CODING FRAME FOR AREA DATA BASED ON 1971 · PDF fileHmaeblda shar~ or lada~ a bsth / All ~lda ... ~ Cdy reatric’td Lltatieticeto 61mre Cmfidentislity they ... 2109 Pallo A8111 A8112

CODING FRAME FOR AREA DATA

BASED ON 1971 CENSUS (1/1 1/84)

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NATIONAL CHILDREN’S BUREAU8 Wakley Street London ECIV 7QE

Telephone012789441

1.

5.

6.

i’.

9.

IrLtrductim 1

?u-eadate altk N=6dstatnee 3

Cefiniticmof 1971census m.tes kllda in the Paxasta base. 5

Using areedeta -smeinqm-klt pintetomte 6

Areadata cntimmtahchlve 8

Vs.riable rbemes* latels 9

E@al-lstlon of Cdes used 10

Anmxe

Nms4-The distrlbJtialoffncIAcmMccdes forth?internew sumq Ss5@e

-4 - Area cdi.rlgd it’s uses.

Dncfcv Ronti Dmm PhDF0Ps5 SW,.IV LOUISEHarcod OPA FC!S

2

1-

mmxmcrlcm

1. ‘lluscedingframedescribesthe area cding, baeion 1971@msusdat?.,whichkasbesn addedtithe Iwlxdatatase.

2. luas odes were aqplmd by CACI Intematia-bsl.The addressof mchmmkrofthe =ccimtwlm~ci@xd inth1981aurvey &aa~t-cxdedas ~llastha addressat thetime of thelastlarqe scale Surveym1974, (as rem &r@ the 1981 survey) ‘I&* ~tcdes were then @to acceas emmeratlcn district aml other 1971 Cemus till Area Statistics[=) data held cm ccmpter filety CMZ.

3. Follurmg dxecksfor insistency,thesearea cedeshsve now beensddedty = to tbe MR34 interned surveydate base. For .esA respxrlent~ Prwlde bti at 16 (1974*s==) =7 23 (1981add==) thefollcwing:

;a) la=atim axles- p5tca5e, OPCS Censusmatri~, o= ~tlalDlstrLct, anstituency, ward, _, district, ~cn.

(b) ACCW type - tlus is a classifmeticn of OPCS esnmeradiSti& into 36 resident.talneiqhtmrkd ~. &%eeal-flcetial is baaed al 40 censusvenables aweriq dsmqraphicStrwture, halaeholdCaqOaitlal,housing,Sccio-eammicstructureaml residents*al@lqmsnt alaracteristlca. TheseMrmJneghbu%cd @pes m m turnbe classifid mto just 11 MCR4-P:

A.B.c.D.E.F.G.H.I.J.K.

Hem familylm.Mng for mmal workersMx3ernfamilyhmai.rq, higherlnanEsolderlmslng of htermdla“ te statusvery pax qualityolderterracedhousingRuralareasUrban I.ccalautlnrity basinglba~ with lms.tcrnmmd@bwincuaea reaswitihmlli~tsStliimt ad high status ml-family areaswticnal high status Surburbi.aAreas of elderly ~le.

220

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(c) Cmetltuacy &p . this is a classificaticm of the 623cmetituenEiesusingthesame40~ variablesWhid’1axe thelxlel.eof MmUi. me Claesi.ficatial is, ImPmar, different.WA onstituenq ia sd.located to me of 30 qmp.bqa (clusters)whiacanlnturnbe~ intci6~gmupb3e(fsInilies):

1. Whlrbe ad Senriasmtresl.2. Ruralareastieeael.deresarte.3. Grwth ~.4. Stableiduetrial areas.5. ArOse&nimtd by lcm.1au-ity trueing.6. Met.rc@ibxl * areas

(d) ~ WMMSS - these19 varmbles prcwideamnsry area datadescriptiveof differentaqEc& of the ecuo-eanmicstructure,snplqmsnt cMrmterietics ard hmeing envircrmsntfor eachrespdent. They are recxzdsdfor both

(1) 1971 @-lsus ~tim tistrlct - the smallest unit for$AllChcsslsus statistics are availaide with an average-aticn of ekmt 460

(il) pm-l974 laal auttmrity.

4. Furtherdetailsof the area data aretobs fcumlinthemnexetothis CxM.ngf- WiUChincludesUJpleeof the fomwLng:

‘NC3X4- ‘llEdistm.tmbcmof CACt ACCXW CYXIeSfor the intemiewsurveysample’.

8‘IKZS4.AreaCedingad lts uses’.

Yal are Straqly aiv-1.sedb all,sult the folbli.ngMore mskinguse ofFUlS4 area data:

= (m date) site msrlw41 CAu Intermtid.

C?CI[mdste)manewa~ & to nadcet analysis. mZiltermtialal

WEE3ER, R. (1978) Parliamentary anstituemcies: a saio+ccmndcCzasslficatlal. Om Cccaeicnal Pap 13.

Wl?SBE+, R. (1979) &WJS enunera ticn districts: a sccl~ccl.assifimticn. OFCS CCcaslml Paper14.

~, R. d WG, J. (1978) ~i~ c Classiflcaticnoflma.1autbritv areas.- Stmilesal W&Lcal am [email protected]% No. 35.

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oPPRsHAn, s., ~, D. ard ~, A. (1980) ‘A critiqueofthe lmtiam.1Cbssificatialaof oPCS/PRPG;TtmnPlann.imReviw51, 421-439

, WESSER,R. (1980)‘A ~ to the critiqueof theOKS/mxnaticnalClassificatims; Twn PlanninqRevia 51, 440-450.

Areadata altbtKlx&tatase

5. ‘IWm&ta has bem&%ltotk tK3xdate kaseasmxEu3TYPE6.Recordtypa6&sts forsUttrse interviti durirqthe K3X4sumqprwided a cctmfxsheet was~titimcn. Remrcl@pe6 _~ twicefor any me Irk3ividual. T& first ~ will amtain dab for the1981 [email protected] & ~data for the 1974 s&&sea if this is adifferentaddress. Wherethe 1981tiess ard the 1974aMress are thesam recordtype 6 for the lattermll anslst of blanks. ‘lTusstructure1s the resultof the attmpt to sinplifythe taskqven to CAU adINru.misetb Srd Ccst. Wwart&less, the follming 52 mrubles areeffechvely availablefor toth 1974srd 1981 address:

Variable

VARol

VAR52

VAR02

vmo3

VAR04’

VAR05

VAR06

VAR07

VAR08

vmo9

VARlo

VARl1

VARl2

VARl3

Date of acliress

Postcu% statue

Post&e

OPCS @naus District

OFCs mum2ratial Dietxict

lccml

Onstituency ~ nuuber

Ctllstlmcy type

ward

met-l 974 &unty

Rxt-1974 District

Pre-1974Cmnty

Pre-1974 District

Stamb—rdRegal

-4-

w hmeratirn Metrlct (ID)ad =+1 974follmillg reties of 1971 Cermle variables.

Variable

g g

VARl4 VAR33

VARl 5 VAR34

VARl 6 VAR35

VARI 7 VAR36

VAN 8 VAKi7

VARl9 W8

VAR20 VAR39

WI VAR40

VAR22 VAR41

VAR23 VAR42

vAm4c VAR43

VAR25 WR44

VAFG?6 VAR45

V?W7 VAR46

VAS28 VAR47

VAR29 VAR48

VAR30 VAR49

V?!R31 VARso

VAK32 VAR51

Lccal Authority (IA) the

Sideor eeekirqwork / All ecmmicelly ative pcple

uarri& fdee mr!dng / AH fenales eq!d 25 - 64

Fec@ein Mining -Manufacture /Per@e ~

Pe@e h Jkgriculture I people mrk.ing

Profeasimal & kiamagerial I All ecunnical.ly active ~le

Nm-!lwlual / All eccxmucally active pcple

Sk-i.lled/ All ~cally active ~le

.%ni-alulled / All ecuxnudly adve pcple

Unslulled / All ecannically active pcple

A@ O - 4 / l’utal pgalatlcn

~in~ccmpled llcmseblds / All llms.eblds

Per- in Cumcll tel’lantI-lma&mlde / All ImJeetdda

Per- In ullfumia tenant ~lda / All inleeholds

Perslns in furnished tenant Imleelmlda I All kaledlolda

~inbla&lOl.de /I@clrsln hcuseholda

Iicueeklda with all amenities tit sherirq acne / Allblaeimlds

FLca.Isdmldswith m tilde W / AU ~lds

Hmaeblda shar~ or lada~ a bsth / All ~lda

limugrants / All people

Definition of 1971 Census ratios included in the NCDS4 data basa.

d

Variable

ED—

VAR

VAR

VARVAR

LA—

4a VAR33

ab b5 VAR34

6; VAR357a VAR36

VAR18 VAR37

VAR19:VAR20

VAR21=

vAR22aVAR23bVAR24bVAR25bVAR26bVAR27VAR28VAR29VAR30VAR31UAR32C

VAR38VAR39

VAR40

VAR41VAR42 bVAR43 ~VAR44 bVAR45 ~VAR46VAR47VAR48VAR49VAR50VAR51 c

NumeratorSASRecord

S1

S2

S2S2S1

S1S1

S1

S1PHHHHHHHHP

*Cell Numbers

(366)

(80)+. ..(82)+(89)+. ..(91)

(255)+(262)(256)+(263)(254)+(261)(203)+...(206)+(215)+(220)+...(223)+232)(207)+(208)+(224)+(225)(210)+(211)+(214)+(216)+( 227)+(228)+(231)+(233)(209)+(212)+(217)+(226)+( 229)+(234)(213)+(230)(212)+(215)(248)(250)(252)(254)(262)+...(266)(6o) X (32)(64) X (32)

DenominatorSAS

(62) x (32)(((486h...(488))x((32>...(35)))/1,000 P

Record

S1

P

S2S2

S1S1

S1

S1S1PHHHHP

Cell Numbers

(203) +.. .(236)

(390)+ ...(397)+(300)+. ..(307(254)+. ..(267)(254)+(267)

(203)+. ..(236)(203)+. ..(236)

(203)+. ..(236)

(203)+. ..(236)(203)+ ...(236)(32)(32)(32)(32)(32)(32)-(38)1,0001.000

404)+, ..(411)+(314)+. ..(321)

1

Cn

I

1 ;000(439)+. ..(450)+(465)+. ..(470)

SAS Record - is the 1971 Small Area Statiatlcs Record from which the data were taken: P is the100% Population record; H is the 100% Household record, S1 is the 10% sample,record 1, and S2 is the 10% sample, record 2.

Cell Numbers - indicates the cell numbers in the published 1971 Small Area Statisticsmagnetic file layout used to compoee the count.

a Basedon 10%sample data and has large aampllng error.

b Numerator and denominator used WI1l produce values greater than 100 percent

c Method of calculation WI1l produce negative valuea

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Usinqmdata-care imnrtant m int9tomte

6. InueiIKJKlx4area datayouatuJld mte that:

~ (a) this- framecmtaine detailsof the cdes used far allvariableeaxcepttinxeuitha verylargenm&rofCategories:

Variable No of Cateqori es

R3stadeQPCS Mums District~ Enunaratim District 125,000ward 18,000

(b) wlulstdeexxiptivelakelshave keen mcltied for allvariablesm the data base,labelsdeecrtiingfivtiualcedesare Prwidd for the follmdng mly:

Variable Wo of catqorise.

m 37caletlimancytype 30Post-1974 county 165Pre-1974ChJnty 96Stddard F.qim 15

(c) The lccatim ties mcltied m the =4 datatads areluetarctuml. Snlmemtla-1district,censusdlstrlct, ward

ad pre-1974 DMtrmt, as wall as pet-l974 Dlstrlct,can< cnly he umquely u3erkifm3 by a cmknnatim of codes. The

e.krmlltsd orderof cad-lczxnblnatimare as follc%#s:

Ihlqvs m~ts ad Orda of cmltmlaticnlccatial FT*l 974 Pre-1974ade

~tlal -t-l 974 PK*l 974munty Dktrlct Ward D@xict DIStdd Cbunty Dlstnct

nlLmeIatlaldlstrlct 1 2 3 4 5

district 1 2 3 4

ward 1 2 3

F-KS-l974Distrm’t 1 2

rest-l974D1s&ict 1 2

235

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(d)

(e)

(f)

c

-a~t-liwinmm=~ tit -~ Cdy reatric’td Lltatieticeto 61mre Cmfidentislity theyhavetem eUomtden MrlUim3eof 37(vARo5= 37) and motherdata are givm.

wherea reqxrdent was livingina ‘special’m (q. hmpi~ orOti-er‘illetititicn’) theyhew ken ZLUOG3M an m Czx5eof 37(VAR05= 37) tut all otherdata St%uldbe present. Yal ehUIMexcllxieSuchdata franycuranalyses.

YOU ehmld ewid usingthe variak.leslistedbelcwat m level.~~~tim-titi OPCSfarmlyal O~centramim eanqleof * Oeneuepqmlaticn. As EZs typicallycmtam250-500residentsof wham mly a prtlm are eccsxmicallyactive,It followsthat,in ea~ ED, irduatxy* = are availablefor atEest a sanpleof 35-40~le ad that samplmg errormat belarqe.

VARl4 sickor seekingWrwxll ecuxmcally activepeqleWI 5 liarnedfenaleewrking/AU femles agd 25-64WI 6 Feqle in Min.mgor 14snufa&urelFecplewark.iwVARl7 Pe@e in Agmculturelwle woz$dngVARl8 Professlmal & 143nagerial/All-. ative pecplevim 9 wrl-mnual/All~dly ative ~leVBE?o skilled/Allecxmmicelly act.wepeqleVARzl smi-skilled/Alleoxmdcally a&ve pecpleVAR22 unsk.llled/Allecmxnucally activepecple

~uee of the n~tor ti d%xxdrntor used the follcm.rqvariableswill

Variable.m gTxRl5 VAR34VMC24 Vm43

VAR25 VAR44

VNC26 VN?45VA&27 VAR46

takevaluesgreater than 100 percent:

Marri& Finalesworkirq/allfemlee 25-64~ ~i~ hOlla&Olde/all

=12Perscna in ccnnmll te’lerltlmseholds/allblselloldsFersma in urftmuahed tkm.sehOlds/all ~etddsWrsrns in furmshed tsnantkusehoMe./allkNseholds

Wcause of the mthd of calmlation negativevalueswill cccurfor the follcwingvariables:

Variablem LATm2 —WI nm@rants/All ~le

-8-

(g)whell lwlcenausa readeti=m klddalan 8P8seat-tmctfile the va.rlablenamesmat )x2ch3n@ as folkwe:

- variables VARol - VAR52 rel.atirqto1981~S arealwam to be giventhe name A8101 - A8152; ad

- variables VARol - VAR52 rdating to 1974 ~s are_ to te given the names A7401 - A7452.

(h) CXI were unable to prwide data m a~tely 700 1981Fd3resSeaedsoo 1974 addressee astheycouldnYttepmtccxied or tece.uae the pcdxde’, aNhulgh VaM.d, did I-dappear ~ the W pxtccde file. NC3 have mkequently kmable to add lmitd lmetxn cedes (ie. rwgim, ccunty,lccalauthority) Ixt detailsof AclXC4cxmstituencytype.erd~

.eneraUyreranratlc6g nuss~ for thesecases.

Areadata rmthe FsRcmta Archive.

7. In Order tosnsurethe~ty ofmmters oftk~colmti,the follcwingareadab have not been Ulcludd cm the datasetheld bythe Ez7ECceLaArcMve:

mte of *SSS

FOstcde

. OFCSRunEra tim Mstrlct

ward

8. ‘lhedataheld byt&Ardive are taken franan SFSSfilearx3,inlme wth 6 (g)stove,crnslstof tw setsof variablesfor each~=t:

(a) variables A8105 - A8107, A8109 - A8152 relate to the~=t’s 1981 tiess;

(b) variablesA7405- 7407,A7409 - A7452 relateto thereqx=kt’s 1974 addKSS

(c)All nussmg valuesare assignedthe value -1 (minusme).

Y-

Vadable rnme9 ad labels

variable rare

SPssFnlEs/t’ux mK!ARcuvEmm 1981 1974

VAR03VFR34VAR05VPRO6

VAR08VAR09VARloVARl1Vml 2ml 3VARl4VARl5VARl6VARl7ViW 8ml 9VAR20VAR21VAR22VAR23VARN’VAR25

VAW7VAR28VAR29VAR30VAR31Viw32vAm3vAlU4VAR35VAR36VAFU7VAK18VAR39VAR40VAR41VAR42VAR43Vlw44V7W45VAR46VAR47VAR48VAR49

VAR51

V7R52

AixuEssAmwss.—A8101 * A7401 *A8102* A7402*A8103* A7403*A8104* A7404*A8105 A7405Ml 06 A7406Ml 07 A7407

Labels

Ml 08* A7408* nARD2109PalloA8111A8112A8113A8114A8115A8116A8117&9118A8119ml 20Ml 21MI 22A8123A8124A8125A8126A9127A8128A8129MI 30Asl31A8132A8133Ml 34A8135AOl 36A8137A8138A8139A8140A8141A8142A8143A8144Ml 45A8146MI 47iif3148Aal 49ml 50Ml 51A8152

A7409A741OA7411A7412A7413A7414A7415A7416A7417A7418A7419A7420A7421A7422A7423A7424A7425A7426A7427A7428A7429A7430A7431A7432A7433A7434A7435A7436A7437A7438A7439A7440A7441A7442A7443A7444A7445A7446A7447A7448A7449A7450A7451A7452

m 1974 axnrr’i= 1974 DISIRICTPm 1974 aiiNIYT?aE 1974 DIs’mIcrSl%NMRD RKZCN~ & SICK (ENLIM DIST) 71 CENSUSMWRIE23WMEN KRKIrK (m)FuNRc&MMWFm B@LcM@n (ED) 1971wucmm EWUXMXC (m) 1971~ICNMI & WWKQUAL (H3) 1971 CENSUSKti-MANuAL (m) 1971 CENSUSSIuJLED MANUAL (m) 1971 CnWJssmI—slaLLa3 MPNuAL (El)) 1971 CINSUSuNsiuLLH3 MANUAL (m) 1971 CmisrJsR3KRTICN IGm3 o-4 (m) 1971 axusFRDKRTIa4 fWNER mIFD (m) 1971 arWus

~~ (533) 1971 ~E5uvATE oNWWLWm TENANrs (m) 1971 mmHuvAn3FuRNKm3’mWas (m) 1971 CmJWsPFRsl?s m Xu4 (m) 1971 mlWsHxsEuus sWuuW9xEMmIlTFs (m) 71 CENsusKxKEWux LAcKIN mml’r (m) 1971 CENSUSKusEaLm LAcaNG UfN EATH (ED) 1971 CaW’usN5i CMaWEAL’lx IMIaANrs (m) 1971 aNsus~ & SICK (ICCAL NnKsulY) 1971 CENsus14mIuEnuxlNKIuuNG (IA) 1971 CENSUSuINrK&MANllFAcIuRE mPLOn@W (LA) 1971 cmsusAGFaaJLTuRE R@mYMWr (LA) 1971 CENSUSPR3FESSICNAL & MMXEMtW (LA) 1971 CENSUSmW4ANuM (IA) 1971 CnJsusSK3Lu33 MANUAL (LA) 1971 CENsussmtI—slaL15J MANUAL (LA) 1971 CWsLlsUNsKEum MANUAL (LA) 1971 CENSUSER3EQKl!Ia’4 AGH3 o-4 (LA) 1971 ~sFR3KRTIa4 GitiER OxuPm (IA) 1971 CENSUS

~ ~ (LA) 1971 C!EIWLsHuvAfI?3 uNEuRNI.sHm TYNANrs (LA) 1971 CErWJsHUVATE FURNZSHH3 TmANrs (LA) 1971 CENSUSPEREms m Kix14 (IA) 1971 C!R4susm.sEH31m sHARn’Gm AMmrnFs (LA) 1971 CENSUSnx~ Ixlax IFEZDE W (LA) 1971 ~SUS

FWslxxm L?cKnK C%iNBMW (L%) 1971 -SNEW UMaWEALm IM41GF.ANTS (IA) 1971 CENsus ,238RxlKcmsTAnls

* ‘lhesevariables are not cm the ESl?CEata ArcluvT2FKI)S4 data set.

(1

-1o-

9. ‘

10.

Edanatim of Cdes used.

meremlrder of this dccment will eeme b imlicateforSadliten ofmdatabaed cnthe1971ce=us:

(a) the _ used cud it’s interpretatlm;

(b) wkther it is I.ncltisdcm the tUX4 data set held ~the EsRc rats Iuchive;

(c) wherecedeshave teen I.abelled:ti

(d) wherea~late, ccxmmsntscm it’s use *hterpretatlcn.

Ycu are strcmgly adm.sd not to seek to incltie any Item ofarea dsta in Y= analysee vatit having rd the cnnpletedzry for thet It6n.

1-

-11-

NN4E Clxm ExmAmTIm

VAROl nlma?~

1 1981 aMrsss (whererespxdsnt rxmdly livedat tim of interae.i)

2 1974aMrsss (arMressat tms of lbthbirtMay.

cnEsRcmta AIcMve: N3

&des labslled

Nc3x data bass Y’m

ArCtuvs m

c

13

12 -

VAR02

55555555

66666666

77777777

88888888

99999999

Pcstcxxles

8 S~CeS

ki3ressatside G.B.

Isleof Men

U)anrksl Islards

?+&resSm.t ~tccded

Address~ tut mt given

Full as n pstade chrectory

1981 ~s nussIrq/1974 ~s sms as1981 ~SSS

cm EsRc Eats Archlvs : N3

Cdes labelled:

&dstatass m

Ardlivt2 m

C5nlEnts

Access to this variable M rest.nctedfor mesas ofcmfldentiality. VARS2prwi.desdetailsof -tie statusfor~ -.

, 2’41

13 -

NPME aom EceLANATIcN

W!R03 OKS CiNSUS DISIRICT

PUNK Mlsslq

cm EsRc Mts Mxi-uve: m

Cdes lahelled:

tax dsts hse m

Mduve m

1. ~ District 1S ulll~ely id-tlf Id ~ CdJhh$3 cdes forPI 974 CZur@, -I 974 District, V&xii ad Census District i.e.v?!R1l,vAR12, VAR08 srd VAR03.

2. Currmtly * valueof tluswiriableM EUliK for all casesmthemdstaba se.

If

14 -

NM4E Crxxs EXPLANATION

VAR04 OFCS EIWMERATI~ DISIY.ICl’

8 qcee Missing

cm m DateArchive: NJ

Cedes labelled:

Nzs data bsse WI

?+rduve m

~~ti~ District iS UIUqUdy de~ by anbim.rq axles for~e-1 974 Ctxll@,-1974 District,Wsxd,CsalSUSDIstild s.dFAuwraticrIDistricti.e.WI 1, VAR12,V?R08,VAR03srd VAR04.

VAR05

1

2345678910111213141516171819202122c 232425262728293031323334353637

ELANK

m7MERATICN DIL71RIC!I’ ACQU4 TYPE

L.A. d = tcmn kuatiMixedhcusbq, yamg familiesRscesltanlrcillnuailq~lowcmt~vatehoual.ngWdern wivate Imx3irq,dun statusl.kdernprivatehcusirq,ymlq falldliesMilibry tases.uixd lwsing, olderareasOlderterraceswith lad unanplcymentMxsd develqllent, oftsslIn Counlxytc%w!sIrlrx3rareas,lW quelitytermceaICW quahty lmairq,declimrq areas.Villagsswith .salr2nm-faml Slllplcym?ntRLualareasmthl.arge farmRuralareasmth own acaunt farmrsPen- km moxe L.A. estates%sll L.A. familykxse.a (Smtkard 6 NE)UrtanL.A. estat=, la unenploynmtTerracedlLAbleee (often MINng area=’)1A estatesmth olderCCWleSICW ~ LA ~tdw (ofteniqh r==)LA estate5with aged (oftenirqh n=)LA estateamth - atm=se(G-)~ta a lxxl-Vlctorienla sta&72Wti-let hcue.hgwith humgrantsmrracsd kusing with hnuigrants.stl&nt areaelaffluentnmar Lcr1511High inaue ~ With few ChildrenW&rll privatehalsimg,high incmls&dim status,titer- plvate llmsingEstablished~ of high statusEstablishedruralCcnnaltervillagesveryhigh statusexeaAreaaof elderlypecple,pmvate tmsmgAreasof elderlypeqle, flatsard lnres‘SPisl’ or ‘mall’ ETXM.lssirKJ.

m EsRc mta Archive Yes: 1981 = M105; 1974 = 7405

Ctx5eslsbelled:

Nax dab base lbArcluve Yes

17

16 -

Omlnerlts

1. MXRN is a classifi=tim of OFtS emmeratim diStXiCtinto 36~ types. The Classificatialis basedm 40residslltialnei

1971censusvariablesmw=ring demgY@ic structure,llmsebld~itial, hcus~, soci~c strwbxe ad residents’S@qlnsnt rllaracte.ristics.

!Ihese36 XIXN reightmrbcd * can in turnk classifiedinto;&tll MmJ?grw.lps:

knrn Gxalcs

A. Mdern familyIrxsmg for mra?alwxksrsB. Fkr3ernfamilyhalshlg,higherincanesc. Olderhcusirqof intarmdiatsstatusD. Very ~r qualltyolderterracedhmsingE. Ruralareas)?. Urbsnlccalautlmaty hmsmgG HcusimJwithIlvstOvercrmdlngH. w ina.meareasWith inrnigxanbI. Studsntad high Stituarim-familyarEe.sJ. l’radibcnalhigh statussurburhaK. MSSS of eldffly~le

Fc9rn!lme

1-45-78-1011 & 1213-1516-2223 & 2425-2728 & 2930-3435 & 36

3. Whsrearespmient waslivi.win an EDsosmllthat OFCSprcmda3 Cdy rest.rl- statisticsto ensureanfldmtiality theyhaveken allwatd an ACKFU4cede of 37 (VAR05. 37) ard no otherdataare glvsm

Is

!

I

-17-

~: 1981= A8106;1974= A7406

●

,

246

-18-

PARLIHNTARY ~STITUNCtES.

t

Ldford C.C.

Md Bedfordshire C.C.

Smth Bedf ordshire C. C.

Luton East B.C.

Luton West B.C.

Abingdon C.C.

Newbury C.C.

Reading South C .C.

Windsor & Maidenhead C. C.

Wokingham C .C.

Reading North B.C.

Aylesbury C,.C.

~aconsf ield C .C.

Buckingham C.C.

Chesham & Amersham C .C.

Wycombe C.C.

Eton & Slough B.C.

Ca%bri~shire C.,C.4 Isle of Ely C,.C .

Cambri* B.C.

City of Chester C.C.

.Crewe C.C. ~

Knutsford C .C.

Macclesf ield C .C.

Nantwich C .C.

Northwich C.C.

Rmcorn C.C.

Stalybridga & Hyde C.C.

Wirral C.C.

Altrincham & Sale B.C.

1

2

3

4

5

6

7

8

9

10

11

12

13

“14

“15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

Belvington & Ellesmere Port B.C. 31

Birkenhead B.C. - ‘3>

Cheadle B.C. 33

Hazelgrove B. C’. 34

Stockport North B.C. 35

Stockport South B~C. 36

WallaseyB.C.

-tn C.C.

Falrnouth & Camborne C.C

North Cornwall CC

St. lve8 cc.

Truro Cc.

Panrith & The Border C.C.

Whitehaven C.C.

Workington C.G

Carlisle B.C.

Belper C.C.

Bolsover C.C.

High Peak C.C.

IIkeston C.C.

North East Derbyshire C.C.

South East Derbyshire C.C. ‘

Wast Derbyshire C.C.

Chestefllelcl B.C.

Derby North B.C.

Derby South B.C.

Hcmitm CC

North Devoa C.C~

Tiverton C.C.

Totnes Cc.

westDevon C.c

Exeter B.C.

Plymouth Devonport B.C.

Plymouth Drake B.C.

PlymmJth Sutton B.C.

Torbay B.C.

North Dorset C.C-

South Doraat C.C.

We8t Dorset C.C.

Poole B.C.

Bishop Auckland C.C.

Chester Ie Street C.C

37

38

39

40

41

42

43

44

45

46

47

48

49

50

51

52

53

54

55

%

57

58

59

60

61

62

63

64

65

66

67

68

69

70

71

72

-19-

Canett cc

Durham cc

EbingtmCC

t-bu~on10Spriq C,C -

North Weet Durham C.C.

Blaydon &C.

Darlingti B,C

Gateshead East B.C.

Gateshead West B.C.

Hartlepool B.C.

Jarrow B.C.

South Sheilda

Sunderland North B.C.

SundeAand South B.C.

Braintree C.C.

Brentmod & Ognar C.C.

.Chelmford C.C.

I

I

,

\“

I

i

Colchester C.C.

Epping Forest C.C.

Harl* C.G

Harwich CC.

Maldon C.G

Saffron Walden C.C.

South East E-x

Basildon B.C.

Southend East B.C.

Smthend West B.C.

Thurrock B.C.

Cirenester & Tewkesbury C.C.

Kings- C.C.

South GloucesterShire

Stroud C.C.

West GloucesteMire C.G

Bri6to] North East B.C.

Bristol North West B.C.

Bristol South B.C.

Bristol South East B.C.

Bristol West B.C.

73

74

75

76

77

70

79

80

81

82

83

84

85

86

97

88

89

90

91

92

93

94

95

96

97

98

99

100

101

102

103

104

105

106

107

108

109

110

Chelteh B.C.

Gloucester B.C.

BarklqB.C.

Barking Dagenham B.C.

Bamet ~pping Barnet B.C.

-t Fitiey B.C.

Bernet Handon *th B*C.

Bamet Hendon South B.C.

Bexley Bexley Heath B.C.

Bexley Erith & Crayford B.C.

Bexley Sidcup B.C.

Brent East B.C.

Brent East B.C.

Brent North B.C.

Brent South B.C.

Brcxnley Beckenham B.C.

Bromley Chislehurst B.C.

Bromley ~lngton B.C.

Bromley Ravensbourne B.C.

Camden ~tead 8.G

Camden Holbom & St. PawreasSouth B.C.

Camden St. Pancras North B.C.

Croydon Cantral B.C.

Croydon-North East B.C.

Croydon North West B.C.

Croydon SWth B.C.

Ealing Acton B.C.

Ealing North B.C.

Ealing Southall B.C.

Enfield Edmonton B.C.

Enfield North B.C.

Enfield Southgate B.C.

Greenwich B.C.

Greanwich Woolwich East B.C.

Greenwich WooIwich West B.C.

Hackney Central B.C.

111

112

113

114

115

116

117

118

119

120

121

121

122

123

124

125

126

“ 127

128

129

130

131

132

133

134

135

136

137

138

139

140

141

142

143

144

145

Hackney North & Stale NewingtonB.C. 146

● z48

-20-

PARLIA~TARY CONSTITUWIES (Continued)

Hanay SaJth & Shorditch B.C.

Wmmersmith Fulham B.C.

Hammersmith North B.C. -

Hari@ey Hornsey B.C.

Hari~y Tottenham B.C.

Haringey Wood Green B.C.

Harrow ~trai B.C.

Harw East B.C.

Harrow West B.C.

Havering tiornchurch B.C.

Havering Romford B.C.

Havering Upminster B.C.

HIJlingdon Hayes & Hariington B.C

Hillingdm Ruisiip - Northwood B.C.

Hillingdon Uxbridge B.C.

147

148

149

150

151

152

153

154

155

1S6

157

158

1s9

160

161

i-bunsiow Brentford & Isieworth B.C 162

Hounslow Feltham & i-ieston ~C.

lsiington Central B.C.

lsli@on North

Ialington “South& Finsbury B.C.

Ken8ingtcm & CheIsea Chelsea Rc.

K-i~ton & -lsea KemingtonB*C.

Kingstm upon Thames B.C. -

Kingston upon Thamea Surbitm

Lambeth Central B.C.

Lambeth Norwood B.C.

Lambeth Streatham B.C.

Lambeth Vauxhall B.C.

Lewisham Deptford B.C.

Lewisham East 6.C.

Lewisham West B.C.

Merto@ ‘Mltcham & Morden B.C..

Merton Wimbled~ B.C.

Newham, North-West B.C.

Newham, North-West B.C.

Newham, Swth B.C.

Redbridge, [iford North B.C.

Re@ridga Ilford South B.C. ,.

163

164

165

166

167

168

169

170

171

172

173

174

175

176

177

178

179

180

181

182

183

184

.

Redbridge Wanstead & WoodfordB.C.

Richmond upon Thames “Richmond B.C

Richmond upon ThamesTwickenham B.C.

Southwark Bermmdsey B.C

Southwark Duiwich B.C.

Southwark Peckham B.C.

Sutton & Cheam B.C.

Sutton Carshalton B.C.

Tower Hamlets Bethnal Green& Bow

Tower Hamlets Stepney & PoplarB.C.

Waltham Forest ~lngford B.G

Waltham Forest Leyton B.G

Waltham Forest Walthamstow B.C.

Wandsworth Battersea North B.C. ”

Wadsworth Batterse,a South B.C.

Wandsworth Putnay B.C.

Wandsworth Tooting

The City of Lx & WestminsterSouth B.C=

City of Westminster PaddingtM

City of Wes~insterSt. Maryleboqe “

Aldarshot C.C=

Basingstoke CC.

Eastleigh C.C.

New Forest C.G

Petersf ie]d C.C.

Winchester C.C.

Boumemouth East B.C.

Bournemouth West B.C.

~ristch~h & Lymingh B.C

Fareham B.C.

Goaport B.C.

Havant & Waterloo B.G

Portsmouth North B.C.

185

186

187

188

189

190

191

192

193

194

195

196

197

198

199

200

201

202

203-+.

204

205

206

207

208

209

210

211

212

213

214

215

216

217

Portsmouth South B.C~ 249 Z1O

-21-

w~ Te,t B.C.

Hereford cc.

Le’minoter C.C

Eaot Hertforchhire C.C.

Hemel ~tead C.G

t-brtford & Steve-

Wtchm CC.

SL -cc

South Hertfo~ireC.C

SouthWmt Hertfordahire

Welwyn & Hatfield

Watford C.C.

Huntingdtire cc.

‘Petetiorough B.C.

Aehford C.C.

Cantetiy C.C

Dartford cc.

Dover and Deal C.C.

Favetiam C.C

Foiktitone & Hythe C.C

Grave8end cc.

Wem cc

~yal Ttii~ Wells C.C

seven- C.C

Ttiri~ & Mall@ C.C

Gillingk B.C.

Roc&ter & Chatham B.C.

Thanet Eaet B.C.

Thanet W-t B.C.

Chorley C.C.

Clitheroe C.G

DerWn C.C

HeyWood & Royton C.C

Huyton cc.

Lancaster C.C

219

220

221

222

223

224

225

226

227

228

229

230

231

232

233

234

235

236

237

238

239

240

241

242

243

244

245

246

247

248

249

2s0

251

252

2S3

254

.

Morecarnbe & Lomdale Cc

Aton cc.

North Fylde CC

-kirk C.C.

SaJth Fylde GC.

Weet Haughton C.C.

Wi*es C.C,

Accrington SC.

A8ht0mtir-LyfiO ~~ .

Sarrow-itiumem B.C.

Blackbum B.C.

Blackpool North B.C.

Blackpool Scuth RC.

Bolton East B.C.

Bolton West B.C

Bootle B.C.

Burnley B*C

Bury & Radcliffe B.C.

Crosby B.C

Eccles B.C.

Famworth B.C.

Ince B.C.

Lei~ B.C

Liverpooi E* Hill B.G

Liverpool -ton B.G

Liverpml Kirkdale B.C.

Liverpool Scotland Exchange B.C

Liverpool Toxteth B.C

LiwrpmI Walton B.C.

Liverpool Wevertree B.G

Liverpool West Derby B.G

Manchester Ardwick B.C.

Manchester Blackley B.C

Manchester Central B.C.

M~cheater Gorton B.G

Manchester Moeeaide B.C.

*

255

2%

257

258

259

260

261

262

263

264

265

266

267

268

269

270

271

272

273

274

275

276

277

278

279

280

281

202

283

284

285

286

287

288

289

290

-22-

.

PARLIA~ARY CONSTIT~IES (Contimd)#

M~ter ~aw B.C.

~ter WithingtonB.C9t

Ma-ter Wytimhawe B.C.

Mddleton & ~twtch B.C.

Nelaofl & ~ne f39c*

adham Ea8t B.C.

Oldham West B.C.

Preston North B.C.

Pwton South B.C.

RochdaIe B.C.

Roaenda$e B.C.

St. Helens B.C.

Salford East B.C.

Salford West B.C.

SouthPort B.C.

Stretford B.C.

Warrington B.C.

Wi~n B.C.

Bl*y cc.

Boaworth C.C

Harboagh C.C.

Loughborough C.C.

Melton C.C

Lei~ter East B.C.

Leicmt?r South B.C.

Leiceater West B.C.

Holland with Boston C.C.

Grantiam C.C.

Rutland & Stamford C.C.

Brigg & Scuntho-~e C.C.

Gaimborough C.C.

liomc~tJe C.C.

Ltith C;C.

Grimaby Cc.

Lincoln B.C.

North NorfoJk C.C.

291

292

293

294

295

296

297

298

299

300

301

302

303

304

305

306

307

308

309

310

311

312

313

314

315

316

317

318

319

320

321

322

323

324

325

326

North Wmt Norfolk C.G

*ti Norfdk”cc

South West Norfolk C.C.

Yarmouth cc

Norwich ** B*C.

Northwlch South B.C.

Daventry C.C.

Kettering C,C.

Wellirtgborough C.G

Northampton North B.C.

Northampton South B.C

Berwick-~-Tweed B.C “

Hexham CC.

Morpeth C.C

Blyth B.C.

Newcastle-upti-Tyne Central B.~

Newcastlqm-lyne East B.C.

Newcaatl~Tyne ~rth B.G

Newcaatl~Tyne We*t B.C.

Tynemouk B.C.

Wallaend B.G

A*field C.C.

Baaeetlaw C.C.

Bee8ton CC

Carlton C.C.

Mansfield C.C.

Newark C.C.

Ruahcliffe CC,., .’

Not~~am Eaat B.C.

Notti~am North B.C.

Nottingham Weat B.C.

‘“’*&rj &c*’ ‘-’

Henley C.C.

Mid Oxen CC

Oxford B.C.

Ludlow C.c

327

328

329

330

331

332

333

334

335

336

337

338

3s9

340

341

342

343

344

345

346

347

348

349

350

351

352

353

354

355

356

357

358

359

360

361

362

● 251

-23-,. ”,.......-, ..

PARL~ARY ~TITWIES (Continued)

a~try cc.

sJww~ cc.

T* Wtiin CC

8ridgew8tor cc .North -reet Cc.

Teuntm CC

Wells CC

weet~r-*re C9c

Yeovil C.d

Bath B.C.

Burton CC.

Cannock C.C.

Leek C.C.

Lichfie)d & Tismworti C.C

South West StaffordShire

Stafford & Stone C.C.

Aldridge - Bro~hiIls B.C.

Dudley East B.C. ‘.

Dudley West B.C.

Newcastle~der-Lyme B.C.

Stok~--Trent Centra B.C.

St@e-on-Tmnt North ~~~

Stoke-~Trent Soufi B*C.

Walsall North B.C.

Walsall South B.C.

West Bromwich East B.C.

W~t Bromwich West B.C.

Wolve~ampton Norti ,East B.C. “

Wolvetiampton South East B.C.

Wolverhampton South West B.C.

Bury St. Edmunds C.C;

Eye C.C.

Lowestoft C.C.

su~ury & W-alga, C.C-.. ...

lpswich B.C.

Dorking C.C.

363

365

366

367

368

369

370

371

372

373

374

375

376

377

378

379

380

381

382

383 ,

384

385

386

387

388

389

390

391

392

393

394

395

396

397

396

Eaet -y cc.

F~ C.C

Guildford C.C.

North West Surrey C.C.

Woking cc

Chertsey & Walton B.C.

Epsom & EwoI1 B.C.

Eshar B.&

Reigate 8.C

Speethorne B.C.

Eastboume C.C.

East Grinstead C.C.

Lewes C.C.

Mid -X C.C

Rye C.C.

Brighton Kemptown B.C.

Brighton Pavilion B.C.

Hastings B.C.

Hove B.C.

Arundel C.C

Chichester CC.

Horsham & Crawley C.C.

Shoraham CC

Worthing B.C.

Meriden C.C

Rugby C.C

Stratford-~Avon GC.

Warwick & Leamingtm C.C.

Bimiqham Edgbastm B.C.

Birmingham Erdingtm ,~C.

Birmi@am Hall G@en -d

Birmingham ~dswqrk B.C.

Birminghm” L~,wtid B.’C.

Birmi@am~~fi81d B.C.

Bi*~~rn Pdifi “~r’B.C.

Birmingham Selly@: B.C.

399

401

402

403

404

405

406.

407

408

409

410

411

412

413

414

415

416

“ 417

418

419

420

421

422

423

424

425

426

427

428

429

430

431

432’

433

434

-24- .<:

i

J

●

PARLIAHARY ~TITKNCIES (Contiti)

a

6irm@ham Sd Heath 8.C

Birmingham ~ti~ 6.G

BIrmingti Stechford B.C.

Birmingham Yardley B.C.

~ntry Wth E* B.C.

“Coventry North West B.C.

Coventry South East B.C.

Coventry South West B.C.

Meaton B.C.

SoIihull B.C.

Sutton Coldfield B.C.

Weetmoreland C.C

Isle of Wight C.C.

Chippenham C.C.

Devizea C.C.

Salisbury C.C.

W~tiry C.C.

s’d-n& B.C.

Bromsgorve & Rtiitch C.C.

Kiddermirvster C.C.

South Wome8teMire C.C.

-leeowen & Sttirbridge B.C..,Warley “E=t B.C.

Warley West B.C.

Womester B.C.

Brid}ington C.C.

Halter~rice C.C.

&den C.C.

Kiqston upon-Hull Central B.C.

Ki~ston upon Hull East B.C.

Ki~\on ~ Hull W-t B.C.

C16v6[and & Whitly C.C.

Rl,tid (Yo&8) C.c

Scarboragh

TN~k & Malton C.C.

Tmide Middleeborwgh B.C.

435

436

437

438

439

440

441

442

443

444

445

446

447

448

449

450

451

452

453

454

455

456

457

458

459

460

46~

462

463

THi& Redcar B.C

T-de Stockton B.C

Teeside ThOtiy 8.C

~ A9h C*C*

Colne Vaey Cc.

Deame Valley C.C

Don Valley C.G

Goole CC

Harrogate CC

HemsWorth C.C

Normanton CC*

Penistone C.C.

Ripen CC

Rother VdJey C.G

Shipley C.C

Skipton C.C.

Sowedy C.C

Barnsley B.C.

Bat)ey & Morley B.C.

Bradford North B.C

Bradford hth B.C

Bradford West B.C.

Brie & Spenborough B.C.

Dewtiry B.C..

Doncaster B.C.

Halifax B.C.

Huddersfield East B.C=

Hudde#ild W-t B.C.

Keighley B.C.

w Lee& E-t B.C.

465 L** &ti,.E*t B*C..,?::.,-,-.:’466 Ltids tith ..WestB.C.

467 Lee@ South B.C.

468 Leeds South East B.C.

469 Lee& WUt ~.C.

470 Pontefract & Ca8tleford B.C.

47

47

47

47

47

47

47

47

47

48

48

48

“4

48

48.

48

48

48

48

49

49

49

49

49

4

49

4

4

4

5

5

5

5

5

5. .

,.

‘

-25-

PARLIAKNTARY C~STITKKKS (Conti-d)

Pudsey Rc.,.Rotherham B.C.

Stiffield Attemliffe B.C. -

Sheffield Bri@aide B.C. - “

Sheffield Hallam B.C.

Sheffield Heeley B.C.

Sheffield ~ili~orough B.C.

Sheffield Park B.C.

Wakefield B.C.

York B.C.

Anglesey C.C

Brecon & Radnor C.C.

Caemarvon CC.

Conway C.C.

Cardigan C.C.

Carmarthen C.C.

LJanelli C.C.

Denbigh C.C.

Wrexham C.C.

.Eas~Flint C.C.

West Flint C.C.

Aberavon C.C.

Bar~”C.C.

Caerphilly C.C.

Gwer C.C.

Neath C.C.

Ogrnore C.C.

Pontypridd C.G

Aberdare B.C.

Cardiff North B.C.

Cardiff North West B.C.

Cardiff South West B.C.

Cardiff West B.C.

Merthyr Tydfil B.C.

Rhondda B.C.

Swansea East B.C.

507

508

509

510

511

512

513

514

515

516

517

518

519

520

521

522

523

524

525

526

527

528

529

530

531

532

533

534

535

536

537

538

539

540

541

542

kwansea West B.C.

Merioneth C.C.

Abertielery C.C.

Bedweelty C.C.

Ebbw Vale C.C.

Monrnouth C.C.

pontypool Cc.

Newport B.C.

Montgomery C.C.

Pembroke C.C.

East Aberdenshire CC.

West Aberdenshire C.C.

North Angus & Mearns C.C.

South Angus C.C.

Argyll C.C.

Ayr C.C.

Bute & North Ayrshire C.C.

Central Ayrshire C.C.

Kilmarnock C.C.

South Ayrshire C.C.

Banff C.C.

Berwick & East Lothian C.C.

CaithneSs & Sutherland C.C.

Dumfries C.C.

Central Dmbart@ire C.C.

East Dunbart-hire C.C.

West Dunbartmhire C.C.

Central Fife C.C.

Dunfermline C.C.

East Fife C.C.

Kirkcaldy C.C.

Inverness C.C.

Ross & Cromarty C.C.

Western Isles C.C.

Galloway C.C.

Bothwell C.C.

543

w

545

546

547

548

549

550

551

552

553

554

555

556

557

550

559

. %0

561

562

563

564

56

56

56

56

56

57

57

57

57

57

57

5

5

5

-26-

.

PARLIA~NTARY CONSTITUENCIES (Continwd)# .

East Kilbride C.C.

Hamilton C.C.

Lanak C.C.

Norti Lanarkshire C.C.

Rutherglen C.C.

Midlothian C.C.

Moray & Nairn C.C.

Orkney & Zetland C.C.

Kinross & West Pertshire C.C.

Perth & East Perthshire C.C.

East Renfrewshire C.C.

West Renfrewshire C.C.

Roxburgh, Selkirk & Peebles C.C.

Clackmanna & East Stirli~tilre

West Stirlingshire C.C.

West Lothian C.C.

A@rdeen North

Aberdeen South B.C.

Dundee East B.C.

Oundee West B.C.

Coatbridge & Airdrie B.C.

Motherwell & Wishaw B.C.

579

580

581

582

583

584

585

586

587

588

589

590

591

592

593

594

595

596

597

598

599

600

Glasgow, Cathcart B.C.

Glasgow, Central B.C.

Glasgow, Craigtm B.C.

Glasgow, Garscaddan B.C.

Glasgow, Govan B.C.

Glasgow, Hillhead B.C.

Glasgow, Kllvingrove B.C.

Glasgow, Mary Hill B.C.

Glasgow, Pollok B.C.

Glasgow, Provan B.C.

Glasgow, Queen’s Park B.C.

Glasgow, Shettleston B.C.

Glasgow, Springbum B.C.

Edinburgh Central B.C.

Edinburgh East B.C. ●

Edinburgh Leith B.C.

Edinburgh North B.C.

Edinburgh Pmtlands B.C

Edinburgh Soufi B.C.

Edinbur@ West

Greenock & Port Glasgow B.C.

Paisley B.C.

601

602

603

604

605

606

607

608

609

610

611

612

“413

614

615

616

617

61a

619

620

621

622

Stirling, Falkirk, Grangemouth B.C. 623

-27-

VAR07

01020304050607080910111213141516171819 ‘

20212223

8.24252627282930

m = mta tive: =: 1981 = A8107; 1974 = A7407

Mes I.ahellad

-data- m

mve

-28-

.

1 257

-29-

.

1-69

Miss@ .

Mes Iabelled:

-30-

.

VAR09 m 1974 ~

100-165 see M-

Miss*

m m mti Mm: m: 1981=A8109; 1974=A7409

- Mild:

m

-31-

VAR09 m1974~ .

100101102103104105106107108109110111112113114115116117118119120121122123124t 25126127128129130131132133134135

136137138139140141142143144145

146147148149150151152153

154155156157158159160161162163164

~ 260

-32-

VARl o K)ST 1974 DI=~

1-33 * Ha

mssing

m= Datative m : 1981 =A811O; 1974 =A741O

- labelled:

~ ●✎✎

-t-l 974post-1 974

District iS ti~y

-33-

REORGANISED DISTRICTSo

...

.: .. .

N,B.- &mater L- wao not ●ffected by the raorganiaation and m new &odea have

‘ not bean allocatd

GREATER M~STER

Bolton

Bury

Manchester

Oldham

Rochdale

Salford

Stockport

Tame8ide

Traf ford

Wigan

WRSEYSIDE

Knowsley

Ljverp@l

St. Helem

“Sefton

Wirral

SOUTH YORKSHIRE

Batiey

Doncaster

Rotherham

Sheffield

TYW & WEAR

Gateshead

Newcastle upon Tyne

North Tyneaide

South Tyneside

Sunderland

101

1

2

3

4

5

6

7

8

9

10

102

1

2

3

4

5

103

1

2

3

4

104

1

2

3

4

5

WEST MIDLANDS

Birmi-

Coventry -

Dudley

Sandwell

Solihull

Wa.ldl

Wolverhampton

WEST Y~KSHI=

Bradford

Calderdale

Kirkleea

Leeds

Wakefield

-AVON

Bath

Bristol

Kingawood

Northavon

Wanadyke

Woodspring

BEffORDSHIRE

Bedford

Luton

M~d Bedfordahire

South Bedfordshire

105

1

2.

3

4

5

6

7

106 .

1*.

?

4

5

107

1

2

3

4

5

6

108

1

2

3

4

1 262

-34-

REORGANISED DISTRICTS .

~RKSHIRE

Biacknell

Newbury

Reading

Slough

Win~r & Mai~ad

Wokingham

BUCKINGHAMSHIRE

Aylesbury Vale

Beaconsfield

Chiltem

Milton Keynes

Wycombe

CAMBRIDGESHIRE

Cambridge

East Cambridgeshire8.

Fenland

Huntingdon

Peterborou@

South Cambridgeshire.

CI-ESHIRE

Chester

Congleton

Crewe & Nantwich

Ellesmere Port

Hal ton

Macclesfield

Vale Royal

Warrington

109

1

2

3

4

5

6

110

1

2

3

4

5

111

1

2

3

4

5

6

112

1

2

3

4

5

6

7

8

CLEVELH

Hartl~l

L-urgh “

Middlaaborough

S~ on Tees

CORNWALL

Caradon

Carrick

Kerrier

North Cornwall

Penwith

Restormel

CUMBRIA

Allerdale

Barrow in Furness

Carlisle

Copeland

Eden

SouthLakelmd

DERBYSHIRE

Amber Valley

6olsover

Chesterfield

Derby

Erewash

High Peak

North East Derbyshire

South Derbyshire

West Derbyshire

113

1

2

3

4

114

1

2

3

4

5

6

115

1

‘2

3

4

5

6

116

1

2

3

4

5

6

7

0

9

-35-

REORGAMSED DISTRICTS

Eaet Devon

‘ ~xeter

Mrth Devon

P1ymouth

South Hame

Teignbri~

Tiverton

Torbay

Torridge

Weet Devon

DORSET

Bournemouth

Christchurch

North Dorset

Poole

Purbeck

West Dorset

Weymouth & Portland

Wimborne

~HAM

Chester Ie Street

Derlington

Derwentside

Durham

Easington

Sedgefield

Teesdale

Wear Valley

..

117

1

2

3

4

5

6

7

8

9

10

118

1

2

3

4

5

6

7

8

119

1

2

3

4

5

6

7

8

Bri@ton

E-tbourne

Ha8ti~

Hove

Lawea

Rother

Wealden

ESSEX

Baeildon “

Braintree

Brentwood .

Ca8tlepoint

Chelmsford

Colchester

Ewing Forest

Harlow

Meldon

Rochford

Southend on Sea

Tendriq

Thurrmk

Uttleaford

GL~STERSHIRE

Cheltenham

Cotswold

Forest of Dean

Gloucester

Stroud

121

1“

2

3

4

5’

6

7

“8

9

10

11

12

13

14

122

1

2

3

4

5

Tewkesbury 6

-36-

REORGANISED DiSTRICTS (Continued)

HAMPSHIRE 123

,Basingato&e 1

East Hampshire. 2

Eastleigh

Fareham

Gosport

Hart

Havant

New Forest

Portsmouth

Rushmoor

Southampton

Test Valley

Winchester

HEREFORD AND

6romsgrove

Hereford

Leomin8ter

Mhvem Hills

Redditch

3

4

5

6

7

8

9

10

11

12

13

WORCESTER 124

1

2

3

4

5

South Herefordshire

Worcester .

Wychavon

Wyre Forest

HERTFORDSHIRE

Brouboume

Dacorum

East Hertfordshire

Hertsmere .

North Hertfordshire

St. Albans

Stevenage

Three. ~ivers

Watford

Welwyn Hatfield

6

7

8

9

125

1

2

3

4

5

6

7

8

9

10

~Rsm

Beverley

B~th Ferry

clee~s

Glanford

Grimsby

Holderness

Kingston won Hull

North Welds

Scunthorpe

lSLE OF WIGHT

Medina

South Wight

KENT

AMford

Canterbury

Dartford

Dover

Gillingham

Gravesham

Maidstm

Medway

Sevenoaks

Shepway

Swale

Thanet

Tonbridge and Mailing

Tunbridge Wells

126

1

2

3

4

5

6

7“

8

9

127

1

2

128

1

f

3

4

5“

6

7

a

9

10

11

12

12

14

-37-

REORGANSEO DISTRICTS (Continued)

~AsHIRE

Blackbm

, Blackpool

Bumley

Chorley

Fylde

Hy*rn

Lancaeter

Pendle

Preston

Ribble Valley

Roasendale

South Ribble

West Lancashire

w yre

LEICESTERSHIRE

B1aby

Charnwood

~arborough

Hinckley and Bosworth

Leicester

Melton

North West Leicestershire

Oadby and Wigston

Rutland

LINCOLNSHIRE

Boston

East Lindsey

Lincoln

North Kesteven

South Holland

South Kesteven

West Lindsey

129

1

2

“3

4

5

6

7

0

9

10

11

12

13

14

130

1

2

3

4

5

6

7

8

9

131

1

2

3

4

5

6

7

mm

Breckld , ‘

Broadland

- Great Yarmouth

North Norfolk

Norwich

South Norfolk

West Norfolk●

NORTHAMPTONSWRE

Corby

Daventry

East Northamptonshire

Kettering

Northampton

South NorthamptonShire

Wellingborough

NORTHUMBERLAND

Alnwick

Berwick upon Tweed

Blyth Valley

Castle Morpeth

Tynedale

Wansbeck

NORTH YORKSHIRE

Craven

Hambleton

Harrogate

Richmondshire

Ryedale

Scarborough

Selby

York

13

1

2

3

4

5

6

7

13

1

2

3

4

5

6

7

,13

1

2

3

4

5

6

13

1

2

3

4

5

6

7

8

~ 266

-38-

REOR@NsED DISTRICTS (Cati~ed) -

~TTINGHA--

Ashfield

Ba8set/law

Broxtowe

Gedling

Mansfield

Newark

Nottingham

Rushclif fe

OXFORDSJ-URE

Cherwell

Oxford

South Oxfordshire

Vale of the White

West OxfordShire

SHROPSHIREcBri@orth

North Shrqshire

Oswestry

Shrewsbury

South Shropshire

The Wrekin

Horse

136

1

2

3

4

5

6

7

8

137

1

2

3

4

5

138

1

2

3

4

5

6

SOMERSET

Mendip

Sedgemoor

Tamton Deane

Wa8t Somerset

Yeovu

STAFFORDSMRE

Cannock Chase

East StaffordShire

Lichfield

Newcastle mder Lyme

South StaffordShire

139

1

“2

3

4

5

140

1

2

3

4

5

Stafford 6

Staf fordshire Moorlands 7

Stoke on Trent

Tamworth

SWFOLK

Babergh

Forest Heath

@swich

Mid Suffolk

St. Edmundsbury

Suffolk Coastal

Waveney

8

‘9

141

1

2

3

4

5

6

7

-39-

RE~GANISED DISTRICTS (Contiwed)

SURREY

Elmbridge

‘ Ep~ & Ewoll

~ Guildford

Mole Valley

Reigate & Banntead

Rmymede

Spetlthome

Surrey Heath

Tandridge

Waverley

Woking

142

1

2

3

4

5

6

7

0

9

10

11

“WEST -x ..Ah

AM

Chiche8ter

Crawley

Worthing .

WILTSHIRE

Kennet

North Wilt8hire

Salitiy

WARWICKSHIK 143 Thamesdown

North Warwickshire 1 W-t Wiltshire

Nuneaton 2

Rugby 3

Stratford on Avon 4

Warwick 5

*,

144

1

2

3

4“

5

6

7

145

1

2

3

4

5

.

—

-40-

,..

REORGANISED DISTRICTS (Cmtiwed) .

C~WYD 146

Alyn and Deeside .

Colwyn

Delyn

Glyndwr

Rhuddlan

Wrexham Maelor

DYFED

Carmarthen

Ceredigion

Dinefwr

Llanelli

Preseli

South PembrOke~ire

I

GWENT

Blaenau Gwent

‘lslwyn

Monmouth.

Newport

Torf aen

GWYNEDO

Aberconwy

Arfon

Dwyfor

Meirionnydd

Ynys Mon-isle of Anglesey

1

2

3

4

5

6

147

1

2

3

4

5

6

148

1

2

3

4

5

149

1

2

3

4

5

MID GLAMOR-N

c- Valley

Merthyr Tydfil

Ogwr

Rh_

Rhyrnney Valley

Taff - EIY

powYs

Brecktik

Montgomery

Radnor

SOUTH GLAMORGAN

Cardlff

Vale of Glamorgan

WEST GLAMORGAN

Afan

Lliw Valley

Neath

Swansea

150

1

2

3

4

5

6

151

1

2

3

152

1

2●

153

1

2

3

4

. ..

-41-

REORGANISED DISTRICTS (Conti-d)

I-tlmm REGIm U4 BORDERS REGIU’J 160

U- District

Sutherland District

- d Cromarty District

, *ye and Lochalti District

Lochaber District .

Invemam District

Badanoch and Strat~eyDistrict

tiim District

GRAW~N REGION

Moray Region

Banff and Buchan District

Gordon District

City of Aberdeen District

Kincardine and DeesidaDistrict

TA.YSIDE REGION

District

Angw District

City of Dundee

Perth and Kinross District

FIF; REGI~

Klrkcaldy District

North East Fife Dlatrict

Ounfermline District

LOT-N REGION

West Lothian District

City of Edinburgh District

Midlothian District

East LotMan District

CENTRAL REG1ON

Clackmannan District

Stirling District

Falkirk District

1“

2

3

4

5

6

7

8

155

1

2

3

4

5

156

1

2

3

157

J

2

3

158

1

2

3

4

159

1

2

3

Tweeddale DIttrict

“Ettrick and Ltirdale.District

Roxb@ District

BerwiMm District

STRATHCLY~ REGI~

Argyll and Ate District

Dumbartm District

City of Glaagow District

Clytifi District .

Bear8den and MilngavieOlstrict

StrathkeIvin District

Cumbermuld District

Monklands District

Motherwell D~strict

Wmilton District

East Kilbride D)strict

Eastwood District

Lanark District

Renfrew District

Inverclyde District

Cunningham District

1

2

3

4

161

1

2

3

4

5

6

7

8

9

10

11

12

‘13

Kilmarnmk and LoudounDistrict 17

Kyle nad Carrick District 18

Cumnock and Doon ValleyDistrict 19

OUMFRIES AND GALLOWAYREGION

Wigtown District

Stewartry District

Nithadale District

Annandale and E*daleDistrict

ORK=Y ISLANDS AREA

S=TLA~ ISLANDS AREA

WESTERN ISLES ISLANDSAREA

162

1

2

3

4

163

164

165

-42-

1-96 see belw

Missing

m = Data -Chive: - : 1981 =A8111; 1974 =A7411

Mes labslld:

,..,

~ 271

-43-

1’

234

:789

10111213141516171819202122232425262728293031323334353637383940414243444546

. 4748

4950515253545556575859

-44-

.

VARl2

1-1929 see belw

Missing

- : 1981 = A8112; 1974 =A7412

273

-F,4

.

i-w-3Q

LOCAL AUTHORITY CODES

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1W3lm4I W510941W71we129sma Umt LO*IUIIml *st LOmlm (ml Cltv of EdI*+ (n)IW?1903 wllhln Llvln9sTwI m1s04 OUtilth Llvln99fuM m190S Mlthln Llvlwsitm W19M Oufil WI LIVIWSTUI Wls071ilmln Llvln@tM m190s ouwl!tI Llvlnw- m

ZCTLAM 96

I

mu

I

1915191619171918191919201921W22192>19241925192s192719281929

. —--—— . .-.

-w-

VARl3

1

2

3

4

5

6

7

8

9

10

11

12

c 13

14

15

-65-

Alldataarer~ as Per-tages of twodec-1places.

Missing

on EsRc mta Artive m: 1981 = A8114 - A8151; 1974 = A7414 -A7451

~ts

W14 tovAR22datafmu a 10large sampling

-66-

WI 4VARl5ml 6VnRl7ml 8VARl9VAR20WIVAR22VAR23-4VAR25vAR26VAR27vAR28W9VAR30#R31VAR32m3VAR34VAR35~6W7W&=9m40m41w42W43VAR44m45VAR46VAR47m48VAR49=0ml

.

-67-

On= mta Hve: m : 1981 = A8152; 1974 = A7452.

- =led:

m dab bass

*chive

296

ANNEX

MNATIONAL CHILDREN’S BUREAU8 Wakley Street London ECIV 7QE

I

Telephone 012789441

NCC)S4 - The distribution of CACI ACORNcodes for the interview survey

-

1. The distribution of ACORN codes for the NCOS 4 interview sampleis given below. The tables report the distributions of both ACO~ uroupand ACORNtype for Great Britain and separately for England, Wales andScotland. For c~arison purposes, overall figures provided byCACIfor the Great Britain population in 1978are also given.

2. ACW is a classification of OPCSenLuneration districts into 36residential neighborhood types. The classification is based on 40variables, taken frm the 1971 Census, covering d-graphic structure$household composition, housing, socio-econmic structure and etnplo~nt.These 36 ACORN neiahbourhood tvDes can in turn be classified “into11 ACORN gr&ps.the tables belowAnnex.

#.

~th ACORNg;~ups and ACORNand a sunmnarydescription of

types are Identified in .each is included in an

A

6

c

o

EFcHI3K

ncos4ae~ ts 1981

Wales *tlandM.—

12.0 15.3 ir.s9.7 6.2 2.8

10.8 13.5 2.4

10.2 19.1 0.2

b.o 7.0 6.6

20.2 18.1 M.9

0.7 . 28.5

5.5 0.5 0.2

5.3 3.6 4.4

16.1 10.1 8. I

b.s *.6 2.2

C.B.

12.28.S

10.19.7b.b

21.2

3.4

4.7

5.1

15.0

4.3

10.07.8

9.6

8.4

5.8

20.8

3.2

4.0

3.5

19.o

5.3

*lasslf id 1.1 2.0 1.1 1.1 1.8

●The category “WASSIFIED” qrlses: ~lppIng e.d. ’s; ●reas containing less th~SO people; s~lal ●.d.’s, ●.g. large hotels, hospitals, pri-s, un~verslty hallsof residence ●tc. v 298

.

Tti 2., ~lm Olstrlmtlon* oont)for~ * *le

A

A

A

A

eB

Bccco0E

E

E

f

F

F

F

F

F

F

c

c

H

;

I

I

3

3

3

J

3

K

K

1.

2.3.c.s.6.7.8.9.10.11.12.13.lb.M*Ii.17.

la ●

19.

20.

21.

22.

23.2b.

2S.Victorlen1- ste- (tir London)

26. Wltl-let houo2ng with Imlgr-ta27.

28.

29.

31.32.

33.34.

35.

36.

Terrooed housing w~ti *l*enta

S-t ●ro?s/atfl@nt Inner London

ML@ lncme ●rou wl~ foo &lldron

Modern private housing, M@ Incae

Wlm stitusInterwarprlv.housingEsub31ehedwmbe ofhi@ stetus

EsteblIohodrural~tir W1llWSVeryhl@ shtus●reas

Areas ofelderlypeople,prlvati-sing

Aroesofelderly~ople,flats4 ho-es*lassIfled.

M1.8

1.56.12.66.7

2.0

1.0

1.7

5.5

3.6

3.5

6.7

1.8

1.2

1.1

6.6

1.23.32.7

3.81.70.8

0.5

0.2

1.7

2.1”

1.7

2.4

2.9

6.2

4.8

2.9

1.1

3.1

2.9

1.6

1.1

2.02.09*32.14.61.30.32.66.0b.94.2

14.9

3.4

0.3

3.3

7.0

0.7

14.4

3.0

2.6

0.3

0.2

.

0.3

0.2

1.5

2.1

2.6

l.e

2.6

1.3

1.83.90.7

2.0

*tIand

0.s2.29.70.21.10.41.30.9

0.1

1.5

0.10.11.12.9

2.6

5.76.90.6

0.4

7.14.3

5.9

19.69.0

0. i

0.1

2.1

2.3

1.8

0.9

2.8

0.6

2.1

1.7

0.5

1.1

~

1.7

1.6

6.6

2.36.0

1.8

1.0

1.6

5.0

3.5

3.2

6.5

1.8

1.3

1.3

6.5

i.s

3.1

2.5

b.o

1.9

1.3

2.4

1.0

1.5

1.8

1.6

2.3

2.8

3.9

4.3

2.9

1.1

2.9

2.9

i.6

“1.1

Co. PoDn.1970

1.7

1.6

5.32.2

6.31.0<(...

1.0

*.33.5

3.2

5.22.4

1.8

1.6

6.7

1.5

3.3

2,14.0

1.9

1.32.30.9

1.2

1.3/. <

1.5

2.0

5.0

4.8

3.5

1.5

4.1

3.9

1.*

1.8

● Soof Ootnoto on provlouo pego .

Peter Shepherd8 July 1983 “

299

The descriptions which follow ~ extmcted from the CACI documentQA~RN: a new approach to ~ket analysis’.

E- ACO~ GROUPS

Group A: ~~ -Y HO~ING R)R -AL W-: The typicalhousehold h this type of -a is a young familywithyo~ orschoolage ~ldren, li~ in a modem, medium-si%edhouse. Thiswill have been built by the 100al authority or as partof a lar~,downdet, privateestate.Thistypeof -a is most~bn onthe outskirts of the larger urban areas, to which companies andtheir skilled workforce have moved fmm mngested inner -asduring the past ~ ye=s.

Gnup B: MQDERN FMILY HOUSING, HIGHER INCO~: This type of areais also populated primarily by yoq families living in modemhouses, typically on ~11 private estates in cormnutertill~sor on the outskirts of large towns. The housing often suits theneeds of people whose career advancement may depend on moving toa different part of the country or who may expect to mon to al~ger house in a more select nei~bomhood as their real incomesrise.

Group C: OLIER HO~ING OF ==~!I!E STATUH: This sort of ma”typically consists of older, mostly pre-1939 hous~, not neces=ilyin poor condition, and mnta~ a fairly rep= sentative crcss-

r section of the population as a mole.

Group D:VERY POOR QUALITY OLDER TERRACED HO~~: ThiS ~upcomprises poor wit y hous~ in pre-1914 terraced st~ts housinga high proportion of households living on very low incomes. ~chof the housing still lacks a bath or inside W.C. snd is deficientin terms of ventilation, heating and cooking ~nts, as wellas in opportunities for childrenfs play.

Group E: RURAL AREAS: This type of ma containb the 696of thepopulation li~ in c~ ties which depend directly on f-for their livelihood. Generally these -as are too far fromlarge towns to prove attractive to co-ters.

Group F: URBAN K)CAL A~RITY HOUS~G: Urban council estatesaccommodate dispnportionate numbers of l== families and house-holds with scho~l ~ children and with above am- concentrationsof disadvantaged ~ups such as the sick, handicapped, unemployedand single parents (if only because these -ups ~ @venprefennce in hous~ allocation policies).

-L= —

G-P G: mmm m msT OVERCROW=: GrOUP G -riws a vsv-1 setof areas With a d.isti.n~ m@~ bAas. ~ -upocours alnbost exclusively h West @ntA Sootland and isdistinguished by its exceptional proportion of 1- f-lies,makilled households and unemployed workers.

G~uD H: MU IN~~ AREAS WITH -G-: A high proportion of theretry fs etMc minority population lives in this type of -attioh oomprises areas of typioally p~1914 housing, mostly inInner London. These -as suffer from a ~tive shortage ofadequate family aooomdation with the mwlt that low inoomehouseholds M ~ rents for *shed flats or ~ahedrented terraoed housing. Overomwding is Oo-n, as is a lack of,d king of, basic amenities.

Group I: S~ AND HIGH STA~ NON FAMILY ANEAS: Th-istw ofarea is found mostly in Inner bndon, - in university towns,snd oomprises -as of older housing which has retained M@ status=d where fsmilies have hen nplaced by single people andchildless couples, often living in al flats in big old houses.Its population is typically employed in ~ied and well-paid servicejobs, located in the central business area.

Group J: TRADITIONAL HIGH STA~ SUBURBIA: Older higher incomehouseholds - most likely to live in group J, which t~ic z~.t.’consists of inte.=w suburban private housing, detached or semi-”detaohed and demloped to low densities. These mas - mostoften found within the outer areas of 3arge cities since a high

C proportion of workers m employed in professional or ~ridjobs in the seMoe sector.

Group K: u OF E~RLY PEOPM (0= =OKCS) : ~s ~uPwntains moet areas with a hi@ proportion of elderly people.These may live in owne~coupied detached or semi-detached houses “in seaside resorts or in blocks of private flats or shelteredacootmnodation elsewhere. A large proportion of th?se residentsare of hi@ social class and many have moved to their present houseon retirement.

* 301

-3-

The featia of the nei@bourhood -B picked out in lib followingdescriptions are those which, on am-, occur mom ti~tlythanin the population as a whole. That is not to say that th sefeatures apply to the whole population of w neighbcurhocd type,or indeed b meny instances e~n to the majority of -sidents.These however are the features which in comb=tion @vs each typeits disttictive social and demographic character.

Hei&bourhood Tyve 1: W A~OHITY AND NEW TOWN HOUSING, HIGH

Location

Status

EOUS*

Households

:

:

:

:

WAGH m

MOstly in new towns like Basildon and SteW~, sndsuch places as Basingstoks and Peterborough subject

to town expansion schemes.

Skilled manual workers predominate in these masbut ovsrall household incomes ~ above an-, dueto good local employment opporhmities, and to wiresand ~wn-up children who d so work.

tistly poat-war New Town Developnt Gcrpcrationhousing, snail but attractively laid out.

These - family areas with few old people or singlepeople li~ aione.“ S@le people li~ at.home .will soon be ~ied and the child pcpulation of theseareas is likely to fall rapidly during the 1980s.

Neiabcurhood T~ 2: MIXND HOUSW, YOUNG FAMILIES

Location

Status

Hous~

Households

:

:

*●

✚

Often C1OSS to the centre of -ler towns such asHunt-on, Pembroke or Penrith, and in some largertill- s.

A fair crcas-section of the national population.

This type contains ~as which are not of a ~?o~housing type but the majority are adeqmte sizedlocal authcrity houses adjacent to older terracesand private estates.

Not mtypi~ of the country as a whole but with abias tow-s young couples and children and with fews-e people li~ alone.

NeiAbourhood - 3: HNCENT ~UNC~ ~US~G

Location

Status

Housi~

:

:

:

:

%Ughout the country. In metnpclitan areas andin lar~r towns, mon likely on the periphery thanin inner areas.

Below a~~ for the country, but high proportions ofskilled, as well as semi-skilled and unskilled,labcur.

Almost exclusively local authority owned - mostlydeveloped since 1966 in the fona of medium size familydwellings both on low rise estates and in tower blocks.

Young couples ham waited on council lists for‘thesea 02new homes. Older chil~n are now at school whilstfamily fomtion nears completion

Location

Statu8

-

Households

:

:

:

:

On the metropoli- -, o~n fillm in Qacantsites of low landscape‘andamenity *U. PlaceslikeWakefield,tick andBri~d willham thissortof housing.

Inte~diate with a largember of aspti~ skilled~ workers, many of them =@ly M workersin large factories. ThuB bcomes are slightly abom

tly Workimg class ~ups .a~~ for p=~

The cheapest end of the private market comprisingestates Mlt by natiotiy * f-s often of-1 terraced hous~ without garages and with only*1 gardens.

The first time buyer att~ted to tM type willtypically be a young couple with two or t~e childrenpre-adolescence.

Nei@bourhood Type 5: MOIERN P~ATE HOUS~, W~ STATUS

Location

Status

c Hous~

Households

:

:

:

:

Typically in wwi.n8 *ler towns like Lei@ton Buzz=dand Wngleton, =dbefore 1974 calledlarge towns with a

Above the nationalgood proportion ofworkers.

in estate villas in what werezural Ustricts, snd accessible tosecure employment base.

ave~ but still inclu~ a .technical and skilled ~

Estates of post-war private semis, typically laid outin neat cul+-sacs in moderate sized plots.

Pr-ily yo~ family -as.

Nei~bourhcod Type 6: MOJEM PWA~ HOUSING, YOUNG F~=

Location :

Status :

Hous@ :

Households :

As Type 5, but especially in the South East, inplaces as ~elmsford, -ham and Chesham.

Well abow ave~; very few unskilled workers.

such

Includes mostly private sector semis snd some smallerdetached houses built lsxgely since 1966.

There are more young fsmilies than in Type 5, wfilstthe type is more ~et than Type 4. ~ ~l~nsnd their p-ts - likely to be young.

Neiuhbcurhood h 7: mmm -

Location :

Status :

Hous~ :

Households :

Scattered thro@out - Britain.

Inte~diate.

Family housing is fairly moden and of adequate sizefor the ~ung service families who rent it ~m theMinistry of &fence.

~rces housing ac~dates s~le men and f=ilies witha hi@ pnportion of pre-schccl ~ chilhn.

● 303

,

hcation

Status

~

Households

:

:

:

e~si~n has engul&d a - older aettlemant.

Sli@tly below the natiod a~rage, ~ioulsxlyamo~ professionals and ~rs, but otheni se afair “cross-section.

Ve~ mixed tho~ seldom inclu -1914 hOUS~or subdivi&d lar~r houses. !Asvih~2 itistiikely that the hous~ is homogeneous.

A cross-section tho~ with a bias towards older couples.

Location

Status

Hous~

Households

s

:

:

:

:

-dominan tly in tfltional industrial areasespecially where the manufac- base is still fim(i.e. My, hme, Loughboro@) when it occursin the inner -a of intermediate size tiwns.

%1OW awe but few workers do not poseess someemployable skill.

Predominanttly P=-1914 te-ced streets with baytindows and small front gardens, many of which hambeen modetised by owner occupiers. “

These settled m tities ha- = ~~ md .residentially stable population-cent@ fewer -than usual children or teenagers. The sin81e peoplewho live in these -as tend to be elderly.

Neitibourhood Type 10: MrxED DEVELO=, 0- IN COUN’I!RYTOWNS

Status

Housing

Households

:

:

:

:

Mostly in the older paxts of al tit towns, inspas, such as Mal=rn or Tunbridge Wells and in theolder areas of resox-tsas well as in large citieswhere suburban ~wth has enveloped older settlements.

A cnss-section of the country as a whole. ,

There are some attractive individtily desi~ed olderhouses inte-ed with flats abow shops and olderterraced streets.

The housti lends itself to the needs of older peoplerather t= fsmilies since outdoor play space is often-vailable.

Nei~kurhood m 11: -R AREAS, Lt)WQUALITY TERRA~ HOUS~G

Location :

Status :

Hous~ :

Almost exclusively confined to the -r mas ofbig cities, places like Bootle, Salford and Gateahead.

Very low with a high concentration of unskilled workers.

OrigW Victorisn terraced houses ~ often stillrented from private lmdlords and remain _eznised;often they front directly on to the street, and at’the back they are served by a ~w alley+ ManY

houses still lack a bath =d inside W.C., and -often subject to slum clearsnce. a 304

-6-

Households : Cctity stability Is threatened as older folk die.Hew -iva.ls may be -e *pie or low h-couples who ~ latefigain access to public housing.

I Neitibourhood Type 12: LOW QU-Y HOUSING, ~CLININC AREAS

Location

Status

Hous@

Hou~holds

:

:

:

:

Pred-tly h m~ons of decl~ ttitio~industry, in towns like Herthyr Tydfil or Blackburn,wherethen is a traditionof wo~ classowneroccupation.

LOW, tho~ not as low as Type 11.

F&sidents have difficulty in affo~ repairs toVictorian and turn of cen~ te~d hou=s, _of them stone-built and unmoderni*d.

School leawrs and YOW couples tend to lea= to @tjobs or better home; so-the ~pulation has an elde=lybias.

Location

Status

Hous@

f

Households

:

:

:

:

Stil vill~s in - areas, especially in Cornwalland North Wales.

Intermediate, altho~ increas~ly attmctive toprofessional employees. Income le=ls - thussli~t ly abow average.

Rented and privately owned cott~s, _ stillunimproved, together with some newer houses m d theoccasional small council estate.

School leavers mom to the city for jobs or t~and are replaced by a mde st inflow of ret-d people.

Neitibomhood _ 14: HURALAREAS-_F~

Lo=tion :

Status :

Hous~ :

~ouseholds :

Hamlets snd -l tillages where the ~orkfo- isemployed almost exclusimly on large fm holh.Very typi- of ~1 .-d ~iao

Often very poor areas populated with f- labourersand their dependsnts.-butwith a snail minority ofrich landowners. However, there m fic~as~ n~bersof pmfe ssional tigrants snd incomes tend to be diverse.

Wch of the rented hOUSti is ~cious but it needsimprowment.

A slightly elderly bias ~flects po@ation declinesnd retirement mi~tion.

-l–

Location :

,Status :

~’Households :

Hamlets and =s of”soatte- mall f8nus, especiallyin the western upland and paste- half of Britti,Devon, Cumbrti and mid WdeB.

Intemdiate, tho~ money inms and educationalachievement m low compared with the value tied upin capital as land. There - mm own aocountf~rs, classified as skilled ~, aud fewer hiredlaborers,” classified as semi-skilled. Income lemlstend to be low.

~ically scattered fauses.

A sli~t elderly bias. Rural farm owners mo- houseinfrequently.

Neiuhbourhood Type 16: ~HAL ~W ~~~ - AUI!.HORITYESTATES

Lccat ion

Status

Hous~

Householdsr

:

:

:

:

Typically on the peri hery of Mge cities, especiallyLthose such as Middles gh, - and Cardiff with port

employment.

Very low. Unskilled workers comprise almost twi- thenational amrage share.

Typically l=e scale local authority estates, oftenbuilt to house families from slm cle~ce schemesjand including hi@ tise snd maieonettes as well ashouses.

Because of the ueriod when they we= built the=estates contti- _ l=ge f-es and.especiallythose with Ch.i~drenof school w.

Nei~bourhood m 17: SW W A~ORITY FAUILY EO~ (S~LAND & H

Location

Status

Hous~

Households

&.

:

:

:

. .

Extensin in Scctl-, Norttirlti, Tyne and Wear,and Durham.

Wr council hous~, moderately hi~. In Scotl=dand the North East ~blic housing is mom accessibleto ti~r status pups tti elsewhere.

hw density council hou~ of ~ous periods butwith typically fewer rooms than comp~ble- wishestates.

.

Easier access to mblic hous~ re~ts @ l~@rproportions of ~ti children = single people thanh other local authority -s desi~d as familyhousing -as.

Location

Status

Hous~

Households

:

:

:

:

=kily h sr%as such as the Black Wuntry andGreater Manchester, such as Wednesbury and Oldham,where there is a ttition of ~ wor~ in factories.

Si@ficantly below aveq.

Soti~Y ~lt council estates, laid out at fti~ly 10@ 06densities.

Ccmp-d with other local autkrity types the a8s Profileis mo= twical Of ~- Comtry as a ~Ole ●

Location :

* Status :

Hous@ :

Households :

b-n wherever -S - or once were active, e.g. SouthYo*b, Mottaahim, S. Uales.

Hotable for the absence of white CC1l= workers. ~manual workforce ia predo_tly ~lled and somecan eti correspond Ma qs, althom on averageincomes are low ●

Mostly low rise, ~tively laid out estateswith good-sized plots, as well as some terraced hous~and ex-National bal Doard hcus~, often h need ofimprovement●

Very few ~ied people living alone. Older coupleswith tee- children are numenus.

Nei~bourhood - 20: LOU A~O~Y ESTA~ WITH O~R COUl?~

Lccat ion :

Status :

Hous~ :

fHouseholds

Inter-war suburbs of lar~r towns and occasionallyin -Ier towns with a trfition of public housingsuch as Hainault snd St Helier in London, orWythenshawe in Manchester.

Weak on pnfessionals and ~rs but othe~isemnfox to the national cnss-sect ion. This typehas the highest status of.any in this group, altheaincomes may be depressed by the elderly ~ distribution..

Attractive inter-w= local authority estates built tolow densities. There ~ often large @ens.

The ycY

married couples who settled in these estatesdurti t e 1930s have tended to =rn~ sc t~t by nowthe &pulation is relatively elderly and the= ~few chi.l~n or tee~rs.

hat ion :

Status :.—

HOUS* :

..

Households :

Wstly in the metropolitan counties, H~ and Teesside.

The lo~st of sny typehouseholds much higher

Tends often *O be hi’ghsites.

bwer ticcme families,

in Group F with ~tilledthan the national”ave~.

rinseon.inner area’=mmlopt

pmpotiion of pensioners.

Nei@bourhood - 22: LOCAL A~O~Y ESTA~ WITH Am (0- HIGH ~SE)

tication :

Status :

Hous~ :

Households :

Dispersed.

About an-, and compared with other local authoritytypes the= ~ many clerical and other seMce workers.

Often hi* rise.

Typically mnall flats forpeople. These areas have

pensioners and oth~r singlefew children.

* 307

-Y-

Heimbourhood TYRS 23: WGAL A~ORITY ~A~ WITH?USTSTHESS(GLASGOW)

Looat ion

Households

;

:

:

:

Mstly on the peripb’ry of Gla~w and other towns hthe West of Sootland and to a lesser degrw onkrseysi& and h Tyne and We=.

Extremely low.

Typically post-war 100al authority slum clearsnoeoverspill in largs develo~ts, muoh of it oonrprisingflats and tisonettes and, b Sootland at least,significantlytiler in nwmber of rooms than e@--lent housing in other areas.

Ho nei~bourhood type has remotely Ooplefertil~ty with the-~su3t that ttire - disproportionatenumbers of very large families and of sohool %chilhn.

Nei~bourhood ~ e 24: ~ AND NON--=RMANENT B~INGS

Lcoat ion :

Status :

Hous~ :

Households :c

Predo_ tly in the cent~ and East End of Gla~wand the inner -as of other large Soottiah towns.Pe~ent ~avan sites ~ fall into this type asthey also =ve high ove=crowm, i.e. people pernom.

Very low indeed.

In the Scottish cities, ~Y fow 40=Y stone .tenements of small, unmodernised flats.

Yowng single people and couples with pre-schoolchildren who will in d- oourse e~ct to move intolocal authority hous~.

Nei@bourhood ~ 25: vrcrou LOW ST- (ICU?HRLONDON)

Location

.Status

Households

:

:

:

:

~stly in pre-1914 inner London, especially southof the -s in Wsndsworth, hbeth, Southwark.and‘Mwisham. Al~ found k Devonport (Pl~uth).

bw, but with cleri- =d. techni=l s~f well ,:reptisented.

TWO and t~ee storey Victorian te-=d houses - “ “interspersedwith flats “aboveshops and private--dcouncil-ownedblocks.of fl-at.s.mere is a *ro@private rentm sector and a tendenoy for,S- ltigerhou~s to be subdivided....

,.

Biassed totis yo~’ single people li~ -one orshar~, snd to-s-older ~ther than ~unger ~iedcouples. A hi@ proportion of New”tinkmonwealthf-lies.

hcation :

Status :

Mostly in London, especially h Isl~n~ _eY~--y, ~~bux’n and Nofih -nS~Ono

Low, but with clerical and tec~oal staff wellrepresented.

-lu -

- : Typioally thrw @ four sto=y Victorian te~hous~. In some -as pri-te tenants - theu= of kitohens, bathrooms etc, often with resid.mt .landlords. In some areas the hous~ is h poorootition; in other ~as _wments - oonwrsionsprotide flats for private sale.

Looation :

Status :

Hous@ :

Households :

In provincial ~ish cities tioh haw been settledby -~ts fim the West Indies, India and Pakistan,especially B~, Wolwrhampton, Leioester andBradford but also -ler towns in the South East suchas Be-, Bedford and Slo~. In London th.istypeis found in inte~- suburbs such as Wembley,Southall ad Tottenham.

Well below ave~ and with an emphasis on :actoryrather than seMce employment.

V=ied, noxmally p-1939.

A quarter of UK residents born in the New Co-nweslthlive in this type. Its ~ structure is much youngerthan that of terra~d and inter-w= housing as a whole.

Nei~bourhood h e 28: S~ AHEAS, ~= - LONDON

Location

<

Status

Housing

Households

:

:

:

:

Very wch concent=ted in the central London boro@sof Kensington, Westminster and Csmden, but also“app-nt inthe inner -as of provincial cities, andespecially -und th? older universities.

Educational status is ~ry high tho~ incomes tendto be disperse, ~ fmm very wealthy, to studentsli~ on ~ts. tite=diate inoome ~ups workdisproportionately in seMces, education anddistribution ad them are very few hi~-income manualworkers.

Hid density housing built for Victorian merotits andprofessional classes, still in good repair andditided tito moderniseal,small ht convenient rentedflats.

A high ooncentration of single non-pensioner households,four times the mtional ave~, and few children.

Location :

Status :

Housi~ :

In the older areas of established m@o@ ser’iicecentres such as Exeter, Bath or Bri@ton, and in themiddle distmoe London suburbs (G~enwich, Pu-Y~Golders Green, Muswell Hill).

High, with a higher proportion of clerical than tilledmanual workers. More distinctive for high educationalattainment than for disposable incomes.

W stly Edwardim snd e=ly inter-w= housing, increas~proportions of which ~ being con~mrted into ~llerflats. ● 309

-11-

non-pensioner householdsHouseholds : Singlet~ ti Type 28, but -still ticet the national amrags.There -- ~ pensioners and 6tudents, ht fewerchildren than h t-tional suburbsn types.

Location :

status :

Hous@ :

Households :

Mostly on the - fr~ of large cities andespecially in the outer Mtropolitm Area in theMlterns, Surrey and M*shire, e.g. Amsrsham,Camberley, Uo~.

Veq high indeed, second only to Type 34 in itsproportion of professio=ls @ managers. Highk ome groups tend to Co-te to executive jobs infactories as mch as to professional jobs in ~ntralcity business districts.

Some post-~ individual desi? Y

d houses to~therwith estates of detached execu ive9 houses withtwo W,C.S and double ~s.

The hous~ is often too expensive for first timebuyers but femilies - predominantly YOW mdchildren of school ~ and younger.

Neiabourhood Type 31: MEDIUM STATUS -R-WAR PRIVA!L!EHOUSING

kcation :

6

Status :

Hous~ :

Households :

.

Highest concentrateions are in London and surreY,e.g. Perivale, Sidq and Peltham, but this type isalso found in provincial cities end smaller towns,though seldom close to the shopping and businessCentre ●

Abon amq with above amq technical andclerical staffandveryfew mskilled and unemployed.

~domi.nan tly tite~-, owner-occupied terraces andsemis.

A slight bias towards older families. People movehouse less often than in other high status types.

Nei~bomAood m 32:=TABLISHED HIGH STA~ SUBUR13M

Lccation

Status

Hous~

Households

:

:

:

:

Mostly in the suburbs of very big cities, @icularlythose such as London, Cardiff, Pdi.nbur@, with citilsemts and professionsls in universities, nationalagencies, - public utilities, -as such as -w,UOti and Coulsden.

~remely high, with twice the national averageproportion of professiotis and ~rs, tho~ notas hi~ as Type ~.

~dominan tly inte==$ owne=ccupied, as m ~ 31Jbut lar~r. often with four bedrooms, with much larger-ens-and mostly semis and detached houses.

Wstly older couples with teenage or @wn-up

*

children.

310,

Location

Status

~

Households

:

:

:

:

micul- ti~a Wiw easy driw of alarge town, mostly within tb South East, fortistance in th ~lterns, Eorth Somerset,Wanficksh.ire,etc.

Mixed: a third of all households m professionaland ~rial but there is also a 1=~ proportionof low @d 10- workers with fewer in middlehCOSM? hou=holds .

Although there is a fair smcuut of poor qualityrented hous~, these -t=st with a substmtialnumber of i.nditiduallydesi~ inter—war andmodern houses set in spacious -s.

A preponderance of older families and hi@ in~meretifid people.

Neitibourhood M 34: AREAS OF THE VEHY HI= STATUS

Location

Status

c Hous~

Households

:

:

:

:

This type occurs most in outer metropolitan suburbs

(Solihull, Pinner, Esher) and in country =eas

@-r

od mil access to the centres of IerYcities Surry, ~ltems, North East Cheshire , the

stockbroker belt. Predominantly within 35 miles ofLondon.

Very hi@ - over SM of households m headed by a,professional or ~r.

Often individually desi~d, inte~war detached, withfour or more bedrooms and l-, aecl-d gardens.

~ponde~ce of ~ied couples in the 45-64 ~ ~UPwith tee- or ~wn-up ml-n. me hous~ isoften too ~xpensi~ for-younger families of e@valentstatus.

Nei@bourhood Type 35: HEsmIAIl m~

Location

Status

~

Households

:

:

:

:

Mstly alo~ the coast, and especially between Clactonand Torbay, in quieter towns such as Herne Bay?Worthing or Ventnor, as well as choice iriLad towns

(Malv8xn) and occasionally where an enumerationdistrict is dominated by almshouse ckities orresidential homes for the -d.

High, be-se those who mi~te at reti~nt -mostly bette=ff owner-occupiers, though this doesnot me= that ~t tiCOIDeS and current spendingis high.

Genemlly spacious owne=ccupied fanily housingwith adequate -ens.

The elderly comprise twice the national ave~.

● 311

Looation :

Status :

~:

Households’ :

.

In mtfi and Seafront looations of -Or houday

c

● 312

I

NATIONAL CHILDREN’S BUREAU8 Wakley Street London ECIV 7QE

NCD64 Area coding and its uses

Paper prep=ed by NCB for the meeting of the -4

Steering Cotittee on 25 W 1983

~troduction

1. Ws short paper describes the -a coding, based on 1971 Censusdata, which haa been added to the 1981 NCDS4 interview survey data baseand indicates the kind of use to which it might be put.

2. Consideration is also @ven to the addition of &her area codesbased on 1981,Census data.

Area codes based on 1971 Census

3. Area codes were supplied by ~1 hternational. The ddress of eachmemb~ of the NC~ cohort who participated in the 1981 ~ey was post-coded as well as the address at “thethe of the last large scale ~Yin 1974. ~ese postcodes were then used to access enumeration districtand other 1971 Census data held on computer file by CACI.

4. Following checks for consistency, these area codes have now beenadded by NCB to the NcD84 intefiew survey data baae. For each re~otientthey provide both at 16 (1974 address) and 25 (1981 address) the fo~o~:

(a) location codes - postcode, O- Cen- District,OPCS Enumeration District, constituency, wsrd, county,district, re@on

(b) ACORN type - this is a classification of O~S enumerationdistricts into 36 residential neighborhood ~=.~eclassification is b~ed on 40 census vsriables coveringdemo~aphic structie, household composition, hous~,socio-economic structure end residents’ employment Characte~istics. These ACO~ ne~uurhood types can b turn beclassified into just 11 ACORN ~oups:

A. Modern family housing for manual workersB. Modern family housing, ~er komesc. Older housing of intermediate statusD. Very poor quality older terraced housingE. M areaaF. Urban local authority hmingG. Hous~ with most overcro-H. Low income areas with ~tsI. Student

f],..,...fif,l;;,l,l1).1”1(.!’!!,:!I{IJSS

snd high status non-family

StJ[;/t,/.?fI, 1 F Ilancock DPAMIIGA

ereas9 313

-2-

-2-

.

status surburbiapeople

(c) C~ variables - these 19 *ables p-de ~ areadata descriptive of Ufferent aspects of the sccio-economicstnacture, ~loyment ~tefistics and hcusi~ ~~ntfor each respondent. They - recoded for both

(5)

(ii)

e~tion district - the emeJ.lestunitstatistics are available with an ave~about 460.pr*lgTq local authority

for which censuspopulation of

5. -her det~s of the variow area codes sre to be found in hex 1

to this paper. Details will also be incorporated in the update of thedata dictio~

Use of area c-

6. Earlier papers prepared byDE ti ~ have indicated the potentialvalue of the addition of =ea codes to ~~4 data* for both:

[

a) the tiyeis of 1981 intetiew data:; andb) the addition of further indicatir derived from

other sources.

Only a general outline is @ven here.

7* Sn analysis the location codes relat~ to the 1981 address areessentiel t~ meet the DOE requirement of analysis for ~land only. Theyprovide the opportunity to identi~ ~cnal, w~rurs3 or other geo-grapMcal differences in response to the mey and k circumetences

.

and events (and theti inter-relationships)ac~ss.the ~ of toPicscove~ by the questionnaire - ~loyments educations ~t H-,

.

f@ly, houaing, ticme, health, leisure, etc. Comparison of 1974 and1981 location codes will provide a basis for invest~tion of ge~phicalmobility b relation to ~loyment, hcus~, -cme etc. MS would,however, be a measure of net mobility over the periodfor~ alth~ Pr*l~nary ~ysis of the 1981 survey revealed 81 percent of respondentshad moved since the 1974, it dso showed that only 27 percent had moveddirectly to theti 1981 address.

8. ACORN ccding provides info~tion about the ~ediate area in whichthe respondent ~ves and, in s~es of coqtion patterns and life-style, it has been shown to be a more effective diac~tor than moreusual”me~es of socis3 claas.~ ~ analysis of NCDSIV data it can be

*

**

Emlv : -cposals for social area analysis - *ePared for the NCDSIVSteering Ccxanitteeby the Depart~nt of ~loyment Social Science Eranch,~0 September 1981.

~ea co-, procedures and associated costs - Paper prep- by ~for the ~DS~ Steering C~ttee meetti,~oveber 1981.

CACI (n.d.) ACOFU?: a new approach to &et -is.- 314

-3-

-3- .

~ed ~ Ofierto att~t to assess the relative impOrt~e of pe=sonal W area chsractertitics. ACORN c- can also be used toextend analysfs of re~od or other _aphical differencesbyproviding additional info-tion for dis~t~ between -as.SMl=ly, by providing details of the ctiteristics of originsand destfitions it can be used to enhance analysis of ge~phi.calmobility.

Nevertheless, it is important to ~ber that the classificationisbased on 1971 ce~ data t~ ye- before the data gathered by the

NCDS=V interview s-ey.

9. me census variables also provide information about -acharacteristics which can be used to iuvest~ate the relative @ortanceof personal and ~ea ckteristics and extend the exploration of &o~aphical. differences W mobility- Perhaps more importantly, they

also allow a limited but nevertheless real choice of mex~~e so that,fo= example, relewt employment variables can be wed in analysis ofemployment topics and similarly appropriate housing ~iables c= beused in an analysis of hous~ topics. ~ey also permit a choice ofscale, for data are available for both enumeration distric end localauthcriw.

@ it is important to remember that the 1971 Ce~considerable time before the NCDSW ~ey.

It).r The discussion of the use of -a &ta has beenIt is hqed V=t many more ~ecific ide= for the USed

was tslcena

brief end @neral.of this data in

analysis- will ~rge- during ‘tiecourse of discussions withDepartments.

11. !l!headUtion of further area Mcators -t also use- “be tiscused altho@ given the project is due to be c~leted inDecember 1984 it -t be better for efforts to be concentrated inanalysis on the use of the CACI data

The addition of CACI data based on the 1981 Ce-

12. Nevertheless, CACI have recently ~ounced that a retised ACORNclassification baaed on 1981 Census data is now available and$following brief discussion with DE, we have investigated the practic-alities of the addition of ~er WI ma codes to the ~~.

13. !l!he1981 ACORN is a classification of Census enumeration districtsinto X residential ne~bcurhocd types (rather than the ~ types of the1971 Atom). me new classification is baaed on 41 census vsriablesenconrp=s~ demc~phic, hous~ end ~loyment characteristics.me ~ne~bourhood types themselves can be ~eeted to @ve 11 neighbourhocdgroups:

-4-

● 315

A,B.c.D.E.F.G.H.I.J.K.

@ioulwal areasMern f~ly housing, ~er incomesOlder hous~ Of titetiate sta-Poor quality older terraced housingBetter-off counoil estatesLess well-off council estatesPoorest oounoil estateamti-raoial maHigh status no-faxnily areasAffluent mburban h~i.ngBette=off rettiement areaa.

14* Details of the ~fdld ACOHN classification are to be found inAnnex 2. Its tiue to NCDS is that it is baaed on census data collectedin the sae year as the NCDS4 intefiew survey. This issue is consideredin some detail in Annex 3.

15. CACI have estimated the cost of providing the 1981 ACORN type and anumber of ce~erived -iables for the 1981 address of NCDSIVrespondents as follows:

[]

a 1Z,500 ACORN codes - ~ 9t0bT- 10 census variables at enumeration district level - s 2000

15 census variables at emneration district level - S 2600(c) ~’--lOcensus ariablesatat pre-lgTh local =thoritylevel~ 1250

15 census =iables at pre-lg’7q local -thority level - C 1500OF (d) ~’--lOcensus ~i8bles at pos&19741d=thori~l-1-gZsO

11 - 15 c~ variables at post-1974 ld -thori@ level - S2s0.

15. There would be additional cost inourr4 by ~ in prep- a _etictape containing serial nwber and postcode for the 1931 address d also inad- the new ~1 data to the ~ &ta base. ~ese” costs d thet~table for ~ wo=k ~e perhaps best discussed after the Stee~ C-tteehas @ven initial consideration to the question of the addition of ~1data baaed on the 1931 Cc-.

17. me costs could be met frm the ~20,000 whioh rem in theContingency Fund altho*@ the Steeri~ Cotittee ~ want to co~ideralternative uses of the money.

316

A- 1 Ama codeson the~ database

I

QCI data on the mDS4 da.tibase

1. me following 50 vsriables are a-lable for both 1974 @ 1981address :

PostcodeOPCS Census DistrictOPCS _eration DistcictACORNConstituency IO numberConstituency typewardPost-1974 countyPost-1974 DistrictPre-1974 countyPre-1974 District$t~ Re@on

For Enumeration District and Pr&1974 bd Authority :

Sick or see- work / All economically active peopleMarried femsles working / Females -d 25- 64People in Mining or Mac&e / people worUWPeople in @iCulture / People working

< Professional & _rial / All econ~cally active peopleNon-~ / All econani~ active peopleWiled / All economi~ active peopleSemi-skilled / All econoinicsllyactive peopleU-lled / All economically active people~ O -4 / Tot~ p~ationOwner occ~ied households / All householdsCouncil tenant households / All householdsU~shed tenant households / All hueholdstished tenant households / All householdsPersons inHouseholdsHouseholdsHouseholds

.~t s

howeholds / Ro& in householdssharing some amenities / All householdswith no inside MO / ml huehol&sharing or lacking a bath / All households/ All people

T 317

2. Ms is coded aa tiom below. me relatitip between ACORN meand M.OM _ (not coded) is also Mcated.

.

,-

39 ma is coded accou to s~ Region as foucws :

&eatsr Londonsouth WtSouth VestWalesVest ?4idldsNast ?fidlandsEast ~liaYorkshire & EumbersideNorth WestNorthScotland

1

2

34567

;1011

4. Full det~ls of coding -es for coutitiency$ col~tY? district9etc are available from NCR The ~be’s of categories sre indicated below:

Location variable No. of cate~ries

Constituency 623Post-1974 ccun@ 66

r Post-1974 ~strict 4’25Pre-1974 Ccunm 96%*1974 District 1929

.

AYNEX 2 1981 ACO~ typs and ACOM -S

AA%8B0

:cccoDoEEEEFFF

GGGGHHHHIII

JJJJKK

u

123456789

10111213141516171819

m21222324

2526212629m31

3233sss37

3639

Annex 3 The analyeia of employment and training data in NCDS 4 noteson the addition of variables from the 1981 Ceneua

.

The case for adding 1981 Census data

1. The utility of social area analyei8 ha8 already been demonstrated in papersby C. Hakim and I. Breugel, and the arguments need not be repeated here. How-ever we do need to make a case for adding variables from the 1981 Cen8u8 tothe 1971 Census variables already available to us.

2. The need for 1981 variables arises particularly in relation to theanalysis for employment and training, and less in relation to the analysisof education data. Post-compulsory education is likely to be closelyrelated to the environment in which young People lined up to the age of

16, and 1971 Census data for 1974 addresses is relevant. Ecologicalvariables are probably less important after the age of 18, and althoughthere are differences between LA’s in the resources they devote to furthereducation, these differences cannot be captured in Census data.

3. As regards the analysis of employment and training, the most importantreason for including” 1981 Census data is that the economic climate changedsubstantially during the inter-censal period. Most obviously, there hasbeen a massive rise in unemployment, from around 6s0,000 unemployed inGB (exe. school leavers) at the time of the 1971 Census to 2,358,300 “unemployed at April 1981. This means that there is now a much wider varia-tion in unemployment rates between areas than in 1971, so that not OnlY

d6 the 1981 data give a more relevant picture, but they also offer ❑uchgreater possibilities for analysis.

4. There has also been since 1971 a selective pattern of growth and declinein different industries. In broad terms, manufacturing industry has dimi-nished while the service eector has increased in importance: the numberof employees in manufacturing industries fell by 1,193,000 between 1978and 1981 while those employed in service industrie8 rose by 214,000 betweenthe same dates (l). This ❑eans that the industrial profiles of areas based o1971data ❑ay give a very misleading picture of the labour markets in which❑embers of the cohor”t found themselves at the time of the 4th sweep.

5. Variables from the 1971 Census, although not perfect, relate reasonably

closely to the labor markets the 16 year old school leave?s in the cohortwere entering in 1974. unemployment rose during 1971, fell during 1972and 1973, and began to rise again in 1974, so that Unemployment rates inthe summer of 1974 were not vastly different from those in effect when the1971 Census took place. The 1981 Census was held only a few months beforeinterviewing in the 4th sweep began, and should give a fairly accuratepicture of local labour markets at the time of the 4th sweep.

6. The 1981 Census Small Area Statistics contain many tables that are notavailable from published 1971 figures, and they allow us to select morerelevant indicators than was possible from the 1971 data. Among the newtables in 1981 are:

-2-

100s Wployment status by sex and, for women, marital status

10% sample SEC by econotiicposition .SEC by full- or part-time employmentEmployment status by selected lndutItrie8 by 8ex, and forwomen, marital statusIndustry by aex and ageFormer Industry bf tho8e who are economically active but notin employment by sex and, for women, marital status.

7. It would have been useful to look at changes between 1971 and 1981 onsome variables: for example we would expect a sudden rise in unemploy-ment such as has been experienced in the W. Midlands since 1979 tohave an effect on career patterns which was different from the effectof a constant high level of unemployment. Unfortunately no measures ofchange will be possible a8 we have 1971 data only at ED and LA level.ED’s are defined by administrative convenience and may change from Censusto Census, while local government reorganisation in 1974 altered LAboundaries to such an extent as to make comparison of 1971 and 1981 LAdata meaningless.

At what level should variables be added?

8. In both 1971 and 1981 industry and SEG were coded by Opts for only a10% random sample of the Census population. ED’s typically containbetween 250 and 500 residents of whom only a proportion are economicallyactive, and it follows that, in each ED, industry and SEG are availablefor at best a sample of around ‘35-40P?oPle. Sampling errors on samplesas small as this are enormous. This is not normally a problem with FDdata as figures for adjacent ED’s are usually summed to glVe figures fora geographically ❑eaningful area, e.g. social services areas, and sample$ize is thereby increased. In the case of NCDS 4 however no summing ispossible, and I am afraid that the seven 1971 census ED level ‘ariablesbased on 10% statistics which have already been obtained from CAC1 willnot be useable.

9. There is obviously no such problem with the variables from the 100%tables, and a case can be made for including unemployment rates and femaleeconomic activity rates. at ED level. Unemployment rates can vary enormouslywithin a single LA, and it iB questionable whether even ward level dataare sufficient to capture these local differences. I would therefore favouthe inclusion of variables from the 100% statistics at both ED and LA level

10. Similar considerations affect the question of whether the 10% industryand SEG variables should be added at ward or LA level. There is no ‘right

answer to this problem and ideally we would include them at both levels.However if cost is a factor I would argue for including a wider range ofvariables at LA level only, rather than a more restricted range at bothLA and ward level.

Which variables should be added?

11. The choice of which variables to include from the 19’81Census should dependon a more thorough investigation than I have yet had time to do. However

it is possible to list a number of relevant considerations.

12. We need to enquire how well the overall unemployment rate serves as aproxy for both sex and age specific unemployment rates in local areas.

Though these rates may be highly correlated over time for GB as a whole,

they are not necessarily so well correlated at any one time over space.

7 322

-3-

13. We need to include some variablea which indicate the relative oppOrtunl-

tiea for ❑:n .Indwomen in the local area, as for many occupations men andwomen still compete in largely separate Iabou& ●~kete. It could aloobe useful to have an Indlcatlon of the availability of part-time workfor women.

14. We need a profile of the industrial structure of the locality which

a) allows us to identify the relative importance of growthindu8trie8 and induetriee which are in decline, and

b) if possible, allowa us to identify industries whichtraditionally have different policies towards the uae ofyouth labour.

15. Census Small Area Statistic8 do not seem to offer many variables whichcan be used to Indicate the predominance of primary or secondary sectorsIn the local labour market. Ashmn and his colleagues (2) showedin their study of three local labour markets that there Is no universalcorrelation between type of indu8try and recruitment from internal orexternal labour ❑arkets. Other factors which are held to correlate withprimary and secondary labour market, such as size of the establishmentand workforce turnover, are not Census variables. Probalby the bestmeasures we can get in this area are sex specific rates for apprenticesand trainees and for different skill levels.

When 8hOUld the variables be adde8?

’16. The selection of 1981 Census variables” should be governed by a theoryof how local labour markets influence employment outcomes at age 23 f’ordifferent career paths, and should go hand in hand with the planning ofspecific analyses to test particular hypotheses. I would thereforeduggest that while a commitment ❑ay be made now to add 1981 variables atsome stage, the selection of the particular variables to be added shouldbe deferred. This sould allow some work to be done on the 1971 variableswhich we already have and should help us to avoid both including variableswhich turn out to be unimportant and leaving out variables whose admissionwe later came to feel as a loss.

JOAN PAYNE

May Isth 1983

-4-

References .

(1) Department of ~ployrnent “Census of Employment results for

September 1981”. Employment Gazette~ December 1982, vol. 90

no.12, pp. 504-513.

(2) Ashton, DN, Maguire,” MJ and Garland, V. : Youth in the Labour Market.

Department of ~ployment Re8earch Paper no.34, March 1982.

● ✎ 324

Documents

CODING FRAME FOR AREA DATA BASED ON 1971 · PDF fileHmaeblda shar~ or lada~ a bsth / All ~lda ... ~ Cdy reatric’td Lltatieticeto 61mre Cmfidentislity they ... 2109 Pallo A8111 A8112