This dataset contains information on customer feedback submitted by riders of the transit system on the MTA’s website. For each piece of feedback provided, it is categorized as a complaint or commendation, and there is information provided for the agency (Buses, Subway, Long Island Rail Road, or Metro-North Railroad), the subject matter, the subject detail, the issue detail, the year, the quarter, and, if applicable, the branch/line/route.

This dataset provides information on various indicators of safety measured by Metro-North Railroad. The indicators are a combination of preventative measures taken to prevent unsafe incidents, as well as occurrences of unsafe incidents.

This dataset lists all causes of delays on Metro-North that results in a train is cancelled, terminated, substituted by bus service, or late (in a rounded number of minutes). The specific delay cause category, the train number, and the branch the train operates on are also provided.

This dataset lists all Metro-North trains that are delayed, defined as those that are canceled, terminated, substituted by bus service during unplanned circumstances, or arrive at their destination with a delay of a specified number of minutes, the train number, and the branch the train operates on.

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.

This dataset provides systemwide ridership and traffic estimates for subways (including the Staten Island Railway), buses, Long Island Rail Road, Metro-North Railroad, Access-A-Ride, Bridges and Tunnels and Staten Island Railway on a monthly basis.

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.

This dataset reflects the monthly number of employee-reported incidents of workplace violence, as defined by New York State Labor Law Section 27-B, against on-duty MTA employees. This dataset divides workplace violence incidents into groupings according to New York State Penal Law Related Offenses. The same data is available in the MTA Workplace Violence Labor Law Incidents dataset, which divides the data as reported pursuant to New York State Labor Law Section 27-B.

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.

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 actual and projected monthly headcount data, obtained from the MTA’s annual budgeting process, for each month of a fiscal year, categorized by budget scenario, Agency, function, occupational group, and segmented by non-reimbursable (NREIMB) or reimbursable (REIMB) positions.

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.

The dataset provides financial information on total positions in Function/Occupational Group 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.

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.

This dataset reflects the monthly number of employee-reported incidents of workplace violence, as defined by New York State Labor Law Section 27-B, against on-duty MTA employees. This dataset divides workplace violence incidents into groupings as reported pursuant to New York State Labor Law Section 27-B. The same data is available in the MTA Workplace Violence Penal Law Incidents dataset, which divides the data according to New York State Penal Law Related Offenses.

Service alerts in the MTA system are generated to inform passengers of both scheduled and unscheduled events that affect the transit network. These events can range from planned maintenance and construction activities to unexpected incidents such as accidents, track maintenance or planned work and more. The process of creating alerts involves the continuous monitoring of the transit system, including station locations, track statuses, and external factors that might impact service. When a potential disruption is identified, an alert is generated to provide passengers with timely and accurate information about how their travel might be affected.

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.

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 metrics in the dataset available elsewhere on the open data portal.