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The information requested falls within the responsibility of the UK Statistics Authority. I have asked the authority to reply.Letter from Karen Dunnell, July 2009:"As National Statistician, I have been asked to reply to your Parliamentary Question asking how many (a) men and (b) women were in employment in (i) City of York constituency (ii) City of York local authority area and (iii) Yorkshire and the Humber region in (A) May 1997 and (B) each year since. (285824)""The Office for National Statistics (ONS) compiles labour market statistics for local areas from the Annual Population Survey (APS) and its predecessor the Annual Labour Force Survey (LFS) following International Labour Organisation (ILO) definitions.""Table 1 shows the number of males and females in employment resident in the requested areas. For the 12 month periods ending in February for 1997 to 2004 estimates have been provided from the Annual LFS. For the 12 month periods ending in December 2004 to 2008 estimates have been provided from the APS. The estimates for Yorkshire and The Humber have also been compiled from the Annual LFS and APS to be consistent with those for the City of York parliamentary constituency and City of York local authority and will therefore differ from the employment figures published in the Labour Market Statistical Bulletin.""National and local area estimates for many labour market statistics, including employment and unemployment are available from the NOMIS website at:""http://www.nomisweb.co.uk"<Table width="100%" summary="" cellspacing="3" cellpadding="3" border="0"><thead><tr><th>Table 1: Number of males and females in employment aged 16 and over resident in the City of York parliamentary constituency, City of York local authority and Yorkshire and the Humber</th></tr></thead><TR><TD></TD><TD>Thousand</TD></TR><TR><TD></TD><TD>City of York parliamentary constituency</TD><TD>City of York local authority</TD><TD>Yorkshire and the Humber</TD></TR><TR><TD></TD><TD>Male</TD><TD>Female</TD><TD>Male</TD><TD>Female</TD><TD>Male</TD><TD>Female</TD></TR><TR><TD>12 months ending</TD><TD></TD><TD></TD><TD></TD><TD></TD><TD></TD><TD></TD></TR><TR><TD>February 1997</TD><TD>22</TD><TD>22</TD><TD>43</TD><TD>39</TD><TD>1,163</TD><TD>988</TD></TR><TR><TD>February 1998</TD><TD>24</TD><TD>21</TD><TD>43</TD><TD>34</TD><TD>1,178</TD><TD>993</TD></TR><TR><TD>February 1999</TD><TD>28</TD><TD>20</TD><TD>45</TD><TD>38</TD><TD>1,202</TD><TD>1,010</TD></TR><TR><TD>February 2000</TD><TD>25</TD><TD>20</TD><TD>44</TD><TD>39</TD><TD>1,197</TD><TD>1,014</TD></TR><TR><TD>February 2001</TD><TD>27</TD><TD>24</TD><TD>49</TD><TD>44</TD><TD>1,208</TD><TD>1,051</TD></TR><TR><TD>February 2002</TD><TD>28</TD><TD>24</TD><TD>49</TD><TD>43</TD><TD>1,221</TD><TD>1,044</TD></TR><TR><TD>February 2003</TD><TD>29</TD><TD>25</TD><TD>50</TD><TD>43</TD><TD>1,233</TD><TD>1,047</TD></TR><TR><TD>February 2004</TD><TD>28</TD><TD>25</TD><TD>48</TD><TD>43</TD><TD>1,248</TD><TD>1,064</TD></TR><TR><TD>December 2004</TD><TD>29</TD><TD>27</TD><TD>49</TD><TD>44</TD><TD>1,247</TD><TD>1,068</TD></TR><TR><TD>December 2005</TD><TD>30</TD><TD>27</TD><TD>52</TD><TD>47</TD><TD>1,298</TD><TD>1,098</TD></TR><TR><TD>December 2006</TD><TD>29</TD><TD>28</TD><TD>51</TD><TD>50</TD><TD>1,309</TD><TD>1,107</TD></TR><TR><TD>December 2007</TD><TD>32</TD><TD>27</TD><TD>54</TD><TD>49</TD><TD>1,324</TD><TD>1,108</TD></TR><TR><TD>December 2008¹</TD><TD>**32</TD><TD>**28</TD><TD>**54</TD><TD>**51</TD><TD>*1,324</TD><TD>1,124</TD></TR><tfoot><TR><td>¹ Coefficients of Variation have been calculated for the latest period as an indication of the quality of the estimates. See Guide to Quality below.</td></TR><TR><td>Guide to Quality:</td></TR><TR><td>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 per cent. we would expect the population total to be within the range 180-220.</td></TR><TR><td>Key Coefficient of Variation (CV) (%) Statistical Robustness</td></TR><TR><td>* 0 [le] CV< 5 Estimates are considered precise</td></TR><TR><td>** 5 [le]CV < 10 Estimates are considered reasonably precise</td></TR><TR><td>*** 10[le] CV < 20 Estimates are considered acceptable</td></TR><TR><td>**** CV = 20 Estimates are considered too unreliable for practical purposes</td></TR><TR><td>Source:</td></TR><TR><td>Annual Labour Force Survey/Annual Population Survey</td></TR></tfoot></Table> |