Counties in South Dakota by natural change, July to June
Minnehaha County had the highest natural change, July to June of 66 counties in 2014, at 1,664. Fall River County had the lowest, at -75. The median was 16 and the figure for South Dakota was 5,278. Source: the U.S. Census Bureau.
Map of counties, 2014
- Under -10
- -10 to 0
- 0 to 20
- 20 to 70
- 70 and over
Top 40 counties, 2014
Full ranking
| Rank | Counties | 2014 | Change on 2013 |
|---|---|---|---|
| 1 | Minnehaha County Estimated | 1,664 | +9.5% |
| 2 | Pennington County Estimated | 804 | +4.6% |
| 3 | Lincoln County Estimated | 589 | -0.3% |
| 4 | Oglala Lakota County Estimated | 233 | +9.9% |
| 5 | Brookings County Estimated | 228 | +7.5% |
| 6 | Todd County Estimated | 201 | +14.2% |
| 7 | Codington County Estimated | 161 | +2.5% |
| 8 | Hughes County Estimated | 128 | +18.5% |
| 9 | Beadle County Estimated | 126 | -30% |
| 10 | Meade County Estimated | 118 | -21.3% |
| 11 | Brown County Estimated | 104 | -25.7% |
| 12 | Dewey County Estimated | 97 | +70.2% |
| 13 | Roberts County Estimated | 91 | +111.6% |
| 14 | Clay County Estimated | 84 | +75% |
| 15 | Davison County Estimated | 77 | +8.5% |
| 16 | Yankton County Estimated | 76 | +7% |
| 17 | Hamlin County Estimated | 67 | +71.8% |
| 18 | Charles Mix County Estimated | 57 | -26% |
| 19 | Moody County Estimated | 55 | +266.7% |
| 20 | Lyman County Estimated | 53 | +130.4% |
| 21 | Butte County Estimated | 45 | +80% |
| 22 | Corson County Estimated | 43 | +2.4% |
| 23 | Bennett County Estimated | 42 | -4.5% |
| 23 | Buffalo County Estimated | 42 | +50% |
| 23 | Jackson County Estimated | 42 | 0% |
| 26 | Hanson County Estimated | 36 | +5.9% |
| 27 | Union County Estimated | 31 | -24.4% |
| 28 | Ziebach County Estimated | 29 | +52.6% |
| 29 | Marshall County Estimated | 25 | +47.1% |
| 30 | Brule County Estimated | 19 | +58.3% |
| 30 | Lawrence County Estimated | 19 | +290% |
| 32 | Lake County Estimated | 18 | -14.3% |
| 33 | Spink County Estimated | 16 | +633.3% |
| 33 | Stanley County Estimated | 16 | +33.3% |
| 35 | Edmunds County Estimated | 15 | +475% |
| 36 | Deuel County Estimated | 14 | -22.2% |
| 37 | Jerauld County Estimated | 12 | +209.1% |
| 38 | Harding County Estimated | 11 | -8.3% |
| 38 | Mellette County Estimated | 11 | +10% |
| 40 | Sully County Estimated | 9 | +550% |
| 41 | Clark County Estimated | 6 | +20% |
| 41 | Custer County Estimated | 6 | +135.3% |
| 43 | Hyde County Estimated | 5 | +138.5% |
| 44 | Aurora County Estimated | 3 | |
| 44 | Jones County Estimated | 3 | +160% |
| 46 | Perkins County Estimated | 1 | +109.1% |
| 46 | Sanborn County Estimated | 1 | -66.7% |
| 48 | Campbell County Estimated | 0 | +100% |
| 49 | Hand County Estimated | -3 | +82.4% |
| 49 | Hutchinson County Estimated | -3 | +90.3% |
| 51 | Potter County Estimated | -4 | +66.7% |
| 52 | Bon Homme County Estimated | -5 | +76.2% |
| 53 | Faulk County Estimated | -6 | -175% |
| 53 | McCook County Estimated | -6 | -130% |
| 55 | Walworth County Estimated | -7 | +30% |
| 56 | Douglas County Estimated | -8 | -700% |
| 57 | McPherson County Estimated | -9 | +55% |
| 58 | Miner County Estimated | -12 | |
| 59 | Grant County Estimated | -13 | -1,200% |
| 59 | Haakon County Estimated | -13 | +13.3% |
| 61 | Day County Estimated | -14 | +26.3% |
| 62 | Tripp County Estimated | -17 | -342.9% |
| 63 | Turner County Estimated | -18 | -350% |
| 64 | Gregory County Estimated | -19 | 0% |
| 65 | Kingsbury County Estimated | -23 | -360% |
| 66 | Fall River County Estimated | -75 | -56.3% |
Other periods
About this ranking
Estimated births minus deaths of residents from July 1 of the previous year through June 30 of the reported year. A negative value means more deaths than births.
Equals births_july_june minus deaths_july_june for the same place and year. Not a calendar-year figure.
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: natural change (births minus deaths), 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: natural change (births minus deaths), 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 natural change, July to June, 2014) [Data set]. Retrieved October 12, 2026, from https://www.census.gov/programs-surveys/popest/data/data-sets.html
MLA 9
Population Estimates Program: natural change (births minus deaths), 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 natural change, July to June, 2014. U.S. Census Bureau, 26 Mar. 2026, https://www.census.gov/programs-surveys/popest/data/data-sets.html. Invokely, https://invokely.ai/rankings/natural-change-july-june/south-dakota-counties?period=2014. Accessed 12 Oct. 2026.
Chicago (author-date)
U.S. Census Bureau. 2026. Population Estimates Program: natural change (births minus deaths), 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 natural change, July to June, 2014. Dataset. Accessed October 12, 2026. https://www.census.gov/programs-surveys/popest/data/data-sets.html. Also distributed by Invokely, https://invokely.ai/rankings/natural-change-july-june/south-dakota-counties?period=2014.
Harvard
U.S. Census Bureau (2026) Population Estimates Program: natural change (births minus deaths), 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 natural change, July to June, 2014 [Dataset]. Available at: https://www.census.gov/programs-surveys/popest/data/data-sets.html, via Invokely: https://invokely.ai/rankings/natural-change-july-june/south-dakota-counties?period=2014 (Accessed: 12 October 2026).
BibTeX
@misc{census_counties_in_south_dakota_2014,
author = {{U.S. Census Bureau}},
title = {{Population Estimates Program: natural change (births minus deaths), 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 natural change, July to June, 2014}},
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/natural-change-july-june/south-dakota-counties?period=2014. Publisher attribution: U.S. Census Bureau. Population Estimates Program: natural change (births minus deaths), 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: natural change (births minus deaths), 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 natural change, July to June, 2014
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/natural-change-july-june/south-dakota-counties?period=2014
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/natural-change-july-june/south-dakota-counties?period=2014.
N1 - Publisher attribution: U.S. Census Bureau. Population Estimates Program: natural change (births minus deaths), 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
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Rank Counties in South Dakota by natural change, July to June using official data, and cite the source.
rank_places {"indicator":"natural_change_july_june","level":"province","within":"South Dakota","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=natural_change_july_june&level=province&within=South%20Dakota&limit=10Questions
Which county has the highest natural change, July to June?
Minnehaha County, with 1,664 in 2014, according to the U.S. Census Bureau.
Which county has the lowest natural change, July to June?
Fall River County, with -75 in 2014.
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: natural change (births minus deaths), 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.