MTA Data Analytics

Analyze the MTA's open data by navigating to the pages on the left

-Station Stats shows weekly ridership for every subway station, as well as stats around OMNY adoption, ridership, and transfers

-Labor Expenses Per Agency shows the breakdown of actual labor expenses with different levels of granularity

-Transport Type shows the weekly ridership of various MTA transport types, compared to total weekly precipitation

-Bond Information provides stats on the six bonds the MTA has listed as having Debt Service Expenses

-Borough Analysis shows a breakdown of payments by fare class by borough on weekdays and weekends

-Agency Forecasting Analysis shows how well the MTA forcasted their actual 2023 expenses from 2019-2022 at different levels of granularity

Datasets used for Analysis

The following datasets are used to power the analysis:

MTA Hourly Subway

MTA Daily Ridership

MTA Statement of Operations

Additional, weather data was obtained for free without an API key using Open Mateo

Accessing the Code

All code to power this application and the data pipelines backing it can be accessed at the open mtastats Github repo