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ZipVitals

ZIP code

15857

in St. Marys, PennsylvaniaPopulation 12,736

51.48/ 100

Ranked #14,156 of 32,066 US ZIPs (top 44%)

Ranked #721 of 1,748 Pennsylvania ZIPs (top 41%)

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

79.8%

in the top 5.0% nationally

Higher is healthier

ST91st
US95th
Definition & source ›

The share of this ZIP’s land area covered by forest.

Full methodology ›

Grocery access

0.23 per 1,000 residents

in the top 5.6% nationally

Higher is healthier

ST93rd
US94th
Definition & source ›

The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”

Full methodology ›

Fiber broadband

97.5%

in the top 7.5% nationally

Higher is healthier

ST96th
US93rd
Definition & source ›

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

Full methodology ›

Humid extreme heat

17.8 days/year

in the bottom 14.4% nationally

Lower is healthier

ST3rd
US14th
Definition & source ›

The average number of days per year when modeled heat stress — temperature, humidity, sun, and wind combined — reaches levels hard on the body outdoors.

Full methodology ›

Natural-disaster risk

in the top 22% nationally

Lower is healthier

ST95th
US78th
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

20 per million

in the bottom 25% nationally

Lower is healthier

ST1st
US25th
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 ›

The read

From what the available data documents, St. Marys, Pennsylvania (ZIP 15857) lands in the top 44% healthiest ZIPs nationally (14,156th) and the top 41% of Pennsylvania (721st), based on limited data; treat as directional.

continue reading

The profile opens on partial but real readings: modeled tree cover resides in the top 5.0% nationally. Distance to an emergency room rests at the national minimum, shared with about 11% of ZIPs. Grocery lies in the top 5.6% nationally, and fiber broadband sits in the top 7.5% nationally. Modeled extreme heat settles at the national minimum, shared with about 19% of ZIPs. Outpatient registers in the top 12.3% nationally. Distance to a nursing home stands at the national minimum, shared with about 27% of ZIPs. Mental-health providers lands in the top 13.7% nationally, and modeled humid heat is in the bottom 14.4% nationally. Against that, distance to a hazardous-chemical facility resides at the national minimum, shared with about 31% of ZIPs.

Relative to the ZIPs around it, park land runs far lower than the surrounding ZIPs on this measure. In plain terms, 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. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. The nearest healthier ZIP overall is ZIP 15846, 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 94%

6%

Healthcare Access

healthier than 66%

6%

About typical

Social Need / SDOH

healthier than 56%

19%

Preventive CarePartial

healthier than 60%

15%

Holding it back

Environmental Hazard

healthier than 6%

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.

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 years12.8%10.3–15.6
PreventionCDC PLACES 2022 · BRFSS
MeasureCrude prevalence95% CI
Colorectal cancer screening among adults aged 45–75 years68.3%63.3–73.4
Visited dentist or dental clinic in the past year among adults62.8%59.0–66.5
Mammography use among women aged 50-74 years75.1%67.2–82.3
Health Risk BehaviorsCDC PLACES 2022 · BRFSS
MeasureCrude prevalence95% CI
Short sleep duration among adults37.3%30.5–44.6
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)PA median (p10–p90)
Poverty rate7.7%10.6% (3.1–25.8%) n=32,3649.3% (2.1–21.6%) n=1,759
Uninsured 18–641.8%9.0% (1.5–24.3%) n=32,2866.3% (0.0–16.6%) n=1,753
No HS diploma (25+)4.7%7.9% (1.8–20.7%) n=32,5057.0% (1.5–16.1%) n=1,762
Bachelor's or higher (25+)21.5%23.3% (9.2–53.6%) n=32,50521.9% (8.9–50.4%) n=1,762
Unemployment rate (16+)7.5%3.9% (0.0–9.8%) n=32,2743.9% (0.0–9.6%) n=1,755
Households without a vehicle8.6%3.9% (0.0–12.5%) n=32,3224.8% (0.0–15.6%) n=1,758
Broadband subscription86.3%89.3% (75.1–97.1%) n=32,32288.2% (75.7–97.3%) n=1,758
Housing cost burden (≥30% income)15.6%23.7% (10.6–40.0%) n=32,32221.9% (9.9–35.3%) n=1,758
Homeownership rate77.9%78.7% (51.7–94.0%) n=32,32280.1% (57.1–94.5%) n=1,758
Crowded housing (>1 per room)0.9%1.3% (0.0–6.3%) n=32,3220.6% (0.0–3.3%) n=1,758
Foreign-born population1.4%2.6% (0.0–18.6%) n=32,5531.4% (0.0–10.2%) n=1,763
Single-parent households66.5%53.6% (37.3–74.1%) n=32,08756.3% (38.5–72.8%) n=1,744
Population 65+26.4%19.4% (10.8–33.6%) n=32,55321.1% (12.3–31.4%) n=1,763
Median age50.9 yr42.2 yr (33.0–56.3) n=32,29244.2 yr (33.9–55.5) n=1,752
Median household income$67,662$72,070 ($46,039–$118,707) n=30,318$71,250 ($50,880–$112,747) n=1,642
Median home value$150,100$222,200 ($100,300–$579,820) n=30,049$197,200 ($99,000–$382,120) n=1,649
Median gross rent$762$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 birth78.5 yr ± 0.8178.9 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 0.81 years of 78.5, 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