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ZipVitals

ZIP code

15870

in Wilcox, PennsylvaniaPopulation 1,109

47.37/ 100

Ranked #19,702 of 32,066 US ZIPs (bottom 39%)

Ranked #1,151 of 1,748 Pennsylvania ZIPs (bottom 34%)

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

87%

in the top 2.3% nationally

Higher is healthier

ST97th
US98th
Definition & source ›

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

Full methodology ›

Slow internet speeds

1.6%

in the top 7.2% nationally

Lower is healthier

ST97th
US93rd
Definition & source ›

The share of homes whose fastest available download speed is under 10 Mbps.

Full methodology ›

Fatal road crashes

36.1 per 100,000 residents per year

in the top 8.9% nationally

Lower is healthier

ST96th
US91st
Definition & 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 ›

Loud transportation noise

1.7%

in the top 9.6% nationally

Lower is healthier

ST90th
US90th
Definition & source ›

The modeled share of residents exposed to average road, rail, and aviation noise at or above 65 decibels — around the volume of normal conversation.

Full methodology ›

Walkability

2.6 intersections/sq mi

in the bottom 11.7% nationally

Higher is healthier

ST1st
US12th
Definition & source ›

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

Full methodology ›

Humid extreme heat

15.8 days/year

in the bottom 12.5% nationally

Lower is healthier

ST1st
US12th
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 ›

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

On the data available so far, Wilcox, Pennsylvania (ZIP 15870) lands in the bottom 39% nationally (19,702nd) and the bottom 34% of Pennsylvania (1,151st), based on limited data; treat as directional.

continue reading

The readings that are available are worth naming, coverage aside: modeled tree cover registers in the top 2.3% nationally. Modeled extreme heat lies at the national minimum, shared with about 19% of ZIPs. Homeownership is in the top 12.1% nationally, modeled humid heat registers in the bottom 12.5% nationally, and recreation lies in the top 14.1% nationally. Park land is in the top 16% nationally. On the other hand, slow internet speeds registers in the top 7.2% nationally, fatal road crashes lies in the top 8.9% nationally, and modeled loud transportation noise is in the top 9.6% nationally. Walkability registers in the bottom 11.7% nationally.

Against its neighbors, park land runs far higher than the surrounding ZIPs on this measure. For context, loud transportation noise is the modeled share of an area exposed to road, rail, and air noise at or above 65 decibels, near conversation volume. 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 closest ZIP that ranks healthier overall is ZIP 15845, 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 73%

15%

Climate / Disaster Risk

healthier than 90%

6%

About typical

Environmental Hazard

healthier than 58%

16%

Healthcare Access

healthier than 52%

6%

Holding it back

Social Need / SDOH

healthier than 30%

19%

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 years18.3%14.9–22.3
PreventionCDC PLACES 2022 · BRFSS
MeasureCrude prevalence95% CI
Colorectal cancer screening among adults aged 45–75 years70.0%65.1–74.7
Visited dentist or dental clinic in the past year among adults61.8%58.0–65.6
Mammography use among women aged 50-74 years76.9%69.1–83.7
Health Risk BehaviorsCDC PLACES 2022 · BRFSS
MeasureCrude prevalence95% CI
Short sleep duration among adults38.1%31.2–45.4
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)PA median (p10–p90)
Poverty rate11.9%10.6% (3.1–25.8%) n=32,3649.3% (2.1–21.6%) n=1,759
Uninsured 18–643.9%9.0% (1.5–24.3%) n=32,2866.3% (0.0–16.6%) n=1,753
No HS diploma (25+)4.3%7.9% (1.8–20.7%) n=32,5057.0% (1.5–16.1%) n=1,762
Bachelor's or higher (25+)21.4%23.3% (9.2–53.6%) n=32,50521.9% (8.9–50.4%) n=1,762
Unemployment rate (16+)3.3%3.9% (0.0–9.8%) n=32,2743.9% (0.0–9.6%) n=1,755
Households without a vehicle5.0%3.9% (0.0–12.5%) n=32,3224.8% (0.0–15.6%) n=1,758
Broadband subscription87.0%89.3% (75.1–97.1%) n=32,32288.2% (75.7–97.3%) n=1,758
Housing cost burden (≥30% income)14.2%23.7% (10.6–40.0%) n=32,32221.9% (9.9–35.3%) n=1,758
Homeownership rate92.8%78.7% (51.7–94.0%) n=32,32280.1% (57.1–94.5%) n=1,758
Crowded housing (>1 per room)1.0%1.3% (0.0–6.3%) n=32,3220.6% (0.0–3.3%) n=1,758
Foreign-born population0.5%2.6% (0.0–18.6%) n=32,5531.4% (0.0–10.2%) n=1,763
Single-parent households69.2%53.6% (37.3–74.1%) n=32,08756.3% (38.5–72.8%) n=1,744
Population 65+26.3%19.4% (10.8–33.6%) n=32,55321.1% (12.3–31.4%) n=1,763
Median age53.4 yr42.2 yr (33.0–56.3) n=32,29244.2 yr (33.9–55.5) n=1,752
Median household income$63,750$72,070 ($46,039–$118,707) n=30,318$71,250 ($50,880–$112,747) n=1,642
Median home value$126,800$222,200 ($100,300–$579,820) n=30,049$197,200 ($99,000–$382,120) n=1,649
Median gross rent$767$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 birth78.4 yr ± 1.8478.9 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 1.84 years of 78.4, 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