The information requested falls within the responsibility of the UK Statistics Authority. I have asked the authority to reply.
Letter from Glen Watson, dated February 2013
As Director General for the Office for National Statistics, I have been asked to reply to your Parliamentary Question asking for the number of people aged over 65 in the working population in (a) Brigg and Goole constituency and (b) Yorkshire and The Humber in each of the last 5 years.(143657)
The term working population has been interpreted as those who were in employment in the week prior to interview, during the relevant reference periods. Estimates have been provided from the APS for the 12 month period October 2011 to September 2012, the latest available period, and for the 12 month periods ending in December for 2008 to 2011.
Estimates of people aged 65 and over have been provided, rather than over 65, as the former is the standard size-banding used for labour market analyses. Due to its small sample size, an estimate at Parliamentary Constituency level is not available for Brigg and Goole Constituency.
As with any sample survey, estimates from the APS are subject to a margin of. uncertainty. A guide to the quality of the estimates is given in the table.
A wide range of other labour market data for parliamentary constituencies and local authorities are also published on the Office for National Statistics' Nomis website:
|Number of people aged 65 and over in employment resident in Yorkshire and The Humber|
|12 months ending:|
|(1) Coefficients of Variation have been calculated for the latest period as an indication of the quality of the estimates. See Guide to Quality. 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 CV—for example, for an estimate of 200 with a CV of 5% we would expect the population total to be within the range 180-220. Key: * 0 ≤ CV <5%—Statistical Robustness: Estimates are considered precise ** 5 ≤ CV <10%—Statistical Robustness: Estimates are considered reasonably precise *** 10 ≤ CV <20%—Statistical Robustness: Estimates are considered acceptable **** CV ≥ 20%—Statistical Robustness: Estimates are considered too unreliable for practical purposes Source: Annual Population Survey|