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
Adair
59.6
Adams
53.6
Allamakee
57.1
Appanoose
52.0
Audubon
59.0
Benton
62.6
Black Hawk
64.6
Boone
61.9
Bremer
62.6
Buchanan
63.1
Buena Vista
65.0
Butler
59.8
Calhoun
56.8
Carroll
63.9
Cass
56.1
Cedar
65.4
Cerro Gordo
59.5
Cherokee
59.1
Chickasaw
62.8
Clarke
59.2
Clay
58.2
Clayton
60.2
Clinton
58.3
Crawford
57.1
Dallas
69.9
Davis
54.3
Decatur
56.6
Delaware
65.9
Des Moines
58.8
Dickinson
60.5
Dubuque
64.1
Emmet
57.3
Fayette
59.9
Floyd
58.5
Franklin
56.0
Fremont
56.8
Greene
59.7
Grundy
58.5
Guthrie
61.2
Hamilton
60.0
Hancock
60.0
Hardin
59.1
Harrison
59.9
Henry
59.1
Howard
61.9
Humboldt
57.4
Ida
62.1
Iowa
63.1
Jackson
56.6
Jasper
60.4
Jefferson
58.2
Johnson
69.0
Jones
60.9
Keokuk
58.9
Kossuth
57.3
Lee
56.8
Linn
65.7
Louisa
59.0
Lucas
59.3
Lyon
63.8
Madison
65.8
Mahaska
58.9
Marion
61.9
Marshall
58.6
Mills
61.0
Mitchell
58.0
Monona
56.8
Monroe
58.7
Montgomery
60.8
Muscatine
60.4
O'Brien
60.7
Osceola
61.1
Page
57.1
Palo Alto
60.2
Plymouth
63.7
Pocahontas
56.3
Polk
67.5
Pottawattamie
62.6
Poweshiek
63.2
Ringgold
51.0
Sac
59.3
Scott
61.6
Shelby
59.4
Sioux
66.5
Story
66.0
Tama
60.9
Taylor
56.9
Union
60.7
Van Buren
50.4
Wapello
59.0
Warren
65.4
Washington
60.6
Wayne
48.9
Webster
57.0
Winnebago
59.7
Winneshiek
66.2
Woodbury
63.9
Worth
63.8
Wright
55.0
Value for Iowa (Percent): 63.1%
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.
