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ZipVitals

ZIP code

10459

in Bronx, New YorkPopulation 48,270

42.51/ 100

Ranked #24,816 of 32,066 US ZIPs (bottom 23%)

Ranked #1,683 of 1,730 New York ZIPs (bottom 2.8%)

Ranked #832 of 853 New York-Newark-Jersey City, NY-NJ ZIPs (bottom 2.5%)

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Robust across all 9 health domains

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.

Subsidized affordable housing

6,434 units

in the top 0.01% nationally

Higher is healthier

ST99th
US99th
Definition & source ›

The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.

Full methodology ›

Vision disability

12.5%

in the top 1.7% nationally

Lower is healthier

ST99th
US98th
Definition & source ›

The estimated share of adults who are blind or have serious difficulty seeing even with glasses.

Full methodology ›

Housing insecurity

37.5%

in the top 0.2% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The estimated share of adults who experienced housing insecurity in the past 12 months.

Full methodology ›

Households without a vehicle

69.8%

in the top 0.6% nationally

Lower is healthier

ST97th
US99th
Definition & source ›

The share of households with no vehicle available.

Full methodology ›

Food insecurity

45.8%

in the top 0.7% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The estimated share of adults who experienced food insecurity in the past 12 months.

Full methodology ›

Self-care disability

8.1%

in the top 2.6% nationally

Lower is healthier

ST99th
US97th
Definition & source ›

The estimated share of adults with difficulty dressing or bathing.

Full methodology ›

Fair or poor health

34.5%

in the top 3.0% nationally

Lower is healthier

ST99th
US97th
Definition & source ›

The estimated share of adults who rate their own general health as fair or poor.

Full methodology ›

Homeownership rate

10.3%

in the bottom 1.4% nationally

Higher is healthier

ST2nd
US1st
Definition & source ›

The share of occupied homes that are owned, rather than rented, by the people living in them.

Full methodology ›

Walkability

240 intersections/sq mi

in the top 1.5% nationally

Higher is healthier

ST97th
US99th
Definition & source ›

The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.

Full methodology ›

Housing-cost burden

57.5%

in the top 1.5% nationally

Lower is healthier

ST98th
US99th
Definition & source ›

The share of households spending 30% or more of their income on housing.

Full methodology ›

The read

By the composite health measure, ZIP 10459, one of several in Bronx, New York ranks in the bottom 23% nationally (24,816th) and the bottom 2.8% of New York (1,683rd).

continue reading

Where the load on this area runs deepest, the data leads: modeled vision disability registers in the top 1.7% nationally, and housing insecurity rests in the top 0.2% nationally. Households without a vehicle stands in the top 0.6% nationally, and modeled food insecurity lies in the top 0.7% nationally. Modeled self-care disability lands in the top 2.6% nationally, modeled fair or poor health sits in the top 3.0% nationally, and homeownership is in the bottom 1.4% nationally. Housing-cost burden settles in the top 1.5% nationally. More encouragingly, subsidized affordable housing resides in the top 0.01% nationally, and walkability registers in the top 1.5% nationally.

Read against the ZIPs closest to it, subsidized affordable housing runs far higher than the surrounding ZIPs on this measure. To spell things out, subsidized affordable housing is the main federal tax-credit program (HUD) funding affordable rental housing, counted as local units it supports. Close by, ZIP 10473, 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.

Compare within

Lifting this score

Mental Health

healthier than 75%

8%

Climate / Disaster Risk

healthier than 82%

5%

Healthcare Access

healthier than 93%

5%

About typical

Chronic Disease Burden

healthier than 53%

21%

Holding it back

Social Need / SDOH

healthier than 9%

16%

Environmental Hazard

healthier than 14%

14%

Preventive Care

healthier than 13%

13%

Risk Behavior

healthier than 5%

11%

Disability

healthier than 6%

7%

Lifting this score

Healthcare Access

healthier than 94%

5%

About typical

Climate / Disaster Risk

healthier than 54%

5%

Holding it back

Chronic Disease Burden

healthier than 28%

21%

Social Need / SDOH

healthier than 9%

16%

Environmental Hazard

healthier than 5%

14%

Preventive Care

healthier than 3%

13%

Risk Behavior

healthier than 3%

11%

Mental Health

healthier than 34%

8%

Disability

healthier than 1%

7%

Lifting this score

Climate / Disaster Risk

healthier than 72%

5%

Healthcare Access

healthier than 93%

5%

Holding it back

Chronic Disease Burden

healthier than 4%

21%

Social Need / SDOH

healthier than 9%

16%

Environmental Hazard

healthier than 19%

14%

Preventive Care

healthier than 7%

13%

Risk Behavior

healthier than 3%

11%

Mental Health

healthier than 5%

8%

Disability

healthier than 1%

7%

“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 its nearby ZIPs

    The ZIP codes that outlive their neighbors

    Estimated life expectancy is 77.3 ± 1.3 years. The 49 nearest ZIP codes with estimates average 80.2 years — 2.9 years below them.

    Ranked #2,288 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, 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 77.3 ± 1.3 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.

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
MeasureCrude prevalence95% CI
Arthritis among adults21.6%19.7–23.5
High blood pressure among adults35.3%32.9–37.7
Cancer (non-skin) or melanoma among adults4.1%3.7–4.5
Current asthma among adults12.2%11.0–13.5
Coronary heart disease among adults6.8%6.2–7.4
Chronic obstructive pulmonary disease among adults7.1%6.5–7.8
Depression among adults16.9%15.0–18.9
Diagnosed diabetes among adults16.7%15.1–18.3
High cholesterol among adults who have ever been screened36.1%33.6–38.6
Obesity among adults36.4%32.8–40.0
Stroke among adults4.4%4.1–4.7
All teeth lost among adults aged >=65 years20.6%17.3–23.7
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years19.8%17.7–22.0
Taking medicine to control high blood pressure among adults with high blood pressure73.4%70.9–75.7
Visits to doctor for routine checkup within the past year among adults80.0%77.7–82.2
Cholesterol screening among adults84.3%82.7–85.9
Colorectal cancer screening among adults aged 45–75 years58.9%54.8–62.5
Visited dentist or dental clinic in the past year among adults46.7%43.7–49.5
Mammography use among women aged 50-74 years76.6%70.7–81.4
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults14.3%12.5–16.3
Current cigarette smoking among adults15.2%13.6–16.9
No leisure-time physical activity among adults42.4%39.2–45.5
Short sleep duration among adults44.6%40.9–48.1
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults34.5%32.0–37.0
Frequent mental distress among adults18.4%16.7–20.0
Frequent physical distress among adults18.6%16.9–20.2
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults19.4%17.7–21.1
Any disability among adults39.6%36.6–42.5
Hearing disability among adults5.9%5.2–6.5
Independent living disability among adults13.4%12.3–14.6
Mobility disability among adults22.6%20.7–24.5
Self-care disability among adults8.1%7.5–8.8
Vision disability among adults12.5%11.5–13.4
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults36.0%32.8–39.2
Food insecurity in the past 12 months among adults45.8%42.6–49.0
Received food stamps in the past 12 months among adults40.7%37.7–43.7
Housing insecurity in the past 12 months among adults37.5%34.6–40.4
Lack of reliable transportation in the past 12 months among adults20.5%18.6–22.4
Loneliness among adults42.3%38.7–45.9
Utility services shut-off threat in the past 12 months among adults21.1%19.0–23.2
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)NY median (p10–p90)
Poverty rate33.7%10.6% (3.1–25.8%) n=32,3649.5% (2.5–22.6%) n=1,734
Uninsured 18–648.4%9.0% (1.5–24.3%) n=32,2865.0% (0.0–13.1%) n=1,734
No HS diploma (25+)31.7%7.9% (1.8–20.7%) n=32,5057.1% (1.2–17.5%) n=1,743
Bachelor's or higher (25+)14.3%23.3% (9.2–53.6%) n=32,50531.8% (13.9–62.1%) n=1,743
Unemployment rate (16+)15.4%3.9% (0.0–9.8%) n=32,2744.4% (0.0–9.7%) n=1,730
Households without a vehicle69.8%3.9% (0.0–12.5%) n=32,3225.7% (0.0–28.9%) n=1,730
Broadband subscription83.2%89.3% (75.1–97.1%) n=32,32291.5% (81.1–98.3%) n=1,730
Housing cost burden (≥30% income)57.5%23.7% (10.6–40.0%) n=32,32227.2% (14.2–45.5%) n=1,730
Homeownership rate10.3%78.7% (51.7–94.0%) n=32,32280.2% (40.9–94.8%) n=1,730
Crowded housing (>1 per room)11.3%1.3% (0.0–6.3%) n=32,3221.0% (0.0–6.6%) n=1,730
Foreign-born population28.5%2.6% (0.0–18.6%) n=32,5534.8% (0.0–28.7%) n=1,746
Single-parent households22.9%53.6% (37.3–74.1%) n=32,08754.0% (36.7–74.5%) n=1,716
Population 65+12.3%19.4% (10.8–33.6%) n=32,55320.0% (12.0–33.2%) n=1,746
Median age34.6 yr42.2 yr (33.0–56.3) n=32,29243.5 yr (34.6–56.1) n=1,733
Median household income$38,006$72,070 ($46,039–$118,707) n=30,318$81,837 ($55,470–$145,610) n=1,626
Median home value$582,000$222,200 ($100,300–$579,820) n=30,049$247,700 ($121,180–$801,380) n=1,629
Median gross rent$1,325$1,021 ($677–$1,912) n=25,670$1,162 ($782–$2,359) n=1,367
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)NY median (p10–p90)
Life expectancy at birth77.3 yr ± 0.6478.9 yr (74.7–82.8) n=31,30880.9 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 0.64 years of 77.3, and it’s very unlikely to be off by more than twice that.

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