Government Buildings Cardiff Road Newport NP10 8XG Adeiladau’r Llywodraeth Heol Caerdydd Casnewydd NP10 8XG Tel: 01633 456395 Email: [email protected] www.ons.gov.uk Ffôn: : 01633 456395 Ebost: [email protected] www.ons.gov.uk Sir Hugh Bayley MP House of Commons London SW1A 0AA March 2015 Dear Sir Bayley, As Director General for the Office for National Statistics (ONS), I have been asked to reply to your Parliamentary Question asking the Secretary of State for Business, Innovation and Skills (a) how many people and (b) what proportion of the workforce were employed on zero hours contracts in (i) York Central constituency, (ii) City of York local authority area, (iii) England and (iv) the UK in 2010 and each subsequent year; and what the average number of hours worked each week by such people was in each such year. (227990) Information regarding people in employment on a zero-hours contract and their characteristics are available from the Labour Force Survey (LFS) at a national level. Unfortunately sample sizes from the LFS are not sufficient to allow for a breakdown by constituency or local authority. However it is possible to provide the level and the average weekly hours worked of people employed on a zero-hours contract for England and the UK. The figures in this analysis are calculated from responses to the Labour Force Survey (LFS). As part of the survey, the LFS asks people in employment if their job has flexible working and if so to choose from a list of employment patterns those which best describe their situation. Only those people who select "zero-hours contract" as an option will be included in this analysis. The number of people who are shown as on a zero-hours contract will therefore be affected by whether people know they are on a zero-hours contract and will be affected by how aware they are of the concept. The increased coverage of zero-hours in the latter half of 2013 is likely to have affected the response to this question. The table provides these estimates for the most recent quarter (October to December 2014) and the corresponding quarter in the previous years from 2010. The LFS estimate differs from some of the other figures in the public domain that come from surveys of businesses. The ONS own survey of businesses, first published on 30th April 2014, aims to produce an estimate of “zero-hours contracts” that complements the existing LFS estimates and can also be compared to other employer estimates. Estimates from the business survey are higher than those from the LFS - but cannot provide the demographic information offered by the LFS - as explained in the report: Analysis of Labour Force Survey estimates of people in employment reporting a zero-hours contract, April to June 2014 published on the ONS website. As with any sample survey, estimates from the LFS are subject to a margin of uncertainty. An indication of the quality of the estimates provided is given in the table. In addition, there is likely to be a degree of reporting error in these estimates as explained above. Yours sincerely, Glen Watson Director General for ONS People aged 16 and over employed on a zero-hours contract October to December, 2010 to 2014 Not seasonally adjusted UK England 2010 Percentage of Average (mean) people in actual weekly employment on hours worked a zero hour contract 168 ** 0.6 21.9 2011 190 ** 0.6 21.3 161 ** 2012 252 ** 0.8 20.6 218 ** 2013 586 * 1.9 21.3 504 * 2014 697 * 2.3 22.6 598 * In employment on a zero hour contract (thousands) In employment on a zero hour contract (thousands) 151 ** Percentage of people in employment on a zero hour contract Average (mean) actual weekly hours worked 0.6 0.6 0.9 2.0 22.8 2.3 22.3 21.9 20.4 21.7 Source: Labour Force Survey 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 180220. KEY * Coefficient of Variation (CV) (%) 0 ≤ CV < 5 ** 5 ≤ CV < 10 *** 10 ≤ CV < 20 **** CV ≥ 20 Statistical Robustness Estimates are considered precise. Estimates are considered reasonably precise. Estimates are considered acceptable. Estimates should be used with caution and, in some cases may be unreliable for practical purposes.
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