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23 Oct 2006 : Column 1640Wcontinued
Gross weekly (constant price £) pay for employee jobs( a) by place of work | ||||||||
Gateshead | ||||||||
Median | Mean | |||||||
Full-time | Part-time | Full-time | Part-time | |||||
Male | Female | Male | Female | Male | Female | Male | Female | |
a. Employees on adult rates whose pay for the survey pay-period was not affected by absence. b. In 2004 additional supplementary surveys were introduced to improve the coverage of the Annual Survey of Hours and Earnings. Figures are presented both excluding and including the additional surveys for comparison purposes. 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 CVfor example, for an average of 200 with a CV of 5 per cent., we would expect the population average to be within the range 180 to 220. Key: CV <= 5 per cent. * CV > 5 per cent. and <= 10 per cent. ** CV > 10 per cent. and <= 20 per cent. x CV > 20 per cent. The median replaces the mean as the headline statistic. The weighted mean is the sum of the weighted values divided by the sum of the weights. The median is the value below which 50 per cent. of employees fall. It is preferred over the mean for earnings data as it is influenced less by extreme values and because of the skewed distribution of earnings data. Note: Constant price terms have been uprated using the Retail Prices Index (RPI), re-based at April 2005. Source: Annual Survey of Hours and Earnings, Office for National Statistics. |
Mr. Drew: To ask Mr Chancellor of the Exchequer what the (a) average wage for (i) full-time male, (ii) full-time female, (iii) part-time male and (iv) part-time female employees and (b) average household income for working age households was in the Stroud District Council area in (A) cash and (B) constant price terms in each of the last 10 years. [95343]
John Healey: The information requested falls within the responsibility of the National Statistician who has been asked to reply.
Letter from Karen Dunnell, dated 23 October 2006
As National Statistician, I have been asked to reply to your recent Parliamentary Question asking what the (a) average wage for (i) full-time male, (ii) full-time female, (iii) part time male and (iv) part time female employees and (b) average household income for working age households was in the Stroud District Council area in (A) cash and (B) constant price terms in each of the last 10 years. (95343).
Currently average earnings are estimated from the Annual Survey of Hours and Earnings (ASHE), and are provided for employees on adult rates of pay whose pay was unaffected by absence during the pay period. This is the standard definition used for ASHE. The ASHE does not collect data on the self employed and people who do unpaid work.
I have attached tables containing statistics on earnings from the ASHE for the years 1997-2005. The second table shows these earnings statistics expressed in 2005 prices by uprating with the Retail Price Index (RPI).
Average household income for working age households by council area is not available. Household income statistics for all households in the UK, based on the Family Resources Survey, are produced by the Department of Work and Pensions. Additionally the Office for National Statistics has produced statistics for wards for 2001-02 only. These estimates are based on a statistical model and are experimental statisticsthey have been developed in accordance with the principles set out in the National Statistics Code of Practice but are not accredited as National Statistics.
The ASHE, carried out in April of each year, is the most comprehensive source of earnings information in the United Kingdom. It is a one per cent sample of all employees who are members of pay-as-you-earn (PAYE) schemes, but because of its sampling frame, it has difficulty capturing data on people with very low pay. It is therefore likely to under-represent relatively low paid staff earning below the tax threshold.
Gross weekly (constant price £ ) pay for employee jobs( a,c) by place of work | |||||||||
Stroud | Median | Mean | |||||||
Full time male | Full time female | Part time male | Part time female | Full time male | Full time female | Part time male | Part time female | ||
Note: The median replaces the mean as the headline statistic. The weighted mean is the sum of the weighted values divided by the sum of the weights. The median is the value below which 50 per cent of employees fall. It is preferred over the mean for earnings data as it is influenced less by extreme values and because of the skewed distribution of earnings (a) Employees on adult rates whose pay for the survey pay-period was not affected by absence. (b) In 2004 additional supplementary surveys were introduced to improve the coverage of the annual survey of hours and earnings. Figures are presented both excluding and including the additional surveys for comparison purposes. (c) Constant price terms have been uprated using the Retail Prices Index (RPI), re-based at April 2005. 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 CVfor example, for an average of 200 with a CV of 5 per cent., we would expect the population average to be within the range 180 to 220. Key: CV<=5% (1 )CV>5%and<=10% (2) CV>10%and<=20% (3) CV>20% Source: Annual Survey of Hours and Earnings, Office for National Statistics |
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