Skip to main content
ZipVitals

ZIP code

14569

in Warsaw, New YorkPopulation 6,430

52.11/ 100

Ranked #13,302 of 32,066 US ZIPs (top 41%)

Ranked #1,291 of 1,730 New York ZIPs (bottom 25%)

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Broad coverage across health domains

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.

Mental-health provider access

0.79 per 1,000 residents

in the top 0.4% 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

1.1 per 1,000 residents

in the top 1.5% 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 ›

Transit access

8.3 per 1,000 residents

in the top 1.9% nationally

Higher is healthier

ST98th
US98th
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 ›

Arsenic in groundwater

30.2%

in the top 3.2% nationally

Lower is healthier

ST99th
US97th
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 ›

Physician access

1.9 per 1,000 residents

in the top 7.9% nationally

Higher is healthier

ST89th
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 ›

Elder-services access

0.16 per 1,000 residents

in the top 9.4% nationally

Higher is healthier

ST92nd
US91st
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 ›

The read

Warsaw, New York (ZIP 14569), by its composite score, sits in the top 41% healthiest ZIPs nationally (13,302nd) and the bottom 25% of New York (1,291st), based on limited data; treat as directional.

continue reading

The data opens on a genuinely even set of readings: mental-health providers resides in the top 0.4% nationally, and outpatient is in the top 1.5% nationally. Transit lands in the top 1.9% nationally. Distance to an emergency room stands at the national minimum, shared with about 11% of ZIPs. Physicians registers in the top 7.9% nationally, and elder services settles in the top 9.4% nationally. Modeled extreme heat sits at the national minimum, shared with about 19% of ZIPs. Grocery lies in the top 10.6% nationally. Distance to a community health center rests at the national minimum, shared with about 23% of ZIPs. On the other side, modeled arsenic resides in the top 3.2% nationally.

Next to the surrounding area, mental-health providers runs far higher than the surrounding ZIPs on this measure. For anyone unfamiliar, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. Distance to a community health center is a federally funded (HRSA) community health center serving everyone regardless of ability to pay. For a healthier comparison close by, see ZIP 14011, 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.

Compare within

Lifting this score

Social Need / SDOH

healthier than 60%

16%

Preventive Care

healthier than 72%

13%

Climate / Disaster RiskPartial

healthier than 96%

5%

Healthcare Access

in the top 0.00%

5%

About typical

Environmental Hazard

healthier than 53%

14%

Mental Health

healthier than 56%

8%

Disability

healthier than 50%

7%

Holding it back

Chronic Disease Burden

healthier than 38%

21%

Risk Behavior

healthier than 32%

11%

Lifting this score

Climate / Disaster RiskPartial

healthier than 97%

5%

Healthcare Access

in the top 0.00%

5%

About typical

Social Need / SDOH

healthier than 54%

16%

Environmental Hazard

healthier than 45%

14%

Holding it back

Chronic Disease Burden

healthier than 12%

21%

Preventive Care

healthier than 30%

13%

Risk Behavior

healthier than 23%

11%

Mental Health

healthier than 15%

8%

Disability

healthier than 19%

7%

“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

One of our published findings lists 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 its nearby ZIPs

    The ZIP codes that outlive their neighbors

    Estimated life expectancy is 77.3 ± 1.8 years. The 50 nearest ZIP codes with estimates average 80.6 years — 3.3 years below them.

    Ranked #2,606 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, 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 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Arthritis among adults31.0%27.7–34.7
High blood pressure among adults37.8%33.8–42.3
Cancer (non-skin) or melanoma among adults10.4%9.4–11.4
Current asthma among adults11.5%10.2–13.0
Coronary heart disease among adults7.8%6.9–8.7
Chronic obstructive pulmonary disease among adults8.8%7.6–10.0
Depression among adults21.8%18.6–25.6
Diagnosed diabetes among adults11.8%10.2–13.6
High cholesterol among adults who have ever been screened39.3%35.1–44.1
Obesity among adults36.1%28.6–44.9
Stroke among adults4.0%3.6–4.5
All teeth lost among adults aged >=65 years15.7%12.9–18.8
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years6.1%5.1–7.4
Taking medicine to control high blood pressure among adults with high blood pressure78.8%76.1–81.5
Visits to doctor for routine checkup within the past year among adults81.4%78.2–84.5
Cholesterol screening among adults89.0%87.4–90.5
Colorectal cancer screening among adults aged 45–75 years67.5%62.6–72.1
Visited dentist or dental clinic in the past year among adults60.6%56.9–64.3
Mammography use among women aged 50-74 years74.8%67.0–81.6
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults16.7%13.9–20.1
Current cigarette smoking among adults15.3%13.1–17.8
No leisure-time physical activity among adults27.0%22.7–31.7
Short sleep duration among adults38.7%32.1–45.7
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults19.3%16.7–22.2
Frequent mental distress among adults17.0%15.2–19.2
Frequent physical distress among adults15.2%13.4–17.2
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults13.8%12.1–15.7
Any disability among adults30.9%26.8–35.5
Hearing disability among adults7.5%6.6–8.4
Independent living disability among adults9.0%7.9–10.3
Mobility disability among adults15.7%13.6–18.0
Self-care disability among adults4.3%3.8–4.8
Vision disability among adults5.2%4.6–5.8
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults23.4%19.8–27.2
Food insecurity in the past 12 months among adults14.0%11.6–16.5
Received food stamps in the past 12 months among adults13.4%11.3–15.8
Housing insecurity in the past 12 months among adults11.7%9.9–13.7
Lack of reliable transportation in the past 12 months among adults7.9%6.8–9.0
Loneliness among adults32.1%27.1–37.6
Utility services shut-off threat in the past 12 months among adults7.4%6.4–8.6
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)NY median (p10–p90)
Poverty rate17.2%10.6% (3.1–25.8%) n=32,3649.5% (2.5–22.6%) n=1,734
Uninsured 18–644.1%9.0% (1.5–24.3%) n=32,2865.0% (0.0–13.1%) n=1,734
No HS diploma (25+)6.9%7.9% (1.8–20.7%) n=32,5057.1% (1.2–17.5%) n=1,743
Bachelor's or higher (25+)17.4%23.3% (9.2–53.6%) n=32,50531.8% (13.9–62.1%) n=1,743
Unemployment rate (16+)5.2%3.9% (0.0–9.8%) n=32,2744.4% (0.0–9.7%) n=1,730
Households without a vehicle9.2%3.9% (0.0–12.5%) n=32,3225.7% (0.0–28.9%) n=1,730
Broadband subscription85.1%89.3% (75.1–97.1%) n=32,32291.5% (81.1–98.3%) n=1,730
Housing cost burden (≥30% income)23.9%23.7% (10.6–40.0%) n=32,32227.2% (14.2–45.5%) n=1,730
Homeownership rate61.9%78.7% (51.7–94.0%) n=32,32280.2% (40.9–94.8%) n=1,730
Crowded housing (>1 per room)0.2%1.3% (0.0–6.3%) n=32,3221.0% (0.0–6.6%) n=1,730
Foreign-born population2.3%2.6% (0.0–18.6%) n=32,5534.8% (0.0–28.7%) n=1,746
Single-parent households69.9%53.6% (37.3–74.1%) n=32,08754.0% (36.7–74.5%) n=1,716
Population 65+25.6%19.4% (10.8–33.6%) n=32,55320.0% (12.0–33.2%) n=1,746
Median age50.6 yr42.2 yr (33.0–56.3) n=32,29243.5 yr (34.6–56.1) n=1,733
Median household income$61,059$72,070 ($46,039–$118,707) n=30,318$81,837 ($55,470–$145,610) n=1,626
Median home value$152,900$222,200 ($100,300–$579,820) n=30,049$247,700 ($121,180–$801,380) n=1,629
Median gross rent$911$1,021 ($677–$1,912) n=25,670$1,162 ($782–$2,359) n=1,367
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)NY median (p10–p90)
Life expectancy at birth77.3 yr ± 0.9078.9 yr (74.7–82.8) n=31,30880.9 yr (78.0–84.5) n=1,692

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 0.90 years of 77.3, 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