ZIP code
12865
in Salem, New YorkPopulation 3,356
55.55/ 100
Ranked #8,799 of 32,066 US ZIPs (top 27%)
Ranked #978 of 1,730 New York ZIPs (bottom 43%)
Ranked #25 of 41 Glens Falls, NY ZIPs (bottom 39%)
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.
Unemployment rate
9.9%
in the top 9.8% nationally
Lower is healthier
ST90thUS90thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Uninsured (under 65)
5.4%
in the bottom 9.1% nationally
Lower is healthier
ST39thUS9thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Radon
2.3 pCi/L
in the top 24% nationally
Lower is healthier
ST91stUS76thDefinition & source ›
The modeled typical indoor radon level for this area, in picocuries per liter — the EPA recommends fixing a home at 4 pCi/L or above.
Modeled from indoor-radon measurements. In Alaska and Hawaii, where those measurements are not published, a US Geological Survey geologic radon-potential category stands in — a coarser input, disclosed rather than hidden.
Full methodology ›The read
Salem, New York (ZIP 12865), in overall standing, comes out in the top 27% healthiest ZIPs nationally (8,799th) and the bottom 43% of New York (978th), based on limited data; treat as directional.
A few measures carry most of this area's good news: modeled extreme heat resides at the national minimum, shared with about 19% of ZIPs. Distance to a community health center sits at the national minimum, shared with about 23% of ZIPs. Distance to a hazardous-chemical facility stands in the top 17% nationally, and modeled tree cover resides in the top 17% nationally. Modeled uninsured sits in the bottom 9.1% nationally, and transportation noise stands in the bottom 20% nationally. Homeownership resides in the top 21% nationally, and modeled cognitive disability sits in the bottom 22% nationally. Set against that, unemployment stands in the top 9.8% nationally, and distance to an emergency room resides in the top 17% nationally.
Defined simply, for reference, 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. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. Distance to a community health center is a federally funded (HRSA) community health center serving everyone regardless of ability to pay. The closest healthier ZIP overall is ZIP 05250, 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental Hazard
healthier than 71%
14%
Preventive Care
healthier than 87%
13%
Risk Behavior
healthier than 67%
11%
Mental Health
healthier than 77%
8%
Disability
healthier than 62%
7%
Climate / Disaster RiskPartial
healthier than 94%
5%
About typical
Chronic Disease Burden
healthier than 43%
21%
Healthcare Access
healthier than 57%
5%
Holding it back
Social Need / SDOH
healthier than 32%
16%
Lifting this score
Environmental Hazard
healthier than 71%
14%
Climate / Disaster RiskPartial
healthier than 92%
5%
About typical
Preventive Care
healthier than 51%
13%
Risk Behavior
healthier than 60%
11%
Healthcare Access
healthier than 46%
5%
Holding it back
Chronic Disease Burden
healthier than 17%
21%
Social Need / SDOH
healthier than 27%
16%
Mental Health
healthier than 38%
8%
Disability
healthier than 31%
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
05250
Vermontshares a border
Score 56.93
Closest healthier
12816
New Yorkshares a border
Score 57.38
Similar health profile
14878
New York99% similar profile
Score 54.82
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 | 32.0% | 29.2–35.1 |
| High blood pressure among adults | 37.0% | 33.6–40.6 |
| Cancer (non-skin) or melanoma among adults | 10.8% | 10.0–11.8 |
| Current asthma among adults | 11.2% | 10.0–12.3 |
| Coronary heart disease among adults | 7.6% | 6.8–8.4 |
| Chronic obstructive pulmonary disease among adults | 8.1% | 7.1–9.2 |
| Depression among adults | 20.3% | 17.7–23.1 |
| Diagnosed diabetes among adults | 11.4% | 10.1–12.9 |
| High cholesterol among adults who have ever been screened | 41.6% | 38.0–45.4 |
| Obesity among adults | 31.2% | 26.0–36.8 |
| Stroke among adults | 3.9% | 3.5–4.3 |
| All teeth lost among adults aged >=65 years | 14.7% | 12.1–17.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.4% | 4.4–6.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.8% | 77.4–82.1 |
| Visits to doctor for routine checkup within the past year among adults | 82.7% | 80.2–85.0 |
| Cholesterol screening among adults | 90.3% | 89.1–91.5 |
| Colorectal cancer screening among adults aged 45–75 years | 66.7% | 62.1–71.0 |
| Visited dentist or dental clinic in the past year among adults | 64.0% | 60.7–67.4 |
| Mammography use among women aged 50-74 years | 78.4% | 71.9–83.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.9% | 13.5–18.4 |
| Current cigarette smoking among adults | 13.8% | 11.8–15.9 |
| No leisure-time physical activity among adults | 25.6% | 22.0–29.3 |
| Short sleep duration among adults | 33.4% | 28.2–38.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.0% | 15.7–20.5 |
| Frequent mental distress among adults | 15.6% | 14.0–17.3 |
| Frequent physical distress among adults | 14.4% | 12.9–16.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.4% | 11.0–13.8 |
| Any disability among adults | 29.8% | 26.4–33.4 |
| Hearing disability among adults | 7.2% | 6.4–8.0 |
| Independent living disability among adults | 8.2% | 7.3–9.2 |
| Mobility disability among adults | 15.0% | 13.2–17.0 |
| Self-care disability among adults | 4.0% | 3.5–4.5 |
| Vision disability among adults | 4.8% | 4.3–5.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.8% | 18.5–25.2 |
| Food insecurity in the past 12 months among adults | 11.9% | 9.9–14.1 |
| Received food stamps in the past 12 months among adults | 11.5% | 9.6–13.7 |
| Housing insecurity in the past 12 months among adults | 10.2% | 8.7–12.0 |
| Lack of reliable transportation in the past 12 months among adults | 6.8% | 5.9–7.8 |
| Loneliness among adults | 30.0% | 25.3–34.7 |
| Utility services shut-off threat in the past 12 months among adults | 6.6% | 5.6–7.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 17.2% | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 5.8% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 7.7% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 27.5% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 9.9% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (0.0–9.7%) n=1,730 |
| Households without a vehicle | 2.7% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 87.3% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 30.4% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 88.6% | 78.7% (51.7–94.0%) n=32,322 | 80.2% (40.9–94.8%) n=1,730 |
| Crowded housing (>1 per room) | 1.8% | 1.3% (0.0–6.3%) n=32,322 | 1.0% (0.0–6.6%) n=1,730 |
| Foreign-born population | 1.0% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 69.2% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 23.4% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 50.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | $71,983 | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | $192,900 | $222,200 ($100,300–$579,820) n=30,049 | $247,700 ($121,180–$801,380) n=1,629 |
| Median gross rent | $955 | $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 ± 1.01 | 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 1.01 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