Counties in South Dakota by net international migration rate, July to June
Beadle County had the highest net international migration rate, July to June of 66 counties in 2016, at 14.99 per 1,000 inhabitants. Miner County had the lowest, at -0.45 per 1,000 inhabitants. The median was 0.46 per 1,000 inhabitants and the figure for South Dakota was 3.88 per 1,000 inhabitants. Source: the U.S. Census Bureau.
Map of counties, 2016
- Under -0.3
- -0.3 to -0.1
- -0.1 to 0
- 0 to 0.4
- 0.4 to 1.6
- 1.6 and over
Top 40 counties, 2016
Full ranking
| Rank | Counties | 2016 | Change on 2015 |
|---|---|---|---|
| 1 | Beadle County Estimated | 14.99 | +3.17 pts |
| 2 | Brookings County Estimated | 11.05 | +6.14 pts |
| 3 | Minnehaha County Estimated | 8.38 | +4 pts |
| 4 | Todd County Estimated | 7.98 | +4.58 pts |
| 5 | Union County Estimated | 6.97 | +3.9 pts |
| 6 | Aurora County Estimated | 6.16 | +2.15 pts |
| 7 | Clay County Estimated | 5.18 | +3.52 pts |
| 8 | Lawrence County Estimated | 5.17 | +3.88 pts |
| 9 | Walworth County Estimated | 4.23 | -0.72 pts |
| 10 | Douglas County Estimated | 4.1 | +1.71 pts |
| 11 | Brown County Estimated | 3.85 | +1.85 pts |
| 12 | Edmunds County Estimated | 3.02 | +1.27 pts |
| 13 | Jerauld County Estimated | 2.98 | +0.52 pts |
| 14 | Pennington County Estimated | 2.51 | +1.58 pts |
| 15 | Moody County Estimated | 2.16 | +0.14 pts |
| 16 | Campbell County Estimated | 2.14 | +1.43 pts |
| 17 | McCook County Estimated | 2 | +0.37 pts |
| 18 | Marshall County Estimated | 1.86 | -3.99 pts |
| 19 | Meade County Estimated | 1.7 | -0.58 pts |
| 20 | Fall River County Estimated | 1.62 | +0.59 pts |
| 21 | Harding County Estimated | 1.58 | -0.01 pts |
| 22 | Codington County Estimated | 1.36 | +0.86 pts |
| 23 | Sanborn County Estimated | 1.27 | -0.01 pts |
| 24 | Clark County Estimated | 1.1 | +0.28 pts |
| 25 | Custer County Estimated | 0.94 | +0.58 pts |
| 26 | Roberts County Estimated | 0.88 | -0.19 pts |
| 27 | Hamlin County Estimated | 0.84 | +0.67 pts |
| 28 | Yankton County Estimated | 0.84 | +0.22 pts |
| 29 | Lincoln County Estimated | 0.73 | +0.55 pts |
| 30 | Bennett County Estimated | 0.58 | +0.58 pts |
| 31 | Grant County Estimated | 0.55 | +0.83 pts |
| 32 | Tripp County Estimated | 0.55 | +0.91 pts |
| 33 | Deuel County Estimated | 0.47 | 0 pts |
| 34 | Davison County Estimated | 0.45 | +0.7 pts |
| 35 | Potter County Estimated | 0.44 | 0 pts |
| 36 | Faulk County Estimated | 0.43 | 0 pts |
| 37 | Kingsbury County Estimated | 0.4 | +0.4 pts |
| 38 | Lake County Estimated | 0.4 | +0.48 pts |
| 39 | Turner County Estimated | 0.37 | -0 pts |
| 40 | Day County Estimated | 0.36 | -0 pts |
| 41 | Hughes County Estimated | 0.34 | +0.23 pts |
| 42 | Jackson County Estimated | 0.31 | +0.31 pts |
| 43 | Corson County Estimated | 0.24 | -0.24 pts |
| 44 | Brule County Estimated | 0.19 | +0.19 pts |
| 45 | Hutchinson County Estimated | 0.14 | -0.69 pts |
| 46 | Bon Homme County Estimated | 0 | -0.43 pts |
| 46 | Buffalo County Estimated | 0 | 0 pts |
| 46 | Dewey County Estimated | 0 | 0 pts |
| 46 | Gregory County Estimated | 0 | 0 pts |
| 46 | Haakon County Estimated | 0 | 0 pts |
| 46 | Hand County Estimated | 0 | 0 pts |
| 46 | Hanson County Estimated | 0 | 0 pts |
| 46 | Hyde County Estimated | 0 | 0 pts |
| 46 | Jones County Estimated | 0 | 0 pts |
| 46 | Lyman County Estimated | 0 | 0 pts |
| 46 | McPherson County Estimated | 0 | +0.42 pts |
| 46 | Mellette County Estimated | 0 | 0 pts |
| 46 | Perkins County Estimated | 0 | 0 pts |
| 46 | Sully County Estimated | 0 | 0 pts |
| 46 | Ziebach County Estimated | 0 | 0 pts |
| 61 | Butte County Estimated | -0.1 | -0.1 pts |
| 62 | Charles Mix County Estimated | -0.11 | -0.11 pts |
| 63 | Spink County Estimated | -0.15 | -0.15 pts |
| 64 | Oglala Lakota County Estimated | -0.21 | 0 pts |
| 65 | Stanley County Estimated | -0.33 | -0.33 pts |
| 66 | Miner County Estimated | -0.45 | -0.45 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 Dakota by net international migration rate, July to June, 2016) [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 Dakota by net international migration rate, July to June, 2016. 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-dakota-counties?period=2016. 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 Dakota by net international migration rate, July to June, 2016. 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-dakota-counties?period=2016.
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 Dakota by net international migration rate, July to June, 2016 [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-dakota-counties?period=2016 (Accessed: 12 October 2026).
BibTeX
@misc{census_counties_in_south_dakota_2016,
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 Dakota by net international migration rate, July to June, 2016}},
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-dakota-counties?period=2016. 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 Dakota by net international migration rate, July to June, 2016
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-dakota-counties?period=2016
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/net-international-migration-rate-july-june/south-dakota-counties?period=2016.
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 Dakota 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 Dakota","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=net_international_migration_rate_july_june&level=province&within=South%20Dakota&limit=10Questions
Which county has the highest net international migration rate, July to June?
Beadle County, with 14.99 per 1,000 inhabitants in 2016, according to the U.S. Census Bureau.
Which county has the lowest net international migration rate, July to June?
Miner County, with -0.45 per 1,000 inhabitants in 2016.
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.