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ZipVitals

ZIP code

18629

in Mehoopany, PennsylvaniaPopulation 1,760

49.10/ 100

Ranked #17,520 of 32,066 US ZIPs (bottom 45%)

Ranked #992 of 1,748 Pennsylvania ZIPs (bottom 43%)

Ranked #44 of 73 Scranton--Wilkes-Barre, PA ZIPs (bottom 40%)

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

80.3%

in the top 4.8% nationally

Higher is healthier

ST92nd
US95th
Definition & source ›

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

Full methodology ›

Child-care access

0.6 per 1,000 residents

in the top 7.2% nationally

Higher is healthier

ST93rd
US93rd
Definition & source ›

The number of child day-care services 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 ›

Distance to an emergency room

17.4 mi

in the top 7.8% nationally

Lower is healthier

ST95th
US92nd
Definition & source ›

The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.

Full methodology ›

PFAS in drinking water

9.6%

in the bottom 8.0% nationally

Lower is healthier

ST2nd
US8th
Definition & 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 ›

Arsenic in groundwater

8.4%

in the top 21% nationally

Lower is healthier

ST90th
US79th
Definition & source ›

The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms per liter.

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 ›

The read

Working only from the data in hand, Mehoopany, Pennsylvania (ZIP 18629) lands in the bottom 45% nationally (17,520th) and the bottom 43% of Pennsylvania (992nd), based on limited data; treat as directional.

continue reading

On the limited coverage here, the data still marks out some readings: modeled tree cover sits in the top 4.8% nationally, and childcare rests in the top 7.2% nationally. Modeled pfas is in the bottom 8.0% nationally. Modeled extreme heat stands at the national minimum, shared with about 19% of ZIPs. Modeled loud transportation noise settles at the national minimum, shared with about 22% of ZIPs. Modeled transportation noise lies in the bottom 21% nationally. On the other side, distance to an emergency room resides in the top 7.8% nationally. Recreation lands at the national minimum, shared with about 35% of ZIPs. Physicians registers at the national minimum, shared with about 38% of ZIPs. Modeled arsenic sits in the top 21% nationally.

To translate a couple of terms, 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. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. Overall, the nearest healthier neighbor is ZIP 18614, 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 69%

15%

Climate / Disaster Risk

healthier than 83%

6%

About typical

Environmental Hazard

healthier than 45%

16%

Holding it back

Social Need / SDOH

healthier than 32%

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 years15.7%12.7–19.0
PreventionCDC PLACES 2022 · BRFSS
MeasureCrude prevalence95% CI
Colorectal cancer screening among adults aged 45–75 years68.0%62.8–72.9
Visited dentist or dental clinic in the past year among adults63.1%59.2–66.7
Mammography use among women aged 50-74 years76.9%69.5–83.2
Health Risk BehaviorsCDC PLACES 2022 · BRFSS
MeasureCrude prevalence95% CI
Short sleep duration among adults38.1%31.2–45.1
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)PA median (p10–p90)
Poverty rate9.6%10.6% (3.1–25.8%) n=32,3649.3% (2.1–21.6%) n=1,759
Uninsured 18–644.0%9.0% (1.5–24.3%) n=32,2866.3% (0.0–16.6%) n=1,753
No HS diploma (25+)9.3%7.9% (1.8–20.7%) n=32,5057.0% (1.5–16.1%) n=1,762
Bachelor's or higher (25+)9.6%23.3% (9.2–53.6%) n=32,50521.9% (8.9–50.4%) n=1,762
Unemployment rate (16+)4.0%3.9% (0.0–9.8%) n=32,2743.9% (0.0–9.6%) n=1,755
Households without a vehicle3.8%3.9% (0.0–12.5%) n=32,3224.8% (0.0–15.6%) n=1,758
Broadband subscription85.2%89.3% (75.1–97.1%) n=32,32288.2% (75.7–97.3%) n=1,758
Housing cost burden (≥30% income)17.4%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)3.2%1.3% (0.0–6.3%) n=32,3220.6% (0.0–3.3%) n=1,758
Foreign-born population1.0%2.6% (0.0–18.6%) n=32,5531.4% (0.0–10.2%) n=1,763
Single-parent households67.9%53.6% (37.3–74.1%) n=32,08756.3% (38.5–72.8%) n=1,744
Population 65+32.5%19.4% (10.8–33.6%) n=32,55321.1% (12.3–31.4%) n=1,763
Median age54.2 yr42.2 yr (33.0–56.3) n=32,29244.2 yr (33.9–55.5) n=1,752
Median household income$59,464$72,070 ($46,039–$118,707) n=30,318$71,250 ($50,880–$112,747) n=1,642
Median home value$222,500$222,200 ($100,300–$579,820) n=30,049$197,200 ($99,000–$382,120) n=1,649
Median gross rent$1,109$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 birth80.2 yr ± 1.1578.9 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 1.15 years of 80.2, 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