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
Alamance
62.4
Alexander
57.2
Alleghany
51.9
Anson
54.8
Ashe
57.9
Avery
46.1
Beaufort
53.6
Bertie
51.3
Bladen
50.2
Brunswick
49.9
Buncombe
61.5
Burke
56.3
Cabarrus
68.2
Caldwell
58.0
Camden
60.3
Carteret
56.4
Caswell
54.3
Catawba
62.4
Chatham
58.0
Cherokee
47.0
Chowan
51.6
Clay
49.7
Cleveland
55.7
Columbus
46.6
Craven
53.2
Cumberland
53.6
Currituck
61.1
Dare
64.4
Davidson
60.4
Davie
59.5
Duplin
58.1
Durham
67.6
Edgecombe
55.5
Forsyth
61.5
Franklin
60.5
Gaston
61.3
Gates
58.8
Graham
48.6
Granville
58.1
Greene
52.3
Guilford
63.4
Halifax
50.8
Harnett
55.6
Haywood
54.8
Henderson
56.6
Hertford
52.0
Hoke
52.4
Hyde
51.1
Iredell
64.7
Jackson
54.5
Johnston
64.5
Jones
52.7
Lee
61.5
Lenoir
58.1
Lincoln
61.6
Macon
50.8
Madison
56.2
Martin
55.0
McDowell
53.5
Mecklenburg
71.1
Mitchell
51.7
Montgomery
50.8
Moore
54.4
Nash
61.2
New Hanover
62.3
Northampton
46.0
Onslow
46.4
Orange
64.8
Pamlico
47.3
Pasquotank
55.5
Pender
57.5
Perquimans
50.8
Person
61.7
Pitt
64.0
Polk
52.1
Randolph
60.9
Richmond
53.4
Robeson
50.3
Rockingham
56.2
Rowan
59.4
Rutherford
53.0
Sampson
58.5
Scotland
49.3
Stanly
61.1
Stokes
58.2
Surry
55.0
Swain
53.5
Transylvania
50.0
Tyrrell
45.5
Union
67.5
Vance
58.4
Wake
70.4
Warren
47.7
Washington
47.9
Watauga
56.2
Wayne
58.1
Wilkes
55.6
Wilson
59.2
Yadkin
54.2
Yancey
52.5
Value for North Carolina (Percent): 61.3%
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.
