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ZipVitals

ZIP code

19602

in Reading, PennsylvaniaPopulation 18,495

13.76/ 100

Ranked #32,044 of 32,066 US ZIPs (bottom 0.07%)

Ranked #1,747 of 1,748 Pennsylvania ZIPs (bottom 0.06%)

Ranked #49 of 49 Reading, PA ZIPs (bottom 2.1%)

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.

Industrial-pollution burden

in the top 0.4% nationally

Lower is healthier

ST99th
US99th
Definition & 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 ›

Short sleep

47.9%

in the top 1.0% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The estimated share of adults who usually sleep less than seven hours in a 24-hour period.

Full methodology ›

Walkability

330 intersections/sq mi

in the top 0.6% 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 ›

Colon-cancer screening

50.8%

in the bottom 2.4% nationally

Higher is healthier

ST1st
US2nd
Definition & source ›

The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.

Full methodology ›

Tooth loss

28.8%

in the top 3.9% nationally

Lower is healthier

ST99th
US96th
Definition & source ›

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

Full methodology ›

Lithium in drinking water

9.3 µg/L

in the bottom 1.9% nationally

Lower is healthier

ST3rd
US2nd
Definition & source ›

The average detected level of lithium — a natural trace metal with no federal drinking-water limit yet — across the public water systems serving this ZIP, in micrograms per liter.

Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.

Full methodology ›

Housing-cost burden

52%

in the top 2.5% nationally

Lower is healthier

ST98th
US98th
Definition & source ›

The share of households spending 30% or more of their income on housing.

Full methodology ›

Households without a vehicle

28.5%

in the top 2.6% nationally

Lower is healthier

ST96th
US97th
Definition & source ›

The share of households with no vehicle available.

Full methodology ›

Homeownership rate

26.5%

in the bottom 2.7% nationally

Higher is healthier

ST2nd
US3rd
Definition & source ›

The share of occupied homes that are owned, rather than rented, by the people living in them.

Full methodology ›

Unemployment rate

17.1%

in the top 2.8% nationally

Lower is healthier

ST98th
US97th
Definition & source ›

The share of the civilian labor force that is unemployed.

Full methodology ›

The read

Working only from the data in hand, ZIP 19602, one of several in Reading, Pennsylvania lands in the bottom 0.07% nationally (32,044th) and the bottom 0.06% of Pennsylvania (1,747th), based on limited data; treat as directional.

continue reading

The measures that are covered come first, caveats noted: walkability sits in the top 0.6% nationally, and lithium in drinking water rests in the bottom 1.9% nationally. By contrast, modeled industrial-pollution burden is in the top 0.4% nationally, and short sleep stands in the top 1.0% nationally. Modeled colon screening settles in the bottom 2.4% nationally, modeled tooth loss lies in the top 3.9% nationally, and housing-cost burden resides in the top 2.5% nationally. Households without a vehicle lands in the top 2.6% nationally, homeownership registers in the bottom 2.7% nationally, and unemployment sits in the top 2.8% nationally.

Weighed against the ZIPs nearby, industrial-pollution burden runs far higher than the surrounding ZIPs on this measure. To translate a couple of terms, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Lithium in drinking water is a natural metal that dissolves into some groundwater and has no federal drinking-water limit yet. Overall, the nearest healthier neighbor is ZIP 19508, 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

Healthcare Access

healthier than 88%

6%

About typical

Climate / Disaster Risk

healthier than 57%

6%

Holding it back

Social Need / SDOH

healthier than 3%

19%

Environmental Hazard

in the bottom 0.8%

16%

Preventive CarePartial

healthier than 2%

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

3 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 74.2 ± 1.5 years. A median household income of $34,582 predicts 75.9 years — 1.7 years below.

    Ranked #2,171 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 74.2 ± 1.5 years. The 49 nearest ZIP codes with estimates average 79.9 years — 5.8 years below them.

    Ranked #3,517 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.

  • Highest-risk tenth

    Air toxics and the years between the two ends of the risk scale

    Modeled air-toxics cancer risk is 39.2 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 74.2 ± 1.5 years.

    Ranked #1,590 of the 4,173 ZIP codes this finding names, ordered by modeled air-toxics risk, highest first.

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 years28.8%24.3–33.5
PreventionCDC PLACES 2022 · BRFSS
MeasureCrude prevalence95% CI
Colorectal cancer screening among adults aged 45–75 years50.8%45.1–56.5
Visited dentist or dental clinic in the past year among adults42.2%38.3–46.1
Mammography use among women aged 50-74 years69.5%60.5–77.6
Health Risk BehaviorsCDC PLACES 2022 · BRFSS
MeasureCrude prevalence95% CI
Short sleep duration among adults47.9%41.0–55.2
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)PA median (p10–p90)
Poverty rate35.5%10.6% (3.1–25.8%) n=32,3649.3% (2.1–21.6%) n=1,759
Uninsured 18–6419.7%9.0% (1.5–24.3%) n=32,2866.3% (0.0–16.6%) n=1,753
No HS diploma (25+)31.2%7.9% (1.8–20.7%) n=32,5057.0% (1.5–16.1%) n=1,762
Bachelor's or higher (25+)10.1%23.3% (9.2–53.6%) n=32,50521.9% (8.9–50.4%) n=1,762
Unemployment rate (16+)17.1%3.9% (0.0–9.8%) n=32,2743.9% (0.0–9.6%) n=1,755
Households without a vehicle28.5%3.9% (0.0–12.5%) n=32,3224.8% (0.0–15.6%) n=1,758
Broadband subscription86.7%89.3% (75.1–97.1%) n=32,32288.2% (75.7–97.3%) n=1,758
Housing cost burden (≥30% income)52.0%23.7% (10.6–40.0%) n=32,32221.9% (9.9–35.3%) n=1,758
Homeownership rate26.5%78.7% (51.7–94.0%) n=32,32280.1% (57.1–94.5%) n=1,758
Crowded housing (>1 per room)6.4%1.3% (0.0–6.3%) n=32,3220.6% (0.0–3.3%) n=1,758
Foreign-born population20.1%2.6% (0.0–18.6%) n=32,5531.4% (0.0–10.2%) n=1,763
Single-parent households24.2%53.6% (37.3–74.1%) n=32,08756.3% (38.5–72.8%) n=1,744
Population 65+9.2%19.4% (10.8–33.6%) n=32,55321.1% (12.3–31.4%) n=1,763
Median age31.4 yr42.2 yr (33.0–56.3) n=32,29244.2 yr (33.9–55.5) n=1,752
Median household income$34,582$72,070 ($46,039–$118,707) n=30,318$71,250 ($50,880–$112,747) n=1,642
Median home value$96,000$222,200 ($100,300–$579,820) n=30,049$197,200 ($99,000–$382,120) n=1,649
Median gross rent$1,041$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 birth74.1 yr ± 0.7478.9 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 0.74 years of 74.1, 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