Bamberg County, SC ZIP Codes
South Carolina (SC) · 4 ZIP codes · 4 cities
4
ZIP codes
13,189
population (2021)
-17.5%
pop change since 2010
45009
FIPS code
Bamberg County ZIP code map
About Bamberg County
Bamberg County is located in South Carolina and contains 4 ZIP codes across 4 cities and communities.
The county's population was 13,189 as of 2021,
a decrease of
17.5% from 15,987 in 2010.
The timezone is Central Time (observes DST).
The Federal Information Processing System (FIPS) code for Bamberg County is 45009.
| Population | |
|---|---|
| 2021 population | 13,189 |
| 2010 population | 15,987 |
| Change | -17.5% |
| County details | |
|---|---|
| State | South Carolina |
| FIPS code | 45009 |
| Timezone | Central |
| Daylight saving | Yes |
Cities in Bamberg County
ZIP codes for Bamberg County, SC (4)
| ZIP code | City | County | Map |
|---|---|---|---|
| 29003 | Bamberg | Bamberg | View map |
| 29042 | Denmark | Bamberg | View map |
| 29081 | Ehrhardt | Bamberg | View map |
| 29843 | Olar | Bamberg | View map |
Demographics & statistics
12,695
Population
43.9
Median age
$45,794
Median household income
$22,412
Per capita income
$92,975
Median home value
$762
Median monthly rent
76.3%
Home ownership
22.0%
Poverty rate
10.2%
Unemployment
5,056
Housing units
18.2%
Bachelor's or higher
Age distribution
Male
Female
275
Under 5
274
308
5–9
307
385
10–14
382
592
15–19
588
442
20–24
440
573
25–34
569
780
35–44
774
578
45–54
575
472
55–59
469
478
60–64
474
860
65–74
854
450
75–84
447
175
85+
174
← Male
Female →
Age summary
| Group | Count | % |
|---|---|---|
| Under 18 | 2,302 | 19.0% |
| 18 and over | 10,393 | 81.1% |
| 65 and over | 2,960 | 25.1% |
| Median age | 43.9 years | |
Race & ethnicity
Black or African American
63.3%
White
33.9%
Two or more races
1.4%
Hispanic or Latino
0.6%
Other race
0.6%
American Indian / Alaska Native
0.1%
Asian
0.1%
| Group | Count | % |
|---|---|---|
| Black or African American | 8,090 | 63.3% |
| White | 4,325 | 33.9% |
| Two or more races | 174 | 1.4% |
| Hispanic or Latino | 78 | 0.6% |
| Other race | 78 | 0.6% |
| American Indian / Alaska Native | 15 | 0.1% |
| Asian | 13 | 0.1% |
Household income
Under $10k
7.9%
$10k–$15k
12.2%
$15k–$25k
14.5%
$25k–$35k
9.8%
$35k–$50k
9.2%
$50k–$75k
21.0%
$75k–$100k
8.1%
$100k–$150k
10.9%
$150k–$200k
3.6%
$200k+
3.0%
| Range | % of households |
|---|---|
| Under $10k | 7.9% |
| $10k–$15k | 12.2% |
| $15k–$25k | 14.5% |
| $25k–$35k | 9.8% |
| $35k–$50k | 9.2% |
| $50k–$75k | 21.0% |
| $75k–$100k | 8.1% |
| $100k–$150k | 10.9% |
| $150k–$200k | 3.6% |
| $200k+ | 3.0% |
| Median income | $45,794 |
Housing
Home values
Under $50k
27.3%
$50k–$100k
25.9%
$100k–$150k
18.8%
$150k–$200k
10.4%
$200k–$300k
11.1%
$300k–$500k
5.8%
$500k–$1M
0.6%
$1M+
0.1%
Housing overview
| Metric | Value |
|---|---|
| Median home value | $92,975 |
| Median rent / month | $762 |
| Owner occupied | 76.3% |
| Renter occupied | 23.7% |
| Vacant | 28.9% |
| Single-family detached | 66.5% |
| Large apartment buildings | 0.0% |
| Mobile homes | 25.6% |
| Median rooms | 5.7 |
| Avg household size (owned) | 2.44 |
Year built
| Era | % |
|---|---|
| 2020 or later | 0.6% |
| 2010–2019 | 4.7% |
| 2000–2009 | 6.7% |
| 1990–1999 | 17.8% |
| 1980–1989 | 12.6% |
| 1970–1979 | 15.9% |
| 1960–1969 | 14.6% |
| 1950–1959 | 9.3% |
| 1940–1949 | 7.8% |
| 1939 or earlier | 10.1% |
Bedrooms
| Size | % of units |
|---|---|
| No bedroom (studio) | 1.2% |
| 1 bedroom | 5.0% |
| 2 bedrooms | 21.4% |
| 3 bedrooms | 55.2% |
| 4 bedrooms | 13.9% |
| 5+ bedrooms | 3.5% |
Vehicles per household
| Vehicles | % of households |
|---|---|
| No vehicle | 12.2% |
| 1 vehicle | 35.2% |
| 2 vehicles | 29.9% |
| 3 or more | 22.8% |
Heating fuel
| Fuel type | % |
|---|---|
| Utility gas | 9.5% |
| Electricity | 74.6% |
| Propane / LP gas | 13.5% |
| Fuel oil | 2.2% |
| Wood | 0.3% |
Households & families
| Household type | Count | % |
|---|---|---|
| Married-couple family | 1,704 | 40.9% |
| Cohabiting couple | 222 | 4.7% |
| Male householder, no spouse | 841 | 20.4% |
| Female householder, no spouse | 1,637 | 34.1% |
| Households with children under 18 | 1,131 | 25.5% |
| Households with seniors (65+) | 2,102 | 46.2% |
| Average household size | 2.64 | |
Marital status
| Status | Male | Female |
|---|---|---|
| Never married | 38.8% | 27.9% |
| Married | 41.8% | 44.9% |
| Separated | 3.8% | 3.7% |
| Widowed | 7.0% | 14.5% |
| Divorced | 8.7% | 9.1% |
Education
Less than 9th grade
5.0%
Some HS, no diploma
16.9%
HS graduate
34.6%
Some college, no degree
13.9%
Associate's degree
11.5%
Bachelor's degree
10.0%
Graduate / professional
8.3%
| Metric | % |
|---|---|
| HS diploma or higher | 78.2% |
| Bachelor's or higher | 18.2% |
School enrollment (ages 3–17)
| Type | Count | % |
|---|---|---|
| Nursery / preschool | 282 | 7.3% |
| Kindergarten | 175 | 7.0% |
| Elementary school | 919 | 47.6% |
| High school | 530 | 12.1% |
| College / grad school | 1,364 | 26.2% |
Employment
Industry of employment
Education & healthcare
24.2%
Manufacturing
22.2%
Retail trade
12.4%
Construction
10.2%
Transportation & utilities
6.6%
Arts, food & hospitality
5.3%
Agriculture & mining
5.2%
Public administration
4.5%
Other services
3.6%
Professional & management
3.2%
Finance & real estate
1.6%
Wholesale trade
0.9%
Information
0.1%
Occupation
| Category | % |
|---|---|
| Management, business & arts | 29.3% |
| Service | 17.2% |
| Sales & office | 15.4% |
| Natural resources & construction | 9.8% |
| Production & transportation | 28.3% |
Employment type
| Type | % |
|---|---|
| Private sector | 73.2% |
| Government | 16.8% |
| Self-employed | 9.4% |
| Unpaid family workers | 0.7% |
Commute
| Method | % |
|---|---|
| Drive alone | 76.6% |
| Carpool | 12.1% |
| Public transit | 2.5% |
| Walk | 1.5% |
| Other means | 1.9% |
| Avg commute (minutes) | 31.7 |
Poverty
All people
22.0%
Under 18 years
29.5%
18 and over
19.5%
Married-couple families
11.4%
Female-led households
26.6%
Income support
| Source | % of households |
|---|---|
| Social Security | 49.4% |
| Retirement income | 26.5% |
| Supplemental Security | 8.2% |
| Cash public assistance | 3.7% |
| Food stamps / SNAP | 23.1% |
Health indicators
| Condition | % |
|---|---|
| High blood pressure | 44.1% |
| High cholesterol | 37.1% |
| Heart disease | 7.9% |
| Stroke | 4.8% |
| Asthma | 11.1% |
| Arthritis | 31.7% |
| Kidney disease | 3.9% |
| Pulmonary disease | 8.8% |
| Cancer | 6.7% |
| Behavior / access | % |
|---|---|
| Binge drinking | 14.9% |
| No physical activity | 31.5% |
| Less than 7 hrs sleep | 38.7% |
| Fair or poor health | 20.6% |
| Poor mental health | 15.7% |
| Poor physical health | 13.6% |
| No health insurance | 19.2% |
| Visited doctor (checkup) | 81.5% |
| Visited dentist | 59.5% |
| Cholesterol screening | 89.3% |
| Teeth loss | 20.0% |
Veterans & disability
| Veterans | Count | % |
|---|---|---|
| Civilian veterans | 510 | 5.8% |
| Disability | % |
|---|---|
| Any disability | 19.2% |
| Under 18 | 3.9% |
| 18–64 years | 16.4% |
| 65 and over | 39.7% |
Health insurance coverage
| Type | % |
|---|---|
| Private insurance | 54.9% |
| Public insurance | 46.9% |
| Uninsured under 19 | 12.6% |
Language & origin
Language spoken at home (age 5+)
| Language | Count | % |
|---|---|---|
| English only | 12,146 | 95.9% |
| Spanish | 46 | 0.2% |
| Other Indo-European | 46 | 0.2% |
| Asian & Pacific Islander | 0 | 0.0% |
| Other languages | 0 | 0.0% |
Place of birth & citizenship
| Origin | Count | % |
|---|---|---|
| Native born (US) | 12,187 | 97.3% |
| Born in same state | 12,118 | 96.8% |
| Born in different state | 9,588 | 77.2% |
| Foreign born | 69 | 0.5% |
| Naturalized citizen | 508 | 2.7% |
| Not a US citizen | 203 | 11.0% |
Ancestry
| Ancestry | Count | % |
|---|---|---|
| Arab | 2,171 | 17.1% |
| French | 270 | 2.1% |
| Italian | 137 | 1.1% |
| Ancestry | Count | % |
|---|---|---|
| Polish | 15 | 0.1% |
| Dutch | 14 | 0.1% |
| German | 7 | 0.1% |
Technology access
| Metric | % of households |
|---|---|
| Computer access | 37.0% |
| Internet access | 83.9% |
Source: U.S. Census Bureau, American Community Survey 2025 estimates.
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