ZIP code
10536
in Katonah, New YorkPopulation 10,669
73.34/ 100
Ranked #145 of 32,066 US ZIPs (top 0.5%)
Ranked #29 of 1,730 New York ZIPs (top 1.7%)
Ranked #60 of 853 New York-Newark-Jersey City, NY-NJ ZIPs (top 7.1%)
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.
Median household income
$250,001
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Lack of transportation
3.8%
in the bottom 1.0% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Food insecurity
5.8%
in the bottom 1.1% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Obesity
22.5%
in the bottom 2.5% nationally
Lower is healthier
ST7thUS2ndDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Utility shut-off threat
3.6%
in the bottom 2.0% nationally
Lower is healthier
ST3rdUS2ndDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Cognitive disability
7.9%
in the bottom 0.6% nationally
Lower is healthier
ST3rdUS1stDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Housing insecurity
5.9%
in the bottom 2.4% nationally
Lower is healthier
ST2ndUS2ndDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Loneliness
27%
in the bottom 3.1% nationally
Lower is healthier
ST3rdUS3rdDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Fair or poor health
10.2%
in the bottom 1.0% nationally
Lower is healthier
ST3rdUS1stDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Child-care access
0.83 per 1,000 residents
in the top 3.5% nationally
Higher is healthier
ST97thUS97thDefinition & source ›
The number of child day-care services 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 ›The read
Katonah, New York (ZIP 10536), by its composite score, sits in the top 0.5% healthiest ZIPs nationally (145th) and the top 1.7% of New York (29th).
The measures fall on both sides for this area, fairly evenly: household income rests at the national maximum, and modeled transportation resides in the bottom 1.0% nationally. Modeled food insecurity is in the bottom 1.1% nationally, and obesity lands in the bottom 2.5% nationally. Modeled utility shutoff stands in the bottom 2.0% nationally, cognitive disability registers in the bottom 0.6% nationally, and housing insecurity settles in the bottom 2.4% nationally. Modeled loneliness sits in the bottom 3.1% nationally, modeled fair or poor health lies in the bottom 1.0% nationally, and childcare rests in the top 3.5% nationally.
Next to the surrounding area, park land runs far higher than the surrounding ZIPs on this measure. For a healthier comparison close by, see ZIP 10506, just across the boundary. The area further sits on the healthier half of the national range on at least seven of the ten good-life measures tracked here, from quiet and green space to nearby care, a combination reached by about one in twenty-five US ZIP codes.
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 91%
21%
Social Need / SDOH
healthier than 97%
16%
Preventive Care
healthier than 98%
13%
Risk Behavior
healthier than 97%
11%
Mental Health
healthier than 98%
8%
Disability
healthier than 98%
7%
Climate / Disaster Risk
healthier than 60%
5%
About typical
Environmental Hazard
healthier than 47%
14%
Healthcare Access
healthier than 59%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 88%
21%
Social Need / SDOH
healthier than 97%
16%
Preventive Care
healthier than 96%
13%
Risk Behavior
healthier than 99%
11%
Mental Health
healthier than 91%
8%
Disability
healthier than 93%
7%
About typical
Healthcare Access
healthier than 48%
5%
Holding it back
Environmental Hazard
healthier than 39%
14%
Climate / Disaster Risk
healthier than 24%
5%
Lifting this score
Chronic Disease Burden
healthier than 68%
21%
Social Need / SDOH
healthier than 86%
16%
Environmental Hazard
healthier than 66%
14%
Preventive Care
healthier than 97%
13%
Risk Behavior
healthier than 97%
11%
Mental Health
healthier than 75%
8%
Disability
healthier than 83%
7%
Holding it back
Climate / Disaster Risk
healthier than 39%
5%
Healthcare Access
healthier than 25%
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
10501
New Yorkshares a border
Score 72.50
Closest healthier
10506
New Yorkshares a border
Score 75.74
Similar health profile
06890
Connecticut100% similar profile
Score 74.48
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 | 25.5% | 23.0–27.7 |
| High blood pressure among adults | 28.2% | 25.5–30.7 |
| Cancer (non-skin) or melanoma among adults | 10.5% | 9.6–11.3 |
| Current asthma among adults | 9.1% | 8.1–10.1 |
| Coronary heart disease among adults | 5.3% | 4.6–5.9 |
| Chronic obstructive pulmonary disease among adults | 4.3% | 3.6–5.0 |
| Depression among adults | 16.4% | 14.3–18.4 |
| Diagnosed diabetes among adults | 8.3% | 7.2–9.4 |
| High cholesterol among adults who have ever been screened | 37.8% | 34.9–40.6 |
| Obesity among adults | 22.5% | 19.5–25.5 |
| Stroke among adults | 2.5% | 2.3–2.8 |
| All teeth lost among adults aged >=65 years | 4.5% | 3.6–5.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 3.3% | 2.7–4.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.2% | 75.3–80.8 |
| Visits to doctor for routine checkup within the past year among adults | 82.1% | 79.9–84.1 |
| Cholesterol screening among adults | 93.0% | 92.0–93.9 |
| Colorectal cancer screening among adults aged 45–75 years | 73.0% | 69.5–76.3 |
| Visited dentist or dental clinic in the past year among adults | 78.7% | 76.4–80.8 |
| Mammography use among women aged 50-74 years | 83.2% | 78.4–87.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.1% | 14.0–18.2 |
| Current cigarette smoking among adults | 6.9% | 5.7–8.3 |
| No leisure-time physical activity among adults | 15.5% | 13.2–17.8 |
| Short sleep duration among adults | 30.0% | 26.8–33.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 10.2% | 8.7–11.8 |
| Frequent mental distress among adults | 11.8% | 10.4–13.1 |
| Frequent physical distress among adults | 9.5% | 8.3–10.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 7.9% | 6.9–9.0 |
| Any disability among adults | 18.8% | 16.4–21.2 |
| Hearing disability among adults | 5.1% | 4.4–5.7 |
| Independent living disability among adults | 4.7% | 4.1–5.4 |
| Mobility disability among adults | 8.8% | 7.5–10.2 |
| Self-care disability among adults | 2.3% | 2.0–2.6 |
| Vision disability among adults | 2.8% | 2.5–3.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 17.1% | 14.6–19.4 |
| Food insecurity in the past 12 months among adults | 5.8% | 4.7–6.9 |
| Received food stamps in the past 12 months among adults | 4.3% | 3.5–5.3 |
| Housing insecurity in the past 12 months among adults | 5.9% | 4.9–6.9 |
| Lack of reliable transportation in the past 12 months among adults | 3.8% | 3.3–4.4 |
| Loneliness among adults | 27.0% | 23.5–30.2 |
| Utility services shut-off threat in the past 12 months among adults | 3.6% | 3.1–4.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 8.6% | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 2.6% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 2.0% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 77.2% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 2.7% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (0.0–9.7%) n=1,730 |
| Households without a vehicle | 3.2% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 98.3% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 19.2% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 89.9% | 78.7% (51.7–94.0%) n=32,322 | 80.2% (40.9–94.8%) n=1,730 |
| Crowded housing (>1 per room) | 2.0% | 1.3% (0.0–6.3%) n=32,322 | 1.0% (0.0–6.6%) n=1,730 |
| Foreign-born population | 13.3% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 54.6% | 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 | 44.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | $250,001 | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | $867,500 | $222,200 ($100,300–$579,820) n=30,049 | $247,700 ($121,180–$801,380) n=1,629 |
| Median gross rent | $2,483 | $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 | 85.4 yr ± 1.34 | 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 1.34 years of 85.4, 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