Macon County, AL ZIP Codes
Alabama (AL) · 7 ZIP codes · 6 cities
7
ZIP codes
18,895
population (2021)
-11.9%
pop change since 2010
01087
FIPS code
Macon County ZIP code map
About Macon County
Macon County is located in Alabama and contains 7 ZIP codes across 6 cities and communities.
The county's population was 18,895 as of 2021,
a decrease of
11.9% from 21,452 in 2010.
The timezone is Mountain Time (observes DST).
The Federal Information Processing System (FIPS) code for Macon County is 01087.
| Population | |
|---|---|
| 2021 population | 18,895 |
| 2010 population | 21,452 |
| Change | -11.9% |
| County details | |
|---|---|
| State | Alabama |
| FIPS code | 01087 |
| Timezone | Mountain |
| Daylight saving | Yes |
Cities in Macon County
ZIP codes for Macon County, AL (7)
| ZIP code | City | County | Map |
|---|---|---|---|
| 36031 | Fort Davis | Macon | View map |
| 36039 | Hardaway | Macon | View map |
| 36075 | Shorter | Macon | View map |
| 36083 | Tuskegee | Macon | View map |
| 36087 | Tuskegee Institute | Macon | View map |
| 36088 | Tuskegee Institute | Macon | View map |
| 36866 | Notasulga | Macon | View map |
Demographics & statistics
19,740
Population
36.0
Median age
$44,243
Median household income
$23,621
Per capita income
$63,083
Median home value
$485
Median monthly rent
66.2%
Home ownership
19.5%
Poverty rate
10.4%
Unemployment
7,056
Housing units
19.1%
Bachelor's or higher
Age distribution
Male
Female
423
Under 5
429
343
5–9
347
550
10–14
557
1,288
15–19
1,306
1,125
20–24
1,140
1,115
25–34
1,130
800
35–44
811
993
45–54
1,007
596
55–59
604
585
60–64
594
1,183
65–74
1,199
604
75–84
612
198
85+
201
← Male
Female →
Age summary
| Group | Count | % |
|---|---|---|
| Under 18 | 3,367 | 14.1% |
| 18 and over | 16,373 | 85.9% |
| 65 and over | 3,997 | 21.1% |
| Median age | 36.0 years | |
Race & ethnicity
Black or African American
71.7%
White
21.2%
Two or more races
4%
Hispanic or Latino
2.3%
Asian
0.5%
Other race
0.2%
| Group | Count | % |
|---|---|---|
| Black or African American | 14,489 | 71.7% |
| White | 4,292 | 21.2% |
| Two or more races | 813 | 4% |
| Hispanic or Latino | 472 | 2.3% |
| Asian | 94 | 0.5% |
| Other race | 45 | 0.2% |
Household income
Under $10k
10.2%
$10k–$15k
5.2%
$15k–$25k
10.7%
$25k–$35k
8.5%
$35k–$50k
19.2%
$50k–$75k
17.6%
$75k–$100k
12.4%
$100k–$150k
9.4%
$150k–$200k
2.9%
$200k+
3.9%
| Range | % of households |
|---|---|
| Under $10k | 10.2% |
| $10k–$15k | 5.2% |
| $15k–$25k | 10.7% |
| $25k–$35k | 8.5% |
| $35k–$50k | 19.2% |
| $50k–$75k | 17.6% |
| $75k–$100k | 12.4% |
| $100k–$150k | 9.4% |
| $150k–$200k | 2.9% |
| $200k+ | 3.9% |
| Median income | $44,243 |
Housing
Home values
Under $50k
19.7%
$50k–$100k
28.5%
$100k–$150k
14.2%
$150k–$200k
9.0%
$200k–$300k
8.9%
$300k–$500k
9.7%
$500k–$1M
3.5%
$1M+
6.5%
Housing overview
| Metric | Value |
|---|---|
| Median home value | $63,083 |
| Median rent / month | $485 |
| Owner occupied | 66.2% |
| Renter occupied | 33.9% |
| Vacant | 25.6% |
| Single-family detached | 64.6% |
| Large apartment buildings | 1.0% |
| Mobile homes | 25.7% |
| Median rooms | 6.0 |
| Avg household size (owned) | 2.29 |
Year built
| Era | % |
|---|---|
| 2020 or later | 1.3% |
| 2010–2019 | 4.4% |
| 2000–2009 | 13.5% |
| 1990–1999 | 21.2% |
| 1980–1989 | 14.7% |
| 1970–1979 | 19.0% |
| 1960–1969 | 11.9% |
| 1950–1959 | 5.8% |
| 1940–1949 | 3.8% |
| 1939 or earlier | 4.6% |
Bedrooms
| Size | % of units |
|---|---|
| No bedroom (studio) | 0.8% |
| 1 bedroom | 4.1% |
| 2 bedrooms | 19.1% |
| 3 bedrooms | 53.0% |
| 4 bedrooms | 20.2% |
| 5+ bedrooms | 2.9% |
Vehicles per household
| Vehicles | % of households |
|---|---|
| No vehicle | 10.7% |
| 1 vehicle | 34.7% |
| 2 vehicles | 27.2% |
| 3 or more | 27.5% |
Heating fuel
| Fuel type | % |
|---|---|
| Utility gas | 22.3% |
| Electricity | 53.2% |
| Propane / LP gas | 23.4% |
| Wood | 0.4% |
| No fuel used | 0.2% |
Households & families
| Household type | Count | % |
|---|---|---|
| Married-couple family | 2,382 | 35.8% |
| Cohabiting couple | 350 | 3.7% |
| Male householder, no spouse | 1,542 | 21.7% |
| Female householder, no spouse | 3,036 | 38.8% |
| Households with children under 18 | 1,772 | 19.1% |
| Households with seniors (65+) | 2,970 | 38.9% |
| Average household size | 2.45 | |
Marital status
| Status | Male | Female |
|---|---|---|
| Never married | 50.5% | 41.0% |
| Married | 36.4% | 35.4% |
| Separated | 2.3% | 2.8% |
| Widowed | 2.0% | 9.9% |
| Divorced | 9.0% | 11.0% |
Education
Less than 9th grade
3.1%
Some HS, no diploma
17.8%
HS graduate
30.8%
Some college, no degree
23.1%
Associate's degree
6.2%
Bachelor's degree
11.9%
Graduate / professional
7.2%
| Metric | % |
|---|---|
| HS diploma or higher | 79.1% |
| Bachelor's or higher | 19.1% |
School enrollment (ages 3–17)
| Type | Count | % |
|---|---|---|
| Nursery / preschool | 180 | 4.9% |
| Kindergarten | 170 | 3.1% |
| Elementary school | 1,291 | 20.1% |
| High school | 959 | 21.7% |
| College / grad school | 3,296 | 33.6% |
Employment
Industry of employment
Education & healthcare
22.9%
Manufacturing
17.3%
Arts, food & hospitality
16.0%
Retail trade
9.3%
Professional & management
7.8%
Public administration
6.8%
Agriculture & mining
4.8%
Finance & real estate
4.8%
Transportation & utilities
4.0%
Other services
3.0%
Construction
2.5%
Wholesale trade
0.8%
Information
0.3%
Occupation
| Category | % |
|---|---|
| Management, business & arts | 26.9% |
| Service | 25.1% |
| Sales & office | 19.0% |
| Natural resources & construction | 6.7% |
| Production & transportation | 22.3% |
Employment type
| Type | % |
|---|---|
| Private sector | 75.4% |
| Government | 19.7% |
| Self-employed | 4.8% |
| Unpaid family workers | 0.0% |
Commute
| Method | % |
|---|---|
| Drive alone | 81.0% |
| Carpool | 9.2% |
| Public transit | 0.0% |
| Walk | 4.6% |
| Other means | 1.4% |
| Avg commute (minutes) | 25.8 |
Poverty
All people
19.5%
Under 18 years
26.9%
18 and over
17.7%
Married-couple families
7.9%
Female-led households
30.0%
Income support
| Source | % of households |
|---|---|
| Social Security | 44.1% |
| Retirement income | 28.1% |
| Supplemental Security | 11.2% |
| Cash public assistance | 0.4% |
| Food stamps / SNAP | 18.9% |
Health indicators
| Condition | % |
|---|---|
| High blood pressure | 48.1% |
| High cholesterol | 33.2% |
| Heart disease | 7.6% |
| Stroke | 5.0% |
| Asthma | 11.6% |
| Arthritis | 32.5% |
| Kidney disease | 4.0% |
| Pulmonary disease | 9.0% |
| Cancer | 5.9% |
| Behavior / access | % |
|---|---|
| Binge drinking | 12.0% |
| No physical activity | 34.9% |
| Less than 7 hrs sleep | 43.5% |
| Fair or poor health | 25.6% |
| Poor mental health | 17.6% |
| Poor physical health | 13.8% |
| No health insurance | 19.3% |
| Visited doctor (checkup) | 80.5% |
| Visited dentist | 53.3% |
| Cholesterol screening | 90.4% |
| Teeth loss | 22.7% |
Veterans & disability
| Veterans | Count | % |
|---|---|---|
| Civilian veterans | 1,269 | 9.2% |
| Disability | % |
|---|---|
| Any disability | 21.5% |
| Under 18 | 2.4% |
| 18–64 years | 19.1% |
| 65 and over | 32.5% |
Health insurance coverage
| Type | % |
|---|---|
| Private insurance | 55.9% |
| Public insurance | 48.4% |
| Uninsured under 19 | 3.1% |
Language & origin
Language spoken at home (age 5+)
| Language | Count | % |
|---|---|---|
| English only | 18,888 | 96.7% |
| Spanish | 156 | 1.0% |
| Other Indo-European | 154 | 1.0% |
| Asian & Pacific Islander | 2 | 0.0% |
| Other languages | 0 | 0.0% |
Place of birth & citizenship
| Origin | Count | % |
|---|---|---|
| Native born (US) | 19,497 | 98.6% |
| Born in same state | 19,390 | 97.8% |
| Born in different state | 14,784 | 70.8% |
| Foreign born | 107 | 0.8% |
| Naturalized citizen | 243 | 1.5% |
| Not a US citizen | 57 | 15.2% |
Ancestry
| Ancestry | Count | % |
|---|---|---|
| Arab | 2,150 | 10.9% |
| French | 736 | 3.7% |
| Italian | 580 | 2.9% |
| English | 85 | 0.4% |
| Ancestry | Count | % |
|---|---|---|
| Irish | 19 | 0.1% |
| German | 11 | 0.1% |
| Dutch | 4 | 0% |
Technology access
| Metric | % of households |
|---|---|
| Computer access | 37.6% |
| Internet access | 80.8% |
Source: U.S. Census Bureau, American Community Survey 2025 estimates.
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