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ZipVitals

ZIP code

15901

in Johnstown, PennsylvaniaPopulation 3,397

16.97/ 100

Ranked #31,989 of 32,066 US ZIPs (bottom 0.3%)

Ranked #1,745 of 1,748 Pennsylvania ZIPs (bottom 0.2%)

Ranked #46 of 46 Johnstown, PA ZIPs (bottom 2.2%)

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.

Tooth loss

33.3%

in the top 1.7% nationally

Lower is healthier

ST99th
US98th
Definition & source ›

The estimated share of adults aged 65 and older who have lost all of their natural teeth.

Full methodology ›

Mental-health provider access

0.89 per 1,000 residents

in the top 0.3% nationally

Higher is healthier

ST99th
US99th
Definition & source ›

The number of mental-health 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 ›

Outpatient-care access

2.1 per 1,000 residents

in the top 0.3% nationally

Higher is healthier

ST99th
US99th
Definition & 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 ›

Physician access

8.9 per 1,000 residents

in the top 0.4% nationally

Higher is healthier

ST99th
US99th
Definition & source ›

The number of physicians’ offices 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 ›

Civic-institution access

3.3 per 1,000 residents

in the top 0.4% nationally

Higher is healthier

ST99th
US99th
Definition & source ›

The number of civic and social organizations 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 ›

Transit access

17 per 1,000 residents

in the top 0.5% nationally

Higher is healthier

ST99th
US99th
Definition & source ›

The number of public-transit stops 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 ›

Walkability

310 intersections/sq mi

in the top 0.7% nationally

Higher is healthier

ST98th
US99th
Definition & source ›

The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.

Full methodology ›

Pharmacy access

0.89 per 1,000 residents

in the top 1.4% nationally

Higher is healthier

ST99th
US99th
Definition & 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 ›

Households without a vehicle

38.5%

in the top 1.6% nationally

Lower is healthier

ST98th
US98th
Definition & source ›

The share of households with no vehicle available.

Full methodology ›

Loud transportation noise

4.0%

in the top 2.1% nationally

Lower is healthier

ST98th
US98th
Definition & 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 ›

Cross-source signals

Combined exposures in this ZIP

More than one environmental exposure stands out in this ZIP. Each is established independently and shown on its own above; they are grouped here for context — not because one causes the other.

The read

With coverage still partial across the sources, ZIP 15901, one of several in Johnstown, Pennsylvania lands in the bottom 0.3% nationally (31,989th) and the bottom 0.2% of Pennsylvania (1,745th), based on limited data; treat as directional.

continue reading

The partial picture points to a handful of readings, with caveats: mental-health providers resides in the top 0.3% nationally, outpatient settles in the top 0.3% nationally, and physicians is in the top 0.4% nationally. Civic sits in the top 0.4% nationally, transit lands in the top 0.5% nationally, and walkability lies in the top 0.7% nationally. Pharmacy stands in the top 1.4% nationally. Set against that, modeled tooth loss rests in the top 1.7% nationally, and households without a vehicle registers in the top 1.6% nationally. Modeled loud transportation noise resides in the top 2.1% nationally.

Measured against the nearby ZIPs, mental-health providers runs far higher than the surrounding ZIPs on this measure. Defined simply, 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. ZIP 15902, just across the boundary, comes out healthier overall.

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

Healthcare Access

healthier than 92%

6%

Holding it back

Social Need / SDOH

healthier than 12%

19%

Environmental Hazard

healthier than 3%

16%

Preventive CarePartial

healthier than 7%

15%

Climate / Disaster Risk

healthier than 25%

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 years33.3%28.3–38.4
PreventionCDC PLACES 2022 · BRFSS
MeasureCrude prevalence95% CI
Colorectal cancer screening among adults aged 45–75 years58.2%52.5–63.6
Visited dentist or dental clinic in the past year among adults47.8%43.8–51.6
Mammography use among women aged 50-74 years72.4%64.0–79.8
Health Risk BehaviorsCDC PLACES 2022 · BRFSS
MeasureCrude prevalence95% CI
Short sleep duration among adults44.7%37.9–51.7
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)PA median (p10–p90)
Poverty rate39.2%10.6% (3.1–25.8%) n=32,3649.3% (2.1–21.6%) n=1,759
Uninsured 18–649.1%9.0% (1.5–24.3%) n=32,2866.3% (0.0–16.6%) n=1,753
No HS diploma (25+)12.9%7.9% (1.8–20.7%) n=32,5057.0% (1.5–16.1%) n=1,762
Bachelor's or higher (25+)14.7%23.3% (9.2–53.6%) n=32,50521.9% (8.9–50.4%) n=1,762
Unemployment rate (16+)11.5%3.9% (0.0–9.8%) n=32,2743.9% (0.0–9.6%) n=1,755
Households without a vehicle38.5%3.9% (0.0–12.5%) n=32,3224.8% (0.0–15.6%) n=1,758
Broadband subscription78.0%89.3% (75.1–97.1%) n=32,32288.2% (75.7–97.3%) n=1,758
Housing cost burden (≥30% income)33.3%23.7% (10.6–40.0%) n=32,32221.9% (9.9–35.3%) n=1,758
Homeownership rate42.4%78.7% (51.7–94.0%) n=32,32280.1% (57.1–94.5%) n=1,758
Crowded housing (>1 per room)0.0%1.3% (0.0–6.3%) n=32,3220.6% (0.0–3.3%) n=1,758
Foreign-born population0.7%2.6% (0.0–18.6%) n=32,5531.4% (0.0–10.2%) n=1,763
Single-parent households45.0%53.6% (37.3–74.1%) n=32,08756.3% (38.5–72.8%) n=1,744
Population 65+23.2%19.4% (10.8–33.6%) n=32,55321.1% (12.3–31.4%) n=1,763
Median age51.6 yr42.2 yr (33.0–56.3) n=32,29244.2 yr (33.9–55.5) n=1,752
Median household income$27,121$72,070 ($46,039–$118,707) n=30,318$71,250 ($50,880–$112,747) n=1,642
Median home value$20,800$222,200 ($100,300–$579,820) n=30,049$197,200 ($99,000–$382,120) n=1,649
Median gross rent$510$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 unavailable for this ZIP — fewer than 80% of the census tracts that make it up could be matched across the 2010→2020 tract-boundary revision, so no value is published rather than an unreliable one. See how coverage gaps are handled.
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