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
Alamance
57.7
Alexander
53.6
Alleghany
45.8
Anson
54.1
Ashe
54.3
Avery
48.7
Beaufort
49.6
Bertie
50.3
Bladen
46.5
Brunswick
46.1
Buncombe
57.0
Burke
53.5
Cabarrus
62.4
Caldwell
52.6
Camden
54.5
Carteret
52.9
Caswell
52.1
Catawba
56.9
Chatham
52.2
Cherokee
44.8
Chowan
42.9
Clay
41.9
Cleveland
51.9
Columbus
46.4
Craven
51.8
Cumberland
55.1
Currituck
55.1
Dare
61.2
Davidson
54.5
Davie
53.9
Duplin
51.2
Durham
65.2
Edgecombe
52.3
Forsyth
56.9
Franklin
56.0
Gaston
55.8
Gates
54.5
Graham
41.2
Granville
57.8
Greene
51.8
Guilford
58.7
Halifax
49.0
Harnett
53.7
Haywood
49.7
Henderson
51.1
Hertford
52.9
Hoke
53.6
Hyde
53.3
Iredell
57.4
Jackson
51.2
Johnston
59.9
Jones
46.0
Lee
56.3
Lenoir
52.2
Lincoln
55.0
Macon
44.6
Madison
52.3
Martin
51.5
McDowell
49.6
Mecklenburg
65.5
Mitchell
44.5
Montgomery
48.5
Moore
51.3
Nash
58.3
New Hanover
59.1
Northampton
43.6
Onslow
54.6
Orange
62.1
Pamlico
46.5
Pasquotank
52.7
Pender
53.7
Perquimans
46.0
Person
60.2
Pitt
60.7
Polk
50.1
Randolph
55.8
Richmond
53.3
Robeson
47.3
Rockingham
51.4
Rowan
55.4
Rutherford
47.3
Sampson
51.9
Scotland
49.4
Stanly
56.8
Stokes
52.0
Surry
49.8
Swain
50.5
Transylvania
47.1
Tyrrell
57.0
Union
59.8
Vance
55.8
Wake
64.6
Warren
47.5
Washington
41.4
Watauga
53.7
Wayne
54.7
Wilkes
50.3
Wilson
56.0
Yadkin
48.7
Yancey
47.1
Value for North Carolina (Percent): 57.2%
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.
