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    Home / Food and Agriculture Microdata Catalogue / EMERGENCIES-MONITORING-SURVEYS / SSD_2022_DEMHS-R3_V01_EN_M_V01_A_OCS / variable [F3]
Emergencies-Monitoring-Surveys

Data in Emergencies Monitoring Household Survey – Round 3, South Sudan, 2022

South Sudan, 2022
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Reference ID
SSD_2022_DEMHS-R3_v01_EN_M_v01_A_OCS
Producer(s)
Food and Agriculture Organization of the United Nations, Data in Emergencies Hub
Collections
Data in Emergencies Monitoring Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 23, 2023
Last modified
Oct 23, 2023
Page views
6919
  • Study Description
  • Data Dictionary
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  • Data files
  • data_anon

What has been your household's second most important source of income in the past 3 months? (income_sec)

Data file: data_anon

Overview

Valid: 3079
Type: Discrete
Width: 101
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Collection and sale of forestry or bush products 291
9.5%
Daily wage on farms and other casual employment in agricultural sector 105
3.4%
Don't know 10
0.3%
Formal agricultural trade excluding producers 11
0.4%
Income not derived from work, charity 21
0.7%
Income not derived from work, income from other rents 8
0.3%
Income not derived from work, remittances 12
0.4%
Income not derived from work, welfare transfer, pension, humanitarian aid 17
0.6%
Informal agricultural trade excluding producers 127
4.1%
No second most important source of income 1256
40.8%
Non-agricultural self-employed or liberal profession, doctor, architect, lawyer, including restaurant 52
1.7%
Off-farm daily wages and other non-agricultural casual employment 92
3%
Production and sale of cashcrops 144
4.7%
Production and sale of fish 97
3.2%
Production and sale of livestock and livestock products 280
9.1%
Production and sale of vegetable or fruit 217
7%
Production and sales of staple crops 207
6.7%
Public employment 56
1.8%
Refused 37
1.2%
Stable employment in agricultural sector 9
0.3%
Stable employment in non-agricultural sector 30
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.
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