Counties in South Dakota by net international migration, July to June
Minnehaha County had the highest net international migration, July to June of 66 counties in 2014, at 606. Davison County had the lowest, at -7. The median was 1 and the figure for South Dakota was 1,189. Source: the U.S. Census Bureau.
Map of counties, 2014
- Under -3
- -3 to -2
- -2 to 0
- 0 to 3
- 3 and over
Top 40 counties, 2014
Full ranking
| Rank | Counties | 2014 | Change on 2013 |
|---|---|---|---|
| 1 | Minnehaha County Estimated | 606 | +456% |
| 2 | Beadle County Estimated | 129 | +377.8% |
| 3 | Brookings County Estimated | 117 | +875% |
| 4 | Brown County Estimated | 68 | +223.8% |
| 5 | Pennington County Estimated | 56 | +460% |
| 6 | Meade County Estimated | 50 | +8.7% |
| 7 | Clay County Estimated | 27 | +2,800% |
| 8 | Moody County Estimated | 24 | +100% |
| 9 | Walworth County Estimated | 22 | +1,000% |
| 10 | Lawrence County Estimated | 14 | +300% |
| 11 | Todd County Estimated | 10 | |
| 11 | Yankton County Estimated | 10 | +350% |
| 13 | Clark County Estimated | 8 | +700% |
| 13 | Lincoln County Estimated | 8 | |
| 15 | Codington County Estimated | 7 | +600% |
| 16 | Hutchinson County Estimated | 5 | +400% |
| 16 | Turner County Estimated | 5 | |
| 18 | Edmunds County Estimated | 4 | +300% |
| 18 | Jackson County Estimated | 4 | +300% |
| 18 | Union County Estimated | 4 | +166.7% |
| 21 | Day County Estimated | 3 | +200% |
| 21 | Deuel County Estimated | 3 | |
| 21 | Jerauld County Estimated | 3 | +50% |
| 21 | Kingsbury County Estimated | 3 | +200% |
| 21 | Sanborn County Estimated | 3 | |
| 26 | Aurora County Estimated | 2 | |
| 26 | Custer County Estimated | 2 | +100% |
| 26 | Douglas County Estimated | 2 | +100% |
| 29 | Campbell County Estimated | 1 | |
| 29 | Corson County Estimated | 1 | |
| 29 | Fall River County Estimated | 1 | |
| 29 | Grant County Estimated | 1 | -75% |
| 29 | Mellette County Estimated | 1 | |
| 29 | Miner County Estimated | 1 | |
| 29 | Sully County Estimated | 1 | -50% |
| 29 | Ziebach County Estimated | 1 | |
| 37 | Bennett County Estimated | 0 | |
| 37 | Bon Homme County Estimated | 0 | |
| 37 | Brule County Estimated | 0 | |
| 37 | Buffalo County Estimated | 0 | |
| 37 | Charles Mix County Estimated | 0 | |
| 37 | Dewey County Estimated | 0 | |
| 37 | Faulk County Estimated | 0 | +100% |
| 37 | Gregory County Estimated | 0 | |
| 37 | Haakon County Estimated | 0 | |
| 37 | Hamlin County Estimated | 0 | -100% |
| 37 | Hand County Estimated | 0 | |
| 37 | Harding County Estimated | 0 | |
| 37 | Hyde County Estimated | 0 | |
| 37 | Jones County Estimated | 0 | |
| 37 | Lake County Estimated | 0 | +100% |
| 37 | Lyman County Estimated | 0 | |
| 37 | Marshall County Estimated | 0 | -100% |
| 37 | McCook County Estimated | 0 | -100% |
| 37 | McPherson County Estimated | 0 | +100% |
| 37 | Perkins County Estimated | 0 | |
| 37 | Potter County Estimated | 0 | -100% |
| 37 | Spink County Estimated | 0 | |
| 37 | Stanley County Estimated | 0 | |
| 37 | Tripp County Estimated | 0 | +100% |
| 61 | Hanson County Estimated | -1 | 0% |
| 61 | Roberts County Estimated | -1 | -200% |
| 63 | Butte County Estimated | -2 | 0% |
| 63 | Oglala Lakota County Estimated | -2 | |
| 65 | Hughes County Estimated | -5 | -66.7% |
| 66 | Davison County Estimated | -7 | -40% |
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 Dakota by net international migration, 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, 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 Dakota by net international migration, 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-july-june/south-dakota-counties?period=2014. 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 Dakota by net international migration, 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-july-june/south-dakota-counties?period=2014.
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 Dakota by net international migration, 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-july-june/south-dakota-counties?period=2014 (Accessed: 12 October 2026).
BibTeX
@misc{census_counties_in_south_dakota_2014,
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 Dakota by net international migration, 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-july-june/south-dakota-counties?period=2014. 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 Dakota by net international migration, 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-july-june/south-dakota-counties?period=2014
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/net-international-migration-july-june/south-dakota-counties?period=2014.
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 Dakota 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 Dakota","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=net_international_migration_july_june&level=province&within=South%20Dakota&limit=10Questions
Which county has the highest net international migration, July to June?
Minnehaha County, with 606 in 2014, according to the U.S. Census Bureau.
Which county has the lowest net international migration, July to June?
Davison County, with -7 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, 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.