ZIP code
12137
in Pattersonville, New YorkPopulation 2,077
58.37/ 100
Ranked #6,089 of 32,066 US ZIPs (top 19%)
Ranked #749 of 1,730 New York ZIPs (top 43%)
Ranked #57 of 114 Albany-Schenectady-Troy, NY ZIPs (top 50%)
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.
Crowded housing
10.1%
in the top 4.6% nationally
Lower is healthier
ST95thUS95thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Loud transportation noise
2.4%
in the top 5.7% nationally
Lower is healthier
ST94thUS94thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 65 decibels — around the volume of normal conversation.
Full methodology ›Households without a vehicle
16.7%
in the top 6.1% nationally
Lower is healthier
ST84thUS94thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Floodplain exposure
0.52%
in the bottom 9.8% nationally
Lower is healthier
ST16thUS10thDefinition & 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 ›Colon-cancer screening
72.3%
in the top 9.5% nationally
Higher is healthier
ST76thUS91stDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Uninsured (under 65)
4.8%
in the bottom 5.3% nationally
Lower is healthier
ST22ndUS5thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Fatal road crashes
24.1 per 100,000 residents per year
in the top 20% nationally
Lower is healthier
ST95thUS80thDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
Full methodology ›The read
Pattersonville, New York (ZIP 12137), by its overall standing, sits in the top 19% healthiest ZIPs nationally (6,089th) and the top 43% of New York (749th).
Several good marks anchor the profile and deserve first mention: modeled extreme heat lands at the national minimum, shared with about 19% of ZIPs. Floodplain exposure is in the bottom 9.8% nationally, modeled colon screening resides in the top 9.5% nationally, and home broadband subscription rests in the top 15% nationally. Unemployment lies in the bottom 15% nationally, and modeled uninsured sits in the bottom 5.3% nationally. Modeled cognitive disability settles in the bottom 14.4% nationally. By contrast, crowded housing registers in the top 4.6% nationally, and modeled loud transportation noise stands in the top 5.7% nationally. Households without a vehicle lands in the top 6.1% nationally.
Defined in plain terms, loud transportation noise is the modeled share of an area exposed to road, rail, and air noise at or above 65 decibels, near conversation volume. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". The nearest ZIP ranking healthier overall is ZIP 12150, 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 64%
21%
Preventive Care
healthier than 90%
13%
Mental Health
healthier than 77%
8%
Disability
healthier than 82%
7%
Climate / Disaster Risk
healthier than 93%
5%
About typical
Social Need / SDOH
healthier than 44%
16%
Environmental Hazard
healthier than 51%
14%
Risk Behavior
healthier than 56%
11%
Healthcare Access
healthier than 50%
5%
Nothing measured is holding this score back.
Lifting this score
Preventive Care
healthier than 61%
13%
Climate / Disaster Risk
healthier than 89%
5%
About typical
Chronic Disease Burden
healthier than 41%
21%
Environmental Hazard
healthier than 43%
14%
Risk Behavior
healthier than 45%
11%
Disability
healthier than 59%
7%
Holding it back
Social Need / SDOH
healthier than 40%
16%
Mental Health
healthier than 38%
8%
Healthcare Access
healthier than 39%
5%
Lifting this score
Disability
healthier than 64%
7%
Climate / Disaster Risk
healthier than 88%
5%
About typical
Chronic Disease Burden
healthier than 52%
21%
Environmental Hazard
healthier than 42%
14%
Preventive Care
healthier than 57%
13%
Risk Behavior
healthier than 52%
11%
Mental Health
healthier than 58%
8%
Healthcare Access
healthier than 58%
5%
Holding it back
Social Need / SDOH
healthier than 36%
16%
“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
12010
New Yorkshares a border
Score 51.66
Closest healthier
12150
New Yorkshares a border
Score 59.21
Similar health profile
12173
New York100% similar profile
Score 56.48
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 | 28.1% | 25.4–30.8 |
| High blood pressure among adults | 33.8% | 30.6–37.2 |
| Cancer (non-skin) or melanoma among adults | 9.7% | 9.0–10.6 |
| Current asthma among adults | 11.1% | 10.0–12.3 |
| Coronary heart disease among adults | 6.5% | 5.9–7.2 |
| Chronic obstructive pulmonary disease among adults | 6.8% | 6.0–7.6 |
| Depression among adults | 20.4% | 17.9–23.2 |
| Diagnosed diabetes among adults | 10.0% | 8.9–11.4 |
| High cholesterol among adults who have ever been screened | 37.9% | 34.5–41.4 |
| Obesity among adults | 34.6% | 29.5–40.1 |
| Stroke among adults | 3.3% | 3.0–3.6 |
| All teeth lost among adults aged >=65 years | 11.0% | 9.1–12.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 4.8% | 4.0–5.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.6% | 76.0–81.0 |
| Visits to doctor for routine checkup within the past year among adults | 80.2% | 77.7–82.8 |
| Cholesterol screening among adults | 90.4% | 89.2–91.5 |
| Colorectal cancer screening among adults aged 45–75 years | 72.3% | 68.3–75.8 |
| Visited dentist or dental clinic in the past year among adults | 66.2% | 63.3–69.0 |
| Mammography use among women aged 50-74 years | 79.0% | 73.4–83.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.4% | 15.1–20.1 |
| Current cigarette smoking among adults | 12.5% | 10.8–14.3 |
| No leisure-time physical activity among adults | 20.7% | 17.8–23.9 |
| Short sleep duration among adults | 38.7% | 34.0–43.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.1% | 13.2–17.1 |
| Frequent mental distress among adults | 15.5% | 14.0–17.2 |
| Frequent physical distress among adults | 12.9% | 11.5–14.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.6% | 10.3–12.9 |
| Any disability among adults | 25.7% | 22.6–29.0 |
| Hearing disability among adults | 6.1% | 5.4–6.8 |
| Independent living disability among adults | 6.9% | 6.2–7.7 |
| Mobility disability among adults | 12.1% | 10.6–13.7 |
| Self-care disability among adults | 3.3% | 3.0–3.7 |
| Vision disability among adults | 3.9% | 3.5–4.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.5% | 19.8–25.5 |
| Food insecurity in the past 12 months among adults | 10.4% | 8.9–12.1 |
| Received food stamps in the past 12 months among adults | 8.9% | 7.6–10.4 |
| Housing insecurity in the past 12 months among adults | 9.6% | 8.2–10.9 |
| Lack of reliable transportation in the past 12 months among adults | 6.2% | 5.4–6.9 |
| Loneliness among adults | 31.5% | 27.9–35.4 |
| Utility services shut-off threat in the past 12 months among adults | 5.9% | 5.1–6.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 16.1% | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 1.7% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 5.1% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 29.6% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 0.4% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (0.0–9.7%) n=1,730 |
| Households without a vehicle | 16.7% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 95.9% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 19.4% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 83.1% | 78.7% (51.7–94.0%) n=32,322 | 80.2% (40.9–94.8%) n=1,730 |
| Crowded housing (>1 per room) | 10.1% | 1.3% (0.0–6.3%) n=32,322 | 1.0% (0.0–6.6%) n=1,730 |
| Foreign-born population | 11.7% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 57.1% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 10.5% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 31.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | $83,879 | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | $271,500 | $222,200 ($100,300–$579,820) n=30,049 | $247,700 ($121,180–$801,380) n=1,629 |
| Median gross rent | $3,501 | $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 | 80.9 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 80.9, 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