Public performance measure (PPM) by sector - Table 3.43
Percentage of passenger trains arriving on time¹.
Great Britain
Annual data (financial year): 1997-98 to 2017-18
Quarterly data (financial year): 1997-98 Quarter 1 to 2018-19 Quarter 3 (p)
Financial year
Long-distance operator
London & South East operators
total (inc peak)
London & South East operators
peak
Regional and Scotland
operators ²
1997-98
81.7%
89.5%
:
90.8%
1998-99
80.6%
87.9%
:
88.6%
1999-00
83.7%
87.1%
:
89.1%
2000-01
69.1%
77.6%
:
81.7%
2001-02
70.2%
77.8%
:
79.1%
2002-03
70.6%
78.9%
:
80.5%
2003-04
73.4%
80.4%
:
82.9%
2004-05
79.2%
84.8%
:
82.6%
2005-06
82.2%
87.9%
:
85.0%
2006-07
84.9%
88.8%
:
87.6%
2007-08
86.2%
90.6%
:
89.6%
2008-09
87.2%
91.0%
:
90.6%
2009-10
88.7%
91.5%
:
92.0%
2010-11
87.7%
91.1%
86.9%
91.1%
2011-12
89.1%
91.7%
88.1%
92.0%
2012-13
87.0%
91.0%
86.9%
91.6%
2013-14
86.9%
89.6%
85.0%
91.1%
2014-15
87.4%
89.0%
83.5%
91.3%
2015-16
87.6%
87.8%
82.2%
91.2%
2016-17
87.6%
85.2%
80.3%
91.3%
2017-18
85.3%
86.9%
82.1%
89.7%
All
non-franchised operators
:
:
:
:
:
:
:
90.4%
88.9%
89.7%
88.4%
92.3%
94.2%
93.1%
93.4%
91.5%
91.8%
91.8%
90.8%
88.7%
89.0%
All
operators
All operators
PPM MAA
89.8%
:
87.9%
:
87.8%
:
79.1%
:
78.0%
:
79.2%
:
81.2%
:
83.6%
:
86.4%
:
88.1%
:
89.9%
:
90.6%
:
91.5%
:
90.8%
:
91.6%
:
90.9%
:
90.0%
:
89.7%
:
89.1%
:
87.7%
:
87.8%
:
Financial quarter
Long-distance operator
London & South East operators
total (inc peak)
London & South East operators
peak
Regional and Scotland
operators ²
1997-98 Quarter 1
84.5%
91.7%
:
92.5%
All
non-franchised operators
:
All
operators
All operators
PPM MAA
91.8%
:
1997-98 Quarter 2
82.0%
90.4%
:
90.9%
1997-98 Quarter 3
78.3%
85.0%
:
88.2%
1997-98 Quarter 4
81.8%
91.1%
:
91.5%
1998-99 Quarter 1
81.3%
90.1%
:
90.4%
1998-99 Quarter 2
81.7%
89.3%
:
88.8%
1998-99 Quarter 3
76.5%
82.4%
:
84.8%
1998-99 Quarter 4
82.8%
89.8%
:
90.4%
1999-00 Quarter 1
85.0%
91.0%
:
91.5%
1999-00 Quarter 2
84.0%
89.4%
:
90.2%
1999-00 Quarter 3
80.0%
79.9%
:
84.3%
1999-00 Quarter 4
86.1%
88.1%
:
90.2%
2000-01 Quarter 1
84.1%
87.8%
:
89.4%
2000-01 Quarter 2
79.2%
86.0%
:
86.7%
2000-01 Quarter 3
49.1%
60.9%
:
71.4%
2000-01 Quarter 4
59.9%
75.2%
:
78.8%
2001-02 Quarter 1
65.6%
81.5%
:
81.5%
2001-02 Quarter 2
70.8%
79.1%
:
79.6%
2001-02 Quarter 3
68.5%
69.8%
:
74.4%
2001-02 Quarter 4
75.7%
80.8%
:
81.1%
2002-03 Quarter 1
76.1%
82.9%
:
83.6%
2002-03 Quarter 2
72.1%
81.7%
:
80.1%
2002-03 Quarter 3
61.4%
71.9%
:
75.1%
2002-03 Quarter 4
73.1%
79.1%
:
83.1%
2003-04 Quarter 1
74.5%
83.8%
:
85.7%
2003-04 Quarter 2
66.8%
79.5%
:
83.6%
2003-04 Quarter 3
72.3%
76.7%
:
77.8%
2003-04 Quarter 4
80.3%
81.9%
:
84.4%
2004-05 Quarter 1
81.0%
84.6%
:
84.9%
2004-05 Quarter 2
78.8%
84.4%
:
82.2%
2004-05 Quarter 3
75.7%
82.4%
:
78.8%
2004-05 Quarter 4
81.5%
87.8%
:
84.5%
2005-06 Quarter 1
81.7%
89.1%
:
86.1%
2005-06 Quarter 2
82.6%
88.5%
:
85.5%
2005-06 Quarter 3
78.0%
83.8%
:
79.6%
2005-06 Quarter 4
86.6%
90.3%
:
88.6%
:
:
:
:
:
:
:
:
:
:
:
:
:
:
:
:
:
:
:
:
:
:
:
:
:
91.9%
90.1%
90.1%
89.2%
90.7%
91.8%
90.0%
87.5%
90.0%
88.0%
90.3%
:
86.2%
:
90.9%
89.8%
89.9%
89.3%
88.8%
88.9%
83.3%
88.2%
89.8%
87.9%
91.0%
88.2%
89.5%
88.4%
81.9%
88.0%
89.0%
87.8%
88.4%
87.2%
86.0%
86.3%
65.1%
82.3%
76.2%
79.1%
80.8%
77.2%
78.9%
75.4%
71.8%
76.9%
80.7%
78.0%
82.9%
78.5%
80.5%
78.9%
72.7%
79.2%
80.6%
79.2%
84.2%
79.6%
80.7%
79.6%
77.0%
80.6%
82.9%
81.2%
84.6%
81.3%
83.2%
81.9%
80.6%
82.8%
86.1%
83.6%
87.5%
84.3%
86.9%
85.3%
81.7%
85.6%
89.4%
86.4%
2006-07 Quarter 1
87.7%
91.2%
:
89.2%
2006-07 Quarter 2
84.1%
89.8%
:
88.0%
2006-07 Quarter 3
83.0%
85.5%
:
84.6%
2006-07 Quarter 4
85.0%
88.8%
:
88.7%
2007-08 Quarter 1
86.7%
91.8%
:
90.4%
2007-08 Quarter 2
85.9%
91.5%
:
90.4%
2007-08 Quarter 3
85.1%
87.5%
:
86.9%
2007-08 Quarter 4
87.0%
91.6%
:
90.5%
2008-09 Quarter 1
88.1%
92.4%
:
92.5%
2008-09 Quarter 2
87.6%
92.9%
:
91.4%
2008-09 Quarter 3
85.5%
89.3%
:
87.0%
2008-09 Quarter 4
87.7%
89.6%
:
91.5%
2009-10 Quarter 1
89.6%
93.8%
:
93.4%
2009-10 Quarter 2
91.0%
93.6%
:
93.5%
2009-10 Quarter 3
86.2%
88.6%
:
89.0%
2009-10 Quarter 4
88.1%
90.0%
:
91.8%
2010-11 Quarter 1
90.7%
93.6%
91.0%
94.0%
2010-11 Quarter 2
90.5%
93.4%
91.0%
93.9%
2010-11 Quarter 3
81.1%
85.9%
78.6%
85.2%
2010-11 Quarter 4
88.5%
91.4%
86.8%
91.1%
2011-12 Quarter 1
90.0%
93.5%
91.0%
93.2%
2011-12 Quarter 2
89.3%
92.3%
90.2%
92.7%
2011-12 Quarter 3
86.7%
89.8%
84.4%
89.0%
2011-12 Quarter 4
90.2%
91.3%
86.8%
93.2%
2012-13 Quarter 1
89.6%
92.5%
89.6%
94.0%
2012-13 Quarter 2
90.0%
93.3%
91.4%
92.6%
2012-13 Quarter 3
83.6%
88.6%
83.2%
88.4%
2012-13 Quarter 4
84.8%
89.6%
83.2%
91.4%
2013-14 Quarter 1
90.2%
93.2%
91.2%
93.3%
2013-14 Quarter 2
87.8%
92.2%
89.8%
91.8%
2013-14 Quarter 3
83.1%
85.5%
77.6%
87.0%
2013-14 Quarter 4
86.2%
87.5%
81.0%
92.2%
2014-15 Quarter 1
89.5%
91.2%
87.8%
93.6%
2014-15 Quarter 2
87.4%
90.5%
86.7%
91.2%
2014-15 Quarter 3
83.2%
85.7%
77.8%
88.1%
88.7%
89.9%
90.8%
89.4%
88.8%
91.2%
85.9%
87.8%
91.4%
93.3%
92.7%
91.8%
93.9%
94.5%
93.9%
94.7%
93.1%
94.2%
91.4%
93.8%
93.6%
92.7%
93.4%
94.0%
94.1%
93.7%
88.6%
89.4%
93.1%
92.4%
88.8%
92.8%
93.1%
93.5%
88.7%
90.2%
87.1%
88.7%
87.5%
85.0%
88.3%
88.5%
88.1%
90.9%
88.3%
90.7%
88.8%
87.1%
89.3%
90.8%
89.9%
92.1%
90.2%
91.9%
90.5%
88.1%
90.7%
90.2%
90.6%
93.3%
90.9%
93.3%
91.3%
88.5%
91.4%
90.5%
91.5%
93.5%
91.5%
93.4%
91.5%
85.2%
90.7%
91.1%
90.8%
93.1%
90.8%
92.2%
90.5%
89.3%
91.4%
91.9%
91.6%
92.8%
91.6%
92.8%
91.7%
88.1%
91.4%
89.9%
90.9%
93.0%
91.0%
91.7%
90.7%
85.9%
90.2%
89.1%
90.0%
92.0%
89.7%
90.5%
89.4%
86.4%
89.5%
2014-15 Quarter 4
89.4%
88.5%
81.6%
92.3%
2015-16 Quarter 1
89.9%
90.2%
85.7%
93.4%
2015-16 Quarter 2
88.9%
89.2%
85.6%
92.2%
2015-16 Quarter 3
83.2%
84.5%
76.9%
87.2%
2015-16 Quarter 4
88.4%
87.3%
80.7%
91.9%
2016-17 Quarter 1
89.2%
86.8%
83.1%
92.8%
2016-17 Quarter 2
87.8%
85.5%
82.1%
91.8%
2016-17 Quarter 3
84.2%
81.8%
74.5%
88.0%
2016-17 Quarter 4
89.2%
86.7%
81.2%
92.6%
2017-18 Quarter 1
88.7%
89.6%
86.9%
92.6%
2017-18 Quarter 2
88.7%
88.0%
85.0%
91.8%
2017-18 Quarter 3
81.5%
84.5%
78.1%
85.4%
2017-18 Quarter 4
82.1%
85.4%
78.3%
88.8%
2018-19 Quarter 1
81.1%
87.5%
83.1%
87.3%
2018-19 Quarter 2
78.0%
86.5%
81.2%
85.8%
2018-19 Quarter 3
78.9%
85.1%
76.6%
82.2%
92.0%
92.5%
91.5%
87.7%
91.4%
88.9%
90.2%
87.7%
87.7%
89.7%
91.5%
87.3%
87.2%
86.1%
90.0%
87.0%
89.9%
89.7%
91.4%
89.6%
90.3%
89.5%
85.4%
89.3%
89.1%
89.1%
89.2%
88.5%
88.0%
87.9%
84.3%
87.7%
89.1%
87.7%
90.7%
88.0%
89.5%
88.4%
84.6%
88.5%
86.4%
87.8%
87.0%
86.9%
85.6%
85.9%
83.6%
85.6%
Source:
Network Rail
Symbols:
(:) Data not available
(r)  Data revised
(p) Data are provisional
(b) Break in time series
Revisions
For the latest information on data revisions, please see the revisions log: http://orr.gov.uk/statistics/code-of-practice/revisions-log
Notes:
¹ On time is defined as arriving at the final destination within five minutes of the planned timetable for London and South East, Regional and Scotland operators, or within ten minutes for the Long Distance operators. A higher score is better. The moving annual average (MAA) reflects the proportion of trains on time in the past 12 months. Train services arriving into London termini between 07:00 and 09:59 in the morning and departing London termini between 16:00 and 18:59 in the evening are classified as peak services.
² Caledonian Sleeper services are not included in the sector calculations.
More details on methodology can be found in the quality report relating to this dataset: http://orr.gov.uk/statistics/published-stats/statistical-releases
 
This dataset is used in the passenger and freight rail performance statistical release. To view or download the statistical release:
http://orr.gov.uk/statistics/published-stats/statistical-releases