Counties in South Carolina by net international migration rate, July to June
Jasper County had the highest net international migration rate, July to June of 46 counties in 2022, at 7.36 per 1,000 inhabitants. Fairfield County had the lowest, at -0.05 per 1,000 inhabitants. The median was 1.74 per 1,000 inhabitants and the figure for South Carolina was 2.93 per 1,000 inhabitants. Source: the U.S. Census Bureau.
All counties, 2022
Full ranking
| Rank | Counties | 2022 | Change on 2021 |
|---|---|---|---|
| 1 | Jasper County Estimated | 7.36 | +5.98 pts |
| 2 | Lee County Estimated | 5.68 | +4.16 pts |
| 3 | Greenville County Estimated | 5.6 | +3.93 pts |
| 4 | Saluda County Estimated | 5.21 | +3.83 pts |
| 5 | Berkeley County Estimated | 4.69 | +3.64 pts |
| 6 | Charleston County Estimated | 4.35 | +3.21 pts |
| 7 | Beaufort County Estimated | 4.28 | +3.42 pts |
| 8 | Horry County Estimated | 3.8 | +3.11 pts |
| 9 | Edgefield County Estimated | 3.66 | +2.7 pts |
| 10 | Newberry County Estimated | 3.25 | +2.06 pts |
| 11 | Richland County Estimated | 3.16 | +2.04 pts |
| 12 | Dorchester County Estimated | 2.88 | +1.97 pts |
| 13 | Spartanburg County Estimated | 2.8 | +2.16 pts |
| 14 | Lancaster County Estimated | 2.54 | +2.23 pts |
| 15 | Lexington County Estimated | 2.27 | +1.74 pts |
| 16 | Bamberg County Estimated | 2.15 | +1.69 pts |
| 17 | Colleton County Estimated | 2.07 | +1.35 pts |
| 18 | Chesterfield County Estimated | 2.07 | +1.52 pts |
| 19 | Pickens County Estimated | 1.93 | +1.23 pts |
| 20 | Oconee County Estimated | 1.89 | +1.56 pts |
| 21 | Laurens County Estimated | 1.88 | +1.28 pts |
| 22 | Hampton County Estimated | 1.81 | +1.6 pts |
| 23 | York County Estimated | 1.79 | +1.08 pts |
| 24 | Greenwood County Estimated | 1.69 | +1.13 pts |
| 25 | Cherokee County Estimated | 1.64 | +1.01 pts |
| 26 | Barnwell County Estimated | 1.56 | +1.51 pts |
| 27 | Anderson County Estimated | 1.53 | +1.13 pts |
| 28 | Kershaw County Estimated | 1.45 | +1.31 pts |
| 29 | Aiken County Estimated | 1.35 | +0.76 pts |
| 30 | Dillon County Estimated | 1.26 | +1.01 pts |
| 31 | Florence County Estimated | 1.25 | +0.97 pts |
| 32 | Williamsburg County Estimated | 1.19 | +0.67 pts |
| 33 | Darlington County Estimated | 1.09 | +0.86 pts |
| 34 | Georgetown County Estimated | 0.85 | +0.65 pts |
| 35 | Orangeburg County Estimated | 0.84 | +0.62 pts |
| 36 | Sumter County Estimated | 0.82 | +0.73 pts |
| 37 | Chester County Estimated | 0.81 | +0.66 pts |
| 38 | Clarendon County Estimated | 0.65 | +0.42 pts |
| 39 | Union County Estimated | 0.59 | +0.45 pts |
| 40 | Abbeville County Estimated | 0.45 | +0.29 pts |
| 41 | Allendale County Estimated | 0.39 | +0.27 pts |
| 42 | Marlboro County Estimated | 0.12 | +0.19 pts |
| 43 | Marion County Estimated | 0.03 | +0.03 pts |
| 44 | Calhoun County Estimated | 0 | 0 pts |
| 44 | McCormick County Estimated | 0 | 0 pts |
| 46 | Fairfield County Estimated | -0.05 | -0.05 pts |
Other periods
About this ranking
Net international migration from July 1 of the previous year through June 30 of the reported year per 1,000 residents, using the average of the population estimates at the two July 1 endpoints.
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 rate per 1,000 residents, 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 rate per 1,000 residents, 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 rate, July to June, 2022) [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 rate per 1,000 residents, 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 rate, July to June, 2022. 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-rate-july-june/south-carolina-counties?period=2022. Accessed 12 Oct. 2026.
Chicago (author-date)
U.S. Census Bureau. 2026. Population Estimates Program: net international migration rate per 1,000 residents, 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 rate, July to June, 2022. 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-rate-july-june/south-carolina-counties?period=2022.
Harvard
U.S. Census Bureau (2026) Population Estimates Program: net international migration rate per 1,000 residents, 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 rate, July to June, 2022 [Dataset]. Available at: https://www.census.gov/programs-surveys/popest/data/data-sets.html, via Invokely: https://invokely.ai/rankings/net-international-migration-rate-july-june/south-carolina-counties?period=2022 (Accessed: 12 October 2026).
BibTeX
@misc{census_counties_in_south_carolina_2022,
author = {{U.S. Census Bureau}},
title = {{Population Estimates Program: net international migration rate per 1,000 residents, 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 rate, July to June, 2022}},
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-rate-july-june/south-carolina-counties?period=2022. Publisher attribution: U.S. Census Bureau. Population Estimates Program: net international migration rate per 1,000 residents, 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 rate per 1,000 residents, 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 rate, July to June, 2022
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-rate-july-june/south-carolina-counties?period=2022
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/net-international-migration-rate-july-june/south-carolina-counties?period=2022.
N1 - Publisher attribution: U.S. Census Bureau. Population Estimates Program: net international migration rate per 1,000 residents, 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 rate, July to June using official data, and cite the source.
rank_places {"indicator":"net_international_migration_rate_july_june","level":"province","within":"South Carolina","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=net_international_migration_rate_july_june&level=province&within=South%20Carolina&limit=10
Questions
Which county has the highest net international migration rate, July to June?
Jasper County, with 7.36 per 1,000 inhabitants in 2022, according to the U.S. Census Bureau.
Which county has the lowest net international migration rate, July to June?
Fairfield County, with -0.05 per 1,000 inhabitants 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, Population Estimates Program: net international migration rate per 1,000 residents, 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 international migration rate, July to June: other rankings
Counties in South Carolina: more rankings
- Graduate or professional degree, population 25 and over
- Bachelor's degree or higher, population 25 and over
- White (non-Hispanic) population share
- Population speaking Spanish at home
- Fair Market Rent, two bedrooms (HUD, monthly)
- Uninsured rate, under 19 (US model-based estimate)
- Housing vacancy rate, all vacant units (US)
- Uninsured rate, under 65 (US model-based estimate)