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9 Oct 2006 : Column 267W—continued
Accidents (Graveyards)
Mr. Hands: To ask the Chancellor of the Exchequer what estimate the Office for National Statistics has made of the number of deaths from accidents in graveyards or cemeteries in each of the last three years. [89409]
John Healey: The information requested falls within the responsibility of the National Statistician who has been asked to reply.
Letter from Karen Dunnell, dated 9 October 2006:
As National Statistician I have been asked to reply to your Parliamentary Question asking what estimate the Office for National Statistics has made of the number of deaths from accidents in graveyards or cemeteries in each of the last three years. (89409)
The Office for National Statistics has not made any estimate of the total number of deaths from accidents in graveyards or cemeteries in the last three years. Although the place of accident is recorded at death registration it is limited to the following categories:
Home
Farm
Mine or quarry
Industrial place or premises
Place of recreation or sport
Street or highway
Public building
Resident institution
The option to specify other places is available but these are not coded to specifically allow graveyards or cemeteries to be identified.
Agency Staff
Mr. Weir: To ask the Chancellor of the Exchequer what average hourly rate his Department paid to employment agencies for agency staff in each year since 1999, broken down by agency. [89468]
John Healey: I refer the hon. Gentleman to the answer I gave on 25 July 2006, Official Report, column 1341W to the hon. Member for North Ayrshire and Arran (Ms Clark).
Anniversary Celebrations
Michael Gove: To ask the Chancellor of the Exchequer what plans he has to celebrate his 10th anniversary of his holding the office of Chancellor of the Exchequer. [90108]
John Healey: The Chancellor has served in his post for nine years and five months, not for 10 years.
Average Wages
Hugh Bayley: To ask the 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 City of York council area in (1) cash and (2) constant price terms in each of the last 10 years. [88725]
John Healey: The information requested falls within the responsibility of the National Statistician who has been asked to reply.
Letter from Stephen Penneck, dated 9 October 2006:
The National Statistician has been asked to reply to your recent Parliamentary Question asking what the (a) 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 City of York council area in (1) cash and (2) constant price terms in each of the last 10 years. I am replying in her absence. (88725).
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 which are all that is available. The second table shows these earnings statistics expressed in 2005 prices by using 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 statistics - they 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 (cash £) pay for employee jobs( 1) by place of work—City of York | ||||||||
| £ | ||||||||
| 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 | |
| Gross weekly (constant price £) pay for employee jobs( 3) by place of work—City of York | ||||||||
| £ | ||||||||
| 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 | |
| (1 )Employees on adult rates whose pay for the survey pay-period was not affected by absence. From1997-2005 estimates are based on the Annual Survey of Hours and Earnings. (2 )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. (3) Constant price terms have been uprated using the Retail Prices Index (RPI), re-based at April 2005. Guide to qualify 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 percent., we would expect the population average to be within the range 180 to 220. The above estimates all have a CV of less than 5 percent. An x has been given for estimates with a CV of greater than 20 percent. 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 percent. 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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