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21 Oct 2008 : Column 296Wcontinued
Mr. Lancaster: To ask the Chancellor of the Duchy of Lancaster what the level of unemployment was in Milton Keynes in each month since 1997. [228428]
Kevin Brennan [holding answer 20 October 2008]: The information requested falls within the responsibility of the UK Statistics Authority. I have asked the Authority to reply.
Letter from Karen Dunnell, dated October 2008:
As National Statistician, I have been asked to reply to your Parliamentary Question asking what the level of unemployment was in Milton Keynes from 1997 to the latest date for which figures are available, broken down by month. (228428)
The Office for National Statistics compiles unemployment statistics for local areas using model based estimates following the International Labour Organisation (ILO) definition.
Model based estimates of unemployment for Milton Keynes are only available for annual periods from March 1997 to February 2004, and for rolling four quarter periods from January 2004. The latest estimates are for the 12 month period ending December 2007.
Table 1, attached, shows model based estimates of the number of people aged 16 and over who were unemployed and resident in Milton Keynes from 1997 to 2007. As these estimates are for a subset of the population in small geographical areas, they are based on small sample sizes, and are therefore subject to large margins of uncertainty.
Table 2 attached shows the number of persons claiming Jobseekers Allowance resident in Milton Keynes for each month since 1997.
These figures along with a wide range of other labour market data for parliamentary constituencies and local authorities are also published on the Office for National Statistics NomisĀ(r) website: www.nomisweb.co.uk
Table 1: Number of unemployed persons( 1) resident in Milton Keynes | |
12 months ending: | Number (Thousand) |
(1) Levels of unemployment are provided for persons aged 16 and over. The figures presented are weighted to population estimates published in 2007. (2) Coefficients of Variation have been calculated for the latest period as an indication of the quality of the estimates. See Guide to Quality as follows: Guide to Quality: The Coefficient of Variation (CV) indicates the quality of an estimate, the smaller the CV value the higher the quality. The true value is likely to lie within +/- twice the CVfor example, for an estimate of 200 with a CV of 5 per cent. we would expect the population total to be within the range 180-220. Key: Coefficient of Statistical Robustness Variation (CV) (percentage) * 0 < CV < 5 Estimates are considered precise. ** 5 < CV < 10 Estimates are considered reasonably precise. *** 10 < CV < 20 Estimates are considered acceptable. **** CV > 20 Estimates are considered too unreliable for practical purposes. Source: Model Based Estimates. |
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