This dataset provided statistics and performance metrics about the volume and responsiveness in engaging with customers via several customer engagement channels. Data was provided for New York City Transit Subway and Bus customer engagement and customer service teams between May 2017 and May 2022.

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 provides the monthly legacy service indicators that characterize the age of MTA's bus fleet, broken down by agency (NYC Transit and MTA Bus Company).

Mean Distance Between Service Interruptions is the average distance traveled by a bus between all delays and/or inconveniences to customers.

Weekday Pull Out Performance is a monthly legacy service performance metric that indicates the percent of required buses and operators available in the AM and PM peak periods.

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

This dataset is of major incidents on Metro-North, 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.

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 bus fleets and does not include data on Access-A-Ride paratransit vehicles. For each fleet type (standard, articulated, express), and power source (Zero Emissions, or Any Type, which includes both Zero Emissions and non-Zero Emission buses), there is data for the number of buses, their useful lives, and the percent of buses beyond their useful lives. The dataset also includes the number of buses planned to be ordered in the 2025–2029, 2030–2034, 2035–2039, and 2040–2044 capital programs by type and power source.

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.

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.

The dataset provides financial information on total positions in Function/Occupational Group related to different MTA Agencies budgetary estimates and actuals. For a more comprehensive view of this data, please use MTA Headcount at data.ny.gov/d/ui26-n8p4.

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

This dataset provides information on various indicators of safety measured by MTA Bridges & Tunnels, along with targets for some indicators. The indicators are a combination of preventative measures taken to prevent unsafe incidents, as well as occurrences of unsafe incidents.

This dataset reflects the monthly number of employee-reported incidents of workplace violence, as defined by New York State Labor Law Section 27-B, against on-duty MTA employees. This dataset divides workplace violence incidents into groupings as reported pursuant to New York State Labor Law Section 27-B. The same data is available in the MTA Workplace Violence Penal Law Incidents dataset, which divides the data according to New York State Penal Law Related Offenses.

The MTA contracts with Transit Wireless WIFI (http://www.transitwirelesswifi.com) to provide WIFI access in its subway locations. Transit Wireless maintains location data where WIFI access is available.

Drop-off On-Time Performance (OTP) measures the quality of provider service, comparing actual to customer-requested drop-off time for trips scheduled with an appointment time. This dataset uses the old methodology in which trips were considered on-time if they arrived at the drop-off location no more than five minutes after the requested time. The Drop-off On-Time Performance dataset with the new methodology can be found at https://data.ny.gov/Transportation/MTA-NYCT-Paratransit-Drop-off-On-Time-Performance-/nxai-wcbd/

The MTA contracts with Transit Wireless WIFI (http://www.transitwirelesswifi.com) to provide WIFI access in its subway locations. Transit Wireless maintains location data where WIFI access is available.

This dataset provides information on various indicators of safety measured by Metro-North Railroad. The indicators are a combination of preventative measures taken to prevent unsafe incidents, as well as occurrences of unsafe incidents.

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 the fleet inventory for MTA Police, with information on the number of units for each asset type, the useful life of each type, the year the assets were built, and number of years of remaining useful life. It includes all vehicles used by the MTA Police Department that are eligible for capital funding.

This dataset consists of a set of polygons that will allow users of New York City Taxi and Limousine Commission data on trip records for taxi and for-hire vehicle trips to determine which trips originate and/or end in a Taxi Zone in the Central Business District and are thus subjected to the CBD Tolling Program. TLC trip record data is available on NYC Open Data in separate datasets each year for yellow taxis, green taxis, for-hire vehicles (FHVs) dispatched by a high-volume for-hire vehicle service (HVFHVs), and other FHVs.

This dataset lists all Metro-North trains that are delayed, defined as those that are canceled, terminated, substituted by bus service during unplanned circumstances, or arrive at their destination with a delay of a specified number of minutes, the train number, and the branch the train operates on.

This dataset is a list of MTA bus routes that intersect with the CBD, and how each route relates to the CBD (whether it crosses the CBD or is entirely in the CBD). It is meant to be a dimension table that can easily be used with other bus route-level datasets so that data users can easily distinguish between routes serving the CBD and routes that do not.

This dataset consists of a set of polygons that will allow users of New York City Taxi and Limousine Commission data on trip records for taxi and for-hire vehicle trips to determine which trips originate and/or end in a Taxi Zone in the Central Business District and are thus subjected to the CBD Tolling Program. TLC trip record data is available on NYC Open Data in separate datasets each year for yellow taxis, green taxis, for-hire vehicles (FHVs) dispatched by a high-volume for-hire vehicle service (HVFHVs), and other FHVs.

This dataset provides an estimate of subway travel patterns based on scaled-up OMNY and MetroCard return swipe data. It provides estimated passenger volumes for all populated origin-destination (O-D) pairs aggregated by month, day of the week, and hour of day. It also provides the name, ID, and approximate latitude and longitude of the origin and destination subway complexes.