London Underground Performance Reports
Transport For Londons's key London Underground performance measures (since May-11).
The key measures of underground performance contained in the Excel spreadsheet are: Total operated kilometres, Total number of lost customer hours (LCH) (all causes), Average excess journey time, and Percentage of scheduled operated.
More indicators are available from the TFL monthly performance data Almanac.
Also available from TFL are a list of tube stations containing passenger entry and exit statistics.
London Underground conducts surveys each year. We count the number of people using our service, where they travel to and from and how long their journeys last.
TFL also monitor performance and assets, measuring how far trains have travelled and how many trains, lifts and escalators are in service.
TFL are committed to providing passengers with details of how well the network is working and regularly publish a performance update. This is updated every four weeks - defined as a period - and gives figures for a range of service and network-related matters.
The following information is provided on the TfL website:
1) A PDF report of the latest periods performance
2) Spreadsheet reports (almanac) of historic performance data dating back to 2002
There are also links to other reports of interest (station entry/exit figures, Tube upgrade plan and Quarterly Investment Programme reports).
This data package is similar to the information previously made available on the Datastore as part of a London Assembly Scrutiny investigation in 2011.
Data and Resources
XLS tfl-tube-performance.xls (203.5 KB)
XLS Entry and exit figures by station (3.0 MB)
XLS LU-Performance data almanac
You can also find further latest and earlier information on Tube performance in the Performance data almanac.
LicenceUK Open Government Licence (OGL v2)
|Smallest Geography||Greater London|
|Update Frequency||Ad hoc|
|Temporal Coverage||01/05/2011 - 10/12/2016|
|Author||Transport for London|
|Maintainer||Opinion Research and General Statistics (GLA) (email@example.com)|
|Created||29th Aug 2014 at 13:00:46|
|Modified||14th Mar 2017 at 08:52:32|