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18 Apr 2006 : Column 556W—continued
National Institute for Health Research
Mr. Willis: To ask the Chancellor of the Exchequer what total resources will be allocated to the National Institute for Health Research in each of the first three years after it is established. [62954]
Mr. Des Browne: The Chancellor announced in the Budget a review to consider the best model and institutional arrangements for publicly-funded health research in the UK. Decisions on future spending on health research, like other spending decisions, will be made as part of the Comprehensive Spending Review.
National Insurance
Mr. Laurence Robertson: To ask the Chancellor of the Exchequer if he will exempt people from class 4 national insurance contributions when they reach pensionable age part way through the tax year on a proportionate basis; and if he will make a statement. [63777]
Dawn Primarolo: The proposal would require the calculation of income tax and national insurance contributions on different profits on the part of the self- employed, which would add complexity to the system.
Mr. Swire: To ask the Chancellor of the Exchequer what recent representations he has received from orchestras on national insurance contributions; and if he will make a statement. [63988]
Dawn Primarolo:
I have received correspondence from a number of MPs and met with various persons regarding this matter. HM Revenue and Customs are currently working with the Arts Council and their legal advisers to establish whether national insurance contributions are due in respect of musicians engaged by orchestras. On the basis of the contracts reviewed, HMRC have recently advised the Arts Council that soloists and conductors engaged under similar contracts
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are not liable for class 1 national insurance contributions. HM Revenue and Customs are still looking at the contracts for other types of musicians.
Non-Domestic Rates
Mr. Prisk: To ask the Chancellor of the Exchequer what expenditure on non-domestic rates was as a percentage of (a) turnover, (b) overheads and (c) profit of (i) all businesses in England and (ii) all businesses in England broken down by annual turnover of (A) less than £50,000, (B) £50,000 to £99,000, (C) £100,000 to £499,999, (D) £500,000 to £1,999,999, (E) £2,000,000 to £9,999,999, (F) £10,000,000 to £49,999,999, (G) £50,000,000 to £999,999,999 and (H) £1,000,000,000 or more in the last year for which figures are available. [63808]
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John Healey: The information requested falls within the responsibility of the National Statistician who has been asked to reply.
Letter from Karen Dunnell, dated 18 April 2006:
As National Statistician, I have been asked to reply to your recent Parliamentary Question asking for expenditure on national non-domestic rates by businesses in England, by turnover band, as percentages of turnover, overheads and profit. (63808)
Our annual structural business inquiry, which covers most of the economy but excludes some sectors such as finance, collects data. on non-domestic rates. The latest figures available for England alone relate to 2003. Figures for turnover are collected, but not for overheads or profit. The table below shows non-domestic rates as a percentage of turnover. Corresponding figures for purchases (as the largest cost element most businesses face) and gross value added (which includes profit but also other items such as labour costs) are also included.
Further details of the coverage of the annual business inquiry are given at:
http://www.statistics.gov.uk/methods_quality/sic/structure_sectiona_b.asp#sectiona; definitions of the variables at:
The annual structural business inquiry is a sample survey so the figures are subject to sampling error. This is likely to be greater for the figures relating to small businesses than for businesses in the larger turnover bands.
Part-time Workers
Shona McIsaac: To ask the Chancellor of the Exchequer which 25 constituencies had the highest percentage of part-time workers at the latest date for which figures are available, listed in descending order; and how many part-time workers there were in each of those constituencies. [62654]
John Healey: The information requested falls within the responsibility of the National Statistician who has been asked to reply.
Letter from Karen Dunnell, dated 18 April 2006:
As National Statistician, I have been asked to reply to your Parliamentary Question about percentages of part time workers by parliamentary constituency. (62654)
The attached table shows the twenty-five parliamentary constituencies with the highest percentages of part-time workers, these percentages and the number of part time workers in these constituencies. The data are from the Annual Population Survey, and cover the period January to December 2004.
Notes:
1. Estimates are subject to sampling variability.
2. Constituencies are listed in descending order of percentage of part-time workers.
Source:
Annual Population Survey
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Pay Statistics (Wirral, West)
Stephen Hesford: To ask the Chancellor of the Exchequer what the average earnings were of full-time employees in Wirral, West constituency in April of each year since 1997. [62357]
John Healey: The information requested falls within the responsibility of the National Statistician who has been asked to reply.
Letter from Jim Matheson, dated 18 April 2006:
The National Statistician has been asked to reply to your recent Parliamentary Question to ask what the average earnings of full-time employees in Wirral West constituency were in April in each year since 1997. I am replying in her absence.
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 1997 to 2005 for full-time Employees on Adult Rates. These statistics are also available 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.
(250) Employees on adult rates whose pay for the survey pay-period was not affected by absence.
(251) Includes supplementary survey details.
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%, we would expect a population average to be within range 180–220.
Key:
CV<=5%
* CV>5% and <=10%
** CV>10% and <=20%
Notes:
The median replaces the mean as the headline statistic. The weighted mean is the sum of the weighted values divided by the sum of 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
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n/a. Data not collected before 2002
(252) Employees on adult rates whose pay for the survey pay-period was not affected by absence.
(253) Includes supplementary survey details.
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%, we would expect a population average to be within range 180–220.
Key:
CV<=5%
* CV>5% and <=10%
** CV>10% and <=20%
Notes:
The median replaces the mean as the headline statistic. The weighted mean is the sum of the weighted values divided by the sum of 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
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