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2 May 2006 : Column 1448W—continued
Pay Statistics
Shona McIsaac: To ask the Chancellor of the Exchequer what the gross weekly pay of full-time employees in the constituency of (a) Cleethorpes, (b) Great Grimsby, (c) Scunthorpe and (d) Brigg and Goole was in each year since 2000. [67053]
John Healey: The information requested falls within the responsibility of the National Statistician who has been asked to reply.
Letter from Karen Dunnell, dated 2 May 2006:
As National Statistician, I have been asked to reply to your recent Parliamentary Question to ask what the average earnings of full-time employees in a) Cleethorpes, b) Great Grimsby, c) Scunthorpe and d) Brigg and Goole constituencies was in each year since 2000. (67053)
Average earnings are estimated from the Annual Survey of Hours and Earnings (ASHE), and are provided for full time employees on adult rates whose pay for the survey period was not affected by absence. 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 attach tables showing Average Gross Weekly Earnings by parliamentary constituency for the years 2000 to 2005 for Full Time Employees on Adult Rates. These statistics are already published on the National Statistics website at: http://www.statistics.gov.uk/StatBase/Product.asp?vlnk=13101.
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.
(25) Employees on adult rates whose pay for the survey pay-period was not affected by absence.
(26) Denotes data not collected before 2002.
(27) Includes Supplementary survey data.
Notes:
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 e.g. 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%
* CV>5% and<=10%
** CV>10% and<=20%
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.
Source:
Annual Survey of Hours and Earnings, Office for National Statistics.
2 May 2006 : Column 1449W
(28) Employees on adult rates whose pay for the survey pay-period was not affected by absence.
(29) Denotes data not collected before 2002.
(30) Includes Supplementary survey data.
Notes:
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 e.g. 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%
* CV>5% and<=10%
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.
Source:
Annual Survey of Hours and Earnings, Office for National Statistics.
2 May 2006 : Column 1450W
(31) Employees on adult rates whose pay for the survey pay-period was not affected by absence.
(32) Denotes data not collected before 2002.
(33) Includes Supplementary survey data.
Notes:
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 e.g. 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%
* CV>5% and<=10%
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.
Source:
Annual Survey of Hours and Earnings, Office for National Statistics.
(34) Employees on adult rates whose pay for the survey pay-period was not affected by absence.
(35) Denotes data not collected before 2002.
(36) Includes Supplementary survey data.
Notes:
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 e.g. 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%
* CV>5% and<=10%
** CV>10% and<=20%
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.
Source:
Annual Survey of Hours and Earnings, Office for National Statistics.
2 May 2006 : Column 1451W
Pensions
Mr. Gregory Campbell: To ask the Chancellor of the Exchequer what estimate he has made of the cost to his Department in the first full year of the change in personal pension planning outlined in the 2006 Budget. [67545]
Mr. Ivan Lewis: A Regulatory Impact Assessment (Regulatory Impact Assessment for Simplifying the taxation of pensions—Update") was published on 22 March 2006 setting out the Government's assessment of the impact of the changes to the new simplified regime for pensions taxation introduced in the 2006 Budget. This is available at www.hmrc.gov.uk/ria/ria-pensions-simplification.pdf.
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