In 2022, the number of passengers who entered the New York City Subway system amounted to almost 1.2 billion, a year-over-year increase of around 14 percent. During the same year, the busiest station of the subway network, serving 54.3 million passengers, was Time Square-42nd Street, located under Times Square and the Port Authority Bus Terminal in Midtown Manhattan. The Metropolitan Transportation Authority (MTA) The Metropolitan Transportation Authority (MTA) is the corporation responsible for public transit in the New York City metropolitan area and is the largest transit authority in the United States. The MTA operates a commuter rail service combined with local and express bus lines, a bus rapid transit system, and the NYC Subway. Prior to the pandemic, the MTA transported approximately 2.6 billion passengers, of which around 66 percent traveled on the underground network. In 2020, MTA ridership suffered a considerable decrease of almost 63 percent compared to the previous year, falling to 960 million paid passengers amid the COVID-19 pandemic. Passenger numbers rose to 1.3 billion in 2022, but ridership remained low compared to pre-pandemic figures. U.S. public transportation From coast to coast, the public transit networks in the United States move billions of passengers every year. In 2020 alone, the number of people transported by public transportation amounted to 9.9 billion. A year later, transit ridership dropped sharply to 4.6 billion passengers, a year-on-year decrease of 53.2 percent directly corresponding with the movement and travel restrictions imposed by the federal and state governments. By 2023, the number of passenger trips had recovered to 7.11 billion, which was still 28 percent below levels in 2019.

This dataset provides subway ridership estimates on an hourly basis by subway station complex and class of fare payment.

This dataset provides subway ridership estimates on an hourly basis by subway station complex and class of fare payment.

In 2022, the number of passengers transported on the Metropolitan Transportation Authority (MTA) network amounted to approximately 1.3 billion. This was still well below its passenger numbers before the COVID-19 pandemic, which exceeded 2.5 billion passengers. Passenger numbers had already seen a slow decline in the years leading up to the pandemic. Largest urban rail system in the U.S. The MTA is the corporation responsible for public transit in the New York City metropolitan area, and it operates the largest heavy rail system in the U.S., together with local and express buses, and a bus rapid transit system. In 2022, the New York subway transported more than 17-times as many passengers as the second-largest network in the U.S. in Chicago, Illinois. High fares for commuter rail Commuter rail accounted for some of the highest median cost of monthly transport passes in the U.S. in 2022. The median rail commuter paid 137.50 U.S. dollars for their monthly pass. Commuter bus passes also ranged among the most expensive passes at a median cost of 95 U.S. dollars.

This dataset provides an estimate of subway travel patterns based on scaled-up OMNY and MetroCard return swipe data. It provides estimated passenger volumes for all populated origin-destination (O-D) pairs aggregated by month, day of the week, and hour of day. It also provides the name, ID, and approximate latitude and longitude of the origin and destination subway complexes.

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

This dataset provides bus ridership estimates on an hourly basis by bus route and class of fare payment.

In 2022, around 65.7 percent of the total ridership of the Metropolitan Transportation Authority (MTA) network was transported by the New York City Subway. During 2022, the NYC underground network reported over one billion paid rides, a considerable year-over-year increase of around 33 percent. The MTA is the corporation responsible for public transit in the New York City metropolitan area. It operates the largest subway system in the U.S., together with commuter rail lines, local and express buses, and a bus rapid transit system.

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, Bridges and Tunnels, and the Central Business District and Congestion Relief Zone since the start of Congestion Pricing

Unlinked passenger trips on an annual basis for Maryland Transit Administration services; Local Bus, Light Rail, Metro Rail, Mobility, MARC and Commuter Bus, and Locally Owned Transit Systems (LOTS).

The daily ridership dataset provides systemwide ridership and traffic estimates for subways, buses, Long Island Rail Road, Metro-North Railroad, Access-A-Ride, and Bridges and Tunnels, beginning 3/1/20 (4/1/20 for LIRR and Metro-North), and provides a percentage comparison against a comparable pre-pandemic date.

This is a copy of the MTA Average Weekday Ridership dataset provided by the Maryland Transit Administration. It is being used to test some new functionality in the Performance Improvement Office. It is being uploaded in September and will be taken down by October 1, 2017. Just using it for some testing purposes.

Set of annual MDOT perfromance data including port, transit, bridge and highway condition, and MVA branch office wait time data.

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 the Subway hourly dataset (https://data.ny.gov/Transportation/MTA-Subway-Hourly-Ridership-Beginning-February-202/wujg-7c2s).

This dataset provides bus ridership estimates on an hourly basis by bus route and class of fare payment.

Analysis of ‘GOPI Resource MM - MTA Average Weekday Ridership’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/3fec4c93-064c-4f4f-b8a2-88453b074b1a on 26 January 2022.

--- Dataset description provided by original source is as follows ---

This is a copy of the MTA Average Weekday Ridership dataset provided by the Maryland Transit Administration. It is being used to test some new functionality in the Performance Improvement Office. It is being uploaded in September and will be taken down by October 1, 2017. Just using it for some testing purposes.

--- Original source retains full ownership of the source dataset ---

Analysis of ‘MTA Fiscal Year Ridership’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/ffa3d4f7-5524-4fdd-aa28-0769a49679b4 on 26 January 2022.

--- Dataset description provided by original source is as follows ---

Unlinked passenger trips on an annual basis for Maryland Transit Administration services; Local Bus, Light Rail, Metro Rail, Mobility, MARC and Commuter Bus, and Locally Owned Transit Systems (LOTS).

--- Original source retains full ownership of the source dataset ---

*** DISCLAIMER - This web page is a public resource of general information. The Maryland Mass Transit Administration (MTA) makes no warranty, representation, or guarantee as to the content, sequence, accuracy, timeliness, or completeness of any of the spatial data or database information provided herein. MTA and partner state, local, and other agencies shall assume no liability for errors, omissions, or inaccuracies in the information provided regardless of how caused; or any decision made or action taken or not taken by any person relying on any information or data furnished within. ***

This dataset assesses rail station potential for different forms of transit oriented development (TOD). A key driver of increased transit ridership in Maryland, TOD capitalizes on existing rapid transit infrastructure. The online tool focuses on the MTA’s existing MARC Commuter Rail, Metro Subway, and Central Light Rail lines and includes information specific to each station.

The goal of this dataset is to give MTA planning staff, developers, local governments, and transit riders a picture of how each MTA rail station could attract TOD investment. In order to make this assessment, MTA staff gathered data on characteristics that are likely to influence TOD potential. The station-specific data is organized into 6 different categories referring to transit activity; station facilities; parking provision and utilization; bicycle and pedestrian access; and local zoning and land availability around each station.

As a publicly shared resource, this dataset can be used by local communities to identify and prioritize area improvements in coordination with the MTA that can help attract investment around rail stations.

You can view an interactive version of this dataset at geodata.md.gov/tod.

** Ridership is calculated the following ways: Metro Rail ridership is based on Metro gate exit counts. Light Rail ridership is estimated using a statistical sampling process in line with FTA established guidelines, and approved by the FTA. MARC ridership is calculated using two (2) independent methods: Monthly Line level ridership is estimated using a statistical sampling process in line with FTA established guidelines, and approved by the FTA. This method of ridership calculation is used by the MTA for official reporting purposes to State level and Federal level reporting. Station level ridership is estimated by using person counts completed by the third party vendor. This method of calculation has not been verified by the FTA for statistical reporting and is used for scheduling purposes only. However, because of the granularity of detail, this information is useful for TOD applications. *Please note that the monthly level ridership and the station level ridership are calculated using two (2) independent methods that are not interchangeable and should not be compared for analysis purposes.

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 average weekday ridership is indicative of the number of transit patrons making a one-way trip on any mode per weekday. This number is estimated and excludes holidays.