AWE: Whole Economy Real Terms Level (£): Seasonally Adjusted Total Pay

Name: AWE: Whole Economy Real Terms Level (£): Seasonally Adjusted Total Pay
Creator: Nicola White
Published: 2023-03-14T00:00:00.000Z
License: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/

Source dataset: Average weekly earnings time series (EMP)

View other variations of this time series

Contact:
Nicola White

Release date:
14 March 2023
View previous versions

Next release:
18 April 2023

Series ID: A3WX What's this?

Chart

Period	Value

Download this time seriesAWE: Whole Economy Real Terms Level (£): Seasonally Adjusted Total Pay

Download full time series as:

Image .csv .xls

image .csv .xls

Table

Period	Value
2000	426
2001	442
2002	449
2003	457
2004	470
2005	482
2006	493
2007	505
2008	505
2009	494
2010	494
2011	487
2012	481
2013	475
2014	474
2015	483
2016	490
2017	489
2018	492
2019	500
2020	503
2021	520
2022	512
2000 Q1	418
2000 Q2	425
2000 Q3	430
2000 Q4	434
2001 Q1	438
2001 Q2	441
2001 Q3	442
2001 Q4	446
2002 Q1	444
2002 Q2	450
2002 Q3	451
2002 Q4	451
2003 Q1	451
2003 Q2	456
2003 Q3	459
2003 Q4	463
2004 Q1	462
2004 Q2	469
2004 Q3	473
2004 Q4	477
2005 Q1	476
2005 Q2	480
2005 Q3	485
2005 Q4	487
2006 Q1	489
2006 Q2	492
2006 Q3	492
2006 Q4	497
2007 Q1	504
2007 Q2	502
2007 Q3	507
2007 Q4	506
2008 Q1	513
2008 Q2	505
2008 Q3	500
2008 Q4	501
2009 Q1	484
2009 Q2	501
2009 Q3	496
2009 Q4	497
2010 Q1	495
2010 Q2	494
2010 Q3	494
2010 Q4	492
2011 Q1	492
2011 Q2	488
2011 Q3	485
2011 Q4	482
2012 Q1	480
2012 Q2	483
2012 Q3	482
2012 Q4	478
2013 Q1	472
2013 Q2	481
2013 Q3	475
2013 Q4	473
2014 Q1	472
2014 Q2	473
2014 Q3	472
2014 Q4	478
2015 Q1	481
2015 Q2	482
2015 Q3	484
2015 Q4	485
2016 Q1	488
2016 Q2	491
2016 Q3	490
2016 Q4	489
2017 Q1	488
2017 Q2	489
2017 Q3	489
2017 Q4	488
2018 Q1	490
2018 Q2	489
2018 Q3	493
2018 Q4	495
2019 Q1	496
2019 Q2	499
2019 Q3	502
2019 Q4	501
2020 Q1	500
2020 Q2	488
2020 Q3	505
2020 Q4	521
2021 Q1	517
2021 Q2	523
2021 Q3	522
2021 Q4	521
2022 Q1	523
2022 Q2	510
2022 Q3	509
2022 Q4	505
2000 JAN	421
2000 FEB	410
2000 MAR	422
2000 APR	423
2000 MAY	426
2000 JUN	425
2000 JUL	428
2000 AUG	430
2000 SEP	431
2000 OCT	431
2000 NOV	433
2000 DEC	438
2001 JAN	439
2001 FEB	439
2001 MAR	437
2001 APR	442
2001 MAY	439
2001 JUN	441
2001 JUL	441
2001 AUG	443
2001 SEP	443
2001 OCT	445
2001 NOV	446
2001 DEC	447
2002 JAN	447
2002 FEB	443
2002 MAR	443
2002 APR	448
2002 MAY	450
2002 JUN	452
2002 JUL	452
2002 AUG	451
2002 SEP	451
2002 OCT	451
2002 NOV	452
2002 DEC	451
2003 JAN	452
2003 FEB	446
2003 MAR	454
2003 APR	455
2003 MAY	456
2003 JUN	457
2003 JUL	458
2003 AUG	459
2003 SEP	461
2003 OCT	463
2003 NOV	462
2003 DEC	463
2004 JAN	465
2004 FEB	456
2004 MAR	466
2004 APR	469
2004 MAY	469
2004 JUN	470
2004 JUL	472
2004 AUG	473
2004 SEP	475
2004 OCT	477
2004 NOV	477
2004 DEC	477
2005 JAN	478
2005 FEB	473
2005 MAR	477
2005 APR	479
2005 MAY	481
2005 JUN	481
2005 JUL	483
2005 AUG	486
2005 SEP	486
2005 OCT	486
2005 NOV	488
2005 DEC	487
2006 JAN	485
2006 FEB	491
2006 MAR	491
2006 APR	491
2006 MAY	491
2006 JUN	495
2006 JUL	493
2006 AUG	491
2006 SEP	492
2006 OCT	495
2006 NOV	496
2006 DEC	500
2007 JAN	503
2007 FEB	513
2007 MAR	496
2007 APR	499
2007 MAY	502
2007 JUN	504
2007 JUL	506
2007 AUG	507
2007 SEP	509
2007 OCT	506
2007 NOV	508
2007 DEC	503
2008 JAN	511
2008 FEB	522
2008 MAR	507
2008 APR	506
2008 MAY	507
2008 JUN	502
2008 JUL	502
2008 AUG	501
2008 SEP	498
2008 OCT	501
2008 NOV	500
2008 DEC	501
2009 JAN	490
2009 FEB	479
2009 MAR	482
2009 APR	505
2009 MAY	501
2009 JUN	498
2009 JUL	496
2009 AUG	496
2009 SEP	497
2009 OCT	496
2009 NOV	497
2009 DEC	497
2010 JAN	486
2010 FEB	498
2010 MAR	500
2010 APR	494
2010 MAY	495
2010 JUN	494
2010 JUL	493
2010 AUG	494
2010 SEP	496
2010 OCT	494
2010 NOV	494
2010 DEC	489
2011 JAN	493
2011 FEB	490
2011 MAR	493
2011 APR	487
2011 MAY	487
2011 JUN	490
2011 JUL	488
2011 AUG	484
2011 SEP	482
2011 OCT	483
2011 NOV	483
2011 DEC	481
2012 JAN	480
2012 FEB	480
2012 MAR	481
2012 APR	483
2012 MAY	483
2012 JUN	484
2012 JUL	483
2012 AUG	483
2012 SEP	481
2012 OCT	478
2012 NOV	479
2012 DEC	476
2013 JAN	475
2013 FEB	475
2013 MAR	467
2013 APR	487
2013 MAY	479
2013 JUN	477
2013 JUL	475
2013 AUG	475
2013 SEP	474
2013 OCT	473
2013 NOV	473
2013 DEC	473
2014 JAN	474
2014 FEB	477
2014 MAR	465
2014 APR	473
2014 MAY	473
2014 JUN	472
2014 JUL	470
2014 AUG	471
2014 SEP	474
2014 OCT	476
2014 NOV	477
2014 DEC	481
2015 JAN	479
2015 FEB	482
2015 MAR	482
2015 APR	483
2015 MAY	483
2015 JUN	481
2015 JUL	484
2015 AUG	484
2015 SEP	483
2015 OCT	484
2015 NOV	484
2015 DEC	487
2016 JAN	488
2016 FEB	486
2016 MAR	490
2016 APR	492
2016 MAY	491
2016 JUN	490
2016 JUL	492
2016 AUG	490
2016 SEP	489
2016 OCT	490
2016 NOV	491
2016 DEC	487
2017 JAN	487
2017 FEB	488
2017 MAR	489
2017 APR	488
2017 MAY	488
2017 JUN	492
2017 JUL	487
2017 AUG	489
2017 SEP	490
2017 OCT	488
2017 NOV	488
2017 DEC	489
2018 JAN	487
2018 FEB	489
2018 MAR	493
2018 APR	488
2018 MAY	489
2018 JUN	491
2018 JUL	492
2018 AUG	493
2018 SEP	493
2018 OCT	497
2018 NOV	493
2018 DEC	495
2019 JAN	496
2019 FEB	497
2019 MAR	496
2019 APR	497
2019 MAY	499
2019 JUN	500
2019 JUL	502
2019 AUG	500
2019 SEP	505
2019 OCT	502
2019 NOV	501
2019 DEC	501
2020 JAN	502
2020 FEB	502
2020 MAR	495
2020 APR	487
2020 MAY	488
2020 JUN	489
2020 JUL	496
2020 AUG	508
2020 SEP	511
2020 OCT	517
2020 NOV	525
2020 DEC	521
2021 JAN	521
2021 FEB	519
2021 MAR	510
2021 APR	525
2021 MAY	523
2021 JUN	520
2021 JUL	523
2021 AUG	522
2021 SEP	521
2021 OCT	521
2021 NOV	516
2021 DEC	525
2022 JAN	520
2022 FEB	520
2022 MAR	528
2022 APR	512
2022 MAY	507
2022 JUN	511
2022 JUL	509
2022 AUG	509
2022 SEP	508
2022 OCT	506
2022 NOV	506
2022 DEC	504
2023 JAN	502

Related time series

View and download all related time series

Variations of this time series in other datasets

A3WX: Labour market statistics time series (LMS), released on 14 March 2023
A3WX: Average weekly earnings time series (EMP), released on 14 March 2023

Publications that use this data

Average weekly earnings in Great Britain: March 2023

Contact details for this data

Nicola White
earnings@ons.gov.uk
Telephone : +44 1633 456120

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