ZIP code
12985
in Schuyler Falls, New YorkPopulation 755
57.18/ 100
Ranked #7,100 of 32,066 US ZIPs (top 22%)
Ranked #853 of 1,730 New York ZIPs (top 49%)
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
81.2%
in the top 4.5% nationally
Higher is healthier
ST94thUS96thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Industrial-pollution burden
in the bottom 6.5% nationally
Lower is healthier
ST6thUS6thDefinition & 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 ›Walkability
1.9 intersections/sq mi
in the bottom 7.0% nationally
Higher is healthier
ST6thUS7thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Uninsured (under 65)
5.2%
in the bottom 7.6% nationally
Lower is healthier
ST32ndUS8thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›The read
On the composite measure, Schuyler Falls, New York (ZIP 12985) stands in the top 22% healthiest ZIPs nationally (7,100th) and the top 49% of New York (853rd).
Several of the strongest readings define how this area looks: modeled tree cover sits in the top 4.5% nationally, and industrial-pollution burden resides in the bottom 6.5% nationally. Households without a vehicle stands at the national minimum, shared with about 16% of ZIPs. Modeled extreme heat sits at the national minimum, shared with about 19% of ZIPs. Modeled loud transportation noise resides at the national minimum, shared with about 22% of ZIPs. Modeled transportation noise stands in the bottom 12.1% nationally, disaster risk sits in the bottom 13.8% nationally, and hearing disability resides in the bottom 17% nationally. On the other hand, walkability stands in the bottom 7.0% nationally, and lead in tap water sits in the top 11.7% nationally.
For clarity, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. ZIP 12912, just across the boundary, ranks better overall among the ZIPs nearby.
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.
Lifting this score
Chronic Disease Burden
healthier than 66%
21%
Environmental Hazard
healthier than 93%
14%
Preventive Care
healthier than 81%
13%
Disability
healthier than 78%
7%
Climate / Disaster Risk
healthier than 88%
5%
About typical
Social Need / SDOH
healthier than 48%
16%
Risk Behavior
healthier than 56%
11%
Mental Health
healthier than 50%
8%
Holding it back
Healthcare Access
healthier than 32%
5%
Lifting this score
Environmental Hazard
healthier than 98%
14%
Climate / Disaster Risk
healthier than 69%
5%
About typical
Chronic Disease Burden
healthier than 44%
21%
Social Need / SDOH
healthier than 43%
16%
Preventive Care
healthier than 40%
13%
Risk Behavior
healthier than 45%
11%
Disability
healthier than 52%
7%
Holding it back
Mental Health
healthier than 11%
8%
Healthcare Access
healthier than 27%
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
12901
New Yorkshares a border
Score 53.48
Closest healthier
12912
New Yorkshares a border
Score 58.80
Similar health profile
44064
Ohio98% similar profile
Score 56.03
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 | 27.6% | 24.6–30.7 |
| High blood pressure among adults | 33.1% | 29.4–36.7 |
| Cancer (non-skin) or melanoma among adults | 9.3% | 8.4–10.2 |
| Current asthma among adults | 11.8% | 10.5–13.1 |
| Coronary heart disease among adults | 6.3% | 5.6–7.2 |
| Chronic obstructive pulmonary disease among adults | 7.1% | 6.0–8.3 |
| Depression among adults | 22.8% | 19.6–25.9 |
| Diagnosed diabetes among adults | 9.9% | 8.5–11.4 |
| High cholesterol among adults who have ever been screened | 36.0% | 32.1–39.8 |
| Obesity among adults | 32.8% | 27.2–38.5 |
| Stroke among adults | 3.2% | 2.9–3.6 |
| All teeth lost among adults aged >=65 years | 11.6% | 9.5–14.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.2% | 4.2–6.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.7% | 73.4–79.6 |
| Visits to doctor for routine checkup within the past year among adults | 80.2% | 77.0–83.1 |
| Cholesterol screening among adults | 89.5% | 88.0–91.0 |
| Colorectal cancer screening among adults aged 45–75 years | 70.4% | 66.2–74.4 |
| Visited dentist or dental clinic in the past year among adults | 63.4% | 60.3–66.7 |
| Mammography use among women aged 50-74 years | 77.3% | 71.0–82.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.0% | 14.3–20.2 |
| Current cigarette smoking among adults | 14.0% | 11.6–16.6 |
| No leisure-time physical activity among adults | 24.3% | 20.3–28.5 |
| Short sleep duration among adults | 35.2% | 30.3–40.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.4% | 13.8–19.0 |
| Frequent mental distress among adults | 17.0% | 15.0–19.0 |
| Frequent physical distress among adults | 13.5% | 11.8–15.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.8% | 11.1–14.6 |
| Any disability among adults | 26.2% | 22.6–30.0 |
| Hearing disability among adults | 6.0% | 5.3–6.8 |
| Independent living disability among adults | 7.5% | 6.5–8.6 |
| Mobility disability among adults | 11.9% | 10.0–13.8 |
| Self-care disability among adults | 3.4% | 3.0–3.9 |
| Vision disability among adults | 4.1% | 3.5–4.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.3% | 18.8–25.8 |
| Food insecurity in the past 12 months among adults | 11.5% | 9.4–13.9 |
| Received food stamps in the past 12 months among adults | 10.4% | 8.4–12.6 |
| Housing insecurity in the past 12 months among adults | 10.4% | 8.6–12.3 |
| Lack of reliable transportation in the past 12 months among adults | 6.7% | 5.7–7.7 |
| Loneliness among adults | 32.2% | 27.4–36.8 |
| Utility services shut-off threat in the past 12 months among adults | 6.4% | 5.4–7.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 14.2% | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 0.9% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 11.0% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 13.0% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 2.6% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (0.0–9.7%) n=1,730 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 93.1% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 31.0% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 84.6% | 78.7% (51.7–94.0%) n=32,322 | 80.2% (40.9–94.8%) n=1,730 |
| Crowded housing (>1 per room) | 0.5% | 1.3% (0.0–6.3%) n=32,322 | 1.0% (0.0–6.6%) n=1,730 |
| Foreign-born population | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 73.9% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 31.4% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 59.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | $76,090 | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | $157,900 | $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 | 82.5 yr ± 1.22 | 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 1.22 years of 82.5, 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