Talbot County, GA ZIP Codes
Georgia (GA) · 5 ZIP codes · 5 cities
5
ZIP codes
5,742
population (2021)
-16.4%
pop change since 2010
13263
FIPS code
Talbot County ZIP code map
About Talbot County
Talbot County is located in Georgia and contains 5 ZIP codes across 5 cities and communities.
The county's population was 5,742 as of 2021,
a decrease of
16.4% from 6,865 in 2010.
The timezone is Central Time (observes DST).
The Federal Information Processing System (FIPS) code for Talbot County is 13263.
| Population | |
|---|---|
| 2021 population | 5,742 |
| 2010 population | 6,865 |
| Change | -16.4% |
| County details | |
|---|---|
| State | Georgia |
| FIPS code | 13263 |
| Timezone | Central |
| Daylight saving | Yes |
Cities in Talbot County
ZIP codes for Talbot County, GA (5)
| ZIP code | City | County | Map |
|---|---|---|---|
| 31801 | Box Springs | Talbot | View map |
| 31810 | Geneva | Talbot | View map |
| 31812 | Junction City | Talbot | View map |
| 31827 | Talbotton | Talbot | View map |
| 31836 | Woodland | Talbot | View map |
Demographics & statistics
8,353
Population
48.9
Median age
$55,085
Median household income
$29,651
Per capita income
$131,880
Median home value
$585
Median monthly rent
81.2%
Home ownership
16.9%
Poverty rate
8.6%
Unemployment
3,441
Housing units
14.3%
Bachelor's or higher
Age distribution
Male
Female
123
Under 5
137
166
5–9
185
233
10–14
258
196
15–19
217
201
20–24
223
468
25–34
519
422
35–44
467
453
45–54
503
358
55–59
396
323
60–64
357
705
65–74
782
217
75–84
240
97
85+
107
← Male
Female →
Age summary
| Group | Count | % |
|---|---|---|
| Under 18 | 1,350 | 15.6% |
| 18 and over | 7,003 | 84.4% |
| 65 and over | 2,148 | 26.4% |
| Median age | 48.9 years | |
Race & ethnicity
White
55%
Black or African American
36%
Hispanic or Latino
2.6%
Two or more races
2.5%
Other race
2.4%
Asian
1.5%
| Group | Count | % |
|---|---|---|
| White | 4,712 | 55% |
| Black or African American | 3,089 | 36% |
| Hispanic or Latino | 219 | 2.6% |
| Two or more races | 216 | 2.5% |
| Other race | 202 | 2.4% |
| Asian | 130 | 1.5% |
Household income
Under $10k
8.4%
$10k–$15k
3.5%
$15k–$25k
10.6%
$25k–$35k
13.7%
$35k–$50k
11.0%
$50k–$75k
19.1%
$75k–$100k
14.7%
$100k–$150k
9.4%
$150k–$200k
2.6%
$200k+
7.0%
| Range | % of households |
|---|---|
| Under $10k | 8.4% |
| $10k–$15k | 3.5% |
| $15k–$25k | 10.6% |
| $25k–$35k | 13.7% |
| $35k–$50k | 11.0% |
| $50k–$75k | 19.1% |
| $75k–$100k | 14.7% |
| $100k–$150k | 9.4% |
| $150k–$200k | 2.6% |
| $200k+ | 7.0% |
| Median income | $55,085 |
Housing
Home values
Under $50k
19.8%
$50k–$100k
23.3%
$100k–$150k
14.0%
$150k–$200k
11.7%
$200k–$300k
16.9%
$300k–$500k
7.6%
$500k–$1M
3.9%
$1M+
2.8%
Housing overview
| Metric | Value |
|---|---|
| Median home value | $131,880 |
| Median rent / month | $585 |
| Owner occupied | 81.2% |
| Renter occupied | 18.8% |
| Vacant | 16.6% |
| Single-family detached | 67.2% |
| Large apartment buildings | 0.2% |
| Mobile homes | 29.8% |
| Median rooms | 5.9 |
| Avg household size (owned) | 2.53 |
Year built
| Era | % |
|---|---|
| 2020 or later | 0.1% |
| 2010–2019 | 5.2% |
| 2000–2009 | 16.2% |
| 1990–1999 | 28.0% |
| 1980–1989 | 12.0% |
| 1970–1979 | 12.3% |
| 1960–1969 | 8.1% |
| 1950–1959 | 5.8% |
| 1940–1949 | 1.2% |
| 1939 or earlier | 11.1% |
Bedrooms
| Size | % of units |
|---|---|
| No bedroom (studio) | 1.4% |
| 1 bedroom | 2.9% |
| 2 bedrooms | 21.4% |
| 3 bedrooms | 50.3% |
| 4 bedrooms | 19.7% |
| 5+ bedrooms | 4.2% |
Vehicles per household
| Vehicles | % of households |
|---|---|
| No vehicle | 10.4% |
| 1 vehicle | 27.3% |
| 2 vehicles | 33.8% |
| 3 or more | 28.5% |
Heating fuel
| Fuel type | % |
|---|---|
| Utility gas | 10.5% |
| Electricity | 62.4% |
| Propane / LP gas | 19.5% |
| Fuel oil | 0.6% |
| Wood | 6.4% |
Households & families
| Household type | Count | % |
|---|---|---|
| Married-couple family | 1,744 | 48.9% |
| Cohabiting couple | 149 | 4.7% |
| Male householder, no spouse | 617 | 18.0% |
| Female householder, no spouse | 957 | 28.4% |
| Households with children under 18 | 817 | 22.0% |
| Households with seniors (65+) | 1,627 | 48.3% |
| Average household size | 2.46 | |
Marital status
| Status | Male | Female |
|---|---|---|
| Never married | 29.0% | 29.5% |
| Married | 50.4% | 47.1% |
| Separated | 3.1% | 1.4% |
| Widowed | 6.8% | 12.6% |
| Divorced | 10.7% | 9.3% |
Education
Less than 9th grade
5.6%
Some HS, no diploma
11.9%
HS graduate
43.3%
Some college, no degree
16.0%
Associate's degree
9.0%
Bachelor's degree
9.9%
Graduate / professional
4.4%
| Metric | % |
|---|---|
| HS diploma or higher | 82.5% |
| Bachelor's or higher | 14.3% |
School enrollment (ages 3–17)
| Type | Count | % |
|---|---|---|
| Nursery / preschool | 86 | 4.4% |
| Kindergarten | 18 | 1.5% |
| Elementary school | 690 | 55.1% |
| High school | 377 | 22.4% |
| College / grad school | 243 | 16.7% |
Employment
Industry of employment
Education & healthcare
28.1%
Manufacturing
15.5%
Construction
9.0%
Professional & management
8.0%
Retail trade
8.0%
Transportation & utilities
7.7%
Arts, food & hospitality
6.7%
Other services
5.0%
Public administration
4.6%
Finance & real estate
3.3%
Wholesale trade
2.2%
Agriculture & mining
1.6%
Information
0.3%
Occupation
| Category | % |
|---|---|
| Management, business & arts | 31.7% |
| Service | 13.7% |
| Sales & office | 16.5% |
| Natural resources & construction | 15.7% |
| Production & transportation | 22.4% |
Employment type
| Type | % |
|---|---|
| Private sector | 74.2% |
| Government | 20.1% |
| Self-employed | 5.0% |
| Unpaid family workers | 0.6% |
Commute
| Method | % |
|---|---|
| Drive alone | 78.2% |
| Carpool | 11.7% |
| Public transit | 0.5% |
| Walk | 0.7% |
| Other means | 2.7% |
| Avg commute (minutes) | 38.2 |
Poverty
All people
16.9%
Under 18 years
31.8%
18 and over
14.3%
Married-couple families
8.6%
Female-led households
24.1%
Income support
| Source | % of households |
|---|---|
| Social Security | 49.8% |
| Retirement income | 25.4% |
| Supplemental Security | 8.3% |
| Cash public assistance | 1.1% |
| Food stamps / SNAP | 23.6% |
Health indicators
| Condition | % |
|---|---|
| High blood pressure | 46.0% |
| High cholesterol | 36.7% |
| Heart disease | 8.8% |
| Stroke | 5.0% |
| Asthma | 11.0% |
| Arthritis | 31.8% |
| Kidney disease | 4.2% |
| Pulmonary disease | 9.8% |
| Cancer | 6.7% |
| Behavior / access | % |
|---|---|
| Binge drinking | 12.4% |
| No physical activity | 33.7% |
| Less than 7 hrs sleep | 39.6% |
| Fair or poor health | 23.5% |
| Poor mental health | 16.5% |
| Poor physical health | 14.6% |
| No health insurance | 23.3% |
| Visited doctor (checkup) | 79.6% |
| Visited dentist | 50.3% |
| Cholesterol screening | 91.2% |
| Teeth loss | 23.0% |
Veterans & disability
| Veterans | Count | % |
|---|---|---|
| Civilian veterans | 804 | 10.8% |
| Disability | % |
|---|---|
| Any disability | 26.1% |
| Under 18 | 3.9% |
| 18–64 years | 20.4% |
| 65 and over | 52.3% |
Health insurance coverage
| Type | % |
|---|---|
| Private insurance | 51.9% |
| Public insurance | 46.3% |
| Uninsured under 19 | 22.0% |
Language & origin
Language spoken at home (age 5+)
| Language | Count | % |
|---|---|---|
| English only | 8,093 | 97.1% |
| Spanish | 126 | 1.1% |
| Other Indo-European | 113 | 0.9% |
| Asian & Pacific Islander | 13 | 0.1% |
| Other languages | 0 | 0.0% |
Place of birth & citizenship
| Origin | Count | % |
|---|---|---|
| Native born (US) | 8,113 | 98.3% |
| Born in same state | 8,054 | 97.3% |
| Born in different state | 6,142 | 76.3% |
| Foreign born | 59 | 1.0% |
| Naturalized citizen | 240 | 1.7% |
| Not a US citizen | 83 | 45.5% |
Ancestry
| Ancestry | Count | % |
|---|---|---|
| Arab | 944 | 11.3% |
| French | 857 | 10.3% |
| Ancestry | Count | % |
|---|---|---|
| Italian | 756 | 9.1% |
| English | 39 | 0.5% |
Technology access
| Metric | % of households |
|---|---|
| Computer access | 41.1% |
| Internet access | 78.5% |
Source: U.S. Census Bureau, American Community Survey 2025 estimates.
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