ZIP code
18342
in Mountainhome, PennsylvaniaPopulation 503
55.81/ 100
Ranked #8,506 of 32,066 US ZIPs (top 27%)
Ranked #409 of 1,748 Pennsylvania ZIPs (top 23%)
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
92.4%
in the top 0.7% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Park land
62.1%
in the top 1.5% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Poverty rate
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Households without a vehicle
24%
in the top 3.4% nationally
Lower is healthier
ST95thUS97thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Homeownership rate
41.3%
in the bottom 5.7% nationally
Higher is healthier
ST4thUS6thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Distance to a nursing home
11.5 mi
in the top 8.7% nationally
Lower is healthier
ST98thUS91stDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Mammography
80.3%
in the top 9.6% nationally
Higher is healthier
ST89thUS90thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
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
Given the gaps in coverage here, Mountainhome, Pennsylvania (ZIP 18342) lands in the top 27% healthiest ZIPs nationally (8,506th) and the top 23% of Pennsylvania (409th), based on limited data; treat as directional.
On what has been documented so far, the readings are limited but real: modeled tree cover stands in the top 0.7% nationally, park land lands in the top 1.5% nationally, and poverty is at the national minimum. Modeled extreme heat resides at the national minimum, shared with about 19% of ZIPs. Modeled mammography rests in the top 9.6% nationally. Working the other way, households without a vehicle lies in the top 3.4% nationally, and homeownership sits in the bottom 5.7% nationally. Distance to a nursing home settles in the top 8.7% nationally. Fiber broadband registers at the national minimum, shared with about 19% of ZIPs. Unemployment stands in the top 10.5% nationally.
Held up against its neighbors, park land runs far higher than the surrounding ZIPs on this measure. Defined in plain terms, extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. The nearest ZIP ranking healthier overall is ZIP 18323, 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 88%
16%
Preventive CarePartial
healthier than 85%
15%
Climate / Disaster Risk
healthier than 94%
6%
Holding it back
Social Need / SDOH
healthier than 25%
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
18323
Pennsylvaniashares a border
Score 62.05
Closest healthier
18325
Pennsylvanialess than 0.1 mi away
Score 58.34
Similar health profile
18256
Pennsylvania98% similar profile
Score 55.02
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 | 11.3% | 9.1–13.9 |
PreventionCDC PLACES 2022 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Colorectal cancer screening among adults aged 45–75 years | 66.0% | 61.3–70.6 |
| Visited dentist or dental clinic in the past year among adults | 67.6% | 64.2–71.1 |
| Mammography use among women aged 50-74 years | 80.3% | 73.3–86.2 |
Health Risk BehaviorsCDC PLACES 2022 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Short sleep duration among adults | 37.4% | 31.0–44.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | PA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 0.0% | 10.6% (3.1–25.8%) n=32,364 | 9.3% (2.1–21.6%) n=1,759 |
| Uninsured 18–64 | 0.0% | 9.0% (1.5–24.3%) n=32,286 | 6.3% (0.0–16.6%) n=1,753 |
| No HS diploma (25+) | 0.0% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.1%) n=1,762 |
| Bachelor's or higher (25+) | 39.8% | 23.3% (9.2–53.6%) n=32,505 | 21.9% (8.9–50.4%) n=1,762 |
| Unemployment rate (16+) | 9.6% | 3.9% (0.0–9.8%) n=32,274 | 3.9% (0.0–9.6%) n=1,755 |
| Households without a vehicle | 24.0% | 3.9% (0.0–12.5%) n=32,322 | 4.8% (0.0–15.6%) n=1,758 |
| Broadband subscription | 85.5% | 89.3% (75.1–97.1%) n=32,322 | 88.2% (75.7–97.3%) n=1,758 |
| Housing cost burden (≥30% income) | 34.3% | 23.7% (10.6–40.0%) n=32,322 | 21.9% (9.9–35.3%) n=1,758 |
| Homeownership rate | 41.3% | 78.7% (51.7–94.0%) n=32,322 | 80.1% (57.1–94.5%) n=1,758 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 0.6% (0.0–3.3%) n=1,758 |
| Foreign-born population | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 1.4% (0.0–10.2%) n=1,763 |
| Single-parent households | 40.3% | 53.6% (37.3–74.1%) n=32,087 | 56.3% (38.5–72.8%) n=1,744 |
| Population 65+ | 9.9% | 19.4% (10.8–33.6%) n=32,553 | 21.1% (12.3–31.4%) n=1,763 |
| Median age | 27.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (33.9–55.5) n=1,752 |
| Median household income | $68,843 | $72,070 ($46,039–$118,707) n=30,318 | $71,250 ($50,880–$112,747) n=1,642 |
| Median home value | $218,600 | $222,200 ($100,300–$579,820) n=30,049 | $197,200 ($99,000–$382,120) n=1,649 |
| Median gross rent | $1,138 | $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 | 80.3 yr ± 2.34 | 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 2.34 years of 80.3, 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