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General Household Survey 2007

South Africa, 2007
Reference ID
ZAF_2007_GHS_v01_M
Producer(s)
Statistics South Africa
Metadata
DDI/XML JSON
Created on
Apr 25, 2019
Last modified
Apr 25, 2019
Page views
948
  • Study Description
  • Data Description
  • Get Microdata
  • Data Files
  • Mainland_ClusterMaster
  • Mainland_District
  • Mainland_HHAsset
  • Mainland_HHData
    - Public Use
  • Mainland_HHEconActivity
  • Mainland_HHLivestock
  • Mainland_HHmember
    - Public Use
  • Mainland_HHOtherDescription
  • Mainland_HHsamplerecord
    - Public Use
  • Mainland_HHTransportMethod
  • Mainland_Kitongoji
    - Public Use
  • Mainland_LoLScenario
  • Mainland_CP_Agriculture
  • Mainland_CP_CashCrop
  • Mainland_CP_CommunityData
    - Public Use
  • Mainland_CP_Goods_Food
  • Mainland_CP_Goods_NonFood
  • Mainland_CP_Health_Meds
    - Public Use
  • Mainland_CP_Health_Profs
    - Public Use
  • Mainland_CP_Health_Services
    - Public Use
  • Mainland_CP_Location
    - Public Use
  • Mainland_CP_OtherDescription
  • Mainland_CP_Services
    - Public Use
  • Mainland_CP_Traffic
  • Mainland_CP_Transport
    - Public Use
  • Mainland_Kitongoji
    - Public Use
  • Mainland_P_Infrastructure
    - Public Use
  • Pemba_ClusterMaster
    - Public Use
  • Pemba_ConsumptionCategory
  • Pemba_ConsumptionItem
  • Pemba_FoodItem
  • Pemba_FoodItemUnit
  • Pemba_FoodUnit
  • Pemba_HHAsset
  • Pemba_HHChild
  • Pemba_HHConsData
  • Pemba_HHCredit
    - Public Use
  • Pemba_HHCrop
  • Pemba_HHData -
    Public Use
  • Pemba_HHDuration
  • Pemba_HHEnterprise
    - Public Use
  • Pemba_HHFoodConsData
  • Pemba_HHLabour
  • Pemba_HHLivestock
  • Pemba_HHmember
    - Public Use
  • Pemba_HHOtherDescription
  • Pemba_HHPriceData
  • Pemba_HHPrivTransfers
  • Pemba_HHSampleRecord
    - Public Use
  • Pemba_HHShock
  • Pemba_HHTransGroup
  • Pemba_HHTransportMethod
  • Pemba_ClusterMaster
  • Pemba_CP_Agriculture
  • Pemba_CP_CashCrop
    - Public Use
  • Pemba_CP_CommunityData
    - Public Use
  • Pemba_CP_Goods_Food
  • Pemba_CP_Goods_NonFood
  • Pemba_CP_Health_Meds
    - Public Use
  • Pemba_CP_Health_Profs
    - Public Use
  • Pemba_CP_Health_Services
    - Public Use
  • Pemba_CP_Location
    - Public Use
  • Pemba_CP_OtherDescription
  • Pemba_CP_PoliticalInv
  • Pemba_CP_Services
    - Public Use
  • Pemba_CP_TimeStampData
  • Pemba_CP_Traffic
  • Pemba_CP_Transport
    - Public Use
  • Pemba_District
  • Pemba_vKitongoji
    - Public Use
CSV JSON

How much expenditure information for [NAME?] not captured in what was mentioned? (T5GQ1)

Data file: Pemba_HHmember - Public Use

Overview

Valid: 7338
Invalid: 7
Type: Discrete
Decimal: 0
Range: -
Format:

Questions and instructions

Literal question
How much expenditure information for [NAME?] is not captured in what you have mentioned to me?
Categories
Value Category
1 All
2 Most
3 Some
4 Less than half
5 Just a small amount
6 None
Sysmiss
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.
Interviewer instructions
You will encounter situations where the respondent cannot tell you about the non-food expenditures of one of the household members. Your first strategy should always be to have the respondent make an estimate, but if that is not possible then the expenditures of one of the members will be excluded. Question T6fQ1 aims to capture whether this has happened.
Note that the question is in NEGATION form, i.e. it asks how much expenditure information is NOT captured in what the respondent mentioned to you. You should READ ALL RESPONSES in this question.

A realistic situation could be that the household head is absent from the household and only visits during weekends. The respondent may then not know and refuse to guess how much the household head spends on non-food items. If this is the case, select in T6fQ1 how much of the head’s expenditure is missing.

In case the respondent knew all of the expenditures of the household member, select ‘none’ for field T6fQ1.
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