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.

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.

Wait Assessment measures how evenly buses are spaced. This dataset covers data from 2020 and on. For data between 2015 and 2019, use dataset https://data.ny.gov/Transportation/MTA-Bus-Wait-Assessment-2015-2019/bmix-dpzc.

This dataset includes monthly customer feedback performance metric data for NYCT. For Subways, Buses, Access-A-Ride, MetroCard, and Other NYCT, there is data on the total number of complaints and commendations, and the number of complaints and commendations per 100,000 riders, along with monthly ridership.

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

This dataset consists of a set of 2D geofence polygons that are intended to capture the Manhattan CBD as defined by the MTA Reform and Traffic Mobility Act. That legislation defines it as the geographic area of Manhattan south of and inclusive of 60th Street, not including the Franklin D. Roosevelt (FDR) Drive and the West Side Highway/Route 9A, the Battery Park Underpass and any surface roadway portion of the Hugh L. Carey Tunnel that connects to West Street (the West Side Highway/Route 9A).

The number of reportable job-related incidents that result in the inability of an employee to perform full job duties for at least one working day beyond the day of the incident, as well as a breakdown of the number of Employees and Lost Time Accident Rates.

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.

Wait Assessment measures how evenly buses are spaced. This dataset covers data between 2015 and 2019. For data from 2020 on, use https://data.ny.gov/Transportation/MTA-Bus-Wait-Assessment-Beginning-2020/swky-c3v4.

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)

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

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

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.

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).

A dataset listing all station complexes in the subway system. Station complexes are collections of stations which are interconnected by passageways within fare control or are stations on different levels that are not parallel to each other and that are connected by stairways, escalators, or elevators.

Service Delivered measures our ability to deliver the amount scheduled service and capacity versus actual service. It details the number of trains that actually ran, and the number of trains that were canceled or terminated.

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.

This dataset provides actual and projected monthly headcount data, obtained from the MTA’s annual budgeting process, for each month of a fiscal year, categorized by budget scenario, Agency, function, occupational group, and segmented by non-reimbursable (NREIMB) or reimbursable (REIMB) positions.

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

This retired dataset contains information on entry/exit values for individual control areas and is posted purely for archival purposes. More detailed subway ridership data is now supported through https://data.ny.gov/Transportation/MTA-Subway-Hourly-Ridership-Beginning-February-202/wujg-7c2s.

This retired dataset contains information on entry/exit values for individual control areas and is posted purely for archival purposes. More detailed subway ridership data is now supported through https://data.ny.gov/Transportation/MTA-Subway-Hourly-Ridership-Beginning-February-202/wujg-7c2s.

Service alerts in the MTA system are generated to inform passengers of both scheduled and unscheduled events that affect the transit network. These events can range from planned maintenance and construction activities to unexpected incidents such as accidents, track maintenance or planned work and more. The process of creating alerts involves the continuous monitoring of the transit system, including station locations, track statuses, and external factors that might impact service. When a potential disruption is identified, an alert is generated to provide passengers with timely and accurate information about how their travel might be affected.

This metric measures the frequency with which primary providers do not arrive at the pick-up location within 30 minutes of the promised time and the trip is not provided.

This dataset lists all causes of delays on Metro-North that results in a train is cancelled, terminated, substituted by bus service, or late (in a rounded number of minutes). The specific delay cause category, the train number, and the branch the train operates on are also provided.

Reflects the total number of registrants for paratransit service by borough/county per month.