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ZipVitals

ZIP code

15678

in Rillton, PennsylvaniaPopulation 472

47.90/ 100

Ranked #19,058 of 32,066 US ZIPs (bottom 41%)

Ranked #1,092 of 1,748 Pennsylvania ZIPs (bottom 38%)

Ranked #261 of 376 Pittsburgh, PA ZIPs (bottom 31%)

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.

Natural-disaster risk

in the bottom 4.0% nationally

Lower is healthier

ST14th
US4th
Definition & source ›

This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.

Full methodology ›

Air-toxics cancer risk

40 per million

in the top 4.5% nationally

Lower is healthier

ST95th
US96th
Definition & 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 ›

Lead in tap water

0 ppb

at the national minimum

Lower is healthier

US1st
Definition & source ›

The lead level at the 90th percentile of tap-water samples reported by the public water systems serving this ZIP, in parts per billion — the EPA requires action above 15 ppb.

Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.

Full methodology ›

PFAS in drinking water

64.4%

in the top 6.2% nationally

Lower is healthier

ST91st
US94th
Definition & 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 ›

Expected annual disaster loss

$0

in the bottom 6.8% nationally

Lower is healthier

ST18th
US7th
Definition & source ›

FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.

Full methodology ›

The read

Given the gaps in coverage here, Rillton, Pennsylvania (ZIP 15678) lands in the bottom 41% nationally (19,058th) and the bottom 38% of Pennsylvania (1,092nd), based on limited data; treat as directional.

continue reading

The profile opens on partial but real readings: modeled disaster risk lies in the bottom 4.0% nationally, lead in tap water sits at the national minimum, and modeled expected annual loss settles in the bottom 6.8% nationally. Unemployment registers at the national minimum, shared with about 15% of ZIPs. Households without a vehicle stands at the national minimum, shared with about 16% of ZIPs. Modeled loud transportation noise lands at the national minimum, shared with about 22% of ZIPs. Crowded housing is at the national minimum, shared with about 29% of ZIPs. Against that, modeled air-toxics cancer risk resides in the top 4.5% nationally, and pfas rests in the top 6.2% nationally. Fiber broadband lies at the national minimum, shared with about 19% of ZIPs.

Held up against its neighbors, park land runs far lower than the surrounding ZIPs on this measure. Defined in plain terms, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. The nearest ZIP ranking healthier overall is ZIP 15642, 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 78%

6%

About typical

Preventive CarePartial

healthier than 59%

15%

Holding it back

Social Need / SDOH

healthier than 23%

19%

Environmental Hazard

healthier than 14%

16%

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.

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
MeasureCrude prevalence95% CI
All teeth lost among adults aged >=65 years12.9%10.4–15.8
PreventionCDC PLACES 2022 · BRFSS
MeasureCrude prevalence95% CI
Colorectal cancer screening among adults aged 45–75 years69.3%64.8–73.7
Visited dentist or dental clinic in the past year among adults60.9%57.4–64.6
Mammography use among women aged 50-74 years75.1%68.3–81.7
Health Risk BehaviorsCDC PLACES 2022 · BRFSS
MeasureCrude prevalence95% CI
Short sleep duration among adults40.5%35.1–46.4
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)PA median (p10–p90)
Poverty rate14.8%10.6% (3.1–25.8%) n=32,3649.3% (2.1–21.6%) n=1,759
Uninsured 18–6411.7%9.0% (1.5–24.3%) n=32,2866.3% (0.0–16.6%) n=1,753
No HS diploma (25+)5.3%7.9% (1.8–20.7%) n=32,5057.0% (1.5–16.1%) n=1,762
Bachelor's or higher (25+)21.7%23.3% (9.2–53.6%) n=32,50521.9% (8.9–50.4%) n=1,762
Unemployment rate (16+)0.0%3.9% (0.0–9.8%) n=32,2743.9% (0.0–9.6%) n=1,755
Households without a vehicle0.0%3.9% (0.0–12.5%) n=32,3224.8% (0.0–15.6%) n=1,758
Broadband subscription85.0%89.3% (75.1–97.1%) n=32,32288.2% (75.7–97.3%) n=1,758
Housing cost burden (≥30% income)27.8%23.7% (10.6–40.0%) n=32,32221.9% (9.9–35.3%) n=1,758
Homeownership rate82.1%78.7% (51.7–94.0%) n=32,32280.1% (57.1–94.5%) n=1,758
Crowded housing (>1 per room)0.0%1.3% (0.0–6.3%) n=32,3220.6% (0.0–3.3%) n=1,758
Foreign-born population0.0%2.6% (0.0–18.6%) n=32,5531.4% (0.0–10.2%) n=1,763
Single-parent households72.3%53.6% (37.3–74.1%) n=32,08756.3% (38.5–72.8%) n=1,744
Population 65+20.8%19.4% (10.8–33.6%) n=32,55321.1% (12.3–31.4%) n=1,763
Median age40.9 yr42.2 yr (33.0–56.3) n=32,29244.2 yr (33.9–55.5) n=1,752
Median household income$66,389$72,070 ($46,039–$118,707) n=30,318$71,250 ($50,880–$112,747) n=1,642
Median home value$160,300$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
MeasureValueUS median (p10–p90)PA median (p10–p90)
Life expectancy at birth77.0 yr ± 0.9678.9 yr (74.7–82.8) n=31,30879.2 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 0.96 years of 77.0, and it’s very unlikely to be off by more than twice that.

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