ZIP code
26170
in St. Marys, West VirginiaPopulation 5,701
40.92/ 100
Ranked #26,090 of 32,066 US ZIPs (bottom 19%)
Ranked #140 of 697 West Virginia ZIPs (top 20%)
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
81.8%
in the top 4.2% nationally
Higher is healthier
ST47thUS96thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Mental-health provider access
0.16 per 1,000 residents
in the top 6.1% nationally
Higher is healthier
ST94thUS94thDefinition & 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 ›Short sleep
42.4%
in the top 8.0% nationally
Lower is healthier
ST49thUS92ndDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Obesity
44.2%
in the top 5.8% nationally
Lower is healthier
ST72ndUS94thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Elder-services access
0.16 per 1,000 residents
in the top 9.4% nationally
Higher is healthier
ST92ndUS91stDefinition & 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 ›Energy-cost burden
2.1%
in the bottom 15% nationally
Lower is healthier
ST3rdUS15thDefinition & 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 ›Mammography
78.5%
in the top 22% nationally
Higher is healthier
ST91stUS78thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›The read
On the composite measure, St. Marys, West Virginia (ZIP 26170) stands in the bottom 19% nationally (26,090th) and the top 20% of West Virginia (140th).
Several signals sit on each side of the ledger here: modeled tree cover is in the top 4.2% nationally, and mental-health providers registers in the top 6.1% nationally. Elder services lies in the top 9.4% nationally, and grocery is in the top 10.6% nationally. Distance to a community health center registers at the national minimum, shared with about 23% of ZIPs. Pharmacy lies in the top 12.6% nationally. Working the other way, modeled short sleep is in the top 8.0% nationally, obesity registers in the top 5.8% nationally, and high cholesterol lies in the top 10.6% nationally. Distance to a hazardous-chemical facility is at the national minimum, shared with about 31% of ZIPs.
For clarity, 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. ZIP 26184, just across the boundary, ranks better overall among the ZIPs nearby.
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 74%
16%
Preventive Care
healthier than 61%
13%
Healthcare Access
healthier than 75%
5%
About typical
Climate / Disaster Risk
healthier than 56%
5%
Holding it back
Chronic Disease Burden
healthier than 15%
21%
Environmental Hazard
healthier than 25%
14%
Risk Behavior
healthier than 8%
11%
Mental Health
healthier than 3%
8%
Disability
healthier than 31%
7%
Lifting this score
Chronic Disease Burden
healthier than 85%
21%
Social Need / SDOH
healthier than 96%
16%
Preventive Care
healthier than 66%
13%
Mental Health
healthier than 61%
8%
Disability
healthier than 85%
7%
Healthcare Access
healthier than 84%
5%
About typical
Risk Behavior
healthier than 57%
11%
Holding it back
Environmental Hazard
healthier than 18%
14%
Climate / Disaster Risk
healthier than 16%
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.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 76.1 ± 1.7 years. A median household income of $68,125 predicts 78.6 years — 2.5 years below.
Ranked #3,386 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
26134
West Virginiashares a border
Score 37.49
Closest healthier
26184
West Virginiashares a border
Score 42.74
Similar health profile
25081
West Virginia99% similar profile
Score 39.60
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 | 37.4% | 33.8–41.0 |
| High blood pressure among adults | 43.8% | 39.4–48.0 |
| Cancer (non-skin) or melanoma among adults | 9.3% | 8.4–10.3 |
| Current asthma among adults | 11.9% | 10.6–13.2 |
| Coronary heart disease among adults | 8.3% | 7.4–9.2 |
| Chronic obstructive pulmonary disease among adults | 10.2% | 9.0–11.5 |
| Depression among adults | 30.8% | 26.9–35.0 |
| Diagnosed diabetes among adults | 15.2% | 13.2–17.2 |
| High cholesterol among adults who have ever been screened | 43.0% | 38.5–47.4 |
| Obesity among adults | 44.2% | 35.8–52.4 |
| Stroke among adults | 4.0% | 3.6–4.3 |
| All teeth lost among adults aged >=65 years | 19.0% | 15.5–22.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.5% | 7.0–10.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.5% | 75.6–81.0 |
| Visits to doctor for routine checkup within the past year among adults | 79.6% | 76.1–82.8 |
| Cholesterol screening among adults | 86.5% | 84.5–88.3 |
| Colorectal cancer screening among adults aged 45–75 years | 68.2% | 63.2–72.8 |
| Visited dentist or dental clinic in the past year among adults | 56.2% | 52.2–60.1 |
| Mammography use among women aged 50-74 years | 78.5% | 71.1–84.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.1% | 12.3–18.1 |
| Current cigarette smoking among adults | 20.2% | 17.4–23.3 |
| No leisure-time physical activity among adults | 33.1% | 28.2–38.1 |
| Short sleep duration among adults | 42.4% | 35.2–49.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 25.0% | 22.0–28.4 |
| Frequent mental distress among adults | 21.0% | 18.8–23.3 |
| Frequent physical distress among adults | 17.0% | 15.1–19.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.3% | 16.3–20.5 |
| Any disability among adults | 38.4% | 33.8–42.9 |
| Hearing disability among adults | 8.7% | 7.7–9.6 |
| Independent living disability among adults | 10.1% | 9.0–11.3 |
| Mobility disability among adults | 17.6% | 15.4–20.0 |
| Self-care disability among adults | 4.3% | 3.8–4.8 |
| Vision disability among adults | 5.3% | 4.7–5.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.7% | 20.2–27.7 |
| Food insecurity in the past 12 months among adults | 14.9% | 12.7–17.5 |
| Received food stamps in the past 12 months among adults | 15.8% | 13.5–18.4 |
| Housing insecurity in the past 12 months among adults | 11.7% | 10.0–13.7 |
| Lack of reliable transportation in the past 12 months among adults | 8.3% | 7.3–9.6 |
| Loneliness among adults | 33.4% | 28.4–38.9 |
| Utility services shut-off threat in the past 12 months among adults | 10.3% | 8.9–11.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 7.1% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 13.4% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 12.3% | 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+) | 4.3% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–17.9%) n=668 |
| Households without a vehicle | 2.4% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 92.4% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 18.5% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 84.1% | 78.7% (51.7–94.0%) n=32,322 | 84.0% (61.6–100.0%) n=694 |
| Crowded housing (>1 per room) | 1.3% | 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 | 64.0% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 19.0% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 44.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $68,125 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $151,800 | $222,200 ($100,300–$579,820) n=30,049 | $125,600 ($66,920–$223,500) n=553 |
| Median gross rent | $770 | $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 | 76.1 yr ± 0.87 | 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 0.87 years of 76.1, 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