ZIP code
11561
in Long Beach, New YorkPopulation 38,708
65.01/ 100
Ranked #1,996 of 32,066 US ZIPs (top 6.3%)
Ranked #282 of 1,730 New York ZIPs (top 16%)
Ranked #428 of 853 New York-Newark-Jersey City, NY-NJ ZIPs (bottom 50%)
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.
Floodplain exposure
96.9%
in the top 0.4% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
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 ›Median household income
$141,629
in the top 5.0% nationally
Higher is healthier
ST89thUS95thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Fatal road crashes
1 per 100,000 residents per year
in the bottom 4.6% nationally
Lower is healthier
ST11thUS5thDefinition & 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 ›Tree cover
0.00%
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Cognitive disability
9.4%
in the bottom 3.0% nationally
Lower is healthier
ST11thUS3rdDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Park land
18.5%
in the top 7.5% nationally
Higher is healthier
ST94thUS93rdDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Fiber broadband
96.4%
in the top 8.9% nationally
Higher is healthier
ST90thUS91stDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›Walkability
110 intersections/sq mi
in the top 9.1% nationally
Higher is healthier
ST82ndUS91stDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Colon-cancer screening
73.3%
in the top 6.5% nationally
Higher is healthier
ST84thUS94thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Fair or poor health
13.3%
in the bottom 6.9% nationally
Lower is healthier
ST14thUS7thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›The read
Long Beach, New York (ZIP 11561), overall, ranks in the top 6.3% healthiest ZIPs nationally (1,996th) and the top 16% of New York (282nd).
Taken together, the data gives a genuinely mixed reading: household income settles in the top 5.0% nationally, fatal road crashes is in the bottom 4.6% nationally, and modeled cognitive disability sits in the bottom 3.0% nationally. Park land lands in the top 7.5% nationally, fiber broadband lies in the top 8.9% nationally, and walkability stands in the top 9.1% nationally. Modeled colon screening rests in the top 6.5% nationally. Modeled extreme heat registers at the national minimum, shared with about 19% of ZIPs. On the other side, floodplain exposure resides in the top 0.4% nationally, and modeled tree cover settles at the national minimum.
Measured against the nearby ZIPs, park land runs far higher than the surrounding ZIPs on this measure. Defined simply, floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. ZIP 11509, just across the boundary, comes out 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 84%
21%
Social Need / SDOH
healthier than 87%
16%
Environmental Hazard
healthier than 72%
14%
Preventive Care
healthier than 94%
13%
Risk Behavior
healthier than 72%
11%
Mental Health
healthier than 97%
8%
Disability
healthier than 93%
7%
Healthcare Access
healthier than 66%
5%
Holding it back
Climate / Disaster Risk
healthier than 8%
5%
Lifting this score
Chronic Disease Burden
healthier than 74%
21%
Social Need / SDOH
healthier than 84%
16%
Environmental Hazard
healthier than 74%
14%
Preventive Care
healthier than 76%
13%
Risk Behavior
healthier than 67%
11%
Mental Health
healthier than 87%
8%
Disability
healthier than 82%
7%
About typical
Healthcare Access
healthier than 55%
5%
Holding it back
Climate / Disaster Risk
healthier than 1%
5%
Lifting this score
Environmental Hazard
healthier than 93%
14%
Preventive Care
healthier than 80%
13%
Mental Health
healthier than 64%
8%
About typical
Social Need / SDOH
healthier than 57%
16%
Risk Behavior
healthier than 45%
11%
Disability
healthier than 58%
7%
Holding it back
Chronic Disease Burden
healthier than 38%
21%
Climate / Disaster Risk
healthier than 4%
5%
Healthcare Access
healthier than 36%
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
11509
New Yorkshares a border
Score 69.28
Closest healthier
11569
New Yorkshares a border
Score 65.19
Similar health profile
11702
New York99% similar profile
Score 64.10
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 | 24.3% | 22.2–26.5 |
| High blood pressure among adults | 31.1% | 28.6–33.6 |
| Cancer (non-skin) or melanoma among adults | 9.6% | 8.8–10.4 |
| Current asthma among adults | 9.9% | 8.9–11.0 |
| Coronary heart disease among adults | 5.4% | 4.9–6.0 |
| Chronic obstructive pulmonary disease among adults | 4.9% | 4.3–5.5 |
| Depression among adults | 15.0% | 13.1–17.0 |
| Diagnosed diabetes among adults | 9.1% | 8.0–10.2 |
| High cholesterol among adults who have ever been screened | 39.2% | 36.4–42.0 |
| Obesity among adults | 28.8% | 25.4–32.3 |
| Stroke among adults | 2.8% | 2.5–3.0 |
| All teeth lost among adults aged >=65 years | 6.4% | 5.2–7.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.1% | 4.4–5.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.0% | 77.6–82.1 |
| Visits to doctor for routine checkup within the past year among adults | 82.0% | 79.7–84.0 |
| Cholesterol screening among adults | 91.6% | 90.6–92.6 |
| Colorectal cancer screening among adults aged 45–75 years | 73.3% | 69.9–76.4 |
| Visited dentist or dental clinic in the past year among adults | 70.6% | 67.9–73.0 |
| Mammography use among women aged 50-74 years | 77.1% | 71.6–81.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.6% | 14.5–18.8 |
| Current cigarette smoking among adults | 8.3% | 7.2–9.6 |
| No leisure-time physical activity among adults | 20.9% | 18.5–23.5 |
| Short sleep duration among adults | 39.3% | 35.7–42.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 13.3% | 11.8–14.9 |
| Frequent mental distress among adults | 13.6% | 12.2–15.0 |
| Frequent physical distress among adults | 11.1% | 10.0–12.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 9.4% | 8.4–10.5 |
| Any disability among adults | 23.1% | 20.7–25.6 |
| Hearing disability among adults | 5.5% | 5.0–6.2 |
| Independent living disability among adults | 5.7% | 5.1–6.4 |
| Mobility disability among adults | 10.4% | 9.2–11.7 |
| Self-care disability among adults | 2.7% | 2.4–2.9 |
| Vision disability among adults | 3.5% | 3.2–3.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.3% | 19.6–24.8 |
| Food insecurity in the past 12 months among adults | 9.2% | 8.0–10.5 |
| Received food stamps in the past 12 months among adults | 6.8% | 5.8–7.8 |
| Housing insecurity in the past 12 months among adults | 9.1% | 7.9–10.3 |
| Lack of reliable transportation in the past 12 months among adults | 5.4% | 4.7–6.0 |
| Loneliness among adults | 30.0% | 26.6–33.3 |
| Utility services shut-off threat in the past 12 months among adults | 5.0% | 4.3–5.7 |
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 | 4.0% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 3.7% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 56.8% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 3.7% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (0.0–9.7%) n=1,730 |
| Households without a vehicle | 10.2% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 95.9% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 38.8% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 67.0% | 78.7% (51.7–94.0%) n=32,322 | 80.2% (40.9–94.8%) n=1,730 |
| Crowded housing (>1 per room) | 1.8% | 1.3% (0.0–6.3%) n=32,322 | 1.0% (0.0–6.6%) n=1,730 |
| Foreign-born population | 13.6% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 58.1% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 22.3% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 44.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | $141,629 | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | $715,300 | $222,200 ($100,300–$579,820) n=30,049 | $247,700 ($121,180–$801,380) n=1,629 |
| Median gross rent | $2,582 | $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 | 81.0 yr ± 0.59 | 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 0.59 years of 81.0, 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