Counties in South Carolina by female population share

Marion County had the highest female population share of 46 counties in 2017, at 54.1%. McCormick County had the lowest, at 46.4%. The median was 51.5% and the figure for South Carolina was 51.5%. Source: the U.S. Census Bureau.

Keep it in a collection in your library.
Highest54.1Marion County
Median51.546 counties
South Carolina51.5History

Map of counties, 2017

Abbeville County: 51.4 %Aiken County: 51.8 %Allendale County: 46.4 %Anderson County: 51.8 %Bamberg County: 52.3 %Barnwell County: 52.1 %Beaufort County: 50.8 %Berkeley County: 50.4 %Calhoun County: 51.6 %Charleston County: 51.4 %Cherokee County: 51.3 %Chester County: 51.6 %Chesterfield County: 51.4 %Clarendon County: 50.6 %Colleton County: 51.5 %Darlington County: 52.9 %Dillon County: 53 %Dorchester County: 51.6 %Edgefield County: 46.6 %Fairfield County: 52.3 %Florence County: 53.3 %Georgetown County: 52.6 %Greenville County: 51.5 %Greenwood County: 53.7 %Hampton County: 47.7 %Horry County: 51.7 %Jasper County: 49.3 %Kershaw County: 51.6 %Lancaster County: 51.5 %Laurens County: 51.2 %Lee County: 49.1 %Lexington County: 51.4 %McCormick County: 46.4 %Marion County: 54.1 %Marlboro County: 47.4 %Newberry County: 51.5 %Oconee County: 50.8 %Orangeburg County: 53.2 %Pickens County: 50.6 %Richland County: 52 %Saluda County: 50 %Spartanburg County: 51.4 %Sumter County: 51.8 %Union County: 52 %Williamsburg County: 51 %York County: 51.8 %
  • Under 50
  • 50 to 51
  • 51 to 52
  • 52 and over
%, 2017. Source: Invokely calculation with data from U.S. Census Bureau. Boundaries: U.S. Census Bureau cartographic boundary files.

All counties, 2017

Marion County: 54.1 %Marion County54.1Greenwood County: 53.7 %Greenwood County53.7Florence County: 53.3 %Florence County53.3Orangeburg County: 53.2 %Orangeburg County53.2Dillon County: 53 %Dillon County53Darlington County: 52.9 %Darlington County52.9Georgetown County: 52.6 %Georgetown County52.6Bamberg County: 52.3 %Bamberg County52.3Fairfield County: 52.3 %Fairfield County52.3Barnwell County: 52.1 %Barnwell County52.1Union County: 52 %Union County52Richland County: 52 %Richland County52Aiken County: 51.8 %Aiken County51.8Sumter County: 51.8 %Sumter County51.8Anderson County: 51.8 %Anderson County51.8York County: 51.8 %York County51.8Horry County: 51.7 %Horry County51.7Chester County: 51.6 %Chester County51.6Kershaw County: 51.6 %Kershaw County51.6Dorchester County: 51.6 %Dorchester County51.6Calhoun County: 51.6 %Calhoun County51.6Colleton County: 51.5 %Colleton County51.5Newberry County: 51.5 %Newberry County51.5Greenville County: 51.5 %Greenville County51.5Lancaster County: 51.5 %Lancaster County51.5Spartanburg County: 51.4 %Spartanburg County51.4Charleston County: 51.4 %Charleston County51.4Chesterfield County: 51.4 %Chesterfield County51.4Abbeville County: 51.4 %Abbeville County51.4Lexington County: 51.4 %Lexington County51.4Cherokee County: 51.3 %Cherokee County51.3Laurens County: 51.2 %Laurens County51.2Williamsburg County: 51 %Williamsburg County51Beaufort County: 50.8 %Beaufort County50.8Oconee County: 50.8 %Oconee County50.8Clarendon County: 50.6 %Clarendon County50.6Pickens County: 50.6 %Pickens County50.6Berkeley County: 50.4 %Berkeley County50.4Saluda County: 50 %Saluda County50Jasper County: 49.3 %Jasper County49.3Lee County: 49.1 %Lee County49.1Hampton County: 47.7 %Hampton County47.7Marlboro County: 47.4 %Marlboro County47.4Edgefield County: 46.6 %Edgefield County46.6Allendale County: 46.4 %Allendale County46.4McCormick County: 46.4 %McCormick County46.4Marion County: 54.1 %Marion County54.1Greenwood County: 53.7 %Greenwood County53.7Florence County: 53.3 %Florence County53.3Orangeburg County: 53.2 %Orangeburg County53.2Dillon County: 53 %Dillon County53Darlington County: 52.9 %Darlington County52.9Georgetown County: 52.6 %Georgetown County52.6Bamberg County: 52.3 %Bamberg County52.3Fairfield County: 52.3 %Fairfield County52.3Barnwell County: 52.1 %Barnwell County52.1Union County: 52 %Union County52Richland County: 52 %Richland County52Aiken County: 51.8 %Aiken County51.8Sumter County: 51.8 %Sumter County51.8Anderson County: 51.8 %Anderson County51.8York County: 51.8 %York County51.8Horry County: 51.7 %Horry County51.7Chester County: 51.6 %Chester County51.6Kershaw County: 51.6 %Kershaw County51.6Dorchester County: 51.6 %Dorchester County51.6Calhoun County: 51.6 %Calhoun County51.6Colleton County: 51.5 %Colleton County51.5Newberry County: 51.5 %Newberry County51.5Greenville County: 51.5 %Greenville County51.5Lancaster County: 51.5 %Lancaster County51.5Spartanburg County: 51.4 %Spartanburg County51.4Charleston County: 51.4 %Charleston County51.4Chesterfield County: 51.4 %Chesterfield County51.4Abbeville County: 51.4 %Abbeville County51.4Lexington County: 51.4 %Lexington County51.4Cherokee County: 51.3 %Cherokee County51.3Laurens County: 51.2 %Laurens County51.2Williamsburg County: 51 %Williamsburg County51Beaufort County: 50.8 %Beaufort County50.8Oconee County: 50.8 %Oconee County50.8Clarendon County: 50.6 %Clarendon County50.6Pickens County: 50.6 %Pickens County50.6Berkeley County: 50.4 %Berkeley County50.4Saluda County: 50 %Saluda County50Jasper County: 49.3 %Jasper County49.3Lee County: 49.1 %Lee County49.1Hampton County: 47.7 %Hampton County47.7Marlboro County: 47.4 %Marlboro County47.4Edgefield County: 46.6 %Edgefield County46.6Allendale County: 46.4 %Allendale County46.4McCormick County: 46.4 %McCormick County46.4
%. Source: Invokely calculation with data from U.S. Census Bureau. Retrieved 2026-10-12.

Full ranking

RankCounties2017 (%)Change on 2016
1Marion County54.1+0.2 pts
2Greenwood County53.70 pts
3Florence County53.3-0 pts
4Orangeburg County53.2+0.1 pts
5Dillon County53+0.1 pts
6Darlington County52.9+0.1 pts
7Georgetown County52.60 pts
8Bamberg County52.3+0.1 pts
9Fairfield County52.3-0 pts
10Barnwell County52.1-0 pts
11Union County52-0 pts
12Richland County52+0.2 pts
13Aiken County51.80 pts
14Sumter County51.8+0.1 pts
15Anderson County51.80 pts
15York County51.80 pts
17Horry County51.7-0 pts
18Chester County51.6-0 pts
19Kershaw County51.6-0 pts
20Dorchester County51.6+0.1 pts
21Calhoun County51.6-0 pts
22Colleton County51.5+0.1 pts
22Newberry County51.50 pts
24Greenville County51.50 pts
25Lancaster County51.5+0.1 pts
26Spartanburg County51.4-0 pts
27Charleston County51.4-0.1 pts
28Chesterfield County51.4-0 pts
29Abbeville County51.4-0.1 pts
30Lexington County51.40 pts
31Cherokee County51.3+0.1 pts
32Laurens County51.2-0.2 pts
33Williamsburg County51+0.1 pts
34Beaufort County50.8+0.2 pts
35Oconee County50.8-0 pts
36Clarendon County50.60 pts
37Pickens County50.6+0.1 pts
38Berkeley County50.40 pts
39Saluda County50+0.4 pts
40Jasper County49.3+0.1 pts
41Lee County49.1+0.2 pts
42Hampton County47.7-0.2 pts
43Marlboro County47.4+0.1 pts
44Edgefield County46.6+0.2 pts
45Allendale County46.4-0.1 pts
46McCormick County46.4+0.2 pts

Other periods

About this ranking

Female residents as a percentage of total population on 1 July. United States: Census Bureau county population estimates by sex; states and the nation are sums of their counties.

Counties with large prisons or military bases can have low shares.

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. Population Estimates Program, county population by age and sex: female residents as a percentage of the total on 1 July, 2010 to 2019 from the 2010 to 2020 intercensal file and 2020 onwards from the latest vintage; states and the nation summed from counties. https://www.census.gov/programs-surveys/popest/data/data-sets.html. 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). Population Estimates Program, county population by age and sex: female residents as a percentage of the total on 1 July, 2010 to 2019 from the 2010 to 2020 intercensal file and 2020 onwards from the latest vintage; states and the nation summed from counties (Counties in South Carolina by female population share, 2017) [Data set]. Retrieved October 12, 2026, from https://www.census.gov/programs-surveys/popest/data/data-sets.html

MLA 9

Population Estimates Program, county population by age and sex: female residents as a percentage of the total on 1 July, 2010 to 2019 from the 2010 to 2020 intercensal file and 2020 onwards from the latest vintage; states and the nation summed from counties, Counties in South Carolina by female population share, 2017. U.S. Census Bureau, 25 June 2026, https://www.census.gov/programs-surveys/popest/data/data-sets.html. Invokely, https://invokely.ai/rankings/female-population-share/south-carolina-counties?period=2017. Accessed 12 Oct. 2026.

Chicago (author-date)

U.S. Census Bureau. 2026. Population Estimates Program, county population by age and sex: female residents as a percentage of the total on 1 July, 2010 to 2019 from the 2010 to 2020 intercensal file and 2020 onwards from the latest vintage; states and the nation summed from counties. Counties in South Carolina by female population share, 2017. Dataset. Accessed October 12, 2026. https://www.census.gov/programs-surveys/popest/data/data-sets.html. Also distributed by Invokely, https://invokely.ai/rankings/female-population-share/south-carolina-counties?period=2017.

Harvard

U.S. Census Bureau (2026) Population Estimates Program, county population by age and sex: female residents as a percentage of the total on 1 July, 2010 to 2019 from the 2010 to 2020 intercensal file and 2020 onwards from the latest vintage; states and the nation summed from counties, Counties in South Carolina by female population share, 2017 [Dataset]. Available at: https://www.census.gov/programs-surveys/popest/data/data-sets.html, via Invokely: https://invokely.ai/rankings/female-population-share/south-carolina-counties?period=2017 (Accessed: 12 October 2026).

BibTeX
@misc{census_counties_in_south_carolina_2017,
  author = {{U.S. Census Bureau}},
  title = {{Population Estimates Program, county population by age and sex: female residents as a percentage of the total on 1 July, 2010 to 2019 from the 2010 to 2020 intercensal file and 2020 onwards from the latest vintage; states and the nation summed from counties: Counties in South Carolina by female population share, 2017}},
  year = {2026},
  howpublished = {Data set},
  url = {https://www.census.gov/programs-surveys/popest/data/data-sets.html},
  urldate = {2026-10-12},
  note = {Accessed via Invokely, https://invokely.ai/rankings/female-population-share/south-carolina-counties?period=2017. Publisher attribution: U.S. Census Bureau. Population Estimates Program, county population by age and sex: female residents as a percentage of the total on 1 July, 2010 to 2019 from the 2010 to 2020 intercensal file and 2020 onwards from the latest vintage; states and the nation summed from counties. https://www.census.gov/programs-surveys/popest/data/data-sets.html. Retrieved 2026-10-12.},
}
RIS
TY  - DATA
AU  - U.S. Census Bureau
TI  - Population Estimates Program, county population by age and sex: female residents as a percentage of the total on 1 July, 2010 to 2019 from the 2010 to 2020 intercensal file and 2020 onwards from the latest vintage; states and the nation summed from counties: Counties in South Carolina by female population share, 2017
PY  - 2026
DA  - 2026/06/25
PB  - U.S. Census Bureau
DB  - Invokely
UR  - https://www.census.gov/programs-surveys/popest/data/data-sets.html
L2  - https://invokely.ai/rankings/female-population-share/south-carolina-counties?period=2017
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/female-population-share/south-carolina-counties?period=2017.
N1  - Publisher attribution: U.S. Census Bureau. Population Estimates Program, county population by age and sex: female residents as a percentage of the total on 1 July, 2010 to 2019 from the 2010 to 2020 intercensal file and 2020 onwards from the latest vintage; states and the nation summed from counties. https://www.census.gov/programs-surveys/popest/data/data-sets.html. 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 female population share using official data, and cite the source.
rank_places {"indicator":"female_share","level":"province","within":"South Carolina","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=female_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 female population share?

Marion County, with 54.1% in 2017, according to the U.S. Census Bureau.

Which county has the lowest female population share?

McCormick County, with 46.4% in 2017.

Where does this ranking come from?

Every value comes from one source and one period, so the places are comparable: U.S. Census Bureau, Population Estimates Program, county population by age and sex: female residents as a percentage of the total on 1 July, 2010 to 2019 from the 2010 to 2020 intercensal file and 2020 onwards from the latest vintage; states and the nation summed from counties. Retrieved 2026-10-12.

Female population share: other rankings

Counties in South Carolina: more rankings