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National Minimum Wage

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<strong>National</strong> <strong>Minimum</strong> <strong>Wage</strong><br />

5 The ASHE 2011 dataset published in November continued to use the old occupation codes<br />

(SOC 2000). ONS is currently recoding ASHE 2011 to SOC 2010. The reworked results will<br />

be published in March 2012. When this has occurred, we will use the re-released data to<br />

assess how the changes to occupational codes affect our definitions of low-paying<br />

occupations. This review will be similar to the re-assessment of the definitions of low-paying<br />

industries we undertook when the Standard Industrial Classification (SIC) changed. That<br />

review was reported in Appendix 4 of our 2010 Report. We will present the results of this<br />

occupational review in our 2013 Report.<br />

Average Weekly Earnings<br />

6 AWE is a short-term measure of the level of average weekly earnings per job in Great Britain<br />

which is based on data from the Monthly <strong>Wage</strong>s and Salary Survey. It is available monthly,<br />

showing regular pay, bonus pay and total pay. AWE uses current industry weights that are<br />

updated each month to take account of the distribution of jobs across sectors. ONS also<br />

produces a decomposition of the growth rates to show how much growth is due to wage<br />

growth, and how much is a result of changes in employment across the sectors. Other than<br />

the standard regular revisions as new information and weighting become available, these<br />

data have not changed this year.<br />

Earnings from <strong>National</strong> Accounts<br />

7 In addition to the main earnings datasets detailed above, we also look at the compensation of<br />

employees series from the <strong>National</strong> Accounts, and in particular its wages and salaries<br />

component. Compensation of employees includes: wages and salaries; employers’ pension<br />

and <strong>National</strong> Insurance contributions; bonuses; and benefits-in-kind. Annual estimates for<br />

compensation of employees are based on HMRC pay data, and AWE data are used to<br />

extrapolate quarterly figures.<br />

Labour Force Survey<br />

8 The LFS is the official data source used to measure employment and unemployment. It is a<br />

quarterly survey of around 45,000 UK households conducted on a rolling monthly basis and<br />

provides information on employment, unemployment, earnings, and personal and socioeconomic<br />

characteristics including gender, ethnicity and disability.<br />

9 In our report, analyses of aggregate employment, unemployment and hours worked use<br />

seasonally adjusted monthly and quarterly LFS data published by ONS. For detailed analyses<br />

of the labour market by age, ethnicity, disability and other personal characteristics, we use<br />

the non-seasonally adjusted quarterly LFS Microdata. Our initial outputs from the LFS<br />

Microdata are consistent with the non-seasonally adjusted aggregate data on the ONS<br />

website. We often use the four-quarter moving average of these outputs to take account of<br />

seasonality. Consequently our analyses based on LFS Microdata produce estimates of levels<br />

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