This dataset shows the geographic locations of the stations and branches on the LIRR as of 2013. It does not include more recent changes, namely the opening of Grand Central Madison and Elmont-UBS Arena station. It will be updated in the future to account for those changes.

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 shows the geographic locations of the branches on the LIRR used in passenger service as of 2013. It does not include a more recent change, namely the opening of the line to Grand Central Madison. It will be updated in the future to account for this.

Service Delivered measures our ability to deliver the amount scheduled service and capacity versus actual service.

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.

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.

Service Delivered measures our ability to deliver the amount scheduled service and capacity versus actual service. It details the number of trains that actually ran, and the number of trains that were canceled or terminated.

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

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.

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.

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.

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.

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.

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

This dataset lists all LIRR trains that are delayed, with information on whether a train is cancelled, partially cancelled, or late (in a rounded number of minutes), the train number, and the branch the train operates on. For the cause of delays, use dataset https://data.ny.gov/Transportation/MTA-LIRR-Delays-Beginning-2010/e32g-kbe9, which is updated monthly.

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 lists all LIRR trains that are delayed, with information on whether a train is cancelled, partially cancelled, or late (in a rounded number of minutes), the specific delay cause category, the train number, and the branch the train operates on. For data released daily, though without the cause of delays, use dataset https://data.ny.gov/Transportation/MTA-LIRR-Delay-Verification-Beginning-2010/wkbk-y3dt/about_data.

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 Train Time (ATT) is the estimated average extra time that customers spend onboard a train, compared to the time they would have spent onboard a train if trains were running according to schedule.

Additional Journey Time (AJT) is the estimated average extra time that customers spend on their journey, compared with the scheduled time. It is the sum of the additional time spent waiting on platforms (APT) and the additional time spent onboard a train (ATT).

Journey Time is the average total time a customer spends on their journey waiting for and riding a specific train line.

Customer Journey Time Performance (CJTP) is the estimated percentage of rider trips that are completed within 5 minutes of their scheduled time.

These measures are estimated for each individual train a customer uses in their journey, also known as an unlinked trip, not all trains in their journey combined.

This dataset covers data between 2015 and 2019. For data from 2020 on, use dataset https://data.ny.gov/Transportation/MTA-Subway-Customer-Journey-Focused-Metrics-Beginn/4apg-4kt9.

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 Train Time (ATT) is the estimated average extra time that customers spend onboard a train, compared to the time they would have spent onboard a train if trains were running according to schedule.

Additional Journey Time (AJT) is the estimated average extra time that customers spend on their journey, compared with the scheduled time. It is the sum of the additional time spent waiting on platforms (APT) and the additional time spent onboard a train (ATT).

Journey Time is the average total time a customer spends on their journey waiting for and riding a specific train line.

Customer Journey Time Performance (CJTP) is the estimated percentage of rider trips that are completed within 5 minutes of their scheduled time.

These measures are estimated for each individual train a customer uses in their journey, also known as an unlinked trip, not all trains in their journey combined.

This dataset covers data from 2020 and on. For data between 2015 and 2019, use dataset https://data.ny.gov/Transportation/MTA-Subway-Customer-Journey-Focused-Metrics-2015-2/r7qk-6tcy.