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
Adams
45.9
Allen
59.2
Ashland
57.2
Ashtabula
50.7
Athens
50.8
Auglaize
60.4
Belmont
51.0
Brown
53.2
Butler
59.6
Carroll
51.4
Champaign
56.9
Clark
55.8
Clermont
60.3
Clinton
57.4
Columbiana
54.3
Coshocton
52.2
Crawford
54.1
Cuyahoga
59.6
Darke
57.7
Defiance
60.1
Delaware
63.1
Erie
57.9
Fairfield
58.6
Fayette
52.9
Franklin
65.5
Fulton
61.1
Gallia
47.5
Geauga
59.1
Greene
56.5
Guernsey
52.0
Hamilton
62.2
Hancock
61.3
Hardin
55.9
Harrison
46.7
Henry
58.6
Highland
49.9
Hocking
53.8
Holmes
51.6
Huron
57.2
Jackson
54.7
Jefferson
49.2
Knox
56.7
Lake
61.2
Lawrence
49.4
Licking
60.0
Logan
56.8
Lorain
58.7
Lucas
59.3
Madison
58.6
Mahoning
55.8
Marion
54.4
Medina
62.0
Meigs
47.9
Mercer
63.2
Miami
58.9
Monroe
41.0
Montgomery
57.2
Morgan
46.6
Morrow
62.6
Muskingum
55.4
Noble
46.8
Ottawa
54.9
Paulding
52.9
Perry
52.5
Pickaway
56.7
Pike
45.2
Portage
60.5
Preble
57.9
Putnam
63.5
Richland
53.5
Ross
52.5
Sandusky
58.3
Scioto
47.0
Seneca
57.3
Shelby
60.8
Stark
57.7
Summit
59.4
Trumbull
51.6
Tuscarawas
55.3
Union
56.7
Van Wert
59.1
Vinton
51.0
Warren
61.7
Washington
51.0
Wayne
56.5
Williams
58.6
Wood
63.2
Wyandot
60.3
Value for Ohio (Percent): 58.8%
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.
