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
Adair
50.6
Alfalfa
47.4
Atoka
45.1
Beaver
59.7
Beckham
54.8
Blaine
48.1
Bryan
56.5
Caddo
53.4
Canadian
68.7
Carter
59.2
Cherokee
53.1
Choctaw
47.9
Cimarron
59.5
Cleveland
65.8
Coal
53.5
Comanche
54.7
Cotton
54.1
Craig
51.9
Creek
56.5
Custer
63.6
Delaware
48.1
Dewey
58.1
Ellis
58.8
Garfield
62.2
Garvin
51.7
Grady
59.6
Grant
60.7
Greer
44.1
Harmon
60.5
Harper
60.4
Haskell
50.7
Hughes
41.7
Jackson
57.4
Jefferson
49.8
Johnston
50.5
Kay
58.1
Kingfisher
63.9
Kiowa
58.5
Latimer
49.7
Le Flore
51.7
Lincoln
55.3
Logan
62.3
Love
55.4
Major
58.8
Marshall
52.5
Mayes
56.0
McClain
62.3
McCurtain
52.0
McIntosh
45.7
Murray
56.6
Muskogee
53.2
Noble
59.8
Nowata
56.6
Okfuskee
44.2
Oklahoma
64.9
Okmulgee
54.3
Osage
53.5
Ottawa
55.5
Pawnee
53.2
Payne
57.3
Pittsburg
53.1
Pontotoc
60.3
Pottawatomie
56.2
Pushmataha
50.9
Roger Mills
59.1
Rogers
63.7
Seminole
52.3
Sequoyah
51.2
Stephens
56.0
Texas
71.4
Tillman
55.5
Tulsa
66.6
Wagoner
63.4
Washington
58.4
Washita
59.1
Woods
61.4
Woodward
60.0
Value for Oklahoma (Percent): 60.7%
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.
