The information requested falls within the responsibility of the UK Statistics Authority. I have asked the authority to reply.Letter from Karen Dunnell, dated November 2008:"As National Statistician, I have been asked to reply to your Parliamentary Question asking how many and what percentage of migrant workers there are in the workforce in each of the principal seaside town in England and Wales. (234951)""The Office for National Statistics compiles employment statistics for local areas using the Annual Population Survey (APS) and Annual Labour Force Survey (LPS) following International Labour Organisation (ILO) definitions.""Estimates of employment are not available for the principal seaside towns in England and Wales. Instead we have provided estimates relating to the Local Authorities associated with each of these towns.""The Office for National Statistics compiles statistics on migrant workers for local areas from the Annual Population survey (APS). The National Statistics method for estimating the number of migrant workers employed in the UK is based on the number of people at a given time who were born outside the UK, and in employment. This question has been answered on this basis. It means, for example, that some people who are UK nationals will be included in the total. Those in employment are defined following International Labour Organisation definitions.""Table 1 attached, provides the number of migrant workers employed in the relevant local authorities from the APS for the twelve month period ending December 2007.""These figures along with 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: Non-UK born persons¹ in employment in unitary authorities and as a percentage of all persons in employment, January to December 2007 Principal seaside town Local authority Level (Thousand) Percentage Bognor Regis Arun 6 **** 10 Greater Blackpool Blackpool 3 *** 6 Greater Bournemouth Bournemouth 9 *** 13 Porthcawl Bridgend 2 **** 4 Greater Brighton Brighton and Hove 19 *** 15 Whitstable/Herne Bay Canterbury 5 *** 7 Falmouth Carrick 3 *** 8 Llandudno/Colwyn Bay/Conwy Conwy 2 **** 4 Rhyl/Prestatyn Denbighshire 1 **** 3 Deal Dover 2 **** 4 Sidmouth East Devon 4 **** 7 Skegness East Lindsey 2 **** 3 Bridlington East Riding of Yorkshire 4 **** 3 Eastbourne Eastbourne 4 **** 9 Great Yarmouth Great Yarmouth 2 **** 6 Hastings/Bexhill Hastings 3 **** 8 Isle of Wight Isle of Wight 3 *** 5 Morecambe and Heysham Lancaster 2 **** 3 Ilfracombe North Devon n/a n/a Weston-super-Mare North Somerset 6 *** 6 Whitley Bay North Tyneside 4 **** 4 St. Ives Penwith 2 **** 7 Swanage Purbeck 1 **** 6 Newquay Restormel n/a n/a Scarborough Scarborough 3 **** 7 Burnham-on-Sea Sedgemoor n/a n/a Southport Sefton 4 **** 3 Folkstone/Hythe Shepway 4 **** 9 Southend-on-Sea Southend-on-Sea 6 *** 8 Exmouth Teignbridge 2 **** 4 Clacton Tendring 5 **** 10 Thanet Thanet 4 **** 9 Torbay Torbay 3 *** 6 Barry The Vale of Glamorgan 3 *** 6 Lowestoft Waveney 2 *** 5 Minehead West Somerset n/a n/a Weymouth Weymouth and Portland 1 **** 4 Greater Worthing Worthing 4 **** 9 n/a = Not available. ¹ Does not include respondents who did not answer the question on country of birth. Estimates are subject to sampling variability. It should also be noted that the country of birth question in the APS gives an undercount because: it excludes certain people who have been resident in the UK for less than six months. it excludes students in halls who do not have a UK resident parent. it excludes people in most other types of communal establishments (e.g. hotels, boarding houses, hostels, mobile home sites, etc). it is grossed to population estimates which exclude migrants staying for less than 12 months. microdata are grossed to population estimates consistent with those published in spring 2003 which are significantly lower than the latest population estimates. 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 per cent. we would expect the population total to be within the range 180-220 KEY Coefficient of Variation (CV) ( %) Statistical Robustness * 0 = CV < 5 Estimates are considered precise. ** 5 = CV < 10 Estimates are considered reasonably precise. *** 10 = CV < 20 Estimates are considered acceptable. **** CV = 20 Estimates are considered too unreliable for practical purposes Source: Annual Population Survey