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ZipVitals

ZIP code

15226

in Pittsburgh, PennsylvaniaPopulation 13,999

58.95/ 100

Ranked #5,633 of 32,066 US ZIPs (top 18%)

Ranked #250 of 1,748 Pennsylvania ZIPs (top 14.4%)

Ranked #64 of 376 Pittsburgh, PA ZIPs (top 17%)

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.

Walkability

180 intersections/sq mi

in the top 3.2% nationally

Higher is healthier

ST94th
US97th
Definition & source ›

The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.

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 ›

Transit access

5.2 per 1,000 residents

in the top 4.6% nationally

Higher is healthier

ST91st
US95th
Definition & source ›

The number of public-transit stops inside this ZIP’s boundary, per 1,000 residents.

Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.

Full methodology ›

Fiber broadband

97.7%

in the top 7.2% nationally

Higher is healthier

ST96th
US93rd
Definition & source ›

The share of homes where fiber-optic internet service is available.

Full methodology ›

The read

From what the available data documents, ZIP 15226, one of several in Pittsburgh, Pennsylvania lands in the top 18% healthiest ZIPs nationally (5,633rd) and the top 14.4% of Pennsylvania (250th), based on limited data; treat as directional.

continue reading

On what has been documented so far, the readings are limited but real: walkability lands in the top 3.2% nationally, transit is in the top 4.6% nationally, and fiber broadband resides in the top 7.2% nationally. Park land rests in the top 11.3% nationally, fatal road crashes lies in the bottom 16% nationally, and outpatient sits in the top 19% nationally. Working the other way, modeled air-toxics cancer risk settles in the top 4.5% nationally, and unemployment registers in the top 11.7% nationally. Households without a vehicle stands in the top 14.0% nationally, and lead in tap water lands in the top 14.9% nationally.

Relative to the ZIPs around it, park land runs far higher than the surrounding ZIPs on this measure. In plain terms, 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 healthier ZIP overall is ZIP 15216, 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

Preventive CarePartial

healthier than 79%

15%

Climate / Disaster Risk

healthier than 86%

6%

Healthcare Access

healthier than 74%

6%

About typical

Social Need / SDOH

healthier than 54%

19%

Holding it back

Environmental Hazard

healthier than 20%

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

2 of our published findings list 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.

  • Below what income predicts

    The ZIP codes that outlive their incomes

    Estimated life expectancy is 76.2 ± 1.6 years. A median household income of $73,321 predicts 78.9 years — 2.7 years below.

    Ranked #3,707 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.

  • Highest-risk tenth

    Air toxics and the years between the two ends of the risk scale

    Modeled air-toxics cancer risk is 40.0 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 76.2 ± 1.6 years.

    Ranked #504 of the 4,173 ZIP codes this finding names, ordered by modeled air-toxics risk, highest first.

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 years9.5%7.7–11.5
PreventionCDC PLACES 2022 · BRFSS
MeasureCrude prevalence95% CI
Colorectal cancer screening among adults aged 45–75 years66.4%62.2–70.4
Visited dentist or dental clinic in the past year among adults67.0%63.9–70.0
Mammography use among women aged 50-74 years78.8%72.7–83.9
Health Risk BehaviorsCDC PLACES 2022 · BRFSS
MeasureCrude prevalence95% CI
Short sleep duration among adults34.3%30.4–38.4
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)PA median (p10–p90)
Poverty rate8.7%10.6% (3.1–25.8%) n=32,3649.3% (2.1–21.6%) n=1,759
Uninsured 18–6411.1%9.0% (1.5–24.3%) n=32,2866.3% (0.0–16.6%) n=1,753
No HS diploma (25+)6.7%7.9% (1.8–20.7%) n=32,5057.0% (1.5–16.1%) n=1,762
Bachelor's or higher (25+)37.2%23.3% (9.2–53.6%) n=32,50521.9% (8.9–50.4%) n=1,762
Unemployment rate (16+)9.1%3.9% (0.0–9.8%) n=32,2743.9% (0.0–9.6%) n=1,755
Households without a vehicle10.4%3.9% (0.0–12.5%) n=32,3224.8% (0.0–15.6%) n=1,758
Broadband subscription89.6%89.3% (75.1–97.1%) n=32,32288.2% (75.7–97.3%) n=1,758
Housing cost burden (≥30% income)22.4%23.7% (10.6–40.0%) n=32,32221.9% (9.9–35.3%) n=1,758
Homeownership rate66.8%78.7% (51.7–94.0%) n=32,32280.1% (57.1–94.5%) n=1,758
Crowded housing (>1 per room)2.0%1.3% (0.0–6.3%) n=32,3220.6% (0.0–3.3%) n=1,758
Foreign-born population7.9%2.6% (0.0–18.6%) n=32,5531.4% (0.0–10.2%) n=1,763
Single-parent households42.4%53.6% (37.3–74.1%) n=32,08756.3% (38.5–72.8%) n=1,744
Population 65+20.2%19.4% (10.8–33.6%) n=32,55321.1% (12.3–31.4%) n=1,763
Median age40.4 yr42.2 yr (33.0–56.3) n=32,29244.2 yr (33.9–55.5) n=1,752
Median household income$73,321$72,070 ($46,039–$118,707) n=30,318$71,250 ($50,880–$112,747) n=1,642
Median home value$182,900$222,200 ($100,300–$579,820) n=30,049$197,200 ($99,000–$382,120) n=1,649
Median gross rent$1,321$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 birth76.2 yr ± 0.8478.9 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 0.84 years of 76.2, 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