ZIP code
10950
in South Blooming Grove, New YorkPopulation 68,136
48.41/ 100
Ranked #18,403 of 32,066 US ZIPs (bottom 43%)
Ranked #1,536 of 1,730 New York ZIPs (bottom 11.3%)
Ranked #77 of 77 Kiryas Joel-Poughkeepsie-Newburgh, NY ZIPs (bottom 1.3%)
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.
Crowded housing
13.9%
in the top 2.5% nationally
Lower is healthier
ST98thUS98thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Housing-cost burden
50.9%
in the top 2.8% nationally
Lower is healthier
ST95thUS97thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Home broadband subscription
62.3%
in the bottom 3.4% nationally
Higher is healthier
ST2ndUS3rdDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Households without a vehicle
20.6%
in the top 4.3% nationally
Lower is healthier
ST86thUS96thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›High cholesterol
31.1%
in the bottom 4.7% nationally
Lower is healthier
ST4thUS5thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Lack of transportation
14.1%
in the top 7.8% nationally
Lower is healthier
ST95thUS92ndDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›High blood pressure
28.2%
in the bottom 6.5% nationally
Lower is healthier
ST9thUS6thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Housing insecurity
19.9%
in the top 9.1% nationally
Lower is healthier
ST92ndUS91stDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Poverty rate
26.6%
in the top 9.3% nationally
Lower is healthier
ST93rdUS91stDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Expected annual disaster loss
$0
in the top 9.3% nationally
Lower is healthier
ST99thUS91stDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›The read
By the composite measure, South Blooming Grove, New York (ZIP 10950) sits in the bottom 43% nationally (18,403rd) and the bottom 11.3% of New York (1,536th).
The readings split fairly evenly between strengths and concerns: modeled high cholesterol registers in the bottom 4.7% nationally, and high blood pressure lands in the bottom 6.5% nationally. Working the other way, crowded housing resides in the top 2.5% nationally, housing-cost burden lies in the top 2.8% nationally, and home broadband subscription settles in the bottom 3.4% nationally. Households without a vehicle stands in the top 4.3% nationally, and modeled transportation is in the top 7.8% nationally. Modeled housing insecurity rests in the top 9.1% nationally, and poverty sits in the top 9.3% nationally. Modeled expected annual loss registers in the top 9.3% nationally.
Compared with the ZIPs that surround it, park land runs far lower than the surrounding ZIPs on this measure. In plain language, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. ZIP 10917, just across the boundary, ranks healthier overall. This ZIP also sits on the healthier half of the national range on at least seven of the ten good-life measures tracked here, from quiet and green space to nearby care, a combination reached by about one in twenty-five US ZIP codes.
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 83%
21%
Climate / Disaster Risk
healthier than 81%
5%
Healthcare Access
healthier than 61%
5%
About typical
Environmental Hazard
healthier than 57%
14%
Holding it back
Social Need / SDOH
healthier than 4%
16%
Preventive Care
healthier than 18%
13%
Risk Behavior
healthier than 21%
11%
Mental Health
healthier than 25%
8%
Disability
healthier than 40%
7%
Lifting this score
Chronic Disease Burden
healthier than 72%
21%
About typical
Environmental Hazard
healthier than 50%
14%
Climate / Disaster Risk
healthier than 52%
5%
Healthcare Access
healthier than 50%
5%
Holding it back
Social Need / SDOH
healthier than 3%
16%
Preventive Care
healthier than 5%
13%
Risk Behavior
healthier than 13%
11%
Mental Health
healthier than 2%
8%
Disability
healthier than 12%
7%
Lifting this score
Chronic Disease Burden
healthier than 66%
21%
Environmental Hazard
healthier than 66%
14%
Climate / Disaster Risk
healthier than 73%
5%
About typical
Healthcare Access
healthier than 55%
5%
Holding it back
Social Need / SDOH
in the bottom 0.00%
16%
Preventive Care
healthier than 4%
13%
Risk Behavior
in the bottom 0.00%
11%
Mental Health
healthier than 3%
8%
Disability
in the bottom 0.00%
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 ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
10917
New Yorkshares a border
Score 66.41
Closest healthier
10918
New Yorkshares a border
Score 64.84
Similar health profile
06226
Connecticut93% similar profile
Score 45.71
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 | 21.3% | 18.9–23.7 |
| High blood pressure among adults | 28.2% | 25.0–31.5 |
| Cancer (non-skin) or melanoma among adults | 6.1% | 5.5–6.7 |
| Current asthma among adults | 11.7% | 10.4–13.0 |
| Coronary heart disease among adults | 5.1% | 4.6–5.6 |
| Chronic obstructive pulmonary disease among adults | 7.3% | 6.6–8.1 |
| Depression among adults | 21.6% | 18.6–24.8 |
| Diagnosed diabetes among adults | 9.5% | 8.3–10.8 |
| High cholesterol among adults who have ever been screened | 31.1% | 27.8–34.5 |
| Obesity among adults | 33.2% | 27.8–38.7 |
| Stroke among adults | 2.9% | 2.7–3.1 |
| All teeth lost among adults aged >=65 years | 13.9% | 11.6–16.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.7% | 9.4–12.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 68.5% | 65.3–71.4 |
| Visits to doctor for routine checkup within the past year among adults | 75.8% | 72.2–79.1 |
| Cholesterol screening among adults | 81.4% | 79.4–83.2 |
| Colorectal cancer screening among adults aged 45–75 years | 63.8% | 59.0–68.2 |
| Visited dentist or dental clinic in the past year among adults | 55.3% | 52.0–58.6 |
| Mammography use among women aged 50-74 years | 77.0% | 69.9–82.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.1% | 13.4–18.9 |
| Current cigarette smoking among adults | 17.1% | 15.1–19.2 |
| No leisure-time physical activity among adults | 28.5% | 24.8–32.3 |
| Short sleep duration among adults | 40.4% | 35.1–45.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.7% | 19.3–24.1 |
| Frequent mental distress among adults | 20.9% | 18.8–23.0 |
| Frequent physical distress among adults | 14.8% | 13.2–16.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.1% | 16.4–20.0 |
| Any disability among adults | 31.2% | 27.6–34.7 |
| Hearing disability among adults | 5.4% | 4.8–6.1 |
| Independent living disability among adults | 11.2% | 10.2–12.4 |
| Mobility disability among adults | 12.5% | 11.0–14.0 |
| Self-care disability among adults | 4.6% | 4.2–5.0 |
| Vision disability among adults | 6.7% | 6.2–7.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 26.5% | 23.4–30.0 |
| Food insecurity in the past 12 months among adults | 24.6% | 22.1–27.3 |
| Received food stamps in the past 12 months among adults | 24.4% | 22.3–26.7 |
| Housing insecurity in the past 12 months among adults | 19.9% | 17.8–22.1 |
| Lack of reliable transportation in the past 12 months among adults | 14.1% | 12.8–15.6 |
| Loneliness among adults | 34.5% | 30.3–38.9 |
| Utility services shut-off threat in the past 12 months among adults | 12.9% | 11.6–14.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 26.6% | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 4.7% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 16.1% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 26.1% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 4.3% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (0.0–9.7%) n=1,730 |
| Households without a vehicle | 20.6% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 62.3% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 50.9% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 61.4% | 78.7% (51.7–94.0%) n=32,322 | 80.2% (40.9–94.8%) n=1,730 |
| Crowded housing (>1 per room) | 13.9% | 1.3% (0.0–6.3%) n=32,322 | 1.0% (0.0–6.6%) n=1,730 |
| Foreign-born population | 11.3% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 28.0% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 6.8% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 21.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | $78,931 | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | $486,800 | $222,200 ($100,300–$579,820) n=30,049 | $247,700 ($121,180–$801,380) n=1,629 |
| Median gross rent | $1,720 | $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 | 79.3 yr ± 0.72 | 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 0.72 years of 79.3, 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