Butler County, AL ZIP Codes
Alabama (AL) · 5 ZIP codes · 5 cities
5
ZIP codes
18,884
population (2021)
-9.8%
pop change since 2010
01013
FIPS code
Butler County ZIP code map
About Butler County
Butler County is located in Alabama and contains 5 ZIP codes across 5 cities and communities.
The county's population was 18,884 as of 2021,
a decrease of
9.8% from 20,947 in 2010.
The timezone is Mountain Time (observes DST).
The Federal Information Processing System (FIPS) code for Butler County is 01013.
| Population | |
|---|---|
| 2021 population | 18,884 |
| 2010 population | 20,947 |
| Change | -9.8% |
| County details | |
|---|---|
| State | Alabama |
| FIPS code | 01013 |
| Timezone | Mountain |
| Daylight saving | Yes |
Cities in Butler County
ZIP codes for Butler County, AL (5)
| ZIP code | City | County | Map |
|---|---|---|---|
| 36015 | Chapman | Butler | View map |
| 36030 | Forest Home | Butler | View map |
| 36033 | Georgiana | Butler | View map |
| 36037 | Greenville | Butler | View map |
| 36456 | Mc Kenzie | Butler | View map |
Demographics & statistics
18,711
Population
41.6
Median age
$45,707
Median household income
$26,779
Per capita income
$65,850
Median home value
$477
Median monthly rent
76.6%
Home ownership
24.2%
Poverty rate
6.8%
Unemployment
7,692
Housing units
12.0%
Bachelor's or higher
Age distribution
Male
Female
465
Under 5
535
510
5–9
586
632
10–14
728
484
15–19
558
526
20–24
606
994
25–34
1,144
1,110
35–44
1,277
986
45–54
1,136
563
55–59
647
633
60–64
729
1,051
65–74
1,209
553
75–84
637
192
85+
220
← Male
Female →
Age summary
| Group | Count | % |
|---|---|---|
| Under 18 | 4,172 | 22.6% |
| 18 and over | 14,539 | 77.4% |
| 65 and over | 3,862 | 24.8% |
| Median age | 41.6 years | |
Race & ethnicity
White
50.6%
Black or African American
44.6%
Two or more races
2%
Asian
1.3%
Hispanic or Latino
1.1%
Other race
0.3%
American Indian / Alaska Native
0.1%
| Group | Count | % |
|---|---|---|
| White | 9,575 | 50.6% |
| Black or African American | 8,441 | 44.6% |
| Two or more races | 373 | 2% |
| Asian | 252 | 1.3% |
| Hispanic or Latino | 211 | 1.1% |
| Other race | 57 | 0.3% |
| American Indian / Alaska Native | 13 | 0.1% |
Household income
Under $10k
4.7%
$10k–$15k
7.5%
$15k–$25k
18.6%
$25k–$35k
15.8%
$35k–$50k
12.6%
$50k–$75k
7.2%
$75k–$100k
11.6%
$100k–$150k
11.3%
$150k–$200k
7.5%
$200k+
3.2%
| Range | % of households |
|---|---|
| Under $10k | 4.7% |
| $10k–$15k | 7.5% |
| $15k–$25k | 18.6% |
| $25k–$35k | 15.8% |
| $35k–$50k | 12.6% |
| $50k–$75k | 7.2% |
| $75k–$100k | 11.6% |
| $100k–$150k | 11.3% |
| $150k–$200k | 7.5% |
| $200k+ | 3.2% |
| Median income | $45,707 |
Housing
Home values
Under $50k
37.3%
$50k–$100k
20.3%
$100k–$150k
19.1%
$150k–$200k
7.2%
$200k–$300k
7.6%
$300k–$500k
5.7%
$500k–$1M
2.8%
$1M+
0.2%
Housing overview
| Metric | Value |
|---|---|
| Median home value | $65,850 |
| Median rent / month | $477 |
| Owner occupied | 76.6% |
| Renter occupied | 23.4% |
| Vacant | 34.0% |
| Single-family detached | 62.4% |
| Large apartment buildings | 0.8% |
| Mobile homes | 30.7% |
| Median rooms | 5.6 |
| Avg household size (owned) | 2.59 |
Year built
| Era | % |
|---|---|
| 2020 or later | 0.2% |
| 2010–2019 | 1.3% |
| 2000–2009 | 6.5% |
| 1990–1999 | 26.6% |
| 1980–1989 | 15.4% |
| 1970–1979 | 19.8% |
| 1960–1969 | 10.9% |
| 1950–1959 | 9.4% |
| 1940–1949 | 2.6% |
| 1939 or earlier | 7.4% |
Bedrooms
| Size | % of units |
|---|---|
| No bedroom (studio) | 0.2% |
| 1 bedroom | 4.1% |
| 2 bedrooms | 16.3% |
| 3 bedrooms | 63.0% |
| 4 bedrooms | 14.0% |
| 5+ bedrooms | 2.4% |
Vehicles per household
| Vehicles | % of households |
|---|---|
| No vehicle | 9.1% |
| 1 vehicle | 25.4% |
| 2 vehicles | 39.7% |
| 3 or more | 25.8% |
Heating fuel
| Fuel type | % |
|---|---|
| Utility gas | 8.5% |
| Electricity | 69.4% |
| Propane / LP gas | 20.2% |
| Wood | 1.6% |
| No fuel used | 0.2% |
Households & families
| Household type | Count | % |
|---|---|---|
| Married-couple family | 3,166 | 44.1% |
| Cohabiting couple | 335 | 3.4% |
| Male householder, no spouse | 1,078 | 14.2% |
| Female householder, no spouse | 2,477 | 38.3% |
| Households with children under 18 | 1,932 | 24.9% |
| Households with seniors (65+) | 2,603 | 43.3% |
| Average household size | 2.68 | |
Marital status
| Status | Male | Female |
|---|---|---|
| Never married | 39.5% | 28.2% |
| Married | 48.2% | 39.4% |
| Separated | 0.7% | 3.2% |
| Widowed | 2.5% | 15.5% |
| Divorced | 9.1% | 13.8% |
Education
Less than 9th grade
2.8%
Some HS, no diploma
5.9%
HS graduate
53.0%
Some college, no degree
19.1%
Associate's degree
7.2%
Bachelor's degree
7.9%
Graduate / professional
4.2%
| Metric | % |
|---|---|
| HS diploma or higher | 91.3% |
| Bachelor's or higher | 12.0% |
School enrollment (ages 3–17)
| Type | Count | % |
|---|---|---|
| Nursery / preschool | 202 | 2.8% |
| Kindergarten | 164 | 9.7% |
| Elementary school | 1,954 | 45.0% |
| High school | 935 | 27.5% |
| College / grad school | 721 | 15.1% |
Employment
Industry of employment
Manufacturing
31.3%
Education & healthcare
17.6%
Retail trade
9.3%
Arts, food & hospitality
7.2%
Professional & management
7.2%
Transportation & utilities
6.3%
Construction
5.0%
Public administration
4.3%
Finance & real estate
3.4%
Other services
2.8%
Agriculture & mining
2.7%
Wholesale trade
1.6%
Information
1.4%
Occupation
| Category | % |
|---|---|
| Management, business & arts | 29.1% |
| Service | 9.2% |
| Sales & office | 22.1% |
| Natural resources & construction | 10.9% |
| Production & transportation | 28.7% |
Employment type
| Type | % |
|---|---|
| Private sector | 84.9% |
| Government | 10.6% |
| Self-employed | 4.6% |
| Unpaid family workers | 0.0% |
Commute
| Method | % |
|---|---|
| Drive alone | 76.6% |
| Carpool | 19.0% |
| Public transit | 0.4% |
| Walk | 0.2% |
| Other means | 0.6% |
| Avg commute (minutes) | 29.5 |
Poverty
All people
24.2%
Under 18 years
37.9%
18 and over
20.5%
Married-couple families
7.8%
Female-led households
41.1%
Income support
| Source | % of households |
|---|---|
| Social Security | 48.0% |
| Retirement income | 24.7% |
| Supplemental Security | 12.4% |
| Cash public assistance | 1.2% |
| Food stamps / SNAP | 19.0% |
Health indicators
| Condition | % |
|---|---|
| High blood pressure | 49.5% |
| High cholesterol | 39.4% |
| Heart disease | 9.4% |
| Stroke | 5.4% |
| Asthma | 10.9% |
| Arthritis | 37.6% |
| Kidney disease | 4.3% |
| Pulmonary disease | 11.4% |
| Cancer | 7.1% |
| Behavior / access | % |
|---|---|
| Binge drinking | 12.1% |
| No physical activity | 35.1% |
| Less than 7 hrs sleep | 40.1% |
| Fair or poor health | 26.7% |
| Poor mental health | 17.1% |
| Poor physical health | 15.4% |
| No health insurance | 18.9% |
| Visited doctor (checkup) | 79.4% |
| Visited dentist | 53.0% |
| Cholesterol screening | 90.5% |
| Teeth loss | 22.5% |
Veterans & disability
| Veterans | Count | % |
|---|---|---|
| Civilian veterans | 992 | 6.9% |
| Disability | % |
|---|---|
| Any disability | 18.7% |
| Under 18 | 4.4% |
| 18–64 years | 15.3% |
| 65 and over | 37.9% |
Health insurance coverage
| Type | % |
|---|---|
| Private insurance | 58.5% |
| Public insurance | 48.6% |
| Uninsured under 19 | 3.5% |
Language & origin
Language spoken at home (age 5+)
| Language | Count | % |
|---|---|---|
| English only | 17,711 | 95.8% |
| Spanish | 89 | 0.2% |
| Other Indo-European | 56 | 0.1% |
| Asian & Pacific Islander | 24 | 0.1% |
| Other languages | 9 | 0.0% |
Place of birth & citizenship
| Origin | Count | % |
|---|---|---|
| Native born (US) | 18,380 | 99.2% |
| Born in same state | 18,299 | 98.6% |
| Born in different state | 16,159 | 87.5% |
| Foreign born | 81 | 0.6% |
| Naturalized citizen | 331 | 0.9% |
| Not a US citizen | 173 | 51.3% |
Ancestry
| Ancestry | Count | % |
|---|---|---|
| Arab | 1,623 | 8.7% |
| French | 1,456 | 7.8% |
| Italian | 1,111 | 5.9% |
| Ancestry | Count | % |
|---|---|---|
| German | 39 | 0.2% |
| Polish | 18 | 0.1% |
| English | 11 | 0.1% |
Technology access
| Metric | % of households |
|---|---|
| Computer access | 37.1% |
| Internet access | 73.9% |
Source: U.S. Census Bureau, American Community Survey 2025 estimates.
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