44809 ZIP Code — Bascom, OH
Seneca County, Ohio
ZIP code 44809 is located in Bascom, Ohio, within Seneca County. It covers approximately 0.49 square miles and serves a population of 106 residents. This is a standard ZIP code in the Eastern (ET) timezone, served by area code 419/567.
106
population
0.49
sq mi land
Standard
ZIP type
Eastern (ET)
timezone
44809 ZIP code map
Cities in ZIP code 44809
Below are the cities the US Postal Service accepts for ZIP code 44809. Using any city not on this list may result in mail delivery delays.
| City | Status |
|---|---|
| Bascom | Acceptable |
Demographics
updated 05/2026
| Population | |
|---|---|
| Total population | 106 |
| Population density | 216 / sq mi |
| State FIPS | 39 |
| County FIPS | 147 |
| Geography | |
|---|---|
| Land area | 0.49 sq mi |
| Water area | 0.00 sq mi |
| Latitude | 41.1324 |
| Longitude | -83.2757 |
| Timezone | Eastern (ET) |
| Area code | 419/567 |
Total population by age
Gender
Race & ethnicity
Economics
updated 05/2026
Household income
| Income range | This ZIP | County avg | State avg |
|---|---|---|---|
| Under $50k | 71.2% | 49.1% | 43.3% |
| $50k – $100k | 20.2% | 33.4% | 31.4% |
| $100k – $200k | 8.7% | 15.8% | 20.0% |
| Over $200k | 0.0% | 1.7% | 5.2% |
Demographics & statistics
106
Population
216
People per sq mi
32.9
Median age
$0
Median household income
$23,011
Per capita income
$0
Median home value
$0
Median monthly rent
48.0%
Home ownership
7.5%
Poverty rate
0.0%
Unemployment
24
Housing units
18.6%
Bachelor's or higher
Age distribution
Male
Female
5
15–19
15
9
25–34
29
4
60–64
12
4
65–74
12
4
75–84
12
← Male
Female →
Age summary
| Group | Count | % |
|---|---|---|
| Under 18 | 20 | 18.9% |
| 18 and over | 86 | 81.1% |
| 65 and over | 32 | 30.2% |
| Median age | 32.9 years | |
Race & ethnicity
White
100%
| Group | Count | % |
|---|---|---|
| White | 106 | 100% |
Household income
| Income range | This ZIP | County avg | State avg |
|---|---|---|---|
| Under $50k | 71.2% | 49.1% | 43.3% |
| $50k – $100k | 20.2% | 33.4% | 31.4% |
| $100k – $200k | 8.7% | 15.8% | 20.0% |
| Over $200k | 0.0% | 1.7% | 5.2% |
$10k–$15k
16.0%
$25k–$35k
36.0%
$50k–$75k
16.0%
$75k–$100k
32.0%
| Range | % of households |
|---|---|
| $10k–$15k | 16.0% |
| $25k–$35k | 36.0% |
| $50k–$75k | 16.0% |
| $75k–$100k | 32.0% |
| Median income | $0 |
Housing
Home values
$100k–$150k
66.7%
$150k–$200k
33.3%
Housing overview
| Metric | Value |
|---|---|
| Median home value | $0 |
| Median rent / month | $0 |
| Owner occupied | 48.0% |
| Renter occupied | 52.0% |
| Vacant | 0.0% |
| Single-family detached | 100.0% |
| Large apartment buildings | 0.0% |
| Mobile homes | 0.0% |
| Median rooms | 5.0 |
| Avg household size (owned) | 2.50 |
Year built
| Era | % |
|---|---|
| 2020 or later | 0.0% |
| 2010–2019 | 0.0% |
| 2000–2009 | 0.0% |
| 1990–1999 | 0.0% |
| 1980–1989 | 32.0% |
| 1970–1979 | 0.0% |
| 1960–1969 | 52.0% |
| 1950–1959 | 0.0% |
| 1940–1949 | 0.0% |
| 1939 or earlier | 16.0% |
Bedrooms
| Size | % of units |
|---|---|
| No bedroom (studio) | 0.0% |
| 1 bedroom | 0.0% |
| 2 bedrooms | 68.0% |
| 3 bedrooms | 32.0% |
| 4 bedrooms | 0.0% |
| 5+ bedrooms | 0.0% |
Vehicles per household
| Vehicles | % of households |
|---|---|
| No vehicle | 16.0% |
| 1 vehicle | 52.0% |
| 2 vehicles | 0.0% |
| 3 or more | 32.0% |
Heating fuel
| Fuel type | % |
|---|---|
| Utility gas | 52.0% |
| Electricity | 48.0% |
Households & families
| Household type | Count | % |
|---|---|---|
| Married-couple family | 16 | 32.0% |
| Cohabiting couple | 0 | 0.0% |
| Male householder, no spouse | 8 | 16.0% |
| Female householder, no spouse | 26 | 52.0% |
| Households with children under 18 | 18 | 36.0% |
| Households with seniors (65+) | 32 | 64.0% |
| Average household size | 2.12 | |
Marital status
| Status | Male | Female |
|---|---|---|
| Never married | 33.3% | 70.7% |
| Married | 66.7% | 19.5% |
| Separated | 0.0% | 0.0% |
| Widowed | 0.0% | 9.8% |
| Divorced | 0.0% | 0.0% |
Education
Less than 9th grade
9.3%
Some HS, no diploma
0.0%
HS graduate
9.3%
Some college, no degree
41.9%
Associate's degree
20.9%
Bachelor's degree
18.6%
Graduate / professional
0.0%
| Metric | % |
|---|---|
| HS diploma or higher | 90.7% |
| Bachelor's or higher | 18.6% |
School enrollment (ages 3–17)
| Type | Count | % |
|---|---|---|
| Nursery / preschool | 0 | 0.0% |
| Kindergarten | 0 | 0.0% |
| Elementary school | 0 | 0.0% |
| High school | 20 | 55.6% |
| College / grad school | 16 | 44.4% |
Employment
Industry of employment
Education & healthcare
54.3%
Arts, food & hospitality
45.7%
Occupation
| Category | % |
|---|---|
| Management, business & arts | 22.9% |
| Service | 51.4% |
| Sales & office | 25.7% |
| Natural resources & construction | 0.0% |
| Production & transportation | 0.0% |
Employment type
| Type | % |
|---|---|
| Private sector | 100.0% |
| Government | 0.0% |
| 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) | 0.0 |
Poverty
All people
7.5%
Under 18 years
0.0%
18 and over
9.3%
Married-couple families
0.0%
Female-led households
0.0%
Income support
| Source | % of households |
|---|---|
| Social Security | 48.0% |
| Retirement income | 48.0% |
| Supplemental Security | 0.0% |
| Cash public assistance | 0.0% |
| Food stamps / SNAP | 0.0% |
Health indicators
| Condition | % |
|---|---|
| Obesity | 36.5% |
| High blood pressure | 33.4% |
| High cholesterol | 30.4% |
| Diabetes | 10.2% |
| Heart disease | 6.7% |
| Stroke | 2.9% |
| Asthma | 9.4% |
| Arthritis | 25.8% |
| Kidney disease | 2.7% |
| Pulmonary disease | 8.1% |
| Cancer | 6.7% |
| Behavior / access | % |
|---|---|
| Smoking | 22.8% |
| Binge drinking | 19.2% |
| No physical activity | 26.6% |
| Less than 7 hrs sleep | 36.7% |
| Depression | 22.6% |
| Fair or poor health | 13.4% |
| Poor mental health | 16.1% |
| Poor physical health | 10.0% |
| No health insurance | 12.0% |
| Visited doctor (checkup) | 74.5% |
| Visited dentist | 64.0% |
| Cholesterol screening | 88.3% |
| Teeth loss | 14.2% |
Veterans & disability
| Veterans | Count | % |
|---|---|---|
| Civilian veterans | 0 | 0.0% |
| Disability | % |
|---|---|
| Any disability | 7.5% |
| Under 18 | 0.0% |
| 18–64 years | 0.0% |
| 65 and over | 25.0% |
Health insurance coverage
| Type | % |
|---|---|
| Private insurance | 84.9% |
| Public insurance | 30.2% |
| No insurance | 0.0% |
| Uninsured under 19 | 0.0% |
Language & origin
Language spoken at home (age 5+)
| Language | Count | % |
|---|---|---|
| English only | 106 | 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) | 106 | 100.0% |
| Born in same state | 106 | 100.0% |
| Born in different state | 106 | 100.0% |
| Foreign born | 0 | 0.0% |
| Naturalized citizen | 0 | 0.0% |
| Not a US citizen | 0 | 0.0% |
Technology access
| Metric | % of households |
|---|---|
| Computer access | 47.2% |
| Internet access | 84.0% |
Source: U.S. Census Bureau, American Community Survey 2025 estimates.
Frequently asked questions about ZIP code 44809
What city is ZIP code 44809 in?
ZIP code 44809 is primarily assigned to Bascom, Ohio.
What county is ZIP code 44809 in?
ZIP code 44809 falls within Seneca County, Ohio.
Does ZIP code 44809 have an older population?
30% of residents in ZIP code 44809 are 65 or older, above the national average of ~17%.
Does ZIP code 44809 have a large retiree population?
48% of households in ZIP code 44809 receive Social Security income, suggesting a significant retiree or disability population.
What is the population of ZIP code 44809?
ZIP code 44809 has an estimated population of 106 residents, with a density of 215 people per square mile.
What timezone is ZIP code 44809 in?
ZIP code 44809 observes the EST timezone.