ZIP code
10075
in New York, New YorkPopulation 21,897
70.73/ 100
Ranked #464 of 32,066 US ZIPs (top 1.5%)
Ranked #78 of 1,730 New York ZIPs (top 4.6%)
Ranked #162 of 853 New York-Newark-Jersey City, NY-NJ ZIPs (top 19%)
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.
Obesity
16.2%
in the bottom 0.2% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Households without a vehicle
70.2%
in the top 0.6% nationally
Lower is healthier
ST97thUS99thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Physician access
6.8 per 1,000 residents
in the top 0.6% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of physicians’ offices located 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 ›Binge drinking
22.4%
in the top 1.5% nationally
Lower is healthier
ST97thUS99thDefinition & source ›
The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.
Full methodology ›Median household income
$155,902
in the top 3.3% nationally
Higher is healthier
ST93rdUS97thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Walkability
230 intersections/sq mi
in the top 1.8% nationally
Higher is healthier
ST96thUS98thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Energy-cost burden
0.75%
in the bottom 0.4% nationally
Lower is healthier
ST2ndUS1stDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›Cognitive disability
8.2%
in the bottom 0.9% nationally
Lower is healthier
ST4thUS1stDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Utility shut-off threat
3.8%
in the bottom 2.8% nationally
Lower is healthier
ST4thUS3rdDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Lead in tap water
10 ppb
in the top 2.9% nationally
Lower is healthier
US97thDefinition & source ›
The lead level at the 90th percentile of tap-water samples reported by the public water systems serving this ZIP, in parts per billion — the EPA requires action above 15 ppb.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›The read
By the composite measure, ZIP 10075, one of several in New York, New York sits in the top 1.5% healthiest ZIPs nationally (464th) and the top 4.6% of New York (78th).
The readings split fairly evenly between strengths and concerns: modeled obesity lies in the bottom 0.2% nationally, physicians settles in the top 0.6% nationally, and household income stands in the top 3.3% nationally. Walkability is in the top 1.8% nationally, modeled energy burden rests in the bottom 0.4% nationally, and modeled cognitive disability sits in the bottom 0.9% nationally. Modeled utility shutoff registers in the bottom 2.8% nationally. Working the other way, households without a vehicle lands in the top 0.6% nationally, and modeled binge drinking resides in the top 1.5% nationally. Lead in tap water lies in the top 2.9% nationally.
Compared with the ZIPs that surround it, park land runs far lower than the surrounding ZIPs on this measure. In plain language, lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Energy burden is the share of household income that goes to home energy bills. ZIP 10021, 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 96%
21%
Social Need / SDOH
healthier than 95%
16%
Preventive Care
healthier than 96%
13%
Risk Behavior
healthier than 87%
11%
Mental Health
healthier than 91%
8%
Disability
healthier than 98%
7%
Climate / Disaster Risk
healthier than 86%
5%
Healthcare Access
healthier than 84%
5%
Holding it back
Environmental Hazard
healthier than 13%
14%
Lifting this score
Chronic Disease Burden
healthier than 94%
21%
Social Need / SDOH
healthier than 93%
16%
Preventive Care
healthier than 86%
13%
Risk Behavior
healthier than 89%
11%
Mental Health
healthier than 65%
8%
Disability
healthier than 95%
7%
Climate / Disaster Risk
healthier than 65%
5%
Healthcare Access
healthier than 79%
5%
Holding it back
Environmental Hazard
healthier than 4%
14%
Lifting this score
Chronic Disease Burden
healthier than 89%
21%
Social Need / SDOH
healthier than 74%
16%
Preventive Care
healthier than 89%
13%
Risk Behavior
healthier than 72%
11%
Disability
healthier than 88%
7%
Climate / Disaster Risk
healthier than 79%
5%
Healthcare Access
healthier than 73%
5%
Holding it back
Environmental Hazard
healthier than 15%
14%
Mental Health
healthier than 23%
8%
“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
4 of our published findings list 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.
Above what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 85.4 ± 1.6 years. A median household income of $155,902 predicts 81.8 years — 3.6 years above.
Ranked #260 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Above its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 85.4 ± 1.6 years. The 43 nearest ZIP codes with estimates average 82.1 years — 3.3 years above them.
Ranked #647 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 12.7; chronic-disease standing 96.0 (top 10%) — 83 points apart, heavier on the environment than it is on chronic illness.
Ranked #17,433 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Highest-risk tenth
Air toxics and the years between the two ends of the risk scale
Modeled air-toxics cancer risk is 40.0 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 85.4 ± 1.6 years.
Ranked #504 of the 4,173 ZIP codes this finding names, ordered by modeled air-toxics risk, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
10021
New Yorkshares a border
Score 72.47
Closest healthier
10028
New Yorkshares a border
Score 73.25
Similar health profile
12211
New York99% similar profile
Score 66.39
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 | 21.4% | 19.8–23.3 |
| High blood pressure among adults | 24.9% | 23.2–27.0 |
| Cancer (non-skin) or melanoma among adults | 9.8% | 9.1–10.7 |
| Current asthma among adults | 9.5% | 8.7–10.5 |
| Coronary heart disease among adults | 4.5% | 4.0–5.0 |
| Chronic obstructive pulmonary disease among adults | 3.6% | 3.2–4.0 |
| Depression among adults | 19.8% | 18.1–21.9 |
| Diagnosed diabetes among adults | 6.4% | 5.8–7.3 |
| High cholesterol among adults who have ever been screened | 37.0% | 34.9–39.6 |
| Obesity among adults | 16.2% | 14.4–18.5 |
| Stroke among adults | 2.2% | 2.1–2.4 |
| All teeth lost among adults aged >=65 years | 4.2% | 3.4–5.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 3.4% | 2.9–3.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.7% | 73.6–78.2 |
| Visits to doctor for routine checkup within the past year among adults | 80.9% | 79.1–83.0 |
| Cholesterol screening among adults | 91.6% | 90.7–92.5 |
| Colorectal cancer screening among adults aged 45–75 years | 74.3% | 71.2–77.0 |
| Visited dentist or dental clinic in the past year among adults | 75.5% | 73.2–77.6 |
| Mammography use among women aged 50-74 years | 81.4% | 76.9–85.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 22.4% | 20.5–24.8 |
| Current cigarette smoking among adults | 5.7% | 5.0–6.6 |
| No leisure-time physical activity among adults | 14.1% | 12.6–15.9 |
| Short sleep duration among adults | 30.4% | 27.7–33.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 10.0% | 9.1–11.2 |
| Frequent mental distress among adults | 13.1% | 12.0–14.4 |
| Frequent physical distress among adults | 9.1% | 8.3–10.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 8.2% | 7.4–9.1 |
| Any disability among adults | 19.5% | 17.8–21.5 |
| Hearing disability among adults | 4.6% | 4.1–5.2 |
| Independent living disability among adults | 4.9% | 4.4–5.4 |
| Mobility disability among adults | 8.5% | 7.6–9.5 |
| Self-care disability among adults | 2.0% | 1.8–2.2 |
| Vision disability among adults | 2.7% | 2.5–2.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.1% | 18.8–23.5 |
| Food insecurity in the past 12 months among adults | 7.0% | 6.0–8.1 |
| Received food stamps in the past 12 months among adults | 5.3% | 4.5–6.3 |
| Housing insecurity in the past 12 months among adults | 6.8% | 5.9–7.9 |
| Lack of reliable transportation in the past 12 months among adults | 4.4% | 3.9–5.0 |
| Loneliness among adults | 34.7% | 31.7–38.0 |
| Utility services shut-off threat in the past 12 months among adults | 3.8% | 3.3–4.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 14.7% | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 2.1% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 1.0% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 87.6% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 3.8% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (0.0–9.7%) n=1,730 |
| Households without a vehicle | 70.2% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 96.9% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 37.2% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 45.1% | 78.7% (51.7–94.0%) n=32,322 | 80.2% (40.9–94.8%) n=1,730 |
| Crowded housing (>1 per room) | 4.6% | 1.3% (0.0–6.3%) n=32,322 | 1.0% (0.0–6.6%) n=1,730 |
| Foreign-born population | 22.0% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 57.4% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 24.3% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 40.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | $155,902 | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | $991,900 | $222,200 ($100,300–$579,820) n=30,049 | $247,700 ($121,180–$801,380) n=1,629 |
| Median gross rent | $2,658 | $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 ± 0.83 | 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 0.83 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