Counties in South Carolina by poverty rate (US five-year survey estimate)

Dillon County had the highest poverty rate (US five-year survey estimate) of 46 counties in 2022, at 31.6%. York County had the lowest, at 8.4%. The median was 17.2% and the figure for South Carolina was 14.4%. Source: the U.S. Census Bureau.

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Highest31.6Dillon County
Lowest8.4York County
Median17.246 counties
South Carolina14.4History

Map of counties, 2022

Abbeville County: 15.9 %Aiken County: 14.2 %Allendale County: 27.2 %Anderson County: 14.3 %Bamberg County: 22.3 %Barnwell County: 25.3 %Beaufort County: 10.4 %Berkeley County: 10.9 %Calhoun County: 18.7 %Charleston County: 12.3 %Cherokee County: 18 %Chester County: 19 %Chesterfield County: 20.3 %Clarendon County: 19.5 %Colleton County: 16.6 %Darlington County: 20.2 %Dillon County: 31.6 %Dorchester County: 12.3 %Edgefield County: 17 %Fairfield County: 18.7 %Florence County: 17.8 %Georgetown County: 16 %Greenville County: 10.9 %Greenwood County: 17.3 %Hampton County: 20 %Horry County: 13.1 %Jasper County: 17.9 %Kershaw County: 14.4 %Lancaster County: 12.1 %Laurens County: 18.8 %Lee County: 27.8 %Lexington County: 11.6 %McCormick County: 16.7 %Marion County: 27.4 %Marlboro County: 27.8 %Newberry County: 15.5 %Oconee County: 15.7 %Orangeburg County: 25 %Pickens County: 16.9 %Richland County: 16.8 %Saluda County: 17.9 %Spartanburg County: 14.4 %Sumter County: 16.4 %Union County: 21.1 %Williamsburg County: 23.5 %York County: 8.4 %
  • Under 13
  • 13 to 16
  • 16 to 17
  • 17 to 19
  • 19 to 23
  • 23 and over
%, 2022. Source: Invokely calculation with data from U.S. Census Bureau. Boundaries: U.S. Census Bureau cartographic boundary files.

All counties, 2022

Dillon County: 31.6 %Dillon County31.6Marlboro County: 27.8 %Marlboro County27.8Lee County: 27.8 %Lee County27.8Marion County: 27.4 %Marion County27.4Allendale County: 27.2 %Allendale County27.2Barnwell County: 25.3 %Barnwell County25.3Orangeburg County: 25 %Orangeburg County25Williamsburg County: 23.5 %Williamsburg County23.5Bamberg County: 22.3 %Bamberg County22.3Union County: 21.1 %Union County21.1Chesterfield County: 20.3 %Chesterfield County20.3Darlington County: 20.2 %Darlington County20.2Hampton County: 20 %Hampton County20Clarendon County: 19.5 %Clarendon County19.5Chester County: 19 %Chester County19Laurens County: 18.8 %Laurens County18.8Fairfield County: 18.7 %Fairfield County18.7Calhoun County: 18.7 %Calhoun County18.7Cherokee County: 18 %Cherokee County18Jasper County: 17.9 %Jasper County17.9Saluda County: 17.9 %Saluda County17.9Florence County: 17.8 %Florence County17.8Greenwood County: 17.3 %Greenwood County17.3Edgefield County: 17 %Edgefield County17Pickens County: 16.9 %Pickens County16.9Richland County: 16.8 %Richland County16.8McCormick County: 16.7 %McCormick County16.7Colleton County: 16.6 %Colleton County16.6Sumter County: 16.4 %Sumter County16.4Georgetown County: 16 %Georgetown County16Abbeville County: 15.9 %Abbeville County15.9Oconee County: 15.7 %Oconee County15.7Newberry County: 15.5 %Newberry County15.5Kershaw County: 14.4 %Kershaw County14.4Spartanburg County: 14.4 %Spartanburg County14.4Anderson County: 14.3 %Anderson County14.3Aiken County: 14.2 %Aiken County14.2Horry County: 13.1 %Horry County13.1Dorchester County: 12.3 %Dorchester County12.3Charleston County: 12.3 %Charleston County12.3Lancaster County: 12.1 %Lancaster County12.1Lexington County: 11.6 %Lexington County11.6Berkeley County: 10.9 %Berkeley County10.9Greenville County: 10.9 %Greenville County10.9Beaufort County: 10.4 %Beaufort County10.4York County: 8.4 %York County8.4Dillon County: 31.6 %Dillon County31.6Marlboro County: 27.8 %Marlboro County27.8Lee County: 27.8 %Lee County27.8Marion County: 27.4 %Marion County27.4Allendale County: 27.2 %Allendale County27.2Barnwell County: 25.3 %Barnwell County25.3Orangeburg County: 25 %Orangeburg County25Williamsburg County: 23.5 %Williamsburg County23.5Bamberg County: 22.3 %Bamberg County22.3Union County: 21.1 %Union County21.1Chesterfield County: 20.3 %Chesterfield County20.3Darlington County: 20.2 %Darlington County20.2Hampton County: 20 %Hampton County20Clarendon County: 19.5 %Clarendon County19.5Chester County: 19 %Chester County19Laurens County: 18.8 %Laurens County18.8Fairfield County: 18.7 %Fairfield County18.7Calhoun County: 18.7 %Calhoun County18.7Cherokee County: 18 %Cherokee County18Jasper County: 17.9 %Jasper County17.9Saluda County: 17.9 %Saluda County17.9Florence County: 17.8 %Florence County17.8Greenwood County: 17.3 %Greenwood County17.3Edgefield County: 17 %Edgefield County17Pickens County: 16.9 %Pickens County16.9Richland County: 16.8 %Richland County16.8McCormick County: 16.7 %McCormick County16.7Colleton County: 16.6 %Colleton County16.6Sumter County: 16.4 %Sumter County16.4Georgetown County: 16 %Georgetown County16Abbeville County: 15.9 %Abbeville County15.9Oconee County: 15.7 %Oconee County15.7Newberry County: 15.5 %Newberry County15.5Kershaw County: 14.4 %Kershaw County14.4Spartanburg County: 14.4 %Spartanburg County14.4Anderson County: 14.3 %Anderson County14.3Aiken County: 14.2 %Aiken County14.2Horry County: 13.1 %Horry County13.1Dorchester County: 12.3 %Dorchester County12.3Charleston County: 12.3 %Charleston County12.3Lancaster County: 12.1 %Lancaster County12.1Lexington County: 11.6 %Lexington County11.6Berkeley County: 10.9 %Berkeley County10.9Greenville County: 10.9 %Greenville County10.9Beaufort County: 10.4 %Beaufort County10.4York County: 8.4 %York County8.4
%. Source: Invokely calculation with data from U.S. Census Bureau. Retrieved 2026-10-12.

Full ranking

RankCounties2022 (%)Change on 2021
1Dillon County31.6+0.4 pts
2Marlboro County27.8-0.2 pts
3Lee County27.8+5 pts
4Marion County27.4+1.8 pts
5Allendale County27.2-0.2 pts
6Barnwell County25.3-4.7 pts
7Orangeburg County25+0.1 pts
8Williamsburg County23.5+1.1 pts
9Bamberg County22.3+3.8 pts
10Union County21.1+0.2 pts
11Chesterfield County20.3-0.4 pts
12Darlington County20.2-0.1 pts
13Hampton County20-0.5 pts
14Clarendon County19.5-0.4 pts
15Chester County19+0.8 pts
16Laurens County18.8-1.9 pts
17Fairfield County18.7+0.9 pts
18Calhoun County18.7-1.4 pts
19Cherokee County18-0 pts
20Jasper County17.9-0.6 pts
21Saluda County17.9+0.4 pts
22Florence County17.8+0.2 pts
23Greenwood County17.3+0.2 pts
24Edgefield County17+0.6 pts
25Pickens County16.9-0.3 pts
26Richland County16.8+0.1 pts
27McCormick County16.7+1.3 pts
28Colleton County16.6-1.7 pts
29Sumter County16.4-1.7 pts
30Georgetown County16-0.4 pts
31Abbeville County15.9-1.3 pts
32Oconee County15.7+0.3 pts
33Newberry County15.5-0.1 pts
34Kershaw County14.4-0.3 pts
35Spartanburg County14.4+0.5 pts
36Anderson County14.3+0.3 pts
37Aiken County14.2+0.9 pts
38Horry County13.1-0.7 pts
39Dorchester County12.3+0.3 pts
40Charleston County12.3-0.3 pts
41Lancaster County12.1-0 pts
42Lexington County11.6-0.3 pts
43Berkeley County10.9-0.5 pts
44Greenville County10.9-0.3 pts
45Beaufort County10.4+0.2 pts
46York County8.4-0.7 pts

Other periods

About this ranking

People with income in the past 12 months below the official US poverty thresholds, as a percentage of people whose poverty status is determined. United States: American Community Survey five-year estimate, where the period shown is the last year of the five-year span.

The headline single-year rate for states and counties is poverty_rate (SAIPE). Poverty status is not determined for people in institutions, military group quarters or college dormitories, or for unrelated children under 15. Absolute thresholds set by the US government, so not comparable with the EU at_risk_of_poverty_rate.

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 B17001: population with income in the past 12 months below the poverty level as a percentage of the population for whom poverty status is determined, calculated with stored inputs. https://www2.census.gov/programs-surveys/acs/summary_file/2022/table-based-SF/data/5YRData/acsdt5y2022-b17001.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 B17001: population with income in the past 12 months below the poverty level as a percentage of the population for whom poverty status is determined, calculated with stored inputs (Counties in South Carolina by poverty rate (US five-year survey estimate), 2022) [Data set]. Retrieved October 12, 2026, from https://www2.census.gov/programs-surveys/acs/summary_file/2022/table-based-SF/data/5YRData/acsdt5y2022-b17001.dat

MLA 9

American Community Survey 5-year estimates, table B17001: population with income in the past 12 months below the poverty level as a percentage of the population for whom poverty status is determined, calculated with stored inputs, Counties in South Carolina by poverty rate (US five-year survey estimate), 2022. U.S. Census Bureau, 29 Jan. 2026, https://www2.census.gov/programs-surveys/acs/summary_file/2022/table-based-SF/data/5YRData/acsdt5y2022-b17001.dat. Invokely, https://invokely.ai/rankings/poverty-rate-acs/south-carolina-counties?period=2022. Accessed 12 Oct. 2026.

Chicago (author-date)

U.S. Census Bureau. 2026. American Community Survey 5-year estimates, table B17001: population with income in the past 12 months below the poverty level as a percentage of the population for whom poverty status is determined, calculated with stored inputs. Counties in South Carolina by poverty rate (US five-year survey estimate), 2022. Dataset. Accessed October 12, 2026. https://www2.census.gov/programs-surveys/acs/summary_file/2022/table-based-SF/data/5YRData/acsdt5y2022-b17001.dat. Also distributed by Invokely, https://invokely.ai/rankings/poverty-rate-acs/south-carolina-counties?period=2022.

Harvard

U.S. Census Bureau (2026) American Community Survey 5-year estimates, table B17001: population with income in the past 12 months below the poverty level as a percentage of the population for whom poverty status is determined, calculated with stored inputs, Counties in South Carolina by poverty rate (US five-year survey estimate), 2022 [Dataset]. Available at: https://www2.census.gov/programs-surveys/acs/summary_file/2022/table-based-SF/data/5YRData/acsdt5y2022-b17001.dat, via Invokely: https://invokely.ai/rankings/poverty-rate-acs/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 B17001: population with income in the past 12 months below the poverty level as a percentage of the population for whom poverty status is determined, calculated with stored inputs: Counties in South Carolina by poverty rate (US five-year survey estimate), 2022}},
  year = {2026},
  howpublished = {Data set},
  url = {https://www2.census.gov/programs-surveys/acs/summary_file/2022/table-based-SF/data/5YRData/acsdt5y2022-b17001.dat},
  urldate = {2026-10-12},
  note = {Accessed via Invokely, https://invokely.ai/rankings/poverty-rate-acs/south-carolina-counties?period=2022. Publisher attribution: U.S. Census Bureau. American Community Survey 5-year estimates, table B17001: population with income in the past 12 months below the poverty level as a percentage of the population for whom poverty status is determined, calculated with stored inputs. https://www2.census.gov/programs-surveys/acs/summary\_file/2022/table-based-SF/data/5YRData/acsdt5y2022-b17001.dat. Retrieved 2026-10-12.},
}
RIS
TY  - DATA
AU  - U.S. Census Bureau
TI  - American Community Survey 5-year estimates, table B17001: population with income in the past 12 months below the poverty level as a percentage of the population for whom poverty status is determined, calculated with stored inputs: Counties in South Carolina by poverty rate (US five-year survey estimate), 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-b17001.dat
L2  - https://invokely.ai/rankings/poverty-rate-acs/south-carolina-counties?period=2022
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/poverty-rate-acs/south-carolina-counties?period=2022.
N1  - Publisher attribution: U.S. Census Bureau. American Community Survey 5-year estimates, table B17001: population with income in the past 12 months below the poverty level as a percentage of the population for whom poverty status is determined, calculated with stored inputs. https://www2.census.gov/programs-surveys/acs/summary_file/2022/table-based-SF/data/5YRData/acsdt5y2022-b17001.dat. Retrieved 2026-10-12.
ER  - 
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Questions

Which county has the highest poverty rate (US five-year survey estimate)?

Dillon County, with 31.6% in 2022, according to the U.S. Census Bureau.

Which county has the lowest poverty rate (US five-year survey estimate)?

York County, with 8.4% 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 B17001: population with income in the past 12 months below the poverty level as a percentage of the population for whom poverty status is determined, calculated with stored inputs. Retrieved 2026-10-12.

Poverty rate (US five-year survey estimate): other rankings

Counties in South Carolina: more rankings