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    Home / Central Data Catalog / WLD_2017_RERS_V01_M / variable [F2]
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Rapid Emergency Response Survey 2017, Pilot Project

Somalia, South Sudan, Yemen, Rep., 2017
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Reference ID
WLD_2017_RERS_v01_M
DOI
https://doi.org/10.48529/gmpv-6r74
Producer(s)
Utz Pape
Collection(s)
Fragility, Conflict and Violence
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jan 15, 2019
Last modified
May 24, 2021
Page views
40514
Downloads
3177
  • Study Description
  • Data Description
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  • Data files
  • assets_CleanOutput
  • hh_CleanOutput
  • assets_CleanInput
  • hh_CleanInput

3_Oth. Specify the other (em_03_oth)

Data file: hh_CleanOutput

Overview

Valid: 72
Invalid: 0
Type: Discrete
Range: -
Format: character

Questions and instructions

Literal question
Oth. Specify the other
Categories
Value Category Cases
A private company 1
1.4%
An older relative (grandfather) 1
1.4%
Breeding sheep 1
1.4%
Carwash 1
1.4%
Darawal 2
2.8%
Darawal bajaj 1
1.4%
Dhagax dhismo 1
1.4%
Dhar dhaqid 1
1.4%
Export 1
1.4%
Farsamo gacan 2
2.8%
Fighting on the front-lines 1
1.4%
Free time 1
1.4%
Fuundi 1
1.4%
Govornment Salary 1
1.4%
He was doing nothing 1
1.4%
Macalin 1
1.4%
Makanik 1
1.4%
No income 1
1.4%
Qaadle 1
1.4%
Salary/stipend 1
1.4%
Sells Qat (mild narcotic commonly chewed in Yemen) 1
1.4%
Shaqaale NGO 1
1.4%
Soldier 2
2.8%
Suuqley 1
1.4%
There is none 1
1.4%
Unemployed 1
1.4%
Works in a shop 1
1.4%
Xawilad 1
1.4%
Xoogsato 1
1.4%
armed forces 1
1.4%
baagamuudo 1
1.4%
baking 1
1.4%
bussnues 1
1.4%
buy cattle 1
1.4%
civil engineering 1
1.4%
contractor 1
1.4%
education 1
1.4%
employee government 1
1.4%
engerneier 1
1.4%
food 2
2.8%
food electricity water 1
1.4%
hand works gifts shop 1
1.4%
handiwork (skilled handiwork labor in multiple fields) 1
1.4%
ku xamaalid duudka ah . 1
1.4%
livestock 1
1.4%
no 1
1.4%
none 2
2.8%
nothing 8
11.1%
salary 1
1.4%
school 1
1.4%
security 1
1.4%
studying 1
1.4%
taxi driver 1
1.4%
trade 1
1.4%
trading 1
1.4%
transportation 1
1.4%
unemployed 2
2.8%
university 1
1.4%
worker 1
1.4%
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.
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