This dataset includes data for subway schedules, both the base schedule and the supplement schedule in effect. It includes rows for each scheduled stop on a trip.

Additional Platform Time (APT) is the estimated average extra time that customers spend waiting on the platform for a train, compared with their scheduled wait time. Additional...

This dataset presents the number of subway incidents that caused train delays, broken down by line, day type (weekday/weekend), and specific delay category and subcategory.

This dataset combines Key Performance Indicator data that was reported starting with the creation of the MTA Stat performance metric dashboard in 2008 through 2021. Most of the...

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

Terminal On-Time Performance measures the percentage of trains arriving at their destination terminals as scheduled.

Additional Platform Time (APT) is the estimated average extra time that customers spend waiting on the platform for a train, compared with their scheduled wait time. Additional...

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.

Service Reliability metrics evaluate MNR’s ability to deliver timely and effective service to its customers. Included in these metrics are: Service Type, Major Incidents, 4m to...

This dataset shows the number of subway trains delayed per day type (weekdays and weekends) in a month, broken down into specific delay categories.

Major Incidents are unplanned incidents that delay 50 or more trains, which cause the most disruption to customers.

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...

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...

This dataset includes data for subway schedules, both the base schedule and the supplement schedule in effect. It includes rows for each scheduled stop on a trip.

Bus Speeds measure how quickly buses travel along their routes.

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 includes data for all bus schedules. It includes rows for each scheduled timepoint stop on a trip.

Terminal On-Time Performance measures the percentage of trains arriving at their destination terminals as scheduled.

On-Time Performance (OTP) measures the percentage of trains arriving at their destination terminals as scheduled. While the main measure for OTP excludes delays caused by trains...

This dataset includes data for subway schedules, both the base schedule and the supplement schedule in effect. It includes rows for each scheduled stop on a trip.