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.
Mean travel time to work (minutes), workers age 16 years+, 2014-2018 - (Minutes)
County
Value
Alachua
22.0
Baker
30.1
Bay
23.3
Bradford
32.8
Brevard
24.8
Broward
28.4
Calhoun
24.7
Charlotte
24.9
Citrus
25.5
Clay
33.2
Collier
24.7
Columbia
24.8
DeSoto
24.7
Dixie
26.6
Duval
24.9
Escambia
22.1
Flagler
26.7
Franklin
19.5
Gadsden
31.7
Gilchrist
33.3
Glades
33.7
Gulf
23.7
Hamilton
22.6
Hardee
23.8
Hendry
28.1
Hernando
30.2
Highlands
19.9
Hillsborough
27.8
Holmes
27.8
Indian River
22.4
Jackson
23.0
Jefferson
29.9
Lafayette
28.8
Lake
29.4
Lee
27.3
Leon
20.9
Levy
30.5
Liberty
31.5
Madison
27.2
Manatee
25.7
Marion
25.5
Martin
25.5
Monroe
17.6
Nassau
30.2
Okaloosa
23.7
Okeechobee
23.5
Orange
27.8
Osceola
32.8
Palm Beach
25.6
Pasco
31.8
Pinellas
24.3
Polk
26.8
Putnam
29.2
Santa Rosa
29.6
Sarasota
24.1
Seminole
27.2
St. Johns
27.3
St. Lucie
27.4
Sumter
24.8
Suwannee
27.0
Taylor
23.2
Union
22.6
Volusia
25.7
Wakulla
33.9
Walton
28.2
Washington
30.8
Value for Florida (Minutes): 27.4
Data item: Mean travel time to work (minutes), workers 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
Travel time to work refers to the total number of minutes that it usually took the person to get from home to work each day during the reference week. The elapsed time includes time spent waiting for public transportation, picking up passengers in carpools, and time spent in other activities related to getting to work.
Mean travel time to work is obtained by dividing the total number of minutes by the number of workers 16 years old and over who did not work at home. Mean travel time to work is rounded to the nearest tenth of a minute. For the complete definition, go to ACS subject definitions "Travel Time to Work."
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.
