Counties in South Dakota by housing vacancy rate, all vacant units (US), 2024
Marshall County had the highest housing vacancy rate, all vacant units (US) of 66 counties in 2024, at 32.2%. Lincoln County had the lowest, at 2.9%. The median was 17% and the figure for South Dakota was 10.5%. Source: the U.S. Census Bureau.
Top 40 counties, 2024
Full ranking
| Rank | Counties | 2024 (%) | Change on 2023 |
|---|---|---|---|
| 1 | Marshall County | 32.2 | -0 pts |
| 2 | Potter County | 32 | -3 pts |
| 3 | Sully County | 31.8 | +0.5 pts |
| 4 | Day County | 31.1 | -0.7 pts |
| 5 | Jones County | 28.6 | +2.9 pts |
| 6 | Harding County | 27.6 | -2.1 pts |
| 7 | Gregory County | 26.5 | +0.8 pts |
| 8 | Roberts County | 25.2 | +1.1 pts |
| 9 | Perkins County | 24.9 | -2.5 pts |
| 10 | McPherson County | 24.1 | -4.1 pts |
| 11 | Jackson County | 23.6 | -3.7 pts |
| 12 | Lyman County | 23.5 | -0.6 pts |
| 13 | Hamlin County | 23.3 | +0.3 pts |
| 14 | Haakon County | 23.2 | +0.5 pts |
| 15 | Miner County | 21 | -3.3 pts |
| 16 | Kingsbury County | 20.7 | -2.6 pts |
| 17 | Faulk County | 20.6 | -2 pts |
| 18 | Bennett County | 20.1 | +3.2 pts |
| 19 | Sanborn County | 19 | +0.9 pts |
| 20 | Lawrence County | 18.8 | -0 pts |
| 21 | Lake County | 18.7 | -0.8 pts |
| 22 | Deuel County | 18.6 | +2.4 pts |
| 23 | Hyde County | 18.5 | +3.1 pts |
| 23 | Jerauld County | 18.5 | +1.1 pts |
| 25 | Hand County | 18.3 | -0.9 pts |
| 26 | Tripp County | 18.3 | -0.2 pts |
| 27 | Campbell County | 18 | -5.5 pts |
| 28 | Mellette County | 17.7 | -3.2 pts |
| 29 | Walworth County | 17.6 | -0.9 pts |
| 30 | Brule County | 17.4 | -1.1 pts |
| 30 | Spink County | 17.4 | -0.5 pts |
| 32 | Charles Mix County | 17.3 | -0.6 pts |
| 33 | Corson County | 17 | -1.2 pts |
| 34 | Clark County | 17 | -0.9 pts |
| 35 | Ziebach County | 17 | -2.2 pts |
| 36 | Stanley County | 16.3 | -1.1 pts |
| 37 | Custer County | 15.9 | -5.4 pts |
| 38 | Oglala Lakota County | 15.8 | -5.3 pts |
| 39 | Aurora County | 15.6 | +0.5 pts |
| 40 | Douglas County | 15 | -2.6 pts |
| 41 | Bon Homme County | 14.9 | +0.9 pts |
| 42 | Edmunds County | 14.1 | -1.9 pts |
| 43 | Dewey County | 12.4 | -0.4 pts |
| 44 | Grant County | 12.4 | -0.8 pts |
| 45 | Hanson County | 12.3 | +0.3 pts |
| 46 | Buffalo County | 12.1 | -1.9 pts |
| 47 | Todd County | 11.6 | -2.6 pts |
| 48 | Clay County | 11.4 | +0.5 pts |
| 49 | Fall River County | 11.3 | -4.8 pts |
| 50 | Beadle County | 11.1 | -0.4 pts |
| 51 | Pennington County | 10.3 | +0.5 pts |
| 52 | McCook County | 10.2 | +0.1 pts |
| 53 | Hutchinson County | 10.1 | +1.4 pts |
| 54 | Brown County | 10 | +0.8 pts |
| 55 | Butte County | 10 | -0.7 pts |
| 56 | Hughes County | 9.3 | +1.2 pts |
| 57 | Brookings County | 9.1 | -1.1 pts |
| 58 | Turner County | 8.8 | -0.5 pts |
| 59 | Yankton County | 8.7 | +2 pts |
| 60 | Codington County | 7.4 | -0.2 pts |
| 61 | Moody County | 7.3 | -1.8 pts |
| 62 | Davison County | 7.1 | -1.7 pts |
| 63 | Meade County | 7 | +0.3 pts |
| 64 | Minnehaha County | 5.2 | -0.2 pts |
| 65 | Union County | 3.7 | -0.6 pts |
| 66 | Lincoln County | 2.9 | -0.4 pts |
Other periods
About this ranking
Vacant housing units as a percentage of all housing units. Vacant units include those for rent or for sale, rented or sold but not yet occupied, for seasonal, recreational or occasional use, for migrant workers, and other vacant units. United States: American Community Survey five-year estimate, where the period shown is the last year of the five-year span.
This gross rate counts seasonal and other off-market vacant units, so it is much higher than the rental and homeowner vacancy rates of the Housing Vacancy Survey (rental_vacancy_rate and homeowner_vacancy_rate) and cannot be compared with them. Counties with many holiday homes have high rates.
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. American Community Survey 5-year estimates, table B25002: vacant housing units as a percentage of all housing units, calculated with stored inputs. https://www2.census.gov/programs-surveys/acs/summary_file/2024/table-based-SF/data/5YRData/acsdt5y2024-b25002.dat. Retrieved 2026-10-12.
Citation styles
APA 7
U.S. Census Bureau. (2026). American Community Survey 5-year estimates, table B25002: vacant housing units as a percentage of all housing units, calculated with stored inputs (Counties in South Dakota by housing vacancy rate, all vacant units (US), 2024) [Data set]. Retrieved October 12, 2026, from https://www2.census.gov/programs-surveys/acs/summary_file/2024/table-based-SF/data/5YRData/acsdt5y2024-b25002.dat
MLA 9
American Community Survey 5-year estimates, table B25002: vacant housing units as a percentage of all housing units, calculated with stored inputs, Counties in South Dakota by housing vacancy rate, all vacant units (US), 2024. U.S. Census Bureau, 29 Jan. 2026, https://www2.census.gov/programs-surveys/acs/summary_file/2024/table-based-SF/data/5YRData/acsdt5y2024-b25002.dat. Invokely, https://invokely.ai/rankings/housing-vacancy-rate-all-vacant-units/south-dakota-counties. Accessed 12 Oct. 2026.
Chicago (author-date)
U.S. Census Bureau. 2026. American Community Survey 5-year estimates, table B25002: vacant housing units as a percentage of all housing units, calculated with stored inputs. Counties in South Dakota by housing vacancy rate, all vacant units (US), 2024. Dataset. Accessed October 12, 2026. https://www2.census.gov/programs-surveys/acs/summary_file/2024/table-based-SF/data/5YRData/acsdt5y2024-b25002.dat. Also distributed by Invokely, https://invokely.ai/rankings/housing-vacancy-rate-all-vacant-units/south-dakota-counties.
Harvard
U.S. Census Bureau (2026) American Community Survey 5-year estimates, table B25002: vacant housing units as a percentage of all housing units, calculated with stored inputs, Counties in South Dakota by housing vacancy rate, all vacant units (US), 2024 [Dataset]. Available at: https://www2.census.gov/programs-surveys/acs/summary_file/2024/table-based-SF/data/5YRData/acsdt5y2024-b25002.dat, via Invokely: https://invokely.ai/rankings/housing-vacancy-rate-all-vacant-units/south-dakota-counties (Accessed: 12 October 2026).
BibTeX
@misc{census_counties_in_south_dakota_2024,
author = {{U.S. Census Bureau}},
title = {{American Community Survey 5-year estimates, table B25002: vacant housing units as a percentage of all housing units, calculated with stored inputs: Counties in South Dakota by housing vacancy rate, all vacant units (US), 2024}},
year = {2026},
howpublished = {Data set},
url = {https://www2.census.gov/programs-surveys/acs/summary_file/2024/table-based-SF/data/5YRData/acsdt5y2024-b25002.dat},
urldate = {2026-10-12},
note = {Accessed via Invokely, https://invokely.ai/rankings/housing-vacancy-rate-all-vacant-units/south-dakota-counties. Publisher attribution: U.S. Census Bureau. American Community Survey 5-year estimates, table B25002: vacant housing units as a percentage of all housing units, calculated with stored inputs. https://www2.census.gov/programs-surveys/acs/summary\_file/2024/table-based-SF/data/5YRData/acsdt5y2024-b25002.dat. Retrieved 2026-10-12.},
}
RIS
TY - DATA
AU - U.S. Census Bureau
TI - American Community Survey 5-year estimates, table B25002: vacant housing units as a percentage of all housing units, calculated with stored inputs: Counties in South Dakota by housing vacancy rate, all vacant units (US), 2024
PY - 2026
DA - 2026/01/29
PB - U.S. Census Bureau
DB - Invokely
UR - https://www2.census.gov/programs-surveys/acs/summary_file/2024/table-based-SF/data/5YRData/acsdt5y2024-b25002.dat
L2 - https://invokely.ai/rankings/housing-vacancy-rate-all-vacant-units/south-dakota-counties
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/housing-vacancy-rate-all-vacant-units/south-dakota-counties.
N1 - Publisher attribution: U.S. Census Bureau. American Community Survey 5-year estimates, table B25002: vacant housing units as a percentage of all housing units, calculated with stored inputs. https://www2.census.gov/programs-surveys/acs/summary_file/2024/table-based-SF/data/5YRData/acsdt5y2024-b25002.dat. Retrieved 2026-10-12.
ER -
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Rank Counties in South Dakota by housing vacancy rate, all vacant units (US) using official data, and cite the source.
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Questions
Which county has the highest housing vacancy rate, all vacant units (US)?
Marshall County, with 32.2% in 2024, according to the U.S. Census Bureau.
Which county has the lowest housing vacancy rate, all vacant units (US)?
Lincoln County, with 2.9% in 2024.
Where does this ranking come from?
Every value comes from one source and one period, so the places are comparable: U.S. Census Bureau, American Community Survey 5-year estimates, table B25002: vacant housing units as a percentage of all housing units, calculated with stored inputs. Retrieved 2026-10-12.
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