United Kingdom

Pay inequalities

Key points

  • Although there is still a gap between low paid male and female earnings for full-time employees, this gap has narrowed over the last decade.
  • Both high paid men and women have moved ahead relative to male median earnings over the last decade.
  • Almost half of all part-time workers - both men and women - were paid less than £7 per hour in 2007.  While women predominate in part-time employment, the equality in the low pay risks here suggests that the fundamental problem is the lowly status of part-time work per se, rather than any disadvantage that part-time female employees face relative to part-time male ones.
  • By contrast, the proportion of full-time female employees paid less than £7 an hour in 2007 was, at 18%, markedly higher than the 12% of full-time male employees.  Thus, while there are as many low paid full-time men as there are low-paid full-time women (see the indicator on trends in low pay), the difference in these low pay risks suggests that the fundamental problem here remains one of the disadvantages faced by full-time female employees compared with full-time male ones.
  • Pay inequalities are greater in London and the South East than elsewhere.

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Graph 1: Over time

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Graph 2: By gender

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Graph 3: By region

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Why this indicator was originally chosen

In monitoring trends in low pay, its relationship with both average and high pay is also relevant.

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Definitions and data sources

The first graph focuses on pay differentials.  It shows four statistics:

  • Gross hourly pay of full-time male employees at the 10th percentile, i.e. the pay of men one tenth of the way from the bottom of the male pay distribution.

  • Gross hourly pay of full-time female employees at the 10th percentile, i.e. the pay of women one tenth of the way from the bottom of the female pay distribution.

  • Gross hourly pay of full-time male employees at the 90th percentile, i.e. the pay of men one tenth of the way from the top of the male pay distribution.

  • Gross hourly pay of full-time female employees at the 90th percentile, i.e. the pay of women one tenth of the way from the top of the female pay distribution.

In each case, the statistics are shown as a proportion of average (median) hourly pay of full-time male employees thus providing a measure of earnings inequalities.  The left-hand axis shows proportions at the 10th percentile and the right hand axis shows the proportion at the 90th percentile.

The second graph shows, for the latest year, the distribution of employees across the pay spectrum with the data show separately for part-time women, part-time men, full-time women and full-time men.

The third graph shows, for the latest year, how the ratio between the hourly earnings at the 90th percentile and the hourly earnings at the 10th percentile varies by region.

The data source for all the graphs is the Annual Survey of Hours and Earnings (ASHE) and the data relates to the United Kingdom.  Some detailed changes were made to the ASHE survey base in 2004 and an adjustment has been made for this in the first graph.  The proportions in the second graph have been calculated from the hourly rates at each decile using interpolation to estimate the consequent proportion earning in each of the pay groups.

Overall adequacy of the indicator: high.  ASHE is a large annual survey of employers.

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External links

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Relevant 2007 Public Service Agreements

None directly relevant.

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Relevant government policies

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The numbers

Graph 1

As a percentage of full-time male median earnings

Year

Men Women
10th Percentile 90th Percentile 10th Percentile 90th Percentile
1997 54% 209% 47% 166%
1998 54% 211% 48% 166%
1999 55% 212% 48% 169%
2000 55% 213% 49% 169%
2001 55% 218% 49% 170%
2002 55% 220% 49% 172%
2003 55% 219% 50% 173%
2004 55% 217% 50% 172%
2005 55% 219% 50% 177%
2006 55% 220% 51% 175%
200756% 221% 51% 175%

Graph 2

Pay group

Men Women
Full-time Part-time Full-time Part-time
< £7 per hour 13% 48% 18% 46%
£7 to £10 per hour 24% 19% 28% 27%
£10+ per hour 63% 33% 54% 27%

Graph 3

East 401%
East Midlands 357%
London 426%
North East 322%
North West 354%
Northern Ireland 340%
Scotland 349%
South East 418%
South West 353%
Wales 338%
West Midlands 348%
Yorkshire and The Humber 341%

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