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User Guide - Office for National Statistics

1. Employment ILO Unemployment Total Rate Total Rate Sample Standard Design Standard Design Sample Standard Design Standard Design Size Estimate Error Factor Estimate Error Factor Size Estimate Error Factor Estimate Error Factor SUB Caradon 15 36 21 0 86 50 2 29 0 92 6 2 0 7 0 97 27 0 0 98 SUC Carrick 39 47 26 0 94 57 9 3 2 1 03 7 2 0 8 0 96 27 0 0 96 5UD Kerrier 2 45 25 0 81 52 5 29 0 88 7 3 4 14 33 3 15 SUE North Cornwall 36 40 23 0 93 57 0 33 1 05 6 2 0 8 07 26 jj 07 SUF Penwith 82 29 9 0 83 50 5 34 0 89 6 2 0 9 07 43 7 08 SUG Restormel 67 50 23 0 82 58 0 26 0 92 8 3 0 1B 33 2 13 6UB Allerdale 66 44 8 0 70 58 2 23 0 79 3 4 0 9 0 98 46 2 0 99 6UC Barrow in Furness 82 27 9 0 81 50 5 35 0 88 3 al 0 6 00 18 a 00 GUD Carlisle 48 51 23 0 77 57 1 25 0 85 14 5 3 03 5 6 4 03 6UE Copeland 09 33 6 0 72 58 0 28 0 81 5 2 0 7 01 27 1 01 6UF Eden 08 28 4 0 78 63 8 33 0 89 3 1 0 5 08 18 1 08 6UG South Lakeland 92 54 9 0 73 61 9 22 0 80 3 1 0 5 08 11 0 6 08 7UB Amber Valley 70 64 27 0 76 65 9 28 0 91 6 3 0 0 99 27 0 0 99 7UC Bolsover 96 36 8 0 68 573 29 0 76 7UD Chesterfield B 47 2 4 0 75 55 9 29 0 84 5 2 0 9 0 99 26 1 00 7UF Derbyshire Dales 90 34 8 0 73 58 5 3 2 0 82 3 1 0 7 1 07 22 2 07 7UG Erewash 10 53 27 0 79 58 2 3 0 0 89 9 5 15 1 05 5 1 6 05 7UH High Peak 25 45 21 0 75 61 5 29 0
2. Employment ILO Unemployment Total Rate Total Rate Sample Standard Design Standard Design Sample Standard Design Standard Design Size Estimate Error Factor Estimate Error Factor Size Estimate Error Factor Estimate Error Factor 35UD Blyth Valley 219 40 5 0 79 58 4 23 0 87 16 3 08 3 4 8 11 3 35UE Castle Morpeth 32 24 0 0 72 56 9 25 0 79 3 1 0 4 17 14 09 7 35UF Tynedale 67 28 0 0 66 58 5 21 0 74 5 1 0 4 01 18 08 02 35UG Wansbeck 16 25 6 0 92 52 5 33 1 03 12 3 07 04 5 4 5 05 36UB Craven 70 27 7 0 76 57 4 38 0 84 4 2 08 2 33 8 2 36UC Hambleton 06 2 20 0 69 58 7 28 0 76 5 2 0 00 33 3 00 36UD Harrogate 29 80 27 0 74 62 8 21 0 85 4 2 07 3 12 0 6 03 36UE Richmondshire 71 25 3 0 64 64 6 3 6 0 79 36UF Ryedale 74 27 5 0 71 62 9 35 0 78 36UG Scarborough 16 45 28 0 85 523 3 2 0 94 12 5 7 16 5 9 3 17 36UH Selby 44 42 9 0 77 625 28 0 90 6 2 0 7 01 25 0 02 37UB Ashfield 17 55 3 1 0 83 56 6 3 2 0 93 8 4 6 17 4 6 7 18 37UC Bassetlaw a4 50 21 0 70 56 2 24 0 79 6 2 09 02 27 0 03 37UD Broxtowe 1 50 25 0 74 54 0 28 0 82 10 4 3 0 98 49 4 0 98 37UE Gedling M 52 27 0 88 58 4 31 1 00 1 4 4 19 4 7 6 19 37UF Mansfield o 43 33 0 99 49 4 38 1 08 16 8 23 30 9 2 27 31 37UG Newark and Sherwood M 57 26 0 77 613 28 0 88 3 1 0 7 06 11 07 06 370 Rushcliffe 33 52 23 0 67 59 6 26 0 77 4 2 0 9 04 21 0 04 38UB Cherwell 65 16 29 0 71 65 1 25 0 83 6 3 13 08 26 1 08 38UC Oxford 57 81 3 9 0 89 66 6 3 2 1
3. Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database Employment ILO Unemployment Total Rate Total Rate Sample f i Standard Design 3 Standard Design Sample l 4 Standard Design Standard Design Size Estimate Error Factor Estimate Error Factor Size Estimate Error Factor Estimate Error Factor Wales 15 337 1 372 77 0 98 55 0 0 3 1 08 1 133 118 41 1 34 47 0 2 1 35 JA Anglesey Isle of 690 30 0 7 0 80 52 8 1 2 0 88 61 3 0 4 1 07 5 0 0 6 1 08 C Gwynedd 713 55 13 0 90 54 7 1 3 0 99 39 3 0 5 1 11 3 5 0 5 1 11 E Conwy 801 50 1 0 0 83 53 0 14 0 90 33 2 0 4 1 21 2 5 0 5 1 21 G Denbighshire 733 41 0 9 0 85 53 3 1 2 0 94 55 3 0 5 1 20 44 0 6 1 20 J Flintshire 774 72 15 0 81 58 2 1 2 0 91 48 5 0 7 1 14 40 0 6 1 14 L Wrexham 770 66 1 3 0 80 60 0 1 2 0 91 43 4 0 7 1 29 3 8 0 7 1 29 N Powys 784 64 1 3 0 81 58 6 1 2 0 90 24 2 0 5 1 13 1 9 0 4 1 13 Q Ceredigion 751 33 0 9 1 04 50 7 1 4 1 11 17 1 0 2 1 22 1 3 0 4 1 22 S Pembrokeshire 671 53 1 3 0 86 53 3 1 3 0 95 47 4 0 6 1 11 4 2 0 6 1 11 U Carmarthenshire 688 80 1 9 0 87 53 3 1 3 0 96 47 6 1 0 1 21 4 3 0 7 1 22 IX Swansea 726 103 24 0 87 52 1 1 2 0 95 63 10 1 3 1 13 5 2 0 6 1 13 IZ Neath Port Talbot 656 60 1 4 0 83 52 2 1 2 0 91 58 6 0 8 1 14 5 1 0 7 1 15 PB Bridgend 703 64 1 4 0 79 56 8 1 2 0 88 47 5 0 7 1 09 42 0 6 1 09 PD Vale of Glamorgan The 715 58 1 2 0 81 57 3 1 2 0 91 67
4. 3 Problems with back or neck which includes arthritis or ism 5 Skin conditions including allergic reactions and severe disfigurement 6 Heart blood pressure or circulation problems 7 Chest or breathing problems including asthma and bronchitis 8 Stomach liver kidney or digestive problems 9 Diabetes 10 Epilepsy include fits 11 Severe headache such as migraine 12 Learning difficulties reading spelling or math disability 13 Chronic anxiety 14 Depression 15 Other mental nervous or emotional problems 16 Other progressive illnesses which include multiple sclerosis HIV Alzheimer s disease Parkinson s disease 17 Other longstanding health problems 45 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database 18 No longstanding health conditions or diseases 99 Not applicable ELIMHRSE The health condition s or disease s or 1 Yes the health condition s difficulty ies cause s the person s limitation in jor disease s the number of hours that he she can work ina_ 2 Yes the activity difficulty ies week 3 Yes both the health condition s disease s and the activity difficulty ies 4 No 9 Not applicable ELIMREAS Main reason for limitation in work number of 1 Lack of hours type getting to and from work that is not qualifications experience caused by the longstanding health 2 Lack of appropriate
5. Wave 1 variables From JDO8 various wave 1 LFS variables have been added to the JD APS person datasets on the Government cuts A list of the wave 1 variables can be found in Annex F It is worth noting that several of these variables have only recently in quarters in 2014 been asked in wave 1 only However in order to do some analysis with other years they have been included in earlier periods of the APS dataset where they may have been asked in Wave 1 and Wave 5 of the LFS When analysis is carried out based on these variables the Wave 1 weight should be used EWEIGH14 the Eurostat one that can also be used for the ad hoc modules There may be a discrepancy between the unweighted and weighted results as the Wave 5 cases will be included in the unweighted counts but not in the weighted counts This is because only Wave 1 cases have weights Integrated Household Survey IHS variables Several variables from the IHS have also been included in the APS person datasets Smoking from A09M10 e SMOKEVER Ever Smoked e CIGNOW Smoke at all nowadays e CIGSMK1 Smoking Status Health from JO9J10 e QHEALTH1 How is the respondent s health The inclusion of these variables are currently for QA purposes with users advised to use the Integrated Household Survey to analyse smoking prevalence and QHeatlh1 Veterans from JD14 e VETCURR Currently serving in the armed forces e VETSERV Ever served in armed forces e V
6. 13UH Vale Royal 369 4 0 37 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database Local Authority Area 15UB Caradon 15UC Carrick 15UD Kerrier 15UE North Cornwall 15UF Penwith 15UG Restormel 16UB Allerdale 16UC Barrow in Furness 16UD Carlisle 16UE Copeland 16UF Eden 16UG South Lakeland 17UB Amber Valley 17UC Bolsover 17UD Chesterfield 17UF Derbyshire Dales 17UG Erewash 17UH High Peak 17UJ North East Derbyshire 17UK South Derbyshire 18UB East Devon 18UC Exeter 18UD Mid Devon 18UE North Devon 18UG South Hams 18UH Teignbridge 18UK Torridge 18UL West Devon 19UC Christchurch 19UD East Dorset 19UE North Dorset 19UG Purbeck 19UH West Dorset 19UJ Weymouth and Portland 20UB Chester le Street 20UD Derwentside 20UE Durham 20UF Easington 20UG Sedgefield 20UH Teesdale 20UJ Wear Valley 21UC Eastbourne 21UD Hastings 21UF Lewes 21UG Rother 21UH Wealden Average Grossing Factor 286 1 319 9 359 5 278 4 316 8 286 9 273 6 336 1 322 2 273 1 252 0 269 7 387 6 380 5 410 8 364 5 427 5 359 5 395 1 416 0 446 8 444 7 383 6 399 6 304 0 354 9 420 3 430 5 226 3 218 9 222 0 201 6 242 5 272 5 317 8 293 3 358 9 333 7 297 4 353 1 290 6 378 7 317 5 307 9 339 8 251 8 AG 1000 0 29 0 32 0 36 0 28 0 32 0 29 0 27 0 34 0 32 0 27 0 25 0 27 0 39 0 38 0 41 0 36 0 43 0 36 0 40 0 42 0 45 0 44 0 38 0 40 0 30 0 35 0 42 0
7. If Wi is the average grossing factor mean weight for cases in subgroup i the value of the grossed estimate is Wi ni Then ignoring the variable weights and the clustered design approximately Var Ei Wi ni Wi ni 1 The effect of both the grossing and the clustered design is reflected in the design effect and this has been calculated for the quarterly survey for a range of different estimates These combined design effects vary substantially for different variables for estimates of employment and economic activity they are substantially below 1 whereas for unemployment they are greater than 1 36 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database So 1 should be modified to Var Ei Wi ni deffi 2 Thus Cv Ei Square root deffi ni 3 For the threshold for this variable we must have cv Ei lt 0 2 4 So from 3 and 4 we obtain ni gt 25 deffi Or in terms of the grossed estimate Ei gt 25 Wi deffi 5 The values of the right hand side of 5 provide the required thresholds Wi for a particular local authority is the average grossing factor taken directly from the annual LFS data One result of including the design effect in the calculation is to lead to different thresholds for different variables However variables are often used in combination e g a tabulation of employment by ethnic group The design effect for employment is
8. natox ndtype4 newdea4 nolook nolowa01 nolowa02 nolowa03 nolowa04 nolowa05 nolowa06 nolowa07 nolowa08 nolowa09 nolowa10 nolwm nolwmy nowant nsecm nsecmm num5up numal numas PWAPS Core Only numhhlid numol4 numol5 numol5df numolfo numsce nuts2 nuts3 nuts4 nvqlev nvqsvq nvqun nvqun2 oacode oneten ownbus pca pcode pdwage persno prxrel publicr pwaps05a qgcse41 qgcse42 qgcse43 qgcse44 qgcse45 qgnvq qrtr qualch41 qualch42 qualch43 qualch44 qualch51 qualch52 qualch53 qualch54 qualch55 quals401 quals402 quals403 quals404 quals405 quals406 quals407 quals408 quals409 quals410 quals41 1 quals601 quals602 quals603 quals604 quals605 quals606 quals607 quals608 quals609 quals610 quals61 1 quota recno refdte refwkd refwkm refwky regwkr relous relhfu relhrp relig rent96 resbby resmth respno restme rsa samelad sc2kmmj sc2kmmn schm04 scotpca sctvec sector sectro03 self1 self2 self3 self4 sex smsxfu soal soa2 soc2km solo2 solor start stat2 statr stucur supvis supvis2 teach41 teach42 teach43 teach44 teach45 teach46 teclec4 ten96 thiswv tlec98 ttwa typhst1 typhst2 typhst3 typhst4 xr12 typhst5 xr13 uacnty xr14 uala xr15 ualdgb ystart ualdwk ytetjb ukpca ytetmp undabl undnst undskhr undst uresmc urind wiyr wait ward03 ward05 ward98 wavind week wnleft wnleft2 workage worst30 worst380n wrkage wrking xr00 xr01 xr02 llodefO
9. 05 9 5 19 22 3 8 5 22 38UD South Oxfordshire 202 69 26 0 77 65 6 25 0 92 3 1 0 7 08 11 0 6 08 3UE Vale of White Horse 86 62 21 0 66 68 7 23 0 82 9 3 11 10 35 2 zt 38UF West Oxfordshire 35 56 25 0 78 65 8 29 0 93 6 3 1 2 11 3 8 4 2 39UB Bridgnorth 53 27 10 0 61 61 6 22 0 71 4 1 0 4 10 16 09 1 39UC North Shropshire 60 31 1 2 0 72 60 6 24 0 81 10 2 0 6 00 42 2 01 39UD Oswestry 82 19 1 2 0 80 517 35 0 89 11 3 0 9 19 79 25 20 39UE Shrewsbury and Atcham 240 52 19 0 82 63 9 23 0 94 17 4 0 9 05 45 1 06 39UF South Shropshire 124 B 11 0 78 62 5 31 0 88 4 1 0 4 05 19 0 06 40UB Mendip 168 49 25 0 88 58 6 3 0 1 01 8 3 09 08 3 0 1 08 40UC Sedgemoor 168 59 25 0 81 62 4 26 0 92 11 5 5 16 53 5 7 40UD South Somerset 201 80 28 0 71 59 9 21 0 79 5 2 0 2 17 08 2 40UE Taunton Deane 153 54 23 0 75 62 5 27 0 88 4 1 08 21 15 0 2 40UF West Somerset 29 2B 15 0 85 48 0 5 4 0 91 a X 3 X 41UB Cannock Chase 83 46 3 0 0 87 56 2 37 0 95 4 2 0 27 4 10 41UC East Staffordshire 127 59 23 0 65 63 1 25 0 75 3 2 0 9 09 17 09 41UD Lichfield 81 48 26 0 88 60 7 3 2 1 00 8 3 0 38 10 41UE Newcastle under Lyme 131 60 3 2 0 86 60 9 3 2 0 99 9 4 3 0 98 41 3 0 98 41UF South Staffordshire 147 52 23 0 73 57 7 26 0 82 9 3 0 00 3 5 2 00 41UG Stafford 152 67 28 0 75 65 5 27 0 87 6 3 02 26 1 02 41UH Staffordshire Moorlands 99 45 26 0 79 58 0 33 0 90 5 2 16 28 4 16 41UK Tamworth 68 37 26 0 86 58 5 43 0 98 42UB Babergh 88 40 24 0 80 53 1 33 0 86 6 3 2 2 38 6 2 42UC Forest Heath 69
10. 10 Holding gripping or turning 11 None 99 Not applicable EHLTHM Type of longstanding health condition or disease 1 Problems with arms or hands code 1st main type which includes arthritis or rheumatism 2 Problems with legs or feet which includes arthritis or rheumatism 3 Problems with back or neck which includes arthritis or rheumatism 4 Cancer 5 Skin conditions including allergic reactions and severe disfigurement 6 Heart blood pressure or circulation problems 7 Chest or breathing problems including asthma and bronchitis 8 Stomach liver kidney or digestive problems 9 Diabetes 44 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database 10 Epilepsy include fits 11 Severe headache such as migraine 12 Learning difficulties reading spelling or math disability 13 Chronic anxiety 14 Depression 15 Other mental nervous or emotional problems 16 Other progressive illnesses which include multiple sclerosis HIV Alzheimer s disease Parkinson s disease 17 Other longstanding health problems 18 No longstanding health conditions or diseases 99 Not applicable EHLTHS Type of longstanding health condition or disease 1 Problems with arms or hands code 2nd main type which includes arthritis or rheumatism 2 Problems with legs or feet which includes arthritis or rheumatism
11. 3 04 29UQ Tunbridge Wells 32 58 0 68 64 4 2 6 0 81 4 2 1 17 22 2 18 30UD Burnley 66 36 0 84 51 5 4 2 0 92 9 5 6 00 73 24 01 30UE Chorley 64 54 0 70 65 4 26 0 84 7 2 0 10 29 2 10 30UF Fylde 74 33 0 64 53 4 29 0 70 4 2 1 2B 3 1 8 23 30UG Hyndburn B 33 0 86 53 7 4 1 0 97 4 2 0 9 01 3 1 5 01 30UH Lancaster 45 62 0 94 55 2 3 1 1 04 5 2 3 33 21 2 33 30UJ Pendle 87 34 0 96 47 1 3 9 1 03 8 4 2 02 5 2 7 02 30UK Preston 85 68 0 85 63 0 28 1 00 8 3 2 15 3 0 4 15 30UL Ribble Valley 56 25 0 88 51 7 4 6 0 95 4 2 0 9 0 98 3 6 7 0 98 30UM Rossendale 61 29 0 88 55 6 4 6 1 00 6 3 1 01 5 9 2 2 02 30UN South Ribble 21 54 0 75 56 6 26 0 81 6 3 4 30 3 0 5 30 30UP West Lancashire 34 51 0 69 57 9 2 6 0 78 4 2 0 8 02 19 0 9 02 30UQ Wyre 09 48 0 75 53 1 28 0 81 8 4 2 0 98 4 0 3 0 99 31UB Blaby 39 48 0 68 64 7 27 0 80 8 3 0 0 98 4 0 3 0 98 31UC Charnwood 222 81 0 89 59 6 26 1 01 18 7 8 12 5 2 3 12 31UD Harborough 96 42 0 74 56 2 29 0 80 6 3 3 20 41 7 20 31UE Hinckley and Bosworth 02 46 0 73 52 2 28 0 80 6 2 0 0 96 28 1 0 97 31UG Melton 62 27 0 83 61 9 4 2 0 91 3 1 0 7 04 29 7 04 31UH North West Leicestershire 15 42 0 81 57 6 3 2 0 92 8 3 1 05 43 5 05 31UJ Oadby and Wigston 7 2 0 75 59 2 3 6 0 84 3 1 0 6 0 98 24 3 0 99 32UB Boston 74 34 0 77 62 0 3 6 0 86 3 1 0 7 02 23 3 02 32UC East Lindsey 46 53 0 79 47 6 24 0 85 15 5 4 04 47 3 04 32UD Lincoln 14 50 0 76 63 7 3 2 0 87 9 5 6 11 5 7 2 0 At 32UE North Kesteven 66 51 0 76 60 5 27 0 91 12 4 2 06 49 4 06 32UF South Holland 0
12. 43 0 23 0 22 0 22 0 20 0 24 0 27 0 32 0 29 0 36 0 33 0 30 0 35 0 29 0 38 0 32 0 31 0 34 0 25 19 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database Local Authority Area Average Grossing Factor AGF 1000 22UB Basildon 537 6 0 54 22UC Braintree 372 7 0 37 22UD Brentwood 517 5 0 52 22UE Castle Point 425 3 0 43 22UF Chelmsford 333 1 0 33 22UG Colchester 403 4 0 40 22UH Epping Forest 438 3 0 44 22UJ Harlow 457 3 0 46 22UK Maldon 343 2 0 34 22UL Rochford 483 0 0 48 22UN Tendring 366 4 0 37 22UQ Uttlesford 398 9 0 40 23UB Cheltenham 382 7 0 38 23UC Cotswold 344 0 0 34 23UD Forest of Dean 336 4 0 34 23UE Gloucester 390 9 0 39 23UF Stroud 391 7 0 39 23UG Tewkesbury 333 8 0 33 24UB Basingstoke and Deane 365 9 0 37 24UC East Hampshire 347 6 0 35 24UD Eastleigh 418 7 0 42 24UE Fareham 461 6 0 46 24UF Gosport 520 7 0 52 24UG Hart 436 6 0 44 24UH Havant 407 1 0 41 24UJ New Forest 378 1 0 38 24UL Rushmoor 395 6 0 40 24UN Test Valley 456 5 0 46 24UP Winchester 355 5 0 36 26UB Broxbourne 471 4 0 47 26UC Dacorum 404 4 0 40 26UD East Hertfordshire 406 2 0 41 26UE Hertsmere 440 9 0 44 26UF North Hertfordshire 312 2 0 31 26UG St Albans 392 4 0 39 26UH Stevenage 380 7 0 38 26UJ Three Rivers 339 8 0 34 26UK Watford 399 9 0 40 26UL Welwyn Hatfield 474 4 0 47 29UB Ashford 356 5 0 36 29UC Canterbury 450 5 0 45 29UD Dartford 471 7 0 47 29UE Dover 389 6 0 39 29UG Gravesham 532 4 0 53
13. 461 111 27 075 563 14 083 48 2 1 6 1 04 5 9 08 1 05 AR Havering 328 109 3 5 0 82 55 5 18 091 30 10 2 0 1 15 5 1 1 0 1 15 AS Hillingdon 397 139 3 9 080 62 6 80 94 35 B 21 1 04 5 8 1 0 1 05 AT Hounslow 433 133 3 6 0 83 64 1 17 097 35 11 21 1 22 55 1 0 1 22 AU Islington 357 111 33 0 86 60 5 18 095 39 1 19 1 09 6 1 1 0 1 10 AW Kensington and Chelsea 439 74 22 0 96 58 1 8 1 07 33 6 13 1 45 4 6 1 0 1 46 AX Kingston upon Thames 405 86 23 0 81 64 2 17 0 94 27 6 11 1 00 4 2 0 8 1 01 Af Lambeth 364 186 5 0 0 85 71 6 9 10 33 16 28 1 07 6 1 11 1 08 AZ Lewisham 421 142 38 080 64 8 8 0 96 42 17 2 6 1 11 79 12 1 13 BA Merton 392 109 26 073 67 0 16 087 20 5 12 1 00 34 07 1 00 BB Newham 415 141 49 1 01 575 20 116 55 19 2 9 1 24 79 12 1 25 BC Redbridge 429 131 3 8 0 84 59 0 17 097 47 16 24 1 16 7 0 11 117 BD Richmond upon Thames 458 101 23 072 66 8 15 0 84 16 4 0 9 1 04 26 0 6 1 05 BE Southwark 427 141 45 0 95 58 4 18 107 53 18 26 1 18 74 11 1 19 BF Sutton 315 100 26 0 69 64 9 17 081 22 7 15 1 06 43 1 0 1 07 BG Tower Hamlets 390 125 39 087 59 4 19 101 63 20 24 1 02 95 11 1 04 BH Waltham Forest 370 130 38 081 62 9 18 095 29 1 2 0 1 08 5 2 10 1 09 BJ Wandsworth 345 172 48 0 85 67 7 19 09 33 18 3 0 1 12 7 0 12 1 13 ek westninste 466 115 41 1 19 60 9 22 133 29 7 18 1 48 3 9 1 0 1 48 BL Botton 754 119 28 0 85 55 2 13 0 9 81 14 15 1 08 6 4 0 7 09 BM Bury 644 88 20 080 60 8 14 092 3 6 1 0 1 07 43 07 1 08 BN Manchester 812 226 53 0 92 55 2 13 103 89 26 28 1 09 6 4 0 7 09 BP Ol
14. 6 0 7 1 07 5 5 0 7 1 07 PF Rhondda Cynon Taff 647 100 2 5 0 86 52 7 1 3 0 95 78 13 1 6 1 16 7 0 0 8 1 16 PH Merthyr Tydfil 463 25 0 7 0 85 51 8 1 5 0 93 46 3 0 4 1 14 5 7 0 9 1 15 PK Caerphilly 735 8i 1 9 0 88 56 3 1 3 0 98 58 7 0 9 1 12 47 0 6 1 12 PL Blaenau Gwent 416 28 0 9 0 88 48 6 1 6 0 95 71 5 0 6 1 20 8 8 14 1 21 PM Torfaen 665 39 0 9 0 85 52 9 1 3 0 94 77 5 0 6 1 11 6 6 0 8 111 PP Monmouthshire 860 43 0 8 0 75 57 8 1 0 0 83 44 2 0 3 1 05 3 1 0 5 1 05 PR Newport 590 64 1 6 0 82 54 8 1 3 0 91 47 5 0 8 1 08 47 0 7 1 08 PT Cardiff 786 166 43 1 02 58 6 1 5 1 14 63 16 2 3 1 30 5 8 0 8 1 31 34 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database Employment ILO Unemployment Total Rate Total Rate Sample Standard Design Standard Design Sample Standard Design Standard Design Size Estimate Error Factor Estimate Error Factor Size _ Estimate Error Factor Estimate Error Factor Scotland 18 974 2 494 13 8 1 08 57 4 0 3 1 20 1 363 209 73 1 47 48 0 2 1 47 0 0 0 0 QA Aberdeen City 734 123 3 6 1 23 65 2 1 9 1 38 30 6 1 4 1 45 3 3 0 8 1 45 QB Aberdeenshire 598 136 2 9 0 77 65 5 14 0 90 22 6 1 4 1 25 2 8 0 7 1 25 QC Angus 611 54 1 4 0 91 56 3 1 5 1 01 32 4 0 9 1 53 42 0 9 1 54 QD Argyll amp Bute 678 40 0 8 0 75 56 8 11 0 83 29 2 0 4 1 24 27 0 5 1 24 QE Scottish B
15. 85 7 3 11 1 16 37 5 47 7UJ North East Derbyshire 2 47 24 0 77 58 0 3 0 0 86 4 2 0 8 0 97 2 0 0 0 97 7UK South Derbyshire 2 49 24 0 76 65 9 3 2 0 91 8UB East Devon 26 58 27 0 71 51 9 25 0 78 4 2 0 03 18 0 9 04 BUC Exeter 3 60 33 0 90 62 4 34 1 04 4 3 0 00 26 11 00 8UD Mid Devon 98 39 22 0 80 62 5 3 6 0 93 3 1 0 8 3 19 1 2 B 8UE North Devon 05 41 25 0 83 54 6 34 0 92 7 3 1 0 96 41 14 0 96 8UG South Hams 43 41 20 0 80 63 6 3 1 0 94 7 2 0 9 12 3 2 13 12 8UH Teignbridge 56 58 24 0 72 58 9 24 0 82 8 3 4 0 99 33 11 00 8UK Torridge 66 29 23 0 88 55 1 4 4 0 97 6 3 i 07 49 21 08 8UL West Devon 57 28 8 0 72 59 4 3 8 0 78 UC Christchurch 81 19 2 0 72 46 4 29 0 78 4 1 0 5 00 26 12 00 SUD East Dorset 90 2 5 0 68 58 2 21 0 76 8 2 0 7 Fi 25 10 1 QUE North Dorset 59 36 3 0 68 65 5 24 0 79 3 1 0 5 19 14 0 9 19 9UG Purbeck 94 20 1 0 72 58 4 31 0 83 6 2 0 6 12 4 18 12 QUH West Dorset 89 49 7 0 71 59 0 21 0 79 8 2 0 8 04 27 0 9 04 9UJ Weymouth and Portland 2 28 5 0 70 51 9 27 0 76 0 4 A 36 72 25 37 20UB Chester le Street 75 24 4 0 68 54 1 3 2 0 75 8 3 il 21 63 25 2 20UD Derwentside 27 37 21 0 83 523 3 0 0 93 2 4 3 a 5 1 8 28 20UE Durham 3 45 25 0 85 55 9 3 1 0 92 6 3 2 3 3 8 4 3 20UF Easington n 40 23 0 82 54 4 31 0 92 3 5 3 05 63 7 06 20UG Sedgefield 26 39 19 0 74 55 2 27 0 83 8 6 2 0 95 8 0 7 0 96 20UH Teesdale 25 9 15 1 03 43 5 6 8 1 07 3 1 0 6 0 92 5 6 27 0 92 20U Wear Valley 7 25 18 0 87 48 8 3 6 0 95 0 3 07 6 6 2 0 08 21UC Eastbour
16. EU Warrington 765 02 3 on 61 6 11 081 46 6 0 9 06 3 9 06 106 EX Blackburn with Darwen 659 60 5 084 51 4 13 0983 58 5 0 7 08 4 6 06 109 EY Blackpool 641 59 5 091 51 8 13 09 53 5 0 8 16 46 07 116 FA Kingston upon Hull City of 693 09 27 0 89 53 0 13 0 98 106 18 18 15 8 5 09 116 FB East Riding of Yorkshire 696 55 37 087 57 0 14 097 51 B 19 18 47 07 119 FC North East Lincolnshire 735 70 7 088 54 7 13 0 98 86 9 0 9 08 6 6 07 108 FD North Lincolnshire 732 80 6 07 58 0 11 0 86 43 5 0 8 08 37 06 108 FF York 878 00 9 083 58 2 11 0 90 40 5 0 8 06 28 04 106 FK Derby 792 15 23 081 56 0 11 0 89 75 11 13 11 5 5 o7 111 FN Leicester 766 41 3 2 0 85 53 8 12 095 126 25 22 07 9 4 08 108 FP Rutland 202 16 06 072 57 5 20 079 3 0 0 1 00 0 9 05 100 FY Nottingham 763 27 35 103 49 5 14 1 100 18 18 15 68 07 115 27 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database Employment ILO Unemployment Total Rate Total Rate Sample Standard Design Standard Design Sample Standard Design Standard Design Size _Estimate Error Factor Estimate Error Factor Size Estimate Error Factor Estimate Error _ Factor GA Herefordshire County of 905 88 16 080 56 7 1 0 87 49 5 08 15 33 05 15 GF Telford and Wrekin 7
17. household level are consistent The APS household level weight is PHHWTA14 from JD 2006 Similar weighting methodology is used to the household level LFS dataset but with a more detailed set of calibration groups Note due to changes from JD11 there are some additional cases included in the dataset compared to JD06 JD10 These cases are 1 households where everyone has an IOUTCOME of 6 data brought forward from previous quarter and THISWV 2 3 or 4 2 households where everyone has an IOUTCOME of 3 non response 3 households where everyone has an IOUTCOME of either 6 or 3 and THISWV 2 3 or 4 This won t have any impact on weighted analysis since these cases have a zero weight but it could have an impact if looking at the unweighted data Geography variables There have been changes to the geography variables which has involved some existing variables being removed and new ones added This will affect the APS government datasets both person and household level from JD14 The change is due to ONS Geography moving to using a nine digit coding structure in 2011 and the availability of new geographies following the 2011 Census previously the information was sourced from current ONS geographical products supported geographies and old postcode directories unsupported 11 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database The new geography variables mostly nine digit can be seen
18. living in the household 2 more than 10 hours and up to 20 hours 3 more than 20 hours and up to 30 hours 4 more than 30 hours and up to 40 hours 5 more than 40 hours 6 No use of childcare services 9 Not applicable EVARHOUR Variable working hours 1 Fixed start and end of a working day or varying working time as decided by the employer 2 Flexitime Working time banking 3 Daily number of hours fixed but some flexibility within the day 4 Determines own work schedule no formal boundaries at all 5 Other 9 Not applicable a Reduced working hours to take care of the 1 Yes youngest child in the household for at least one 2 No month excluding maternity leave 9 Not applicable aaa Possible to vary start and or end of working day 1 Generally possible for family reasons at least one hour 2 Rarely possible 3 Not possible 9 Not applicable EPARLEAV Full time parental leave of at least one month 1 No has not taken full time taken to care for the youngest child in the parental leave for at least one household excluding maternity leave month 2 up to 3 months 3 more than 3 months and up to 6 months 4 more than 6 months and up 42 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database to 1 year 5 more than 1 year 6 Leave is still ongoing 9 Not applicable ESTOPWRK Stopped working to take care of the young
19. low but the design effects for some ethnic groups are very high This makes it very difficult to come up with design effects for every eventuality For the quarterly LFS a design effect of 1 is assumed for all estimates except those for characteristics of minority ethnic groups where a design effect of 2 5 is assumed As noted above this calculation leads to an individual threshold for each local authority ONS recognises that this would be very complex to implement and recommend the use of one of three threshold bands The table below shows how the approximate thresholds have been used to assign areas to these bands Approximate threshold Threshold band 5000 6000 3000 4999 4000 0 2999 2000 37 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database For Wales the theoretical threshold for each unitary authority was not banded as above but simply rounded to the nearest thousand This resulted in thresholds for the 23 UAs in Wales ranging from 1 000 to 4 000 For the 32 Scottish UAs the ideal thresholds were rounded for the total employed and unemployed Thresholds thus range from 1 000 to 5 000 38 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database ANNEX E List of the Eurostat Ad hoc Module Variables JD08 EACCESS Whether current legal access to the labour 1 Yes access restricted to market is restricted emp
20. quarterly survey of approximately 41 000 UK households per quarter Each household is surveyed over five quarters with the final fifth interview one year after the first It is designed to provide robust national labour market and macroeconomic information but its sample size is insufficient to provide reliable data at local level Therefore annual datasets are produced for local area analysis originally from the quarterly datasets and then with additional boost surveys SECTION 2 ANNUAL LOCAL AREA DATABASE LADB The Local Area Database LADB was first created in 1996 with the aim to make available more accurate data for Unitary Authority local authority districts UA LADs The first design of the annual database consisted of responses from four quarters of the quarterly LFS Each quarter s LFS sample of households is made up of 5 waves Each wave is interviewed in 5 successive quarters such that in any one quarter one wave will be receiving their first interview one wave their second and so on with one receiving their fifth and last interview see diagram below The LADB was created by taking waves 1 and 5 from each of four consecutive quarters to obtain an annually representative sample Over the period of four consecutive quarters waves one and five will never contain the same households and so this avoids the inclusion of responses from any household more than once in an annual dataset Wave structure of the LFS When t
21. stay longer at work 1 Yes 2 No 9 Not applicable BE AWDOFF Period off work because of accident 00 Still off work as has not yet recovered from accident but expects to resume work later 01 Expects never to return to work again because of this accident 02 Less than one day or no time off 03 At least one day but less than four days 04 At least four days but less than two weeks 05 At least two weeks but less than a month 06 At least one month but less than three months 07 At least three months but less than six months 08 At least six months but less than nine months 48 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database AWJOB Job of accident AWNUMBR Accidents at work in the last 12 months AWROAD Type of accident at work MENTRISK Exposure to mental well being risk factors ll Exposure to physical health risk factors Period off work because of health problem 09 Between nine and twelve months 99 DNA 1 Main current job 2 Second current job 3 Last job 4 Job one year ago 5 Some other job 1 A road traffic accident 2 Accident other than road 1 Yes mainly due to severe time pressure or overload of work 2 Yes mainly due to violence or threat of violence 3 Yes mainly due to harassment or bullying 9 DNA 0 None 1 Yes mainly due to difficult work postures or work movements 2 Yes ma
22. totals segregated by ethnic group can be substantial For the annual LFS based surveys it is appropriate to take account of the design effects in the thresholds for estimates of variables by ethnic groups The local design effects may be different from the regional and national design effects because of local variations in household size and because of variations in the proportions of households in multi occupied dwellings in different areas It is recommended for the ALALFS datasets in England that a single multiplier of 2 5 is applied to the general thresholds for most ethnic estimates1 A separate analysis of the WLFS recommended a multiplier of 4 0 in Cardiff and 2 5 in the rest of Wales The SLFS uses the same multipliers of the standard thresholds as in England and hence a multiplier of 2 5 is applied to the existing threshold These thresholds can also be applied to the APS Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database Eurostat Ad hoc module variables and weight From 2008 the JD APS person datasets have had additional variables added to the government cuts these are known as the Eurostat Ad Hoc Modules AHM and the Eurostat wave 1 weight EWEIGH14 Under Regulation EC No 577 98 Eurostat includes a number of variables each year which provide information on aspects of the labour market that do not form part of the standard questionnaire This set of variables constitute an ad hoc
23. was called the Annual Population Survey To avoid confusion between the whole dataset and the new boost the whole dataset was called the Annual Population Survey APS and the new boost was called the APS B Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database The respondents included in the APS B boost did not answer all the questions included in the main LFS and other sample boosts ELLFS WLFS and SLFS Therefore some estimates from the APS such as those relating to qualifications are based on a subset of the database excluding the APS B cases With the introduction of the APS it was decided that the annual data should be published four times a year rather than just once as had been the case with the ALALFS Data are now published quarterly for overlapping annual periods January to December April to March July to June and October to September In 2006 funding for the APS B was withdrawn and so the structure of the Annual Population Survey reverted to the same as the ALALFS that is waves 1 and 5 of the quarterly LFS plus the Local Labour Force Survey LLFS for England Wales and Scotland However the name Annual Population Survey has been retained and the data continue to be published four times a year and all questions are now based on the complete database The figure below shows the current structure of the APS with highlighted waves forming part of the APS Janu
24. 0 38 0 68 50 1 27 0 75 7 3 0 0 97 3 6 3 0 98 32UG South Kesteven 97 68 0 80 59 8 25 0 91 11 5 6 28 4 0 4 28 32UH West Lindsey 02 39 0 86 54 2 3 4 0 97 7 3 2 15 4 2 6 16 33UB Breckland 57 58 0 75 54 2 24 0 83 16 6 6 12 55 5 12 33UC Broadland 7 60 0 70 59 4 24 0 79 8 3 0 9 0 88 2 6 0 9 0 89 33UD Great Yarmouth 21 46 0 69 61 6 29 0 82 8 3 1 0 97 4 1 4 0 97 33UE Kings Lynn and West Norfolk 49 65 0 79 52 3 25 0 87 8 4 4 12 3 0 4 13 33UF North Norfolk 08 46 0 83 513 29 0 87 4 2 0 9 12 18 0 12 33UG Norwich 3 67 0 92 60 1 3 0 1 03 15 6 6 04 5 6 4 05 33UH South Norfolk 3 62 0 75 59 7 25 0 85 10 5 7 29 47 6 29 34UB Corby 75 30 0 63 61 3 33 0 75 8 3 1 05 5 8 22 06 34UC Daventry 91 38 0 73 60 9 3 2 0 83 3 1 0 7 05 2 0 2 05 34UD East Northamptonshire 11 42 0 78 62 1 33 0 89 12 5 4 04 7 6 21 05 34UE Kettering 03 50 0 65 65 6 28 0 78 4 2 0 06 2 6 3 07 34UF Northampton 264 106 0 82 62 6 22 0 95 25 10 2 0 08 6 0 2 09 34UG South Northamptonshire 64 52 0 72 75 4 27 0 92 3 1 0 8 AL 14 1 At 34UH Wellingborough 01 35 0 71 60 4 33 0 84 11 4 2 0 97 73 21 0 98 35UB Alnwick 94 v7 0 81 59 9 3 4 0 88 3 1 0 3 09 19 2 09 35UC Berwick upon Tweed 59 12 0 66 50 1 3 1 0 70 4 1 0 4 05 37 8 06 31 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database
25. 0 76 9 3 10 0 94 31 0 0 94 43UM Woking 17 53 22 0 67 66 0 27 0 78 5 2 09 0 90 28 4 0 90 44UB North Warwickshire 57 29 19 on 58 0 3 8 0 81 5 3 13 20 56 26 21 44UC Nuneaton and Bedworth 4 62 26 on 614 26 0 82 10 4 13 00 43 3 o 44UD Rugby 01 49 22 0 68 59 0 27 0 76 5 2 09 0 94 29 2 0 94 44UE Stratford on Avon 83 59 23 075 589 23 0 83 6 2 08 05 19 08 05 44UF Warwick 203 1 23 0 68 65 2 21 0 81 11 3 11 o 32 0 0 45UB Adur 56 31 22 0 78 65 7 47 0 95 3 2 09 8B 34 g 8B 45UC Arun 53 B 25 0 59 573 20 0 67 3 2 09 11 12 07 1 45UD Chichester 38 59 26 0 74 624 26 0 81 10 4 2 0 94 42 3 0 94 SUE Crawley 28 53 27 0 84 63 5 33 1 00 16 8 21 2 94 25 B 45UF Horsham n 68 23 0 65 65 9 23 0 78 6 2 3 17 21 0 17 45UG Mid Sussex 95 7 22 0 58 68 0 19 0 70 7 2 09 0 90 21 08 0 90 SUH Worthing 09 47 27 0 80 523 3 0 0 87 8 4 7 00 39 4 00 46UB Kennet 31 a 21 0 84 60 4 3 0 0 94 12 4 0 8B 51 5 8B 46UC North Wiltshire 261 64 24 0 82 59 2 22 0 94 23 6 3 11 57 2 12 46UD Salisbury 16 62 21 0 68 65 8 23 0 81 4 1 07 09 15 08 09 46UF West Wiltshire 237 59 22 077 59 6 22 0 90 2 6 12 0 97 6 0 2 0 98 47UB Bromsgrove 27 49 19 0 64 633 24 0 73 5 2 09 04 24 1 1 04 47UC Malvern Hills 98 39 21 0 80 625 34 0 90 5 2 09 06 34 5 1 06 47UD Redditch 46 4 18 071 66 9 27 0 85 5 2 07 0 25 3 103 47UE Worcester 15 50 28 0 89 60 7 34 1 00 6 4 15 2B 43 8 1 26 47UF Wychavon n 58 25 0 78 60 6 26 0 89 6 2 08 093 19 08 093 47UG Wyre Forest 32 48 25 0 85 60 1 31 0 96 10 4 13 16 46 6 117 33
26. 1 1 4 0 76 58 8 1 2 0 85 4i 5 0 8 1 20 3 9 0 6 1 21 RC Renfrewshire 646 83 17 0 76 57 8 1 2 0 85 48 6 0 9 1 07 43 0 6 1 08 RD Shetland Islands 122 12 0 5 0 71 66 6 27 0 83 4 0 0 2 1 09 23 1 1 1 09 RE South Ayrshire 622 51 11 0 78 54 8 1 2 0 85 41 4 0 7 1 23 4 0 0 7 1 23 RF South Lanarkshire 704 151 3 4 0 84 58 7 1 3 0 94 64 15 2 0 1 18 5 9 0 8 1 19 RG Stirling 526 42 11 0 88 57 5 1 5 0 98 38 3 0 6 1 19 4 6 0 8 1 20 RH West Lothian 681 85 1 8 0 80 60 7 1 3 0 91 52 7 1 0 1 07 4 9 0 7 1 07 RJ Eilean Siar Western Isles 200 12 0 5 0 77 53 8 2 1 0 83 15 1 0 3 1 13 4 6 1 2 1 13 Northern Ireland 2 867 804 9 2 0 82 56 2 0 6 0 93 214 63 4 5 1 09 44 0 3 1 09 35 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database ANNEX D Calculating thresholds for England Wales amp Scotland This Annex explains how the publication thresholds were calculated for different areas for annual LFS data in GB ONS does not use these thresholds now but they can still be used as a simple way of identifying cells with high sampling variability It is the nature of sampling variability that the smaller the group whose size is being estimated or from which an estimate is being derived the less precise that estimate is relative to its size Put another way the size of the standard error increases with the level of the estimate so that the larger the estimate the larger is the standard error But the larger the estimate the smal
27. 260 7 0 26 BP Oldham 128 2 0 13 BQ Rochdale 109 4 0 11 BR Salford 137 0 0 14 BS Stockport 154 6 0 15 BT Tameside 131 3 0 13 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database Average Grossing Local Authority Area Factor AGF 1000 BU Trafford 137 1 0 14 BW Wigan 194 3 0 19 BX Knowsley 87 7 0 09 BY Liverpool 233 7 0 23 BZ St Helens 103 6 0 10 CA Sefton 172 1 0 17 CB Wirral 191 7 0 19 CC Barnsley 136 4 0 14 CE Doncaster 185 3 0 19 CF Rotherham 148 1 0 15 CG Sheffield 356 1 0 36 CH Gateshead 126 6 0 13 CJ Newcastle upon Tyne 155 3 0 16 CK North Tyneside 134 6 0 13 CL South Tyneside 76 4 0 08 CM Sunderland 155 7 0 16 CN Birmingham 482 1 0 48 CQ Coventry 209 7 0 21 CR Dudley 196 3 0 20 CS Sandwell 173 5 0 17 CT Solihull 111 8 0 11 CU Walsall 164 4 0 16 CW Wolverhampton 122 3 0 12 CX Bradford 319 7 0 32 CY Calderdale 126 9 0 13 CZ Kirklees 277 1 0 28 DA Leeds 373 3 0 37 DB Wakefield 176 2 0 18 EB Hartlepool 45 8 0 05 EC Middlesbrough 77 6 0 08 EE Redcar and Cleveland 73 3 0 07 EF Stockton on Tees 123 7 0 12 EH Darlington 59 7 0 06 ET Halton 76 3 0 08 EU Warrington 126 2 0 13 EX Blackburn with Darwen 85 5 0 09 EY Blackpool 84 6 0 08 FA Kingston upon Hull City of 149 8 0 15 FB East Riding of Yorkshire 217 2 0 22 FC North East Lincolnshire 90 6 0 09 FD North Lincolnshire 100 9 0 10 FF York 107 9 0 11 FK Derby 135 3 0 14 FN Leicester 177 5 0 18 FP Rutland 75 0 0 08 FY Notti
28. 27 78 16 080 58 3 2 0 91 67 7 09 11 5 5 07 2 Gl Stoke on Trent 560 108 30 0 88 52 3 4 0 96 52 11 15 06 52 07 06 HA Bath and North East Somerset 845 86 18 089 59 5 2 0 99 36 4 07 at 26 05 1 HB Bristol City of 646 210 56 098 59 6 6 1 10 50 18 28 2 5 1 08 B HC North Somerset 658 95 22 08 56 1 3 0 91 28 5 09 16 27 05 17 HD South Gloucestershire 710 135 26 05 628 2 0 86 39 8 3 05 38 0 6 05 HG Plymouth 805 120 27 089 55 8 2 0 98 81 14 7 28 6 6 08 29 HH Torbay 754 56 2 084 51 2 1 0 91 41 3 05 B 32 05 B HN Bournemouth 718 94 3 085 58 6 2 0 93 49 6 09 7 38 0 5 07 HP Poole 730 75 3 on 62 5 1 0 81 16 2 04 08 14 0 4 08 HX Swindon 655 108 20 0n 61 6 2 0 82 43 7 1 11 40 0 6 JA Peterborough 689 90 3 079 60 4 3 0 90 56 8 0 11 5 0 07 KA Luton 724 4 20 08 59 1 3 0 96 n 9 1 10 59 07 KF Southend on Sea 675 30 7 07 56 0 2 0 85 4 5 08 11 37 0 6 KG Thurrock 668 80 6 O77 60 1 2 0 87 45 5 08 04 41 0 6 04 LC Medway 708 124 238 086 55 8 3 0 95 n 14 6 4 6 2 07 14 MA Bracknell Forest 862 64 09 065 69 9 0 0 78 27 2 04 10 23 05 MB West Berkshire 809 82 13 0 67 4 1 0 83 31 3 07 17 27 0 5 a7 MC Reading 829 82 17 0 64 8 3 1 05 40 4 08 30 35 0 6 3 MD Slough 736 67 13 07 623 3 0 91 65 6 07 05 5 6 07 06 ME Windsor and Maidenhead 881 B 12 02 65 3 0 85 27 2 05 15 21 04 15 MF Wokingham 690 82 14 066 65 7 1 0 78 26 3 0 6 05 25 05 05 MG Milton Keynes 848 125 22 074 620 1 0 85 64 10 3 15 5 0 07 16 ML Brighton and Hove 818 144 32 095 623 4 1 07 63 11 5 12 49 0 6 B MR Portsmouth 767 10
29. 29UH Maidstone 423 3 0 42 29UK Sevenoaks 460 0 0 46 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database Local Authority Area 29UL Shepway 29UM Swale 29UN Thanet 29UP Tonbridge and Malling 29UQ Tunbridge Wells 30UD Burnley 30UE Chorley 30UF Fylde 30UG Hyndburn 30UH Lancaster 30UJ Pendle 30UK Preston 30UL Ribble Valley 30UM Rossendale 30UN South Ribble 30UP West Lancashire 30UQ Wyre 31UB Blaby 31UC Charnwood 31UD Harborough 31UE Hinckley and Bosworth 31UG Melton 31UH North West Leicestershire 31UJ Oadby and Wigston 32UB Boston 32UC East Lindsey 32UD Lincoln 32UE North Kesteven 32UF South Holland 32UG South Kesteven 32UH West Lindsey 33UB Breckland 33UC Broadland 33UD Great Yarmouth 33UE Kings Lynn and West Norfolk 33UF North Norfolk 33UG Norwich 33UH South Norfolk 34UB Corby 34UC Daventry 34UD East Northamptonshire 34UE Kettering 34UF Northampton 34UG South Northamptonshire 34UH Wellingborough 35UB Alnwick 35UC Berwick upon Tweed Average Grossing Factor 332 1 385 4 550 6 476 4 404 8 562 9 348 1 420 5 434 6 403 4 397 4 362 9 442 0 432 0 397 2 396 4 414 5 355 5 364 3 389 2 444 1 398 4 363 9 338 7 396 6 356 1 453 5 314 8 376 1 346 1 351 2 357 4 365 2 382 5 425 3 377 9 376 1 370 1 393 4 390 1 386 6 432 4 363 8 314 7 376 0 175 8 180 2 AGF 1000 0 33 0 39 0 55 0 48 0 40 0 56 0 3
30. 3 22 086 59 8 3 0 96 46 7 0 09 38 0 6 10 MS Southampton 73 119 23 09 58 6 4 1 07 60 10 A 18 48 07 19 MW Isle of Wight 861 58 11 081 49 4 0 0 85 62 5 0 6 16 4 0 05 16 09UC Mid Bedfordshire 242 70 24 09 63 0 22 0 92 14 4 0 0 99 37 09 0 99 09UD Bedford 262 79 26 074 63 5 21 0 87 23 7 6 12 59 3 B 09UE South Bedfordshire 167 62 26 081 61 1 26 0 92 6 2 0 2 24 0 2 1UB Aylesbury Vale 295 89 24 066 63 8 7 0 78 12 4 0 0 98 26 07 0 99 1UC Chiltern 178 45 19 0 63 4 26 0 90 4 1 05 03 12 07 B UE South Bucks 95 31 21 09 53 7 3 6 0 96 8 3 1 2 5 0 8 B 1UF Wycombe 292 89 25 O71 63 3 18 0 82 6 5 1 0 97 33 08 0 97 2UB Cambridge 51 70 29 080 65 3 28 0 90 2 5 6 05 5 0 5 06 2UC East Cambridgeshire 4 43 15 061 65 2 23 0 73 1 05 0 92 15 08 0 92 2UD Fenland 10 46 24 0 16 56 9 29 0 82 4 2 0 97 46 5 0 98 2UE Huntingdonshire 237 39 26 066 65 9 20 0 79 2 07 27 09 07 2UG South Cambridgeshire 239 75 26 05 63 5 22 0 88 1 3 2 B 29 0 14 3UB Chester 41 63 25 01 621 25 0 81 8 4 3 05 35 2 05 3UC Congleton 15 44 20 067 623 28 0 79 8 3 1 0 99 49 6 00 3UD Crewe and Nantwich 27 53 33 092 53 4 33 1 00 4 7 8 2 65 8 B 3UE Ellesmere Port and Neston 95 37 2 0 0 72 58 6 3 2 0 82 7 3 0 00 45 6 01 3UG Macclesfield 94 75 27 0 58 2 21 0 78 6 2 0 07 17 08 07 3UH Vale Royal 46 56 29 08 54 7 29 0 95 9 4 05 3 6 2 05 28 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database
31. 31 1 6 0 64 63 5 33 0 73 3 1 0 8 10 27 7 11 42UD Ipswich 193 66 26 0 76 63 5 25 0 90 18 7 5 04 6 6 5 05 42UE Mid Suffolk 137 50 23 0 75 61 0 27 0 82 42UF St Edmundsbury 172 57 2 2 0 73 66 1 25 0 85 7 2 0 9 08 24 0 08 42UG Suffolk Coastal 171 60 25 0 73 60 3 25 0 83 7 3 0 9 0 94 27 0 9 0 94 32 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database Employment ILO Unemployment Total Rate Total Rate Sample Standard Design Standard Design Sample Standard Design Standard Design Size Estimate Error Factor Estimate Error Factor Size Estimate Error Factor Estimate Error Factor 42UH Waveney 149 4 27 0 3 412 3 0 1 01 18 6 18 1 28 69 3 129 43UB Elmbridge 176 64 27 078 628 27 0 91 5 2 08 0 98 17 08 0 99 43UC Epsom and Ewell 16 37 3 0 1 01 59 1 48 1 13 5 2 1 0 0 98 39 7 0 98 43UD Guildford 64 65 33 0 89 60 5 3 0 1 04 B 6 15 1 06 54 4 107 43UE Mole Valley 15 4 17 0 58 613 26 0 69 5 2 08 0 3 28 2 0 93 43UF Reigate and Banstead 65 5 26 0 66 68 1 24 0 79 4 2 09 0 97 16 08 097 43UG Runnymede 97 4 23 075 65 8 34 0 86 43UH Spelthorne 47 50 20 071 65 1 27 0 86 6 2 09 04 28 4 04 43U Surrey Heath 09 43 22 0 76 583 32 0 86 11 4 16 21 6 1 22 21 43UK Tandridge 03 4 18 0 64 68 8 29 0 79 3 1 07 06 2 0 1 06 43UL Waverley 55 55 22 0 66 56 7 23
32. 5 0 42 0 43 0 40 0 40 0 36 0 44 0 43 0 40 0 40 0 41 0 36 0 36 0 39 0 44 0 40 0 36 0 34 0 40 0 36 0 45 0 31 0 38 0 35 0 35 0 36 0 37 0 38 0 43 0 38 0 38 0 37 0 39 0 39 0 39 0 43 0 36 0 31 0 38 0 18 0 18 21 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database Local Authority Area 35UD Blyth Valley 35UE Castle Morpeth 35UF Tynedale 35UG Wansbeck 36UB Craven 36UC Hambleton 36UD Harrogate 36UE Richmondshire 36UF Ryedale 36UG Scarborough 36UH Selby 37UB Ashfield 37UC Bassetlaw 37UD Broxtowe 37UE Gedling 37UF Mansfield 37UG Newark and Sherwood 37UJ Rushcliffe 38UB Cherwell 38UC Oxford 38UD South Oxfordshire 38UE Vale of White Horse 38UF West Oxfordshire 39UB Bridgnorth 39UC North Shropshire 39UD Oswestry 39UE Shrewsbury and Atcham 39UF South Shropshire 40UB Mendip 40UC Sedgemoor 40UD South Somerset 40UE Taunton Deane 4OUF West Somerset 41UB Cannock Chase 41UC East Staffordshire 41UD Lichfield 41UE Newcastle under Lyme 41UF South Staffordshire 41UG Stafford 41UH Staffordshire Moorlands 41UK Tamworth 42UB Babergh 42UC Forest Heath 42UD Ipswich 42UE Mid Suffolk 42UF St Edmundsbury 42UG Suffolk Coastal Average Grossing Factor 187 0 168 9 165 8 194 1 380 5 393 7 339 6 338 0 367 2 409 8 279 6 454 4 316 5 417 8 343 0 429 7 388 7 413 8 457 5 513 2 327 1 318 6 378 1 175 1 189 6 205 8 202
33. 52 52 29 0 83 48 8 27 0 92 3 5 3 00 46 3 00 22UQ Uttlesford 5 45 20 0 69 69 2 3 0 0 82 23UB Cheltenham 47 59 26 0 77 61 1 27 0 86 7 2 0 03 26 0 03 23UC Cotswold 26 43 25 0 92 63 6 3 6 1 03 5 2 0 7 0 95 2 4 1 0 95 23UD Forest of Dean 3 37 23 0 85 54 6 34 0 95 9 5 29 67 23 30 23UE Gloucester 49 62 29 0 81 63 1 29 0 95 10 5 14 45 15 23UF Stroud 56 59 22 0 66 65 5 25 0 80 6 3 4 ii 3 0 3 11 23UG Tewkesbury 4 40 18 0 67 59 3 27 0 77 4 1 0 7 01 21 0 01 24UB Basingstoke and Deane 233 90 23 0 58 68 3 18 0 73 12 4 3 04 33 0 04 24UC East Hampshire 54 57 22 0 70 65 7 26 0 85 7 3 2 17 33 3 17 24UD Eastleigh 31 60 27 0 75 58 4 27 0 86 8 4 6 a 3 6 5 28 24UE Fareham 2 57 27 0 73 62 6 3 0 0 86 7 3 1 0 95 3 4 3 0 96 24UF Gosport 70 39 28 0 83 55 0 3 9 0 91 6 4 8 26 54 25 a 24UG Hart 2 48 21 0 68 64 1 29 0 78 3 2 0 9 06 2 0 1 06 24UH Havant 31 55 31 0 88 56 3 3 1 0 97 9 4 2 4 1 5 12 24U New Forest 230 88 29 0 70 63 1 21 0 83 10 4 3 11 28 0 11 24UL Rushmoor 1 46 23 0 74 58 2 29 0 82 5 2 0 9 02 26 2 02 24UN Test Valley 27 62 29 0 80 66 8 31 0 95 4 2 0 10 2 0 a 10 24UP Winchester 65 57 27 0 84 63 4 3 1 1 0 7 3 i 08 3 2 2 09 26UB Broxbourne 01 47 24 0 71 64 3 33 0 85 4 2 0 9 00 25 3 00 26UC Dacorum 203 82 26 0 68 69 9 22 0 8 4 2 0 9 04 14 07 04 26UD East Hertfordshire 77 B 24 0 64 66 2 22 0 77 7 3 1 02 27 0 03 26UE Hertsmere 1 48 22 0 65 61 2 28 0 76 4 2 0 9 0 99 2 2 Al 0 99 26UF North Hertfordshire 96 63 22 0 68 60 7 22 08 7 6 3 03 53 3 04 26UG St Alba
34. 5y xr03 InecacO5y xr04 hitqual05y xr05 hiqual05y xr06 levqual05y xr07 xr08 xr09 xr10 xr11 PWLFS Non Core or Non Core amp Core 15 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database ANNEX B Average grossing factors mean weights for Unitary Authorities Local Authority District areas from the January December 2013 APS data Note The Local Authority AA City of London hasn t been included in this table due to the small sample size number of respondents Average Grossing Local Authority Area Factor England 224 9 0 22 AB Barking and Dagenham 194 8 0 19 AC Barnet 471 7 0 47 AD Bexley 297 0 0 30 AE Brent 258 8 0 26 AF Bromley 306 1 0 31 AG Camden 248 8 0 25 AH Croydon 431 3 0 43 AJ Ealing 370 0 0 37 AK Enfield 332 9 0 33 AL Greenwich 326 8 0 33 AM Hackney 272 8 0 27 AN Hammersmith and Fulham 183 2 0 18 AP Haringey 265 7 0 27 AQ Harrow 221 8 0 22 AR Havering 303 0 0 30 AS Hillingdon 335 9 0 34 AT Hounslow 277 1 0 28 AU Islington 273 4 0 27 AW Kensington and Chelsea 140 8 0 14 AX Kingston upon Thames 201 5 0 20 AY Lambeth 455 8 0 46 AZ Lewisham 321 9 0 32 BA Merton 257 2 0 26 BB Newham 294 7 0 29 BC Redbridge 281 7 0 28 BD Richmond upon Thames 216 2 0 22 BE Southwark 295 4 0 30 BF Sutton 294 3 0 29 BG Tower Hamlets 300 3 0 30 BH Waltham Forest 323 2 0 32 BJ Wandsworth 427 6 0 43 BK Westminster 211 1 0 21 BL Bolton 154 2 0 15 BM Bury 130 7 0 13 BN Manchester
35. 7 183 2 294 2 333 7 374 0 348 6 376 4 492 6 432 3 342 8 444 6 352 9 423 3 442 4 483 4 423 8 430 8 340 1 372 2 322 1 372 5 AG 1000 0 19 0 17 0 17 0 19 0 38 0 39 0 34 0 34 0 37 0 41 0 28 0 45 0 32 0 42 0 34 0 43 0 39 0 41 0 46 0 51 0 33 0 32 0 38 0 18 0 19 0 21 0 20 0 18 0 29 0 33 0 37 0 35 0 38 0 49 0 43 0 34 0 44 0 35 0 42 0 44 0 48 0 42 0 43 0 34 0 37 0 32 0 37 22 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database Local Authority Area 42UH Waveney 43UB Elmbridge 43UC Epsom and Ewell 43UD Guildford 43UE Mole Valley 43UF Reigate and Banstead 43UG Runnymede 43UH Spelthorne 43UJ Surrey Heath 43UK Tandridge 43UL Waverley 43UM Woking 44UB North Warwickshire 44UC Nuneaton and Bedworth 44UD Rugby 44UE Stratford on Avon 44UF Warwick 45UB Adur 45UC Arun 45UD Chichester 45UE Crawley 45UF Horsham 45UG Mid Sussex 45UH Worthing 46UB Kennet 46UC North Wiltshire 46UD Salisbury 46UF West Wiltshire 47UB Bromsgrove 47UC Malvern Hills 47UD Redditch 47UE Worcester 47UF Wychavon 47UG Wyre Forest Average Grossing Factor AGF 1000 23 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database Local Authority Area Average Grossing Factor AGF 1000 Wales NA Anglesey Isle of NC Gwynedd NE Conwy NG Denbighshire NJ Flintshire NL Wrexham NN Powys NQ C
36. 7 081 57 9 13 092 74 30 3 5 10 6 6 08 110 CH Gateshead 672 88 20 081 53 8 12 0 89 56 8 0 04 48 06 1 04 CJ Newcastle upon Tyne 718 16 3 1 0 96 50 7 14 106 83 5 7 19 63 08 1 20 CK North Tyneside 629 91 21 081 54 6 13 0 89 51 1 2 47 07 12 CL South Tyneside 826 64 13 081 53 4 11 0 89 101 0 8 09 6 9 07 110 CM Sunderland 693 15 27 083 50 6 12 0 90 102 8 2B 8 0 08 114 CN Birmingham 819 420 104 0 93 50 8 13 104 138 75 6 2 07 9 1 08 108 CQ Coventry 617 45 3 7 090 55 6 14 10 49 2 8 2B 46 07 123 CR Dudley 689 40 3 3 0 85 56 1 13 0 95 68 5 15 6 0 08 116 CS Sandwe 700 28 3 2 087 52 9 13 0 97 90 7 05 7 1 07 106 CT Solihull 823 95 18 075 55 5 10 0 82 55 7 0 9 05 3 9 05 105 CU Walsall 609 06 30 0 91 49 3 14 099 74 4 8 20 6 5 08 12 CW Wolverhampton 767 02 25 0 91 49 7 12 09 99 4 5 20 6 9 08 12 CX Bradford 651 222 54 0 84 56 1 14 09 76 27 3 5 2 6 9 09 123 CY Calderdale 705 95 20 078 57 5 12 0 88 62 9 1 05 55 07 106 CZ Kirklees 639 93 48 088 56 0 14 098 47 5 22 08 44 06 108 DA Leeds 918 350 77 092 57 0 13 103 90 37 41 14 6 0 07 15 DB Wakefield 833 148 30 079 56 6 11 089 7 16 18 2 6 1 07 18 EB Hartlepool 727 37 09 0 92 49 2 12 10 120 7 0 6 2B 8 8 08 114 EC Middlesbrough 656 55 4 089 49 4 13 0 97 92 8 0 8 03 73 07 103 EE Redcar and Cleveland 689 55 3 084 50 7 12 0 91 80 7 0 8 15 63 07 135 EF Stockton on Tees 641 88 21 0 86 58 2 14 098 55 8 1 2 18 54 08 119 EH Darlington 788 49 o 07 56 5 11 0 84 67 4 0 6 3 49 06 114 ET Halton 699 56 3 086 54 9 13 0 95 70 6 0 7 A 6 1 07 12
37. ETYEARLFT Year left armed forces e VTYRLFT2 Age left the UK Regular Armed Forces or the UK Reserve Armed Forces e VTYRLFT3 Year left the UK Regular Armed Forces or the UK Reserve Armed Forces The inclusion of veterans data is currently limited to APS government datasets due to statistical disclosure control When carrying out analysis on these IHS variables the APS person weight PWTA14 should be used 10 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database APS Household datasets Household level APS datasets are also available for the January December periods which allow labour market analysis to be carried out on families and households at local area levels and for small sub groups of the population across the UK Additional information can be found in user guides volume 1 background and methodology and 8 household and family data http www ons gov uk ons guide method method quality specific labour market labour market statistics index html The main points to remember between the person and household datasets are e For the household data set non responders are included as they are necessary to identify relationships between household members assign them to complete family units within the household and derive family and household variables e Unlike in the person data sets weights for each person in the same household are equal This ensures that weighted estimates at the
38. K Office for ASS National Statistics Labour Force Survey 2 User Guide VOLUME 6 ANNUAL POPULATION SI VEY LOCAL AREA DATABASE Version 3 September 2015 lt Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database ANNUAL POPULATION SURVEY LOCAL AREA DATABASE CONTENTS Page SECTION 1 INTRODUCTION 00000 cccccececsceeeeeeeeeessssseeeeeeeeeeeeessesssaaeeeeeeees 1 SECTION 2 ANNUAL DAWA occ isc00 ieee Grsrerssieeec atitesira ines Risers et enc 1 The Local Area database LADB cccceeeeeeeeeeeeeeneeeeeeeeeeeeeeeeneeeeeeeeees 1 Annual Local Area LFS ALALFS a anccakecananan ae aitiagiaais 2 The Annual Population Survey APS ccccceeeeeessesecceeeeeeeeeeeseeeneeaeeeeeeees 2 Weighting and Structure of the Local Area Annual Datasets 04 3 Sampling variability of the Local Area Annual Datasets 0000000000000000000 5 Standard error estimates for levels x isisissstisiestiisinstistnsdiininstiniesiiatnsiiieu 6 Standard error estimates for rates cccececceeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeee 7 TIRE SMOIAS in a cd rb ceccebent cde sheeted Aten E coh SbOLL A E con DoOkL a 7 Thresholds for data on ethnicity secs cette aceasta cece tea ke ele heed 8 Eurostat Ad hoc module variables and weight ceeeeeeeeeeeeeeeeeeeeeeeees 9 Wave 1 variables cnnicieriaturininitenainaislatscaiatt
39. ND UKPCA UK Parliamentary constituency PCON9D TTWAO7 Travel to work 2007 TTWAQ9D URINDEW Rural urban classification Eng amp Wales RU11IND PCA UK Parliamentary Constituency Areas PCON9D PCA2010 UK Parliamentary Constituency Areas 2010 PCON9D TTWAO08 Travel to work 2008 TTWA9D NUTS NUTS level NUTS10 NUTS2 NUTS level 2 NUTS102 NUTS3 NUTS level 3 NUTS103 NUTS4 NUTS level 4 NUTS104 54
40. SAMP 2 LLFS cases LFSSAMP 6 APS Boost The two weights on the APS person datasets for the periods from JD04 to JDO5 are e PWAPS14 there is a weight for all cases on the dataset which can be used when looking only at the CORE variables e g age sex ethnic group e PWLFS14 there is only a weight for the LFS LLFS cases The APS boost cases have a 0 value for this weight This weight should be used only when looking at NON CORE variables or when looking at a combination of CORE and NON CORE From April 05 May06 A05M the APS boost was removed with the structure of the APS dataset comprising of LFS and LLFS data As these data were asked both the CORE and NON CORE questions a single weight PWTA14 was present on subsequent APS dataset The 2011 census resulted in revisions to the population estimates and in 2014 15 a reweighted exercise was carried out to reweight the APS historical datasets from JD04 to update the population totals Datasets from this exercise will have a weight with a 14 as the last two digits Sampling variability of the Local Area Annual Datasets As the LFS is a sample survey all estimates from it are subject to sampling variability Sampling variability is dependent on several factors including the size of the sample the size of the estimate as a proportion of the population and the effect of the design of the sample on the variable of interest Standard errors calculated from simple random samples will typi
41. ary December 2013 dataset APS Dataset January December 2013 Jan March April June July Sept Oct Dec 2013 2013 2013 2013 je hey January March 2012 Waves y eaten April June 2012 NEN were ae Ces July Sept 2012 waves waved HENS E d Oct Dec 2012 Wave 2 Wave 3 Wave 4 Wave 5 E Sy Jan March 2013 wave WOVE 2 Naved Waves fe eae April June 2013 meted weve 2 meyas eens July Sept 2013 waved melee rae oe Oct Dec 2013 waya fie Sed FA Dec 2010 vave rae ae oe Dec 2011 waves qe e y Dec 2012 wareg rae See Dec 2013 aged Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database Weighting and Structure of the Local Area Annual Datasets Weighting of the data is done in order to allow the sample to provide estimates relating to the total population and to minimise non response bias Each record s weight is the number of people in the population represented by that one sample member The weights are based on the age and sex structures of the sample and of the population More information on the weighting procedure can be found in Volume 1 of the User Guide For the LADB it is desirable to improve the weighted totals at the local area level This is done by using mid year population estimates for local authorities and taking account of local authority populations as well as the age and sex struc
42. atistical indicators publication can be found at http Awww ons gov uk ons taxonomy index html nscl Local Labour Market Indicators This publication gives an overview of labour markets indicators for local areas and the APS is used for estimates of labour supply The publication includes some summary tables and analysis plus downloadable Excel spreadsheets containing data for all local authorities and parliamentary constituencies ONS s on line guide to labour market statistics http www ons gov uk ons rel Ims labour market guidance guide to labour market statistics guide to Im statistics html also contains information on local area data including information on the annual LFS and APS The Guide to Regional and Local Labour Market Statistics can be found at http webarchive nationalarchives gov uk 201 10218135832 http statistics gov uk download s theme_labour Guide_regional_local_Ims pdf ii Nomis Nomis contains tables of both annual LFS and APS data for a wide range of geographies To access these data visit www nomisweb co uk Regular users are encouraged to register and obtain a user account but the data can be accessed without registering The most recent annual data on Nomis allows some additional functionality such as allowing user defined areas and variables Estimates from the 2003 04 annual LFS and all APS datasets are output along with corresponding 95 confidence intervals Annual LFS APS data are available for the fo
43. cally differ from those calculated from more complicated sample designs such as clustered or stratified samples In the case of the LFS sample design there is a clustering effect This reflects the fact that addresses are sampled but results are estimated for individuals For example ethnic group is particularly clustered since it is likely that all members of a household living at a particular address will share the same ethnic group The sampling fraction is also important in determining sampling variability A sampling fraction is the proportion of households in an area that are interviewed For example if there are 10 000 households and 50 of these are interviewed then the sampling fraction Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database would be 50 10 000 or 1 200 The greater the sampling fraction the larger the sample size and hence the more reliable are the estimates The sampling fraction of the main LFS is consistent across Great Britain However the design of the local area annual samples means that sampling fractions may vary by area English Scottish and Welsh UALAs or LEAs UALADs prior to 2012 receiving a larger boost will have a higher sampling fraction Northern Ireland will see no change The sampling fraction varies so that a pre determined target of economically active adults is achieved across UALAs Where the sampling fraction is consistent over all areas the standar
44. d elderly are not available or affordable 3 Suitable care services for both children and ill disabled and elderly are not available or affordable 4 Care facilities do not ERECARPT Main reason linked with care of other 1 No care services available dependants for not working or working part time 2 Available care services are too expensive 3 Available care services are not of sufficient quality 4 Other reasons linked with the lack of suitable care services 9 Not applicable 43 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database influence decision for labour market participation 9 Not applicable JD11 EDIFFM 1st basic activity difficulty 1 Seeing even if wearing glasses 2 Hearing even if using a hearing aid 3 Walking climbing steps 4 Sitting or standing 5 Remembering concentrating 6 Communicating for example understanding or being understood 7 Reaching or stretching 8 Lifting and carrying 9 Bending 10 Holding gripping or turning 11 None 99 Not applicable EDIFFS 2nd basic activity difficulty 1 Seeing even if wearing glasses 2 Hearing even if using a hearing aid Walking climbing steps 4 Sitting or standing 5 Remembering concentrating 6 Communicating for example understanding or being understood 7 Reaching or stretching 8 Lifting and carrying 9 Bending
45. d error of an estimate of a level is proportional to the size of the estimate It is not possible to provide a table of size of estimate against standard error for the later boosted annual LFS datasets because of the different sampling fractions in different areas however there is a simple conservative formula that can be used to derive the standard errors of estimates of levels A useful benchmark to assess the relative magnitude of a standard error is to calculate the ratio of the standard error derived from a particular complex sample design with the standard error that would have arisen from a simple random sample of the same size This ratio of the standard errors is the design factor It indicates the relative gain or loss in the estimate of standard error which results from the use of a particular complex sample design compared to a corresponding simple random sample A design factor or DEFT of say 1 20 indicates that the standard error of the estimate in question is 20 greater than would have been the case for a simple random sample of the same size The design factor DEFT should not be confused with the design effect DEFF the design effect is the design factor squared and is calculated by the ratio of variances instead of standard errors SE estimates for levels An approximation to the standard error for an estimate of M thousand MT from the annual data can be given by MT Wi 1000 1 where Wi is the average gross
46. dham 706 96 23 0 86 54 6 13 09 64 9 12 111 54 07 111 BQ Rochdale 735 87 20 087 50 8 12 095 65 8 1 0 1 12 4 9 06 12 BR Salford 692 103 26 0 91 54 7 14 102 97 15 15 1 05 8 0 08 06 BS Stockport 847 138 25 076 60 3 11 086 36 7 11 1 07 29 05 1 07 BT Tameside 704 99 24 088 55 1 13 097 68 10 12 1 09 5 8 07 10 26 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database Employment ILO Unemployment Total Rate Total Rate Sample Standard Design Standard Design Sample Standard Design Standard Design Size Estimate Error Factor Estimate Error Factor Size _ Estimate Error Factor Estimate Error Factor BU Trafford 765 108 22 078 58 0 12 0 88 49 8 11 2 4 0 06 123 BW Wigan 733 146 3 3 0 85 57 2 13 0 9 65 15 19 2B 5 8 07 18 BX Knowsley 640 61 16 0 89 51 7 13 097 65 6 0 8 07 55 07 108 BY Liverpool 778 200 55 107 52 4 14 117 98 27 29 20 71 08 12 BZSt Helens 745 80 18 0 85 55 9 130 94 54 6 0 9 A 44 06 11 CA Sefton 679 24 27 078 55 0 12 0 85 59 2 7 16 55 07 117 CB Wirral 693 40 3 3 0 86 54 5 13 095 52 2 3 19 47 07 120 CC Barnsley 752 06 21 075 54 8 11 0 83 82 2 4 07 64 07 108 CE Doncaster 693 30 34 0 91 53 4 14 1 00 69 4 8 10 5 9 0o07 1 CF Rotherham 702 08 27 0 88 52 7 13 0 97 90 5 5 05 74 07 105 CG Sheffield 718 260 5
47. er than code 3 5 No for other reason 39 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database 9 Not applicable e947 Feta PCE ET CHT of services for labour market integration in 1 Yes contact with an adviser the two years following the last arrival for job guidance counselling or job search assistance 2 Yes participation in labour market training programmes 3 Yes participation in host renee language tuition 4 Yes combination of 1 and 2 5 Yes combination of 1 and 3 6 Yes combination of 2 and 3 7 Yes combination of 1 2 and g 8 No not entitled to 9 No for reason other than code 08 99 Not applicable peers Total number of years of residence in the host 99 Not applicable countr E i Main reason for migrating 1 Employment intra corporate transfer 2 Employment job found before migrating 3 Employment no job found 5 International protection 6 Accompanying family family reunification 7 Family formation 8 Other 9 Not applicable i sia Country of birth of father 98 Country unknown but father born abroad 99 Not applicable Rie Country of birth of mother 98 Country unknown but mother born abroad 99 Not applicable DO9_ ECOBPARF Country ofbirthoffather o O ECOBPARM___ Country of birth of mother Pes ECONTRTY Type of contract of the first job of more than 3 1 Self employed months afte
48. eredigion NS Pembrokeshire NU Carmarthenshire NX Swansea NZ Neath Port Talbot PB Bridgend PD Vale of Glamorgan The PF Rhondda Cynon Taff PH Merthyr Tydfil PK Caerphilly PL Blaenau Gwent PM Torfaen PP Monmouthshire PR Newport PT Cardiff Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database Local Authority Area Average Grossing Factor AGF 1000 Scotland QA Aberdeen City QB Aberdeenshire QC Angus QD Argyll amp Bute QE Scottish Borders The QF Clackmannanshire QG West Dunbartonshire QH Dumfries and Galloway QJ Dundee City QK East Ayrshire QL East Dunbartonshire QM East Lothian QN East Renfrewshire QP Edinburgh City of QQ Falkirk QR Fife QS Glasgow City QT Highland QU Inverclyde QW Midlothian QX Moray QY North Ayrshire QZ North Lanarkshire RA Orkney Islands RB Perth and Kinross RC Renfrewshire RD Shetland Islands RE South Ayrshire RF South Lanarkshire RG Stirling RH West Lothian RJ Eilean Siar Western Isles Northern Ireland Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database ANNEX C Sampling Variability for employment and ILO unemployment of persons aged 16 for Unitary Authorities Local Authority District areas from the January December 2013 APS data Note The Local authority AA City of London hasn t been included in this table due to the small sample size number of respondents Some of
49. est 1 No child in the household for at least one month 2 up to 3 months excluding maternity leave 3 more than 3 months and up to 6 months 4 more than 6 months and up to 1 year 5 more than 1 year 6 Has not returned to work yet 9 Not applicable EREGCARE Person regularly takes care of other children up 1 Yes of other children up to to 14 other than own spouse s children living in 14 the household or of ill disabled elderly 2 Yes of relatives friends aged relatives friends aged 15 or more in need of care 15 or more in need of care 3 Yes of other children up to 14 and of relatives friends aged 15 or more in need of care 4 No 9 Not applicable EPOSGWT Possible to organise working time in order to take 1 Generally possible whole days off for family reasons without using 2 Rarely possible holidays 3 Not possible 9 Not applicable ERECHIPT Main reason linked with childcare for not 1 No childcare services working or working part time available 2 Available childcare services are too expensive 3 Available childcare services are not of sufficient quality 4 Other reasons linked with the lack of suitable childcare services 9 Not applicable EIMPFACL Impact of availability and affordability of care 1 Suitable care services for facilities on not working or working part time children are not available or affordable 2 Suitable care services for ill disable
50. getting to and from work 2 Yes the activity difficulty ies 3 Yes both the health condition s disease s and the activity difficulty ies 4 No 9 Not applicable JD12 EAGEPENS Age at which person first received an old age 99 Not applicable pension JEBUILDPEN1 Pension rights built up so far Statutory scheme 46 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database 9 Not applicable EBUILDPEN2 Pension rights built up so far Occupational 0 No scheme 1 Yes 9 Not applicable EBUILDPEN3 Pension rights built up so far Personal scheme 0 No Manel i 9 Not applicable EBUILDPEN4 Pension rights built up so far Scheme unknown _ 0 No eel ee Oe 9 Not applicable ECONTWORK Expects to continue working looking for a job 1 Yes for financial reasons after receiving old age pension 2 Yes for other reasons 3 No stop immediately when receiving old age pension 4 No stop before receiving old age pension 9 Not applicable EEARLYRET Early retirement 1 Yes 9 Not applicable EPENSION Person receives a pension 1 Yes Rein 9 Not applicable EPENSTYP1 Type of pension Statutory scheme 0 No Snell ene 9 Not applicable 1 Yes 9 Not applicable EPENSTYP3 Type of pension Personal scheme 0 No nen nee 9 Not applicable EPENSTYP4 Type of pension Scheme unknown 0 No us iin 9 Not applicable EPENSTYP5 Type of pension Unemployment pension 0 N
51. he LADB was first introduced the quarterly LFS was based on seasonal quarters Spring including the months March to May Summer June to August Autumn September to November and Winter December to February Therefore the LADB covered the period March to February This changed to a calendar quarter basis January to March April to June July to September and October to December in 2004 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database Annual Local Area Labour Force Survey ALALFS For the period from March 2000 to February 2001 extra respondents were included in the LADB but not in the quarterly LFS data This first sample boost covered only respondents in England and was called the English Local LFS ELLFS boost In March 2002 a similar boost was introduced in Wales the WLFS boost and in 2003 04 the SLFS boost was introduced in Scotland The combined surveys were called the Annual Local Area LFS ALALFS The ELLFS was designed in such a way to give an expected minimum sample size of 875 economically active adults in each Local Education Authority LEA 450 in London Boroughs and 300 in Rutland The WLFS is designed to have an expected minimum sample size of 875 economically active adults in each Unitary Authority UA 700 for Anglesey and Ceredigion 575 for Blaenau Gwent and 500 in Merthyr Tydfil The sample size in each UA in Scotland is boosted to produce an expected minimum
52. in the table below Variable name Description PARK National Parks LEA Local Education Authority CTRY9D Country NUTS102 NUTS 2 areas 2010 NUTS103 NUTS 3 areas 2010 NUTS104 NUTS 4 areas 2010 TTWA9D Travel to work area RU11IND 2011 Census rural urban classification OA11 2011 Census output area GOR9D Region PCON9D Westminster parliamentary constituency UK LAUA Local Authority District Local Learning and Skills Council England Enterprise Region Scotland TECLEC DCELLS Wales LSOA11 2011 Census Lower layer super output area MSOA11 2011 Census Middle layer super output area WARD Electoral Ward CCG Clinical Commissioning Groups CTY Counties Local Enterprise Partnerships DV not supported by ONS LEP Geography There is a proposal to drop the unsupported geographies from the APS datasets from A15M16 A list of these variables can be found in Annex G The reweighted historical LFS and APS government datasets pre 2014 do not contain any nine digit geographies These new variables will be added though no further back than 2011 when the switch to the LFS APS weighting methodology is introduced this is likely to be in 2016 12 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database SECTION 3 ACCESSING LOCAL AREA DATA Local area LFS data are available via four routes i ONS website The Local labour markets st
53. ing factor mean of the weights for cases in a specific area i Average grossing factors from the 2013 APS are given in Annex B If the area of interest spans several UA LADs then the average grossing factor for several areas W can be given by Dis i 2 5 i where wi is the average grossing factor for area i and si is the 16 sample size in area i W Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database The 95 per cent confidence interval for an estimate of M thousand MT is given by MT 1 96 s e SE estimates for rates A simple formula for producing standard errors for proportions assuming a simple weighted random sample is V p 1 p n For instance in the January to December 2013 APS dataset the estimate of the total number of people aged 16 and over who are in employment is 29 882 655 This is 58 3 of all people in the UK who are aged 16 and over The number of people aged 16 and over in the UK sample is 256 927 The standard error of 0 1 is calculated as V 0 58 0 42 256 927 ONS methodologists have produced more precise standard errors allowing for the design of the LFS including the different sampling fractions However this involves much more complex calculations than those described here for the approximate standard errors Annex C shows the estimate standard error and design factor based on the precise standard errors for the employment and ILO unem
54. inly due to handling of heavy loads 3 Yes mainly due to noise or strong vibrations 4 Yes mainly due to chemicals dust fumes smoke or gases 5 Yes mainly due to activities involving strong visual concentration 6 Yes mainly due to risk of accidents 9 DNA 00 Still off work as has not yet recovered from health problem but expects to resume work later 01 Expects never to return to work again because of this accident 02 Less than one day or no time off 03 At least one day but less than four days 04 At least four days but less than two weeks 49 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database 05 At least two weeks but less than a month 06 At least one month but less than three months 07 At least three months but less than six month 08 At least six months but less than nine months 09 Between nine and twelve Job of health problem 1 Main current job 2 Second current job 3 Last job 4 Job one year ago 5 Some other job 9 DNA WHPLIMAB Health problem limiting daily activities 0 No not at all 1 Yes to some extent 2 Yes considerably 9 DNA WHPNUMBR Work related health problems 0 None 1 One 2 Two or more 9 DNA WHPTYPEP Type of work related health problems 00 Bone joint or muscle problem which mainly affects neck shoulders arms or hands 01 Bone joint or muscle prob
55. intaaitintaantnisiattntaathentaias 10 Integrated Household Survey variables cccccccceeceeeeeeeeeeeeeeeeeeeeeeeeeeeees 10 APS Household datasets ccccccccccccccccecccccecceceececcececeececeeeeeeeeeeseeseeeeeess 11 Geography WANA GS vag sees cece ccc eave tees aiia ASA ENE AR 11 SECTION 3 ACCESSING LOCAL AREA DATA cccceeeeeettteeteees 13 ANNEX A Core variables for JD04 to JDO5 periods ceeeeeeeeeeeeeeeeteees 15 ANNEX B Average grossing factors mean weights for unitary and local authority areas from the January December 2013 APS data eeseeeeeeee 16 ANNEX C Sampling variability for employment and ILO unemployment of persons aged 16 for unitary and local authority areas from the January December 2ZO1S APS Oates ninna tapi Get soi taet een can tale esate 26 ANNEX D Calculating thresholds for England Wales amp Scotland 36 ANNEX E List of the Eurostat Ad hoc Module variables eeeeeeeees 39 ANNEX F Wave 1 variables cccccceeeeeeeeeeeeeeeeeeeeeeeeeeeeeeaeeeeeeeeeeeeeeeeaaees 53 ANNEX G Geographies that may be removed from A15M16 asaos 54 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database SECTION 1 INTRODUCTION The Labour Force Survey LFS is a key source of information of labour supply that is on individuals who supply their labour The LFS is a
56. job conditions diseases or basic activity difficulties jopportunities 3 Lack or poor transportation to and from workplace 4 Employers lack of flexibility 5 Affects receipt of benefits 6 Family caring responsibilities 7 Personal reasons 8 Other reason 9 No limitation in work 99 Not applicable ENEEDOR Because of the health condition disease or 1 Yes activity difficulty ies the person needs has 2 No special working arrangements to enable him her 9 Not applicable to work ENEEDHLP Because of the health condition s disease s or 1 Yes activity difficulty ies the person needs not 2 No employed persons uses employed persons 9 Not applicable personal assistance to enable him her to work ENEEDAD Because of the health condition disease or 1 Yes activity difficulty ies the person needs uses 2 No special equipment or needs has workplace 9 Not applicable adaptations to enable him her to work ELIMTYPE The health condition s or disease s or 1 Yes the health condition s difficulty ies cause s the person s limitation in jor disease s the type of work that he she can do 2 Yes the activity difficulty ies 3 Yes both the health condition s disease s and the activity difficulty ies 4 No 9 Not applicable ELIMTRAE The health condition s or disease s or 1 Yes the health condition s difficulty ies cause s the person s limitation in jor disease s
57. k as 12 months ago SUNDY How many Sundays OYSOCC Main occupation in worked in past 4 weeks refwek same as 12 months ago YNOTFT Reason for not wanting OYSOLO On own or with a full time job employees 1 year ago YPTCIA Reason for part time OYSTAT Employee or self job employed 1 year ago OYSUPVI Supervisory responsibilities 1 year ago SHFTYP Type of shift pattern SHFTWK99 Shiftwork in main job USUWRKM 1 3 Regular normal work pattern WCHDAY 1 7 Which days usually worked More information about these variables can be found in the user guide volume 3 details of LFS variables http www ons gov uk ons guide method method quality specific labour market labour market statistics index html 53 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database ANNEX G Geographies that may be removed from A15M16 A list of the unsupported geographies that are proposed to be removed from the APS datasets from A15M16 onwards Variable name Description and new 9 digit replacement variable TLEC99 Training and Enterprise Council None ELWA Education and Learning Wales None SCOTER Scottish Enterprise Regions TECLEC9D WALESPCA Welsh Parliamentary Constituency Areas None WARDO3 Ward codes 2003 WARD SCOTPCA Scottish Parliamentary Constituency Areas None URINDSC Rural urban classification Scotland RU11I
58. lem which mainly affects hips knees legs or feet 02 Bone joint or muscle problem which mainly affects back 03 Breathing or lung problem 04 Skin problem 05 Hearing problem 06 Stress depression or anxiety 07 Headache and or eyestrain 08 Heart disease or attack or other problems in the circulatory system 09 Infectious disease virus bacteria or other type of infection 10 Stomach liver kidney or digestive problem 11 Other types of health problem 99 DNA Country of birth of father 2 digit ISO country classification 98 Country unknown but father born abroad 99 Not applicable 50 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database COBMOTH Country of birth of mother Method finding current job Main obstacle not having suitable job JOBOBST2 Second obstacle not having suitable job Participation in language course Skills in host country language Reason for migrating 2 digit ISO country classification 98 Country unknown but mother born abroad 99 Not applicable 1 Advertisements via any channel 2 Relatives friends or acquaintances 3 Public employment office 4 Private employment agency 5 Education or training institution 6 Contacted employer directly 7 Employer contacted person directly 8 Other method 9 Not applicable 1 Lack of language skills in host country language s 2 Lack of recognition of qualificati
59. ler is the standard error in relative terms The standard error as a proportion of the estimate is known as the relative standard error or coefficient of variation c v When thresholds were applied such that estimates with a lower value than the threshold were not published estimates below 10 000 from the quarterly survey and below 6 000 for annual data prior to 2000 1 were not published as they were considered to be unreliable These thresholds equate to a sample size of about 30 and a relative standard error of about 20 per cent The boosted sample which combines with data from Wave 1 and Wave 5 from the main LFS to make up the annual LFS data for England Wales and Scotland in 2003 04 is not spread evenly across the country This means that for each local authority in England and for each unitary authority in Wales and Scotland there may be a different sampling fraction This in turn means that the relative standard errors for the same estimate may vary across local authorities resulting in a requirement for individual thresholds for each area Approximate thresholds may be calculated for each local authority with the aim of providing a threshold value that ensures that the relative standard error is at most 20 per cent For a small subgroup from a large simple random sample the subgroup sample size n is approximately distributed as a Poisson variable For such a variable the mean and the variance are equal and are estimated by n
60. llowing geographies Countries Government Office Regions Counties Unitary authorities Local authority districts Parliamentary constituencies NUTS areas Learning and policy geographies eg ELWAs and local learning and skills councils iii ONS local area LFS Dataservice The estimates from the annual LFS APS available from the ONS web site and from Nomis are pre defined aggregates For users who want to specify their own analyses and 13 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database tabulations ONS runs a service to provide these There is a charge for this service To request a table from this service or obtain more information about the service e mail socialsurveys ons gov uk iv Access to APS micro data The UK Data Service manages access to the APS microdata offering an end user and special licence procedure to allow users access to the microdata files As well as the end user microdata files which only contain a limited number of variables held at the Archive a further data file is now available to users who obtain the special licence enabling them access to a greater number of variables on their data files Information on accessing these data can be found on the UK Data Service website http ukdataservice ac uk get data how to access aspx Further Information For general information about LFS local area data please telephone the Labour Market Statistics Helpline
61. loyment for specific employers sectors occupations 2 Yes access restricted to self employment 3 Yes access not allowing self employment 4 Yes combination of 1 and 2 5 Yes combination of 1 and 3 6 Yes other legal access restrictions 9 Not applicable ECITIZEN Year of acquisition of citizenship 9996 Year unknown but national acquisition 9997 National at birth 9999 Not applicable EHELP Main help received in the host country in finding 1 Relatives friends the current job or setting up own business 2 Public employment office 3 Private employment service 4 Migrant or ethnic organisation 5 Other 6 None 2 Not applicable i Need to improve host country langiage skills to 1 Yes get an appropriate job 2 No 9 Not applicable wee Whether duration of current residence is limited O Yes less than 1 year 1 Yes 1 year 2 Yes 2 years 3 Yes 3 years 4 Yes 4 years 5 Yes 5 years 6 Yes limited duration of more than 5 years 7 Yes but do not know the duration 8 No 9 Not applicable EQUALUK Use of facilities for establishing what highest 1 Yes established what qualification equates to in the host country qualification equates to system 2 Yes but not established what qualification equates to or procedure not yet completed 3 No no need because highest qualification obtained in the host country 4 No no need for reason other reason oth
62. module The different themes since 2008 are 2008 Labour Market situation of migrants and the pe inmate descendants of pants Employment of disabled people Transition from work into retirement health problems descendants A brief description of the ad hoc module variables can be found in Annex E More information about the Eurostat aspects including more details about the ad hoc module variables can be found in user guide 9 Eurostat and Eurostat derived variables http Awww ons gov uk ons guide method method quality specific labour market labour market statistics index html The Eurostat variables are collected in the first wave only on the LFS and this means a separate weight is required EWEIGH14 to use along with the AHM variables The calculation of the Eurostat weight is similar to the method used for the calibration of the LFS and APS weights GES However with the Eurostat weight the bounded option in GES is included so the calibration weights cannot exceed the value 9999 a constraint set by Eurostat this affects some multiple occupancy households from Q3 2010 due to changes to the LFS at that time Since the Eurostat variables are based on wave 1 data only the 75 adjustment which is applied to wave 1 LFS data as households where all residents are aged 75 and over are no longer interviewed in subsequent waves is removed Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database
63. ne B 48 23 0 74 57 0 27 0 81 9 3 0 97 37 2 0 97 21UD Hastings 10 38 25 0 94 53 7 3 5 1 04 1 4 15 6 0 8 16 21UF Lewes 35 45 21 0 77 56 4 27 0 86 21UG Rother 06 37 21 0 77 473 27 0 81 7 2 0 9 0 99 3 0 1 0 99 21UH Wealden 293 B 25 0 81 61 8 21 0 93 3 4 0 9 0 96 3 0 0 8 0 96 29 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database Employment ILO Unemployment Total Rate Total Rate Sample Standard Design Standard Design Sample Standard Design Standard Design Size Estimate Error Factor Estimate Error Factor Size Estimate Error Factor Estimate Error Factor 22UB Basildon 147 81 3 9 0 79 56 7 27 0 89 12 7 23 1 19 5 0 1 6 1 20 22UC Braintree 177 69 28 0 76 60 2 25 0 89 3 5 14 1 05 43 12 1 06 22UD Brentwood B 41 25 0 81 66 8 41 0 95 22UE Castle Point 06 2 22 0 71 60 5 3 1 0 81 6 2 0 9 0 96 33 4 0 97 22UF Chelmsford 258 87 27 0 73 67 0 21 0 89 12 4 3 05 34 0 06 22UG Colchester 206 89 3 0 0 72 63 0 22 0 83 14 6 6 05 43 1 05 22UH Epping Forest 51 67 3 0 0 80 63 1 29 0 92 10 5 5 06 46 4 07 22U Harlow 87 39 26 0 84 58 7 3 9 0 95 10 4 3 0 95 67 2 0 0 96 22UK Maldon 94 30 20 0 88 60 9 41 1 01 5 3 3 43 5 2 27 A 22UL Rochford 87 43 28 0 87 59 2 3 8 0 95 6 3 4 Eii 4 7 3 Ti 22UN Tendring
64. ngham 150 3 0 15 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database Local Authority Area Average Grossing Factor AGF 1000 GA Herefordshire County of 93 4 0 09 GF Telford and Wrekin 100 0 0 10 GL Stoke on Trent 184 6 0 18 HA Bath and North East Somerset 93 2 0 09 HB Bristol City of 300 5 0 30 HC North Somerset 139 9 0 14 HD South Gloucestershire 184 0 0 18 HG Plymouth 139 1 0 14 HH Torbay 69 1 0 07 HN Bournemouth 110 6 0 11 HP Poole 91 5 0 09 HX Swindon 150 4 0 15 JA Peterborough 120 8 0 12 KA Luton 116 0 0 12 KF Southend on Sea 109 8 0 11 KG Thurrock 109 1 0 11 LC Medway 159 9 0 16 MA Bracknell Forest 69 0 0 07 MB West Berkshire 96 7 0 10 MC Reading 89 5 0 09 MD Slough 85 9 0 09 ME Windsor and Maidenhead 78 0 0 08 MF Wokingham 108 4 0 11 MG Milton Keynes 136 2 0 14 ML Brighton and Hove 164 3 0 16 MR Portsmouth 122 4 0 12 MS Southampton 141 6 0 14 MW Isle of Wight 60 7 0 06 O9UC Mid Bedfordshire 268 6 0 27 O9UD Bedford 304 8 0 30 OSUE South Bedfordshire 335 9 0 34 11UB Aylesbury Vale 294 8 0 29 11UC Chiltern 253 5 0 25 11UE South Bucks 327 2 0 33 11UF Wycombe 297 2 0 30 12UB Cambridge 433 4 0 43 12UC East Cambridgeshire 290 7 0 29 12UD Fenland 401 2 0 40 12UE Huntingdonshire 363 7 0 36 12UG South Cambridgeshire 325 4 0 33 13UB Chester 412 8 0 41 13UC Congleton 375 4 0 38 13UD Crewe and Nantwich 417 9 0 42 13UE Ellesmere Port and Neston 391 7 0 39 13UG Macclesfield 378 9 0 38
65. ns 81 72 26 0 69 64 8 24 0 83 5 7 17 53 18 26UH Stevenage 20 44 20 0 69 64 6 29 0 8 1 4 0 95 53 0 95 26U Three Rivers 17 41 23 0 83 58 1 3 2 0 93 1 4 3 2B 55 8 3 26UK Watford 25 52 19 0 64 71 0 27 0 79 7 3 2 04 43 6 05 26UL Welwyn Hatfield 08 56 3 2 0 87 60 2 3 5 0 98 4 1 10 22 2 Ji 29UB Ashford 65 62 25 0 77 62 8 26 0 88 4 2 05 4 0 2 05 29UC Canterbury 29 63 3 7 0 91 51 9 3 1 1 00 9 10 24 16 86 2 0 7 29UD Dartford 05 50 26 0 77 67 3 3 6 0 95 9 02 55 9 03 29UE Dover 39 52 24 0 74 60 8 29 0 86 8 05 3 9 4 06 29UG Gravesham 84 48 27 0 74 59 6 3 4 0 85 7 9 5 0 21 20 29UH Maidstone 39 81 3 0 0 74 62 8 24 0 85 B 45 15 29UK Sevenoaks 16 57 22 0 59 59 0 23 0 68 7 02 3 4 03 30 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database Employment ILO Unemployment Total Rate Total Rate Sample Design Standard Design Sample Standard Design Standard Design Size Estimate Factor Estimate Error Factor Size _ Estimate Error Factor Estimate Error __ Factor 29UL Shepway 148 50 0 74 60 4 27 0 86 9 3 0 02 3 9 3 02 29UM Swale 162 63 0 75 59 3 26 0 85 16 6 5 0 98 5 6 4 0 98 29UN Thanet 92 54 1 01 47 2 3 8 1 08 9 6 9 05 54 7 05 29UP Tonbridge and Malling 23 58 0 71 60 3 28 0 82 7 3 3 03 35
66. ns gov uk ons guide method method quality specific labour market labour market statistics index html 52 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database ANNEX F Wave 1 variables These are based on the JD14 dataset Note that some variables may have only been asked in wave 1 since OD14 in previous quarters they could have been asked in multiple waves Wave 1 variables only Wave 1 and Wave 5 Variable Variable Name Variable Variable Name ATFROM Type of business if DAYSPZ Number of different working from home days per week worked EVDAY Work during day EVHM98 Ever do any paid or unpaid work at home EVENG Work in evening in past FLEX10 1 3 Type of working hours 4 weeks arrangement EVEVE Work during evening HOMED 1 3 Locations of work in refwk main job EVNGHT Work during night LSSOTH Time off flexi or annual EVSAT Work on Saturdays NOLWF Main reason family for not looking for work EVSUN Work on Sundays OYCIRC Employment situation 12 months ago NWNCRE 1 2 Reason care services OYMNGE Managerial duties 1 for not looking for work year ago PTNCRE7 1 2 Reason care sevices OYMPE02 Number of employees for part time work where worked 1 year ago SATDY How many Saturdays OYMPS02 Number of people worked in past 4 weeks employed 1 year ago SMESIT Reason working from OYSIND Work for same firm in home refw
67. o iad cael 9 Not applicable EPENSTYP6 Type of pension Disability pension 0 No Sad peee 9 Not applicable EPENSTYP7 Type of pension Survivors pension 0 No ie cee 9 Not applicable EPENSTYP8 Type of pension Other pension s or type of 0 No 9 Not applicable EPLANSTOP Plans to stop work 1 In up to 1 year 2 In more than 1 year up to 3 years 3 In more than 3 years up to 5 years 4 In more than 5 years up to 10 47 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database pi p R More than 10 years 9 Not applicable aw Main reason for not staying longer at work 1 Favourable financial arrangements to leave 2 Lost job and or could not find a job 3 Had reached the maximum retirement age 4 Had reached eligibility for a pension 5 Other job related reasons 6 Own health or disability 7 Family or care related reasons 8 Other gt Not applicable EREDUCHRS Person reduced working hours in a move 1 Yes before receiving the first towards full retirement old age pension 2 Yes since or after receiving the first old age pension 3 No 9 Not applicable ESTAYWRK Main reason for staying at work 1 To establish or increase future retirement pension entitlement 2 To provide sufficient personal household income 3 Combination of 1 and 2 4 Non financial reasons e g work satisfaction S Not applicable ae aia Wish to
68. of 875 economically active adults However to avoid saturation sampling this figure is reduced to 300 in Clackmannanshire 600 in Stirling 700 in Inverclyde and Midlothian and 800 in East Lothian and East Renfrewshire Each household in the boost samples is interviewed annually for four years To build up the sample in 2000 01 for England and 2001 02 for Wales and 2003 4 in Scotland the sample was divided into four groups or waves Over the following three years they dropped out one by one so that only one of the original four waves was actually in the survey for all four years A new wave is then sampled every year More information on the methodology behind the ELLFS is available in articles on the ONS website and in the May 2000 issue of Labour Market Trends pp195 199 and the January 2002 issue of Labour Market Trends pp33 41 The Annual Population Survey APS Although the quarterly LFS started using a calendar quarter basis in 2006 the LADB moved to a calendar quarter basis in 2004 In January 2004 a sample boost was introduced in England only The aim of the boost was to provide an expected minimum sample size of 875 economically active adults in each UALAD in England instead of in each LEA This allowed more accurate precision for the newly launched ONS Neighbourhood Statistics The boost was called the Annual Population Survey boost APSB and combined with the Annual Local Area LFS which included the ELLFS WLFS and SLFS
69. on 020 7533 6094 e mail labour market ons gov uk For further information about the ONS tabulation services contact socialsurveys ons gov uk or Tel 01633 455678 For more information on Nomis contact info nomisweb co uk or Tel 0191 334 2680 14 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database ANNEX A Core variables for JD04 to JDO5 periods aage add addjob advhst age agedfe ages amarstt aofl16 aofl19 aohl16 aohl19 appr4 attend ayfl19 ayhl19 Befor Beforf Btec caind cameyr candg caseno casward conmon conmpy consey country course cry01 cryo cryox cured degcls degree4 difjob dobd dobm doby dteofbth durun durun2 edage emplen empmon enroll eth01 ethas ethbl ethcen15 ethcen6 ethmx ethwh everwk extfu famunit fdpch15 fdpch16 fdpch19 fdpch2 fdpch4 fdpch9 fmplus ftpt ftotwk furn gcse41 gcse42 gcse43 gcse44 gcse45 gcseful1 gcseful2 gcseful3 gcseful4 gcseful5 gnvq4 gorwkr Weight to use gorwk2r govtof govtor hallres hdpch19 hhid higho hitqua05y hitqua4 hitquad hohid home hout hrp hrpid hst ilodefr ilodefr05 ilodefrO5y indd92m indg92m indm92m inds92m indsect inecac05 inecac05y inecacr ioutcome joaway jobbeg land96 lea leftm leftw leftyr leiscl lfssamp likewk livtog Iktima Iktimb Ikyt4 look4 manager mardy marsex marstt mpnr02 natidb natide natidi natido natids natidw nation nato
70. ons obtained abroad 3 Restricted rights to work because of citizenship or residence permission 4 Origin religion or social background 5 Other obstacle 6 No particular obstacle 9 Not applicable 1 Lack of language skills in host country language s 2 Lack of recognition of qualifications obtained abroad 3 Restricted rights to work because of citizenship or residence permission 4 Origin religion or social background 5 Other obstacle 6 No other obstacle 9 Not applicable 1 Yes 2 No was not necessary 3 No for other reasons 9 Not applicable 1 Language is mother tongue 2 Advanced 3 Intermediate 4 Beginner or less skills 9 Not applicable 1 Employment job found before migrating 2 Employment no job found before migrating 3 Family reasons 51 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database ae neal Over qualified for job 1 Yes 2 No 9 Not applicable ius Level of educational attainment of parents 1 Low ISCED 2011 0 2 2 Medium ISCED 2011 3 4 3 High ISCED 2011 5 8 9 Not applicable WORKOTHCD Last country worked abroad 2 digit ISO country classification 00 Has not worked abroad in last 10 years 98 Country unknown but has worked abroad 99 Not applicable More information e g a description of the ISO country classification used for several variables can be found in user guide 9 Eurostat and Eurostat derived variables on the ONS website http www o
71. orders The 748 54 11 0 78 57 5 1 2 0 86 29 2 0 4 1 00 22 0 4 1 00 QF Clackmannanshire 213 22 0 9 0 80 54 3 2 1 0 88 24 3 0 5 1 07 6 5 1 3 1 07 QG West Dunbartonshire 635 38 1 0 0 91 52 2 1 4 0 99 73 4 0 5 1 05 5 9 0 7 1 06 QH Dumfries and Galloway 745 66 1 4 0 79 53 3 14 0 86 51 5 0 7 1 15 4 0 0 6 1 15 QJ Dundee City 673 61 2 2 1 25 50 1 1 8 1 34 69 9 1 3 1 44 76 11 1 45 QK East Ayrshire 624 54 1 3 0 84 53 8 1 3 0 92 80 7 0 8 1 03 73 0 8 1 04 QL East Dunbartonshire 640 52 1 0 0 72 59 3 1 2 0 81 25 2 0 4 1 10 2 6 0 5 1 10 QM East Lothian 614 49 11 0 79 60 5 1 3 0 89 34 3 0 5 1 08 3 6 0 6 1 08 QN East Renfrewshire 607 43 0 9 0 76 58 7 1 3 0 86 44 3 0 5 1 09 46 0 7 1 10 QP Edinburgh City of 661 241 5 4 0 82 59 6 1 3 0 91 44 18 3 0 1 20 45 0 7 1 20 QQ Falkirk 761 76 1 5 0 77 60 0 1 2 0 86 53 6 0 8 1 08 43 0 6 1 09 QR Fife 678 166 40 0 87 55 9 14 0 96 61 17 2 2 1 10 5 7 0 7 1 10 QS Glasgow City 566 255 7 5 0 94 51 9 15 1 02 56 29 40 1 15 5 9 0 8 1 15 QT Highland 624 113 2 7 0 89 59 6 1 4 1 00 28 6 1 2 1 18 3 2 0 6 1 19 QU Inverclyde 575 36 0 9 0 85 54 7 14 0 93 36 2 0 4 1 04 3 5 0 6 1 05 QW Midlothian 502 40 1 0 0 80 58 5 15 0 90 27 2 0 4 1 07 3 3 0 6 1 08 QX Moray 794 46 0 8 0 74 61 4 11 0 84 35 2 0 5 1 25 3 3 0 6 1 25 QY North Ayrshire 559 53 1 6 0 92 46 9 14 0 99 89 9 0 9 1 05 8 1 0 8 1 06 QZ North Lanarkshire 753 157 3 4 0 82 57 8 1 2 0 92 87 19 2 1 1 08 6 9 0 8 1 09 RA Orkney Islands 145 12 0 5 0 88 64 3 3 0 1 00 2 b x is Z RB Perth and Kinross 735 7
72. ployment of persons aged 16 for UA LADs using the 2013 APS data The standard error of the level of the estimate is simply the standard error of the proportion or rate multiplied by the population aged 16 and over 0 1 51 293 378 51 293 2 The formulae 1 in the section above is an approximation of 2 Thresholds It is the nature of sampling variability that the smaller the group whose size is being estimated or from which an estimate is being derived the less precise that estimate is Put another way the size of the standard error increases with the level of the estimate so that the larger the estimate the larger the standard error But the larger the sample estimate the smaller will be the standard error in percentage terms relative standard error being the standard error as a percentage of the estimate Thus larger sample estimates will be relatively more reliable than smaller estimates an estimate of 500 000 while having a standard error of 13 800 will have a relative standard error of 3 whereas an estimate of 25 000 which has a standard error of 3 100 has a relative standard error of 12 Before 2005 publication thresholds were applied to quarterly and annual LFS estimates any estimate smaller than the threshold was considered unreliable and hence not Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database published Since 2005 no estimates are suppressed due to lack of s
73. r leaving formal education for the 2 Employee permanent full last time time 3 Employee permanent part time 4 Employee temporary full time 5 Employee temporary part time 6 Family worker 9 Not applicable EFINDJOB Method which allowed to find the first job of more 1 Via educational institution than 3 months after leaving formal education for 2 Via Public Employment the last time Services 3 Via ads in press or on the 40 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database 4 Submission of direct job application to employer 5 Via family and friends 6 Job found after previous experience in the same Lie Month of start of the first job of more than 3 0 Never had a job of more than months after leaving formal education for the last 3 months time 99 Not applicable ae Year of start of the first job of more than 3 0 Never had a job of more than months after leaving formal education for the last 3 months time 1 Current job is my first job 9999 Not applicable EHEDPAR Highest level of education successfully 1 Low ISCED 0 1 2 and 3c completed by father or mother 2 Medium ISCED 3 4 without 3c 9 Not applicable EHLEVED Orientation of the highest level of formal 1 General education education attained 2 Vocational education school based 3 Combination of school and workplace based vocational education 4 Vocational ed
74. tatistical reliability All estimates are published along with 95 corresponding confidence intervals These thresholds are no longer applied by ONS in the dissemination of LFS and APS estimates but this section is retained as thresholds can be used as a simple way of identifying cells with high sampling variability These thresholds were calculated to be approximately equivalent to publishing estimates which had a relative standard error of 20 or less The threshold for quarterly LFS estimates was 10 000 and the thresholds for the annual LFS before the sample boosts were introduced in 2000 01 was 6 000 However since 2000 01 the nature of LFS enhancement has meant that some areas have seen a very large increase in sample size and others very small increase or none at all This means that a single threshold for all areas is no longer appropriate For England each area was allocated to one of three threshold bands 2 000 4 000 or 6 000 For Wales from 2001 02 each UA was given its own threshold These ranged from 1 000 to 4 000 From 2003 04 each UA in Scotland was given its own threshold ranging from 1 000 to 5 000 Annex D shows how the thresholds were calculated for the local authorities in each of the three countries These thresholds can also be applied to the APS Thresholds for data on ethnicity It has long been known that the effect on the LFS of clustering within households or design effects for ethnic group and for
75. the figures may differ slightly from publication due to seasonal adjustment The total estimate and standard error have been divided by 1000 Employment ILO Unemployment Total Rate Total Rate Standard Design Standard Design Sample Standard Design Standard Design Sample Size _ Estimate Error Factor Estimate Error Factor Size Estimate Error Factor Estimate Error Factor England 104 749 25 213 50 5 0 92 58 6 0 1 104 8 265 2 039 26 2 1 24 4 7 0 1 1 25 AB Barking and Dagenham 363 79 25 082 55 8 18 0 95 61 13 1 6 1 07 9 1 2 1 08 AC Bamet 363 181 47 0 71 61 4 16 082 22 11 23 1 03 3 6 0 8 1 03 AD Bexley 331 109 32 076 58 5 17 086 29 10 18 1 08 54 0 1 09 AE Brent 520 148 40 0 89 59 6 16 02 55 18 2 9 141 72 2 142 AF Bromley 486 155 36 074 61 7 15 085 25 9 19 1 15 37 08 1 15 AG Camden 372 107 4 0 1 08 57 1 21 19 26 8 18 131 43 0 132 AH Croydon 417 183 47 O74 63 9 16 088 40 17 2 7 1 02 6 0 0 1 03 N Ealing 373 155 48 0 85 58 4 18 098 46 21 33 121 79 2 1 22 AK Enfield 384 142 44 087 57 7 18 099 31 B 22 1 10 51 0 9 1 10 AL Greenwich 323 118 41 089 57 1 20 00 36 14 2 2 1 05 68 1 1 06 AM Hackney 368 118 380 92 58 2 19 05 44 14 2 2 1 15 71 1 1 16 AN Hammersmith and Fulham 415 95 26 0 92 63 6 17 04 34 6 13 1 19 4 2 0 8 1 20 AP Haringey 429 129 38 0 90 62 1 8 05 41 2 21 1 20 5 8 1 0 1 20 AQ Harrow
76. tures of the sample and population The basic methodology which is used for weighting the datasets is the same as the method used for the quarterly LFS datasets where the weights are calibrated to the population totals using a Generalised Estimation System GES For the periods January December 2004 JD04 to January December 2005 JDO5 there are two weighting variables on the datasets PWAPS14 and PWLFS14 This is due to the different data sources which make up the final dataset as illustrated in the diagram below The structure of the APS dataset PS LFS LLFS variablee gt lt FS LLFS ONLY variablee gt LFS LLFS data APS B data Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database The LFS LLFS comprises of the main LFS data waves 1 and 5 from each quarter in the year and all the data from the English Scottish and Welsh enhancements ELLFS SLFS WLFS The APS boost APS B only covers a subset of topics covered in the LFS and the Local Labour Force Survey LLFS however all of the variables appear on the dataset The variables that are covered in both the APS B core and the LFS LLFS questionnaire are known as the CORE variables NON CORE variables are those that are solely on the LFS LLFS A list of CORE variables from JD04 to JDO5 can be found in Annex A The LFSSAMP variable can be used to identify these cases LFSSAMP 1 LFS cases LFS
77. ucation workplace based 5 Vocational education with no distinction possible between 2 3 and 4 9 Not applicable E a after leaving formal education for the last time peor e e e a after leaving formal education for the last time E G Main activity after leaving formal education for 1 Employed work in jobs of the last time and before starting the first job of a short duration max 3 months duration of at least 3 months 2 Compulsory military or community service 3 Not employed actively looking for a job 4 Family responsibilities 5 Participation in non formal education 6 Voluntary activities 7 Health problems 8 Other reasons 9 Not applicable EWORKED Work during studies in formal education 0 No work or work less than 1 month per year 1 Work only as part of educational programme 41 Labour Force Survey User Guide Volume 6 Annual Population Survey Local Area Database 2 Work while studying but outside educational programmes 3 Work only during an ieee of studies 4 Work as combination of 1 and 2 5 Work as combination of 1 and 3 6 Work as combination of 2 and 3 7 Work as combination of 1 2 and 3 9 Not applicable ee Month of leaving formal education for the last Lo ed ee ae a LEAVEDY Year of leaving formaleducationforthelasttime JD10 ECHILDSV Use of childcare services per week for the 1 up to 10 hours youngest child

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