Table of contents
1. Introduction
This note presents 2 analyses of the average weekly earnings (AWE) figures, which are published in the UK Labour Market statistical bulletin. We will update these analyses every month. The first section describes real AWE, which is AWE deflated by the Consumer Price Index. The second section analyses single month movements in the nominal AWE.
Back to table of contents2. Real AWE
The figures show the recent movements in real AWE (whole economy). This is calculated as nominal unadjusted AWE, divided by the Consumer Price Index (CPI). This series is calculated for regular and total pay at the whole economy level and then seasonally adjusted. The data in Figures 1 and 2 are levels of real and nominal AWE, shown on a monthly basis, with an index of 2000 = 100. Figure 3 shows the increases in these derived indices for the latest 3 months compared to the same 3 months in the previous year. The data are available in dataset EARN01, together with estimates of real AWE at 2000 prices.
Comparing the 3 months to May 2016 with the same period in 2015, real AWE (total pay) grew by 1.9%, 0.3 percentage points higher than that seen in the 3 months to April. Nominal AWE (total pay) grew by 2.3% in the 3 months to May, while the CPI increased by 0.3% in the year to May 2016. Over the same period, real AWE (regular pay) grew by 1.8%, compared with 1.9% in the 3 months to April. The nominal AWE (regular pay) rose by 2.2% in the 3 months to May.
Figure 1: Average weekly earnings (AWE) regular pay, real and nominal, seasonally adjusted, 2000=100
January 2000 to May 2016, GB
Source: Office for National Statistics, Monthly Wages and Salaries Survey (MWSS)
Notes:
- p = provisional
- r = revised
Download this chart Figure 1: Average weekly earnings (AWE) regular pay, real and nominal, seasonally adjusted, 2000=100
Image .csv .xls
Figure 2: Average weekly earnings (AWE) total pay, real and nominal, seasonally adjusted, 2000=100
January 2000 to May 2016, GB
Source: Office for National Statistics, Monthly Wages and Salaries Survey (MWSS)
Notes:
- p = provisional
- r = revised
Download this chart Figure 2: Average weekly earnings (AWE) total pay, real and nominal, seasonally adjusted, 2000=100
Image .csv .xls
Figure 3: Average weekly earnings (AWE) total and regular real pay annual growth rates, seasonally adjusted
January to March 2001 to March to May 2016 (3 month average time periods), GB
Source: Office for National Statistics, Monthly Wages and Salaries Survey (MWSS)
Notes:
- p = provisional
- r = revised
Download this chart Figure 3: Average weekly earnings (AWE) total and regular real pay annual growth rates, seasonally adjusted
Image .csv .xls3. Contributions to nominal AWE – single month
The wages and employment contributions underlying the latest AWE data are available on our website in the EARN02 dataset each month. The "employment contribution", shown in these charts, changes if the relative proportion of employment in the 24 industrial headings changes, but will not necessarily change if total employment increases. Employment contributions were significantly negative in 2009 and 2010, largely caused by a shift away from employment in financial and insurance activities, which are relatively highly paid industries.
Figures 4 and 5 summarise the recent figures.
Figure 4: Average weekly earnings (AWE) total pay by contributions
January 2001 to May 2016, GB
Source: Office for National Statistics, Monthly Wages and Salaries Survey (MWSS)
Notes:
- p = provisional
- r = revised
Download this chart Figure 4: Average weekly earnings (AWE) total pay by contributions
Image .csv .xls
Figure 5: Average weekly earnings (AWE) regular pay by contributions
January 2001 to May 2016, GB
Source: Office for National Statistics, Monthly Wages and Salaries Survey (MWSS)
Notes:
- p = provisional
- r = revised
Download this chart Figure 5: Average weekly earnings (AWE) regular pay by contributions
Image .csv .xlsEmployment contributions were 0.1 for both total pay and regular pay in May 2016.
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