Only a few days to go: We’re raising £25,000 to keep TheyWorkForYou running and make sure people across the UK can hold their elected representatives to account.Donate to our crowdfunder
The information requested falls within the responsibility of the UK Statistics Authority. I have asked the authority to reply.
Letter from Stephen Penneck, dated June 2012
As Director General for the Office for National Statistics, I have been asked to reply to your Parliamentary Question asking how many young people have been unemployed for more than a year in (a) England; (b) the West Midlands and (c) South Birmingham. (113840)
Table 1 shows the number of people aged 16 to 24 who have been unemployed for more than 12 months in England and the West Midlands, from the APS, for the 12 month period ending March 2012, which is the latest available estimate. However, due to small sample sizes estimates of the number of people aged 16 to 24 claiming for more than a year resident in South Birmingham are not available.
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.
National and local area estimates for many labour market statistics, including employment, unemployment and claimant count are available on the NOMIS website at:
|Table 1: Number of people aged 16 to 24 resident in England and the west midlands who are unemployed for more than a year|
|12 months ending March 2012||Level|
|(1) Data has not been supplied as it has been classed as unreliable. Note: Coefficients of Variation have been calculated for the latest period as an indication of the quality of the estimates. See following 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|