ZIP code
15352
in New Freeport, PennsylvaniaPopulation 635
47.31/ 100
Ranked #19,779 of 32,066 US ZIPs (bottom 38%)
Ranked #1,159 of 1,748 Pennsylvania ZIPs (bottom 34%)
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
84.6%
in the top 3.2% nationally
Higher is healthier
ST95thUS97thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Slow internet speeds
3.3%
in the top 3.6% nationally
Lower is healthier
ST98thUS96thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Walkability
4.1 intersections/sq mi
in the bottom 26% nationally
Higher is healthier
ST6thUS26thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›PFAS in drinking water
16.4%
in the bottom 26% nationally
Lower is healthier
ST9thUS26thDefinition & 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 ›Colon-cancer screening
62.1%
in the bottom 23% nationally
Higher is healthier
ST6thUS23rdDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›The read
Given how limited the coverage is here, New Freeport, Pennsylvania (ZIP 15352) lands in the bottom 38% nationally (19,779th) and the bottom 34% of Pennsylvania (1,159th), based on limited data; treat as directional.
Where the data reaches, it shows a few things about this area: modeled tree cover registers in the top 3.2% nationally. Modeled extreme heat rests at the national minimum, shared with about 19% of ZIPs. Modeled expected annual loss stands in the bottom 16% nationally. Outer-floodplain exposure lies at the national minimum, shared with about 36% of ZIPs. By contrast, slow internet speeds lands in the top 3.6% nationally. Recreation sits at the national minimum, shared with about 35% of ZIPs. Distance to an emergency room is in the top 19% nationally. Physicians settles at the national minimum, shared with about 38% of ZIPs. Unemployment resides in the top 19% nationally. Childcare registers at the national minimum, shared with about 42% of ZIPs.
Set beside the nearby areas, slow internet speeds runs far higher than the surrounding ZIPs on this measure. A note on the terms: expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. Outer-floodplain exposure is land with a lower but real 1-in-500 chance of flooding each year, nicknamed the "500-year floodplain". For a healthier nearby comparison, ZIP 15310, just across the boundary, ranks better overall.
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 79%
6%
About typical
Environmental Hazard
healthier than 51%
16%
Preventive CarePartial
healthier than 44%
15%
Holding it back
Social Need / SDOH
healthier than 22%
19%
Healthcare Access
healthier than 37%
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
15310
Pennsylvaniashares a border
Score 54.04
Closest healthier
15316
Pennsylvaniashares a border
Score 49.42
Similar health profile
44853
Ohio99% similar profile
Score 46.48
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 | 15.7% | 12.6–19.1 |
PreventionCDC PLACES 2022 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Colorectal cancer screening among adults aged 45–75 years | 62.1% | 56.6–67.2 |
| Visited dentist or dental clinic in the past year among adults | 64.1% | 60.2–67.7 |
| Mammography use among women aged 50-74 years | 76.4% | 68.0–83.2 |
Health Risk BehaviorsCDC PLACES 2022 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Short sleep duration among adults | 38.2% | 31.1–45.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | PA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 10.7% | 10.6% (3.1–25.8%) n=32,364 | 9.3% (2.1–21.6%) n=1,759 |
| Uninsured 18–64 | 8.5% | 9.0% (1.5–24.3%) n=32,286 | 6.3% (0.0–16.6%) n=1,753 |
| No HS diploma (25+) | 17.3% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.1%) n=1,762 |
| Bachelor's or higher (25+) | 10.9% | 23.3% (9.2–53.6%) n=32,505 | 21.9% (8.9–50.4%) n=1,762 |
| Unemployment rate (16+) | 7.2% | 3.9% (0.0–9.8%) n=32,274 | 3.9% (0.0–9.6%) n=1,755 |
| Households without a vehicle | 6.5% | 3.9% (0.0–12.5%) n=32,322 | 4.8% (0.0–15.6%) n=1,758 |
| Broadband subscription | 84.2% | 89.3% (75.1–97.1%) n=32,322 | 88.2% (75.7–97.3%) n=1,758 |
| Housing cost burden (≥30% income) | 23.3% | 23.7% (10.6–40.0%) n=32,322 | 21.9% (9.9–35.3%) n=1,758 |
| Homeownership rate | 81.4% | 78.7% (51.7–94.0%) n=32,322 | 80.1% (57.1–94.5%) n=1,758 |
| Crowded housing (>1 per room) | 0.6% | 1.3% (0.0–6.3%) n=32,322 | 0.6% (0.0–3.3%) n=1,758 |
| Foreign-born population | 1.4% | 2.6% (0.0–18.6%) n=32,553 | 1.4% (0.0–10.2%) n=1,763 |
| Single-parent households | 49.1% | 53.6% (37.3–74.1%) n=32,087 | 56.3% (38.5–72.8%) n=1,744 |
| Population 65+ | 16.2% | 19.4% (10.8–33.6%) n=32,553 | 21.1% (12.3–31.4%) n=1,763 |
| Median age | 38.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (33.9–55.5) n=1,752 |
| Median household income | $63,750 | $72,070 ($46,039–$118,707) n=30,318 | $71,250 ($50,880–$112,747) n=1,642 |
| Median home value | $140,900 | $222,200 ($100,300–$579,820) n=30,049 | $197,200 ($99,000–$382,120) n=1,649 |
| Median gross rent | $950 | $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 | 75.9 yr ± 1.15 | 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 1.15 years of 75.9, 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