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<p>The information requested falls within the responsibility of the UK Statistics Authority. I have asked the authority to reply.</p><p>Letter from Glen Watson, dated July 2014:</p><p>As Director General for the Office for National Statistics (ONS), I have been asked to reply to your Parliamentary questions asking the Minister for the Cabinet Office how many people have been employed in (a) Jarrow Constituency, (b) South Tyneside, (c) the North East and (d) the UK in each of the last 12 months (203560); what the unemployment rate in (a) Jarrow constituency, (b) South Tyneside, (c) the North East and (d) the UK was in each of the last 12 months (203589); how many women have been unemployed in (a) Jarrow constituency, (b) South Tyneside, (c) the North East and (d) the UK in each of the last 12 months (203590); how many men have been unemployed in (a) Jarrow constituency, (b) South Tyneside, (c) the North East and (d) the UK in each of the last 12 months. (203591); how many people have been unemployed in (a) Jarrow constituency, (b) South Tyneside, (c) the North East and (d) the UK in each of the last 12 months (203592); how many men have been employed in (a) Jarrow constituency, (b) South Tyneside, (c) the North East and (d) the UK in each of the last 12 months (203593); how many women have been employed in (a) Jarrow constituency, (b) South Tyneside, (c) the North East and (d) the UK in each of the last 12 months. (203594)</p><p>The Office for National Statistics (ONS) compiles labour market statistics for areas smaller than the UK from the Annual Population Survey (APS) following International Labour Organisation (ILO) definitions which is not available on a monthly basis.</p><p>Table 1 shows the number of men, women and people who were unemployed according to survey responses from the APS for the 12 month period April 2013 to March 2014, the latest available period, and resident in the requested geographies, along with the unemployment rate for people. The estimate for people in South Tyneside is calculated from a statistical model covering the same period.</p><p>Table 2 shows the number of men, women and people who were employed according to survey responses from the APS for the 12 month period April 2013 to March 2014, the latest available period, and resident in the requested geographies.</p><p>As with any sample survey, estimates from the APS are subject to a certain level of uncertainty. A guide to the quality of the estimates of the levels is included on the tables.</p><p>National and local area estimates for many labour market statistics, including employment, unemployment and claimant count are available on the NOMIS website at:</p><p>http://www.nomisweb.co.uk</p><p><table><thead><tr><td valign="top">Table1: Number1 of unemployed people andunemployment rate, April 2013 to March2014<br /></td></tr><tr><td valign="top" /><td valign="top">Level(Thousand)<br /></td><td valign="top">Percentage<br /></td></tr><tr><td valign="top" /><td valign="top">Men<br /></td><td valign="top">Women<br /></td><td valign="top">Total<br /></td><td valign="top">Rate<br /></td></tr></thead><tbody><tr><td valign="top">Jarrow<br /></td><td valign="top">****n/a<br /></td><td valign="top">****n/a<br /></td><td valign="top">***5<br /></td><td valign="top">10.8<br /></td></tr><tr><td valign="top">SouthTyneside2<br /></td><td valign="top">***5<br /></td><td valign="top">***4<br /></td><td valign="top">***9<br /></td><td valign="top">11.2<br /></td></tr><tr><td valign="top">NorthEast<br /></td><td valign="top">**71<br /></td><td valign="top">**56<br /></td><td valign="top">*127<br /></td><td valign="top">9.8<br /></td></tr><tr><td valign="top">UK<br /></td><td valign="top">*1,323<br /></td><td valign="top">*982<br /></td><td valign="top">*2,305<br /></td><td valign="top">7.2<br /></td></tr></tbody><tfoot><tr><td valign="top">1Coefficients of Variation have been calculated as an indication of thequality of the estimates. See Guide to Qualitybelow.<br />2Estimates of the unemployment level and rate for people in localauthorities is calculated from a statistical model derived from theAnnual Population Survey (APS) and the Claimant Count. This isdifferent to the estimates for the individual sexes which are from theAPS.<br />GuidetoQuality:<br />TheCoefficient of Variation (CV) indicates the quality of an estimate, thesmaller the CV value, the higher the quality. The true value is likelyto lie within +/- twice the CV—for example, for an estimate of200 with a CV of 5% we would expect the population total to be withinthe range 180-220.<br />Key Coefficient ofVariation (CV) (%) StatisticalRobustness<br />*0 ≤ CV < 5 Estimates are consideredprecise.<br />** 5≤ CV < 10 Estimates are considered reasonablyprecise.<br />*** 10≤ CV < 20 Estimates are consideredacceptable.<br />****CV ≥ 20 Estimates are considered too unreliablefor practicalpurposes.<br />Source:<br />AnnualPopulation Survey/Model-based estimates ofunemployment.<br /></td></tr></tfoot></table></p><p><table><thead><tr><td valign="top">Table2: Number1 of employed people, April 2013 toMarch2014<br /></td></tr><tr><td valign="top">Thousand<br /></td></tr><tr><td valign="top" /><td valign="top">Men<br /></td><td valign="top">Women<br /></td><td valign="top">Total<br /></td></tr></thead><tbody><tr><td valign="top">Jarrow<br /></td><td valign="top">**21<br /></td><td valign="top">**20<br /></td><td valign="top">**41<br /></td></tr><tr><td valign="top">SouthTyneside<br /></td><td valign="top">**38<br /></td><td valign="top">**33<br /></td><td valign="top">*71<br /></td></tr><tr><td valign="top">NorthEast<br /></td><td valign="top">*621<br /></td><td valign="top">*550<br /></td><td valign="top">*1,171<br /></td></tr><tr><td valign="top">UK<br /></td><td valign="top">*16,015<br /></td><td valign="top">*13,879<br /></td><td valign="top">*29,894<br /></td></tr></tbody><tfoot><tr><td valign="top">1Coefficients of Variation have been calculated as an indication of thequality of the estimates. See Guide to Qualitybelow.<br />GuidetoQuality:<br />TheCoefficient of Variation (CV) indicates the quality of an estimate, thesmaller the CV value, the higher the quality. The true value is likelyto lie within +/- twice the CV—for example, for an estimate of200 with a CV of 5% we would expect the population total to be withinthe range 180-220.<br />Key Coefficient ofVariation (CV) (%) StatisticalRobustness<br />*0 ≤ CV < 5 Estimates are consideredprecise.<br />** 5≤ CV < 10 Estimates are considered reasonablyprecise.<br />*** 10≤ CV < 20 Estimates are consideredacceptable.<br />****CV ≥ 20 Estimates are considered too unreliablefor practicalpurposes.<br />Source:<br />AnnualPopulationSurvey.<br /></td></tr></tfoot></table></p> |