ZIP code
12456
in Mount Marion, New YorkPopulation 390
59.53/ 100
Ranked #5,194 of 32,066 US ZIPs (top 16%)
Ranked #647 of 1,730 New York ZIPs (top 37%)
Ranked #24 of 52 Kingston, NY ZIPs (top 46%)
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.
Poverty rate
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Households without a vehicle
19.3%
in the top 4.8% nationally
Lower is healthier
ST85thUS95thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Natural-disaster risk
in the bottom 5.2% nationally
Lower is healthier
ST9thUS5thDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›Expected annual disaster loss
$0
in the bottom 6.7% nationally
Lower is healthier
ST8thUS7thDefinition & 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 ›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 ›Floodplain exposure
27.9%
in the top 11.2% nationally
Lower is healthier
ST93rdUS89thDefinition & 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 ›Tooth loss
6.6%
in the bottom 6.7% nationally
Lower is healthier
ST9thUS7thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Home broadband subscription
76.6%
in the bottom 11.8% nationally
Higher is healthier
ST6thUS12thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Diabetes
8.9%
in the bottom 8.2% nationally
Lower is healthier
ST12thUS8thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Uninsured (under 65)
4.9%
in the bottom 5.8% nationally
Lower is healthier
ST25thUS6thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›The read
Mount Marion, New York (ZIP 12456), by its overall standing, sits in the top 16% healthiest ZIPs nationally (5,194th) and the top 37% of New York (647th).
The measures fall on both sides of the ledger for this area: poverty resides at the national minimum, modeled disaster risk rests in the bottom 5.2% nationally, and modeled expected annual loss lies in the bottom 6.7% nationally. Unemployment sits at the national minimum, shared with about 15% of ZIPs. Modeled hearing disability settles in the bottom 8.1% nationally. Modeled extreme heat registers at the national minimum, shared with about 19% of ZIPs. Modeled obesity stands in the bottom 12.7% nationally. Set against that, households without a vehicle lands in the top 4.8% nationally. Fiber broadband is at the national minimum, shared with about 19% of ZIPs. Floodplain exposure resides in the top 11.2% nationally.
Held up against its neighbors, park land runs far higher than the surrounding ZIPs on this measure. Defined in plain terms, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. The nearest ZIP ranking healthier overall is ZIP 12475, about 0.1 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 Kingston, 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 81%
21%
Environmental Hazard
healthier than 63%
14%
Preventive Care
healthier than 78%
13%
Risk Behavior
healthier than 71%
11%
Mental Health
healthier than 71%
8%
Disability
healthier than 88%
7%
About typical
Social Need / SDOH
healthier than 46%
16%
Healthcare Access
healthier than 52%
5%
Holding it back
Climate / Disaster Risk
healthier than 29%
5%
Lifting this score
Chronic Disease Burden
healthier than 68%
21%
Risk Behavior
healthier than 65%
11%
Disability
healthier than 70%
7%
About typical
Social Need / SDOH
healthier than 42%
16%
Environmental Hazard
healthier than 58%
14%
Healthcare Access
healthier than 41%
5%
Holding it back
Preventive Care
healthier than 37%
13%
Mental Health
healthier than 29%
8%
Climate / Disaster Risk
healthier than 6%
5%
Lifting this score
Chronic Disease Burden
in the top 0.00%
21%
Disability
healthier than 86%
7%
About typical
Social Need / SDOH
healthier than 46%
16%
Environmental Hazard
healthier than 58%
14%
Healthcare Access
healthier than 58%
5%
Holding it back
Preventive Care
healthier than 22%
13%
Risk Behavior
healthier than 34%
11%
Mental Health
healthier than 14%
8%
Climate / Disaster Risk
healthier than 4%
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
12477
New Yorkshares a border
Score 57.46
Closest healthier
12475
New Yorkabout 0.1 mi away
Score 59.60
Similar health profile
50219
Iowa98% similar profile
Score 60.48
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 | 25.8% | 22.7–28.8 |
| High blood pressure among adults | 32.8% | 29.1–36.4 |
| Cancer (non-skin) or melanoma among adults | 9.0% | 8.1–10.0 |
| Current asthma among adults | 10.9% | 9.7–12.3 |
| Coronary heart disease among adults | 5.4% | 4.6–6.2 |
| Chronic obstructive pulmonary disease among adults | 5.9% | 4.8–7.2 |
| Depression among adults | 20.9% | 17.9–24.0 |
| Diagnosed diabetes among adults | 8.9% | 7.6–10.4 |
| High cholesterol among adults who have ever been screened | 35.6% | 31.9–39.4 |
| Obesity among adults | 28.5% | 23.2–34.2 |
| Stroke among adults | 2.9% | 2.4–3.3 |
| All teeth lost among adults aged >=65 years | 6.6% | 5.3–8.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 4.9% | 3.8–6.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.1% | 73.0–78.9 |
| Visits to doctor for routine checkup within the past year among adults | 80.7% | 77.6–83.6 |
| Cholesterol screening among adults | 89.6% | 87.6–91.5 |
| Colorectal cancer screening among adults aged 45–75 years | 68.2% | 63.6–72.5 |
| Visited dentist or dental clinic in the past year among adults | 67.1% | 63.8–70.3 |
| Mammography use among women aged 50-74 years | 75.5% | 68.4–81.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.6% | 13.9–19.6 |
| Current cigarette smoking among adults | 11.1% | 8.5–13.7 |
| No leisure-time physical activity among adults | 20.9% | 16.7–25.1 |
| Short sleep duration among adults | 36.9% | 31.6–42.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 14.2% | 11.5–17.1 |
| Frequent mental distress among adults | 16.0% | 13.8–18.1 |
| Frequent physical distress among adults | 12.3% | 10.4–14.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.7% | 9.9–13.8 |
| Any disability among adults | 23.8% | 19.9–27.9 |
| Hearing disability among adults | 5.2% | 4.5–6.0 |
| Independent living disability among adults | 6.8% | 5.7–8.1 |
| Mobility disability among adults | 10.9% | 8.9–13.1 |
| Self-care disability among adults | 2.9% | 2.4–3.5 |
| Vision disability among adults | 3.6% | 3.1–4.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.1% | 18.5–25.9 |
| Food insecurity in the past 12 months among adults | 10.0% | 7.7–12.9 |
| Received food stamps in the past 12 months among adults | 8.5% | 6.3–11.0 |
| Housing insecurity in the past 12 months among adults | 9.8% | 7.8–11.9 |
| Lack of reliable transportation in the past 12 months among adults | 6.3% | 5.2–7.5 |
| Loneliness among adults | 30.8% | 26.1–35.8 |
| Utility services shut-off threat in the past 12 months among adults | 5.5% | 4.5–6.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 0.0% | 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+) | 13.6% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 11.7% | 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 | 19.3% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 76.6% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 19.3% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 72.0% | 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 | 4.4% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 50.5% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 26.4% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 49.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | $63,833 | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | $238,200 | $222,200 ($100,300–$579,820) n=30,049 | $247,700 ($121,180–$801,380) n=1,629 |
| Median gross rent | — | $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 | 78.4 yr ± 1.68 | 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 1.68 years of 78.4, 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