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
Adams
49.8
Allen
62.6
Ashland
61.4
Ashtabula
54.2
Athens
51.9
Auglaize
67.2
Belmont
54.2
Brown
59.3
Butler
64.6
Carroll
58.1
Champaign
62.4
Clark
60.5
Clermont
65.8
Clinton
62.8
Columbiana
57.6
Coshocton
57.7
Crawford
58.6
Cuyahoga
63.1
Darke
63.7
Defiance
65.1
Delaware
69.7
Erie
61.6
Fairfield
62.6
Fayette
59.2
Franklin
69.8
Fulton
65.1
Gallia
52.9
Geauga
65.8
Greene
60.7
Guernsey
56.9
Hamilton
66.6
Hancock
66.3
Hardin
60.5
Harrison
54.3
Henry
64.0
Highland
55.8
Hocking
58.0
Holmes
65.4
Huron
62.5
Jackson
59.1
Jefferson
53.4
Knox
61.5
Lake
65.5
Lawrence
53.1
Licking
64.2
Logan
62.6
Lorain
61.2
Lucas
63.0
Madison
56.4
Mahoning
60.0
Marion
53.3
Medina
67.9
Meigs
52.5
Mercer
68.0
Miami
64.1
Monroe
48.4
Montgomery
61.4
Morgan
50.7
Morrow
65.0
Muskingum
59.2
Noble
36.5
Ottawa
59.9
Paulding
60.5
Perry
57.7
Pickaway
56.1
Pike
50.3
Portage
65.5
Preble
62.8
Putnam
68.5
Richland
55.5
Ross
52.7
Sandusky
62.5
Scioto
49.5
Seneca
61.3
Shelby
68.3
Stark
62.9
Summit
64.1
Trumbull
56.0
Tuscarawas
62.2
Union
65.5
Van Wert
63.5
Vinton
55.3
Warren
65.8
Washington
56.1
Wayne
63.5
Williams
62.9
Wood
67.8
Wyandot
64.3
Value for Ohio (Percent): 63.1%
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.
