NYCT Paratransit ridership measures both total trips, the count of trips provided to registered NYCT Paratransit clients in a given month, and total ridership, the count of personal care attendants (PCAs) and guests who join clients on the trips.

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.

This dataset includes the RGB Hex code and CMYK values for the colors used by the MTA for its various services, including the New York City Subway, the Staten Island Railway, the Long Island Rail Road, Metro-North Railroad, and Bridges & Tunnels, and for the MTA logo itself.

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

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.

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.

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.

Pickup On-Time Performance (OTP) measures the quality of provider service, comparing actual to promised pickup time. Trips are considered on-time if they arrive no more than 20 minutes after the promised time. This dataset also includes trips that arrive within 15 and 30 minutes of the promised time.

Ride Time measures customer trip duration. Actual vs. Scheduled presents travel time variance, Average Travel Time presents the average actual trip duration, and Max Ride Time by trip distance category.

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.

The dataset consists of annual procurement contracts data reported by the Metropolitan Transportation Authority to the Authorities Budget Office via the Public Authorities Reporting Information System (PARIS).

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).

Additional Bus Stop Time is the average time that customers spend waiting at a stop beyond their scheduled wait time.

Additional Travel Time is the average time customers spend onboard a bus beyond their scheduled travel time.

Customer Journey Time Performance is the percentage of customers whose journeys are completed within 5 minutes of their scheduled time.

This dataset covers data between 2017 and 2019. For data from 2020 on, use https://data.ny.gov/Transportation/MTA-Bus-Customer-Journey-Focused-Metrics-Beginning/wrt8-4b59/about_data.

Major felonies reflect the count of arrests made in relation to seven major felony offenses within the MTA system. These offenses are classified as murder, rape, robbery, felony assault, burglary, grand larceny, and grand larceny auto.

Max Ride Time Performance presents the percentage of trips performed with Access-A-Ride’s established max ride time standards between 2018 and 2023. This dataset is now retired as this metric can be calculated from MTA NYCT Paratransit Ride Time (https://data.ny.gov/Transportation/MTA-NYCT-Paratransit-Ride-Time-Beginning-2017/wtm4-vjm7/).

Service Delivered measures the percentage of scheduled buses that are actually provided during peak hours. This dataset covers data from 2020 and on. For data between 2015 and 2019, use dataset https://data.ny.gov/Transportation/MTA-Bus-Service-Delivered-2015-2019/tw28-zvtk.

Service Delivered measures the percentage of scheduled buses that are actually provided during peak hours. This dataset covers data between 2015 and 2019. For data from 2020 on, use https://data.ny.gov/Transportation/MTA-Bus-Service-Delivered-Beginning-2020/2e6s-9gpm.

This metric measures customer complaints about Access-a-Ride, including about Transportation and non-Transportation service quality. This data is used along with Trips/Ridership data to create the Complaint rate metric which is complaints per 1000 completed trips.

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.

Quarterly estimated Fare Evasion rate for Subways with margin of error. Rate estimated using surveys conducted by traffic checkers and applying stratified sampling.

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 from 2020 and on. For data between 2015 and 2019, use dataset https://data.ny.gov/Transportation/MTA-Subway-Service-Delivered-2015-2019/32ch-sei3.

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. Trips are considered on-time if they are no more than 30 minutes early, and no later than the appointment time.

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.

Service Reliability metrics evaluate the LIRR’s ability to deliver timely and effective service to its customers. Included in these metrics are: Major Incidents, 4m to 6m Train Delays, Average Delay per Late Train, Number of Trains Over 15 Minutes Late, Number of Short Trains, Low Adhesion Delays.

On-Time Performance (OTP) determines how frequently a commuter train arrives at its final destination within 5 minutes and 59 seconds of its scheduled time.