ZIP code
26187
in Williamstown, West VirginiaPopulation 6,060
47.16/ 100
Ranked #19,968 of 32,066 US ZIPs (bottom 38%)
Ranked #34 of 697 West Virginia ZIPs (top 4.9%)
Ranked #2 of 13 Parkersburg-Vienna, WV ZIPs (top 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.
PFAS in drinking water
66.4%
in the top 5.5% nationally
Lower is healthier
ST97thUS95thDefinition & source ›
The modeled probability that PFAS “forever chemicals” would be detected in untreated groundwater in this area, the source private wells draw on.
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 ›Mental-health provider access
0.16 per 1,000 residents
in the top 6.0% nationally
Higher is healthier
ST95thUS94thDefinition & source ›
The number of mental-health clinics located 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 ›Distance to a Superfund site
2.1 mi
in the bottom 11.2% nationally
Higher is healthier
ST5thUS11thDefinition & 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 ›Mammography
80.1%
in the top 10.6% nationally
Higher is healthier
ST97thUS89thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Floodplain exposure
24.8%
in the top 13.3% nationally
Lower is healthier
ST98thUS87thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›Energy-cost burden
2.1%
in the bottom 14.4% nationally
Lower is healthier
ST2ndUS14thDefinition & 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 ›PFOA in drinking water
36.2%
in the top 18% nationally
Lower is healthier
ST92ndUS82ndDefinition & 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 ›Colon-cancer screening
70.9%
in the top 16% nationally
Higher is healthier
ST92ndUS84thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Tree cover
51.8%
in the top 21% nationally
Higher is healthier
ST10thUS79thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Uninsured (under 65)
5.8%
in the bottom 12.7% nationally
Lower is healthier
ST1stUS13thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›The read
Williamstown, West Virginia (ZIP 26187), by its composite score, sits in the bottom 38% nationally (19,968th) and the top 4.9% of West Virginia (34th).
The measures land in both directions, and neither dominates: mental-health providers sits in the top 6.0% nationally, and modeled mammography lies in the top 10.6% nationally. Crowded housing rests at the national minimum, shared with about 29% of ZIPs. Modeled energy burden resides in the bottom 14.4% nationally. Pulling the other way, modeled pfas is in the top 5.5% nationally. Fiber broadband lands at the national minimum, shared with about 19% of ZIPs. Distance to a Superfund site stands in the bottom 11.2% nationally, floodplain exposure registers in the top 13.3% nationally, and modeled industrial-pollution burden settles in the top 16% nationally. PFOA in drinking water sits in the top 18% nationally.
Next to the surrounding area, park land runs far lower than the surrounding ZIPs on this measure. For anyone unfamiliar, pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. Distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. For a healthier comparison close by, see ZIP 45729, about 2.7 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 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 83%
16%
Preventive Care
healthier than 90%
13%
Healthcare Access
healthier than 80%
5%
About typical
Disability
healthier than 57%
7%
Holding it back
Chronic Disease Burden
healthier than 26%
21%
Environmental Hazard
healthier than 10%
14%
Risk Behavior
healthier than 38%
11%
Mental Health
healthier than 7%
8%
Climate / Disaster Risk
healthier than 27%
5%
Lifting this score
Chronic Disease Burden
healthier than 93%
21%
Social Need / SDOH
healthier than 99%
16%
Preventive Care
healthier than 99%
13%
Risk Behavior
healthier than 95%
11%
Mental Health
healthier than 90%
8%
Disability
healthier than 97%
7%
Healthcare Access
healthier than 89%
5%
Holding it back
Environmental Hazard
healthier than 4%
14%
Climate / Disaster Risk
healthier than 2%
5%
Lifting this score
Chronic Disease Burden
healthier than 92%
21%
Social Need / SDOH
in the top 0.00%
16%
Preventive Care
healthier than 83%
13%
Risk Behavior
healthier than 83%
11%
Mental Health
healthier than 92%
8%
Disability
in the top 0.00%
7%
Healthcare Access
healthier than 75%
5%
Holding it back
Environmental Hazard
healthier than 8%
14%
Climate / Disaster Risk
in the bottom 0.00%
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.
Above its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 80.5 ± 2.6 years. The 50 nearest ZIP codes with estimates average 77.2 years — 3.3 years above them.
Ranked #637 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
26104
West Virginiashares a border
Score 40.28
Closest healthier
45729
Ohioabout 2.7 mi away
Score 47.52
Similar health profile
25303
West Virginia97% similar profile
Score 46.86
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 | 37.2% | 33.7–40.7 |
| High blood pressure among adults | 42.7% | 38.7–46.7 |
| Cancer (non-skin) or melanoma among adults | 10.4% | 9.4–11.4 |
| Current asthma among adults | 11.5% | 10.1–13.0 |
| Coronary heart disease among adults | 7.6% | 6.7–8.5 |
| Chronic obstructive pulmonary disease among adults | 8.3% | 7.2–9.5 |
| Depression among adults | 30.6% | 26.8–34.5 |
| Diagnosed diabetes among adults | 14.3% | 12.4–16.4 |
| High cholesterol among adults who have ever been screened | 42.1% | 38.2–46.2 |
| Obesity among adults | 40.8% | 35.0–46.7 |
| Stroke among adults | 3.5% | 3.1–3.9 |
| All teeth lost among adults aged >=65 years | 13.7% | 11.3–16.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.8% | 4.7–7.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.0% | 77.1–82.5 |
| Visits to doctor for routine checkup within the past year among adults | 82.9% | 79.8–85.5 |
| Cholesterol screening among adults | 89.7% | 88.1–91.2 |
| Colorectal cancer screening among adults aged 45–75 years | 70.9% | 66.6–74.7 |
| Visited dentist or dental clinic in the past year among adults | 62.1% | 58.6–65.4 |
| Mammography use among women aged 50-74 years | 80.1% | 74.1–85.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.2% | 12.6–18.0 |
| Current cigarette smoking among adults | 15.0% | 12.5–17.7 |
| No leisure-time physical activity among adults | 27.7% | 23.4–32.2 |
| Short sleep duration among adults | 39.6% | 34.5–44.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.3% | 17.6–23.2 |
| Frequent mental distress among adults | 18.7% | 16.4–21.0 |
| Frequent physical distress among adults | 15.0% | 13.1–17.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.2% | 13.3–17.3 |
| Any disability among adults | 33.3% | 29.1–37.6 |
| Hearing disability among adults | 7.7% | 6.7–8.7 |
| Independent living disability among adults | 8.4% | 7.3–9.6 |
| Mobility disability among adults | 15.3% | 13.1–17.5 |
| Self-care disability among adults | 3.4% | 3.0–3.8 |
| Vision disability among adults | 4.2% | 3.7–4.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.7% | 16.7–22.8 |
| Food insecurity in the past 12 months among adults | 10.8% | 8.7–12.8 |
| Received food stamps in the past 12 months among adults | 11.3% | 9.1–13.5 |
| Housing insecurity in the past 12 months among adults | 9.0% | 7.4–10.6 |
| Lack of reliable transportation in the past 12 months among adults | 6.4% | 5.5–7.3 |
| Loneliness among adults | 30.9% | 26.8–35.2 |
| Utility services shut-off threat in the past 12 months among adults | 7.9% | 6.7–9.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.8% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 10.3% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 3.5% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 35.8% | 23.3% (9.2–53.6%) n=32,505 | 14.1% (0.0–32.5%) n=695 |
| Unemployment rate (16+) | 2.4% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–17.9%) n=668 |
| Households without a vehicle | 5.1% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 90.5% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 18.7% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 85.6% | 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 | 0.4% | 2.6% (0.0–18.6%) n=32,553 | 0.0% (0.0–2.1%) n=696 |
| Single-parent households | 61.4% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 26.1% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 48.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $83,226 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $198,300 | $222,200 ($100,300–$579,820) n=30,049 | $125,600 ($66,920–$223,500) n=553 |
| Median gross rent | $887 | $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 | 80.5 yr ± 1.35 | 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 1.35 years of 80.5, 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