ZIP code
10958
in New Hampton, New YorkPopulation 3,054
62.12/ 100
Ranked #3,446 of 32,066 US ZIPs (top 10.8%)
Ranked #446 of 1,730 New York ZIPs (top 26%)
Ranked #36 of 77 Kiryas Joel-Poughkeepsie-Newburgh, NY ZIPs (top 47%)
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.
Median household income
$147,898
in the top 4.1% nationally
Higher is healthier
ST91stUS96thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Grocery access
0.28 per 1,000 residents
in the top 4.1% nationally
Higher is healthier
ST95thUS96thDefinition & source ›
The number of full supermarkets inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Poverty rate
2.0%
in the bottom 6.8% nationally
Lower is healthier
ST8thUS7thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Floodplain exposure
32.9%
in the top 8.8% nationally
Lower is healthier
ST94thUS91stDefinition & 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 ›Hearing disability
5.2%
in the bottom 8.1% nationally
Lower is healthier
ST19thUS8thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Home broadband subscription
97.1%
in the top 9.9% nationally
Higher is healthier
ST86thUS90thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Cognitive disability
10.8%
in the bottom 8.9% nationally
Lower is healthier
ST25thUS9thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›The read
By its overall health score, New Hampton, New York (ZIP 10958) lands in the top 10.8% healthiest ZIPs nationally (3,446th) and the top 26% of New York (446th).
The measures split the difference for this area: household income lands in the top 4.1% nationally, and grocery registers in the top 4.1% nationally. Poverty sits in the bottom 6.8% nationally, and modeled hearing disability rests in the bottom 8.1% nationally. Modeled extreme heat is at the national minimum, shared with about 19% of ZIPs. Home broadband subscription stands in the top 9.9% nationally, modeled cognitive disability settles in the bottom 8.9% nationally, and modeled independent living disability lies in the bottom 11.2% nationally. Modeled mobility disability resides in the bottom 12.5% nationally. Against that, floodplain exposure lands in the top 8.8% nationally.
Weighed against the ZIPs nearby, park land runs far lower than the surrounding ZIPs on this measure. To translate a couple of terms, 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. Overall, the nearest healthier neighbor is ZIP 10924, 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 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 84%
21%
Social Need / SDOH
healthier than 70%
16%
Preventive Care
healthier than 82%
13%
Risk Behavior
healthier than 74%
11%
Mental Health
healthier than 91%
8%
Disability
healthier than 89%
7%
Healthcare Access
healthier than 74%
5%
Holding it back
Environmental Hazard
healthier than 34%
14%
Climate / Disaster Risk
healthier than 24%
5%
Lifting this score
Chronic Disease Burden
healthier than 74%
21%
Social Need / SDOH
healthier than 65%
16%
Risk Behavior
healthier than 71%
11%
Mental Health
healthier than 67%
8%
Disability
healthier than 73%
7%
Healthcare Access
healthier than 66%
5%
About typical
Preventive Care
healthier than 43%
13%
Holding it back
Environmental Hazard
healthier than 25%
14%
Climate / Disaster Risk
healthier than 5%
5%
Lifting this score
Chronic Disease Burden
healthier than 70%
21%
Social Need / SDOH
healthier than 63%
16%
Mental Health
healthier than 73%
8%
Disability
healthier than 69%
7%
Healthcare Access
healthier than 85%
5%
About typical
Preventive Care
healthier than 44%
13%
Risk Behavior
healthier than 51%
11%
Holding it back
Environmental Hazard
healthier than 23%
14%
Climate / Disaster Risk
healthier than 1%
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
10924
New Yorkshares a border
Score 62.93
Closest healthier
10969
New Yorkshares a border
Score 65.70
Similar health profile
11598
New York99% similar profile
Score 67.89
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% | 21.6–27.2 |
| High blood pressure among adults | 30.9% | 27.4–34.4 |
| Cancer (non-skin) or melanoma among adults | 8.5% | 7.7–9.4 |
| Current asthma among adults | 10.2% | 9.0–11.4 |
| Coronary heart disease among adults | 5.4% | 4.8–6.0 |
| Chronic obstructive pulmonary disease among adults | 5.3% | 4.6–6.1 |
| Depression among adults | 17.3% | 14.8–20.1 |
| Diagnosed diabetes among adults | 9.8% | 8.5–11.2 |
| High cholesterol among adults who have ever been screened | 34.9% | 31.2–38.6 |
| Obesity among adults | 29.9% | 25.0–35.3 |
| Stroke among adults | 2.9% | 2.6–3.1 |
| All teeth lost among adults aged >=65 years | 9.9% | 7.8–12.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.3% | 5.2–7.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.3% | 73.1–79.1 |
| Visits to doctor for routine checkup within the past year among adults | 80.2% | 77.2–83.1 |
| Cholesterol screening among adults | 90.3% | 88.9–91.5 |
| Colorectal cancer screening among adults aged 45–75 years | 69.9% | 65.3–74.1 |
| Visited dentist or dental clinic in the past year among adults | 66.4% | 63.0–69.6 |
| Mammography use among women aged 50-74 years | 77.4% | 70.4–83.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.8% | 13.2–18.5 |
| Current cigarette smoking among adults | 10.2% | 8.5–12.1 |
| No leisure-time physical activity among adults | 21.8% | 18.4–25.5 |
| Short sleep duration among adults | 37.2% | 32.1–42.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 14.8% | 12.7–17.0 |
| Frequent mental distress among adults | 14.6% | 12.9–16.4 |
| Frequent physical distress among adults | 11.8% | 10.3–13.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 10.8% | 9.4–12.3 |
| Any disability among adults | 23.6% | 20.3–27.1 |
| Hearing disability among adults | 5.2% | 4.6–5.9 |
| Independent living disability among adults | 6.2% | 5.4–7.1 |
| Mobility disability among adults | 10.7% | 9.1–12.4 |
| Self-care disability among adults | 3.0% | 2.6–3.3 |
| Vision disability among adults | 3.9% | 3.5–4.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.0% | 19.9–26.3 |
| Food insecurity in the past 12 months among adults | 11.3% | 9.5–13.2 |
| Received food stamps in the past 12 months among adults | 8.7% | 7.3–10.3 |
| Housing insecurity in the past 12 months among adults | 11.2% | 9.6–12.9 |
| Lack of reliable transportation in the past 12 months among adults | 6.6% | 5.7–7.4 |
| Loneliness among adults | 30.1% | 26.0–34.4 |
| Utility services shut-off threat in the past 12 months among adults | 6.1% | 5.3–7.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 2.0% | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 1.8% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 13.5% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 22.2% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 2.9% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (0.0–9.7%) n=1,730 |
| Households without a vehicle | 8.3% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 97.1% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 19.6% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 89.9% | 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 | 10.0% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 62.8% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 13.2% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 38.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | $147,898 | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | $417,400 | $222,200 ($100,300–$579,820) n=30,049 | $247,700 ($121,180–$801,380) n=1,629 |
| Median gross rent | $2,167 | $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 | 81.2 yr ± 0.99 | 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 0.99 years of 81.2, 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