ZIP code
10975
in Southfields, New YorkPopulation 246
67.47/ 100
Ranked #1,142 of 32,066 US ZIPs (top 3.6%)
Ranked #170 of 1,730 New York ZIPs (top 9.9%)
Ranked #3 of 77 Kiryas Joel-Poughkeepsie-Newburgh, NY ZIPs (top 3.9%)
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.
Park land
94.7%
in the top 0.2% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Loud transportation noise
4.3%
in the top 1.9% nationally
Lower is healthier
ST98thUS98thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 65 decibels — around the volume of normal conversation.
Full methodology ›Home broadband subscription
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Housing-cost burden
50%
in the top 3.1% nationally
Lower is healthier
ST95thUS97thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Homeownership rate
30.3%
in the bottom 3.2% nationally
Higher is healthier
ST7thUS3rdDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Transportation noise
15.9%
in the top 3.9% nationally
Lower is healthier
ST92ndUS96thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Cognitive disability
9.3%
in the bottom 2.8% nationally
Lower is healthier
ST10thUS3rdDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Loneliness
27.7%
in the bottom 5.9% nationally
Lower is healthier
ST7thUS6thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Tree cover
74.6%
in the top 7.1% nationally
Higher is healthier
ST89thUS93rdDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Independent-living disability
5.3%
in the bottom 4.2% nationally
Lower is healthier
ST7thUS4thDefinition & source ›
The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.
Full methodology ›The read
On balance, and by the composite measure, Southfields, New York (ZIP 10975) ranks in the top 3.6% healthiest ZIPs nationally (1,142nd) and the top 9.9% of New York (170th).
Neither strongly one way nor the other, the measures sit mixed: park land rests in the top 0.2% nationally, and home broadband subscription is at the national maximum. Modeled cognitive disability stands in the bottom 2.8% nationally, and loneliness settles in the bottom 5.9% nationally. Modeled tree cover lies in the top 7.1% nationally. Unemployment resides at the national minimum, shared with about 15% of ZIPs. Modeled independent living disability lands in the bottom 4.2% nationally. Against that, modeled loud transportation noise registers in the top 1.9% nationally, housing-cost burden sits in the top 3.1% nationally, and modeled transportation noise rests in the top 3.9% nationally.
Compared with the ZIPs it borders, park land runs far higher than the surrounding ZIPs on this measure. In plainer terms, loud transportation noise is the modeled share of an area exposed to road, rail, and air noise at or above 65 decibels, near conversation volume. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. For a healthier nearby ZIP overall, look to ZIP 07430, about 6.7 miles away.
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 Kiryas Joel-Poughkeepsie-Newburgh, NY 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 85%
21%
Social Need / SDOH
healthier than 91%
16%
Preventive Care
healthier than 93%
13%
Risk Behavior
healthier than 84%
11%
Mental Health
healthier than 98%
8%
Disability
healthier than 93%
7%
Climate / Disaster Risk
healthier than 69%
5%
Holding it back
Environmental Hazard
healthier than 37%
14%
Healthcare Access
healthier than 33%
5%
Lifting this score
Chronic Disease Burden
healthier than 76%
21%
Social Need / SDOH
healthier than 88%
16%
Preventive Care
healthier than 72%
13%
Risk Behavior
healthier than 84%
11%
Mental Health
healthier than 89%
8%
Disability
healthier than 82%
7%
Holding it back
Environmental Hazard
healthier than 28%
14%
Climate / Disaster Risk
healthier than 33%
5%
Healthcare Access
healthier than 28%
5%
Lifting this score
Chronic Disease Burden
healthier than 76%
21%
Social Need / SDOH
healthier than 99%
16%
Preventive Care
healthier than 83%
13%
Risk Behavior
healthier than 79%
11%
Mental Health
healthier than 99%
8%
Disability
healthier than 86%
7%
Holding it back
Environmental Hazard
healthier than 31%
14%
Climate / Disaster Risk
healthier than 38%
5%
Healthcare Access
healthier than 11%
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
10926
New Yorkshares a border
Score 63.99
Closest healthier
07430
New Jerseyabout 6.7 mi away
Score 68.76
Similar health profile
11030
New York100% similar profile
Score 74.84
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 | 24.1% | 21.2–27.2 |
| High blood pressure among adults | 31.9% | 28.5–35.7 |
| Cancer (non-skin) or melanoma among adults | 9.3% | 8.4–10.3 |
| Current asthma among adults | 9.2% | 8.1–10.4 |
| Coronary heart disease among adults | 6.0% | 5.1–7.1 |
| Chronic obstructive pulmonary disease among adults | 4.8% | 3.7–6.2 |
| Depression among adults | 15.7% | 13.3–18.3 |
| Diagnosed diabetes among adults | 10.2% | 8.6–11.9 |
| High cholesterol among adults who have ever been screened | 36.1% | 32.4–40.0 |
| Obesity among adults | 29.2% | 24.2–34.8 |
| Stroke among adults | 2.9% | 2.4–3.4 |
| All teeth lost among adults aged >=65 years | 6.7% | 5.2–8.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.2% | 4.7–8.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.9% | 74.8–80.6 |
| Visits to doctor for routine checkup within the past year among adults | 80.9% | 78.0–83.6 |
| Cholesterol screening among adults | 91.5% | 89.8–92.8 |
| Colorectal cancer screening among adults aged 45–75 years | 72.7% | 68.1–76.8 |
| Visited dentist or dental clinic in the past year among adults | 69.6% | 66.3–72.6 |
| Mammography use among women aged 50-74 years | 80.3% | 73.5–85.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.9% | 13.3–18.6 |
| Current cigarette smoking among adults | 8.5% | 6.3–11.0 |
| No leisure-time physical activity among adults | 19.8% | 16.0–24.0 |
| Short sleep duration among adults | 35.9% | 30.8–41.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 13.7% | 11.1–16.7 |
| Frequent mental distress among adults | 12.7% | 10.9–14.7 |
| Frequent physical distress among adults | 10.9% | 9.2–12.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 9.3% | 7.7–11.2 |
| Any disability among adults | 22.2% | 18.4–26.3 |
| Hearing disability among adults | 5.8% | 4.9–6.7 |
| Independent living disability among adults | 5.3% | 4.3–6.4 |
| Mobility disability among adults | 10.0% | 8.1–12.2 |
| Self-care disability among adults | 2.8% | 2.3–3.4 |
| Vision disability among adults | 3.6% | 3.0–4.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.2% | 17.7–24.5 |
| Food insecurity in the past 12 months among adults | 9.3% | 7.1–11.9 |
| Received food stamps in the past 12 months among adults | 6.8% | 5.0–9.0 |
| Housing insecurity in the past 12 months among adults | 9.7% | 7.7–11.9 |
| Lack of reliable transportation in the past 12 months among adults | 5.6% | 4.6–6.7 |
| Loneliness among adults | 27.7% | 23.6–32.1 |
| Utility services shut-off threat in the past 12 months among adults | 5.3% | 4.3–6.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 14.6% | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 0.0% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 22.7% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 15.3% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (0.0–9.7%) n=1,730 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 100.0% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 50.0% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 30.3% | 78.7% (51.7–94.0%) n=32,322 | 80.2% (40.9–94.8%) n=1,730 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 1.0% (0.0–6.6%) n=1,730 |
| Foreign-born population | 4.1% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 100.0% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 28.9% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 28.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | $81,250 | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | — | $222,200 ($100,300–$579,820) n=30,049 | $247,700 ($121,180–$801,380) n=1,629 |
| Median gross rent | $2,017 | $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 | 85.7 yr ± 2.62 | 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 2.62 years of 85.7, 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