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    Home / Food and Agriculture Microdata Catalogue / EMERGENCIES-MONITORING-SURVEYS / YEM_2022_DIEM-HS-R4_V01_EN_M_V01_A_ESS / variable [V21]
Emergencies-Monitoring-Surveys

Data in Emergencies (DIEM) Monitoring Household Survey – Round 4, Yemen, 2022

Yemen, 2022
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Reference ID
YEM_2022_DIEM-HS-R4_v01_EN_M_v01_A_ESS
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
Apr 15, 2024
Last modified
Apr 17, 2024
Page views
9730
  • Study Description
  • Data Dictionary
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  • Data files
  • Yem_R4_anon

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

Data file: Yem_R4_anon

Overview

Valid: 2452
Type: Discrete
Width: 101
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Collection and sale of forestry or bush products 6
0.2%
Daily wage on farms and other casual employment in agricultural sector 25
1%
Do not know 7
0.3%
Formal agricultural trade excluding producers 1
0%
Income not derived from work, charity 8
0.3%
Income not derived from work, income from other rents 7
0.3%
Income not derived from work, remittances 24
1%
Income not derived from work, welfare transfer, pension, humanitarian aid 75
3.1%
Informal agricultural trade excluding producers 12
0.5%
No second most important source of income 1841
75.1%
Non-agricultural self-employed or liberal profession, doctor, architect, lawyer, including restaurant 75
3.1%
Off-farm daily wages and other non-agricultural casual employment 120
4.9%
Production and sale of cashcrops 19
0.8%
Production and sale of fish 9
0.4%
Production and sale of livestock and livestock products 101
4.1%
Production and sale of vegetable or fruit 11
0.4%
Production and sales of staple crops 25
1%
Public employment 47
1.9%
Refused 20
0.8%
Stable employment in agricultural sector 3
0.1%
Stable employment in non-agricultural sector 16
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.
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