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ZipVitals

ZIP code

12835

in Hadley, New YorkPopulation 2,708

54.83/ 100

Ranked #9,658 of 32,066 US ZIPs (top 30%)

Ranked #1,051 of 1,730 New York ZIPs (bottom 39%)

Ranked #80 of 114 Albany-Schenectady-Troy, NY ZIPs (bottom 30%)

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.

Tree cover

81.4%

in the top 4.4% nationally

Higher is healthier

ST94th
US96th
Definition & source ›

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

Full methodology ›

High cholesterol

42.6%

in the top 12.6% nationally

Lower is healthier

ST93rd
US87th
Definition & source ›

The estimated share of adults with high cholesterol, among those who have ever been screened for it.

Full methodology ›

Fatal road crashes

25.8 per 100,000 residents per year

in the top 18% nationally

Lower is healthier

ST96th
US82nd
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 ›

Uninsured (under 65)

5.3%

in the bottom 8.3% nationally

Lower is healthier

ST36th
US8th
Definition & source ›

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

Full methodology ›

The read

Judged by its overall standing, Hadley, New York (ZIP 12835) sits in the top 30% healthiest ZIPs nationally (9,658th) and the bottom 39% of New York (1,051st), based on limited data; treat as directional.

continue reading

A healthy showing across the board, and a few measures carry it: modeled tree cover rests in the top 4.4% nationally. Modeled extreme heat settles at the national minimum, shared with about 19% of ZIPs. Modeled loud transportation noise lands at the national minimum, shared with about 22% of ZIPs. Modeled colon screening rests in the top 11.9% nationally, and humid heat settles in the bottom 17% nationally. Modeled uninsured lands in the bottom 8.3% nationally, and transportation noise rests in the bottom 18% nationally. On the other hand, unemployment settles in the top 14.6% nationally, and modeled high cholesterol lands in the top 12.6% nationally. Fatal road crashes rests in the top 18% nationally.

Put plainly, extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. Loud transportation noise is the modeled share of an area exposed to road, rail, and air noise at or above 65 decibels, near conversation volume. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. A healthier nearby ZIP overall is ZIP 12804, about 3.5 miles away.

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 Albany-Schenectady-Troy, 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

Environmental Hazard

healthier than 90%

14%

Preventive Care

healthier than 91%

13%

Risk Behavior

healthier than 71%

11%

Mental Health

healthier than 75%

8%

Climate / Disaster RiskPartial

healthier than 97%

5%

About typical

Disability

healthier than 57%

7%

Healthcare Access

healthier than 52%

5%

Holding it back

Chronic Disease Burden

healthier than 28%

21%

Social Need / SDOH

healthier than 36%

16%

Lifting this score

Environmental Hazard

healthier than 96%

14%

Preventive Care

healthier than 63%

13%

Risk Behavior

healthier than 66%

11%

Climate / Disaster RiskPartial

healthier than 98%

5%

About typical

Healthcare Access

healthier than 41%

5%

Holding it back

Chronic Disease Burden

healthier than 8%

21%

Social Need / SDOH

healthier than 32%

16%

Mental Health

healthier than 34%

8%

Disability

healthier than 26%

7%

Lifting this score

Environmental Hazard

healthier than 99%

14%

Preventive Care

healthier than 60%

13%

Risk Behavior

healthier than 77%

11%

Climate / Disaster RiskPartial

in the top 0.2%

5%

About typical

Mental Health

healthier than 52%

8%

Healthcare Access

healthier than 59%

5%

Holding it back

Chronic Disease Burden

healthier than 5%

21%

Social Need / SDOH

healthier than 31%

16%

Disability

healthier than 25%

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 ›

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 adults34.1%30.8–37.4
High blood pressure among adults38.9%35.2–42.6
Cancer (non-skin) or melanoma among adults11.3%10.3–12.3
Current asthma among adults11.0%9.7–12.2
Coronary heart disease among adults8.5%7.5–9.5
Chronic obstructive pulmonary disease among adults8.8%7.6–10.1
Depression among adults20.8%18.0–23.7
Diagnosed diabetes among adults12.7%11.0–14.5
High cholesterol among adults who have ever been screened42.6%38.9–46.3
Obesity among adults36.1%30.9–41.4
Stroke among adults4.2%3.7–4.6
All teeth lost among adults aged >=65 years16.3%13.4–19.7
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years5.3%4.3–6.5
Taking medicine to control high blood pressure among adults with high blood pressure81.6%79.0–84.0
Visits to doctor for routine checkup within the past year among adults82.0%79.2–84.4
Cholesterol screening among adults90.9%89.6–92.0
Colorectal cancer screening among adults aged 45–75 years71.7%67.6–75.7
Visited dentist or dental clinic in the past year among adults59.7%56.2–63.1
Mammography use among women aged 50-74 years79.1%72.8–84.6
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults15.0%12.7–17.5
Current cigarette smoking among adults14.4%12.0–16.8
No leisure-time physical activity among adults25.0%21.2–29.1
Short sleep duration among adults33.1%28.6–38.0
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults18.4%15.7–21.1
Frequent mental distress among adults15.6%13.8–17.5
Frequent physical distress among adults15.0%13.2–17.0
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults12.5%10.9–14.3
Any disability among adults29.7%25.9–33.5
Hearing disability among adults7.7%6.9–8.7
Independent living disability among adults8.3%7.2–9.4
Mobility disability among adults15.5%13.2–17.7
Self-care disability among adults4.2%3.6–4.7
Vision disability among adults4.9%4.3–5.5
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults22.2%19.0–25.7
Food insecurity in the past 12 months among adults11.9%9.7–14.2
Received food stamps in the past 12 months among adults11.2%9.3–13.4
Housing insecurity in the past 12 months among adults10.1%8.5–12.0
Lack of reliable transportation in the past 12 months among adults6.6%5.7–7.7
Loneliness among adults31.1%26.9–35.7
Utility services shut-off threat in the past 12 months among adults6.2%5.3–7.3
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)NY median (p10–p90)
Poverty rate10.2%10.6% (3.1–25.8%) n=32,3649.5% (2.5–22.6%) n=1,734
Uninsured 18–648.3%9.0% (1.5–24.3%) n=32,2865.0% (0.0–13.1%) n=1,734
No HS diploma (25+)10.1%7.9% (1.8–20.7%) n=32,5057.1% (1.2–17.5%) n=1,743
Bachelor's or higher (25+)25.7%23.3% (9.2–53.6%) n=32,50531.8% (13.9–62.1%) n=1,743
Unemployment rate (16+)8.2%3.9% (0.0–9.8%) n=32,2744.4% (0.0–9.7%) n=1,730
Households without a vehicle1.8%3.9% (0.0–12.5%) n=32,3225.7% (0.0–28.9%) n=1,730
Broadband subscription92.4%89.3% (75.1–97.1%) n=32,32291.5% (81.1–98.3%) n=1,730
Housing cost burden (≥30% income)26.2%23.7% (10.6–40.0%) n=32,32227.2% (14.2–45.5%) n=1,730
Homeownership rate84.1%78.7% (51.7–94.0%) n=32,32280.2% (40.9–94.8%) n=1,730
Crowded housing (>1 per room)2.5%1.3% (0.0–6.3%) n=32,3221.0% (0.0–6.6%) n=1,730
Foreign-born population4.9%2.6% (0.0–18.6%) n=32,5534.8% (0.0–28.7%) n=1,746
Single-parent households74.9%53.6% (37.3–74.1%) n=32,08754.0% (36.7–74.5%) n=1,716
Population 65+29.7%19.4% (10.8–33.6%) n=32,55320.0% (12.0–33.2%) n=1,746
Median age55.6 yr42.2 yr (33.0–56.3) n=32,29243.5 yr (34.6–56.1) n=1,733
Median household income$66,992$72,070 ($46,039–$118,707) n=30,318$81,837 ($55,470–$145,610) n=1,626
Median home value$224,100$222,200 ($100,300–$579,820) n=30,049$247,700 ($121,180–$801,380) n=1,629
Median gross rent$1,023$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 birth78.3 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 78.3, 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