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.

These metrics reflect the quality of fare collection by LIRR conductors, as observed by MTA Auditors.

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

The number of summonses and arrests made by NYPD or MTAPD for fare evasion and other violations of the rules of conduct of the transit system.

This dataset provides information on various indicators of safety performance measured by Metro North 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 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.

Ridership projections for the Metropolitan Transportation Authority, developed by McKinsey & Company, to help management assess the financial impact of the COVID-19 pandemic on MTA operations.

This deprecated dataset contains information on LIRR Systemwide Delays using reporting categories that were active from 2015 to 2022. More up-to-date and granular information on LIRR Delays can be found at data.ny.gov/d/e32g-kbe9.

This dataset provides a detailed breakout of the dedicated taxes and subsidies received from the State of New York and businesses, individuals and localities in the MTA region. This data is obtained from the MTA’s annual budgeting process and is available for each month of a fiscal year, on both an accrual (represented as NREIMB) and a cash basis. Data is categorized by budget scenario, Agency, Financial Plan Year, and subcategories for types of subsidies.

This retired dataset contains information on entry/exit values for individual control areas and is posted purely for archival purposes. More detailed subway ridership data is now supported through https://data.ny.gov/Transportation/MTA-Subway-Hourly-Ridership-Beginning-February-202/wujg-7c2s.

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 6m Train Delays, Average Delay per Late Train, Number of Trains Over 15 Minutes Late, Number of Short Trains.

The MTA Debt Outstanding dataset provides detailed information of MTA’s outstanding principal from its bond issuances. The information is provided by credit and by specific bond series and is shown in dollars in millions. The dataset shows the original issuances amount, Bond Purchase Agreement sale date, the final maturity date, how much of the series is outstanding in fixed rate, variable, or synthetic fixed, and the total outstanding. Additionally, the dataset indicates the true interest cost (TIC) for the specific bond series.

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.

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 and 59 seconds later than scheduled. This measures the reliability of equipment in revenue service.

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.

The 2025-2044 20-Year Needs Assessment Comparative Evaluation is a framework which assesses the costs and benefits of potential expansions and enhancements. All potential projects are evaluated using a consistent set of models, tools, and criteria including ridership, time savings, network resilience and sustainability, capacity, equity, network leverage, geographic distribution, and cost. The most promising projects may be advanced for further study and possible inclusion in future capital plans. To view the full comparative evaluation and further details on the methodology, visit future.mta.info.

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.

This dataset provided statistics and performance metrics about the volume and responsiveness in engaging with customers via several customer engagement channels. Data was provided for New York City Transit Subway and Bus customer engagement and customer service teams between May 2017 and May 2022.

This retired dataset provides financial information on total positions in Function/Department related to different MTA Agencies budgetary estimates and actuals. For a more comprehensive view of this data, please use MTA Headcount at data.ny.gov/d/ui26-n8p4.

The Fuel Hedging dataset contains, weighted average fuel prices locked in by financial hedging, historical and forecasted data of fuel purchases across MTA agencies, and forecasted commodity prices.

This metric tracks the monthly dollar amount of chargebacks and the percentage of transactions that have been disputed with the customer receiving a refund.

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

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).

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.

This dataset shows the geographic locations of the stations 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.