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.

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 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).

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.

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 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.

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.

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.

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.

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.

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.

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 from 2020 and on. For data between 2017 and 2019, use dataset https://data.ny.gov/Transportation/MTA-Bus-Customer-Journey-Focused-Metrics-2017-2019/8mkn-d32t.

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.

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.

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 information on various indicators of safety performance measured by Long Island Rail Road. The indicators track safety performance metrics, such as accident rates and incident counts, over monthly periods to monitor and evaluate safety outcomes.

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.

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.

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.

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

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.