This dataset is a moment in time snapshot of the locations of authorized businesses that can sell E-ZPass tags. It includes the name of the company, and its address.

This dataset provides data showing the number of vehicles (including cars, buses, trucks and motorcycles) that pass through each of the bridges and tunnels operated by the MTA each hour of the day. The data is updated weekly.

This dataset is a moment in time snapshot of the locations of authorized businesses that can sell E-ZPass tags. It includes the name of the company, and its address.

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.

Through the Permanent Art Program, Arts for Transit commissions public art that is seen by millions of city-dwellers as well as national and international visitors who use the MTA’s subways and trains. Arts for Transit works closely with the architects and engineers at MTA NYC Transit, Long Island Rail Road and Metro-North Railroad to determine the parameters and sites for the artwork that is to be incorporated into each station scheduled for renovation. Both well-established and emerging artists contribute to the growing collection of works created in the materials of the system -mosaic, ceramic, tile, bronze, steel and glass. Artists are chosen through a competitive process that uses selection panels comprised of visual arts professionals and community representatives which review and select artists. This data provides the branch or station and the artist and artwork information.

The daily ridership 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, and Bridges and Tunnels, beginning 3/1/2020 (4/1/2020 for LIRR and Metro-North), and provides a percentage comparison against a comparable pre-pandemic date.

This dataset consists of a set of 2D geofence polygons that are intended to capture the Manhattan CBD as defined by the MTA Reform and Traffic Mobility Act. That legislation defines it as the geographic area of Manhattan south of and inclusive of 60th Street, not including the Franklin D. Roosevelt (FDR) Drive and the West Side Highway/Route 9A, the Battery Park Underpass and any surface roadway portion of the Hugh L. Carey Tunnel that connects to West Street (the West Side Highway/Route 9A).

This dataset consists of a set of 2D geofence polygons that are intended to capture the Manhattan CBD as defined by the MTA Reform and Traffic Mobility Act. That legislation defines it as the geographic area of Manhattan south of and inclusive of 60th Street, not including the Franklin D. Roosevelt (FDR) Drive and the West Side Highway/Route 9A, the Battery Park Underpass and any surface roadway portion of the Hugh L. Carey Tunnel that connects to West Street (the West Side Highway/Route 9A).

This dataset includes the RGB Hex code and CMYK values for the colors used by the MTA for its various services, including the New York City Subway, the Staten Island Railway, the Long Island Rail Road, Metro-North Railroad, and Bridges & Tunnels, and for the MTA logo itself.

Until March 2020, the MTA publicized solicitations on its website for capital projects in its Eye on the Future newsletters. Each report contained information for prospective contractors, engineers, architects and vendors about contracts for professional services, construction, and equipment procurement capital projects that are expected to be advertised for bids during specific time period by the Metropolitan Transportation Authority’s operating agencies.

This dataset provides information on various indicators of safety measured by MTA Bridges & Tunnels, along with targets for some indicators. The indicators are a combination of preventative measures taken to prevent unsafe incidents, as well as occurrences of unsafe incidents.

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.

The 2025-2044 20-Year Needs Assessment is a broad, comprehensive blueprint that outlines the MTA region's transportation capital needs for the next generation. It provides an extensive, long-term view based upon rigorous data analysis across all the MTA agencies. The MTA developed a three-part plan to for the next 20 years to achieve the transit network New Yorkers deserve. It is based on three fundamental ideas: rebuild the foundation of the system to ensure its survival, improve our network to meet 21st century needs, and expand to support future growth. This dataset includes data on the conditions of most assets in the MTA system.

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.

This dataset consists of a set of polygons that will allow users of New York City Taxi and Limousine Commission data on trip records for taxi and for-hire vehicle trips to determine which trips originate and/or end in a Taxi Zone in the Central Business District and are thus subjected to the CBD Tolling Program. TLC trip record data is available on NYC Open Data in separate datasets each year for yellow taxis, green taxis, for-hire vehicles (FHVs) dispatched by a high-volume for-hire vehicle service (HVFHVs), and other FHVs.

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 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.

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 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 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 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.

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.