Counties in South Dakota by net domestic migration, July to June
Lincoln County had the highest net domestic migration, July to June of 66 counties in 2019, at 1,782. Brown County had the lowest, at -523. The median was -16 and the figure for South Dakota was 1,160. Source: the U.S. Census Bureau.
Map of counties, 2019
- Under -80
- -80 to -20
- -20 to 0
- 0 to 30
- 30 to 70
- 70 and over
Top 40 counties, 2019
Full ranking
| Rank | Counties | 2019 | Change on 2018 |
|---|---|---|---|
| 1 | Lincoln County Estimated | 1,782 | +11.8% |
| 2 | Pennington County Estimated | 1,439 | +43.6% |
| 3 | Minnehaha County Estimated | 528 | +253.9% |
| 4 | Union County Estimated | 264 | +9.1% |
| 5 | Custer County Estimated | 142 | +69% |
| 6 | Butte County Estimated | 137 | +35.6% |
| 7 | Meade County Estimated | 108 | -57.5% |
| 8 | Stanley County Estimated | 73 | +204.2% |
| 9 | Hanson County Estimated | 66 | +232% |
| 10 | Lawrence County Estimated | 43 | +13.2% |
| 11 | Harding County Estimated | 40 | +1,233.3% |
| 11 | Moody County Estimated | 40 | +260% |
| 13 | Hamlin County Estimated | 38 | +111.1% |
| 14 | Ziebach County Estimated | 30 | +2,900% |
| 15 | Hyde County Estimated | 27 | +203.8% |
| 16 | Mellette County Estimated | 24 | +161.5% |
| 17 | Clay County Estimated | 21 | +118.9% |
| 18 | Yankton County Estimated | 20 | -75.9% |
| 19 | Fall River County Estimated | 19 | -78.9% |
| 20 | Miner County Estimated | 18 | +80% |
| 21 | Brule County Estimated | 8 | +105.3% |
| 22 | Jackson County Estimated | 7 | +115.2% |
| 23 | Campbell County Estimated | 3 | -50% |
| 24 | Gregory County Estimated | -2 | +85.7% |
| 25 | Sully County Estimated | -5 | +83.3% |
| 26 | Marshall County Estimated | -6 | +90.3% |
| 27 | Kingsbury County Estimated | -7 | +82.1% |
| 28 | Bon Homme County Estimated | -8 | +38.5% |
| 28 | Jerauld County Estimated | -8 | -172.7% |
| 30 | Davison County Estimated | -9 | +86.4% |
| 31 | Deuel County Estimated | -10 | -155.6% |
| 32 | McPherson County Estimated | -15 | -250% |
| 33 | Douglas County Estimated | -16 | +11.1% |
| 33 | Edmunds County Estimated | -16 | +71.4% |
| 35 | Haakon County Estimated | -17 | +37% |
| 36 | Jones County Estimated | -18 | -550% |
| 37 | Clark County Estimated | -20 | -281.8% |
| 37 | Faulk County Estimated | -20 | -150% |
| 37 | Hutchinson County Estimated | -20 | +68.3% |
| 40 | Grant County Estimated | -31 | +48.3% |
| 41 | Lyman County Estimated | -41 | +59.4% |
| 42 | Aurora County Estimated | -43 | -490.9% |
| 42 | Roberts County Estimated | -43 | -191.5% |
| 44 | McCook County Estimated | -49 | -1,080% |
| 45 | Potter County Estimated | -55 | -2,850% |
| 46 | Buffalo County Estimated | -60 | -600% |
| 46 | Hand County Estimated | -60 | -87.5% |
| 48 | Walworth County Estimated | -62 | -72.2% |
| 49 | Sanborn County Estimated | -67 | -34% |
| 50 | Day County Estimated | -71 | -888.9% |
| 50 | Perkins County Estimated | -71 | -44.9% |
| 52 | Turner County Estimated | -77 | -176.2% |
| 53 | Tripp County Estimated | -79 | -626.7% |
| 54 | Charles Mix County Estimated | -85 | +39.7% |
| 55 | Spink County Estimated | -102 | -126.7% |
| 56 | Dewey County Estimated | -108 | -191.9% |
| 57 | Corson County Estimated | -132 | -53.5% |
| 58 | Beadle County Estimated | -134 | +60.9% |
| 58 | Codington County Estimated | -134 | +42.7% |
| 60 | Bennett County Estimated | -136 | -1,336.4% |
| 61 | Todd County Estimated | -186 | -24.8% |
| 62 | Hughes County Estimated | -250 | -131.5% |
| 63 | Oglala Lakota County Estimated | -267 | -55.2% |
| 64 | Lake County Estimated | -322 | -238.2% |
| 65 | Brookings County Estimated | -332 | -3,788.9% |
| 66 | Brown County Estimated | -523 | -21.3% |
Other periods
About this ranking
Estimated moves into an area from elsewhere in the same country minus moves out to the rest of the country, from July 1 of the previous year through June 30 of the reported year.
More on how it is measured
- United States: states and counties.
- Canada: provinces and territories, net interprovincial migration (Statistics Canada).
- United Kingdom: local authorities, counting moves between any two UK local authorities, including across the borders of England, Wales, Scotland and Northern Ireland (ONS internal migration).
- A negative value means more people left than arrived.
Sums to zero, or close to it, for each country as a whole, so there is no national value.
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 domestic migration, states and counties, 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 domestic migration, states and counties, 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 domestic 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 domestic migration, states and counties, 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 domestic 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-domestic-migration-july-june/south-dakota-counties?period=2019. Accessed 12 Oct. 2026.
Chicago (author-date)
U.S. Census Bureau. 2026. Population Estimates Program: net domestic migration, states and counties, 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 domestic 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-domestic-migration-july-june/south-dakota-counties?period=2019.
Harvard
U.S. Census Bureau (2026) Population Estimates Program: net domestic migration, states and counties, 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 domestic 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-domestic-migration-july-june/south-dakota-counties?period=2019 (Accessed: 12 October 2026).
BibTeX
@misc{census_counties_in_south_dakota_2019,
author = {{U.S. Census Bureau}},
title = {{Population Estimates Program: net domestic migration, states and counties, 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 domestic 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-domestic-migration-july-june/south-dakota-counties?period=2019. Publisher attribution: U.S. Census Bureau. Population Estimates Program: net domestic migration, states and counties, 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 domestic migration, states and counties, 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 domestic 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-domestic-migration-july-june/south-dakota-counties?period=2019
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/net-domestic-migration-july-june/south-dakota-counties?period=2019.
N1 - Publisher attribution: U.S. Census Bureau. Population Estimates Program: net domestic migration, states and counties, 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 domestic migration, July to June using official data, and cite the source.
rank_places {"indicator":"net_domestic_migration_july_june","level":"province","within":"South Dakota","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=net_domestic_migration_july_june&level=province&within=South%20Dakota&limit=10Questions
Which county has the highest net domestic migration, July to June?
Lincoln County, with 1,782 in 2019, according to the U.S. Census Bureau.
Which county has the lowest net domestic migration, July to June?
Brown County, with -523 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 domestic migration, states and counties, 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.