ZIP code
17401
in York, PennsylvaniaPopulation 18,570
21.95/ 100
Ranked #31,744 of 32,066 US ZIPs (bottom 1.1%)
Ranked #1,737 of 1,748 Pennsylvania ZIPs (bottom 0.7%)
Ranked #39 of 39 York-Hanover, PA ZIPs (bottom 2.6%)
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.
Walkability
410 intersections/sq mi
in the top 0.3% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Short sleep
46.5%
in the top 1.6% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Industrial-pollution burden
in the top 1.6% nationally
Lower is healthier
ST98thUS98thDefinition & 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 ›Households without a vehicle
29.4%
in the top 2.5% nationally
Lower is healthier
ST97thUS98thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Homeownership rate
32.6%
in the bottom 3.6% nationally
Higher is healthier
ST2ndUS4thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Housing-cost burden
48.2%
in the top 3.8% nationally
Lower is healthier
ST97thUS96thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Tooth loss
26.1%
in the top 6.0% nationally
Lower is healthier
ST98thUS94thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Tree cover
0.00%
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Energy-cost burden
5.6%
in the top 4.6% nationally
Lower is healthier
ST93rdUS95thDefinition & 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 ›Unemployment rate
12.5%
in the top 5.8% nationally
Lower is healthier
ST95thUS94thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›The read
From the measures that could be gathered, ZIP 17401, one of several in York, Pennsylvania lands in the bottom 1.1% nationally (31,744th) and the bottom 0.7% of Pennsylvania (1,737th), based on limited data; treat as directional.
From the data that is available, the profile takes shape carefully: walkability resides in the top 0.3% nationally. On the other side, modeled short sleep is in the top 1.6% nationally, and industrial-pollution burden lands in the top 1.6% nationally. Households without a vehicle stands in the top 2.5% nationally, homeownership registers in the bottom 3.6% nationally, and housing-cost burden settles in the top 3.8% nationally. Modeled tooth loss sits in the top 6.0% nationally, tree cover lies at the national minimum, and energy burden rests in the top 4.6% nationally. Unemployment resides in the top 5.8% nationally.
Beside the areas that surround it, walkability runs far higher than the surrounding ZIPs on this measure. For readers new to these terms, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Energy burden is the share of household income that goes to home energy bills. Among nearby ZIPs, the nearest healthier one overall is ZIP 17403, 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
Climate / Disaster Risk
healthier than 70%
6%
Healthcare Access
healthier than 88%
6%
Holding it back
Social Need / SDOH
healthier than 5%
19%
Environmental Hazard
healthier than 2%
16%
Preventive CarePartial
healthier than 5%
15%
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 ›
Findings that name this ZIP
2 of our published findings list this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 73.1 ± 1.8 years. A median household income of $42,826 predicts 76.7 years — 3.6 years below.
Ranked #4,800 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Below its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 73.1 ± 1.8 years. The 50 nearest ZIP codes with estimates average 79.6 years — 6.5 years below them.
Ranked #3,599 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
17403
Pennsylvaniashares a border
Score 44.23
Closest healthier
17404
Pennsylvaniashares a border
Score 47.63
Similar health profile
44683
Ohio99% similar profile
Score 36.21
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 | 26.1% | 21.9–30.7 |
PreventionCDC PLACES 2022 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Colorectal cancer screening among adults aged 45–75 years | 57.1% | 51.9–62.2 |
| Visited dentist or dental clinic in the past year among adults | 47.2% | 43.4–51.0 |
| Mammography use among women aged 50-74 years | 70.8% | 62.5–78.3 |
Health Risk BehaviorsCDC PLACES 2022 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Short sleep duration among adults | 46.5% | 40.2–53.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | PA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 25.1% | 10.6% (3.1–25.8%) n=32,364 | 9.3% (2.1–21.6%) n=1,759 |
| Uninsured 18–64 | 20.2% | 9.0% (1.5–24.3%) n=32,286 | 6.3% (0.0–16.6%) n=1,753 |
| No HS diploma (25+) | 18.6% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.1%) n=1,762 |
| Bachelor's or higher (25+) | 18.5% | 23.3% (9.2–53.6%) n=32,505 | 21.9% (8.9–50.4%) n=1,762 |
| Unemployment rate (16+) | 12.5% | 3.9% (0.0–9.8%) n=32,274 | 3.9% (0.0–9.6%) n=1,755 |
| Households without a vehicle | 29.4% | 3.9% (0.0–12.5%) n=32,322 | 4.8% (0.0–15.6%) n=1,758 |
| Broadband subscription | 82.4% | 89.3% (75.1–97.1%) n=32,322 | 88.2% (75.7–97.3%) n=1,758 |
| Housing cost burden (≥30% income) | 48.2% | 23.7% (10.6–40.0%) n=32,322 | 21.9% (9.9–35.3%) n=1,758 |
| Homeownership rate | 32.6% | 78.7% (51.7–94.0%) n=32,322 | 80.1% (57.1–94.5%) n=1,758 |
| Crowded housing (>1 per room) | 3.1% | 1.3% (0.0–6.3%) n=32,322 | 0.6% (0.0–3.3%) n=1,758 |
| Foreign-born population | 10.5% | 2.6% (0.0–18.6%) n=32,553 | 1.4% (0.0–10.2%) n=1,763 |
| Single-parent households | 26.1% | 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 | 31.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (33.9–55.5) n=1,752 |
| Median household income | $42,826 | $72,070 ($46,039–$118,707) n=30,318 | $71,250 ($50,880–$112,747) n=1,642 |
| Median home value | $104,400 | $222,200 ($100,300–$579,820) n=30,049 | $197,200 ($99,000–$382,120) n=1,649 |
| Median gross rent | $1,023 | $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 | 73.1 yr ± 0.94 | 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 0.94 years of 73.1, 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