ZIP code
10303
in Staten Island, New YorkPopulation 26,497
53.74/ 100
Ranked #11,042 of 32,066 US ZIPs (top 34%)
Ranked #1,158 of 1,730 New York ZIPs (bottom 33%)
Ranked #751 of 853 New York-Newark-Jersey City, NY-NJ ZIPs (bottom 12.0%)
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.
Short sleep
48%
in the top 0.9% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Subsidized affordable housing
1,194 units
in the top 1.0% nationally
Higher is healthier
ST97thUS99thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Outer-floodplain exposure
15.4%
in the top 2.6% nationally
Lower is healthier
ST98thUS97thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 0.2%-annual-chance flood band — the “500-year” zone, a lower but real 1-in-500 yearly chance.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
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 ›Households without a vehicle
25.7%
in the top 3.1% nationally
Lower is healthier
ST89thUS97thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Hearing disability
4.3%
in the bottom 2.8% nationally
Lower is healthier
ST6thUS3rdDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Distance to a Superfund site
0.2 mi
in the bottom 4.5% nationally
Higher is healthier
ST5thUS4thDefinition & 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 ›Housing insecurity
22.9%
in the top 5.7% nationally
Lower is healthier
ST95thUS94thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Fatal road crashes
1.9 per 100,000 residents per year
in the bottom 6.5% nationally
Lower is healthier
ST17thUS6thDefinition & 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 ›Industrial-pollution burden
in the top 7.2% nationally
Lower is healthier
ST99thUS93rdDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›The read
ZIP 10303, one of several in Staten Island, New York, by its composite score, sits in the top 34% healthiest ZIPs nationally (11,042nd) and the bottom 33% of New York (1,158th).
The measures land in both directions, and neither dominates: subsidized affordable housing rests in the top 1.0% nationally, and modeled hearing disability resides in the bottom 2.8% nationally. Fatal road crashes is in the bottom 6.5% nationally. Pulling the other way, modeled short sleep lands in the top 0.9% nationally, outer-floodplain exposure stands in the top 2.6% nationally, and lead in tap water registers in the top 2.9% nationally. Households without a vehicle settles in the top 3.1% nationally, distance to a Superfund site sits in the bottom 4.5% nationally, and modeled housing insecurity lies in the top 5.7% nationally. Modeled industrial-pollution burden rests in the top 7.2% nationally.
Next to the surrounding area, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. For anyone unfamiliar, lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. For a healthier comparison close by, see ZIP 10314, 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 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 75%
21%
Mental Health
healthier than 92%
8%
Healthcare Access
healthier than 79%
5%
About typical
Environmental Hazard
healthier than 41%
14%
Disability
healthier than 55%
7%
Climate / Disaster Risk
healthier than 48%
5%
Holding it back
Social Need / SDOH
healthier than 21%
16%
Preventive Care
healthier than 36%
13%
Risk Behavior
healthier than 17%
11%
Lifting this score
Mental Health
healthier than 69%
8%
Healthcare Access
healthier than 72%
5%
About typical
Chronic Disease Burden
healthier than 55%
21%
Holding it back
Social Need / SDOH
healthier than 19%
16%
Environmental Hazard
healthier than 32%
14%
Preventive Care
healthier than 11%
13%
Risk Behavior
healthier than 11%
11%
Disability
healthier than 24%
7%
Climate / Disaster Risk
healthier than 16%
5%
Lifting this score
Healthcare Access
healthier than 63%
5%
About typical
Environmental Hazard
healthier than 59%
14%
Holding it back
Chronic Disease Burden
healthier than 17%
21%
Social Need / SDOH
healthier than 16%
16%
Preventive Care
healthier than 16%
13%
Risk Behavior
healthier than 8%
11%
Mental Health
healthier than 28%
8%
Disability
healthier than 14%
7%
Climate / Disaster Risk
healthier than 29%
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
2 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.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 76.7 ± 1.3 years. A median household income of $83,947 predicts 79.4 years — 2.6 years below.
Ranked #3,647 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Below its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 76.7 ± 1.3 years. The 48 nearest ZIP codes with estimates average 79.2 years — 2.4 years below them.
Ranked #1,882 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
10302
New Yorkshares a border
Score 53.63
Closest healthier
10314
New Yorkshares a border
Score 59.67
Similar health profile
10993
New York98% similar profile
Score 53.94
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 | 21.2% | 19.2–23.2 |
| High blood pressure among adults | 34.2% | 31.5–37.0 |
| Cancer (non-skin) or melanoma among adults | 4.8% | 4.3–5.2 |
| Current asthma among adults | 11.1% | 10.0–12.3 |
| Coronary heart disease among adults | 5.0% | 4.5–5.5 |
| Chronic obstructive pulmonary disease among adults | 5.6% | 5.0–6.2 |
| Depression among adults | 14.5% | 12.7–16.5 |
| Diagnosed diabetes among adults | 13.3% | 11.8–14.8 |
| High cholesterol among adults who have ever been screened | 37.5% | 34.7–40.4 |
| Obesity among adults | 35.5% | 31.6–39.6 |
| Stroke among adults | 3.3% | 3.0–3.5 |
| All teeth lost among adults aged >=65 years | 15.6% | 13.2–18.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 11.6% | 10.1–13.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 74.8% | 72.2–77.2 |
| Visits to doctor for routine checkup within the past year among adults | 81.0% | 78.3–83.4 |
| Cholesterol screening among adults | 87.7% | 86.1–89.1 |
| Colorectal cancer screening among adults aged 45–75 years | 61.6% | 57.8–65.4 |
| Visited dentist or dental clinic in the past year among adults | 54.3% | 51.3–57.3 |
| Mammography use among women aged 50-74 years | 75.5% | 70.0–80.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.3% | 11.3–15.4 |
| Current cigarette smoking among adults | 13.7% | 12.0–15.3 |
| No leisure-time physical activity among adults | 31.3% | 28.0–34.7 |
| Short sleep duration among adults | 48.0% | 44.0–51.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 22.5% | 20.3–24.8 |
| Frequent mental distress among adults | 16.5% | 14.9–18.3 |
| Frequent physical distress among adults | 13.8% | 12.3–15.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.3% | 12.8–15.8 |
| Any disability among adults | 29.2% | 26.2–32.3 |
| Hearing disability among adults | 4.3% | 3.9–4.8 |
| Independent living disability among adults | 8.9% | 8.0–9.8 |
| Mobility disability among adults | 14.3% | 12.9–16.0 |
| Self-care disability among adults | 4.7% | 4.3–5.1 |
| Vision disability among adults | 6.8% | 6.2–7.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 32.9% | 29.6–36.6 |
| Food insecurity in the past 12 months among adults | 26.4% | 23.6–29.3 |
| Received food stamps in the past 12 months among adults | 22.9% | 20.6–25.3 |
| Housing insecurity in the past 12 months among adults | 22.9% | 20.5–25.4 |
| Lack of reliable transportation in the past 12 months among adults | 13.0% | 11.6–14.5 |
| Loneliness among adults | 38.0% | 34.2–42.1 |
| Utility services shut-off threat in the past 12 months among adults | 13.2% | 11.7–14.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 17.9% | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 9.5% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 15.6% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 28.5% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 9.6% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (0.0–9.7%) n=1,730 |
| Households without a vehicle | 25.7% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 90.8% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 40.4% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 65.2% | 78.7% (51.7–94.0%) n=32,322 | 80.2% (40.9–94.8%) n=1,730 |
| Crowded housing (>1 per room) | 7.2% | 1.3% (0.0–6.3%) n=32,322 | 1.0% (0.0–6.6%) n=1,730 |
| Foreign-born population | 28.6% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 32.6% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 13.3% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 39.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | $83,947 | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | $486,400 | $222,200 ($100,300–$579,820) n=30,049 | $247,700 ($121,180–$801,380) n=1,629 |
| Median gross rent | $1,596 | $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 | 76.7 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 76.7, 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