About this application: This application provides summary profiles showing frequently requested data items from various US Census Bureau programs. Profiles are available for the nation, states, and counties.
In civilian labor force, female, percent of population age 16 years+, 2014-2018 - (Percent)
County
Value
Aitkin
47.0
Anoka
68.5
Becker
60.4
Beltrami
63.3
Benton
65.9
Big Stone
52.5
Blue Earth
69.8
Brown
62.6
Carlton
60.2
Carver
69.9
Cass
53.0
Chippewa
60.2
Chisago
67.6
Clay
68.5
Clearwater
55.8
Cook
54.5
Cottonwood
57.2
Crow Wing
57.3
Dakota
69.7
Dodge
69.6
Douglas
60.8
Faribault
60.6
Fillmore
61.7
Freeborn
59.0
Goodhue
62.5
Grant
58.6
Hennepin
68.5
Houston
66.3
Hubbard
56.4
Isanti
65.0
Itasca
55.8
Jackson
63.6
Kanabec
58.9
Kandiyohi
62.5
Kittson
58.4
Koochiching
54.4
Lac qui Parle
56.2
Lake
55.9
Lake of the Woods
62.6
Le Sueur
65.3
Lincoln
59.5
Lyon
66.9
Mahnomen
59.4
Marshall
59.6
Martin
59.2
McLeod
63.8
Meeker
59.7
Mille Lacs
59.7
Morrison
62.9
Mower
59.8
Murray
59.9
Nicollet
70.7
Nobles
61.6
Norman
58.3
Olmsted
67.7
Otter Tail
57.7
Pennington
66.7
Pine
56.8
Pipestone
57.5
Polk
62.7
Pope
59.3
Ramsey
66.0
Red Lake
63.6
Redwood
58.5
Renville
59.2
Rice
64.9
Rock
59.6
Roseau
66.5
Scott
70.6
Sherburne
70.2
Sibley
63.7
St. Louis
59.2
Stearns
69.5
Steele
64.2
Stevens
65.5
Swift
59.4
Todd
55.0
Traverse
56.0
Wabasha
64.2
Wadena
55.1
Waseca
57.7
Washington
67.1
Watonwan
61.9
Wilkin
56.6
Winona
67.2
Wright
70.1
Yellow Medicine
57.8
Value for Minnesota (Percent): 66.0%
Data item: In civilian labor force, female, percent of population age 16 years+, 2014-2018
Sources: U.S. Census Bureau, American Community Survey (ACS) and Puerto Rico Community Survey (PRCS), 5-Year Estimates. The PRCS is part of the Census Bureau's ACS, customized for Puerto Rico. Both Surveys are updated every year.
Definition
Civilian Labor Force consists of people classified as employed or unemployed in accordance with the criteria described below.
Employed - This category includes all civilians 16 years old and over who either (1) were "at work," that is, those who did any work at all during the reference week as paid employees, worked in their own business or profession, worked on their own farm, or worked 15 hours or more as unpaid workers on a family farm or in a family business; or (2) were "with a job but not at work," that is, those who did not work during the reference week but had jobs or businesses from which they were temporarily absent due to illness, bad weather, industrial dispute, vacation, or other personal reasons. Excluded from the employed are people whose only activity consisted of work around the house or unpaid volunteer work for religious, charitable, and similar organizations; also excluded are all institutionalized people and people on active duty in the United States Armed Forces. For the complete definition, go to ACS subject definitions "Employment Status."
Source and Accuracy
This Fact is based on data collected in the American Community Survey (ACS) and the Puerto Rico Community Survey (PRCS) conducted annually by the U.S. Census Bureau. A sample of over 3.5 million housing unit addresses is interviewed each year over a 12 month period. This Fact (estimate) is based on five years of ACS and PRCS sample data and describes the average value of person, household and housing unit characteristics over this period of collection.
Statistics from all surveys are subject to sampling and nonsampling error. Sampling error is the uncertainty between an estimate based on a sample and the corresponding value that would be obtained if the estimate were based on the entire population (as from a census). Measures of sampling error are provided in the form of margins of error for all estimates included with ACS and PRCS published products. The Census Bureau recommends that data users incorporate this information into their analyses, as sampling error in survey estimates could impact the conclusions drawn from the results. The data for each geographic area are presented together with margins of error at Using margins of error. A more detailed explanation of margins of error and a demonstration of how to use them is provided below.
For more information on sampling and estimation methodology, confidentiality, and sampling and nonsampling errors, please see the Multiyear Accuracy (US) and the Multiyear Accuracy (Puerto Rico) documents at "Documentation - Accuracy of the data."
Margin of Error
As mentioned above, ACS estimates are based on a sample and are subject to sampling error. The margin of error measures the degree of uncertainty caused by sampling error. The margin of error is used with an ACS estimate to construct a confidence interval about the estimate. The interval is formed by adding the margin of error to the estimate (the upper bound) and subtracting the margin of error from the estimate (the lower bound). It is expected with 90 percent confidence that the interval will contain the full population value of the estimate. The following example is for demonstrating purposes only. Suppose the ACS reported that the percentage of people in a state who were 25 years and older with a bachelor's degree was 21.3 percent and that the margin of error associated with this estimate was 0.7 percent. By adding and subtracting the margin of error from the estimate, we calculate the 90-percent confidence interval for this estimate:
Therefore, we can be 90 percent confident that the percent of the population 25 years and older having a bachelor's degree in a state falls somewhere between 20.6 percent and 22.0 percent.
