Labour Force Survey - September 2007 (Worker File)

Statistics South Africa (http://www.statssa.gov.za)

Labour Force Survey - September 2007 (Worker file)

Study Documentation

October 24, 2017 Metadata Production

Production Date October 11, 2008 Table of Contents

Overview...... 4 Producers & Sponsors...... 4 Accessibility...... 4 Files Description...... 5 LFS16WORKER_092007_F1...... 5 Variables Group(s)...... 6 Worker file...... 6 Variables Description...... 14 LFS16WORKER_092007_F1...... 15 Labour Force Survey - September 2007 (Worker file) - Overview

Labour Force Survey - September 2007 (Worker file)

Overview Identification LFS16WORKER!092007

Countries South Africa

Producers & Sponsors Primary Statistics South Africa (http://www.statssa.gov.za) Investigator(s) Other Producer(s) Statistics South Africa (http://www.statssa.gov.za) (Stats SA)

Accessibility Confidentiality

- 4 - Labour Force Survey - September 2007 (Worker file) - Files Description

Files Description

Dataset contains 1 file(s)

LFS16WORKER_092007_F1 # Cases 71630 # Variable(s) 140

- 5 - Labour Force Survey - September 2007 (Worker file) - Variables Group(s)

Variables Group(s)

Dataset contains 1 group(s)

Group Worker file

# Name Label Type Format Valid Invalid Question

1 UqNr Unique household identifier discrete character-14 71630 0 -

2 PersonNr Person (respondent) number discrete numeric-2.0 71630 0 -

3 PSU Primary sampling unit discrete numeric-2.0 71630 0 -

4 Prov Province discrete numeric-1.0 71630 0 Derived variable: Derived from the first digit of the Unique Number

5 DC District council/metro discrete character-14 71630 0 -

6 Gender Gender discrete numeric-1.0 71630 0 This variable is obtained from the Person file and it indicates the gender of the household. Gender of the household member is derived from the question C of the questionnare’s FLAP.

7 Age Age discrete numeric-3.0 71630 0 This variable is obtained from the Person file and it indicates the age of the household member. Age of the household member is obtained from the question D of the questionnare’s FLAP.

8 Agegrp Age in 5 year groups discrete numeric-2.0 71630 0 Derived from age

9 Popgrp Population group discrete numeric-1.0 71630 0 This variable indicating the population group of the household members aged 15 years and above. Population group of the household member is derived from the question E of the questionnare’s FLAP.

10 Q13aHiEd Highest education level discrete numeric-2.0 71630 0 The derived variable indicating the highest level of education of the household member. This variable was derived from the question 1.3a (See Person file).

11 Q13bArea Study field discrete numeric-2.0 71630 0 The derived variable indicating the study field of the household member. This variable was derived from the question 1.3b (See Person file).

12 Q14Skltr Skills/Training discrete numeric-1.0 71630 0 This is a derived variable indicating whether household member have been trainned in skills that can be used for work. This variable was derived from the question 1.4. (See Person file).

13 Q20SelfR Person him/herself discrete numeric-1.0 71630 0 Is the person him/herself responding to responding questions?

14 Q21aOwnB Economic activity: Own discrete numeric-1.0 71630 0 Run or do any kind of business, big or business small for himself/herself or with one or more partners?

15 Q21bPaid Economic activity: Paid work discrete numeric-1.0 71630 0 Do any work for a wage, salary, commission or any payment in kind (excluding domestic work)?

16 Q21cDome Economic activity: Domestic discrete numeric-1.0 71630 0 Do any work as a domestic worker for a work wage, salary, or any payment in kind?

17 Q21dUnPd Economic activity: Unpaid discrete numeric-1.0 71630 0 Help unpaid in a household business of work any kind?

- 6 - Labour Force Survey - September 2007 (Worker file) - Variables Group(s)

# Name Label Type Format Valid Invalid Question

18 Q21eFarm Economic activity: Farm discrete numeric-1.0 71630 0 Do any work on his/her own or the work household’s plot, farm, food garden, cattle post or kraal or help in growing farm produce or in looking after animals for the household?

19 Q21fCons Economic activity: discrete numeric-1.0 71630 0 Do any construction or major repair Construction or major repair work on his/her own home, plot, work cattle post or business or those of the household?

20 Q21gCtch Economic activity: Catch fish discrete numeric-1.0 71630 0 Catch any fish, prawns, shells, wild animals or other food for sale or household food?

21 Q21hBeg Economic activity: Beg for discrete numeric-1.0 71630 0 Beg for money or food in public? money/ food

22 Q22HaveW Temporary absent but have a discrete numeric-1.0 71630 0 Even though …… did not do any of job these activities in the last seven days, does he/she have a job, business, or other economic or farming activity that he/she will definitely return to?

23 Q23Rsnab Main reason for absent from discrete numeric-2.0 71630 0 What was the main reason …… was work absent from this activity in the last seven days?

24 Q24Start When intend to start working discrete numeric-1.0 71630 0 When does …… intend to start working?

25 Q31OddJO Supported by: Did odd jobs discrete numeric-1.0 71630 0 Did odd jobs during the past seven days

26 Q31inHHP Supported by: Persons in the discrete numeric-1.0 71630 0 Supported by persons in the household household

27 Q31notHH Supported by: Persons not in discrete numeric-1.0 71630 0 Supported by persons not in the the household household

28 Q31Chari Supported by: Charity, discrete numeric-1.0 71630 0 Supported by charity, church, welfare, church, welfare etc

29 Q31UIFSU Supported by: discrete numeric-1.0 71630 0 Unemployment Insurance Fund (UIF) Unemployment Insurance Fund

30 Q31Savin Supported by: Savings or discrete numeric-1.0 71630 0 Savings or money previously earned money previously earned

31 Q31Pensi Supported by: Old age or discrete numeric-1.0 71630 0 Old age or disability pension disability pension

32 Q31Othrs Supported by: Other sources discrete numeric-1.0 71630 0 Other sources, e.g. bursary, study loan

33 Q32YnotW Reason for not working discrete numeric-2.0 71630 0 Why did …… not work during the past seven days?

34 Q33JobOf Any job offered discrete numeric-1.0 71630 0 Has ……been offered any job in the past 6 months and he/she turned it down?

35 Q34WrkRe Knowledge of any available discrete numeric-1.0 71630 0 Does …… know of any available work work for which he/she has the relevant qualification but is not willing to do?

36 Q35WhyNo Reason not willing to work discrete numeric-1.0 71630 0 Why would ………….not be willing to do this work?

37 Q36Accep Accept job if offered discrete numeric-1.0 71630 0 If a suitable job is offered, will … … accept it?

38 Q37WhnSt How soon can start working discrete numeric-1.0 71630 0 How soon can …… start work?

39 Q38LookW Look for work discrete numeric-1.0 71630 0 During the past four weeks, has …… taken any action:Look for work?

- 7 - Labour Force Survey - September 2007 (Worker file) - Variables Group(s)

# Name Label Type Format Valid Invalid Question

40 Q38BgnBu Start business discrete numeric-1.0 71630 0 During the past four weeks, has …… taken any action:Start business?

41 Q39Seekh Steps taken to look for work discrete numeric-2.0 71630 0 In the past four weeks, what has …… or start business done to look for work or to start a business?

42 Q310TimS Time seeking work discrete numeric-2.0 71630 0 How long has …… been trying to find work or start a business?

43 Q311RsnN Reason why not look for discrete numeric-2.0 71630 0 What was the main reason why …… did work/start business not try to find work or start a business in the past four weeks?

44 Q312Ever Ever worked discrete numeric-1.0 71630 0 Has …… ever worked for pay, profit or family gain?

45 Q313TmGa Time since last worked discrete numeric-2.0 71630 0 How long ago was it since …… last worked?

46 Q314Occu Kind of work done in last discrete numeric-4.0 71630 0 What kind of work did …… do in his/ occupation her last job? Give occupation or job title.

47 Q315Indu Industry activity of last job discrete numeric-3.0 71630 0 What were the main goods and services produced at ……'s place of work? What were its main functions?

48 Q41Occup Kind of work done in main discrete numeric-4.0 71630 0 What kind of work did …… do in his/ job her main job during the last seven days (or usually does, even if he/she was absent in the last seven days)?

49 Q42Indus Main industry activity discrete numeric-3.0 71630 0 What are the main goods and services produced at ……'s place of work? What are its main functions?

50 Q43Mwork Main work discrete numeric-1.0 71630 0 In ……'s main work was he/she

51 Q44NrEmp Number of employers discrete numeric-1.0 71630 0 Does …… work for working for

52 Q45Years Year commenced working discrete numeric-4.0 71630 0 When did …… start working with the (main) employer mentioned above (firm, institution or private household)? Give year.

53 Q45MnthS Month commenced working discrete numeric-2.0 71630 0 When did …… start working with the (main) employer mentioned above (firm, institution or private household)? Give month.

54 Q46LengJ Work status discrete numeric-1.0 71630 0 Is ……'s work

55 Q47Tools Tools/equipment owner discrete numeric-1.0 71630 0 Who owns the tools and/or equipment that …… uses at work?

56 Q48WrtnC Written employment contract discrete numeric-1.0 71630 0 Does …… have a written contract with the employer?

57 Q49Super Work under supervision/ discrete numeric-1.0 71630 0 Does anyone directly supervise the independently work …… does or does he/she work independently?

58 Q410WhoP Who pays income discrete numeric-1.0 71630 0 Who pays ……?

59 Q411Pens Contribution to pension or discrete numeric-1.0 71630 0 Does ……'s employer contribute to any retirement fund pension/retirement fund?

60 Q412Leav Paid leave discrete numeric-1.0 71630 0 Does …… get any paid leave?

61 Q413TrdU Trade union membership discrete numeric-1.0 71630 0 Is …… a member of a trade union?

62 Q414Typb Type of business or discrete numeric-2.0 71630 0 Is the business or enterprise/branch enterprise where …… works

- 8 - Labour Force Survey - September 2007 (Worker file) - Variables Group(s)

# Name Label Type Format Valid Invalid Question

63 Q415aSal Total salary/pay discrete numeric-7.0 71630 0 What is ……’s total salary/pay at his/her main job?

64 Q415bSal Salary period discrete numeric-1.0 71630 0 Only if amount given in 4.15.a Is this

65 Q415cSal Income categories discrete numeric-2.0 71630 0 Only if "REFUSE" or " DON’T KNOW" in 4.15.a(Total salary/pay). Show the categories. Make sure the respondent points at the correct income column (weekly, monthly, annually) on prompt card 3 and mark the applicable code.

66 Q416NrWo Number of employees discrete numeric-1.0 71630 0 How many regular workers has the organisation/business/ enterprise/branch where …… works, including him/ herself?

67 Q417Regi Registered company or close discrete numeric-1.0 71630 0 Is the organisation/ business/ enterprise/ corporation branch where… works a registered company or close corporation?

68 Q418UIFC UIF Deductions discrete numeric-1.0 71630 0 Is the organisation/ business/ enterprise/ branch where… works deducting UIF contributions for him/her?

69 Q419MedA Medical aid or health discrete numeric-1.0 71630 0 Does the organisation/ business/ insurance contribution enterprise/ branch where…works provide contributions towards membership of a medical aid fund or health insurance for him/her?

70 Q420VatR Registered for VAT discrete numeric-1.0 71630 0 Is the organisation/ business/ enterprise/ branch where…works registered for VAT?

71 Q421Inco Registered for income tax discrete numeric-1.0 71630 0 Is the organisation/ business/ enterprise/ branch where…works registered for income tax?

72 Q422Sect Type of business sector discrete numeric-1.0 71630 0 Is the organisation/ business/ enterprise/ branch where …… works

73 Q423Loca Location of business/ discrete numeric-2.0 71630 0 Where is the business/ enterprise/ branch enterprise/branch where …… works located?

74 Q424aHrs Hours worked past week: discrete numeric-3.0 71630 0 How many hours, including overtime, Main job did …… work during the last seven days

75 Q424bHrs Hours worked past week: discrete numeric-3.0 71630 0 How many hours, including overtime, Other activities did …… work during the last seven days

76 Q424cHrs Hours worked past week: In discrete numeric-3.0 71630 0 How many hours, including overtime, total did …… work during the last seven days

77 Q425aHrs Hours usually worked: In his/ discrete numeric-3.0 71630 0 How many hours per week, including her main job/activity overtime, does … usually work?

78 Q425bHrs Hours usually worked: In discrete numeric-3.0 71630 0 How many hours per week, including other activities overtime, does … usually work?

79 Q425cHrs Hours usually worked: In discrete numeric-3.0 71630 0 How many hours per week, including total overtime, does … usually work?

80 Q426Fixe Flexible or fixed working discrete numeric-1.0 71630 0 Can …… decide on the number of hours hours per week during which he/she works, or are these fixed by the employer?

81 Q427More Willing to work longer hours discrete numeric-1.0 71630 0 Do/Does …… want to work longer hours?

82 Q428Star Willing to do extra work discrete numeric-1.0 71630 0 If extra work was available, would …… be able to start such work in the next four weeks?

- 9 - Labour Force Survey - September 2007 (Worker file) - Variables Group(s)

# Name Label Type Format Valid Invalid Question

83 Q429Look Action to look for extra work discrete numeric-1.0 71630 0 During the past four weeks, has …… taken any action to look for or prepare for any extra work?

84 Q430Seek Activities done to look or discrete numeric-2.0 71630 0 What activities did …… do to look or prepare for extra work prepare for extra work?

85 Q431TypX Type of extra work looking discrete numeric-1.0 71630 0 Was …… mostly looking for for

86 Q51Epwpk Ever heard of the EPWP discrete numeric-1.0 71630 0 Has …… ever heard of the Expanded programme Public Works Programme (EPWP)?

87 Q52Epwpt Participation in the EPWP discrete numeric-1.0 71630 0 Has …… participated in any EPWP programme programme or project during the past six (6) months?

88 Q53GovJo Participation in the job discrete numeric-1.0 71630 0 Did ……. work in any government job creation programme creation programme or project during the past six (6) months?

89 Q54ProgN Name of the job creation discrete numeric-2.0 71630 0 What is the name of the programme or programme project that ……. worked/participated in during the past six (6) months?

90 Q55aProv Province of programme/ discrete numeric-2.0 71630 0 Where was/is the programme or project project in which ….… worked/participated based?

91 Q55bTown Nearest town to programme/ discrete numeric-5.0 71630 0 Where was/is the programme or project project in which ….… worked/participated based?

92 Q56aCons Acquired skills: Construction discrete numeric-1.0 71630 0 Which skills (if any) did ………. related acquired during participation in any of the programmes or project mentioned in Q5.4?

93 Q56bHome Acquired skills: Home based discrete numeric-1.0 71630 0 Which skills (if any) did ………. care acquired during participation in any of the programmes or project mentioned in Q5.4?

94 Q56cChil Acquired skills: Early discrete numeric-1.0 71630 0 Which skills (if any) did ………. childhood development acquired during participation in any of the programmes or project mentioned in Q5.4?

95 Q56dFore Acquired skills: Forestry discrete numeric-1.0 71630 0 Which skills (if any) did ………. acquired during participation in any of the programmes or project mentioned in Q5.4?

96 Q56eAgri Acquired skills: Agriculture discrete numeric-1.0 71630 0 Which skills (if any) did ………. and animal husbandry acquired during participation in any of the programmes or project mentioned in Q5.4?

97 Q56fNume Acquired skills: Numeracy/ discrete numeric-1.0 71630 0 Which skills (if any) did ………. literacy acquired during participation in any of the programmes or project mentioned in Q5.4?

98 Q56gHiva Acquired skills: HIV/AIDS discrete numeric-1.0 71630 0 Which skills (if any) did ………. awareness acquired during participation in any of the programmes or project mentioned in Q5.4?

99 Q56hCare Acquired skills: Career discrete numeric-1.0 71630 0 Which skills (if any) did ………. awareness acquired during participation in any of the programmes or project mentioned in Q5.4?

- 10 - Labour Force Survey - September 2007 (Worker file) - Variables Group(s)

# Name Label Type Format Valid Invalid Question

100 Q56iBusn Acquired skills: Business discrete numeric-1.0 71630 0 Which skills (if any) did ………. related acquired during participation in any of the programmes or project mentioned in Q5.4?

101 Q56jOthr Acquired skills: Other discrete numeric-1.0 71630 0 Which skills (if any) did ………. acquired during participation in any of the programmes or project mentioned in Q5.4?

102 Q57Still Still working in the job discrete numeric-1.0 71630 0 Is …… still working/participating in the creation programme programme or project?

103 Q58aSust Benefit of participating: discrete numeric-1.0 71630 0 What, if any, were/are the benefits Permanent job of participating in the programme or project mentioned in Q5.4?

104 Q58bStar Benefit of participating: Start discrete numeric-1.0 71630 0 What, if any, were/are the benefits business of participating in the programme or project mentioned in Q5.4?

105 Q58cFurt Benefit of participating: discrete numeric-1.0 71630 0 What, if any, were/are the benefits Further training of participating in the programme or project mentioned in Q5.4?

106 Q58dTemp Benefit of participating: discrete numeric-1.0 71630 0 What, if any, were/are the benefits Temporary work of participating in the programme or project mentioned in Q5.4?

107 Q58eOthr Benefit of participating: discrete numeric-1.0 71630 0 What, if any, were/are the benefits Other of participating in the programme or project mentioned in Q5.4?

108 Q61FarmA Farming activity discrete numeric-1.0 71630 0 Did …… grow or help to grow any produce, e.g. maize or other crops, vegetables or fruit, or keep, or help to keep, any stock, e.g. cattle, sheep, goats, horses, even chickens, for sale or for household use during the last 12 months?

109 Q62Sep06 Farming activity: September discrete numeric-1.0 71630 0 During which months was …… engaged 2006 in growing produce or keeping stock in the last 12 months?

110 Q62Oct06 Farming activity: October discrete numeric-1.0 71630 0 During which months was …… engaged 2006 in growing produce or keeping stock in the last 12 months?

111 Q62Nov06 Farming activity: November discrete numeric-1.0 71630 0 During which months was …… engaged 2006 in growing produce or keeping stock in the last 12 months?

112 Q62Dec06 Farming activity: December discrete numeric-1.0 71630 0 During which months was …… engaged 2006 in growing produce or keeping stock in the last 12 months?

113 Q62Jan07 Farming activity: January discrete numeric-1.0 71630 0 During which months was …… engaged 2007 in growing produce or keeping stock in the last 12 months?

114 Q62Feb07 Farming activity: February discrete numeric-1.0 71630 0 During which months was …… engaged 2007 in growing produce or keeping stock in the last 12 months?

115 Q62Mar07 Farming activity: March discrete numeric-1.0 71630 0 During which months was …… engaged 2007 in growing produce or keeping stock in the last 12 months?

116 Q62Apr07 Farming activity: April 2007 discrete numeric-1.0 71630 0 During which months was …… engaged in growing produce or keeping stock in the last 12 months?

- 11 - Labour Force Survey - September 2007 (Worker file) - Variables Group(s)

# Name Label Type Format Valid Invalid Question

117 Q62May07 Farming activity: May 2007 discrete numeric-1.0 71630 0 During which months was …… engaged in growing produce or keeping stock in the last 12 months?

118 Q62Jun07 Farming activity: June 2007 discrete numeric-1.0 71630 0 During which months was …… engaged in growing produce or keeping stock in the last 12 months?

119 Q62Jul07 Farming activity: July 2007 discrete numeric-1.0 71630 0 During which months was …… engaged in growing produce or keeping stock in the last 12 months?

120 Q62Aug07 Farming activity: August discrete numeric-1.0 71630 0 During which months was …… engaged 2007 in growing produce or keeping stock in the last 12 months?

121 Q63FarmW Reason for farming discrete numeric-1.0 71630 0 Why does …… grow or help in growing farm produce or keep stock for the household?

122 Q64Volun Voluntary work discrete numeric-1.0 71630 0 In the last 12 months, did …… do any uncompensated work for the benefit of a community, neighbourhood, or an interest group?

123 Q65aVday Voluntary work: Help the discrete numeric-1.0 71630 0 In which areas was the uncompensated sick work …… did in the last 12 months?

124 Q65bMedC Voluntary work: Medical discrete numeric-1.0 71630 0 In which areas was the uncompensated care work …… did in the last 12 months?

125 Q65cTrai Voluntary work: Provision of discrete numeric-1.0 71630 0 In which areas was the uncompensated training work …… did in the last 12 months?

126 Q65dLawk Voluntary work: Law and discrete numeric-1.0 71630 0 In which areas was the uncompensated order work …… did in the last 12 months?

127 Q65eComu Voluntary work: discrete numeric-1.0 71630 0 In which areas was the uncompensated Maintenance of community work …… did in the last 12 months? resources

128 Q65fOrge Voluntary work: Organise discrete numeric-1.0 71630 0 In which areas was the uncompensated cultural events work …… did in the last 12 months?

129 Q65gColl Voluntary work: Collect discrete numeric-1.0 71630 0 In which areas was the uncompensated money work …… did in the last 12 months?

130 Q65hFund Voluntary work: Fund raising discrete numeric-1.0 71630 0 In which areas was the uncompensated work …… did in the last 12 months?

131 Q65iOthr Voluntary work: Something discrete numeric-1.0 71630 0 In which areas was the uncompensated else work …… did in the last 12 months?

132 Sector Sector of work discrete numeric-1.0 71630 0 Derived variable: Derived from Questions 4.1 and 4.22.

133 Indus Main industry discrete numeric-2.0 71630 0 Derived variable: Derived from Question 4.2.

134 Occup Main occupation discrete numeric-2.0 71630 0 Derived variable: Derived from Question 4.1.

135 IndusP Previous industry discrete numeric-2.0 71630 0 Derived variable. Derived from questions 3.8 and 3.11.

136 OccuPrev Previous occupation discrete numeric-2.0 71630 0 Derived variable: Derived from questions 3.8 and 3.10.

137 IncmGrp Income group discrete numeric-2.0 71630 0 Derived variable. Derived from questions 4.15.a, 4.15.b and 4.15.c.

138 Status1 Official unemployment discrete numeric-1.0 71630 0 Derived from a logical series of definition questions: see metadata

- 12 - Labour Force Survey - September 2007 (Worker file) - Variables Group(s)

# Name Label Type Format Valid Invalid Question

139 Status2 Expanded unemployment discrete numeric-1.0 71630 0 Derived from a logical series of definition questions: See metadata

140 workers_wgt Weight discrete numeric-10.4 71630 0 -

- 13 - Labour Force Survey - September 2007 (Worker file) - Variables Description

Variables Description

Dataset contains 143 variable(s)

- 14 - File : LFS16WORKER_092007_F1 # UqNr: Unique household identifier

Information [Type= discrete] [Format=character] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Notes This is the unique household identifier, which can be used to link data from this file with data on the same households from other files.. # PersonNr: Person (respondent) number

Information [Type= discrete] [Format=numeric] [Range= 1-22] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Notes The two fields above (unique number and person number) can be used to link data from this file with data for the same individuals from other files.

Value Label Cases Weighted Percentage (Weighted) 1 27921 13100577.6 40.1% 2 20639 9535314.9 29.2% 3 11518 5062571.4 15.5% 4 6192 2720658.0 8.3% 5 2946 1288625.3 3.9% 6 1302 524337.4 1.6% 7 600 245189.2 0.7% 8 273 115073.6 0.4% 9 129 56548.3 0.2% 10 60 30027.3 0.1% 11 21 9227.8 0.0% 12 10 3552.8 0.0% 13 8 3208.7 0.0% 14 3 534.5 0.0% 15 1 182.2 0.0% 16 1 182.2 0.0% 17 1 182.2 0.0% 18 1 182.2 0.0% 19 1 182.2 0.0% 20 1 182.2 0.0% 21 1 182.2 0.0% 22 1 182.2 0.0% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # PSU: Primary sampling unit

Information [Type= discrete] [Format=numeric] [Range= 1-89] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Notes (See also unique household identifier)

Value Label Cases Weighted Percentage (Weighted) 1 5752 2237717.2 6.8% 2 5777 2272817.9 7.0% 3 5560 2180247.4 6.7% 4 5317 1830285.1 5.6% 5 4672 1661734.3 5.1%

- 15 - File : LFS16WORKER_092007_F1 # PSU: Primary sampling unit

Value Label Cases Weighted Percentage (Weighted) 6 4094 1467809.7 4.5% 7 3594 1301470.0 4.0% 8 3161 1222512.4 3.7% 9 3046 1114057.0 3.4% 10 2614 849736.4 2.6% 11 2399 854391.9 2.6% 12 2222 825627.6 2.5% 13 1878 698623.8 2.1% 14 1764 672465.2 2.1% 15 1605 563489.1 1.7% 16 1476 500222.8 1.5% 17 1217 527914.7 1.6% 18 975 424762.5 1.3% 19 847 504511.1 1.5% 20 836 582891.0 1.8% 21 824 467650.5 1.4% 22 719 362598.8 1.1% 23 644 282478.8 0.9% 24 545 320372.1 1.0% 25 515 245222.4 0.7% 26 403 244582.3 0.7% 27 477 322228.0 1.0% 28 390 234477.0 0.7% 29 368 205242.5 0.6% 30 364 245348.5 0.8% 31 379 243048.5 0.7% 32 338 223395.0 0.7% 33 289 179013.3 0.5% 34 323 192373.6 0.6% 35 266 182718.4 0.6% 36 346 188016.4 0.6% 37 272 216131.9 0.7% 38 271 179477.9 0.5% 39 279 265890.5 0.8% 40 218 142401.7 0.4% 41 215 204060.7 0.6% 42 189 241250.0 0.7% 43 215 160115.5 0.5% 44 194 163635.4 0.5% 45 194 191332.0 0.6% 46 221 186214.0 0.6% 47 203 157160.4 0.5% 48 163 132106.3 0.4%

- 16 - File : LFS16WORKER_092007_F1 # PSU: Primary sampling unit

Value Label Cases Weighted Percentage (Weighted) 49 161 212677.1 0.7% 50 173 187690.0 0.6% 51 163 200515.1 0.6% 52 106 126079.2 0.4% 53 112 220069.6 0.7% 54 65 228215.3 0.7% 55 85 137198.9 0.4% 56 82 131234.7 0.4% 57 124 155921.2 0.5% 58 120 96509.9 0.3% 59 121 119955.3 0.4% 60 110 158843.2 0.5% 61 121 158565.8 0.5% 62 120 267486.4 0.8% 63 133 195161.1 0.6% 64 73 251529.2 0.8% 65 180 136975.2 0.4% 66 113 141603.6 0.4% 67 92 110489.2 0.3% 68 74 78566.6 0.2% 69 62 89817.6 0.3% 70 64 39879.7 0.1% 71 73 80132.7 0.2% 72 45 74635.1 0.2% 73 20 12655.7 0.0% 74 17 20730.3 0.1% 75 20 14783.2 0.0% 76 22 29326.7 0.1% 77 28 27633.6 0.1% 78 19 22777.4 0.1% 79 25 17607.2 0.1% 80 24 24443.1 0.1% 81 8 43793.9 0.1% 82 24 27802.4 0.1% 83 12 31297.4 0.1% 84 31 28563.6 0.1% 85 42 27985.7 0.1% 86 36 28439.4 0.1% 87 29 26602.6 0.1% 88 51 26561.5 0.1% 89 20 14319.2 0.0% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

- 17 - File : LFS16WORKER_092007_F1 # Prov: Province

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Literal question Derived variable: Derived from the first digit of the Unique Number

Notes South African provinces

Value Label Cases Weighted Percentage (Weighted) 1 Western Cape 7718 3523540.1 10.8% 2 Eastern Cape 9211 4343529.8 13.3% 3 Northern Cape 4957 766147.6 2.3% 4 Free State 5291 2067697.3 6.3% 5 KwaZulu-Natal 18585 6621777.4 20.3% 6 North West 6181 2317605.7 7.1% 7 Gauteng 7385 7355305.9 22.5% 8 Mpumalanga 5349 2332766.3 7.1% 9 Limpopo 6953 3368534.5 10.3% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # DC: District council/metro

Information [Type= discrete] [Format=character] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Notes In South Africa there are 53 district councils (DCs) which consist of forty-seven (47) non-metropolitan areas and six (6) metropolitan areas. Of the forty-seven (47) non-metropolitan areas, forty-two (42) of the DCs are confined to a single province (DC 11 and DC41 do not exist). In addition, there are five DCs, which are cross provincial boundaries (CBDC) and are coded CBDC1, CBDC2, CBDC3, CBDC4 and CBDC8. Although DC9 is not classified as CBDC it also crosses provincial boundaries.

Value Label Cases Weighted Percentage (Weighted) CBDC1 CBDC1 : Kgalagadi District Municipality 912 117106.9 0.4% CBDC2 CBDC2 : Metsweding District Municipality 711 210295.0 0.6% CBDC3 CBDC3 : Sekhukhune Cross Boundary District 1344 687311.4 2.1% Municipality CBDC4 CBDC4 : Bohlabela District Municipality 768 357066.9 1.1% CBDC8 CBDC8 : West Rand District Municipality 1065 413423.5 1.3% Cape Town Cape Town : City of Cape Town 1473 2450817.7 7.5% DC1 DC1 : West Coast District Municipality 1226 144411.5 0.4% DC10 DC10 : Cacadu District Municipality 1438 281717.8 0.9% DC12 DC12 : Amatole 1274 1165707.5 3.6% DC13 DC13 : Chris Hani District Municipality 1519 563264.3 1.7% DC14 DC14 : Ukhahlamba District Municipality 951 203722.1 0.6% DC15 DC15 : O.R.Tambo 1328 1054881.3 3.2% DC16 DC16 : Xhariep District Municipality 1108 86028.5 0.3% DC17 DC17 : Motheo District Municipality 1027 613008.5 1.9% DC18 DC18 : Lejweleputswa District Municipality 1200 517949.4 1.6% DC19 DC19 : Thabo Mofutsanyane District 915 498215.5 1.5% Municipality DC2 DC2 : Boland District Municipality 1533 410293.5 1.3% DC20 DC20 : Northern Free State District Municipality 1041 352495.5 1.1% DC21 DC21 : Ugu District Municipality 1739 483544.6 1.5% - 18 - File : LFS16WORKER_092007_F1 # DC: District council/metro

Value Label Cases Weighted Percentage (Weighted) DC22 DC22 : UMgungundlovu District Municipality 1827 655182.3 2.0% DC23 DC23 : Uthukela District Municipality 1724 395668.8 1.2% DC24 DC24 : Umzinyathi District Municipality 1644 250625.1 0.8% DC25 DC25 : Amajuba District Municipality 2050 333303.0 1.0% DC26 DC26 : Zululand District Municipality 1570 424588.0 1.3% DC27 DC27 : Umkhanyakude District Municipality 1088 304790.9 0.9% DC28 DC28 : Uthungulu District Municipality 1630 622092.1 1.9% DC29 DC29 : iLembe District Municipality 1864 344848.0 1.1% DC3 DC3 : Overberg District Municipality 1502 184186.2 0.6% DC30 DC30 : Gert Sibande District Municipality 1794 580815.7 1.8% DC31 DC31 : Nkangala 1637 835572.9 2.6% DC32 DC32 : Ehlanzeni 1369 681035.1 2.1% DC33 DC33 : Mopani District Municipality 1265 548598.2 1.7% DC34 DC34 : Vhembe District Municipality 1259 720800.5 2.2% DC35 DC35 : Capricorn District Municipality 1115 853141.3 2.6% DC36 DC36 : Waterberg District Municipality 1494 407630.8 1.2% DC37 DC37 : Bojanala District Municipality 1209 830354.9 2.5% DC38 DC38 : Central District Municipality 1330 424091.7 1.3% DC39 DC39 : Bophirima District Municipality 1115 245517.5 0.8% DC4 DC4 : Eden District Municipality 943 306303.8 0.9% DC40 DC40 : Southern District Municipality 1255 391905.4 1.2% DC42 DC42 : Sedibeng District Municipality 1573 503004.5 1.5% DC43 DC43 : Sisonke District Municipality 1434 158415.2 0.5% DC44 DC44 : Alfred Nzo District Municipality 879 332525.4 1.0% DC5 DC5 : Central Karoo District Municipality 1041 27527.5 0.1% DC6 DC6 : Namakwa District Municipality 1005 105082.7 0.3% DC7 DC7 : Karoo District Municipality 1265 138621.1 0.4% DC8 DC8 : Siyanda District Municipality 1471 179819.5 0.5% DC9 DC9 : Frances Baard District Municipality 1109 319199.7 1.0% Durban Durban : Ethekwini Municipality 2015 2648719.4 8.1% East Rand East Rand : Ekurhuleni Metropolitan 1526 1820770.2 5.6% Municipality Johannesburg Johannesburg : City of Johannesburg 1912 2791174.0 8.5% Metropolitan Municipality Port Elizabeth Port Elizabeth : Nelson Mandela 1822 741711.4 2.3% Pretoria Pretoria : City of Tshwane Metropolitan 1322 1978020.7 6.0% Municipality Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Gender: Gender

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Literal question This variable is obtained from the Person file and it indicates the gender of the household. Gender of the household member is derived from the question C of the questionnare’s FLAP.

- 19 - File : LFS16WORKER_092007_F1 # Gender: Gender

Value Label Cases Weighted Percentage (Weighted) 1 Male 32631 15598678.3 47.7% 2 Female 38963 17077573.5 52.2% 9 Unspecified 36 20653.0 0.1% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Age: Age

Information [Type= discrete] [Format=numeric] [Range= 999-999] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Literal question This variable is obtained from the Person file and it indicates the age of the household member. Age of the household member is obtained from the question D of the questionnare’s FLAP.

Value Label Cases Weighted Percentage (Weighted) 15 2386 922915.9 2.8% 16 2549 1055070.5 3.2% 17 2589 1024824.0 3.1% 18 2459 983333.7 3.0% 19 2250 986291.1 3.0% 20 2125 945780.8 2.9% 21 2153 949497.5 2.9% 22 2038 978304.0 3.0% 23 1947 950740.0 2.9% 24 1728 846714.2 2.6% 25 1820 947493.9 2.9% 26 1485 773186.8 2.4% 27 1639 920767.1 2.8% 28 1512 871927.8 2.7% 29 1403 826127.0 2.5% 30 1571 897416.0 2.7% 31 1235 708825.4 2.2% 32 1514 863874.6 2.6% 33 1207 650189.9 2.0% 34 1333 735663.9 2.2% 35 1420 681330.2 2.1% 36 1259 576094.7 1.8% 37 1299 604837.0 1.8% 38 1265 595212.0 1.8% 39 1221 537061.2 1.6% 40 1270 511723.5 1.6% 41 944 395297.4 1.2% 42 1354 586698.1 1.8% 43 1116 491159.0 1.5% 44 987 405038.3 1.2% 45 1249 515049.6 1.6% 46 919 381684.7 1.2% 47 1062 510784.4 1.6% - 20 - File : LFS16WORKER_092007_F1 # Age: Age

Value Label Cases Weighted Percentage (Weighted) 48 1011 411977.5 1.3% 49 1045 397723.9 1.2% 50 979 408668.8 1.2% 51 763 326871.1 1.0% 52 961 391149.9 1.2% 53 814 349165.6 1.1% 54 911 402589.6 1.2% 55 835 340528.8 1.0% 56 696 288172.8 0.9% 57 747 330908.2 1.0% 58 645 273298.1 0.8% 59 676 256079.6 0.8% 60 780 395390.0 1.2% 61 491 202897.9 0.6% 62 527 254393.7 0.8% 63 503 229461.8 0.7% 64 517 229346.6 0.7% 65 682 300712.9 0.9% 66 367 153519.1 0.5% 67 604 256286.2 0.8% 68 361 141175.2 0.4% 69 383 153935.0 0.5% 70 429 189797.8 0.6% 71 312 141651.5 0.4% 72 313 139636.9 0.4% 73 273 113241.0 0.3% 74 282 117596.2 0.4% 75 257 100773.4 0.3% 76 189 65033.0 0.2% 77 267 88879.4 0.3% 78 216 60530.3 0.2% 79 167 49899.4 0.2% 80 153 44397.6 0.1% 81 124 40016.9 0.1% 82 140 48272.5 0.1% 83 118 60116.7 0.2% 84 77 24720.1 0.1% 85 92 32611.8 0.1% 86 60 17925.5 0.1% 87 86 29708.6 0.1% 88 75 26025.6 0.1% 89 81 23032.7 0.1% 90 27 6335.9 0.0%

- 21 - File : LFS16WORKER_092007_F1 # Age: Age

Value Label Cases Weighted Percentage (Weighted) 91 28 15790.0 0.0% 92 22 5181.8 0.0% 93 33 10513.9 0.0% 94 18 4654.3 0.0% 95 21 7886.9 0.0% 96 7 2176.3 0.0% 97 22 7990.5 0.0% 98 13 2331.9 0.0% 99 4 926.5 0.0% 100 6 1092.8 0.0% 101 2 702.0 0.0% 103 2 365.5 0.0% 104 2 279.2 0.0% 105 4 939.5 0.0% 106 1 185.6 0.0% 108 1 657.5 0.0% 999 Unspecified 100 89861.4 0.3% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Agegrp: Age in 5 year groups

Information [Type= discrete] [Format=numeric] [Range= 4-99] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Literal question Derived from age

Value Label Cases Weighted Percentage (Weighted) 4 15 - 19 years 12233 4972435.2 15.2% 5 20 - 24 years 9991 4671036.5 14.3% 6 25 - 29 years 7859 4339502.5 13.3% 7 30 - 34 years 6860 3855969.8 11.8% 8 35 - 39 years 6464 2994535.1 9.2% 9 40 - 44 years 5671 2389916.4 7.3% 10 45 - 49 years 5286 2217220.0 6.8% 11 50 - 54 years 4428 1878444.9 5.7% 12 55 - 59 years 3599 1488987.5 4.6% 13 60 - 64 years 2818 1311490.0 4.0% 14 65 - 69 years 2397 1005628.4 3.1% 15 70 - 74 years 1609 701923.4 2.1% 16 75 - 79 years 2315 779953.6 2.4% 17 80 - 84 years 0 0.0 18 85 + 0 0.0 99 Unspecified 100 89861.4 0.3% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Popgrp: Population group

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

- 22 - File : LFS16WORKER_092007_F1 # Popgrp: Population group

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Literal question This variable indicating the population group of the household members aged 15 years and above. Population group of the household member is derived from the question E of the questionnare’s FLAP.

Value Label Cases Weighted Percentage (Weighted) 1 African/Black 55480 25261307.7 77.3% 2 Coloured 9757 2970496.9 9.1% 3 Indian/Asian 1515 882436.2 2.7% 4 White 4777 3520151.6 10.8% 9 Other and unspecified 101 62512.4 0.2% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q13aHiEd: Highest education level

Information [Type= discrete] [Format=numeric] [Range= 0-99] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Literal question The derived variable indicating the highest level of education of the household member. This variable was derived from the question 1.3a (See Person file).

Value Label Cases Weighted Percentage (Weighted) 0 No schooling 7361 2561757.3 7.8% 1 Grade R / 0 285 95441.4 0.3% 2 Grade 1 / Sub A 670 215013.5 0.7% 3 Grade 2 / Sub B 1020 360406.5 1.1% 4 Grade 3 / Standard 1 1750 622896.3 1.9% 5 Grade 4 / Standard 2 2333 866137.2 2.6% 6 Grade 5 / Standard 3 2698 1013620.7 3.1% 7 Grade 6 / Standard 4 3928 1496210.8 4.6% 8 Grade 7 / Standard 5 5747 2309443.1 7.1% 9 Grade 8 / Standard 6 / Form 1 6774 2891882.2 8.8% 10 Grade 9 / Standard 7 / Form 2 7035 3066036.4 9.4% 11 Grade 10 / Standard 8 / Form 3 7675 3424160.4 10.5% 12 Grade 11 / Standard 9 / Form 4 6649 3406587.4 10.4% 13 Grade 12 / Standard 10 / Form 5/Matric 12055 6661171.4 20.4% 14 NTC l 44 26180.4 0.1% 15 NTC II 80 44099.4 0.1% 16 NTC III 193 110046.1 0.3% 17 Diploma / certificate with less than Grade 12 / 205 112497.8 0.3% Std 10 18 Diploma with less than Grade 12 / Std 10 259 182046.3 0.6% 19 Certificate with Grade 12 / Std 10 939 459554.4 1.4% 20 Diploma with Grade 12 / Std 10 2226 1302047.3 4.0% 21 Bachelors Degree 713 670954.1 2.1% 22 Bachelors Degree and Diploma 260 165745.0 0.5% 23 Honours Degree 243 280299.9 0.9% 24 Higher Degree (Masters, Doctorate) 158 161273.1 0.5% 25 Other 81 61693.3 0.2% 26 Do not know 192 96037.6 0.3%

- 23 - File : LFS16WORKER_092007_F1 # Q13aHiEd: Highest education level

Value Label Cases Weighted Percentage (Weighted) 99 Unspecified 57 33665.5 0.1% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q13bArea: Study field

Information [Type= discrete] [Format=numeric] [Range= 1-99] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Literal question The derived variable indicating the study field of the household member. This variable was derived from the question 1.3b (See Person file).

Value Label Cases Weighted Percentage (Weighted) 1 Communication studies and language 123 101357.5 0.3% 2 Education, training and development 1493 724558.1 2.2% 3 Manufacturing, engineering and technology 560 438466.5 1.3% 4 Human and social studies 193 252521.9 0.8% 5 Law, military science and security 236 160557.0 0.5% 6 Health sciences and social services 557 378031.2 1.2% 7 Agriculture and nature conservation 149 71852.9 0.2% 8 Culture and arts 94 83554.8 0.3% 9 Business, commerce and management studies 916 706317.7 2.2% 10 Physical, mathematical, computer and life 291 189420.3 0.6% sciences 11 Services 79 48285.2 0.1% 12 Physical planning and construction 68 43336.0 0.1% 13 Do not know 24 10757.6 0.0% 88 Not applicable 66570 29328821.4 89.7% 99 Unspecified 277 159066.7 0.5% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q14Skltr: Skills/Training

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Literal question This is a derived variable indicating whether household member have been trainned in skills that can be used for work. This variable was derived from the question 1.4. (See Person file).

Value Label Cases Weighted Percentage (Weighted) 1 Yes 4728 2809258.6 8.6% 2 No 66078 29542593.2 90.4% 3 Do not know 771 326130.2 1.0% 9 Unspecified 53 18922.8 0.1% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q20SelfR: Person him/herself responding

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above.

Literal question Is the person him/herself responding to questions?

- 24 - File : LFS16WORKER_092007_F1 # Q20SelfR: Person him/herself responding

Notes This is for the enumerator to answer. It is recommended that if all the members of the household, who qualify for this section, are present they should answer for themselves. It is through this question that the accuracy of the information received can be qualified, as it would reflect whether people answered for themselves or a proxy responded on their behalf.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 37809 17272548.9 52.8% 2 No 33737 15382116.8 47.0% 9 Unspecified 84 42239.1 0.1% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q21aOwnB: Economic activity: Own business

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units who are aged 15 years and above

Literal question Run or do any kind of business, big or small for himself/herself or with one or more partners?

Notes This question is applicable to all household members aged 15 years and above, regarding their involvement in the economic activities in the seven days prior to the interview. This is part of the questionnaire where there would be a differentiation between economically active population and those who are not economically active. The instruction to the enumerators is that they should consider those activities that lasted for an hour within the seven days. In order to be certain that the categories have been answered there should either be "Yes" or "No" in all of them. Most importantly, is that if there is "Yes" to any part of this question there should be skip to Section 4. If all the categories are "No" there should be a continuation to the next question.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 3954 2078291.1 6.4% 2 No 67655 30613237.2 93.6% 9 Unspecified 21 5376.5 0.0% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q21bPaid: Economic activity: Paid work

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units who are aged 15 years and above

Literal question Do any work for a wage, salary, commission or any payment in kind (excluding domestic work)?

Value Label Cases Weighted Percentage (Weighted) 1 Yes 18537 9824113.9 30.0% 2 No 53073 22867677.2 69.9% 9 Unspecified 20 5113.7 0.0% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q21cDome: Economic activity: Domestic work

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units who are aged 15 years and above

- 25 - File : LFS16WORKER_092007_F1 # Q21cDome: Economic activity: Domestic work

Literal question Do any work as a domestic worker for a wage, salary, or any payment in kind?

Value Label Cases Weighted Percentage (Weighted) 1 Yes 2518 1212115.1 3.7% 2 No 69091 31479413.2 96.3% 9 Unspecified 21 5376.5 0.0% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q21dUnPd: Economic activity: Unpaid work

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units who are aged 15 years and above

Literal question Help unpaid in a household business of any kind?

Value Label Cases Weighted Percentage (Weighted) 1 Yes 155 58819.9 0.2% 2 No 71454 32632708.4 99.8% 9 Unspecified 21 5376.5 0.0% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q21eFarm: Economic activity: Farm work

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units who are aged 15 years and above

Literal question Do any work on his/her own or the household’s plot, farm, food garden, cattle post or kraal or help in growing farm produce or in looking after animals for the household?

Value Label Cases Weighted Percentage (Weighted) 1 Yes 1183 404533.4 1.2% 2 No 70426 32286994.9 98.7% 9 Unspecified 21 5376.5 0.0% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

- 26 - File : LFS16WORKER_092007_F1 # Q21fCons: Economic activity: Construction or major repair work

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units who are aged 15 years and above

Literal question Do any construction or major repair work on his/her own home, plot, cattle post or business or those of the household?

Value Label Cases Weighted Percentage (Weighted) 1 Yes 145 65350.0 0.2% 2 No 71464 32626178.3 99.8% 9 Unspecified 21 5376.5 0.0% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q21gCtch: Economic activity: Catch fish

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units who are aged 15 years and above

Literal question Catch any fish, prawns, shells, wild animals or other food for sale or household food?

Value Label Cases Weighted Percentage (Weighted) 1 Yes 29 14260.7 0.0% 2 No 71580 32677267.6 99.9% 9 Unspecified 21 5376.5 0.0% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q21hBeg: Economic activity: Beg for money/ food

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units who are aged 15 years and above

Literal question Beg for money or food in public?

Value Label Cases Weighted Percentage (Weighted) 1 Yes 8 3486.8 0.0%

- 27 - File : LFS16WORKER_092007_F1 # Q21hBeg: Economic activity: Beg for money/ food

Value Label Cases Weighted Percentage (Weighted) 2 No 71600 32687367.1 100.0% 9 Unspecified 22 6050.8 0.0% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q22HaveW: Temporary absent but have a job

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and older who were not involved in economic activities in the seven days prior to the interview.

Literal question Even though …… did not do any of these activities in the last seven days, does he/she have a job, business, or other economic or farming activity that he/she will definitely return to?

Notes This is only applicable to household members who answered " No" to all the categories in (Q 2.1). The main intention of this question is to qualify whether people have not done anything in the last seven days as it has been reflected in the previous question. The enumerators are instructed that for agricultural activities, any off-season in that field, people are considered to be active in their current jobs, and therefore economically active. For "No" response there should be a skip to Section 3.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 290 112891.5 0.3% 2 No 45317 19116520.9 58.5% 8 Not applicable 25997 13456300.3 41.2% 9 Unspecified 26 11192.1 0.0% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q23Rsnab: Main reason for absent from work

Information [Type= discrete] [Format=numeric] [Range= 1-99] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe Members of the household aged 15 years and older who were not involved in economic activities in the seven days prior to the interview but have a job\business to return to.

Literal question What was the main reason …… was absent from this activity in the last seven days?

Notes This question is aimed at finding out the reasons why people were absent from their normal activities in the seven days prior to the interview. If more than one reason is given, only the main one is recorded. A provision is made to specify the reasons that are not on the pre-coded list.

Value Label Cases Weighted Percentage (Weighted) 1 Own illness or injury 60 21393.2 0.1% 2 Caring for family or others (except maternity / 11 3685.0 0.0% paternity leave) 3 Maternity or paternity leave 35 16194.0 0.0% 4 Other family / community obligations (funerals, 16 5695.8 0.0% meetings) 5 Strikes / stay-away /lockout 0 0.0 6 Problems with transport 4 1550.3 0.0% 7 Bad weather 36 8841.1 0.0% 8 Vacation, leave 51 19964.8 0.1% 9 Study or training leave 5 1928.6 0.0% 11 Temporarily laid off / reduction in economic 44 22305.7 0.1% activity 12 Other reason 25 10683.2 0.0% 88 Not applicable 71314 32572821.3 99.6% - 28 - File : LFS16WORKER_092007_F1 # Q23Rsnab: Main reason for absent from work

Value Label Cases Weighted Percentage (Weighted) 99 Unspecified 29 11841.7 0.0% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q24Start: When intend to start working

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe Members of the household aged 15 years and older who were not involved in economic activities in the seven days prior to the interview but have a job\business to return to.

Literal question When does …… intend to start working?

Notes The question seeks to find out when the people who were absent from normal activities intend going back to work. After this question the instruction is to go to Section 4 since Section 3 is not applicable to people involved in economic activities.

Value Label Cases Weighted Percentage (Weighted) 1 Within a week 84 32783.5 0.1% 2 Within two weeks 52 21660.7 0.1% 3 Within four weeks 32 12924.7 0.0% 4 Later than four weeks from now 95 33881.8 0.1% 5 Do not know 25 11194.8 0.0% 8 Not applicable 71314 32572821.3 99.6% 9 Unspecified 28 11638.1 0.0% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q31OddJO: Supported by: Did odd jobs

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All household members aged 15 years and above who are unemployed and not economically active.

Literal question Did odd jobs during the past seven days

Notes This is applicable to all person’s unemployed or not economically active regardless of whether a person has worked before or not. The interest in this question is to find out how people support themselves even though they are not working. The enumerator is instructed to ask all the given categories. There should either be a "Yes" or a "No" for each category. For any other reason that is not categorised the enumerator has to complete the information in the provided space. If the answer is code "1 = Did odd jobs during the past seven days" where a person "did odd jobs during the seven days prior to the interview" the instruction is to go back to (Q2.1).

Value Label Cases Weighted Percentage (Weighted) 1 Yes 45 17941.8 0.1% 2 No 45207 19065733.6 58.3% 8 Not applicable 26287 13569191.8 41.5% 9 Unspecified 91 44037.6 0.1% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q31inHHP: Supported by: Persons in the household

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All household members aged 15 years and above who are unemployed and not economically active.

Literal question Supported by persons in the household

- 29 - File : LFS16WORKER_092007_F1 # Q31inHHP: Supported by: Persons in the household enumerator is instructed to ask all the given categories. There should either be a "Yes" or a "No" for each category. For any other reason that is not categorised the enumerator has to complete the information in the provided space. If the answer is code "1 = Did odd jobs during the past seven days" where a person "did odd jobs during the seven days prior to the interview" the instruction is to go back to (Q2.1).

Value Label Cases Weighted Percentage (Weighted) 1 Yes 31865 13583445.4 41.5% 2 No 26287 13569191.8 41.5% 3 13388 5500908.3 16.8% 4 90 43359.3 0.1% 8 Not applicable 0 0.0 9 Unspecified 0 0.0 Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q31notHH: Supported by: Persons not in the household

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All household members aged 15 years and above who are unemployed and not economically active.

Literal question Supported by persons not in the household

Value Label Cases Weighted Percentage (Weighted) 1 Yes 5255 2286572.4 7.0% 2 No 39997 16797103.0 51.4% 8 Not applicable 26287 13569191.8 41.5% 9 Unspecified 91 44037.6 0.1% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q31Chari: Supported by: Charity, church, welfare

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All household members aged 15 years and above who are unemployed and not economically active.

Literal question Supported by charity, church, welfare, etc

Value Label Cases Weighted Percentage (Weighted) 1 Yes 456 169580.4 0.5% 2 No 44796 18914095.1 57.8% 8 Not applicable 26287 13569191.8 41.5% 9 Unspecified 91 44037.6 0.1% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

- 30 - File : LFS16WORKER_092007_F1 # Q31UIFSU: Supported by: Unemployment Insurance Fund

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All household members aged 15 years and above who are unemployed and not economically active.

Literal question Unemployment Insurance Fund (UIF)

Value Label Cases Weighted Percentage (Weighted) 1 Yes 142 58497.8 0.2% 2 No 45110 19025177.6 58.2% 8 Not applicable 26287 13569191.8 41.5% 9 Unspecified 91 44037.6 0.1% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q31Savin: Supported by: Savings or money previously earned

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All household members aged 15 years and above who are unemployed and not economically active.

Literal question Savings or money previously earned

Value Label Cases Weighted Percentage (Weighted) 1 Yes 983 538255.7 1.6% 2 No 44269 18545419.8 56.7% 8 Not applicable 26287 13569191.8 41.5% 9 Unspecified 91 44037.6 0.1% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q31Pensi: Supported by: Old age or disability pension

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All household members aged 15 years and above who are unemployed and not economically active.

Literal question Old age or disability pension

Value Label Cases Weighted Percentage (Weighted) 1 Yes 8927 3327135.4 10.2%

- 31 - File : LFS16WORKER_092007_F1 # Q31Pensi: Supported by: Old age or disability pension

Value Label Cases Weighted Percentage (Weighted) 2 No 36325 15756482.4 48.2% 8 Not applicable 26287 13569191.8 41.5% 9 Unspecified 91 44095.3 0.1% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q31Othrs: Supported by: Other sources

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All household members aged 15 years and above who are unemployed and not economically active.

Literal question Other sources, e.g. bursary, study loan

Value Label Cases Weighted Percentage (Weighted) 1 Yes 227 135638.2 0.4% 2 No 45025 18947924.3 58.0% 8 Not applicable 26287 13569191.8 41.5% 9 Unspecified 91 44150.6 0.1% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q32YnotW: Reason for not working

Information [Type= discrete] [Format=numeric] [Range= 1-99] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All household members aged 15 years and above who did not work and did not have a job to return to in the seven days prior to the interview.

Literal question Why did …… not work during the past seven days?

Notes This is applicable to all household members aged 15 years and above who did not work and did not have a job to return to in the last seven days prior to the interview. The intention of this question is to find out the reasons people were not working in the seven days prior to the interview. For any other reason that is not specified in the given categories there is provision to specify . However, if the person has found a job and is supposed to start at a definite date in the future then skip to (Q 3.12).

Value Label Cases Weighted Percentage (Weighted) 1 Has found a job, but is only starting at a definite 66 28834.1 0.1% date in the future 2 Scholar or student and prefers not to work 12077 5092434.2 15.6% 3 Housewife/homemaker and prefers not to work 2533 1010802.1 3.1% 4 Retired and prefers not to seek formal work 941 506501.1 1.5% 5 Illness, invalid, disabled or unable to work 4281 1508356.3 4.6% (handicapped) 6 Too young or too old to work 7098 2691002.0 8.2% 7 Seasonal worker, e.g. fruit picker, wool-shearer 223 55695.9 0.2% 8 Lack of skills or qualifications for available jobs 1185 514763.3 1.6% 9 Cannot find any work 14885 6757904.6 20.7% 10 Cannot find suitable work (salary, location of 306 141226.4 0.4% work or conditions not satisfactory)

- 32 - File : LFS16WORKER_092007_F1 # Q32YnotW: Reason for not working

Value Label Cases Weighted Percentage (Weighted) 11 Contract worker, e.g. mine worker resting 43 16874.2 0.1% according to contract 12 Recently retrenched 206 96195.3 0.3% 13 Other reason 1192 549573.4 1.7% 88 Not applicable 26287 13569191.8 41.5% 99 Unspecified 307 157550.2 0.5% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q33JobOf: Any job offered

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All household members aged 15 years and above who did not work and did not have a job to return to in the seven days prior to the interview.

Literal question Has ……been offered any job in the past 6 months and he/she turned it down?

Notes This question is intended to finding out if people have been offered jobs in the 6 months prior to the interview but turned them down though they are not working.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 500 216071.4 0.7% 2 No 44645 18822496.3 57.6% 8 Not applicable 26353 13598025.9 41.6% 9 Unspecified 132 60311.2 0.2% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q34WrkRe: Knowledge of any available work

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All household members aged 15 years and above who did not work and did not have a job to return to in the seven days prior to the interview.

Literal question Does …… know of any available work for which he/she has the relevant qualification but is not willing to do?

Notes The question intends to establish if there are jobs available, for which people are qualified for, but people are not willing to do such jobs. The instruction is to go to (Q3.6) if the answer is "No".

Value Label Cases Weighted Percentage (Weighted) 1 Yes 201 106680.1 0.3% 2 No 44894 18912231.8 57.8% 8 Not applicable 26353 13598025.9 41.6% 9 Unspecified 182 79967.0 0.2% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q35WhyNo: Reason not willing to work

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All household members aged 15 years and above who did not work and did not have jobs to return to but know of available jobs for which they are qualified but are not willing to do these jobs.

Literal question Why would ………….not be willing to do this work?

- 33 - File : LFS16WORKER_092007_F1 # Q35WhyNo: Reason not willing to work

Notes This question is applicable to people not working and know of available jobs for which they qualify for but are not willing to do these jobs. The question seeks to establish the reasons why people wouldn’t be willing to do the available jobs for which they qualify for.

Value Label Cases Weighted Percentage (Weighted) 1 Wages too low 53 38348.0 0.1% 2 Job is not permanent 21 9914.2 0.0% 3 Location (work too far) 16 2749.2 0.0% 4 Working conditions unsuitable 31 17506.3 0.1% 5 Work not legal 2 2500.3 0.0% 6 Attending an educational institution 20 14545.9 0.0% 7 Other 37 14704.7 0.0% 8 Not applicable 71247 32510257.7 99.4% 9 Unspecified 203 86378.4 0.3% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q36Accep: Accept job if offered

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All household members aged 15 years and above who did not work and did not have jobs to return to in the seven days prior to the interview.

Literal question If a suitable job is offered, will … … accept it?

Notes This question is applicable to people not working, know of available jobs for which they qualify for but are not willing to do these jobs. The interest is in finding out if suitable jobs were offered people would be willing to accept them. If the response to this question is a "No" or a "Don’t know" then skip to (Q 3.12).

Value Label Cases Weighted Percentage (Weighted) 1 Yes 17911 8046714.3 24.6% 2 No 26748 10778575.4 33.0% 3 Do not know 499 216747.4 0.7% 8 Not applicable 26353 13598025.9 41.6% 9 Unspecified 119 56841.9 0.2% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q37WhnSt: How soon can start working

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All household members aged 15 years and above who did not work and did not have jobs to return to in the seven days prior to the interview and are willing to accept jobs if offered.

Literal question How soon can …… start work?

Notes This question is applicable to people that answered "Yes" in (Q3.6). It seeks to find out how soon people are willing to start work, if offers are made to them.

Value Label Cases Weighted Percentage (Weighted) 1 Within a week 16854 7566711.9 23.1% 2 Within two weeks 471 187461.9 0.6% 3 Within four weeks 129 54983.6 0.2% 4 Later than four weeks from now 303 166090.2 0.5% 5 Do not know 33 24021.6 0.1%

- 34 - File : LFS16WORKER_092007_F1 # Q37WhnSt: How soon can start working

Value Label Cases Weighted Percentage (Weighted) 8 Not applicable 53600 24593348.7 75.2% 9 Unspecified 240 104287.0 0.3% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q38LookW: Look for work

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All household members aged 15 years and above.

Literal question During the past four weeks, has …… taken any action:Look for work?

Notes This question is only applicable if a person is prepared to accept a suitable job offer as reflected in (Q 3.7). The interest is to find out whether a person has taken any action to look for a job in the four weeks prior to the interview. The instruction to the numerator is to complete both given categories with either a "Yes " or a "No" answer. If "No" to both a) and b) the enumerator should skip to (Q3.11).

Value Label Cases Weighted Percentage (Weighted) 1 Yes 8785 4036544.2 12.3% 2 No 9094 3994261.1 12.2% 8 Not applicable 53600 24593348.7 75.2% 9 Unspecified 151 72750.9 0.2% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q38BgnBu: Start business

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All household members aged 15 years and above.

Literal question During the past four weeks, has …… taken any action:Start business?

Value Label Cases Weighted Percentage (Weighted) 1 Yes 400 214022.8 0.7% 2 No 17474 7815498.6 23.9% 8 Not applicable 53600 24593348.7 75.2% 9 Unspecified 156 74034.7 0.2% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q39Seekh: Steps taken to look for work or start business

Information [Type= discrete] [Format=numeric] [Range= 1-99] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All household members aged 15 years and above who are willing to accept jobs if offered and have tried to look for work in the four weeks prior to the interview.

Literal question In the past four weeks, what has …… done to look for work or to start a business?

Notes The question is intended to find out what the people did to look for work or start their own businesses. If a person has tried several ways of finding work, the most important one or the one on which he/she has spent the most time is recorded.

- 35 - File : LFS16WORKER_092007_F1 # Q39Seekh: Steps taken to look for work or start business

Value Label Cases Weighted Percentage (Weighted) 1 Waited/registered at employment agency/trade 567 273011.8 0.8% union 2 Enquired at workplaces, farms, factories or called 4221 1855307.5 5.7% on other possible employers 3 Placed/answered advertisement(s) 1809 828114.6 2.5% 4 Sought assistance from relatives or friends 1000 532965.6 1.6% 5 Looked for land, building, equipment or applied 95 38927.0 0.1% for permit to start own business or farming 6 Waited at the street-side where casual workers 885 418189.9 1.3% are found 7 Other 141 60265.1 0.2% 8 Do not know 20 8635.1 0.0% 88 Not applicable 62601 28538457.8 87.3% 99 Unspecified 291 143030.6 0.4% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q310TimS: Time seeking work

Information [Type= discrete] [Format=numeric] [Range= 1-99] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All household members aged 15 years and above who are willing to accept jobs if offered and have tried to look for work in the four weeks prior to the interview.

Literal question How long has …… been trying to find work or start a business?

Notes The question is on the length of time the person spent trying to look for a job. After this question the instruction is to go to (Q3.12).

Value Label Cases Weighted Percentage (Weighted) 1 Less than a month 1227 650038.7 2.0% 2 1 month to less than 2 months 789 360400.4 1.1% 3 2 months to less than 3 months 529 240945.8 0.7% 4 3 months to less than 4 months 370 163914.8 0.5% 5 4 months to less than 6 months 438 198276.1 0.6% 6 6 months to less than 1 year 945 433165.6 1.3% 7 1 year to less than 3 years 1856 846292.1 2.6% 8 3 years or more 2504 1084657.1 3.3% 9 Do not know 16 9296.6 0.0% 88 Not applicable 62601 28538457.8 87.3% 99 Unspecified 355 171459.7 0.5% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q311RsnN: Reason why not look for work/start business

Information [Type= discrete] [Format=numeric] [Range= 1-99] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All household members aged 15 years and above, and did not have jobs to return to in the four weeks prior to the interview but did not look for work.

Literal question What was the main reason why …… did not try to find work or start a business in the past four weeks?

Notes The question is seeking for reasons why people, who are not working, did not try to look for work or start their own businesses. It only applies to people who answered "No" to both a) and b) of (Q3.8).

- 36 - File : LFS16WORKER_092007_F1 # Q311RsnN: Reason why not look for work/start business

Value Label Cases Weighted Percentage (Weighted) 1 Has been temporarily laid off work 29 20416.4 0.1% 2 Ill health/injury/physical disability 240 92854.6 0.3% 3 Pregnancy 183 84683.7 0.3% 4 Family considerations/child care 650 284456.6 0.9% 5 Undergoing training to help find work 78 33463.3 0.1% 6 No jobs available in the area 4941 2015086.0 6.2% 7 Lack of money to pay for transport to look for 1083 544185.1 1.7% work 8 Unable to find work requiring his/her skills 326 128139.1 0.4% 9 Lost hope of finding any kind of work 803 430259.8 1.3% 10 No transport available 20 9053.9 0.0% 11 Other reason 515 247714.8 0.8% 88 Not applicable 62478 28679044.7 87.7% 99 Unspecified 284 127546.9 0.4% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q312Ever: Ever worked

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All household members aged 15 years and above and did not have jobs to return to in the four weeks prior to the interview but did not look for work.

Literal question Has …… ever worked for pay, profit or family gain?

Notes The interest is in finding out if the person has ever worked for pay, profit or family gain. This includes those who worked for some form of payment or worked unpaid for a family business or farming activities. The instruction for the interviewer is to go to Section 5 if the answer to this question is "No".

Value Label Cases Weighted Percentage (Weighted) 1 Yes 17605 6993835.4 21.4% 2 No 27547 12043764.5 36.8% 8 Not applicable 26287 13569191.8 41.5% 9 Unspecified 191 90113.2 0.3% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q313TmGa: Time since last worked

Information [Type= discrete] [Format=numeric] [Range= 1-99] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All household members aged 15 years and above and did not have jobs to return to in the four weeks prior to the interview but did not look for work.

Literal question How long ago was it since …… last worked?

Notes This is only applicable if there is a "Yes" in the previous question (Q3.12). The interest in this question is in finding out for how long a person has worked in the last job he/she occupied. The enumerator was asked to probe for more information since people of this calibre are usually uncertain of the required information.

Value Label Cases Weighted Percentage (Weighted) 1 More than a week but less than 1 month 370 133574.0 0.4% 2 1 month - less than 2 months 521 236174.9 0.7% 3 2 months - less than 3 months 438 182116.7 0.6%

- 37 - File : LFS16WORKER_092007_F1 # Q313TmGa: Time since last worked

Value Label Cases Weighted Percentage (Weighted) 4 3 months - less than 4 months 411 149143.8 0.5% 5 4 months - less than 5 months 346 120151.5 0.4% 6 5 months - less than 6 months 439 173305.0 0.5% 7 6 months - less than 1 year 1409 553496.6 1.7% 8 1 year - less than 2 years 1587 694335.9 2.1% 9 2 Years - less than 3 years 1263 535163.3 1.6% 10 3 years or more 9495 3647377.4 11.2% 11 Do not know 106 37237.3 0.1% 88 Not applicable 53834 25612956.3 78.3% 99 Unspecified 1411 621872.1 1.9% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q314Occu: Kind of work done in last occupation

Information [Type= discrete] [Format=numeric] [Range= 1110-9999] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All household members aged 15 years and above and did not have jobs to return to in the four weeks prior to the interview but did not look for work.

Literal question What kind of work did …… do in his/her last job? Give occupation or job title.

Notes This question is applicable to household members who have ever worked. It is important that the main tasks should be in English as the occupational codes are only in that language. The instruction to the enumerator is to ask the respondent the main tasks or duties done in his/her last job given in (Q 3.14.a). Questions (3.14.a) and (3.14.b) were written-in. The responses were used to determine the occupation. The occupation was coded to four digits on the basis of the South Africa Standard Classification of Occupations (SASCO) (see Occupation code list).

Value Label Cases Weighted Percentage (Weighted) 1110 Legislators 7 3723.8 0.0% 1120 Senior government officers 31 12553.2 0.0% 1141 Senior officers of political party organisations 1 195.7 0.0% 1210 Directors and chief executives 3 700.3 0.0% 1221 Production and operations managers/department 6 888.3 0.0% managers in agriculture; hunting; forestry; fishing and mining 1222 Production and operations managers/department 6 1873.0 0.0% managers in manufacturing 1224 Production and operations managers/department 19 10449.5 0.0% managers in wholesale and retail trade 1225 Production and operations managers/department 8 5641.2 0.0% managers in hotels; restaurants and other catering and accommodation services 1226 Production and operations managers/ 4 1329.9 0.0% department managers in transport; storage and communications 1227 Production and operations managers/department 20 12921.1 0.0% managers in business services 1228 Production and operations managers/department 2 625.1 0.0% managers in personal care; cleaning and related services 1229 Production and operations managers/department 8 3718.6 0.0% managers not elsewhere classified

- 38 - File : LFS16WORKER_092007_F1 # Q314Occu: Kind of work done in last occupation

Value Label Cases Weighted Percentage (Weighted) 1231 Finance and administration managers/department 30 23201.9 0.1% managers 1232 Personnel and industrial relations managers/ 19 45094.7 0.1% department managers 1233 Sales and marketing managers/department 13 6533.4 0.0% managers 1234 Advertising and public relations managers/ 1 653.9 0.0% department managers 1235 Supply and distribution managers/department 2 520.4 0.0% managers 1236 Computing services managers/department 1 1009.4 0.0% managers 1239 Other managers/department managers not 10 7265.3 0.0% elsewhere classified 1311 General managers in agriculture; hunting; 13 2240.5 0.0% forestry and fishing 1312 General managers in manufacturing 4 1333.1 0.0% 1313 General managers in construction 11 4407.1 0.0% 1314 General managers in wholesale and retail trade 31 16329.2 0.0% 1315 General managers of hotels; restaurants and other 24 12607.8 0.0% catering or accommodation services 1316 General managers in transport; storage and 4 2043.9 0.0% communication 1317 General managers of business services 10 3621.7 0.0% 1390 General managers not elsewhere classified 1 222.4 0.0% 2111 Physicists and astronomers 1 718.5 0.0% 2113 Chemists 1 420.5 0.0% 2114 Geologists and geophysicists 2 997.6 0.0% 2131 Computer systems designers and analysts 1 664.4 0.0% 2132 Computer programmers 1 1866.6 0.0% 2141 Architects; town and traffic planners 1 689.0 0.0% 2142 Civil engineers 5 1805.8 0.0% 2143 Electrical engineers 2 2019.6 0.0% 2144 Electronics and telecommunications engineers 2 2086.9 0.0% 2145 Mechanical engineers 7 6709.6 0.0% 2146 Chemical engineers 2 1379.5 0.0% 2147 Mining engineers; metallurgists and related 2 312.2 0.0% professionals 2148 Cartographers and surveyors 4 988.7 0.0% 2190 Physical; mathematical and engineering science 1 718.5 0.0% professionals not elsewhere classified 2210 Scientist 1 17532.1 0.1% 2211 Biologists; botanists; zoologists and related 1 938.6 0.0% professionals 2213 Agronomists; food scientists and related 7 2843.1 0.0% professionals 2221 Medical professions 7 1127.8 0.0% 2224 Pharmacists 2 3654.4 0.0%

- 39 - File : LFS16WORKER_092007_F1 # Q314Occu: Kind of work done in last occupation

Value Label Cases Weighted Percentage (Weighted) 2230 Nursing and midwifery professionals 35 14037.9 0.0% 2310 Technikon; teacher training; technical and other 20 11961.1 0.0% colleges; university and other higher education institutions teaching professionals 2320 Secondary education teaching professionals 23 26739.7 0.1% 2331 Primary education teaching professionals 57 21537.8 0.1% 2332 Pre-primary education teaching professionals 4 2369.9 0.0% 2340 Special education teaching professionals 2 529.5 0.0% 2351 Education methods specialists 3 998.2 0.0% 2411 Accountants and related accounting occupations 25 28017.0 0.1% 2412 Personnel and careers professionals 4 943.6 0.0% 2419 Business professionals not elsewhere classified 39 17126.2 0.1% 2421 Advocates; attorneys and related occupations 6 1375.9 0.0% 2422 Judges and magistrates 1 228.3 0.0% 2429 Legal professionals not elsewhere classified 1 222.7 0.0% 2432 Librarians and related information professionals 5 1710.2 0.0% 2444 Philologists; translators and interpreters 4 1047.2 0.0% 2446 Social work professionals 1 2194.9 0.0% 2451 Authors; journalists and other writers 3 3141.2 0.0% 2452 Sculptors; painters and related artists 3 1122.0 0.0% 2455 Film; stage and related actors and directors 1 659.1 0.0% 2460 Religious professionals 8 5525.7 0.0% 3111 Natural science technicians 8 1977.1 0.0% 3112 Civil engineering technicians 5 3130.7 0.0% 3113 Electrical engineering technicians 9 4995.7 0.0% 3114 Electronics and telecommunications engineering 16 7338.5 0.0% technicians 3115 Mechanical engineering technicians 7 3412.5 0.0% 3116 Chemical engineering technicians 1 1890.4 0.0% 3117 Mining and metallurgical technicians 1 27.6 0.0% 3121 Computer assistants 3 2929.0 0.0% 3122 Computer equipment operators 1 938.3 0.0% 3131 Photographers and image and sound recording 4 1314.4 0.0% equipment operators 3132 Broadcasting and telecommunications equipment 3 1112.9 0.0% operators 3142 Ships' deck officers and pilots 1 342.0 0.0% 3145 Air traffic safety technicians 1 282.6 0.0% 3151 Building and fire inspectors 4 1097.1 0.0% 3152 Safety; health and quality inspectors 43 28502.7 0.1% 3211 Life science technicians 1 197.2 0.0% 3213 Farming and forestry advisers/consultants 1 400.5 0.0% 3221 Medical assistants 1 652.5 0.0% 3222 Sanitarians 3 321.2 0.0% 3224 Optometrists and opticians 1 798.9 0.0%

- 40 - File : LFS16WORKER_092007_F1 # Q314Occu: Kind of work done in last occupation

Value Label Cases Weighted Percentage (Weighted) 3225 Dental assistants 4 3431.5 0.0% 3226 Physiotherapists and related associate 4 27428.9 0.1% professionals 3228 Pharmaceutical assistants 4 730.9 0.0% 3229 Modern health associate professionals (except 4 10735.9 0.0% nursing) not elsewhere classified 3231 Nursing associate professionals 112 50240.3 0.2% 3232 Midwifery associate professionals 1 62.4 0.0% 3241 Traditional medicine practitioners 11 3281.4 0.0% 3310 Primary education teaching associate 116 45063.7 0.1% professionals 3320 Pre-primary education teaching associate 32 18166.2 0.1% professionals 3330 Special education teaching associate 1 220.5 0.0% professionals 3340 Other teaching associate professionals 4 1578.7 0.0% 3391 Teaching associate professionals not elsewhere 52 22473.3 0.1% classified 3411 Securities and finance dealers and brokers 4 2279.7 0.0% 3412 Insurance representatives 13 6620.4 0.0% 3413 Estate agents 13 5261.4 0.0% 3414 Travel consultants and organisers 1 280.2 0.0% 3415 Technical and commercial sales representatives 32 11138.5 0.0% 3416 Buyers 35 21518.9 0.1% 3423 Employment agents and labour contractors 4 1938.2 0.0% 3424 Statistical, mathematical and related associate 2 661.5 0.0% professionals 3429 Business services agents and trade brokers not 14 8942.2 0.0% elsewhere classified 3431 Administrative secretaries and related associate 3 891.5 0.0% professionals 3432 Legal and related business associate professionals 2 1480.2 0.0% 3433 Bookkeepers 28 8472.1 0.0% 3449 Customs; tax and related government associate 6 2630.4 0.0% professionals not elsewhere classified 3450 Police inspectors and detectives 7 4644.7 0.0% 3460 Social work associate professionals 10 2890.2 0.0% 3471 Decorators and commercial designers 22 13094.1 0.0% 3472 Radio; television and other announcers 1 325.1 0.0% 3473 Street; nightclub and related musicians; singers 1 568.8 0.0% and dancers 3475 Athletes; sportspersons and related associate 6 4122.2 0.0% professionals 3479 Art; entertainment and sport associate 1 85.5 0.0% professionals not elsewhere classified 4111 Stenographers and typists 22 14374.4 0.0% 4113 Data entry operators 39 24481.0 0.1% 4114 Calculating-machine operators 2 1291.2 0.0% - 41 - File : LFS16WORKER_092007_F1 # Q314Occu: Kind of work done in last occupation

Value Label Cases Weighted Percentage (Weighted) 4115 Secretaries 61 42610.9 0.1% 4121 Accounting and bookkeeping clerks 76 34806.9 0.1% 4122 Statistical finance clerks 19 15084.2 0.0% 4131 Stock clerks 96 47147.7 0.1% 4132 Production clerks 8 6121.3 0.0% 4133 Transport clerks 19 19417.8 0.1% 4141 Library and filing clerks 125 80767.2 0.2% 4142 Mail carriers and sorting clerks 16 6109.5 0.0% 4143 Coding; proof-reading and related clerks 26 7748.4 0.0% 4144 Scribes and related workers 1 436.2 0.0% 4190 Other office clerks and clerks not elsewhere 125 84679.7 0.3% classified (except customer services clerks) 4211 Cashiers and ticket clerks 404 176015.1 0.5% 4212 Tellers and other counter clerks 45 16785.6 0.1% 4213 Bookmakers and croupiers 2 932.6 0.0% 4215 Debt-collectors and related workers 2 979.0 0.0% 4222 Receptionists and information clerks 89 50938.7 0.2% 4223 Telephone switchboard operators 19 8299.2 0.0% 4290 Customer services clerks not elsewhere classified 1 200.0 0.0% 5112 Transport conductors and transport occupations 8 6104.4 0.0% not elsewhere classified 5113 Travel guides 5 1777.3 0.0% 5121 Housekeepers and related workers 10 5430.3 0.0% 5122 Cooks 270 105190.3 0.3% 5123 Waiters; waitresses and bartenders 158 65978.7 0.2% 5124 Operators; tavern; shebeen 12 4239.3 0.0% 5131 Child-care workers 53 24171.3 0.1% 5132 Institution-based personal care workers 25 7582.9 0.0% 5133 Home-based personal care workers 23 7350.9 0.0% 5139 Personal care and related workers not elsewhere 9 10985.1 0.0% classified 5141 Hairdressers; barbers; beauticians and related 47 28966.3 0.1% workers 5143 Undertakers and embalmers 3 927.2 0.0% 5161 Fire-fighters 6 1528.6 0.0% 5162 Police officers; traffic officers 61 26227.2 0.1% 5163 Prison guards 13 3935.2 0.0% 5164 Armed forces 32 15720.3 0.0% 5169 Protective services workers not elsewhere 319 179348.4 0.5% classified 5220 Shop salespersons and demonstrators 405 175332.1 0.5% 5230 Stall and market salespersons 10 3206.9 0.0% 5231 Owner; spaza shop 15 5364.1 0.0% 6111 Field crop and vegetable growers 238 78012.1 0.2% 6112 Tree and shrub crop growers 43 8055.9 0.0%

- 42 - File : LFS16WORKER_092007_F1 # Q314Occu: Kind of work done in last occupation

Value Label Cases Weighted Percentage (Weighted) 6113 Gardeners; horticultural and nursery growers 50 14305.4 0.0% 6121 Dairy and livestock producers 41 9111.4 0.0% 6122 Poultry producers 5 2398.6 0.0% 6123 Apiarists and sericulturists 4 749.1 0.0% 6124 Mixed animal producers 1 222.3 0.0% 6129 Market-oriented animal producers and related 2 238.1 0.0% workers not elsewhere classified (farm owners/ owners) 6130 Market-oriented crop and animal producers 3 414.2 0.0% 6141 Forestry workers and loggers 43 16539.2 0.1% 6142 Charcoal burners and related workers 2 1152.9 0.0% 6151 Aquatic life cultivation workers 2 433.3 0.0% 6152 Inland and coastal waters fishery workers 10 1421.6 0.0% 6153 Deep-sea fishery workers 3 472.9 0.0% 6210 Subsistence agricultural and fishery workers 125 33907.2 0.1% 6211 Subsistence farmers 1037 226097.1 0.7% 7111 Miners and quarry workers 74 30767.3 0.1% 7112 Shot-firers and blasters 1 85.7 0.0% 7113 Stone splitters; cutters and carvers 7 3167.3 0.0% 7114 Diamond divers 2 645.2 0.0% 7121 Builders; traditional materials 14 5429.8 0.0% 7122 Bricklayers and stonemasons 337 131588.9 0.4% 7123 Concrete placers; concrete finishers and related 22 9277.8 0.0% workers 7124 Carpenters and joiners 85 38702.8 0.1% 7129 Building frame and related workers not elsewhere 54 28147.1 0.1% classified 7131 Roofers 12 5669.4 0.0% 7132 Floor layers and tile setters 20 8071.8 0.0% 7133 Plasterers 1 496.4 0.0% 7134 Insulation workers 1 538.7 0.0% 7135 Glaziers 1 133.7 0.0% 7136 Plumbers and pipe fitters 102 42738.5 0.1% 7137 Building and related electricians 72 45050.0 0.1% 7141 Painters and related workers 115 47663.5 0.1% 7142 Varnishers and related painters 8 3512.9 0.0% 7143 Building structure cleaners 9 2982.7 0.0% 7190 Extraction and building trades workers not 1 186.4 0.0% elsewhere classified 7212 Welders and flamecutters 95 49958.5 0.2% 7213 Sheet-metal workers 40 20289.2 0.1% 7214 Structural-metal preparers and erectors 17 5652.2 0.0% 7215 Riggers and cable splicers 4 11794.8 0.0% 7221 Blacksmiths; hammersmiths and forging-press 1 416.8 0.0% workers

- 43 - File : LFS16WORKER_092007_F1 # Q314Occu: Kind of work done in last occupation

Value Label Cases Weighted Percentage (Weighted) 7222 Tool-makers and related workers 7 1448.8 0.0% 7223 Machine-tool setters and setter-operators 4 2105.8 0.0% 7224 Metal wheel-grinders; polishers and tool 6 2861.3 0.0% sharpeners 7231 Motor vehicle mechanics and fitters 168 62829.1 0.2% 7233 Agricultural or industrial machinery mechanics 17 13484.4 0.0% and fitters 7241 Electrical mechanics and fitters 44 19021.6 0.1% 7243 Electronics mechanics and servicers 11 4611.5 0.0% 7244 Telegraph and telephone installers and servicers 8 1908.8 0.0% 7245 Electrical line installers; repairers and cable 11 4307.7 0.0% jointers 7290 Metal; machinery and related trades workers not 9 4808.5 0.0% elsewhere classified 7311 Precision-instrument/instrument makers and 7 2519.3 0.0% repairers 7312 Musical instrument makers and tuners 1 144.7 0.0% 7313 Jewellery and precious-metal workers 7 7208.9 0.0% 7321 Abrasive wheel formers; potters and related 58 19349.8 0.1% workers 7322 Glass-makers; cutters; grinders and finishers 7 2534.8 0.0% 7323 Glass engravers and etchers 2 1524.5 0.0% 7324 Glass; ceramics and related decorative painters 1 826.7 0.0% 7331 Handicraft workers in wood and related materials 7 2964.6 0.0% 7332 Handicraft workers in textile; leather and related 11 4357.3 0.0% materials 7341 Compositors; typesetters and related workers 16 10920.6 0.0% 7343 Printing engravers and etchers 1 320.8 0.0% 7344 Photographic and related workers 1 206.9 0.0% 7411 Butchers; fishmongers and related food preparers 56 20042.5 0.1% 7412 Millers; bakers; pastry-cooks and confectionery 85 37401.6 0.1% makers 7413 Dairy products makers 3 1109.7 0.0% 7414 Fruit; vegetable and related products preservers 1 347.9 0.0% 7415 Food and beverage tasters and graders 4 1219.2 0.0% 7416 Tobacco preparers and tobacco products makers 10 3658.9 0.0% 7421 Wood treaters 3 1294.9 0.0% 7422 Cabinetmakers and related workers 7 1079.2 0.0% 7423 Woodworking-machine setters and setter- 3 1076.9 0.0% operators 7424 Basketry weavers; brush makers and related 8 3230.7 0.0% workers 7432 Weavers; knitters and related workers 18 12105.2 0.0% 7433 Tailors; dressmakers and hatters 71 31303.6 0.1% 7434 Furriers and related workers 4 2051.0 0.0% 7435 Textile; leather and related pattern-makers and 5 5780.6 0.0% cutters

- 44 - File : LFS16WORKER_092007_F1 # Q314Occu: Kind of work done in last occupation

Value Label Cases Weighted Percentage (Weighted) 7436 Sewers; embroiderers and related workers 58 44520.6 0.1% 7437 Upholsterers and related workers 5 1632.3 0.0% 7441 Pelt dressers; tanners and fellmongers 2 777.4 0.0% 7442 Shoemakers and related workers 26 7921.5 0.0% 7490 Other craft and related trades workers not 12 4659.7 0.0% elsewhere classified 8111 Mining plant operators 29 11891.9 0.0% 8112 Mineral-ore and stone-processing plant operators 18 8718.1 0.0% 8121 Ore and metal furnace operators 2 716.1 0.0% 8122 Metal melters and casters and rolling-mill 10 2743.6 0.0% operators 8123 Metal heat-treating plant operators 4 6081.2 0.0% 8124 Metal drawers and extruders 2 836.7 0.0% 8131 Glass and ceramics kiln and related machine 8 2859.1 0.0% operators 8141 Wood-processing plant operators 30 9794.0 0.0% 8142 Paper-pulp plant operators 2 1322.8 0.0% 8143 Papermaking-plant operators 3 1437.2 0.0% 8151 Crushing; grinding and chemical-mixing 9 4258.4 0.0% machinery operators 8152 Chemical-heat-treating plant operators 2 333.6 0.0% 8153 Chemical-filtering and separating-equipment 2 1874.4 0.0% operators 8159 Chemical-processing plant operators not 5 2570.2 0.0% elsewhere classified 8161 Power-production plant operators 3 1772.1 0.0% 8162 Steam-engine and boiler operators 3 835.4 0.0% 8163 Incinerator; water-treatment and related plant 9 5146.4 0.0% operators 8171 Automated assembly-line operators 1 252.7 0.0% 8211 Machine-tool operators 73 35629.7 0.1% 8212 Cement and other mineral products machine- 16 6096.6 0.0% operators 8222 Ammunition and explosive-products machine 4 640.8 0.0% operators 8223 Metal finishing; plating and coating machine 3 1401.6 0.0% operators 8224 Photographic products machine operators 2 168.2 0.0% 8229 Chemical products machine operators not 3 919.5 0.0% elsewhere classified 8231 Rubber products machine operators 12 5543.4 0.0% 8232 Plastic products machine operators 15 8885.6 0.0% 8240 Wood products machine operators 17 8784.2 0.0% 8251 Printing machine operators 8 4801.4 0.0% 8252 Bookbinding machine operators 2 557.7 0.0% 8253 Paper-products machine operators 7 2980.2 0.0%

- 45 - File : LFS16WORKER_092007_F1 # Q314Occu: Kind of work done in last occupation

Value Label Cases Weighted Percentage (Weighted) 8261 Fibre-preparing; spinning and winding-machine 7 3366.1 0.0% operators 8262 Weaving and knitting machine operators 21 6593.9 0.0% 8263 Sewing-machine operators 136 73382.5 0.2% 8264 Bleaching; dyeing and cleaning-machine 7 2303.0 0.0% operators 8265 Fur and leather-preparing machine operators 2 298.9 0.0% 8266 Shoemaking and related machine operators 29 11678.9 0.0% 8269 Textile; fur and leather products machine 9 4206.3 0.0% operators not elsewhere classified 8271 Meat and fish-processing machine operators 16 7152.8 0.0% 8272 Dairy products machine operators 2 977.6 0.0% 8273 Grain and spice-milling machine operators 5 2050.2 0.0% 8274 Baked goods; cereal and chocolate products 13 5439.2 0.0% machine operators 8275 Fruit; vegetable and nut-processing machine 10 2296.7 0.0% operators 8276 Sugar production machine operators 5 976.8 0.0% 8278 Brewers; wine and other beverage machine 7 3025.1 0.0% operators 8279 Tobacco production machine operators 1 156.9 0.0% 8281 Mechanical machinery assemblers 22 13311.6 0.0% 8282 Electrical equipment assemblers 4 3500.0 0.0% 8283 Electronic equipment assemblers 2 987.7 0.0% 8284 Metal; rubber and plastic-products assemblers 3 1759.0 0.0% 8285 Wood and related products assemblers 4 1930.0 0.0% 8286 Paperboard; textile and related products 5 1371.0 0.0% assemblers 8290 Other machine operators and assemblers not 16 8112.7 0.0% elsewhere classified 8311 Locomotive engine drivers 36 12792.9 0.0% 8312 Railway brakers; signallers; shunters and related 6 2258.3 0.0% workers 8320 Driver; taxi 21 12767.4 0.0% 8321 Motor cycle drivers 4 1252.5 0.0% 8322 Car; taxi and van drivers 90 39097.4 0.1% 8323 Bus and tram drivers 27 9726.8 0.0% 8324 Heavy truck and lorry drivers 284 119066.8 0.4% 8325 1 591.0 0.0% 8331 Motorised farm and forestry plant operators 99 31125.4 0.1% 8332 Earth-moving and related plant operators 22 6751.1 0.0% 8333 Crane; hoist and related plant operators 35 13951.3 0.0% 8334 Lifting-truck operators 48 25869.0 0.1% 8340 Ships' deck crews and related workers 1 1034.0 0.0% 8888 Not applicable 53834 25612956.3 78.3% 9111 Street food vendors and related workers 100 35774.1 0.1%

- 46 - File : LFS16WORKER_092007_F1 # Q314Occu: Kind of work done in last occupation

Value Label Cases Weighted Percentage (Weighted) 9112 Street vendors; non-food products 55 26560.3 0.1% 9120 Shoe cleaning and other elementary street 21 7799.3 0.0% services occupations 9131 Domestic helpers and cleaners 4266 1439920.9 4.4% 9132 Helpers and cleaners in offices; hotels and other 608 243855.7 0.7% establishments 9133 Hand-launderers and pressers 30 10366.5 0.0% 9141 Building caretakers 27 8906.1 0.0% 9142 Vehicle; window and related cleaners 11 5700.9 0.0% 9151 Messengers; package and luggage porters and 62 26567.2 0.1% deliverers 9152 Doorkeepers; watchpersons and related workers 18 7977.3 0.0% 9153 Vending-machine money collectors; meter 5 3080.1 0.0% readers and related workers 9161 Garbage collectors 26 11025.2 0.0% 9162 Sweepers and related labourers 96 34621.9 0.1% 9190 Elementary sales and services occupations not 7 4806.9 0.0% elsewhere classified 9211 Farmhands and labourers 1759 534792.2 1.6% 9212 Forestry labourers 101 31391.3 0.1% 9213 Fishery; hunting and trapping labourers 12 1396.2 0.0% 9311 Mining and quarrying labourers 192 69539.7 0.2% 9312 Construction and maintenance labourers: roads; 489 173121.8 0.5% dams and similar constructions 9313 Building construction labourers 178 74433.7 0.2% 9321 Assembling labourers 17 5854.0 0.0% 9322 Hand packers and other manufacturing labourers 669 312897.0 1.0% 9331 Hand or pedal vehicle drivers 3 1097.1 0.0% 9332 Drivers of animal-drawn vehicles and machinery 2 349.6 0.0% 9333 Freight handlers 74 29099.7 0.1% 9999 Occupations unspecified 246 141841.1 0.4% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q315Indu: Industry activity of last job

Information [Type= discrete] [Format=numeric] [Range= 10-999] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All household members aged 15 years and above and did not have jobs to return to in the four weeks prior to the interview but did not look for work.

Literal question What were the main goods and services produced at ……'s place of work? What were its main functions?

Notes This question is applicable to household members who have been performing certain economic activities in the seven days prior the interview. It is important that the service or main goods are in English as the industry codes are only in this language. Although a person may have certain roles and responsibilities within the company she/he is working for, the enumerator is instructed to record the main goods or services produced by the company. Questions (3.15.a) and (3.15.b) were written-in. The responses were used to determine the industry. The industry was coded to three digits on the basis of the International South Africa Industrial Classification of all Economic Activities (ISIC) 1993 (see elsewhere in documentation for codes).

- 47 - File : LFS16WORKER_092007_F1 # Q315Indu: Industry activity of last job

Value Label Cases Weighted Percentage (Weighted) 10 Private households with employed persons 4559 1549315.2 4.7% 20 Exterritorial organisations 11 3929.0 0.0% 111 Growing of grains (eg. maize, wheat, barley etc.), 583 146500.2 0.4% oil seeds (eg. sunflowers) and ground nuts (eg. peanuts) 112 Growing of vegetables 1179 303092.4 0.9% 113 Growing of other horticultural specialities and 34 10556.0 0.0% nursery products 114 Growing of fruit 363 95274.2 0.3% 115 Growing of vineyards 174 27625.8 0.1% 116 Growing sugar cane 88 32980.9 0.1% 117 Growing of cotton 41 22021.0 0.1% 118 Growing of other crops (eg. Spices) / unspecified 62 21849.1 0.1% (where no other details are given) 120 Farming of animals 3 808.0 0.0% 121 Animals for meat, including breeding but 269 77065.0 0.2% excluding chicken, game or horses 122 Chickens, including breeding and slaughtering 54 26930.5 0.1% 123 Horses 6 2673.5 0.0% 124 Dairy farming, including milk etc. 26 10206.1 0.0% 125 Sheep 81 9948.1 0.0% 126 Ostrich 2 507.1 0.0% 127 Goats 2 1093.5 0.0% 128 Farming with animals, unspecified (ie where no 13 4992.6 0.0% other details are available) 129 Other animal farming: production of animal 9 2478.7 0.0% products nec. 141 Forestry and related services 186 55133.3 0.2% 142 Logging and related services 5 2017.5 0.0% 151 Ocean and coastal fishing 5 392.6 0.0% 152 Rivers and dams (ie. Inland fishing) 10 1381.9 0.0% 153 Fish hatcheries and fish farms 6 1020.8 0.0% 160 Growing of crops combined with farming of 67 20542.1 0.1% animals (mixed farming) 171 Animal boarding activities without health care 6 2665.0 0.0% 172 Pest control in connection with agriculture 2 209.5 0.0% 173 Farm development, orchards and field 5 1987.2 0.0% preparation 174 Providing agricultural machinery with drivers and 1 271.2 0.0% crew 175 Harvesting and related activities 35 11347.5 0.0% 176 Landscaping gardening and maintenance 17 7063.3 0.0% 181 Game propagation 1 278.7 0.0% 182 Hunting and trapping, including related services 1 310.6 0.0% 183 Game breeding 2 429.2 0.0% 190 Farming, unspecified 59 18102.0 0.1%

- 48 - File : LFS16WORKER_092007_F1 # Q315Indu: Industry activity of last job

Value Label Cases Weighted Percentage (Weighted) 210 Mining of coal and lignite 67 24209.4 0.1% 230 Mining of gold and uranium ore 256 113611.0 0.3% 240 Mining of metal ores 1 75.2 0.0% 241 Mining of iron ore 20 3355.8 0.0% 242 Mining of non-ferrous metal ores 126 46849.8 0.1% 251 Stone quarrying, clay and sandpits 4 886.5 0.0% 252 Mining of diamonds (including alluvial 61 12174.2 0.0% diamonds) 253 Mining and quarrying n.e.c. 54 16908.7 0.1% 290 Service activities incidental to mining of minerals 1 55.7 0.0% 301 Production, processing and preservation of meat, 130 38703.5 0.1% fish, fruit, vegetables, oils and fats 302 Manufacture of dairy products 30 12740.9 0.0% 303 Manufacture of grain mill products, starches and 18 6843.1 0.0% starch products and prepared animal feeds 304 Manufacture of other food products 99 43266.2 0.1% 305 Manufacture of beverages 46 16301.0 0.0% 306 Manufacture of tobacco products 4 2255.1 0.0% 310 Manufacture of textiles, clothing and leather 1 236.9 0.0% goods 311 Spinning, weaving and finishing of textiles 34 13173.5 0.0% 312 Manufacture of other textiles 58 25469.4 0.1% 313 Manufacture of knitted and crocheted fabrics and 34 16848.8 0.1% articles 314 Manufacture of wearing apparel, except fur 202 130082.3 0.4% apparel 315 Dressing and dyeing of fur; manufacture of 4 2023.7 0.0% articles of fur 316 Tanning and dressing of leather; manufacture of 5 5623.5 0.0% luggage, handbag, saddlery and harness 317 Manufacture of footwear 48 21736.3 0.1% 321 Sawmilling and planing of wood 11 3290.6 0.0% 322 Manufacture of products of wood, cork, straw 88 45422.9 0.1% and plaiting materials 323 Manufacture of paper and paper products 40 22107.0 0.1% 324 Publishing 10 5914.8 0.0% 325 Printing and service activities related to printing 29 21785.4 0.1% 326 Reproduction of recorded media 2 540.7 0.0% 331 Manufacture of coke oven products 7 1905.0 0.0% 332 Petroleum refineries / synthesisers 21 7635.5 0.0% 333 Processing of nuclear fuel 5 2660.3 0.0% 334 Manufacture of basic chemicals 28 10273.5 0.0% 335 Manufacture of other chemical products 46 32664.8 0.1% 337 Manufacture of rubber products 21 8914.7 0.0% 338 Manufacture of plastic products 36 16490.1 0.1% 341 Manufacture of glass and glass products 18 9200.8 0.0%

- 49 - File : LFS16WORKER_092007_F1 # Q315Indu: Industry activity of last job

Value Label Cases Weighted Percentage (Weighted) 342 Manufacture of non-metallic mineral products 125 49556.7 0.2% n.e.c 351 Manufacture of basic iron and steel 118 68345.0 0.2% 352 Manufacture of basic precious and non-ferrous 5 5894.5 0.0% metals 353 Casting of metals 14 4046.0 0.0% 354 Manufacture of structural metal products, tanks, 54 37437.7 0.1% reservoirs and steam generators 355 Manufacture of other fabricated metal products; 91 46178.3 0.1% metalwork service activities 356 Manufacture of general purpose machinery 14 15043.4 0.0% 357 Manufacture of special purpose machinery 48 27798.8 0.1% 358 Manufacture of household appliances n.e.c. 34 15339.3 0.0% 359 Manufacture of office, accounting and computing 12 7502.4 0.0% machinery 362 Manufacture of electricity distribution and 15 6829.7 0.0% control apparatus 364 Manufacture of accumulators, primary cells and 5 3420.9 0.0% primary batteries 365 Manufacture of electric lamps and lighting 7 4899.7 0.0% equipment 366 Manufacture of other electrical equipment n.e.c. 10 3817.7 0.0% 372 Manufacture of television and radio transmitters 7 7666.2 0.0% and apparatus for line telephony and line telegraphy 373 Manufacture of television and radio receivers, 2 3317.7 0.0% sound or video recording or reproducing apparatus and asso-cia-ted goods 374 Manufacture of medical appliances and 12 6219.7 0.0% instruments and appliances for measuring, checking, testing, navigating and for other purposes, except optical instruments 375 Manufacture of optical instruments and 2 852.8 0.0% photographic equipment 381 Manufacture of motor vehicles 34 19420.6 0.1% 382 Manufacture of bodies (coachwork) for motor 5 1783.8 0.0% vehicles; manufacture of trailers and semi-trailers 383 Manufacture of parts and accessories for motor 50 21200.9 0.1% vehicles and their engines 384 Building and repairing of ships and boats 4 1591.4 0.0% 386 Manufacture of aircraft and spacecraft 1 1610.3 0.0% 387 Manufacture of transport equipment n.e.c. 6 2834.7 0.0% 391 Manufacture of furniture 53 27880.9 0.1% 392 Manufacturing n.e.c. 33 16865.9 0.1% 395 Recycling n.e.c. 16 10264.6 0.0% 411 Production, collection and distribution of 58 32950.7 0.1% electricity 412 Manufacture of gas; distribution of gaseous fuels 5 4423.6 0.0% through mains 413 Steam and hot water supply 2 929.6 0.0%

- 50 - File : LFS16WORKER_092007_F1 # Q315Indu: Industry activity of last job

Value Label Cases Weighted Percentage (Weighted) 420 Collection, purification and distribution of water 22 8459.8 0.0% 502 Building of complete constructions or parts 1035 408136.9 1.2% thereof; civil engineering 503 Building installation 87 52983.6 0.2% 504 Building completion 94 34937.5 0.1% 611 Wholesale trade on a fee or contract basis 21 7677.5 0.0% 612 Wholesale trade in agricultural raw materials, 34 14582.3 0.0% livestock, food, beverages and tobacco 613 Wholesale trade in household goods 12 3806.9 0.0% 614 Wholesale trade in non-agricultural intermediate 12 5636.9 0.0% products, waste and scrap 615 Wholesale trade in machine-ry, equipment and 1 938.3 0.0% supplies 619 Other wholesale trade 7 1719.9 0.0% 621 Non-specialised retail trade in stores 403 193291.1 0.6% 622 Retail trade in food, beverages and tobacco in 440 179549.4 0.5% specialised stores 623 Other retail trade in new goods in specialised 666 320515.0 1.0% stores 625 Retail trade not in stores 233 98058.1 0.3% 626 Repair of personal and house-hold goods 43 19931.1 0.1% 631 Sale of motor vehicles 44 23911.4 0.1% 632 Maintenance and repair of motor vehicles 102 49433.3 0.2% 633 Sale of motor vehicle parts and accessories 9 2639.4 0.0% 634 Sale, maintenance and repair of motor cycles and 7 2355.0 0.0% related parts and accessories 635 Retail sale of automotive fuel 124 49373.6 0.2% 640 Hotels and restaurants 2 445.6 0.0% 641 Hotels, camping sites and other provision of short 201 74771.9 0.2% stay accommodation 642 Restaurants, bars and canteens 354 160534.6 0.5% 643 Shebeen 16 5179.7 0.0% 711 Railway transport 192 59012.0 0.2% 712 Other land transport 181 97360.5 0.3% 720 Water transport 1 304.0 0.0% 721 Sea and coastal water transport 6 2867.1 0.0% 722 Inland water transport 10 8262.4 0.0% 730 Air transport 8 6444.3 0.0% 741 Supporting and auxiliary transport activities; 42 23316.4 0.1% activities of travel agencies 750 Post and telecommunication 1 459.2 0.0% 751 Postal and related courier activities 29 13441.5 0.0% 752 Telecommunication 82 38802.6 0.1% 811 Monetary intermediation 117 56523.3 0.2% 818 Cash loans 6 2986.1 0.0% 819 Other financial intermediation n.e.c. 27 13103.6 0.0%

- 51 - File : LFS16WORKER_092007_F1 # Q315Indu: Industry activity of last job

Value Label Cases Weighted Percentage (Weighted) 821 Insurance and pension funding, except 28 16305.4 0.0% compulsory social security 831 Activities auxiliary to financial intermediation, 9 5615.5 0.0% except insurance and pension funding 841 Real estate activities with own or leased property 17 23281.3 0.1% 842 Real estate activities on a fee or contract basis 11 7714.0 0.0% 852 Renting of other machinery and equipment 1 701.3 0.0% 862 Software consultancy and supply 4 2417.9 0.0% 863 Data processing 2 1222.6 0.0% 864 Data base activities 2 908.9 0.0% 869 Other computer related activities 3 3427.0 0.0% 871 Research and experimental development on 12 24096.5 0.1% natural sciences and engineering 881 Legal, accounting, bookkeeping and auditing 48 19031.5 0.1% activities; tax consultancy; market research and public opinion research; business and management consultancy 882 Architectural, engineering and other technical 13 7008.9 0.0% activities 883 Advertising 13 6785.4 0.0% 888 Not applicable 53834 25612956.3 78.3% 889 Business activities n.e.c. 419 244710.2 0.7% 911 Central government activi-ties 139 68843.1 0.2% 912 Regional services council activities 1 481.7 0.0% 913 Local authority activities 253 91843.2 0.3% 914 Provincial administrations 6 1440.6 0.0% 915 S A Defence Force 56 55458.2 0.2% 916 S A Police Service 71 35162.1 0.1% 917 Correctional service 17 4812.0 0.0% 920 Education 507 229037.9 0.7% 930 Health and social work 2 434.6 0.0% 931 Human health activities 381 188799.6 0.6% 932 Veterinary activities 2 744.1 0.0% 933 Social work activities 125 49762.2 0.2% 940 Other community, social and personal service 25 13463.9 0.0% activities 951 Activities of business, employers and 27 15836.8 0.0% professional organisations 952 Activities of trade unions 1 359.7 0.0% 959 Activities of other membership organisations 34 21794.0 0.1% 961 Motion picture, radio, television and other 6 2093.0 0.0% entertainment activities 962 News agency activities 8 3818.9 0.0% 963 Library, archives, museums and other cultural 28 7516.0 0.0% activities 964 Sporting and other recreational activities 33 14715.8 0.0% 990 Other service activities 104 57920.1 0.2%

- 52 - File : LFS16WORKER_092007_F1 # Q315Indu: Industry activity of last job

Value Label Cases Weighted Percentage (Weighted) 999 Unspecified 243 143473.3 0.4% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q41Occup: Kind of work done in main job

Information [Type= discrete] [Format=numeric] [Range= 1110-9999] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were economically active in the seven days prior to the interview.

Literal question What kind of work did …… do in his/her main job during the last seven days (or usually does, even if he/she was absent in the last seven days)?

Notes This question is applicable to household members who have been performing certain economic activities in the seven days prior to the interview. It is important that the main tasks should be in English as the occupational codes are only in that language. The instruction to the enumerator is to ask the respondent the main tasks or duties done or usually done in his/ her job given in (Q 4.1.a). Questions (4.1.a) and (4.1.b) were written-in. The responses from both questions were used to determine the occupation. The occupation was coded to four digits on the basis of the International Standard Classification of Occupations (ISCO 88) (see elsewhere in documentation for codes).

Value Label Cases Weighted Percentage (Weighted) 1110 Legislators 11 2990.4 0.0% 1120 Senior government officers 114 100715.0 0.3% 1130 Traditional chiefs and heads of villages 2 706.5 0.0% 1141 Senior officers of political party organisations 1 256.4 0.0% 1143 Senior officers of humanitarian and other special- 2 577.8 0.0% interest organisations 1210 Directors and chief executives 19 14365.9 0.0% 1211 Rectors/principals of universities/colleges 2 2077.2 0.0% 1221 Production and operations managers/department 38 9673.3 0.0% managers in agriculture; hunting; forestry; fishing and mining 1222 Production and operations managers/department 16 10404.4 0.0% managers in manufacturing 1223 Production and operations managers/department 19 42975.1 0.1% managers in building and construction 1224 Production and operations managers/department 57 24808.1 0.1% managers in wholesale and retail trade 1225 Production and operations managers/department 27 16084.5 0.0% managers in hotels; restaurants and other catering and accommodation services 1226 Production and operations managers/ 27 18431.4 0.1% department managers in transport; storage and communications 1227 Production and operations managers/department 121 152150.9 0.5% managers in business services 1228 Production and operations managers/department 5 4840.0 0.0% managers in personal care; cleaning and related services 1229 Production and operations managers/department 48 23242.1 0.1% managers not elsewhere classified 1231 Finance and administration managers/department 92 81888.7 0.3% managers 1232 Personnel and industrial relations managers/ 56 54807.6 0.2% department managers - 53 - File : LFS16WORKER_092007_F1 # Q41Occup: Kind of work done in main job

Value Label Cases Weighted Percentage (Weighted) 1233 Sales and marketing managers/department 56 40835.5 0.1% managers 1234 Advertising and public relations managers/ 4 6036.1 0.0% department managers 1235 Supply and distribution managers/department 15 16892.8 0.1% managers 1236 Computing services managers/department 8 6322.6 0.0% managers 1237 Research and development managers/department 12 8742.2 0.0% managers 1239 Other managers/department managers not 39 68757.2 0.2% elsewhere classified 1311 General managers in agriculture; hunting; 61 13415.4 0.0% forestry and fishing 1312 General managers in manufacturing 15 13630.6 0.0% 1313 General managers in construction 39 17840.7 0.1% 1314 General managers in wholesale and retail trade 209 110389.6 0.3% 1315 General managers of hotels; restaurants and other 92 50130.0 0.2% catering or accommodation services 1316 General managers in transport; storage and 119 55826.2 0.2% communication 1317 General managers of business services 109 76243.3 0.2% 1318 General managers in personal care; cleaning and 7 4855.3 0.0% related services 1390 General managers not elsewhere classified 9 4595.0 0.0% 2112 Meteorologists 1 198.3 0.0% 2113 Chemists 4 1515.2 0.0% 2114 Geologists and geophysicists 2 653.8 0.0% 2122 Statisticians 3 747.8 0.0% 2131 Computer systems designers and analysts 15 21302.1 0.1% 2132 Computer programmers 15 12796.3 0.0% 2139 Computing professionals not elsewhere classified 4 4812.1 0.0% 2141 Architects; town and traffic planners 21 43386.3 0.1% 2142 Civil engineers 25 29721.5 0.1% 2143 Electrical engineers 17 14893.3 0.0% 2144 Electronics and telecommunications engineers 1 234.7 0.0% 2145 Mechanical engineers 11 9806.3 0.0% 2146 Chemical engineers 8 6476.5 0.0% 2147 Mining engineers; metallurgists and related 2 2319.9 0.0% professionals 2148 Cartographers and surveyors 15 12475.8 0.0% 2149 Architects; engineers and related professionals 3 1733.2 0.0% not elsewhere classified 2159 Physical sciences technologists 1 405.4 0.0% 2190 Physical; mathematical and engineering science 2 793.7 0.0% professionals not elsewhere classified 2211 Biologists; botanists; zoologists and related 7 2035.0 0.0% professionals

- 54 - File : LFS16WORKER_092007_F1 # Q41Occup: Kind of work done in main job

Value Label Cases Weighted Percentage (Weighted) 2213 Agronomists; food scientists and related 13 17579.4 0.1% professionals 2221 Medical professions 54 47662.6 0.1% 2222 Dentists 2 400.5 0.0% 2223 Veterinarians 2 1164.1 0.0% 2224 Pharmacists 11 5418.5 0.0% 2229 Health professionals (except nurses) not 5 2236.9 0.0% elsewhere classified 2230 Nursing and midwifery professionals 73 30240.5 0.1% 2310 Technikon; teacher training; technical and other 77 44464.2 0.1% colleges; university and other higher education institutions teaching professionals 2320 Secondary education teaching professionals 188 111954.3 0.3% 2331 Primary education teaching professionals 285 130382.6 0.4% 2332 Pre-primary education teaching professionals 16 5526.3 0.0% 2340 Special education teaching professionals 10 5960.2 0.0% 2351 Education methods specialists 14 6504.7 0.0% 2352 School inspectors 4 840.4 0.0% 2411 Accountants and related accounting occupations 78 119323.5 0.4% 2412 Personnel and careers professionals 48 39105.9 0.1% 2419 Business professionals not elsewhere classified 133 180312.9 0.6% 2421 Advocates; attorneys and related occupations 38 32919.1 0.1% 2422 Judges and magistrates 6 2188.1 0.0% 2429 Legal professionals not elsewhere classified 8 4376.2 0.0% 2431 Archivists and curators 1 66.5 0.0% 2432 Librarians and related information professionals 16 6620.0 0.0% 2441 Economists 1 1164.6 0.0% 2443 Philosophers; historians and political scientists 1 2745.6 0.0% 2444 Philologists; translators and interpreters 5 3934.8 0.0% 2445 Psychologists 3 7119.2 0.0% 2446 Social work professionals 20 12315.2 0.0% 2451 Authors; journalists and other writers 10 7642.2 0.0% 2452 Sculptors; painters and related artists 7 8695.7 0.0% 2453 Composers; musicians and singers 4 4177.0 0.0% 2460 Religious professionals 35 13273.0 0.0% 2490 Other professionals not elsewhere classified 1 2848.3 0.0% 3111 Natural science technicians 21 40202.5 0.1% 3112 Civil engineering technicians 11 5833.6 0.0% 3113 Electrical engineering technicians 40 33218.5 0.1% 3114 Electronics and telecommunications engineering 57 39945.5 0.1% technicians 3115 Mechanical engineering technicians 27 13676.6 0.0% 3116 Chemical engineering technicians 2 821.1 0.0% 3117 Mining and metallurgical technicians 2 898.1 0.0% 3118 Draughtspersons 3 1376.5 0.0%

- 55 - File : LFS16WORKER_092007_F1 # Q41Occup: Kind of work done in main job

Value Label Cases Weighted Percentage (Weighted) 3119 Physical and engineering science technicians not 13 15550.3 0.0% elsewhere classified 3121 Computer assistants 13 12187.8 0.0% 3122 Computer equipment operators 1 74.5 0.0% 3131 Photographers and image and sound recording 29 17467.0 0.1% equipment operators 3132 Broadcasting and telecommunications equipment 2 1272.0 0.0% operators 3143 Aircraft pilots and related associate professionals 1 444.6 0.0% 3144 Air traffic controllers 6 2843.6 0.0% 3145 Air traffic safety technicians 2 499.4 0.0% 3151 Building and fire inspectors 3 556.2 0.0% 3152 Safety; health and quality inspectors 101 61629.7 0.2% 3211 Life science technicians 2 620.7 0.0% 3212 Agronomy and forestry technicians 6 1633.0 0.0% 3213 Farming and forestry advisers/consultants 3 414.0 0.0% 3221 Medical assistants 4 1754.4 0.0% 3222 Sanitarians 3 1129.9 0.0% 3223 Dieticians and nutritionists 2 365.7 0.0% 3224 Optometrists and opticians 3 2482.0 0.0% 3225 Dental assistants 10 5271.0 0.0% 3226 Physiotherapists and related associate 15 11980.5 0.0% professionals 3227 Veterinary assistants 1 429.4 0.0% 3228 Pharmaceutical assistants 19 11721.4 0.0% 3229 Modern health associate professionals (except 15 9377.2 0.0% nursing) not elsewhere classified 3231 Nursing associate professionals 273 125981.9 0.4% 3232 Midwifery associate professionals 5 2595.0 0.0% 3241 Traditional medicine practitioners 97 42624.9 0.1% 3242 Faith healers 1 122.0 0.0% 3291 Life science and health associate professionals 2 534.8 0.0% not 3310 Primary education teaching associate 427 230153.5 0.7% professionals 3320 Pre-primary education teaching associate 82 32482.8 0.1% professionals 3330 Special education teaching associate 16 6401.6 0.0% professionals 3340 Other teaching associate professionals 9 8221.7 0.0% 3391 Teaching associate professionals not elsewhere 240 89337.8 0.3% classified 3411 Securities and finance dealers and brokers 33 41579.5 0.1% 3412 Insurance representatives 35 17179.1 0.1% 3413 Estate agents 37 46688.1 0.1% 3414 Travel consultants and organisers 4 1651.2 0.0% 3415 Technical and commercial sales representatives 97 80326.5 0.2% - 56 - File : LFS16WORKER_092007_F1 # Q41Occup: Kind of work done in main job

Value Label Cases Weighted Percentage (Weighted) 3416 Buyers 88 73516.4 0.2% 3421 Trade brokers 4 8231.2 0.0% 3423 Employment agents and labour contractors 8 2610.0 0.0% 3424 Statistical, mathematical and related associate 4 2044.3 0.0% professionals 3429 Business services agents and trade brokers not 16 9575.1 0.0% elsewhere classified 3431 Administrative secretaries and related associate 12 5549.8 0.0% professionals 3432 Legal and related business associate professionals 21 64630.5 0.2% 3433 Bookkeepers 40 26334.5 0.1% 3442 Government tax and excise officers 1 363.6 0.0% 3443 Government social benefits officers 2 1174.7 0.0% 3444 Government licensing officers 7 6056.9 0.0% 3449 Customs; tax and related government associate 14 10490.8 0.0% professionals not elsewhere classified 3450 Police inspectors and detectives 64 36194.5 0.1% 3460 Social work associate professionals 37 22325.8 0.1% 3471 Decorators and commercial designers 48 45302.5 0.1% 3472 Radio; television and other announcers 2 1158.3 0.0% 3473 Street; nightclub and related musicians; singers 3 1513.6 0.0% and dancers 3474 Clowns; magicians; acrobats and related associate 1 96.4 0.0% professionals 3475 Athletes; sportspersons and related associate 15 15324.9 0.0% professionals 3479 Art; entertainment and sport associate 14 7411.8 0.0% professionals not elsewhere classified 3480 Religious associate professionals 11 3872.7 0.0% 4111 Stenographers and typists 21 7771.2 0.0% 4112 Word-processor and related operators 1 71.6 0.0% 4113 Data entry operators 42 29443.9 0.1% 4114 Calculating-machine operators 3 861.7 0.0% 4115 Secretaries 131 109508.1 0.3% 4121 Accounting and bookkeeping clerks 235 154295.8 0.5% 4122 Statistical finance clerks 70 44297.3 0.1% 4131 Stock clerks 221 114643.0 0.4% 4132 Production clerks 19 7751.6 0.0% 4133 Transport clerks 32 20367.9 0.1% 4141 Library and filing clerks 233 102532.2 0.3% 4142 Mail carriers and sorting clerks 32 15882.9 0.0% 4143 Coding; proof-reading and related clerks 19 9901.5 0.0% 4144 Scribes and related workers 2 1865.8 0.0% 4190 Other office clerks and clerks not elsewhere 349 188156.7 0.6% classified (except customer services clerks) 4211 Cashiers and ticket clerks 459 225611.3 0.7%

- 57 - File : LFS16WORKER_092007_F1 # Q41Occup: Kind of work done in main job

Value Label Cases Weighted Percentage (Weighted) 4212 Tellers and other counter clerks 79 44005.0 0.1% 4213 Bookmakers and croupiers 4 2653.3 0.0% 4215 Debt-collectors and related workers 15 6467.5 0.0% 4221 Travel agency and related clerks 4 1479.0 0.0% 4222 Receptionists and information clerks 148 94835.9 0.3% 4223 Telephone switchboard operators 30 18094.3 0.1% 5111 Travel attendants and travel stewards 4 8487.5 0.0% 5112 Transport conductors and transport occupations 13 5217.9 0.0% not elsewhere classified 5113 Travel guides 14 8608.8 0.0% 5121 Housekeepers and related workers 46 21514.3 0.1% 5122 Cooks 312 136330.7 0.4% 5123 Waiters; waitresses and bartenders 149 111587.6 0.3% 5124 Operators; tavern; shebeen 143 66224.4 0.2% 5131 Child-care workers 84 78702.8 0.2% 5132 Institution-based personal care workers 82 32126.2 0.1% 5133 Home-based personal care workers 59 20865.2 0.1% 5139 Personal care and related workers not elsewhere 30 9686.1 0.0% classified 5141 Hairdressers; barbers; beauticians and related 115 70019.8 0.2% workers 5142 Companions and valets 2 1252.7 0.0% 5143 Undertakers and embalmers 13 8098.6 0.0% 5149 Other personal services workers not elsewhere 2 663.8 0.0% classified 5161 Fire-fighters 33 12337.6 0.0% 5162 Police officers; traffic officers 247 95176.2 0.3% 5163 Prison guards 94 33697.9 0.1% 5164 Armed forces 33 39773.0 0.1% 5169 Protective services workers not elsewhere 631 400302.7 1.2% classified 5220 Shop salespersons and demonstrators 607 324284.5 1.0% 5230 Stall and market salespersons 57 29471.5 0.1% 5231 Owner; spaza shop 286 109362.9 0.3% 6111 Field crop and vegetable growers 124 41739.6 0.1% 6112 Tree and shrub crop growers 63 12928.3 0.0% 6113 Gardeners; horticultural and nursery growers 55 23460.3 0.1% 6114 Mixed-crop growers 3 279.4 0.0% 6121 Dairy and livestock producers 147 31383.1 0.1% 6122 Poultry producers 19 5343.5 0.0% 6123 Apiarists and sericulturists 3 403.7 0.0% 6124 Mixed animal producers 3 288.0 0.0% 6129 Market-oriented animal producers and related 8 3948.3 0.0% workers not elsewhere classified (farm owners/ owners) 6130 Market-oriented crop and animal producers 14 7470.7 0.0% - 58 - File : LFS16WORKER_092007_F1 # Q41Occup: Kind of work done in main job

Value Label Cases Weighted Percentage (Weighted) 6141 Forestry workers and loggers 38 12240.6 0.0% 6142 Charcoal burners and related workers 3 1115.1 0.0% 6152 Inland and coastal waters fishery workers 20 5133.3 0.0% 6153 Deep-sea fishery workers 3 1009.6 0.0% 6154 Hunters and trappers 4 662.0 0.0% 6210 Subsistence agricultural and fishery workers 88 32335.8 0.1% 6211 Subsistence farmers 662 204150.8 0.6% 7111 Miners and quarry workers 159 84180.4 0.3% 7112 Shot-firers and blasters 6 8823.0 0.0% 7113 Stone splitters; cutters and carvers 11 6299.9 0.0% 7114 Diamond divers 2 171.1 0.0% 7121 Builders; traditional materials 32 9740.7 0.0% 7122 Bricklayers and stonemasons 562 268811.4 0.8% 7123 Concrete placers; concrete finishers and related 33 16399.0 0.1% workers 7124 Carpenters and joiners 187 97899.0 0.3% 7129 Building frame and related workers not elsewhere 104 47784.3 0.1% classified 7131 Roofers 21 12246.6 0.0% 7132 Floor layers and tile setters 39 25191.5 0.1% 7133 Plasterers 3 1439.2 0.0% 7134 Insulation workers 1 492.6 0.0% 7135 Glaziers 1 94.3 0.0% 7136 Plumbers and pipe fitters 182 105153.7 0.3% 7137 Building and related electricians 165 107216.3 0.3% 7141 Painters and related workers 118 65402.9 0.2% 7142 Varnishers and related painters 25 18117.5 0.1% 7143 Building structure cleaners 19 8083.2 0.0% 7190 Extraction and building trades workers not 3 1295.6 0.0% elsewhere classified 7211 Metal moulders and coremakers 2 106.1 0.0% 7212 Welders and flamecutters 189 115427.4 0.4% 7213 Sheet-metal workers 89 45221.4 0.1% 7214 Structural-metal preparers and erectors 43 20785.6 0.1% 7215 Riggers and cable splicers 3 3597.3 0.0% 7221 Blacksmiths; hammersmiths and forging-press 2 2058.9 0.0% workers 7222 Tool-makers and related workers 10 5470.9 0.0% 7223 Machine-tool setters and setter-operators 7 1762.4 0.0% 7224 Metal wheel-grinders; polishers and tool 15 9351.2 0.0% sharpeners 7231 Motor vehicle mechanics and fitters 426 250216.8 0.8% 7232 Aircraft engine mechanics and fitters 3 1576.0 0.0% 7233 Agricultural or industrial machinery mechanics 51 39499.7 0.1% and fitters

- 59 - File : LFS16WORKER_092007_F1 # Q41Occup: Kind of work done in main job

Value Label Cases Weighted Percentage (Weighted) 7241 Electrical mechanics and fitters 59 44754.6 0.1% 7242 Electronics fitters 1 169.2 0.0% 7243 Electronics mechanics and servicers 32 32938.3 0.1% 7244 Telegraph and telephone installers and servicers 20 11004.9 0.0% 7245 Electrical line installers; repairers and cable 21 8209.8 0.0% jointers 7290 Metal; machinery and related trades workers not 14 9647.0 0.0% elsewhere classified 7311 Precision-instrument/instrument makers and 7 2604.1 0.0% repairers 7312 Musical instrument makers and tuners 1 525.1 0.0% 7313 Jewellery and precious-metal workers 10 2773.4 0.0% 7321 Abrasive wheel formers; potters and related 106 37775.0 0.1% workers 7322 Glass-makers; cutters; grinders and finishers 17 8719.8 0.0% 7323 Glass engravers and etchers 1 943.5 0.0% 7324 Glass; ceramics and related decorative painters 5 7492.7 0.0% 7331 Handicraft workers in wood and related materials 13 4728.0 0.0% 7332 Handicraft workers in textile; leather and related 23 15287.3 0.0% materials 7341 Compositors; typesetters and related workers 24 33187.3 0.1% 7343 Printing engravers and etchers 5 1494.6 0.0% 7411 Butchers; fishmongers and related food preparers 111 47234.2 0.1% 7412 Millers; bakers; pastry-cooks and confectionery 99 52884.0 0.2% makers 7413 Dairy products makers 2 562.2 0.0% 7414 Fruit; vegetable and related products preservers 1 73.8 0.0% 7415 Food and beverage tasters and graders 2 1456.3 0.0% 7416 Tobacco preparers and tobacco products makers 5 658.0 0.0% 7421 Wood treaters 11 2860.9 0.0% 7422 Cabinetmakers and related workers 24 10050.3 0.0% 7423 Woodworking-machine setters and setter- 2 1038.6 0.0% operators 7424 Basketry weavers; brush makers and related 20 6823.5 0.0% workers 7431 Fibre preparers 1 764.8 0.0% 7432 Weavers; knitters and related workers 42 20347.1 0.1% 7433 Tailors; dressmakers and hatters 122 62323.3 0.2% 7434 Furriers and related workers 1 35.1 0.0% 7435 Textile; leather and related pattern-makers and 7 4415.0 0.0% cutters 7436 Sewers; embroiderers and related workers 79 38031.1 0.1% 7437 Upholsterers and related workers 12 6612.3 0.0% 7441 Pelt dressers; tanners and fellmongers 1 1415.0 0.0% 7442 Shoemakers and related workers 24 10211.9 0.0% 7490 Other craft and related trades workers not 17 6437.5 0.0% elsewhere classified - 60 - File : LFS16WORKER_092007_F1 # Q41Occup: Kind of work done in main job

Value Label Cases Weighted Percentage (Weighted) 8111 Mining plant operators 74 38484.6 0.1% 8112 Mineral-ore and stone-processing plant operators 26 16110.5 0.0% 8113 Well drillers and borers and related workers 1 674.8 0.0% 8121 Ore and metal furnace operators 10 6039.9 0.0% 8122 Metal melters and casters and rolling-mill 4 1557.8 0.0% operators 8123 Metal heat-treating plant operators 1 561.4 0.0% 8124 Metal drawers and extruders 1 122.4 0.0% 8131 Glass and ceramics kiln and related machine 15 12581.8 0.0% operators 8139 Glass; ceramics and related plant operators not 1 318.1 0.0% elsewhere classified 8141 Wood-processing plant operators 35 18402.6 0.1% 8142 Paper-pulp plant operators 6 1310.9 0.0% 8143 Papermaking-plant operators 3 1962.8 0.0% 8151 Crushing; grinding and chemical-mixing 20 16954.3 0.1% machinery operators 8152 Chemical-heat-treating plant operators 7 2330.8 0.0% 8153 Chemical-filtering and separating-equipment 4 2205.1 0.0% operators 8154 Chemical-still and reactor operators (except 3 1860.4 0.0% petroleum and natural gas) 8155 Petroleum and natural-gas-refining plant 2 1135.7 0.0% operators 8159 Chemical-processing plant operators not 19 10271.8 0.0% elsewhere classified 8161 Power-production plant operators 4 2382.3 0.0% 8162 Steam-engine and boiler operators 11 5044.1 0.0% 8163 Incinerator; water-treatment and related plant 31 19445.5 0.1% operators 8171 Automated assembly-line operators 3 2177.7 0.0% 8211 Machine-tool operators 138 75021.4 0.2% 8212 Cement and other mineral products machine- 19 7120.7 0.0% operators 8221 Pharmaceutical and toiletry-products machine 1 439.8 0.0% operators 8222 Ammunition and explosive-products machine 5 3111.5 0.0% operators 8223 Metal finishing; plating and coating machine 4 1321.6 0.0% operators 8224 Photographic products machine operators 3 5338.9 0.0% 8229 Chemical products machine operators not 6 1950.8 0.0% elsewhere classified 8231 Rubber products machine operators 19 8271.0 0.0% 8232 Plastic products machine operators 24 15878.0 0.0% 8240 Wood products machine operators 19 5323.6 0.0% 8251 Printing machine operators 15 13398.0 0.0% 8253 Paper-products machine operators 14 7209.2 0.0%

- 61 - File : LFS16WORKER_092007_F1 # Q41Occup: Kind of work done in main job

Value Label Cases Weighted Percentage (Weighted) 8261 Fibre-preparing; spinning and winding-machine 8 3627.6 0.0% operators 8262 Weaving and knitting machine operators 23 14730.6 0.0% 8263 Sewing-machine operators 152 71540.4 0.2% 8264 Bleaching; dyeing and cleaning-machine 13 6823.4 0.0% operators 8265 Fur and leather-preparing machine operators 6 3121.7 0.0% 8266 Shoemaking and related machine operators 14 6660.5 0.0% 8269 Textile; fur and leather products machine 9 3234.6 0.0% operators not elsewhere classified 8271 Meat and fish-processing machine operators 17 8598.5 0.0% 8272 Dairy products machine operators 8 1910.5 0.0% 8273 Grain and spice-milling machine operators 8 3441.1 0.0% 8274 Baked goods; cereal and chocolate products 18 10951.6 0.0% machine operators 8275 Fruit; vegetable and nut-processing machine 22 5717.2 0.0% operators 8276 Sugar production machine operators 5 1375.1 0.0% 8278 Brewers; wine and other beverage machine 12 6225.1 0.0% operators 8279 Tobacco production machine operators 5 3940.5 0.0% 8281 Mechanical machinery assemblers 37 19201.0 0.1% 8282 Electrical equipment assemblers 7 2567.1 0.0% 8283 Electronic equipment assemblers 3 2728.6 0.0% 8284 Metal; rubber and plastic-products assemblers 6 4055.8 0.0% 8285 Wood and related products assemblers 6 1566.1 0.0% 8286 Paperboard; textile and related products 1 688.5 0.0% assemblers 8290 Other machine operators and assemblers not 23 10495.0 0.0% elsewhere classified 8311 Locomotive engine drivers 65 36549.7 0.1% 8312 Railway brakers; signallers; shunters and related 2 2486.4 0.0% workers 8320 Driver; taxi 42 53781.3 0.2% 8321 Motor cycle drivers 4 3083.2 0.0% 8322 Car; taxi and van drivers 310 159687.1 0.5% 8323 Bus and tram drivers 58 30723.3 0.1% 8324 Heavy truck and lorry drivers 553 266258.9 0.8% 8325 6 4138.7 0.0% 8331 Motorised farm and forestry plant operators 183 61973.7 0.2% 8332 Earth-moving and related plant operators 31 9787.6 0.0% 8333 Crane; hoist and related plant operators 104 54564.2 0.2% 8334 Lifting-truck operators 78 33628.9 0.1% 8340 Ships' deck crews and related workers 2 884.4 0.0% 8888 Not applicable 45322 19121853.6 58.5% 9111 Street food vendors and related workers 724 373587.9 1.1%

- 62 - File : LFS16WORKER_092007_F1 # Q41Occup: Kind of work done in main job

Value Label Cases Weighted Percentage (Weighted) 9112 Street vendors; non-food products 418 193128.0 0.6% 9120 Shoe cleaning and other elementary street 35 15651.6 0.0% services occupations 9131 Domestic helpers and cleaners 2092 1030504.2 3.2% 9132 Helpers and cleaners in offices; hotels and other 812 386952.4 1.2% establishments 9133 Hand-launderers and pressers 26 11890.6 0.0% 9141 Building caretakers 51 20959.3 0.1% 9142 Vehicle; window and related cleaners 16 8157.3 0.0% 9151 Messengers; package and luggage porters and 61 32885.4 0.1% deliverers 9152 Doorkeepers; watchpersons and related workers 15 7957.3 0.0% 9153 Vending-machine money collectors; meter 20 12934.1 0.0% readers and related workers 9161 Garbage collectors 53 33647.4 0.1% 9162 Sweepers and related labourers 99 45194.0 0.1% 9190 Elementary sales and services occupations not 16 6293.7 0.0% elsewhere classified 9211 Farmhands and labourers 2477 725193.2 2.2% 9212 Forestry labourers 128 35657.2 0.1% 9213 Fishery; hunting and trapping labourers 16 2526.2 0.0% 9311 Mining and quarrying labourers 119 52590.6 0.2% 9312 Construction and maintenance labourers: roads; 639 277248.0 0.8% dams and similar constructions 9313 Building construction labourers 220 93408.2 0.3% 9321 Assembling labourers 14 8106.6 0.0% 9322 Hand packers and other manufacturing labourers 772 329424.5 1.0% 9331 Hand or pedal vehicle drivers 3 1375.2 0.0% 9332 Drivers of animal-drawn vehicles and machinery 3 1677.6 0.0% 9333 Freight handlers 104 66795.9 0.2% 9999 Occupations unspecified 105 53336.0 0.2% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q42Indus: Main industry activity

Information [Type= discrete] [Format=numeric] [Range= 10-999] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were economically active in the seven days prior to the interview.

Literal question What are the main goods and services produced at ……'s place of work? What are its main functions?

Notes This question is applicable to household members who have been performing certain economic activities in the seven days prior to the interview. It is important that the service or main goods are in English as the industry codes are only in this language. Although a person may have certain roles and responsibilities within the company she/he is working with, the enumerator is instructed to record the main goods or services produced by the company. Questions (4.2.a) and (4.2.b) were written-in. The responses to these two questions were used to determine the industry. The industry was coded to three digits on the basis of the International Standard Industrial Classification of all Economic Activities (ISIC) 1993 (see elsewhere in documentation for codes).

- 63 - File : LFS16WORKER_092007_F1 # Q42Indus: Main industry activity

Value Label Cases Weighted Percentage (Weighted) 10 Private households with employed persons 2506 1207323.6 3.7% 20 Exterritorial organisations 6 2093.8 0.0% 30 Representatives of foreign governments 2 2491.2 0.0% 111 Growing of grains (eg. maize, wheat, barley etc.), 229 62126.1 0.2% oil seeds (eg. sunflowers) and ground nuts (eg. peanuts) 112 Growing of vegetables 651 197049.0 0.6% 113 Growing of other horticultural specialities and 73 25771.3 0.1% nursery products 114 Growing of fruit 496 108059.5 0.3% 115 Growing of vineyards 318 41515.8 0.1% 116 Growing sugar cane 222 65761.2 0.2% 117 Growing of cotton 5 2115.6 0.0% 118 Growing of other crops (eg. Spices) / unspecified 41 14412.1 0.0% (where no other details are given) 121 Animals for meat, including breeding but 715 226802.1 0.7% excluding chicken, game or horses 122 Chickens, including breeding and slaughtering 138 48921.3 0.1% 123 Horses 14 4291.8 0.0% 124 Dairy farming, including milk etc. 80 25455.0 0.1% 125 Sheep 224 40554.2 0.1% 126 Ostrich 2 523.1 0.0% 127 Goats 42 10351.2 0.0% 128 Farming with animals, unspecified (ie where no 21 9889.5 0.0% other details are available) 129 Other animal farming: production of animal 17 5094.1 0.0% products nec. 140 Forestry, logging and related services 1 903.5 0.0% 141 Forestry and related services 235 65680.0 0.2% 142 Logging and related services 9 2980.4 0.0% 151 Ocean and coastal fishing 10 2395.2 0.0% 152 Rivers and dams (ie. Inland fishing) 18 5376.7 0.0% 153 Fish hatcheries and fish farms 14 3959.5 0.0% 160 Growing of crops combined with farming of 97 34564.7 0.1% animals (mixed farming) 171 Animal boarding activities without health care 7 4977.8 0.0% 172 Pest control in connection with agriculture 2 566.7 0.0% 173 Farm development, orchards and field 6 2517.7 0.0% preparation 175 Harvesting and related activities 48 23779.6 0.1% 176 Landscaping gardening and maintenance 40 25138.4 0.1% 181 Game propagation 2 378.9 0.0% 182 Hunting and trapping, including related services 5 1265.3 0.0% 183 Game breeding 6 9227.3 0.0% 190 Farming, unspecified 103 31424.8 0.1% 210 Mining of coal and lignite 114 52408.5 0.2%

- 64 - File : LFS16WORKER_092007_F1 # Q42Indus: Main industry activity

Value Label Cases Weighted Percentage (Weighted) 221 Extraction of crude petroleum and natural 5 1370.1 0.0% gas; service activities incidental to oil and gas extraction, excluding surveying 230 Mining of gold and uranium ore 353 181840.8 0.6% 240 Mining of metal ores 11 1377.0 0.0% 241 Mining of iron ore 44 9860.2 0.0% 242 Mining of non-ferrous metal ores 241 141206.7 0.4% 251 Stone quarrying, clay and sandpits 10 6166.2 0.0% 252 Mining of diamonds (including alluvial 58 15892.0 0.0% diamonds) 253 Mining and quarrying n.e.c. 68 21785.7 0.1% 290 Service activities incidental to mining of minerals 6 2563.0 0.0% 301 Production, processing and preservation of meat, 177 53138.2 0.2% fish, fruit, vegetables, oils and fats 302 Manufacture of dairy products 26 12733.6 0.0% 303 Manufacture of grain mill products, starches and 27 11907.4 0.0% starch products and prepared animal feeds 304 Manufacture of other food products 106 52527.1 0.2% 305 Manufacture of beverages 91 37886.3 0.1% 306 Manufacture of tobacco products 4 4021.9 0.0% 310 Manufacture of textiles, clothing and leather 4 1038.2 0.0% goods 311 Spinning, weaving and finishing of textiles 24 10996.5 0.0% 312 Manufacture of other textiles 76 39121.3 0.1% 313 Manufacture of knitted and crocheted fabrics and 20 8442.5 0.0% articles 314 Manufacture of wearing apparel, except fur 297 162901.0 0.5% apparel 316 Tanning and dressing of leather; manufacture of 6 1923.2 0.0% luggage, handbag, saddlery and harness 317 Manufacture of footwear 32 12411.2 0.0% 321 Sawmilling and planing of wood 19 6466.9 0.0% 322 Manufacture of products of wood, cork, straw 180 79740.2 0.2% and plaiting materials 323 Manufacture of paper and paper products 68 55040.5 0.2% 324 Publishing 15 25285.7 0.1% 325 Printing and service activities related to printing 56 76243.4 0.2% 326 Reproduction of recorded media 1 7025.2 0.0% 331 Manufacture of coke oven products 8 2305.8 0.0% 332 Petroleum refineries / synthesisers 57 32767.2 0.1% 333 Processing of nuclear fuel 3 1135.1 0.0% 334 Manufacture of basic chemicals 30 12411.6 0.0% 335 Manufacture of other chemical products 70 43012.5 0.1% 337 Manufacture of rubber products 37 13965.3 0.0% 338 Manufacture of plastic products 64 39156.8 0.1% 341 Manufacture of glass and glass products 29 21066.2 0.1%

- 65 - File : LFS16WORKER_092007_F1 # Q42Indus: Main industry activity

Value Label Cases Weighted Percentage (Weighted) 342 Manufacture of non-metallic mineral products 236 109951.1 0.3% n.e.c 351 Manufacture of basic iron and steel 186 114971.6 0.4% 352 Manufacture of basic precious and non-ferrous 6 2830.1 0.0% metals 353 Casting of metals 8 3883.1 0.0% 354 Manufacture of structural metal products, tanks, 103 65860.9 0.2% reservoirs and steam generators 355 Manufacture of other fabricated metal products; 177 93408.2 0.3% metalwork service activities 356 Manufacture of general purpose machinery 35 37811.3 0.1% 357 Manufacture of special purpose machinery 87 41478.4 0.1% 358 Manufacture of household appliances n.e.c. 66 33371.7 0.1% 359 Manufacture of office, accounting and computing 10 7423.5 0.0% machinery 361 Manufacture of electric motors, generators and 9 5828.4 0.0% transformers 362 Manufacture of electricity distribution and 9 10056.3 0.0% control apparatus 363 Manufacture of insulated wire and cable 3 1290.4 0.0% 364 Manufacture of accumulators, primary cells and 1 313.2 0.0% primary batteries 365 Manufacture of electric lamps and lighting 7 5101.1 0.0% equipment 366 Manufacture of other electrical equipment n.e.c. 28 13143.0 0.0% 371 Manufacture of electronic valves and tubes and 7 3573.6 0.0% other electronic components 372 Manufacture of television and radio transmitters 4 7337.8 0.0% and apparatus for line telephony and line telegraphy 373 Manufacture of television and radio receivers, 2 28793.7 0.1% sound or video recording or reproducing apparatus and asso-cia-ted goods 374 Manufacture of medical appliances and 33 18920.9 0.1% instruments and appliances for measuring, checking, testing, navigating and for other purposes, except optical instruments 381 Manufacture of motor vehicles 108 65247.5 0.2% 382 Manufacture of bodies (coachwork) for motor 16 8153.3 0.0% vehicles; manufacture of trailers and semi-trailers 383 Manufacture of parts and accessories for motor 124 84244.0 0.3% vehicles and their engines 384 Building and repairing of ships and boats 12 8137.1 0.0% 385 Manufacture of railway and tramway locomotives 9 4992.8 0.0% and rolling stock 386 Manufacture of aircraft and spacecraft 4 2287.8 0.0% 387 Manufacture of transport equipment n.e.c. 20 8154.5 0.0% 391 Manufacture of furniture 91 54580.6 0.2% 392 Manufacturing n.e.c. 68 94044.7 0.3% 395 Recycling n.e.c. 35 15701.8 0.0%

- 66 - File : LFS16WORKER_092007_F1 # Q42Indus: Main industry activity

Value Label Cases Weighted Percentage (Weighted) 411 Production, collection and distribution of 115 76554.6 0.2% electricity 412 Manufacture of gas; distribution of gaseous fuels 4 1140.8 0.0% through mains 413 Steam and hot water supply 1 542.3 0.0% 420 Collection, purification and distribution of water 44 24192.8 0.1% 502 Building of complete constructions or parts 1688 846574.8 2.6% thereof; civil engineering 503 Building installation 188 133329.3 0.4% 504 Building completion 175 96423.4 0.3% 611 Wholesale trade on a fee or contract basis 38 23098.5 0.1% 612 Wholesale trade in agricultural raw materials, 50 24979.9 0.1% livestock, food, beverages and tobacco 613 Wholesale trade in household goods 22 10206.5 0.0% 614 Wholesale trade in non-agricultural intermediate 16 5650.0 0.0% products, waste and scrap 615 Wholesale trade in machine-ry, equipment and 4 817.9 0.0% supplies 619 Other wholesale trade 18 7555.2 0.0% 621 Non-specialised retail trade in stores 622 338255.3 1.0% 622 Retail trade in food, beverages and tobacco in 604 286915.9 0.9% specialised stores 623 Other retail trade in new goods in specialised 1049 661261.4 2.0% stores 624 Retail trade in second-hand goods in stores 5 12587.9 0.0% 625 Retail trade not in stores 1565 739500.9 2.3% 626 Repair of personal and house-hold goods 134 96967.5 0.3% 631 Sale of motor vehicles 122 64504.8 0.2% 632 Maintenance and repair of motor vehicles 322 165376.8 0.5% 633 Sale of motor vehicle parts and accessories 44 28978.2 0.1% 634 Sale, maintenance and repair of motor cycles and 31 14210.1 0.0% related parts and accessories 635 Retail sale of automotive fuel 207 91994.4 0.3% 641 Hotels, camping sites and other provision of short 315 122943.7 0.4% stay accommodation 642 Restaurants, bars and canteens 461 255653.0 0.8% 643 Shebeen 111 50783.4 0.2% 711 Railway transport 102 64307.4 0.2% 712 Other land transport 568 361948.5 1.1% 721 Sea and coastal water transport 4 1802.5 0.0% 722 Inland water transport 17 7495.3 0.0% 730 Air transport 11 13599.8 0.0% 741 Supporting and auxiliary transport activities; 87 71278.0 0.2% activities of travel agencies 750 Post and telecommunication 1 692.1 0.0% 751 Postal and related courier activities 41 22405.7 0.1% 752 Telecommunication 135 160809.3 0.5%

- 67 - File : LFS16WORKER_092007_F1 # Q42Indus: Main industry activity

Value Label Cases Weighted Percentage (Weighted) 811 Monetary intermediation 209 167534.7 0.5% 818 Cash loans 14 6739.8 0.0% 819 Other financial intermediation n.e.c. 60 61389.4 0.2% 821 Insurance and pension funding, except 68 60666.4 0.2% compulsory social security 831 Activities auxiliary to financial intermediation, 34 122132.7 0.4% except insurance and pension funding 841 Real estate activities with own or leased property 51 66831.8 0.2% 842 Real estate activities on a fee or contract basis 35 31788.4 0.1% 851 Renting of transport equipment 11 5280.4 0.0% 852 Renting of other machinery and equipment 18 9092.7 0.0% 853 Renting of personal and household goods n.e.c. 8 10554.2 0.0% 861 Hardware consultancy 12 8276.3 0.0% 862 Software consultancy and supply 34 40481.1 0.1% 864 Data base activities 4 1511.0 0.0% 865 Maintenance and repair of office, accounting and 1 1005.7 0.0% computing machinery 869 Other computer related activities 18 13561.9 0.0% 871 Research and experimental development on 34 50650.8 0.2% natural sciences and engineering 881 Legal, accounting, bookkeeping and auditing 194 141250.5 0.4% activities; tax consultancy; market research and public opinion research; business and management consultancy 882 Architectural, engineering and other technical 44 33683.6 0.1% activities 883 Advertising 29 39772.5 0.1% 888 Not applicable 45322 19121853.6 58.5% 889 Business activities n.e.c. 923 639152.5 2.0% 911 Central government activi-ties 318 213781.8 0.7% 912 Regional services council activities 5 736.3 0.0% 913 Local authority activities 528 217389.4 0.7% 914 Provincial administrations 13 4461.8 0.0% 915 S A Defence Force 70 47859.9 0.1% 916 S A Police Service 347 164245.5 0.5% 917 Correctional service 132 59899.8 0.2% 920 Education 1784 848207.0 2.6% 931 Human health activities 1049 492912.0 1.5% 932 Veterinary activities 4 1119.3 0.0% 933 Social work activities 237 149463.6 0.5% 940 Other community, social and personal service 41 30284.8 0.1% activities 951 Activities of business, employers and 74 73865.3 0.2% professional organisations 952 Activities of trade unions 2 1257.0 0.0% 959 Activities of other membership organisations 98 47219.0 0.1%

- 68 - File : LFS16WORKER_092007_F1 # Q42Indus: Main industry activity

Value Label Cases Weighted Percentage (Weighted) 961 Motion picture, radio, television and other 24 16806.0 0.1% entertainment activities 962 News agency activities 13 5520.4 0.0% 963 Library, archives, museums and other cultural 66 23160.9 0.1% activities 964 Sporting and other recreational activities 85 55034.9 0.2% 990 Other service activities 247 136834.5 0.4% 999 Unspecified 103 62526.4 0.2% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q43Mwork: Main work

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were economically active in the seven days prior to the interview.

Literal question In ……'s main work was he/she

Notes This question establishes whether people are employers, wage earners, self-employed, etc in the main economic activities they are involved in. Only one category must be chosen. If options "1" or "2" are chosen the instruction is to go to (Q4.4) otherwise skip to (Q4.14).

Value Label Cases Weighted Percentage (Weighted) 1 Working for someone else for pay 18621 9848216.3 30.1% 2 Working for one or more private households as a 2536 1217699.3 3.7% domestic employee, gardener or security guard 3 Working on his/her own or on a small household 1052 372820.4 1.1% farm/plot or collecting natural products from the forest or sea 4 Working on his/her own or with a partner, in any 3873 2037086.0 6.2% type of business (including commercial farms) 5 Helping without pay in a household business 137 52060.3 0.2% 8 Not applicable 45322 19121853.6 58.5% 9 Unspecified 89 47169.0 0.1% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

- 69 - # Q44NrEmp: Number of employers working for

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were economically active and are working for someone for pay in the seven days prior to the interview.

Literal question Does …… work for

Notes This question is intended to pick up people such as domestic workers, who are employed by different people at different times. It only applies to people who work for someone for some form of payment.

Value Label Cases Weighted Percentage (Weighted) 1 One employer 19958 10489391.7 32.1% 2 More than one employer 583 293011.1 0.9% 8 Not applicable 50384 21583820.2 66.0% 9 Unspecified 705 330681.7 1.0% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q45Years: Year commenced working

Information [Type= discrete] [Format=numeric] [Range= 8888-9999] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were economically active and are working for someone for pay in the seven days prior to the interview.

Literal question When did …… start working with the (main) employer mentioned above (firm, institution or private household)? Give year.

Notes This question is intended to establish when people started working for the main employer for whom they are working with the aim of checking whether people are staying in one job for a long time or changing jobs often (job stability).

Value Label Cases Weighted Percentage (Weighted) 1952 1 75.3 0.0% 1955 1 38.5 0.0% 1957 1 43.8 0.0% 1958 3 736.9 0.0% 1959 2 322.1 0.0% 1960 5 2370.9 0.0% 1961 2 1638.6 0.0% 1962 5 571.2 0.0% 1963 7 2875.6 0.0% 1964 3 2522.2 0.0% 1965 3 1504.6 0.0% 1966 10 5861.6 0.0% 1967 12 2101.1 0.0% 1968 10 9411.5 0.0% 1969 18 8337.1 0.0% 1970 32 11608.7 0.0% 1971 24 11296.9 0.0% 1972 29 12530.6 0.0% 1973 33 11884.3 0.0% 1974 52 23256.0 0.1% 1975 48 15681.5 0.0% 1976 67 34249.6 0.1% 1977 71 30936.2 0.1%

- 70 - # Q45Years: Year commenced working

Value Label Cases Weighted Percentage (Weighted) 1978 56 20385.4 0.1% 1979 94 52950.4 0.2% 1980 157 75484.3 0.2% 1981 137 67177.3 0.2% 1982 173 111433.9 0.3% 1983 126 48352.1 0.1% 1984 179 88894.6 0.3% 1985 185 81910.5 0.3% 1986 203 80229.5 0.2% 1987 239 126315.2 0.4% 1988 195 79921.1 0.2% 1989 279 138013.3 0.4% 1990 331 160632.4 0.5% 1991 277 128084.8 0.4% 1992 323 190348.9 0.6% 1993 285 113791.8 0.3% 1994 400 230645.9 0.7% 1995 444 197411.5 0.6% 1996 439 221978.2 0.7% 1997 500 293997.4 0.9% 1998 504 228673.1 0.7% 1999 650 338921.3 1.0% 2000 925 486675.7 1.5% 2001 915 498042.5 1.5% 2002 914 484321.8 1.5% 2003 1067 566144.5 1.7% 2004 1317 684238.1 2.1% 2005 1804 1003625.3 3.1% 2006 2946 1632287.2 5.0% 2007 4544 2379126.7 7.3% 8888 Not applicable 50384 21583820.2 66.0% 9999 Unspecified 199 113215.1 0.3% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q45MnthS: Month commenced working

Information [Type= discrete] [Format=numeric] [Range= 1-99] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were economically active and are working for someone for pay in the seven days prior to the interview.

Literal question When did …… start working with the (main) employer mentioned above (firm, institution or private household)? Give month.

Value Label Cases Weighted Percentage (Weighted) 1 January 3948 2067398.2 6.3% 2 February 2412 1379560.6 4.2%

- 71 - # Q45MnthS: Month commenced working

Value Label Cases Weighted Percentage (Weighted) 3 March 2466 1178225.0 3.6% 4 April 2051 1063356.9 3.3% 5 May 1432 735361.5 2.2% 6 June 2047 1029055.3 3.1% 7 July 1660 875289.2 2.7% 8 August 1623 843602.4 2.6% 9 September 1402 745688.9 2.3% 10 October 739 397622.6 1.2% 11 November 705 361315.4 1.1% 12 December 504 249422.4 0.8% 88 Not applicable 50384 21583820.2 66.0% 99 Unspecified 257 187186.1 0.6% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q46LengJ: Work status

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were economically active and are working for someone for pay in the seven days prior to the interview.

Literal question Is ……'s work

Notes This question seeks to find out how many people, and what types of people, have different levels of job security.

Value Label Cases Weighted Percentage (Weighted) 1 Permanent 14441 7959461.2 24.3% 2 A fixed period contract 1284 691804.0 2.1% 3 Temporary 2989 1370784.0 4.2% 4 Casual 1917 894645.1 2.7% 5 Seasonal 428 81336.6 0.2% 6 Do not know 49 31277.2 0.1% 8 Not applicable 50384 21583820.2 66.0% 9 Unspecified 138 83776.5 0.3% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q47Tools: Tools/equipment owner

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were economically active and are working for someone for pay in the seven days prior to the interview.

Literal question Who owns the tools and/or equipment that …… uses at work?

Notes The question is intended to find out whether the tools and/or equipment people use at work belong to them, their employers or both.

Value Label Cases Weighted Percentage (Weighted) 1 The employer 20740 10835544.9 33.1% 2 The person him/herself 228 114002.5 0.3% 3 Both the employer and the person him/herself 95 45595.1 0.1% 4 Tools and/or equipment are rented/hired or 8 4624.0 0.0% owned by an outside person or organisation

- 72 - # Q47Tools: Tools/equipment owner

Value Label Cases Weighted Percentage (Weighted) 5 Not applicable - equipment not used 36 25460.5 0.1% 6 Do not know 2 3941.7 0.0% 8 Not applicable 50384 21583820.2 66.0% 9 Unspecified 137 83915.8 0.3% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q48WrtnC: Written employment contract

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were economically active and are working for someone for pay in the seven days prior to the interview.

Literal question Does …… have a written contract with the employer?

Notes The question is intended to find out if people involved in economic activities have written contracts with their employers. Most domestic workers have written contracts but they may not know it. The interviewers are instructed to probe and make the respondents understand that even a one-page written agreement regarding their work between themselves and the employers qualifies.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 14746 8107125.8 24.8% 2 No 6196 2830928.5 8.7% 3 Do not know 158 87354.5 0.3% 8 Not applicable 50384 21583820.2 66.0% 9 Unspecified 146 87675.8 0.3% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q49Super: Work under supervision/independently

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were economically active and are working for someone for pay in the seven days prior to the interview.

Literal question Does anyone directly supervise the work …… does or does he/she work independently?

Notes The question seeks to establish if people involved in economic activities work under direct supervision of some people senior to them or they work independently

Value Label Cases Weighted Percentage (Weighted) 1 Work supervised 19500 9949512.3 30.4% 2 Work independently 1590 1062423.3 3.2% 3 Do not know 12 11470.3 0.0% 8 Not applicable 50384 21583820.2 66.0% 9 Unspecified 144 89678.6 0.3% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q410WhoP: Who pays income

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were economically active and are working for someone for pay in the seven days prior to the interview.

Literal question Who pays ……?

Notes This question is intended to test the extent at which workers are being employed indirectly and what type of worker is affected. There are indications that more and more workers are not being employed directly by the main employer at the - 73 - # Q410WhoP: Who pays income place where they work. Contract workers are covered by the Basic Conditions of Employment Act (BCEA), but may have different conditions and benefits than directly employed workers.

Value Label Cases Weighted Percentage (Weighted) 1 The establishment/enterprise/individual for which 20456 10675279.6 32.6% he/she works 2 A labour broker 77 32512.9 0.1% 3 A contractor or agency 501 257234.0 0.8% 4 Other 59 53204.7 0.2% 5 Do not know 5 3208.2 0.0% 8 Not applicable 50384 21583820.2 66.0% 9 Unspecified 148 91645.1 0.3% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q411Pens: Contribution to pension or retirement fund

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were economically active and are working for someone for pay in the seven days prior to the interview.

Literal question Does ……'s employer contribute to any pension/retirement fund?

Notes This question intends to find out if employers contribute to the pension fund for their employees because this is one of the important benefits that some employed workers get. The information gathered through this question will help the government in its plans for state pensions and other social security schemes.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 9801 5632544.7 17.2% 2 No 11081 5211854.8 15.9% 3 Do not know 215 176455.0 0.5% 8 Not applicable 50384 21583820.2 66.0% 9 Unspecified 149 92230.0 0.3% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q412Leav: Paid leave

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were economically active and are working for someone for pay in the seven days prior to the interview.

Literal question Does …… get any paid leave?

Notes This question aims at finding out if employers give their employees paid leave since this is a law requirement. The law states that the employees are entitled to three weeks paid leave in a year.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 11567 6727346.5 20.6% 2 No 9362 4159538.2 12.7% 3 Do not know 153 128490.9 0.4% 8 Not applicable 50384 21583820.2 66.0% 9 Unspecified 164 97709.0 0.3% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q413TrdU: Trade union membership

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ] - 74 - # Q413TrdU: Trade union membership

Universe All members of the households in selected dwelling units aged 15 years and above who were economically active in the seven days prior to the interview.

Literal question Is …… a member of a trade union?

Notes The question is intended for establishing if people are registered members of trade unions.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 6782 3458201.8 10.6% 2 No 14015 7353909.5 22.5% 3 Do not know 236 177972.4 0.5% 8 Not applicable 50384 21583820.2 66.0% 9 Unspecified 213 123000.9 0.4% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q414Typb: Type of business or enterprise

Information [Type= discrete] [Format=numeric] [Range= 1-99] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were economically active in the seven days prior to the interview.

Literal question Is the business or enterprise/branch where …… works

Notes The question seeks to find out how many people are working for the government and NGOs as well as the numbers working for private companies and those self-employed.

Value Label Cases Weighted Percentage (Weighted) 1 National government 623 294874.0 0.9% 2 Provincial government 2581 1132233.9 3.5% 3 Local government 901 404541.6 1.2% 4 A government enterprise (Transnet, Telkom, etc.) 429 294090.2 0.9% 5 A club, community organisation, welfare 323 186362.7 0.6% organisation, NGO or a church 6 A co-operative, self-help association, labour 397 182539.9 0.6% union, professional association, or business league 7 A private business or a private household 17175 9046768.6 27.7% 8 Self-employed 3693 1890004.5 5.8% 9 Do not know 16 6400.5 0.0% 88 Not applicable 45322 19121853.6 58.5% 99 Unspecified 170 137235.3 0.4% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q415aSal: Total salary/pay

Information [Type= discrete] [Format=numeric] [Range= 8888888-9999999] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were economically active in the seven days prior to the interview.

Literal question What is ……’s total salary/pay at his/her main job?

Notes This question is applicable to household members who have been performing certain economic activities in the seven days prior to the interview (from (Q 2.1) and (Q 2.2): "Yes"). The total salary includes overtime, allowances, bonus before any deductions or tax. The enumerators are instructed to give the amounts in whole figures without any text or decimals. For none response, refusals and don’t know there should be a skip to (Q 4.15.c).

- 75 - # Q415aSal: Total salary/pay

Value Label Cases Percentage 8888888 Not applicable 9999999 Unspecified Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q415bSal: Salary period

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were economically active in the seven days prior to the interview and have provided their total salary.

Literal question Only if amount given in 4.15.a Is this

Notes This question is applicable to household members who have been performing certain economic activities in the seven days prior to the interview (from (Q 2.1) and (Q 2.2): "Yes") and have provided an amount in (Q4.15.a). Based on the information given in (Q4.15.a), this question seeks to find out if the given amount is on a weekly, monthly or annual basis.

Value Label Cases Weighted Percentage (Weighted) 1 Per week 4610 2037032.6 6.2% 2 Per month 14172 7074258.0 21.6% 3 Annually 99 36586.6 0.1% 8 Not applicable 52723 23530494.3 72.0% 9 Unspecified 26 18533.3 0.1% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q415cSal: Income categories

Information [Type= discrete] [Format=numeric] [Range= 1-99] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were economically active in the seven days prior to the interview and did not provide their total salary.

Literal question Only if "REFUSE" or " DON’T KNOW" in 4.15.a(Total salary/pay). Show the categories. Make sure the respondent points at the correct income column (weekly, monthly, annually) on prompt card 3 and mark the applicable code.

Notes This question is applicable to household members who have been performing certain economic activities in the seven days prior to the interview (from (Q 2.1) and (Q 2.2): "Yes"). This question is only applicable if there was no answer in (Q 4.15.a), thus in case of a non-response, refusal or don’t know. Since this kind of information is very personal the enumerator is instructed to show a "score card" to the respondents for them to choose the category in which they fall. They are also asked to inform the respondent that there are certain acts that protect individuals in cases of these nature, so Statistics South Africa as a government department is therefore compelled to abide by them.

Value Label Cases Weighted Percentage (Weighted) 1 NONE 1015 365209.4 1.1% 2 R1 - R200 Per Month 275 111451.9 0.3% 3 R201 - R500 Per Month 296 121676.2 0.4% 4 R501 - R1 000 Per Month 381 173822.2 0.5% 5 R1 001 - R1 500 Per Month 332 159530.4 0.5% 6 R1 501 - R2 500 Per Month 545 266539.3 0.8% 7 R2 501 - R3 500 Per Month 519 273251.0 0.8% 8 R3 501 - R4 500 Per Month 476 272954.5 0.8% 9 R4 501 - R6 000 Per Month 535 327218.4 1.0% 10 R6 001 - R8 000 Per Month 530 290166.5 0.9% 11 R8 001 - R11 000 Per Month 542 366660.8 1.1% 12 R11 001 - R16 000 Per Month 334 227078.5 0.7% 13 R16 001 - R30 000 Per Month 229 189308.9 0.6%

- 76 - # Q415cSal: Income categories

Value Label Cases Weighted Percentage (Weighted) 14 R30 001 or more Per Month 108 218042.6 0.7% 15 Do not know 375 300552.2 0.9% 16 Refuse 734 598186.5 1.8% 88 Not applicable 64229 28288264.1 86.5% 99 Unspecified 175 146991.2 0.4% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q416NrWo: Number of employees

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were economically active in the seven days prior to the interview.

Literal question How many regular workers has the organisation/business/ enterprise/branch where …… works, including him/herself?

Notes Interest in this question is on the size of the organization/business in terms of it being formal or informal. The question seeks to determine how many people are usually employed per type of organization/business.

Value Label Cases Weighted Percentage (Weighted) 1 1 5147 2518060.8 7.7% 2 2 - 4 3924 1794963.1 5.5% 3 5 - 9 2866 1306891.1 4.0% 4 10 - 19 3980 1939488.8 5.9% 5 20 - 49 4430 2368148.2 7.2% 6 50 or more 5570 3312543.9 10.1% 7 Do not know 243 231516.4 0.7% 8 Not applicable 45322 19121853.6 58.5% 9 Unspecified 148 103438.9 0.3% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q417Regi: Registered company or close corporation

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were economically active in the seven days prior to the interview.

Literal question Is the organisation/ business/ enterprise/ branch where… works a registered company or close corporation?

Notes The aim of this question is to establish if the organizations that people work for are formal or informal based on whether these businesses/organizations are registered and provide their employees with basic benefits.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 15697 8622726.7 26.4% 2 No 10120 4666728.1 14.3% 3 Do not know 317 183845.4 0.6% 8 Not applicable 45322 19121853.6 58.5% 9 Unspecified 174 101750.9 0.3% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q418UIFC: UIF Deductions

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

- 77 - # Q418UIFC: UIF Deductions

Universe All members of the households in selected dwelling units aged 15 years and above who were economically active in the seven days prior to the interview.

Literal question Is the organisation/ business/ enterprise/ branch where… works deducting UIF contributions for him/her?

Value Label Cases Weighted Percentage (Weighted) 1 Yes 12757 7195168.7 22.0% 2 No, because his/her income is above UIF limit 13040 6016409.1 18.4% 3 Do not know 298 227117.4 0.7% 8 Not applicable 45322 19121853.6 58.5% 9 Unspecified 213 136356.0 0.4% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q419MedA: Medical aid or health insurance contribution

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were economically active in the seven days prior to the interview.

Literal question Does the organisation/ business/ enterprise/ branch where…works provide contributions towards membership of a medical aid fund or health insurance for him/her?

Value Label Cases Weighted Percentage (Weighted) 1 Yes, for him/herself only 1431 857962.3 2.6% 2 Yes, for him/herself and his/her dependants 3601 2316602.7 7.1% 3 Yes, but he/she is not using it 908 614135.0 1.9% 4 No medical aid benefits provided 20089 9585562.8 29.3% 5 Don#t know 97 97479.4 0.3% 8 Not applicable 45322 19121853.6 58.5% 9 Unspecified 182 103309.0 0.3% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q420VatR: Registered for VAT

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were economically active in the seven days prior to the interview.

Literal question Is the organisation/ business/ enterprise/ branch where…works registered for VAT?

Notes The aim of this question is to establish if the organizations/buisnesses that people work for are registered for VAT.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 14677 8090421.8 24.7% 2 No 11154 5082054.3 15.5% 3 Do not know 335 303394.9 0.9% 8 Not applicable 45322 19121853.6 58.5% 9 Unspecified 142 99180.1 0.3% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

- 78 - # Q421Inco: Registered for income tax

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were economically active in the seven days prior to the interview.

Literal question Is the organisation/ business/ enterprise/ branch where…works registered for income tax?

Notes The aim of this question is to establish if the organisations/buisnesses that people work for are registered for income tax.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 15078 8280793.7 25.3% 2 No 10786 4961545.3 15.2% 3 Do not know 298 229976.7 0.7% 8 Not applicable 45322 19121853.6 58.5% 9 Unspecified 146 102735.5 0.3% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q422Sect: Type of business sector

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Definition Formal sector employment is where the employer (institution, business or private individual) is registered perform the activity. Informal sector employment is where the employer is not registered.

Universe All members of the households in selected dwelling units aged 15 years and above who were economically active in the seven days prior to the interview.

Literal question Is the organisation/ business/ enterprise/ branch where …… works

Notes The question is intended on finding out, in the respondent’s opinion, if the organizations they work for are in the formal or informal sector. Formal sector employment refers to cases where the employer is registered (i.e. registered for VAT) to perform the activities, if not the employment sector is regarded informal.

Value Label Cases Weighted Percentage (Weighted) 1 In the formal sector 18543 9873218.6 30.2% 2 In the informal sector (including domestic work) 7544 3556374.8 10.9% 3 Do not know 87 49104.0 0.2% 8 Not applicable 45322 19121853.6 58.5% 9 Unspecified 134 96353.7 0.3% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q423Loca: Location of business/enterprise/branch

Information [Type= discrete] [Format=numeric] [Range= 1-99] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were economically active in the seven days prior to the interview.

Literal question Where is the business/ enterprise/ branch where …… works located?

Notes The interest in this question is in the location of the businesses where people work. These include private households for domestic workers as well as street for street vendors.

Value Label Cases Weighted Percentage (Weighted) 1 In the owner's home/On the owner's farm? 6099 2241356.2 6.9% 2 In someone else's home / Private household 2825 1368783.7 4.2% 3 Inside a formal business premises such as factory 9832 5964502.4 18.2% or office 4 At a service outlet such as a shop, school, post 5382 2828876.8 8.7% office, etc - 79 - # Q423Loca: Location of business/enterprise/branch

Value Label Cases Weighted Percentage (Weighted) 5 At a market 47 25563.0 0.1% 6 On a footpath, street, street corner, open space or 584 259910.9 0.8% field 7 No fixed location 1177 631598.2 1.9% 8 Other 118 55294.6 0.2% 88 Not applicable 45322 19121853.6 58.5% 99 Unspecified 244 199165.4 0.6% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q424aHrs: Hours worked past week: Main job

Information [Type= discrete] [Format=numeric] [Range= 888-999] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Definition Hours worked

Universe All members of the households in selected dwelling units aged 15 years and above who were economically active in the seven days prior to the interview.

Literal question How many hours, including overtime, did …… work during the last seven days

Notes If there are multiple activities performed in the seven day prior to the interview as indicated in (Q2.1), the number of hours worked in the main job should be stated in part a), number of hours worked in other work activities should be stated in part b) and the overall total in part c) of the question.

Value Label Cases Weighted Percentage (Weighted) 0 262 104617.6 0.3% 1 23 10149.8 0.0% 2 41 18752.2 0.1% 3 87 40333.3 0.1% 4 90 32327.6 0.1% 5 84 36707.4 0.1% 6 98 34862.0 0.1% 7 90 37108.2 0.1% 8 117 43518.6 0.1% 9 71 27193.4 0.1% 10 189 73472.6 0.2% 11 8 3977.9 0.0% 12 143 81584.7 0.2% 13 4 464.0 0.0% 14 100 40386.4 0.1% 15 130 64516.2 0.2% 16 160 70258.2 0.2% 17 8 3579.0 0.0% 18 117 52558.5 0.2% 19 2 976.1 0.0% 20 338 143994.8 0.4% 21 116 47410.5 0.1% 22 16 6301.6 0.0% 23 6 2646.8 0.0% 24 228 118146.6 0.4% 25 264 119559.5 0.4%

- 80 - # Q424aHrs: Hours worked past week: Main job

Value Label Cases Weighted Percentage (Weighted) 26 17 5903.9 0.0% 27 54 31582.0 0.1% 28 99 39205.2 0.1% 29 5 1525.6 0.0% 30 705 326455.8 1.0% 31 8 2853.6 0.0% 32 143 71609.4 0.2% 33 10 2922.7 0.0% 34 17 4953.8 0.0% 35 1025 409700.9 1.3% 36 234 104508.9 0.3% 37 23 12263.2 0.0% 38 57 22249.3 0.1% 39 23 9846.0 0.0% 40 8294 4898818.7 15.0% 41 20 10802.1 0.0% 42 451 193294.7 0.6% 43 72 40261.3 0.1% 44 130 62029.8 0.2% 45 4026 2010219.8 6.1% 46 141 57637.7 0.2% 47 67 30260.1 0.1% 48 1266 679305.1 2.1% 49 179 83074.6 0.3% 50 1529 798076.7 2.4% 51 37 16470.4 0.1% 52 138 96485.0 0.3% 53 27 8775.8 0.0% 54 252 133222.8 0.4% 55 535 209111.2 0.6% 56 545 250689.5 0.8% 57 29 11698.3 0.0% 58 66 29574.9 0.1% 59 15 5078.6 0.0% 60 1072 605221.4 1.9% 61 14 6565.8 0.0% 62 26 17560.4 0.1% 63 192 69400.5 0.2% 64 51 22924.3 0.1% 65 93 32843.8 0.1% 66 112 45944.8 0.1% 67 8 2142.3 0.0% 68 15 9282.0 0.0% 69 6 1819.7 0.0% 70 441 213620.1 0.7%

- 81 - # Q424aHrs: Hours worked past week: Main job

Value Label Cases Weighted Percentage (Weighted) 71 5 1458.2 0.0% 72 180 128351.1 0.4% 73 3 590.3 0.0% 74 15 5819.5 0.0% 75 39 39456.3 0.1% 76 5 2709.4 0.0% 77 115 58514.6 0.2% 78 36 15854.8 0.0% 79 1 321.6 0.0% 80 50 24847.6 0.1% 81 7 1291.7 0.0% 82 7 1468.7 0.0% 83 4 1274.7 0.0% 84 316 138737.0 0.4% 85 13 5462.7 0.0% 86 4 853.5 0.0% 87 4 1258.5 0.0% 88 10 4058.4 0.0% 89 3 1243.2 0.0% 90 36 17891.9 0.1% 91 75 31780.7 0.1% 92 4 3068.0 0.0% 94 2 551.0 0.0% 95 5 1679.4 0.0% 96 19 9569.3 0.0% 98 39 18965.5 0.1% 99 1 257.7 0.0% 100 8 3559.9 0.0% 101 1 415.3 0.0% 102 4 556.0 0.0% 104 1 164.8 0.0% 105 19 15374.2 0.0% 107 1 111.4 0.0% 108 8 1368.3 0.0% 110 2 1053.5 0.0% 112 16 4840.5 0.0% 115 1 800.0 0.0% 116 2 564.1 0.0% 119 2 1077.5 0.0% 120 4 2500.3 0.0% 125 1 764.4 0.0% 126 1 794.3 0.0% 140 3 1556.7 0.0% 144 1 85.6 0.0% 888 Not applicable 45322 19121853.6 58.5%

- 82 - # Q424aHrs: Hours worked past week: Main job

Value Label Cases Weighted Percentage (Weighted) 999 Unspecified 174 108932.7 0.3% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q424bHrs: Hours worked past week: Other activities

Information [Type= discrete] [Format=numeric] [Range= 888-999] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Definition Hours worked

Universe All members of the households in selected dwelling units aged 15 years and above who were economically active in the seven days prior to the interview.

Literal question How many hours, including overtime, did …… work during the last seven days

Value Label Cases Weighted Percentage (Weighted) 0 25609 13276617.3 40.6% 1 31 9276.6 0.0% 2 75 27714.4 0.1% 3 46 20217.3 0.1% 4 50 18935.1 0.1% 5 60 21702.2 0.1% 6 39 10823.8 0.0% 7 12 3466.4 0.0% 8 34 9883.2 0.0% 9 15 4505.2 0.0% 10 53 17030.5 0.1% 12 15 5138.2 0.0% 14 10 3777.2 0.0% 15 20 7751.1 0.0% 16 5 3389.8 0.0% 17 1 1128.1 0.0% 18 6 2921.2 0.0% 19 2 3035.4 0.0% 20 13 5466.4 0.0% 21 5 1710.6 0.0% 24 2 677.3 0.0% 25 1 290.0 0.0% 26 1 146.0 0.0% 27 1 365.5 0.0% 28 2 881.9 0.0% 30 8 1867.4 0.0% 32 1 1322.7 0.0% 33 1 71.8 0.0% 34 1 250.5 0.0% 35 1 722.9 0.0% 39 1 80.8 0.0% 40 4 1456.5 0.0%

- 83 - # Q424bHrs: Hours worked past week: Other activities

Value Label Cases Weighted Percentage (Weighted) 42 1 300.4 0.0% 45 3 830.9 0.0% 48 1 545.2 0.0% 50 2 1048.6 0.0% 70 1 181.3 0.0% 81 1 588.8 0.0% 888 Not applicable 45322 19121853.6 58.5% 999 Unspecified 174 108932.7 0.3% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q424cHrs: Hours worked past week: In total

Information [Type= discrete] [Format=numeric] [Range= 888-999] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Definition Hours worked

Universe All members of the households in selected dwelling units aged 15 years and above who were economically active in the seven days prior to the interview.

Literal question How many hours, including overtime, did …… work during the last seven days

Value Label Cases Weighted Percentage (Weighted) 0 263 104808.7 0.3% 1 22 9954.2 0.0% 2 40 18675.8 0.1% 3 84 38857.8 0.1% 4 87 31128.6 0.1% 5 81 36218.1 0.1% 6 98 35129.2 0.1% 7 86 36208.6 0.1% 8 115 41579.7 0.1% 9 68 25221.0 0.1% 10 182 66754.1 0.2% 11 9 4217.0 0.0% 12 141 80268.4 0.2% 13 3 746.2 0.0% 14 104 43608.6 0.1% 15 131 63457.3 0.2% 16 160 71903.6 0.2% 17 10 4973.2 0.0% 18 117 53808.1 0.2% 19 3 1051.3 0.0% 20 324 139663.1 0.4% 21 112 45175.2 0.1% 22 20 6995.6 0.0% 23 13 4653.1 0.0% 24 223 115203.0 0.4%

- 84 - # Q424cHrs: Hours worked past week: In total

Value Label Cases Weighted Percentage (Weighted) 25 262 118359.2 0.4% 26 20 6950.4 0.0% 27 55 31633.7 0.1% 28 95 38262.9 0.1% 29 8 5946.7 0.0% 30 687 324355.8 1.0% 31 8 2853.6 0.0% 32 141 70805.7 0.2% 33 13 3419.6 0.0% 34 18 5330.0 0.0% 35 1006 403591.6 1.2% 36 232 102150.8 0.3% 37 30 14536.5 0.0% 38 65 25291.0 0.1% 39 27 9581.9 0.0% 40 8168 4846658.3 14.8% 41 29 15236.7 0.0% 42 480 206426.2 0.6% 43 87 44744.2 0.1% 44 144 67030.1 0.2% 45 3991 2003149.9 6.1% 46 160 63049.3 0.2% 47 76 33436.2 0.1% 48 1269 677347.1 2.1% 49 183 83072.5 0.3% 50 1529 799068.7 2.4% 51 40 18254.9 0.1% 52 145 95150.4 0.3% 53 41 15215.6 0.0% 54 252 134591.9 0.4% 55 548 215187.8 0.7% 56 549 253719.6 0.8% 57 32 12464.2 0.0% 58 75 32452.4 0.1% 59 17 5360.0 0.0% 60 1058 604284.9 1.8% 61 18 7477.8 0.0% 62 32 19969.5 0.1% 63 196 69991.4 0.2% 64 55 24080.0 0.1% 65 99 34101.6 0.1% 66 114 46631.6 0.1% 67 11 2987.3 0.0% 68 16 9632.0 0.0% 69 6 1936.8 0.0%

- 85 - # Q424cHrs: Hours worked past week: In total

Value Label Cases Weighted Percentage (Weighted) 70 431 211379.9 0.6% 71 9 2957.3 0.0% 72 184 131583.8 0.4% 73 3 590.3 0.0% 74 18 6776.3 0.0% 75 48 41397.5 0.1% 76 7 3360.4 0.0% 77 114 58371.6 0.2% 78 36 15528.4 0.0% 79 5 979.2 0.0% 80 58 26670.6 0.1% 81 8 1400.9 0.0% 82 7 1468.7 0.0% 83 5 1708.8 0.0% 84 311 137537.7 0.4% 85 14 5843.4 0.0% 86 3 1125.2 0.0% 87 3 680.3 0.0% 88 11 4603.6 0.0% 89 5 2226.9 0.0% 90 39 18628.6 0.1% 91 77 32191.0 0.1% 92 5 4036.7 0.0% 93 1 545.6 0.0% 94 3 761.8 0.0% 95 5 1679.4 0.0% 96 19 9569.3 0.0% 98 39 18779.8 0.1% 99 1 257.7 0.0% 100 9 3835.9 0.0% 101 3 584.5 0.0% 102 4 556.0 0.0% 105 21 15908.5 0.0% 107 1 111.4 0.0% 108 8 1368.3 0.0% 110 3 1218.3 0.0% 112 17 5125.5 0.0% 115 1 800.0 0.0% 116 2 564.1 0.0% 119 2 1077.5 0.0% 120 4 2500.3 0.0% 125 1 764.4 0.0% 126 1 794.3 0.0% 140 3 1556.7 0.0% 144 2 674.3 0.0%

- 86 - # Q424cHrs: Hours worked past week: In total

Value Label Cases Weighted Percentage (Weighted) 888 Not applicable 45322 19121853.6 58.5% 999 Unspecified 174 108932.7 0.3% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q425aHrs: Hours usually worked: In his/her main job/activity

Information [Type= discrete] [Format=numeric] [Range= 888-999] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were economically active in the seven days prior to the interview.

Literal question How many hours per week, including overtime, does … usually work?

Notes If there are multiple activities that a person usually performs the number of hours worked in the main job should be stated in part a), number of hours worked in other work activities should be stated in part b) and the overall total in part c) of the question.

Value Label Cases Weighted Percentage (Weighted) 1 23 11711.1 0.0% 2 34 14839.7 0.0% 3 72 31841.9 0.1% 4 81 27821.6 0.1% 5 77 36140.0 0.1% 6 97 36933.4 0.1% 7 88 36629.0 0.1% 8 94 35413.6 0.1% 9 50 15458.9 0.0% 10 172 64972.8 0.2% 11 7 3623.1 0.0% 12 136 78376.6 0.2% 13 2 397.5 0.0% 14 100 40102.7 0.1% 15 130 63269.4 0.2% 16 155 68551.0 0.2% 17 6 2993.6 0.0% 18 114 49400.8 0.2% 19 3 3897.1 0.0% 20 345 142537.6 0.4% 21 114 46607.9 0.1% 22 21 6324.9 0.0% 23 5 2420.2 0.0% 24 213 109855.2 0.3% 25 271 121791.4 0.4% 26 18 6895.0 0.0% 27 45 23003.6 0.1% 28 93 40076.8 0.1% 29 5 2542.4 0.0% 30 695 325609.1 1.0% 31 8 2021.3 0.0% 32 133 63504.7 0.2%

- 87 - # Q425aHrs: Hours usually worked: In his/her main job/activity

Value Label Cases Weighted Percentage (Weighted) 33 9 3283.8 0.0% 34 13 3682.6 0.0% 35 1077 423044.0 1.3% 36 211 95632.4 0.3% 37 23 12776.3 0.0% 38 55 21474.5 0.1% 39 27 10937.9 0.0% 40 8426 4941458.7 15.1% 41 22 11546.1 0.0% 42 449 202634.3 0.6% 43 77 45977.6 0.1% 44 133 59813.7 0.2% 45 4179 2070945.1 6.3% 46 141 57914.2 0.2% 47 61 31269.6 0.1% 48 1263 650623.4 2.0% 49 183 84852.3 0.3% 50 1546 815675.1 2.5% 51 31 15595.1 0.0% 52 144 103351.9 0.3% 53 28 9462.7 0.0% 54 244 128963.1 0.4% 55 543 223509.2 0.7% 56 546 249742.9 0.8% 57 24 8066.4 0.0% 58 64 32445.8 0.1% 59 13 3959.1 0.0% 60 1109 616523.3 1.9% 61 11 5225.9 0.0% 62 27 28688.8 0.1% 63 187 70107.0 0.2% 64 50 21257.5 0.1% 65 96 32716.1 0.1% 66 111 45739.9 0.1% 67 7 1672.3 0.0% 68 20 11824.3 0.0% 69 7 2643.3 0.0% 70 452 214719.0 0.7% 71 5 1458.2 0.0% 72 184 129201.2 0.4% 73 4 760.0 0.0% 74 14 4238.8 0.0% 75 42 41793.2 0.1% 76 4 1914.4 0.0% 77 112 56177.5 0.2%

- 88 - # Q425aHrs: Hours usually worked: In his/her main job/activity

Value Label Cases Weighted Percentage (Weighted) 78 31 13124.3 0.0% 80 62 33085.3 0.1% 81 8 2201.4 0.0% 82 7 1477.0 0.0% 83 4 1274.7 0.0% 84 333 146175.0 0.4% 85 9 3998.5 0.0% 86 5 1404.3 0.0% 87 2 636.0 0.0% 88 9 2987.2 0.0% 89 2 895.1 0.0% 90 39 18287.1 0.1% 91 75 32345.6 0.1% 92 4 2658.8 0.0% 93 1 413.1 0.0% 94 4 1799.3 0.0% 95 5 1679.4 0.0% 96 19 9490.4 0.0% 98 37 19564.2 0.1% 99 1 257.7 0.0% 100 10 4216.5 0.0% 101 1 415.3 0.0% 102 1 121.0 0.0% 104 1 164.8 0.0% 105 20 15861.1 0.0% 108 9 1662.5 0.0% 110 2 1053.5 0.0% 112 16 5083.2 0.0% 116 1 269.9 0.0% 119 2 1077.5 0.0% 120 3 2317.7 0.0% 125 1 764.4 0.0% 126 1 794.3 0.0% 140 3 1556.7 0.0% 144 1 85.6 0.0% 888 Not applicable 45322 19121853.6 58.5% 999 Unspecified 198 124990.4 0.4% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q425bHrs: Hours usually worked: In other activities

Information [Type= discrete] [Format=numeric] [Range= 888-999] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were economically active in the seven days prior to the interview.

Literal question How many hours per week, including overtime, does … usually work?

- 89 - # Q425bHrs: Hours usually worked: In other activities

Value Label Cases Weighted Percentage (Weighted) 0 25615 13264418.5 40.6% 1 20 5120.5 0.0% 2 60 19176.5 0.1% 3 53 24904.6 0.1% 4 32 14129.2 0.0% 5 57 24334.6 0.1% 6 33 8732.4 0.0% 7 14 3237.2 0.0% 8 29 7828.3 0.0% 9 10 7703.1 0.0% 10 59 22194.0 0.1% 12 19 5809.5 0.0% 13 1 47.8 0.0% 14 11 4128.5 0.0% 15 20 7255.9 0.0% 16 5 3353.1 0.0% 18 5 2737.0 0.0% 19 1 62.2 0.0% 20 25 8718.6 0.0% 21 5 1506.9 0.0% 24 5 2011.7 0.0% 25 2 1544.2 0.0% 26 1 146.0 0.0% 27 1 365.5 0.0% 28 2 881.9 0.0% 30 10 2951.9 0.0% 32 2 1889.4 0.0% 33 1 71.8 0.0% 34 1 250.5 0.0% 35 2 831.8 0.0% 39 1 80.8 0.0% 40 2 951.8 0.0% 42 1 300.4 0.0% 45 1 296.6 0.0% 48 1 545.2 0.0% 50 1 772.6 0.0% 70 1 181.3 0.0% 81 1 588.8 0.0% 888 Not applicable 45322 19121853.6 58.5% 999 Unspecified 198 124990.4 0.4% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

- 90 - # Q425cHrs: Hours usually worked: In total

Information [Type= discrete] [Format=numeric] [Range= 888-999] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were economically active in the seven days prior to the interview.

Literal question How many hours per week, including overtime, does … usually work?

Value Label Cases Weighted Percentage (Weighted) 0 3 1233.4 0.0% 1 21 11139.4 0.0% 2 33 14688.9 0.0% 3 70 30982.8 0.1% 4 84 28626.8 0.1% 5 75 35653.8 0.1% 6 95 36717.2 0.1% 7 83 35486.1 0.1% 8 92 33950.7 0.1% 9 49 15014.3 0.0% 10 168 61562.1 0.2% 11 8 3799.4 0.0% 12 134 77052.9 0.2% 13 3 904.4 0.0% 14 103 43151.7 0.1% 15 128 62764.8 0.2% 16 154 67293.1 0.2% 17 7 3169.2 0.0% 18 109 47712.1 0.1% 19 3 1051.3 0.0% 20 334 140186.3 0.4% 21 112 44999.0 0.1% 22 24 6809.0 0.0% 23 8 2598.2 0.0% 24 206 107027.9 0.3% 25 265 119978.8 0.4% 26 23 8539.2 0.0% 27 46 23974.9 0.1% 28 88 38585.6 0.1% 29 8 5800.0 0.0% 30 675 320969.8 1.0% 31 8 2021.3 0.0% 32 133 63741.6 0.2% 33 13 3877.7 0.0% 34 15 4259.6 0.0% 35 1064 420143.5 1.3% 36 210 93894.6 0.3%

- 91 - # Q425cHrs: Hours usually worked: In total

Value Label Cases Weighted Percentage (Weighted) 37 27 13433.5 0.0% 38 61 23499.8 0.1% 39 25 10060.4 0.0% 40 8306 4897262.8 15.0% 41 25 13029.4 0.0% 42 475 210597.0 0.6% 43 94 51453.1 0.2% 44 143 63008.1 0.2% 45 4138 2058815.1 6.3% 46 158 61634.2 0.2% 47 73 36518.6 0.1% 48 1269 654044.7 2.0% 49 186 84041.9 0.3% 50 1551 815361.1 2.5% 51 35 18016.0 0.1% 52 152 104593.2 0.3% 53 43 16484.0 0.1% 54 244 131640.4 0.4% 55 553 228492.5 0.7% 56 550 251443.4 0.8% 57 26 8230.3 0.0% 58 71 35062.8 0.1% 59 16 4578.9 0.0% 60 1104 615080.0 1.9% 61 15 5925.0 0.0% 62 31 30017.8 0.1% 63 192 70463.3 0.2% 64 52 21867.3 0.1% 65 105 36072.6 0.1% 66 110 44574.7 0.1% 67 9 2402.9 0.0% 68 23 12305.0 0.0% 69 6 2211.9 0.0% 70 445 213641.7 0.7% 71 7 1932.1 0.0% 72 188 132691.2 0.4% 73 5 1091.6 0.0% 74 18 4930.6 0.0% 75 50 46023.9 0.1% 76 6 2565.4 0.0% 77 113 56385.6 0.2% 78 30 12690.2 0.0% 79 5 961.8 0.0% 80 72 37053.5 0.1% 81 8 2201.4 0.0%

- 92 - # Q425cHrs: Hours usually worked: In total

Value Label Cases Weighted Percentage (Weighted) 82 7 1477.0 0.0% 83 5 1708.8 0.0% 84 329 145075.0 0.4% 85 10 4379.2 0.0% 86 4 1676.1 0.0% 87 1 57.8 0.0% 88 10 3532.4 0.0% 89 5 2446.0 0.0% 90 43 19611.1 0.1% 91 77 32914.7 0.1% 92 5 3627.4 0.0% 93 1 413.1 0.0% 94 5 2010.1 0.0% 95 7 1865.6 0.0% 96 19 9490.4 0.0% 98 36 19279.3 0.1% 99 1 257.7 0.0% 100 10 4216.5 0.0% 101 3 584.5 0.0% 102 1 121.0 0.0% 105 20 15861.1 0.0% 108 9 1662.5 0.0% 110 3 1218.3 0.0% 112 17 5368.2 0.0% 116 1 269.9 0.0% 119 2 1077.5 0.0% 120 3 2317.7 0.0% 125 1 764.4 0.0% 126 1 794.3 0.0% 140 3 1556.7 0.0% 144 2 674.3 0.0% 888 Not applicable 45322 19121853.6 58.5% 999 Unspecified 198 124990.4 0.4% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q426Fixe: Flexible or fixed working hours

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were economically active in the seven days prior to the interview.

Literal question Can …… decide on the number of hours per week during which he/she works, or are these fixed by the employer?

Notes The aim of the question is to find out if people have a say in the number of hours they would like to work per week, whether they can decide to work flexi hours or they have to work the hours as stipulated by the employer without a say.

Value Label Cases Weighted Percentage (Weighted) 1 He/she can decide fully for him/herself 5340 2624570.2 8.0%

- 93 - # Q426Fixe: Flexible or fixed working hours

Value Label Cases Weighted Percentage (Weighted) 2 He/she can decide, but within a limited range 822 483914.3 1.5% (e.g. flexitime) 3 Number of hours are fixed by his/her employer 19953 10346654.7 31.6% 4 Do not know 42 29017.9 0.1% 8 Not applicable 45322 19121853.6 58.5% 9 Unspecified 151 90894.1 0.3% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q427More: Willing to work longer hours

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were economically active in the seven days prior to the interview.

Literal question Do/Does …… want to work longer hours?

Notes The question seeks to find out if people are willing to work longer hours than the number of hours that they normally work in a week or not. If the answer is a "No" then the instruction is to end the section for the concerned person and go to Section 5.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 3425 1730693.3 5.3% 2 No 22648 11700891.8 35.8% 3 Do not know 84 47797.3 0.1% 8 Not applicable 45322 19121853.6 58.5% 9 Unspecified 151 95668.9 0.3% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q428Star: Willing to do extra work

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were economically active in the seven days prior to the interview and are willing to work long hours.

Literal question If extra work was available, would …… be able to start such work in the next four weeks?

Notes The question is intended on establishing if people would be able to start extra work in the four weeks after the interview, if such work was available. If the answer is a "No" then the instruction is to end the section for the concerned person and go to Section 5.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 2841 1468465.8 4.5% 2 No 613 280080.9 0.9% 3 Do not know 42 26707.8 0.1% 8 Not applicable 67970 30822745.4 94.3% 9 Unspecified 164 98904.9 0.3% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q429Look: Action to look for extra work

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were economically active in the seven days prior to the interview, willing to work long hours and can start work in the four weeks after the interview.

Literal question During the past four weeks, has …… taken any action to look for or prepare for any extra work?

- 94 - # Q429Look: Action to look for extra work

Notes The question seeks to find out if people have taken an initiative to look for or prepare for any extra work. If the answer is a "No" or "Don’t know" then the instruction is to end the section for the concerned person and go to Section 5.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 889 463340.0 1.4% 2 No 1965 1017924.6 3.1% 3 Do not know 24 10409.4 0.0% 8 Not applicable 68583 31102826.3 95.1% 9 Unspecified 169 102404.5 0.3% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q430Seek: Activities done to look or prepare for extra work

Information [Type= discrete] [Format=numeric] [Range= 1-99] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Literal question What activities did …… do to look or prepare for extra work?

Notes This question is applicable to people who have taken action to look for or prepare for extra work. The question is intended on finding out about the types of activities people did in search for extra work.

Value Label Cases Weighted Percentage (Weighted) 1 Enquired at workplaces, farms, factories or called 366 194564.5 0.6% on other possible employers 2 Waited/registered at employment agency, labour 65 42378.4 0.1% broker, department of labour or trade union 3 Placed or answered advertisements 184 97988.1 0.3% 4 Sought assistance from friends or relatives 153 81326.7 0.2% 5 Looked for land, buildings or equipment or 16 5518.8 0.0% applied for permit to start own business or farming 6 Waiting at the street-side 34 13262.0 0.0% 7 Other 60 22568.9 0.1% 8 Do not know 2 1156.4 0.0% 88 Not applicable 70572 32131160.3 98.3% 99 Unspecified 178 106980.8 0.3% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q431TypX: Type of extra work looking for

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Literal question Was …… mostly looking for

Notes This question is applicable to people who have taken action to look for or prepare for extra work. The question is aimed at establishing if people have been looking for jobs similar to the one that they are currently doing of different with more hours.

Value Label Cases Weighted Percentage (Weighted) 1 The same type of work 256 133185.4 0.4% 2 Different type of work 616 323665.6 1.0% 3 Do not know 1 174.1 0.0% 8 Not applicable 70572 32131160.3 98.3%

- 95 - # Q431TypX: Type of extra work looking for

Value Label Cases Weighted Percentage (Weighted) 9 Unspecified 185 108719.5 0.3% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q51Epwpk: Ever heard of the EPWP programme

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above.

Literal question Has …… ever heard of the Expanded Public Works Programme (EPWP)?

Notes The EPWP is a nationwide programme which will draw significant numbers of the unemployed into productive work, so that workers gain skills while they work and increase their capacity to earn an income. Note the skip if "No" or "Don’t know" ? Go to (Q5.3).

Value Label Cases Weighted Percentage (Weighted) 1 Yes 25612 9776744.4 29.9% 2 No 45199 22530201.1 68.9% 3 Do not know 512 288560.3 0.9% 9 Unspecified 307 101399.0 0.3% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q52Epwpt: Participation in the EPWP programme

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above.

Literal question Has …… participated in any EPWP programme or project during the past six (6) months?

Notes Job creation programmes can involve persons being trained in the manufacturing and sale of goods, e.g. growing vegetables for sale.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 609 258974.6 0.8% 2 No 24530 9333890.2 28.5% 3 Do not know 3 757.6 0.0% 8 Not applicable 45711 22818761.4 69.8% 9 Unspecified 777 284521.0 0.9% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q53GovJo: Participation in the job creation programme

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above.

Literal question Did ……. work in any government job creation programme or project during the past six (6) months?

Notes Note the reference period, the past six (6) months.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 532 205500.0 0.6% 2 No 70312 32158613.1 98.4% 3 Do not know 313 146563.4 0.4% 9 Unspecified 473 186228.4 0.6% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

- 96 - # Q54ProgN: Name of the job creation programme

Information [Type= discrete] [Format=numeric] [Range= 2-99] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above.

Literal question What is the name of the programme or project that ……. worked/participated in during the past six (6) months?

Notes Record the name of the programme or project that the respondent participated in. For codes see Expanded Public Works Programme Code list.

Value Label Cases Weighted Percentage (Weighted) 2 Bambanani programme 3 624.1 0.0% 3 Building for Sports & Recreation Programme 5 2665.8 0.0% (BSRP) 4 Community Based Public Works programme 10 2874.0 0.0% (CBPWP) 5 Comprehensive Agricultural Support Programme 3 226.6 0.0% (CASP) 6 Early Childhood Development (ECD) 4 1981.1 0.0% 8 Home Community Based Care (HCBC) 19 8343.2 0.0% 9 Integrated National Electrification Programme 1 504.1 0.0% (INEP) 10 Labour Based Construction Programme 69 25102.3 0.1% 11 LandCare 4 579.0 0.0% 12 People and Parks 1 907.5 0.0% 13 Repair and Maintentance Programme (RAMP) 5 496.1 0.0% 14 Saamstaan 1 24.3 0.0% 17 Siyavuna 1 126.8 0.0% 20 Vukuzakhe 5 4268.3 0.0% 21 Working for the Coast 1 74.5 0.0% 22 Working for Tourism 1 2454.7 0.0% 23 Working for Waste 1 522.6 0.0% 24 Working for Water 21 8924.4 0.0% 26 Working on fire 2 488.5 0.0% 27 Zenzele 1 579.2 0.0% 28 Zibambele 51 12168.3 0.0% 30 Not part of a programme 1 293.1 0.0% 31 Don't know 3 2458.4 0.0% 32 Other 263 106184.8 0.3% 68 1 426.8 0.0% 88 Not applicable 70625 32305176.5 98.8% 99 Unspecified 528 208429.8 0.6% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q55aProv: Province of programme/project

Information [Type= discrete] [Format=numeric] [Range= 1-99] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above.

Literal question Where was/is the programme or project in which ….… worked/participated based?

Notes Ask the respondent to tell you the province as well as the nearest town in which the programme or project that he/she participated in was based. Mark the corresponding box for the province and record the name of the nearest town in the space provided. - 97 - # Q55aProv: Province of programme/project

Value Label Cases Weighted Percentage (Weighted) 1 Western Cape 29 6607.8 0.0% 2 Eastern Cape 47 25133.3 0.1% 3 Northern Cape 50 8441.5 0.0% 4 Free State 81 31649.5 0.1% 5 KwaZulu-Natal 159 43641.8 0.1% 6 North West 19 7095.9 0.0% 7 Gauteng 35 29792.6 0.1% 8 Mpumalanga 42 18862.9 0.1% 9 Limpopo 37 23215.5 0.1% 88 Not applicable 70625 32305176.5 98.8% 99 Unspecified 506 197287.5 0.6% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q55bTown: Nearest town to programme/project

Information [Type= discrete] [Format=numeric] [Range= 10102-99999] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above.

Literal question Where was/is the programme or project in which ….… worked/participated based?

Value Label Cases Weighted Percentage (Weighted) 6 1 412.9 0.0% 32 3 202.1 0.0% 528 2 270.8 0.0% 10102 Ebenhaesar 1 60.7 0.0% 10201 Cederberg 1 107.5 0.0% 10706 Paarl 3 534.1 0.0% 10814 Stellenbosch Part 1 1 152.1 0.0% 11609 Langeberg 1 237.1 0.0% 11906 Oudtshoorn Part 1 2 536.9 0.0% 12105 Knysna Part 1 4 1486.3 0.0% 12301 Leeu Gamka 1 33.7 0.0% 12302 Prince Albert Part 1 2 51.5 0.0% 12401 Beaufort West Part 1 4 82.3 0.0% 12404 Beaufort West Part 2 2 54.5 0.0% 17103 Blue Downs 1 1018.9 0.0% 17112 Elsiesrivier 1 1540.2 0.0% 20207 Somerset East 1 258.2 0.0% 20404 Makana 1 234.5 0.0% 21105 Butterworth 1 846.2 0.0% 21113 Lindinxiwa 1 189.6 0.0% 21123 Nqamakwe 1 972.6 0.0% 21303 Amazizi 2 552.5 0.0% 21315 Keiskammahoek 1 404.4 0.0%

- 98 - # Q55bTown: Nearest town to programme/project

Value Label Cases Weighted Percentage (Weighted) 21317 Lusikisiki 1 733.5 0.0% 21414 East London 3 2660.1 0.0% 21602 Amagqunukwebe 1 3481.9 0.0% 21605 Amakhuze 0 0.0 21801 Cradock 3 538.8 0.0% 21907 Tsolwana 3 885.1 0.0% 22005 Sterkstroom 1 792.0 0.0% 22112 Queenstown Part 1 2 623.8 0.0% 22223 Tsomo Part 1 1 336.3 0.0% 22404 Engcobo 4 879.7 0.0% 22606 Batlokoa 1 660.3 0.0% 22619 Ugie 1 190.7 0.0% 22717 Sterkspruit 1 208.7 0.0% 22801 Aliwal North 1 202.8 0.0% 23008 Bizana 2 1650.4 0.0% 23207 Flagstaff 1 891.5 0.0% 23404 Libode 1 643.0 0.0% 23410 Ngqeleni 2 2797.8 0.0% 23722 Umzimkulu Part 1 2 935.6 0.0% 23817 Mount Frere 6 2568.3 0.0% 27518 Uitenhage 1 527.0 0.0% 30207 Nababeep 1 127.8 0.0% 30210 Springbok 1 84.6 0.0% 30301 Garies 2 99.4 0.0% 30305 Kamieskroon 0 0.0 30603 Onseepkans 1 112.8 0.0% 30605 Pofadder 2 181.0 0.0% 30804 Norvalspont 4 692.9 0.0% 30806 Umsombomvu 2 184.4 0.0% 30903 De Aar 2 162.8 0.0% 30904 Emthanjeni 2 262.8 0.0% 31102 Petrusville 1 83.8 0.0% 31304 Prieska 2 188.8 0.0% 31403 Douglas 1 158.7 0.0% 31609 Keimoes 1 79.7 0.0% 31711 Upington 4 404.3 0.0% 31804 Groblershoop 1 103.7 0.0% 31908 Postmasburg 1 80.2 0.0% 32102 Kimberley 2 361.9 0.0% 32104 Ritchie 1 43.1 0.0% 32105 Roodepan 9 2919.1 0.0% 32106 Sol Plaatje 1 434.3 0.0% 32303 Warrenton 1 197.4 0.0% 32817 2 616.8 0.0% 38703 Hartswater 1 155.7 0.0%

- 99 - # Q55bTown: Nearest town to programme/project

Value Label Cases Weighted Percentage (Weighted) 40105 Jacobsdal 1 68.1 0.0% 40107 Letsemeng 2 115.5 0.0% 40110 Petrusburg 3 295.8 0.0% 40201 Bethulie 1 60.9 0.0% 40203 Edenburg 3 192.7 0.0% 40204 Fauresmith 1 88.8 0.0% 40209 Jagersfontein 2 150.7 0.0% 40210 Kopanong 1 366.4 0.0% 40219 Springfontein 1 116.3 0.0% 40220 Trompsburg 3 225.1 0.0% 40303 Mohokare 3 143.9 0.0% 40307 Zastron 1 79.5 0.0% 40501 Baralong Boo Moroka 0 0.0 40502 Bloemfontein 1 56.2 0.0% 40503 Botshabelo 7 4470.8 0.0% 40510 Thaba Nchu 5 3164.5 0.0% 40511 Mangaung Part 2 5 2647.8 0.0% 40602 Dipeleng 1 575.5 0.0% 40711 Masilonyana 2 1030.1 0.0% 40905 Tswelopele 1 540.6 0.0% 41003 Free State Geduld Gold Mine 1 418.4 0.0% 41008 Matjhabeng 8 3672.0 0.0% 41101 Bothaville 1 498.0 0.0% 41105 Wesselsbron 1 298.6 0.0% 41201 Clocolan 2 722.4 0.0% 41202 Ficksburg 2 1927.6 0.0% 41303 Clarens 1 333.1 0.0% 41401 Arlington 2 1932.0 0.0% 41410 Reitz 2 738.6 0.0% 41502 Bolata 2 782.7 0.0% 41503 Harrismith 1 399.9 0.0% 41504 Intabazwe 1 461.2 0.0% 41512 Phuthaditjhaba 5 3187.5 0.0% 41604 Vrede 1 505.7 0.0% 41701 Kroonstad 1 242.8 0.0% 41705 Rammulutsi 1 339.5 0.0% 41807 Parys 1 211.3 0.0% 50215 Umzinto 1 364.3 0.0% 50307 Ndelu 6 651.2 0.0% 50403 Harding 2 594.6 0.0% 50501 Ezingoleni 7 1641.5 0.0% 50605 Hibiscus Coast 1 293.3 0.0% 50620 Port Shepstone Part 1 11 2314.1 0.0% 50634 Uvongo 1 351.0 0.0% 50635 Port Shepstone Part 2 6 1613.6 0.0%

- 100 - # Q55bTown: Nearest town to programme/project

Value Label Cases Weighted Percentage (Weighted) 51001 Batlokoa 1 532.5 0.0% 51109 Pietermaritzburg 8 2437.6 0.0% 51403 Emnambithi/Ladysmith 1 130.8 0.0% 51407 Ladysmith 9 1748.5 0.0% 51703 Bergville Part 1 2 450.7 0.0% 51804 Estcourt 2 388.1 0.0% 51901 Dundee 2 426.9 0.0% 52010 Nqutu 2 243.7 0.0% 52203 Chunu 2 597.9 0.0% 52210 Mtungwa 2 277.6 0.0% 52404 Newcastle Part 1 6 913.2 0.0% 52408 Newcastle Part 2 0 0.0 52503 Utrecht Part 2 4 601.5 0.0% 52703 eDumbe 1 131.9 0.0% 53003 Nongoma 3 657.3 0.0% 53102 Buthelezi Empithimpithini 1 231.5 0.0% 53111 Ulundi Part 1 2 205.4 0.0% 53205 Tembe 4 1625.2 0.0% 53308 Myeni/Ntsinde 1 312.7 0.0% 53402 Hluhluwe 1 126.8 0.0% 53502 Hlabisa 2 499.3 0.0% 53606 Mtubatuba Part 1 2 1684.7 0.0% 53701 KwaMbonambi 2 913.6 0.0% 53704 Mbonambi Part 1 1 284.8 0.0% 53803 Empangeni 2 723.1 0.0% 53812 Richards Bay Part 3 1 391.7 0.0% 54027 uMlalazi 5 1280.7 0.0% 54104 Melmoth 1 224.2 0.0% 54410 Stanger 2 336.0 0.0% 54904 Matatiele Part 1 5 414.2 0.0% 55003 Kokstad 1 242.5 0.0% 57214 Clermont 1 2432.1 0.0% 57218 Durban 9 1860.2 0.0% 57289 Verulam 1 285.3 0.0% 60210 Ga-Rankuwa 1 803.2 0.0% 60522 Mogwase 1 579.2 0.0% 60706 Delareyville 1 270.6 0.0% 60816 Mafikeng Part 1 3 1429.2 0.0% 60910 Lichtenburg 1 399.0 0.0% 61017 Zeerust Part 2 2 692.4 0.0% 61403 Bathlaping Ba Ga Phuduhutswana 1 216.9 0.0% 61908 Jouberton 1 149.6 0.0% 61912 Klerksdorp 2 675.3 0.0% 61914 Orkney 1 181.7 0.0% 61916 Stilfontein 1 256.7 0.0%

- 101 - # Q55bTown: Nearest town to programme/project

Value Label Cases Weighted Percentage (Weighted) 68103 Kuruman Part 1 4 1396.5 0.0% 68806 Merafong City Part 2 1 266.1 0.0% 70401 Boipatong 1 121.7 0.0% 70406 Sebokeng 1 215.3 0.0% 70410 Vereeniging 6 2025.7 0.0% 70508 Vereeniging 1 163.2 0.0% 70702 Cullinan 1 89.5 0.0% 77036 1 144.7 0.0% 77301 Alberton 1 7547.2 0.0% 77317 Kempton Park 1 536.4 0.0% 77321 Nigel 1 631.5 0.0% 77327 Vosloorus 1 703.8 0.0% 77409 Johannesburg 8 7766.1 0.0% 77424 Sandton 2 1658.5 0.0% 77603 Centurion 2 286.1 0.0% 77612 Pretoria 4 1953.2 0.0% 78803 Carletonville 1 375.3 0.0% 80101 Albert Luthuli 2 704.1 0.0% 80204 Ermelo 3 1236.0 0.0% 80601 Balfour 1 330.1 0.0% 80717 Secunda 6 2370.0 0.0% 80928 Ogies 1 765.4 0.0% 80948 Witbank 5 2029.5 0.0% 81402 Lydenburg 1 42.2 0.0% 81404 Pilgrim's Rest 1 493.5 0.0% 81503 Hazyview 3 2103.0 0.0% 81517 Nelspruit 8 2843.6 0.0% 81524 Witrivier 1 367.3 0.0% 81606 Umjindi 1 326.9 0.0% 81707 Komatiepoort 2 847.5 0.0% 81709 Malelane 1 397.4 0.0% 88302 Marble Hall 2 872.9 0.0% 88401 Greater Groblersdal Part 2 1 482.0 0.0% 88502 Burgersfort 5 4956.2 0.0% 88888 Not applicable 70625 32305176.5 98.8% 90111 Giyani Part 2 1 262.2 0.0% 90501 Messina 1 550.8 0.0% 90704 Madonsi 1 455.8 0.0% 90719 Thohoyandou 2 1528.4 0.0% 90803 Dzanani 1 546.9 0.0% 90808 Louis Trichardt 1 907.5 0.0% 91215 Pietersburg Part 1 6 4390.5 0.0% 91217 Seshego Part 1 1 1224.5 0.0% 91405 Northam 1 2454.7 0.0% 91601 Mookgophong 3 602.2 0.0%

- 102 - # Q55bTown: Nearest town to programme/project

Value Label Cases Weighted Percentage (Weighted) 91604 Roedtan 1 324.6 0.0% 91704 Vaalwater 2 425.8 0.0% 98507 SD 1 499.5 0.0% 98509 Sekhukhuneland 1 205.0 0.0% 99999 Unspecified 564 221968.6 0.7% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q56aCons: Acquired skills: Construction related

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above and who participated in a job creation programme or expanded public works programme in the past 6 months.

Literal question Which skills (if any) did ………. acquired during participation in any of the programmes or project mentioned in Q5.4?

Notes The question is aimed at establishing the kind of skills acquired during the programmes.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 264 103761.8 0.3% 2 No 235 89988.3 0.3% 8 Not applicable 70625 32305176.5 98.8% 9 Unspecified 506 197978.1 0.6% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q56bHome: Acquired skills: Home based care

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above and who participated in a job creation programme or expanded public works programme in the past 6 months.

Literal question Which skills (if any) did ………. acquired during participation in any of the programmes or project mentioned in Q5.4?

Notes The question is aimed at establishing the kind of skills acquired during the programmes.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 52 19706.5 0.1% 2 No 446 173863.1 0.5% 8 Not applicable 70625 32305176.5 98.8% 9 Unspecified 507 198158.8 0.6% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q56cChil: Acquired skills: Early childhood development

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above and who participated in a job creation programme or expanded public works programme in the past 6 months.

Literal question Which skills (if any) did ………. acquired during participation in any of the programmes or project mentioned in Q5.4?

Notes The question is aimed at establishing the kind of skills acquired during the programmes.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 15 6741.5 0.0% 2 No 483 186828.1 0.6% 8 Not applicable 70625 32305176.5 98.8% - 103 - # Q56cChil: Acquired skills: Early childhood development

Value Label Cases Weighted Percentage (Weighted) 9 Unspecified 507 198158.8 0.6% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q56dFore: Acquired skills: Forestry

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above and who participated in a job creation programme or expanded public works programme in the past 6 months.

Literal question Which skills (if any) did ………. acquired during participation in any of the programmes or project mentioned in Q5.4?

Notes The question is aimed at establishing the kind of skills acquired during the programmes.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 28 9173.6 0.0% 2 No 470 184395.9 0.6% 8 Not applicable 70625 32305176.5 98.8% 9 Unspecified 507 198158.8 0.6% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q56eAgri: Acquired skills: Agriculture and animal husbandry

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above and who participated in a job creation programme or expanded public works programme in the past 6 months.

Literal question Which skills (if any) did ………. acquired during participation in any of the programmes or project mentioned in Q5.4?

Notes The question is aimed at establishing the kind of skills acquired during the programmes.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 58 19150.0 0.1% 2 No 440 174419.6 0.5% 8 Not applicable 70625 32305176.5 98.8% 9 Unspecified 507 198158.8 0.6% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q56fNume: Acquired skills: Numeracy/ literacy

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above and who participated in a job creation programme or expanded public works programme in the past 6 months.

Literal question Which skills (if any) did ………. acquired during participation in any of the programmes or project mentioned in Q5.4?

Notes The question is aimed at establishing the kind of skills acquired during the programmes.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 16 6570.3 0.0% 2 No 482 186999.2 0.6% 8 Not applicable 70625 32305176.5 98.8% 9 Unspecified 507 198158.8 0.6% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

- 104 - # Q56gHiva: Acquired skills: HIV/AIDS awareness

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above and who participated in a job creation programme or expanded public works programme in the past 6 months.

Literal question Which skills (if any) did ………. acquired during participation in any of the programmes or project mentioned in Q5.4?

Notes The question is aimed at establishing the kind of skills acquired during the programmes.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 35 12747.3 0.0% 2 No 464 181693.5 0.6% 8 Not applicable 70625 32305176.5 98.8% 9 Unspecified 506 197287.5 0.6% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q56hCare: Acquired skills: Career awareness

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above and who participated in a job creation programme or expanded public works programme in the past 6 months.

Literal question Which skills (if any) did ………. acquired during participation in any of the programmes or project mentioned in Q5.4?

Notes The question is aimed at establishing the kind of skills acquired during the programmes.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 30 13166.1 0.0% 2 No 469 180505.1 0.6% 8 Not applicable 70625 32305176.5 98.8% 9 Unspecified 506 198057.2 0.6% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q56iBusn: Acquired skills: Business related

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above and who participated in a job creation programme or expanded public works programme in the past 6 months.

Literal question Which skills (if any) did ………. acquired during participation in any of the programmes or project mentioned in Q5.4?

Notes The question is aimed at establishing the kind of skills acquired during the programmes.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 50 21643.5 0.1% 2 No 449 172027.7 0.5% 8 Not applicable 70625 32305176.5 98.8% 9 Unspecified 506 198057.2 0.6% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

- 105 - # Q56jOthr: Acquired skills: Other

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above and who participated in a job creation programme or expanded public works programme in the past 6 months.

Literal question Which skills (if any) did ………. acquired during participation in any of the programmes or project mentioned in Q5.4?

Notes The question is aimed at establishing the kind of skills acquired during the programmes.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 36 14024.3 0.0% 2 No 460 178778.4 0.5% 8 Not applicable 70625 32305176.5 98.8% 9 Unspecified 509 198925.6 0.6% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q57Still: Still working in the job creation programme

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above and who participated in a job creation programme or expanded public works programme in the past 6 months.

Literal question Is …… still working/participating in the programme or project?

Notes The question is aimed at establishing the trend of people who participate in the programme.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 282 104634.4 0.3% 2 No 218 89908.0 0.3% 8 Not applicable 70625 32305176.5 98.8% 9 Unspecified 505 197185.9 0.6% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q58aSust: Benefit of participating: Permanent job

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above and who participated in a job creation programme or expanded public works programme in the past 6 months.

Literal question What, if any, were/are the benefits of participating in the programme or project mentioned in Q5.4?

Notes The question is aimed at establishing the benefits of attending these programmes.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 69 24948.5 0.1% 2 No 423 165794.9 0.5% 8 Not applicable 70625 32305176.5 98.8% 9 Unspecified 513 200985.0 0.6% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q58bStar: Benefit of participating: Start business

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above and who participated in a job creation programme or expanded public works programme in the past 6 months.

- 106 - # Q58bStar: Benefit of participating: Start business

Literal question What, if any, were/are the benefits of participating in the programme or project mentioned in Q5.4?

Notes The question is aimed at establishing the benefits of attending these programmes.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 58 21139.2 0.1% 2 No 435 169744.0 0.5% 8 Not applicable 70625 32305176.5 98.8% 9 Unspecified 512 200845.1 0.6% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q58cFurt: Benefit of participating: Further training

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above and who participated in a job creation programme or expanded public works programme in the past 6 months.

Literal question What, if any, were/are the benefits of participating in the programme or project mentioned in Q5.4?

Notes The question is aimed at establishing the benefits of attending these programmes.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 117 49974.8 0.2% 2 No 376 141639.7 0.4% 8 Not applicable 70625 32305176.5 98.8% 9 Unspecified 512 200113.8 0.6% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q58dTemp: Benefit of participating: Temporary work

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above and who participated in a job creation programme or expanded public works programme in the past 6 months.

Literal question What, if any, were/are the benefits of participating in the programme or project mentioned in Q5.4?

Notes The question is aimed at establishing the benefits of attending these programmes.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 229 85505.6 0.3% 2 No 264 106462.3 0.3% 8 Not applicable 70625 32305176.5 98.8% 9 Unspecified 512 199760.5 0.6% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q58eOthr: Benefit of participating: Other

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above and who participated in a job creation programme or expanded public works programme in the past 6 months.

Literal question What, if any, were/are the benefits of participating in the programme or project mentioned in Q5.4?

Notes The question is aimed at establishing the benefits of attending these programmes.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 40 21150.9 0.1%

- 107 - # Q58eOthr: Benefit of participating: Other

Value Label Cases Weighted Percentage (Weighted) 2 No 453 169769.6 0.5% 8 Not applicable 70625 32305176.5 98.8% 9 Unspecified 512 200807.9 0.6% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q61FarmA: Farming activity

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above.

Literal question Did …… grow or help to grow any produce, e.g. maize or other crops, vegetables or fruit, or keep, or help to keep, any stock, e.g. cattle, sheep, goats, horses, even chickens, for sale or for household use during the last 12 months?

Notes The question is aimed at establishing if people aged 15 years and above were involved in any agricultural activities, either for household consumption or for sale. The instruction is to go to (Q6.4) if the answer to this question is "No".

Value Label Cases Weighted Percentage (Weighted) 1 Yes 10800 4178687.7 12.8% 2 No 60487 28400636.2 86.9% 9 Unspecified 343 117580.9 0.4% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q62Sep06: Farming activity: September 2006

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were involved in agricultural activities in the 12 months prior to the interview.

Literal question During which months was …… engaged in growing produce or keeping stock in the last 12 months?

Notes This question is applicable to people that answered "Yes" in (Q6.1). The interest in this question is on the information regarding to the farming activities throughout the year.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 6685 2592734.8 7.9% 2 No 4044 1538047.5 4.7% 8 Not applicable 60487 28400636.2 86.9% 9 Unspecified 414 165486.3 0.5% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q62Oct06: Farming activity: October 2006

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were involved in agricultural activities in the 12 months prior to the interview.

Literal question During which months was …… engaged in growing produce or keeping stock in the last 12 months?

Notes This question is applicable to people that answered "Yes" in (Q6.1). The interest in this question is on the information regarding to the farming activities throughout the year.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 6257 2438376.3 7.5% 2 No 4473 1692672.3 5.2% 8 Not applicable 60487 28400636.2 86.9% 9 Unspecified 413 165219.9 0.5% - 108 - # Q62Oct06: Farming activity: October 2006 Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q62Nov06: Farming activity: November 2006

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were involved in agricultural activities in the 12 months prior to the interview.

Literal question During which months was …… engaged in growing produce or keeping stock in the last 12 months?

Notes This question is applicable to people that answered "Yes" in (Q6.1). The interest in this question is on the information regarding to the farming activities throughout the year.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 5855 2304924.4 7.0% 2 No 4875 1826130.1 5.6% 8 Not applicable 60487 28400636.2 86.9% 9 Unspecified 413 165214.0 0.5% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q62Dec06: Farming activity: December 2006

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were involved in agricultural activities in the 12 months prior to the interview.

Literal question During which months was …… engaged in growing produce or keeping stock in the last 12 months?

Notes This question is applicable to people that answered "Yes" in (Q6.1). The interest in this question is on the information regarding to the farming activities throughout the year.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 5505 2125960.1 6.5% 2 No 5224 2006834.8 6.1% 8 Not applicable 60487 28400636.2 86.9% 9 Unspecified 414 163473.7 0.5% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q62Jan07: Farming activity: January 2007

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were involved in agricultural activities in the 12 months prior to the interview.

Literal question During which months was …… engaged in growing produce or keeping stock in the last 12 months?

Notes This question is applicable to people that answered "Yes" in (Q6.1). The interest in this question is on the information regarding to the farming activities throughout the year.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 4993 1885833.6 5.8% 2 No 5734 2243423.7 6.9% 8 Not applicable 60487 28400636.2 86.9% 9 Unspecified 416 167011.3 0.5% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

- 109 - # Q62Feb07: Farming activity: February 2007

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were involved in agricultural activities in the 12 months prior to the interview.

Literal question During which months was …… engaged in growing produce or keeping stock in the last 12 months?

Notes This question is applicable to people that answered "Yes" in (Q6.1). The interest in this question is on the information regarding to the farming activities throughout the year.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 5248 1950944.9 6.0% 2 No 5479 2178542.1 6.7% 8 Not applicable 60487 28400636.2 86.9% 9 Unspecified 416 166781.6 0.5% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q62Mar07: Farming activity: March 2007

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were involved in agricultural activities in the 12 months prior to the interview.

Literal question During which months was …… engaged in growing produce or keeping stock in the last 12 months?

Notes This question is applicable to people that answered "Yes" in (Q6.1). The interest in this question is on the information regarding to the farming activities throughout the year.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 7005 2518103.8 7.7% 2 No 3715 1612990.1 4.9% 8 Not applicable 60487 28400636.2 86.9% 9 Unspecified 423 165174.7 0.5% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q62Apr07: Farming activity: April 2007

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were involved in agricultural activities in the 12 months prior to the interview.

Literal question During which months was …… engaged in growing produce or keeping stock in the last 12 months?

Notes This question is applicable to people that answered "Yes" in (Q6.1). The interest in this question is on the information regarding to the farming activities throughout the year.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 7764 2856023.2 8.7% 2 No 2962 1274683.2 3.9% 8 Not applicable 60487 28400636.2 86.9% 9 Unspecified 417 165562.2 0.5% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q62May07: Farming activity: May 2007

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

- 110 - # Q62May07: Farming activity: May 2007

Universe All members of the households in selected dwelling units aged 15 years and above who were involved in agricultural activities in the 12 months prior to the interview.

Literal question During which months was …… engaged in growing produce or keeping stock in the last 12 months?

Notes This question is applicable to people that answered "Yes" in (Q6.1). The interest in this question is on the information regarding to the farming activities throughout the year.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 8557 3219668.6 9.8% 2 No 2169 910135.6 2.8% 8 Not applicable 60487 28400636.2 86.9% 9 Unspecified 417 166464.4 0.5% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q62Jun07: Farming activity: June 2007

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were involved in agricultural activities in the 12 months prior to the interview.

Literal question During which months was …… engaged in growing produce or keeping stock in the last 12 months?

Notes This question is applicable to people that answered "Yes" in (Q6.1). The interest in this question is on the information regarding to the farming activities throughout the year.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 8476 3228571.0 9.9% 2 No 2256 904259.8 2.8% 8 Not applicable 60487 28400636.2 86.9% 9 Unspecified 411 163437.8 0.5% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q62Jul07: Farming activity: July 2007

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were involved in agricultural activities in the 12 months prior to the interview.

Literal question During which months was …… engaged in growing produce or keeping stock in the last 12 months?

Notes This question is applicable to people that answered "Yes" in (Q6.1). The interest in this question is on the information regarding to the farming activities throughout the year.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 7618 2921475.9 8.9% 2 No 3116 1211724.7 3.7% 8 Not applicable 60487 28400636.2 86.9% 9 Unspecified 409 163068.0 0.5% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q62Aug07: Farming activity: August 2007

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were involved in agricultural activities in the 12 months prior to the interview.

Literal question During which months was …… engaged in growing produce or keeping stock in the last 12 months?

- 111 - # Q62Aug07: Farming activity: August 2007

Notes This question is applicable to people that answered "Yes" in (Q6.1). The interest in this question is on the information regarding to the farming activities throughout the year.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 7002 2705768.5 8.3% 2 No 3728 1425518.7 4.4% 8 Not applicable 60487 28400636.2 86.9% 9 Unspecified 413 164981.4 0.5% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q63FarmW: Reason for farming

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were involved in agricultural activities in the 12 months prior to the interview.

Literal question Why does …… grow or help in growing farm produce or keep stock for the household?

Notes This question seeks the reasons for growing farm produce or keeping stock for the household as a way of establishing the extent to which the household depends on what it produces or if the household does these activities for leisure or as hobbies.

Value Label Cases Weighted Percentage (Weighted) 1 As a main source of food for the household 933 340890.9 1.0% 2 As the main source of income/earning a living 356 106637.7 0.3% 3 As an extra source of income 678 258488.5 0.8% 4 As an extra source of food for the household 8144 3224828.4 9.9% 5 As a leisure activity or hobby, e.g. gardening 494 170392.6 0.5% 8 Not applicable 60487 28400636.2 86.9% 9 Unspecified 538 195030.5 0.6% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q64Volun: Voluntary work

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above.

Literal question In the last 12 months, did …… do any uncompensated work for the benefit of a community, neighbourhood, or an interest group?

Notes This question seeks to establish if people were involved in any voluntary work where a person works for no pay. Usually people volunteer their services in churches, hospitals, old age homes, etc. Activities such as singing, ball playing, or hiking, are included only if they were performed primarily to benefit a broader group of people.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 3186 1533679.6 4.7% 2 No 68058 31026015.6 94.9% 9 Unspecified 386 137209.7 0.4% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q65aVday: Voluntary work: Help the sick

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were involved in uncompensated activities in the 12 months prior to the interview.

Literal question In which areas was the uncompensated work …… did in the last 12 months?

- 112 - # Q65aVday: Voluntary work: Help the sick

Notes This question is intended to find out what voluntary activities people were involved in for no pay in the twelve months prior to the interview.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 910 359160.3 1.1% 2 No 2248 1163782.1 3.6% 8 Not applicable 68058 31026015.6 94.9% 9 Unspecified 414 147946.8 0.5% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q65bMedC: Voluntary work: Medical care

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were involved in uncompensated activities in the 12 months prior to the interview.

Literal question In which areas was the uncompensated work …… did in the last 12 months?

Notes This question is intended to find out what voluntary activities people were involved in for no pay in the twelve months prior to the interview.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 569 241144.0 0.7% 2 No 2586 1280283.8 3.9% 8 Not applicable 68058 31026015.6 94.9% 9 Unspecified 417 149461.4 0.5% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q65cTrai: Voluntary work: Provision of training

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were involved in uncompensated activities in the 12 months prior to the interview.

Literal question In which areas was the uncompensated work …… did in the last 12 months?

Notes This question is intended to find out what voluntary activities people were involved in for no pay in the twelve months prior to the interview.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 291 182853.4 0.6% 2 No 2860 1336949.5 4.1% 8 Not applicable 68058 31026015.6 94.9% 9 Unspecified 421 151086.3 0.5% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q65dLawk: Voluntary work: Law and order

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were involved in uncompensated activities in the 12 months prior to the interview.

Literal question In which areas was the uncompensated work …… did in the last 12 months?

Notes This question is intended to find out what voluntary activities people were involved in for no pay in the twelve months prior to the interview.

- 113 - # Q65dLawk: Voluntary work: Law and order

Value Label Cases Weighted Percentage (Weighted) 1 Yes 358 152346.8 0.5% 2 No 2794 1368336.8 4.2% 8 Not applicable 68058 31026015.6 94.9% 9 Unspecified 420 150205.6 0.5% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q65eComu: Voluntary work: Maintenance of community resources

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were involved in uncompensated activities in the 12 months prior to the interview.

Literal question In which areas was the uncompensated work …… did in the last 12 months?

Notes This question is intended to find out what voluntary activities people were involved in for no pay in the twelve months prior to the interview.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 329 164952.3 0.5% 2 No 2822 1355373.5 4.1% 8 Not applicable 68058 31026015.6 94.9% 9 Unspecified 421 150563.4 0.5% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q65fOrge: Voluntary work: Organise cultural events

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were involved in uncompensated activities in the 12 months prior to the interview.

Literal question In which areas was the uncompensated work …… did in the last 12 months?

Notes This question is intended to find out what voluntary activities people were involved in for no pay in the twelve months prior to the interview.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 680 333561.8 1.0% 2 No 2474 1187499.4 3.6% 8 Not applicable 68058 31026015.6 94.9% 9 Unspecified 418 149828.0 0.5% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q65gColl: Voluntary work: Collect money

Information [Type= discrete] [Format=numeric] [Range= 1-8] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were involved in uncompensated activities in the 12 months prior to the interview.

Literal question In which areas was the uncompensated work …… did in the last 12 months?

Notes This question is intended to find out what voluntary activities people were involved in for no pay in the twelve months prior to the interview.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 519 257210.2 0.8%

- 114 - # Q65gColl: Voluntary work: Collect money

Value Label Cases Weighted Percentage (Weighted) 2 No 2634 1263770.8 3.9% 8 Not applicable 68058 31026015.6 94.9% 9 419 149908.3 0.5% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q65hFund: Voluntary work: Fund raising

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were involved in uncompensated activities in the 12 months prior to the interview.

Literal question In which areas was the uncompensated work …… did in the last 12 months?

Notes This question is intended to find out what voluntary activities people were involved in for no pay in the twelve months prior to the interview.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 254 153061.8 0.5% 2 No 2898 1367271.0 4.2% 8 Not applicable 68058 31026015.6 94.9% 9 Unspecified 420 150556.4 0.5% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Q65iOthr: Voluntary work: Something else

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Universe All members of the households in selected dwelling units aged 15 years and above who were involved in uncompensated activities in the 12 months prior to the interview.

Literal question In which areas was the uncompensated work …… did in the last 12 months?

Notes This question is intended to find out what voluntary activities people were involved in for no pay in the twelve months prior to the interview.

Value Label Cases Weighted Percentage (Weighted) 1 Yes 433 246530.5 0.8% 2 No 2722 1276350.7 3.9% 8 Not applicable 68058 31026015.6 94.9% 9 Unspecified 417 148008.0 0.5% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Sector: Sector of work

Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Literal question Derived variable: Derived from Questions 4.1 and 4.22.

Value Label Cases Weighted Percentage (Weighted) 1 Formal 18452 9832830.9 30.1% 2 Informal 5551 2569911.2 7.9% 3 Do not know 85 48183.4 0.1% 4 Domestic workers 2087 1028828.5 3.1% 8 Not applicable 45343 19127713.0 58.5% 9 Unspecified 112 89437.9 0.3%

- 115 - # Sector: Sector of work Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Indus: Main industry

Information [Type= discrete] [Format=numeric] [Range= 1-99] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Literal question Derived variable: Derived from Question 4.2.

Value Label Cases Weighted Percentage (Weighted) 1 Agriculture, hunting, forestry and fishing 3891 1103829.3 3.4% 2 Mining and quarrying 910 434470.2 1.3% 3 Manufacturing 3031 1775563.2 5.4% 4 Electricity, gas and water supply 164 102430.5 0.3% 5 Construction 2051 1076327.6 3.3% 6 Wholesale and retail trade 5740 3002241.3 9.2% 7 Transport, storage and communication 966 704338.6 2.2% 8 Financial intermediation, insurance, real estate 1801 1511356.5 4.6% and business services 9 Community, social and personal services 5137 2590059.2 7.9% 10 Private households 2506 1207323.6 3.7% 11 Exterior organisations and foreign government 8 4584.9 0.0% 88 Not applicable 45343 19127713.0 58.5% 99 Unspecified 82 56667.0 0.2% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Occup: Main occupation

Information [Type= discrete] [Format=numeric] [Range= 1-99] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Literal question Derived variable: Derived from Question 4.1.

Value Label Cases Weighted Percentage (Weighted) 1 Legislators, senior officials and managers 1451 1055508.1 3.2% 2 Professionals 1326 1025470.2 3.1% 3 Technical and associate professionals 2187 1365335.3 4.2% 4 Clerks 2149 1200497.6 3.7% 5 Service workers and shop and market sales 3056 1623792.7 5.0% workers 6 Skilled agricultural and fishery workers 1257 383892.0 1.2% 7 Craft and related trades workers 3455 1876405.5 5.7% 8 Plant and machine operators and assemblers 2389 1217067.4 3.7% 9 Elementary Occupation 6846 2744918.1 8.4% 10 Domestic workers 2087 1028828.5 3.1% 88 Not applicable 45343 19127713.0 58.5% 99 Unspecified 84 47476.6 0.1% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # IndusP: Previous industry

Information [Type= discrete] [Format=numeric] [Range= 1-99] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Literal question Derived variable. Derived from questions 3.8 and 3.11.

- 116 - # IndusP: Previous industry

Value Label Cases Weighted Percentage (Weighted) 1 Agriculture, hunting and forestry 3397 919755.0 2.8% 2 Mining 590 218126.4 0.7% 3 Manufacturing 1852 941730.0 2.9% 4 Electricity, gas and water 87 46763.7 0.1% 5 Construction 1216 496058.0 1.5% 6 Wholesale and retail trade 2731 1214350.9 3.7% 7 Transport, storage and communication 552 250270.2 0.8% 8 Finance and business services 732 435839.4 1.3% 9 Community, social and personal services 1826 864337.5 2.6% 10 Private households 4559 1549315.2 4.7% 11 Exterior organizations and foreign government 11 3929.0 0.0% 88 Not applicable 53834 25612956.3 78.3% 99 Unspecified 243 143473.3 0.4% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # OccuPrev: Previous occupation

Information [Type= discrete] [Format=numeric] [Range= 1-99] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Literal question Derived variable: Derived from questions 3.8 and 3.10.

Value Label Cases Weighted Percentage (Weighted) 1 Legislators, senior officials and managers 289 181704.4 0.6% 2 Professionals 295 188961.6 0.6% 3 Technical and associate professionals 664 342921.0 1.0% 4 Clerks 1197 639226.9 2.0% 5 Service workers and shop and market sales 1484 679366.9 2.1% workers 6 Skilled agricultural and fishery workers 1609 393531.5 1.2% 7 Craft and related trades workers 1880 844447.2 2.6% 8 Plant and machine operators and assemblers 1304 571013.3 1.7% 9 Elementary Occupation 4644 1688102.0 5.2% 10 Domestic workers 4184 1412832.7 4.3% 88 Not applicable 53834 25612956.3 78.3% 99 Occupation not elsewhere defined, Unspecified 246 141841.1 0.4% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # IncmGrp: Income group

Information [Type= discrete] [Format=numeric] [Range= 1-99] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Literal question Derived variable. Derived from questions 4.15.a, 4.15.b and 4.15.c.

Value Label Cases Weighted Percentage (Weighted) 1 NONE 1015 365209.4 1.1% 2 R1 - R200 Per Month 876 333530.1 1.0% 3 R201 - R500 Per Month 2146 845456.8 2.6% 4 R501 - R1 000 Per Month 5052 1983728.3 6.1% 5 R1 001 - R1 500 Per Month 3233 1447346.7 4.4%

- 117 - # IncmGrp: Income group

Value Label Cases Weighted Percentage (Weighted) 6 R1 501 - R2 500 Per Month 3838 2120739.6 6.5% 7 R2 501 - R3 500 Per Month 2167 1176455.5 3.6% 8 R3 501 - R4 500 Per Month 1512 873403.2 2.7% 9 R4 501 - R6 000 Per Month 1584 926643.5 2.8% 10 R6 001 - R8 000 Per Month 1221 704019.6 2.2% 11 R8 001 - R11 000 Per Month 1119 666511.2 2.0% 12 R11 001 - R16 000 Per Month 666 437371.9 1.3% 13 R16 001 - R30 000 Per Month 403 343394.1 1.1% 14 R30 001 or more Per Month 166 286978.0 0.9% 15 Do not know 375 300552.2 0.9% 16 Refuse 734 598186.5 1.8% 88 Not applicable 45322 19121853.6 58.5% 99 Unspecified 201 165524.5 0.5% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Status1: Official unemployment definition

Information [Type= discrete] [Format=numeric] [Range= 0-2] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Literal question Derived from a logical series of questions: see metadata

Notes According to the official unemployment definition, a person must satisfy the following three conditions: The person did not work during the seven days prior to the survey interview, and does not have any job attachment; Wants to work and is available to start work within 2 weeks; Has taken active steps to look for work or to start own business in the 4 weeks prior to the interview.

Value Label Cases Weighted Percentage (Weighted) 0 Not economically active 36862 15211587.9 46.5% 1 Employed 26287 13569191.8 41.5% 2 Unemployed 8481 3916125.2 12.0% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # Status2: Expanded unemployment definition

Information [Type= discrete] [Format=numeric] [Range= 0-2] [Missing=*]

Statistics [NW/ W] [Valid=71630 / 32696904.8 ] [Invalid=0 / 0 ]

Literal question Derived from a logical series of questions: See metadata

Notes According to the expanded unemployment definition, a person must satisfy the following two conditions: The person did not work during the seven days prior to the survey interview, and does not have any job attachment; Wants to work and is available to start work within 2 weeks.

Value Label Cases Weighted Percentage (Weighted) 0 Not economically active 28952 11759047.2 36.0% 1 Employed 26287 13569191.8 41.5% 2 Unemployed 16391 7368665.8 22.5% Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest. # workers_wgt: Weight

Information [Type= discrete] [Format=numeric] [Range= 4.8988-17680.073] [Missing=*]

Statistics [NW/ W] [Valid=71630 /-] [Invalid=0 /-]

- 118 -