Labour Force Survey User Guide
Contents
1. E t Y gton and Chelsea King s Lynn and West Norfolk Glasgow City Great Yarmouth Hammersmith and Fulham Hartepocol Hastings Herefordshire County of Hillingdon hMinckley and Bosworth Huntingdonshire Inverctyde isie of Anglesey isie of Wight Kingston upon Hull City of Kingston upon Tharnes Kens 16 July 2007 Labour Force Survey User Guide Volume 6 Local Area Data L 1 ole ew Le n e tie jo a e t ew ia o o ia o n Le LU D o Hh Has SIS e z i 2 EIS 9 Si i CE o fei o0 rn r9 po o i n ole ajo vc jt jajo r Ir epepopo ia o p m aja 23 LI P po qe TN de IN ipo ke NJAN orm epa aim NJAN ojo Jojolo 7 o o N NJAN NJAN a a D 7 r ERR dl d d d d MEN al ld bale eel Vd Med dE gd VR WK MR G u Lat dd gd Ve dE Mk d RR D E belied wtih lid il ell ee DE PEDE VW T n N o o N h o o jnt a D je je o a a v o j Q I hs K o hs a ts m N 3 Yo bh m Wm m hs oa ei oa LE D D SR ad d led belied el ied od E VR e gg ee ev el ble ele ee bl Nd a dl Q x A pw m D n o o e S o ke ME E n e qu m N N d se le D Ld D ST SIS SE CE KE G S T Tuis T 9 o 2 e pr CEGE er o EE ia o 7 opo ope 9 8 7 9 7 9 9 GEG EE mp Lei a m m Le Le a m Le a a Le Lei m ba fe Lu Le Lad m Lei Lad a La Ex EXC m m Le 710 m a Ate Tae neal To e fo T alo fo r z ST T EUEEUFNEESUESEECHEEECGIEIEIESESE TE gE CE CE EE ga c o o 9 n 1 m A m a in m2. i pe m alas Is ate N 7 d e m nr rte nm N o a eit ES D a m viuo a m mm N jo NJNJNJNJOJAN n D 4 a o m a om NJN m e o POTS D n Ql Im n N jr a a a t m H 8 RJA J8 HAN Ob 8 78 JR 5 8 98 8 Ee S o i 3 P le 6 te m m ts e nr m t dr fr D be h o o Ir II T a e j de de ele a KJA S H r DS wi HI H g eo ade r r rte d r d r 2 bal bf ota ex x N le epo o CHE GE Ki mio q m orm D D ele q alaja d e ja q A q aft LS d o P 5 n AJA m I ke o P a A Jo je fum fale H 9 EU g m g d g w sls Lu g wi D R 2 I ojo r r n y o a e oja e pe OPO o Is n o n n N I TOTO r uon nm LN ES vir o n m o TS DELLI molt Inte ode o ke N DELI Lad epo Inia N kel Lal Die N n m N e N ole leie e N ti nr he uo e o Wi m pa Uu A Wu E H IOC OU s E 8 u o 6 a 3 8 8 a e 8 9 b Or 8 D a c wie P c F uz A N MNJOJN m A AJA Ape oO m e ofa OQ N o m OQ A NJAN ot D RSE Tota SE C us a m Gime oO le T ojo le aja e pn qo oa ojn Vi a ole fe Olea o P m ew ih KE m m e m o o q e m a ole o lei m elei o 7 ole H N e o o 0 elei je e j e fa ES SAHHAF e le e le s v a 9 JE fo r E AHAHAHAAF alala 3 e s I8 v e E SIs A 8 E m gt al 9 m A Wi as RIRE e RIR K S amp 818 s ld ale 9 RISE IRIE DIS RI H ojn omit o nv jor D LE LEE OQ N q z2 8418 EIE EFF amp 8 Jn e e e e m fale fe e e A je Io PIL A q a g
3. 16 and over The number of people aged 16 and over in the UK sample is 283 358 The standard error 0 0996 is calculated as Square root 0 59 0 41 283 358 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 B shows estimates of confidence intervals based on the precise standard errors for economic activity Because of the complexity of these calculations these are for the 2003 04 annual LFS data They are not available for later data would not be significantly different 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 0996 47 452 934 42 707 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 Th
4. Area Data Weighting the 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 local area annual databases 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 structures of the sample and population The basic methodology of raking which is used for weighting the LADB and ALALFS datasets is the same as the method used for the quarterly LFS datasets However the APS datasets are weighted using a superior generalised regression method Sampling variability of the 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 typically differ from those calculated from m
5. UK data archive UKDA This is where the APS data are held and downloaded from To get access you need to get an Athens account The link to the UKDA website and instructions on how to do this are here found at the following website address http www data archive ac uk orderingData introduction asp The UKDA also provide useful background about the APS and links to more documentation here http www esds ac uk government aps All potential users of the data need to be named individually on the licence and need to have individual Athens accounts Many public sector organisations can access the data for free but the UKDA can advise if you are in doubt Secondly you have to complete a APS special licence application This is considered by the ONS micro data release panel who decide whether to grant access or not It is important that you have an active Athens account and a project registered with the UKDA by this stage as these details need to go on the licence application Applicants may asked to supplement it with more information about how we intended to use the data at borough level It is important to demonstrate why you need access to the APS special licence dataset and why other data sources such as the LFS NOMIS or the non disclosive version of the APS dataset available through the UKDA do not provide you with the detail or level of data e g local authority level that you need A copy of the licence the GLA submitted is attached to th
6. 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 C 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 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 estimates 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 Thus a multiplier of 2 5 is applied to the existing thresh
7. fol by ke N ke OM agam PET i oa v o o vy CCE o e epo po 7 o o 9 o o o8 o9 7 7 Ps 0 o 9 rn pnr TO w fut Iw oo v o o o o v ja o o o o in o Io fi aie o lw ps w Je ei i ei e hie 6 ei ei aes EJE 3 a JE 1818 8 E amp JSIR IR 8 8 k PES RB is E 8 i JEJEJE i ie i PR Be ie EIS e 9 ie 18 a 1E o 18 18 s amp 9 JE moa won v jr o P po oa fum N jr erm e qQ ol o o 7 o Nro r vc le ele o o ene e fala te fe v ja e e Lei ole de de fe fe ole A 1 n e n o m o oi m D a E n EB P d ial o d d d d d Edd le ak itll ld d d dd Ge d dd d d e F 2 2 r Io ole c C A m Ll o o m A re lo e fa z D ele D O D ele ele e RSE T SE Total ul o H D Q H 8 u Orkney islands Richmond upon Thames Rochdale Rochford Nunesion and Bedworth Redcar and Cleveland Reigate and Banstead Renfrewshire Rhondds Cynon Taff North Lincolnshire North Shropshire North Tyneside North Wanvickshire North Weet Leicestershire Oadby and Wigston Peenbrokeshire Perth and Kinross Resiorme Ribble Valey Rushcliffe Redbridge 18 July 2007 Labour Force Survey User Guide Volume 6 Local Area Data gt s ILO unemploy d r c activty 7 e nro elo Hh o o n enr Tote I n o a a a H 9 2 2 2 ye 9 H e 3 N eit wpe o nr m 200 i jn p p nr d n a M AN N a NJAN NTN TN TS a q H N q 1 n r IN ke H e po
8. let Ne o o GE GE GE GE GE GE o rie a in e t eit I Afr in e a m m a 8 r 1 b 8 n Kjo o 1 a S RE 8 a HONN E KJA RJR ib S P D D ele H F n fe m m fale me Te D ole m aft e qo po o a ale n jaya n e m a m E Afe fe fe jolo fa rjo a a ole de o A efa oa 7 7 fo N ole e e m fale n o e ERR o jo CE RE GE CI CEGE RECI o a o fA fr P To I ojt jr i qo To o o o ia o 7 o o P To fo o 7 o fo o o a LU x aie m t el Ee m Im m m mim wie e anes 8 8 8 2 3 IE IE s 18 IRIS Ae o 212 eap Ie 8 8 a EIS 2 e I8 e I ds a e 1S a3 8 a 12 8 e Jo 8 18 e m N o r o o r E n nr P N oaa aja In oe Y o e fr o wv A J fe je ele jr ele ia Ole ia ela tala GE Ten A fe o na Ia de je A a 6i w ata D Le Ix e m i v TO un E dd dhl iil idl il headed EISE EICHER e F aal The 2 2 2 2 2 2 le inactivity ILO unemployment RSE T SE RSE SE Economic activity RSE sg Tameside Teignbridge Telford and Wrekin Tendring Test Valley Three Rivers Tonbridge and Malling Tortidge Tower Hamiets City Tunbridge Wells The Vale of Glamorgan Wale of White Horse Walsall Waltham Forest Wavertey Weer Valley Wellingborough Welwyn Hatfield West Dunibartonshine 20 July 2007 Labour Force Survey User Guide Volume 6 Local Area Data t E H I 3 i u ad dd I a d d dd a 3 5 8 Ts 8 5
9. oa N A Wq I I IN I ape N ris N O IN m yt 5 Di m IH EI m D D e n i ts 8 H a n Says 9 amp 8 8 a e q D aye lo D D e e F tI o fr Op o CE po uo o e is m ole jo n Ei Ja ol o m o ale m m ie fo io o ejr ole lo rio jada ie o apo s o mala fe e cde date 7 7 o o e je de leie e po fe gt dp 53 la o o o Jol A To o o A lo lo r o 9 r 7 D m o oj or o n Jo o o ci e w A a A A A D e ui ie e p io po pu 9 g ka 218 18 R JR 8 paps 8 R JE 8 Sie 8 ga E R R g R RE SIR IR 2 8 18 8 Hu d H REESEN lee i ileal ek iid di E o o n ke alt erie ei Ion N ipso po it o lo o npo o rn 68 n 0 o GHC rio Oo ke D je r le A ela D fja ele je 7 elatada fe elaine pele e a e e e e de lo cide n de de a m e po n c Lei A 4 m U ole d m 1 TT ITER ll iid leds KH e r r r AEE iili i ili i i 1 0 os ILO unerny RSE SE 1 3 4 gt gt 4 825 826 71 1 Employment RSE SE RSE 8 d SE Basingstoke and Deane Bacectiow Bath and North East Somerset Barking and Dagenham Belfast r Aylesbury Vale Berrow in Furnmess Basildon Berv ck upon Tweed Blackburn with Darwen Bracknell Forest 3 a ai lt Banbridge Blyth Valley Bournemouth Bradsord Braintree Ashfo 13 July 2007 Labour Force Survey User Guide Volume 6 Local Area Data L
10. tabulation of employment by ethnicity The design effect for employment is 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 one 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 six thousand four thousand or two thousand 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 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 one thousand to four thousand For the 32 Scottish UAs the ideal thresholds were rounded for the total employed and unemployed Thresholds thus range from one thousand to five thousand July 2007 23
11. the larger the estimate the larger is the standard error But the larger the estimate the smaller 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 ten thousand from the quarterly survey and below six thousand 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 together with data from waves one and five from the main LFS 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
12. 8 q a cide 7 n n q m m 2 P 3 EEEE 7 D o o m 7 D N 4 n n qI uz q ac m 5 N aie o r Te ole d m Le Le A ole 293 d ft 9 E v t E E P ot H D dini ei ui PA d E D n rn d Lo ea o a q aia de o m N Tota a ERES EN ES Eia ac xs BER E cs EE ES BE RSE 56 N m s n i o m o o e m N N KM r r IN fo NIN I TO oe gets o o o o Ir o oe o H o o A m 6 RJE RIS IR s s amp 8 18 8 8 7 FIn QN a 7 NN e oa A je Io ele q H H i E ifm HAN A N A A KKH E SSES E BEL E Biss BEER Es CIS EE PS ER BEER E EE gx Be gs Em e eas Weymouth and Portland Windsor and Maidenhead Wolverhampton 21 July 2007 Labour Force Survey User Guide Volume 6 Local Area Data ANNEX C 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
13. CI a 5 aya q o H D 5 H 8 P m Le s Fe s La Fe be m Pg ub u eris Hee ee eH d d 9 Ch E a o c a Le rh E s s D c g 5 wit A 8 E x LEESCHTEN Fi oa GE CE CE CE n i ETS DEI T TIS U CE E ale REI ole o late Je le HR q Sia la la a la la la a fala a q ole le ole e ole 126 ele le s le DO 8 e s e le lee le ala a 8 lale e ele fs a c v s te JARE nee wile ol at i o Tele Je d d gl DAP g ui o LI rr wo Ie Pepe e afm Ip lr z GI rEGEUED GI rb D o f o N o apa nft a Te n n o e e ei eja o e ei e ei A N AE ole o N ele Ki H 8 0 D amp Jo H F T ra mE ele m o n A q ole d ale ole lo a o Hr FEF E v o s i Z ole lala te lels a Ie le lala AF we e 8 lela le le o ala lg KE oie m x ely H N je P m R r Im g E 5 le KJS E elt o K lr n Nto jo r o 5 v re N q r q ei H e JAJA q na Lal q q d A ke N P je q ke ke a iJ 8 q D e x 8 LJ 4 q IR E M 5 F Eset Riding of Yorkehre Ellesmere Port and Neston Dumfries and Galloway East Staffordshire Dundee City East Dunbertorishire Denbighshire Derbyshire Dales East Cambridgeshire East Dorset East Lindsey Eset Lothian East Northamptonshire Edcnburgh City of Epsom and Ewell Forest of Dean 15 July 2007 Labour Force Survey User Guide Volume 6 Local Area Data gii 2 o n o n o nv a c ole Te velo v n A wo Ll N n Ra 9 E SIE d E SIS HE E en
14. Castle Point Chelmstord Colchester Epping Forest Harlow Maldon Rochford Tendring Utthe stord Cheltenham Cotswold Forest of Dean Gloucester Stroud Tewkesbury Basingstoke and Deane East Hampshire Eastleigh Fareham Gosport Hart Havant Mew Forest Rushmoor Test Valley Winchester Broxbourne Dacorum East Hertfordshire Hertsmere Morth Hertfordshire St Albans Stevenage Three Rivers watford welyn Hatfield Ashford Canterbury Dartford Dower Gravesham Maidstone Sevenoaks Shepway Swale Thanet Tonbridge and Malling Tunbridge wwells Burnley Chorley Fylde Hyndburn Lancaster Pendle Preston Ribble Valley Rossendale South Ribble West Lancashire bere Blaby Charnywood England AA City of London AB Barking and Dagenham AC Barnet AD Bexley AE Brent AF Bromley AG Camden AH Croydon AJ Ealing AK Enfield AL Greenwich AM Hackney AN Hammersmith and Fulham AP Haringey AG Harrow AR Havering 45 Hillingdon AT Hounslow ALI Islington AM Kensington and Chelsea AX Kingston upon Thames AY Lambeth 42 Lewisham BA Meron BB Newham Bo Redbridge BD Richmond upon Thames BE Southwark BF Sutton BG Tower Hamlets BH Vvaltham Forest BJ Vvwandsywrarth BK Westminster BL Bolton Bh Bury BM Manchester BP Oldham Bia Rochdale BR Salford BS Stockport BT Tameside BU Trafford BE Wigan BER Knowsley BY Liverpool BZ St Helens CA Seitan CB wwirral CC Barnsley CE Donca
15. ET idt d d ek dek e NNN Cu KK kee KKK Gd Eu Mee NR RK ER i z F D E RU cl D GA Gi G elele c Ki mir In Q m m m mp Q o o WS jt Q e O jM njo o 17 n m m vielen A Nf Y JA om is N POTS NTN to A N JN moa a NTN oa au r l In fo ajojo a a y 9 F 5 F 1 amp TR 8 8 WT 5 8 ale 3 8 e 8 VIS v 8 5 s eles SIS P ole ra jo I a m 6 D Ls Mtl deM a A Vd Vd KN de Wd Vd Wu i lb i el ul A 21 N m T N N ar EI a la 0 aja e e a e A e Je a A Ole D H P1 A fu x N m hs N 16 v N EJ o n H en Cp gt gt t f 5 K Cd Bh il lel d bd bl id abl Weleda ol il TE eel ik lel TE N N 9 r Li Bh d dd s b d d yh Ke apina A E 3 o quim o r m Tait po EICH o o Tq ev Ia ngo ve pnm fe o o uo m e ro m y o ow o jo q o Da Gd fe d fete a e e e TO e fe Pte o 68 e ote m epo o e e e e ia o m A Jajo o A ole Ft o Wlar Te lee EECH eis ae oO o o ale 4 n o o o o r Jae je o e o om Je o o o fo I m o no e jt oO ja OQ 7 nt F npn m o n F Lu Iw an m r o un in enm Iw o m po o 7 m in H Ed RIR HEI SUE S 2 EISIR 8 8 8 AB E i e e Bye 8 2 Je JE e PRI e 18 Bye 8 R R Ef f i r u ILO unem RSE T SE n jojo m amp o 6 I n air hs Cal v Oo Jo un Ie o ro BPO ia Ton n e oa IN v 7 m NIN ke N oa eO qe qoe IN TN o N o nu ke ke Il jr N E a elg m D n o je m Q m ole le z le Oe a fe D 8 I
16. UK Data Archive Study Group Numbers 33315 and 33316 LFS Two Quarter and Five Quarter Longitudinal Datasets Labour Force Survey User Guide Volume 6 Local Area Data LOCAL AREA DATA 2007 CONTENTS Page SECTION 1 INTRODUCTION ettet rene three nea EXE nn ea erben Le debe uaa nera GECKEN 1 SECTION 2 ANNUAL DA A ege ei ebat ed ee nterna nterne neee 1 The Local Area database LADB eese nnne nter etn 1 Annual Local Ar a EFS ABEALES iiie ideo atte ac nero e Rd te nere eh d RR EEN 2 The Annual Population Survey AP 2 Weighting the Annual Datasets eene nennen nennen nnns 3 Sampling variability of the Annual datasets A 3 Standard error estimates for levels 1 U nennen 3 Standard error estimates for raies eene nnne 4 Thresholds i2 iet aZ w aha tmi ime dai c en dee 4 Thresholds for data on ethnicity sess een enne nnns 4 SECTION 3 ACCESSING LOCAL AREA DATA seen eene 6 ANNEX A Average grossing factors average weights for local authority areas from 2005 2006 APS data ee ete dete de vate d tan de edd dece de unde dd ce de dd e deve de dea 8 ANNEX B Sampling variability for economic activity statuses for local authority areas from 2003 04 annual EES data reme Peau R A 13 ANNEX C Calculating thresholds for England Wales amp Gcotland eeen 22 Labour Force Survey User Guide Volume 6 Local Area Data SECTION 1 INTRODUCTION The La
17. as a Poisson variable For such a variable the mean and the variance are equal and are estimated by n If Gi is the average grossing factor or average weight for cases in subgroup i the value of the grossed estimate is Gi ni Then ignoring the variable weights and the clustered design approximately Var Ei Gi ni Gi 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 one whereas for unemployment they are greater than one So 1 should be modified to Var Ei Gi 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 July 2007 22 Labour Force Survey User Guide Volume 6 Local Area Data So from 3 and 4 we obtain ni gt 25 deffi Or in terms of the grossed estimate Ei gt 25 Gi deffi 5 The values of the right hand side of 5 provide the required thresholds Gi 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
18. bour Force Survey is a key source of information of labour supply that is on individuals who supply their labour The LFS is a quarterly survey of some 53 000 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 macro economic information but its sample size is insufficient to provide reliable data at local level Therefore for local area analysis annual datasets are produced originally from the quarterly datasets and then with additional boost surveys SECTION 2 ANNUAL DATA The Local Area Database LADB The first design of the annual database from 1996 was called the Local Area Database or LADB and consisted of responses from four quarters of the quarterly LFS Each quarter s LFS sample of households is made up of 5 waves each of approximately 12 000 private households 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 i
19. dshire Middlesbrough Mole Valley Neath Port Talbot New Forest Newcastle upon Tyne Newry amp Mourne North Lanarkshire 17 July 2007 Labour Force Survey User Guide Volume 6 Local Area Data ul a nr ofa Papo n apio ofa te ate a m a r Ir ole 7 a i o o p CE CE LUS o ei m 7 ris NIN LS LS ES n rin o m na N A nm T n NJN A A NIN po po jo jo TN To lo N a io halle lid a eel hho det dale ie ell el ede hel lid VAN dd MN Ki Ve ges ei m m A etal ellie ell al bball baal liebe ES EISE E ES ul 2 bi M o a Qo 0 D ela a A D e Io H H un n 7 v o Di o n n N LE m N m 4 m x m BI m ole A 7 D P m EE ld d d dd ded d d d d d E e ud E lhe bel il a Iw a Pm o fum r leo bh A r Sol ofr Tj T Im q npo N Kjo m I m nr m m mio o eo un QI o Gl F n sl o e tha n v o e ole e le e e e ele le c ele fe jo Ole grog o njo ois o o pe po o 6 o 68 e om Le 0 r o r e rp o oan ki n H m lr impo eoi o fa eo i p ci w oi t za rr Ir H 8 lt jo 0 0 I H R K K S ls D b d 8 d uy A KNIJN n a a A n 20 2 ole A P TTS je o A ar moa n ejr le n n N N N N jr le y y Nie br kel fal N ole ie kel by Kl m x a OQ eT n ale m o m n h Le ESI dk Ve Vd dg eh ddN ER kd PESE DE NR abel hd d ead Red D P c c 3 a m m opu a r Io n nm en Qo n N ain OQ a opo o Du E Oo epo no e nm H D N ejojn N ris vjr m jN N jr jo ke e N erie N ke
20. h Bedfordshire 11UB Aylesbury vale 11UC Chiltern 11UE South Bucks 11LIF VvYycombe 12LIB Cambridge 12UC East Cambridgeshire 12U0 Fenland 12UE Huntingdonshire 12UG South Cambridgeshire 13UB Chester 13UC Congleton 13LID Crewe and MNantyvich 13UE Ellesmere Port and estan 13UG Macclesfield 13UJH Vale Royal 15UB Caradon 150C Carrick 15U0 Kerrier 15UE North Cornwall 1500F Penwith Restormel oo Dp ae M Dono 1 2 A 6 A D 3 0 0 5 3 7 e ca 3 e 12 09 09 6 6 a Fi d e 5 4 2 3 ae SEET OU OO e o 31u 31 31 Harborough Hinckley and Bosworth Melton Morth svest Leicestershire S31LLI Oadby and Yvigston namuaomTrdg nmuouomTrg Q nmumoltur nmugz ug nmuomTrg Uogmnimugtu ni usu I Boston East Lindsey Lincoln E North Kesteven South Holland South Kesteven west Lindsey Breckland Broadland Great Yarmouth King s Lynn and Wwest k Morth Moartolk Norwich South Morolk Corby Daventry East Morthamptonshire Kettering FHortharnpton South NMonthamptonshire Vwellinghoraugh Alnwick Berwick upon Tweed Blyth alley Castle Morpeth Tynedale VWwansbeck Craven Hambleton Harrogate Richmondshire Ryedale Scarborough Selby Ashfield Bassetlaw Broxtowe Gedling Mansfield Newark and Sherwood Rushcliffe Cherwell Oxford South Oxfordshire Vale or white Horse Vwest Oxfordshire Bridgnorth Mort
21. h Shropshire Oswestry Shrewsbury and Atcham South Shropshire Mendip Sedgemoor South Somerset Taunton Deane west Somerset Cannock Chase East Staffordshire Lichfield Mewe astlhe underLyme South Staffordshire Stafford Staffordshire Moorlands Tarrwearth Babergh Forest Heath Ipswich July 2007 164 164 16U 16U AR AR AR AR AR EAR EAR EAR 18U 18u EUR 18u 184 184 18u 18u 18u 18u 18u 18u 18u 18u 20 201 201 201 201 201 201 21U 21U 21u D F G D E D F G H J AIM T mr B D E F G H J c D E Labour Force Survey User Guide Volume 6 Local Area Data Barrow in Furness Carlisle Copeland Eden South Lakeland Amber valley Bolsover Chesterfield Derbyshire Dales Erewash High Peak North East Derbyshire South Derbyshire East Devon Exeter Mid Devon North Devon South Hams Teignbridge Torridge Wrest Devon Christchurch East Dorset North Dorset Purbeck West Dorset weymouth and Portland Chester le Street Derwentside Durham Easington Sedgefield Teesdale Wear Valley Eastbourne Hastings Lewes St Edmundsbury Suffolk Coastal Waveney Elmbridge Epsom and Ewell Guildford Mole valley Reigate and Banstead Runnymede Spelthorne Surrey Heath Tandridge Waverley Woking North Warwickshire Nuneaton and Bedworth Rugby Stratford on Avon Warwick Adur Arun Chichester Crawley Horsham Mid Sussex Worthing Kennet Nor
22. is email with our later amendments included The UKDA advise that the best way to obtain the APS licence application form is to follow these steps assuming you have already obtained your Athens id and registered with the data archive to request the data via this page http www data archive ac uk findingData apsTitles asp At this stage you will be prompted to register a usage research project if you have not already done so The data set then gets added to a table and there are two links to click on in the Status column Request permission Complete Special Licence This places a request within the ordering system and links you through to the latest version of the APS Special Licence to complete together with instructions as to how to return the completed application Further Information For general information about LFS local area data please telephone the Labour Market Statistics Helpline on 020 7533 6094 e mail labour market ons gov uk For further information about the ONS tabulation services contact lfs dataservice ons gov uk or Tel 01633 655732 For more information on Nomis contact info nomisweb co uk or Tel 0191 334 2680 July 2007 7 Labour Force Survey User Guide Volume 6 Local Area Data ANNEX A Average grossing factors average weights for local authority areas from 2005 2006 APS data Average AGF 1000 Average AGF 1000 Grossing Grossing Factor Factor d Rother Wealden Basildon Braintree Brentwood
23. l to the size of the estimate For the later boosted annual LFS datasets because of the different sampling fractions in different areas it is not possible to provide a table of size of estimate against standard error However there is a simple conservative formula that can be used to derive the standard errors of estimates of levels SE estimates for levels An approximation to the standard error for an estimate of M thousand Mr from the annual data can be given by J Mr G 1000 1 Where Gi is the average grossing factor or the average of the weights for all the records for area i July 2007 3 Labour Force Survey User Guide Volume 6 Local Area Data Average grossing factors for UA LADs from the 2005 06 APS are given in Annex A If the area of interest spans several UA LADs then the average grossing factor for several areas G can be given by Ds i 2 5 i Where gi is the average grossing factor for area i and siis the 16 sample size in area i W The 95 per cent confidence interval for an estimate of M thousand Mr is given by Mr x 1 96 s e SE estimates for rates A simple formula for producing standard errors for proportions assuming a simple weighted random sample is Square root p 1 p n For instance in the January to December 2006 APS dataset the estimate of the total number of people aged 16 and over who are economically active is 28 182 564 This is 59 4 of all people in the UK who are aged
24. n an annual dataset Wave structure of the LFS q1 q2 We q4 When the 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 So the LADB covered the period March to February the quarterly LFS was moved to Calendar quarters in 2006 July 2007 1 Labour Force Survey User Guide Volume 6 Local Area Data Annual Local Area LFS ALALFS For the period from March 2000 to February 2001 extra respondents were included in the annual data 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 is designed in such a way to give an expected minimum sample size of 875 economically active adults in each 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 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 of 875 economically active adults However to avoid saturation sampli
25. ng 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 only is available in articles on the National Statistics 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 Because of a European Regulation in 2006 the quarterly LFS changed from being based on seasonal quarters to being based on calendar quarters quarter 1 January to March quarter 2 April to June quarter 3 July to September and quarter 4 October to December However the annual databases moved to a calendar quarter basis in 2004 From January 2004 a new sample boost was introduced in England only The aim of the new 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 Neighbourh
26. old These thresholds can also be applied to the APS July 2007 5 Labour Force Survey User Guide Volume 6 Local Area Data SECTION 3 ACCESSING LOCAL AREA DATA Local area LFS data are available via four routes i National Statistics website The Local labour markets statistical indicators publication can be found at http www statistics gov uk statbase Product asp vlnk 14160 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 statistics gov uk labour guide 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 nswebcopy statbase product asp vink 4752 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 al
27. ong with corresponding 95 confidence intervals Annual LFS APS data are available for the following 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 National Statistics web site and from Nomis are pre defined aggregates For users who want to specify their own analyses and tabulations ONS runs a service to provide these It is called the LFS Dataservice but despite the name also provides analyses of APS databases There is a charge for this service To request a table from this service or obtain more information about the service e mail Ifs dataservice ons gov uk iv Access to APS micro data The UK Data Archive UKDA in Essex are now managing a 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 Obtaining the data under special licence involves two key stages July 2007 6 Labour Force Survey User Guide Volume 6 Local Area Data First you need to get access to the
28. ood statistics The new boost was called the Annual Population Survey boost and this new boost combined with the Annual Local Area LFS which included the ELLFS WLFS and SLFS was called the Annual Population Survey To avoid confusion between the whole dataset and the new boost the whole dataset is called the Annual Population Survey APS and the new boost is called the APS B 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 Some estimates from the APS therefore for example those relating to qualifications are based on a subset of the database that is 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 ELLFS the WLFS and the SLFS 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 July 2007 2 Labour Force Survey User Guide Volume 6 Local
29. ore 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 ethnicity is particularly clustered since it is likely that all members of a household living at a particular address will share the same ethnicity 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 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 annual samples means that from 2000 01 sampling fractions may vary between Local Education Authorities in England from 2001 02 between UAs in Wales and from 2003 04 between Scottish UAs database English LEAs and Scottish and Welsh UAs receiving a larger boost will have a higher sampling fraction Northern Ireland will see no change The sampling fraction varies so that the 875 target of economically active adults is achieved across LEAs and UALADs Where the sampling fraction is consistent over all areas the standard error of an estimate of a level is proportiona
30. pa paga M 5 5 3 m ade fo fe m P let m S D 2 La A ole o un N o Im 9 clas EAE ER PEE EET EEEE PERCIPIT n e ele fe e m e N A me pe feu po the eo e A amp poena T KP E m m I o EE o epu pure qe po g Q jr Fleig o 7 o O in n o Hu n q Lei c H A Tate te da ajo Tele o ao m ole ole e fe ele le lata ata fe A H ce d ojt H HIS 9 P 210 Ie P o joje 3 3 ipo ape d ep mo e a 3 P w EECH n d g N Ai ei N gi D g WI S D E 6 g c F I 5 d R AJA A JA a v ope hs o t ts A M d bb n ei fo d rie N N q N d 8 N jr d N rin Le d ole N N N H m 9 bh q a a 8 8 H 8 8 OQ 5 9 H e H e e 3 s o ka Is ala o mm ole d N N w q a N JAN N JN jr H epa d Om jr kel LB bel D Ze jo jo e No m I 2 P Dir Io o a 3 E rjo p H P RI 3 Q I 3 EC P a H a P E 5 s z ggg air amp it gik isig Kl i 8 Ai 5 K I ops RIRE o Lo R ele a s M ejr 9 m N JN Njo o orm kel E KE CE GE C N jr 9 A I N 1 ole Q e the ele le ele d ele ol o o e jaje e jr e Je d ole A a P glo e a no r H 8 es q o a e a A B r 8 H RSE RSE SE RSE sg South Carnbridgeshire South Derbyshire South Northamptonshire South Ribble South Staffordshire Southend on Sea Scottish Borders The Shetland Isiands Shrewsbury and Acham South Ayrshire South Bedfordshire South Gloucestershire South Lakeland South Lanarkshire South Stiropshire Staffo
31. rdshire Moorlands Stockton on Tees Salisbury Scarborough Shepway 19 July 2007 Labour Force Survey User Guide Volume 6 Local Area Data Wa c A N A 2 m n A JA f o rm Ie P we z H SE o r io e ca m v e rm Te Pe fo r Te pao po pe a jajo po a o Di a o o eo o o njo tts ola ole o o o o o A e o e fe o 8 a leo le A joja a o le A o e e e e o ajo o lo T o D 7 T 7 D 7 H amp 8 8 8 G We A 8 o 8 R x H 8 8 E E amp 5 5 8 4 HK m n m A mio n m D e gt A E28 B d dl E EEE EE ul lo m o fo o jaojo fr njo a o D D Wl o ela ata o a Jo Ja v o a ele ele a 7 a n o oa rq m Is E i o ni nr a E er e e lt e Hh A Fs dd Hd E EE d hd d E d d EE E EAEE x e m m D m r ESSET E P s P d SP e PE DR e PED D AL COMER REAL H D E z Fi hart bi U EE RE pn po qo or G EI o A oe GE GE G O ole v A N Gee Gal ole D v ni om Oy d ie le A ele CE GE CE r GE o n ele fe la fa n ele ede fade ja ele A e ot Ole EECH o o r je o Of o o o o tia e OTe e ojn vc lot j e po Telo ja om g A o o o o o o o o un m o o NAJA n G e D wm cide o le ii m e n pui im po mo po la 9 j m ei ei nj a tt Ed Sigi EIR 8 8 i e ale o re rr BPE TRIE ie e o re i 8 eR e e 8 JE jz 18 le REJE amp k E Wy A ojt jo a j Ole j oj TIAGO ke r 6 o o e e ia o o KN n ei e ja s o n f ok o ele fett n n
32. ster CF Rotherham CG Sheffield CH Gateshead C Newcastle upon Tyne CE North Tyneside CL South Tyneside Ch Sunderland CM Birmingham CO Coventry CER Dudley CS Sandwell CT Solihull CU Vvalsall CM Wolverhampton CX Bradtord CY Calderdale CZ Kirklees Iloanmuomgonmuoomsozi CIlGnmuomuzi A amp IGQmucgiur Ly tno De se oOnnnonoonoonoonoconoonoonoonoonoonDooOonoonDoOoDOoODoOOnDOODOODDOODOODOOnDOOnnO July 2007 8 July 2007 Labour Force Survey User Guide Volume 6 Local Area Data DB wvakefielcd EB Hartlepool EC Middlesbrough EE Redcar and Cleveland EF Stockton on Tees EH Darlington ET Halton EL Warrington EX Blackburn with Darwen EY Blackpool FA Kingston upon Hull City af FB East Riding af Yorkshire Fo North East Lincolnshire FO North Lincolnshire FF York FK Derby FN Leicester FP Rutland PY Nottingham GA Herefordshire County of GF Telford and Vvrekin GL Stoke on Trent HA Bath and Morth East Somerset HB Bristol City of He PMorth Somerset HO South Gloucestershire HG Plymouth HH Torbay HM Bournemouth HP Poole H gt lt Swindon JA Peterborough KA Luton KF Southend on Sea KG Thurrock LC Medway MA Bracknell Forest MB west Berkshire hic Reading MO Slough ME Windsor and Maidenhead MF Vwokingham MG Milton Keynes ML Brighton and Hove MF Portsmouth MS Southampton Mew Isle of vviaht suc Mid Bedfordshire DOLID Bedford OSWUE Sout
33. t th pho frei fu 8 N m Mi v Jo o a A o i v o N Lu m m o ajojo p ele c D 7 P D a a o o Je m IW ki m ole n m ja po rm ola PH pe pe po 0 ai le ei mpra m n A n ev m 7 n A m m m o Im A N jr ig fo qp TO TN pa o a m mi lo Ch N 7 7 r 7o o io o jO Io I 7 o o o m I ojo VID o o o v o o o o o ajo o o o o o o o o Iojrcio jo o ape e D s LU U m A e e ole w 1 gt AV Ee aE E 5 E 8 8 8 E EF F E JEJE JE 8 8 JE 8 E 8 8 JE JE R o ie JE pale E E 13 E 8 amp JERE o 181818183 u lm QI n CHL o Jo qm o o o 7 n so o N o 0 oja r l A g sje o em pe N n v n e oa kad e e o A IN jr je Ld ele febela 1 n 2 e e n 4 o o r o m ole o r fo t n o e r r f b gi HERE 5 j ale sg II I HERAUHHEUIE amp l lalalalalal3la 18 3 8 3 18 18 15181816 1515 RSE gt SE m 1 gt E U n u RSE SE Brighton and Move Broadiand Carrarthenshire Carrickfergus Castle Morpeth Castlereagh Crewe and Naitvaech Bridgnorth 14 July 2007 Labour Force Survey User Guide Volume 6 Local Area Data i Wa fa To T Z m D i Ip i ole 7 T oO o d e Je H D D H D ele Li oe a n o o o r o a a 7 I e a m ES C EZ m m be To o po r r e rr o ole fo fei foi a Je a o N a ole a ole o o e n ole e m 7 o G ade n n T s T T D H g H NI
34. th Yviltshire Salisbury West vviltshire Bromsgrove Malvern Hills Redditch Worcester Wychavon Wyre Forest 10 July 2007 Labour Force Survey User Guide Volume 6 Local Area Data Wales Average AGF TODU Grossing Factor MA MC ME MG MJ ML MEN MS Anglesey Isle af Gwynedd Conwy Denbighshire Flintshire Wrexharrn Powys Ceredigion Pembrokeshire Carmarthenshire Swansea Meath Port Talbot Bridgend Yale of Glamorgan The Rhondda Cynon Taff Merthyr Tydfil Caerphilly Blaenau Gwent Torfaen Monmouth shire levy port Cardiff 11 Labour Force Survey User Guide Volume 6 Local Area Data Scotland Average AGFr1000 Grossing Factor C Aberdeen City OD Aberdeenshire IC Angus OD Argyll amp Bute QE Scot Borders The QF Clackmannanshire aG Vest Dunbartonshire QH Durnfriez and Galloway Cl Dundee City Ok East Ayrshire QL East Dunbartonshire idw East Lothian Qh East Renfrewshire QP Edinburgh City of GO Falkirk QR Fife OG Glasgow City OT Highland QL Inverclyde avy Midlothian CG Moray Gr Morth Ayrshire GLZ Morth Lanarkshire RA Orkney Islands FB Perth and Kinross HMC Renfrewshire RO Shetland Islands RE South Ayrshire RF South Lanarkshire Ro Stirling RH west Lothian FR Eilean Siar Western Isles 12 July 2007 Labour Force Survey User Guide Volume 6 Local Area Data ANNEX B Sampling Variability for economic activity statuses for local au
35. thority areas from 2003 04 annual LFS data ity iab ing var Sampl ANNEX B PE mn ec ke jt e N n elo N na K D D G ele DG D G SS amp o e o fo o ja fafa n je o o o o m e pa o o oo th epe e epo n fe t o o le e o o e m rie ja 7 o o fata 7 9 o ja o da de de 7 e o lo ajo a rn o Nie r ria o da fe Je fo a o 9 dade 7 B SS 8 S 5 8 8 8 8 ere 9 ps 8 5 8 pele is 8 8 8 MAAE Sp e D P m P n 1 n ji ts D m D L8 A d EENEG EE ian anu ul 7o F 0 o ME CE Hh en o o o Lei n 7 lo a e je a o jo e ele c a e le a o e a t D ts o m 7 T EI je t o o n a 3 n m 4 K e N ag ir I aia x m dja H 7 a z f Ia D I a Bh d d b d hd hile lel d al el d dla d KKH d du qu RRL oj x Wi n quo Iw n m 7 rie r o o m o jo o o jo H NJN m m uo G I m e ou N P u A A ole m e a n A eja o e ole m o N otc u z Tun m r TO Di m oO Ez q o m o r 7 ei GI Di v Te I a no ro Te E 7 qu 7 tle Je n le e d ojo ata te ojaa e A D e le Ole I0 fe fe fe Ole ECH Qv o jo A jejo jo jao m Ei a o n o o Hfefe io o o copo o a jo P o oa o o N ja v oO Ir 7 w ha D Im i t i aici w i D ci foi Tr i i n ZC RJR 8 Kk Pel JE i ie i J Bye C 8 8 z 9 8 k JE RIE Ja a8 je S 8 I e 18 5 8 R ot nfa fe fo fe r emo D a o re D Ta fou a o D n
36. ts w je e m Wi ate pud Uu e o louis le e lt a 8 816 818 II Lu SIE Cie ele pe e e 6 8 o eel alG r Be 8 8 i ISIE sls o uz TI 7 S S SIS Tri 7 T Ss o N 4 y S ZS z TT a Tole STE S T S SITZ eT v To 5 STEI E n n o s fe 3 o oi al n D ci e o ci fei GS GE w ci fede n OQ 3 e m ole e A e m Ce H It m I H H 8 8 5 n A 8 ay q o 2 o 5 RIBIS S gt gt s gt 2 uz N JAN n NTN m AN N A JAN A oa A JA ajo len bel a mi fe OQ ot 4 n EJ Q a m a Vi ata a mim Lal a P I EJ e ain a je MJN ke a a ke n Ll ale em ci a o nE GE GS CE nI CS o o o efai cle D a ale a fei e leie ala oo Je o Jafe Jeck aoa 5 8 s S 8 9 S S atala lototele 8 lo E I7 ET I ET oe oe SST 2 To m G E EE G Ea G a fo r A R 6 6 6 A e w o a s PIR IS ese e E aiae 218 8 IS 8 8 3 8 s 8 18 JE 8 8 9 amp a i 8 o Rea E RLS rs i o E f i ye m RE CE CE CE CE GE I a EE a rHEGEESEI CERE CE CE CE CH G E TT lololol e uo 5 alo RTS o o jojo yo D Wi a wie Q I se J La a ew it ia A Q na Ll Le ole Le Jo a e eoo pe AJA Ke Aa tele Le m o jr o m Ole po o po o oi amp om F qe t bell A m e miu INI f EREE EEE d EE EEEE dihi EE ge il ii i de iji HE 1 H H a I 9 8 u incolmshnre North East Derbyshire Newosstic under Lyme North Eset Li Newark and Sherwood Newham Lichfietd Malvern Hilis Mansfield Merttryr Tydfil Mid Bector
37. us 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 396 compared with an estimate of 25 000 which has a standard error of 3 100 and a relative standard error of 12 Before 2005 publication thresholds were applied to quarterly and annual LFS estimates That is any estimate which is smaller than the threshold was considered unreliable and hence not published However more July 2007 4 Labour Force Survey User Guide Volume 6 Local Area Data recently no estimates are suppressed due to lack of statistical 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
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