Counties in South Carolina by net international migration, July to June
Greenville County had the highest net international migration, July to June of 46 counties in 2019, at 1,860. Newberry County had the lowest, at -9. The median was 20 and the figure for South Carolina was 7,353. Source: the U.S. Census Bureau.
Map of counties, 2019
- Under 0
- 0 to 10
- 10 to 100
- 100 and over
All counties, 2019
Full ranking
| Rank | Counties | 2019 | Change on 2018 |
|---|---|---|---|
| 1 | Greenville County Estimated | 1,860 | -0.3% |
| 2 | Richland County Estimated | 1,044 | -6.1% |
| 3 | Charleston County Estimated | 589 | +8.3% |
| 4 | Horry County Estimated | 474 | +22.8% |
| 5 | Lexington County Estimated | 457 | +1.3% |
| 6 | Berkeley County Estimated | 414 | +36.2% |
| 7 | Beaufort County Estimated | 356 | +65.6% |
| 8 | York County Estimated | 313 | +16.8% |
| 9 | Spartanburg County Estimated | 309 | 0% |
| 10 | Aiken County Estimated | 214 | +1.9% |
| 11 | Dorchester County Estimated | 212 | -8.2% |
| 12 | Pickens County Estimated | 176 | +11.4% |
| 13 | Oconee County Estimated | 142 | +4.4% |
| 14 | Greenwood County Estimated | 113 | +41.3% |
| 15 | Sumter County Estimated | 92 | +87.8% |
| 16 | Anderson County Estimated | 81 | +84.1% |
| 17 | Jasper County Estimated | 79 | +31.7% |
| 18 | Laurens County Estimated | 72 | +20% |
| 19 | Florence County Estimated | 68 | -4.2% |
| 20 | Lancaster County Estimated | 50 | +11.1% |
| 21 | Darlington County Estimated | 37 | +12.1% |
| 22 | Kershaw County Estimated | 25 | -56.1% |
| 23 | Marion County Estimated | 20 | +300% |
| 24 | Orangeburg County Estimated | 19 | -56.8% |
| 25 | Clarendon County Estimated | 18 | +20% |
| 26 | Colleton County Estimated | 17 | +342.9% |
| 27 | Hampton County Estimated | 14 | 0% |
| 28 | Bamberg County Estimated | 13 | -7.1% |
| 28 | Chesterfield County Estimated | 13 | -31.6% |
| 28 | Edgefield County Estimated | 13 | +160% |
| 31 | Cherokee County Estimated | 11 | +175% |
| 31 | Williamsburg County Estimated | 11 | -56% |
| 33 | Dillon County Estimated | 10 | 0% |
| 33 | Fairfield County Estimated | 10 | 0% |
| 35 | Georgetown County Estimated | 7 | -65% |
| 35 | Saluda County Estimated | 7 | +250% |
| 37 | Marlboro County Estimated | 6 | 0% |
| 38 | Allendale County Estimated | 3 | -25% |
| 39 | Abbeville County Estimated | 2 | |
| 40 | Calhoun County Estimated | 0 | |
| 40 | Chester County Estimated | 0 | |
| 40 | Lee County Estimated | 0 | +100% |
| 43 | Union County Estimated | -1 | 0% |
| 44 | McCormick County Estimated | -3 | -50% |
| 45 | Barnwell County Estimated | -5 | -25% |
| 46 | Newberry County Estimated | -9 | -350% |
Other periods
About this ranking
Estimated moves into the area from abroad minus moves out of the area to other countries, from July 1 of the previous year through June 30 of the reported year.
More on how it is measured
- United States: Census Bureau estimates, including people born in the United States and abroad, moves between the states and Puerto Rico, and net movement of the Armed Forces overseas.
- Canada: Statistics Canada immigrants, minus net emigration, plus the net change in non-permanent residents.
- Australia: ABS net overseas migration for the financial year.
- United Kingdom local authorities: Office for National Statistics mid-year estimates, counting people who move for at least 12 months.
A component of each country's official population estimates. Methods differ between the statistical offices, so compare places within a country first. Differs from the World Bank net_migration series, which uses calendar years and a different method.
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 international migration, 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 international migration, 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 international 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 international migration, 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 international 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-international-migration-july-june/south-carolina-counties?period=2019. Accessed 12 Oct. 2026.
Chicago (author-date)
U.S. Census Bureau. 2026. Population Estimates Program: net international migration, 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 international 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-international-migration-july-june/south-carolina-counties?period=2019.
Harvard
U.S. Census Bureau (2026) Population Estimates Program: net international migration, 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 international 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-international-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 international migration, 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 international 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-international-migration-july-june/south-carolina-counties?period=2019. Publisher attribution: U.S. Census Bureau. Population Estimates Program: net international migration, 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 international migration, 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 international 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-international-migration-july-june/south-carolina-counties?period=2019
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/net-international-migration-july-june/south-carolina-counties?period=2019.
N1 - Publisher attribution: U.S. Census Bureau. Population Estimates Program: net international migration, 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
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 net international migration, July to June using official data, and cite the source.
rank_places {"indicator":"net_international_migration_july_june","level":"province","within":"South Carolina","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=net_international_migration_july_june&level=province&within=South%20Carolina&limit=10Questions
Which county has the highest net international migration, July to June?
Greenville County, with 1,860 in 2019, according to the U.S. Census Bureau.
Which county has the lowest net international migration, July to June?
Newberry County, with -9 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 international migration, 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.