ZIP code
12546
in Millerton, New YorkPopulation 2,706
60.52/ 100
Ranked #4,467 of 32,066 US ZIPs (top 14.0%)
Ranked #571 of 1,730 New York ZIPs (top 33%)
Ranked #53 of 77 Kiryas Joel-Poughkeepsie-Newburgh, NY ZIPs (bottom 31%)
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.
Recreation access
1.7 per 1,000 residents
in the top 2.7% nationally
Higher is healthier
ST96thUS97thDefinition & source ›
The number of places for physical recreation — gyms, sports, and fitness venues — 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.
Full methodology ›Grocery access
0.33 per 1,000 residents
in the top 3.2% nationally
Higher is healthier
ST96thUS97thDefinition & 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 ›Distance to a hazardous-chemical facility
20.8 mi
in the top 4.5% nationally
Higher is healthier
ST97thUS96thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest facility that handles enough hazardous chemicals to require an EPA risk-management plan for accidental releases.
Full methodology ›Crowded housing
6.4%
in the top 9.8% nationally
Lower is healthier
ST89thUS90thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Fine-particle (PM2.5) exceedance
0.55%
in the top 17% nationally
Lower is healthier
ST94thUS83rdDefinition & source ›
The share of days in the year when modeled fine-particle (PM2.5) pollution was above the EPA’s daily limit of 35 micrograms per cubic meter.
Full methodology ›The read
Overall, Millerton, New York (ZIP 12546) lands in the top 14.0% healthiest ZIPs nationally (4,467th) and the top 33% of New York (571st), based on limited data; treat as directional.
A handful of measures stand out most sharply across the profile here: recreation is in the top 2.7% nationally, and grocery settles in the top 3.2% nationally. Distance to a hazardous-chemical facility resides in the top 4.5% nationally. Modeled extreme heat registers at the national minimum, shared with about 19% of ZIPs. Modeled obesity rests in the bottom 11.9% nationally, pharmacy stands in the top 11.7% nationally, and modeled colon screening lies in the top 13.7% nationally. Modeled mammography lands in the top 14.9% nationally. On the other side, crowded housing sits in the top 9.8% nationally, and modeled fine-particle is in the top 17% nationally.
A note on the terms: distance to a hazardous-chemical facility is a plant handling large amounts of hazardous chemicals that must file an EPA risk-management plan for accidental releases. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. For a healthier nearby comparison, ZIP 01258, just across the boundary, ranks better 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 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 67%
21%
Social Need / SDOH
healthier than 63%
16%
Environmental Hazard
healthier than 62%
14%
Preventive Care
healthier than 87%
13%
Risk Behavior
healthier than 76%
11%
Mental Health
healthier than 85%
8%
Disability
healthier than 75%
7%
Climate / Disaster RiskPartial
healthier than 91%
5%
Healthcare Access
healthier than 73%
5%
Nothing measured is holding this score back.
Lifting this score
Risk Behavior
healthier than 74%
11%
Climate / Disaster RiskPartial
healthier than 84%
5%
Healthcare Access
healthier than 64%
5%
About typical
Chronic Disease Burden
healthier than 45%
21%
Social Need / SDOH
healthier than 57%
16%
Environmental Hazard
healthier than 56%
14%
Preventive Care
healthier than 52%
13%
Mental Health
healthier than 50%
8%
Disability
healthier than 48%
7%
Nothing measured is holding this score back.
Lifting this score
Environmental Hazard
healthier than 71%
14%
Climate / Disaster RiskPartial
in the top 0.00%
5%
Healthcare Access
healthier than 79%
5%
About typical
Social Need / SDOH
healthier than 46%
16%
Preventive Care
healthier than 53%
13%
Risk Behavior
healthier than 54%
11%
Holding it back
Chronic Disease Burden
healthier than 20%
21%
Mental Health
healthier than 29%
8%
Disability
healthier than 21%
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
01258
Massachusettsshares a border
Score 63.00
Closest healthier
06039
Connecticutshares a border
Score 67.62
Similar health profile
13850
New York100% similar profile
Score 60.63
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 | 28.2% | 25.5–31.0 |
| High blood pressure among adults | 34.8% | 31.6–38.3 |
| Cancer (non-skin) or melanoma among adults | 10.0% | 9.1–10.9 |
| Current asthma among adults | 10.5% | 9.4–11.7 |
| Coronary heart disease among adults | 6.9% | 6.1–7.8 |
| Chronic obstructive pulmonary disease among adults | 6.9% | 5.8–8.2 |
| Depression among adults | 19.6% | 17.1–22.5 |
| Diagnosed diabetes among adults | 10.4% | 9.0–11.9 |
| High cholesterol among adults who have ever been screened | 38.3% | 34.9–42.0 |
| Obesity among adults | 28.2% | 23.7–33.4 |
| Stroke among adults | 3.4% | 3.1–3.8 |
| All teeth lost among adults aged >=65 years | 12.1% | 10.0–14.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.6% | 5.4–8.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.9% | 76.4–81.3 |
| Visits to doctor for routine checkup within the past year among adults | 80.2% | 77.4–82.9 |
| Cholesterol screening among adults | 90.1% | 88.6–91.4 |
| Colorectal cancer screening among adults aged 45–75 years | 71.3% | 67.1–75.0 |
| Visited dentist or dental clinic in the past year among adults | 65.0% | 61.8–67.9 |
| Mammography use among women aged 50-74 years | 79.4% | 73.6–84.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.1% | 12.9–17.7 |
| Current cigarette smoking among adults | 12.1% | 9.9–14.4 |
| No leisure-time physical activity among adults | 22.2% | 18.6–26.1 |
| Short sleep duration among adults | 35.4% | 30.7–40.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.1% | 13.6–18.6 |
| Frequent mental distress among adults | 14.8% | 13.1–16.7 |
| Frequent physical distress among adults | 12.9% | 11.2–14.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.0% | 10.3–13.7 |
| Any disability among adults | 27.0% | 23.4–30.9 |
| Hearing disability among adults | 6.5% | 5.7–7.3 |
| Independent living disability among adults | 7.3% | 6.2–8.4 |
| Mobility disability among adults | 12.9% | 10.9–15.0 |
| Self-care disability among adults | 3.5% | 3.0–4.1 |
| Vision disability among adults | 4.5% | 3.9–5.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.7% | 19.4–26.3 |
| Food insecurity in the past 12 months among adults | 11.9% | 9.8–14.4 |
| Received food stamps in the past 12 months among adults | 10.2% | 8.2–12.4 |
| Housing insecurity in the past 12 months among adults | 10.4% | 8.8–12.3 |
| Lack of reliable transportation in the past 12 months among adults | 6.8% | 5.8–7.9 |
| Loneliness among adults | 31.7% | 27.3–36.3 |
| Utility services shut-off threat in the past 12 months among adults | 6.1% | 5.2–7.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 13.8% | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 13.8% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 10.9% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 34.1% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 3.1% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (0.0–9.7%) n=1,730 |
| Households without a vehicle | 4.9% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 85.7% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 22.9% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 79.0% | 78.7% (51.7–94.0%) n=32,322 | 80.2% (40.9–94.8%) n=1,730 |
| Crowded housing (>1 per room) | 6.4% | 1.3% (0.0–6.3%) n=32,322 | 1.0% (0.0–6.6%) n=1,730 |
| Foreign-born population | 16.3% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 59.3% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 22.1% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 45.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | $84,455 | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | $313,300 | $222,200 ($100,300–$579,820) n=30,049 | $247,700 ($121,180–$801,380) n=1,629 |
| Median gross rent | $1,420 | $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 | 80.1 yr ± 1.03 | 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 1.03 years of 80.1, 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