ZIP code
15044
in Gibsonia, PennsylvaniaPopulation 27,370
65.00/ 100
Ranked #2,001 of 32,066 US ZIPs (top 6.3%)
Ranked #90 of 1,748 Pennsylvania ZIPs (top 5.2%)
Ranked #21 of 376 Pittsburgh, PA ZIPs (top 5.6%)
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.
PFAS in drinking water
75%
in the top 3.1% nationally
Lower is healthier
ST97thUS97thDefinition & 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 ›Median household income
$136,723
in the top 5.7% nationally
Higher is healthier
ST95thUS94thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Lithium in drinking water
9.7 µg/L
in the bottom 5.2% nationally
Lower is healthier
ST6thUS5thDefinition & source ›
The average detected level of lithium — a natural trace metal with no federal drinking-water limit yet — across the public water systems serving this ZIP, in micrograms per liter.
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 ›Energy-cost burden
1.8%
in the bottom 9.0% nationally
Lower is healthier
ST3rdUS9thDefinition & 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 ›Mammography
80.4%
in the top 9.1% nationally
Higher is healthier
ST90thUS91stDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Short sleep
31.7%
in the bottom 19% nationally
Lower is healthier
ST3rdUS19thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Fine-particle (PM2.5) exceedance
0.32%
in the top 22% nationally
Lower is healthier
ST91stUS78thDefinition & source ›
The share of days in the year when modeled fine-particle (PM2.5) pollution was above the EPA’s daily limit of 35 micrograms per cubic meter.
Full methodology ›Expected annual disaster loss
$0
in the top 25% nationally
Lower is healthier
ST92ndUS75thDefinition & 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
On the limited readings gathered so far, Gibsonia, Pennsylvania (ZIP 15044) lands in the top 6.3% healthiest ZIPs nationally (2,001st) and the top 5.2% of Pennsylvania (90th), based on limited data; treat as directional.
A few available readings carry what can be said: household income lies in the top 5.7% nationally, lithium in drinking water registers in the bottom 5.2% nationally, and homeownership is in the top 10.2% nationally. Modeled energy burden lies in the bottom 9.0% nationally, modeled mammography registers in the top 9.1% nationally, and dental providers is in the top 13.3% nationally. Distance to a nursing home lies at the national minimum, shared with about 27% of ZIPs. Crowded housing registers at the national minimum, shared with about 29% of ZIPs. Working the other way, modeled pfas is in the top 3.1% nationally. Distance to a hazardous-chemical facility lies 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, pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. Lithium in drinking water is a natural metal that dissolves into some groundwater and has no federal drinking-water limit yet. 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. A healthier nearby ZIP overall is ZIP 15007, 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
Social Need / SDOH
healthier than 91%
19%
Preventive CarePartial
healthier than 96%
15%
Climate / Disaster Risk
healthier than 80%
6%
About typical
Healthcare Access
healthier than 44%
6%
Holding it back
Environmental Hazard
healthier than 17%
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 ›
Findings that name this ZIP
One of our published findings lists this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.
Above its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 80.5 ± 1.0 years. The 50 nearest ZIP codes with estimates average 78.5 years — 2.0 years above them.
Ranked #1,405 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
15006
Pennsylvaniashares a border
Score 63.33
Closest healthier
15007
Pennsylvaniashares a border
Score 65.48
Similar health profile
48167
Michigan100% similar profile
Score 68.21
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 | 8.7% | 7.0–10.5 |
PreventionCDC PLACES 2022 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Colorectal cancer screening among adults aged 45–75 years | 69.6% | 65.7–73.2 |
| Visited dentist or dental clinic in the past year among adults | 74.1% | 71.5–76.6 |
| Mammography use among women aged 50-74 years | 80.4% | 74.9–85.1 |
Health Risk BehaviorsCDC PLACES 2022 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Short sleep duration among adults | 31.7% | 28.2–35.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | PA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 4.7% | 10.6% (3.1–25.8%) n=32,364 | 9.3% (2.1–21.6%) n=1,759 |
| Uninsured 18–64 | 2.6% | 9.0% (1.5–24.3%) n=32,286 | 6.3% (0.0–16.6%) n=1,753 |
| No HS diploma (25+) | 1.2% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.1%) n=1,762 |
| Bachelor's or higher (25+) | 58.7% | 23.3% (9.2–53.6%) n=32,505 | 21.9% (8.9–50.4%) n=1,762 |
| Unemployment rate (16+) | 2.9% | 3.9% (0.0–9.8%) n=32,274 | 3.9% (0.0–9.6%) n=1,755 |
| Households without a vehicle | 2.6% | 3.9% (0.0–12.5%) n=32,322 | 4.8% (0.0–15.6%) n=1,758 |
| Broadband subscription | 95.6% | 89.3% (75.1–97.1%) n=32,322 | 88.2% (75.7–97.3%) n=1,758 |
| Housing cost burden (≥30% income) | 19.6% | 23.7% (10.6–40.0%) n=32,322 | 21.9% (9.9–35.3%) n=1,758 |
| Homeownership rate | 93.9% | 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 | 5.3% | 2.6% (0.0–18.6%) n=32,553 | 1.4% (0.0–10.2%) n=1,763 |
| Single-parent households | 56.9% | 53.6% (37.3–74.1%) n=32,087 | 56.3% (38.5–72.8%) n=1,744 |
| Population 65+ | 24.4% | 19.4% (10.8–33.6%) n=32,553 | 21.1% (12.3–31.4%) n=1,763 |
| Median age | 48.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (33.9–55.5) n=1,752 |
| Median household income | $136,723 | $72,070 ($46,039–$118,707) n=30,318 | $71,250 ($50,880–$112,747) n=1,642 |
| Median home value | $385,200 | $222,200 ($100,300–$579,820) n=30,049 | $197,200 ($99,000–$382,120) n=1,649 |
| Median gross rent | $1,573 | $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 | 80.5 yr ± 0.50 | 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 0.50 years of 80.5, 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