ZIP code
18444
in Moscow, PennsylvaniaPopulation 13,604
52.13/ 100
Ranked #13,281 of 32,066 US ZIPs (top 41%)
Ranked #664 of 1,748 Pennsylvania ZIPs (top 38%)
Ranked #35 of 73 Scranton--Wilkes-Barre, PA ZIPs (top 48%)
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
72.4%
in the top 8.0% nationally
Higher is healthier
ST84thUS92ndDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Recreation access
1 per 1,000 residents
in the top 8.3% nationally
Higher is healthier
ST91stUS92ndDefinition & source ›
The number of places for physical recreation — gyms, sports, and fitness venues — 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 ›Child-care access
0.52 per 1,000 residents
in the top 9.9% nationally
Higher is healthier
ST90thUS90thDefinition & 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 ›Humid extreme heat
18.7 days/year
in the bottom 15% nationally
Lower is healthier
ST4thUS15thDefinition & 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 ›The read
On the data available so far, Moscow, Pennsylvania (ZIP 18444) lands in the top 41% healthiest ZIPs nationally (13,281st) and the top 38% of Pennsylvania (664th), based on limited data; treat as directional.
Several of the measures in hand are worth setting out: modeled tree cover lands in the top 8.0% nationally, and recreation settles in the top 8.3% nationally. Modeled extreme heat rests at the national minimum, shared with about 19% of ZIPs. Childcare lands in the top 9.9% nationally. Distance to a community health center settles at the national minimum, shared with about 23% of ZIPs. Grocery rests in the top 12.0% nationally. Distance to a nursing home lands at the national minimum, shared with about 27% of ZIPs. Modeled humid heat settles in the bottom 15% nationally, and park land rests in the top 16% nationally. On the other side, distance to a hazardous-chemical facility lands at the national minimum, shared with about 31% of ZIPs.
Against its neighbors, park land runs far higher than the surrounding ZIPs on this measure. For context, 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. Distance to a community health center is a federally funded (HRSA) community health center serving everyone regardless of ability to pay. The closest ZIP that ranks healthier overall is ZIP 18436, 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 86%
15%
Climate / Disaster Risk
healthier than 90%
6%
Healthcare Access
healthier than 90%
6%
About typical
Environmental Hazard
healthier than 42%
16%
Holding it back
Social Need / SDOH
healthier than 29%
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.
Nearby
18424
Pennsylvaniashares a border
Score 51.79
Closest healthier
18436
Pennsylvaniashares a border
Score 52.55
Similar health profile
16912
Pennsylvania99% similar profile
Score 52.03
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
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| All teeth lost among adults aged >=65 years | 13.4% | 11.0–16.2 |
PreventionCDC PLACES 2022 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Colorectal cancer screening among adults aged 45–75 years | 69.0% | 64.7–73.1 |
| Visited dentist or dental clinic in the past year among adults | 66.6% | 63.2–69.9 |
| Mammography use among women aged 50-74 years | 78.7% | 72.5–84.2 |
Health Risk BehaviorsCDC PLACES 2022 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Short sleep duration among adults | 39.1% | 33.5–45.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | PA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.6% | 10.6% (3.1–25.8%) n=32,364 | 9.3% (2.1–21.6%) n=1,759 |
| Uninsured 18–64 | 4.5% | 9.0% (1.5–24.3%) n=32,286 | 6.3% (0.0–16.6%) n=1,753 |
| No HS diploma (25+) | 5.7% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.1%) n=1,762 |
| Bachelor's or higher (25+) | 34.2% | 23.3% (9.2–53.6%) n=32,505 | 21.9% (8.9–50.4%) n=1,762 |
| Unemployment rate (16+) | 5.6% | 3.9% (0.0–9.8%) n=32,274 | 3.9% (0.0–9.6%) n=1,755 |
| Households without a vehicle | 3.4% | 3.9% (0.0–12.5%) n=32,322 | 4.8% (0.0–15.6%) n=1,758 |
| Broadband subscription | 91.8% | 89.3% (75.1–97.1%) n=32,322 | 88.2% (75.7–97.3%) n=1,758 |
| Housing cost burden (≥30% income) | 28.0% | 23.7% (10.6–40.0%) n=32,322 | 21.9% (9.9–35.3%) n=1,758 |
| Homeownership rate | 86.2% | 78.7% (51.7–94.0%) n=32,322 | 80.1% (57.1–94.5%) n=1,758 |
| Crowded housing (>1 per room) | 0.9% | 1.3% (0.0–6.3%) n=32,322 | 0.6% (0.0–3.3%) n=1,758 |
| Foreign-born population | 1.9% | 2.6% (0.0–18.6%) n=32,553 | 1.4% (0.0–10.2%) n=1,763 |
| Single-parent households | 55.5% | 53.6% (37.3–74.1%) n=32,087 | 56.3% (38.5–72.8%) n=1,744 |
| Population 65+ | 22.8% | 19.4% (10.8–33.6%) n=32,553 | 21.1% (12.3–31.4%) n=1,763 |
| Median age | 47.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (33.9–55.5) n=1,752 |
| Median household income | $84,246 | $72,070 ($46,039–$118,707) n=30,318 | $71,250 ($50,880–$112,747) n=1,642 |
| Median home value | $261,100 | $222,200 ($100,300–$579,820) n=30,049 | $197,200 ($99,000–$382,120) n=1,649 |
| Median gross rent | $1,059 | $1,021 ($677–$1,912) n=25,670 | $983 ($701–$1,527) n=1,367 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | PA median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 79.2 yr ± 0.59 | 78.9 yr (74.7–82.8) n=31,308 | 79.2 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 0.59 years of 79.2, and it’s very unlikely to be off by more than twice that.
More ZIPs to explore ▾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