Population
935,094
2025
+5.3% since 2020
Source: U.S. Census Bureau, Population Estimates Program (Vintage 2025), 2025. Resident population, July 1 estimate.
Lincoln County (+17.5%), Lawrence County (+14.0%) and Custer County (+13.2%) grew fastest in South Dakota between 2020 and 2025.
South Dakota as a whole grew 5.3% between 2020 and 2025, to 935,094 residents.
Data as of 2025 · updated
Map, parcel and listing layers cover North and South Carolina only for now.
| Rank | County | Residents 2025 | Change 2020–25 | Net migration per 1,000, 2025 | New homes per 1,000, 2025 |
|---|---|---|---|---|---|
| 1 | Lincoln County | 77,145 | +17.5% | 20.3 | 3.0 |
| 2 | Lawrence County | 29,459 | +14.0% | 26.7 | 7.9 |
| 3 | Custer County | 9,431 | +13.2% | 12.9 | 27.6 |
| 4 | Hamlin County | 6,900 | +11.8% | −1.4 | 10.3 |
| 5 | Mellette County | 2,137 | +11.5% | −22.9 | 0.9 |
| 6 | Brookings County | 37,635 | +9.6% | 0.8 | 9.5 |
| 7 | Minnehaha County | 212,691 | +7.6% | 4.1 | 9.6 |
| 8 | Turner County | 9,314 | +7.3% | −2.5 | 1.7 |
| 9 | Fall River County | 7,467 | +7.1% | 15.5 | 1.2 |
| 10 | Pennington County | 116,792 | +6.6% | 0.4 | 4.8 |
| 11 | Butte County | 10,856 | +5.5% | −5.1 | 8.1 |
| 12 | McCook County | 5,964 | +5.2% | 1.8 | 3.2 |
| 13 | Clark County | 4,031 | +4.7% | 2.7 | 3.0 |
| 14 | Moody County | 6,632 | +4.5% | −6.8 | 3.2 |
| 15 | Codington County | 29,562 | +4.3% | 9.4 | 4.8 |
| 16 | Bon Homme County | 7,244 | +3.8% | 9.8 | 2.6 |
| 17 | Dewey County | 5,419 | +3.8% | −5.0 | 0.0 |
| 18 | Union County | 17,402 | +3.2% | −6.6 | 15.9 |
| 19 | Marshall County | 4,426 | +2.9% | −5.0 | 2.5 |
| 20 | Meade County | 30,711 | +2.7% | −5.5 | 4.4 |
| 21 | Deuel County | 4,408 | +2.6% | 1.1 | 2.5 |
| 22 | Aurora County | 2,801 | +2.6% | −2.1 | 1.1 |
| 23 | Sanborn County | 2,388 | +2.5% | 3.4 | 7.1 |
| 24 | Beadle County | 19,624 | +2.4% | −13.5 | 1.1 |
| 25 | Faulk County | 2,178 | +2.3% | −6.4 | 3.2 |
| 26 | Harding County | 1,331 | +2.1% | 8.3 | 0.8 |
| 27 | Sully County | 1,479 | +1.9% | 0.7 | 6.1 |
| 28 | Douglas County | 2,888 | +1.9% | −6.2 | 2.4 |
| 29 | Tripp County | 5,708 | +1.8% | −6.1 | 1.9 |
| 30 | Stanley County | 3,018 | +1.8% | 7.0 | 3.6 |
| 31 | Kingsbury County | 5,284 | +1.6% | 1.7 | 3.4 |
| 32 | Yankton County | 23,635 | +1.5% | 0.8 | 3.8 |
| 33 | Gregory County | 4,037 | +1.1% | −4.7 | 4.7 |
| 34 | Edmunds County | 4,022 | +1.0% | −6.2 | 0.0 |
| 35 | Perkins County | 2,853 | +0.8% | 7.7 | 0.0 |
| 36 | Day County | 5,484 | +0.8% | 7.7 | 5.5 |
| 37 | Jerauld County | 1,654 | +0.6% | −4.8 | 3.0 |
| 38 | Davison County | 20,069 | +0.5% | 2.8 | 2.6 |
| 39 | Brule County | 5,278 | +0.5% | −8.0 | 3.8 |
| 40 | Clay County | 15,031 | +0.2% | −12.1 | 1.4 |
| 41 | Grant County | 7,534 | −0.0% | −8.4 | 2.7 |
| 42 | Campbell County | 1,377 | −0.1% | 17.4 | 0.7 |
| 43 | Lyman County | 3,694 | −0.1% | −8.4 | 1.9 |
| 44 | Ziebach County | 2,389 | −0.1% | −0.4 | – |
| 45 | Roberts County | 10,255 | −0.1% | −7.1 | 2.8 |
| 46 | Hutchinson County | 7,413 | −0.1% | 1.2 | 3.2 |
| 47 | Lake County | 10,993 | −0.2% | −5.1 | 7.8 |
| 48 | Hanson County | 3,456 | −0.3% | −21.1 | 2.3 |
| 49 | Charles Mix County | 9,303 | −0.5% | −0.2 | 2.1 |
| 50 | Hand County | 3,121 | −0.7% | 0.3 | 1.6 |
| 51 | Miner County | 2,281 | −0.8% | 4.8 | 1.8 |
| 52 | Hughes County | 17,570 | −0.9% | −1.2 | 1.7 |
| 53 | Walworth County | 5,217 | −1.4% | −5.9 | 1.3 |
| 54 | Brown County | 37,561 | −1.7% | −3.1 | 4.5 |
| 55 | McPherson County | 2,347 | −2.2% | 8.9 | 3.0 |
| 56 | Oglala Lakota County | 13,338 | −2.3% | −12.7 | – |
| 57 | Bennett County | 3,307 | −2.6% | −9.4 | 0.0 |
| 58 | Corson County | 3,781 | −2.8% | −8.7 | 0.0 |
| 59 | Spink County | 6,155 | −3.0% | −1.1 | 0.8 |
| 60 | Haakon County | 1,802 | −3.6% | −8.9 | 1.7 |
| 61 | Potter County | 2,377 | −3.8% | −7.6 | 5.9 |
| 62 | Hyde County | 1,191 | −4.6% | −8.4 | 0.0 |
| 63 | Jackson County | 2,666 | −4.8% | −22.5 | 0.0 |
| 64 | Todd County | 8,863 | −4.9% | −4.7 | 0.0 |
| 65 | Buffalo County | 1,802 | −6.8% | −6.7 | – |
| – | Jones County | 913 | – | – | – |
Ranked by the change in Census Bureau population estimates, 2020–2025. 1 county is listed last and not ranked: fewer than 1,000 residents, or no estimate for the same years.
935,094
2025
+5.3% since 2020
Source: U.S. Census Bureau, Population Estimates Program (Vintage 2025), 2025. Resident population, July 1 estimate.
+2,169
2025
2.3 per 1,000 residents
+22,959 in total, 2021–2025
Source: U.S. Census Bureau, Population Estimates Program (Vintage 2025), 2025. People moving in from other U.S. counties minus people moving out.
378,905
2023
+5.9% since 2018
Source: U.S. Census Bureau, County Business Patterns, 2023. Paid employees of private employers in mid-March (County Business Patterns).
Fastest-growing metro areas in South Dakota · Fastest-growing metro areas in the U.S. · Largest metro areas in South Dakota
The County Growth and Demographics Report for any county as a PDF, from federal data: population and migration, housing and rents, permits, private employers and jobs, unemployment, ranks in the state and the country, and neighbouring counties, with a source next to every number. Pay once, no subscription.
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Refund terms: Terms. · How we compute every number
South Dakota as a whole grew 5.3% between 2020 and 2025, to 935,094 residents. Statewide figures add up its counties.
Lincoln County, which grew 17.5% between 2020 and 2025 to 77,145 residents (Census Bureau population estimates). Lawrence County (+14.0%) and Custer County (+13.2%) came next.
25 of the 65 ranked counties had fewer residents in 2025 than in 2020. The steepest declines: Buffalo County (−6.8%), Todd County (−4.9%), Jackson County (−4.8%).
For their size, Lawrence County (26.7 per 1,000 residents), Lincoln County (20.3 per 1,000 residents) and Campbell County (17.4 per 1,000 residents) drew the most net domestic migration (people moving in from other U.S. counties minus people moving out) in 2025.
Each number shows its own period. Changes compare the latest period with five years earlier (or the earliest period available). Beacon CRE last refreshed these figures on 2026-11-05. Figures come from public federal statistics and are informational only, not investment advice. Check the source before relying on a number. Methodology: how we compute every number. More on every layer: data sources and licences.