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
46.5
Ashland
61.3
Barron
62.5
Bayfield
58.1
Brown
69.3
Buffalo
64.7
Burnett
54.0
Calumet
72.0
Chippewa
64.3
Clark
64.1
Columbia
68.5
Crawford
58.7
Dane
72.3
Dodge
65.1
Door
59.5
Douglas
64.1
Dunn
66.1
Eau Claire
68.9
Florence
55.2
Fond du Lac
67.2
Forest
53.7
Grant
64.4
Green
70.5
Green Lake
62.6
Iowa
68.7
Iron
54.2
Jackson
60.4
Jefferson
69.3
Juneau
58.1
Kenosha
67.3
Kewaunee
66.3
La Crosse
67.4
Lafayette
67.2
Langlade
58.1
Lincoln
63.0
Manitowoc
64.4
Marathon
68.4
Marinette
58.1
Marquette
58.2
Menominee
52.0
Milwaukee
65.4
Monroe
63.4
Oconto
63.6
Oneida
57.3
Outagamie
70.3
Ozaukee
67.6
Pepin
64.9
Pierce
71.1
Polk
63.7
Portage
67.3
Price
57.6
Racine
64.1
Richland
61.2
Rock
65.9
Rusk
57.5
Sauk
69.4
Sawyer
56.9
Shawano
62.6
Sheboygan
67.0
St. Croix
72.6
Taylor
66.4
Trempealeau
67.6
Vernon
59.1
Vilas
53.8
Walworth
67.3
Washburn
56.1
Washington
70.0
Waukesha
68.2
Waupaca
64.2
Waushara
54.0
Winnebago
65.5
Wood
64.1
Value for Wisconsin (Percent): 66.6%
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.
