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.
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.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
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.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
A dataset exploring the commuting patterns of men and women in the UK, including regional breakdowns by mode of transport used and time taken to get to work.
This layer shows mean family size and mean commute time in Austin, Texas. This is shown by censustract and place boundaries. Tract data contains the most currently released American Community Survey (ACS) 5-year data for all tracts within Bastrop, Caldwell, Hays, Travis, and Williamson Counties in Texas. Place data contains the most recent ACS 1-year estimate for the City of Austin, Texas. Data contains estimates and margins of error.To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023 (Tract), 2023 (Place)ACS Table(s): S1101, S0801 Data downloaded from: Census Bureau's API for American Community Survey Date of API call: February 12, 2025National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.
This statistic provides a comparison of the average amount of time spent travelling to and from paid work or study by both men and women in OECD member countries as well as China, India and South Africa. As of 2016, the average man in China spent 56 minutes per day travelling for work and study while for women the average was 38 minutes.
The mid-year estimates provide faster indicators for key tables and include data for 12-month periods from July to June.
NTSMY0101: https://assets.publishing.service.gov.uk/media/67f628e932b0da5c2a09e1e0/ntsmy0101.ods">Trips, distance travelled and time taken: England, year ending June 2023 onwards (ODS, 7.64 KB)
NTSMY0303: https://assets.publishing.service.gov.uk/media/67f6294432b0da5c2a09e1e1/ntsmy0303.ods">Average number of trips, stages, miles and time spent travelling by mode: England, year ending June 2023 onwards (ODS, 15 KB)
NTSMY0403: https://assets.publishing.service.gov.uk/media/67f6295a90615dd92bc90d82/ntsmy0403.ods">Average number of trips, miles and time spent travelling by trip purpose: England, year ending June 2023 onwards (ODS, 12.8 KB)
NTSMY0409: https://assets.publishing.service.gov.uk/media/67f62973555773bbf109e1c5/ntsmy0409.ods">Average number of trips and distance travelled by purpose and main mode: England, year ending June 2023 onwards (ODS, 19 KB)
NTSMY0601: https://assets.publishing.service.gov.uk/media/67f62997555773bbf109e1c6/ntsmy0601.ods">Average number of trips, stages and distance travelled by sex, age and mode: England, year ending June 2023 onwards (ODS, 55.5 KB)
NTSMY0611: https://assets.publishing.service.gov.uk/media/67f629ae563cc9c84bacc3a0/ntsmy0611.ods">Average number of trips and distance travelled by sex, age and purpose: England, year ending June 2023 onwards (ODS, 39.4 KB)
NTSMY9903: https://assets.publishing.service.gov.uk/media/67f629c390615dd92bc90d83/ntsmy9903.ods">Average number of trips by main mode, region and rural-urban classification of residence: England, year ending June 2023 onwards (ODS, 19.7 KB)
NTSMY9904: https://assets.publishing.service.gov.uk/media/67f629dee3c60873d6c90d82/ntsmy9904.ods">Average distance travelled by mode, region and rural-urban classification of residence: England, year ending June 2023 onwards (ODS, 21.4 KB)
NTSMY0001: https://assets.publishing.service.gov.uk/media/67f62a0d563cc9c84bacc3a1/ntsmy0001.ods">Sample numbers for NTS mid-year estimates (ODS, 8.32 KB)
National Travel Survey statistics
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Email <a class="govuk-link" href="mailto:national.travelsurvey@dft.gov.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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 an overview of the average distance per trip and the average travel time per trip. 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.
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
Accessible Tables and Improved Quality
As part of the Analysis Function Reproducible Analytical Pipeline Strategy, processes to create all National Travel Survey (NTS) statistics tables have been improved to follow the principles of Reproducible Analytical Pipelines (RAP). This has resulted in improved efficiency and quality of NTS tables and therefore some historical estimates have seen very minor change, at least the fifth decimal place.
All NTS tables have also been redesigned in an accessible format where they can be used by as many people as possible, including people with an impaired vision, motor difficulties, cognitive impairments or learning disabilities and deafness or impaired hearing.
If you wish to provide feedback on these changes then please email national.travelsurvey@dft.gov.uk.
Revision to table NTS9919
On the 16th April 2025, the figures in table NTS9919 have been revised and recalculated to include only day 1 of the travel diary where short walks of less than a mile are recorded (from 2017 onwards), whereas previous versions included all days. This is to more accurately capture the proportion of trips which include short walks before a surface rail stage. This revision has resulted in fewer available breakdowns than previously published due to the smaller sample sizes.
NTS0303: https://assets.publishing.service.gov.uk/media/66ce0f118e33f28aae7e1f75/nts0303.ods">Average number of trips, stages, miles and time spent travelling by mode: England, 2002 onwards (ODS, 53.9 KB)
NTS0308: https://assets.publishing.service.gov.uk/media/66ce0f128e33f28aae7e1f76/nts0308.ods">Average number of trips and distance travelled by trip length and main mode; England, 2002 onwards (ODS, 191 KB)
NTS0312: https://assets.publishing.service.gov.uk/media/66ce0f12bc00d93a0c7e1f71/nts0312.ods">Walks of 20 minutes or more by age and frequency: England, 2002 onwards (ODS, 35.1 KB)
NTS0313: https://assets.publishing.service.gov.uk/media/66ce0f12bc00d93a0c7e1f72/nts0313.ods">Frequency of use of different transport modes: England, 2003 onwards (ODS, 27.1 KB)
NTS0412: https://assets.publishing.service.gov.uk/media/66ce0f1325c035a11941f653/nts0412.ods">Commuter trips and distance by employment status and main mode: England, 2002 onwards (ODS, 53.8 KB)
NTS0504: https://assets.publishing.service.gov.uk/media/66ce0f141aaf41b21139cf7d/nts0504.ods">Average number of trips by day of the week or month and purpose or main mode: England, 2002 onwards (ODS, 141 KB)
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In Great Britain, the longest average commuting time was on national rail trains with more than an hourlong journey, suggesting that trains are the preferred option for longer journeys for getting to work. Unsurprisingly, the shortest time was for walking, with the average commuting time being 15 minutes.
NTS0201_CA: https://assets.publishing.service.gov.uk/media/681b6fb73f1c73824ee3e537/nts0201_ca.ods">Full car driving licence holders by age, sex and combined authority of residence, aged 17 and over: England, 2002 onwards (ODS, 208 KB)
NTS0303_CA: https://assets.publishing.service.gov.uk/media/681b717ee26cd2f713d8703e/nts0303_ca.ods">Average number of trips, stages, miles and time spent travelling by mode and combined authority of residence: England, 2002 onwards (ODS, 453 KB)
NTS0308_CA: https://assets.publishing.service.gov.uk/media/681b71aa43d6699b3c1d29ce/nts0308_ca.ods">Average number of trips and average distance travelled by trip length, mode and combined authority of residence: England, 2002 onwards (ODS, 553 KB)
NTS0403_CA: https://assets.publishing.service.gov.uk/media/681b71cc3f1c73824ee3e53e/nts0403_ca.ods">Average number of trips, miles and time spent travelling by trip purpose and combined authority of residence: England, 2002 onwards (ODS, 467 KB)
NTS0409_CA: https://assets.publishing.service.gov.uk/media/681b71499ef97b58cce3e52e/nts0409_ca.ods">Average number of trips and distance travelled by purpose, main mode and combined authority of residence: England, 2002 onwards (ODS, 315 KB)
NTS0601_CA: https://assets.publishing.service.gov.uk/media/681b71f6275cb67b18d87033/nts0601_ca.ods">Average number of trips, stages and distance travelled by sex, age, mode and combined authority of residence: England, 2002 onwards (ODS, 2.05 MB)
National Travel Survey statistics
Email mailto:national.travelsurvey@dft.gov.uk">national.travelsurvey@dft.gov.uk
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This table contains information regarding the mobility of the residents of the Netherlands aged 6 or older in private households, i.e. excluding institutional residents. The mobility behaviour is expressed in the average number of stages per person per day and the average distance travelled per stage. The table contains only stages on Dutch territory, excluding mobility based on series of calls trips and domestic holiday mobility.
The mobility behaviour in stages and the average distance per stage are broken down by travel purpose, mode of travel, sex and age.
Margins of the values (trend estimates) are available in the form of the lower and upper limits of the 95% confidence interval.
Over the years, the research design of the successive mobility surveys has undergone various changes. With time series modeling, these have been corrected as far as possible. The figures of the resulting trend series have therefore been made sequentially comparable between the years. The figures have been calculated with data from four successive Dutch national travel surveys: the Onderzoek Verplaatsingsgedrag (OVG) - for the trend series, the years 1999 to 2003 were used; from the Mobiliteitsonderzoek Nederland (MON)- the years 2004 to 2009 were used, next, from the Onderzoek Verplaatsingen in Nederland (OViN), the years 2010 to 2017 were used; and from the newest mobility survey, which started in 2018 and is still ongoing, Onderweg in Nederland(ODiN) the years 2018 to 2023 were added to the mobility trend.
Data available from: 1999 to 2023 inclusive.
Status of the figures: The figures in this table are provisional.
Changes as of 25 September 2024: The provisional figures from 1999-2022 were re-estimated and extended to include figures from the year 2023, in addition, data on average travel time per stage were added.
When will new figures be published? The trend series is supplemented and recalculated once every 1 to 2 years.
This table replaces table 383-0009. Data in this table are not fully comparable with those previously published. Data by industry included in this table corresponds to S and M levels as well as some complementary details at L and W levels of aggregation. For concepts, methods, sources and details concerning the industry classification system, consult the following link http://www.statcan.gc.ca/imdb-bmdi/5103-eng.htm. Provincial and territorial data are available from 1997. Statistics are available from 1999, year of the creation of the Territory of Nunavut. The estimate of the total number of jobs covers two main categories: paid workers jobs and self-employed jobs. These are jobs held by workers whose base pay is calculated at an hourly rate, or on the basis of a fixed amount for a period of at least a week, or in the form of sales commission, piece rates, mileage allowances and so on. Includes workers drawing pay for services rendered or for paid absences and for whom the employer must complete a T-4 Supplementary form from Canada Revenue Agency. These are jobs held by unincorporated working owners, self-employed persons who do not have a business and persons working in a family business without pay. The number of hours worked in all jobs is the annual average for all jobs times the annual average hours worked in all jobs. According to the retained definition, hours worked means the total number of hours that a person spends working, whether paid or not. In general, this includes regular and overtime hours, breaks, travel time, training in the workplace and time lost in brief work stoppages where workers remain at their posts. On the other hand, time lost due to strikes, lockouts, annual vacation, public holidays, sick leave, maternity leave or leave for personal needs are not included in total hours worked. The number of hours worked for paid workers jobs is the average number of paid workers during the year times the annual average number of hours worked in paid jobs. The number of hours worked for self-employed jobs is the average number of paid or unpaid self-employed workers during the year times the annual average number of hours worked in paid or unpaid self-employed jobs. Self-employed jobs are jobs held by unincorporated working owners, self-employed persons who do not have a business and persons working in a family business without pay. This is the annual average of hours worked for the respective job category mentioned in the variable title. The total compensation for all jobs consists of all payments in cash or in kind made by domestic producers to workers for services rendered. It includes labour income for paid workers and imputed labour income for self-employed workers. Often referred to as labour income, it includes two components— wages and salaries, and supplementary labour income. The wages and salaries include all types of regular earnings, special payments, stock options and bonus payments. Supplementary labour income comprises employers' contributions or payments to a variety of paid workers benefit plans for the health and financial well-being of paid workers and their families. Self-employed income consists of an imputed labour income for self-employed workers. The ratio between total compensation paid for all jobs, and the total number of jobs. The ratio between total compensation for all jobs, and the number of hours worked. The term 'hourly compensation' is often used to refer to the total compensation per hour worked. The ratio of labour income paid to paid workers to the number of hours worked. Total economic activities that have been realized within the country. This combines the North American Industry Classification System (NAICS) codes 11-91. This combines the North American Industry Classification System (NAICS) codes 111, 112. This combines the North American Industry Classification System (NAICS) code 111 excluding 1114. This combines the North American Industry Classification System (NAICS) codes 1151, 1152. This combines the North American Industry Classification System (NAICS) codes 212393, 212394, 212395, 212397, 212398. This combines the North American Industry Classification System (NAICS) codes 213111, 213118. This combines the North American Industry Classification System (NAICS) codes 213117, 213119. This combines the North American Industry Classification System (NAICS) codes 2212, 2213. Special hybrid: corresponds to sections of the North American Industry Classification System (NAICS) code 23. This combines the North American Industry Classification System (NAICS) codes 3112, 3118, 3119. This combines the North American Industry Classification System (NAICS) codes 31213, 31214. This combines the North American Industry Classification System (NAICS) codes 313, 314. This combines the North American Industry Classification System (NAICS) codes 315, 316. This combines the North American Industry Classification System (NAICS) code 324 excluding 32411. This combines the North American Industry Classification System (NAICS) codes 3255, 3256, 3259. This combines the North American Industry Classification System (NAICS) code 327 excluding 3273. This combines the North American Industry Classification System (NAICS) codes 3322, 3329. This combines the North American Industry Classification System (NAICS) codes 3332, 3333. This combines the North American Industry Classification System (NAICS) codes 3343, 3345, 3346. This combines the North American Industry Classification System (NAICS) codes 485, 487. This combines the North American Industry Classification System (NAICS) codes 4852, 4854, 4855, 4859, 487. This combines the North American Industry Classification System (NAICS) codes 4861, 4869. This combines the North American Industry Classification System (NAICS) codes 491, 492. This combines the North American Industry Classification System (NAICS) codes 51112, 51113, 51114, 51119. This combines the North American Industry Classification System (NAICS) codes 51211, 51212, 51219. This combines the North American Industry Classification System (NAICS) codes 521, 5221. This combines the North American Industry Classification System (NAICS) codes 52211, 52219. This combines the North American Industry Classification System (NAICS) codes 523, 526. Corresponds to code 53 of the North American Industry Classification System (NAICS). However, it differs from the Input-Output code BS53 since it excludes the industry of owner-occupied dwellings ( BS5311A). This combines the North American Industry Classification System (NAICS) codes 5312, 5313. This combines the North American Industry Classification System (NAICS) code 532 excluding 5321. This combines the North American Industry Classification System (NAICS) codes 5411, 5412. This combines the North American Industry Classification System (NAICS) codes 5414, 5416, 5417, 5419. This combines the North American Industry Classification System (NAICS) codes 5612, 5619. his combines the North American Industry Classification System (NAICS) code 61 excluding 6113. This combines the North American Industry Classification System (NAICS) codes 6114-6117. This combines the North American Industry Classification System (NAICS) code 62 excluding 624. This combines the North American Industry Classification System (NAICS) codes 6213, 6214, 6215, 6216, 6219. This combines the North American Industry Classification System (NAICS) codes 711, 712. This combines the North American Industry Classification System (NAICS) codes 7131, 7139. This combines the North American Industry Classification System (NAICS) codes 7212, 7213. This combines the North American Industry Classification System (NAICS) codes 8112, 8113, 8114. This combines the North American Industry Classification System (NAICS) codes 812, 814. This combines the North American Industry Classification System (NAICS) codes 8121, 8129. This combines the North American Industry Classification System (NAICS) code 813 excluding 8131. This combines the North American Industry Classification System (NAICS) code 911 excluding 9111. This combines the North American Industry Classification System (NAICS) codes 913, 914. Statistics are available until 1998 inclusively; starting in 1999, data for Northwest Territories and Nunavut are presented separately. This combines the North American Industry Classification System (NAICS) code 112 excluding 1125. Starting in 2014, the crop production industry incorporates the activities related to cannabis. Starting in 2014, the miscellaneous store retailers industry incorporates the activities related to cannabis. The ratio of wages and salaries paid to paid workers to their number of hours worked.
http://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitationshttp://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitations
This metadata refers to the vector dataset presenting, for NUTS3 regions, the average travel time to the nearest hospital in 2020. The data has been developed by Eurostat to measure how easily basic services can be reached by the resident population, based on spatial analyses of the location of healthcare facilities, combined with the road network. (note this could have been across a national border).
The data is included in the European Climate and Health Observatory: https://climate-adapt.eea.europa.eu/observatory. The European Climate and Health Observatory platform provides easy access to a wide range of relevant publications, tools, websites and other resources related to climate change and human health.
Our statistical practice is regulated by the Office for Statistics Regulation (OSR). OSR sets the standards of trustworthiness, quality and value in the Code of Practice for Statistics that all producers of official statistics should adhere to. You are welcome to contact us directly by emailing transport.statistics@dft.gov.uk with any comments about how we meet these standards.
These statistics on transport use are published monthly.
For each day, the Department for Transport (DfT) produces statistics on domestic transport:
The associated methodology notes set out information on the data sources and methodology used to generate these headline measures.
From September 2023, these statistics include a second rail usage time series which excludes Elizabeth Line service (and other relevant services that have been replaced by the Elizabeth line) from both the travel week and its equivalent baseline week in 2019. This allows for a more meaningful like-for-like comparison of rail demand across the period because the effects of the Elizabeth Line on rail demand are removed. More information can be found in the methodology document.
The table below provides the reference of regular statistics collections published by DfT on these topics, with their last and upcoming publication dates.
Mode | Publication and link | Latest period covered and next publication |
---|---|---|
Road traffic | Road traffic statistics | Full annual data up to December 2024 was published in June 2025. Quarterly data up to March 2025 was published June 2025. |
Rail usage | The Office of Rail and Road (ORR) publishes a range of statistics including passenger and freight rail performance and usage. Statistics are available at the https://dataportal.orr.gov.uk/" class="govuk-link">ORR website. Statistics for rail passenger numbers and crowding on weekdays in major cities in England and Wales are published by DfT. |
ORR’s latest quarterly rail usage statistics, covering January to March 2025, was published in June 2025. DfT’s most recent annual passenger numbers and crowding statistics for 2023 were published in September 2024. |
Bus usage | Bus statistics | The most recent annual publication covered the year ending March 2024. The most recent quarterly publication covered January to March 2025. |
TfL tube and bus usage | Data on buses is covered by the section above. https://tfl.gov.uk/status-updates/busiest-times-to-travel" class="govuk-link">Station level business data is available. | |
Cycling usage | Walking and cycling statistics, England | 2023 calendar year published in August 2024. |
Cross Modal and journey by purpose | National Travel Survey | 2023 calendar year data published in August 2024. |
Statistics on concessionary travel in England for the financial year ending 2011, and forecasts for the year ending 2012.
The data are derived from the department’s survey of Travel Concession Authorities and includes information relating to concessionary travel reimbursement and discretionary enhancements to the English National Concessionary Travel Scheme.
In the financial year ending 2012:
Information on concessionary travel statistics, including the pre-release access list and a copy of the survey questionnaire related technical documentation
Bus statistics
Email mailto:bus.statistics@dft.gov.uk">bus.statistics@dft.gov.uk
Media enquiries 0300 7777 878
The FDOT Source Book is the Department’s annual multimodal performance report. It is the trusted source of transportation system safety, mobility, infrastructure, and accountability trends. Data is available at a segment level for 2017 through 2021. Detailed Description:The FDOT Source Book (Source Book) is the Department’s annual multimodal performance report. The Source Book is the Department's trusted source of transportation system Safety, Mobility performance, and Innovation trends. This feature service provides Source Book auto and truck mobility performance measures for the State Highway System (SHS), Strategic Intermodal System (SIS) and National Highway System (NHS) at a segment level for calendar year for 2017 through 2021.Please see the Data Dictionary for more information on data fields. Methodology:Please refer to The FDOT Source Book Methodology report for a detailed description of the methodology utilized to calculate each performance measure. Performance Measures:· Autoo Average Travel Speedo Vehicle Hours of Delayo Person Hours of Delayo Percent Miles by Congestion Levelo Average Speed versus Speed limito Planning Time Indexo Vehicle per Lane Mile· Trucko Combination Truck Average Speedo Combination Truck Hours of Delayo Combination Truck Planning Time Index Reporting Periods vary by Performance Measure, but Include:· Peak Hour· Peak Period· Daily· Yearly Data Sources used in Performance Measure Calculations:· FDOT Transportation Data and Analytics Office:o Traffic Characteristics Inventoryo Roadway Characteristics Inventory (RCI) Feature 147 (Strategic Intermodal System) and Feature 311 (Speed Limits)· HERE Technologies – Travel Time Data· United States Department of Transportation – National Household Travel Survey 2009 Florida Add-On Data Coverage: StatewideData Time Period: 2017 - 2021 Date of Publication: January 2023Update Frequency: Annually Additional Resources:The FDOT Source Book Application Point of Contact:Dana Reiding, ManagerForecasting and Trends OfficeFlorida Department of TransportationDana.Reiding@dot.state.fl.us605 Suwannee Street, Tallahassee, Florida 32399850-414-4719 Credits: FDOT Transportation Data and Analytics Office
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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.