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, female, percent of population age 16 years+, 2014-2018 - (Percent)
County
Value
Arkansas
54.7
Ashley
47.2
Baxter
47.2
Benton
58.0
Boone
51.9
Bradley
47.0
Calhoun
46.1
Carroll
49.5
Chicot
46.1
Clark
52.6
Clay
50.1
Cleburne
43.9
Cleveland
47.0
Columbia
50.2
Conway
54.6
Craighead
57.5
Crawford
49.7
Crittenden
57.8
Cross
54.0
Dallas
47.9
Desha
48.0
Drew
55.1
Faulkner
56.5
Franklin
48.4
Fulton
41.8
Garland
49.6
Grant
51.0
Greene
51.2
Hempstead
50.6
Hot Spring
48.6
Howard
52.2
Independence
49.3
Izard
44.9
Jackson
30.8
Jefferson
53.3
Johnson
47.4
Lafayette
44.6
Lawrence
48.3
Lee
43.4
Lincoln
45.9
Little River
49.6
Logan
52.0
Lonoke
55.3
Madison
48.3
Marion
40.2
Miller
50.1
Mississippi
54.3
Monroe
51.9
Montgomery
37.8
Nevada
44.6
Newton
46.1
Ouachita
52.6
Perry
45.2
Phillips
50.7
Pike
48.2
Poinsett
47.0
Polk
45.4
Pope
54.0
Prairie
47.6
Pulaski
58.8
Randolph
42.0
Saline
58.4
Scott
55.7
Searcy
44.7
Sebastian
53.9
Sevier
54.8
Sharp
39.0
St. Francis
47.1
Stone
38.1
Union
50.4
Van Buren
39.7
Washington
57.9
White
49.7
Woodruff
46.9
Yell
51.3
Value for Arkansas (Percent): 53.3%
Data item: In civilian labor force, female, 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.
