Tuscaloosa County, AL ZIP Codes
Alabama (AL) · 27 ZIP codes · 17 cities
27
ZIP codes
227,007
population (2021)
+16.6%
pop change since 2010
01125
FIPS code
Tuscaloosa County ZIP code map
About Tuscaloosa County
Tuscaloosa County is located in Alabama and contains 27 ZIP codes across 17 cities and communities.
The county's population was 227,007 as of 2021,
an increase of
16.6% from 194,656 in 2010.
The timezone is Mountain Time (observes DST).
The Federal Information Processing System (FIPS) code for Tuscaloosa County is 01125.
| Population | |
|---|---|
| 2021 population | 227,007 |
| 2010 population | 194,656 |
| Change | +16.6% |
| County details | |
|---|---|
| State | Alabama |
| FIPS code | 01125 |
| Timezone | Mountain |
| Daylight saving | Yes |
Cities in Tuscaloosa County
Abernant
Brookwood
Buhl
Coaling
Coker
Cottondale
Duncanville
Echola
Elrod
Fosters
Kellerman
Northport
Peterson
Ralph
Samantha
Tuscaloosa
Vance
ZIP codes for Tuscaloosa County, AL (27)
| ZIP code | City | County | Map |
|---|---|---|---|
| 35401 | Tuscaloosa | Tuscaloosa | View map |
| 35402 | Tuscaloosa | Tuscaloosa | View map |
| 35403 | Tuscaloosa | Tuscaloosa | View map |
| 35404 | Tuscaloosa | Tuscaloosa | View map |
| 35405 | Tuscaloosa | Tuscaloosa | View map |
| 35406 | Tuscaloosa | Tuscaloosa | View map |
| 35407 | Tuscaloosa | Tuscaloosa | View map |
| 35440 | Abernant | Tuscaloosa | View map |
| 35444 | Brookwood | Tuscaloosa | View map |
| 35446 | Buhl | Tuscaloosa | View map |
| 35449 | Coaling | Tuscaloosa | View map |
| 35452 | Coker | Tuscaloosa | View map |
| 35453 | Cottondale | Tuscaloosa | View map |
| 35456 | Duncanville | Tuscaloosa | View map |
| 35457 | Echola | Tuscaloosa | View map |
| 35458 | Elrod | Tuscaloosa | View map |
| 35463 | Fosters | Tuscaloosa | View map |
| 35468 | Kellerman | Tuscaloosa | View map |
| 35473 | Northport | Tuscaloosa | View map |
| 35475 | Northport | Tuscaloosa | View map |
| 35476 | Northport | Tuscaloosa | View map |
| 35478 | Peterson | Tuscaloosa | View map |
| 35480 | Ralph | Tuscaloosa | View map |
| 35482 | Samantha | Tuscaloosa | View map |
| 35486 | Tuscaloosa | Tuscaloosa | View map |
| 35487 | Tuscaloosa | Tuscaloosa | View map |
| 35490 | Vance | Tuscaloosa | View map |
Demographics & statistics
234,038
Population
33.4
Median age
$64,252
Median household income
$32,376
Per capita income
$175,628
Median home value
$762
Median monthly rent
74.9%
Home ownership
14.7%
Poverty rate
4.9%
Unemployment
71,029
Housing units
23.5%
Bachelor's or higher
Age distribution
Male
Female
6,651
Under 5
6,229
6,591
5–9
6,172
7,218
10–14
6,759
11,597
15–19
10,861
13,917
20–24
13,033
16,966
25–34
15,890
14,623
35–44
13,694
13,341
45–54
12,495
6,359
55–59
5,955
6,823
60–64
6,390
10,462
65–74
9,797
4,689
75–84
4,391
1,619
85+
1,516
← Male
Female →
Age summary
| Group | Count | % |
|---|---|---|
| Under 18 | 47,867 | 20.5% |
| 18 and over | 186,171 | 79.5% |
| 65 and over | 32,474 | 13.0% |
| Median age | 33.4 years | |
Race & ethnicity
White
60.2%
Black or African American
31.8%
Two or more races
3%
Hispanic or Latino
2.4%
Asian
1.7%
Other race
0.8%
American Indian / Alaska Native
0.2%
| Group | Count | % |
|---|---|---|
| White | 144,273 | 60.2% |
| Black or African American | 76,185 | 31.8% |
| Two or more races | 7,202 | 3% |
| Hispanic or Latino | 5,662 | 2.4% |
| Asian | 3,968 | 1.7% |
| Other race | 1,993 | 0.8% |
| American Indian / Alaska Native | 393 | 0.2% |
Household income
Under $10k
6.1%
$10k–$15k
3.5%
$15k–$25k
9.1%
$25k–$35k
11.4%
$35k–$50k
10.2%
$50k–$75k
17.4%
$75k–$100k
14.5%
$100k–$150k
15.1%
$150k–$200k
6.6%
$200k+
6.1%
| Range | % of households |
|---|---|
| Under $10k | 6.1% |
| $10k–$15k | 3.5% |
| $15k–$25k | 9.1% |
| $25k–$35k | 11.4% |
| $35k–$50k | 10.2% |
| $50k–$75k | 17.4% |
| $75k–$100k | 14.5% |
| $100k–$150k | 15.1% |
| $150k–$200k | 6.6% |
| $200k+ | 6.1% |
| Median income | $64,252 |
Housing
Home values
Under $50k
15.1%
$50k–$100k
8.2%
$100k–$150k
10.1%
$150k–$200k
19.4%
$200k–$300k
25.3%
$300k–$500k
14.8%
$500k–$1M
6.7%
$1M+
0.5%
Housing overview
| Metric | Value |
|---|---|
| Median home value | $175,628 |
| Median rent / month | $762 |
| Owner occupied | 74.9% |
| Renter occupied | 25.1% |
| Vacant | 12.9% |
| Single-family detached | 62.6% |
| Large apartment buildings | 3.9% |
| Mobile homes | 22.8% |
| Median rooms | 5.4 |
| Avg household size (owned) | 2.72 |
Year built
| Era | % |
|---|---|
| 2020 or later | 0.9% |
| 2010–2019 | 12.3% |
| 2000–2009 | 22.7% |
| 1990–1999 | 21.2% |
| 1980–1989 | 13.2% |
| 1970–1979 | 12.2% |
| 1960–1969 | 7.0% |
| 1950–1959 | 4.5% |
| 1940–1949 | 2.8% |
| 1939 or earlier | 3.2% |
Bedrooms
| Size | % of units |
|---|---|
| No bedroom (studio) | 0.7% |
| 1 bedroom | 4.6% |
| 2 bedrooms | 22.3% |
| 3 bedrooms | 50.0% |
| 4 bedrooms | 17.2% |
| 5+ bedrooms | 5.3% |
Vehicles per household
| Vehicles | % of households |
|---|---|
| No vehicle | 3.6% |
| 1 vehicle | 31.0% |
| 2 vehicles | 35.5% |
| 3 or more | 29.9% |
Heating fuel
| Fuel type | % |
|---|---|
| Utility gas | 18.1% |
| Electricity | 77.1% |
| Propane / LP gas | 3.8% |
| Wood | 0.6% |
| No fuel used | 0.1% |
Households & families
| Household type | Count | % |
|---|---|---|
| Married-couple family | 40,210 | 51.3% |
| Cohabiting couple | 3,702 | 4.7% |
| Male householder, no spouse | 16,718 | 18.6% |
| Female householder, no spouse | 25,759 | 25.5% |
| Households with children under 18 | 26,255 | 33.6% |
| Households with seniors (65+) | 22,503 | 26.2% |
| Average household size | 2.65 | |
Marital status
| Status | Male | Female |
|---|---|---|
| Never married | 41.2% | 32.0% |
| Married | 47.9% | 43.3% |
| Separated | 0.8% | 1.3% |
| Widowed | 2.1% | 13.5% |
| Divorced | 8.1% | 9.8% |
Education
Less than 9th grade
3.0%
Some HS, no diploma
7.9%
HS graduate
34.8%
Some college, no degree
21.0%
Associate's degree
9.7%
Bachelor's degree
13.6%
Graduate / professional
9.9%
| Metric | % |
|---|---|
| HS diploma or higher | 89.1% |
| Bachelor's or higher | 23.5% |
School enrollment (ages 3–17)
| Type | Count | % |
|---|---|---|
| Nursery / preschool | 2,672 | 4.7% |
| Kindergarten | 2,623 | 5.4% |
| Elementary school | 21,018 | 32.4% |
| High school | 10,472 | 21.3% |
| College / grad school | 33,280 | 30.7% |
Employment
Industry of employment
Education & healthcare
23.7%
Manufacturing
16.0%
Construction
11.6%
Retail trade
9.8%
Arts, food & hospitality
9.1%
Professional & management
8.6%
Other services
5.5%
Transportation & utilities
4.1%
Finance & real estate
3.5%
Public administration
3.3%
Wholesale trade
2.6%
Agriculture & mining
1.5%
Information
0.9%
Occupation
| Category | % |
|---|---|
| Management, business & arts | 32.6% |
| Service | 16.4% |
| Sales & office | 18.3% |
| Natural resources & construction | 15.3% |
| Production & transportation | 17.4% |
Employment type
| Type | % |
|---|---|
| Private sector | 73.9% |
| Government | 16.0% |
| Self-employed | 10.0% |
| Unpaid family workers | 0.1% |
Commute
| Method | % |
|---|---|
| Drive alone | 80.6% |
| Carpool | 9.9% |
| Public transit | 0.3% |
| Walk | 0.7% |
| Other means | 0.6% |
| Avg commute (minutes) | 24.0 |
Poverty
All people
14.7%
Under 18 years
20.0%
18 and over
13.2%
Married-couple families
4.7%
Female-led households
34.2%
Income support
| Source | % of households |
|---|---|
| Social Security | 31.6% |
| Retirement income | 22.2% |
| Supplemental Security | 4.5% |
| Cash public assistance | 2.6% |
| Food stamps / SNAP | 10.0% |
Health indicators
| Condition | % |
|---|---|
| High blood pressure | 38.3% |
| High cholesterol | 33.2% |
| Heart disease | 6.4% |
| Stroke | 3.2% |
| Asthma | 9.8% |
| Arthritis | 28.1% |
| Kidney disease | 2.8% |
| Pulmonary disease | 7.6% |
| Cancer | 5.9% |
| Behavior / access | % |
|---|---|
| Binge drinking | 17.3% |
| No physical activity | 28.1% |
| Less than 7 hrs sleep | 38.3% |
| Fair or poor health | 17.4% |
| Poor mental health | 17.2% |
| Poor physical health | 11.4% |
| No health insurance | 15.9% |
| Visited doctor (checkup) | 74.5% |
| Visited dentist | 64.4% |
| Cholesterol screening | 89.4% |
| Teeth loss | 15.6% |
Veterans & disability
| Veterans | Count | % |
|---|---|---|
| Civilian veterans | 11,811 | 10.7% |
| Disability | % |
|---|---|
| Any disability | 18.1% |
| Under 18 | 5.2% |
| 18–64 years | 16.8% |
| 65 and over | 34.6% |
Health insurance coverage
| Type | % |
|---|---|
| Private insurance | 68.1% |
| Public insurance | 32.6% |
| Uninsured under 19 | 1.4% |
Language & origin
Language spoken at home (age 5+)
| Language | Count | % |
|---|---|---|
| English only | 221,158 | 95.2% |
| Spanish | 4,336 | 1.3% |
| Other Indo-European | 2,611 | 0.9% |
| Asian & Pacific Islander | 769 | 0.2% |
| Other languages | 853 | 0.2% |
Place of birth & citizenship
| Origin | Count | % |
|---|---|---|
| Native born (US) | 225,706 | 97.5% |
| Born in same state | 224,142 | 97.0% |
| Born in different state | 168,848 | 76.1% |
| Foreign born | 1,564 | 0.5% |
| Naturalized citizen | 8,332 | 2.5% |
| Not a US citizen | 3,348 | 32.8% |
Ancestry
| Ancestry | Count | % |
|---|---|---|
| Arab | 24,831 | 10.6% |
| French | 20,390 | 8.7% |
| Italian | 15,253 | 6.5% |
| English | 1,107 | 0.5% |
| Polish | 628 | 0.3% |
| Ancestry | Count | % |
|---|---|---|
| German | 227 | 0.1% |
| Irish | 196 | 0.1% |
| Norwegian | 149 | 0.1% |
| Dutch | 87 | 0% |
Technology access
| Metric | % of households |
|---|---|
| Computer access | 38.9% |
| Internet access | 92.9% |
Source: U.S. Census Bureau, American Community Survey 2025 estimates.
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