Counties in South Carolina by net domestic migration, July to June
Horry County had the highest net domestic migration, July to June of 46 counties in 2019, at 10,144. Richland County had the lowest, at -680. The median was 106 and the figure for South Carolina was 53,390. Source: the U.S. Census Bureau.
Map of counties, 2019
- Under -200
- -200 to 0
- 0 to 200
- 200 to 1,800
- 1,800 and over
All counties, 2019
Full ranking
| Rank | Counties | 2019 | Change on 2018 |
|---|---|---|---|
| 1 | Horry County Estimated | 10,144 | -12% |
| 2 | York County Estimated | 6,248 | -6.5% |
| 3 | Greenville County Estimated | 5,618 | +28% |
| 4 | Berkeley County Estimated | 5,504 | +2.4% |
| 5 | Spartanburg County Estimated | 4,787 | -27.5% |
| 6 | Lexington County Estimated | 3,656 | +15% |
| 7 | Charleston County Estimated | 3,527 | +53.5% |
| 8 | Lancaster County Estimated | 2,992 | +16.1% |
| 9 | Beaufort County Estimated | 2,564 | +29.8% |
| 10 | Anderson County Estimated | 2,190 | +12% |
| 11 | Pickens County Estimated | 1,647 | +6.9% |
| 12 | Aiken County Estimated | 1,420 | +34.3% |
| 13 | Oconee County Estimated | 1,375 | +41% |
| 14 | Dorchester County Estimated | 1,357 | +29% |
| 15 | Georgetown County Estimated | 911 | +18.6% |
| 15 | Jasper County Estimated | 911 | +75.5% |
| 17 | Kershaw County Estimated | 833 | +56.3% |
| 18 | Laurens County Estimated | 639 | +839.7% |
| 19 | Greenwood County Estimated | 231 | +87.8% |
| 20 | Cherokee County Estimated | 222 | +12.1% |
| 21 | Edgefield County Estimated | 218 | -41.1% |
| 22 | McCormick County Estimated | 151 | +364.9% |
| 23 | Clarendon County Estimated | 129 | +162.3% |
| 24 | Colleton County Estimated | 83 | -57.7% |
| 25 | Fairfield County Estimated | 34 | +121.7% |
| 26 | Calhoun County Estimated | 33 | +130.3% |
| 27 | Union County Estimated | 28 | +154.9% |
| 28 | Newberry County Estimated | 20 | -76.2% |
| 29 | Saluda County Estimated | 17 | -34.6% |
| 30 | Abbeville County Estimated | 9 | -91.2% |
| 31 | Chester County Estimated | -9 | -117% |
| 32 | Darlington County Estimated | -50 | +64.8% |
| 33 | Hampton County Estimated | -55 | +36% |
| 34 | Bamberg County Estimated | -119 | -72.5% |
| 35 | Florence County Estimated | -153 | +66.6% |
| 36 | Chesterfield County Estimated | -162 | -36.1% |
| 37 | Sumter County Estimated | -168 | +48.3% |
| 38 | Barnwell County Estimated | -188 | +2.1% |
| 39 | Marlboro County Estimated | -200 | +15.6% |
| 40 | Dillon County Estimated | -223 | -1,615.4% |
| 41 | Allendale County Estimated | -231 | -285% |
| 42 | Marion County Estimated | -333 | -56.3% |
| 43 | Lee County Estimated | -350 | -1,490.9% |
| 44 | Williamsburg County Estimated | -512 | -273.7% |
| 45 | Orangeburg County Estimated | -675 | -30.3% |
| 46 | Richland County Estimated | -680 | -6,281.8% |
Other periods
About this ranking
Estimated moves into an area from elsewhere in the same country minus moves out to the rest of the country, from July 1 of the previous year through June 30 of the reported year.
More on how it is measured
- United States: states and counties.
- Canada: provinces and territories, net interprovincial migration (Statistics Canada).
- United Kingdom: local authorities, counting moves between any two UK local authorities, including across the borders of England, Wales, Scotland and Northern Ireland (ONS internal migration).
- A negative value means more people left than arrived.
Sums to zero, or close to it, for each country as a whole, so there is no national value.
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: net domestic migration, states and counties, July 1 of the previous year to June 30 of the reported year; vintage 2020 files for 2011 to 2020 and the latest 2020s vintage from 2021. https://www.census.gov/programs-surveys/popest/data/data-sets.html. Retrieved 2026-10-12.Citation styles
APA 7
U.S. Census Bureau. (2026). Population Estimates Program: net domestic migration, states and counties, July 1 of the previous year to June 30 of the reported year; vintage 2020 files for 2011 to 2020 and the latest 2020s vintage from 2021 (Counties in South Carolina by net domestic migration, July to June, 2019) [Data set]. Retrieved October 12, 2026, from https://www.census.gov/programs-surveys/popest/data/data-sets.html
MLA 9
Population Estimates Program: net domestic migration, states and counties, July 1 of the previous year to June 30 of the reported year; vintage 2020 files for 2011 to 2020 and the latest 2020s vintage from 2021, Counties in South Carolina by net domestic migration, July to June, 2019. U.S. Census Bureau, 26 Mar. 2026, https://www.census.gov/programs-surveys/popest/data/data-sets.html. Invokely, https://invokely.ai/rankings/net-domestic-migration-july-june/south-carolina-counties?period=2019. Accessed 12 Oct. 2026.
Chicago (author-date)
U.S. Census Bureau. 2026. Population Estimates Program: net domestic migration, states and counties, July 1 of the previous year to June 30 of the reported year; vintage 2020 files for 2011 to 2020 and the latest 2020s vintage from 2021. Counties in South Carolina by net domestic migration, July to June, 2019. Dataset. Accessed October 12, 2026. https://www.census.gov/programs-surveys/popest/data/data-sets.html. Also distributed by Invokely, https://invokely.ai/rankings/net-domestic-migration-july-june/south-carolina-counties?period=2019.
Harvard
U.S. Census Bureau (2026) Population Estimates Program: net domestic migration, states and counties, July 1 of the previous year to June 30 of the reported year; vintage 2020 files for 2011 to 2020 and the latest 2020s vintage from 2021, Counties in South Carolina by net domestic migration, July to June, 2019 [Dataset]. Available at: https://www.census.gov/programs-surveys/popest/data/data-sets.html, via Invokely: https://invokely.ai/rankings/net-domestic-migration-july-june/south-carolina-counties?period=2019 (Accessed: 12 October 2026).
BibTeX
@misc{census_counties_in_south_carolina_2019,
author = {{U.S. Census Bureau}},
title = {{Population Estimates Program: net domestic migration, states and counties, July 1 of the previous year to June 30 of the reported year; vintage 2020 files for 2011 to 2020 and the latest 2020s vintage from 2021: Counties in South Carolina by net domestic migration, July to June, 2019}},
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/net-domestic-migration-july-june/south-carolina-counties?period=2019. Publisher attribution: U.S. Census Bureau. Population Estimates Program: net domestic migration, states and counties, July 1 of the previous year to June 30 of the reported year; vintage 2020 files for 2011 to 2020 and the latest 2020s vintage from 2021. 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: net domestic migration, states and counties, July 1 of the previous year to June 30 of the reported year; vintage 2020 files for 2011 to 2020 and the latest 2020s vintage from 2021: Counties in South Carolina by net domestic migration, July to June, 2019
PY - 2026
DA - 2026/03/26
PB - U.S. Census Bureau
DB - Invokely
UR - https://www.census.gov/programs-surveys/popest/data/data-sets.html
L2 - https://invokely.ai/rankings/net-domestic-migration-july-june/south-carolina-counties?period=2019
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/net-domestic-migration-july-june/south-carolina-counties?period=2019.
N1 - Publisher attribution: U.S. Census Bureau. Population Estimates Program: net domestic migration, states and counties, July 1 of the previous year to June 30 of the reported year; vintage 2020 files for 2011 to 2020 and the latest 2020s vintage from 2021. https://www.census.gov/programs-surveys/popest/data/data-sets.html. Retrieved 2026-10-12.
ER -
Use this data in your AI agent
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Rank Counties in South Carolina by net domestic migration, July to June using official data, and cite the source.
rank_places {"indicator":"net_domestic_migration_july_june","level":"province","within":"South Carolina","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=net_domestic_migration_july_june&level=province&within=South%20Carolina&limit=10Questions
Which county has the highest net domestic migration, July to June?
Horry County, with 10,144 in 2019, according to the U.S. Census Bureau.
Which county has the lowest net domestic migration, July to June?
Richland County, with -680 in 2019.
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: net domestic migration, states and counties, July 1 of the previous year to June 30 of the reported year; vintage 2020 files for 2011 to 2020 and the latest 2020s vintage from 2021. Retrieved 2026-10-12.
Net domestic migration, July to June: other rankings
Counties in South Carolina: more rankings
- Asian population share
- Bachelor's degree or higher, population 25 and over
- Residents who moved from another state in the past year
- Deaths, July to June
- Fair Market Rent, efficiency (HUD, monthly)
- Uninsured rate, under 65 (US model-based estimate)
- Uninsured rate, ages 18 to 64 (US model-based estimate)
- High blood pressure in adults, local model estimate