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
55.1
Allen
62.0
Bartholomew
57.7
Benton
54.6
Blackford
53.1
Boone
64.7
Brown
53.9
Carroll
52.8
Cass
54.8
Clark
61.7
Clay
57.6
Clinton
58.3
Crawford
47.9
Daviess
52.3
Dearborn
61.5
Decatur
59.4
DeKalb
60.8
Delaware
54.9
Dubois
62.1
Elkhart
58.0
Fayette
50.0
Floyd
61.0
Fountain
52.0
Franklin
58.5
Fulton
56.2
Gibson
56.4
Grant
53.8
Greene
51.9
Hamilton
66.9
Hancock
61.8
Harrison
55.7
Hendricks
65.7
Henry
53.4
Howard
54.1
Huntington
59.8
Jackson
57.1
Jasper
53.0
Jay
54.7
Jefferson
49.3
Jennings
60.0
Johnson
63.0
Knox
58.7
Kosciusko
58.7
LaGrange
48.5
Lake
56.4
LaPorte
57.2
Lawrence
53.9
Madison
55.5
Marion
63.3
Marshall
57.0
Martin
53.1
Miami
52.6
Monroe
60.0
Montgomery
58.7
Morgan
58.0
Newton
47.4
Noble
60.7
Ohio
57.1
Orange
52.7
Owen
52.5
Parke
41.6
Perry
57.1
Pike
54.6
Porter
55.7
Posey
58.6
Pulaski
51.5
Putnam
53.2
Randolph
55.9
Ripley
59.2
Rush
52.1
Scott
51.3
Shelby
59.8
Spencer
56.1
St. Joseph
59.9
Starke
52.2
Steuben
57.4
Sullivan
48.5
Switzerland
49.7
Tippecanoe
60.8
Tipton
54.1
Union
55.9
Vanderburgh
58.8
Vermillion
48.8
Vigo
58.3
Wabash
54.1
Warren
56.4
Warrick
60.6
Washington
49.9
Wayne
55.7
Wells
56.5
White
56.8
Whitley
58.8
Value for Indiana (Percent): 59.1%
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.
