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General Household Survey 2004

South Africa, 2004
Reference ID
ZAF_2004_GHS_v01_M
Producer(s)
Statistics South Africa
Metadata
DDI/XML JSON
Created on
Apr 25, 2019
Last modified
Apr 25, 2019
Page views
5133
  • Study Description
  • Data Description
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  • Data Files
  • agriculture
  • agriculture_a
  • agriculture_b
  • agriculture_c
  • agriculture_d
  • agriculture_e
  • agriculture_f
  • agriculture_g
  • agriculture_h
  • anthropo_a
  • anthropo_b
  • anthropo_c
  • assets_1
  • assets_1_8
  • assets_1_17
  • assets_2
  • assets_2_1
  • assets_2_5
  • assets_2_11
  • assets_3
  • assets_4
  • assets_4_7
  • assets_4_13
  • assets_5
  • assets_6
  • assets_6_6
  • assets_6_12
  • assets_7
  • consump
  • consump_item
  • education
  • educexp
  • educexp_2
  • health_abd
  • health_c
  • health_c_I
  • health_c_II
  • health_c_III
  • health_c_IV
  • hhattrition
  • hhroster_3
  • hhroster_4a
  • hhroster_4b
  • housing
  • housing_2
  • identification
  • income
  • iroster
  • kb
  • kb_4
  • marriage
  • marriage_a
  • marriage_b
  • mortality
  • mortality_a
  • mortality_b
  • mortality_c
  • mortality_d
  • shocks_a
  • shocks_a_3
  • shocks_a_7
  • shocks_a_11
  • shocks_a_15
  • shocks_a_19
  • shocks_a_24
  • shocks_b
  • shocks_b_30
  • shocks_b_33
  • shocks_b_40
  • shocks_c
  • shocks_c_45
  • shocks_c_49
  • shocks_c_53
  • timealloc
  • timerisk
  • transfers
  • transfers_a_2
  • transfers_a_10
  • transfers_b
  • transfers_d_2
  • transfers_d_8
  • transfers_d_15
  • transfers_d_21
  • youth
CSV JSON

What did do for this work (inb02)

Data file: income

Overview

Valid: 2191
Invalid: 2187
Minimum: 1
Maximum: 99
Mean: 22.776
Standard deviation: 26.388
Type: Continuous
Decimal: 0
Range: -
Format:

Questions and instructions

Literal question
What did [NAME] do in this work? What kind of trade, industry or business is it connected with?
Categories
Value Category
1 Crop farmer
2 Animal farmer
3 Housewife
4 Trader/merchant/salesperson
5 Transport worker
6 Construction worker
7 Teacher/education professional
8 Health professional/TBA/trad. Healer
9 Secretary/clerical
10 Factory worker
11 Restaurant/bar/hotel
12 Skilled trades (carpenter, tailor, etc.)
13 Preacher/pastor
14 Village elder
15 Domestic worker
16 Civil Servant/Government
17 Other (specify)
41 Operating Kiosk/Duka
42 Trading (buying & selling) vegetables
43 Trading chickens, eggs, etc.
44 Trading clothes (mtumba)
45 Trading milk
46 Making local brew / beer
47 Boda-boda operator
88 No activity/unemployed
99 Don’t Know
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.
Question post text
If more than one job of this type, choose the one that they spent the most time on in the past 6 months.

Description

Universe
All hosuehold members who worked as an employee in the past 7 days.
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