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
Aurora
68.8
Beadle
67.7
Bennett
59.2
Bon Homme
50.8
Brookings
71.5
Brown
69.1
Brule
68.3
Buffalo
58.7
Butte
63.9
Campbell
62.2
Charles Mix
60.5
Clark
65.8
Clay
69.3
Codington
71.0
Corson
62.3
Custer
54.8
Davison
68.8
Day
61.2
Deuel
68.3
Dewey
67.8
Douglas
63.6
Edmunds
64.0
Fall River
56.6
Faulk
59.0
Grant
64.6
Gregory
62.4
Haakon
58.7
Hamlin
67.6
Hand
66.9
Hanson
67.7
Harding
65.0
Hughes
68.6
Hutchinson
66.4
Hyde
62.0
Jackson
47.4
Jerauld
59.9
Jones
66.2
Kingsbury
67.6
Lake
68.5
Lawrence
65.7
Lincoln
75.8
Lyman
65.4
Marshall
67.7
McCook
72.3
McPherson
57.9
Meade
66.5
Mellette
43.3
Miner
66.6
Minnehaha
74.8
Moody
67.9
Pennington
66.0
Perkins
69.0
Potter
60.9
Roberts
64.6
Sanborn
68.7
Spink
64.0
Stanley
75.4
Sully
65.4
Todd
45.8
Tripp
66.5
Turner
66.8
Union
68.6
Walworth
64.5
Yankton
63.9
Ziebach
66.7
Value for South Dakota (Percent): 68.1%
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.
