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
64.3
Alexander
47.0
Bond
55.6
Boone
66.6
Brown
44.6
Bureau
62.7
Calhoun
54.3
Carroll
58.6
Cass
65.4
Champaign
62.3
Christian
57.1
Clark
66.0
Clay
60.6
Clinton
63.1
Coles
60.9
Cook
65.9
Crawford
54.0
Cumberland
62.9
De Witt
66.0
DeKalb
67.4
Douglas
64.1
DuPage
69.1
Edgar
61.5
Edwards
62.0
Effingham
67.0
Fayette
52.4
Ford
61.6
Franklin
54.1
Fulton
55.4
Gallatin
53.2
Greene
57.9
Grundy
67.6
Hamilton
56.9
Hancock
58.6
Hardin
48.2
Henderson
59.8
Henry
60.9
Iroquois
61.6
Jackson
56.4
Jasper
60.5
Jefferson
57.1
Jersey
61.5
Jo Daviess
61.8
Johnson
38.8
Kane
68.9
Kankakee
61.0
Kendall
73.1
Knox
53.6
Lake
67.4
LaSalle
61.6
Lawrence
50.5
Lee
56.7
Livingston
58.2
Logan
54.4
Macon
61.1
Macoupin
59.8
Madison
63.1
Marion
61.2
Marshall
59.1
Mason
59.3
Massac
51.5
McDonough
55.4
McHenry
70.3
McLean
67.0
Menard
64.3
Mercer
61.7
Monroe
68.0
Montgomery
49.3
Morgan
58.1
Moultrie
62.8
Ogle
64.3
Peoria
62.2
Perry
48.2
Piatt
67.7
Pike
58.2
Pope
40.9
Pulaski
45.2
Putnam
65.0
Randolph
50.8
Richland
60.8
Rock Island
62.7
Saline
55.1
Sangamon
64.2
Schuyler
51.6
Scott
61.8
Shelby
61.1
St. Clair
61.3
Stark
58.3
Stephenson
62.2
Tazewell
62.1
Union
54.9
Vermilion
55.2
Wabash
60.9
Warren
62.2
Washington
65.2
Wayne
59.2
White
57.2
Whiteside
61.4
Will
68.9
Williamson
56.8
Winnebago
64.5
Woodford
64.3
Value for Illinois (Percent): 65.1%
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.
