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
Adams
61.6
Antelope
58.8
Arthur
52.5
Banner
65.6
Blaine
56.9
Boone
60.5
Box Butte
56.0
Boyd
53.1
Brown
54.1
Buffalo
68.9
Burt
57.9
Butler
60.3
Cass
62.6
Cedar
64.5
Chase
58.9
Cherry
65.0
Cheyenne
65.5
Clay
57.4
Colfax
63.7
Cuming
60.9
Custer
57.6
Dakota
65.9
Dawes
57.2
Dawson
64.2
Deuel
56.2
Dixon
63.2
Dodge
63.6
Douglas
66.1
Dundy
53.5
Fillmore
56.1
Franklin
57.2
Frontier
55.6
Furnas
55.7
Gage
61.2
Garden
48.1
Garfield
57.2
Gosper
62.0
Grant
64.5
Greeley
55.3
Hall
65.7
Hamilton
62.1
Harlan
54.3
Hayes
62.1
Hitchcock
55.2
Holt
66.0
Hooker
42.2
Howard
65.7
Jefferson
56.8
Johnson
57.7
Kearney
62.7
Keith
57.8
Keya Paha
63.3
Kimball
63.4
Knox
60.0
Lancaster
68.4
Lincoln
55.7
Logan
57.8
Loup
52.5
Madison
64.5
McPherson
52.2
Merrick
62.4
Morrill
61.8
Nance
60.3
Nemaha
58.3
Nuckolls
57.2
Otoe
64.9
Pawnee
49.3
Perkins
59.8
Phelps
59.5
Pierce
66.2
Platte
66.5
Polk
59.2
Red Willow
65.6
Richardson
59.0
Rock
62.2
Saline
59.9
Sarpy
68.7
Saunders
63.1
Scotts Bluff
60.4
Seward
61.3
Sheridan
60.5
Sherman
57.6
Sioux
58.8
Stanton
65.5
Thayer
59.2
Thomas
61.1
Thurston
60.3
Valley
62.4
Washington
63.0
Wayne
69.4
Webster
55.9
Wheeler
52.9
York
57.5
Value for Nebraska (Percent): 64.9%
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.
