ZIP code
12567
in Pine Plains, New YorkPopulation 2,695
58.17/ 100
Ranked #6,254 of 32,066 US ZIPs (top 20%)
Ranked #762 of 1,730 New York ZIPs (top 44%)
Ranked #62 of 77 Kiryas Joel-Poughkeepsie-Newburgh, NY ZIPs (bottom 19%)
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.
Grocery access
0.39 per 1,000 residents
in the top 2.5% nationally
Higher is healthier
ST97thUS98thDefinition & 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 ›Civic-institution access
0.78 per 1,000 residents
in the top 6.6% nationally
Higher is healthier
ST92ndUS93rdDefinition & source ›
The number of civic and social organizations 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 ›Pharmacy access
0.39 per 1,000 residents
in the top 8.6% nationally
Higher is healthier
ST90thUS91stDefinition & source ›
The number of pharmacies located 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 ›Distance to a hazardous-chemical facility
14 mi
in the top 8.9% nationally
Higher is healthier
ST89thUS91stDefinition & 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 ›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
Pine Plains, New York (ZIP 12567) ranks in the top 20% healthiest ZIPs nationally (6,254th) and the top 44% of New York (762nd), based on limited data; treat as directional.
Several signals sit on each side of the ledger here: grocery stands in the top 2.5% nationally, and civic sits in the top 6.6% nationally. Pharmacy resides in the top 8.6% nationally, and distance to a hazardous-chemical facility stands in the top 8.9% nationally. Modeled extreme heat sits at the national minimum, shared with about 19% of ZIPs. Modeled obesity resides in the bottom 13.3% nationally. Crowded housing stands at the national minimum, shared with about 29% of ZIPs. Modeled colon screening sits in the top 13.2% nationally. Working the other way, modeled fine-particle resides in the top 17% nationally. Recreation stands at the national minimum, shared with about 35% of ZIPs.
For context, 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. The closest ZIP that ranks healthier overall is ZIP 12502, 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
Social Need / SDOH
healthier than 65%
16%
Environmental Hazard
healthier than 65%
14%
Preventive Care
healthier than 88%
13%
Risk Behavior
healthier than 75%
11%
Mental Health
healthier than 81%
8%
Disability
healthier than 67%
7%
Climate / Disaster RiskPartial
healthier than 85%
5%
About typical
Chronic Disease Burden
healthier than 53%
21%
Healthcare Access
healthier than 42%
5%
Nothing measured is holding this score back.
Lifting this score
Environmental Hazard
healthier than 62%
14%
Risk Behavior
healthier than 71%
11%
Climate / Disaster RiskPartial
healthier than 62%
5%
About typical
Social Need / SDOH
healthier than 59%
16%
Preventive Care
healthier than 54%
13%
Mental Health
healthier than 43%
8%
Holding it back
Chronic Disease Burden
healthier than 28%
21%
Disability
healthier than 36%
7%
Healthcare Access
healthier than 33%
5%
Lifting this score
Environmental Hazard
healthier than 76%
14%
Climate / Disaster RiskPartial
healthier than 89%
5%
About typical
Social Need / SDOH
healthier than 49%
16%
Preventive Care
healthier than 57%
13%
Risk Behavior
healthier than 52%
11%
Holding it back
Chronic Disease Burden
healthier than 5%
21%
Mental Health
healthier than 21%
8%
Disability
healthier than 14%
7%
Healthcare Access
healthier than 19%
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
12501
New Yorkshares a border
Score 55.08
Closest healthier
12502
New Yorkshares a border
Score 58.64
Similar health profile
12816
New York99% similar profile
Score 57.38
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 | 30.7% | 28.0–33.5 |
| High blood pressure among adults | 36.8% | 33.7–40.1 |
| Cancer (non-skin) or melanoma among adults | 10.8% | 10.0–11.7 |
| Current asthma among adults | 10.8% | 9.8–12.0 |
| Coronary heart disease among adults | 7.5% | 6.7–8.4 |
| Chronic obstructive pulmonary disease among adults | 7.8% | 6.7–9.1 |
| Depression among adults | 20.2% | 17.9–22.9 |
| Diagnosed diabetes among adults | 11.0% | 9.7–12.6 |
| High cholesterol among adults who have ever been screened | 39.9% | 36.7–43.3 |
| Obesity among adults | 28.7% | 24.5–33.3 |
| Stroke among adults | 3.8% | 3.4–4.2 |
| All teeth lost among adults aged >=65 years | 12.3% | 10.2–14.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.7% | 4.7–6.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.4% | 78.1–82.6 |
| Visits to doctor for routine checkup within the past year among adults | 81.1% | 78.7–83.5 |
| Cholesterol screening among adults | 90.6% | 89.3–91.7 |
| Colorectal cancer screening among adults aged 45–75 years | 71.4% | 67.6–74.9 |
| Visited dentist or dental clinic in the past year among adults | 65.1% | 62.2–67.8 |
| Mammography use among women aged 50-74 years | 76.5% | 70.6–81.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.5% | 12.6–16.7 |
| Current cigarette smoking among adults | 13.1% | 11.1–15.3 |
| No leisure-time physical activity among adults | 23.5% | 20.0–27.2 |
| Short sleep duration among adults | 35.1% | 30.8–39.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.9% | 14.6–19.4 |
| Frequent mental distress among adults | 15.1% | 13.5–16.8 |
| Frequent physical distress among adults | 13.7% | 12.2–15.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.2% | 10.7–13.9 |
| Any disability among adults | 28.5% | 25.2–32.1 |
| Hearing disability among adults | 7.1% | 6.3–7.9 |
| Independent living disability among adults | 7.8% | 6.8–8.9 |
| Mobility disability among adults | 14.3% | 12.3–16.4 |
| Self-care disability among adults | 3.8% | 3.3–4.3 |
| Vision disability among adults | 4.7% | 4.1–5.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.6% | 19.6–25.8 |
| Food insecurity in the past 12 months among adults | 11.8% | 9.8–13.9 |
| Received food stamps in the past 12 months among adults | 10.6% | 8.8–12.7 |
| Housing insecurity in the past 12 months among adults | 9.9% | 8.4–11.5 |
| Lack of reliable transportation in the past 12 months among adults | 6.6% | 5.7–7.5 |
| Loneliness among adults | 31.5% | 27.4–35.9 |
| Utility services shut-off threat in the past 12 months among adults | 6.0% | 5.2–6.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 9.1% | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 7.0% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 7.5% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 44.4% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 6.6% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (0.0–9.7%) n=1,730 |
| Households without a vehicle | 2.3% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 93.9% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 20.9% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 84.0% | 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 | 5.1% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 60.8% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 26.2% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 54.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | $103,750 | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | $348,500 | $222,200 ($100,300–$579,820) n=30,049 | $247,700 ($121,180–$801,380) n=1,629 |
| Median gross rent | $1,548 | $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 | 83.9 yr ± 1.85 | 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 1.85 years of 83.9, 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