ZIP code
12307
in Schenectady, New YorkPopulation 7,050
32.07/ 100
Ranked #30,299 of 32,066 US ZIPs (bottom 5.6%)
Ranked #1,727 of 1,730 New York ZIPs (bottom 0.2%)
Ranked #114 of 114 Albany-Schenectady-Troy, NY ZIPs (bottom 0.9%)
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.
Short sleep
50.2%
in the top 0.3% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Self-care disability
8.5%
in the top 2.0% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›Tooth loss
32.5%
in the top 2.0% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Vision disability
11.5%
in the top 2.7% nationally
Lower is healthier
ST99thUS97thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Independent-living disability
15.3%
in the top 2.3% nationally
Lower is healthier
ST99thUS98thDefinition & 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 ›Households without a vehicle
48%
in the top 1.1% nationally
Lower is healthier
ST94thUS99thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Housing-cost burden
60.3%
in the top 1.2% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Housing insecurity
31.4%
in the top 1.2% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Utility shut-off threat
22.3%
in the top 1.6% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Lack of transportation
21.3%
in the top 1.6% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›The read
ZIP 12307, one of several in Schenectady, New York ranks in the bottom 5.6% nationally (30,299th) and the bottom 0.2% of New York (1,727th).
The weightiest signals in the profile are worth naming up front: modeled short sleep registers in the top 0.3% nationally, and self-care disability lies in the top 2.0% nationally. Modeled tooth loss is in the top 2.0% nationally, and vision disability registers in the top 2.7% nationally. Modeled independent living disability lies in the top 2.3% nationally, households without a vehicle is in the top 1.1% nationally, and housing-cost burden registers in the top 1.2% nationally. Modeled housing insecurity lies in the top 1.2% nationally, utility shutoff is in the top 1.6% nationally, and transportation registers in the top 1.6% nationally.
Against its neighbors, households without a vehicle runs far higher than the surrounding ZIPs on this measure. The closest ZIP that ranks healthier overall is ZIP 12303, 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
Environmental Hazard
healthier than 63%
14%
Climate / Disaster Risk
healthier than 91%
5%
Healthcare Access
healthier than 87%
5%
Holding it back
Chronic Disease Burden
healthier than 18%
21%
Social Need / SDOH
in the bottom 0.7%
16%
Preventive Care
healthier than 8%
13%
Risk Behavior
healthier than 1%
11%
Mental Health
healthier than 23%
8%
Disability
healthier than 4%
7%
Lifting this score
Climate / Disaster Risk
healthier than 84%
5%
Healthcare Access
healthier than 84%
5%
About typical
Environmental Hazard
healthier than 58%
14%
Holding it back
Chronic Disease Burden
healthier than 2%
21%
Social Need / SDOH
in the bottom 0.3%
16%
Preventive Care
healthier than 1%
13%
Risk Behavior
in the bottom 0.7%
11%
Mental Health
healthier than 2%
8%
Disability
in the bottom 0.5%
7%
Lifting this score
Climate / Disaster Risk
healthier than 84%
5%
Healthcare Access
healthier than 82%
5%
About typical
Environmental Hazard
healthier than 48%
14%
Holding it back
Chronic Disease Burden
in the bottom 0.00%
21%
Social Need / SDOH
in the bottom 0.00%
16%
Preventive Care
healthier than 1%
13%
Risk Behavior
in the bottom 0.00%
11%
Mental Health
healthier than 1%
8%
Disability
in the bottom 0.00%
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 ›
Findings that name this ZIP
One of our published findings lists 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.
Below its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 73.4 ± 3.6 years. The 48 nearest ZIP codes with estimates average 80.2 years — 6.7 years below them.
Ranked #3,621 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.
Nearby
12303
New Yorkshares a border
Score 54.44
Closest healthier
12304
New Yorkshares a border
Score 51.08
Similar health profile
58316
North Dakota98% similar profile
Score 29.38
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 | 26.3% | 23.5–29.4 |
| High blood pressure among adults | 39.0% | 35.2–42.9 |
| Cancer (non-skin) or melanoma among adults | 5.1% | 4.6–5.6 |
| Current asthma among adults | 13.8% | 12.3–15.5 |
| Coronary heart disease among adults | 7.7% | 6.9–8.5 |
| Chronic obstructive pulmonary disease among adults | 10.7% | 9.7–11.9 |
| Depression among adults | 20.6% | 17.6–23.9 |
| Diagnosed diabetes among adults | 16.5% | 14.5–18.5 |
| High cholesterol among adults who have ever been screened | 34.6% | 31.0–38.7 |
| Obesity among adults | 44.5% | 38.1–51.3 |
| Stroke among adults | 5.2% | 4.8–5.6 |
| All teeth lost among adults aged >=65 years | 32.5% | 28.0–37.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 13.9% | 12.0–16.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 74.9% | 72.1–77.5 |
| Visits to doctor for routine checkup within the past year among adults | 78.1% | 74.7–81.3 |
| Cholesterol screening among adults | 82.5% | 80.5–84.5 |
| Colorectal cancer screening among adults aged 45–75 years | 55.2% | 50.1–60.0 |
| Visited dentist or dental clinic in the past year among adults | 41.5% | 38.0–45.0 |
| Mammography use among women aged 50-74 years | 70.5% | 62.4–77.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.9% | 10.7–15.5 |
| Current cigarette smoking among adults | 22.8% | 20.1–25.7 |
| No leisure-time physical activity among adults | 38.0% | 33.3–43.0 |
| Short sleep duration among adults | 50.2% | 44.0–56.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 31.4% | 28.2–34.8 |
| Frequent mental distress among adults | 22.0% | 19.7–24.4 |
| Frequent physical distress among adults | 18.8% | 16.8–21.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 21.1% | 19.0–23.4 |
| Any disability among adults | 40.2% | 35.8–44.7 |
| Hearing disability among adults | 6.5% | 5.8–7.3 |
| Independent living disability among adults | 15.3% | 13.8–16.9 |
| Mobility disability among adults | 21.4% | 19.1–23.9 |
| Self-care disability among adults | 8.5% | 7.8–9.3 |
| Vision disability among adults | 11.5% | 10.5–12.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 34.4% | 30.5–38.6 |
| Food insecurity in the past 12 months among adults | 40.8% | 37.0–44.7 |
| Received food stamps in the past 12 months among adults | 41.6% | 38.3–45.0 |
| Housing insecurity in the past 12 months among adults | 31.4% | 28.3–34.7 |
| Lack of reliable transportation in the past 12 months among adults | 21.3% | 19.3–23.5 |
| Loneliness among adults | 40.2% | 35.5–45.2 |
| Utility services shut-off threat in the past 12 months among adults | 22.3% | 20.0–24.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 44.1% | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 14.2% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 28.6% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 8.9% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 18.0% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (0.0–9.7%) n=1,730 |
| Households without a vehicle | 48.0% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 75.3% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 60.3% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 26.3% | 78.7% (51.7–94.0%) n=32,322 | 80.2% (40.9–94.8%) n=1,730 |
| Crowded housing (>1 per room) | 6.1% | 1.3% (0.0–6.3%) n=32,322 | 1.0% (0.0–6.6%) n=1,730 |
| Foreign-born population | 22.0% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 34.4% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 15.3% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 27.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | $24,758 | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | $104,600 | $222,200 ($100,300–$579,820) n=30,049 | $247,700 ($121,180–$801,380) n=1,629 |
| Median gross rent | $1,106 | $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 | 73.4 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 73.4, 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