ZIP code
15470
in Ohiopyle, PennsylvaniaPopulation 601
49.67/ 100
Ranked #16,696 of 32,066 US ZIPs (bottom 48%)
Ranked #906 of 1,748 Pennsylvania ZIPs (bottom 48%)
Ranked #219 of 376 Pittsburgh, PA ZIPs (bottom 42%)
Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.
Some domains have limited local data — read this Score as directional
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
83.7%
in the top 3.5% nationally
Higher is healthier
ST95thUS97thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Arsenic in groundwater
1.5%
in the bottom 13.2% nationally
Lower is healthier
ST7thUS13thDefinition & 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 ›Distance to a Superfund site
35 mi
in the top 23% nationally
Higher is healthier
ST98thUS77thDefinition & 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 ›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 ›The read
With only some of the sources reporting, ZIP 15470, one of several in Ohiopyle, Pennsylvania lands in the bottom 48% nationally (16,696th) and the bottom 48% of Pennsylvania (906th), based on limited data; treat as directional.
This area's available measures are set out plainly: modeled tree cover settles in the top 3.5% nationally. Modeled extreme heat is at the national minimum, shared with about 19% of ZIPs. Modeled expected annual loss sits in the bottom 11.2% nationally, and arsenic lands in the bottom 13.2% nationally. Floodplain exposure lies in the bottom 13.8% nationally. Outer-floodplain exposure stands at the national minimum, shared with about 36% of ZIPs. Fiber broadband rests in the top 18% nationally, and homeownership registers in the top 19% nationally. Against that, recreation resides at the national minimum, shared with about 35% of ZIPs. Physicians settles at the national minimum, shared with about 38% of ZIPs.
Put simply, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. On the overall standing, ZIP 15421, just across the boundary, ranks healthier.
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 81%
16%
Preventive CarePartial
healthier than 60%
15%
Climate / Disaster Risk
healthier than 94%
6%
Holding it back
Social Need / SDOH
healthier than 23%
19%
Healthcare Access
healthier than 32%
6%
Not placed: Chronic Disease Burden and Risk Behavior — too little of each is measured here to compare reliably. They still count toward the score (together 38% of it); we just will not publish a standing we cannot stand behind.
No data: Mental Health and Disability — not measured in this ZIP, so it is left out of the score entirely rather than estimated.
“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
15421
Pennsylvaniashares a border
Score 50.44
Closest healthier
15436
Pennsylvaniaabout 3.0 mi away
Score 50.17
Similar health profile
12810
New York99% similar profile
Score 49.15
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 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| All teeth lost among adults aged >=65 years | 16.7% | 13.6–20.3 |
PreventionCDC PLACES 2022 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Colorectal cancer screening among adults aged 45–75 years | 67.0% | 61.7–71.7 |
| Visited dentist or dental clinic in the past year among adults | 60.7% | 56.8–64.4 |
| Mammography use among women aged 50-74 years | 77.2% | 69.7–83.4 |
Health Risk BehaviorsCDC PLACES 2022 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Short sleep duration among adults | 36.1% | 29.8–42.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | PA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 9.7% | 10.6% (3.1–25.8%) n=32,364 | 9.3% (2.1–21.6%) n=1,759 |
| Uninsured 18–64 | 2.3% | 9.0% (1.5–24.3%) n=32,286 | 6.3% (0.0–16.6%) n=1,753 |
| No HS diploma (25+) | 7.4% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.1%) n=1,762 |
| Bachelor's or higher (25+) | 36.2% | 23.3% (9.2–53.6%) n=32,505 | 21.9% (8.9–50.4%) n=1,762 |
| Unemployment rate (16+) | 1.8% | 3.9% (0.0–9.8%) n=32,274 | 3.9% (0.0–9.6%) n=1,755 |
| Households without a vehicle | 1.5% | 3.9% (0.0–12.5%) n=32,322 | 4.8% (0.0–15.6%) n=1,758 |
| Broadband subscription | 94.6% | 89.3% (75.1–97.1%) n=32,322 | 88.2% (75.7–97.3%) n=1,758 |
| Housing cost burden (≥30% income) | 25.8% | 23.7% (10.6–40.0%) n=32,322 | 21.9% (9.9–35.3%) n=1,758 |
| Homeownership rate | 89.6% | 78.7% (51.7–94.0%) n=32,322 | 80.1% (57.1–94.5%) n=1,758 |
| Crowded housing (>1 per room) | 2.3% | 1.3% (0.0–6.3%) n=32,322 | 0.6% (0.0–3.3%) n=1,758 |
| Foreign-born population | 4.3% | 2.6% (0.0–18.6%) n=32,553 | 1.4% (0.0–10.2%) n=1,763 |
| Single-parent households | 63.2% | 53.6% (37.3–74.1%) n=32,087 | 56.3% (38.5–72.8%) n=1,744 |
| Population 65+ | 30.9% | 19.4% (10.8–33.6%) n=32,553 | 21.1% (12.3–31.4%) n=1,763 |
| Median age | 56.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (33.9–55.5) n=1,752 |
| Median household income | $80,750 | $72,070 ($46,039–$118,707) n=30,318 | $71,250 ($50,880–$112,747) n=1,642 |
| Median home value | $225,000 | $222,200 ($100,300–$579,820) n=30,049 | $197,200 ($99,000–$382,120) n=1,649 |
| Median gross rent | — | $1,021 ($677–$1,912) n=25,670 | $983 ($701–$1,527) n=1,367 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | PA median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 75.6 yr ± 1.27 | 78.9 yr (74.7–82.8) n=31,308 | 79.2 yr (76.0–82.0) n=1,730 |
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 75.6, 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