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ZipVitals

ZIP code

18821

in Great Bend, PennsylvaniaPopulation 1,044

48.02/ 100

Ranked #18,904 of 32,066 US ZIPs (bottom 41%)

Ranked #1,086 of 1,748 Pennsylvania ZIPs (bottom 38%)

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.

Elder-services access

0.97 per 1,000 residents

in the top 0.8% nationally

Higher is healthier

ST99th
US99th
Definition & source ›

The number of services for older adults and people with disabilities 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 ›

Pharmacy access

0.97 per 1,000 residents

in the top 1.1% 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 ›

Fatal road crashes

0 per 100,000 residents per year

at the national minimum

Lower is healthier

ST1st
US1st
Definition & source ›

The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.

A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.

Full methodology ›

Transportation noise

12.1%

in the top 6.3% nationally

Lower is healthier

ST91st
US94th
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 ›

Industrial-pollution burden

in the bottom 6.5% nationally

Lower is healthier

ST1st
US6th
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 ›

Physician access

1.9 per 1,000 residents

in the top 7.6% nationally

Higher is healthier

ST91st
US92nd
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 ›

Arsenic in groundwater

17.4%

in the top 8.0% nationally

Lower is healthier

ST99th
US92nd
Definition & source ›

The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms per liter.

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 ›

Natural-disaster risk

in the bottom 8.5% nationally

Lower is healthier

ST28th
US8th
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 ›

Households without a vehicle

13.0%

in the top 9.5% nationally

Lower is healthier

ST86th
US91st
Definition & source ›

The share of households with no vehicle available.

Full methodology ›

Fine-particle (PM2.5) exceedance

0.55%

in the top 17% nationally

Lower is healthier

ST97th
US83rd
Definition & source ›

The share of days in the year when modeled fine-particle (PM2.5) pollution was above the EPA’s daily limit of 35 micrograms per cubic meter.

Full methodology ›

The read

With only part of the picture in hand, Great Bend, Pennsylvania (ZIP 18821) lands in the bottom 41% nationally (18,904th) and the bottom 38% of Pennsylvania (1,086th), based on limited data; treat as directional.

continue reading

With coverage still limited, the data points to what it can here: elder services sits in the top 0.8% nationally, pharmacy registers in the top 1.1% nationally, and fatal road crashes lands at the national minimum. Modeled industrial-pollution burden resides in the bottom 6.5% nationally, physicians lies in the top 7.6% nationally, and modeled disaster risk settles in the bottom 8.5% nationally. Modeled extreme heat stands at the national minimum, shared with about 19% of ZIPs. Working the other way, modeled transportation noise is in the top 6.3% nationally, and arsenic rests in the top 8.0% nationally. Households without a vehicle sits in the top 9.5% nationally.

Compared with the ZIPs that surround it, elder services runs far higher than the surrounding ZIPs on this measure. In plain language, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. ZIP 13795, just across the boundary, 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.

Nothing measured is lifting this score.

About typical

Preventive CarePartial

healthier than 51%

15%

Climate / Disaster Risk

healthier than 60%

6%

Healthcare Access

healthier than 55%

6%

Holding it back

Social Need / SDOH

healthier than 15%

19%

Environmental Hazard

healthier than 28%

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.

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 years13.3%10.6–16.1
PreventionCDC PLACES 2022 · BRFSS
MeasureCrude prevalence95% CI
Colorectal cancer screening among adults aged 45–75 years65.9%60.4–71.1
Visited dentist or dental clinic in the past year among adults62.3%58.4–66.0
Mammography use among women aged 50-74 years75.6%67.4–82.6
Health Risk BehaviorsCDC PLACES 2022 · BRFSS
MeasureCrude prevalence95% CI
Short sleep duration among adults39.2%32.1–46.6
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)PA median (p10–p90)
Poverty rate9.8%10.6% (3.1–25.8%) n=32,3649.3% (2.1–21.6%) n=1,759
Uninsured 18–648.7%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+)15.3%23.3% (9.2–53.6%) n=32,50521.9% (8.9–50.4%) n=1,762
Unemployment rate (16+)5.9%3.9% (0.0–9.8%) n=32,2743.9% (0.0–9.6%) n=1,755
Households without a vehicle13.0%3.9% (0.0–12.5%) n=32,3224.8% (0.0–15.6%) n=1,758
Broadband subscription80.3%89.3% (75.1–97.1%) n=32,32288.2% (75.7–97.3%) n=1,758
Housing cost burden (≥30% income)18.4%23.7% (10.6–40.0%) n=32,32221.9% (9.9–35.3%) n=1,758
Homeownership rate71.9%78.7% (51.7–94.0%) n=32,32280.1% (57.1–94.5%) n=1,758
Crowded housing (>1 per room)0.6%1.3% (0.0–6.3%) n=32,3220.6% (0.0–3.3%) n=1,758
Foreign-born population1.2%2.6% (0.0–18.6%) n=32,5531.4% (0.0–10.2%) n=1,763
Single-parent households62.9%53.6% (37.3–74.1%) n=32,08756.3% (38.5–72.8%) n=1,744
Population 65+25.0%19.4% (10.8–33.6%) n=32,55321.1% (12.3–31.4%) n=1,763
Median age47.7 yr42.2 yr (33.0–56.3) n=32,29244.2 yr (33.9–55.5) n=1,752
Median household income$52,857$72,070 ($46,039–$118,707) n=30,318$71,250 ($50,880–$112,747) n=1,642
Median home value$171,800$222,200 ($100,300–$579,820) n=30,049$197,200 ($99,000–$382,120) n=1,649
Median gross rent$713$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 birth76.9 yr ± 1.2578.9 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 1.25 years of 76.9, 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