ZIP code
10509
in Brewster, New YorkPopulation 20,046
63.46/ 100
Ranked #2,725 of 32,066 US ZIPs (top 8.5%)
Ranked #365 of 1,730 New York ZIPs (top 21%)
Ranked #498 of 853 New York-Newark-Jersey City, NY-NJ ZIPs (bottom 42%)
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.
Distance to a Superfund site
In this ZIP
at the national minimum
Higher is healthier
ST1stUS1stDefinition & 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 ›PFAS in drinking water
62.6%
in the top 7.0% nationally
Lower is healthier
ST89thUS93rdDefinition & 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 ›Cognitive disability
10.7%
in the bottom 8.4% nationally
Lower is healthier
ST24thUS8thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Hearing disability
5.4%
in the bottom 10.0% nationally
Lower is healthier
ST24thUS10thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Fine-particle (PM2.5) exceedance
0.55%
in the top 14.9% nationally
Lower is healthier
ST99thUS85thDefinition & 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
By the composite health measure, Brewster, New York (ZIP 10509) ranks in the top 8.5% healthiest ZIPs nationally (2,725th) and the top 21% of New York (365th).
A number of measures pull each way for this area: modeled extreme heat settles at the national minimum, shared with about 19% of ZIPs. Modeled obesity resides in the bottom 11.4% nationally, and dental providers registers in the top 10.4% nationally. Modeled cognitive disability rests in the bottom 8.4% nationally, and hearing disability stands in the bottom 10.0% nationally. Distance to a community health center lies at the national minimum, shared with about 23% of ZIPs. Physicians lands in the top 12.3% nationally, and household income sits in the top 10.7% nationally. Set against that, distance to a Superfund site is at the national minimum, and modeled pfas settles in the top 7.0% nationally.
Read against the ZIPs closest to it, park land runs far lower than the surrounding ZIPs on this measure. To spell things out, distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. 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. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. Close by, ZIP 10512, 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 New York-Newark-Jersey City, NY-NJ 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 83%
21%
Social Need / SDOH
healthier than 83%
16%
Preventive Care
healthier than 88%
13%
Risk Behavior
healthier than 71%
11%
Mental Health
healthier than 92%
8%
Disability
healthier than 88%
7%
Healthcare Access
healthier than 93%
5%
About typical
Climate / Disaster Risk
healthier than 57%
5%
Holding it back
Environmental Hazard
healthier than 23%
14%
Lifting this score
Chronic Disease Burden
healthier than 71%
21%
Social Need / SDOH
healthier than 79%
16%
Risk Behavior
healthier than 66%
11%
Mental Health
healthier than 70%
8%
Disability
healthier than 71%
7%
Healthcare Access
healthier than 94%
5%
About typical
Preventive Care
healthier than 55%
13%
Holding it back
Environmental Hazard
healthier than 13%
14%
Climate / Disaster Risk
healthier than 21%
5%
Lifting this score
Preventive Care
healthier than 64%
13%
Healthcare Access
healthier than 92%
5%
About typical
Social Need / SDOH
healthier than 50%
16%
Risk Behavior
healthier than 43%
11%
Disability
healthier than 44%
7%
Holding it back
Chronic Disease Burden
healthier than 35%
21%
Environmental Hazard
healthier than 32%
14%
Mental Health
healthier than 30%
8%
Climate / Disaster Risk
healthier than 35%
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.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 22.8; chronic-disease standing 82.6 — 60 points apart, heavier on the environment than it is on chronic illness.
Ranked #15,387 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
06810
Connecticutshares a border
Score 53.12
Closest healthier
10512
New Yorkshares a border
Score 63.52
Similar health profile
10920
New York99% similar profile
Score 67.69
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 | 25.3% | 22.4–28.5 |
| High blood pressure among adults | 30.0% | 26.5–34.0 |
| Cancer (non-skin) or melanoma among adults | 9.0% | 8.2–9.9 |
| Current asthma among adults | 10.1% | 9.0–11.3 |
| Coronary heart disease among adults | 5.6% | 5.0–6.3 |
| Chronic obstructive pulmonary disease among adults | 5.4% | 4.7–6.1 |
| Depression among adults | 17.8% | 15.1–20.9 |
| Diagnosed diabetes among adults | 9.7% | 8.4–11.1 |
| High cholesterol among adults who have ever been screened | 37.5% | 33.4–41.8 |
| Obesity among adults | 28.0% | 22.1–34.9 |
| Stroke among adults | 2.9% | 2.6–3.1 |
| All teeth lost among adults aged >=65 years | 9.0% | 7.2–10.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.3% | 6.2–8.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.4% | 74.4–80.2 |
| Visits to doctor for routine checkup within the past year among adults | 80.4% | 77.1–83.4 |
| Cholesterol screening among adults | 90.5% | 89.2–91.6 |
| Colorectal cancer screening among adults aged 45–75 years | 70.9% | 66.4–75.1 |
| Visited dentist or dental clinic in the past year among adults | 69.7% | 66.5–72.7 |
| Mammography use among women aged 50-74 years | 79.6% | 73.0–85.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.4% | 14.5–20.7 |
| Current cigarette smoking among adults | 10.0% | 8.6–11.6 |
| No leisure-time physical activity among adults | 22.2% | 18.8–26.2 |
| Short sleep duration among adults | 35.6% | 29.8–41.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 14.8% | 13.0–17.0 |
| Frequent mental distress among adults | 14.0% | 12.4–15.7 |
| Frequent physical distress among adults | 11.9% | 10.5–13.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 10.7% | 9.4–12.0 |
| Any disability among adults | 23.2% | 20.1–26.8 |
| Hearing disability among adults | 5.4% | 4.8–6.1 |
| Independent living disability among adults | 6.3% | 5.6–7.0 |
| Mobility disability among adults | 11.0% | 9.5–12.6 |
| Self-care disability among adults | 3.0% | 2.7–3.3 |
| Vision disability among adults | 4.0% | 3.6–4.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.9% | 18.7–25.5 |
| Food insecurity in the past 12 months among adults | 11.6% | 9.9–13.6 |
| Received food stamps in the past 12 months among adults | 8.8% | 7.5–10.3 |
| Housing insecurity in the past 12 months among adults | 10.8% | 9.3–12.5 |
| Lack of reliable transportation in the past 12 months among adults | 6.3% | 5.5–7.2 |
| Loneliness among adults | 31.2% | 26.4–36.3 |
| Utility services shut-off threat in the past 12 months among adults | 6.0% | 5.1–6.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 7.8% | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 7.7% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 9.3% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 43.4% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 4.5% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (0.0–9.7%) n=1,730 |
| Households without a vehicle | 4.9% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 94.5% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 36.4% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 78.8% | 78.7% (51.7–94.0%) n=32,322 | 80.2% (40.9–94.8%) n=1,730 |
| Crowded housing (>1 per room) | 2.9% | 1.3% (0.0–6.3%) n=32,322 | 1.0% (0.0–6.6%) n=1,730 |
| Foreign-born population | 19.6% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 49.2% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 19.8% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 43.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | $116,831 | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | $458,300 | $222,200 ($100,300–$579,820) n=30,049 | $247,700 ($121,180–$801,380) n=1,629 |
| Median gross rent | $1,784 | $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 | 80.9 yr ± 0.68 | 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 0.68 years of 80.9, 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