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).

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.

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 indicator shows the number of wheelchair ramp or lift deployments on buses each month.

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

Bus Speeds measure how quickly buses travel along their routes. This dataset covers data between 2015 and 2019. For data from 2020 on, use https://data.ny.gov/Transportation/MTA-Bus-Speeds-Beginning-2020/6ksi-7cxr.

This dataset reflects the monthly number of units vandalized for select elements of the subway and bus system.

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.

Weekday Pull Out Performance is a monthly legacy service performance metric that indicates the percent of required buses and operators available in the AM and PM peak periods.

Mean Distance Between Failures reports how frequently bus mechanical problems cause delays.

Wait Assessment measures how evenly buses are spaced. This dataset covers data from 2020 and on. For data between 2015 and 2019, use dataset https://data.ny.gov/Transportation/MTA-Bus-Wait-Assessment-2015-2019/bmix-dpzc.

Wait Assessment measures how evenly buses are spaced. This dataset covers data between 2015 and 2019. For data from 2020 on, use https://data.ny.gov/Transportation/MTA-Bus-Wait-Assessment-Beginning-2020/swky-c3v4.

Service Delivered measures the percentage of scheduled buses that are actually provided during peak hours. This dataset covers data between 2015 and 2019. For data from 2020 on, use https://data.ny.gov/Transportation/MTA-Bus-Service-Delivered-Beginning-2020/2e6s-9gpm.

The number of reportable job-related incidents that result in the inability of an employee to perform full job duties for at least one working day beyond the day of the incident, as well as a breakdown of the number of Employees and Lost Time Accident Rates.

Mean Distance Between Service Interruptions is the average distance traveled by a bus between all delays and/or inconveniences to customers.

Bus Speeds measure how quickly buses travel along their routes. This dataset covers data from 2020 and on. For data between 2015 and 2019, use dataset https://data.ny.gov/Transportation/MTA-Bus-Speeds-2015-2019/cudb-vcni.

Service Delivered measures the percentage of scheduled buses that are actually provided during peak hours. This dataset covers data from 2020 and on. For data between 2015 and 2019, use dataset https://data.ny.gov/Transportation/MTA-Bus-Service-Delivered-2015-2019/tw28-zvtk.

The bus fare evasion (BFE) rate is the estimated percentage of riders who illegally board buses. It is calculated systemwide quarterly using Automated Passenger Counters. Rates are calculated and reported separately for Local/Limited, Express and Select Bus Service. Prior to Q1 2020, fare evasion was estimated using surveys conducted by traffic checkers.

This deprecated 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, and provides a percentage comparison against a comparable pre-pandemic date.

Next-day estimates for daily ridership, without the pre-pandemic comparison, are now provided at https://data.ny.gov/d/sayj-mze2

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 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 information on the implementation dates of Automated Bus Lane Enforcement (ABLE) and Automated Camera Enforcement (ACE) systems across MTA bus routes. ABLE, launched as a pilot in 2019, and later expanded and rebranded as ACE in 2024, uses cameras mounted on buses to capture vehicles obstructing bus lanes, double parked, or parked illegally at bus stops.

This dataset is a list of MTA bus routes that intersect with the CBD, and how each route relates to the CBD (whether it crosses the CBD or is entirely in the CBD). It is meant to be a dimension table that can easily be used with other bus route-level datasets so that data users can easily distinguish between routes serving the CBD and routes that do not.

Additional Bus Stop Time is the average time that customers spend waiting at a stop beyond their scheduled wait time.

Additional Travel Time is the average time customers spend onboard a bus beyond their scheduled travel time.

Customer Journey Time Performance is the percentage of customers whose journeys are completed within 5 minutes of their scheduled time.

This dataset covers data from 2020 and on. For data between 2017 and 2019, use dataset https://data.ny.gov/Transportation/MTA-Bus-Customer-Journey-Focused-Metrics-2017-2019/8mkn-d32t.

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