ZIP code
12410
in Big Indian, New YorkPopulation 343
55.69/ 100
Ranked #8,642 of 32,066 US ZIPs (top 27%)
Ranked #970 of 1,730 New York ZIPs (bottom 44%)
Ranked #37 of 52 Kingston, NY ZIPs (bottom 29%)
Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.
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
96.9%
in the top 0.03% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Unemployment rate
25.6%
in the top 1.2% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Households without a vehicle
33.8%
in the top 2.0% nationally
Lower is healthier
ST91stUS98thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Poverty rate
44.9%
in the top 2.2% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Housing-cost burden
47.4%
in the top 4.1% nationally
Lower is healthier
ST92ndUS96thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Walkability
1.4 intersections/sq mi
in the bottom 4.4% nationally
Higher is healthier
ST3rdUS4thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Distance to a hazardous-chemical facility
20.3 mi
in the top 4.7% nationally
Higher is healthier
ST97thUS95thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest facility that handles enough hazardous chemicals to require an EPA risk-management plan for accidental releases.
Full methodology ›PFAS in drinking water
9.2%
in the bottom 7.2% nationally
Lower is healthier
ST2ndUS7thDefinition & source ›
The modeled probability that PFAS “forever chemicals” would be detected in untreated groundwater in this area, the source private wells draw on.
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 ›Homeownership rate
96.2%
in the top 7.2% nationally
Higher is healthier
ST92ndUS93rdDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Loneliness
28.2%
in the bottom 8.4% nationally
Lower is healthier
ST9thUS8thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›The read
By the composite health measure, Big Indian, New York (ZIP 12410) ranks in the top 27% healthiest ZIPs nationally (8,642nd) and the bottom 44% of New York (970th).
A number of measures pull each way for this area: modeled tree cover resides in the top 0.03% nationally, and distance to a hazardous-chemical facility registers in the top 4.7% nationally. Modeled pfas rests in the bottom 7.2% nationally, and homeownership stands in the top 7.2% nationally. Modeled loneliness lies in the bottom 8.4% nationally. Set against that, unemployment lands in the top 1.2% nationally, households without a vehicle sits in the top 2.0% nationally, and poverty is in the top 2.2% nationally. Housing-cost burden settles in the top 4.1% nationally, and walkability resides in the bottom 4.4% nationally.
To spell things out, distance to a hazardous-chemical facility is a plant handling large amounts of hazardous chemicals that must file an EPA risk-management plan for accidental releases. Pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. Close by, ZIP 12465, 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. Compare it against the US, this state and the Kingston, NY metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental Hazard
healthier than 79%
14%
Preventive Care
healthier than 93%
13%
Risk Behavior
healthier than 84%
11%
Mental Health
healthier than 88%
8%
Climate / Disaster Risk
healthier than 94%
5%
About typical
Disability
healthier than 56%
7%
Holding it back
Chronic Disease Burden
healthier than 36%
21%
Social Need / SDOH
healthier than 15%
16%
Healthcare Access
healthier than 10%
5%
Lifting this score
Environmental Hazard
healthier than 85%
14%
Preventive Care
healthier than 71%
13%
Risk Behavior
healthier than 84%
11%
Climate / Disaster Risk
healthier than 92%
5%
About typical
Mental Health
healthier than 57%
8%
Holding it back
Chronic Disease Burden
healthier than 11%
21%
Social Need / SDOH
healthier than 13%
16%
Disability
healthier than 25%
7%
Healthcare Access
healthier than 10%
5%
Lifting this score
Environmental Hazard
healthier than 94%
14%
Preventive Care
healthier than 60%
13%
Risk Behavior
healthier than 74%
11%
Mental Health
healthier than 64%
8%
Climate / Disaster Risk
healthier than 98%
5%
Holding it back
Chronic Disease Burden
healthier than 12%
21%
Social Need / SDOH
healthier than 4%
16%
Disability
healthier than 16%
7%
Healthcare Access
healthier than 10%
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.
Nearby
12406
New Yorkshares a border
Score 53.35
Closest healthier
12465
New Yorkshares a border
Score 58.76
Similar health profile
57214
South Dakota98% similar profile
Score 55.30
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
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Arthritis among adults | 32.4% | 28.9–35.9 |
| High blood pressure among adults | 42.0% | 37.9–45.8 |
| Cancer (non-skin) or melanoma among adults | 11.8% | 10.7–12.9 |
| Current asthma among adults | 10.4% | 9.3–11.7 |
| Coronary heart disease among adults | 8.9% | 7.7–10.2 |
| Chronic obstructive pulmonary disease among adults | 8.4% | 6.8–10.1 |
| Depression among adults | 19.2% | 16.5–22.2 |
| Diagnosed diabetes among adults | 13.0% | 11.1–15.0 |
| High cholesterol among adults who have ever been screened | 41.3% | 37.5–45.5 |
| Obesity among adults | 30.2% | 25.0–36.1 |
| Stroke among adults | 4.3% | 3.7–4.9 |
| All teeth lost among adults aged >=65 years | 12.2% | 9.9–14.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.6% | 4.3–7.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.9% | 79.4–84.1 |
| Visits to doctor for routine checkup within the past year among adults | 83.6% | 80.9–86.0 |
| Cholesterol screening among adults | 91.0% | 89.5–92.2 |
| Colorectal cancer screening among adults aged 45–75 years | 70.5% | 65.8–74.6 |
| Visited dentist or dental clinic in the past year among adults | 66.0% | 62.7–69.1 |
| Mammography use among women aged 50-74 years | 77.4% | 70.6–83.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.3% | 11.2–15.8 |
| Current cigarette smoking among adults | 11.5% | 9.2–14.0 |
| No leisure-time physical activity among adults | 24.7% | 20.3–29.4 |
| Short sleep duration among adults | 34.1% | 29.0–39.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.9% | 14.9–21.3 |
| Frequent mental distress among adults | 14.3% | 12.6–16.2 |
| Frequent physical distress among adults | 14.4% | 12.4–16.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.6% | 9.9–13.5 |
| Any disability among adults | 28.9% | 24.6–33.4 |
| Hearing disability among adults | 8.2% | 7.1–9.4 |
| Independent living disability among adults | 8.1% | 6.8–9.5 |
| Mobility disability among adults | 15.5% | 12.9–18.4 |
| Self-care disability among adults | 4.2% | 3.5–4.9 |
| Vision disability among adults | 5.2% | 4.4–6.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.5% | 17.4–24.1 |
| Food insecurity in the past 12 months among adults | 11.8% | 9.3–14.6 |
| Received food stamps in the past 12 months among adults | 11.1% | 8.6–13.8 |
| Housing insecurity in the past 12 months among adults | 10.0% | 8.1–12.0 |
| Lack of reliable transportation in the past 12 months among adults | 7.0% | 5.9–8.3 |
| Loneliness among adults | 28.2% | 23.8–32.8 |
| Utility services shut-off threat in the past 12 months among adults | 6.2% | 5.2–7.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 44.9% | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 27.6% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 1.9% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 43.7% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 25.6% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (0.0–9.7%) n=1,730 |
| Households without a vehicle | 33.8% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 96.6% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 47.4% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 96.2% | 78.7% (51.7–94.0%) n=32,322 | 80.2% (40.9–94.8%) n=1,730 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 1.0% (0.0–6.6%) n=1,730 |
| Foreign-born population | 0.6% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 23.2% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 19.2% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 57.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | — | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | $245,500 | $222,200 ($100,300–$579,820) n=30,049 | $247,700 ($121,180–$801,380) n=1,629 |
| Median gross rent | — | $1,021 ($677–$1,912) n=25,670 | $1,162 ($782–$2,359) n=1,367 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 80.7 yr ± 1.56 | 78.9 yr (74.7–82.8) n=31,308 | 80.9 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 1.56 years of 80.7, and it’s very unlikely to be off by more than twice that.
More ZIPs to explore ▾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