Home

BCS User Guide - UK Data Service

Contents

1. 8 INCIDENTS OUTSIDE ENGLAND amp WALES een 8 EDD 8 VARIABLE NAMES iie RISE dee 8 MULTIPLE RESPONSE VARIABLES cesses n ne nennen nennen 9 DERIVED VARIABLES ext Entre ba yl REX EES RP A cl 9 DON T KNOWS AND REFUSALS nennen ennt 9 BASE NUMBER s 9 SIGNIFIGANGE TESTS nei RI E desea dee cae eR A eR ees 9 CHAPTER 5 BCS DRUGS MODULE 45 5 ix ever rus eaux E EX IX V Ser vag PEU XR 11 YOUNG ADULT BOOS 11 DRUGS MODULE OVER T ME hito DEENEN 11 MISSING DATA ON DRUGS MODUILE e 12 NAMES OF DRUGS eset ax A E SEE NE OEE EES 12 CHAPTER 6 METHODOLOGICAL 5 nennen 14 SAMPLING ERRO R ra PE 14 505 EEN EEE EEE EEN 14 REGALI E AE EE EE A 14 UNWILLINGNESS TO REPORT E 14 DEFINITIONS OF GRIME titt ohh hne REIR REN IIR E IRR RII Ia E Sea 15 CHAPTER 7 BCS eaa a anas auus sn osea asas assa asas mr osea nna 16 AGGESS TO BOS DATA 2 i sie Ree Kees ARENS d 16 CHANGES FROM 2006 07 5 n eta edet tee tet ue 16 CHAPTER 8 BCS PUBLICATIONS iier esa neca ena aro nc cpu raa nen EENS 18 BCS PUBLICATIONS 225 18 FORTHCOMING
2. sex 1 5 ageshort variable labels sexage1 Age within Sex 6 bands each value labels sexage1 1 Male 16 24 2 Male 25 44 3 Male 45 64 4 Male 65 74 5 Male 75 6 Female 16 24 7 Female 25 44 8 Female 45 64 9 Female 65 74 10 Female 75 Compute sexage14 sex 1 7 agegrp7 variable labels sexage14 Age within Sex 7 bands each value labels sexage14 1 Male 16 24 2 Male 25 34 3 Male 35 44 4 Male 45 54 5 Male 55 64 6 Male 65 74 7 Male 75 8 Female 16 24 9 Female 25 34 10 Female 35 44 11 Female 45 54 12 Female 55 64 13 Female 65 74 14 Female 75 RESPONDENT ETHNICITY USES ONS LEVEL 2 CLASSIFICATION WHITE MIXED ASIAN BLACK AND CHINESE AND OTHER recode ethnic 1 thru 321 4 thru 722 8 thru 1123 12 thru 14 4 15 thru 16 5 else sysmis into ethgrp2 variable labels ethgrp2 Ethnic Group 5 categories value labels ethgrp2 1 White 2 Mixed 3 Asian or Asian British 4 Black or Black British 5 Chinese or Other recode ethgrp2 1 1 2 thru 5 2 else sysmis into ethgrp3 variable labels ethgrp3 Ethnic group white non white value labels ethgrp3 1 White 2 Non white recode ethgrp2 121 322 423 5 4 2 4 else sysmis into ethgrp4 variable labels ethgrp4 Ethnic Group 4 categories value labels ethgrp4 1 White 2 Asian or Asian British 3 Black or Black British 4 O
3. 0 violent2 4 format violent f2 0 variable labels violent2 of violent offence assault with amp without injury excl snatch theft value labels violent2 1 Wounding 2 Robbery Assault with injury 4 Assault without injury TYPES OF PHYSICAL INJURY compute minbruis 0 if whinju2a 1 minbruis 1 Variable labels minbruis Minor bruising or black eye compute sevbruis 0 if whinju2b 1 sevbruis 1 Variable labels sevbruis Severe bruising compute scratch 0 if whinju2c 1 scratch 1 Variable labels scratch Scratches compute cuts 0 if whinju2d 1 cuts 1 Variable labels cuts Cuts compute bones 0 if whinju2e 1 bones 1 Variable labels bones Broken bones compute nose 0 if whinju2f 1 nose 1 Variable labels nose Broken nose compute brteeth 0 if whinju2g 1 brteeth 1 Variable labels brteeth Broken or lost teeth compute chipped 0 if whinju2h 1 chipped 1 Variable labels chipped Chipped teeth compute concuss 0 if whinju2i 1 concuss 1 Variable labels concuss Concussion or loss of consciousness compute facial 0 if whinju2j 1 facial 1 Variable labels facial Facial or head injuries no mention of bruising compute eyeacid 0 if whinju2k 1 eyeacid 1 Variable labels eyeacid Eye or facial injuries caused by acid paint sand etc being thrown in face compute otherinj 0
4. value labels engtot 1 Total for england AREA TYPE URBAN RURAL recode rural 1 1 5 1 2 thru 4 2 6 thru 8 2 else sysmis into rural2 variable labels rural2 Type of area 2004 urban rural value labels rural2 1 Urban 2 Rural HOURS RESPONDENT AWAY FROM HOME ON AVERAGE WEEKDAY recode weekday 1 2 3 1 4 2 5 623 else sysmis into outday variable labels outday Number of hours respondent away from home on weekday 3 5 hrs value labels outday 1 Less than 3hrs 2 3 5 hrs 3 5 plus hrs recode weekday 1 2 3 1 4 5 2 6 3 into weekday2 variable labels weekday2 Number of hours respondent away from home on weekday 3 7 hrs value labels weekday2 1 Less than 3 hrs 2 8 7 hours 3 7 plus hrs recode weekday 1 thru 6 copy else sysmis into weekday3 variable labels weekday3 Number of hours respondent away from home on weekday all categories value labels weekday3 1 None 2 Less than 1hr 3 1 3 hrs 4 8 5 hrs 5 5 7 hrs 6 7 plus hrs HOURS HOME UNOCCUPIED ON AVERAGE WEEKDAY recode unoccl 1 2 3 2 4 3 5 6 4 else sysmis into unoccday if weekday 1 or unoccw 2 unoccday 1 variable labels unoccday Number of hours home left unoccupied on average 3 5 hrs incl never value labels unoccday 1 Never 2 Less than 3 hrs 3 8 5 hrs 4 5 plus hrs NO VISITS PUB WINE BAR IN EVENING DURING LAST MONTH recode pubeve 1 1
5. 1 and wrkage2 1 hworkage 1 variable labels hworkage Household reference person of working value labels hworkage 1 Household reference person of working age HRP SEX mHRPick VarRoot Sex NVar NAdults variable labels hrpsex Sex of Household Reference Person value labels hrpsex 1 Male 2 Female HRP MARITAL STATUS mHRPick VarRoot Marst NVar NAdults Compute HRPMar HRPMarst variable labels hrpmar status of Household Reference Person value labels hrpmar 1 Single 2 Married and living with 3 Separated 4 Divorced 5 Widowed mHRPick VarRoot Cohab NVar NAdults variable labels hrpcohab Cohabiting status of Household Reference Person value labels hrpcohab 1 Yes 2 3 SPONTANEOUS ONLY Same sex couple recode HRPMar 1 3 2 1 3 6 4 5 5 4 else Sysmis into HRPMarit if hnrpcohab 1 or hrpcohab 3 hrpmarit 2 variable labels hrpmarit Marital status of Household Reference Person value labels hrpmarit 1 Married 2 Cohabiting 3 Single 4 Widowed 5 Divorced 6 Separated HRP OCCUPATION CODING recode hrpsec2 1 121 1 221 2 1 322 4 3 5 4 6 thru 7 5 8 6 else sysmis into hrpssec5 variable labels hrpssec5 Occupation coding of HRP 5 categories value labels hrpssec5 1 Managerial and professional occs 2 Intermediate occs 3 Small employers and own account workers 4
6. else copy into woundn r2 recode assnoinj O sysmis else copy into asnoij r2 recode comasinj 0 else copy into cominj r2 recode comasni 0 5 else copy into comnij r2 recode violnors O sysmis else copy into violrs r2 recode violnos O sysmis else copy into viols r2 recode violinj2 0 sysmis else copy into vioin2 r2 recode violnoi2 O sysmis else copy into viono2 r2 do repeat r vandal r2 to viono2 r2 if r gt 3 3 end repeat Variable labels vandal r2 Vandalism 80 81 82 83 84 85 86 victimisation in last 12 months mv van r2 Motor vehicle vandalism 81 amp 82 victimisation in last 12 months homeva r2 Other vandalism 80 83 84 85 86 victimisation in last 12 months burgla r2 Burglary 51 52 53 victimisation in last 12 months burgat r2 Burglary attempts 53 victimisation in last 12 months burgno r2 Burglary attempts and no loss 51 amp 53 victimisation in last 12 months burgen r2 Burglary with entry 51 amp 52 victimisation in last 12 months burglo r2 Burglary with loss 52 victimisation in last 12 months theftd r2 Theft from a dwelling 55 victimisation in last 12 months theftf r2 Theft from a motor vehicle 61 amp 63 victimisation in last 12 months thefto r2 Theft of a motor vehicle 60 amp 62 victimisation in last 12 months attmvt r2 Attempted theft of amp from vehicle 71 amp 72 victimisation in last 12 months allmvt r2 All vehicle thef
7. OF CAR THEFT If offence 60 cartheft 1 If offence 62 cartheft 2 variable labels cartheft of car theft car van or motorbike moped value labels cartheft 1 Theft of car van 2 Theft of motorbike moped if offence 60 or offence 62 vehtheft 1 if offence 61 or offence 63 vehtheft 2 If offence 71 or offence 72 vehtheft 3 variable labels vehtheft Vehicle theft of or from or attempts value labels vehtheft 1 Theft of vehicle 2 Theft from vehicle 3 Attempted theft of from vehicle if vehtheft 1 or vehtheft 2 vehtht2 1 If vehtheft 3 vehtht2 2 variable labels vehtht2 Vehicle theft of or from or attempts value labels vehtht2 1 Theft of from vehicle 2 Attempted theft of from vehicle if vehtheft 1 vehtht3 1 If vehtheft 2 vehtht3 2 variable labels vehtht3 Vehicle theft of or from value labels vehtht3 1 Theft of vehicle 2 Theft from vehicle if offence 71 attcar 1 variable labels attcar Attempted theft of from car van value labels attcar 1 Attempted theft of from car van CRIMINAL DAMAGE TO THE HOME Do if whatdama 1 or whatdamb 1 or whatdamc 1 or whatdamd 1 or whatdame 1 or whatdamf 1 or whatdamg 1 Do repeat r hmdmoth homewind homedoor homegraf homesoil homeoth wallgraf wallbrke walloth shedwind sheddoor shedgraf shedsoil shedoth Compute r 0 End repeat End if If whatdama 1 or
8. variable labels livharm2 Whether respondent living in a couple value labels livharm2 1 Living in couple 2 Not living in a couple ADULT CHILD COUNTS recode nadults 1 1 2 thru 1020 else sysmis into nad2 variable labels nad2 One adult household identifier value labels nad2 0 More than one adult in household 1 One adult household recode nchil 0 0 1 thru 1021 else sysmis into nchil2 variable labels nchil2 Children in household identifier value labels nchil2 0 No children in household 1 Children in household HEALTH AND ILLNESS ONS HARMONISED VARIABLE if illness 1 Lillharm 2 if illness 2 Lillharm 1 variable labels Lillharm Disability long standing illness 2 categories value labels Lillharm 1 No long standing illness 2 Long standing illness if illness 2 illz1 JH if illness 1 and limits 2 ill 2 if illness 1 and limits 1 ill 3 variable labels ill Disability long standing illness 3 categories value labels ill 1 disability illness 2 Non limiting disability illness 3 Limiting disability illness recode genhealt 1 thru 5 copy else sysmis into genheal2 variable labels genheal2 Health all categories value labels genheal2 1 Very good 2 Good 3 Fair 4 Poor 5 recode genhealt 1 2 1 3 2 4 5 3 into health2 variable labels health2 Health 3 categories value labels he
9. 2 thru 322 4 thru 523 else sysmis into pub2 variable labels pub2 No visits pub wine bar evening last month value labels pub2 1 None 2 Less than three times a week 3 About three times a week or more often recode pubeve 121 222 3 thru 523 else sysmis into pub3 variable labels pub3 No visits pub wine bar evening last month value labels pub3 1 None 2 Less than once a week Once a week or more often QUALITY OF LIFE AFFECTED BY FEAR OF CRIME recode quallife 1 thru 10 copy else sysmis into quality variable labels quality Quality of life affected by fear of crime cleaned variable recode quallife 1 thru 3 1 4 thru 7 2 8 thru 10 3 into qualgrp variable labels qualgrp Quality of life affected by fear of crime grouped value labels qualgrp 1 Minimal 2 Moderate 3 Great QUALITY OF LIFE AFFECTED BY CRIME recode qualif2 1 thru 10 copy else sysmis into quality2 variable labels quality2 Quality of life affected by crime cleaned variable recode qualif2 1 thru 3 1 4 thru 7 2 8 thru 10 3 into qualgrp2 variable labels qualgrp2 Quality of life affected by crime grouped value lables qualgrp2 1 2 Moderate 3 Great CRIME RATE NATIONAL recode crimuk 1 thru 5 copy else sysmis into crimuk1a variable labels crimuk1a Has level of crime in the country changed in the last 2 years cleaned value labels crimu
10. Instead more reliable information collected on self completion modules at the end of the questionnaire are used to calculate sexual victimisation rates separately see chapter 6 In Home Office analysis it is the offence coded Victim Forms which used to produce the count of crime The use of the Victim Form to count crime has been criticised on two counts The first is that the number of Victim Forms is limited to six per respondent and this places a limit on the number of crimes which can be counted using the Victim Forms Whilst this is true our analysis suggests that the impact on the count is minimal The second criticism is that the Home Office caps series incidents at five in calculating Victim Form based offence rates This was an analytical decision and designed to avoid the risk that a small proportion of cases with extreme values can produce unreliable trend estimates This cap has been applied since the first BCS and has been retained to ensure a consistent methodology is applied which is required for measuring trends over time CHAPTER 3 BCS analysis BCS MAIN MODULES Individual based analyses Individual based analysis is carried out when the intention is to make statements about the characteristics attitudes or experiences of adults in the sample It is important to recognise that statements about the characteristics of victims are not the same as incident based analysis in which statements are made about incidents see
11. pubbar 1 locate1 71 pubbar 2 locate1 72 pubbar 3 locate1 73 pubbar 4 or pubbar 9 locate1 74 disco 1 locate1 13 disco 2 locate1 14 disco 3 locate1 15 disco 4 or disco 9 locate1 16 sportgr 1 locate1 1 7 sportgr 2 locate1 18 sportgr 3 locate1 19 sportgr 4 or sportgr 9 locate1 20 pubent 1 locate1 21 pubent 2 locate1 22 pubent 3 locate1 23 ee if pubent 4 or pubent 9 1 24 if transp 1 locate1 25 if railstat 1 locate1 26 if railstat 2 locate1 27 if railstat 3 locate1 28 if railstat 4 or railstat 9 locate1 29 if transp 3 locate1 30 if tubestat 1 locate1 31 if tubestat 2 locate1 32 if tubestat 3 locate1 33 if tubestat 4 or tubestat 9 locate1 34 if transp 5 locate1 35 if busstop 1 locate1 36 if busstop 2 locate1 37 if Dusstop 3 or busstop 9 locate1 38 if transp 7 locate1 39 if airport 1 locate1 40 if airport 2 locate1 41 if airport 3 or airport 9 locate1 42 if 1 locate1 43 if supmkt 2 locate1 44 if supmkt 3 locate1 45 if supmkt 4 or supmkt 9 locate1 46 if college 1 locate1 47 if college 2 locate1 48 if college 3 locate1 49 if college 4 or college 9 locate1 50 if relfriz1 locate1 55 if 2 locate1 56 if 3 locate1 57 if relfri 4 or relfri 9 locate1 58 if 1 locate1 75 if sportcl 2 locate1 76 i
12. 0 None 1 Yes on some or all recode viewer 1 2 3 1 4 0 into viewer2 variable labels viewer Whether household has security viewer in doors value labels viewer2 0 1 Yes on some or all or windows RECODING WORRY ABOUT CRIME BVPI 121 BURGLARY RECODED recode wburgl 1 2 2 1 3 0 420 else sysmis into bvpiburg2 variable labels bvpiburg2 BVPI 121 worry about being burgled recoded value labels bvpiburg2 2 Very worried 1 Fairly worried 0 Not very not at all BVPI 121 CAR CRIME RECODED recode wcarstol wfromcar 1 2 2 1 3 thru 420 else sysmis into wcarstol3 wfromcar3 compute vehsum3 wcarstol3 wfromcar3 compute newcar 0 if 1 newcar 1 recode newcar 1 1 else sysmis If no car newcar has been set to missing so bvpicar will be missing if no car compute bvpicar2 vehsum3 newcar recode bvpicar2 1 thru 2 1 3 thru 4 2 variable labels bvpicar2 BVPI 121 worry about car crime recoded value labels bvpicar2 2 Very worried 1 Fairly worried 0 Not very not at all BVPI 121 VIOLENT CRIME RECODED recode wmugged wraped wattack wraceatt 1 2 221 320 420 else sysmis into wmugged2 wraped2 wattack2 wraceatt2 variable labels wmugged2 How worried about being mugged and robbed recoded wraped2 How worried about being raped recoded wattack2 How worried about being physically attacked by strangers
13. 20 years or more recode yrsaddr 1 1 222 3 423 5 4 6 7 5 into yrsaddr2 variable labels yrsaddr2 Length of time at address value labels yrsaddr2 1 Less than one year 2 1 2 years 3 2 5 years 4 5 10 years 5 Longer RESPONDENT HRP INDICATOR if nadults 1 or whohrp 1 hrp 1 if whohrp 2 hrp 2 variable labels hrp Household Reference Person Indicator value labels hrp 1 Respondent is HRP 2 Respondent is not HRP HOUSEHOLD INCOME recode tothhin1 1 13 1 2 2 8 3 4 4 5 5 6 7 8 9 10 11 12 6 else sysmis into hhinc6 variable labels hhinc6 Total household income 6 bands value labels hhinc6 1 Under 2 500 2 2 500 4 999 3 5 000 9 999 4 10 000 14 999 5 15 000 19 999 6 20 000 or more recode hhinc6 1 2 1 3 4 2 5 3 6 4 else sysmis into hhinc4 variable labels hhinc4 Total household income 4 bands value labels hhinc4 1 Under 5 000 2 5 000 14 999 3 15 000 19 999 4 20 000 or more recode tothhin1 1 2 3 13 1 4 2 5 3 6 7 4 8 9 10 11 12 5 else sysmis into hhinc5 variable labels hhinc5 Total household income 5 bands value labels hhinc5 1 Under 10 000 2 10 000 14 999 3 15 000 19 999 4 20 000 29 999 5 30 000 or more compute tothhinc 0 recode tothhin1 1 1 2 2 3 3 4 4 5 5 6 7 6 8 9 10 11 7 12 8 13 9 98 98 99 99 else sysmis
14. 45 thru 54 4 55 thru 64 5 65 thru 74 6 75 thru 99 7 else sysmis into agegrp7 variable labels agegrp7 Age group 7 bands value labels agegrp7 1 16 24 2 25 34 3 85 44 4 45 54 5 55 64 6 65 74 7 754 AGE VARIABLES FOR CALIBRATION recode age 0 thru 4 1 5 thru 9 2 10 thru 15 3 16 thru 19 4 20 thru 24 5 25 thru 29 6 30 thru 34 7 35 thru 39 8 40 thru 44 9 45 thru 49 10 50 thru 54 11 55 thru 59 12 60 thru 64 13 65 thru 69 14 70 thru 74215 75 thru 79 16 80 thru 99 17 else sysmis into AgeCalib variable labels AgeCalib Age group 17 bands for calibration value labels AgeCalib 1 0 4 2 5 9 3 10 15 4 16 19 5 20 24 6 25 29 7 30 34 8 35 39 9 40 44 10 45 49 14 50 54 12 55 59 13 60 64 14 65 69 15 70 74 16 75 79 17 80 RESPONDENT OF WORKING AGE RESTRICT ANALYSIS THOSE OF WORKING AGE recode age 16 thru 59 1 into wrkage if Sex 2 and wrkage 1 rworkage 1 recode age 16 thru 64 1 into wrkage if Sex 1 and wrkage 1 rworkage 1 variable labels rworkage Respondent of working age value labels rworkage 1 Respondent of working AGE SEX OF RESPONDENT Compute sexage sex 1 3 agegrp variable labels sexage Age within Sex 3 bands each value labels sexage 1 Male 16 29 2 Male 30 59 3 Male 60 4 Female 16 29 5 Female 30 59 6 Female 60 Compute
15. Coke Rock Stones P Smack H Brown LSD Acid Magic Mushrooms Methadone Physeptone Semeron Tranquillizers Temazepam Valium Poppers Steroids Ketamine Glues Solvents Gas Aerosols 13 CHAPTER 6 Methodological limitations It must be noted that the figures derived from the BCS are estimates As with any sample survey the BCS estimates are subject to sampling error and a range of other methodological limitations SAMPLING ERROR A sample as used in the BCS is a small scale representation of the population from which it is drawn As such the sample may produce estimates that differ from figures that would have been obtained if the whole population had been interviewed The size of the error depends on the size and design of the survey and the size and variability of the estimate It can be computed and used to construct confidence intervals Sampling error is also taken into account in tests of statistical significance Although the BCS is large by the standards of most surveys its estimates will be imprecise particularly for rare crimes such as robbery and serious assault Therefore differences between figures e g between the risk of violence for one group in the population and the risk for another should generally only be reported if they are statistically significant i e take sampling error into account NON RESPONSE As in any voluntary survey the BCS is subject to non response error The BCS has man
16. Lower supervisory and technical occs 5 Semi routine and routine occs 6 Never worked and long term unemployed recode hrpsec2 1 121 1 221 2 1 322 4 3 5 4 6 thru 7 5 8 6 9 7 else sysmis into F JH variable labels hrpssec6 Occupation coding of HRP 5 categories expanded value labels hrpssec6 1 Managerial and professional occs 2 Intermediate occs 3 Small employers and own account workers 4 Lower supervisory and technical occs 5 Semi routine and routine occs 6 Never worked and long term unemployed 7 Not classified 0 2 0 3 1 3 2 3 3 3 4 4 1 4 2 4 3 4 4 5 0 6 0 1 7 1 7 2 7 3 7 4 2 8 1 8 2 9 1 9 2 3 recode hrpsec 1 4 12 1 12 2 12 3 12 4 12 5 12 6 12 7 13 1 13 2 13 3 13 4 13 5 5 14 1 14 2 6 15 0 7 10 0 11 1 11 2 16 0 17 0 8 else sysmis into hrpssec6a variable labels hrpssec6a Occupation coding of HRP 6 categories amp students amp not classified value labels hrpssec6a 1 Managerial and professional occs 2 Intermediate occs 3 Small employers and own account workers 4 Lower supervisory and technical occs 5 Semi routine and routine occs 6 Never worked and long term unemployed 7 Full time students 8 Not classified recode hrpsec2 1 1 1 1 221 2 1 8 THRU 4 2 5 THRU 7 3 8 4 else sysmis into hrpssec3 variable labels hrpssec3 Occupation coding of HRP 3 categories value labels hrpssec3 1 M
17. else copy into alviol recode mugging1 O sysmis else copy into mugg1 recode stealth 0 else copy into stealt recode snatch O sysmis else copy into snatch r recode mug stra O sysmis else copy into mug st recode dom acq 0 else copy into dom ac recode domestic 0 sysmis else copy into domest recode mugging2 0 else copy into mugg2 recode stranger O sysmis else copy into strang r recode acquain 0 else copy into acquai recode violinj O sysmis else copy into vioinj r recode violnoi 02sysmis else copy into vionoi recode persacq O sysmis else copy into peracq recode woundnew 0 else copy into woundn recode assnoinj 0 5 else copy into asnoij recode comasinj 0 else copy into cominj recode comasni 0 sysmis else copy into recode violnors O sysmis else copy into recode violnos 0 else copy into r recode violinj2 O2sysmis else copy into vioin2 recode violnoi2 0 else copy into viono2 do repeat r vandal_r to viono2 if r gt 2 r 2 end repeat Variable labels vandal r Vandalism 80 81 82 83 84 85 86 victimisation in last 12 months mv van r Motor vehicle vandalism 81 amp 82 victimisation in last 12 months homeva r Other vandalism 80 83 84 85 86 victimisation in las
18. if weap1 3 weap2 3 variable labels weap2 Whether offender had weapon excl DK RF value labels weap2 1 Yes 2 information about offender INDIVIDUAL TYPES OF WEAPONS compute glass 0 if whatweaa 1 or whatweab 1 glass 1 variable labels glass Whether used bottle or glass as a weapon compute knife 0 if whatweac 1 knife 1 variable labels knife Whether used knife as a weapon compute stabbing 0 if whatwead 1 stabbing 1 variable labels stabbing Whether used screw driver stabbing implement as a compute hitting 0 if whatweae 1 hitting 1 variable labels hitting Whether used stick club hitting implement as a weapon compute gun 0 if whatweaf 1 or whatweag 1 or whatweah 1 or whatweai 1 gun 1 variable labels gun Whether used gun as a weapon compute syringe 0 if whatweaj 1 syringe 1 variable labels syringe Whether used syringe as a weapon compute stones 0 if whatweak 1 stones 1 variable labels stones Whether used stones bricks concrete as a weapon compute othweap 0 if whatweal 1 othweap 1 variable labels othweap Whether used something else as a weapon compute othweap2 0 if whatweaj 1 or whatweak 1 or whatweal 1 othweap2 1 variable labels othweap2 Whether used syringe stones something else as a weapon Excl DK RF from type of weapon DV if any
19. if whinju2l 1 otherinj 1 Variable labels otherinj Other injuries value labels minbruis sevbruis scratch cuts bones nose brteeth chipped concuss facial eyeacid otherinj 1 Yes did experience 0 did not experience MEDICAL ATTENTION compute firstaid 0 if docatt3a 1 firstaid 1 Variable labels firstaid Medical attention from trained first aider or St John s ambulance compute para 0 if docatt3b 1 para 1 Variable labels para Medical attention from a paramedic compute nurse 0 if docatt3c 1 nurse 1 Variable labels nurse Medical attention from a nurse compute doct 0 if docatt3d 1 doct 1 Variable labels doct Medical attention from a doctor compute dent 0 if docatt3e 1 dent 1 Variable labels dent Medical attention from a dentist compute nomeds 0 if docatt3f 1 nomeds 1 Variable labels nomeds Mo medical attention compute att 0 if firstaid 1 or para 1 or nurse 1 or doct 1 or dent 1 att 1 Variable labels att Some form of medical attention value labels firstaid para nurse doct dent nomeds att 1 Yes medical attention 0 medical attention HOSPITAL STAY compute hosp2 0 if styhos1 1 hosp2 1 Variable labels hosp2 Whether needed to stay in hospital value labels hosp2 1 Yes stayed in hospital 0 did not stay in hospital UNDER THE INFLUENCE OF DRINK DRUGS Variable for alcohol rela
20. into burg1 variable labels burg of burglary loss or 1055 value labels burg1 1 Burglary with loss 2 Attempted burglary or no 1055 recode offence 53 1 51 52 2 into burg2 variable labels burg2 Type of burglary entry or attempt value labels burg2 1 Attempted burglary 2 Burglary with entry OF CRIMINAL DAMAGE recode offence 80 83 84 85 86 1 81 82 2 into VanHomVe variable labels VanHomVe Type of criminal damage home or vehicle value labels VanHomVe 1 Criminal damage to home and property around 2 Criminal damage to vehicle recode vanhomve 1 1 2 0 into filthome recode vanhomve 1 0 2 1 into filtveh variable labels filthome Filter for criminal damage to the home variable labels filtveh Filter for criminal damage to vehicles OF THEFT recode offence 50 5720 55 1 56 2 58 3 65 4 into thefthhd variable labels thefthhd Type of theft value labels thefthhd 0 Attempt burglary to nonconnected gargare outhouse nothing taken 1 Theft in a dwelling 2 Theft from a meter 3 Burglary to nonconnected garage or outhouse something taken 4 Theft outside dwelling Recode offence 43 1 44 2 45 3 into pertheft Variable labels pertheft Type of theft from person Value labels pertheft 1 Snatch theft from Gerson 2 Stealth theft from person Attempted theft from the person
21. into tothhinc variable labels tothhinc Total household income 8 bands amp spontaneous value labels tothhinc 1 Under 2 500 2 2 500 4 999 3 5 000 9 999 4 10 000 14 999 5 15 000 19 999 6 20 000 29 999 7 30 000 49 999 8 50 000 or more 9 spontaneous recode tothhin1 1 2 1 3 2 4 5 3 6 7 4 8 9 10 11 12 5 1326 else 0 into tothhin2 variable labels tothhin2 Total household income 5 bands amp spontaneous value labels tothhin2 1 Under 5 000 2 5 000 9 999 3 10 000 19 999 4 20 000 29 999 5 30 000 or more 6 spontaneous recode tothhin2 6 1 1 2 thru 5 copy else sysmis into tothhin3 variable labels tothhin3 Total household income 5 bands value labels tothhin3 1 Under 5 000 incl spontaneous 2 5 000 9 999 3 10 000 19 999 4 20 000 29 999 5 30 000 or compute tothhin3 0 recode tothhin1 1 thru 3 1 4 5 2 6 7 3 8 9 4 10 11 5 12 6 13 7 else sysmis into tothhin3 variable labels tothhin3 Total household income 6 bands amp spontaneous value labels tothhin3 1 Under 10 000 2 10 000 19 999 3 20 000 29 999 4 30 000 39 999 5 40 000 49 999 6 50 000 or more 7 Nothing No work scheme TENURE ONS HARMONISED VARIABLE if tenure1 1 or tenure1 2 or tenure1 3 tenharm 1 if tenure1 4 or tenure1 5 and rent2 1
22. looking after family home 5 Economically inactive long term temp sick ill 6 Economically inactive retired 7 Economically inactive other recode HLstWeek 1 2 3 4 1 5 2 6 7 8 9 10 11 3 else sysmis into hemploy variable labels hemploy HRP employment status value labels hemploy 1 Employed 2 Unemployed 3 Economically inactive recode HLstWeek 1 2 3 4 1 5 2 6 3 7 4 8 9 5 10 6 11 7 else sysmis into hemploy2 variable labels hemploy2 HRP employment status incl inactive breakdowns value labels hemploy2 1 Employed 2 Unemployed 3 Economically inactive student 4 Economically inactive looking after family home 5 Economically inactive long term temp sick ill 6 Economically inactive retired 7 Economically inactive other EVER WORKED compute reverw jobever if sysmis work reverw 0 recode reverw SYSMIS 1 0 8 9 SYSMIS variable labels reverw Whether respondent ever had a paid job value labels reverw 1 Yes 2 if hnrp 1 heverw jobever if hnrp 2 heverw hrpeverw if sysmis work heverw 0 recode heverw SYSMIS 1 0 8 9 SYSMIS variable labels heverw Whether Household Reference Person ever had paid job value labels heverw 1 Yes 2 EMPLOYMENT CHARACTERISTICS OF THOSE WHO DID PAID OR UNAPID WORK LAST WEEK FULL TIME OR PART TIME WORK if any rlstweek 1 2 3 4 rftpt recode rftpt
23. race1 gt 0 race1 100 if drug1 gt 0 drug1 100 if drunk1 gt 0 drunk1 100 if rubb1 gt 0 rubb1 100 if noisneg1 gt 0 noisneg1 100 if abancar1 gt 0 abancar1 100 variable labels teen1 How much of a problem are teenagers hanging around vandals1 How much of a problem is vandalism graffiti etc race1 How much of a problem is attack because of skin colour drug1 How much of a problem is people using or dealing drugs drunk1 How much of a problem is people being drunk or rowdy rubb1 How much of a problem is litter rubbish noisneg1 How much of a problem are noisy neighbours abancar1 How much of a problem are abandoned or burnt out cars value labels teen1 vandals1 1 drug1 drunk1 rubb1 noisneg1 abancar1 100 Very fairly big problem 0 Not very big not a problem at all if nasb7 It 11 nasb7hi 0 if nasb7 ge 11 nasb7hi 100 variable labels nasb7hi Perceived level of anti social behaviour high low rate value labels nasb7hi 100 High overall ASB Not high overall ASB if witsat2 gt 0 witsat2 100 variable labels witsat2 How satisfied dissatisfied were you with MOST RECENT police contact 2 groups value labels witsat2 100 Satisfied 0 Dissatisfied HOUSEHOLD SECURITY MEASURES MERGED DATA FROM VF AND NVF recode burgalar 1 2 0 into secdeva if burgalar 1 secdeva 1 recode secalarm 1 1 0 0 into secdeva variable labels secdeva Whether property has
24. recode secwbar 1 1 0 0 into secdevg variable labels secdevg Whether property has bars or grills on windows from VF value labels secdevg 1 Has bars or grills on windows recode chains 1 2 3 0 into secdevh if chains 1 OR chains 2 secdevh 1 recode secchain 121 020 into secdevh variable labels secdevh Whether property has door chain from VF and NVF value labels secdevh 1 Has door chain Excluding dummy alarms compute seccount secdeva secdevc secdevd secdeve secdevi secdevg secdevh variable labels seccount Number of home security devices from VF and NVF recode seccount 0 thru 4 5 thru 7 5 into secnum variable labels secnum Grouped number of home security devices from VF and NVF value labels secnum 1 One security device 2 Two security devices 3 Three security devices 4 Four security devices 5 Five or more security devices CREATING HIGH LOW AND NO SECURITY VARIABLE if secdeva 1 or secdeva 0 highsec 3 if secdevc 1 or secdevf 1 or secdevh 1 highsec 2 if secdeva 1 or secdevd 1 or secdeve 1 or secdevg 1 highsec 1 variable labels highsec Level of home security value labels highsec 1 High security 2 Low security 3 security APPENDIX E Home Office derived variables for the 2006 07 BCS victim form datafile RECODING OFFENCES OF BURGLARY recode offence 52 1 51 53 2
25. recoded wraceatt2 How worried about being attacked because of skin colour recoded value labels wmugged2 wraped2 wattack2 wraceatt2 2 Very worried 1 Fairly worried 0 Not worried compute bvpiviol2 wmugged2 wraped2 wattack2 wraceatt2 recode bvpiviol2 1 thru 3 1 4 thru 8 2 variable labels bvpiviol2 BVPI 121 worry about violent crime recoded value labels bvpiviol2 2 worried 1 Fairly worried Not worried Add an indicator for the Youngs Persons group 16 24 RECODE AgeCalib 4 1 5 1 SYSMIS SYSMIS ELSE 0 INTO YPSample VARIABLE LABELS YPSample Young Person aged 16 to 24 Value Labels YPSample 0 Other Ages 1 16 24 Compute the number of persons in the Household Compute HHMcount nadults nchil Var Labels hhmcount Number of members of the household Derive Incidence and Prevalence variables for events in the target period Computing two new overall variables which enable an estimate of variance for total crime number estimates to produce CSEs and confidence intervals around total crime estimate The variables should not be used to estimate total crime however as individually they severely over underestimate crime compute allcrmha totalhh nadults totperls compute allcrmah totperls nadults totalhh variable labels allcrmha all crimes based on converting households into adults variable labels allcrmah all crimes based on
26. threavio 1 or v711 1 or useforce 1 or v710 1 throrfor 1 if threavio 2 and useforce 2 throrfor 2 variable labels throrfor Whether force or violence threatened used value labels throrfor 1 Yes threat use of force violence 2 No threat use of force violence COST OF DAMAGE Sets damage or replacement cost to zero if no damage to property do if defaprop 2 or defaprop 9 compute totdamgp 0 compute totdamgp2 0 compute totdamgp3 0 do if stolitem 2 or stolitem 9 compute valveh2 0 compute othvalvh2 0 compute totvalue2 0 end if recode totdamag 0 0 1 thru 49 1 50 thru 99 2 100 thru 249 3 250 thru 499 4 500 thru 999 5 1000 thru 4999 6 5000 thru 50000 7 into totdamgp variable labels totdamgp Grouped cost of damage 7 groups value labels totdamgp 0 0 1 1 49 2 50 99 3 100 249 4 250 499 5 500 999 6 1 000 4 999 7 5 000 50 000 recode totdamag 0 0 1 thru 49 1 50 thru 99 2 100 thru 249 3 250 thru 499 4 500 thru 999 5 1000 thru 4999 6 5000 thru 99997 7 into totdamgp3 variable labels totdamgp3 Grouped cost of damage 7 groups including maximum value labels totdamgp3 0 0 1 1 49 2 50 99 3 100 249 4 250 499 5 500 999 6 1 000 4 999 7 than 5 000 recode totdamag valveh othvalvh totvalue 1 thru 49 1 50 thru 99 2 100 thru 499 3 500 t
27. variable labels deadx Whether household has double locks deadlocks value labels deadx 0 1 Yes on some or all recode timliout 121 220 into timox variable labels timox Whether household has outdoor lights on timer value labels timox 0 1 Yes recode timliin 1 1 2 0 into timix variable labels timix Whether household has indoor lights on timer value labels timix 0 1 Yes if timliin 2 or timliout 2 lights 0 if timliin 1 or timliout 1 lights 1 variable labels lights Whether household has indoor outdoor lights on timer value labels lights 0 1 5 recode windlock 1 2 3 1 420 into windlx variable labels windlx Whether household has window locks value labels windlx 0 None 1 Yes on some or all recode bargrill 1 221 320 into barx variable labels barx Whether household has window bars grilles value labels barx 0 None 1 Yes on some or all recode bardoor 1 2 3 1 420 into bardoorx variable labels bardoorx Whether household has door bars grilles value labels bardoorx 0 None 1 Yes at front and or back recode chains 1 2 1 320 into chainx variable labels chainx Whether household has door chains bars value labels chainx 0 None 1 Yes on some or all recode viewer 1 2 1 3 420 into viewer1 variable labels viewer Whether household has security viewer in doors value labels viewer
28. victimisation in last 12 months viono2_r Violence without injury no snatch theft victimisation in last 12 months value labels vandal_r to viono2_r 1 2 Twice or more recode vandalis O sysmis else copy into vandal r2 recode mv vand O sysmis else copy into mv van r2 recode homevand 0 else copy into homeva r2 recode burglar 0 sysmis else copy into burgla r2 recode burgatts 0 else copy into burgat r2 recode burgatno O sysmis else copy into burgno r2 recode burgentr 0 sysmis else copy into burgen r2 recode burgloss 02sysmis else copy into burglo r2 recode theftdwe 0 else copy into theftd r2 recode theftfmv 02sysmis else copy into theftf r2 recode theftomv 0 else copy into thefto r2 recode attmvthf O2sysmis else copy into attmvt r2 recode allmvthf 02sysmis else copy into allmvt r2 recode allmvcri 0 else copy into allmvc r2 recode bikethef O sysmis else copy into biketh r2 recode othhhctd O sysmis else copy into othhhc r2 recode tohhcltd 02sysmis else copy into tohhcl r2 recode totalhh O sysmis else copy into totalh r2 recode acquisit 02sysmis else copy into acquis r2 recode hhldacq 02sysmis else copy into hhacq r2 recode sexoffen O sysmis else copy into sexoff r2 recode commonas 0 sysmis else copy into common r2 recode wounding O sysmis else copy
29. wellknow 1 relate2 3 variable labels relate2 Single offender relationship to victim value labels relate2 1 Strangers 2 Casual 3 Knew well Multiple offenders Strangers if seenoff 2 relate3 1 if Knewoff 3 and sceenoff 2 relate3 1 if Knewoff 4 and sceenoff 2 relate3 1 Known casually if howknowa 1 or howknowb 1 and howknowc 0 relate3 2 Known well if howknowc 1 relate3 3 variable labels relate3 Multiple offender relationship to victim value labels relate3 1 Strangers 2 Casual 3 Knew well Adding multiple offender variable into single offender variable if relate3 1 relate2 1 if relate3 2 relate2 2 if relate3 3 relate2 3 Setting up the relate variable 1 amp any v78 2 8 9 amp any descroff 2 8 9 relate 1 vftype 1 amp any knewoff1 2 3 4 5 6 7 8 9 amp any seenoff1 2 3 4 5 6 7 8 9 elate 1 vftype 1 amp any knewoff 3 4 5 6 7 8 9 amp any seenoff 2 3 4 5 6 7 8 9 relate 1 vftype 2 amp any v78 2 8 9 relate 1 vftype 2 amp wellknow 4 relate 1 vftype 1 amp any howknow1 1 2 relate 2 vftype 1 amp howknowa 1 or howknowb 1 relate 2 vftype 2 amp any wellknow 2 3 relate 2 vftype 1 amp howknow1 23 relate 3 vftype 1 amp howknowc 1 relate 3 if vftype 2 amp wellknow 1 relate 3 recode relate 0 variable labels relate How well victim knew offe
30. 1 3 2 3 3 3 4 4 1 4 2 4 3 4 4 5 0 6 0 1 7 1 7 2 7 3 7 4 8 1 8 2 9 1 9 2 2 10 0 11 1 11 2 12 1 12 2 12 3 12 4 12 5 12 6 12 7 13 1 13 2 13 3 13 4 13 5 3 14 1 14 2 4 15 055 16 0 17 0 6 else sysmis into rnssec4a variable labels rnssec4a Occupation coding of Respondent 3 categories amp students amp not classified value labels rnssec4a 1 Managerial and professional occs 2 Intermediate occs 3 Routine and manual occs 4 Never worked and long term unemployed 5 Full time students 6 Not classified RESPONDENT MARITAL STATUS recode marst 1 3 2 1 3 6 4 5 5 4 else sysmis into marital if cohab 1 or cohab 3 marital 2 variable labels marital Respondent Marital status value labels marital 1 Married 2 Cohabiting 3 Single 4 Widowed 5 Divorced 6 Separated recode marital 1 2 21 322 4 3 5 thru 6 4 else sysmis into margrp variable labels margrp Respondent de facto marital status value labels margrp 1 Married or de facto 2 Single 3 Widowed 4 Separated or divorced ONS HARMONISED MARITAL VARIABLES recode marst 1 3 2 1 3 4 4 5 5 6 else sysmis into livnarm1 if cohab 1 or cohab 3 livnarm1 2 variable labels livharm1 ONG harmonised marital status value labels livharm1 1 Married 2 Cohabiting 3 Single 4 Separated 5 Divorced 6 Widowed recode livharm1 1 2 1 3 4 5 6 2 else sysmis into livharm2
31. 5 Therefore if someone reports 10 incidents in a series only 5 are counted see chapter 2 e The hierarchical data held on the Victim Form is then collapsed into a flattened form as follows The number of incidents of different offence types experienced by the household or respondent are counted For example each household respondent will have a count of burglary codes a count of common assault codes and so on For each household respondent the number of incidents of the specified offence type across all their Victim Forms is summed This gives the total number of incidents for each offence type experienced by that household or respondent e The rates can then be calculated on the basis of adults households or incidents For personal offences the weight variable indivwgt is used and for household offences the weight variable hhdwgt is used As well as looking at rates for the whole sample it is possible to examine rates for different sub samples For example in examining the risks of vehicle related offences the sample is usually restricted to vehicle owning households Similarly rates of bicycle theft are often given just for bicycle owning households Moreover in examining rates separately for households or individuals with different characteristics the BCS has shown how the risks of victimisation vary across the population The BCS is able to provide a robust and consistent measure of the general experience of violence in Engl
32. 8 9 SYSMIS variable labels rftpt Respondent working full time or part time value labels rftpt 1 Full time 2 Part time if hrp21 and any hlstweek 1 2 3 4 hftprt ftpt if hrp22 and any hlstweek 1 2 3 4 hftprt hftpt recode hftprt 8 9 SYSMIS variable labels hftprt HRP working full time or part time value labels hftprt 1 Full time 2 Part time SELF EMPLOYED OR EMPLOYEE if any rlstweek 1 2 3 4 rselfemp selfemp recode rselfemp 8 9 SYSMIS variable labels rselfemp Respondent working as employee or self employed value labels rselfemp 1 Employee 2 Self employed if hrp21 and any hlstweek 1 2 3 4 hselfemp selfemp if hrp 2 and any hlstweek 1 2 3 4 hselfemp hrpself recode hselfemp 8 9 SYSMIS variable labels hselfemp HRP working as employee or self employed value labels hselfemp 1 Employee 2 Self employed EMPLOYEE STATUS if any rlstweek 1 2 3 4 rmpstat manage recode rmpstat 8 9 SYSMIS variable labels rmpstat Respondent managerial status value labels rmpstat 1 Manager 2 Foreman supervisor 3 manager supervisor if hrp21 and any hlstweek 1 2 3 4 hmpstat manage if hrp22 and any hlstweek 1 2 3 4 hmpstat hmanage recode hmpstat 8 9 SYSMIS variable labels hmpstat HRP managerial status value labels hmpstat 1 Manager 2 Foreman supervisor 3 Not manager supervisor NUMBER O
33. RT Ee ane 18 APPENDIX WE 19 RE 20 APPENDIX EE 22 APPENDIX E 32 APPENDIX 73 CHAPTER 1 Background to the BCS The British Crime Survey BCS is a well established study and one of the largest social research surveys conducted in England and Wales The BCS asks adults aged 16 and over in private households about their experiences of criminal victimisation in the previous 12 months regardless of whether or not they reported the incident to the police Respondents are asked about their household s experiences of property crimes such as vehicle related thefts and burglary and their own experience of personal crimes such as assaults As well as providing estimates of victimisation the BCS collects extensive information about victims of crime the circumstances in which incidents occur and the behaviour of offenders in committing crimes In this way the survey provides information to inform crime reduction measures and to gauge their effectiveness Although there have been changes to the design of the survey over time the wording of the questions that are asked to elicit victimisation experiences have been held constant throughout the life of the BCS therefore it is the best guide to long term trends The BCS also provides data on matters such a
34. all 16 59 year olds Within some modules there is often further filtering so that some questions are only asked of even smaller sub samples The precise modules asked on the survey vary from year to year as do the exact modules asked of the core and boost samples More information about the questionnaire structure and content can be found in the technical reports which are available for each survey year http www homeoffice gov uk rds pdfs07 bcs0607tech1 pdf There are two stages to the questionnaire for measuring experiences of victimisation First respondents are asked a series of screener questions on the main part of the questionnaire to assess if they have been a victim of crime For each type of incident respondents are asked how Lynn P and Elliot D 2000 The British Crime Survey A review of methodology London National Centre for Social Research many times they experienced that type of incident in the reference period If they experienced such an incident on more than one occasion during the period and they regard all the incidents as very similar where the same thing was done under the same circumstances and probably by the same people then the incidents are known as series incidents The wording of the screener questions has been kept consistent since the BCS began to ensure comparability across the surveys They are designed to ensure that all incidents of crime within scope of the BCS including relatively mino
35. burglar alarm from VF value labels secdeva 1 Has burglar alarm if ndummy 1 or ndummy 2 or burgalar 1 secdevb 0 if ndummy 1 secdevb 1 recode secdumm 1 1 0 0 into secdevb variable labels secdevb Whether property has dummy alarm from VF and value labels secdevb 1 Has dummy alarm recode deadlock 1 2 3 0 into secdevc if deadlock 1 or deadlock 2 secdevc 1 recode secdead 1 1 0 0 into secdevc variable labels secdevc Whether property has deadlocks from VF and NVF value labels secdevc 1 Has deadlocks recode timliout 1 2 0 into secdevd if timliout 1 secdevd 1 recode secoutlt 1 1 020 into secdevd variable labels secdevd Whether property has outside lights from VF and NVF value labels secdevd 1 Has outside lights recode timliin 1 220 into secdeve if timliin 2 1 secdeve 1 recode secinlit 121 020 into secdeve variable labels secdeve Whether property has inside security lights from VF and NVF value labels secdeve 1 Has inside security lights recode windlock 1 2 3 4 0 into secdevf if windlock 1 or windlock 2 or windlock 3 secdevf 1 recode secwin 121 020 into secdevf variable labels secdevf Whether property has window locks from VF and NVF value labels secdevf 1 Has window locks recode bargrill 1 2 3 0 into secdevg if bargrill 1 or bargrill 2 secdevg 1
36. code For incident based analysis only those incidents which occurred within England and Wales should be retained OFFENCE CODES All incidents reported in the victim forms are assigned an offence code However not all incidents are included in the analyses conducted by Home Office researchers Incidents that occur outside England amp Wales are excluded so are duplicate incidents and those committed by a policeman or woman on duty The Coding guidance can be found in the technical reports which are available for each survey year http Awww homeoffice gov uk rds pdfs07 bcs0607tech1 pdf VARIABLE NAMES BCS variable names can be found in the technical report alongside the question to which they refer In the 1984 1988 and 1992 BCS variable names are the question numbers prefixed by a letter to indicate which part of the questionnaire it refers to So variables on the Main are prefixed M those on the Victim Form V those on the demographic D and those on the Self Completion SC Variables on the 1982 data set have names Further details are available in the technical reports for each BCS survey year http www homeoffice gov uk rds pdfs07 bcs0607tech1 pdf Respondents are randomly assigned to one of four part sample modules A B C or D These have previously been referred to as follow up modules MULTIPLE RESPONSE VARIABLES Multiple response variables are those questions which permit respondents to choose more than o
37. cover the experiences of those aged under 16 The BCS has grown significantly in response to local level analysis requirements The core sample size has increased from around 11 000 in the earlier cycles to around 47 000 in 2006 07 In addition to this the BCS interviews a boost sample of 2 000 young adults 16 to 24 year olds who are identified through screening at the core addresses Up until the 2007 08 BCS the survey incorporated a boost sample of non white respondents For more information about when the boost samples were included on the BCS see Appendix A Following a methodological review significant changes were made to the design of the BCS in 2001 The two main changes introduced at this time were an increase in the sample size and a move to continuous fieldwork The move to continuous data collection was also associated with a change in the survey reference period with respondents being asked about events that had taken place in the last full 12 months from the date of interview Prior to this respondents had been asked about events that had taken place in the last calendar year For example the 2000 BCS asked about experiences of crime from 1st January 1999 to the date of the interview In 2004 05 the sample size of the BCS was increased to approximately 46 000 interviews per year with a minimum of 1 000 interviews in each of the 42 Police Force Areas PFA to provide more precise estimates at that level Since 1992 the Small U
38. in the latest technical report http www homeoffice gov uk rds pdfs07 bcs0607tech1 pdf and those produced by Home Office analysts From 2006 07 the derived variables produced by Home Office analysts have been included on the datasets so researchers can replicate the analysis produced in various publications For more information on derived variables see Appendices D and E DON T KNOW amp REFUSAL CODES Respondents are not usually explicitly given the options don t know or refusal However for every question respondents may say they do not know or refuse to answer and these are valid responses The code for don t know is 9 for code frames up to 7 99 for code frames up to 97 and so on The code for refusal is 8 98 and so on Prior to the 1994 BCS the reverse holds 9 99 and so on denote refusals or question not completed in error 8 98 and so on denote don t knows In most Home Office analysis refusal codes are excluded Don t know codes are also usually excluded unless there is interest in these responses for example in the case of attitudinal questions BASE NUMBER The number of cases upon which analysis is based is important as it influences the precision standard error of the estimates The Home Office does not generally publish estimates based on less than 50 cases SIGNIFICANCE TESTS Because BCS estimates are subject to sampling error differences between e
39. incident based analysis This is because a victim can experience more than one incident ALL INDIVIDUAL BASED ANALYSIS SHOULD BE WEIGHTED BY INDIVWGT WEIGHTA PRIOR TO 1996 SURVEY Household based analyses Household based analysis is carried out when the intention is to make statements about the characteristics or experiences of households in the sample Again the characteristics of the households are not the same as incident based analysis in which statements are made about incidents as a household can experience more than one incident The most common type of household based analysis is analysis in which statements are made about households who were victims of household crimes ALL HOUSEHOLD BASED ANALYSIS SHOULD BE WEIGHTED BY HHDWGT WEIGHTB PRIOR TO 1996 SURVEY Incident based analysis victim form analysis This comprises analyses where the intention is to make statements about the nature of incidents of crime using the information collected on the Victim Form Incident based analysis usually examines the nature of specific offence types or compares different types of offence ALL INCIDENT BASED ANALYSIS SHOULD BE WEIGHTED BY WEIGHTI Rates based analysis incidence rates and prevalence rates The Home Office produces four BCS measures of the extent of crime in England and Wales gt Incident rates give the number of crimes experienced per 10 000 households or adults Rates of household offences are based on mean numbers of incidents
40. into wound r2 recode robbery 02sysmis else copy into robber r2 recode theftper 0 sysmis else copy into theftp r2 recode thfp rob 0 sysmis else copy into thfp r r2 recode compvio O sysmis else copy into compvi r2 recode othpthef O sysmis else copy into othpth r2 recode topthcls 0 else copy into topthc r2 recode totalper O sysmis else copy into totalp r2 recode totperls O sysmis else copy into totper r2 recode allassau 0 else copy into allass r2 recode violence O sysmis else copy into violen r2 recode threats 0 else copy into threat r2 recode totalbcs 0 else copy into totalb r2 recode allviol 0 else copy into alviol r2 recode mugging1 O sysmis else copy into mugg1 r2 recode stealth 0 sysmis else copy into stealt r2 recode snatch O sysmis else copy into snatch 2 recode mug stra O sysmis else copy into mug st r2 recode dom acq 0 else copy into dom ac r2 recode domestic 0 else copy into domest r2 recode mugging2 O sysmis else copy into mugg2 2 recode stranger O sysmis else copy into strang r2 recode acquain O sysmis else copy into acquai r2 recode violinj 02sysmis else copy into vioinj r2 violnoi 02sysmis else copy into vionoi r2 recode persacq O sysmis else copy into peracq r2 recode woundnew 0
41. per 10 000 households and personal offences are based on mean numbers of incidents per 10 000 adults Incident rates can be grossed up by population figures to give the total number of crimes in England and Wales for a particular BCS year gt Prevalence rates also known as risks give the percentage of households or adults in the sample who were the victim of an offence once or more during the recall period Unlike incidence rates prevalence rates take no account of the number of victimisations experienced It simply divides people into victims and non victims and describes the risk of being a victim of crime gt Crime count The total number of BCS crimes calculated by applying the incident rates to population figures gt Numbers of victims The total number of victims calculated by applying the prevalence rates to population figures Rates analysis is essentially a household or individual based analysis as the aim is to make statements about the number of incidents of crime per household adult or the proportion of households adults victimised Rates based analysis is the most complicated type of analysis carried out The general logic is outlined below e The number of incidents each Victim Form refers to is calculated In the case of single incident Victim Forms this is simply 1 For series incidents this is the total number of incidents in the series e For series incidents the number of incidents is capped at
42. personal including sex offences 11 12 13 21 31 32 33 34 35 41 42 43 44 45 67 73 prevalence in last 12 months totper p personal not including sex offences 11 12 13 21 32 33 41 42 43 44 45 67 73 prevalence in last 12 months allass p All assault 11 12 13 21 32 33 prevalence in last 12 months violen p Robbery and wounding 11 12 32 33 41 42 prevalence in last 12 months threat p Threats 91 92 93 94 prevalence in last 12 months totalb p Total BCS crime without sex offences 11 12 13 21 32 33 41 42 43 44 45 50 51 52 53 55 56 57 58 60 61 62 63 64 65 67 71 72 73 80 81 82 83 84 85 86 prevalence in last 12 months alviol p All BCS violence 11 12 13 21 32 33 41 42 43 prevalence in last 12 months mugg1 p Mugging 41 42 43 prevalence in last 12 months stealt p Stealth theft from person 44 45 prevalence in last 12 months snatch p Snatch theft from person 43 prevalence in last 12 months mug st p Mugging and stranger violence Violgrp2 or prevalence in last 12 months dom ac p Domestic and acquaintance Violgrp1 or 4 prevalence in last 12 months domest p Domestic violence Violgrp1 prevalence in last 12 months mugg2 p Mugging Violgrp2 prevalence in last 12 months strang p Stranger Violgrp3 prevalence in last 12 months acquai p Acquaintance Violgrp4 prevalence in last 12 months vioinj p Violence with injury prevalence in last 12 months vionoi p Violence without injury prevalence in last 12 mont
43. prevalence last 12 months recode sexoffen 020 sysmis 0 else 100 into sexoff p recode commonas 0 0 sysmis 0 else 100 into common p recode wounding 0 0 sysmis 0 else 100 into wound p recode robbery 0 0 sysmis 0 else 100 into p recode theftper 020 sysmis 0 recode thfp rob 020 sysmis 0 recode compvio 0 0 sysmis 0 else 100 into compvi p recode othpthef 0 0 sysmis 0 else 100 into othpth p recode topthcls 0 0 sysmis 0 else 100 into topthc p recode totalper 0 0 sysmis 0 else 100 into totalp p recode totperls 020 sysmis 0 else 100 into totper p recode allassau 0 0 sysmis 0 else 100 into allass p recode violence 020 sysmis 0 else 100 into violen p recode threats 020 5 5 0 else 100 into threat p recode totalbcs 0 0 sysmis 0 else 100 into totalb p recode allviol 0 Se sysmis 0 else 100 into alviol_p mugging1 0 0 sysmis 0 else 100 into mugg1_p else 100 into theftp_p else 100 into thfp r_p 5 recode stealth 0 0 sysmis 0 else 100 into stealt_p recode snatch 0 0 sysmis 0 else 100 into snatch_p recode mug_stra 0 0 sysmis 0 else 100 into mug_st_p recode dom_acq 0 0 sysmis 0 else 100 into dom_ac_p recode domestic 0 0 sysmis 0 else 100 into domest_p recode mugging2 0 0 sysmis 0 else 100 into mugg2_p recode stranger 0 0 sysmis 0 else 100 into strang_p
44. recode acquain 0 0 sysmis 0 else 100 into acquai_p recode violinj 0 0 sysmis 0 else 100 into vioinj_p recode violnoi 0 0 sysmis 0 else 100 into vionoi p recode persacq 020 sysmis 0 else 100 into peracq p recode allvalc 020 sysmis 0 else 100 into alvalc p recode woundnew 0 0 sysmis 0 else 100 into woundn p recode assnoinj 020 sysmis 0 else 100 into asnoij p recode comasinj 020 sysmis 0 else 100 into cominj p recode comasni 0 0 sysmis 0 else 100 into comnij p recode violnors 0 0 sysmis 0 else 100 into violrs p recode violnos 0 0 sysmis 0 else 100 into viols p recode violinj2 020 sysmis 0 else 100 into vioin2 p recode violnoi2 020 sysmis 0 else 100 into viono2 p Ser T Variable labels sexoff p Sexual offences 31 34 amp 35 prevalence in last 12 months common p Common assault 13 21 prevalence in last 12 months wound p Wounding 11 12 32 33 prevalence in last 12 months robber p Robbery 41 42 prevalence in last 12 months theftp p Theft from person 43 44 45 prevalence in last 12 months thfp r p Theft from person amp robbery 41 42 43 44 45 prevalence in last 12 months compvi p comparative violence 13 21 11 12 32 33 41 42 prevalence in last 12 months othpth_p Other theft of personal property 67 73 prevalence in last 12 months topthc_p Comparable personal 11 12 32 33 41 42 43 44 45 prevalence in last 12 months totalp p All
45. thru 4 0 else sysmis into poorhou2 compute incscale SUM 3 vandals2 rubbish2 poorhou2 variable labels incscale Interviewer rated incivility scale recode incscale 0 thru 1 0 2 thru 3 1 into incivgrp variable labels incivgrp Interviewer rated incivility scale grouped value labels incivgrp 1 High INCIVILITY SCALE FROM THE RESPONDENT S POINT OF VIEW recode teenhang 1 22 2 1 3 thru 4 0 else sysmis into teen3 recode vandals 1 22 2 1 3 thru 420 else sysmis into vandal3 recode druguse 1 22 2 1 3 thru 420 else sysmis into druguse3 compute incscal1 SUM 3 teen3 vandal3 druguse3 variable labels incscal1 Respondent rated incivility scale recode incscal1 0 thru 320 4 thru 6 1 into resinciv variable labels resinciv Respondent rated incivility scale grouped value labels resinciv 0 1 High PFA LONDON NOT LONDON recode 1 1 2 thru 42 2 else sysmis into indlon variable labels indlon London or outside London pfa value labels indlon 1 London 2 Outside London GROUPED GOR recode gor 1 2 3 1 4 5 2 8 9 3 6 4 7 5 1026 else Sysmis into gor6 variable labels gor6 Government Office Region Grouped value labels gor6 1 North 2 Midlands 3 South 4 5 London 6 Wales recode gor 1 2 3 4 5 6 7 8 9 1 else sysmis into engtot variable labels engtot for England
46. van 72 attempted theft of from motorcycle all vehicle thefts allmvthf 60 Theft of car van 61 Theft from car van 62 Theft of motorbike motorscooter or moped 22 63 theft from motorbike motorscooter or moped 71 attempted theft of from car van 72 attempted theft of from motorcycle all vehicle crime allmvcri 60 Theft of car van 61 Theft from car van 62 Theft of motorbike motorscooter or moped 63 theft from motorbike motorscooter or moped 71 attempted theft of from car van 72 attempted theft of from motorcycle 81 Criminal damage to a motor vehicle 20 or under 82 Criminal damage to a motor vehicle over 20 bicycle theft bikethef 64 theft of pedal cycle other household theft othhhctd 50 attempted burglary to non connected domestic garage outhouse 55 theft in a dwelling 56 theft from a meter 57 burglary from non connected domestic garage outhouse nothing taken 58 burglary from non connected domestic garage outhouse something taken 65 Theft from outside dwelling excl theft of milk bottles comparable household crime tohhcltd 51 burglary in a dwelling nothing taken 52 burglary in a dwelling something taken 53 attempted burglary in a dwelling 60 Theft of car van 61 Theft from car van 62 Theft of motorbike motorscooter or moped 63 theft from motorbike motorscooter or moped 64 theft of pedal cycle 71 attempted theft of from car van 72 attempted theft of from motorcycle 80 Arson 81 C
47. victimisation in last 12 months sexoff r Sexual offences 31 34 amp 35 victimisation in last 12 months common r Common assault 13 21 victimisation in last 12 months wound r Wounding 11 12 32 33 victimisation in last 12 months Robbery 41 42 victimisation in last 12 months theftp_r Theft from person 43 44 45 victimisation in last 12 months thfp r r Theft from person amp robbery 41 42 43 44 45 victimisation in last 12 months compvi_r comparative violence 13 21 11 12 32 33 41 42 victimisation in last 12 months othpth_r Other theft of personal property 67 73 victimisation in last 12 months topthc_r Comparable personal 11 12 32 33 41 42 43 44 45 victimisation in last 12 months totalp_r All personal including sex offences 11 12 13 21 31 32 33 34 35 41 42 43 44 45 67 73 victimisation in last 12 months totper_r All personal not including sex offences 11 12 13 21 32 33 41 42 43 44 45 67 73 victimisation in last 12 months allass r All assault 11 12 13 21 32 33 victimisation in last 12 months violen r Robbery wounding 11 12 32 33 41 42 victimisation in last 12 months threat Threats 91 92 93 94 victimisation in last 12 months totalb r Total BCS crime without sex offences 11 12 13 21 32 33 41 42 43 44 45 50 51 52 53 55 56 57 58 60 61 62 63 64 65 67 71 72 73 80 81 82 83 84 8 5 86 victimisation in last 12 months alviol BCS violence 11 12 13 21 32 33 41 42 43 vi
48. violence 13 21 11 12 32 33 41 42 incidence in last 12 months othpth i Other theft of personal property 67 73 incidence in last 12 months topthc i Comparable personal 11 12 32 33 41 42 43 44 45 incidence in last 12 months totalp i All personal including sex offences 11 12 13 21 31 32 33 34 35 41 42 43 44 45 67 73 incidence in last 12 months totper i All personal not including sex offences 11 12 13 21 32 33 41 42 43 44 45 67 73 incidence in last 12 months allass i All assault 11 12 13 21 32 33 incidence in last 12 months violen i Robbery and wounding 11 12 32 33 41 42 incidence in last 12 months threat i Threats 91 92 93 94 incidence in last 12 months totalb i Total BCS crime without sex offences 11 12 13 21 32 33 41 42 43 44 45 50 51 52 53 55 56 57 58 60 61 62 63 64 65 67 71 72 73 80 81 82 83 84 8 5 86 incidence in last 12 months alviol i All BCS violence 11 12 13 21 32 33 41 42 43 incidence in last 12 months mugg1 i Mugging 41 42 43 incidence in last 12 months stealt i Stealth theft from person 44 45 incidence in last 12 months snatch i Snatch theft from person 43 incidence in last 12 months st i Mugging and stranger violence Violgrp2 or 3 incidence in last 12 months dom ac i Domestic and acquaintance Violgrp1 or 4 incidence in last 12 months domest i Domestic violence Violgrp1 incidence in last 12 months mugg2 i Mugging Violgrp2 incidence in last 12 months strang i Stra
49. 1 if acctyp 1 accharm1 1 if acctyp 2 accharm1 2 if acctyp 3 OR acctyp 4 accharm1 3 if acctyp 5 accharm1 4 if acctyp 6 accharm1 5 if acctyp 7 OR acctyp 8 accharm1 6 if acctyp 9 OR acctyp 10 accharm1 7 variable labels accharm1 ONS harmonised accomodation type 7 categories value labels accharm1 1 Detached house 2 Semi detached house 3 Terraced house 4 Maisonette 5 Purpose built flat 6 Converted 7 Other accommodation Creating accharm2 if any acctyp 1 2 3 4 accharm2 1 if any acctyp 5 6 7 8 accharm2 2 if acctyp 10 or acctyp 9 accharm2 3 variable labels accharm2 ONS harmonised accommodation type 3 categories value labels accharm2 1 House 2 Flat maisonette bedsit 3 Other accommodation Creating accharm3 if accharm121 accharm3 1 if accharm1 2 accharm3 2 if accharm1 3 accharm3 3 if accharm1 4 or accharm1 5 or accharm1 6 accharm3 4 if accharm1 7 accharm3 5 variable labels accharm3 ONS harmonised accomodation type 5 categories value labels accharm3 1 Detached house 2 Semi detached house 3 Terraced house 4 Flats maisonettes 5 Other accommodation INCIVILITY SCALE FROM THE INTERVIEWER POINT OF VIEW recode rubbcomm 1 thru 2 1 3 thru 4 0 else sysmis into rubbish2 recode vandcomm 1 thru 2 1 3 thru 4 0 else sysmis into vandals2 recode poorhou 1 thru 2 1 3
50. 1 2 3 4 hemp100 remp100 if hrp22 and any hlstweek 1 2 3 4 hemp100 hsnemp2 if hrp22 and any hemp100 2 3 4 5 6 7 9 hemp100 2 recode hemp100 8 SYSMIS variable labels hemp100 Whether HRP employs people or not value labels hemp100 1 No employees 2 With employees SELF EMPLOYED NUMBER OF PEOPLE EMPLOYED This variable has changed from Jun 06 due to change of variable names if any rlstweek 1 2 3 4 rnemp snemp2 if 1 rnemp 0 if r nnempz2 or rnemp 3 rnemp 1 if r nemp 4 or rnemp 5 rnemp 2 if nemp 6 or rnemp 7 rnemp 3 if nemp 9 rnemp 0 recode rnemp 0 8 SYSMIS variable labels rnemp Number of people employed by respondent value labels rnemp 1 Less than 25 2 25 499 3 Over 500 hrp 1 and any hlstweek 1 2 3 4 hnemp rnemp hrp 2 and hsnemp2 1 and any hlstweek 1 2 3 4 hnemp 0 hrp 2 and hsnemp2 2 or hsnemp2 3 and any histweek 1 2 3 4 hnemp 1 hrp 2 and hsnemp2 4 or hsnemp2 5 and any hlstweek 1 2 3 4 hnemp 2 hrp 2 and hsnemp2 6 or hsnemp2 7 and any hlstweek 1 2 3 4 hnemp 3 hrp 2 and hsnemp2 9 and any hlstweek 1 2 3 4 hnemp 0 if hrp22 and hsnemp2 8 and any hlstweek 1 2 3 4 hnemp 8 recode hnemp 0 82 SYSMIS variable labels hnemp Number of people employed by HRP value labels hnemp 1 Less than 25 2 25 499 3 Over 500 if if if if if if ACCOMMODATION TYPE Creating accharm
51. 1 Electrical items stolen 0 Elecrical items not stolen If If If If If stolitem 1 or v71 1 hifi 0 If whast2o 1 or whast30 1 or vehpar2a 1 or vehpar3a 1 hifi 1 Variable labels hifi What was stolen from car hifi radio speakers Value labels hifi 1 Hifi radio speakers stolen 0 Hifi radio speakers not stolen JH 2006 07 In car telephone no longer a category in items stolen from If stolitem 1 or v71 1 cartele 0 If whast2i 1 or whast3i 1 or vehpar2b 1 cartele 1 Variable labels cartele What was stolen from car mobile in car telephone Value labels cartele 1 Mobile In car telephone stolen 0 Mobile In car telephone not stolen If stolitem 1 or v71 1 tools 0 If whast2u 1 or whast3u 1 or vehpar2i 1 or vehpar3g 1 tools 1 Variable labels tools What was stolen from car tools Value labels tools 1 Tools stolen 0 Tools not stolen If stolitem 1 or v71 1 bike 0 If whast2v 1 or whast3v 1 bike 1 Variable labels bike What was stolen from car bicycle Value labels bike 1 Bicycle stolen 0 Bicycle not stolen If stolitem 1 or v71 1 camera 0 If whast2p 1 or whast3p 1 camera 1 Variable labels camera What was stolen from car camera Value labels camera 1 Camera stolen 0 Camera not stolen If stolitem 1 or v71 1 cdtapedvd 0 If whast2r 1 or whast3r 1 cdtapedvd 1 Variable labels cdtapedvd What was stolen fro
52. 14 947 19 411 8 973 32 787 36 450 37 931 47 796 47 203 Sampling ER Bild wp wmm Ethnic boost sample Young adults boost sample CAPI PAPI CAPI CAPI CAPI forms Self completion element Type of sample Over sampled in inner city areas Proportional Over sampled in less populous PFAs Over sampled in less populous sample minimum 600 PFAs minimum 1000 ER Electoral Register PAF Small Users Postcode Address File PAPI Paper and Pencil Interviewing CAPI Computer Assisted Personal Interviewing OPCS merged with the Central Statistical Office CSO in 1998 to form the Office for National Statistics ONS SCPR Social and Community Planning Research has now changed its name to the National Centre for Social Research BMRB British Market Research Bureau 19 APPENDIX B Design Factors applied to crime measures in 2006 07 Crime measures Incidents All household offences Burglary All vehicle thefts all households All household acquisitive Vandalism Vehicle vandalism Other vandalism Bicycle theft Other household theft All personal not including sex All BCS violence no snatch theft with injury no snatch theft with no injury no snatch theft All personal acquisitive Thefts from the person Robbery Other thefts of personal property Prevalence Burglary Al
53. 2 3 3 4 6 5 4 6 5 7 6 8 7 else sysmis into hrprel2a variable labels hrprel2a HRP religion 7 categories value labels hrprel2a 1 Christian 2 Buddhist 3 Hindu 4 Muslim 5 Sikh 6 Other 7 No religion Jewish and sikh groups in other category recode hrprelnw 1 1 2 2 3 3 4 5 5 4 6 5 7 5 8 6 else sysmis into hrprelg3 variable labels hrprelg3 HRP religion 6 categories value labels hrprelg3 1 Christian 2 Buddhist 3 Hindu 4 Muslim 5 Other 6 No religion RESPONDENT OCCUPATION CODING recode respsec2 1 121 1 221 2 1 3 2 4 3 5 4 6 thru 7 5 8 6 else sysmis into rnssec5 variable labels rnssec5 Occupation coding of Respondent 5 categories value labels rnssec5 1 Managerial and professional occs 2 Intermediate occs 3 Small employers and own account workers 4 Lower supervisory and technical occs 5 Semi routine and routine occs 6 Never worked and long term unemployed recode respsec2 1 121 1 221 2 1 3 2 4 3 5 4 6 thru 7 5 8 6 9 7 else sysmis into variable labels rnssec6 Occupation coding of Respondent 5 categories amp not classified value labels rnssec6 1 Managerial and professional occs 2 Intermediate occs 3 Small employers and own account workers 4 Lower supervisory and technical occs 5 Semi routine and routine occs 6 Never
54. 25 39 one offender older Offender aged 40 one offender value labels under school youth adult older 1 Yes 0 Merging responses from single code where one offender and multicode variables compute ageof1 0 if ageoff121 or under 1 ageof1 1 compute ageof2 0 if ageoff1 2 or school 1 ageof2 1 compute ageof3 0 if ageoff1 3 or youth 1 ageof3 1 compute ageof4 0 if ageoff124 or adult 1 ageof4 1 compute ageof5 0 if ageoff1 5 or older 1 ageof5 1 variable labels ageof1 Offender under school age all offenders ageof2 Offender child of school age all offenders ageof3 Offender aged 16 24 all offenders ageof4 Offender aged 25 39 all offenders ageof5 Offender aged 40 all offenders value labels ageof1 ageof2 ageof3 ageof4 ageof5 1 Yes 0 WHETHER A WEAPON WAS USED if v78 1 or descroff 1 offinfo1 1 if vftype 1 and descroff 2 offinfo1 0 if vftype 2 and v78 2 offinfo1 0 if wherhapp 2 and v78 2 offinfo1 0 variable labels offinfo1 Information about offender if weapon 1 1 1 if weapon 2 weap 2 if any weapon 8 9 weap1 9 if offinfo1 0 weap1 variable labels weap1 Whether offender had weapon value labels weap1 1 Yes 2 information about offender 9 Don t know refused Excl DK ref from weapon DV if weap1 1 weap2 1 if weap1 2 weap2 2
55. 2w 1 or whast2x 1 or whast2bb 1 or whast2dd 1 or whast2z 1 or whast2gg 1 or whast2mm 1 or whast2nn 1 or whast2ii 1 or whast3pp 1 or whast3w 1 or whast3x 1 or whast3cc 1 or whast3ee 1 or whast3aa 1 or whast3hh 1 or whast3nn 1 or whast300 1 or whast3jj 1 otherst 1 Variable labels otherst What was stolen from car other items Value labels otherst 1 Other items stolen 0 Other items not stolen If stolitem 1 or v71 1 garden 0 if whast2w 1 or whast3w 1 garden 1 Variable labels garden What was stolen from car garden furniture ornaments plants equipment Value labels garden 1 Garden furniture stolen 0 Garden furniture not stolen If stolitem 1 or v71 1 glasses 0 if whast2ii 1 or whast3jj 1 glasses 1 Variable labels glasses What was stolen from car glasses sunglassses spectacles Value labels glasses 1 Glasses stolen 0 Glasses not stolen For 2006 07 removing garden furniture and glasses etc from other category If stolitem 1 or v71 1 otherst2 0 If vehpar2c 1 or whast200 1 or whast2x 1 or whast2bb 1 or whast2dd 1 or whast2z 1 or whast2gg 1 or whast2mm 1 or whast2nn 1 or whast3pp 1 or whast3x 1 or whast3cc 1 or whast3ee 1 or whast3aa 1 or whast3hh 1 or whast3nn 1 or whast300 1 otherst2 1 Variable labels otherst2 What was stolen from car other items excl garden furniture glasses Value labels otherst2 1 Other items stolen 0 Other items not stolen WHETHER RESPONDE
56. 8 At a place of work out of doors 9 car park at a place of work 10 In the street near a place of work 11 In a car park for this estate 12 a shed greenhouse or other outbuilding on premises 13 Inside dancehall disco 14 park of dancehall disco 15 Street outside dancehall disco 16 Not sure where at dancehall disco 17 Inside football sports ground 18 Car park of football sports ground 19 Street outside football sports ground 20 Not sure where at football sports ground 21 Inside place of public entertainment 22 Car park of place of public entertainment 23 Street outside place of public entertainment 24 Not sure where at place of public entertainment 25 On a train 26 Train station in the station on a platform 27 Train station in a car park 28 Train station on the street outside 29 Train station not sure where 30 On a tube train 31 Tube station in the station on a platform 32 Tube station in a car park 33 Tube station on the street outside 34 Tube station not sure where 35 bus 36 Bus stop at bus stop station or street outside 37 Bus stop in a car park 38 Bus stop not sure where 39 On a plane 40 At the airport 41 In the airport car park 42 Not sure where at the airport 43 Inside a supermarket 44 In a supermarket car park 45 In the street shopping precinct outside supermarket 46 Not sure where at supe
57. 8b if whohrp8 1 ethnhead2 ethnic8b HRP is person 9 recode ethnic9 1 2 3 1 4 5 6 7 2 8 9 10 11 3 12 13 14 24 15 16 5 into ethnic9a if whohrp9 1 ethnheadzethnic9a recode ethnic9 1 2 3 1 4 5 6 7 2 8 9 10 1123 12 13 14 24 15 16 5 98 99 6 into ethnic9b if whohrp9 1 ethnhead2 ethnic9b HRP is person 10 recode ethnic10 1 2 3 1 4 5 6 7 2 8 9 10 11 3 12 13 14 4 15 16 5 into ethnc10a if whohrp10 1 ethnhead ethnc10a recode ethnic10 1 2 3 1 4 5 6 7 2 8 9 10 11 3 12 13 14 24 15 16 5 98 99 6 into ethnc1 Ob if whohrp10 1 ethnhead2 ethnc1 0b variable labels ethnhead Ethnic Group of HRP 5 categories value labels ethnhead 1 White 2 Mixed 3 Asian or Asian British 4 Black or Black British 5 Chinese or other variable labels ethnhead2 Ethnic Group of HRP 5 categories harmonised value labels ethnhead2 1 White 2 Mixed 3 Asian or Asian British 4 Black or Black British 5 Chinese or other 6 Not stated HOUSEHOLD ETHNICITY recode ethnic ethnic2 ethnic3 ethnic4 5 ethnic6 ethnic7 ethnic8 ethnic9 ethnic10 1 thru 3 1 4 thru 16 0 into eth1 eth2 eth3 eth4 eth5 eth6 eth7 eth8 eth9 eth10 compute anyeth 0 if eth120 or eth2 0 or eth3 0 or eth4 0 5 0 or eth6 0 or eth7 0 or eth8 0 eth9 0 or eth10 0 anyeth 1 variable labels anyeth Any member of household B
58. F EMPLOYEES AT PLACE OF WORK This variable has changed from Jun 06 due to change of variable names if any rlstweek 1 2 3 4 remplee nemple2 if remplee 1 or remplee 2 remplee 1 if remplee 3 or remplee 4 remplee 2 if remplee 5 or remplee 6 remplee 3 if remplee 9 remplee 0 recode remplee 0 8 SYSMIS variable labels remplee Number of employees at respondent s place of work value labels remplee 1 Less than 25 2 25 499 3 Over 500 if hrp21 and any hlstweek 1 2 3 4 hemplee remplee if hrp 2 and hnemple2 1 or hnemple2 2 and any hlstweek 1 2 3 4 hemplee 1 if hrp 2 and hnemple2 3 or hnemple2 4 and any hlstweek 1 2 3 4 hemplee 2 if hrp22 and hnemple2 5 or hnemple2 6 and any hlstweek 1 2 3 4 hemplee 3 if hrp22 and hnemple2 9 and any hlstweek 1 2 3 4 hemplee 0 if hrp22 and hnemple2 8 and any hlstweek 1 2 3 4 hemplee 8 recode hemplee 0 8 SYSMIS variable labels hemplee Number of employees at place of work value labels hemplee 1 Less than 25 2 25 499 3 Over 500 SELF EMPLOYED WITH OR WITHOUT EMPLOYEES This variable has changed from Jun 06 due to change of variable names if any rlstweek 1 2 3 4 remp100 snemp2 if any remp100 2 3 4 5 6 7 9 remp100 2 recode remp100 8 SYSMIS variable labels remp100 Whether respondent employs people not value labels remp100 1 No employees 2 With employees if hrp21 and any hlstweek
59. HRP is person 4 recode ethnic4 1 2 3 1 4 5 6 7 2 8 9 10 11 3 12 13 14 4 15 16 5 into ethnic4a if whohrp4 1 ethnhead ethnic4a recode ethnic4 1 2 3 1 4 5 6 7 2 8 9 10 11 3 12 13 14 4 15 16 5 98 99 6 into ethnic4b if whohrp4 1 ethnhead2 ethnic4b HRP is person 5 recode 5 1 2 3 1 4 5 6 7 2 8 9 10 11 3 12 13 14 4 15 16 5 into if whohrp5 1 ethnheadzethnicba recode 5 1 2 3 1 4 5 6 7 2 8 9 10 11 3 12 13 14 4 15 16 5 98 99 6 into ethnicbb if whohrp5 1 ethnhead2 ethnic5b HRP is person 6 recode ethnic6 1 2 3 1 4 5 6 7 2 8 9 10 11 3 12 13 14 4 15 16 5 into ethnic6a if whohrp6 1 ethnhead ethnic6a recode ethnic6 1 2 3 1 4 5 6 7 2 8 9 10 11 3 12 13 14 24 15 16 5 98 99 6 into ethnic6b if whohrp6 1 ethnhead2 ethnic b HRP is person 7 recode ethnic7 1 2 3 1 4 5 6 7 2 8 9 10 11 3 12 13 14 4 15 16 5 into ethnic7a if whohrp7 1 ethnhead ethnic7a recode ethnic7 1 2 3 1 4 5 6 7 2 8 9 10 11 3 12 13 14 24 15 16 5 98 99 6 into ethnic7b if whohrp7 1 ethnhead2 ethnic7b HRP is person 8 recode ethnic8 1 2 3 1 4 5 6 7 2 8 9 10 11 3 12 13 14 4 15 16 5 into ethnic8a if whohrp8 1 ethnhead ethnic8a recode ethnic8 1 2 3 1 4 5 6 7 2 8 9 10 11 3 12 13 14 4 15 16 5 98 99 6 into ethnic
60. ME value labels anyeth 0 No BME household members 1 One more household members BME RESPONDENT RELIGION Jewish group in other category Recode relig2 121 2 2 3 3 4 6 5 4 6 5 726 8 7 else sysmis into relig2a Variable labels relig2a Respondent religion 7 categories value labels relig2a 1 Christian 2 Buddhist 3 Hindu 4 Muslim 5 Sikh 6 Other 7 No religion Jewish and sikh groups in other category Recode relig2 1 1 2 2 3 3 4 5 5 4 6 5 7 5 8 6 else sysmis into relig3 Variable labels relig3 Respondent religion 6 categories value labels relig3 1 Christian 2 Buddhist 3 Hindu 4 Muslim 5 Other 6 No religion HOUSEHOLD REFERENCE PERSON RELIGION compute hrprelnw relig2 if hrp22 and hrprelg2 1 hrprelnw 1 if hrp22 and hrprelg2 2 hrprelnw 2 if hrp22 and hrprelg2 3 hrprelnw 3 if hrp22 and hrprelg2 4 hrprelnw 4 if hrp22 and hrprelg2 5 hrprelnw 5 if hrp22 and hrprelg2 6 hrprelnw 6 if hrp22 and hrprelg2 7 hrprelnw 7 if hrp22 and hrprelg2 8 hrprelnw 8 if hrp 2 and hrprelg2 98 hrprelnw 98 if hrp 2 and hrprelg2 99 hrprelnw 99 variable labels hrprelnw HRP religion combined categories value labels hrprelnw 1 Christian 2 Buddhist 3 Hindu 4 Jewish 5 Muslim 6 Sikh 7 Other 8 religion Jewish group in other category recode hrprelnw 1 1 2
61. NT HAD AN EMOTIONAL REACTION TO AN INCIDENT if emotreac 2 respreac 0 if emotreac 1 respreac 1 variable labels respreac Whether respondent had an emotional reaction to an incident value labels respreac 0 Respondent not emotionally affected 1 Respondent emotionally affected DEGREE OF EMOTIONAL IMPACT FOR RESPONDENT if emotreac 2 totaff 1 if howaff1 1 totaff 2 if howaff1 2 totaff 3 if howaff1 3 totaff 4 variable labels totaff Degree of emotional impact for respondent value labels totaff 1 Respondent not affected 2 Respondent affected very much 3 Respondent affected quite a lot 4 Respondent affected a little OF EMOTIONAL REACTION RESPONDENT EXPERIENCED if emotreac 1 or emotreac 2 anger 0 if whemota 1 anger 1 if emotreac 1 or emotreac 2 shock 0 if whemotb 1 shock 1 if emotreac 1 or emotreac 2 fear 0 if whemotc 1 fear 1 if emotreac 1 or emotreac 2 depress 0 if whemotd 1 depress 1 if emotreac 1 or emotreac 2 anxiety 0 if whemote 1 anxiety 1 if emotreac 1 or emotreac 2 confid 0 if whemotf 1 confid 1 if emotreac 1 or emotreac 2 sleeping 0 if whemotg 1 sleeping 1 if emotreac 1 or emotreac 2 crying 0 if whemoth 1 crying 1 if emotreac 1 or emotreac 2 annoy 0 if whemoti 1 annoy 1 if emotreac 1 or emotreac 2 othemot 0 if whemotj 1 othemot 1 if emotreac 1 or emotrea
62. SMIS variable labels hlkwork HRP looking for work in last 4 weeks value labels hlkwork 1 Yes 2 COMPOSITE VARIABLE OF ECONOMIC STATUS if sysmis work rlstweek 0 if rworkz1 rlstweek 1 if rgvtsch 1 rlstweek 2 f rjbaway 1 rlstweek 3 if rowbus 1 or rrlbus 1 rlstweek 4 if rlkwork 1 rlstweek 5 f Any WhyNlook 1 2 3 4 5 6 Ristweek 5 WhyNlook if whynlook 8 or whynlook 9 ristweek 0 recode rlstweek 02sysmis variable labels rlstweek Respondent economic status in last week value labels rlstweek 1 Paid work 2 Government training scheme 3 Away from job waiting to take job up 4 Unpaid work 5 Looking for work 6 Student 7 Looking after family home 8 Temporarily sick ill 9 Long term sick ill 10 Retired 11 Other if sysmis work hlstweek 0 if hrp21 hlstweek rlstweek if hrp22 and hwork 1 hlstweek 1 if hrp22 and hgvtsch 1 hlstweek 2 if hrp22 and hjbaway 1 hlstweek 3 if hrp22 and howbus 1 or hrlbus 1 hlstweek 4 if hrp22 and hlkwork 1 hlstweek 5 hrp 2 hwhynlk 1 hlstweek 6 hwhynlk 2 hlstweek 7 hwhynlk 3 hlstweek 8 hwhynlk 4 hlstweek 9 if 2 and hwhynlk 5 hlstweek 10 if hrp 2 and hwhynlk 6 hlstweek 1 1 if hrp 2 and hwhynlk 8 or hwhynlk 9 histweek 0 recode hlstweek O sysmis variable labels hlstweek HRP economic status in last week value labels hlstweek if if if hrp22 a
63. UK Data Archive Study Number 5755 British Crime Survey 2006 2007 Home Office CONTENTS CHAPTER 1 BACKGROUND TO THE BCS sccccccssssssssessseeeeecsceccesssseseeeeeeesoooonsess 1 CHAPTER 2 SAMPLE DESIGN AND METHODOLOGY 2 FIELDWORK 2 WEIGHTING ict EET 3 QUESTIONNAIRE xn ect e AANEREN EEN ronda 3 OFFENGE GODINQ a idu Le Ud ted nodes 4 CHAPTER 3 BCS ANALYSIS ee eeeeeee eene nne e enn n nnn nanus nn 6 BCS MAIN MODULES enrichir Enn tnn tne tru 6 INDIVIDUAL BASED nenne senses sn nnn nnn 6 HOUSEHOLD BASED ANALYSIS nennen nennen nnne nensi enn nnn 6 INCIDENT BASED ANALYSIS nennen nnn nnn 6 RATES BASED ANALYSIS gute ca NNN weed V EX RR XR AR VA RR EXER NER one 6 BCS DRUGS MODULE ee d e Rep e ie E SE 7 CHAPTER 4 BCS DATA FILES 5 55 oco sena xe sey e 8 8 WHAT CASES TO INCLUDE 14 nennen 8 ROUTING err 8 REGALI PERIOD ntn eh pes
64. aged to maintain a response rate 75 that is high compared with other similar household surveys However non response has implications for the measurement of crime if non respondents have different experiences of victimisation to respondents For example young men tend to be less likely to respond but have higher than average risks of victimisation Conversely non victims may be less likely to respond because they have less interest in the survey than victims To explore the implications of non response on survey estimates those who refused to participate in the 1996 BCS were asked a short set of questions about their experiences of crime The balance of the evidence is that if anything non respondents face slightly lower crime risks Lynn 1997 The BCS adopted calibration weighting in 2001 02 to account for differing rates of non response between people of different sex ages and regions Re weighting using calibration weighting was carried out on all survey years back to and including 1996 RECALL The BCS asks respondents to recall their experiences of crime in the previous 12 months The BCS crime measure is thus dependent on respondents ability to accurately remember their experiences in the reference period There are several issues which could prevent accurate recall gt respondents could simply forget a relevant incident gt respondents could remember an incident but think it happened before the reference period and the
65. alism 80 83 84 85 86 prevalence in last 12 months burgla p Burglary 51 52 53 prevalence in last 12 months burgat p Burglary attempts 53 prevalence in last 12 months burgno p Burglary attempts no loss 51 A 53 prevalence in last 12 months burgen_p Burglary with entry 51 amp 52 prevalence in last 12 months burglo p Burglary with loss 52 prevalence in last 12 months theftd_p Theft from a dwelling 55 prevalence in last 12 months theftf p Theft from a motor vehicle 61 amp 63 prevalence in last 12 months thefto p Theft of a motor vehicle 60 amp 62 prevalence in last 12 months attmvt p Attempted theft of amp from vehicle 71 amp 72 prevalence in last 12 months allmvt p All vehicle thefts 60 61 62 63 71 amp 72 prevalence in last 12 months allmvc_p All vehicle crime 60 61 62 63 71 72 81 82 prevalence in last 12 months biketh p Bicycle theft 64 prevalence in last 12 months othhhc p Other household thefts 50 55 56 57 58 65 prevalence in last 12 months tohhcl p Comparable household 51 52 53 60 61 62 63 64 71 72 80 81 82 83 84 85 86 prevalence in last 12 months totalh p All household offences 50 51 52 53 55 56 57 58 60 61 62 63 64 65 71 72 80 81 82 83 84 85 86 prevalence in last 12 months acquis p Acquisitive crimes 43 44 45 51 52 53 60 61 62 63 64 71 72 prevalence in last 12 months hhacq p Acquisitive crime against household 50 51 52 53 55 56 57 58 60 61 62 63 64 65 71 72
66. alth2 1 Good incl very good 2 Fair 3 Poor incl very poor EDUCATION compute educat3 0 if educint 2 educat3 1 if educat2 6 or educat2 7 educat3 2 if educat2 4 or educat2 5 educat3 3 if educat2 1 or educat2 2 or educat2 3 educat3 4 if educat2 8 educat3 5 recode educat3 1 thru 5 copy else sysmis variable labels educat3 Respondent education 5 categories value labels educat3 1 None 2 level GCSE 3 Apprenticeship or A AS level 4 Degree or diploma 5 Other recode educat2 1 thru 4 1 5 thru 8 2 else sysmis into educat4 if educint 2 educat4 3 variable labels educat4 Respondent education 3 categories value labels educat4 1 A levels or above 2 below A level qualifications NEWSPAPER READERSHIP recode newpapt 5 6 7 8 10 1 1 2 3 4 9 2 11 thru 13 3 14 4 else sysmis into newpap2 variable labels newpap2 Newspaper readership value labels newpap2 1 National broadsheets 2 National tabloids 3 Other daily newpaper 4 More than one LENGTH OF TIME AT ADDRESS ONS HARMONISED Compute ysadharm yrsaddr variable labels ysadharm ONG harmonised length of time at address value labels ysadharm 1 Less than 12 months 2 12 months less than 2 years 3 2 years less than 3 years 4 3 years less than 5 years 5 5 years less than 10 years 6 10 years less than 20 years 7
67. alysts use it CASE IDENTIFICATION Each individual respondent has a unique case identifier rowlabel consisting of an eight digit number This identifier is the same on each data file on which information is held about the respondent ROUTING From the 1994 BCS onwards the questionnaires in the technical reports provide the routing instructions above the questions in square brackets The routing instructions for surveys before 1994 are given above the questions and alongside responses to questions REFERENCE PERIOD This is the time over which BCS respondents are asked to report offences they had experienced Following the introduction of continuous sampling in 2001 02 the BCS reference period for offences relates to the 12 calendar months prior to interview Prior to this the reference period was between 1 January and 31 December of the previous year The Victim Forms hold information on all incidents reported to the survey Although respondents are asked to tell us about incidents that happened in the appropriate reference period some incidents outside the reference period are reported In all incident based analysis only incidents occurring in the correct reference period should be retained INCIDENTS OUTSIDE ENGLAND amp WALES Since 1992 incidents which occurred outside of England and Wales have been given a short victim form and a valid offence code Prior to 1992 incidents outside of England amp Wales were given an invalid offence
68. anagerial and professional occs 2 Intermediate occs 3 Routine and manual occs 4 Never worked and long term unemployed recode hrpsec2 1 1 1 1 2 1 2 1 8 THRU 4 2 5 THRU 7 3 8 4 9 5 else sysmis into hrpssec4 variable labels hrpssec4 Occupation coding of HRP 3 categories expanded value labels hrpssec4 1 Managerial and professional occs 2 Intermediate occs 3 Routine and manual occs 4 Never worked and long term unemployed 5 Not classified recode hrpsec 1 0 2 0 3 1 3 2 3 3 3 4 4 1 4 2 4 3 4 4 5 0 6 0 1 7 1 7 2 7 3 7 4 8 1 8 2 9 1 9 2 2 10 0 11 1 11 2 12 1 12 2 12 3 12 4 12 5 12 6 12 7 13 1 13 2 13 3 13 4 13 5 3 14 1 14 2 4 15 055 16 0 17 0 6 else sysmis into hrpssec4a variable labels hrpssec4a Occupation coding of HRP 3 categories amp students amp not classified value labels hrpssec4a 1 Managerial and professional occs 2 Intermediate occs 3 Routine and manual occs 4 Never worked and long term unemployed 5 Full time students 6 Not classified HOUSEHOLD STRUCTURE if 1 or hrpagegp 2 and nchil 0 struct3 1 if 1 or hrpagegp 2 and nchil gt 0 struct3 2 if hrpagegp 1 or hrpagegp 2 and nchil gt 0 and nadults 1 struct3 3 if hnrpagegp 3 struct3 4 variable labels struct3 Structure of household value labels struct3 1 No children 2 Children 3 Lone parent 4 HRP aged 60
69. and amp Wales However for more serious violence such as attempted murder or robbery their relatively rare occurrence means that insufficient numbers of survey respondents report being victims of such crimes As a victim based survey murders are not included on the BCS It should also be noted that the Home Office do not usually present BCS results on sexual offences rape attempted rape and indecent assault based on analysis from the victim form This is because the number of such incidents counted on the victim forms is too small for reliable analysis Instead information collected on self completion modules are used to calculate sexual victimisation BCS DRUGS MODULE Since 1996 the BCS has included a comparable self completion module of questions on illicit drug use BCS respondents aged 16 to 59 years old are eligible for the drugs module of the survey Respondents complete the drugs module by themselves on a laptop computer which allows them to feel more at ease when answering questions on illicit behaviour due to increased confidence in the privacy and confidentiality of the survey More information about the drugs module can be found in chapter 5 CHAPTER 4 BCS data files The BCS is a large and complex data set which provides a rich source of data for analysis However it is important that anyone undertaking analysis understands the structure of the data Listed below are some general points about the data and how Home Office an
70. ar5 variable labels numcar5 Number of cars 2 categories incl none value labels numcar5 0 1 or more VEHICLE SECURITY INCLUDING MAIN CARS If centloc0 1 or centloc1 1 centloc 1 If centloc0 2 or centloc1 2 centloc 2 If caralarO 1 or caralar1 1 caralar 1 If caralarO 2 or caralar1 2 caralar 2 If Immob0 1 or Immob1 1 Immobm 1 If Immob0 2 or Immob1 2 Immobm 2 If Immob01 1 or Immob1121 Immobe 1 If Immob01 2 or Immob1122 Immobe 2 If immobm 1 or Immobe 1 anyimob 1 If Immobm 2 and Immobe 2 anyimob 2 If vtrack 1 or vtracka 1 vtracker 1 If vtrack 2 or vtracka 2 vtracker 2 If vetch 1 or vetch2c 1 vetched 1 If vetch 2 or vetch2c 2 vetched 2 If 0 1 or rcascd1 1 rcascd 1 If rcascd0 2 or rcascd1 2 rcascd 2 If remove0 1 or remove1 1 vremove 1 If remove0 2 or remove1 2 vremove 2 If Secpin021 or 1 1 secpin 1 If 0 2 or 1 2 secpin 2 If vremove 1 or 1 radsec 1 If vremove 2 and 2 radsec 2 variable labels centloc Central locking caralar Car alarm immobm Mechanical immobiliser immobe Electronic immobiliser anyimob Any immobiliser vtracker Vehicle tracking device vetched Window etching rcascd Car has radio or cassette or CD player vremove Removable stereo
71. ariable labels totval2 Grouped total replacement value of what was stolen value labels totval2 1 No cost 2 1 to 19 3 20 to 49 4 50 to 99 5 100 to 199 6 200 to 499 7 500 to 999 8 1 000 or more ANY INFORMATION ABOUT THE OFFENDER if 78 1 or descroff 1 seeany 1 if descroff 2 seeany 2 variable labels seeany Whether any information about the offender value labels seeany 1 Victim saw offender 2 Victim did not see offender NUMBER OF OFFENDERS RECODED recode NumOff 1 thru 4 copy else sysmis into Numoff2 variable labels Numoff2 Number of offenders value labels Numoff2 1 One 2 Two 3 Three 4 Four or more SEX OF OFFENDER if 1 or offsex 1 ofsex 1 if offsex1 2 or offsex 2 ofsex 2 if offsex 3 ofsex 3 variable labels ofsex Sex of offender s value labels ofsex 1 Male 2 Female 3 Both sexes OF OFFENDER Re basing multicode responses to the full number of valid incidents compute under 0 if ageoffA 1 under 1 compute school 0 if ageoffB 1 school 1 compute youth 0 if ageoffC 1 youth 1 compute adult 0 if ageoffD 1 adult 1 compute older 0 if ageoffE 1 older 1 variable labels under Offender under school age one offender school Offender child of school age one offender youth Offender aged 16 24 one offender adult Offender aged
72. bb Compute xwhast2cc whast2cc Compute xwhast2dd whast2dd Compute xwhast2ee whast2ee Compute xwhast2ff whast 2ff Compute xwhast2gg whast29g Compute xwhast2hh whast2hh Compute xwhast2ii whast2ii Compute xwhast2jj whast2jj Compute xwhast2kkewhast2kk Compute xwhast2ll whast2ll Compute xwhast2mm whast2mm Compute xwhast2nn whast2nn Compute xwhast200 whast200 Compute xwhast2pp whast2pp Compute xwhast2qq whast2qq Compute xwhast3a whast3a Compute xwhast3b whast3b Compute xwhast3c whast3c Compute xwhast3d whast3d Compute xwhast3e whast3e Compute xwhast3f whast3f Compute xwhast3g whast3g Compute xwhast3h whast3h Compute xwhast3i whast3i Compute xwhast3j whast3j Compute xwhast3k whast3k Compute xwhast3l whast3l Compute xwhast3m whast3m Compute xwhast3n whast3n Compute xwhast3o whast3o Compute xwhast3p whast3p Compute xwhast3q whast3q Compute xwhast3r whasts3r Compute xwhast3s whast3s Compute xwhast3t whast3t Compute xwhast3u whast3u Compute xwhast3v whast3v Compute xwhast3w whast3w Compute xwhast3x whast3x Compute xwhast3y whast3y Compute xwhast3z whast3z Compute xwhast3aa whast3aa Compute xwhast3bb whast3bb Compute xwhast3cc whast3cc Compute xwhast3dd whast3dd Compute xwhast3ee whast3ee Compute xwhast3ff whast3ff Compute xwhast3gg whast3gg Compute xwhast3hh whast3hh Compute xwhast3ii whast3ii Compute xwhast3jj whast3jj Compute xwhast3kk whast3kk Compute xwhast3ll whast3ll Comp
73. c 2 othemot2 0 if whemotd 1 or whemote 1 or whemotf 1 or whemoti 1 or whemotj 1 othemot2 1 variable labels anger Emotional reaction anger shock Emotional reaction shock fear Emotional reaction fear depress Emotional reaction depression anxiety Emotional reaction anxiety panic attacks confid Emotional reaction loss of confidence feeling vulnerable sleeping Emotional reaction difficulty sleeping crying Emotional reaction crying tears annoy Emotional reaction annoyance othemot Emotional reaction other othemot2 Emotional reaction grouped other value labels anger shock fear sleeping crying depress anxiety confid annoy othemot othemot2 1 5 experienced that reaction 0 did not experience that reaction VICTIM SATISFACTION recode satpol 1 thru 4 copy else sysmis into satisfa2 variable labels satisfa2 Victim satisfaction 4 groups excl DK amp value labels satisfa2 1 Very satisfied 2 Fairly satisfied A bit dissatisfied 4 Very dissatisfied recode satpol 1 2 1 3 4 2 else sysmis into satisgp2 variable labels satisgp2 Victim satisfaction 2 groups value labels satisgp2 1 Satisfied 2 Dissatisfied COST OF HOUSEHOLD THEFT recode totvalue 0 1 1 thru 19 2 20 thru 49 3 50 thru 99 4 100 thru 199 5 200 thru 499 6 500 thru 999 7 1000 thru 99997 8 into totval2 v
74. converting adults into households recode vandalis to violnoi2 allcrmah allcrmha sysmis 0 This syntax derives new incidence variables multiplies the number of incidents by 10 000 to give the incidence rates compute vandal i vandalis 10000 compute mv van i mv vand 10000 compute homeva i homevand 10000 compute burgla i burglar 10000 compute burgat i burgatts 10000 compute burgno i burgatno 10000 compute burgen i burgentr 10000 compute burglo i burgloss 10000 compute theftd i theftdwe 10000 compute theftf i theftfmv 10000 compute thefto i theftomv 10000 compute attmvt i attmvthf 10000 compute allmvt i allmvthf 10000 compute allmvc i allmvcri 10000 compute biketh i bikethef 10000 compute othhhc i othhhctd 10000 compute tohhcl i tohhcltd 10000 compute totalh i totalhh 10000 compute acquis i acquisit 10000 compute hhacq i hhidacq 10000 Variable labels vandal i Vandalism 80 81 82 83 84 85 86 incidence in last 12 months mv van i Motor vehicle vandalism 81 amp 82 incidence in last 12 months homeva i Other vandalism 80 83 84 85 86 incidence in last 12 months burgla i Burglary 51 52 53 incidence in last 12 months burgat i Burglary attempts 53 incidence in last 12 months burgno i Burglary attempts and no loss 51 amp 53 incidence in last 12 months burgen i Burglary with entry 51 amp 52 incidence in last 12 months burgl
75. ctimisation in last 12 months mugg1 r Mugging 41 42 43 victimisation in last 12 months stealt r Stealth theft from person 44 45 victimisation in last 12 months snatch Snatch theft from person 43 victimisation in last 12 months st r Mugging and stranger violence Violgrp2 or 3 victimisation in last 12 months dom ac r Domestic and acquaintance Violgrp1 or 4 victimisation in last 12 months domest r Domestic violence Violgrp1 victimisation in last 12 months mugg2_r Mugging Violgrp2 victimisation in last 12 months strang r Stranger Violgrp3 victimisation in last 12 months acquai r Acquaintance Violgrp4 victimisation in last 12 months vioinj r Violence with injury victimisation in last 12 months vionoi r Violence without injury victimisation in last 12 months peracq r Acquisitive crime against individual 41 42 43 44 45 67 73 victimisation in last 12 months woundn r Wounding violence with injury victimisation in last 12 months asnoij r Assault with no injury victimisation in last 12 months cominj r Common assault with injury victimisation in last 12 months comnij r Common assault with no injury victimisation in last 12 months violrs r All BCS violence 11 12 13 21 32 33 victimisation in last 12 months excl robbery amp snatch theft viols_r All BCS violence 11 12 13 21 32 33 41 42 victimisation in last 12 months excl snatch theft vioin2_r Violence with injury no snatch theft
76. ddress The young adult questionnaire covers fewer topics than those asked in the main questionnaire and questions on household victimisation are also excluded as these are answered by the main respondent The young adult boost file includes all young people 16 24 from both the main and boost samples in one dataset For the young adult dataset only an individual weight is computed as the household weight is the same as that calculated for the main data file The weight variable from 2006 07 onwards is called ypcwgt prior to this the weight variable was called indivyb DRUGS MODULE OVER TIME Since the introduction of the drug module in 1992 there have been relatively few changes made to the questions asked 1996 module In 1996 respondents answered Yes No to the following questions e Have you ever HEARD of X With the range of responses Yes No Don t want to answer respondents were asked e Have you EVER taken X e Have you taken X in the LAST YEAR e Have you taken X in the LAST MONTH Respondents were routed out accordingly for example they were only asked if they had taken X in the LAST YEAR if they responded positively to having EVER taken obviously the respondent would have said that they had HEARD of X Respondents were also asked Have you injected or had someone else injected you with any drug not prescribed by a doctor 1998 module The inject question that was introduced in 1996 was dropped 2000 module Repl
77. dow broken value labels shedwind 1 Shed garage window broken If damgarb 1 or damgarc 1 sheddoor 1 variable labels sheddoor Shed garage door lock damaged value labels sheddoor 1 Shed garage door lock damaged If damgard 1 shedgraf 1 variable labels shedgraf Shed garage graffiti value labels shedgraf 1 Shed garage graffiti If damgare 1 shedsoil 1 variable labels shedsoil Shed garage soiling value labels shedsoil 1 Shed garage soiling If damgarf 1 or damgarg 1 or damgarh 1 or damgari 1 or damgarj 1 shedoth 1 variable labels shedoth Shed garage other value labels shedoth 1 Shed garage other TIME OF INCIDENT recode timevic2 1 thru 7 copy else sysmis into time1 variable labels time1 Time of incident 7 groups value labels time1 1 During morning 2 During afternoon 3 Morning afternoon 4 Early evening 5 Late evening 6 During night 7 Evening night recode timet 1 thru 2copy 4 thru 5 4 6 5 726 else sysmis into time2 variable labels time2 Time of incident 6 groups value labels time2 1 During morning 2 During afternoon 3 Morning afternoon 4 During evening 5 During night 6 Evening night recode time1 1 1 2 1 3 1 4 2 5 2 6 2 7 2 into time3 variable labels time3 of incident 2 groups value labels time3 1 morning or afternoo
78. eap3 Whether used syringe stones something else as a weapon excl DK RF value labels glass1 gun1 knife1 stab1 syr1 stones1 othweap1 othweap3 1 Yes O No not used RELATIONSHIP TO VICTIM knewoff and knewoff1 DK has not been recorded at code 4 or 3 as it should have been but at code 9 Correcting for this by recoding variable However seenoff and seenoff1 which route off knewoff and knewoff1 respectively do pick up the sample set they should recode knewoff 1 thru 3 copy sysmis sysmis else 4 recode knewoff1 1 thru 2 copy sysmis sysmis else 3 Creating a variable that identifies those who could answer the questions had you seen offender before from those who did not answer question or did not know recode seenoff 1 thru 2 1 else 2 into sceenoff recode seenoff1 1 thru 221 else 2 into scenoff1 variable labels seenoff Whether victim knew if they had seen multiple offenders before seenoff1 Whether victim knew if they had seen single offender before value labels seenoff seenoff1 1 Knew whether offender had been seen before 2 Did not know whether offender had been seen before Single offender Strangers includes those who could not answer SeenOff if seenoff1 2 relate2 1 if Knewoff1 2 and scenoff1 2 relate2 1 if Knewoff1 3 and scenoff1 2 relate2 1 Known casually if howknow1 1or howknow1 2 relate2 2 Known well if howknow1 3 relate2 3 if
79. eener from which the Victim Form arose For example an incident elicited from the burglary screener may turn out to be a case of vandalism Second an incident can be double counted on the screener Despite careful wording of the questions the respondent may report a single incident on two screeners Since 1992 respondents aged 16 59 have been asked to complete self completion questionnaires on drug use drinking behaviour stalking etc OFFENCE CODING Based on the information collected on the victim form an offence code is assigned to each crime This is done by coders employed by the survey contractor Home Office researchers check a sample of offences to ensure accuracy of the coding Coding reliability tests are carried out periodically to measure consistency between the coders employed by the survey contractor and Home Office researchers The last coding reliability test was in 2004 and the next one is planned for 2008 The Coding guidance can be found in the technical reports which are available for each survey year http Awww homeoffice gov uk rds pdfs07 bcs0607tech1 pdf Note that although threats are valid BCS offence codes they are not included in most BCS analyses conducted by the Home Office as the incidents do not always meet the criteria of a criminal offence Also sexual offences are not included in the count of total crime because the small number of incidents picked up by the survey means the results would be unreliable
80. er criminal damage over 20 all BCS violence allviol 11 serious wounding 12 other wounding 13 common assault 21 attempted assault 32 serious wounding with sexual motive 33 other wounding with sexual motive 41 robbery 42 attempted robbery 43 snatch theft from the person mugging mugging1 41 robbery 42 attempted robbery 43 snatch theft from the person 26 stealth theft from person stealth 44 other theft from the person 45 attempted theft from the person snatch theft from person snatch 43 snatch theft from the person acquisitive crime against the household hhacq 50 attempted burglary to non connected domestic garage outhouse 51 burglary in a dwelling nothing taken 52 burglary in a dwelling something taken 53 attempted burglary in a dwelling 55 theft in a dwelling 56 theft from a meter 57 burglary from non connected domestic garage outhouse nothing taken 58 burglary from non connected domestic garage outhouse something taken 60 Theft of car van 61 Theft from car van 62 Theft of motorbike motorscooter or moped 63 theft from motorbike motorscooter or moped 64 theft of pedal cycle 65 Theft from outside dwelling excl theft of milk bottles 71 attempted theft of from car van 72 attempted theft of from motorcycle acquisitive crime against the individual persacq 41 robbery 42 attempted robbery 43 snatch theft from the person 44 other theft from the person 45 attempted theft from t
81. ette or CD player vremove Removable stereo vsecpin Stereo security vradsec Any stereo security value labels vcentlo to vradsec 1 Yes 2 VEHICLE recode vehage 1 thru 321 4 2 into vehage2 variable labels vehage2 Grouped age of vehicle value labels vehage2 1 Up to 10 years old 2 More than 10 years or old OF CONTACT WITH OFFENDER if athome 2 contype1 1 if athome 1 and aware 2 contype1 2 if athome 1 and aware 1 and descroff 2 contype1 3 if athome 1 and aware 1 and descroff 1 or v78 1 contype1 4 variable labels contype1 of contact with offender value labels contype1 1 Away from home 2 At home but unaware At home and aware 4 At home aware and saw offender recode descroff 2 9 1 else 2 into deskroff variable labels deskroff Description of offenders value labels deskroff 1 No Dont know anything about offenders 2 Yes know something about offenders recode athome 1 1 2 2 else sysmis into athome2 variable labels athome2 Whether anyone at home during incident value labels athome2 1 Someone at home 2 No one at home POINT OF ENTRY FOR BURGLARY recode frontbac 1 thru 4 copy else sysmis into frontbac2 variable labels frontbac2 Tried to got in through front or back of property if any frontbac2 1 2 3 4 door 0 if entdoor 1 door 1 variable labels door Burglary entry tried
82. f 3 locate1 77 if sportcl 4 or sportcl 9 locate1 78 if mosque 1 locate1 79 if mosque 2 locate1 80 if mosque 3 locate1 81 if mosque 4 or mosque 9 locate1 82 if comprem 4 locate1 83 if comoth 1 locate1 51 if comoth 2 locate1 52 if comoth 3 locate1 53 if comoth 4 comoth 9 or comprem 9 locate1 54 if elsewher 2 locate1 59 if elsewher 3 or whervic2 4 locate1 60 if elsewher 4 locate1 61 if elsewher 5 locate1 62 if elsewher 6 locate1 63 if elsewher 7 locate1 64 if elsewher 8 locate1 70 if elsewher 9 locate1 66 if elsewher 10 locate1 67 if elsewher 1 1 locate1 97 if elsewher 12 or elsewher 99 locate1 98 if ownhome 9 or outhome 9 locate1 68 if transp 99 locate1 69 if vicwork 9 locate1 84 if transp 9 locate1 85 if transp 10 locate1 86 if whervic2 11 locate1 87 if transp 98 locate1 99 if vicwork 8 locate1 99 if ownhome 8 or outhome 8 or whervic2 98 or elsewher 98 locate1 99 if whervic2 99 locate1 98 variable labels locate1 Location of incident value labels locate1 1 Inside your own home 2 a garage next to this house flat 3 Inside the same building corridor stairs lift etc 4 In a garden outside the building on same premises 5 In another garage e g row of garages for flats 6 the street outside your house flat 7 At a place of work inside building
83. from car tax disc Value labels tax 1 Tax disc stolen 0 Tax disc not stolen JH 2006 07 Exterior fittings no longer a category in items stolen from a car instead amalgamated equivalent categories from 2005 06 Categories included hub caps wheel trims dust caps aerials number plates makers badge wingmirrors windscreen wipers lights Categoies not available exhaust luggage bicycle carrier rack so note comparability If stolitem 1 or v71 1 extfit 0 if vehpar2f 1 or vehpar3i 1 or vehpar3j 1 or vehpar3k 1 or vehpar3l 1 or 1 or vehpar3n 1 or vehpar3o 1 or vehpar3p 1 extfit 1 Variable labels extfit What was stolen from car exterior fittings Value labels extfit 1 Exterior fittings stolen 0 Exterior fittings not stolen If stolitem 1 or v71 1 tyres 0 if vehpar2g 1 or vehpar2h 1 or vehpar3d 1 or vehpar3e 1 tyres 1 Variable labels tyres What was stolen from car tyres wheels Value labels tyres 1 Tyres wheels stolen 0 Tyres wheels not stolen If stolitem 1 or v71 1 othervp 0 If vehpar2d 1 or vehpar2e 1 or vehpar2j 1 or vehpar2m 1 or vehpar2o 1 or vehpar2n 1 or vehpar3f 1 or 1 or vehpar3s 1 othervp 1 Variable labels othervp What was stolen from car other vehicle parts Value labels othervp 1 Other vehicle parts stolen 0 Other vehicle parts not stolen If stolitem 1 or v71 1 otherst 0 If vehpar2c 1 or whast200 1 or whast
84. give the prevalence rates recode vandalis recode mv vand 0 sysmis 0 else 100 into p 0 sysmis 0 else 100 into mv van p 0 sysmis 0 else 100 into homeva p sie homevand 0 recode burglar 0 0 sysmis 0 else 100 into burgla_p recode burgatts 0 0 sysmis 0 else 100 into burgat p recode burgatno 0 0 sysmis 0 else 100 into burgno p recode burgentr 0 0 sysmis 0 else 100 into burgen p recode burgloss 0 0 sysmis 0 else 100 into burglo_p recode theftdwe 0 0 sysmis 0 else 100 into theftd_p recode theftfmv 0 0 sysmis 0 else 100 into theftf p recode theftomv 020 sysmis 0 else 100 into thefto p recode attmvthf 020 sysmis 0 else 100 into attmvt p recode allmvthf 020 sysmis 0 else 100 into allmvt p recode allmvcri 0 0 sysmis 0 else 100 into allmvc p 0 0 recode bikethef 0 0 sysmis 0 else 100 into biketh p recode othhhctd 020 sysmis 0 else 100 into othhhc p recode tohhcltd 020 sysmis 0 else 100 into tohhcl p recode totalhh 0 0 sysmis 0 else 100 into totalh p recode acquisit 020 sysmis 0 else 100 into acquis p recode hhldacq 020 sysmis 0 else 100 into hhacq p 0 Variable labels vandal p Vandalism 80 81 82 83 84 85 86 prevalence in last 12 months mv van p Motor vehicle vandalism 81 amp 82 prevalence in last 12 months homeva p Other vand
85. hat better off groups have a lower threshold of tolerance and are therefore more likely to report minor incidents to the survey Sparks et al 1977 Overall methodological studies suggest that victimisation surveys are likely to undercount more trivial offences e g vandalism and some assaults and sensitive offences e g sexual offences and domestic violence Generally though more serious incidents are likely to be over counted as more salient events tend to be pulled forward in time 5 Procedures are used to try to overcome this problem The question is on a show card and interviewers are instructed that this section of the interview can be postponed if others are present during the interview Nicholas S Kershaw and Walker 2007 Crime in England and Wales 2006 07 Home Office Statistical Bulletin 11 07 London Home Office htip www homeoffice gov uk rds pdfs07 hosb1107 pdf 7 Sparks R F Genn H and Dodd D J 1977 Surveying victims London John Wiley CHAPTER 7 BCS datasets ACCESS TO BCS DATA The BCS data is deposited at the UK Data Archive UKDA The UKDA hold the data for all years of the BCS For each year there are at least two files One holds the victimisation module data and the other the remaining parts of the questionnaire with the exception of the self completion modules these are held separately and must be specifically requested for release See table below for details of all dataset
86. hcls 10000 compute totalp i totalper 10000 compute totper i totperls 10000 compute allass i allassau 10000 compute violen i violence 10000 compute threat i threats 10000 compute totalb i totalbcs 10000 compute alviol i allviol 10000 compute mugg1 i mugging1 10000 compute stealt i stealth 10000 compute snatch i snatch 10000 compute mug st i mug_stra 10000 compute dom ac i dom acq 10000 compute domest i domestic 10000 compute mugg2 i mugging2 10000 compute strang i stranger 10000 compute acquai i acquain 10000 compute vioinj i violinj 10000 compute vionoi i violnoi 10000 compute peracq i persacq 10000 compute alvalc i allvalc 10000 compute woundn i woundnew 10000 compute asnoij i assnoinj 10000 compute cominj i 10000 compute comnij i comasni 10000 compute violrs i violnors 10000 compute viols i violnos 10000 compute vioin2 i violinj2 10000 compute viono2 i violnoi2 10000 Variable labels sexoff i Sexual offences 31 34 amp 35 incidence in last 12 months common i Common assault 13 21 incidence in last 12 months wound i Wounding 11 12 32 33 incidence in last 12 months robber i Robbery 41 42 incidence in last 12 months theftp i Theft from person 43 44 45 incidence in last 12 months thfp r i Theft from person amp robbery 41 42 43 44 45 incidence in last 12 months compvi i comparative
87. he person 67 other theft 73 other attempted theft all BCS violence excluding robbery and snatch theft violnors 11 serious wounding 12 other wounding 13 common assault 21 attempted assault 32 serious wounding with sexual motive 33 other wounding with sexual motive all BCS violence excluding snatch theft violnos 11 serious wounding 12 other wounding 13 common assault 21 attempted assault 32 serious wounding with sexual motive 33 other wounding with sexual motive 41 robbery 42 attempted robbery 27 APPENDIX D Home Office derived variables for the main 2006 07 BCS datafile AGE OF RESPONDENT recode age 16 thru 29 1 30 thru 59 2 60 thru 99 3 else sysmis into agegrp variable labels agegrp Age group 3 bands value labels agegrp 1116 29 2 30 59 3 60 recode 16 thru 19 1 20 thru 24 2 25 thru 34 3 35 thru 44 4 45 thru 54 5 55 thru 64 6 65 thru 74 7 75 thru 84 8 85 thru 99 9 else sysmis into agelong variable labels agelong Age group 9 bands value labels agelong 1116 19 2 20 24 3 25 94 4 35 44 5 45 54 6 55 64 7 65 74 8 75 84 9 85 16 thru 24 1 25 thru 44 2 45 thru 64 3 65 thru 74 4 75 thru 99 5 else sysmis into ageshort variable labels ageshort Age group 5 bands value labels ageshort 1 16 24 2 25 44 3 45 64 4 65 74 5 75 recode age 16 thru 24 1 25 thru 34 2 85 thru 44 3
88. hru 999 4 1000 thru 4999 5 5000 thru 9999 6 10000 thru 14999 7 15000 thru 99997 8 into totdamgp2 valveh2 othvalvh2 totvalue2 variable labels totdamgp2 Grouped cost of damage 8 groups valveh2 Grouped replacement cost of stolen vehicle 8 groups othvalvh2 Grouped value of other stolen property 8 groups totvalue2 Grouped total replacement cost of what was stolen 8 groups value labels totdamgp2 valveh2 othvalvh2 totvalue2 0 No damage items stolen 1 1 49 2 50 99 3 100 499 4 500 999 5 1 000 4 999 6 5 000 9 999 7 10 000 14 999 8 More than 15 000 STOLEN Creating duplicate copy of items stolen variable for recoding Compute xwhast2a whast2a Compute xwhast2b whast2b Compute xwhast2c whast2c Compute xwhast2d whast2d Compute xwhast2e whast2e Compute xwhast2f whast f Compute xwhast2g whast2g Compute xwhast2h whast2h Compute xwhast2i whast2i Compute xwhast2j whast2j Compute xwhast2k whasi2k Compute xwhast2l whast l Compute xwhast2m whast2m Compute xwhast2n whast2n Compute xwhast2o whast20 Compute xwhast2p whast2p Compute xwhast2q whast2q Compute xwhast2r whast2r Compute xwhast2s whast2s Compute xwhast2t whaste t Compute xwhast2u whast2u Compute xwhast2v whast2v Compute xwhast2w whast2w Compute xwhast2x whast2x Compute xwhast2y whast2y Compute xwhast2z whast2z Compute xwhast2aa whast2aa Compute xwhast2bb whast2
89. hs peracq p Acquisitive crime against individual 41 42 43 44 45 67 73 prevalence in last 12 months alvalc p Alcohol related all BCS violence prevalence in last 12 months excl snatch theft woundn p Wounding violence with injury prevalence in last 12 months asnoij p Assault with no injury prevalence in last 12 months cominj p Common assault with injury prevalence in last 12 months comnij p Common assault with no injury prevalence in last 12 months violrs p AI BCS violence 11 12 13 21 32 33 prevalence in last 12 months excl robbery amp snatch theft viols p BCS violence 11 12 13 21 32 33 41 42 prevalence in last 12 months excl snatch theft vioin2 p Violence with injury no snatch theft prevalence in last 12 months viono2 p Violence without injury no snatch theft prevalence in last 12 months This syntax derives variables for repeat more than once victimisation recode vandalis O sysmis else copy into vandal recode mv vand O sysmis else copy into mv van r recode homevand 0 else copy into homeva r recode burglar O sysmis else copy into burgla recode burgatts 0 sysmis else copy into burgat recode burgatno O sysmis else copy into burgno recode burgentr 0 sysmis else copy into burgen recode burgloss O sysmis else copy into burglo recode theftdwe O sysmis else copy into theftd recode theftfmv O sysmis else copy into thef
90. iated with the BCS see http Awww homeoffice gov uk rds bcs1 html FORTHCOMING PUBLICATIONS We will be publishing a regular series of National Statistics supplementary bulletins to accompany the key findings in the main annual report The three supplementary bulletins will cover serious crime other crime and attitudes perceptions and risks and will report on additional analysis not included in the main annual publication with exact content to be agreed each year The first two supplementary reports in this new series have already been published Homicides Firearms and Intimate Violence 2005 06 http Awww homeoffice gov uk rds pdfs07 hosb0207 pdf Mobile phone theft plastic card and identity fraud Findings from the 2005 06 British Crime Survey http Awww homeoffice gov uk rds pdfs07 hosb1007 pdf We will also be publishing a regular set of tables throughout the reporting year which will be issued alongside the supplementary bulletins Current plans for table updates are e Nature of crime tables e Policing and confidence in the CJS e Vandalism The release of these tables will be pre announced as National Statistics and will be available online at http www homeoffice gov uk rds bcs1 html APPENDIX A Comparing the cycles 1982 to 2006 07 BCS 1982 1984 1988 1992 2005 06 2006 07 HEN SCPR SCPR SCPR SCPR SCPR SCPR amp BMRB BMRB BMRB BMRB BMRB BMRB company NOP ONS 10 905 11 030 10 392 10 059 2 16 348
91. ica of 1998 module 2001 02 module There were several changes made to the questions in this round e The ever HEARD question was dropped and put in as a response in the EVER taken question So now when asking Have you EVER taken the responses available were Yes No Never heard of it Don t want to answer obviously not asked for the taken anything unknown questions e The taking anything else that you thought was drug changed to taking anything else that you knew or thought to be a drug There was also two new sets of questions introduced asked only of 16 24 year olds core amp boost concerning age when first used X and how easy to get hold of any illegal drugs X Responses for the ease of access questions were in the form of a Likert Scale ranging from very easy to impossible as well as usual refusal categories 2002 03 module The questions on ease of access to illegal drugs were dropped after June 2002 In their place a new set of questions asking about frequency of drug use were added for 16 24 year olds who had taken drugs in the last 12 months Respondents were asked How often during the last 12 months have you taken X with the responses ranging from Every day to Once or twice a year The questions on frequency of use were asked in July December 2002 only 2003 04 module Replica of 2002 03 module with questions on ease of access to illegal drugs excluded and questions o
92. ion in last 12 months totalp r2 All personal including sex offences 11 12 13 21 31 32 33 34 35 41 42 43 44 45 67 73 victimisation in last 12 months totper r2 All personal not including sex offences 11 12 13 21 32 33 41 42 43 44 45 67 73 victimisation in last 12 months allass r2 All assault 11 12 13 21 32 33 victimisation in last 12 months violen r2 Robbery and wounding 11 12 32 33 41 42 victimisation in last 12 months threat r2 Threats 91 92 93 94 victimisation in last 12 months totalb r2 Total BCS crime without sex offences 11 12 13 21 32 33 41 42 43 44 45 50 51 52 53 55 56 57 58 60 61 62 63 64 65 67 71 72 73 80 81 82 83 84 85 86 victimisation in last 12 months alviol r2 All BCS violence 11 12 13 21 32 33 41 42 43 victimisation in last 12 months mugg1 r2 Mugging 41 42 43 victimisation in last 12 months stealt r2 Stealth theft from person 44 45 victimisation in last 12 months snatch r2 Snatch theft from person 43 victimisation in last 12 months mug st r2 Mugging and stranger violence Violgrp2 or victimisation in last 12 months dom ac r2 Domestic and acquaintance Violgrp1 or 4 victimisation in last 12 months domest r2 Domestic violence Violgrp1 victimisation in last 12 months mugg2 r2 Mugging Violgrp2 victimisation in last 12 months Strang r2 Stranger Violgrp3 victimisation in last 12 months acquai r2 Acquaintance Violgrp4 victimisation in last 12 months vioinj r2 Violence with injur
93. k Stones P Smack H Brown LSD Acid Magic Mushrooms Methadone Physeptone Semeron Tranquillizers Temazepam Valium Poppers Steroids Glues Solvents Gas Aerosols 2002 03 Speed Whizz Uppers Billy Marijuana Grass Hash Ganja Blow Draw Skunk Weed Spliff Coke Rock Stones P Smack H Brown LSD Acid Magic Mushrooms Methadone Physeptone Semeron Tranquillizers Temazepam Valium Poppers Steroids Glues Solvents Gas Aerosols 2003 04 Speed Whizz Uppers Billy Marijuana Grass Hash Ganja Blow Draw Skunk Weed Spliff Coke Rock Stones P Smack H Brown LSD Acid Magic Mushrooms Methadone Physeptone Semeron Tranquillizers Temazepam Valium Poppers Steroids Glues Solvents Gas Aerosols 2004 05 Speed Whizz Uppers Billy Marijuana Grass Hash Ganja Blow Draw Skunk Weed Spliff Coke Rock Stones P Smack H Brown LSD Acid Magic Mushrooms Methadone Physeptone Semeron Tranquillizers Temazepam Valium Poppers Steroids Glues Solvents Gas Aerosols 2005 06 Speed Whizz Uppers Billy Marijuana Grass Hash Ganja Blow Draw Skunk Weed Spliff Coke Rock Stones P Smack H Brown LSD Acid Magic Mushrooms Methadone Physeptone Semeron Tranquillizers Temazepam Valium Poppers Steroids Ketamine Glues Solvents Gas Aerosols 2006 07 Speed Whizz Uppers Billy Marijuana Grass Hash Ganja Blow Draw Skunk Weed Spliff
94. k 85 86 Driving or travelling in a car van 87 In around petrol station forecourt 97 Other specific location 98 Dont know or vague answer 99 Not answered LOCATION OF INCIDENT RECODED recode locate1 1 2 3 55 56 1 4 S 11 12 68 2 7 S 9 65 84 4 10 5 72 14 18 76 22 27 32 37 41 44 48 80 52 60 70 6 73 15 19 77 23 28 33 45 49 81 53 57 62 63 64 7 71 74 13 16 17 20 75 78 21 24 25 26 29 30 31 34 35 36 38 39 40 42 43 46 47 50 79 82 83 85 86 51 54 58 5 9 61 67 66 87 69 97 8 into newloc variable labels newloc Location of incident 8 groups original version value labels newloc 1 Home private 2 semi private Home street 4 Work car park 5 Work street 6 Other car park 7 Other street 8 Other recode newloc 1 thru 3 21 4 2 622 5 3 7 3 8 4 into newloc2 variable labels newloc2 Location of incident 4 groups original version value labels newloc2 1 Home 2 Car park 3 Street not home 4 Ober recode locate1 1 2 3 55 56 1 4 5 11 12 2 3 65 4 SS e 18 76 22 27 32 37 41 44 48 80 52 60 7 6 10 7 8 72 73 15 19 77 23 28 33 45 49 81 53 57 62 8 9 10 7 8 7 7 71 74 13 16 17 20 75 78 21 24 25 26 29 30 31 34 35 36 38 39 40 42 43 46 47 50 79 82 83 85 51 54 61 67 6 6 87 69 9 86 58 59 68 84 97 10 into newloc3 variable labels newloc3 Location of incident 10 groups
95. k1a 1 Alot more 2 A little more 3 About the same A little less 5 A lot less recode crimuk1a 1 2 1 3 thru 522 into crimuk2 variable labels crimuk2 Has level of crime in the country changed in the last 2 years 2 categories value labels crimuk2 1 More a lot a little 2 Less lot a little about same CRIME RATE LOCAL recode crimerat 1 thru 5 copy else sysmis into crime1a variable labels crime1a Has level of crime locally changed in the last 2 years cleaned value labels crimeta 1 lot more 2 A little more 3 About the same 4 A little less 5 A lot less recode crime1a 1 2 1 3 thru 5 2 into crime2 variable labels crime2 Has level of crime locally changed in the last 2 years 2 categories value labels crime2 1 More a lot a little 2 Less a lot a little about same HOUSEHOLD SECURITY MEASURES FROM recode burgalar 1 1 2 0 into burgx variable labels burgx Whether household has burglar alarm value labels burgx 0 1 5 ndummy 1 1 220 into ndummy2 if burgalar 1 ndummy2 0 variable labels ndummy2 Whether household has dummy alarm value labels ndummy2 0 1 Yes recode visible 1 1 220 into variable labels ndummy2 Whether household has visible alarm box value labels visibl2 0 1 Yes deadlock 1 2 1 3 0 into deadx
96. l vehicle thefts owners All vehicle thefts all households Vandalism All household crime Theft from the person Violent crime no snatch theft with injury no snatch theft with no injury no snatch theft All personal crime All BCS crime Fear of crime Burglary Car crime Violent crime Disorder Perceived level of ASB Disorder 1 teenagers hanging around Disorder 2 vandalism graffiti etc Disorder 4 people using dealing drugs Disorder 6 noisy neighbours 2 4 Disorder 5 people being drunk or rowdy 6 Disorder 7 litter rubbish Design Factor 1 38 1 16 1 22 1 29 1 29 1 26 1 17 1 22 1 22 1 37 1 35 1 32 1 39 1 44 1 39 1 63 1 37 1 22 1 29 1 22 1 29 1 38 1 39 1 37 1 34 1 44 1 42 1 53 1 50 1 42 1 70 1 78 1 71 1 70 1 88 1 79 1 50 1 71 20 Disorder 8 abandoned cars Confidence in criminal justice system Respects the rights of people accused of committing a crime and treats them fairly Effective in bringing people who commit crimes to justice Deals with cases promptly and efficiently Reducing crime Meets the needs of victims of crime Dealing with young people accused of crime Treats witnesses well Confidence in local police Police in local area doing good or excellent job 1 75 1 41 1 39 1 40 1 43 1 40 1 33 1 37 1 41 21 APPENDIX Classification of incidents crime codes vandalism vandalis 80 Arson 81 Criminal damage to a mot
97. m car CDs tapes videos DVDs Value labels cdtapedvd 1 CDs etc stolen 0 CDs etc not stolen If stolitem 1 or v71 1 hhitems 0 If whast2cc 1 or whast2jj 1 whast2kk 1 or whast2ll 1 or whast8dd 1 or whast3kk 1 or whast3ll 1 or whast38mm 1 hhitems 1 Variable labels hhitems What was stolen from car household items Value labels hhitems 1 Household items stolen 0 Household items not stolen If stolitem 1 or v71 1 foodcigs 0 If whast2ee 1 or whast2ff 1 or whast2hh 1 or whast3ff 1 or whast3gg 1 or whast3ii 1 foodcigs 1 Variable labels foodcigs What was stolen from car food cigarettes toiletries Value labels foodcigs 1 Food cigaretters toiletries stolen 0 Food cigaretters toiletries not stolen If stolitem 1 or v71 1 fuel 0 if vehpar2k 1 or vehpar3h 1 fuel 1 Variable labels fuel What was stolen from car fuel petrol diesel Value labels fuel 1 Fuel stolen 0 Fuel not stolen If stolitem 1 or v71 1 Hkeys 0 if whast2s 1 or whast3s 1 Hkeys 1 Variable labels Hkeys What was stolen from car house keys Value labels Hkeys 1 House keys stolen 0 House keys not stolen If stolitem 1 or v71 1 Ckeys 0 if whast2t 1 or whast3t 1 Ckeys 1 Variable labels Ckeys What was stolen from car car keys Value labels Ckeys 1 Car keys stolen 0 Car keys not stolen If stolitem 1 or v71 1 tax 0 if vehpar2l 21 tax 1 Variable labels tax What was stolen
98. n 2 Night evening or night WHEN INCIDENT TOOK PLACE recode whenvic2 1 1 2 thru 6 2 else sysmis into when1 variable labels when1 When incident took place 2 groups value labels when1 1 Week 2 Weekend WHERE INCIDENT TOOK PLACE recode whervic2 1 thru 10 copy 11 12 12 11 13 12 else sysmis into whervic3 variable labels whervic3 Where incident took place value labels whervic3 1 Own home or own garage including attempted break in 2 Immediately outside home inc shed garden street 3 or near victim s place of work including work car park 4 In public car park 5 In around pub bar night club working men s club 6 In around dancehall disco 7 In around football ground other sports ground 8 In around sports centre sports club 9 In around other place of public entertainment 10 Travelling on transport or near transport facilities 11 Other public or commercial locations 12 Elsewhere LOCATION OF INCIDENT if if if if if if if if if if if if if if if if if if if if if if if if if if if if ownhome 1 locate1 1 ownhome 2 locate1 2 ownhome 3 or outhome 7 locate1 5 outhome 1 locate1 3 outhome 3 or outhome 4 locate1 4 outhome 5 locate1 6 outhome 6 locate1 11 outhome 2 locate1 12 vicwork 1 locate1 7 vicwork 2 locate1 8 vicwork 3 locate1 65 vicwork 4 locate1 9 vicwork 5 locate1 10
99. n frequency of use included Also the questions on age of first use were asked to all those aged 16 to 59 not just 16 to 24 year olds 2004 05 module Questions on age of last use of each drug were added for all those aged 16 to 59 who had ever taken particular drugs 2005 06 module Questions on Ketamine introduced and questions on age when first taken LSD Acid Magic Mushrooms Methadone Physeptone removed 2006 07 module Questions on age of first use and last use of each drug were removed MISSING DATA ON DRUGS MODULE Those people who refuse to take part in self completion drug module are coded as missing in the dataset The BCS drugs dataset also codes as missing those people who reported having taken Semeron Analysis showed that those people who said they had used this fake drug tended to have also said they had taken all other drugs yes to ever year month As these people have given unreliable answers they are coded as missing in the data set There are only a handful of respondents who have claimed having used Semeron so their exclusion makes minimal difference to the sample size NAMES OF DRUGS The list of drugs asked about in the BCS has remained relatively consistent However over time the street names for drugs tend to change To reflect this the BCS has often had to add additional examples to each drug This is necessary so as to maximise the capture of use The table on page 13 shows the drugs asked about in each ro
100. nd if hrp22 and if hrp 2 and ee em e ee eu me Le 2 2 2 e Se 1 Paid work 2 Government training scheme 3 Away from job waiting to take job up 4 Unpaid work 5 Looking for work 6 Student 7 Looking after family home 8 Temporarily sick ill 9 Long term sick ill 10 Retired 11 Other FULL TIME STUDENT STATUS compute rstudy infstudy if whynlook 1 rstudy 1 if sysmis work rstudy 0 recode rstudy sysmis 2 0 8 9 sysmis variable labels rstudy Whether respondent full time student value labels rstudy 1 Yes 2 if hrp21 hstudy infstudy if hrp21 and whynlook 1 hstudy 1 if hrp22 hstudy hrpstudy if hrp22 and hwhynlk 1 hstudy 1 if sysmis work hstudy 0 recode hstudy sysmis 2 0 8 9 sysmis variable labels hstudy Whether HRP full time student value labels hstudy 1 Yes 2 EMPLOYMENT recode RLstWeek 1 2 3 4 1 5 2 6 7 8 9 10 11 3 else sysmis into remploy variable labels remploy Respondent employment status value labels remploy 1 Employed 2 Unemployed 3 Economically inactive recode RLstWeek 1 2 3 4 1 5 2 6 3 7 4 8 9 5 10 6 11 7 else sysmis into remploy2 variable labels remploy2 Respondent employment status incl inactive breakdowns value labels remploy2 1 Employed 2 Unemployed 3 Economically inactive student 4 Economically inactive
101. nder value labels relate 1 Strangers 2 Casual 3 Knew well if if r if if if if if if if if Creating broad offence grouping variable if any offence 11 12 13 21 32 33 41 42 offgroup 1 if any offence 91 92 93 94 offgroup 2 variable labels offgroup Broad offence group for BCS violence excl snatch theft value labels offgroup 1 BCS violence excl snatch theft 2 Threats Setting up the violgrp variable Offrel variables changed in 2006 07 from offrel2 offrel2a etc to offrel3 offrel3a Additional category of ex partner of someone else in household included in acquaintance violence In 2006 07 annual data there are some cases with 2005 06 questionnaire so the syntax below combines the responses any offence 11 12 13 21 32 33 any offence 11 12 13 21 32 33 if any amp relate 1 violgrp 3 if any if any offence 11 12 13 21 32 33 if any any relate 2 3 violgrp 4 any offrel2 1 2 3 4 5 6 7 violgrp 1 any offrel3 1 2 3 4 5 6 7 violgrp 1 offrel2a 1 or offrel2b 1 or offrel2c 1 or offrel2d 1 or offrel2e 1 or any offence 11 12 13 21 32 33 if any offence 11 12 13 21 32 33 offrel2f 1 or offrel2g 1 violgrp 1 if any offence 11 12 13 21 32 33 offrel3f 1 or offrel3g 1 violgrp 1 if any offence 41 42 43 violgrp 2 variable labels violgrp BCS Type of violence value labels violgrp 1 Domestic 2 Muggi
102. ne answer from the list of available options From the 2001 BCS onwards multiple response variables are set up so a set of variables equal to the full number of possible answers that could be given hold the responses to the question The first variable records whether or not the first option was selected the second records whether or not the second option was selected and so on So for example the variable Whemot has ten variables WhemotA to WhemotL If the respondent answers codes 2 and 4 WhemotB WhemotD will be coded 1 and the remaining eight variables will be coded 0 From the 1994 survey up to and including the 2000 survey multiple response variables were coded differently in the same way as above the same number of variables as there are possible answers are set up However the first variable recorded the first answer given the second recorded the second answer given and so on So in the example above there would be ten variables called whemot00 to whemot09 If a respondent answered codes 2 and 4 in response to this question whemot00 would hold the code 2 and whemot01 4 All the other variables would be system missing Prior to the 1994 BCS multiple response variables are denoted by the mr suffix DERIVED VARIABLES In addition to the questions directly asked of respondents the BCS data files also include derived variables There are two sets of derived variables those produced by the survey contractor can be found
103. new version 2006 07 value labels newloc3 1 Home private 2 semi private Home street 4 car park 5 Work street 6 Work other 7 Other car park 8 Other street 9 Public place 10 Other recode locate1 1 2 3 55 56 1 4 5 11 12 2 3 65 4 0 5 8 6 2 14 18 76 22 27 32 37 41 44 48 80 52 60 7 73 15 19 77 23 28 33 45 49 81 53 57 62 8 25 26 29 30 31 34 35 36 38 39 40 42 85 66 69 9 71 74 13 16 17 20 75 78 21 24 43 46 47 50 79 82 83 51 54 61 67 87 10 86 58 59 68 84 97 11 into newloc4 variable labels newloc4 Location of incident 11 groups new version 2006 07 value labels newloc4 1 Home private 2 semi private Home street 4 Work car park 5 Work street 6 Work other 7 Other car park 8 Other street 9 Public Transport 10 Other public place 11 Other 6 9 1 7 7 if any locate1 17 18 20 21 22 24 43 44 46 47 48 50 51 52 54 55 56 58 59 60 66 67 70 75 76 78 79 80 82 87 97 98 99 loctype 1 if any locate1 1 2 3 4 5 6 11 12 68 loctype 2 if any locate1 7 8 9 65 84 loctype 3 if any locate1 10 19 23 28 33 45 49 53 57 61 62 63 64 77 81 83 loctype 4 if any locate1 13 14 15 16 71 72 73 74 loctype 5 m if any locate1 25 26 27 29 30 31 32 34 35 36 37 38 39 40 41 42 69 85 86 loctype 6 variable labels loctype Location of incident for violen
104. ng 3 Stranger 4 Acquaintance go Qo Qo Qo Qo go offrel3a 1 or offrel3b 1 or offrel3c 1 or offrel3d 1 or offrel3e 1 or Setting up the violent variable if any offence 11 12 32 33 violent 1 if any offence 41 42 violent 2 if any offence 13 21 violent 3 if any offence 43 violent 4 format violent f2 0 variable labels violent of violent offence incl snatch theft for trends value labels violent 1 Wounding 2 Robbery 3 Common assault 4 Snatch theft Violent incidents involving injury not compute respinj 0 if injury1 1 respinj 1 variable labels respinj Whether respondent injured in any 2006 07 violent offences involving injury or not excluding snatch theft if offence 211 or offence 212 or offence 13 or offence 21 or offence 32 or offence 33 or offence 41 or offence 242 and respinj 1 violinj2 1 variable labels violinj2 Violence with injury no snatch theft if offence 211 or offence 212 or offence 13 or offence 21 or offence 32 or offence 33 or offence 241 or offence 242 respinj 0 violnoi2 1 variable labels violnoi2 Violence without injury no snatch theft Creating new offence grouping 2006 07 incl two common assault categories with and without injury if any offence 11 12 32 33 violent2 1 if any offence 41 42 violent2 2 if any offence 13 21 and respinj 1 violent2 3 if any offence 13 21 and
105. nger Violgrp3 incidence in last 12 months acquai i Acquaintance Violgrp4 incidence in last 12 months vioinj i Violence with injury incidence in last 12 months vionoi i Violence without injury incidence in last 12 months peracq i Acquisitive crime against individual 41 42 43 44 45 67 73 incidence in last 12 months alvalc i Alcohol related all BCS violence incidence in last 12 months excl snatch theft woundn i Wounding violence with injury incidence in last 12 months asnoij i Assault with no injury incidence in last 12 months cominj i Common assault with injury incidence in last 12 months comnij i Common assault with no injury incidence in last 12 months violrs i All BCS violence 11 12 13 21 32 33 incidence in last 12 months excl robbery A snatch theft viols i All BCS violence 11 12 13 21 32 33 41 41 incidence in last 12 months excl snatch theft vioin2 i Violence with injury excl snatch theft incidence in last 12 months viono2 i Violence without injury excl snatch theft incidence in last 12 months compute allcha i allcrmha 10000 compute allcah i allcrmah 10000 variable labels i Incidence of all crimes based on converting households into adults for CSEs not for estimates allcah i Incidence of all crimes based on converting adults into households for CSEs not for estimates This syntax derives prevalence variables multiples the number of incidents by 100 to
106. o i Burglary with loss 52 incidence in last 12 months theftd i Theft from a dwelling 55 incidence in last 12 months theftf i Theft from a motor vehicle 61 amp 63 incidence in last 12 months thefto i Theft of a motor vehicle 60 amp 62 incidence in last 12 months attmvt i Attempted theft of amp from vehicle 71 amp 72 incidence in last 12 months allmvt i All vehicle thefts 60 61 62 63 71 amp 72 incidence in last 12 months allmvc Al vehicle crime 60 61 62 63 71 72 81 82 incidence in last 12 months biketh i Bicycle theft 64 incidence in last 12 months othhhc_i Other household thefts 50 55 56 57 58 65 incidence in last 12 months tohhcl_i Comparable household 51 52 53 60 61 62 63 64 71 72 80 81 82 83 84 85 86 incidence in last 12 months totalh i All household offences 50 51 52 53 55 56 57 58 60 61 62 63 64 65 71 72 80 81 82 83 84 85 86 incidence in last 12 months acquis i Acquisitive crimes 43 44 45 51 52 53 60 61 62 63 64 71 72 incidence in last 12 months hhacq i Acquisitive crime against household 50 51 52 53 55 56 57 58 60 61 62 63 64 65 71 72 incidence in last 12 months compute sexoff i 2 sexoffen 10000 compute common i 5 10000 compute wound i wounding 10000 compute robber i robbery 10000 compute theftp i theftper 10000 compute thfp r i thfp rob 10000 compute compvi i compvio 10000 compute othpth i othpthef 10000 compute topthc i topt
107. obbery 43 snatch theft from the person 44 other theft from the person 45 attempted theft from the person all personal including sex offences totalper 11 serious wounding 12 other wounding 13 common assault 21 attempted assault 31 rape 32 serious wounding with sexual motive 33 other wounding with sexual motive 34 attempted rape 35 indecent assault 41 robbery 42 attempted robbery 43 snatch theft from the person 44 other theft from the person 45 attempted theft from the person 67 other theft 73 other attempted theft all personal not including sex offences totperls 11 serious wounding 12 other wounding 13 common assault 21 attempted assault 32 serious wounding with sexual motive 33 other wounding with sexual motive 41 robbery 42 attempted robbery 43 snatch theft from the person 44 other theft from the person 45 attempted theft from the person 67 other theft 73 other attempted theft all assault allassau 11 serious wounding 12 other wounding 13 common assault 21 attempted assault 32 serious wounding with sexual motive 33 other wounding with sexual motive robbery and wounding violence 11 serious wounding 12 other wounding 32 serious wounding with sexual motive 33 other wounding with sexual motive 25 41 robbery 42 attempted robbery threats threats 91 threat to kill assault made against but not necessarily to respondent 92 sexual threat made against but not necessarily to
108. ons are entered directly Lynn P and Elliot D 2000 The British Crime Survey A review of methodology London National Centre for Social Research into the laptop by the interviewer There is also a self completion section on sensitive topics at the end of the main interview which is completed by CASI Computer Assisted Self Interviewing A more detailed description of the fieldwork can be found in the technical reports which are available for each survey year http Awww homeoffice gov uk rds pdfs07 bcs0607tech1 WEIGHTING Weighting on the BCS serves three purposes to correct for different sampling rates this is called design weighting to account for differential rates of response between different groups of people the BCS uses calibration weighting to take account of non response in the core sample and to take account of series of similar incidents First the raw data are weighted to compensate for unequal probabilities of selection These include the individual s chance of participation being inversely proportional to the number of adults living in the household the over sampling of smaller police force areas and the selection of one household at multi household addresses More information on design weights can be found in the technical reports which are available for each survey year http www homeoffice gov uk rds pdfs07 bcs0607tech 1 od Second calibration weighting is used to adjust for differential
109. or rent2 2 tenharm 2 if tenure1 4 or tenure1 5 and rent2 3 or rent2 4 or rent2 5 or rent2 6 or rent2 7 tenharm 3 if tenure1 6 tenharm 3 variable labels tenharm ONS Harmonised Tenure type value labels tenharm 1 Owners 2 Social rented sector 3 Private rented sector VEHICLE OWNERSHIP if 1 or motorcyc 1 vehowner 1 variable labels vehowner Vehicle Ownership value labels vehowner 1 Vehicle Owner If motorcyc 0 amp car 0 then vehowner sysmis by default recode ownbike 1 1 else 0 into bikowner variable labels bikowner Bike Owner value labels bikowner 1 Bike Owner recode cartot 1 1 2 2 3 3 4 thru 10 4 into numcars variable labels numcars Number of cars value labels numcars 1 One 2 Two 3 Three 4 Four or more recode numcars 1 thru 4 copy else 0 into numcar2 variable labels numcar2 Number of cars 4 categories incl none value labels numcar2 0 None 1 One 2 Two 3 Three 4 Four or more recode numcars 1 thru 4 3 else 0 into 3 variable labels numcar3 Number of cars 3 categories incl none value labels numcar3 0 None 1 2 Two 3 Three or more recode numcars 1 thru 3 copy 423 into numcar4 variable labels numcar4 Number of cars 3 categories value labels 4 1 One 2 Two 3 Three or more recode numcars 1 thru 4 1 else 0 into numc
110. or vehicle 20 or under 82 Criminal damage to a motor vehicle over 20 83 Criminal damage to the home 20 or under 84 Criminal damage to the home over 20 85 other criminal damage 20 or under 86 other criminal damage over 20 vehicle vandalism mv vand 81 Criminal damage to a motor vehicle 20 or under 82 Criminal damage to a motor vehicle over 20 other vandalism homevand 80 Arson 83 Criminal damage to the home 20 or under 84 Criminal damage to the home over 20 85 other criminal damage 20 or under 86 other criminal damage over 20 burglary burglar 51 burglary in a dwelling nothing taken 52 burglary in a dwelling something taken 53 attempted burglary in a dwelling burglary attempted burgatts 53 attempted burglary in a dwelling burglary attempts and no loss burgatno 51 burglary in a dwelling nothing taken 53 attempted burglary in a dwelling burglary with entry burgentr 51 burglary in a dwelling nothing taken 52 burglary in a dwelling something taken burglary with loss burgloss 52 burglary in a dwelling something taken theft in a dwelling theftdwe 55 theft in a dwelling theft from vehicle theftfmv 61 Theft from car van 63 theft from motorbike motorscooter or moped theft of vehicles theftomv 60 Theft of car van 62 Theft of motorbike motorscooter or moped vehicle crime attempts of and from attmvthf 71 attempted theft of from car
111. oung adult boost Self completion module on drinking behaviour Self completion module on stolen goods Self completion module on domestic violence sexual victimisation and stalking Self completion module on sexual assaults 17 CHAPTER 8 BCS publications BCS PUBLICATIONS e Crime in England amp Wales A full statistical bulletin published in July of each year with detailed findings including regional data This is a pre announced National Statistics publication The latest of these reports which also provides detailed information on police recorded crime figures was published in July 2007 and can be found at http Awww homeoffice gov uk rds crimeew0607 html Factsheets summarising crime statistics for each of the Government Office Regions in England and for Wales can also be found at the link above e Quarterly Update Shorter statistical updates produced on a quarterly basis focusing specifically on victimisation rates and trends These are web only documents based on BCS and police recorded crime which cover headline statistics only Again a National Statistics publication annual bulletin covering drug misuse as reported on the BCS The most recent bulletin for the 2006 07 BCS can be found at http www homeoffice gov uk rds pdfs07 hosb1807 pdf The above references are intended only to illustrate the types of reports and findings that are produced from the BCS For more details on all RDS publications assoc
112. patt7 100 Agree 0 Neither Disagree Recoding all variables to 0 100 police satisfaction variable already coded as 0 100 if if bvpiburg gt 0 bvpiburg 1 00 bvpicar It 3 bvpicar 0 if Dvpicar ge 3 bvpicar 100 if bvpiviol It 4 bvpiviol 0 if bvpiviol ge 4 bvpiviol 100 variable labels bvpiburg BVPI 121 worry about being burgled bvpicar BVPI 121 worry about car crime bvpiviol BVPI 121 worry about violent crime value labels bvpiburg bvpicar bvpiviol 100 High level of worry 0 Not high level of worry H if if confwit2 gt 0 confwit2 1 00 confoff2 gt 0 confoff2 100 if confvic2 gt 0 confvic2 100 if confrig2 gt 0 confrig2 100 if confcas2 gt 0 confcas2 100 variable labels confwit2 Witnesses are treated confoff2 Bringing people to justice confvic2 Meeting the needs of victims confrig2 Respect rights and treats people fairly confcas2 Deals with cases promptly and efficiently value labels confwit2 confoff2 confvic2 confrig2 confcas2 100 Very fairly confident 0 Not very Not at all confident if effred2 gt 0 effred2 100 if effyng2 gt 0 effyng2 100 variable labels effred2 Effective in reducing effyng2 Effective in dealing with young people value labels effred2 effyng2 100 Very fairly effective 0 Not very Not at all effective if teen1 gt 0 teen1 100 if vandals1 gt 0 vandals1 100 if
113. plus SOCIO ECONOMIC EMPLOYMENT VARIABLES OF RESPONDENT AND HRP 2001 AND 2000 QUESTIONS ON ECONOMIC STATUS ARE VERY DIFFERENT SO DERIVED VARIABLES MAY NOT BE 100 IDENTICAL FOR EACH OF THE QUESTIONNAIRE VARIABLES THERE IS AN R VERSION FOR THE RESPONDENT AND H VERSION FOR THE HRP WORK WORKHRP compute rwork work if sysmis work rwork 0 recode rwork 0 8 9 SYSMIS variable labels rwork Respondent working in last 7 days value labels rwork 1 Yes 2 No if hwork work if 2 hwork workhrp if sysmis work hwork 0 recode hwork SYSMIS 2 0 8 9 SYSMIS variable labels hwork HRP working in last 7 days value labels hwork 1 Yes 2 No GOVTSCH HGOVTSC compute rgvtsch govtsch if sysmis work rgvtsch 0 recode rgvtsch SYSMIS 2 0 8 9 SYSMIS variable labels rgvtsch Respondent on government training scheme value labels rgvtsch 1 Yes 2 No if hrp21 hgvtsch govtsch if hrp22 hgvtsch hgovtsc if sysmis work hgvtsch 0 recode hgvtsch SYSMIS 2 0 8 9 SYSMIS variable labels hgvtsch HRP on government training scheme value labels hgvtsch 1 Yes 2 JOBAWY HJOBAWY compute rjbaway jobawy if sysmis work rjbaway 0 recode rjbaway SYSMIS 2 0 8 9 SYSMIS variable labels rjbaway Respondent away from job value labels rjbaway 1 Yes 2 Waiting to take up job if hnrp 1 hjbaway jobawy if hrp22 hjbaway hjobaw
114. r ones are mentioned Within the screener questions a crucial distinction exists between household incidents and personal incidents All vehicle related and property related crimes are considered to be household incidents and respondents are asked about whether anyone currently residing in the household has experienced any incidents within the reference period Personal incidents refer to all crimes against the individual and only relate to things that have happened to the respondent personally and not to other people in the household Second those who have been victimised are asked detailed questions about exactly what happened Since 1996 the BCS has recorded a maximum of six Victim Forms three long Victim Forms and three short Victim Forms This is to reduce the burden put on respondents The three long Victim Forms collect full details of what happened in the incident The three Short Victim Forms only collect the key information required to code an incident into an offence It is important to explain why we use the Victim Form count rather than the responses to the screener questions to produce the count of crime First the level of detail on the Victim Form allows an offence to be given a legal offence code following objective criteria Some incidents from the screeners turn out not to have been criminal incidents at all when followed up in detail between 7 and 10 are not crimes Also the final offence code may not correspond to the scr
115. refore not report it in the interview conversely respondents may remember an earlier incident as happening within the reference period and thus erroneously report it UNWILLINGNESS TO REPORT Respondents may be unwilling to disclose victimisation experiences in a face to face interview setting This is more likely to be the case for some crimes such as domestic violence particularly i Lynn P 1997 Sampling Frame Effects on the British Crime Survey Journal of the Royal Statistical Society 160 Part 2 253 269 if the offender is in the room during interview rape and sexual assault Self completion modules are used to collect sensitive information which alleviates this problem to some extent Prevalence rates for domestic violence are around five times higher for self completion modules than those obtained from the victim form Nicholas et al 2007 DEFINITIONS OF CRIME Incidents which are legally offences may not be reported to the survey if the respondent does not view them as such In an attempt to overcome this problem the BCS screener questions ask whether the respondent has experienced certain types of events They do not refer to crimes use legal terminology or refer to specific offences The definitional problem is particularly relevant to minor incidents and some forms of violence Moreover different social groups may have different perceptions of what does and does not constitute an incident Evidence suggests t
116. respondent 93 other threat or intimidation made against but not necessarily to respondent 94 threats against others made to the respondent total BCS crime without sex offences totalbcs 11 serious wounding 12 other wounding 13 common assault 21 attempted assault 32 serious wounding with sexual motive 33 other wounding with sexual motive 41 robbery 42 attempted robbery 43 snatch theft from the person 44 other theft from the person 45 attempted theft from the person 50 attempted burglary to non connected domestic garage outhouse 51 burglary in a dwelling nothing taken 52 burglary in a dwelling something taken 53 attempted burglary in a dwelling 55 theft in a dwelling 56 theft from a meter 57 burglary from non connected domestic garage outhouse nothing taken 58 burglary from non connected domestic garage outhouse something taken 60 Theft of car van 61 Theft from car van 62 Theft of motorbike motorscooter or moped 63 theft from motorbike motorscooter or moped 64 theft of pedal cycle 65 Theft from outside dwelling excl theft of milk bottles 67 other theft 71 attempted theft of from car van 72 attempted theft of from motorcycle 73 other attempted theft 80 Arson 81 Criminal damage to a motor vehicle 20 or under 82 Criminal damage to a motor vehicle over 20 83 Criminal damage to the home 20 or under 84 Criminal damage to the home over 20 85 other criminal damage 20 or under 86 oth
117. response rates A review of the BCS methodology recommended that the calibration method be adopted in the BCS Lynn and Elliot 2000 The calibration weighting in the BCS is designed to make adjustment for known differentials in response rates between different subgroups age by gender and region and households with different age and gender composition For example a household containing a 24 year old male living alone may be less likely to respond to the survey than a household containing a 24 year old male living with a young partner and a child The procedure therefore gives different weights to different household types based on their age sex composition in such a way that the weighted distribution of individuals in the responding households matches the known distribution in the population as a whole The individual and household design weights are calibrated to produce the individual weight indivwgt which is used for individual based analysis and the household weight hhdwgt which is used for household based analysis For incident based analysis the weight weighti is used For analysis confined to 16 24 year olds a weight based on 16 24 year olds from the main sample and those in the young adults boost sample should be used ypewgf QUESTIONNAIRE The questionnaire has a complex structure consisting of a set of core modules asked of the whole sample a set of modules asked only of different sub samples and self completion modules asked of
118. riminal damage to a motor vehicle 20 or under 82 Criminal damage to a motor vehicle over 20 83 Criminal damage to the home 20 or under 84 Criminal damage to the home over 20 85 other criminal damage 20 or under 86 other criminal damage over 20 all household offences totalhh 50 attempted burglary to non connected domestic garage outhouse 51 burglary in a dwelling nothing taken 52 burglary in a dwelling something taken 53 attempted burglary in a dwelling 55 theft in a dwelling 56 theft from a meter 57 burglary from non connected domestic garage outhouse nothing taken 58 burglary from non connected domestic garage outhouse something taken 60 Theft of car van 61 Theft from car van 62 Theft of motorbike motorscooter or moped 63 theft from motorbike motorscooter or moped 64 theft of pedal cycle 65 Theft from outside dwelling excl theft of milk bottles 71 attempted theft of from car van 72 attempted theft of from motorcycle 80 Arson 23 81 Criminal damage to a motor vehicle 20 or under 82 Criminal damage to a motor vehicle over 20 83 Criminal damage to the home 20 or under 84 Criminal damage to the home over 20 85 other criminal damage 20 or under 86 other criminal damage over 20 acquisitive crimes acquisit 43 snatch theft from the person 44 other theft from the person 45 attempted theft from the person 51 burglary in a dwelling nothing taken 52 burgla
119. rmarket 47 Inside college 48 In a college car 49 In the street in the grounds outside college 50 Not sure where at college 51 Inside other commerical premises 52 In car park of other commerical premises 53 In the street in the grounds outside other commerical premises 54 Not sure where at other commercial premises 55 Inside a friends relatives house 56 In a friends relatives garage car port car park 57 In the street outside friends relatives house 58 Not sure where at friends relatives house 59 Inside another building 60 In another carpark 61 In subway under street or road 62 In another street or road 63 At a park common or other public open space 64 At an urban waste ground or building site 65 In a garage at work 66 a boat 67 At allotments 68 Dont know where at home or outside home 69 Dont know where on transport 70 At a caravan site 71 Inside pub bar nightclub 72 Car park of pub bar nightclub 73 Street outside pub bar nightclub 74 Not sure where at pub bar nightclub 75 Inside sports centre club 76 Car park of sports centre club 77 Street outside sports centre club 78 Not sure where at sports centre club 79 Inside church mosque 80 Car park of church mosque 81 Street outside church mosque 82 Not sure where at church mosque 83 At a street market 84 Dont know where at victims place of wor
120. ry in a dwelling something taken 53 attempted burglary in a dwelling 60 Theft of car van 61 Theft from car van 62 Theft of motorbike motorscooter or moped 63 theft from motorbike motorscooter or moped 64 theft of pedal cycle 71 attempted theft of from car van 72 attempted theft of from motorcycle sexual offences sexoffen 31 rape 34 attempted rape 35 indecent assault common assault commonas 13 common assault 21 attempted assault wounding wounding 11 serious wounding 12 other wounding 32 serious wounding with sexual motive 33 other wounding with sexual motive robbery robbery 41 robbery 42 attempted robbery theft from the person theftper 43 snatch theft from the person 44 other theft from the person 45 attempted theft from the person theft from person amp robbery thfp rob 41 robbery 42 attempted robbery 43 snatch theft from the person 44 other theft from the person 45 attempted theft from the person comparable violence compvio 13 common assault 21 attempted assault 11 serious wounding 12 other wounding 32 serious wounding with sexual motive 33 other wounding with sexual motive 41 robbery 42 attempted robbery 24 other thefts of personal property othpthef 67 other theft 73 other attempted theft comparable personal topthcls 11 serious wounding 12 other wounding 32 serious wounding with sexual motive 33 other wounding with sexual motive 41 robbery 42 attempted r
121. s stolen mobile phone stolen jewellery stolen clothing stolen documents stolen computers other electrical goods stolen CDs tapes videos DVDs stolen house keys stolen car keys stolen tools or work materials other stolen items stolen food toiletries cigarettes Value labels whast t1 to whast t16 0 1 Yes Vehicle theft combining categories of items stolen If stolitem 1 or v71 1 vehstole 0 If whast2a 1 or whast2b 1 or whast3a 1 or whast3a 1 vehstole 1 Variable labels vehstole What was stolen car van motorcycle motorised scooter moped Value labels vehstole 1 Vehicle stolen 0 Vehicle not stolen If If If If If If stolitem 1 or v71 1 valstol 0 whast2d 1 or whast3d 1 valstol 1 whasi2e 1 or whast3e 1 valstol 1 whast2f 1 or whast3f 1 valstol 1 whast2g 1 or whast3g 1 valstol 1 whast2h 1 or whast3h 1 valstol 1 If whast2j 1 or whast3j 1 valstol 1 If whast2k 1 or whast3k 1 valstol 1 If whast2l 1 or whast3l 1 valstol 1 Variable labels valstol What was stolen from car valuables Value labels valstol 1 Valuables stolen 0 Valuables not stolen ai e stolitem 1 or v71 1 electric 0 whast2m 1 or whast3m 1 electric 1 whast2n 1 or whast3n 1 electric 1 whast2q 1 or whast3q 1 electric 1 If whast2y 1 or whast3y 1 electric 1 Variable labels electric What was stolen from car electrical items Value labels electric
122. s cameras stolen computer computer equipment stolen CDs tapes videos DVDs stolen house keys stolen car keys stolen tools or work materials stolen bicycle or bicycle parts stolen garden furniture stolen wheely bin dustbin stolen childrens toys or baby items stolen sports equipment other stolen items stolen household items furniture stolen food toiletries cigarettes stolen briefcase handbag shopping bag Value labels whast b1 to whast b i 0 1 Yes Theft from person combining categories of items stolen Removing DK and Refused and combining categories Do repeat r whast t1 to whast 116 If xwhast2a 1 or xwhast2a 0 or xwhast3a 1 or xwhast3a 0 r End repeat If xwhast2j If xwhast2i 1 or xwhast3i 1 or xwhast3j xwhast2k 1 or xwhast3k 1 whast_t8 1 xwhast2l 1 or xwhast3l 1 whast_t9 1 xwhast2d 1 or xwhast3d 1 whast 11 1 xwhast2e 1 or xwhast3e 1 whast_t2 1 xwhast2f 1 or xwhast3fz1 13 1 xwhast2g 1 or xwhast3g 1 whast t4 xwhast2h 1 or xwhast3h 1 whast t5 1 whast_t6 1 1 whast_t7 1 0 If xwhast2m 1 or xwhast2n 1 or xwhast2o 1 or xwhast2p 1 or xwhast2q 1 or xwhast2y 1 or xwhast3m 1 or xwhast3n 1 or xwhast30 1 xwhast3p 1 xwhast3q 1 xwhast3y 1 whast_t10 1 If xwhast2r 1 or xwhast3r 1 whast t11 1 If xwhast2aa 1 If xwhast2s 1 or xwha
123. s contacts between the public and the police attitudes towards aspects of the criminal justice system and self reported use of illicit drugs The survey was first conducted in 1982 with further cycles in 1984 1988 1992 1994 1996 1998 2000 and 2001 The first survey was carried out in England Wales amp Scotland hence British Crime Survey as was the third survey The BCS now only covers England and Wales as Scotland now has its own survey as does Northern Ireland In 2001 the BCS moved to an annual format with continuous sampling As a survey of private households the BCS does not cover commercial victimisation e g thefts from businesses and shops and frauds The BCS crime count also excludes so called victimless crimes e g illegal drug use and crimes against non resident overseas visitors The booklet linked below examines how the BCS has changed and what has happened to trends in crime and people s perceptions about crime over the last 25 years http www homeoffice gov uk rds pdfs07 bcs25 pdf CHAPTER 2 Sample design and methodology The BCS sample is designed to give both a representative cross section of private households in England and Wales and of individuals aged 16 and over living in them The survey does not cover the population resident in institutions such as halls of residence those in residential care those in prison or members of the armed forces living on armed force bases Nor does it currently
124. s deposited at the UKDA from 2006 07 The victimisation module data is kept as a separate file because it is a file based on incidents not people All other parts of the questionnaire are based on respondents that is they have a case by variable structure in which each case is a unique individual In contrast the Victim File is based on incidents reported by respondents thus only those who have been a victim will appear in this file External researchers who would like to conduct secondary analysis of BCS data should contact the Economic and Social Data Service at www esds ac uk or UK Data Archive University of Essex Colchester CO4 3SQ Users of BCS data are requested to supply the UKDA with the bibliographic details of any published work CHANGES FROM 2006 07 For the first time the main BCS 2006 07 dataset includes aggregated offence data from the Victim File see Appendix C for classification of incidents alongside the usual demographic information and all the data collected from the core questionnaire and associated modules This means users will be able to create incidence and prevalence rates and look at repeat victimisation using variables which already exist on the dataset From 2006 07 the self completion drugs data file will include those aged 16 24 from the young adult boost and those aged 16 59 from the main sample who have completed the module The weight indivwgt should be used when analysing 16 59 year olds and the weigh
125. secpin Stereo security radsec Any stereo security Value labels centloc to radsec 1 Yes 2 if parkdoo0 1 unlocked 1 if parkdoo1 1 unlocked 1 if parkdoo0 2 unlocked 2 if parkdoo1 2 unlocked 2 if parkdoo0 3 unlocked 3 if parkdoo1 3 unlocked 3 if parkdoo0 4 unlocked 4 if parkdoo1 4 unlocked 4 if parkdoo0 5 unlocked 5 if parkdoo1 5 unlocked 5 if parkdo00 1 notimmob 1 if parkdo02 1 notimmob 1 if parkdo00 2 notimmob 2 if parkdo02 2 notimmob 2 if parkdo00 3 notimmob 3 if parkdo02 3 notimmob 3 if parkdo00 4 notimmob 4 if parkdo02 4 notimmob 4 if parkdo00 5 notimmob 5 if parkdo02 5 notimmob 5 variable labels unlocked How often car doors left unlocked notimmob How often mechanical immobiliser used value labels unlocked notimmob 1 Always 2 Almost always 3 Sometimes 4 Rarely 5 Never NUMBER OF ADULTS AND CHILDREN recode nadults nchil 121 222 323 424 5 thru 1025 into nadultgp nchilgrp variable labels nadultgp Number of adults in household grouped variable labels nchilgrp Number of children in household grouped value labels nadultgp nchilgrp 1 One 2 Two 3 Three 4 Four 5 Five or recode nchil 0 0 1 1 2 2 3 3 4 4 5 thru 10 5 into nchilgp2 variable labels nchilgp2 Number of children in household incl none grouped value labels nchilgp2 0 No children 1 One 2 Two 3 Three 4 Four 5 Fi
126. sers Postcode Address File PAF has been used as the sampling frame for the BCS The PAF listing all postal delivery points in the country represents the most complete register of household addresses Each postcode sector is used as a Primary Sampling Unit PSU Sampling is carried out to ensure that a nationally representative sample of sectors is issued each quarter In all rounds of the BCS a relatively high response rate has been achieved see Appendix A The main reasons for non response at eligible addresses are a refusal either by the selected person or by the household before the respondent has been selected and b non contact A more detailed description of the sample design can be found in the technical reports which are available for each survey year http www homeoffice gov uk rds pdfs07 bcs0607tech1 pdf FIELDWORK All selected addresses are sent a letter and a leaflet from the Home Office in advance of an interviewer calling at the address These explain a little about the survey why their address has been selected and tries to answer some questions that potential respondents may have such as issues relating to confidentiality On making contact at an address an interviewer selects one individual aged 16 or over per household for interview by a random method Respondents are interviewed face to face in their own home Since 1994 the BCS has used Computer Assisted Personal Interviewing CAPI Responses to questi
127. st3s 1 whast t12 1 xwhast2t 1 or xwhast3t 1 whast t13 1 If xwhast2u 1 or xwhast3u 1 or xwhast2z 1 or If xwhast2a 1 or xwhast2b 1 or xwhast2c 1 or xwhast3aa 1 whast_t14 1 xwhast2v 1 or xwhast2w 1 or xwhast2x 1 or or xwhast2bb 1 or xwhast2cc 1 or xwhast2dd 1 or xwhast2gg 1 or xwhast2jj 1 or xwhast2kk 1 or xwhast2ll 1 or xwhast2mm 1 or xwhast2nn 1 or xwhast200 or xwhast2ii 1 or xwhast3a 1 or xwhast3b 1 or xwhast3c 1 or xwhast3v 1 or xwhast3w 1 or xwhast3x 1 or xwhast3bb 1 or xwhast3cc 1 xwhast3dd 1 or xwhast3ee 1 or xwhast3hhz1 or xwhast3kk 1 xwhast3ll 1 or xwhast2mm 1 or xwhast3nn 1 xwhast300 1 or xwhast3pp or xwhast3jj 1 whast 115 1 If xwhast2ee 1 or xwhast2ff 1 or xwhast2hh 1 or xwhast3ff 1 or xwhast3gg 1 or xwhast3ii 1 whast_t16 1 Variable labels whast t1 Personal theft stolen briefcase handbag shopping bag whast t2 Personal theft whast t3 Personal theft whast t4 Personal theft whast t5 Personal theft whast t6 Personal theft whast t7 Personal theft whast t8 Personal theft whast t9 Personal theft whast t10 Personal theft whast t11 Personal theft whast t12 Personal theft whast t13 Personal theft whast t14 Personal theft whast t15 Personal theft whast t16 Personal theft stolen purse wallet stolen cash stolen cheque book stolen credit debit store card
128. stimates from successive years of the survey or between population subgroups may occur by chance Tests of statistical significance are used to identify which differences are unlikely to have occurred by chance The BCS has a complex design and therefore uses specialist software to calculate complex standard errors for key BCS estimates For ad hoc analysis the complex standard error for a variable can also be estimated using an estimation of the Deft Deft is the ratio of the actual standard error for the complex design to the standard error from a Simple Random Sample of the equivalent size The Home Office tends to uses a Deft of 1 2 in BCS analysis see Appendix B for table of design effects used in 2006 07 data In Home Office published reports tests at the five per cent significance levels are applied the level at which there is a one in 20 chance of incorrectly identifying a difference solely due to chance variation unless otherwise stated CHAPTER 5 BCS drugs module Since 1996 the BCS has included a self completion module on illicit drug use Data from the module is currently published in an annual statistical bulletin with results based on 16 59 year olds who have completed the drugs module and 16 to 24 year olds interviewed as part of the BCS young adult boost YOUNG ADULT BOOST Since 2001 the BCS has included a boost of approximately 2 000 interviews with 16 to 24 year olds identified through screening at the main a
129. t 12 months burgla r Burglary 51 52 53 victimisation in last 12 months burgat r Burglary attempts 53 victimisation in last 12 months burgno r Burglary attempts and no loss 51 amp 53 victimisation in last 12 months burgen r Burglary with entry 51 amp 52 victimisation in last 12 months burglo r Burglary with loss 52 victimisation in last 12 months theftd r Theft from a dwelling 55 victimisation in last 12 months theftf r Theft from a motor vehicle 61 amp 63 victimisation in last 12 months thefto r Theft of a motor vehicle 60 amp 62 victimisation in last 12 months attmvt r Attempted theft of amp from vehicle 71 amp 72 victimisation in last 12 months allmvt r All vehicle thefts 60 61 62 63 71 amp 72 victimisation in last 12 months allmvc r All vehicle crime 60 61 62 63 71 72 81 82 victimisation in last 12 months biketh Bicycle theft 64 victimisation in last 12 months othhhc r Other household thefts 50 55 56 57 58 65 victimisation in last 12 months tohhcl Comparable household 51 52 53 60 61 62 63 64 71 72 80 81 82 83 84 85 86 victimisation in last 12 months totalh r All household offences 50 51 52 53 55 56 57 58 60 61 62 63 64 65 71 72 80 81 82 83 84 85 86 victimisation in last 12 months acquis r Acquisitive crimes 43 44 45 51 52 53 60 61 62 63 64 71 72 victimisation in last 12 months hhacq r Acquisitive crime against household 50 51 52 53 55 56 57 58 60 61 62 63 64 65 71 72
130. t crime value labels loctype 1 Other location 2 Around the home 3 Around work 4 Street 5 Pub or club 6 Public transport Creating single variables for each type of security if vcentlo1 1 or vcentlo2 1 vcentlo 1 if vcentlo1 2 or vcentlo2 2 vcentlo 2 if vcarala121 or vcarala2 1 vcarala 1 if vearala1 2 or vcarala2 2 vcarala 2 if vimmob121 or vimmob3 1 vimmobm 1 if vimmob122 or vimmob3 2 vimmobm 2 if vimmob2 1 or vimmob4 1 vimmobe 1 if vimmob2 2 or vimmob4 2 vimmobe 2 if vimmobmz1 or vimmobe 1 vanyimob 1 if vimmobmz2 and vimmobe 2 vanyimob 2 if vvtrack1 1 or vvtrack2 1 vvtrack 1 if vvtrack1 2 or vvtrack2 2 vvtrack 2 if vvetch1 1 or 2 1 vvetch 1 if vvetch1 2 or 2 2 vvetch 2 if vrcascd1 1 or vrcascd2 1 vrcascd 1 if vrcascd1 2 or vrcascd2 2 vrcascd 2 if vremove1 1 or vremove2 1 vremove 1 if vremove1 2 or vremove2 2 vremove 2 if vsecpin1 1 or vsecpin2 1 vsecpin 1 if vsecpin1 2 or vsecpin2 2 vsecpin 2 if vremove 1 or vsecpin 1 vradsec 1 if vremove 2 and vsecpin 2 vradsec 2 variable labels vcentlo Central locking vcarala Car alarm vimmobm Mechanical immobiliser vimmobe Electronic immobiliser vanyimob Any immobiliser vvtrack Vehicle tracking device vvetch Window etching vrcascd Car has radio or cass
131. t variable should be used when analysing just the 16 24 year old group From 2006 07 the Home Office will also be depositing a privilege access dataset which will contain lower geographical area variables than currently deposited These will be available through a special access licence More information on this data will be available shortly Table 2 below shows the naming conventions on data files that will be adopted from 2006 07 onwards Note that not all self completions are currently deposited because of confidentiality and anonymity issues Table 2 BCS Datasets deposited at UK Data Archive from 2006 07 Name of dataset Content BCS ApryyMaryy to ESRC BCS ApryyMaryy VF to ESRC Main BCS data with additional derived variables Victim file BCS ApryyMaryy privilege access to ESRC Main BCS data with additional derived variables and lower geographical area variables BCS ApryyMaryy young adult to ESRC BCS ApryyMaryy VF young adult to ESRC Main young adult data file young adult boost cases only Young adult victim file young adult boost cases only BCS ApryyMaryy drugs sc module BCS ApryyMaryy drinking behaviour sc module BCS ApryyMaryy stolen goods sc module BCS ApryyMaryy inter personal violence sc module BCS ApryyMaryy sexual assaults sc module Self completion module on illicit drug use 16 59 year olds from main sample and 16 24 year olds from y
132. ted violence only asked if offender school age or above if drinkin121 or drinkinf 1 drink 1 if drinkin122 or drinkinf 2 drink 2 if drinkin123 or drinkinf 3 drink 9 if drinkin129 or drinkinf 9 drink 9 variable labels drink Whether offender was under the influence of drink value labels drink 1 Yes 2 9 know if druginf1 1 or druginf 1 drug 1 if druginf1 2 or druginf 2 drug 2 if druginf1 3 or druginf 3 drug 9 if druginf1 9 or druginf 9 drug 9 variable labels drug Whether offender was under the influence of drugs value labels drug 1 Yes 2 9 know
133. tf recode theftomv 0 else copy into thefto_r recode attmvthf O sysmis else copy into attmvt r recode allmvthf 02sysmis else copy into allmvt r recode allmvcri 0 else copy into allmvc recode bikethef 0 sysmis else copy into biketh recode othhhctd 0 else copy into othhhc recode tohhcltd 0 else copy into tohhcl recode totalhh 0 else copy into totalh recode acquisit O2sysmis else copy into acquis recode hhldacq 02sysmis else copy into hhacq r recode sexoffen 0 else copy into sexoff recode commonas 0 sysmis else copy into common r recode wounding O sysmis else copy into wound r recode robbery O sysmis else copy into robber_r recode theftper O sysmis else copy into theftp recode thfp rob 0 else copy into thfp r recode compvio 0 else copy into compvi recode othpthef O sysmis else copy into othpth_r recode topthcls 0 else copy into topthc recode totalper 0 sysmis else copy into totalp r recode totperls O sysmis else copy into totper recode allassau 0 else copy into allass recode violence 0 else copy into violen recode threats 0 sysmis else copy into threat recode totalbcs 0 sysmis else copy into totalb recode allviol 0
134. ther incl Chinese and recode ethnic 1 thru 321 4 thru 7 2 8 thru 11 3 12 thru 14 4 15 thru 16 5 98 9926 else sysmis into ethgrp5 variable labels ethgrp5 Ethnic Group 5 categories harmonised value labels ethgrp5 1 White 2 Mixed 3 Asian or Asian British 4 Black or Black British 5 Chinese or Other 6 Not stated HOUSEHOLD REFERENCE PERSON ETHNICITY USES ONS LEVEL 2 CLASSIFICATION For household offences it is the ethnicity of the HRP that is needed not that of the respondent compute ethnhead 0 HRP is respondent recode ethnic 1 2 3 1 4 5 6 7 2 8 9 10 11 3 12 13 14 4 15 16 5 into ethnicta if whohrp 1 ethnhead ethnic1a recode ethnic 1 2 3 1 4 5 6 7 2 8 9 10 11 3 12 13 14 24 15 16 5 98 99 6 into ethnic1b if whohrp 1 ethnhead2 ethnic1 b HRP is person 2 recode ethnic2 1 2 3 1 4 5 6 7 2 8 9 10 11 3 12 13 14 24 15 16 5 into ethnic2a if whohrp2 1 ethnhead ethnic2a recode ethnic2 1 2 3 1 4 5 6 7 2 8 9 10 11 3 12 13 14 4 15 16 5 98 99 6 into ethnic2b if whohrp2 1 ethnhead2 ethnic2b HRP is person 3 recode ethnic3 1 2 3 1 4 5 6 7 2 8 9 10 11 3 12 13 14 24 15 16 5 into ethnic3a if whohrp3 1 ethnhead ethnic3a recode ethnic3 1 2 3 1 4 5 6 7 2 8 9 10 11 3 12 13 14 4 15 16 5 98 99 6 into ethnic3b if whohrp3 1 ethnhead2 ethnic3b
135. tisfied were you with MOST RECENT contact with the police recoded value labels witsat 1 satisfied 2 Fairly satisfied bit dissatisfied 4 dissatisfied recode witsat 1 2 1 3 4 0 else sysmis into witsat2 KDI s new policing questions Recode polatt1 1 thru 2 100 3 thru 5 0 else sysmis into patt1 Recode polatt2 1 thru 2 100 3 thru 5 0 else sysmis into patt2 Recode polatt3 1 thru 2 100 3 thru 5 0 else sysmis into patt3 Recode polatt4 1 thru 2 100 3 thru 5 0 else sysmis into patt4 Recode polatt5 1 thru 2 100 3 thru 5 0 else sysmis into patt5 Recode polatt6 1 thru 2 100 3 thru 5 0 else sysmis into patt6 Recode polatt7 1 thru 2 100 3 thru 5 0 else sysmis into patt7 variable labels patti Police in this area can be relied on to be there when you need recoded patt2 Police in this area would treat you with respect if you had contact with them recoded patt3 Police in this area treat everyone fairly regardless of who they are recoded patt4 Police in this area can be relied on to deal with minor crimes recoded patt5 Police in this area understand the issues that affect this community recoded patt6 Police in this area are dealing with the things that matter to this community recoded Taking everything into account have confidence in the police in this area recoded value labels patt1 to
136. to got in through value labels door 1 Tried to got in through door if any frontbac2 1 2 3 4 window 0 if throwind 1 window 1 variable labels window Burglary entry tried to got in through window value labels window 1 Tried to got in through window if any frontbac2 1 2 3 4 otherent 0 if othentry 1 otherent 1 variable labels otherent Burglary entry tried to got in any other value labels otherent 1 Tried to got in any other OF ENTRY THROUGH DOOR if entdoor 1 or entdoor 2 doorpush 0 if howdoo2a 1 doorpush 1 variable labels doorpush How offender got through door pushed past value labels doorpush 1 Tried to push past person who opened door if entdoor 1 or entdoor 2 doorlock 0 if howdoo2b 1 doorlock 1 variable labels doorlock How offender got through door door not locked value labels doorlock 1 Door was not locked if entdoor 1 or entdoor 2 doorkey 0 if howdoo2c 1 doorkey 1 variable labels doorkey How offender got through door they had key value labels doorkey 1 Offender had key if entdoor 1 or entdoor 2 doorforc 0 if howdoo2d 1 doorforc 1 variable labels doorforc How offender got through door force break lock value labels doorforc 1 Tried to force break lock if entdoor 1 or entdoor 2 doorcut 0 if Rowdoo2e 1 doorcut 1 variable labels doorcut How offender got thro
137. ts 60 61 62 63 71 amp 72 victimisation in last 12 months allmvc r2 All vehicle crime 60 61 62 63 71 72 81 82 victimisation in last 12 months biketh r2 Bicycle theft 64 victimisation in last 12 months othhhc r2 Other household thefts 50 55 56 57 58 65 victimisation in last 12 months tohhcl_r2 Comparable household 51 52 53 60 61 62 63 64 71 72 80 81 82 83 84 85 86 victimisation in last 12 months totalh_r2 household offences 50 51 52 53 55 56 57 58 60 61 62 63 64 65 71 72 80 81 82 83 84 85 86 victimisation in last 12 months acquis r2 Acquisitive crimes 43 44 45 51 52 53 60 61 62 63 64 71 72 victimisation in last 12 months hhacq_r2 Acquisitive crime against household 50 51 52 53 55 56 57 58 60 61 62 63 64 65 71 72 victimisation in last 12 months sexoff_r2 Sexual offences 31 34 amp 35 victimisation in last 12 months common_r2 Common assault 13 21 victimisation in last 12 months wound r2 Wounding 11 12 32 33 victimisation in last 12 months robber_r2 Robbery 41 42 victimisation in last 12 months theftp r2 Theft from person 43 44 45 victimisation in last 12 months thfp r r2 Theft from person amp robbery 41 42 43 44 45 victimisation in last 12 months compvi r2 comparative violence 13 21 11 12 32 33 41 42 victimisation in last 12 months othpth r2 Other theft of personal property 67 73 victimisation in last 12 months topthc r2 Comparable personal 11 12 32 33 41 42 43 44 45 victimisat
138. ugh door break cut out panel value labels doorcut 1 Tried to break cut out panel if entdoor 1 or entdoor 2 doorcut 0 if Rowdoo2f 1 doorpret 1 variable labels doorpret How offender got through door false pretences value labels doorpret 1 false pretences if entdoor 1or entdoor 2 doorglas 0 if howdoo2g 1 doorglas 1 variable labels doorglas How offender got through door break smash glass value labels doorglas 1 Tried to break smash glass if entdoor 1or entdoor 2 doorkick 0 if howdoo2h 1 doorkick 1 variable labels doorkick How offender got through door kick smash ram door value labels doorkick 1 Tried to kick smash ram door if entdoor 1or entdoor 2 dooroth 0 if Rowdoo2i 1 dooroth 1 variable labels dooroth How offender got through door other value labels dooroth 1 Other method to get through OF ENTRY THROUGH WINDOW if throwind 1 or throwind 2 winpush 0 if howwinda 1 winpush 1 variable labels winpush How offender got through window open value labels winpush 1 Window was open if throwind 1 or throwind 2 winlock 0 if howwindb 1 winlock 1 variable labels winlock How offender got through window lock catch value labels winlock 1 Tried to force window lock catch if throwind 1 or throwind 2 wincut 0 if howwindc 1 wincut 1 variable labels wincut How offender got through windo
139. und and the list of examples that is used to describe the drug There are also questions on e Taking pills powder unknown e Smoking something unknown e Taking something else they thought knew was a drug Table 1 Street name of drugs included in the BCS drugs module 1996 2006 07 Drug Amphetamines Cannabis Cocaine Crack Ecstasy Heroin LSD Acid Magic Mushrooms Methadone Physeptone Semeron Tranquillizers Nitrite Anabolic steroids Ketamine Glues 1996 Speed Whizz Uppers Marijuana Grass Hash Ganja Blow Draw Skunk Coke Rock Stones P Smack Skag H LSD Acid Magic Mushrooms Methadone Physeptone Semeron Tranquillizers Temazepam Valium Poppers Steroids Glues Solvents Gas Aerosols 1998 Speed Whizz Uppers Marijuana Grass Hash Ganja Blow Draw Skunk Coke Rock Stones P Smack Skag H LSD Acid Magic Mushrooms Methadone Physeptone Semeron Tranquillizers Temazepam Valium Poppers Steroids Glues Solvents Gas Aerosols 2000 Speed Whizz Uppers Billy Marijuana Grass Hash Ganja Blow Draw Skunk Weed Spliff Coke Rock Stones P Smack Skag H Brown LSD Acid Magic Mushrooms Methadone Physeptone Semeron Tranquillizers Temazepam Valium Poppers Steroids Glues Solvents Gas Aerosols 2001 02 Speed Whizz Uppers Billy Marijuana Grass Hash Ganja Blow Draw Skunk Weed Spliff Coke Roc
140. ute xwhast8mm whast3mm Compute xwhast3nn whast3nn Compute xwhast3oo whast3oo Compute xwhast3pp whast3pp Compute xwhast3qq whast3qq Compute xwhast rr whast rr Removing DK and Refused Do if xwhast2pp 1 or xwhast2qq 1 Recode xwhast2a to xwhast200 1 0 sysmis End if Do if xwhast3qq 1 or xwhast3rr 1 Recode xwhast3a to xwhast3pp 1 0 sysmis End if Burglary combining categories Do repeat r whast_b1 to whast 521 If xwhast2a 1 or xwhast2a 0 or xwhast3a 1 or xwhast3a 0 r 0 End repeat If xwhast2a 1 or xwhast2b 1 or xwhast2c 1 or xwhast3a 1 or xwhast3b 1 or xwhast3c 1 whast_b1 1 If xwhast2e 1 or xwhast3e 1 xwhast2f 1 or xwhast3f 1 or xwhast2g 1 or xwhast3g 1 or xwhast2h 1 xwhast8h 1 whast_b2 1 If xwhast2i 1 or xwhast3i 1 whast_b3 1 If xwhast2j 1 or xwhast3j 1 whast_b4 1 If xwhast2k 1 or xwhast3k 1 whast_b5 1 If xwhast2l 1 or xwhast3l 1 whast_b6 1 If xwhast2m 1 or xwhast8m 1 or xwhast2n 1 or xwhast3n 1 or xwhast20 1 or xwhast30 1 or xwhast2p 1 or xwhast3p 1 Si xwhast2bb 1 or xwhast3cc 1 xwhast2y 1 xwhast3y 1 whast_b7 1 If xwhast2q 1 or xwhast3q 1 whast_b8 1 If xwhast2r 1 or xwhast8r 1 whast_b9 1 If xwhast2s 1 or xwhast3s 1 whast_b10 1 If xwhast2t 1 or xwhast3t 1 whast_b11 1 If xwhast2u 1 or xwhast3u 1 or xwhast2z 1 or xwhast3aa 1 whast_b12 1 If x
141. ve or more HRP AGE mHRPick VarRoot Age NVar NAdults variable labels hrpage Age of Household Reference Person recode hrpage 16 thru 29 1 30 thru 59 2 60 thru 99 3 else sysmis into hrpagegp variable labels hrpagegp Age of Household Reference Person 3 bands value labels hrpagegp 1116 29 2 30 59 3 60 recode hrpage 16 thru 19 1 20 thru 24 2 25 thru 34 3 35 thru 44 4 45 thru 54 5 55 thru 64 6 65 thru 74 7 75 thru 84 8 85 thru 99 9 else sysmis into hpagelng variable labels hpagelng Age of Household Reference Person 9 bands value labels hpagelng 1116 19 2720 24 3725 34 4 85 44 5 45 54 6 55 64 7 65 74 8 75 84 9 85 recode hrpage 16 thru 24 1 25 thru 44 2 45 thru 64 3 65 thru 74 4 75 thru 99 5 else sysmis into hpagesht variable labels hpagesht Age of Household Reference Person 5 bands value labels hpagesht 1 16 24 2 25 44 3 45 64 4 65 74 5 754 recode hrpage 16 thru 24 1 25 thru 34 2 35 thru 44 3 45 thru 54 4 55 thru 64 5 65 thru 74 6 75 thru 99 7 else sysmis into hrpage7 variable labels hrpage7 Age of Household Reference Person 7 bands value labels hrpage7 1 16 24 2 25 34 3 35 44 4 45 54 5 55 64 6 65 74 7 754 HRP OF WORKING AGE recode hrpage 16 thru 59 1 into wrkage2 if 2 and wrkage2 1 hworkage 1 recode hrpage 16 thru 64 1 into wrkage2 if
142. vic2 recode confrig 1 1 2 1 3 0 4 0 else sysmis into confrig2 recode confcase 1 1 2 1 3 0 4 0 else sysmis into confcas2 recode effred 1 1 2 1 8 0 4 0 else sysmis into effred2 recode effyng 1 1 2 1 8 0 4 0 else sysmis into effyng2 PUBLIC SATISFACTION WITH THE POLICE HOW GOOD A JOB QUESTION recode jobpol 1 thru 22100 3 thru 520 else sysmis into jobpol variable label jobpol1 Public satisfaction with the police value labels jobpol1 100 Excellent or good job 0 Fair or poor job PUBLIC SATISFACTION WITH THE LOCAL POLICE HOW GOOD A JOB QUESTION recode ratpol2 1 thru 22100 3 thru 520 else sysmis into ratpol3 variable label ratpol3 Public satisfaction with the police value labels ratpol3 100 Excellent or good job 0 Fair or poor job CRIME RATE IN THE UK recode crimuk 1 2100 2 thru 5 0 else sysmis into crimuk1 variable labels crimuk1 Has level of crime in the country changed in last 2 years recoded value labels crimuk1 100 Lot more Not lot CRIME RATE LOCALLY recode crimerat 1 2100 2 thru 5 0 else sysmis into crime1 variable labels crime1 Has level of crime locally changed in last 2 years recoded value labels crime1 100 Lot more 0 Not_lot more WITNESS SATISFACTION polsatwi 1 thru 4 copy else sysmis into witsat variable labels witsat How satisfied or dissa
143. w break cut out glass value labels wincut 1 Tried to break cut out glass if throwind 1 or throwind 2 winoth 0 if howwindd 1 winoth 1 variable labels winoth How offender got through window other value labels winoth 1 Other method to get through window ENTRY BY FALSE PRETENCES if offinho2 1 or offinho2 2 or tryinsi2 1 or tryinsi2 2 falseent 0 if offinvit 3 or insidefp 1 or tryfpins 1 or howdoo2f 1 falseent 1 variable labels falseent Tried to get in using false pretences value labels falseent 1 Tried to get in using false pretences DAMAGE TO HOUSE FLAT compute anydam 0 if damhoma 1 or damhomb 1 or damhomc 1 or damhomd 1 or damhome 1 or damhomf 1 or damhomg 1 or damhomh 1 anydam 1 variable labels anydam Any damage to housefflat value labels anydam 1 Damage 0 damage SERIOUSNESS OF CRIME recode scorcrm2 99 sysmis 98 sysmis else copy into score1 variable labels score Score for seriousness of crime excl DK RF recode score 1 thru 6 1 7 thru 13 2 14 thru 20 3 else sysmis into score2 variable labels score2 Grouped score for seriousness of crime value labels score2 1 1 to 6 2 7 13 3 14 to 20 USE OF THREAT OR FORCE if useforce 1 or v710 1 force 1 if useforce 2 force 2 variable labels force Whether force or violence used value labels force 1 Yes used force 2 force not used if
144. weapon 8 9 glass 9 if any weapon 8 9 gun 9 if any weapon 8 9 knife 9 if any weapon 8 9 stabbing 9 if any weapon 8 9 hitting 9 if any weapon 8 9 syringe 9 if any weapon 8 9 stones 9 if any weapon 8 9 othweap 9 if any weapon 8 9 othweap2 9 if glass 0 glass1 0 if glass 1 glass1 1 variable labels glass1 Whether used bottle or glass as a weapon excl DK RF if knife 0 knife1 0 if knife 1 knife1 1 variable labels knife1 Whether used knife as a weapon excl DK RF if stabbing 0 stab1 0 if stabbing 1 stab1 1 variable labels stab1 Whether used screw driver stabbing implement as a weapon excl DK RF if hitting 0 hit1 0 if hitting 1 hitt 1 variable labels hit1 Whether used stick club hitting implement as a weapon excl DK RF if gun 0 1 0 if gun 1 guni 1 variable labels oun Whether used gun as a weapon excl DK RF if syringe 0 syr1 0 if syringe 1 syr1 1 variable labels syr1 Whether used syringe as a weapon excl DK RF if stones 0 stones1 0 if stones 1 stones1 1 variable labels stones1 Whether used stones bricks concrete as a weapon excl DK RF if othweap 0 othweap1 0 if othweap 1 othweap1 1 variable labels othweap1 Whether used something else as a weapon excl DK RF if othweap2 0 othweap3 0 if othweap2 1 othweap3 1 variable labels othw
145. whast2v 1 xwhast3v 1 or xwhast2mm 1 or xwhast3nn 1 whast_b13 1 If xwhast2w 1 or xwhast8w 1 whast_b14 1 If xwhast2x 1 or xwhast3x 1 whast_b15 1 If xwhast2bb 1 or xwhast2nn 1 or xwhast8cc 1 xwhast300 1 whast_b16 1 If xwhast2dd 1 o If xwhast2aa 1 or xwhast3pp 1 If xwhast2cc 1 xwhast3ll 1 or If xwhast2ee 1 whast_b20 1 r xwhast3ee 1 whast_b17 1 xwhast2gg 1 xwhast200 1 or xwhast2ii 1 or xwhast3bb 1 xwhast3hh 1 whast_b18 1 or or xwhast3jj 1 or 2 12 xwhast2jj 1 xwhast3mm 1 or xwhast2ff 1 or xwhast2kk 1 or xwhast2ll 1 or xwhast3dd 1 or xwhast3kk 1 or whast_b19 1 or xwhast2hh 1 xwhast3ff 1 or xwhast3gg 1 or xwhast3ii 1 2 If xwhast2d 1 or xwhast3d 1 whast_b21 1 Variable labels whast b1 Burglary stolen vehicle vehicle parts stolen money wallet purse chequebook credit cards whast_b2 Burglary whast b3 Burglary whast b4 Burglary whast b5 Burglary whast b6 Burglary whast b7 Burglary whast b8 Burglary whast b9 Burglary whast b10 Burglary whast b11 Burglary whast b12 Burglary whast b13 Burglary whast b14 Burglary whast b15 Burglary whast b16 Burglary whast b17 Burglary whast b18 Burglary whast b19 Burglary whast b20 Burglary whast b21 Burglary stolen mobile phone stolen jewellery stolen clothes stolen documents stolen electrical good
146. whatdamb 1 or whatdamg 1 hmdmoth 1 variable labels hmdmoth Other criminal damage value labels hmdmoth 1 Other criminal damage If damhoma 1 homewind 1 variable labels homewind House flat window broken value labels homewind 1 House flat window broken If damhomb 1 damhomc 1 homedoor 1 variable labels homedoor House flat door lock damaged value labels homedoor 1 House flat door lock damaged If damhomd 1 homegraf 1 variable labels homegraf House flat graffiti value labels homegraf 1 House flat graffiti If damhome 1 homesoil 1 variable labels homesoil House flat soiling value labels homesoil 1 House flat soiling If damhomf 1 or damhomg 1 or damhomh 1 homeoth 1 variable labels homeoth House flat other criminal damage value labels homeoth 1 House flat other criminal damage If damwalla 1 wallgraf 1 variable labels wallgraf Wall fence other garden graffiti value labels wallgraf 1 Wall fence other garden graffiti If damwallb 1 wallbrke 1 variable labels wallbrke Wall fence other garden broken value labels wallbrke 1 Wall fence other garden broken If damwallc 1 or damwalld 1 walloth 1 variable labels walloth Wall fence other garden other value labels walloth 1 Wall fence other garden other If damgara 1 shedwind 1 variable labels shedwind Shed garage win
147. worked and long term unemployed 7 Not classified recode respsec 1 0 2 0 3 1 3 2 3 3 3 4 4 1 4 2 4 3 4 4 5 0 6 0 1 7 1 7 2 7 3 7 4 2 8 1 8 2 9 1 9 2 3 10 0 11 1 11 2 4 12 1 12 2 12 3 12 4 12 5 12 6 12 7 13 1 13 2 13 3 13 4 13 5 5 14 1 14 2 6 15 0 7 16 0 17 0 8 else sysmis into rnssec6a variable labels rnssec6a Occupation coding of Respondent 5 categories amp students amp not classified value labels rnssec6a 1 Managerial and professional occs 2 Intermediate occs 3 Small employers and own account workers 4 Lower supervisory and technical occs 5 Semi routine and routine occs 6 Never worked and long term unemployed 7 Full time students 8 Not classified recode respsec2 1 1 1 1 2 1 2 1 3 thru 4 2 5 thru 7 3 8 4 else sysmis into rnssec3 variable labels rnssec3 Occupation coding of Respondent 3 categories value labels rnssec3 1 Managerial and professional occs 2 Intermediate occs 3 Routine and manual occs 4 Never worked and long term unemployed recode respsec2 1 121 1 221 2 1 3 thru 4 2 5 thru 7 3 8 4 9 5 else sysmis into rnssec4 variable labels rnssec4 Occupation coding of Respondent 3 categories amp not classified value labels rnssec4 1 Managerial and professional occs 2 Intermediate occs 3 Routine and manual occs 4 Never worked and long term unemployed 5 Not classified recode respsec 1 0 2 0 3
148. y if sysmis work hjbaway 0 recode hjbaway SYSMIS 2 0 8 9 SYSMIS variable labels hjbaway HRP away from job value labels hjbaway 1 Yes 2 Waiting to take up job OWNBUS HOWNBUS compute rowbus ownbus if sysmis work rowbus 0 recode rowbus SYSMIS 2 0 8 9 SYSMIS variable labels rowbus Respondent did unpaid work for own business value labels rowbus 1 Yes 2 if hrp21 howbus ownbus if hrp22 howbus hownbus if sysmis work howbus 0 recode howbus SYSMIS 2 0 8 9 SYSMIS variable labels howbus HRP did unpaid work for own business value labels howbus 1 Yes 2 No RELBUS HRELBUS compute rrlbus relbus if sysmis work rrlbus 0 recode rrlbus SYSMIS 2 0 8 9 SYSMIS variable labels rrlbus Respondent did unpaid work for family business value labels rrlbus 1 Yes 2 if hrp21 hrlbus relbus if 2 hrlbus hrelbus if sysmis work hrlbus 0 recode hrlbus SYSMIS 2 0 8 9 SYSMIS variable labels hrlbus HRP did unpaid work for family business value labels hrlbus 1 Yes 2 LOOKWKA HLOOKWK compute rlkwork lookwk4 if sysmis work rlkwork 0 recode rlkwork SYSMIS 2 0 8 9 SYSMIS variable labels rlkwork Respondent was looking for work in last 4 weeks value labels rlkwork 1 Yes 2 No if hrp21 hlkwork lookwk4 if hrp22 hlkwork hlookwk if sysmis work hlkwork 0 recode hlkwork SYSMIS 2 0 8 9 SY
149. y victimisation in last 12 months vionoi r2 Violence without injury victimisation in last 12 months peracq r2 Acquisitive crime against individual 41 42 43 44 45 67 73 victimisation in last 12 months woundn r2 Wounding violence with injury victimisation in last 12 months asnoij r2 Assault with no injury victimisation in last 12 months cominj r2 Common assault with injury victimisation in last 12 months comnij r2 Common assault with no injury victimisation in last 12 months violrs r2 BCS violence 11 12 13 21 32 33 victimisation in last 12 months excl robbery amp snatch theft viols r2 All BCS violence 11 12 13 21 32 33 41 42 victimisation in last 12 months excl snatch theft vioin2 r2 Violence with injury no snatch theft victimisation in last 12 months viono2 r2 Violence without injury no snatch theft victimisation in last 12 months value labels vandal r2 to viono2 r2 1 Once 2 Twice 3 Three or more 121 burglary variable bvpiburg recode wburgl 121 220 320 420 else sysmis into bvpiburg variable labels bvpiburg BVPI 121 worry about being burgled value labels bvpiburg 1 Very worried 0 Not very not at all fairly worried 121 car crime variable bvpicar recode wcarstol wfromcar 1 2 2 1 3 thru 4 0 else sysmis into wcarstol2 wfromcar2 compute vehsumz wcarstol2 wfromcar2 compute newcar 0 if 1 newcar 1 recode newcar 121 else s
150. ysmis If no car newcar has been set to missing so bvpicar will be missing if no car compute bvpicar vehsum newcar variable labels bvpicar BVPI 121 worry about car crime value labels wcarstol2 wfromcar2 2 worried 1 Fairly worried 0 Not worried 121 violent crime variable bvpiviol compute bvpiviol wmugged2 wraped2 wattack2 wraceatt2 7 STRAND ASB MEASURE Recoding 7 strands to get scores 3 very big problem to 0 a problem recode abancar noisneig drunk druguse teenhang rubbish vandals 1 3 222 321 420 else sysmis into abancar7 nois drun7 drug teen7 rubb7 vand7 compute nasb7 abancar7 nois7 drun7 drug7 teen7 rubb7 vand7 variable labels nasb7 Perceived level of anti social behaviour INDIVIDUAL STRANDS OF DISORDER recode teenhang 1 1 2 1 8 0 4 0 else sysmis into teen1 recode vandals 1 1 2 1 3 0 4 0 else sysmis into vandals1 recode racehat2 1 1 2 1 8 0 4 0 else sysmis into race1 recode druguse 1 1 2 1 3 0 4 0 else sysmis into drug1 recode drunk 1 1 2 1 3 0 4 0 else sysmis into drunk1 3 else sysmis into rubb1 0 else sysmis into noisneg1 1 1 CONFIDENCE CJS recode conffwit 121 2 1 3 0 420 else sysmis into confwit2 recode confoff 1 1 2 1 3 0 4 0 else sysmis into confoff2 recode confvict 1 1 2 1 3 0 4 0 else sysmis into conf

Download Pdf Manuals

Related Search

Related Contents

勝山浄化センター運転維持管理業務包括委託 特 記 仕 様 書    Dataflex 31.482 cable protector  Samsung AVXWHH036EA Manual de utilizare  

Copyright © All rights reserved. Failed to retrieve file