ZIP code
26743
in New Creek, West VirginiaPopulation 2,216
45.08/ 100
Ranked #22,320 of 32,066 US ZIPs (bottom 30%)
Ranked #56 of 697 West Virginia ZIPs (top 8.1%)
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
83.3%
in the top 3.7% nationally
Higher is healthier
ST51stUS96thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Housing-cost burden
7.8%
in the bottom 7.1% nationally
Lower is healthier
ST24thUS7thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Arsenic in groundwater
1.5%
in the bottom 12.9% nationally
Lower is healthier
ST3rdUS13thDefinition & source ›
The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms per liter.
A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.
Full methodology ›Colon-cancer screening
71.9%
in the top 11.0% nationally
Higher is healthier
ST95thUS89thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Air-toxics cancer risk
20 per million
in the bottom 25% nationally
Lower is healthier
ST1stUS25thDefinition & source ›
The EPA’s modeled estimate of added lifetime cancer risk from breathing outdoor air toxics, in cases per million people exposed over a lifetime.
Full methodology ›Uninsured (under 65)
6.6%
in the bottom 22% nationally
Lower is healthier
ST4thUS22ndDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Radon
2.4 pCi/L
in the top 24% nationally
Lower is healthier
ST91stUS76thDefinition & source ›
The modeled typical indoor radon level for this area, in picocuries per liter — the EPA recommends fixing a home at 4 pCi/L or above.
Modeled from indoor-radon measurements. In Alaska and Hawaii, where those measurements are not published, a US Geological Survey geologic radon-potential category stands in — a coarser input, disclosed rather than hidden.
Full methodology ›Short sleep
38.6%
in the top 27% nationally
Lower is healthier
ST9thUS73rdDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Distance to a community health center
5.8 mi
in the top 35% nationally
Lower is healthier
ST93rdUS65thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest federally funded community health center, which serves patients regardless of ability to pay.
Full methodology ›The read
In overall standing, New Creek, West Virginia (ZIP 26743) comes out in the bottom 30% nationally (22,320th) and the top 8.1% of West Virginia (56th).
The profile opens balanced, with readings on either hand: modeled tree cover sits in the top 3.7% nationally, housing-cost burden settles in the bottom 7.1% nationally, and floodplain exposure registers in the bottom 12.9% nationally. Modeled arsenic stands in the bottom 12.9% nationally, modeled colon screening lands in the top 11.0% nationally, and home broadband subscription is in the top 16% nationally. By contrast, fiber broadband resides at the national minimum, shared with about 19% of ZIPs. Fatal road crashes rests in the top 12.0% nationally, and modeled high cholesterol lies in the top 11.6% nationally. Modeled high blood pressure sits in the top 14.9% nationally.
In plain terms, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". The nearest healthier ZIP overall is ZIP 26726, 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.
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%
Preventive Care
healthier than 80%
13%
Climate / Disaster Risk
healthier than 79%
5%
About typical
Social Need / SDOH
healthier than 56%
16%
Holding it back
Chronic Disease Burden
healthier than 13%
21%
Risk Behavior
healthier than 36%
11%
Mental Health
healthier than 8%
8%
Disability
healthier than 38%
7%
Healthcare Access
healthier than 36%
5%
Lifting this score
Chronic Disease Burden
healthier than 82%
21%
Social Need / SDOH
healthier than 84%
16%
Environmental Hazard
healthier than 62%
14%
Preventive Care
healthier than 92%
13%
Risk Behavior
healthier than 95%
11%
Mental Health
healthier than 91%
8%
Disability
healthier than 90%
7%
Climate / Disaster Risk
healthier than 76%
5%
Holding it back
Healthcare Access
healthier than 22%
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 ›
Findings that name this ZIP
One of our published findings lists this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.
Clean environment, heavy chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 73.1; chronic-disease standing 12.8 — 60 points apart, cleaner on the environment than it is on chronic illness.
Ranked #1,704 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
26710
West Virginiashares a border
Score 44.98
Closest healthier
26726
West Virginiashares a border
Score 45.83
Similar health profile
24938
West Virginia99% similar profile
Score 45.90
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 | 39.8% | 36.8–42.8 |
| High blood pressure among adults | 44.2% | 40.8–47.7 |
| Cancer (non-skin) or melanoma among adults | 10.9% | 10.1–11.9 |
| Current asthma among adults | 11.8% | 10.6–13.0 |
| Coronary heart disease among adults | 9.1% | 8.1–10.1 |
| Chronic obstructive pulmonary disease among adults | 10.0% | 8.6–11.5 |
| Depression among adults | 29.9% | 26.7–33.4 |
| Diagnosed diabetes among adults | 15.6% | 13.9–17.6 |
| High cholesterol among adults who have ever been screened | 42.8% | 39.3–46.4 |
| Obesity among adults | 39.3% | 33.5–45.2 |
| Stroke among adults | 4.1% | 3.7–4.6 |
| All teeth lost among adults aged >=65 years | 20.1% | 17.2–23.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.6% | 5.3–8.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.9% | 79.8–83.9 |
| Visits to doctor for routine checkup within the past year among adults | 82.1% | 79.4–84.5 |
| Cholesterol screening among adults | 89.0% | 87.4–90.5 |
| Colorectal cancer screening among adults aged 45–75 years | 71.9% | 67.7–76.0 |
| Visited dentist or dental clinic in the past year among adults | 56.3% | 52.9–59.8 |
| Mammography use among women aged 50-74 years | 75.3% | 68.7–81.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.0% | 12.0–16.3 |
| Current cigarette smoking among adults | 16.9% | 14.3–19.9 |
| No leisure-time physical activity among adults | 30.0% | 25.9–34.3 |
| Short sleep duration among adults | 38.6% | 33.4–44.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 22.9% | 20.0–26.0 |
| Frequent mental distress among adults | 19.0% | 17.0–21.0 |
| Frequent physical distress among adults | 16.4% | 14.6–18.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.0% | 14.2–18.1 |
| Any disability among adults | 36.5% | 32.6–40.8 |
| Hearing disability among adults | 9.3% | 8.4–10.4 |
| Independent living disability among adults | 9.4% | 8.2–10.7 |
| Mobility disability among adults | 17.6% | 15.2–20.1 |
| Self-care disability among adults | 3.9% | 3.4–4.5 |
| Vision disability among adults | 4.8% | 4.3–5.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.1% | 18.1–24.5 |
| Food insecurity in the past 12 months among adults | 11.8% | 9.5–14.2 |
| Received food stamps in the past 12 months among adults | 12.8% | 10.1–15.6 |
| Housing insecurity in the past 12 months among adults | 9.5% | 7.8–11.3 |
| Lack of reliable transportation in the past 12 months among adults | 6.9% | 5.9–8.0 |
| Loneliness among adults | 30.9% | 26.7–35.5 |
| Utility services shut-off threat in the past 12 months among adults | 8.3% | 7.0–9.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 14.2% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 6.6% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 2.5% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 12.8% | 23.3% (9.2–53.6%) n=32,505 | 14.1% (0.0–32.5%) n=695 |
| Unemployment rate (16+) | 7.0% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–17.9%) n=668 |
| Households without a vehicle | 1.7% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 95.8% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 7.8% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 90.6% | 78.7% (51.7–94.0%) n=32,322 | 84.0% (61.6–100.0%) n=694 |
| Crowded housing (>1 per room) | 2.3% | 1.3% (0.0–6.3%) n=32,322 | 0.0% (0.0–4.1%) n=694 |
| Foreign-born population | 0.9% | 2.6% (0.0–18.6%) n=32,553 | 0.0% (0.0–2.1%) n=696 |
| Single-parent households | 65.4% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 21.4% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 47.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $61,331 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $198,100 | $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 | 72.4 yr ± 1.08 | 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 1.08 years of 72.4, 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