85 datasets found
  1. Average daily commute length in the United States 2019 to 2024

    • statista.com
    Updated Jul 2, 2025
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    Statista (2025). Average daily commute length in the United States 2019 to 2024 [Dataset]. https://www.statista.com/statistics/1427497/workers-average-daily-commute-length-united-states/
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    Dataset updated
    Jul 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2019 - Sep 2024
    Area covered
    United States
    Description

    According to the Statista Consumer Insights, for the period between October 2023 and September 2024, around of U.S. American workers spent an average of **** an hour or less commuting to work. In the period between 2019 and 2024, the share of workers commuting less than ** minutes dropped by ***** percentage points to ** percent, while the share of workers commuting over **** an hour decreased from ** to ** percent. Rise of hybrid work models The transformation in commute times coincides with a surge in hybrid work arrangements. By the second quarter of 2024, ** percent of U.S. workers reported adopting a hybrid work model, blending remote and on-site work. This shift, initially sparked by the COVID-19 pandemic, has reshaped how Americans balance their professional and personal lives, offering increased flexibility and potentially reducing overall commute times for many. Driving remains most common form of commuting Among those workers who continue to travel to their place of work, driving remained the most popular mode. Over ********** of U.S. Americans drove to work by car, truck or van in 2022 and an additional nearly **** percent used a carpool to get to their job. Public transportation, meanwhile, was only used by *** percent of workers.

  2. Duration of daily commute in the U.S. 2025

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Duration of daily commute in the U.S. 2025 [Dataset]. https://www.statista.com/forecasts/997116/duration-of-daily-commute-in-the-us
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2024 - Mar 2025
    Area covered
    United States
    Description

    When asked about "Duration of daily commute", ** percent of U.S. respondents answer "15 to ** minutes". This online survey was conducted in 2025, among ****** consumers.

  3. Average daily commute length in Brazil 2019 to 2023

    • statista.com
    Updated Dec 7, 2023
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    Statista (2023). Average daily commute length in Brazil 2019 to 2023 [Dataset]. https://www.statista.com/statistics/1427431/workers-average-daily-commute-length-brazil/
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    Dataset updated
    Dec 7, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2019 - Jun 2023
    Area covered
    Brazil
    Description

    According to the Statista Consumer Insights, for the period between October 2022 and September 2023, just over half of Brazilian workers had an average daily commute time of less than half an hour. Between 2019 and 2023, the share of workers commuting 15 to 19 minutes increased by four percentage points, while the share of workers who commuted 60 to 119 minutes decreased by three percentage points.

  4. T

    Average Commute Time to Work

    • open.piercecountywa.gov
    • internal.open.piercecountywa.gov
    Updated Jul 13, 2025
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    Pierce County (2025). Average Commute Time to Work [Dataset]. https://open.piercecountywa.gov/Transportation/Average-Commute-Time-to-Work/6wet-tt79
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    application/rdfxml, csv, tsv, xml, application/rssxml, kml, application/geo+json, kmzAvailable download formats
    Dataset updated
    Jul 13, 2025
    Dataset authored and provided by
    Pierce County
    Description

    Mean travel time to work (minutes) DP03_0025E County and State values are from the ACS 1 Year Survey.

  5. Average Commute Time by County

    • data.wu.ac.at
    • documentation-resources.opendatasoft.com
    Updated Aug 2, 2017
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    U.S. Census Bureau (2017). Average Commute Time by County [Dataset]. https://data.wu.ac.at/schema/public_opendatasoft_com/Y29tbXV0ZS10aW1lLXVzLWNvdW50aWVz
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    csv, json, xls, application/vnd.geo+json, kmlAvailable download formats
    Dataset updated
    Aug 2, 2017
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    License

    https://www.census.gov/data/developers/about/terms-of-service.htmlhttps://www.census.gov/data/developers/about/terms-of-service.html

    Description

    Average commute time in each U.S. county in minutes.

    This product uses the Census Bureau Data API but is not endorsed or certified by the Census Bureau.

  6. c

    Travel Time to Work

    • data.ccrpc.org
    csv
    Updated Oct 16, 2024
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    Champaign County Regional Planning Commission (2024). Travel Time to Work [Dataset]. https://data.ccrpc.org/dataset/travel-time-to-work
    Explore at:
    csv(677)Available download formats
    Dataset updated
    Oct 16, 2024
    Dataset provided by
    Champaign County Regional Planning Commission
    Description

    The Travel Time to Work indicator compares the mean, or average, commute time for Champaign County residents to the mean commute time for residents of Illinois and the United States as a whole. On its own, mean travel time of all commuters on all mode types could be reflective of a number of different conditions. Congestion, mode choice, changes in residential patterns, changes in the location of major employment centers, and changes in the transit network can all impact travel time in different and often conflicting ways. Since the onset of the COVID-19 pandemic in 2020, the workplace location (office vs. home) is another factor that can impact the mean travel time of an area. We don’t recommend trying to draw any conclusions about conditions in Champaign County, or anywhere else, based on mean travel time alone.

    However, when combined with other indicators in the Mobility category (and other categories), mean travel time to work is a valuable measure of transportation behaviors in Champaign County.

    Champaign County’s mean travel time to work is lower than the mean travel time to work in Illinois and the United States. Based on this figure, the state of Illinois has the longest commutes of the three analyzed areas.

    The year-to-year fluctuations in mean travel time have been statistically significant in the United States since 2014, and in Illinois in 2021 and 2022. Champaign County’s year-to-year fluctuations in mean travel time were statistically significant from 2021 to 2022, the first time since this data first started being tracked in 2005.

    Mean travel time data was sourced from the U.S. Census Bureau’s American Community Survey (ACS) 1-Year Estimates, which are released annually.

    As with any datasets that are estimates rather than exact counts, it is important to take into account the margins of error (listed in the column beside each figure) when drawing conclusions from the data.

    Due to the impact of the COVID-19 pandemic, instead of providing the standard 1-year data products, the Census Bureau released experimental estimates from the 1-year data in 2020. This includes a limited number of data tables for the nation, states, and the District of Columbia. The Census Bureau states that the 2020 ACS 1-year experimental tables use an experimental estimation methodology and should not be compared with other ACS data. For these reasons, and because data is not available for Champaign County, no data for 2020 is included in this Indicator.

    For interested data users, the 2020 ACS 1-Year Experimental data release includes a dataset on Travel Time to Work.

    Sources: U.S. Census Bureau; American Community Survey, 2023 American Community Survey 1-Year Estimates, Table S0801; generated by CCRPC staff; using data.census.gov; (16 October 2024).; U.S. Census Bureau; American Community Survey, 2022 American Community Survey 1-Year Estimates, Table S0801; generated by CCRPC staff; using data.census.gov; (10 October 2023).; U.S. Census Bureau; American Community Survey, 2021 American Community Survey 1-Year Estimates, Table S0801; generated by CCRPC staff; using data.census.gov; (17 October 2022).; U.S. Census Bureau; American Community Survey, 2019 American Community Survey 1-Year Estimates, Table S0801; generated by CCRPC staff; using data.census.gov; (29 March 2021).; U.S. Census Bureau; American Community Survey, 2018 American Community Survey 1-Year Estimates, Table S0801; generated by CCRPC staff; using data.census.gov; (29 March 2021).; U.S. Census Bureau; American Community Survey, 2017 American Community Survey 1-Year Estimates, Table S0801; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2016 American Community Survey 1-Year Estimates, Table S0801; generated by CCRPC staff; using American FactFinder; (14 September 2017).; U.S. Census Bureau; American Community Survey, 2015 American Community Survey 1-Year Estimates, Table S0801; generated by CCRPC staff; using American FactFinder; (19 September 2016).; U.S. Census Bureau; American Community Survey, 2014 American Community Survey 1-Year Estimates, Table S0801; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2013 American Community Survey 1-Year Estimates, Table S0801; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2012 American Community Survey 1-Year Estimates, Table S0801; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2011 American Community Survey 1-Year Estimates, Table S0801; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2010 American Community Survey 1-Year Estimates, Table S0801; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2009 American Community Survey 1-Year Estimates, Table S0801; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2008 American Community Survey 1-Year Estimates, Table S0801; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2007 American Community Survey 1-Year Estimates, Table S0801; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2006 American Community Survey 1-Year Estimates, Table S0801; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2005 American Community Survey 1-Year Estimates, Table S0801; generated by CCRPC staff; using American FactFinder; (16 March 2016).

  7. F

    Mean Commuting Time for Workers (5-year estimate) in Dallas County, TX

    • fred.stlouisfed.org
    json
    Updated Dec 12, 2024
    + more versions
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    (2024). Mean Commuting Time for Workers (5-year estimate) in Dallas County, TX [Dataset]. https://fred.stlouisfed.org/series/B080ACS048113
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    jsonAvailable download formats
    Dataset updated
    Dec 12, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Texas, Dallas County
    Description

    Graph and download economic data for Mean Commuting Time for Workers (5-year estimate) in Dallas County, TX (B080ACS048113) from 2009 to 2023 about Dallas County, TX; commuting time; Dallas; workers; average; TX; 5-year; and USA.

  8. T

    Vital Signs: Commute Time (by Place of Residence) – by county (2022)

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Jan 4, 2023
    + more versions
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    (2023). Vital Signs: Commute Time (by Place of Residence) – by county (2022) [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Commute-Time-by-Place-of-Residence-by-/5bqp-dsj6
    Explore at:
    application/rssxml, csv, json, xml, application/rdfxml, tsvAvailable download formats
    Dataset updated
    Jan 4, 2023
    Description

    VITAL SIGNS INDICATOR
    Commute Time (T3)

    FULL MEASURE NAME
    Commute time by residential location

    LAST UPDATED
    January 2023

    DESCRIPTION
    Commute time refers to the average number of minutes a commuter spends traveling to work on a typical day. The dataset includes metropolitan area, county, city, and census tract tables by place of residence.

    DATA SOURCE
    U.S. Census Bureau: Decennial Census (1980-2000) - via MTC/ABAG Bay Area Census - http://www.bayareacensus.ca.gov/transportation.htm

    U.S. Census Bureau: American Community Survey - https://data.census.gov/
    2006-2021
    Form C08136
    Form C08536
    Form B08301
    Form B08301
    Form B08301

    CONTACT INFORMATION
    vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator)
    For the decennial Census datasets, breakdown of commute times was unavailable by mode; only overall data could be provided on a historical basis.

    For the American Community Survey (ACS) datasets, 1-year rolling average data was used for all metros, region and county geographic levels, while 5-year rolling average data was used for cities and tracts. This is due to the fact that more localized data is not included in the 1-year dataset across all Bay Area cities. Similarly, modal data is not available for every Bay Area city or census tract, even when the 5-year data is used for those localized geographies.

    Regional commute times were calculated by summing aggregate county travel times and dividing by the relevant population; similarly, modal commute times were calculated using aggregate times and dividing by the number of communities choosing that mode for the given geography.

    Census tract data is not available for tracts with insufficient numbers of residents. The metropolitan area comparison was performed for the nine-county San Francisco Bay Area in addition to the primary metropolitan statistical areas (MSAs) for the nine other major metropolitan areas.

  9. EU: average daily commuting time by gender in 2014

    • statista.com
    Updated Feb 2, 2016
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    Statista (2016). EU: average daily commuting time by gender in 2014 [Dataset]. https://www.statista.com/statistics/596270/average-daily-commuting-time-by-gender/
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    Dataset updated
    Feb 2, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2014
    Area covered
    Europe
    Description

    This statistic illustrates the average daily commute times in various countries of the European Union (EU) in 2014 in minutes and by gender. While the average daily commuting time of men in the EU increases if they have children, the average commuting time of women with children decreases.

  10. Vital Signs: Commute Time (by Place of Employment) – by city

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Apr 13, 2020
    + more versions
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    U.S. Census Bureau (2020). Vital Signs: Commute Time (by Place of Employment) – by city [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Commute-Time-by-Place-of-Employment-by/c3aw-yh38
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    csv, application/rdfxml, json, tsv, xml, application/rssxmlAvailable download formats
    Dataset updated
    Apr 13, 2020
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    U.S. Census Bureau
    Description

    VITAL SIGNS INDICATOR Commute Time (T4)

    FULL MEASURE NAME Commute time by employment location

    LAST UPDATED April 2020

    DESCRIPTION Commute time refers to the average number of minutes a commuter spends traveling to work on a typical day. The dataset includes metropolitan area, county, city, and census tract tables by place of residence.

    DATA SOURCE U.S. Census Bureau: Decennial Census (1980-2000) - via MTC/ABAG Bay Area Census http://www.bayareacensus.ca.gov/transportation.htm

    U.S. Census Bureau: American Community Survey Table B08536 (2018 only; by place of employment) Table B08601 (2018 only; by place of employment) www.api.census.gov

    CONTACT INFORMATION vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator) For the decennial Census datasets, breakdown of commute times was unavailable by mode; only overall data could be provided on a historical basis.

    For the American Community Survey datasets, 1-year rolling average data was used for all metros, region, and county geographic levels, while 5-year rolling average data was used for cities and tracts. This is due to the fact that more localized data is not included in the 1-year dataset across all Bay Area cities. Similarly, modal data is not available for every Bay Area city or census tract, even when the 5-year data is used for those localized geographies.

    Regional commute times were calculated by summing aggregate county travel times and dividing by the relevant population; similarly, modal commute time were calculated using aggregate times and dividing by the number of communities choosing that mode for the given geography. Census tract data is not available for tracts with insufficient numbers of residents.

    The metropolitan area comparison was performed for the nine-county San Francisco Bay Area in addition to the primary MSAs for the nine other major metropolitan areas.

  11. Average commute time by county (US Census Bureau)

    • kaggle.com
    Updated Dec 2, 2020
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    Ben_White (2020). Average commute time by county (US Census Bureau) [Dataset]. https://www.kaggle.com/benwhite/average-commute-time-by-city-us-census-bureau/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 2, 2020
    Dataset provided by
    Kaggle
    Authors
    Ben_White
    License

    https://www.usa.gov/government-works/https://www.usa.gov/government-works/

    Area covered
    United States
    Description

    AGGREGATE TRAVEL TIME TO WORK (IN MINUTES) OF WORKERS BY TRAVEL TIME TO WORK Survey/Program: American Community Survey Universe: Workers 16 years and over who did not work at home TableID: B08135 Product: 2019: ACS 1-Year Estimates Detailed Tables

  12. T

    Vital Signs: Commute Time (by Place of Residence) – by city (2022)

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Jul 1, 2022
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    (2022). Vital Signs: Commute Time (by Place of Residence) – by city (2022) [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Commute-Time-by-Place-of-Residence-by-/jrhd-j9d4
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    application/rdfxml, xml, json, csv, tsv, application/rssxmlAvailable download formats
    Dataset updated
    Jul 1, 2022
    Description

    VITAL SIGNS INDICATOR
    Commute Time (T3)

    FULL MEASURE NAME
    Commute time by residential location

    LAST UPDATED
    January 2023

    DESCRIPTION
    Commute time refers to the average number of minutes a commuter spends traveling to work on a typical day. The dataset includes metropolitan area, county, city, and census tract tables by place of residence.

    DATA SOURCE
    U.S. Census Bureau: Decennial Census (1980-2000) - via MTC/ABAG Bay Area Census - http://www.bayareacensus.ca.gov/transportation.htm

    U.S. Census Bureau: American Community Survey - https://data.census.gov/
    2006-2021
    Form C08136
    Form C08536
    Form B08301
    Form B08301
    Form B08301

    CONTACT INFORMATION
    vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator)
    For the decennial Census datasets, breakdown of commute times was unavailable by mode; only overall data could be provided on a historical basis.

    For the American Community Survey (ACS) datasets, 1-year rolling average data was used for all metros, region and county geographic levels, while 5-year rolling average data was used for cities and tracts. This is due to the fact that more localized data is not included in the 1-year dataset across all Bay Area cities. Similarly, modal data is not available for every Bay Area city or census tract, even when the 5-year data is used for those localized geographies.

    Regional commute times were calculated by summing aggregate county travel times and dividing by the relevant population; similarly, modal commute times were calculated using aggregate times and dividing by the number of communities choosing that mode for the given geography.

    Census tract data is not available for tracts with insufficient numbers of residents. The metropolitan area comparison was performed for the nine-county San Francisco Bay Area in addition to the primary metropolitan statistical areas (MSAs) for the nine other major metropolitan areas.

  13. Main mode of commuting by commuting duration, distance (straight-line) from...

    • ouvert.canada.ca
    • www150.statcan.gc.ca
    • +1more
    csv, html, xml
    Updated Jan 17, 2023
    + more versions
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    Statistics Canada (2023). Main mode of commuting by commuting duration, distance (straight-line) from home to work and time leaving for work: Canada, provinces and territories, census divisions and census subdivisions [Dataset]. https://ouvert.canada.ca/data/dataset/3df80756-f5d8-494b-b12e-1aff019de1fe
    Explore at:
    xml, html, csvAvailable download formats
    Dataset updated
    Jan 17, 2023
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    Data on the main mode of commuting by commuting duration, distance (straight-line) from home to work and time leaving for work.

  14. Average daily travel time per capita in Italy 2002-2020

    • statista.com
    Updated Aug 31, 2023
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    Statista (2023). Average daily travel time per capita in Italy 2002-2020 [Dataset]. https://www.statista.com/statistics/745146/length-of-time-spent-for-commuting-purposes-per-capita-in-italy/
    Explore at:
    Dataset updated
    Aug 31, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Italy
    Description

    The average time spent traveling in Italy peaked at 67 minutes per capita in 2008. The lowest time was found in 2020 when Italians, on average, spent about 48 minutes per capita commuting, in part caused by the travel restrictions during the COVID-19 pandemic.

  15. Duration of daily commute in Indonesia 2024

    • statista.com
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    Statista, Duration of daily commute in Indonesia 2024 [Dataset]. https://www.statista.com/forecasts/1348192/duration-of-daily-commute-in-indonesia
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2024 - Jun 2024
    Area covered
    Indonesia
    Description

    When asked about "Duration of daily commute", ** percent of Indonesian respondents answer "15 to ** minutes". This online survey was conducted in 2024, among ***** consumers.As an element of Statista Consumer Insights, our Consumer Insights Global survey offers you up-to-date market research data from over ** countries and territories worldwide.

  16. Mode of Transportation (20), Average Commuting Duration, Commuting Duration...

    • open.canada.ca
    • datasets.ai
    • +1more
    xml
    Updated Feb 21, 2022
    + more versions
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    Statistics Canada (2022). Mode of Transportation (20), Average Commuting Duration, Commuting Duration (6),Time Leaving for Work (7), Sex (3) and Age Groups (11) for the Employed Labour Force Aged 15 Years and Over Having a Usual Place of Work or No fixed Workplace Address, in Private Households of Canada, Provinces, Territories and Census Divisions, 2011 National Household Survey [Dataset]. https://open.canada.ca/data/en/dataset/6d81de68-9e3d-4dcc-b7bd-2b1433441a7a
    Explore at:
    xmlAvailable download formats
    Dataset updated
    Feb 21, 2022
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    This table provides statistical information about people in Canada by their demographic, social and economic characteristics as well as provide information about the housing units in which they live.

  17. Average daily commute time of urban dwellers in India 2019

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Average daily commute time of urban dwellers in India 2019 [Dataset]. https://www.statista.com/statistics/1104025/india-urban-dwellers-average-daily-commute-time/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2019 - Jul 2019
    Area covered
    India
    Description

    On average, it took the respondents around ** minutes to travel about five to ten kilometers in the urban cities across India for work and education according to a survey. Walking was the most preferred mode of transportation by urban dwellers for their weekly needs, followed by personal motorbike in the south Asian country.

  18. d

    Ministry of Land, Infrastructure and Transport_Average Travel Time

    • data.go.kr
    json+xml
    Updated Jun 13, 2025
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    (2025). Ministry of Land, Infrastructure and Transport_Average Travel Time [Dataset]. https://www.data.go.kr/en/data/15142055/openapi.do
    Explore at:
    json+xmlAvailable download formats
    Dataset updated
    Jun 13, 2025
    License

    https://data.go.kr/ugs/selectPortalPolicyView.dohttps://data.go.kr/ugs/selectPortalPolicyView.do

    Description

    The average daily travel time is the average time that public transportation users spend moving during the day, and is an important indicator for evaluating the efficiency and user convenience of public transportation services. This data is used for traffic demand management, congestion relief, policy establishment for shortening travel times, adjustment of dispatch intervals, route optimization, etc., and also contributes to regional traffic congestion analysis and improvement of public transportation service quality. It is also actively used as basic data for urban transportation infrastructure planning and environmental improvement strategy establishment. The scope of provision is the average travel time for daily/monthly/annual travel.

  19. T

    Vital Signs: Commute Time (by Place of Residence) – Bay Area (2022)

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Jan 4, 2023
    + more versions
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    (2023). Vital Signs: Commute Time (by Place of Residence) – Bay Area (2022) [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Commute-Time-by-Place-of-Residence-Bay/jgx3-k2u8
    Explore at:
    csv, application/rssxml, xml, application/rdfxml, tsv, jsonAvailable download formats
    Dataset updated
    Jan 4, 2023
    Area covered
    San Francisco Bay Area
    Description

    VITAL SIGNS INDICATOR
    Commute Time (T3)

    FULL MEASURE NAME
    Commute time by residential location

    LAST UPDATED
    January 2023

    DESCRIPTION
    Commute time refers to the average number of minutes a commuter spends traveling to work on a typical day. The dataset includes metropolitan area, county, city, and census tract tables by place of residence.

    DATA SOURCE
    U.S. Census Bureau: Decennial Census (1980-2000) - via MTC/ABAG Bay Area Census - http://www.bayareacensus.ca.gov/transportation.htm

    U.S. Census Bureau: American Community Survey - https://data.census.gov/
    2006-2021
    Form C08136
    Form C08536
    Form B08301
    Form B08301
    Form B08301

    CONTACT INFORMATION
    vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator)
    For the decennial Census datasets, breakdown of commute times was unavailable by mode; only overall data could be provided on a historical basis.

    For the American Community Survey (ACS) datasets, 1-year rolling average data was used for all metros, region and county geographic levels, while 5-year rolling average data was used for cities and tracts. This is due to the fact that more localized data is not included in the 1-year dataset across all Bay Area cities. Similarly, modal data is not available for every Bay Area city or census tract, even when the 5-year data is used for those localized geographies.

    Regional commute times were calculated by summing aggregate county travel times and dividing by the relevant population; similarly, modal commute times were calculated using aggregate times and dividing by the number of communities choosing that mode for the given geography.

    Census tract data is not available for tracts with insufficient numbers of residents. The metropolitan area comparison was performed for the nine-county San Francisco Bay Area in addition to the primary metropolitan statistical areas (MSAs) for the nine other major metropolitan areas.

  20. Mobility; per person, modes of travel, purposes of travel and regions

    • cbs.nl
    • data.overheid.nl
    xml
    Updated Jul 4, 2024
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    Centraal Bureau voor de Statistiek (2024). Mobility; per person, modes of travel, purposes of travel and regions [Dataset]. https://www.cbs.nl/en-gb/figures/detail/84710ENG
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    xmlAvailable download formats
    Dataset updated
    Jul 4, 2024
    Dataset provided by
    Statistics Netherlands
    Authors
    Centraal Bureau voor de Statistiek
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2018 - 2023
    Area covered
    Netherlands
    Description

    This table contains information regarding the mobility of the residents of the Netherlands aged 6 or older in private households, so excluding residents of institutions and homes. The table contains per person per day /year an overview of the average number of trips, the average distance travelled and the average time travelled. These are regular trips on Dutch territory, including domestic holiday mobility. The distance travelled is based on stage information. Excluded in this table is mobility based on series of calls trips. The mobility behaviour is broken down by modes of travel, purposes of travel, population and region characteristics. The data used are retrieved from The Dutch National travel survey named Onderweg in Nederland (ODiN). Data available from: 2018

    Status of the figures: The figures in this table are final.

    Changes as of 4 July 2024: The figures for year 2023 are added.

    When will new figures be published? Figures for the 2024 research year will be published in mid-2025

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Statista (2025). Average daily commute length in the United States 2019 to 2024 [Dataset]. https://www.statista.com/statistics/1427497/workers-average-daily-commute-length-united-states/
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Average daily commute length in the United States 2019 to 2024

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Dataset updated
Jul 2, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Jan 2019 - Sep 2024
Area covered
United States
Description

According to the Statista Consumer Insights, for the period between October 2023 and September 2024, around of U.S. American workers spent an average of **** an hour or less commuting to work. In the period between 2019 and 2024, the share of workers commuting less than ** minutes dropped by ***** percentage points to ** percent, while the share of workers commuting over **** an hour decreased from ** to ** percent. Rise of hybrid work models The transformation in commute times coincides with a surge in hybrid work arrangements. By the second quarter of 2024, ** percent of U.S. workers reported adopting a hybrid work model, blending remote and on-site work. This shift, initially sparked by the COVID-19 pandemic, has reshaped how Americans balance their professional and personal lives, offering increased flexibility and potentially reducing overall commute times for many. Driving remains most common form of commuting Among those workers who continue to travel to their place of work, driving remained the most popular mode. Over ********** of U.S. Americans drove to work by car, truck or van in 2022 and an additional nearly **** percent used a carpool to get to their job. Public transportation, meanwhile, was only used by *** percent of workers.

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