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Employment: Yorkshire and the Humber

Cabinet Office written question – answered on 25th February 2013.

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Photo of Andrew Percy Andrew Percy Conservative, Brigg and Goole

To ask the Minister for the Cabinet Office

(1) what proportion of people were self-employed in (a) Brigg and Goole constituency and (b) Yorkshire and the Humber in each of the last five years;

(2) how many people were employed in (a) part-time and (b) full-time work in (i) Brigg and Goole constituency and (ii) Yorkshire and the Humber in each of the last five years.

Photo of Nick Hurd Nick Hurd The Parliamentary Secretary, Cabinet Office, The Parliamentary Secretary, Cabinet Office

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 Questions asking how many people were employed in (a) part-time and (b) full-time work in (i) Brigg and Goole constituency and (ii) Yorkshire and the Humber in each of the last five years. (144142); and what proportion of people were self-employed in (a) Brigg and Goole constituency and (b) Yorkshire and the Humber in each of the last five years. (144141)

The ONS compiles Labour Market Statistics for areas below the UK following international Labour Organisation (ILO) definitions using the Annual Population Survey (APS).

Table 1 shows the number of people who were in full-time or part-time employment in the week prior to interview during the relevant reference periods. Estimates have been provided 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 from the APS.

Table 2 show the number and percentage of people aged 16 to 64 who were self-employed for the same periods.

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:

www.nomisweb.co.uk

Table 1: Number of people employed full-time or part-time in their main job
Thousand
  Brigg and Goole Yorkshire and the Humber
12 months ending: Full-time Part-time Full-time Part-time
December 2008 31 12 1,787 651
December 2009 31 13 1,736 654
December 2010 35 12 1,738 663
December 2011 33 11 1,729 662
September 2012(1) **29 ***12 *1,730 *682
(1) Coefficients of Variation have been calculated for the latest period as an indication of the quality of the estimates. See Guide to Quality following. 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 CV = Coefficient of Variation Source: Annual Population Survey
Table 2: Number and percentage of people in self-employed jobs
  Brigg and Goole Yorkshire and the Humber
12 months ending: Number (thousand) Percentage Number (thousand) Percentage
December 2008 6 10.0 275 8.2
December 2009 5 9.3 266 7.8
December 2010 5 8.2 285 8.3
December 2011 5 9.9 277 8.0
September 2012(1) ***5 9.8 *277 8.0
(1) Coefficients of Variation have been calculated for the latest period as an indication of the quality of the estimates. See Guide to Quality following. 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 CV = Coefficient of Variation Source: Annual Population Survey

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