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

This dataset provides the load percentage for each express bus route at its maximum load point (the bus stop where the highest number of passengers are on the bus) by direction, hour, day type (weekday, weekends and holidays), aggregated by week.

Terminal On-Time Performance measures the percentage of trains arriving at their destination terminals as scheduled. This dataset covers data from 2020 and on. For data between 2015 and 2019, use dataset https://data.ny.gov/Transportation/MTA-Subway-Terminal-On-Time-Performance-2015-2019/f6rf-2a3t.

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.

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 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 dataset provides bus ridership estimates on an hourly basis by bus route and class of fare payment.

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

Terminal On-Time Performance measures the percentage of trains arriving at their destination terminals as scheduled. This dataset covers data between 2015 and 2019. For data from 2020 on, use dataset https://data.ny.gov/Transportation/MTA-Subway-Terminal-On-Time-Performance-Beginning-/vtvh-gimj.

This archival dataset shows the number of MetroCard swipes made each week by customers entering each station of the New York City Subway, Staten Island Railway, PATH, AirTrain JFK and the Roosevelt Island Tram, broken out to show the relative popularity of the various types of MetroCards. Please use the subway hourly ridership dataset (https://data.ny.gov/Transportation/MTA-Subway-Hourly-Ridership-Beginning-February-202/wujg-7c2s/) for up-to-date data which includes OMNY fares

Service Delivered measures the percentage of scheduled trains that are actually provided during peak hours on weekdays (7 AM to 10 AM and 4 PM to 7 PM) and weekends (10 AM to 6 PM) for a given month. This dataset covers data between 2015 and 2019. For data from 2020 on, use dataset https://data.ny.gov/Transportation/MTA-Subway-Service-Delivered-Beginning-2020/bg59-42xi.

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.

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 the Subway hourly dataset (https://data.ny.gov/Transportation/MTA-Subway-Hourly-Ridership-Beginning-February-202/wujg-7c2s).

Mean Distance Between Failures reports how frequently bus mechanical problems cause delays.

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 the Subway hourly dataset (https://data.ny.gov/Transportation/MTA-Subway-Hourly-Ridership-Beginning-February-202/wujg-7c2s).

This dataset is a table of each distinct set of stations, or path, made by all normal and extra subway trips that run in service, excepting those that skipped one or more planned stops due to service disruptions.

There is a row for each subway stop made by a stop path. These rows also contain the unique id for each path, the number of stops made by the path, the distance in miles along the path, the origin and destination stations, and the order a stop is in the stop path.

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.

Bus Speeds measure how quickly buses travel along their routes. This dataset covers data from 2020 and on. For data between 2015 and 2019, use dataset https://data.ny.gov/Transportation/MTA-Bus-Speeds-2015-2019/cudb-vcni.

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 bus fare evasion (BFE) rate is the estimated percentage of riders who illegally board buses. It is calculated systemwide quarterly using Automated Passenger Counters. Rates are calculated and reported separately for Local/Limited, Express and Select Bus Service. Prior to Q1 2020, fare evasion was estimated using surveys conducted by traffic checkers.

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 the Subway hourly dataset (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 the Subway hourly dataset (https://data.ny.gov/Transportation/MTA-Subway-Hourly-Ridership-Beginning-February-202/wujg-7c2s).

This deprecated 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, and provides a percentage comparison against a comparable pre-pandemic date.

Next-day estimates for daily ridership, without the pre-pandemic comparison, are now provided at https://data.ny.gov/d/sayj-mze2

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

This dataset provides data on how fast buses are traveling between pairs of subsequent timepoints (the major stops on a bus route) for every bus route in the system. It will provide the average speed in miles per hour between pairs of timepoints, the average travel time in minutes, the road distance in miles, and the number of bus trips for each bus route aggregated by month, day of the week, and hour of day. It also provides the type of bus trip (Local, Limited, SBS, Express, School), the borough of the bus route, the names of the timepoints, their coordinates, and the stop sequence order of the first two timepoints in a pair.