13457 ZIP Code — Schuyler Lake, NY
Otsego County, New York
ZIP code 13457 is located in Schuyler Lake, New York, within Otsego County. It covers approximately 1.23 square miles and serves a population of 32 residents. This is a standard ZIP code in the Eastern (ET) timezone, served by area code 607.
32
population
1.23
sq mi land
Standard
ZIP type
Eastern (ET)
timezone
13457 ZIP code map
Cities in ZIP code 13457
Below are the cities the US Postal Service accepts for ZIP code 13457. Using any city not on this list may result in mail delivery delays.
| City | Status |
|---|---|
| Schuyler Lake | Acceptable |
Demographics
updated 05/2026
| Population | |
|---|---|
| Total population | 32 |
| Population density | 26 / sq mi |
| State FIPS | 36 |
| County FIPS | 077 |
| Geography | |
|---|---|
| Land area | 1.23 sq mi |
| Water area | 0.00 sq mi |
| Latitude | 42.7803 |
| Longitude | -75.0286 |
| Timezone | Eastern (ET) |
| Area code | 607 |
Total population by age
Gender
Race & ethnicity
Demographics & statistics
32
Population
26
People per sq mi
60.5
Median age
$0
Median household income
$25,072
Per capita income
$82,500
Median home value
$0
Median monthly rent
43.5%
Home ownership
40.6%
Poverty rate
0.0%
Unemployment
43
Housing units
6.7%
Bachelor's or higher
Age distribution
Male
Female
1
10–14
1
5
45–54
2
4
55–59
2
3
60–64
2
7
65–74
3
1
75–84
1
← Male
Female →
Age summary
| Group | Count | % |
|---|---|---|
| Under 18 | 2 | 6.3% |
| 18 and over | 30 | 93.8% |
| 65 and over | 12 | 37.5% |
| Median age | 60.5 years | |
Race & ethnicity
White
100%
| Group | Count | % |
|---|---|---|
| White | 32 | 100% |
Household income
Under $10k
43.5%
$25k–$35k
8.7%
$35k–$50k
21.7%
$50k–$75k
17.4%
$100k–$150k
8.7%
| Range | % of households |
|---|---|
| Under $10k | 43.5% |
| $25k–$35k | 8.7% |
| $35k–$50k | 21.7% |
| $50k–$75k | 17.4% |
| $100k–$150k | 8.7% |
| Median income | $0 |
Housing
Home values
Under $50k
20.0%
$50k–$100k
60.0%
$100k–$150k
20.0%
Housing overview
| Metric | Value |
|---|---|
| Median home value | $82,500 |
| Median rent / month | $0 |
| Owner occupied | 43.5% |
| Renter occupied | 56.5% |
| Vacant | 58.9% |
| Single-family detached | 82.1% |
| Large apartment buildings | 0.0% |
| Mobile homes | 17.9% |
| Median rooms | 6.1 |
| Avg household size (owned) | 1.60 |
Year built
| Era | % |
|---|---|
| 2020 or later | 0.0% |
| 2010–2019 | 0.0% |
| 2000–2009 | 0.0% |
| 1990–1999 | 0.0% |
| 1980–1989 | 0.0% |
| 1970–1979 | 0.0% |
| 1960–1969 | 17.9% |
| 1950–1959 | 0.0% |
| 1940–1949 | 0.0% |
| 1939 or earlier | 82.1% |
Bedrooms
| Size | % of units |
|---|---|
| No bedroom (studio) | 3.6% |
| 1 bedroom | 0.0% |
| 2 bedrooms | 21.4% |
| 3 bedrooms | 39.3% |
| 4 bedrooms | 25.0% |
| 5+ bedrooms | 10.7% |
Vehicles per household
| Vehicles | % of households |
|---|---|
| No vehicle | 52.2% |
| 1 vehicle | 17.4% |
| 2 vehicles | 21.7% |
| 3 or more | 8.7% |
Heating fuel
| Fuel type | % |
|---|---|
| Utility gas | 52.2% |
| Fuel oil | 39.1% |
| Wood | 8.7% |
Households & families
| Household type | Count | % |
|---|---|---|
| Married-couple family | 4 | 17.4% |
| Cohabiting couple | 3 | 13.0% |
| Male householder, no spouse | 12 | 52.2% |
| Female householder, no spouse | 4 | 17.4% |
| Households with children under 18 | 2 | 8.7% |
| Households with seniors (65+) | 12 | 52.2% |
| Average household size | 1.39 | |
Marital status
| Status | Male | Female |
|---|---|---|
| Never married | 52.6% | 0.0% |
| Married | 21.1% | 36.4% |
| Separated | 15.8% | 0.0% |
| Widowed | 10.5% | 27.3% |
| Divorced | 0.0% | 36.4% |
Education
Less than 9th grade
40.0%
Some HS, no diploma
0.0%
HS graduate
46.7%
Some college, no degree
0.0%
Associate's degree
6.7%
Bachelor's degree
6.7%
Graduate / professional
0.0%
| Metric | % |
|---|---|
| HS diploma or higher | 60.0% |
| Bachelor's or higher | 6.7% |
School enrollment (ages 3–17)
| Type | Count | % |
|---|---|---|
| Nursery / preschool | 0 | 0.0% |
| Kindergarten | 0 | 0.0% |
| Elementary school | 2 | 100.0% |
| High school | 0 | 0.0% |
| College / grad school | 0 | 0.0% |
Employment
Industry of employment
Retail trade
46.7%
Construction
26.7%
Professional & management
13.3%
Education & healthcare
13.3%
Occupation
| Category | % |
|---|---|
| Management, business & arts | 13.3% |
| Service | 26.7% |
| Sales & office | 13.3% |
| Natural resources & construction | 0.0% |
| Production & transportation | 46.7% |
Employment type
| Type | % |
|---|---|
| Private sector | 86.7% |
| Government | 13.3% |
| Self-employed | 0.0% |
| Unpaid family workers | 0.0% |
Commute
| Method | % |
|---|---|
| Drive alone | 100.0% |
| Carpool | 0.0% |
| Public transit | 0.0% |
| Walk | 0.0% |
| Work from home | 0.0% |
| Other means | 0.0% |
| Avg commute (minutes) | 21.0 |
Poverty
All people
40.6%
Under 18 years
0.0%
18 and over
43.3%
Married-couple families
0.0%
Female-led households
0.0%
Income support
| Source | % of households |
|---|---|
| Social Security | 52.2% |
| Retirement income | 8.7% |
| Supplemental Security | 0.0% |
| Cash public assistance | 0.0% |
| Food stamps / SNAP | 56.5% |
Health indicators
| Condition | % |
|---|---|
| Obesity | 0.0% |
| High blood pressure | 0.0% |
| High cholesterol | 0.0% |
| Diabetes | 0.0% |
| Heart disease | 0.0% |
| Stroke | 0.0% |
| Asthma | 0.0% |
| Arthritis | 0.0% |
| Kidney disease | 0.0% |
| Pulmonary disease | 0.0% |
| Cancer | 0.0% |
| Behavior / access | % |
|---|---|
| Smoking | 0.0% |
| Binge drinking | 0.0% |
| No physical activity | 0.0% |
| Less than 7 hrs sleep | 0.0% |
| Depression | 0.0% |
| Fair or poor health | 0.0% |
| Poor mental health | 0.0% |
| Poor physical health | 0.0% |
| No health insurance | 0.0% |
| Visited doctor (checkup) | 0.0% |
| Visited dentist | 0.0% |
| Cholesterol screening | 0.0% |
| Teeth loss | 0.0% |
Veterans & disability
| Veterans | Count | % |
|---|---|---|
| Civilian veterans | 3 | 10.0% |
| Disability | % |
|---|---|
| Any disability | 9.4% |
| Under 18 | 0.0% |
| 18–64 years | 16.7% |
| 65 and over | 0.0% |
Health insurance coverage
| Type | % |
|---|---|
| Private insurance | 50.0% |
| Public insurance | 56.3% |
| No insurance | 0.0% |
| Uninsured under 19 | 0.0% |
Language & origin
Language spoken at home (age 5+)
| Language | Count | % |
|---|---|---|
| English only | 32 | 100.0% |
| Spanish | 0 | 0.0% |
| Other Indo-European | 0 | 0.0% |
| Asian & Pacific Islander | 0 | 0.0% |
| Other languages | 0 | 0.0% |
Place of birth & citizenship
| Origin | Count | % |
|---|---|---|
| Native born (US) | 32 | 100.0% |
| Born in same state | 32 | 100.0% |
| Born in different state | 30 | 93.8% |
| Foreign born | 0 | 0.0% |
| Naturalized citizen | 0 | 0.0% |
| Not a US citizen | 0 | 0.0% |
Ancestry
| Ancestry | Count | % |
|---|---|---|
| French | 17 | 53.1% |
| English | 7 | 21.9% |
| Ancestry | Count | % |
|---|---|---|
| Arab | 5 | 15.6% |
| Italian | 3 | 9.4% |
Technology access
| Metric | % of households |
|---|---|
| Computer access | 71.9% |
| Internet access | 56.5% |
Source: U.S. Census Bureau, American Community Survey 2025 estimates.
Frequently asked questions about ZIP code 13457
What city is ZIP code 13457 in?
ZIP code 13457 is primarily assigned to Schuyler Lake, New York.
What county is ZIP code 13457 in?
ZIP code 13457 falls within Otsego County, New York.
What is the poverty rate in ZIP code 13457?
41% of residents in ZIP code 13457 live below the poverty line, above the national average.
Does ZIP code 13457 have an older population?
38% of residents in ZIP code 13457 are 65 or older, above the national average of ~17%.
Does ZIP code 13457 have a large retiree population?
52% of households in ZIP code 13457 receive Social Security income, suggesting a significant retiree or disability population.
How educated is the population of ZIP code 13457?
7% of residents hold a bachelor's degree or higher — below the national average of ~33%, consistent with a trades-oriented local economy.
What timezone is ZIP code 13457 in?
ZIP code 13457 observes the EST timezone.