Counties in South Carolina by net international migration rate, July to June

Saluda County had the highest net international migration rate, July to June of 46 counties in 2014, at 3.69 per 1,000 inhabitants. Colleton County had the lowest, at -0.43 per 1,000 inhabitants. The median was 0.76 per 1,000 inhabitants and the figure for South Carolina was 1.45 per 1,000 inhabitants. Source: the U.S. Census Bureau.

Highest3.69Saluda County

Lowest-0.43Colleton County

Median0.7646 counties

South Carolina1.45History

All counties, 2014

per 1,000 inhabitants. Source: 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.

Full ranking

Rank	Counties	2014 per 1,000 inhabitants	Change on 2013
1	Saluda County Estimated	3.69	+0.58 pts
2	Richland County Estimated	2.57	-0.1 pts
3	Greenville County Estimated	2.48	+0.6 pts
4	Pickens County Estimated	2.45	+0.92 pts
5	Beaufort County Estimated	2.45	-0.32 pts
6	Berkeley County Estimated	2.36	-0.07 pts
7	Greenwood County Estimated	2.06	+1.02 pts
8	Lexington County Estimated	1.86	+0.39 pts
9	Dillon County Estimated	1.82	+0.1 pts
10	Oconee County Estimated	1.72	+0.62 pts
11	Lancaster County Estimated	1.66	+0.86 pts
12	Sumter County Estimated	1.57	+0.19 pts
13	Marion County Estimated	1.53	+0.97 pts
14	Horry County Estimated	1.43	+0.16 pts
15	Charleston County Estimated	1.41	+0.37 pts
16	Dorchester County Estimated	1.36	+0.05 pts
17	Williamsburg County Estimated	1.06	+0.82 pts
18	Jasper County Estimated	0.98	-0.02 pts
19	Aiken County Estimated	0.97	+0.17 pts
20	Anderson County Estimated	0.95	+0.11 pts
21	York County Estimated	0.87	+0.22 pts
22	Laurens County Estimated	0.84	+0.53 pts
23	Chesterfield County Estimated	0.78	-0.13 pts
24	Fairfield County Estimated	0.73	-0.21 pts
25	Orangeburg County Estimated	0.7	+0.41 pts
26	Calhoun County Estimated	0.67	+0.2 pts
27	Spartanburg County Estimated	0.65	+0.16 pts
28	Edgefield County Estimated	0.56	+0.68 pts
29	Florence County Estimated	0.47	+0.2 pts
30	Kershaw County Estimated	0.41	-0 pts
31	Darlington County Estimated	0.4	+0.22 pts
32	Marlboro County Estimated	0.36	-0.03 pts
33	Newberry County Estimated	0.29	-0.37 pts
34	Hampton County Estimated	0.24	+0.24 pts
35	Barnwell County Estimated	0.23	+0.27 pts
36	Georgetown County Estimated	0.13	-0.22 pts
37	Allendale County Estimated	0.1	+0.1 pts
38	Clarendon County Estimated	0.09	+0.06 pts
39	Bamberg County Estimated	0.07	-0.13 pts
40	Lee County Estimated	0	0 pts
40	Union County Estimated	0	0 pts
42	Chester County Estimated	-0.06	-0 pts
43	Abbeville County Estimated	-0.12	-0.12 pts
44	Cherokee County Estimated	-0.2	-0.05 pts
45	McCormick County Estimated	-0.2	-0 pts
46	Colleton County Estimated	-0.43	-0.27 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

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: 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, 2014) [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, 2014. 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=2014. 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, 2014. 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=2014.

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, 2014 [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=2014 (Accessed: 12 October 2026).

BibTeX

@misc{census_counties_in_south_carolina_2014,
  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, 2014}},
  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=2014. 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, 2014
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=2014
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/net-international-migration-rate-july-june/south-carolina-counties?period=2014.
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  -

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Rank Counties in South Carolina by net international migration rate, July to June using official data, and cite the source.

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Questions

Which county has the highest net international migration rate, July to June?

Saluda County, with 3.69 per 1,000 inhabitants in 2014, according to the U.S. Census Bureau.

Which county has the lowest net international migration rate, July to June?

Colleton County, with -0.43 per 1,000 inhabitants in 2014.

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.