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
Anderson
57.0
Bedford
62.4
Benton
45.6
Bledsoe
50.5
Blount
59.7
Bradley
60.5
Campbell
51.6
Cannon
58.3
Carroll
51.0
Carter
51.7
Cheatham
64.2
Chester
54.3
Claiborne
49.3
Clay
45.0
Cocke
53.6
Coffee
58.5
Crockett
56.5
Cumberland
46.5
Davidson
70.9
Decatur
52.3
DeKalb
52.8
Dickson
57.7
Dyer
58.6
Fayette
57.7
Fentress
49.3
Franklin
56.0
Gibson
54.8
Giles
55.1
Grainger
54.6
Greene
53.0
Grundy
48.4
Hamblen
56.0
Hamilton
61.8
Hancock
46.5
Hardeman
43.8
Hardin
50.3
Hawkins
51.3
Haywood
58.0
Henderson
55.3
Henry
50.7
Hickman
51.1
Houston
48.0
Humphreys
51.0
Jackson
48.2
Jefferson
55.6
Johnson
39.7
Knox
64.4
Lake
33.6
Lauderdale
48.7
Lawrence
52.8
Lewis
53.6
Lincoln
56.8
Loudon
51.2
Macon
58.0
Madison
58.7
Marion
56.3
Marshall
59.5
Maury
62.6
McMinn
53.3
McNairy
50.6
Meigs
50.8
Monroe
50.4
Montgomery
58.0
Moore
55.5
Morgan
43.7
Obion
55.4
Overton
52.7
Perry
47.4
Pickett
49.9
Polk
53.9
Putnam
57.4
Rhea
55.4
Roane
52.0
Robertson
65.5
Rutherford
70.9
Scott
52.7
Sequatchie
52.1
Sevier
62.3
Shelby
64.4
Smith
58.9
Stewart
51.6
Sullivan
54.3
Sumner
66.3
Tipton
61.6
Trousdale
57.1
Unicoi
51.8
Union
50.7
Van Buren
51.3
Warren
56.2
Washington
58.7
Wayne
44.7
Weakley
54.5
White
51.6
Williamson
68.9
Wilson
65.8
Value for Tennessee (Percent): 60.9%
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.
