ZIP code
17243
in Orbisonia, PennsylvaniaPopulation 1,264
47.35/ 100
Ranked #19,717 of 32,066 US ZIPs (bottom 39%)
Ranked #1,152 of 1,748 Pennsylvania ZIPs (bottom 34%)
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
88.4%
in the top 1.8% nationally
Higher is healthier
ST97thUS98thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Pharmacy access
0.74 per 1,000 residents
in the top 2.1% nationally
Higher is healthier
ST98thUS98thDefinition & source ›
The number of pharmacies located 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 ›Outpatient-care access
0.74 per 1,000 residents
in the top 3.6% nationally
Higher is healthier
ST97thUS96thDefinition & source ›
The number of outpatient clinics located 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
0.74 per 1,000 residents
in the top 4.6% nationally
Higher is healthier
ST96thUS95thDefinition & 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 ›Loud transportation noise
2.1%
in the top 7.1% nationally
Lower is healthier
ST93rdUS93rdDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 65 decibels — around the volume of normal conversation.
Full methodology ›Slow internet speeds
1.5%
in the top 7.5% nationally
Lower is healthier
ST97thUS93rdDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Transportation noise
9.6%
in the top 9.2% nationally
Lower is healthier
ST86thUS91stDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Energy-cost burden
5.2%
in the top 7.4% nationally
Lower is healthier
ST88thUS93rdDefinition & 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 ›Park land
13.4%
in the top 9.7% nationally
Higher is healthier
ST91stUS90thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›PFAS in drinking water
10.4%
in the bottom 10.0% nationally
Lower is healthier
ST2ndUS10thDefinition & 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 ›The read
From what the available data documents, Orbisonia, Pennsylvania (ZIP 17243) lands in the bottom 39% nationally (19,717th) and the bottom 34% of Pennsylvania (1,152nd), based on limited data; treat as directional.
The profile opens on partial but real readings: modeled tree cover rests in the top 1.8% nationally, pharmacy lies in the top 2.1% nationally, and outpatient sits in the top 3.6% nationally. Childcare settles in the top 4.6% nationally, and park land registers in the top 9.7% nationally. Against that, modeled loud transportation noise stands in the top 7.1% nationally, and slow internet speeds lands in the top 7.5% nationally. Modeled transportation noise is in the top 9.2% nationally, and energy burden resides in the top 7.4% nationally. Fiber broadband rests at the national minimum, shared with about 19% of ZIPs.
Relative to the ZIPs around it, park land runs far higher than the surrounding ZIPs on this measure. In plain terms, loud transportation noise is the modeled share of an area exposed to road, rail, and air noise at or above 65 decibels, near conversation volume. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. Energy burden is the share of household income that goes to home energy bills. The nearest healthier ZIP overall is ZIP 17051, 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 74%
6%
Healthcare Access
healthier than 70%
6%
About typical
Preventive CarePartial
healthier than 48%
15%
Holding it back
Social Need / SDOH
healthier than 12%
19%
Environmental Hazard
healthier than 36%
16%
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
17021
Pennsylvaniashares a border
Score 43.96
Closest healthier
17051
Pennsylvaniashares a border
Score 47.68
Similar health profile
49224
Michigan97% similar profile
Score 42.50
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 | 16.1% | 13.0–19.4 |
PreventionCDC PLACES 2022 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Colorectal cancer screening among adults aged 45–75 years | 65.7% | 60.5–70.6 |
| Visited dentist or dental clinic in the past year among adults | 59.6% | 55.7–63.4 |
| Mammography use among women aged 50-74 years | 76.4% | 68.6–83.0 |
Health Risk BehaviorsCDC PLACES 2022 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Short sleep duration among adults | 36.6% | 29.9–43.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | PA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 15.0% | 10.6% (3.1–25.8%) n=32,364 | 9.3% (2.1–21.6%) n=1,759 |
| Uninsured 18–64 | 8.3% | 9.0% (1.5–24.3%) n=32,286 | 6.3% (0.0–16.6%) n=1,753 |
| No HS diploma (25+) | 8.0% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.1%) n=1,762 |
| Bachelor's or higher (25+) | 23.2% | 23.3% (9.2–53.6%) n=32,505 | 21.9% (8.9–50.4%) n=1,762 |
| Unemployment rate (16+) | 1.6% | 3.9% (0.0–9.8%) n=32,274 | 3.9% (0.0–9.6%) n=1,755 |
| Households without a vehicle | 6.5% | 3.9% (0.0–12.5%) n=32,322 | 4.8% (0.0–15.6%) n=1,758 |
| Broadband subscription | 77.5% | 89.3% (75.1–97.1%) n=32,322 | 88.2% (75.7–97.3%) n=1,758 |
| Housing cost burden (≥30% income) | 27.5% | 23.7% (10.6–40.0%) n=32,322 | 21.9% (9.9–35.3%) n=1,758 |
| Homeownership rate | 74.7% | 78.7% (51.7–94.0%) n=32,322 | 80.1% (57.1–94.5%) n=1,758 |
| Crowded housing (>1 per room) | 1.2% | 1.3% (0.0–6.3%) n=32,322 | 0.6% (0.0–3.3%) n=1,758 |
| Foreign-born population | 0.2% | 2.6% (0.0–18.6%) n=32,553 | 1.4% (0.0–10.2%) n=1,763 |
| Single-parent households | 59.0% | 53.6% (37.3–74.1%) n=32,087 | 56.3% (38.5–72.8%) n=1,744 |
| Population 65+ | 29.7% | 19.4% (10.8–33.6%) n=32,553 | 21.1% (12.3–31.4%) n=1,763 |
| Median age | 54.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (33.9–55.5) n=1,752 |
| Median household income | $42,381 | $72,070 ($46,039–$118,707) n=30,318 | $71,250 ($50,880–$112,747) n=1,642 |
| Median home value | $155,400 | $222,200 ($100,300–$579,820) n=30,049 | $197,200 ($99,000–$382,120) n=1,649 |
| Median gross rent | $760 | $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 | 76.8 yr ± 0.79 | 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 0.79 years of 76.8, 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