ZIP code
12045
in Coeymans, New YorkPopulation 207
57.78/ 100
Ranked #6,582 of 32,066 US ZIPs (top 21%)
Ranked #795 of 1,730 New York ZIPs (top 46%)
Ranked #61 of 114 Albany-Schenectady-Troy, NY ZIPs (bottom 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.
Housing-cost burden
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Homeownership rate
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Home broadband subscription
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Poverty rate
0.48%
in the bottom 4.8% nationally
Lower is healthier
ST6thUS5thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Expected annual disaster loss
$0
in the bottom 5.9% nationally
Lower is healthier
ST7thUS6thDefinition & 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 ›Binge drinking
20%
in the top 6.2% nationally
Lower is healthier
ST94thUS94thDefinition & source ›
The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.
Full methodology ›Hearing disability
5.1%
in the bottom 7.2% nationally
Lower is healthier
ST17thUS7thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Arsenic in groundwater
14.7%
in the top 10.2% nationally
Lower is healthier
ST95thUS90thDefinition & source ›
The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms per liter.
A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.
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 ›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
Judged by its overall standing, Coeymans, New York (ZIP 12045) sits in the top 21% healthiest ZIPs nationally (6,582nd) and the top 46% of New York (795th).
An even profile, with readings pulling both ways: housing-cost burden lands at the national minimum, homeownership rests at the national maximum, and home broadband subscription settles at the national maximum. Poverty lands in the bottom 4.8% nationally, and modeled expected annual loss rests in the bottom 5.9% nationally. Unemployment settles at the national minimum, shared with about 15% of ZIPs. Households without a vehicle lands at the national minimum, shared with about 16% of ZIPs. Modeled hearing disability rests in the bottom 7.2% nationally. Modeled extreme heat settles at the national minimum, shared with about 19% of ZIPs. Against that, modeled binge drinking lands in the top 6.2% nationally.
Put plainly, 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. A healthier nearby ZIP overall is ZIP 12158, 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 Albany-Schenectady-Troy, 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 78%
21%
Social Need / SDOH
healthier than 82%
16%
Environmental Hazard
healthier than 65%
14%
Preventive Care
healthier than 73%
13%
Disability
healthier than 83%
7%
About typical
Risk Behavior
healthier than 45%
11%
Mental Health
healthier than 50%
8%
Climate / Disaster Risk
healthier than 45%
5%
Holding it back
Healthcare Access
healthier than 19%
5%
Lifting this score
Chronic Disease Burden
healthier than 61%
21%
Social Need / SDOH
healthier than 78%
16%
Environmental Hazard
healthier than 62%
14%
Disability
healthier than 61%
7%
Holding it back
Preventive Care
healthier than 31%
13%
Risk Behavior
healthier than 34%
11%
Mental Health
healthier than 12%
8%
Climate / Disaster Risk
healthier than 13%
5%
Healthcare Access
healthier than 17%
5%
Lifting this score
Chronic Disease Burden
healthier than 75%
21%
Social Need / SDOH
healthier than 82%
16%
Disability
healthier than 67%
7%
About typical
Environmental Hazard
healthier than 51%
14%
Holding it back
Preventive Care
healthier than 22%
13%
Risk Behavior
healthier than 37%
11%
Mental Health
healthier than 15%
8%
Climate / Disaster Risk
healthier than 10%
5%
Healthcare Access
healthier than 39%
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
12124
New Yorkshares a border
Score 51.83
Closest healthier
12158
New Yorkshares a border
Score 61.43
Similar health profile
52213
Iowa97% similar profile
Score 58.60
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 | 24.8% | 22.2–27.5 |
| High blood pressure among adults | 31.3% | 28.1–34.3 |
| Cancer (non-skin) or melanoma among adults | 8.0% | 7.2–8.9 |
| Current asthma among adults | 11.5% | 10.2–12.9 |
| Coronary heart disease among adults | 5.3% | 4.6–6.1 |
| Chronic obstructive pulmonary disease among adults | 6.1% | 5.0–7.4 |
| Depression among adults | 23.2% | 20.2–26.3 |
| Diagnosed diabetes among adults | 8.9% | 7.6–10.3 |
| High cholesterol among adults who have ever been screened | 35.4% | 32.0–38.8 |
| Obesity among adults | 31.7% | 27.2–36.3 |
| Stroke among adults | 2.8% | 2.5–3.3 |
| All teeth lost among adults aged >=65 years | 13.4% | 10.9–16.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.7% | 4.4–7.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.7% | 72.7–78.5 |
| Visits to doctor for routine checkup within the past year among adults | 78.5% | 75.7–81.3 |
| Cholesterol screening among adults | 88.7% | 86.9–90.4 |
| Colorectal cancer screening among adults aged 45–75 years | 67.5% | 63.1–71.6 |
| Visited dentist or dental clinic in the past year among adults | 67.2% | 64.2–70.2 |
| Mammography use among women aged 50-74 years | 77.9% | 71.5–83.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 20.0% | 17.3–23.0 |
| Current cigarette smoking among adults | 12.9% | 10.4–15.6 |
| No leisure-time physical activity among adults | 21.2% | 17.6–25.1 |
| Short sleep duration among adults | 36.4% | 32.0–41.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 14.9% | 12.5–17.7 |
| Frequent mental distress among adults | 16.7% | 14.6–18.9 |
| Frequent physical distress among adults | 12.6% | 10.9–14.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.9% | 10.9–14.9 |
| Any disability among adults | 26.0% | 22.2–29.9 |
| Hearing disability among adults | 5.1% | 4.4–5.8 |
| Independent living disability among adults | 7.3% | 6.1–8.5 |
| Mobility disability among adults | 11.1% | 9.2–13.2 |
| Self-care disability among adults | 3.2% | 2.7–3.7 |
| Vision disability among adults | 3.9% | 3.4–4.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.5% | 20.8–28.2 |
| Food insecurity in the past 12 months among adults | 11.8% | 9.3–14.6 |
| Received food stamps in the past 12 months among adults | 10.0% | 7.7–12.5 |
| Housing insecurity in the past 12 months among adults | 11.1% | 9.1–13.2 |
| Lack of reliable transportation in the past 12 months among adults | 7.0% | 5.9–8.2 |
| Loneliness among adults | 36.2% | 31.5–40.8 |
| Utility services shut-off threat in the past 12 months among adults | 6.6% | 5.4–7.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 0.5% | 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+) | 0.0% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 65.6% | 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 | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 100.0% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 0.0% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 100.0% | 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 | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 44.7% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 35.3% | 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 | — | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | — | $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 | 78.3 yr ± 1.44 | 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 1.44 years of 78.3, 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