Data / Rankings / Female population share / Counties in Minnesota

Counties in Minnesota by female population share

Waseca County had the highest female population share of 87 counties in 2015, at 52.8%. Pine County had the lowest, at 46.6%. The median was 49.9% and the figure for Minnesota was 50.3%. Source: the U.S. Census Bureau.

Keep it in a collection in your library.
Highest52.8Waseca County
Lowest46.6Pine County
Median49.987 counties
Minnesota50.3History

Map of counties, 2015

Aitkin County: 49.2 %Anoka County: 50.1 %Becker County: 49.9 %Beltrami County: 50.1 %Benton County: 49.7 %Big Stone County: 50.9 %Blue Earth County: 49.7 %Brown County: 50.1 %Carlton County: 47.7 %Carver County: 50.4 %Cass County: 48.8 %Chippewa County: 50.9 %Chisago County: 48.4 %Clay County: 50.7 %Clearwater County: 49.5 %Cook County: 49.6 %Cottonwood County: 50.6 %Crow Wing County: 50.1 %Dakota County: 51 %Dodge County: 49.8 %Douglas County: 50.1 %Faribault County: 50.4 %Fillmore County: 49.7 %Freeborn County: 50.1 %Goodhue County: 50.2 %Grant County: 50.3 %Hennepin County: 50.7 %Houston County: 50.4 %Hubbard County: 49.9 %Isanti County: 49.5 %Itasca County: 49.4 %Jackson County: 49.2 %Kanabec County: 49.2 %Kandiyohi County: 50.1 %Kittson County: 49.5 %Koochiching County: 49.9 %Lac qui Parle County: 49.4 %Lake County: 49 %Lake of the Woods County: 48.2 %Le Sueur County: 49.5 %Lincoln County: 49.6 %Lyon County: 50.1 %McLeod County: 50.2 %Mahnomen County: 50.2 %Marshall County: 48.9 %Martin County: 50.5 %Meeker County: 49.2 %Mille Lacs County: 49.9 %Morrison County: 49.4 %Mower County: 50 %Murray County: 50 %Nicollet County: 49.8 %Nobles County: 48.8 %Norman County: 49 %Olmsted County: 51.1 %Otter Tail County: 49.5 %Pennington County: 49.9 %Pine County: 46.6 %Pipestone County: 51.1 %Polk County: 49.9 %Pope County: 49.3 %Ramsey County: 51.4 %Red Lake County: 49.5 %Redwood County: 50.1 %Renville County: 49 %Rice County: 49.2 %Rock County: 50.9 %Roseau County: 48.6 %St. Louis County: 49.7 %Scott County: 50.2 %Sherburne County: 48.7 %Sibley County: 49.6 %Stearns County: 49.6 %Steele County: 50.4 %Stevens County: 49.6 %Swift County: 49.6 %Todd County: 48.9 %Traverse County: 50 %Wabasha County: 50.1 %Wadena County: 50.3 %Waseca County: 52.8 %Washington County: 50.7 %Watonwan County: 50.3 %Wilkin County: 49.1 %Winona County: 50.7 %Wright County: 49.8 %Yellow Medicine County: 49.3 %
  • Under 49
  • 49 to 50
  • 50 and over
%, 2015. Source: Invokely calculation with data from U.S. Census Bureau. Boundaries: U.S. Census Bureau cartographic boundary files.

Top 40 counties, 2015

Waseca County: 52.8 %Waseca County52.8Ramsey County: 51.4 %Ramsey County51.4Olmsted County: 51.1 %Olmsted County51.1Pipestone County: 51.1 %Pipestone County51.1Dakota County: 51 %Dakota County51Big Stone County: 50.9 %Big Stone County50.9Chippewa County: 50.9 %Chippewa County50.9Rock County: 50.9 %Rock County50.9Hennepin County: 50.7 %Hennepin County50.7Washington County: 50.7 %Washington County50.7Clay County: 50.7 %Clay County50.7Winona County: 50.7 %Winona County50.7Cottonwood County: 50.6 %Cottonwood County50.6Martin County: 50.5 %Martin County50.5Carver County: 50.4 %Carver County50.4Faribault County: 50.4 %Faribault County50.4Houston County: 50.4 %Houston County50.4Steele County: 50.4 %Steele County50.4Grant County: 50.3 %Grant County50.3Watonwan County: 50.3 %Watonwan County50.3Wadena County: 50.3 %Wadena County50.3Scott County: 50.2 %Scott County50.2Mahnomen County: 50.2 %Mahnomen County50.2Goodhue County: 50.2 %Goodhue County50.2McLeod County: 50.2 %McLeod County50.2Lyon County: 50.1 %Lyon County50.1Kandiyohi County: 50.1 %Kandiyohi County50.1Crow Wing County: 50.1 %Crow Wing County50.1Anoka County: 50.1 %Anoka County50.1Douglas County: 50.1 %Douglas County50.1Freeborn County: 50.1 %Freeborn County50.1Beltrami County: 50.1 %Beltrami County50.1Brown County: 50.1 %Brown County50.1Wabasha County: 50.1 %Wabasha County50.1Redwood County: 50.1 %Redwood County50.1Mower County: 50 %Mower County50Traverse County: 50 %Traverse County50Murray County: 50 %Murray County50Becker County: 49.9 %Becker County49.9Koochiching County: 49.9 %Koochiching County49.9Waseca County: 52.8 %Waseca County52.8Ramsey County: 51.4 %Ramsey County51.4Olmsted County: 51.1 %Olmsted County51.1Pipestone County: 51.1 %Pipestone County51.1Dakota County: 51 %Dakota County51Big Stone County: 50.9 %Big Stone County50.9Chippewa County: 50.9 %Chippewa County50.9Rock County: 50.9 %Rock County50.9Hennepin County: 50.7 %Hennepin County50.7Washington County: 50.7 %Washington County50.7Clay County: 50.7 %Clay County50.7Winona County: 50.7 %Winona County50.7Cottonwood County: 50.6 %Cottonwood County50.6Martin County: 50.5 %Martin County50.5Carver County: 50.4 %Carver County50.4Faribault County: 50.4 %Faribault County50.4Houston County: 50.4 %Houston County50.4Steele County: 50.4 %Steele County50.4Grant County: 50.3 %Grant County50.3Watonwan County: 50.3 %Watonwan County50.3Wadena County: 50.3 %Wadena County50.3Scott County: 50.2 %Scott County50.2Mahnomen County: 50.2 %Mahnomen County50.2Goodhue County: 50.2 %Goodhue County50.2McLeod County: 50.2 %McLeod County50.2Lyon County: 50.1 %Lyon County50.1Kandiyohi County: 50.1 %Kandiyohi County50.1Crow Wing County: 50.1 %Crow Wing County50.1Anoka County: 50.1 %Anoka County50.1Douglas County: 50.1 %Douglas County50.1Freeborn County: 50.1 %Freeborn County50.1Beltrami County: 50.1 %Beltrami County50.1Brown County: 50.1 %Brown County50.1Wabasha County: 50.1 %Wabasha County50.1Redwood County: 50.1 %Redwood County50.1Mower County: 50 %Mower County50Traverse County: 50 %Traverse County50Murray County: 50 %Murray County50Becker County: 49.9 %Becker County49.9Koochiching County: 49.9 %Koochiching County49.9
%. Source: Invokely calculation with data from U.S. Census Bureau. Retrieved 2026-10-12.

Full ranking

RankCounties2015 (%)Change on 2014
1Waseca County52.8-0.1 pts
2Ramsey County51.4-0 pts
3Olmsted County51.1+0.1 pts
4Pipestone County51.1-0.1 pts
5Dakota County510 pts
6Big Stone County50.9-0.2 pts
7Chippewa County50.9+0.3 pts
8Rock County50.9+0.2 pts
9Hennepin County50.7-0.1 pts
10Washington County50.70 pts
11Clay County50.70 pts
12Winona County50.7-0.1 pts
13Cottonwood County50.6-0.1 pts
14Martin County50.5-0.2 pts
15Carver County50.4-0 pts
16Faribault County50.4-0 pts
17Houston County50.4+0.2 pts
18Steele County50.4-0.1 pts
19Grant County50.3-0.2 pts
20Watonwan County50.3+0.1 pts
21Wadena County50.30 pts
22Scott County50.2+0.1 pts
23Mahnomen County50.2-0.1 pts
24Goodhue County50.20 pts
25McLeod County50.20 pts
26Lyon County50.1-0 pts
27Kandiyohi County50.1-0 pts
28Crow Wing County50.10 pts
29Anoka County50.1-0 pts
29Douglas County50.10 pts
31Freeborn County50.1-0.2 pts
32Beltrami County50.1-0.1 pts
33Brown County50.1-0.1 pts
34Wabasha County50.10 pts
35Redwood County50.1+0.1 pts
36Mower County50-0.1 pts
37Traverse County50-0.2 pts
38Murray County500 pts
39Becker County49.90 pts
40Koochiching County49.9-0.4 pts
41Hubbard County49.9+0.2 pts
42Pennington County49.9-0.2 pts
43Polk County49.9-0.1 pts
44Mille Lacs County49.9-0.1 pts
45Dodge County49.8-0.2 pts
46Wright County49.8-0 pts
47Nicollet County49.8-0.1 pts
48Benton County49.7-0.1 pts
49Fillmore County49.7-0.2 pts
50St. Louis County49.70 pts
51Blue Earth County49.70 pts
52Stevens County49.6-0.4 pts
53Cook County49.6-0.3 pts
54Lincoln County49.6-0.2 pts
55Stearns County49.60 pts
56Sibley County49.6-0.3 pts
57Swift County49.6-0.1 pts
58Kittson County49.5-0 pts
59Otter Tail County49.5-0 pts
60Isanti County49.5-0 pts
61Red Lake County49.5+0.4 pts
62Clearwater County49.50 pts
63Le Sueur County49.50 pts
64Itasca County49.4-0.1 pts
65Lac qui Parle County49.4-0.3 pts
66Morrison County49.4-0.1 pts
67Yellow Medicine County49.3+0.2 pts
68Pope County49.3-0.2 pts
69Rice County49.2+0.1 pts
70Kanabec County49.20 pts
71Meeker County49.2-0.1 pts
72Jackson County49.2-0.2 pts
73Aitkin County49.2-0.1 pts
74Wilkin County49.10 pts
75Lake County49-0.1 pts
76Renville County49-0.1 pts
77Norman County49-0.6 pts
78Marshall County48.90 pts
79Todd County48.9+0.2 pts
80Nobles County48.8-0 pts
81Cass County48.8-0.3 pts
82Sherburne County48.70 pts
83Roseau County48.6+0.1 pts
84Chisago County48.4-0 pts
85Lake of the Woods County48.2-0.5 pts
86Carlton County47.70 pts
87Pine County46.6-0 pts

Other periods

About this ranking

Female residents as a percentage of total population on 1 July. United States: Census Bureau county population estimates by sex; states and the nation are sums of their counties.

Counties with large prisons or military bases can have low shares.

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, county population by age and sex: female residents as a percentage of the total on 1 July, 2010 to 2019 from the 2010 to 2020 intercensal file and 2020 onwards from the latest vintage; states and the nation summed from counties. https://www.census.gov/programs-surveys/popest/data/data-sets.html. Retrieved 2026-10-12.

Citation styles

The publisher is the author. Invokely is named only as the place the figures were read, where a style asks for it.

APA 7

U.S. Census Bureau. (2026). Population Estimates Program, county population by age and sex: female residents as a percentage of the total on 1 July, 2010 to 2019 from the 2010 to 2020 intercensal file and 2020 onwards from the latest vintage; states and the nation summed from counties (Counties in Minnesota by female population share, 2015) [Data set]. Retrieved October 12, 2026, from https://www.census.gov/programs-surveys/popest/data/data-sets.html

MLA 9

Population Estimates Program, county population by age and sex: female residents as a percentage of the total on 1 July, 2010 to 2019 from the 2010 to 2020 intercensal file and 2020 onwards from the latest vintage; states and the nation summed from counties, Counties in Minnesota by female population share, 2015. U.S. Census Bureau, 25 June 2026, https://www.census.gov/programs-surveys/popest/data/data-sets.html. Invokely, https://invokely.ai/rankings/female-population-share/minnesota-counties?period=2015. Accessed 12 Oct. 2026.

Chicago (author-date)

U.S. Census Bureau. 2026. Population Estimates Program, county population by age and sex: female residents as a percentage of the total on 1 July, 2010 to 2019 from the 2010 to 2020 intercensal file and 2020 onwards from the latest vintage; states and the nation summed from counties. Counties in Minnesota by female population share, 2015. Dataset. Accessed October 12, 2026. https://www.census.gov/programs-surveys/popest/data/data-sets.html. Also distributed by Invokely, https://invokely.ai/rankings/female-population-share/minnesota-counties?period=2015.

Harvard

U.S. Census Bureau (2026) Population Estimates Program, county population by age and sex: female residents as a percentage of the total on 1 July, 2010 to 2019 from the 2010 to 2020 intercensal file and 2020 onwards from the latest vintage; states and the nation summed from counties, Counties in Minnesota by female population share, 2015 [Dataset]. Available at: https://www.census.gov/programs-surveys/popest/data/data-sets.html, via Invokely: https://invokely.ai/rankings/female-population-share/minnesota-counties?period=2015 (Accessed: 12 October 2026).

BibTeX
@misc{census_counties_in_minnesota_by_2015,
  author = {{U.S. Census Bureau}},
  title = {{Population Estimates Program, county population by age and sex: female residents as a percentage of the total on 1 July, 2010 to 2019 from the 2010 to 2020 intercensal file and 2020 onwards from the latest vintage; states and the nation summed from counties: Counties in Minnesota by female population share, 2015}},
  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/female-population-share/minnesota-counties?period=2015. Publisher attribution: U.S. Census Bureau. Population Estimates Program, county population by age and sex: female residents as a percentage of the total on 1 July, 2010 to 2019 from the 2010 to 2020 intercensal file and 2020 onwards from the latest vintage; states and the nation summed from counties. 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, county population by age and sex: female residents as a percentage of the total on 1 July, 2010 to 2019 from the 2010 to 2020 intercensal file and 2020 onwards from the latest vintage; states and the nation summed from counties: Counties in Minnesota by female population share, 2015
PY  - 2026
DA  - 2026/06/25
PB  - U.S. Census Bureau
DB  - Invokely
UR  - https://www.census.gov/programs-surveys/popest/data/data-sets.html
L2  - https://invokely.ai/rankings/female-population-share/minnesota-counties?period=2015
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/female-population-share/minnesota-counties?period=2015.
N1  - Publisher attribution: U.S. Census Bureau. Population Estimates Program, county population by age and sex: female residents as a percentage of the total on 1 July, 2010 to 2019 from the 2010 to 2020 intercensal file and 2020 onwards from the latest vintage; states and the nation summed from counties. https://www.census.gov/programs-surveys/popest/data/data-sets.html. Retrieved 2026-10-12.
ER  -
Embed this chart

Paste this code into a web page or a blog post. The chart shows the latest figures as they are published, with the source and a link back to this page.

Sites that read oEmbed links, such as WordPress, can show the chart when you paste the link to this page.

Use this data in your AI agent

Invokely serves this figure to AI assistants through MCP and to code through a REST API, with the source and citation attached. Ask your assistant:

Rank Counties in Minnesota by female population share using official data, and cite the source.
rank_places {"indicator":"female_share","level":"province","within":"Minnesota","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=female_share&level=province&within=Minnesota&limit=10

Connect Claude, ChatGPT or Cursor in one step. The trial answers 25 calls a day without an account.

Questions

Which county has the highest female population share?

Waseca County, with 52.8% in 2015, according to the U.S. Census Bureau.

Which county has the lowest female population share?

Pine County, with 46.6% in 2015.

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, county population by age and sex: female residents as a percentage of the total on 1 July, 2010 to 2019 from the 2010 to 2020 intercensal file and 2020 onwards from the latest vintage; states and the nation summed from counties. Retrieved 2026-10-12.

Female population share: other rankings

Counties in Minnesota: more rankings