South Dakota
State-to-state migration of people and income, 2022–2023 filing years
At a glance (2023)
The cost of living runs about 12% below the national average. The median home is valued at $236,800 (nominal). Home prices have risen about 51% over the five years to 2023. Median rent is about $912 a month. Unemployment averaged 1.8% in 2023 (national 3.6%). Median household income is $72,421. These figures describe all residents, not just tax filers, come from separate sources than the migration data on this page, and do not indicate why anyone moved.
Between the 2022 and 2023 filing years, South Dakota saw a net gain of 1,513 tax-filing households and a net gain of 2,417 individuals. Against a population of about 919,318, that is a net inflow of about 2.6 per 1,000 residents. On net, the area gained $258.4M in associated adjusted gross income (AGI, nominal dollars). The largest inflow, about 2,243 households, came from Minnesota; the largest outflow, about 1,855 households, went to Minnesota. In the prior (2022) filing year, the area saw a net gain of 7,078 individuals. These figures cover federal income tax filers only and do not indicate why people moved.
+2.6 net people per 1,000 residents (population 919,318)
Income (AGI) in and out
South Dakota counties
Net migration by county. Hover for figures; click a county to open it.
Top origin states
- 1Minnesota2,243$159.3M
- 2Iowa1,280$74.1M
- 3California1,243$112.3M
- 4Colorado990$76.2M
- 5Nebraska970$58.1M
- 6Texas817$60.7M
- 7North Dakota676$43.3M
- 8Arizona636$53.1M
- 9Florida617$34M
- 10Wyoming453$25.6M
Top destination states
- 1Minnesota1,855$105.5M
- 2Iowa977$58.3M
- 3Texas926$58.6M
- 4Nebraska907$48.5M
- 5Arizona901$65.9M
- 6Colorado716$40.6M
- 7Florida702$61M
- 8North Dakota656$35.4M
- 9California583$37.3M
- 10Washington378$25.3M
Churn by state · both directions at once
The biggest two-way exchanges of filing households, 2022–2023. Moved in and moved out are gross one-way counts; net is the difference. Click a column to sort.
| Minnesota | 2,243 | 1,855 | +388 | +$53.8M |
| Iowa | 1,280 | 977 | +303 | +$15.8M |
| Nebraska | 970 | 907 | +63 | +$9.5M |
| California | 1,243 | 583 | +660 | +$75M |
| Texas | 817 | 926 | -109 | +$2.1M |
| Colorado | 990 | 716 | +274 | +$35.6M |
| Arizona | 636 | 901 | -265 | -$12.7M |
| North Dakota | 676 | 656 | +20 | +$7.9M |
| Florida | 617 | 702 | -85 | -$27M |
| Washington | 444 | 378 | +66 | +$17.1M |
| Wyoming | 453 | 364 | +89 | +$4M |
| Wisconsin | 302 | 358 | -56 | -$824K |
Counts are filing households (IRS returns), matching the lists above; income is nominal AGI. A dash means the IRS published only one direction of that exchange (small flows are suppressed), so no net is computed.
Net migration by year
| Year | Net AGI | Net people |
|---|---|---|
| 2012 | +$55.3M | +3,521 |
| 2013 | +$18.8M | +2,146 |
| 2014 | +$81.2M | -388 |
| 2015 | +$32.2M | +409 |
| 2016 | +$54.1M | +918 |
| 2017 | +$123.1M | +984 |
| 2018 | +$94M | +823 |
| 2019 | +$155.3M | +410 |
| 2020 | +$210.4M | +2,724 |
| 2021 | +$452.7M | +6,321 |
| 2022 | +$589.1M | +7,078 |
| 2023 | +$258.4M | +2,417 |
How big is this move, relative to the state?
In the 2022–2023 filing year, about 2,417 more people moved into South Dakota than left (counting tax filers and their dependents) — a net gain of about $258.4M in income (nominal) — in a state of 917,739 people.
The rate lets you compare South Dakota with a stateof any size: it’s the net flow divided by population. The IRS counts tax filers; population counts all residents, so read the rate as a scale indicator, not a literal share of people.
Components of population change · 2023 (Census)
Where the state’s overall change came from. Census counts all residents; the IRS migration above is one slice of the domestic-migration component.
Source: U.S. Census Bureau, Population Estimates Program. Figures are people, not tax filers.
What a dollar is worth here
Prices around South Dakota run about 12% below the national average. In plain terms: $100 spent here buys about what $113 buys in the average American community. The figures below apply that to income, each compared to the U.S. average of $70,002 per person.
Price parity shown at the state level (BEA does not publish a single figure below the metro level).
Where the cost comes from · price parity by category
Index where 100 = U.S. average for that category. Housing is usually what separates one place from another.
Housing is measured from rents (including an estimated rental value for owner-occupied homes), so a run-up in purchase prices shows here only as it reaches rents. Source: U.S. Bureau of Economic Analysis. Covers all residents, a separate universe from the IRS filer income above. How the data works.
The people of South Dakota
American Community Survey, 2019–2023 (a 5-year average of all residents, not just tax filers).
White, Black, and Asian counts are people who are not Hispanic or Latino; Hispanic or Latino can be of any race. Shares are rounded and may not total 100.
Source: U.S. Census Bureau, American Community Survey 5-year estimates. Covers all residents, a separate universe from the IRS filer data. A 5-year estimate is an average over 2019–2023; compare years at least five apart, since consecutive windows overlap. How the data works.
Housing · what it costs to live here (ACS 2019–2023)
A repeat-sales index (how much the same homes changed in price), so it tracks the market over time rather than the current level. Source: Federal Housing Finance Agency, annual all-transactions HPI; the county series is FHFA’s developmental index.
Units authorized by residential building permits (new supply), summed from counties for the state and U.S. Permits are authorizations, not completions. Source: U.S. Census Bureau, Building Permits Survey.
Home value is what owners estimate their homes are worth, not recent sale prices. Source: U.S. Census Bureau, American Community Survey 5-year estimates (2019–2023), nominal dollars. How the data works.
Jobs and natural hazards
Sources: U.S. Bureau of Labor Statistics (LAUS) and FEMA. A disaster declaration marks federal assistance eligibility, not damage severity, and says nothing about why anyone moved. How the data works.
Source: U.S. Bureau of Labor Statistics (LAUS). Monthly unemployment for this state, not seasonally adjusted. Updated every month, so it moves faster than the annual average above. How the data works.
Net migration by income bracket
Tax-filing households that moved into South Dakota minus those that left, by the adjusted gross income they reported, 2022–2023. Positive means more arrived than left at that income level.
Among the highest earners ($200k+), South Dakota ranks #18 of 51 states for net household migration (+294).
Source: IRS Statistics of Income, state-level gross migration file (returns with negative AGI are excluded, so this won’t exactly match the totals above). Income is what filers reported, not a reason anyone moved. Compare all states by income bracket. How the data works.
What South Dakota ships and receives
Physical goods shipped between South Dakota and other states, 2022. This is freight, not the migration of people or income shown above.
Top goods shipped out
Top goods received
Biggest trading partners (both ways)
Goods trade runs in both directions: states swap different goods, so a partner is often near the top of both columns. Net is ships minus receives (positive means South Dakota ships more to that partner than it gets back).
| Partner | Ships to | Receives | Net | Total |
|---|---|---|---|---|
| Minnesota | $5.3B | $7.3B | -$2.1B | $12.6B |
| Iowa | $4.6B | $4.4B | +$178M | $9.0B |
| Illinois | $1.8B | $2.4B | -$562M | $4.2B |
| Nebraska | $1.5B | $1.9B | -$401M | $3.4B |
| Texas | $1.8B | $1.5B | +$324M | $3.4B |
| Wisconsin | $1.7B | $1.6B | +$126M | $3.2B |
| California | $1.4B | $1.8B | -$449M | $3.2B |
| North Dakota | $1.5B | $1.5B | -$15M | $2.9B |
Goods shipped every five years by the Census Commodity Flow Survey (a sample, so figures are estimates and the smallest flows are withheld). Value is nominal. The totals and partner table above count trade between South Dakota and other states; the goods lists count everything the state ships or receives, including within-state shipments. Compare all states. How the data works.
What South Dakota collects in taxes
Source: U.S. Census Bureau, Annual Survey of State Government Tax Collections. This is what the state government collected (not local taxes), not a measure of any individual’s tax burden. How the data works.
Elections
National maps →How South Dakota has voted. Certified returns, popular vote only. This is a separate dataset from the migration figures on this page.
President, 1976–2024
| Year | Democratic | Republican | Other | Margin | Total |
|---|---|---|---|---|---|
| 2024 | 146,859 | 272,081 | 9,982 | R +29.2 | 428,922 |
| 2020 | 150,471 | 261,043 | 11,095 | R +26.2 | 422,609 |
| 2016 | 117,458 | 227,721 | 24,914 | R +29.8 | 370,093 |
| 2012 | 145,039 | 210,610 | 8,166 | R +18.0 | 363,815 |
| 2008 | 170,924 | 203,054 | 3,730 | R +8.5 | 377,708 |
| 2004 | 149,244 | 232,584 | 6,387 | R +21.5 | 388,215 |
| 2000 | 118,804 | 190,700 | 6,765 | R +22.7 | 316,269 |
| 1996 | 139,333 | 150,543 | 33,950 | R +3.5 | 323,826 |
| 1992 | 124,888 | 136,718 | 74,648 | R +3.5 | 336,254 |
| 1988 | 145,560 | 165,415 | 2,016 | R +6.3 | 312,991 |
| 1984 | 116,113 | 200,267 | 1,487 | R +26.5 | 317,867 |
| 1980 | 103,855 | 198,343 | 25,505 | R +28.8 | 327,703 |
| 1976 | 147,068 | 151,505 | 2,105 | R +1.5 | 300,678 |
U.S. Senate races · all states →
| Year | Winner | Democratic | Republican | Other | Margin |
|---|---|---|---|---|---|
| 2022 | John R. Thune | 91,007 | 242,316 | 14,697 | R +43.5 |
| 2020 | Mike Rounds | 143,987 | 276,232 | — | R +31.5 |
| 2016 | John R. Thune | 104,140 | 265,516 | — | R +43.7 |
| 2014 | Mike Rounds | 82,456 | 140,741 | 56,215 | R +20.9 |
| 2010 | John Thune | — | 227,947 | — | — |
| 2008 | Tim Johnson | 237,889 | 142,784 | — | D +25.0 |
| 2004 | John Thune | 193,340 | 197,848 | — | R +1.2 |
| 2002 | Tim Johnson | 167,481 | 166,949 | 3,071 | D +0.2 |
U.S. House seats won · district maps →
2024 results by county
Source: MIT Election Data and Science Lab county returns (CC0). Margins are the popular-vote gap as a share of all votes cast.
Counties in South Dakota (66)
- Aurora County
- Beadle County
- Bennett County
- Bon Homme County
- Brookings County
- Brown County
- Brule County
- Buffalo County
- Butte County
- Campbell County
- Charles Mix County
- Clark County
- Clay County
- Codington County
- Corson County
- Custer County
- Davison County
- Day County
- Deuel County
- Dewey County
- Douglas County
- Edmunds County
- Fall River County
- Faulk County
- Grant County
- Gregory County
- Haakon County
- Hamlin County
- Hand County
- Hanson County
- Harding County
- Hughes County
- Hutchinson County
- Hyde County
- Jackson County
- Jerauld County
- Jones County
- Kingsbury County
- Lake County
- Lawrence County
- Lincoln County
- Lyman County
- Marshall County
- McCook County
- McPherson County
- Meade County
- Mellette County
- Miner County
- Minnehaha County
- Moody County
- Oglala Lakota County
- Pennington County
- Perkins County
- Potter County
- Roberts County
- Sanborn County
- Spink County
- Stanley County
- Sully County
- Todd County
- Tripp County
- Turner County
- Union County
- Walworth County
- Yankton County
- Ziebach County
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