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, total, percent of population age 16 years+, 2014-2018 - (Percent)
County
Value
Adams
63.8
Allen
66.6
Bartholomew
65.6
Benton
62.6
Blackford
57.8
Boone
70.5
Brown
58.0
Carroll
60.3
Cass
59.9
Clark
65.9
Clay
62.0
Clinton
64.2
Crawford
53.1
Daviess
62.3
Dearborn
65.8
Decatur
65.5
DeKalb
66.7
Delaware
58.8
Dubois
68.2
Elkhart
65.9
Fayette
55.4
Floyd
66.1
Fountain
60.0
Franklin
63.7
Fulton
62.7
Gibson
62.9
Grant
57.5
Greene
57.2
Hamilton
73.2
Hancock
67.7
Harrison
59.6
Hendricks
70.2
Henry
53.7
Howard
59.3
Huntington
64.7
Jackson
62.7
Jasper
61.1
Jay
62.0
Jefferson
57.7
Jennings
62.8
Johnson
67.7
Knox
62.7
Kosciusko
66.2
LaGrange
63.0
Lake
61.4
LaPorte
57.0
Lawrence
58.6
Madison
57.4
Marion
67.0
Marshall
62.6
Martin
58.8
Miami
56.1
Monroe
62.1
Montgomery
64.5
Morgan
63.1
Newton
57.9
Noble
65.1
Ohio
63.4
Orange
56.6
Owen
58.8
Parke
52.4
Perry
55.6
Pike
60.2
Porter
62.3
Posey
62.6
Pulaski
58.1
Putnam
54.3
Randolph
59.3
Ripley
64.9
Rush
58.6
Scott
55.7
Shelby
65.4
Spencer
63.0
St. Joseph
63.9
Starke
56.8
Steuben
63.7
Sullivan
51.6
Switzerland
55.8
Tippecanoe
64.1
Tipton
61.2
Union
59.4
Vanderburgh
63.1
Vermillion
55.0
Vigo
59.8
Wabash
60.0
Warren
62.3
Warrick
66.9
Washington
57.9
Wayne
58.9
Wells
64.7
White
62.3
Whitley
65.4
Value for Indiana (Percent): 63.8%
Data item: In civilian labor force, total, 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.
