In 2022, the number of passengers who entered the New York City Subway system amounted to almost *** billion, a year-over-year increase of around ** percent. During the same year, the busiest station of the subway network, serving **** 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 *** billion passengers, of which around ** percent traveled on the underground network. In 2020, MTA ridership suffered a considerable decrease of almost ** percent compared to the previous year, falling to *** million paid passengers amid the COVID-19 pandemic. Passenger numbers rose to *** 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 *** billion. A year later, transit ridership dropped sharply to *** billion passengers, a year-on-year decrease of **** 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 **** billion, which was still ** percent below levels in 2019.

Historical dataset of population level and growth rate for the New York City metro area from 1950 to 2025.

Context

I wanted to find a better way to provide live traffic updates. We dont all have access to the data from traffic monitoring sensors or whatever gets uploaded from people's smart phones to Apple, Google etc plus I question how accurate the traffic congestion is on Google Maps or other apps. So I figured that since buses are also in the same traffic and many buses stream their GPS location and other data live, that would be an ideal source for traffic data. I investigated the data streams available from many bus companies around the world and found MTA in NYC to be very reliable.

Content

This dataset is from the NYC MTA buses data stream service. In roughly 10 minute increments the bus location, route, bus stop and more is included in each row. The scheduled arrival time from the bus schedule is also included, to give an indication of where the bus should be (how much behind schedule, or on time, or even ahead of schedule).

Acknowledgements

Data is recorded from the MTA SIRI Real Time data feed and the MTA GTFS Schedule data.

Inspiration

I want to see what exploratory & discovery people come up with from this data. Feel free to download this dataset for your own use however I would appreciate as many Kernals included on Kaggle as we can get.

Based on the interest this generates I plan to collect more data for subsequent months down the track.

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

These surveys were conducted to collect data on travel origins and destinations, trip purposes, and travel characteristics of New York City Transit, Metro-North Railroad, and Long Island Rail Road customers with the aim of upgrading the MTA's travel forecasting tools and gaining a better understanding of how people travel. --LIRR origin-destination survey (2012-14) --Metro-North origin-destination survey (2007) --Metro-North origin-destination survey (2017) --MTA New York City travel survey (2008) --MTA New York City travel survey (2018)

This dataset provides the load percentage for each express bus route at its maximum load point (the bus stop where the highest number of passengers are on the bus) by direction, hour, day type (weekday, weekends and holidays), aggregated by week.

A range of indicators for a selection of cities from the New York City Global City database.

Dataset includes the following:

Geography

City Area (km2)

Metro Area (km2)

People

City Population (millions)

Metro Population (millions)

Foreign Born

Annual Population Growth

Economy

GDP Per Capita (thousands $, PPP rates, per resident)

Primary Industry

Secondary Industry

Share of Global 500 Companies (%)

Unemployment Rate

Poverty Rate

Transportation

Public Transportation

Mass Transit Commuters

Major Airports

Major Ports

Education

Students Enrolled in Higher Education

Percent of Population with Higher Education (%)

Higher Education Institutions

Tourism

Total Tourists Annually (millions)

Foreign Tourists Annually (millions)

Domestic Tourists Annually (millions)

Annual Tourism Revenue ($US billions)

Hotel Rooms (thousands)

Health

Infant Mortality (Deaths per 1,000 Births)

Life Expectancy in Years (Male)

Life Expectancy in Years (Female)

Physicians per 100,000 People

Number of Hospitals

Anti-Smoking Legislation

Culture

Number of Museums

Number of Cultural and Arts Organizations

Environment

Green Spaces (km2)

Air Quality

Laws or Regulations to Improve Energy Efficiency

Retrofitted City Vehicle Fleet

Bike Share Program

The City-based Optimization Model for Energy Technologies (COMET-NYC) is an energy system modeling tool developed by the U.S. Environmental Protection Agency. COMET is applied to New York City to support long-term, metropolitan-scale air, climate, and energy planning. Built on the internationally recognized TIMES modeling framework, COMET-NYC identifies the least-cost mix of technologies and fuels required to meet projected energy demands from 2010 to 2055 across NYC’s buildings, transportation, and electricity sectors. COMET-NYC uses a scenario-based optimization approach to simulate the deployment of energy technologies under various assumptions, policies, and constraints. It incorporates local data sources to estimate and calibrate energy consumption and emissions at the borough level. It tracks both greenhouse gases (GHGs) and criteria air pollutants, supporting city-level climate and air quality policy evaluation. The model includes detailed modules for the residential, commercial, industrial, and transportation sectors, accounting for current and future technology costs, fuel types, and efficiency parameters. It uses linear programming to minimize system-wide costs while meeting energy service demands and emissions targets. COMET-NYC supports both retrospective analysis (e.g., calibration to 2010, 2015, and 2020) and future scenario exploration, such as electrification strategies. Two versions of the model are included in this dataset: v15.0.9, which underpinned emissions reduction planning during the 2023–2024 NYC budgeting cycle, and v16.0.1, which includes updated buildings data and improved calibration. The documentation included various appendices for background data to build COMET-NYC. Appendix A through F are included in this dataset. Appendix A provides time slice documentation; Appendix B provides PLUTO 2010 data; Appendix C provides original 2014 building end-use demand splits for NYC; Appendix D provides EIA 2023 building technology data; APPENDIX E provides 2015 NYMTC SEDS population and employment forecasts; and APPENDIX F provides Documentation of Transportation Sector Emission Factors Updates and related input datasets for MOVES model. This dataset is associated with the following publication: Kaplan, O., Z. Carroll, M. Pied, R. Chaffanjon, and K. Vaillancourt. Documentation for application of City-based Optimization Model for Energy Technologies (COMET) to New York City to support metropolitan-scale air, climate, and energy planning. U.S. Environmental Protection Agency, Washington, DC, USA, 2025.

A dataset listing New York cities by population for 2024.

Data extracted from records of tickets on file with NYS DMV. The tickets were issued to motorists for violations of: NYS Vehicle & Traffic Law (VTL), Thruway Rules and Regulations, Tax Law, Transportation Law, Parks and Recreation Regulations, Local New York City Traffic Ordinances, and NYS Penal Law pertaining to the involvement of a motor vehicle in acts of assault, homicide, manslaughter and criminal negligence resulting in injury or death.

Department of Transportation issues Temporary Parking Permit for People with Disabilities within New York City (PPPD- City) for those whose permits have expired while awaiting a recertification decision by Department of Health and Mental Hygiene (DOHMH) for up to three (3) month.

Parking Permits for People with Disabilities (PPPD- City) are issued to people who have a disability that severely and permanently impairs mobility and requires the use of a private automobile for transportation. Non-drivers, such as children with qualifying disabilities, are also eligible for consideration.

Parking Permits for People with Disabilities (PPPD- State) are issued to people who are eligible to obtain a New York State parking permit, and the person has been certified by a physician as having a disability that severely affects the person’s ability to walk for long distances.