This dataset shows the geographic locations of the stations and branches on the LIRR as of 2013. It does not include more recent changes, namely the opening of Grand Central Madison and Elmont-UBS Arena station. It will be updated in the future to account for those changes.

This dataset shows the geographic locations of the branches on the LIRR used in passenger service as of 2013. It does not include a more recent change, namely the opening of the line to Grand Central Madison. It will be updated in the future to account for this.

This dataset shows the geographic locations of the stations on the LIRR as of 2013. It does not include more recent changes, namely the opening of Grand Central Madison and Elmont-UBS Arena station. It will be updated in the future to account for those changes.

This data contains schedules and associated data for NYCT Subway, NYCT Bus,
MTA Bus, LIRR, and Metro-North in GTFS Static format:
--Station / bus stop locations
--Train lines / bus routes
--Schedule information, including holiday services
--Schedules for upcoming planned work (LIRR and MNR only)

The percent of the time that elevators and escalators are operational systemwide.

Through the Permanent Art Program, Arts for Transit commissions public art that is seen by millions of city-dwellers as well as national and international visitors who use the MTA’s subways and trains. Arts for Transit works closely with the architects and engineers at MTA NYC Transit, Long Island Rail Road and Metro-North Railroad to determine the parameters and sites for the artwork that is to be incorporated into each station scheduled for renovation. Both well-established and emerging artists contribute to the growing collection of works created in the materials of the system -mosaic, ceramic, tile, bronze, steel and glass. Artists are chosen through a competitive process that uses selection panels comprised of visual arts professionals and community representatives which review and select artists. This data provides the branch or station and the artist and artwork information.

These surveys were conducted to collect data on travel origins and
destinations, trip purposes, and travel characteristics of New York City
Transit, Metro-North Railroad, and Long Island Rail Road customers with
the aim of upgrading the MTA's travel forecasting tools and gaining a
better understanding of how people travel.
--LIRR origin-destination survey (2012-14)
--Metro-North origin-destination survey (2007)
--Metro-North origin-destination survey (2017)
--MTA New York City travel survey (2008)
--MTA New York City travel survey (2018)

These metrics reflect the quality of fare collection by LIRR conductors, as observed by MTA Auditors.

Service Delivered measures our ability to deliver the amount scheduled service and capacity versus actual service.

This dataset is of major incidents on the LIRR, which are defined as events that lead to ten or more trains that are delayed by more than 5 minutes 59 seconds, canceled, or terminated.

Mean Distance Between Failures represents the number of miles a rail car travels before a mechanical failure makes the train arrive at its final destination more than 5 minutes and 59 seconds later than scheduled. This measures the reliability of equipment in revenue service.

This dataset lists all LIRR trains that are delayed, with information on whether a train is cancelled, partially cancelled, or late (in a rounded number of minutes), the train number, and the branch the train operates on. For the cause of delays, use dataset https://data.ny.gov/Transportation/MTA-LIRR-Delays-Beginning-2010/e32g-kbe9, which is updated monthly.

Service Reliability metrics evaluate the LIRR’s ability to deliver timely and effective service to its customers. Included in these metrics are: Major Incidents, 4m to 6m Train Delays, Average Delay per Late Train, Number of Trains Over 15 Minutes Late, Number of Short Trains, Low Adhesion Delays.

This dataset lists all LIRR trains that are delayed, with information on whether a train is cancelled, partially cancelled, or late (in a rounded number of minutes), the specific delay cause category, the train number, and the branch the train operates on. For data released daily, though without the cause of delays, use dataset https://data.ny.gov/Transportation/MTA-LIRR-Delay-Verification-Beginning-2010/wkbk-y3dt/about_data.

This deprecated dataset contains information on LIRR Systemwide Delays using reporting categories that were active from 2015 to 2022. More up-to-date and granular information on LIRR Delays can be found at data.ny.gov/d/e32g-kbe9.

The daily ridership dataset provides systemwide ridership and traffic estimates for subways (including the Staten Island Railway), buses, Long Island Rail Road, Metro-North Railroad, Access-A-Ride, and Bridges and Tunnels, beginning 3/1/2020 (4/1/2020 for LIRR and Metro-North), and provides a percentage comparison against a comparable pre-pandemic date.

Until March 2020, the MTA publicized solicitations on its website for capital projects in its Eye on the Future newsletters. Each report contained information for prospective contractors, engineers, architects and vendors about contracts for professional services, construction, and equipment procurement capital projects that are expected to be advertised for bids during specific time period by the Metropolitan Transportation Authority’s operating agencies.

On-Time Performance (OTP) determines how frequently a commuter train arrives at its final destination within 5 minutes and 59 seconds of its scheduled time.

This dataset includes the RGB Hex code and CMYK values for the colors used by the MTA for its various services, including the New York City Subway, the Staten Island Railway, the Long Island Rail Road, Metro-North Railroad, and Bridges & Tunnels, and for the MTA logo itself.

This metric tracks the monthly dollar amount of chargebacks and the percentage of transactions that have been disputed with the customer receiving a refund.

This dataset provides information on various indicators of safety measured by Long Island Rail Road. The indicators are a combination of preventative measures taken to prevent unsafe incidents, as well as occurrences of unsafe incidents.

The 2025-2044 20-Year Needs Assessment outlines capital work the MTA needs to do over the next two decades to keep the region moving. The MTA developed a three-part plan to secure the foundation of the system and ensure another 100 years of service by reconstructing, renewing, and modernizing the system. This dataset includes data on all revenue fleets, except for cars and locomotives used for Metro-North service owned by New Jersey Transit and the Connecticut Department of Transportation that are used in pooled service. The dataset, for each fleet asset, includes the fleet type, its number of units, its useful life, and the years its cars were first and last accepted.

This dataset contains information on customer feedback submitted by riders of the transit system on the MTA’s website. For each piece of feedback provided, it is categorized as a complaint or commendation, and there is information provided for the agency (Buses, Subway, Long Island Rail Road, or Metro-North Railroad), the subject matter, the subject detail, the issue detail, the year, the quarter, and, if applicable, the branch/line/route.

This dataset includes the following safety metrics: customer accident rate, grade crossing incidents, train derailments, train collisions, lost time accident rate, lost time injury rate, employee lost time days.

The 2025-2044 20-Year Needs Assessment Comparative Evaluation is a framework which assesses the costs and benefits of potential expansions and enhancements. All potential projects are evaluated using a consistent set of models, tools, and criteria including ridership, time savings, network resilience and sustainability, capacity, equity, network leverage, geographic distribution, and cost. The most promising projects may be advanced for further study and possible inclusion in future capital plans. To view the full comparative evaluation and further details on the methodology, visit future.mta.info.