Train Data

Transport for NSW

Train patronage dataset provides Opal Train Trips by month, operator, contract area and card type. An Opal trip is where an Opal card is used to tap-on and tap-off, including where a single tap-on or tap-off is recorded. All other travel is not included.

Peak Train Load Survey 2016 provides estimates of train loads during the AM and PM peak periods - derived from a survey held on Tuesdays, Wednesdays and Thursdays from 1 March 2016 to 17 March 2016. Since the introduction of Opal, this has been replaced by Peak Train Load Estimates from 2017 using the Rail Opal Assignment Model (ROAM).

Peak Train Estimates use data extracted from the Rail Opal Assignment Model (ROAM). This model assigns Opal journeys to services based on the rail daily working timetable and train punctuality data. The customer load is aggregated to train services and assigned to rail lines.

Train station entries and exits dataset is based on the average of three day sample, representing 'a typical day' of customer entries and exits at each train station.

Data and Resources
XLS
Train Data Popular
Train patronage dataset provides Opal Train Trips by month, operator, contract area and card type. An Opal trip is where an Opal card is used to tap-on and...
DATA
Train Patronage Popular
Opal Train Trips by month.
DATA
Opal Trips - Train Popular
Train Utilisation figures.
DATA
Peak Trains Load Survey - March 2016 Popular
Estimates of train loads during the AM and PM peak periods.
DATA
Peak Train Load Estimates Popular
Peak train load estimates use data from the Rail Opal Assignment Model.
DATA
Train Station Entries and Exits Data Popular
Average of a three day sample of entries and exits at each train station.
Additional Information
Field Value
Title Train Data
Date Published 24/05/2013
Last Updated 20/04/2021
Publisher/Agency Transport for NSW
Licence Creative Commons Attribution
Update Frequency Quarterly
Contact Point Transport for NSW
general-feedback@transport.nsw.gov.au
Temporal Coverage From 08/02/2019
Data Portal Data.NSW