Ranking · South Dakota

Fastest-growing and fastest-shrinking places in South Dakota

Harrisburg has the highest population change, 2020 to 2025 of South Dakota's 73 ranked places (+54.5%); Custer has the lowest (−7.2%). Ranked: places with 1,000 or more residents in the 2020 Census that are incorporated (the Census Bureau estimates only those each year).

Which are the fastest-growing places?

Fastest-growing places in South Dakota, first to fifth: Harrisburg (+54.5%), Tea (+42.7%), Aurora (+22.6%), Deadwood (+18.4%) and Box Elder (+17.6%).

Fastest-growing places in South Dakota, by population change, 2020 to 2025.
RankPlaceTypePopulation change, 2020 to 2025ResidentsCounty
1 Harrisburgcity +54.5% 10,405Lincoln County
2 Teacity +42.7% 8,019Lincoln County
3 Auroratown +22.6% 1,286Brookings County
4 Deadwoodcity +18.4% 1,360Lawrence County
5 Box Eldercity +17.6% 13,936Pennington County and 1 more
6 Volgacity +16.8% 2,458Brookings County
7 Spearfishcity +15.9% 14,154Lawrence County
8 Parkercity +12.7% 1,349Turner County
9 Sioux Fallscity +10.9% 213,748Minnehaha County and 1 more
10 Medary Townshiptownship +10.2% 1,579Brookings County
11 Lennoxcity +9.8% 2,657Lincoln County
12 Big Sioux Townshiptownship +9.8% 5,152Union County
13 Jefferson Township, Union Countytownship +9.3% 1,207Union County
14 Hartfordcity +8.6% 3,635Minnehaha County
15 Brookingscity +8.5% 25,355Brookings County
16 Balticcity +8.3% 1,344Minnehaha County
17 Hot Springscity +8.2% 3,670Fall River County
18 Rapid Citycity +7.8% 80,589Pennington County
19 Tyndallcity +5.8% 1,117Bon Homme County
20 Watertowncity +4.8% 23,736Codington County
21 Crookscity +3.9% 1,415Minnehaha County
22 Clarkcity +3.2% 1,183Clark County
23 Delapre Townshiptownship +3.1% 2,053Lincoln County
24 Springdale Township, Lincoln Countytownship +3.1% 2,229Lincoln County
25 Belle Fourchecity +2.9% 5,791Butte County

Source: Census Bureau population estimates, Vintage 2025 (SUB-EST2025) · Census population estimates

Which are the fastest-shrinking places?

Fastest-shrinking places in South Dakota, first to fifth: Custer (−7.2%), Gettysburg (−5.0%), Wagner (−4.7%), Platte (−4.6%) and Redfield (−4.5%).

Fastest-shrinking places in South Dakota, by population change, 2020 to 2025.
RankPlaceTypePopulation change, 2020 to 2025ResidentsCounty
73 Custercity −7.2% 1,803Custer County
72 Gettysburgcity −5.0% 1,049Potter County
71 Wagnercity −4.7% 1,422Charles Mix County
70 Plattecity −4.6% 1,230Charles Mix County
69 Redfieldcity −4.5% 2,114Spink County
68 Missioncity −4.5% 1,101Todd County
67 Garretsoncity −4.0% 1,174Minnehaha County
66 Wall Lake Townshiptownship −3.7% 1,210Minnehaha County
65 Mapleton Townshiptownship −3.6% 2,063Minnehaha County
64 Split Rock Townshiptownship −3.5% 3,086Minnehaha County
63 Grotoncity −3.5% 1,337Brown County
62 Beresfordcity −3.2% 2,105Union County and 1 more
61 Elk Pointcity −3.1% 2,080Union County
60 Dell Rapidscity −3.1% 3,852Minnehaha County
59 Wayne Township, Minnehaha Countytownship −3.1% 883Minnehaha County
58 De Smetcity −3.0% 1,032Kingsbury County
57 Webstercity −2.7% 1,681Day County
56 Sissetoncity −2.7% 2,413Roberts County
55 Sturgiscity −2.4% 6,922Meade County
54 Millercity −2.4% 1,313Hand County
53 Freemancity −2.2% 1,305Hutchinson County
52 Cantoncity −2.2% 3,001Lincoln County
51 Mobridgecity −2.2% 3,192Walworth County
50 Madisoncity −2.1% 6,065Lake County
49 Aberdeencity −1.8% 27,961Brown County

Source: Census Bureau population estimates, Vintage 2025 (SUB-EST2025) · Census population estimates

How is this ranking made?

Each place's population change, 2020 to 2025 is read from the Census Bureau's April 1, 2020 estimates base and its July 1, 2025 estimate. A place enters the ranking if it had 1,000 or more residents in the 2020 Census and is incorporated. Ties in the published figure share a rank. This is a measurement of one figure, not a judgment of a place.

Towns and townships are ranked beside cities, villages and census-designated places, and a census-designated place can lie inside a township, so one area can appear twice, once as each.

Source: PlainCities ranking method applied to the Census Bureau population estimates, Vintage 2025 (SUB-EST2025) · How ranks are computed

How these figures are made: methodology and release checks · reading a margin of error · every state · corrections