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ZipVitals

ZIP code

14086

in Lancaster, New YorkPopulation 35,635

64.03/ 100

Ranked #2,429 of 32,066 US ZIPs (top 7.6%)

Ranked #327 of 1,730 New York ZIPs (top 19%)

Ranked #14 of 86 Buffalo-Cheektowaga, NY ZIPs (top 16%)

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

Robust across all 9 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.

Lead in tap water

8.7 ppb

in the top 4.5% nationally

Lower is healthier

US96th
Definition & source ›

The lead level at the 90th percentile of tap-water samples reported by the public water systems serving this ZIP, in parts per billion — the EPA requires action above 15 ppb.

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 ›

Mammography

82%

in the top 4.0% nationally

Higher is healthier

ST92nd
US96th
Definition & source ›

The estimated share of women aged 50–74 who had a mammogram within the past two years.

Full methodology ›

Cognitive disability

10.3%

in the bottom 6.3% nationally

Lower is healthier

ST19th
US6th
Definition & source ›

The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.

Full methodology ›

Expected annual disaster loss

$0

in the top 9.5% nationally

Lower is healthier

ST99th
US91st
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 ›

Binge drinking

19.2%

in the top 9.8% nationally

Lower is healthier

ST92nd
US90th
Definition & source ›

The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.

Full methodology ›

Fair or poor health

13.8%

in the bottom 8.7% nationally

Lower is healthier

ST18th
US9th
Definition & source ›

The estimated share of adults who rate their own general health as fair or poor.

Full methodology ›

Diabetes

9.0%

in the bottom 8.8% nationally

Lower is healthier

ST14th
US9th
Definition & source ›

The estimated share of adults who have been diagnosed with diabetes.

Full methodology ›

Uninsured (under 65)

4.2%

in the bottom 3.0% nationally

Lower is healthier

ST11th
US3rd
Definition & source ›

The estimated share of adults aged 18–64 with no current health-insurance coverage.

Full methodology ›

Energy-cost burden

2.0%

in the bottom 12.4% nationally

Lower is healthier

ST7th
US12th
Definition & source ›

The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.

A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.

Full methodology ›

Vision disability

3.4%

in the bottom 8.6% nationally

Lower is healthier

ST12th
US9th
Definition & source ›

The estimated share of adults who are blind or have serious difficulty seeing even with glasses.

Full methodology ›

The read

Judged by its overall standing, Lancaster, New York (ZIP 14086) sits in the top 7.6% healthiest ZIPs nationally (2,429th) and the top 19% of New York (327th).

continue reading

The measures that most flatter this area set the tone for the rest: modeled mammography is in the top 4.0% nationally, and cognitive disability lies in the bottom 6.3% nationally. Modeled extreme heat registers at the national minimum, shared with about 19% of ZIPs. Modeled food insecurity is in the bottom 10.4% nationally, and transportation lies in the bottom 11.1% nationally. Modeled fair or poor health registers in the bottom 8.7% nationally, and diabetes is in the bottom 8.8% nationally. Against that, lead in tap water lies in the top 4.5% nationally, and modeled expected annual loss registers in the top 9.5% nationally. Modeled binge drinking is in the top 9.8% nationally.

Placed beside its immediate neighbors, park land runs far higher than the surrounding ZIPs on this measure. Put plainly, lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. 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 nearby ZIP overall is ZIP 14026, 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. Compare it against the US, this state and the Buffalo-Cheektowaga, NY metro area.

Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.

Compare within

Lifting this score

Chronic Disease Burden

healthier than 76%

21%

Social Need / SDOH

healthier than 88%

16%

Environmental Hazard

healthier than 97%

14%

Preventive Care

healthier than 96%

13%

Risk Behavior

healthier than 66%

11%

Mental Health

healthier than 78%

8%

Disability

healthier than 90%

7%

Climate / Disaster Risk

healthier than 66%

5%

About typical

Healthcare Access

healthier than 55%

5%

Nothing measured is holding this score back.

Lifting this score

Social Need / SDOH

healthier than 85%

16%

Environmental Hazard

in the top 0.6%

14%

Preventive Care

healthier than 83%

13%

Disability

healthier than 75%

7%

About typical

Chronic Disease Burden

healthier than 57%

21%

Risk Behavior

healthier than 57%

11%

Healthcare Access

healthier than 44%

5%

Holding it back

Mental Health

healthier than 40%

8%

Climate / Disaster Risk

healthier than 29%

5%

Lifting this score

Chronic Disease Burden

healthier than 80%

21%

Social Need / SDOH

healthier than 83%

16%

Environmental Hazard

healthier than 97%

14%

Preventive Care

healthier than 73%

13%

Risk Behavior

healthier than 73%

11%

Mental Health

healthier than 71%

8%

Disability

healthier than 79%

7%

About typical

Healthcare Access

healthier than 41%

5%

Holding it back

Climate / Disaster Risk

healthier than 16%

5%

“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 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Arthritis among adults27.6%24.9–30.2
High blood pressure among adults30.5%27.5–33.3
Cancer (non-skin) or melanoma among adults9.7%8.7–10.6
Current asthma among adults11.2%9.9–12.5
Coronary heart disease among adults5.8%5.2–6.5
Chronic obstructive pulmonary disease among adults6.0%5.3–6.7
Depression among adults20.9%18.3–23.7
Diagnosed diabetes among adults9.0%7.8–10.2
High cholesterol among adults who have ever been screened37.3%34.0–40.5
Obesity among adults30.2%26.1–34.3
Stroke among adults2.9%2.7–3.2
All teeth lost among adults aged >=65 years8.5%7.0–10.2
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years4.2%3.5–4.9
Taking medicine to control high blood pressure among adults with high blood pressure78.6%75.7–81.2
Visits to doctor for routine checkup within the past year among adults82.9%80.4–85.2
Cholesterol screening among adults90.6%89.4–91.8
Colorectal cancer screening among adults aged 45–75 years71.1%67.5–74.4
Visited dentist or dental clinic in the past year among adults70.4%67.8–72.8
Mammography use among women aged 50-74 years82.0%77.4–85.9
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults19.2%16.5–22.0
Current cigarette smoking among adults10.8%9.2–12.4
No leisure-time physical activity among adults20.6%17.7–23.6
Short sleep duration among adults34.7%31.1–38.3
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults13.8%12.1–15.6
Frequent mental distress among adults15.0%13.3–16.8
Frequent physical distress among adults12.0%10.5–13.4
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults10.3%9.0–11.5
Any disability among adults21.9%19.1–24.6
Hearing disability among adults5.7%5.0–6.3
Independent living disability among adults6.5%5.7–7.2
Mobility disability among adults10.8%9.4–12.2
Self-care disability among adults2.9%2.6–3.2
Vision disability among adults3.4%3.1–3.8
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults20.9%18.1–23.7
Food insecurity in the past 12 months among adults8.6%7.3–9.9
Received food stamps in the past 12 months among adults7.4%6.3–8.6
Housing insecurity in the past 12 months among adults8.4%7.2–9.6
Lack of reliable transportation in the past 12 months among adults5.3%4.7–6.0
Loneliness among adults28.9%25.3–32.5
Utility services shut-off threat in the past 12 months among adults5.2%4.5–5.9
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)NY median (p10–p90)
Poverty rate4.2%10.6% (3.1–25.8%) n=32,3649.5% (2.5–22.6%) n=1,734
Uninsured 18–642.7%9.0% (1.5–24.3%) n=32,2865.0% (0.0–13.1%) n=1,734
No HS diploma (25+)5.3%7.9% (1.8–20.7%) n=32,5057.1% (1.2–17.5%) n=1,743
Bachelor's or higher (25+)41.3%23.3% (9.2–53.6%) n=32,50531.8% (13.9–62.1%) n=1,743
Unemployment rate (16+)2.1%3.9% (0.0–9.8%) n=32,2744.4% (0.0–9.7%) n=1,730
Households without a vehicle4.2%3.9% (0.0–12.5%) n=32,3225.7% (0.0–28.9%) n=1,730
Broadband subscription91.5%89.3% (75.1–97.1%) n=32,32291.5% (81.1–98.3%) n=1,730
Housing cost burden (≥30% income)22.4%23.7% (10.6–40.0%) n=32,32227.2% (14.2–45.5%) n=1,730
Homeownership rate83.5%78.7% (51.7–94.0%) n=32,32280.2% (40.9–94.8%) n=1,730
Crowded housing (>1 per room)0.7%1.3% (0.0–6.3%) n=32,3221.0% (0.0–6.6%) n=1,730
Foreign-born population2.8%2.6% (0.0–18.6%) n=32,5534.8% (0.0–28.7%) n=1,746
Single-parent households56.0%53.6% (37.3–74.1%) n=32,08754.0% (36.7–74.5%) n=1,716
Population 65+21.3%19.4% (10.8–33.6%) n=32,55320.0% (12.0–33.2%) n=1,746
Median age46.4 yr42.2 yr (33.0–56.3) n=32,29243.5 yr (34.6–56.1) n=1,733
Median household income$99,499$72,070 ($46,039–$118,707) n=30,318$81,837 ($55,470–$145,610) n=1,626
Median home value$294,300$222,200 ($100,300–$579,820) n=30,049$247,700 ($121,180–$801,380) n=1,629
Median gross rent$1,125$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 birth80.1 yr ± 0.6478.9 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 0.64 years of 80.1, 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