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Pay: Milton Keynes

Volume 507: debated on Tuesday 16 March 2010

To ask the Minister of State, Department for Business, Innovation and Skills how much on average (a) men and (b) women in full-time employment in Milton Keynes were paid each week (i) in 1996-97 and (ii) at the latest date for which figures are available (A) in cash terms and (B) at constant prices. (321877)

I have been asked to reply.

The information requested falls within the responsibility of the UK Statistics Authority. I have asked the Authority to reply.

Letter from Stephen Penneck, dated March 2010:

As Director General for the Office for National Statistics, I have been asked to reply to your recent Parliamentary Question asking how much on average (a) men and (b) women in full-time employment in Milton Keynes were paid each week (i) in 1996-97 and (ii) at the latest date for which figures are available (A) in cash terms and (B) at constant prices. (321877)

Average levels of earnings are estimated from the Annual Survey of Hours and Earnings (ASHE), and are provided for all employees on adult rates of pay whose pay for the survey period was not affected by absence. The ASHE, carried out in April each year, is the most comprehensive source of earnings information in the United Kingdom.

I attach a table showing the median gross weekly earnings for male full-time and female full-time employees for the Milton Keynes unitary authority area for the years 1997 and 2009, the earliest and latest periods for which figures are available. The all-items Retail Prices Index for April of each year has been used to calculate the equivalent constant price estimates.

Median gross weekly earnings (£)—for full-time male and female employee jobsa: Milton Keynes 1997 and 2009

1997 cash

1997 at 2009 pricesb

2009

Male Full-time

399

540

578

Female Full-time

*278

377

*441

Notes:

a Full-time employees on adult rates whose pay for the survey pay-period was not affected by absence. As at April of each year.

b Deflated using all items RPI for April of each year

Guide to quality

The Coefficient of Variation (CV) indicates the quality of a figure, the smaller the CV value the higher the quality.

The true value is likely to lie within +/- twice the CV - for example, for an average of 200 with a CV of 5%, we would expect the population average to be within the range 180 to 220.

Key

* CV>5% and<= 10%

Source:

Annual Survey of Hours and Earnings (ASHE), Office for National Statistics. 1997 and 2009