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ZipVitals

ZIP code

18405

in Beach Lake, PennsylvaniaPopulation 2,412

53.14/ 100

Ranked #11,869 of 32,066 US ZIPs (top 37%)

Ranked #579 of 1,748 Pennsylvania ZIPs (top 33%)

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.

Distance to a Superfund site

0.2 mi

in the bottom 4.3% nationally

Higher is healthier

ST5th
US4th
Definition & source ›

The distance in miles from this ZIP’s edge to the nearest Superfund site — an abandoned or uncontrolled hazardous-waste site the EPA has listed for cleanup.

Full methodology ›

Distance to a hazardous-chemical facility

15.5 mi

in the top 7.7% nationally

Higher is healthier

ST98th
US92nd
Definition & source ›

The distance in miles from this ZIP’s edge to the nearest facility that handles enough hazardous chemicals to require an EPA risk-management plan for accidental releases.

Full methodology ›

Tree cover

72.5%

in the top 8.0% nationally

Higher is healthier

ST84th
US92nd
Definition & source ›

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

Full methodology ›

Fatal road crashes

29 per 100,000 residents per year

in the top 14.3% nationally

Lower is healthier

ST93rd
US86th
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 ›

Humid extreme heat

21.1 days/year

in the bottom 18% nationally

Lower is healthier

ST8th
US18th
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 ›

Industrial-pollution burden

in the bottom 26% nationally

Lower is healthier

ST5th
US26th
Definition & source ›

The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.

Full methodology ›

The read

On the measures available for this ZIP, Beach Lake, Pennsylvania (ZIP 18405) lands in the top 37% healthiest ZIPs nationally (11,869th) and the top 33% of Pennsylvania (579th), based on limited data; treat as directional.

continue reading

The data opens carefully, on limited coverage: distance to a hazardous-chemical facility stands in the top 7.7% nationally, and modeled tree cover registers in the top 8.0% nationally. Modeled extreme heat settles at the national minimum, shared with about 19% of ZIPs. Crowded housing sits at the national minimum, shared with about 29% of ZIPs. Modeled humid heat lies in the bottom 18% nationally. On the other hand, distance to a Superfund site rests in the bottom 4.3% nationally. Fiber broadband resides at the national minimum, shared with about 19% of ZIPs. Modeled energy burden is in the top 10.7% nationally, and fatal road crashes lands in the top 14.3% nationally. Recreation stands at the national minimum, shared with about 35% of ZIPs.

For anyone unfamiliar, distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. 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. For a healthier comparison close by, see ZIP 12764, 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

Environmental Hazard

healthier than 79%

16%

Preventive CarePartial

healthier than 82%

15%

Climate / Disaster Risk

healthier than 84%

6%

Holding it back

Social Need / SDOH

healthier than 11%

19%

Healthcare Access

healthier than 36%

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 years12.3%9.9–15.0
PreventionCDC PLACES 2022 · BRFSS
MeasureCrude prevalence95% CI
Colorectal cancer screening among adults aged 45–75 years69.3%64.3–73.9
Visited dentist or dental clinic in the past year among adults65.9%62.3–69.3
Mammography use among women aged 50-74 years77.5%70.0–83.9
Health Risk BehaviorsCDC PLACES 2022 · BRFSS
MeasureCrude prevalence95% CI
Short sleep duration among adults37.5%30.9–44.6
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)PA median (p10–p90)
Poverty rate12.2%10.6% (3.1–25.8%) n=32,3649.3% (2.1–21.6%) n=1,759
Uninsured 18–6411.0%9.0% (1.5–24.3%) n=32,2866.3% (0.0–16.6%) n=1,753
No HS diploma (25+)8.5%7.9% (1.8–20.7%) n=32,5057.0% (1.5–16.1%) n=1,762
Bachelor's or higher (25+)25.8%23.3% (9.2–53.6%) n=32,50521.9% (8.9–50.4%) n=1,762
Unemployment rate (16+)6.7%3.9% (0.0–9.8%) n=32,2743.9% (0.0–9.6%) n=1,755
Households without a vehicle7.3%3.9% (0.0–12.5%) n=32,3224.8% (0.0–15.6%) n=1,758
Broadband subscription88.7%89.3% (75.1–97.1%) n=32,32288.2% (75.7–97.3%) n=1,758
Housing cost burden (≥30% income)22.5%23.7% (10.6–40.0%) n=32,32221.9% (9.9–35.3%) n=1,758
Homeownership rate84.9%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 population4.2%2.6% (0.0–18.6%) n=32,5531.4% (0.0–10.2%) n=1,763
Single-parent households65.6%53.6% (37.3–74.1%) n=32,08756.3% (38.5–72.8%) n=1,744
Population 65+26.8%19.4% (10.8–33.6%) n=32,55321.1% (12.3–31.4%) n=1,763
Median age51.1 yr42.2 yr (33.0–56.3) n=32,29244.2 yr (33.9–55.5) n=1,752
Median household income$72,472$72,070 ($46,039–$118,707) n=30,318$71,250 ($50,880–$112,747) n=1,642
Median home value$253,700$222,200 ($100,300–$579,820) n=30,049$197,200 ($99,000–$382,120) n=1,649
Median gross rent$937$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 unavailable for this ZIP — fewer than 80% of the census tracts that make it up could be matched across the 2010→2020 tract-boundary revision, so no value is published rather than an unreliable one. See how coverage gaps are handled.
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