Montgomery County, GA ZIP Codes
Georgia (GA) · 5 ZIP codes · 5 cities
5
ZIP codes
8,653
population (2021)
-5.2%
pop change since 2010
13209
FIPS code
Montgomery County ZIP code map
About Montgomery County
Montgomery County is located in Georgia and contains 5 ZIP codes across 5 cities and communities.
The county's population was 8,653 as of 2021,
a decrease of
5.2% from 9,123 in 2010.
The timezone is Central Time (observes DST).
The Federal Information Processing System (FIPS) code for Montgomery County is 13209.
| Population | |
|---|---|
| 2021 population | 8,653 |
| 2010 population | 9,123 |
| Change | -5.2% |
| County details | |
|---|---|
| State | Georgia |
| FIPS code | 13209 |
| Timezone | Central |
| Daylight saving | Yes |
Cities in Montgomery County
ZIP codes for Montgomery County, GA (5)
| ZIP code | City | County | Map |
|---|---|---|---|
| 30410 | Ailey | Montgomery | View map |
| 30412 | Alston | Montgomery | View map |
| 30445 | Mount Vernon | Montgomery | View map |
| 30470 | Tarrytown | Montgomery | View map |
| 30473 | Uvalda | Montgomery | View map |
Demographics & statistics
5,138
Population
37.7
Median age
$44,780
Median household income
$20,683
Per capita income
$103,650
Median home value
$666
Median monthly rent
70.8%
Home ownership
20.7%
Poverty rate
11.4%
Unemployment
1,603
Housing units
23.3%
Bachelor's or higher
Age distribution
Male
Female
121
Under 5
109
206
5–9
188
127
10–14
115
346
15–19
314
220
20–24
200
257
25–34
233
256
35–44
232
277
45–54
251
195
55–59
177
161
60–64
147
284
65–74
258
203
75–84
185
40
85+
36
← Male
Female →
Age summary
| Group | Count | % |
|---|---|---|
| Under 18 | 1,059 | 20.7% |
| 18 and over | 4,079 | 79.4% |
| 65 and over | 1,006 | 22.4% |
| Median age | 37.7 years | |
Race & ethnicity
White
58.1%
Black or African American
32.7%
Two or more races
4.9%
Hispanic or Latino
2%
Other race
1.4%
American Indian / Alaska Native
0.5%
Asian
0.4%
| Group | Count | % |
|---|---|---|
| White | 3,046 | 58.1% |
| Black or African American | 1,714 | 32.7% |
| Two or more races | 257 | 4.9% |
| Hispanic or Latino | 107 | 2% |
| Other race | 76 | 1.4% |
| American Indian / Alaska Native | 24 | 0.5% |
| Asian | 21 | 0.4% |
Household income
Under $10k
10.7%
$10k–$15k
6.3%
$15k–$25k
13.4%
$25k–$35k
8.0%
$35k–$50k
17.5%
$50k–$75k
10.7%
$75k–$100k
12.4%
$100k–$150k
13.3%
$150k–$200k
2.6%
$200k+
5.1%
| Range | % of households |
|---|---|
| Under $10k | 10.7% |
| $10k–$15k | 6.3% |
| $15k–$25k | 13.4% |
| $25k–$35k | 8.0% |
| $35k–$50k | 17.5% |
| $50k–$75k | 10.7% |
| $75k–$100k | 12.4% |
| $100k–$150k | 13.3% |
| $150k–$200k | 2.6% |
| $200k+ | 5.1% |
| Median income | $44,780 |
Housing
Home values
Under $50k
18.3%
$50k–$100k
30.6%
$100k–$150k
15.8%
$150k–$200k
8.9%
$200k–$300k
18.4%
$300k–$500k
6.3%
$500k–$1M
1.4%
$1M+
0.5%
Housing overview
| Metric | Value |
|---|---|
| Median home value | $103,650 |
| Median rent / month | $666 |
| Owner occupied | 70.8% |
| Renter occupied | 29.3% |
| Vacant | 20.6% |
| Single-family detached | 62.6% |
| Large apartment buildings | 0.2% |
| Mobile homes | 30.0% |
| Median rooms | 5.7 |
| Avg household size (owned) | 2.70 |
Year built
| Era | % |
|---|---|
| 2020 or later | 0.2% |
| 2010–2019 | 5.0% |
| 2000–2009 | 10.1% |
| 1990–1999 | 27.2% |
| 1980–1989 | 11.0% |
| 1970–1979 | 17.7% |
| 1960–1969 | 11.1% |
| 1950–1959 | 7.4% |
| 1940–1949 | 3.1% |
| 1939 or earlier | 7.4% |
Bedrooms
| Size | % of units |
|---|---|
| No bedroom (studio) | 0.2% |
| 1 bedroom | 6.5% |
| 2 bedrooms | 21.5% |
| 3 bedrooms | 49.6% |
| 4 bedrooms | 20.3% |
| 5+ bedrooms | 2.0% |
Vehicles per household
| Vehicles | % of households |
|---|---|
| No vehicle | 5.0% |
| 1 vehicle | 34.9% |
| 2 vehicles | 35.5% |
| 3 or more | 24.8% |
Heating fuel
| Fuel type | % |
|---|---|
| Utility gas | 3.3% |
| Electricity | 88.6% |
| Propane / LP gas | 7.8% |
| Wood | 0.3% |
| No fuel used | 0.1% |
Households & families
| Household type | Count | % |
|---|---|---|
| Married-couple family | 739 | 46.1% |
| Cohabiting couple | 56 | 3.2% |
| Male householder, no spouse | 341 | 19.8% |
| Female householder, no spouse | 492 | 30.9% |
| Households with children under 18 | 430 | 25.5% |
| Households with seniors (65+) | 684 | 42.8% |
| Average household size | 2.61 | |
Marital status
| Status | Male | Female |
|---|---|---|
| Never married | 38.9% | 24.3% |
| Married | 44.0% | 42.0% |
| Separated | 1.3% | 1.9% |
| Widowed | 6.5% | 20.4% |
| Divorced | 9.6% | 11.6% |
Education
Less than 9th grade
5.7%
Some HS, no diploma
9.8%
HS graduate
34.0%
Some college, no degree
21.6%
Associate's degree
5.8%
Bachelor's degree
11.8%
Graduate / professional
11.5%
| Metric | % |
|---|---|
| HS diploma or higher | 84.6% |
| Bachelor's or higher | 23.3% |
School enrollment (ages 3–17)
| Type | Count | % |
|---|---|---|
| Nursery / preschool | 26 | 1.7% |
| Kindergarten | 93 | 8.9% |
| Elementary school | 538 | 43.7% |
| High school | 214 | 18.9% |
| College / grad school | 543 | 26.9% |
Employment
Industry of employment
Education & healthcare
26.6%
Transportation & utilities
15.2%
Retail trade
9.2%
Construction
8.7%
Finance & real estate
8.0%
Other services
7.1%
Manufacturing
6.4%
Arts, food & hospitality
4.9%
Professional & management
4.0%
Agriculture & mining
3.5%
Public administration
3.4%
Information
2.0%
Wholesale trade
1.1%
Occupation
| Category | % |
|---|---|
| Management, business & arts | 27.0% |
| Service | 20.7% |
| Sales & office | 22.6% |
| Natural resources & construction | 14.1% |
| Production & transportation | 15.7% |
Employment type
| Type | % |
|---|---|
| Private sector | 68.0% |
| Government | 20.5% |
| Self-employed | 11.6% |
| Unpaid family workers | 0.0% |
Commute
| Method | % |
|---|---|
| Drive alone | 80.9% |
| Carpool | 7.6% |
| Public transit | 0.0% |
| Walk | 2.1% |
| Other means | 0.7% |
| Avg commute (minutes) | 28.6 |
Poverty
All people
20.7%
Under 18 years
22.3%
18 and over
19.9%
Married-couple families
6.2%
Female-led households
52.9%
Income support
| Source | % of households |
|---|---|
| Social Security | 39.0% |
| Retirement income | 27.1% |
| Supplemental Security | 6.9% |
| Cash public assistance | 1.1% |
| Food stamps / SNAP | 19.1% |
Health indicators
| Condition | % |
|---|---|
| High blood pressure | 38.3% |
| High cholesterol | 32.2% |
| Heart disease | 6.9% |
| Stroke | 3.9% |
| Asthma | 10.6% |
| Arthritis | 25.6% |
| Kidney disease | 3.4% |
| Pulmonary disease | 8.4% |
| Cancer | 5.3% |
| Behavior / access | % |
|---|---|
| Binge drinking | 15.4% |
| No physical activity | 30.6% |
| Less than 7 hrs sleep | 38.8% |
| Fair or poor health | 20.6% |
| Poor mental health | 17.8% |
| Poor physical health | 13.0% |
| No health insurance | 24.7% |
| Visited doctor (checkup) | 75.9% |
| Visited dentist | 50.1% |
| Cholesterol screening | 86.4% |
| Teeth loss | 22.7% |
Veterans & disability
| Veterans | Count | % |
|---|---|---|
| Civilian veterans | 269 | 7.0% |
| Disability | % |
|---|---|
| Any disability | 17.0% |
| Under 18 | 0.4% |
| 18–64 years | 15.5% |
| 65 and over | 36.8% |
Health insurance coverage
| Type | % |
|---|---|
| Private insurance | 63.5% |
| Public insurance | 43.3% |
| Uninsured under 19 | 6.6% |
Language & origin
Language spoken at home (age 5+)
| Language | Count | % |
|---|---|---|
| English only | 4,908 | 96.1% |
| Spanish | 27 | 0.4% |
| Other Indo-European | 18 | 0.3% |
| Asian & Pacific Islander | 2 | 0.1% |
| Other languages | 7 | 0.1% |
Place of birth & citizenship
| Origin | Count | % |
|---|---|---|
| Native born (US) | 4,994 | 97.8% |
| Born in same state | 4,994 | 97.8% |
| Born in different state | 3,862 | 76.7% |
| Foreign born | 0 | 0.0% |
| Naturalized citizen | 144 | 2.3% |
| Not a US citizen | 93 | 63.2% |
Ancestry
| Ancestry | Count | % |
|---|---|---|
| French | 569 | 11.1% |
| Arab | 494 | 9.6% |
| Italian | 459 | 8.9% |
| German | 26 | 0.5% |
| Ancestry | Count | % |
|---|---|---|
| English | 13 | 0.3% |
| Polish | 5 | 0.1% |
| Irish | 4 | 0.1% |
Technology access
| Metric | % of households |
|---|---|
| Computer access | 34.9% |
| Internet access | 90.4% |
Source: U.S. Census Bureau, American Community Survey 2025 estimates.
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