The number of public transport passengers has been on a slow upward trend and is projected to reach 5.2 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 48 percent of the trips taken in 25 global cities in 2021, compared to the 40 percent of the trips it amounted to before the pandemic. This rise is expected to remain relatively stable, private cars representing a share of 47 percent of the intended mode of transport use after the pandemic. By contrast, the use of public transports dropped from 60 percent before the COVID-19 crisis to just about half the proportion in 2021.

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

Graph and download economic data for Public Transit Ridership (TRANSIT) from Jan 2000 to Dec 2024 about public, transportation, and USA.

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.

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

In Germany, the most passengers used buses and trains to get to their destinations, as well as getting on local public transport. Around 10.8 billion passengers used the former in 2023, around 7.5 percent more than in 2022. Local public transport accounted for the largest share, with around 10.7 billion passengers, covering around 99 percent of all scheduled services in Germany. Various public transport types are available. Since May 2023, the so called "Deutschland-Ticket", which translated to "Germany-ticket" is available and allows use of all public transport in all of Germany for 49 euros per month. The low cost of public transportation in combination with lifted corona rules led to an increase in passenger numbers on public transport. All aboard Public transportation choices among commuters depend on many factors. These range from availability (some German cities do not have trams, for example), ticket prices, safety while commuting, logistics and time concerns. In terms of regular long-distance transport with trains and buses in particular, significantly more travelers used the train. This was also true during the coronavirus (COVID-19) pandemic years, 2020 and 2021. Germany is, after all, the home of Deutsche Bahn. Daily commute Based on recent surveys, commuters use a variety of transportation modes to get to work, school and university. The most used of these is their own or a household car, followed by public transportation – an understandable choice for those living in cities. Some also hop on a bike.

Argentina Public Transport: Number of Passengers: Urban data was reported at 150,241.013 Person th in Dec 2024. This records a decrease from the previous number of 160,864.093 Person th for Nov 2024. Argentina Public Transport: Number of Passengers: Urban data is updated monthly, averaging 185,477.160 Person th from Jan 1993 (Median) to Dec 2024, with 384 observations. The data reached an all-time high of 224,065.145 Person th in Nov 2007 and a record low of 23,952.009 Person th in Apr 2020. Argentina Public Transport: Number of Passengers: Urban data remains active status in CEIC and is reported by National Institute of Statistics and Censuses. The data is categorized under Global Database’s Argentina – Table AR.TA002: Public and Automotor Transportation . [COVID-19-IMPACT]

The Transport Facts dashboard provides important top-level transport statistics at your fingertips.\r \r Categories include:\r \r * Population\r \r * Economy\r \r * Labour\r \r * Vehicles\r \r * Rail\r \r * Bus\r \r * Road\r \r * Safety\r \r * Domestic Freight\r \r * Shipping\r \r * Patronage\r \r * Travel Patterns\r \r * Aviation

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

Public transportation services provide residents and visitors with safe and dependable ways to move throughout Tempe to access jobs, medical care, community resources, and recreational opportunities. Every two years, the city of Tempe completes a survey of Tempe residents to gain insights into perceptions about public transit among both riders and non-riders along with bicycle usage, awareness of Tempe in Motion program and the Tempe Youth Free Transit Pass program.Data compares Tempe's transit satisfaction among transit users and in some cases non users with the city of Phoenix and Valley Metro. Data is not collected every year in some cases.This page provides data for the Transportation System Satisfaction performance measure. The performance measure dashboard is available at 3.29 Transit System Satisfaction.Additional InformationSource: Tempe, Phoenix, Valley MetroContact: Sue TaaffeContact E-Mail: sue_taaffe@tempe.govData Source Type: ExcelPreparation Method: Pdf reports reviewed online and data entered into ExcelPublish Frequency: Every Two YearsPublish Method: ManualData Dictionary

Norway Public Transport: Number of Passengers: Bus data was reported at 90,300.000 Person th in Mar 2020. This records a decrease from the previous number of 115,613.000 Person th for Dec 2019. Norway Public Transport: Number of Passengers: Bus data is updated quarterly, averaging 80,952.000 Person th from Mar 2005 (Median) to Mar 2020, with 61 observations. The data reached an all-time high of 115,613.000 Person th in Dec 2019 and a record low of 58,799.000 Person th in Sep 2006. Norway Public Transport: Number of Passengers: Bus data remains active status in CEIC and is reported by Statistics Norway. The data is categorized under Global Database’s Norway – Table NO.TA007: Number of Public Transport Passenger.

Representation of Rome's public transport in GTFS format. Scheduled service and real-time data.

In 2023, around 1.55 billion passengers used Berlin's public transport. This was an increase compared to 1.38 billion in 2022. The change in numbers in the years 2020 and 2021 was due to the coronavirus (COVID-19) pandemic.

Table 2.1S - Average Daily Public Transport Passenger Journeys by Public Transport Operator(English)

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.

This is the first in a planned series of releases of this data product to reflect changes in transit schedules and location of services. Please note that this dataset is not a new version of the original PTAI data. It is a completely new data product based on new methodology and source datasets.

The Public Transport Accessibility Indicators 2022 dataset This dataset offers public transport accessibility indicators aggregated by 2011 statistical geographies to a range of key services, namely: employment, general practices (GP), hospitals, supermarkets, primary schools, secondary schools, and urban centres. Accessibility indicators were estimated for all 41,729 LSOA/DZ in Great Britain. Origins are represented by LSOA/DZ population-weighted centroids based on the boundaries defined for the 2011 Census. LSOA’s centroids for England and Wales were produced by the Office for National Statistics (ONS) and manually downloaded from the UK Government open data portal (https://data.gov.uk/) on 2021-12-12 (version last updated on 2019-12-21). DZ centroids in Scotland are published by the Scottish Government and were manually downloaded from the UK Government’s open data portal (https://data.gov.uk/) (version last updated on 2021-03-26).

Access and Restrictions

Open Government Licence 3.0

Access to the Data

Public Transport Availability Indicators 2022 are available to download from the Zenodo repository

This dataset contain information about total number of passengers and public transport trips within cities by year, region, city and station