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ZipVitals

ZIP code

12309

in Schenectady, New YorkPopulation 33,246

68.30/ 100

Ranked #945 of 32,066 US ZIPs (top 3.0%)

Ranked #138 of 1,730 New York ZIPs (top 8.0%)

Ranked #4 of 114 Albany-Schenectady-Troy, NY ZIPs (top 3.6%)

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Robust across all 9 health domains

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.

Cognitive disability

9.1%

in the bottom 2.3% nationally

Lower is healthier

ST9th
US2nd
Definition & source ›

The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.

Full methodology ›

Fair or poor health

12.0%

in the bottom 3.4% nationally

Lower is healthier

ST8th
US3rd
Definition & source ›

The estimated share of adults who rate their own general health as fair or poor.

Full methodology ›

Lack of transportation

5.0%

in the bottom 7.6% nationally

Lower is healthier

ST11th
US8th
Definition & source ›

The estimated share of adults who lacked reliable transportation in the past 12 months.

Full methodology ›

Median household income

$125,274

in the top 8.1% nationally

Higher is healthier

ST83rd
US92nd
Definition & source ›

The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.

Full methodology ›

Food insecurity

8.2%

in the bottom 8.3% nationally

Lower is healthier

ST11th
US8th
Definition & source ›

The estimated share of adults who experienced food insecurity in the past 12 months.

Full methodology ›

Colon-cancer screening

73.7%

in the top 5.5% nationally

Higher is healthier

ST87th
US95th
Definition & source ›

The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.

Full methodology ›

Independent-living disability

5.5%

in the bottom 5.4% nationally

Lower is healthier

ST9th
US5th
Definition & source ›

The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.

Full methodology ›

Mammography

81.2%

in the top 6.1% nationally

Higher is healthier

ST85th
US94th
Definition & source ›

The estimated share of women aged 50–74 who had a mammogram within the past two years.

Full methodology ›

Utility shut-off threat

4.7%

in the bottom 9.7% nationally

Lower is healthier

ST14th
US10th
Definition & source ›

The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.

Full methodology ›

Hearing disability

5.3%

in the bottom 9.0% nationally

Lower is healthier

ST21st
US9th
Definition & source ›

The estimated share of adults who are deaf or have serious difficulty hearing.

Full methodology ›

The read

ZIP 12309, one of several in Schenectady, New York, by its composite score, sits in the top 3.0% healthiest ZIPs nationally (945th) and the top 8.0% of New York (138th).

continue reading

Where the data is kindest to this area, a few readings lead the way: modeled cognitive disability stands in the bottom 2.3% nationally, and fair or poor health registers in the bottom 3.4% nationally. Modeled transportation settles in the bottom 7.6% nationally, and household income sits in the top 8.1% nationally. Modeled food insecurity lies in the bottom 8.3% nationally, colon screening rests in the top 5.5% nationally, and independent living disability resides in the bottom 5.4% nationally. Modeled mammography is in the top 6.1% nationally. Modeled extreme heat lands at the national minimum, shared with about 19% of ZIPs. Modeled utility shutoff stands in the bottom 9.7% nationally.

Next to the surrounding area, park land runs far higher than the surrounding ZIPs on this measure. For anyone unfamiliar, extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. For a healthier comparison close by, see ZIP 12148, 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.

Compare within

Lifting this score

Chronic Disease Burden

healthier than 83%

21%

Social Need / SDOH

healthier than 88%

16%

Environmental Hazard

healthier than 66%

14%

Preventive Care

healthier than 96%

13%

Risk Behavior

healthier than 87%

11%

Mental Health

healthier than 95%

8%

Disability

healthier than 95%

7%

Climate / Disaster Risk

healthier than 68%

5%

Healthcare Access

healthier than 88%

5%

Nothing measured is holding this score back.

Lifting this score

Chronic Disease Burden

healthier than 72%

21%

Social Need / SDOH

healthier than 85%

16%

Environmental Hazard

healthier than 63%

14%

Preventive Care

healthier than 87%

13%

Risk Behavior

healthier than 89%

11%

Mental Health

healthier than 78%

8%

Disability

healthier than 87%

7%

Healthcare Access

healthier than 86%

5%

Holding it back

Climate / Disaster Risk

healthier than 31%

5%

Lifting this score

Chronic Disease Burden

healthier than 90%

21%

Social Need / SDOH

healthier than 96%

16%

Preventive Care

healthier than 87%

13%

Risk Behavior

healthier than 94%

11%

Mental Health

healthier than 99%

8%

Disability

healthier than 96%

7%

Healthcare Access

healthier than 87%

5%

About typical

Environmental Hazard

healthier than 54%

14%

Holding it back

Climate / Disaster Risk

healthier than 22%

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 ›

Findings that name this ZIP

2 of our published findings list this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.

  • Above what income predicts

    The ZIP codes that outlive their incomes

    Estimated life expectancy is 82.5 ± 1.2 years. A median household income of $125,274 predicts 81.0 years — 1.5 years above.

    Ranked #1,262 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.

  • Above its nearby ZIPs

    The ZIP codes that outlive their neighbors

    Estimated life expectancy is 82.5 ± 1.2 years. The 48 nearest ZIP codes with estimates average 80.0 years — 2.5 years above them.

    Ranked #1,168 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.

Nearby & similar ZIPs

Editorially selected — see how this ZIP compares to nearby and similar places.

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
MeasureCrude prevalence95% CI
Arthritis among adults25.2%22.7–27.8
High blood pressure among adults31.2%28.2–34.5
Cancer (non-skin) or melanoma among adults9.7%8.9–10.5
Current asthma among adults10.2%9.1–11.2
Coronary heart disease among adults5.4%4.9–6.0
Chronic obstructive pulmonary disease among adults4.9%4.4–5.5
Depression among adults17.9%15.6–20.4
Diagnosed diabetes among adults8.8%7.7–9.9
High cholesterol among adults who have ever been screened37.0%33.5–40.6
Obesity among adults29.4%24.8–34.6
Stroke among adults2.8%2.6–3.0
All teeth lost among adults aged >=65 years7.2%6.0–8.6
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years4.0%3.5–4.6
Taking medicine to control high blood pressure among adults with high blood pressure78.7%76.2–81.1
Visits to doctor for routine checkup within the past year among adults81.3%78.6–83.8
Cholesterol screening among adults91.7%90.7–92.6
Colorectal cancer screening among adults aged 45–75 years73.7%70.3–76.9
Visited dentist or dental clinic in the past year among adults72.8%70.3–75.2
Mammography use among women aged 50-74 years81.2%76.3–85.5
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults16.3%14.0–18.9
Current cigarette smoking among adults8.5%7.4–9.7
No leisure-time physical activity among adults17.6%15.1–20.3
Short sleep duration among adults34.9%30.4–39.6
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults12.0%10.6–13.5
Frequent mental distress among adults12.9%11.5–14.3
Frequent physical distress among adults10.4%9.3–11.6
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults9.1%8.2–10.1
Any disability among adults22.0%19.5–24.8
Hearing disability among adults5.3%4.8–5.9
Independent living disability among adults5.5%5.0–6.1
Mobility disability among adults10.0%8.8–11.2
Self-care disability among adults2.5%2.3–2.8
Vision disability among adults3.2%3.0–3.5
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults21.1%18.5–24.0
Food insecurity in the past 12 months among adults8.2%7.1–9.5
Received food stamps in the past 12 months among adults6.6%5.7–7.5
Housing insecurity in the past 12 months among adults7.8%6.8–8.8
Lack of reliable transportation in the past 12 months among adults5.0%4.5–5.6
Loneliness among adults30.5%26.7–34.6
Utility services shut-off threat in the past 12 months among adults4.7%4.1–5.3
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)NY median (p10–p90)
Poverty rate5.2%10.6% (3.1–25.8%) n=32,3649.5% (2.5–22.6%) n=1,734
Uninsured 18–641.0%9.0% (1.5–24.3%) n=32,2865.0% (0.0–13.1%) n=1,734
No HS diploma (25+)3.6%7.9% (1.8–20.7%) n=32,5057.1% (1.2–17.5%) n=1,743
Bachelor's or higher (25+)61.1%23.3% (9.2–53.6%) n=32,50531.8% (13.9–62.1%) n=1,743
Unemployment rate (16+)3.3%3.9% (0.0–9.8%) n=32,2744.4% (0.0–9.7%) n=1,730
Households without a vehicle4.5%3.9% (0.0–12.5%) n=32,3225.7% (0.0–28.9%) n=1,730
Broadband subscription94.4%89.3% (75.1–97.1%) n=32,32291.5% (81.1–98.3%) n=1,730
Housing cost burden (≥30% income)20.4%23.7% (10.6–40.0%) n=32,32227.2% (14.2–45.5%) n=1,730
Homeownership rate81.7%78.7% (51.7–94.0%) n=32,32280.2% (40.9–94.8%) n=1,730
Crowded housing (>1 per room)1.2%1.3% (0.0–6.3%) n=32,3221.0% (0.0–6.6%) n=1,730
Foreign-born population11.6%2.6% (0.0–18.6%) n=32,5534.8% (0.0–28.7%) n=1,746
Single-parent households49.3%53.6% (37.3–74.1%) n=32,08754.0% (36.7–74.5%) n=1,716
Population 65+18.9%19.4% (10.8–33.6%) n=32,55320.0% (12.0–33.2%) n=1,746
Median age41.3 yr42.2 yr (33.0–56.3) n=32,29243.5 yr (34.6–56.1) n=1,733
Median household income$125,274$72,070 ($46,039–$118,707) n=30,318$81,837 ($55,470–$145,610) n=1,626
Median home value$330,700$222,200 ($100,300–$579,820) n=30,049$247,700 ($121,180–$801,380) n=1,629
Median gross rent$1,499$1,021 ($677–$1,912) n=25,670$1,162 ($782–$2,359) n=1,367
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)NY median (p10–p90)
Life expectancy at birth82.4 yr ± 0.6378.9 yr (74.7–82.8) n=31,30880.9 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 0.63 years of 82.4, and it’s very unlikely to be off by more than twice that.

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