Allendale County, SC ZIP Codes
South Carolina (SC) · 5 ZIP codes · 5 cities
5
ZIP codes
7,858
population (2021)
-24.6%
pop change since 2010
45005
FIPS code
Allendale County ZIP code map
About Allendale County
Allendale County is located in South Carolina and contains 5 ZIP codes across 5 cities and communities.
The county's population was 7,858 as of 2021,
a decrease of
24.6% from 10,419 in 2010.
The timezone is Central Time (observes DST).
The Federal Information Processing System (FIPS) code for Allendale County is 45005.
| Population | |
|---|---|
| 2021 population | 7,858 |
| 2010 population | 10,419 |
| Change | -24.6% |
| County details | |
|---|---|
| State | South Carolina |
| FIPS code | 45005 |
| Timezone | Central |
| Daylight saving | Yes |
Cities in Allendale County
ZIP codes for Allendale County, SC (5)
| ZIP code | City | County | Map |
|---|---|---|---|
| 29810 | Allendale | Allendale | View map |
| 29827 | Fairfax | Allendale | View map |
| 29836 | Martin | Allendale | View map |
| 29846 | Sycamore | Allendale | View map |
| 29849 | Ulmer | Allendale | View map |
Demographics & statistics
8,073
Population
44.3
Median age
$34,355
Median household income
$19,482
Per capita income
$45,025
Median home value
$577
Median monthly rent
64.6%
Home ownership
23.1%
Poverty rate
7.7%
Unemployment
3,027
Housing units
11.6%
Bachelor's or higher
Age distribution
Male
Female
162
Under 5
151
167
5–9
156
262
10–14
245
328
15–19
306
290
20–24
271
428
25–34
398
509
35–44
474
611
45–54
569
326
55–59
304
243
60–64
227
539
65–74
503
237
75–84
220
76
85+
71
← Male
Female →
Age summary
| Group | Count | % |
|---|---|---|
| Under 18 | 1,460 | 16.5% |
| 18 and over | 6,613 | 83.6% |
| 65 and over | 1,646 | 19.8% |
| Median age | 44.3 years | |
Race & ethnicity
Black or African American
69.6%
White
23%
Hispanic or Latino
2.1%
Other race
2%
Two or more races
1.6%
Asian
1.5%
American Indian / Alaska Native
0.2%
| Group | Count | % |
|---|---|---|
| Black or African American | 5,742 | 69.6% |
| White | 1,896 | 23% |
| Hispanic or Latino | 173 | 2.1% |
| Other race | 161 | 2% |
| Two or more races | 135 | 1.6% |
| Asian | 124 | 1.5% |
| American Indian / Alaska Native | 13 | 0.2% |
Household income
Under $10k
10.9%
$10k–$15k
11.8%
$15k–$25k
11.7%
$25k–$35k
8.0%
$35k–$50k
16.4%
$50k–$75k
16.4%
$75k–$100k
9.4%
$100k–$150k
10.6%
$150k–$200k
1.1%
$200k+
3.7%
| Range | % of households |
|---|---|
| Under $10k | 10.9% |
| $10k–$15k | 11.8% |
| $15k–$25k | 11.7% |
| $25k–$35k | 8.0% |
| $35k–$50k | 16.4% |
| $50k–$75k | 16.4% |
| $75k–$100k | 9.4% |
| $100k–$150k | 10.6% |
| $150k–$200k | 1.1% |
| $200k+ | 3.7% |
| Median income | $34,355 |
Housing
Home values
Under $50k
29.0%
$50k–$100k
42.9%
$100k–$150k
11.0%
$150k–$200k
2.5%
$200k–$300k
7.2%
$300k–$500k
7.2%
$500k–$1M
0.2%
Housing overview
| Metric | Value |
|---|---|
| Median home value | $45,025 |
| Median rent / month | $577 |
| Owner occupied | 64.6% |
| Renter occupied | 35.4% |
| Vacant | 24.9% |
| Single-family detached | 67.5% |
| Large apartment buildings | 1.1% |
| Mobile homes | 27.8% |
| Median rooms | 5.6 |
| Avg household size (owned) | 2.36 |
Year built
| Era | % |
|---|---|
| 2020 or later | 0.4% |
| 2010–2019 | 6.8% |
| 2000–2009 | 4.0% |
| 1990–1999 | 22.2% |
| 1980–1989 | 17.0% |
| 1970–1979 | 21.6% |
| 1960–1969 | 8.4% |
| 1950–1959 | 10.9% |
| 1940–1949 | 4.7% |
| 1939 or earlier | 4.1% |
Bedrooms
| Size | % of units |
|---|---|
| No bedroom (studio) | 0.6% |
| 1 bedroom | 3.4% |
| 2 bedrooms | 17.1% |
| 3 bedrooms | 59.8% |
| 4 bedrooms | 18.8% |
| 5+ bedrooms | 0.3% |
Vehicles per household
| Vehicles | % of households |
|---|---|
| No vehicle | 7.2% |
| 1 vehicle | 35.3% |
| 2 vehicles | 32.2% |
| 3 or more | 25.3% |
Heating fuel
| Fuel type | % |
|---|---|
| Utility gas | 12.6% |
| Electricity | 69.1% |
| Propane / LP gas | 7.9% |
| Fuel oil | 4.3% |
| Wood | 1.0% |
| No fuel used | 5.2% |
Households & families
| Household type | Count | % |
|---|---|---|
| Married-couple family | 1,004 | 41.4% |
| Cohabiting couple | 105 | 5.6% |
| Male householder, no spouse | 718 | 16.7% |
| Female householder, no spouse | 1,414 | 36.3% |
| Households with children under 18 | 723 | 25.1% |
| Households with seniors (65+) | 1,281 | 37.6% |
| Average household size | 2.42 | |
Marital status
| Status | Male | Female |
|---|---|---|
| Never married | 41.5% | 35.6% |
| Married | 44.6% | 40.7% |
| Separated | 3.4% | 3.8% |
| Widowed | 0.8% | 11.5% |
| Divorced | 9.7% | 8.5% |
Education
Less than 9th grade
5.8%
Some HS, no diploma
16.2%
HS graduate
41.3%
Some college, no degree
16.8%
Associate's degree
8.3%
Bachelor's degree
6.3%
Graduate / professional
5.3%
| Metric | % |
|---|---|
| HS diploma or higher | 78.0% |
| Bachelor's or higher | 11.6% |
School enrollment (ages 3–17)
| Type | Count | % |
|---|---|---|
| Nursery / preschool | 5 | 0.3% |
| Kindergarten | 30 | 1.0% |
| Elementary school | 699 | 60.3% |
| High school | 486 | 20.8% |
| College / grad school | 199 | 17.7% |
Employment
Industry of employment
Education & healthcare
26.1%
Manufacturing
20.0%
Retail trade
11.8%
Agriculture & mining
11.0%
Arts, food & hospitality
10.5%
Public administration
5.6%
Transportation & utilities
5.2%
Professional & management
4.0%
Other services
2.9%
Finance & real estate
1.1%
Information
0.9%
Construction
0.8%
Wholesale trade
0.3%
Occupation
| Category | % |
|---|---|
| Management, business & arts | 31.1% |
| Service | 21.1% |
| Sales & office | 17.1% |
| Natural resources & construction | 10.2% |
| Production & transportation | 20.7% |
Employment type
| Type | % |
|---|---|
| Private sector | 82.2% |
| Government | 14.8% |
| Self-employed | 2.9% |
| Unpaid family workers | 0.1% |
Commute
| Method | % |
|---|---|
| Drive alone | 81.5% |
| Carpool | 9.9% |
| Public transit | 5.8% |
| Walk | 0.7% |
| Other means | 1.3% |
| Avg commute (minutes) | 37.1 |
Poverty
All people
23.1%
Under 18 years
16.1%
18 and over
22.9%
Married-couple families
10.8%
Female-led households
16.4%
Income support
| Source | % of households |
|---|---|
| Social Security | 50.2% |
| Retirement income | 33.9% |
| Supplemental Security | 6.3% |
| Cash public assistance | 0.9% |
| Food stamps / SNAP | 24.4% |
Health indicators
| Condition | % |
|---|---|
| High blood pressure | 49.9% |
| High cholesterol | 36.8% |
| Heart disease | 8.7% |
| Stroke | 5.9% |
| Asthma | 11.9% |
| Arthritis | 34.4% |
| Kidney disease | 4.5% |
| Pulmonary disease | 10.5% |
| Cancer | 6.2% |
| Behavior / access | % |
|---|---|
| Binge drinking | 13.9% |
| No physical activity | 36.7% |
| Less than 7 hrs sleep | 41.6% |
| Fair or poor health | 26.9% |
| Poor mental health | 16.7% |
| Poor physical health | 16.5% |
| No health insurance | 23.0% |
| Visited doctor (checkup) | 82.1% |
| Visited dentist | 52.3% |
| Cholesterol screening | 89.1% |
| Teeth loss | 26.9% |
Veterans & disability
| Veterans | Count | % |
|---|---|---|
| Civilian veterans | 437 | 7.0% |
| Disability | % |
|---|---|
| Any disability | 24.2% |
| Under 18 | 8.8% |
| 18–64 years | 24.8% |
| 65 and over | 44.0% |
Health insurance coverage
| Type | % |
|---|---|
| Private insurance | 56.5% |
| Public insurance | 49.5% |
| Uninsured under 19 | 2.9% |
Language & origin
Language spoken at home (age 5+)
| Language | Count | % |
|---|---|---|
| English only | 7,760 | 95.8% |
| Spanish | 80 | 2.2% |
| Other Indo-European | 80 | 2.2% |
| Asian & Pacific Islander | 0 | 0.0% |
| Other languages | 0 | 0.0% |
Place of birth & citizenship
| Origin | Count | % |
|---|---|---|
| Native born (US) | 7,993 | 99.1% |
| Born in same state | 7,914 | 98.5% |
| Born in different state | 6,502 | 85.2% |
| Foreign born | 79 | 0.5% |
| Naturalized citizen | 80 | 1.0% |
| Not a US citizen | 18 | 35.4% |
Ancestry
| Ancestry | Count | % |
|---|---|---|
| Arab | 853 | 10.6% |
| Italian | 201 | 2.5% |
| French | 86 | 1.1% |
| Ancestry | Count | % |
|---|---|---|
| English | 14 | 0.2% |
| Polish | 14 | 0.2% |
| Norwegian | 3 | 0% |
Technology access
| Metric | % of households |
|---|---|
| Computer access | 40.0% |
| Internet access | 77.1% |
Source: U.S. Census Bureau, American Community Survey 2025 estimates.
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