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ZipVitals

ZIP code

16228

in Ford Cliff, PennsylvaniaPopulation 409

53.95/ 100

Ranked #10,763 of 32,066 US ZIPs (top 34%)

Ranked #527 of 1,748 Pennsylvania ZIPs (top 30%)

Ranked #131 of 376 Pittsburgh, PA ZIPs (top 35%)

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.

Natural-disaster risk

in the bottom 0.5% nationally

Lower is healthier

ST1st
US1st
Definition & source ›

This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.

Full methodology ›

Fiber broadband

100%

at the national maximum

Higher is healthier

ST99th
US99th
Definition & source ›

The share of homes where fiber-optic internet service is available.

Full methodology ›

Expected annual disaster loss

$0

in the bottom 1.7% nationally

Lower is healthier

ST2nd
US2nd
Definition & source ›

FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.

Full methodology ›

Transportation noise

0.00%

at the national minimum

Lower is healthier

ST1st
US1st
Definition & 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 ›

Floodplain exposure

0.00%

at the national minimum

Lower is healthier

ST1st
US1st
Definition & source ›

The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.

Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.

Full methodology ›

Walkability

170 intersections/sq mi

in the top 3.9% nationally

Higher is healthier

ST93rd
US96th
Definition & source ›

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

Full methodology ›

Tree cover

0.46%

in the bottom 20% nationally

Higher is healthier

ST5th
US20th
Definition & source ›

The share of this ZIP’s land area covered by forest.

Full methodology ›

The read

With only part of the picture in hand, Ford Cliff, Pennsylvania (ZIP 16228) lands in the top 34% healthiest ZIPs nationally (10,763rd) and the top 30% of Pennsylvania (527th), based on limited data; treat as directional.

continue reading

From the measures on hand, the profile can say a few things: modeled disaster risk resides in the bottom 0.5% nationally, fiber broadband lies at the national maximum, and modeled expected annual loss settles in the bottom 1.7% nationally. Modeled transportation noise stands at the national minimum, floodplain exposure is at the national minimum, and walkability rests in the top 3.9% nationally. Modeled extreme heat sits at the national minimum, shared with about 19% of ZIPs. Modeled loud transportation noise registers at the national minimum, shared with about 22% of ZIPs. Housing-cost burden lands in the bottom 11.2% nationally, and homeownership resides in the top 14.2% nationally.

Compared with the ZIPs that surround it, walkability runs far higher than the surrounding ZIPs on this measure. In plain language, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. ZIP 16236, about 1.1 miles away, ranks 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

Social Need / SDOH

healthier than 68%

19%

Environmental Hazard

healthier than 61%

16%

Preventive CarePartial

healthier than 68%

15%

Climate / Disaster Risk

healthier than 86%

6%

Holding it back

Healthcare Access

healthier than 21%

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 years12.9%10.3–16.0
PreventionCDC PLACES 2022 · BRFSS
MeasureCrude prevalence95% CI
Colorectal cancer screening among adults aged 45–75 years65.5%60.5–70.2
Visited dentist or dental clinic in the past year among adults63.7%59.7–67.5
Mammography use among women aged 50-74 years78.5%70.9–84.8
Health Risk BehaviorsCDC PLACES 2022 · BRFSS
MeasureCrude prevalence95% CI
Short sleep duration among adults37.3%30.3–44.5
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)PA median (p10–p90)
Poverty rate16.4%10.6% (3.1–25.8%) n=32,3649.3% (2.1–21.6%) n=1,759
Uninsured 18–640.8%9.0% (1.5–24.3%) n=32,2866.3% (0.0–16.6%) n=1,753
No HS diploma (25+)5.3%7.9% (1.8–20.7%) n=32,5057.0% (1.5–16.1%) n=1,762
Bachelor's or higher (25+)17.7%23.3% (9.2–53.6%) n=32,50521.9% (8.9–50.4%) n=1,762
Unemployment rate (16+)2.3%3.9% (0.0–9.8%) n=32,2743.9% (0.0–9.6%) n=1,755
Households without a vehicle1.8%3.9% (0.0–12.5%) n=32,3224.8% (0.0–15.6%) n=1,758
Broadband subscription91.1%89.3% (75.1–97.1%) n=32,32288.2% (75.7–97.3%) n=1,758
Housing cost burden (≥30% income)11.3%23.7% (10.6–40.0%) n=32,32221.9% (9.9–35.3%) n=1,758
Homeownership rate91.7%78.7% (51.7–94.0%) n=32,32280.1% (57.1–94.5%) n=1,758
Crowded housing (>1 per room)1.8%1.3% (0.0–6.3%) n=32,3220.6% (0.0–3.3%) n=1,758
Foreign-born population2.7%2.6% (0.0–18.6%) n=32,5531.4% (0.0–10.2%) n=1,763
Single-parent households63.9%53.6% (37.3–74.1%) n=32,08756.3% (38.5–72.8%) n=1,744
Population 65+15.2%19.4% (10.8–33.6%) n=32,55321.1% (12.3–31.4%) n=1,763
Median age40.4 yr42.2 yr (33.0–56.3) n=32,29244.2 yr (33.9–55.5) n=1,752
Median household income$70,833$72,070 ($46,039–$118,707) n=30,318$71,250 ($50,880–$112,747) n=1,642
Median home value$107,300$222,200 ($100,300–$579,820) n=30,049$197,200 ($99,000–$382,120) n=1,649
Median gross rent$1,250$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 at birth78.7 yr ± 1.3478.9 yr (74.7–82.8) n=31,30879.2 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 1.34 years of 78.7, and it’s very unlikely to be off by more than twice that.

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