ZIP code
10925
in Greenwood Lake, New YorkPopulation 4,313
57.49/ 100
Ranked #6,814 of 32,066 US ZIPs (top 21%)
Ranked #815 of 1,730 New York ZIPs (top 47%)
Ranked #64 of 77 Kiryas Joel-Poughkeepsie-Newburgh, NY ZIPs (bottom 17%)
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.
Park land
63.1%
in the top 1.5% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Transit access
5.9 per 1,000 residents
in the top 3.7% nationally
Higher is healthier
ST96thUS96thDefinition & source ›
The number of public-transit stops 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 ›Housing-cost burden
43.5%
in the top 6.5% nationally
Lower is healthier
ST88thUS94thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Transportation noise
0.05%
in the bottom 7.3% nationally
Lower is healthier
ST7thUS7thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Fatal road crashes
2.3 per 100,000 residents per year
in the bottom 8.0% nationally
Lower is healthier
ST22ndUS8thDefinition & 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 ›Arsenic in groundwater
1.8%
in the bottom 21% nationally
Lower is healthier
ST4thUS21stDefinition & source ›
The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms per liter.
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 ›The read
Greenwood Lake, New York (ZIP 10925), by its composite score, sits in the top 21% healthiest ZIPs nationally (6,814th) and the top 47% of New York (815th).
The data opens on a genuinely even set of readings: park land registers in the top 1.5% nationally, and transit settles in the top 3.7% nationally. Modeled transportation noise sits in the bottom 7.3% nationally, and fatal road crashes lies in the bottom 8.0% nationally. Modeled extreme heat rests at the national minimum, shared with about 19% of ZIPs. Fiber broadband resides in the top 10.4% nationally, and modeled tree cover is in the top 10.9% nationally. Modeled loud transportation noise lands at the national minimum, shared with about 22% of ZIPs. On the other side, housing-cost burden stands in the top 6.5% nationally, and distance to a Superfund site registers in the bottom 10.5% nationally.
Next to the surrounding area, park land runs far higher than the surrounding ZIPs on this measure. For anyone unfamiliar, distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. For a healthier comparison close by, see ZIP 07421, 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 Kiryas Joel-Poughkeepsie-Newburgh, NY metro area.
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 63%
21%
Environmental Hazard
healthier than 81%
14%
Preventive Care
healthier than 81%
13%
Risk Behavior
healthier than 60%
11%
Mental Health
healthier than 82%
8%
Disability
healthier than 69%
7%
About typical
Social Need / SDOH
healthier than 59%
16%
Climate / Disaster Risk
healthier than 46%
5%
Holding it back
Healthcare Access
healthier than 28%
5%
Lifting this score
Environmental Hazard
healthier than 87%
14%
About typical
Social Need / SDOH
healthier than 53%
16%
Preventive Care
healthier than 41%
13%
Risk Behavior
healthier than 50%
11%
Mental Health
healthier than 46%
8%
Holding it back
Chronic Disease Burden
healthier than 39%
21%
Disability
healthier than 40%
7%
Climate / Disaster Risk
healthier than 14%
5%
Healthcare Access
healthier than 24%
5%
Lifting this score
Environmental Hazard
healthier than 97%
14%
Holding it back
Chronic Disease Burden
healthier than 13%
21%
Social Need / SDOH
healthier than 34%
16%
Preventive Care
healthier than 39%
13%
Risk Behavior
healthier than 21%
11%
Mental Health
healthier than 21%
8%
Disability
healthier than 15%
7%
Climate / Disaster Risk
healthier than 8%
5%
Healthcare Access
healthier than 3%
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
07421
New Jerseyshares a border
Score 64.10
Closest healthier
10987
New Yorkshares a border
Score 65.58
Similar health profile
11940
New York98% similar profile
Score 61.07
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 | 28.1% | 25.1–31.2 |
| High blood pressure among adults | 34.3% | 30.8–38.0 |
| Cancer (non-skin) or melanoma among adults | 9.3% | 8.4–10.2 |
| Current asthma among adults | 10.7% | 9.6–12.0 |
| Coronary heart disease among adults | 6.8% | 6.0–7.6 |
| Chronic obstructive pulmonary disease among adults | 7.5% | 6.5–8.6 |
| Depression among adults | 18.9% | 16.2–21.8 |
| Diagnosed diabetes among adults | 11.7% | 10.2–13.4 |
| High cholesterol among adults who have ever been screened | 37.5% | 33.6–41.4 |
| Obesity among adults | 32.3% | 27.1–38.0 |
| Stroke among adults | 3.5% | 3.2–3.9 |
| All teeth lost among adults aged >=65 years | 11.3% | 9.1–13.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.8% | 5.7–8.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.9% | 74.6–80.8 |
| Visits to doctor for routine checkup within the past year among adults | 80.4% | 77.3–83.2 |
| Cholesterol screening among adults | 89.9% | 88.5–91.2 |
| Colorectal cancer screening among adults aged 45–75 years | 69.3% | 64.8–73.6 |
| Visited dentist or dental clinic in the past year among adults | 64.0% | 60.6–67.2 |
| Mammography use among women aged 50-74 years | 78.1% | 71.0–83.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.9% | 12.4–17.6 |
| Current cigarette smoking among adults | 13.6% | 11.5–16.0 |
| No leisure-time physical activity among adults | 25.5% | 21.8–29.7 |
| Short sleep duration among adults | 37.2% | 32.0–42.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.3% | 15.8–21.0 |
| Frequent mental distress among adults | 15.8% | 14.1–17.8 |
| Frequent physical distress among adults | 14.2% | 12.5–16.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.4% | 10.9–14.1 |
| Any disability among adults | 27.3% | 23.8–31.3 |
| Hearing disability among adults | 6.3% | 5.6–7.1 |
| Independent living disability among adults | 7.7% | 6.8–8.8 |
| Mobility disability among adults | 13.6% | 11.7–15.7 |
| Self-care disability among adults | 3.9% | 3.5–4.4 |
| Vision disability among adults | 4.9% | 4.3–5.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.9% | 19.9–26.2 |
| Food insecurity in the past 12 months among adults | 13.8% | 11.6–16.0 |
| Received food stamps in the past 12 months among adults | 12.1% | 10.2–14.1 |
| Housing insecurity in the past 12 months among adults | 12.3% | 10.6–14.1 |
| Lack of reliable transportation in the past 12 months among adults | 7.6% | 6.6–8.6 |
| Loneliness among adults | 29.8% | 25.9–34.1 |
| Utility services shut-off threat in the past 12 months among adults | 7.2% | 6.3–8.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 12.4% | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 12.0% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 5.6% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 38.0% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 5.9% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (0.0–9.7%) n=1,730 |
| Households without a vehicle | 11.0% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 89.9% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 43.5% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 75.1% | 78.7% (51.7–94.0%) n=32,322 | 80.2% (40.9–94.8%) n=1,730 |
| Crowded housing (>1 per room) | 2.3% | 1.3% (0.0–6.3%) n=32,322 | 1.0% (0.0–6.6%) n=1,730 |
| Foreign-born population | 18.8% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 63.2% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 22.0% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 46.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | $80,321 | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | $360,100 | $222,200 ($100,300–$579,820) n=30,049 | $247,700 ($121,180–$801,380) n=1,629 |
| Median gross rent | $1,442 | $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 | 78.6 yr ± 1.63 | 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 1.63 years of 78.6, 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