Counties in South Carolina by rent-burdened renter households (rent 30 percent or more of income)

Bamberg County had the highest rent-burdened renter households (rent 30 percent or more of income) of 46 counties in 2022, at 60.1%. Allendale County had the lowest, at 28.6%. The median was 48.5% and the figure for South Carolina was 50.3%. Source: the U.S. Census Bureau.

Keep it in a collection in your library.
Highest60.1Bamberg County
Median48.546 counties
South Carolina50.3History

Map of counties, 2022

Abbeville County: 48.5 %Aiken County: 48.7 %Allendale County: 28.6 %Anderson County: 43.7 %Bamberg County: 60.1 %Barnwell County: 43.6 %Beaufort County: 49.8 %Berkeley County: 48.4 %Calhoun County: 59.5 %Charleston County: 53.5 %Cherokee County: 47.2 %Chester County: 45.6 %Chesterfield County: 48.3 %Clarendon County: 55.8 %Colleton County: 44.7 %Darlington County: 53.4 %Dillon County: 53.7 %Dorchester County: 52.8 %Edgefield County: 58.5 %Fairfield County: 58.4 %Florence County: 48.3 %Georgetown County: 51.1 %Greenville County: 48.6 %Greenwood County: 50.7 %Hampton County: 48 %Horry County: 51.8 %Jasper County: 41.7 %Kershaw County: 54.3 %Lancaster County: 47.6 %Laurens County: 47.4 %Lee County: 54.8 %Lexington County: 45.2 %McCormick County: 54.9 %Marion County: 40 %Marlboro County: 43.4 %Newberry County: 46.8 %Oconee County: 53 %Orangeburg County: 55.3 %Pickens County: 54.7 %Richland County: 56.2 %Saluda County: 46.2 %Spartanburg County: 48.1 %Sumter County: 47.8 %Union County: 47.3 %Williamsburg County: 54 %York County: 46.6 %
  • Under 45
  • 45 to 48
  • 48 to 49
  • 49 to 53
  • 53 to 55
  • 55 and over
%, 2022. Source: Invokely calculation with data from U.S. Census Bureau. Boundaries: U.S. Census Bureau cartographic boundary files.

All counties, 2022

Bamberg County: 60.1 %Bamberg County60.1Calhoun County: 59.5 %Calhoun County59.5Edgefield County: 58.5 %Edgefield County58.5Fairfield County: 58.4 %Fairfield County58.4Richland County: 56.2 %Richland County56.2Clarendon County: 55.8 %Clarendon County55.8Orangeburg County: 55.3 %Orangeburg County55.3McCormick County: 54.9 %McCormick County54.9Lee County: 54.8 %Lee County54.8Pickens County: 54.7 %Pickens County54.7Kershaw County: 54.3 %Kershaw County54.3Williamsburg County: 54 %Williamsburg County54Dillon County: 53.7 %Dillon County53.7Charleston County: 53.5 %Charleston County53.5Darlington County: 53.4 %Darlington County53.4Oconee County: 53 %Oconee County53Dorchester County: 52.8 %Dorchester County52.8Horry County: 51.8 %Horry County51.8Georgetown County: 51.1 %Georgetown County51.1Greenwood County: 50.7 %Greenwood County50.7Beaufort County: 49.8 %Beaufort County49.8Aiken County: 48.7 %Aiken County48.7Greenville County: 48.6 %Greenville County48.6Abbeville County: 48.5 %Abbeville County48.5Berkeley County: 48.4 %Berkeley County48.4Chesterfield County: 48.3 %Chesterfield County48.3Florence County: 48.3 %Florence County48.3Spartanburg County: 48.1 %Spartanburg County48.1Hampton County: 48 %Hampton County48Sumter County: 47.8 %Sumter County47.8Lancaster County: 47.6 %Lancaster County47.6Laurens County: 47.4 %Laurens County47.4Union County: 47.3 %Union County47.3Cherokee County: 47.2 %Cherokee County47.2Newberry County: 46.8 %Newberry County46.8York County: 46.6 %York County46.6Saluda County: 46.2 %Saluda County46.2Chester County: 45.6 %Chester County45.6Lexington County: 45.2 %Lexington County45.2Colleton County: 44.7 %Colleton County44.7Anderson County: 43.7 %Anderson County43.7Barnwell County: 43.6 %Barnwell County43.6Marlboro County: 43.4 %Marlboro County43.4Jasper County: 41.7 %Jasper County41.7Marion County: 40 %Marion County40Allendale County: 28.6 %Allendale County28.6Bamberg County: 60.1 %Bamberg County60.1Calhoun County: 59.5 %Calhoun County59.5Edgefield County: 58.5 %Edgefield County58.5Fairfield County: 58.4 %Fairfield County58.4Richland County: 56.2 %Richland County56.2Clarendon County: 55.8 %Clarendon County55.8Orangeburg County: 55.3 %Orangeburg County55.3McCormick County: 54.9 %McCormick County54.9Lee County: 54.8 %Lee County54.8Pickens County: 54.7 %Pickens County54.7Kershaw County: 54.3 %Kershaw County54.3Williamsburg County: 54 %Williamsburg County54Dillon County: 53.7 %Dillon County53.7Charleston County: 53.5 %Charleston County53.5Darlington County: 53.4 %Darlington County53.4Oconee County: 53 %Oconee County53Dorchester County: 52.8 %Dorchester County52.8Horry County: 51.8 %Horry County51.8Georgetown County: 51.1 %Georgetown County51.1Greenwood County: 50.7 %Greenwood County50.7Beaufort County: 49.8 %Beaufort County49.8Aiken County: 48.7 %Aiken County48.7Greenville County: 48.6 %Greenville County48.6Abbeville County: 48.5 %Abbeville County48.5Berkeley County: 48.4 %Berkeley County48.4Chesterfield County: 48.3 %Chesterfield County48.3Florence County: 48.3 %Florence County48.3Spartanburg County: 48.1 %Spartanburg County48.1Hampton County: 48 %Hampton County48Sumter County: 47.8 %Sumter County47.8Lancaster County: 47.6 %Lancaster County47.6Laurens County: 47.4 %Laurens County47.4Union County: 47.3 %Union County47.3Cherokee County: 47.2 %Cherokee County47.2Newberry County: 46.8 %Newberry County46.8York County: 46.6 %York County46.6Saluda County: 46.2 %Saluda County46.2Chester County: 45.6 %Chester County45.6Lexington County: 45.2 %Lexington County45.2Colleton County: 44.7 %Colleton County44.7Anderson County: 43.7 %Anderson County43.7Barnwell County: 43.6 %Barnwell County43.6Marlboro County: 43.4 %Marlboro County43.4Jasper County: 41.7 %Jasper County41.7Marion County: 40 %Marion County40Allendale County: 28.6 %Allendale County28.6
%. Source: Invokely calculation with data from U.S. Census Bureau. Retrieved 2026-10-12.

Full ranking

RankCounties2022 (%)Change on 2021
1Bamberg County60.1-3.1 pts
2Calhoun County59.5+2.6 pts
3Edgefield County58.5-3.5 pts
4Fairfield County58.4-0.8 pts
5Richland County56.2+1.3 pts
6Clarendon County55.8+2.5 pts
7Orangeburg County55.3+1.3 pts
8McCormick County54.9+7.2 pts
9Lee County54.8-7.7 pts
10Pickens County54.7+2.2 pts
11Kershaw County54.3-0.7 pts
12Williamsburg County54+4.7 pts
13Dillon County53.7+2.5 pts
14Charleston County53.5-0.5 pts
15Darlington County53.4+0.4 pts
16Oconee County53-1.9 pts
17Dorchester County52.8+1.3 pts
18Horry County51.8+0.4 pts
19Georgetown County51.1+4.2 pts
20Greenwood County50.7+2 pts
21Beaufort County49.8-2.8 pts
22Aiken County48.7-0 pts
23Greenville County48.6+1 pts
24Abbeville County48.5-4.3 pts
25Berkeley County48.4+2.2 pts
26Chesterfield County48.3+1.7 pts
27Florence County48.3+2.1 pts
28Spartanburg County48.1+0.1 pts
29Hampton County48+0.8 pts
30Sumter County47.8-2 pts
31Lancaster County47.6+0.2 pts
32Laurens County47.4-3 pts
33Union County47.3-0.2 pts
34Cherokee County47.2+1.6 pts
35Newberry County46.8-4.1 pts
36York County46.6-0.3 pts
37Saluda County46.2-7.2 pts
38Chester County45.6+1 pts
39Lexington County45.2+0.2 pts
40Colleton County44.7+0.9 pts
41Anderson County43.7+0.4 pts
42Barnwell County43.6+1 pts
43Marlboro County43.4-2.8 pts
44Jasper County41.7-8.6 pts
45Marion County40-4.5 pts
46Allendale County28.6-11.7 pts

Other periods

About this ranking

Renter households whose gross rent (contract rent plus utilities and fuels the renter pays) was 30 percent or more of household income in the past 12 months, as a percentage of renter households for which that ratio can be computed. United States: American Community Survey five-year estimate, where the period shown is the last year of the five-year span.

Renters who pay no cash rent and households with no or negative income are left out of both the count and the base. 30 percent is the usual US threshold for rent burden. The EU housing cost overburden rate (housing_cost_overburden_rate) uses 40 percent of disposable income, all housing costs and people instead of households, so the two cannot be compared.

Every value in the ranking comes from the same publisher and the same period, so the counties are compared on one definition. Equal values share a rank.

How to cite

U.S. Census Bureau. American Community Survey 5-year estimates, table B25070: renter-occupied units with gross rent of 30 percent or more of household income, as a percentage of units where it is computed, calculated with stored inputs. https://www2.census.gov/programs-surveys/acs/summary_file/2022/table-based-SF/data/5YRData/acsdt5y2022-b25070.dat. Retrieved 2026-10-12.

Citation styles

The publisher is the author. Invokely is named only as the place the figures were read, where a style asks for it.

APA 7

U.S. Census Bureau. (2026). American Community Survey 5-year estimates, table B25070: renter-occupied units with gross rent of 30 percent or more of household income, as a percentage of units where it is computed, calculated with stored inputs (Counties in South Carolina by rent-burdened renter households (rent 30 percent or more of income), 2022) [Data set]. Retrieved October 12, 2026, from https://www2.census.gov/programs-surveys/acs/summary_file/2022/table-based-SF/data/5YRData/acsdt5y2022-b25070.dat

MLA 9

American Community Survey 5-year estimates, table B25070: renter-occupied units with gross rent of 30 percent or more of household income, as a percentage of units where it is computed, calculated with stored inputs, Counties in South Carolina by rent-burdened renter households (rent 30 percent or more of income), 2022. U.S. Census Bureau, 29 Jan. 2026, https://www2.census.gov/programs-surveys/acs/summary_file/2022/table-based-SF/data/5YRData/acsdt5y2022-b25070.dat. Invokely, https://invokely.ai/rankings/rent-burdened-households/south-carolina-counties?period=2022. Accessed 12 Oct. 2026.

Chicago (author-date)

U.S. Census Bureau. 2026. American Community Survey 5-year estimates, table B25070: renter-occupied units with gross rent of 30 percent or more of household income, as a percentage of units where it is computed, calculated with stored inputs. Counties in South Carolina by rent-burdened renter households (rent 30 percent or more of income), 2022. Dataset. Accessed October 12, 2026. https://www2.census.gov/programs-surveys/acs/summary_file/2022/table-based-SF/data/5YRData/acsdt5y2022-b25070.dat. Also distributed by Invokely, https://invokely.ai/rankings/rent-burdened-households/south-carolina-counties?period=2022.

Harvard

U.S. Census Bureau (2026) American Community Survey 5-year estimates, table B25070: renter-occupied units with gross rent of 30 percent or more of household income, as a percentage of units where it is computed, calculated with stored inputs, Counties in South Carolina by rent-burdened renter households (rent 30 percent or more of income), 2022 [Dataset]. Available at: https://www2.census.gov/programs-surveys/acs/summary_file/2022/table-based-SF/data/5YRData/acsdt5y2022-b25070.dat, via Invokely: https://invokely.ai/rankings/rent-burdened-households/south-carolina-counties?period=2022 (Accessed: 12 October 2026).

BibTeX
@misc{census_counties_in_south_carolina_2022,
  author = {{U.S. Census Bureau}},
  title = {{American Community Survey 5-year estimates, table B25070: renter-occupied units with gross rent of 30 percent or more of household income, as a percentage of units where it is computed, calculated with stored inputs: Counties in South Carolina by rent-burdened renter households (rent 30 percent or more of income), 2022}},
  year = {2026},
  howpublished = {Data set},
  url = {https://www2.census.gov/programs-surveys/acs/summary_file/2022/table-based-SF/data/5YRData/acsdt5y2022-b25070.dat},
  urldate = {2026-10-12},
  note = {Accessed via Invokely, https://invokely.ai/rankings/rent-burdened-households/south-carolina-counties?period=2022. Publisher attribution: U.S. Census Bureau. American Community Survey 5-year estimates, table B25070: renter-occupied units with gross rent of 30 percent or more of household income, as a percentage of units where it is computed, calculated with stored inputs. https://www2.census.gov/programs-surveys/acs/summary\_file/2022/table-based-SF/data/5YRData/acsdt5y2022-b25070.dat. Retrieved 2026-10-12.},
}
RIS
TY  - DATA
AU  - U.S. Census Bureau
TI  - American Community Survey 5-year estimates, table B25070: renter-occupied units with gross rent of 30 percent or more of household income, as a percentage of units where it is computed, calculated with stored inputs: Counties in South Carolina by rent-burdened renter households (rent 30 percent or more of income), 2022
PY  - 2026
DA  - 2026/01/29
PB  - U.S. Census Bureau
DB  - Invokely
UR  - https://www2.census.gov/programs-surveys/acs/summary_file/2022/table-based-SF/data/5YRData/acsdt5y2022-b25070.dat
L2  - https://invokely.ai/rankings/rent-burdened-households/south-carolina-counties?period=2022
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/rent-burdened-households/south-carolina-counties?period=2022.
N1  - Publisher attribution: U.S. Census Bureau. American Community Survey 5-year estimates, table B25070: renter-occupied units with gross rent of 30 percent or more of household income, as a percentage of units where it is computed, calculated with stored inputs. https://www2.census.gov/programs-surveys/acs/summary_file/2022/table-based-SF/data/5YRData/acsdt5y2022-b25070.dat. Retrieved 2026-10-12.
ER  - 
Embed this chart

Paste this code into a web page or a blog post. The chart shows the latest figures as they are published, with the source and a link back to this page.

Sites that read oEmbed links, such as WordPress, can show the chart when you paste the link to this page.

Use this data in your AI agent

Invokely serves this figure to AI assistants through MCP and to code through a REST API, with the source and citation attached. Ask your assistant:

Rank Counties in South Carolina by rent-burdened renter households (rent 30 percent or more of income) using official data, and cite the source.
rank_places {"indicator":"rent_burden_30_plus_share","level":"province","within":"South Carolina","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=rent_burden_30_plus_share&level=province&within=South%20Carolina&limit=10

Connect Claude, ChatGPT or Cursor in one step. The trial answers 25 calls a day without an account.

Questions

Which county has the highest rent-burdened renter households (rent 30 percent or more of income)?

Bamberg County, with 60.1% in 2022, according to the U.S. Census Bureau.

Which county has the lowest rent-burdened renter households (rent 30 percent or more of income)?

Allendale County, with 28.6% in 2022.

Where does this ranking come from?

Every value comes from one source and one period, so the places are comparable: U.S. Census Bureau, American Community Survey 5-year estimates, table B25070: renter-occupied units with gross rent of 30 percent or more of household income, as a percentage of units where it is computed, calculated with stored inputs. Retrieved 2026-10-12.

Rent-burdened renter households (rent 30 percent or more of income): other rankings

Counties in South Carolina: more rankings