ZIP code
12305
in Schenectady, New YorkPopulation 7,356
46.22/ 100
Ranked #21,080 of 32,066 US ZIPs (bottom 34%)
Ranked #1,610 of 1,730 New York ZIPs (bottom 7.0%)
Ranked #108 of 114 Albany-Schenectady-Troy, NY ZIPs (bottom 5.3%)
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.
Homeownership rate
14.6%
in the bottom 1.6% nationally
Higher is healthier
ST3rdUS2ndDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Recreation access
1.8 per 1,000 residents
in the top 2.1% nationally
Higher is healthier
ST97thUS98thDefinition & source ›
The number of places for physical recreation — gyms, sports, and fitness venues — inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Transportation noise
18%
in the top 3.1% nationally
Lower is healthier
ST93rdUS97thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Loud transportation noise
3.3%
in the top 3.2% nationally
Lower is healthier
ST96thUS97thDefinition & 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
23.9%
in the top 3.4% nationally
Lower is healthier
ST88thUS97thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Outer-floodplain exposure
11.3%
in the top 3.4% nationally
Lower is healthier
ST96thUS97thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 0.2%-annual-chance flood band — the “500-year” zone, a lower but real 1-in-500 yearly chance.
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 ›Floodplain exposure
44.9%
in the top 5.1% nationally
Lower is healthier
ST97thUS95thDefinition & 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 ›Transit access
5 per 1,000 residents
in the top 5.2% nationally
Higher is healthier
ST94thUS95thDefinition & source ›
The number of public-transit stops inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Slow internet speeds
2.1%
in the top 5.5% nationally
Lower is healthier
ST97thUS95thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Child-care access
0.66 per 1,000 residents
in the top 5.9% nationally
Higher is healthier
ST95thUS94thDefinition & source ›
The number of child day-care services inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Cross-source signals
Combined exposures in this ZIP
More than one environmental exposure stands out in this ZIP. Each is established independently and shown on its own above; they are grouped here for context — not because one causes the other.
This area ranks among the highest 10% of US ZIP codes for both flood exposure and the share of households without a vehicle.
See the full flooding, evacuation & humid-heat analysis →
The read
In its overall standing, ZIP 12305, one of several in Schenectady, New York lands in the bottom 34% nationally (21,080th) and the bottom 7.0% of New York (1,610th).
Reading across the data, the real pressures come first: homeownership settles in the bottom 1.6% nationally, modeled transportation noise is in the top 3.1% nationally, and modeled loud transportation noise sits in the top 3.2% nationally. Households without a vehicle lands in the top 3.4% nationally, outer-floodplain exposure lies in the top 3.4% nationally, and floodplain exposure stands in the top 5.1% nationally. Slow internet speeds rests in the top 5.5% nationally. More encouragingly, recreation registers in the top 2.1% nationally, and transit resides in the top 5.2% nationally. Childcare settles in the top 5.9% nationally.
Against the wider neighborhood, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. Put simply, transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. 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. Outer-floodplain exposure is land with a lower but real 1-in-500 chance of flooding each year, nicknamed the "500-year floodplain". On the overall standing, ZIP 12302, just across the boundary, ranks healthier.
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
Healthcare Access
healthier than 78%
5%
About typical
Chronic Disease Burden
healthier than 59%
21%
Mental Health
healthier than 49%
8%
Holding it back
Social Need / SDOH
healthier than 10%
16%
Environmental Hazard
healthier than 23%
14%
Preventive Care
healthier than 35%
13%
Risk Behavior
healthier than 26%
11%
Disability
healthier than 32%
7%
Climate / Disaster Risk
healthier than 16%
5%
Lifting this score
Healthcare Access
healthier than 72%
5%
Holding it back
Chronic Disease Burden
healthier than 35%
21%
Social Need / SDOH
healthier than 9%
16%
Environmental Hazard
healthier than 13%
14%
Preventive Care
healthier than 10%
13%
Risk Behavior
healthier than 16%
11%
Mental Health
healthier than 11%
8%
Disability
healthier than 9%
7%
Climate / Disaster Risk
healthier than 3%
5%
Lifting this score
Healthcare Access
healthier than 72%
5%
About typical
Chronic Disease Burden
healthier than 40%
21%
Holding it back
Social Need / SDOH
healthier than 4%
16%
Environmental Hazard
healthier than 10%
14%
Preventive Care
healthier than 7%
13%
Risk Behavior
healthier than 10%
11%
Mental Health
healthier than 13%
8%
Disability
healthier than 6%
7%
Climate / Disaster Risk
healthier than 3%
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
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 75.9 ± 1.9 years. The 48 nearest ZIP codes with estimates average 80.4 years — 4.4 years below them.
Ranked #3,193 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
12302
New Yorkshares a border
Score 63.38
Closest healthier
12303
New Yorkshares a border
Score 54.44
Similar health profile
12202
New York93% similar profile
Score 43.44
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 | 24.6% | 22.0–27.5 |
| High blood pressure among adults | 33.7% | 30.3–37.3 |
| Cancer (non-skin) or melanoma among adults | 7.3% | 6.6–8.1 |
| Current asthma among adults | 11.8% | 10.5–13.3 |
| Coronary heart disease among adults | 6.9% | 6.1–7.6 |
| Chronic obstructive pulmonary disease among adults | 8.0% | 7.0–9.1 |
| Depression among adults | 20.6% | 17.7–24.0 |
| Diagnosed diabetes among adults | 11.5% | 10.0–13.1 |
| High cholesterol among adults who have ever been screened | 33.3% | 29.8–37.1 |
| Obesity among adults | 37.2% | 31.4–43.8 |
| Stroke among adults | 4.0% | 3.6–4.4 |
| All teeth lost among adults aged >=65 years | 16.7% | 13.8–19.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.6% | 7.2–10.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 74.9% | 72.3–77.3 |
| Visits to doctor for routine checkup within the past year among adults | 78.0% | 74.5–81.2 |
| Cholesterol screening among adults | 84.2% | 82.1–86.2 |
| Colorectal cancer screening among adults aged 45–75 years | 65.9% | 61.1–70.3 |
| Visited dentist or dental clinic in the past year among adults | 57.3% | 53.7–60.6 |
| Mammography use among women aged 50-74 years | 74.9% | 67.6–81.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.4% | 13.7–19.5 |
| Current cigarette smoking among adults | 14.9% | 13.0–17.0 |
| No leisure-time physical activity among adults | 27.2% | 23.3–31.4 |
| Short sleep duration among adults | 41.2% | 35.4–46.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.2% | 18.6–23.9 |
| Frequent mental distress among adults | 18.7% | 16.7–21.0 |
| Frequent physical distress among adults | 14.4% | 12.7–16.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.2% | 14.3–18.2 |
| Any disability among adults | 32.9% | 28.9–37.0 |
| Hearing disability among adults | 6.6% | 5.8–7.5 |
| Independent living disability among adults | 10.9% | 9.6–12.2 |
| Mobility disability among adults | 15.5% | 13.5–17.5 |
| Self-care disability among adults | 5.3% | 4.8–5.8 |
| Vision disability among adults | 7.1% | 6.5–7.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 26.4% | 22.8–30.1 |
| Food insecurity in the past 12 months among adults | 22.8% | 20.0–25.7 |
| Received food stamps in the past 12 months among adults | 22.8% | 20.3–25.5 |
| Housing insecurity in the past 12 months among adults | 18.2% | 16.0–20.6 |
| Lack of reliable transportation in the past 12 months among adults | 12.8% | 11.5–14.4 |
| Loneliness among adults | 36.3% | 31.5–41.3 |
| Utility services shut-off threat in the past 12 months among adults | 12.6% | 11.1–14.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 18.7% | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 5.7% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 11.4% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 39.5% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 6.7% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (0.0–9.7%) n=1,730 |
| Households without a vehicle | 23.9% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 82.6% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 39.7% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 14.6% | 78.7% (51.7–94.0%) n=32,322 | 80.2% (40.9–94.8%) n=1,730 |
| Crowded housing (>1 per room) | 1.2% | 1.3% (0.0–6.3%) n=32,322 | 1.0% (0.0–6.6%) n=1,730 |
| Foreign-born population | 14.2% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 55.1% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 13.0% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 35.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | $53,326 | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | $217,500 | $222,200 ($100,300–$579,820) n=30,049 | $247,700 ($121,180–$801,380) n=1,629 |
| Median gross rent | $1,142 | $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 | 75.9 yr ± 0.96 | 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 0.96 years of 75.9, 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