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

A dataset listing all subway and Staten Island Railway stations, with information on their locations, Station Master Reference Number (MRN), Complex MRN, GTFS Stop ID, the services that stop there, the type of structure the station is on or in, whether the station is in Manhattan’s Central Business District (CBD), and their ADA-accessibility status.

This dataset provides data showing the number of vehicles (including cars, buses, trucks and motorcycles) that pass through each of the nine bridges and tunnels operated by the MTA each day.

This dataset shows the locations where toll gantries cross over the Thruway Authority's roadways. The gantries are used to determine tolls for vehicles that pass under them. They contain cameras, E-ZPass tag readers, and license plate readers, all used to bill users via Cashless Tolling.

User personas are a human-centered design tool that help open data program administrators design programs offerings for the full community open data users for maximum reach and impact. User personas help keep real people in mind when designing program offerings and can identify user segments in the open data community that have the potential to use open data to help solve problems.

The Metropolitan Transportation Authority (MTA) is excited to share our open data user personas which were designed in collaboration with our existing open data community through multiple stakeholder workshops.

The 2025-2044 20-Year Needs Assessment is a broad, comprehensive blueprint that outlines the MTA region's transportation capital needs for the next generation. It provides an extensive, long-term view based upon rigorous data analysis across all the MTA agencies. The MTA developed a three-part plan to for the next 20 years to achieve the transit network New Yorkers deserve. It is based on three fundamental ideas: rebuild the foundation of the system to ensure its survival, improve our network to meet 21st century needs, and expand to support future growth. This dataset includes data on the conditions of most assets in the MTA system.

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.

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.

Passenger Environment Survey indicators combine the results of surveys of a number of different aspects of station conditions to measure passenger comfort and convenience.

Call Center Performance is measured as the percent of calls that are answered and the average speed with which those calls are answered.

Hours, locations, contact info and messages regarding public, NYS DMV offices for which a notation is being displayed at DMV.NY.GOV.

Customer Experience is the percentage of valid trips and no-show trips that meet all four separate measurable established standards for quality of provider service (Pick-up OTP, Drop-off OTP, Max Ride Time, Provider No-Show).

This file contains data on the number and types of vehicles that entered from each entry point on the tolled section of the Thruway with their exit points.

This file contains data on the number and types of vehicles that entered from each entry point on the tolled section of the Thruway with their exit points.

This indicator shows the number of subway and bus journeys made each month by passengers using Reduced-Fare MetroCards between 2018 and 2023. This dataset is now retired, with data on reduced-fare usage of the transit system available in the hourly bus (https://data.ny.gov/Transportation/MTA-Bus-Hourly-Ridership-Beginning-February-2022/kv7t-n8in/) and subway (https://data.ny.gov/Transportation/MTA-Subway-Hourly-Ridership-Beginning-February-202/wujg-7c2s/) ridership datasets.

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)

This file contains data on the number and types of vehicles that entered from each entry point on the tolled section of the Thruway with their exit points.

This file contains data on the number and types of vehicles that entered from each entry point on the tolled section of the Thruway with their exit points.

The Fuel Hedging dataset contains, weighted average fuel prices locked in by financial hedging, historical and forecasted data of fuel purchases across MTA agencies, and forecasted commodity prices.

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.

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

This dataset is obtained from the MTA’s annual budgeting process and provides a detailed breakout of the MTA’s operating expenses and revenues. Data is available for each month of a fiscal year, on an accrual basis, and is categorized by budget scenario (actuals or budgeted plan), Agency, Financial Plan Year, Expense Type, and subcategories for types of expenses or revenues.

Wait Assessment measures how regularly trains are spaced during peak hours at selected timepoints on each line.

This file contains data on the number and types of vehicles that entered from each entry point on the tolled section of the Thruway with their exit points.