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ZipVitals

ZIP code

16744

in Rew, PennsylvaniaPopulation 187

49.92/ 100

Ranked #16,364 of 32,066 US ZIPs (bottom 49%)

Ranked #881 of 1,748 Pennsylvania ZIPs (bottom 50%)

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

94.7%

in the top 0.3% nationally

Higher is healthier

ST99th
US99th
Definition & source ›

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

Full methodology ›

Home broadband subscription

100%

at the national maximum

Higher is healthier

ST99th
US99th
Definition & source ›

The share of households with a broadband internet subscription.

Full methodology ›

Unemployment rate

14.8%

in the top 3.9% nationally

Lower is healthier

ST97th
US96th
Definition & source ›

The share of the civilian labor force that is unemployed.

Full methodology ›

Households without a vehicle

20.2%

in the top 4.4% nationally

Lower is healthier

ST94th
US96th
Definition & source ›

The share of households with no vehicle available.

Full methodology ›

Natural-disaster risk

in the bottom 4.8% nationally

Lower is healthier

ST17th
US5th
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 ›

Floodplain exposure

0.69%

in the bottom 10.6% nationally

Lower is healthier

ST9th
US11th
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 ›

Humid extreme heat

17 days/year

in the bottom 13.7% nationally

Lower is healthier

ST2nd
US14th
Definition & source ›

The average number of days per year when modeled heat stress — temperature, humidity, sun, and wind combined — reaches levels hard on the body outdoors.

Full methodology ›

Air-toxics cancer risk

20 per million

in the bottom 25% nationally

Lower is healthier

ST1st
US25th
Definition & source ›

The EPA’s modeled estimate of added lifetime cancer risk from breathing outdoor air toxics, in cases per million people exposed over a lifetime.

Full methodology ›

The read

With the picture still incomplete, Rew, Pennsylvania (ZIP 16744) lands in the bottom 49% nationally (16,364th) and the bottom 50% of Pennsylvania (881st), based on limited data; treat as directional.

continue reading

From the measures on hand, the profile can say a few things: modeled tree cover settles in the top 0.3% nationally, home broadband subscription stands at the national maximum, and modeled disaster risk is in the bottom 4.8% nationally. Modeled extreme heat rests at the national minimum, shared with about 19% of ZIPs. Modeled expected annual loss sits in the bottom 10.1% nationally, and floodplain exposure registers in the bottom 10.6% nationally. Modeled loud transportation noise lands at the national minimum, shared with about 22% of ZIPs. Against that, unemployment resides in the top 3.9% nationally, and households without a vehicle lies in the top 4.4% nationally. Fiber broadband settles at the national minimum, shared with about 19% of ZIPs.

In everyday 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. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. A healthier neighbor overall sits at ZIP 16732, 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

Preventive CarePartial

healthier than 62%

15%

Climate / Disaster Risk

healthier than 97%

6%

Holding it back

Social Need / SDOH

healthier than 29%

19%

Environmental Hazard

healthier than 27%

16%

Healthcare Access

healthier than 29%

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 years14.3%11.5–17.5
PreventionCDC PLACES 2022 · BRFSS
MeasureCrude prevalence95% CI
Colorectal cancer screening among adults aged 45–75 years68.2%63.1–72.8
Visited dentist or dental clinic in the past year among adults59.0%55.0–62.8
Mammography use among women aged 50-74 years77.3%69.4–83.8
Health Risk BehaviorsCDC PLACES 2022 · BRFSS
MeasureCrude prevalence95% CI
Short sleep duration among adults37.7%30.4–45.1
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)PA median (p10–p90)
Poverty rate20.3%10.6% (3.1–25.8%) n=32,3649.3% (2.1–21.6%) n=1,759
Uninsured 18–640.0%9.0% (1.5–24.3%) n=32,2866.3% (0.0–16.6%) n=1,753
No HS diploma (25+)15.2%7.9% (1.8–20.7%) n=32,5057.0% (1.5–16.1%) n=1,762
Bachelor's or higher (25+)13.1%23.3% (9.2–53.6%) n=32,50521.9% (8.9–50.4%) n=1,762
Unemployment rate (16+)14.8%3.9% (0.0–9.8%) n=32,2743.9% (0.0–9.6%) n=1,755
Households without a vehicle20.2%3.9% (0.0–12.5%) n=32,3224.8% (0.0–15.6%) n=1,758
Broadband subscription100.0%89.3% (75.1–97.1%) n=32,32288.2% (75.7–97.3%) n=1,758
Housing cost burden (≥30% income)14.6%23.7% (10.6–40.0%) n=32,32221.9% (9.9–35.3%) n=1,758
Homeownership rate76.4%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 population0.0%2.6% (0.0–18.6%) n=32,5531.4% (0.0–10.2%) n=1,763
Single-parent households59.6%53.6% (37.3–74.1%) n=32,08756.3% (38.5–72.8%) n=1,744
Population 65+3.2%19.4% (10.8–33.6%) n=32,55321.1% (12.3–31.4%) n=1,763
Median age34.8 yr42.2 yr (33.0–56.3) n=32,29244.2 yr (33.9–55.5) n=1,752
Median household income$72,070 ($46,039–$118,707) n=30,318$71,250 ($50,880–$112,747) n=1,642
Median home value$120,000$222,200 ($100,300–$579,820) n=30,049$197,200 ($99,000–$382,120) n=1,649
Median gross rent$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 birth78.8 yr ± 1.5378.9 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 1.53 years of 78.8, 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