | 22.0% | 19.2–25.0 |
| No leisure-time physical activity among adults | 35.5% | 30.5–40.6 |
| Short sleep duration among adults | 43.1% | 36.4–50.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 27.6% | 24.5–31.0 |
| Frequent mental distress among adults | 21.5% | 19.3–23.9 |
| Frequent physical distress among adults | 18.9% | 16.8–21.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 19.4% | 17.3–21.6 |
| Any disability among adults | 40.8% | 36.3–45.5 |
| Hearing disability among adults | 9.5% | 8.5–10.6 |
| Independent living disability among adults | 11.6% | 10.4–12.9 |
| Mobility disability among adults | 20.8% | 18.4–23.3 |
| Self-care disability among adults | 5.2% | 4.7–5.7 |
| Vision disability among adults | 6.2% | 5.6–6.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.8% | 19.6–26.4 |
| Food insecurity in the past 12 months among adults | 17.1% | 14.5–20.2 |
| Received food stamps in the past 12 months among adults | 19.5% | 16.7–22.6 |
| Housing insecurity in the past 12 months among adults | 12.7% | 10.8–14.8 |
| Lack of reliable transportation in the past 12 months among adults | 9.1% | 8.0–10.3 |
| Loneliness among adults | 33.4% | 28.8–38.4 |
| Utility services shut-off threat in the past 12 months among adults | 11.5% | 9.9–13.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 14.9% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 6.7% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 12.9% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 14.1% | 23.3% (9.2–53.6%) n=32,505 | 14.1% (0.0–32.5%) n=695 |
| Unemployment rate (16+) | 5.2% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–17.9%) n=668 |
| Households without a vehicle | 6.8% | 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) | 16.5% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 84.2% | 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 | 63.5% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 23.1% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 47.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $55,402 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $95,100 | $222,200 ($100,300–$579,820) n=30,049 | $125,600 ($66,920–$223,500) n=553 |
| Median gross rent | $573 | $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 | 77.2 yr ± 1.27 | 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 1.27 years of 77.2, 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