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
Allen
55.0
Anderson
55.5
Atchison
61.2
Barber
54.5
Barton
61.2
Bourbon
51.9
Brown
58.0
Butler
60.3
Chase
53.9
Chautauqua
50.7
Cherokee
52.1
Cheyenne
51.2
Clark
60.5
Clay
61.3
Cloud
58.7
Coffey
58.1
Comanche
59.5
Cowley
54.5
Crawford
59.1
Decatur
51.5
Dickinson
58.4
Doniphan
57.2
Douglas
67.5
Edwards
55.2
Elk
47.6
Ellis
68.1
Ellsworth
59.7
Finney
65.2
Ford
61.3
Franklin
59.9
Geary
56.9
Gove
55.6
Graham
53.0
Grant
58.0
Gray
60.1
Greeley
55.4
Greenwood
52.9
Hamilton
53.1
Harper
54.2
Harvey
57.7
Haskell
55.4
Hodgeman
51.9
Jackson
59.3
Jefferson
60.9
Jewell
51.6
Johnson
65.9
Kearny
46.5
Kingman
55.6
Kiowa
58.5
Labette
58.9
Lane
63.0
Leavenworth
59.3
Lincoln
56.9
Linn
54.2
Logan
58.7
Lyon
64.8
Marion
56.9
Marshall
61.2
McPherson
60.1
Meade
54.3
Miami
61.5
Mitchell
54.1
Montgomery
51.8
Morris
53.2
Morton
49.9
Nemaha
64.0
Neosho
55.0
Ness
50.8
Norton
62.5
Osage
58.9
Osborne
59.3
Ottawa
58.1
Pawnee
49.7
Phillips
59.7
Pottawatomie
58.6
Pratt
58.5
Rawlins
49.5
Reno
59.0
Republic
56.5
Rice
61.2
Riley
63.4
Rooks
59.9
Rush
60.7
Russell
57.0
Saline
59.6
Scott
64.3
Sedgwick
61.3
Seward
59.3
Shawnee
59.5
Sheridan
59.5
Sherman
56.4
Smith
51.7
Stafford
57.1
Stanton
60.1
Stevens
47.9
Sumner
54.5
Thomas
64.9
Trego
63.9
Wabaunsee
58.9
Wallace
60.9
Washington
56.7
Wichita
55.1
Wilson
57.9
Woodson
53.5
Wyandotte
59.8
Value for Kansas (Percent): 61.2%
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.
