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
Alachua
59.7
Baker
52.2
Bay
58.5
Bradford
44.7
Brevard
54.1
Broward
65.7
Calhoun
44.1
Charlotte
41.7
Citrus
40.2
Clay
61.5
Collier
52.8
Columbia
51.5
DeSoto
46.6
Dixie
36.6
Duval
64.1
Escambia
56.9
Flagler
47.4
Franklin
45.0
Gadsden
48.3
Gilchrist
49.5
Glades
37.1
Gulf
44.4
Hamilton
36.1
Hardee
51.4
Hendry
59.8
Hernando
46.7
Highlands
42.6
Hillsborough
64.5
Holmes
45.8
Indian River
47.8
Jackson
44.3
Jefferson
45.8
Lafayette
39.9
Lake
52.4
Lee
52.7
Leon
65.6
Levy
48.9
Liberty
38.2
Madison
42.5
Manatee
53.5
Marion
46.3
Martin
51.5
Monroe
62.8
Nassau
57.4
Okaloosa
57.7
Okeechobee
48.0
Orange
66.6
Osceola
62.6
Palm Beach
59.7
Pasco
53.3
Pinellas
57.8
Polk
54.9
Putnam
47.5
Santa Rosa
56.4
Sarasota
48.5
Seminole
65.0
St. Johns
59.7
St. Lucie
53.8
Sumter
23.6
Suwannee
51.0
Taylor
37.7
Union
32.2
Volusia
52.4
Wakulla
54.5
Walton
57.5
Washington
46.2
Value for Florida (Percent): 58.3%
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.
