Dodge County, GA ZIP Codes
Georgia (GA) · 5 ZIP codes · 5 cities
5
ZIP codes
19,759
population (2021)
-9.3%
pop change since 2010
13091
FIPS code
Dodge County ZIP code map
About Dodge County
Dodge County is located in Georgia and contains 5 ZIP codes across 5 cities and communities.
The county's population was 19,759 as of 2021,
a decrease of
9.3% from 21,796 in 2010.
The timezone is Central Time (observes DST).
The Federal Information Processing System (FIPS) code for Dodge County is 13091.
| Population | |
|---|---|
| 2021 population | 19,759 |
| 2010 population | 21,796 |
| Change | -9.3% |
| County details | |
|---|---|
| State | Georgia |
| FIPS code | 13091 |
| Timezone | Central |
| Daylight saving | Yes |
Cities in Dodge County
ZIP codes for Dodge County, GA (5)
| ZIP code | City | County | Map |
|---|---|---|---|
| 31011 | Chauncey | Dodge | View map |
| 31012 | Chester | Dodge | View map |
| 31023 | Eastman | Dodge | View map |
| 31060 | Milan | Dodge | View map |
| 31077 | Rhine | Dodge | View map |
Demographics & statistics
23,469
Population
41.5
Median age
$48,220
Median household income
$22,003
Per capita income
$78,567
Median home value
$650
Median monthly rent
76.9%
Home ownership
19.0%
Poverty rate
2.1%
Unemployment
7,773
Housing units
10.8%
Bachelor's or higher
Age distribution
Male
Female
675
Under 5
389
563
5–9
325
988
10–14
570
865
15–19
498
942
20–24
542
2,077
25–34
1,197
1,969
35–44
1,135
1,971
45–54
1,135
1,030
55–59
593
911
60–64
525
1,787
65–74
1,030
910
75–84
525
201
85+
116
← Male
Female →
Age summary
| Group | Count | % |
|---|---|---|
| Under 18 | 4,248 | 16.0% |
| 18 and over | 19,221 | 84.0% |
| 65 and over | 4,569 | 21.7% |
| Median age | 41.5 years | |
Race & ethnicity
White
64.3%
Black or African American
29.7%
Hispanic or Latino
2.2%
Other race
1.8%
Two or more races
1.4%
American Indian / Alaska Native
0.4%
Asian
0.1%
| Group | Count | % |
|---|---|---|
| White | 15,443 | 64.3% |
| Black or African American | 7,139 | 29.7% |
| Hispanic or Latino | 535 | 2.2% |
| Other race | 440 | 1.8% |
| Two or more races | 345 | 1.4% |
| American Indian / Alaska Native | 85 | 0.4% |
| Asian | 17 | 0.1% |
Household income
Under $10k
10.4%
$10k–$15k
6.1%
$15k–$25k
12.7%
$25k–$35k
8.4%
$35k–$50k
11.3%
$50k–$75k
16.1%
$75k–$100k
15.7%
$100k–$150k
12.3%
$150k–$200k
5.4%
$200k+
1.6%
| Range | % of households |
|---|---|
| Under $10k | 10.4% |
| $10k–$15k | 6.1% |
| $15k–$25k | 12.7% |
| $25k–$35k | 8.4% |
| $35k–$50k | 11.3% |
| $50k–$75k | 16.1% |
| $75k–$100k | 15.7% |
| $100k–$150k | 12.3% |
| $150k–$200k | 5.4% |
| $200k+ | 1.6% |
| Median income | $48,220 |
Housing
Home values
Under $50k
23.9%
$50k–$100k
28.9%
$100k–$150k
11.7%
$150k–$200k
10.5%
$200k–$300k
15.3%
$300k–$500k
6.8%
$500k–$1M
2.9%
$1M+
0.1%
Housing overview
| Metric | Value |
|---|---|
| Median home value | $78,567 |
| Median rent / month | $650 |
| Owner occupied | 76.9% |
| Renter occupied | 23.1% |
| Vacant | 32.0% |
| Single-family detached | 62.7% |
| Large apartment buildings | 0.6% |
| Mobile homes | 30.4% |
| Median rooms | 5.8 |
| Avg household size (owned) | 2.89 |
Year built
| Era | % |
|---|---|
| 2020 or later | 0.1% |
| 2010–2019 | 2.3% |
| 2000–2009 | 11.8% |
| 1990–1999 | 17.5% |
| 1980–1989 | 17.5% |
| 1970–1979 | 15.6% |
| 1960–1969 | 13.5% |
| 1950–1959 | 11.1% |
| 1940–1949 | 6.8% |
| 1939 or earlier | 3.8% |
Bedrooms
| Size | % of units |
|---|---|
| No bedroom (studio) | 0.1% |
| 1 bedroom | 4.1% |
| 2 bedrooms | 29.6% |
| 3 bedrooms | 54.3% |
| 4 bedrooms | 8.1% |
| 5+ bedrooms | 3.9% |
Vehicles per household
| Vehicles | % of households |
|---|---|
| No vehicle | 5.2% |
| 1 vehicle | 32.1% |
| 2 vehicles | 36.8% |
| 3 or more | 25.9% |
Heating fuel
| Fuel type | % |
|---|---|
| Utility gas | 8.2% |
| Electricity | 82.8% |
| Propane / LP gas | 7.3% |
| Wood | 1.5% |
| No fuel used | 0.2% |
Households & families
| Household type | Count | % |
|---|---|---|
| Married-couple family | 3,555 | 44.5% |
| Cohabiting couple | 295 | 3.5% |
| Male householder, no spouse | 1,343 | 20.5% |
| Female householder, no spouse | 2,215 | 31.6% |
| Households with children under 18 | 2,202 | 27.1% |
| Households with seniors (65+) | 2,710 | 43.3% |
| Average household size | 2.86 | |
Marital status
| Status | Male | Female |
|---|---|---|
| Never married | 49.0% | 27.5% |
| Married | 34.1% | 42.4% |
| Separated | 1.9% | 2.7% |
| Widowed | 3.5% | 14.3% |
| Divorced | 11.7% | 13.1% |
Education
Less than 9th grade
3.8%
Some HS, no diploma
12.7%
HS graduate
48.2%
Some college, no degree
19.7%
Associate's degree
4.8%
Bachelor's degree
5.8%
Graduate / professional
4.9%
| Metric | % |
|---|---|
| HS diploma or higher | 83.5% |
| Bachelor's or higher | 10.8% |
School enrollment (ages 3–17)
| Type | Count | % |
|---|---|---|
| Nursery / preschool | 311 | 5.6% |
| Kindergarten | 73 | 0.8% |
| Elementary school | 2,109 | 54.6% |
| High school | 1,031 | 25.4% |
| College / grad school | 951 | 13.7% |
Employment
Industry of employment
Manufacturing
23.2%
Education & healthcare
16.1%
Arts, food & hospitality
11.0%
Retail trade
8.6%
Construction
7.3%
Public administration
7.3%
Transportation & utilities
6.0%
Other services
6.0%
Professional & management
4.6%
Agriculture & mining
3.8%
Finance & real estate
3.7%
Wholesale trade
2.3%
Information
0.5%
Occupation
| Category | % |
|---|---|
| Management, business & arts | 20.2% |
| Service | 12.5% |
| Sales & office | 21.2% |
| Natural resources & construction | 20.1% |
| Production & transportation | 26.0% |
Employment type
| Type | % |
|---|---|
| Private sector | 79.3% |
| Government | 14.1% |
| Self-employed | 6.6% |
| Unpaid family workers | 0.1% |
Commute
| Method | % |
|---|---|
| Drive alone | 89.7% |
| Carpool | 7.1% |
| Public transit | 0.2% |
| Walk | 0.5% |
| Other means | 1.0% |
| Avg commute (minutes) | 30.9 |
Poverty
All people
19.0%
Under 18 years
22.9%
18 and over
18.2%
Married-couple families
12.4%
Female-led households
24.4%
Income support
| Source | % of households |
|---|---|
| Social Security | 49.9% |
| Retirement income | 25.3% |
| Supplemental Security | 10.9% |
| Cash public assistance | 4.7% |
| Food stamps / SNAP | 21.7% |
Health indicators
| Condition | % |
|---|---|
| High blood pressure | 42.5% |
| High cholesterol | 35.8% |
| Heart disease | 8.4% |
| Stroke | 4.4% |
| Asthma | 10.3% |
| Arthritis | 29.0% |
| Kidney disease | 3.7% |
| Pulmonary disease | 9.6% |
| Cancer | 6.2% |
| Behavior / access | % |
|---|---|
| Binge drinking | 14.9% |
| No physical activity | 33.5% |
| Less than 7 hrs sleep | 38.0% |
| Fair or poor health | 22.1% |
| Poor mental health | 16.9% |
| Poor physical health | 13.9% |
| No health insurance | 25.0% |
| Visited doctor (checkup) | 75.6% |
| Visited dentist | 48.4% |
| Cholesterol screening | 88.0% |
| Teeth loss | 24.2% |
Veterans & disability
| Veterans | Count | % |
|---|---|---|
| Civilian veterans | 1,326 | 6.5% |
| Disability | % |
|---|---|
| Any disability | 21.1% |
| Under 18 | 7.0% |
| 18–64 years | 13.4% |
| 65 and over | 50.3% |
Health insurance coverage
| Type | % |
|---|---|
| Private insurance | 52.6% |
| Public insurance | 45.9% |
| Uninsured under 19 | 7.8% |
Language & origin
Language spoken at home (age 5+)
| Language | Count | % |
|---|---|---|
| English only | 22,405 | 96.5% |
| Spanish | 285 | 1.2% |
| Other Indo-European | 256 | 1.1% |
| Asian & Pacific Islander | 6 | 0.0% |
| Other languages | 9 | 0.0% |
Place of birth & citizenship
| Origin | Count | % |
|---|---|---|
| Native born (US) | 23,000 | 98.2% |
| Born in same state | 22,900 | 97.7% |
| Born in different state | 17,974 | 79.6% |
| Foreign born | 100 | 0.5% |
| Naturalized citizen | 469 | 1.8% |
| Not a US citizen | 132 | 30.5% |
Ancestry
| Ancestry | Count | % |
|---|---|---|
| Arab | 1,696 | 7.2% |
| French | 1,408 | 6% |
| Italian | 894 | 3.8% |
| English | 37 | 0.2% |
| Ancestry | Count | % |
|---|---|---|
| Dutch | 9 | 0% |
| German | 6 | 0% |
| Norwegian | 6 | 0% |
| Irish | 5 | 0% |
Technology access
| Metric | % of households |
|---|---|
| Computer access | 29.6% |
| Internet access | 81.1% |
Source: U.S. Census Bureau, American Community Survey 2025 estimates.
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