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ZipVitals

ZIP code

13856

in Walton, New YorkPopulation 5,881

43.45/ 100

Ranked #23,957 of 32,066 US ZIPs (bottom 25%)

Ranked #1,672 of 1,730 New York ZIPs (bottom 3.4%)

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.

Industrial-pollution burden

in the bottom 3.9% nationally

Lower is healthier

ST3rd
US4th
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 ›

Tree cover

75.1%

in the top 6.9% nationally

Higher is healthier

ST90th
US93rd
Definition & source ›

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

Full methodology ›

Distance to a Superfund site

1.1 mi

in the bottom 7.4% nationally

Higher is healthier

ST10th
US7th
Definition & source ›

The distance in miles from this ZIP’s edge to the nearest Superfund site — an abandoned or uncontrolled hazardous-waste site the EPA has listed for cleanup.

Full methodology ›

Short sleep

42.2%

in the top 8.6% nationally

Lower is healthier

ST92nd
US91st
Definition & source ›

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

Full methodology ›

Poverty rate

23.9%

in the top 12.2% nationally

Lower is healthier

ST91st
US88th
Definition & source ›

The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.

Full methodology ›

Humid extreme heat

16.4 days/year

in the bottom 13.1% nationally

Lower is healthier

ST8th
US13th
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 ›

Energy-cost burden

4.8%

in the top 11.4% nationally

Lower is healthier

ST96th
US89th
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 ›

Outpatient-care access

0.32 per 1,000 residents

in the top 16% nationally

Higher is healthier

ST90th
US84th
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 ›

Coronary heart disease

9.5%

in the top 14.3% nationally

Lower is healthier

ST97th
US86th
Definition & source ›

The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.

Full methodology ›

Fine-particle (PM2.5) exceedance

0.55%

in the top 17% nationally

Lower is healthier

ST94th
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

Walton, New York (ZIP 13856), in overall standing, comes out in the bottom 25% nationally (23,957th) and the bottom 3.4% of New York (1,672nd).

continue reading

A balanced showing across the data, with a few readings each side: modeled industrial-pollution burden resides in the bottom 3.9% nationally. Distance to an emergency room sits at the national minimum, shared with about 11% of ZIPs. Modeled tree cover stands in the top 6.9% nationally. Modeled extreme heat resides at the national minimum, shared with about 19% of ZIPs. Pharmacy sits in the top 12.1% nationally, and modeled humid heat stands in the bottom 13.1% nationally. On the other hand, distance to a Superfund site resides in the bottom 7.4% nationally, and modeled short sleep sits in the top 8.6% nationally. Poverty stands in the top 12.2% nationally, and unemployment resides in the top 12.4% nationally.

Defined simply, for reference, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. The closest healthier ZIP overall is ZIP 13753, 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

Preventive Care

healthier than 65%

13%

Climate / Disaster Risk

healthier than 86%

5%

About typical

Environmental Hazard

healthier than 50%

14%

Mental Health

healthier than 47%

8%

Holding it back

Chronic Disease Burden

healthier than 17%

21%

Social Need / SDOH

healthier than 14%

16%

Risk Behavior

healthier than 10%

11%

Disability

healthier than 24%

7%

Healthcare Access

healthier than 18%

5%

Lifting this score

Climate / Disaster Risk

healthier than 63%

5%

About typical

Environmental Hazard

healthier than 41%

14%

Holding it back

Chronic Disease Burden

healthier than 2%

21%

Social Need / SDOH

healthier than 12%

16%

Preventive Care

healthier than 24%

13%

Risk Behavior

healthier than 6%

11%

Mental Health

healthier than 10%

8%

Disability

healthier than 5%

7%

Healthcare Access

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 ›

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.

  • Above what income predicts

    The ZIP codes that outlive their incomes

    Estimated life expectancy is 78.9 ± 1.4 years. A median household income of $48,958 predicts 77.3 years — 1.6 years above.

    Ranked #1,193 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, 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 adults33.8%30.4–37.3
High blood pressure among adults42.2%38.1–46.2
Cancer (non-skin) or melanoma among adults10.4%9.4–11.3
Current asthma among adults11.7%10.4–13.1
Coronary heart disease among adults9.5%8.5–10.5
Chronic obstructive pulmonary disease among adults11.2%10.0–12.6
Depression among adults22.2%19.0–25.6
Diagnosed diabetes among adults14.3%12.5–16.3
High cholesterol among adults who have ever been screened40.0%35.8–44.1
Obesity among adults36.2%29.6–43.0
Stroke among adults4.9%4.5–5.4
All teeth lost among adults aged >=65 years20.3%17.0–24.3
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years7.1%6.0–8.4
Taking medicine to control high blood pressure among adults with high blood pressure79.7%77.0–82.2
Visits to doctor for routine checkup within the past year among adults81.5%78.4–84.4
Cholesterol screening among adults88.0%86.5–89.5
Colorectal cancer screening among adults aged 45–75 years68.6%63.9–73.2
Visited dentist or dental clinic in the past year among adults56.1%52.5–59.9
Mammography use among women aged 50-74 years74.2%66.8–80.9
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults15.5%12.8–18.3
Current cigarette smoking among adults18.5%16.0–21.2
No leisure-time physical activity among adults32.7%28.0–37.3
Short sleep duration among adults42.2%36.2–48.5
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults23.0%20.2–26.0
Frequent mental distress among adults17.8%15.7–19.8
Frequent physical distress among adults17.5%15.6–19.6
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults15.1%13.3–16.9
Any disability among adults34.7%30.5–38.9
Hearing disability among adults8.8%7.9–9.9
Independent living disability among adults10.9%9.7–12.2
Mobility disability among adults18.6%16.4–21.0
Self-care disability among adults5.6%5.1–6.3
Vision disability among adults6.9%6.2–7.6
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults24.0%20.1–28.3
Food insecurity in the past 12 months among adults18.9%15.7–22.2
Received food stamps in the past 12 months among adults20.2%17.0–23.3
Housing insecurity in the past 12 months among adults13.7%11.5–16.1
Lack of reliable transportation in the past 12 months among adults9.7%8.4–11.1
Loneliness among adults31.2%25.8–37.1
Utility services shut-off threat in the past 12 months among adults9.5%8.1–11.1
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)NY median (p10–p90)
Poverty rate23.9%10.6% (3.1–25.8%) n=32,3649.5% (2.5–22.6%) n=1,734
Uninsured 18–647.8%9.0% (1.5–24.3%) n=32,2865.0% (0.0–13.1%) n=1,734
No HS diploma (25+)9.0%7.9% (1.8–20.7%) n=32,5057.1% (1.2–17.5%) n=1,743
Bachelor's or higher (25+)25.3%23.3% (9.2–53.6%) n=32,50531.8% (13.9–62.1%) n=1,743
Unemployment rate (16+)8.9%3.9% (0.0–9.8%) n=32,2744.4% (0.0–9.7%) n=1,730
Households without a vehicle6.8%3.9% (0.0–12.5%) n=32,3225.7% (0.0–28.9%) n=1,730
Broadband subscription87.0%89.3% (75.1–97.1%) n=32,32291.5% (81.1–98.3%) n=1,730
Housing cost burden (≥30% income)33.2%23.7% (10.6–40.0%) n=32,32227.2% (14.2–45.5%) n=1,730
Homeownership rate78.4%78.7% (51.7–94.0%) n=32,32280.2% (40.9–94.8%) n=1,730
Crowded housing (>1 per room)2.3%1.3% (0.0–6.3%) n=32,3221.0% (0.0–6.6%) n=1,730
Foreign-born population3.0%2.6% (0.0–18.6%) n=32,5534.8% (0.0–28.7%) n=1,746
Single-parent households49.7%53.6% (37.3–74.1%) n=32,08754.0% (36.7–74.5%) n=1,716
Population 65+24.6%19.4% (10.8–33.6%) n=32,55320.0% (12.0–33.2%) n=1,746
Median age50.0 yr42.2 yr (33.0–56.3) n=32,29243.5 yr (34.6–56.1) n=1,733
Median household income$48,958$72,070 ($46,039–$118,707) n=30,318$81,837 ($55,470–$145,610) n=1,626
Median home value$156,500$222,200 ($100,300–$579,820) n=30,049$247,700 ($121,180–$801,380) n=1,629
Median gross rent$819$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 birth78.9 yr ± 0.7378.9 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 0.73 years of 78.9, 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