ZIP code
18925
in Furlong, PennsylvaniaPopulation 6,250
66.79/ 100
Ranked #1,345 of 32,066 US ZIPs (top 4.2%)
Ranked #57 of 1,748 Pennsylvania ZIPs (top 3.3%)
Ranked #55 of 361 Philadelphia-Camden-Wilmington, PA-NJ-DE-MD ZIPs (top 15%)
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.
Median household income
$207,609
in the top 0.9% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Fatal road crashes
1.6 per 100,000 residents per year
in the bottom 5.7% nationally
Lower is healthier
ST7thUS6thDefinition & 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 ›Tooth loss
5.7%
in the bottom 3.8% nationally
Lower is healthier
ST2ndUS4thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Mammography
80.9%
in the top 7.1% nationally
Higher is healthier
ST93rdUS93rdDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Energy-cost burden
1.9%
in the bottom 11.2% nationally
Lower is healthier
ST4thUS11thDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›Distance to a community health center
13.3 mi
in the top 14.3% nationally
Lower is healthier
ST95thUS86thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest federally funded community health center, which serves patients regardless of ability to pay.
Full methodology ›Arsenic in groundwater
9.3%
in the top 19% nationally
Lower is healthier
ST93rdUS81stDefinition & 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
On the measures available for this ZIP, Furlong, Pennsylvania (ZIP 18925) lands in the top 4.2% healthiest ZIPs nationally (1,345th) and the top 3.3% of Pennsylvania (57th), based on limited data; treat as directional.
From the data that is available, the profile takes shape carefully: household income sits in the top 0.9% nationally, and fatal road crashes lies in the bottom 5.7% nationally. Modeled tooth loss rests in the bottom 3.8% nationally, and mammography resides in the top 7.1% nationally. Fiber broadband is in the top 12.6% nationally, poverty lands in the bottom 13.1% nationally, and modeled energy burden stands in the bottom 11.2% nationally. Crowded housing registers at the national minimum, shared with about 29% of ZIPs. On the other side, distance to a Superfund site settles in the bottom 12.4% nationally, and distance to a community health center sits in the top 14.3% nationally.
Next to the surrounding area, park land runs far lower than the surrounding ZIPs on this measure. For anyone unfamiliar, distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Energy burden is the share of household income that goes to home energy bills. Distance to a community health center is a federally funded (HRSA) community health center serving everyone regardless of ability to pay. For a healthier comparison close by, see ZIP 18912, 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. Compare it against the US, this state and the Philadelphia-Camden-Wilmington, PA-NJ-DE-MD metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Social Need / SDOH
healthier than 88%
19%
Preventive CarePartial
healthier than 97%
15%
Climate / Disaster Risk
healthier than 64%
6%
About typical
Environmental Hazard
healthier than 53%
16%
Holding it back
Healthcare Access
healthier than 20%
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.
Lifting this score
Social Need / SDOH
healthier than 75%
19%
Environmental Hazard
healthier than 75%
16%
Preventive CarePartial
in the top 0.5%
15%
Climate / Disaster Risk
healthier than 74%
6%
Holding it back
Healthcare Access
in the bottom 0.9%
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.
Nearby
18901
Pennsylvaniashares a border
Score 63.82
Closest healthier
18912
Pennsylvaniashares a border
Score 67.01
Similar health profile
18457
Pennsylvania99% similar profile
Score 65.19
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 | 5.7% | 4.5–7.1 |
PreventionCDC PLACES 2022 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Colorectal cancer screening among adults aged 45–75 years | 68.9% | 64.3–73.3 |
| Visited dentist or dental clinic in the past year among adults | 76.5% | 73.7–79.3 |
| Mammography use among women aged 50-74 years | 80.9% | 74.3–86.3 |
Health Risk BehaviorsCDC PLACES 2022 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Short sleep duration among adults | 34.2% | 28.6–40.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | PA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 3.8% | 10.6% (3.1–25.8%) n=32,364 | 9.3% (2.1–21.6%) n=1,759 |
| Uninsured 18–64 | 1.0% | 9.0% (1.5–24.3%) n=32,286 | 6.3% (0.0–16.6%) n=1,753 |
| No HS diploma (25+) | 1.3% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.1%) n=1,762 |
| Bachelor's or higher (25+) | 70.1% | 23.3% (9.2–53.6%) n=32,505 | 21.9% (8.9–50.4%) n=1,762 |
| Unemployment rate (16+) | 1.8% | 3.9% (0.0–9.8%) n=32,274 | 3.9% (0.0–9.6%) n=1,755 |
| Households without a vehicle | 1.9% | 3.9% (0.0–12.5%) n=32,322 | 4.8% (0.0–15.6%) n=1,758 |
| Broadband subscription | 95.1% | 89.3% (75.1–97.1%) n=32,322 | 88.2% (75.7–97.3%) n=1,758 |
| Housing cost burden (≥30% income) | 19.0% | 23.7% (10.6–40.0%) n=32,322 | 21.9% (9.9–35.3%) n=1,758 |
| Homeownership rate | 89.7% | 78.7% (51.7–94.0%) n=32,322 | 80.1% (57.1–94.5%) n=1,758 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 0.6% (0.0–3.3%) n=1,758 |
| Foreign-born population | 8.4% | 2.6% (0.0–18.6%) n=32,553 | 1.4% (0.0–10.2%) n=1,763 |
| Single-parent households | 39.7% | 53.6% (37.3–74.1%) n=32,087 | 56.3% (38.5–72.8%) n=1,744 |
| Population 65+ | 12.0% | 19.4% (10.8–33.6%) n=32,553 | 21.1% (12.3–31.4%) n=1,763 |
| Median age | 40.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (33.9–55.5) n=1,752 |
| Median household income | $207,609 | $72,070 ($46,039–$118,707) n=30,318 | $71,250 ($50,880–$112,747) n=1,642 |
| Median home value | $730,000 | $222,200 ($100,300–$579,820) n=30,049 | $197,200 ($99,000–$382,120) n=1,649 |
| Median gross rent | $2,102 | $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 | 84.1 yr ± 1.24 | 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 1.24 years of 84.1, 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