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Mrs. Dorries: To ask the Secretary of State forthe Home Department how much was spent on training for members of (a) armed response units and (b) specialist firearms officers teams in each police force in each year since 1997; and if he will make a statement. 
Mr. Byrne: This information is not collected centrally. It is a matter for individual chief officers of police to decide how many trained authorised firearms officers are needed within their force, based on a thorough threat and risk assessment.
Chris Ruane: To ask the Secretary of State for the Home Department what the (a) average pay and (b) average yearly percentage change in pay was of a (i) police constable, (ii) police sergeant, (iii) police inspector and (iv) chief constable in each of the last 20 years in real terms at current prices. 
The National Statistician has been asked to reply to your recent Parliamentary Question to ask what the (a) average pay and (b) average yearly percentage change in pay was of a(i) police constable, (ii) police sergeant, (iii) police inspector and (iv) chief constable in each of the last 20 years in real terms at current prices. I am replying in her absence. (56210).
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. Earlier estimates are from the New Earnings Survey (NES) which used a similar definition for earnings estimates.
I attach tables showing Average Gross Weekly Earnings and growth in pay, by occupation for the years 1986 to 2005. Estimates of changes between years are subject to sampling variations. In particular some changes prior to the introduction of ASHE in 1997 should be treated with caution. The occupational classification used for ASHE have only two levels of classification relating to police officers, which are given in the attached tables. Current prices refer to figures expressed in terms of the prices that were current for the period. Consequently figures for 2000 are in terms of prices that were current in 2000 and figure for 1990 are in terms of prices that were current in 1990.
The ASHE and its predecessor NES, carried out in April of each year, are the most comprehensive source of earnings information in the United Kingdom. They are based on a one per cent. sample of all employees who are members of pay-as-you-earn (PAYE) schemes.
|Gross weekly (£) pay for full time employee jobs ( 1) by occupation|
|Police officers (inspectors and above) ( 2)|
|Police officers (sergeant and below) ( 2)|
|(1 )Employees on adult rates whose pay for the survey pay-period was not affected by absence.|
(2) Discontinuities exist within NES and ASHE data over time, these have been reflected within the above time series.
(3) From 1985-97 estimates are based on the New Earnings Survey. From 1997-2005 estimates are based on the Annual Survey of Hours and Earnings.
(4) 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.
(5) Figures for average gross weekly earnings are discontinuous for these occupations in 2005 due to a change in the ASHE questionnaire. Figures for 2005 include allowances that were not previously included. Growths can be estimated from figures for basic pay excluding those allowances for both years.
2005 growth in basic pay:
Police officers (inspectors and above): Median: 2.6; Mean: 2.4
Police officers (sergeant and below): Median: 3.0; Mean: 2.8
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.
The above estimates have a CV of less than 5 per cent.
The median replaces the mean as the heading 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 .
Annual Survey of Hours and Earnings, Office for National Statistics.
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