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.

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.

When asked about "Duration of daily commute", ** percent of U.S. respondents answer ******************. This online survey was conducted in 2025, among 13,687 consumers.

Graph and download economic data for Mean Commuting Time for Workers (5-year estimate) in Los Angeles County, CA (B080ACS006037) from 2009 to 2023 about commuting time; Los Angeles County, CA; Los Angeles; average; workers; CA; 5-year; and USA.

Graph and download economic data for Mean Commuting Time for Workers (5-year estimate) in Fairfield County, CT (B080ACS009001) from 2009 to 2021 about Fairfield County, CT; Bridgeport; commuting time; CT; workers; average; 5-year; and USA.

The Location Affordability Index (LAI) estimates the percentage of a family’s income dedicated to the combined cost of housing and transportation in a given location. Because what is “affordable” is different for everyone, users can choose among a diverse set of family profiles—which vary by household income, size, and number of commuters—and see the affordability landscape for each in a given neighborhood, city, or region. The Location Affordability Index (LAI) estimates three dependent variables of transportation behavior (auto ownership, auto use, and transit use) as functions of 14 independent variables (median income, per capita income, average household size, average commuters per household, residential density, gross density, block density, intersection density, transit connectivity, transit frequency of service, transit access shed, employment access, job diversity, and average commute distance). To hone in on the built environment’s influence on transportation costs, the independent household variables (income, household size, and commuters per household) are set at fixed values to control for any variation they might cause. The LAI also estimates two dependent variables of housing costs (Selected Monthly Owner Costs and Gross Rent) as functions of 16 independent variables: regional median selected monthly owner costs and regional median gross rent in addition to the 14 variables used in the transportation model.

To learn more about the Location Affordability Index (v.1.0) visit: https://www.locationaffordability.info/LAPMethods.pdf, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_Location Affordability Indev v.1.0. Date of Coverage: 2005-2009 https://www.locationaffordability.info/LAPMethodsV2.pdf

Remote Work Statistics: The future is here we say, as technology made sure to let employees spread around the globe to work remotely. Just before the pandemic people commuting to offices daily shifted to completely mobile work opportunities. Market reports of distance work state that the future of remote work will be adopted by many companies soon as employees focus on such job opportunities only. These Remote Work Statistics are written from various aspects that need to be taken into consideration while setting policies for mobile work. Editor’s Choice Mobile workers with communicative employers are 5X more productive and 3X less feel burned out. 25% of remote employees are planning to change their locations for a better lifestyle. Around 55% of Americans believe their work can be performed remotely in their industry. Remote work statistics say that, in May 2021, remote work job postings on LinkedIn increased by 350%. Remote work Statistics state that in the year 2022, the remote workplace market was valued at $20.1 billion, and it is projected to reach 58.5 billion by the year 2027 at a CAGR of 23.8%. 59% of distance employees said, their office is functional in 2 to 5 various times zones. For every mobile work employee companies save around $22K every month, on the other hand, employees save on average $4000 every year due to a reduction in commute. In the upcoming years, employers are planning to spend more on remote work tools as well as virtual manager training. 16% of people say that they are worried about their company not allowing mobile work once the pandemic ends. On average, women are more like to work remotely than men as stated by Remote Work Statistics.