During the 2023 fiscal year, the number of passengers transported by the Los Angeles County Metropolitan Transportation Authority (LACMTA) network amounted to some *** million, a year-over-year increase of around *** percent, after figures plummeted by ** percent amid the COVID-19 pandemic in 2021.

During the 2023 fiscal year, the operating revenue of the Los Angeles County Metropolitan Transportation Authority (LACMTA) amounted to approximately ***** million U.S. dollars, a significant year-over-year increase of a hundred percent post the COVID-19 pandemic.

Graph and download economic data for All Employees: Transportation and Utilities: Transportation, Warehousing, and Utilities in Los Angeles-Long Beach-Glendale, CA (MD) (SMU06310844300000001SA) from Jan 1990 to Aug 2025 about infrastructure, warehousing, utilities, Los Angeles, transportation, CA, employment, and USA.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Private Transportation in Los Angeles-Riverside-Orange County, CA (CMSA) (DISCONTINUED) (CUUSA421SAT1) from H1 1984 to H2 2017 about Los Angeles, transportation, urban, CA, consumer, CPI, private, inflation, price index, indexes, price, and USA.

In 1994, the Labor/Community Strategy Center and other Los Angeles County community organizations and local residents brought a Title VI civil rights class action against the County's Metropolitan Transit Authority (LA Metro), charging the agency with unlawfully discriminating against inner-city and transit-dependent bus riders in its allocation of public transportation resources. The landmark suit led to a consent decree in 1996. The coalition of transit justice advocates utilized the legal system over several years to challenge agency policies with the goal of having LA Metro treat its transit-dependent low-income bus riders of color equitably. This white paper examines the research question: to what extent do the arguments made in the legal case that led to the 1996 consent decree continue to remain in the post-decree era (2010-2020)? Using a mixed-method approach that draws on legal research, semi-structured interviews, and quantitative indicators, we conclude that many arguments made in the case that led to the consent decree remain salient concerns for advancing transit justice in Los Angeles. We recommend transit agencies work to recognize and address the persistence of systemic racial disparities in transit planning and service.

This is a GTFS feed with data for Los Angeles County Metropolitan Transportation Authority (LA Metro) with the Onestop ID of "f-9q5-metro~losangeles". There are 96 versions of this feed.

Graph and download economic data for All Employees: Transportation and Utilities: Transportation and Warehousing in Los Angeles-Long Beach-Anaheim, CA (MSA) (SMU06310804340008901A) from 1990 to 2024 about warehousing, Los Angeles, transportation, CA, employment, and USA.

This is a GTFS feed with data for Los Angeles County Metropolitan Transportation Authority (LA Metro) with the Onestop ID of "f-9q5-metro~losangeles~rail". There are over 100 versions of this feed.

If you want to see the raw data, go to https://bikeshare.metro.net/about/data/

"Metro Bike Share is a bicycle sharing system in the Los Angeles, California metropolitan area. The service was launched on July 7, 2016. It is administered by the Los Angeles County Metropolitan Transportation Authority (Metro) and is operated by Bicycle Transit Systems.The system uses a fleet of about 1,400 bikes and includes 93 stations in Downtown Los Angeles, Venice, and the Port of Los Angeles" (Cited from Wikipedia https://en.wikipedia.org/wiki/Metro_Bike_Share).

Added data item "taxicab distane" is the taxicab distance between two locations. More information about how it has been calculated, see https://en.wikipedia.org/wiki/Taxicab_geometry .

The data from 2016 quater3 to 2021 quater3 has been combined and cleaned, using the following processes:

• Combining the quaterly data sets into one
• Converting all time units to be consistent, as minutes
• Converting date formats to be consistent,
• Any trips that exceeded 8 hours have been excluded from data analysis, with the assumption that >8hours trips are humanly impossible and/or these riders are not in the customer groups that we wish to analyse
• Trips with plan_duration values 999,150 and blank are excluded, as these values are assumed to be used when testing by staffs.
• Pass type inconsistences, Flex Pass is assumed to be similar to Annual Pass (based on plan_duration), hence any mention of Flex Pass in the datasets have been changed to Annual for easier future analysis. Some Walk-up passholder_type was inconsistent with its duration, such as 1, and it should be 0. Then some passholder_type duration with 1 were changed from Walk-up to One Day Pass.
• According to research, it was discovered that station “3000” are Virtual Stations that are inputted by staff when transporting or operating these bikes. Thus, any trips with “3000” as start_station or end_station are excluded.
• Some bikes were modified from standard to smart, so it might show with different bike type during different periods with same bike_id. They have been put into a new bike type category which is "standard/smart"

The modified bikes data set is to demostrate which bikes had been modified.

This dataset contains the information for the transit lines in Los Angeles, California. The file contains left and right alignments for five Metro lines to include: the Red and Purple Line, the Gold Line, the Green Line, the Expo Line, the Blue Line. The alignments were created from coordinate points extracted from the Record Drawing. The Record Drawings included spiral curve, circle curve, and alignment data. The Record Drawings were created at various time from 11/1985 to 04/1999. Only tangent lines and circular curve data were used to create the alignments. Spiral data and crossover data were estimated and do not reflect the actual curvature of the tracks.

This layer contains the metro bus lines in the City of Los Angeles.Download as SpreadsheetDownload as KMLDownload as Shapefile

Bike Share data from LA Metro, pulled from https://bikeshare.metro.net/about/data/

Locations where the Los Angeles Department of Transportation has collected traffic information.

Financial overview and grant giving statistics of Los Angeles Transportation Club

This dataset contains the information for the transit line stations in Los Angeles, California. The file contains the stopping stations for five Metro lines to include: the Red and Purple Line, the Gold Line, the Green Line, the Expo Line, the Blue Line. The alignments were created from coordinate points extracted from the Record Drawing. The Record Drawings included spiral curve, circle curve, and alignment data. The Record Drawings were created at various time from 11/1985 to 04/1999. Only tangent lines and circular curve data were used to create the alignments. Spiral data and crossover data were estimated and do not reflect the actual curvature of the tracks.

Content

Bike Share data from LA Metro, pulled from https://bikeshare.metro.net/about/data/

Context

This is a dataset hosted by the city of Los Angeles. The organization has an open data platform found here and they update their information according the amount of data that is brought in. Explore Los Angeles's Data using Kaggle and all of the data sources available through the city of Los Angeles organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.

Cover photo by Andrew Ruiz on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

Graph and download economic data for All Employees: Trade, Transportation, and Utilities in Los Angeles-Long Beach-Santa Ana, CA (MSA) (DISCONTINUED) (LOSA106TRAD) from Jan 1990 to Dec 2014 about utilities, Los Angeles, transportation, trade, CA, employment, and USA.

This research project examines the link between job access and stop/station level transit ridership. Job access, following recent literature, is measured as the number of jobs that can be reached within a 30-minute transit travel time, including transfers and walk time to access jobs once exiting a transit station. Cumulative opportunity job access measures of this sort – i.e. the number of jobs that can be reached within 30 minutes – have become common in the recent access literature, and those measures have often focused on access via transit. Yet there have been few studies that examine the link between transit job access and transit ridership, and of those none that examine the link at a station or stop level. We use station and stop level ridership data for the Los Angeles Metro bus and rail system and the BART rail system in the San Francisco Bay Area. We calculate transit job access as jobs that can be reached within 30 minutes, using the Remix software tool. Regression analysis of 1,000 randomly selected Los Angeles bus stops reveals a robust relationship between stop-level ridership and job access. The association between transit job access and bus stop ridership (embarkations and disembarkations at the stop) is statistically significant. Converting that association into an elasticity, if the number of jobs accessible within 30-minutes were to increase by 1 percent, on average stop-level ridership would increase between 0.6 to 0.8 percent. The same association, with similar magnitudes, exists for Metro rail stations and BART rail stations, but due the smaller sample sizes, those relationships are not statistically significant when control variables are added to the regression. Our findings show that job access is closely related to ridership at the bus stop level, suggesting transit agencies can increase job access by increasing bus frequency, reducing transfers, siting lines that connect job concentrations to residents, and by improving bus stop/rail station access/egress times.

The Transportation Index was developed to compare conditions of one place to another. The Index standardizes transportation demand, transportation infrastructure, and injury variables, and then averages them together, yielding a score on a scale of 0-100. Higher values indicate worse transportation conditions. Variables include: percent walk and bike to work (2019 5-Year ACS), transit riders (2019 Metro), transit service frequency (2019 Metro), bicycle infrastructure (2021 LADOT), intersection density (2019 City of Los Angeles Department of City Planning), and bike and pedestrian injuries per 10,000 residents (2020 Statewide Integrated Traffic Records System). For more information, see pages 111-115 of the 2013 Health Atlas, which is available as a PDF on the Los Angeles City Planning website, https://planning.lacity.gov.

Data and maps features in this app include:- Los Angeles metro rail layers- Los Angeles Metro bus lines- Los Angeles public transit stations: Metrolink, metro, transit, amtrak, etc. - Los Angeles major highwaysData collected using the Los Angeles GeoHub: https://geohub.lacity.org/