ZIP code
10017
in New York, New YorkPopulation 15,297
73.77/ 100
Ranked #110 of 32,066 US ZIPs (top 0.4%)
Ranked #23 of 1,730 New York ZIPs (top 1.4%)
Ranked #46 of 853 New York-Newark-Jersey City, NY-NJ ZIPs (top 5.4%)
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
14.9%
in the bottom 0.06% 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 ›Dental provider access
4.3 per 1,000 residents
in the top 0.2% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of dental 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 ›Civic-institution access
4 per 1,000 residents
in the top 0.3% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of civic and social organizations 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 ›Outpatient-care access
2.1 per 1,000 residents
in the top 0.3% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of outpatient clinics 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 ›Households without a vehicle
81.3%
in the top 0.3% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Physician access
8.7 per 1,000 residents
in the top 0.4% 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
23.1%
in the top 1.2% nationally
Lower is healthier
ST98thUS99thDefinition & 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 ›Pharmacy access
1.3 per 1,000 residents
in the top 0.6% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of pharmacies 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 ›Walkability
300 intersections/sq mi
in the top 0.7% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Mental-health provider access
0.46 per 1,000 residents
in the top 1.0% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of mental-health clinics 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 ›The read
On the composite measure, ZIP 10017, one of several in New York, New York stands in the top 0.4% healthiest ZIPs nationally (110th) and the top 1.4% of New York (23rd).
Several signals sit on each side of the ledger here: modeled obesity resides in the bottom 0.06% nationally, and dental providers stands in the top 0.2% nationally. Civic sits in the top 0.3% nationally, and outpatient resides in the top 0.3% nationally. Physicians stands in the top 0.4% nationally, pharmacy sits in the top 0.6% nationally, and walkability resides in the top 0.7% nationally. Mental-health providers stands in the top 1.0% nationally. Working the other way, households without a vehicle sits in the top 0.3% nationally, and modeled binge drinking resides in the top 1.2% nationally.
Set beside the wider area around it, walkability runs far higher than the surrounding ZIPs on this measure. ZIP 11109, about 0.5 miles away, 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. 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 98%
21%
Social Need / SDOH
healthier than 98%
16%
Preventive Care
healthier than 92%
13%
Risk Behavior
healthier than 85%
11%
Mental Health
healthier than 94%
8%
Disability
in the top 0.4%
7%
Climate / Disaster Risk
healthier than 83%
5%
Healthcare Access
healthier than 86%
5%
Holding it back
Environmental Hazard
healthier than 14%
14%
Lifting this score
Chronic Disease Burden
healthier than 97%
21%
Social Need / SDOH
healthier than 99%
16%
Preventive Care
healthier than 70%
13%
Risk Behavior
healthier than 85%
11%
Mental Health
healthier than 76%
8%
Disability
healthier than 99%
7%
Healthcare Access
healthier than 82%
5%
About typical
Climate / Disaster Risk
healthier than 57%
5%
Holding it back
Environmental Hazard
healthier than 5%
14%
Lifting this score
Chronic Disease Burden
healthier than 97%
21%
Social Need / SDOH
healthier than 92%
16%
Preventive Care
healthier than 75%
13%
Risk Behavior
healthier than 67%
11%
Disability
healthier than 97%
7%
Climate / Disaster Risk
healthier than 74%
5%
Healthcare Access
healthier than 77%
5%
About typical
Mental Health
healthier than 40%
8%
Holding it back
Environmental Hazard
healthier than 17%
14%
“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
3 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 86.2 ± 3.9 years. A median household income of $136,705 predicts 81.3 years — 4.8 years above.
Ranked #72 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 13.9; chronic-disease standing 98.3 (top 10%) — 84 points apart, heavier on the environment than it is on chronic illness.
Ranked #17,517 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 86.2 ± 3.9 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
10016
New Yorkshares a border
Score 73.22
Closest healthier
11109
New Yorkabout 0.5 mi away
Score 74.66
Similar health profile
10279
New York100% similar profile
Score 75.80
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 | 17.0% | 15.7–18.7 |
| High blood pressure among adults | 21.7% | 20.2–23.7 |
| Cancer (non-skin) or melanoma among adults | 7.4% | 6.8–8.0 |
| Current asthma among adults | 8.8% | 8.1–9.8 |
| Coronary heart disease among adults | 3.6% | 3.3–4.0 |
| Chronic obstructive pulmonary disease among adults | 2.9% | 2.5–3.4 |
| Depression among adults | 18.4% | 16.8–20.5 |
| Diagnosed diabetes among adults | 5.9% | 5.3–6.8 |
| High cholesterol among adults who have ever been screened | 34.2% | 32.3–36.7 |
| Obesity among adults | 14.9% | 13.2–17.1 |
| Stroke among adults | 1.8% | 1.7–2.0 |
| All teeth lost among adults aged >=65 years | 4.0% | 3.3–4.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 3.6% | 2.9–4.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 72.3% | 70.1–74.8 |
| Visits to doctor for routine checkup within the past year among adults | 78.9% | 76.9–81.1 |
| Cholesterol screening among adults | 90.2% | 88.9–91.4 |
| Colorectal cancer screening among adults aged 45–75 years | 73.7% | 70.8–76.5 |
| Visited dentist or dental clinic in the past year among adults | 75.2% | 73.0–77.3 |
| Mammography use among women aged 50-74 years | 81.4% | 77.1–85.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 23.1% | 21.1–25.5 |
| Current cigarette smoking among adults | 5.2% | 4.3–6.3 |
| No leisure-time physical activity among adults | 13.7% | 12.1–15.7 |
| Short sleep duration among adults | 31.0% | 28.2–34.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 9.4% | 8.3–10.8 |
| Frequent mental distress among adults | 12.8% | 11.7–14.4 |
| Frequent physical distress among adults | 8.1% | 7.3–9.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 8.0% | 7.0–9.2 |
| Any disability among adults | 17.5% | 15.7–19.6 |
| Hearing disability among adults | 3.7% | 3.4–4.2 |
| Independent living disability among adults | 4.4% | 3.8–5.1 |
| Mobility disability among adults | 7.0% | 6.2–8.0 |
| Self-care disability among adults | 1.7% | 1.6–2.0 |
| Vision disability among adults | 2.5% | 2.3–2.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.2% | 20.6–25.8 |
| Food insecurity in the past 12 months among adults | 7.5% | 6.1–9.2 |
| Received food stamps in the past 12 months among adults | 5.1% | 4.0–6.5 |
| Housing insecurity in the past 12 months among adults | 7.1% | 5.9–8.3 |
| Lack of reliable transportation in the past 12 months among adults | 4.6% | 3.9–5.4 |
| Loneliness among adults | 36.4% | 33.0–39.6 |
| Utility services shut-off threat in the past 12 months among adults | 3.7% | 3.2–4.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 10.0% | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 3.8% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 1.7% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 86.2% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 5.1% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (0.0–9.7%) n=1,730 |
| Households without a vehicle | 81.3% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 97.8% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 50.3% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 31.8% | 78.7% (51.7–94.0%) n=32,322 | 80.2% (40.9–94.8%) n=1,730 |
| Crowded housing (>1 per room) | 4.5% | 1.3% (0.0–6.3%) n=32,322 | 1.0% (0.0–6.6%) n=1,730 |
| Foreign-born population | 31.5% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 71.3% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 24.8% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 40.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | $136,705 | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | $756,600 | $222,200 ($100,300–$579,820) n=30,049 | $247,700 ($121,180–$801,380) n=1,629 |
| Median gross rent | $2,925 | $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 | 86.1 yr ± 2.00 | 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 2.00 years of 86.1, 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