The number of public transport passengers has been on a slow upward trend and is projected to reach *** billion users by 2029. This upward trend was interrupted between 2020 and 2022, due to the COVID-19 pandemic, when user numbers dropped significantly and then began recovering to the pre-pandemic levels.

DESCRIPTION This table contains data on the percent of residents aged 16 years and older mode of transportation to work for ...

SUMMARY This table contains data on the percent of residents aged 16 years and older mode of transportation to work for California, its regions, counties, cities/towns, and census tracts. Data is from the U.S. Census Bureau, Decennial Census and American Community Survey. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. Commute trips to work represent 19% of travel miles in the United States. The predominant mode – the automobile - offers extraordinary personal mobility and independence, but it is also associated with health hazards, such as air pollution, motor vehicle crashes, pedestrian injuries and fatalities, and sedentary lifestyles. Automobile commuting has been linked to stress-related health problems. Active modes of transport – bicycling and walking alone and in combination with public transit – offer opportunities for physical activity, which is associated with lowering rates of heart disease and stroke, diabetes, colon and breast cancer, dementia and depression. Risk of injury and death in collisions are higher in urban areas with more concentrated vehicle and pedestrian activity. Bus and rail passengers have a lower risk of injury in collisions than motorcyclists, pedestrians, and bicyclists. Minority communities bear a disproportionate share of pedestrian-car fatalities; Native American male pedestrians experience four times the death rate Whites or Asian pedestrians, and African-Americans and Latinos experience twice the rate as Whites or Asians. More information about the data table and a data dictionary can be found in the About/Attachments section.

ind_id - Indicator ID ind_definition - Definition of indicator in plain language reportyear - Year that the indicator was reported race_eth_code - numeric code for a race/ethnicity group race_eth_name - Name of race/ethnic group geotype - Type of geographic unit geotypevalue - Value of geographic unit geoname - Name of a geographic unit county_name - Name of county that geotype is in county_fips - FIPS code of the county that geotype is in region_name - MPO-based region name; see MPO_County list tab region_code - MPO-based region code; see MPO_County list tab mode - Mode of transportation short name mode_name - Mode of transportation long name pop_total - denominator pop_mode - numerator percent - Percent of Residents Mode of Transportation to Work,
Population Aged 16 Years and Older LL_95CI_percent - The lower limit of 95% confidence interval UL_95CI_percent - The lower limit of 95% confidence interval percent_se - Standard error of the percent mode of transportation percent_rse - Relative standard error (se/value) expressed as a percent CA_decile - California decile CA_RR - Rate ratio to California rate version - Date/time stamp of a version of data

Private car use has climbed up to ** percent of the trips taken in ** global cities in 2021, compared to the ** percent of the trips it amounted to before the pandemic. This rise is expected to remain relatively stable, private cars representing a share of ** percent of the intended mode of transport use after the pandemic. By contrast, the use of public transports dropped from ** percent before the COVID-19 crisis to just about half the proportion in 2021.

Graph and download economic data for Public Transit Ridership (TRANSITD11) from Jan 2000 to Aug 2025 about public, transportation, and USA.

Dataset from Land Transport Authority. For more information, visit https://data.gov.sg/datasets/d_75248cf2fbf340de6a746dc91ec9223c/view

In 2021, almost ** percent of public transportation users in France stated that they use the urban bus services regularly. During the same year, ** percent of respondents said that they travel by metro on a regular basis.

In the fiscal year 2023, Japan's public transport passenger volume increased to 27.58 billion trips. Japan is home to the world’s busiest station, Shinjuku, that handles more than three million passengers per day on average. Shinjuku, which is one of many stations located in or around Tokyo that exceed the one million daily passenger throughput landmark, is only one of the many examples of Japan’s incredible infrastructure. Such logistical feats are made possible by a highly developed public transport system that is spread across Japan’s urban areas. Trains are efficient mass transportation vehicles Japan’s domestic transportation handles tens of billions of passengers every year. The vast majority of the passenger volume is carried via domestic railway transportation. Tokyo alone has over 50 operating railway lines. Trains, dubbed Shinkansen (or bullet trains), also place first in long-distance domestic travel, transporting hundreds of millions of passengers, mostly between highly urbanized areas such as Tokyo, Nagoya, and Osaka. Ships transport goods while airplanes carry people As an island nation, Japan relies on ships and airplanes to move people and goods inside and outside its borders. While most of the international shipment volume happens via maritime transportation, the vast majority of individuals traveling inbound and outbound to Japan use airplanes. ANA and JAL are the two major players in Japan’s aviation industry. The two companies are very dominant in domestic travel and are also responsible for a large share of inbound traveler transportation, carrying tens of millions of passengers per year.

This dataset describes the public transport networks of 25 cities across the world in multiple easy-to-use data formats. These data formats include network edge lists, temporal network event lists, SQLite databases, GeoJSON files, and General Transit Feed Specification (GTFS) compatible ZIP-files.

The source data for creating these networks has been published by public transport agencies according to the GTFS data format. To produce the network data extracts for each city, the original data have been curated for errors, filtered spatially and temporally and augmented with walking distances between public transport stops using data from OpenStreetMap.

Cities included in this dataset version: Adelaide, Belfast, Berlin, Bordeaux, Brisbane, Canberra, Detroit, Dublin, Grenoble, Helsinki, Kuopio, Lisbon, Luxembourg, Melbourne, Nantes, Palermo, Paris, Prague, Rennes, Rome, Sydney, Toulouse, Turku, Venice, and Winnipeg.

Contrary to the version 1.0 of this data set, this version (1.2) does not include the cities of Antofagasta and Athens, for which non-commercial usage of the data is not allowed.

Contrary to previous versions of the data set (1.0 and 1.2), in this version (1.2) the temporal filtering of the data has been slightly adapted, so that the daily and weekly data extracts cover all trips departing between from 03 AM on Monday to 03 AM on Tuesday (daily extract) or 03 AM of the Monday next week (weekly extract). Additionally, a temporal network extract covering a full week of operations has been added for each city.

Documentation of the data can be found in the Data Descriptor article published in Scientific Data: http://doi.org/10.1038/sdata.2018.89 When using this dataset, please cite also the above-mentioned paper.

This data view shows the proximity to public transportation, and modal share of commuters by metropolitan city.

Bulletin presenting latest annual data for road-based public transport in Great Britain. Contains information for local buses, non-local buses and coaches, light rail, trams and metro systems. Source agency: Transport Designation: National Statistics Language: English Alternative title: Public Transport Statistics Bulletin

Proportion of population that has convenient access to public transport, population count by location, gender, age, income after tax, etc., 2023, in support of the Sustainable Development Goals - Indicator 11.2.1 and the Canadian Indicator Framework - Indicator 11.4.1.

As of September 2023, the number of full-size zero-emission transit buses (ZEBs) placed in operational service and actively running in service in the United States amounted to 6147 units, representing an increase of more than 11 percent from the previous year. California remained the state with the highest number of active ZEBs, with 1,946 units, followed by New York with 742 units.

According to a survey in 2021, around 60 percent of respondents in France stated that they use public transportation regularly. This represented a drop of 13 percentage points compared to 2019, caused by the COVID-19 pandemic.

Bulletin presenting statistics on the income/expenditure of local bus operators.

Source agency: Transport

Designation: National Statistics

Language: English

Alternative title: Public Transport Statistics Bulletin Supplement

This dataset lists the number of public transit stops per United States ZIP code tabulation area (ZCTA) based on data from the National Transit Map (NTM). Each observation represents the count and density of transit stops within a ZCTA, as voluntarily reported to NTM by one of 270 regional transit agencies choosing to participate between 2016 and 2018.A curated version of this data is available through ICPSR at https://www.icpsr.umich.edu/web/ICPSR/studies/38605/versions/V1

Operator contact details and location facilities for train stations, ferry wharves and bus interchanges in CSV format

Graph and download economic data for Consumer Price Index for All Urban Consumers: Public Transportation in U.S. City Average (CUUR0000SETG) from Mar 1935 to Sep 2025 about public, transportation, urban, consumer, CPI, inflation, price index, indexes, price, and USA.