Jefferson County, OH ZIP Codes

Ohio (OH)  ·  23 ZIP codes  ·  22 cities
23
ZIP codes
64,789
population (2021)
-7.1%
pop change since 2010
39081
FIPS code
Jefferson County ZIP code map
About Jefferson County
Jefferson County is located in Ohio and contains 23 ZIP codes across 22 cities and communities. The county's population was 64,789 as of 2021, a decrease of 7.1% from 69,709 in 2010. The timezone is Central Time (observes DST). The Federal Information Processing System (FIPS) code for Jefferson County is 39081.
Population
2021 population64,789
2010 population69,709
Change-7.1%
County details
StateOhio
FIPS code39081
TimezoneCentral
Daylight savingYes
Cities in Jefferson County
Adena Amsterdam Bergholz Bloomingdale Brilliant Dillonvale East Springfield Empire Hammondsville Irondale Mingo Junction Mount Pleasant Piney Fork Rayland Richmond Smithfield Steubenville Stratton Tiltonsville Toronto Wolf Run Yorkville
ZIP codes for Jefferson County, OH (23)
ZIP code City County Map
43901 Adena Jefferson View map
43903 Amsterdam Jefferson View map
43908 Bergholz Jefferson View map
43910 Bloomingdale Jefferson View map
43913 Brilliant Jefferson View map
43917 Dillonvale Jefferson View map
43925 East Springfield Jefferson View map
43926 Empire Jefferson View map
43930 Hammondsville Jefferson View map
43932 Irondale Jefferson View map
43938 Mingo Junction Jefferson View map
43939 Mount Pleasant Jefferson View map
43941 Piney Fork Jefferson View map
43943 Rayland Jefferson View map
43944 Richmond Jefferson View map
43948 Smithfield Jefferson View map
43952 Steubenville Jefferson View map
43953 Steubenville Jefferson View map
43961 Stratton Jefferson View map
43963 Tiltonsville Jefferson View map
43964 Toronto Jefferson View map
43970 Wolf Run Jefferson View map
43971 Yorkville Jefferson View map

Demographics & statistics

66,966
Population
44.1
Median age
$54,578
Median household income
$30,577
Per capita income
$112,775
Median home value
$660
Median monthly rent
74.8%
Home ownership
15.6%
Poverty rate
5.0%
Unemployment
24,105
Housing units
14.7%
Bachelor's or higher

Age distribution

Male Female
1,673
Under 5
1,681
1,491
5–9
1,498
2,080
10–14
2,091
2,187
15–19
2,198
2,238
20–24
2,249
3,642
25–34
3,661
3,506
35–44
3,524
4,237
45–54
4,259
2,318
55–59
2,329
2,689
60–64
2,702
4,289
65–74
4,311
2,195
75–84
2,207
853
85+
858
← Male
Female →

Age summary

GroupCount%
Under 1812,96019.5%
18 and over54,00680.5%
65 and over14,71322.7%
Median age44.1 years

Race & ethnicity

White 89.5%
Black or African American 4.9%
Two or more races 3.2%
Hispanic or Latino 1.2%
Asian 0.6%
Other race 0.6%
American Indian / Alaska Native 0.1%
GroupCount%
White60,63589.5%
Black or African American3,3454.9%
Two or more races2,1713.2%
Hispanic or Latino8071.2%
Asian3960.6%
Other race3760.6%
American Indian / Alaska Native400.1%

Household income

Under $10k 6.5%
$10k–$15k 5.0%
$15k–$25k 9.3%
$25k–$35k 10.0%
$35k–$50k 14.1%
$50k–$75k 21.3%
$75k–$100k 12.0%
$100k–$150k 14.5%
$150k–$200k 3.5%
$200k+ 3.8%
Range% of households
Under $10k6.5%
$10k–$15k5.0%
$15k–$25k9.3%
$25k–$35k10.0%
$35k–$50k14.1%
$50k–$75k21.3%
$75k–$100k12.0%
$100k–$150k14.5%
$150k–$200k3.5%
$200k+3.8%
Median income$54,578

Housing

Home values

Under $50k 14.5%
$50k–$100k 31.0%
$100k–$150k 19.6%
$150k–$200k 14.5%
$200k–$300k 15.3%
$300k–$500k 3.1%
$500k–$1M 1.5%
$1M+ 0.5%

Housing overview

MetricValue
Median home value$112,775
Median rent / month$660
Owner occupied74.8%
Renter occupied25.2%
Vacant16.0%
Single-family detached80.9%
Large apartment buildings1.9%
Mobile homes8.4%
Median rooms5.9
Avg household size (owned)2.41

Year built

Era%
2020 or later0.0%
2010–20192.5%
2000–20095.6%
1990–19996.0%
1980–19897.6%
1970–197915.1%
1960–196912.0%
1950–195916.2%
1940–194910.2%
1939 or earlier24.9%

Bedrooms

Size% of units
No bedroom (studio)1.0%
1 bedroom5.5%
2 bedrooms30.9%
3 bedrooms48.9%
4 bedrooms12.3%
5+ bedrooms1.6%

Vehicles per household

Vehicles% of households
No vehicle6.7%
1 vehicle29.7%
2 vehicles36.2%
3 or more27.4%

Heating fuel

Fuel type%
Utility gas39.2%
Electricity27.2%
Propane / LP gas8.4%
Fuel oil18.4%
Wood5.5%
No fuel used0.3%

Households & families

Household typeCount%
Married-couple family12,49548.7%
Cohabiting couple1,8588.2%
Male householder, no spouse5,36618.2%
Female householder, no spouse7,98224.9%
Households with children under 186,76925.4%
Households with seniors (65+)10,47638.7%
Average household size2.41

Marital status

StatusMaleFemale
Never married28.2%26.4%
Married52.8%48.4%
Separated2.4%1.9%
Widowed4.2%10.2%
Divorced12.4%13.2%

Education

Less than 9th grade 2.1%
Some HS, no diploma 5.2%
HS graduate 46.6%
Some college, no degree 17.9%
Associate's degree 13.5%
Bachelor's degree 9.3%
Graduate / professional 5.4%
Metric%
HS diploma or higher92.7%
Bachelor's or higher14.7%

School enrollment (ages 3–17)

TypeCount%
Nursery / preschool1,0766.5%
Kindergarten6916.6%
Elementary school5,75845.1%
High school3,14125.1%
College / grad school3,92616.7%

Employment

Industry of employment

Education & healthcare 23.0%
Manufacturing 13.9%
Retail trade 11.0%
Transportation & utilities 8.8%
Arts, food & hospitality 8.4%
Professional & management 7.9%
Construction 7.3%
Finance & real estate 5.3%
Public administration 3.7%
Other services 3.7%
Agriculture & mining 3.2%
Wholesale trade 2.3%
Information 1.3%

Occupation

Category%
Management, business & arts29.7%
Service18.8%
Sales & office21.6%
Natural resources & construction11.4%
Production & transportation18.5%

Employment type

Type%
Private sector82.5%
Government12.8%
Self-employed4.4%
Unpaid family workers0.3%

Commute

Method%
Drive alone85.1%
Carpool5.8%
Public transit0.2%
Walk2.9%
Other means0.3%
Avg commute (minutes)26.4

Poverty

All people 15.6%
Under 18 years 25.8%
18 and over 13.0%
Married-couple families 6.3%
Female-led households 33.1%

Income support

Source% of households
Social Security40.0%
Retirement income30.1%
Supplemental Security7.2%
Cash public assistance1.8%
Food stamps / SNAP14.5%

Health indicators

Condition%
High blood pressure38.4%
High cholesterol33.8%
Heart disease8.8%
Stroke4.0%
Asthma10.5%
Arthritis32.8%
Kidney disease3.5%
Pulmonary disease10.9%
Cancer7.6%
Behavior / access%
Binge drinking15.8%
No physical activity30.7%
Less than 7 hrs sleep39.8%
Fair or poor health18.4%
Poor mental health17.3%
Poor physical health12.6%
No health insurance12.6%
Visited doctor (checkup)76.3%
Visited dentist56.8%
Cholesterol screening88.4%
Teeth loss19.4%

Veterans & disability

VeteransCount%
Civilian veterans4,4148.5%
Disability%
Any disability17.9%
Under 186.4%
18–64 years14.7%
65 and over36.6%

Health insurance coverage

Type%
Private insurance62.8%
Public insurance45.5%
Uninsured under 194.7%

Language & origin

Language spoken at home (age 5+)

LanguageCount%
English only63,61294.9%
Spanish3880.5%
Other Indo-European1350.1%
Asian & Pacific Islander880.3%
Other languages1480.1%

Place of birth & citizenship

OriginCount%
Native born (US)66,15599.5%
Born in same state65,94299.1%
Born in different state44,53568.6%
Foreign born2130.3%
Naturalized citizen8110.5%
Not a US citizen59146.4%

Ancestry

AncestryCount%
Italian10,30015.4%
French5,6328.4%
Arab1,8152.7%
Irish1,3582%
English4500.7%
AncestryCount%
German1670.2%
Polish1530.2%
Norwegian1030.2%
Dutch110%

Technology access

Metric% of households
Computer access41.2%
Internet access84.8%

Source: U.S. Census Bureau, American Community Survey 2025 estimates.

Explore more Ohio ZIP codes
All Ohio ZIP codes Adena ZIP codes Amsterdam ZIP codes Bergholz ZIP codes Bloomingdale ZIP codes Brilliant ZIP codes Dillonvale ZIP codes East Springfield ZIP codes Empire ZIP codes Hammondsville ZIP codes Irondale ZIP codes
Need the complete Ohio ZIP code database? Download all OH ZIP codes — Excel, CSV, or Access. Includes lat/lng, county FIPS & timezone.
Download database →