This is a dataset containing the entrances and exits at New York City Subway and Staten Island Railway stations. Information is provided on the entrance or exit, including their coordinates, the borough they are in, whether it allows entries and exits, and the type of entrance (more information below). The dataset also includes the name of the station complex, the complex ID number, the name of the specific station in the complex the entrance is for (constituent station), the station ID number, the GTFS Stop ID, the daytime routes that stop at the station complex, and the line and division the constituent station is on.

The MTA contracted with Transit Wireless to provide WIFI access and cell service to all underground subway stations. These services began being provided in 2011 and were available at all of those stations in January 2017. This dataset is a snapshot of the stations where Wi-Fi was available in part of 2015 and 2016.

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 reflects the number and percentage of subway trains delayed per weekday based on scheduled service, broken down into specific delay categories.

This dataset provides subway and bus mask compliance statistics from MTA surveys that took place between June 2020 and April 2022. It provides the number of observations in each survey, and the percentages for the number of people with no mask, wearing a mask, wearing a mask incorrectly, and wearing a mask correctly.

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 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).

Major Incidents are incidents that delay 50 or more trains, which cause the most disruption to customers. This dataset covers data from 2020 and on. For data between 2015 and 2019, use dataset https://data.ny.gov/Transportation/MTA-Subway-Major-Incidents-2015-2019/ereg-mcvp.

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.

A dataset listing all subway and Staten Island Railway stations, with data aggregated by station complex. This dataset includes information on station names, their locations, Station IDs, Complex IDs, GTFS Stop IDs, the services that stop there, the type of structure the station is on or in, whether they are in Manhattan’s Central Business District (CBD), and their ADA-accessibility status.

Through the Permanent Art Program, MTA Arts & Design (formerly 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 & Design 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. A diversity of well-established, mid-career 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.

Major Incidents are unplanned incidents that delay 50 or more trains, which cause the most disruption to customers. This dataset covers data between 2015 and 2019. For data from 2020 on, use dataset https://data.ny.gov/Transportation/MTA-Subway-Major-Incidents-Beginning-2020/j6d2-s8m2.

This is a dataset containing the entrances and exits at New York City Subway and Staten Island Railway stations. Information is provided on the entrance or exit, including their coordinates, the borough they are in, whether it allows entries and exits, and the type of entrance (more information below). The dataset also includes the name of the station complex, the complex ID number, the name of the specific station in the complex the entrance is for (constituent station), the station ID number, the GTFS Stop ID, the daytime routes that stop at the station complex, and the line and division the constituent station is on.

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

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

This indicator reflects the percentage of time during each month that the average platform at accessible stations is available to passengers who need step-free access.

This dataset provides subway ridership estimates on an hourly basis by subway station complex and class of fare payment.

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.

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

Mean Distance Between Failures reports how frequently train mechanical problems cause delays by month and subway car class. It is the main indicator for subway car reliability used at NYCT and is used to compare performance over time and across different subway car types. Only a small proportion of subway delays are due to malfunctioning trains.

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

Bus Speeds measure how quickly buses travel along their routes. This dataset covers data between 2015 and 2019. For data from 2020 on, use https://data.ny.gov/Transportation/MTA-Bus-Speeds-Beginning-2020/6ksi-7cxr.

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)

This indicator shows the number of wheelchair ramp or lift deployments on buses each month.

This dataset reflects the monthly number of units vandalized for select elements of the subway and bus system.