ZIP code
16866
in Philipsburg, PennsylvaniaPopulation 9,152
42.83/ 100
Ranked #24,526 of 32,066 US ZIPs (bottom 24%)
Ranked #1,496 of 1,748 Pennsylvania ZIPs (bottom 14.5%)
Ranked #25 of 29 State College, PA ZIPs (bottom 13.8%)
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
84.2%
in the top 3.4% nationally
Higher is healthier
ST95thUS97thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Park land
35.1%
in the top 3.9% nationally
Higher is healthier
ST98thUS96thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Median household income
$49,968
in the bottom 14.2% nationally
Higher is healthier
ST9thUS14thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Subsidized affordable housing
86 units
in the top 19% nationally
Higher is healthier
ST91stUS81stDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Industrial-pollution burden
in the bottom 21% nationally
Lower is healthier
ST3rdUS21stDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
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
On the limited readings gathered so far, Philipsburg, Pennsylvania (ZIP 16866) lands in the bottom 24% nationally (24,526th) and the bottom 14.5% of Pennsylvania (1,496th), based on limited data; treat as directional.
A few available readings carry what can be said: modeled tree cover stands in the top 3.4% nationally, and park land resides in the top 3.9% nationally. Modeled extreme heat sits at the national minimum, shared with about 19% of ZIPs. Distance to a nursing home stands at the national minimum, shared with about 27% of ZIPs. Elder services resides in the top 15% nationally, and dental providers sits in the top 18% nationally. Working the other way, modeled radon stands in the top 12.2% nationally, and households without a vehicle resides in the top 11.4% nationally. Modeled energy burden sits in the top 11.3% nationally. Distance to a hazardous-chemical facility stands at the national minimum, shared with about 31% of ZIPs.
Placed beside its immediate neighbors, park land runs far higher than the surrounding ZIPs on this measure. Put plainly, radon is a radioactive soil gas the EPA identifies as the top cause of lung cancer in nonsmokers. 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. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. A healthier nearby ZIP overall is ZIP 16677, 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
Climate / Disaster Risk
healthier than 85%
6%
About typical
Environmental Hazard
healthier than 55%
16%
Holding it back
Social Need / SDOH
healthier than 19%
19%
Preventive CarePartial
healthier than 30%
15%
Healthcare Access
healthier than 34%
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
16651
Pennsylvaniashares a border
Score 36.03
Closest healthier
16677
Pennsylvaniashares a border
Score 57.01
Similar health profile
43084
Ohio99% similar profile
Score 43.62
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 | 18.2% | 15.4–21.1 |
PreventionCDC PLACES 2022 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Colorectal cancer screening among adults aged 45–75 years | 63.1% | 59.1–67.0 |
| Visited dentist or dental clinic in the past year among adults | 55.8% | 52.6–59.0 |
| Mammography use among women aged 50-74 years | 76.0% | 70.0–81.4 |
Health Risk BehaviorsCDC PLACES 2022 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Short sleep duration among adults | 39.7% | 34.9–44.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | PA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 15.9% | 10.6% (3.1–25.8%) n=32,364 | 9.3% (2.1–21.6%) n=1,759 |
| Uninsured 18–64 | 6.8% | 9.0% (1.5–24.3%) n=32,286 | 6.3% (0.0–16.6%) n=1,753 |
| No HS diploma (25+) | 13.2% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.1%) n=1,762 |
| Bachelor's or higher (25+) | 19.7% | 23.3% (9.2–53.6%) n=32,505 | 21.9% (8.9–50.4%) n=1,762 |
| Unemployment rate (16+) | 4.5% | 3.9% (0.0–9.8%) n=32,274 | 3.9% (0.0–9.6%) n=1,755 |
| Households without a vehicle | 11.7% | 3.9% (0.0–12.5%) n=32,322 | 4.8% (0.0–15.6%) n=1,758 |
| Broadband subscription | 82.4% | 89.3% (75.1–97.1%) n=32,322 | 88.2% (75.7–97.3%) n=1,758 |
| Housing cost burden (≥30% income) | 24.1% | 23.7% (10.6–40.0%) n=32,322 | 21.9% (9.9–35.3%) n=1,758 |
| Homeownership rate | 66.1% | 78.7% (51.7–94.0%) n=32,322 | 80.1% (57.1–94.5%) n=1,758 |
| Crowded housing (>1 per room) | 1.2% | 1.3% (0.0–6.3%) n=32,322 | 0.6% (0.0–3.3%) n=1,758 |
| Foreign-born population | 8.7% | 2.6% (0.0–18.6%) n=32,553 | 1.4% (0.0–10.2%) n=1,763 |
| Single-parent households | 57.2% | 53.6% (37.3–74.1%) n=32,087 | 56.3% (38.5–72.8%) n=1,744 |
| Population 65+ | 21.2% | 19.4% (10.8–33.6%) n=32,553 | 21.1% (12.3–31.4%) n=1,763 |
| Median age | 42.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (33.9–55.5) n=1,752 |
| Median household income | $49,968 | $72,070 ($46,039–$118,707) n=30,318 | $71,250 ($50,880–$112,747) n=1,642 |
| Median home value | $150,300 | $222,200 ($100,300–$579,820) n=30,049 | $197,200 ($99,000–$382,120) n=1,649 |
| Median gross rent | $758 | $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 | 78.0 yr ± 0.70 | 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 0.70 years of 78.0, 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