Monroe County, GA ZIP Codes
Georgia (GA) · 5 ZIP codes · 5 cities
5
ZIP codes
28,712
population (2021)
+8.7%
pop change since 2010
13207
FIPS code
Monroe County ZIP code map
About Monroe County
Monroe County is located in Georgia and contains 5 ZIP codes across 5 cities and communities.
The county's population was 28,712 as of 2021,
an increase of
8.7% from 26,424 in 2010.
The timezone is Central Time (observes DST).
The Federal Information Processing System (FIPS) code for Monroe County is 13207.
| Population | |
|---|---|
| 2021 population | 28,712 |
| 2010 population | 26,424 |
| Change | +8.7% |
| County details | |
|---|---|
| State | Georgia |
| FIPS code | 13207 |
| Timezone | Central |
| Daylight saving | Yes |
Cities in Monroe County
ZIP codes for Monroe County, GA (5)
| ZIP code | City | County | Map |
|---|---|---|---|
| 31004 | Bolingbroke | Monroe | View map |
| 31016 | Culloden | Monroe | View map |
| 31029 | Forsyth | Monroe | View map |
| 31046 | Juliette | Monroe | View map |
| 31086 | Smarr | Monroe | View map |
Demographics & statistics
23,003
Population
41.8
Median age
$71,003
Median household income
$34,862
Per capita income
$188,133
Median home value
$455
Median monthly rent
85.9%
Home ownership
13.2%
Poverty rate
2.6%
Unemployment
7,566
Housing units
23.5%
Bachelor's or higher
Age distribution
Male
Female
559
Under 5
573
811
5–9
832
604
10–14
620
732
15–19
751
658
20–24
676
1,395
25–34
1,431
1,345
35–44
1,379
1,483
45–54
1,521
1,006
55–59
1,032
818
60–64
839
1,132
65–74
1,162
652
75–84
668
160
85+
164
← Male
Female →
Age summary
| Group | Count | % |
|---|---|---|
| Under 18 | 4,915 | 20.6% |
| 18 and over | 18,088 | 79.4% |
| 65 and over | 3,938 | 18.6% |
| Median age | 41.8 years | |
Race & ethnicity
White
69.4%
Black or African American
25.6%
Two or more races
1.8%
Hispanic or Latino
1.5%
Asian
0.9%
Other race
0.6%
American Indian / Alaska Native
0.2%
| Group | Count | % |
|---|---|---|
| White | 16,211 | 69.4% |
| Black or African American | 5,972 | 25.6% |
| Two or more races | 429 | 1.8% |
| Hispanic or Latino | 341 | 1.5% |
| Asian | 220 | 0.9% |
| Other race | 129 | 0.6% |
| American Indian / Alaska Native | 42 | 0.2% |
Household income
Under $10k
5.3%
$10k–$15k
4.6%
$15k–$25k
8.6%
$25k–$35k
9.4%
$35k–$50k
9.2%
$50k–$75k
14.8%
$75k–$100k
12.7%
$100k–$150k
20.0%
$150k–$200k
8.6%
$200k+
6.6%
| Range | % of households |
|---|---|
| Under $10k | 5.3% |
| $10k–$15k | 4.6% |
| $15k–$25k | 8.6% |
| $25k–$35k | 9.4% |
| $35k–$50k | 9.2% |
| $50k–$75k | 14.8% |
| $75k–$100k | 12.7% |
| $100k–$150k | 20.0% |
| $150k–$200k | 8.6% |
| $200k+ | 6.6% |
| Median income | $71,003 |
Housing
Home values
Under $50k
6.5%
$50k–$100k
20.4%
$100k–$150k
9.9%
$150k–$200k
18.3%
$200k–$300k
18.1%
$300k–$500k
20.2%
$500k–$1M
4.8%
$1M+
1.7%
Housing overview
| Metric | Value |
|---|---|
| Median home value | $188,133 |
| Median rent / month | $455 |
| Owner occupied | 85.9% |
| Renter occupied | 14.1% |
| Vacant | 10.0% |
| Single-family detached | 77.2% |
| Large apartment buildings | 0.8% |
| Mobile homes | 19.2% |
| Median rooms | 6.9 |
| Avg household size (owned) | 2.72 |
Year built
| Era | % |
|---|---|
| 2020 or later | 0.5% |
| 2010–2019 | 6.7% |
| 2000–2009 | 27.8% |
| 1990–1999 | 18.4% |
| 1980–1989 | 12.4% |
| 1970–1979 | 12.6% |
| 1960–1969 | 7.2% |
| 1950–1959 | 8.5% |
| 1940–1949 | 2.1% |
| 1939 or earlier | 3.8% |
Bedrooms
| Size | % of units |
|---|---|
| No bedroom (studio) | 1.0% |
| 1 bedroom | 2.9% |
| 2 bedrooms | 14.8% |
| 3 bedrooms | 47.8% |
| 4 bedrooms | 27.3% |
| 5+ bedrooms | 6.3% |
Vehicles per household
| Vehicles | % of households |
|---|---|
| No vehicle | 2.2% |
| 1 vehicle | 23.2% |
| 2 vehicles | 33.0% |
| 3 or more | 41.6% |
Heating fuel
| Fuel type | % |
|---|---|
| Utility gas | 8.6% |
| Electricity | 65.0% |
| Propane / LP gas | 24.3% |
| Fuel oil | 0.1% |
| Wood | 1.8% |
| No fuel used | 0.1% |
Households & families
| Household type | Count | % |
|---|---|---|
| Married-couple family | 4,408 | 50.6% |
| Cohabiting couple | 424 | 5.3% |
| Male householder, no spouse | 1,301 | 16.2% |
| Female householder, no spouse | 2,212 | 27.9% |
| Households with children under 18 | 2,869 | 30.6% |
| Households with seniors (65+) | 2,925 | 39.3% |
| Average household size | 2.71 | |
Marital status
| Status | Male | Female |
|---|---|---|
| Never married | 28.4% | 25.1% |
| Married | 52.1% | 49.1% |
| Separated | 3.2% | 5.0% |
| Widowed | 4.2% | 11.6% |
| Divorced | 12.1% | 9.2% |
Education
Less than 9th grade
2.7%
Some HS, no diploma
8.9%
HS graduate
42.6%
Some college, no degree
16.6%
Associate's degree
5.8%
Bachelor's degree
13.8%
Graduate / professional
9.7%
| Metric | % |
|---|---|
| HS diploma or higher | 88.5% |
| Bachelor's or higher | 23.5% |
School enrollment (ages 3–17)
| Type | Count | % |
|---|---|---|
| Nursery / preschool | 434 | 10.9% |
| Kindergarten | 226 | 4.7% |
| Elementary school | 2,291 | 43.6% |
| High school | 1,142 | 18.5% |
| College / grad school | 996 | 22.3% |
Employment
Industry of employment
Education & healthcare
21.7%
Public administration
10.7%
Retail trade
9.7%
Transportation & utilities
9.7%
Arts, food & hospitality
9.1%
Manufacturing
8.6%
Construction
7.2%
Professional & management
7.2%
Finance & real estate
7.0%
Other services
4.4%
Information
2.0%
Agriculture & mining
1.9%
Wholesale trade
0.8%
Occupation
| Category | % |
|---|---|
| Management, business & arts | 29.3% |
| Service | 22.3% |
| Sales & office | 19.5% |
| Natural resources & construction | 10.5% |
| Production & transportation | 18.2% |
Employment type
| Type | % |
|---|---|
| Private sector | 72.4% |
| Government | 20.8% |
| Self-employed | 6.4% |
| Unpaid family workers | 0.4% |
Commute
| Method | % |
|---|---|
| Drive alone | 87.1% |
| Carpool | 7.3% |
| Public transit | 0.6% |
| Walk | 2.4% |
| Other means | 0.5% |
| Avg commute (minutes) | 28.4 |
Poverty
All people
13.2%
Under 18 years
16.8%
18 and over
12.1%
Married-couple families
6.9%
Female-led households
12.1%
Income support
| Source | % of households |
|---|---|
| Social Security | 41.1% |
| Retirement income | 30.0% |
| Supplemental Security | 7.3% |
| Cash public assistance | 1.1% |
| Food stamps / SNAP | 10.6% |
Health indicators
| Condition | % |
|---|---|
| High blood pressure | 38.6% |
| High cholesterol | 35.5% |
| Heart disease | 6.9% |
| Stroke | 3.6% |
| Asthma | 9.8% |
| Arthritis | 26.7% |
| Kidney disease | 3.2% |
| Pulmonary disease | 7.3% |
| Cancer | 6.3% |
| Behavior / access | % |
|---|---|
| Binge drinking | 14.6% |
| No physical activity | 27.4% |
| Less than 7 hrs sleep | 37.2% |
| Fair or poor health | 17.1% |
| Poor mental health | 15.5% |
| Poor physical health | 11.4% |
| No health insurance | 19.7% |
| Visited doctor (checkup) | 77.2% |
| Visited dentist | 59.2% |
| Cholesterol screening | 90.9% |
| Teeth loss | 17.2% |
Veterans & disability
| Veterans | Count | % |
|---|---|---|
| Civilian veterans | 1,180 | 7.1% |
| Disability | % |
|---|---|
| Any disability | 16.7% |
| Under 18 | 8.0% |
| 18–64 years | 13.0% |
| 65 and over | 36.9% |
Health insurance coverage
| Type | % |
|---|---|
| Private insurance | 61.4% |
| Public insurance | 37.4% |
| Uninsured under 19 | 3.7% |
Language & origin
Language spoken at home (age 5+)
| Language | Count | % |
|---|---|---|
| English only | 21,871 | 94.9% |
| Spanish | 277 | 1.2% |
| Other Indo-European | 179 | 1.0% |
| Asian & Pacific Islander | 0 | 0.0% |
| Other languages | 98 | 0.2% |
Place of birth & citizenship
| Origin | Count | % |
|---|---|---|
| Native born (US) | 22,684 | 98.9% |
| Born in same state | 22,575 | 98.7% |
| Born in different state | 18,628 | 84.6% |
| Foreign born | 109 | 0.2% |
| Naturalized citizen | 319 | 1.1% |
| Not a US citizen | 175 | 53.0% |
Ancestry
| Ancestry | Count | % |
|---|---|---|
| French | 2,320 | 10.1% |
| Arab | 2,205 | 9.6% |
| Italian | 1,325 | 5.8% |
| Ancestry | Count | % |
|---|---|---|
| English | 175 | 0.8% |
| Polish | 11 | 0% |
Technology access
| Metric | % of households |
|---|---|
| Computer access | 36.2% |
| Internet access | 91.8% |
Source: U.S. Census Bureau, American Community Survey 2025 estimates.
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