ZIP code
15480
in Smock, PennsylvaniaPopulation 1,766
48.60/ 100
Ranked #18,195 of 32,066 US ZIPs (bottom 43%)
Ranked #1,034 of 1,748 Pennsylvania ZIPs (bottom 41%)
Ranked #251 of 376 Pittsburgh, PA ZIPs (bottom 33%)
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.
Home broadband subscription
67.4%
in the bottom 4.9% nationally
Higher is healthier
ST4thUS5thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Fatal road crashes
39.6 per 100,000 residents per year
in the top 7.0% nationally
Lower is healthier
ST97thUS93rdDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
Full methodology ›Energy-cost burden
5.1%
in the top 7.9% nationally
Lower is healthier
ST87thUS92ndDefinition & 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 ›Median household income
$47,375
in the bottom 11.4% nationally
Higher is healthier
ST7thUS11thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Distance to a Superfund site
35.5 mi
in the top 22% nationally
Higher is healthier
ST98thUS78thDefinition & 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 ›The read
With coverage still partial across the sources, Smock, Pennsylvania (ZIP 15480) lands in the bottom 43% nationally (18,195th) and the bottom 41% of Pennsylvania (1,034th), based on limited data; treat as directional.
Reading what data there is, a few things can be said: modeled disaster risk is in the bottom 14.0% nationally. Crowded housing sits at the national minimum, shared with about 29% of ZIPs. Households without a vehicle lands in the bottom 17% nationally, and modeled expected annual loss lies in the bottom 17% nationally. Outer-floodplain exposure stands at the national minimum, shared with about 36% of ZIPs. Working the other way, home broadband subscription rests in the bottom 4.9% nationally, and fatal road crashes registers in the top 7.0% nationally. Modeled energy burden resides in the top 7.9% nationally, and unemployment settles in the top 12.9% nationally. Household income is in the bottom 11.4% nationally.
Defined simply, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Energy burden is the share of household income that goes to home energy bills. ZIP 15473, just across the boundary, comes out healthier 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
Preventive CarePartial
healthier than 53%
15%
Healthcare Access
healthier than 53%
6%
Holding it back
Social Need / SDOH
healthier than 8%
19%
Environmental Hazard
healthier than 29%
16%
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
15401
Pennsylvaniashares a border
Score 46.70
Closest healthier
15473
Pennsylvaniashares a border
Score 49.34
Similar health profile
01119
Massachusetts98% similar profile
Score 44.87
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 | 13.8% | 11.2–16.9 |
PreventionCDC PLACES 2022 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Colorectal cancer screening among adults aged 45–75 years | 66.8% | 61.6–71.5 |
| Visited dentist or dental clinic in the past year among adults | 59.7% | 55.7–63.6 |
| Mammography use among women aged 50-74 years | 76.4% | 68.5–82.8 |
Health Risk BehaviorsCDC PLACES 2022 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Short sleep duration among adults | 37.3% | 30.7–43.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | PA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 13.1% | 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+) | 3.2% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.1%) n=1,762 |
| Bachelor's or higher (25+) | 38.4% | 23.3% (9.2–53.6%) n=32,505 | 21.9% (8.9–50.4%) n=1,762 |
| Unemployment rate (16+) | 8.7% | 3.9% (0.0–9.8%) n=32,274 | 3.9% (0.0–9.6%) n=1,755 |
| Households without a vehicle | 0.4% | 3.9% (0.0–12.5%) n=32,322 | 4.8% (0.0–15.6%) n=1,758 |
| Broadband subscription | 67.4% | 89.3% (75.1–97.1%) n=32,322 | 88.2% (75.7–97.3%) n=1,758 |
| Housing cost burden (≥30% income) | 15.4% | 23.7% (10.6–40.0%) n=32,322 | 21.9% (9.9–35.3%) n=1,758 |
| Homeownership rate | 82.9% | 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 | 55.5% | 53.6% (37.3–74.1%) n=32,087 | 56.3% (38.5–72.8%) n=1,744 |
| Population 65+ | 27.3% | 19.4% (10.8–33.6%) n=32,553 | 21.1% (12.3–31.4%) n=1,763 |
| Median age | 49.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (33.9–55.5) n=1,752 |
| Median household income | $47,375 | $72,070 ($46,039–$118,707) n=30,318 | $71,250 ($50,880–$112,747) n=1,642 |
| Median home value | $121,400 | $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 | 77.0 yr ± 0.92 | 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 0.92 years of 77.0, 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