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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / NPL_2016-2018_HRVS_V01_EN_M_V01_A_OCS / variable [F243]
agricultural-surveys

Household Risk and Vulnerability Survey 2016-2018

Nepal, 2016 - 2018
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Reference ID
NPL_2016-2018_HRVS_v01_EN_M_v01_A_OCS
Producer(s)
The World Bank
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 06, 2020
Last modified
Nov 08, 2022
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  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • Section_0
  • Section_1
  • Section_2
  • Section_3a
  • Section_3b
  • Section_4a
  • Section_4b
  • Section_5
  • Section_0
  • Section_1
  • Section_2
  • Section_3
  • Section_4
  • Section_5a
  • Section_5b
  • Section_6a
  • Section_6b
  • Section_6c
  • Section_6d
  • Section_7
  • Section_8
  • Section_9a1
  • Section_9a2
  • Section_9a3
  • Section_9a4
  • Section_9b1
  • Section_9b2
  • Section_9c
  • Section_9d
  • Section_9e
  • Section_9f
  • Section_10
  • Section_11
  • Section_12a
  • Section_12b
  • Section_12c
  • Section_12d
  • Section_13a
  • Section_13b
  • Section_13c
  • Section_13d
  • Section_14a
  • Section_14b
  • Section_14c
  • Section_15a
  • Section_15b
  • Section_17
  • Section_0
  • Section_1
  • Section_2
  • Section_3a
  • Section_3b
  • Section_5
  • Section_0
  • Section_2
  • Section_3
  • Section_4
  • Section_5a
  • Section_5b
  • Section_6a
  • Section_6b
  • Section_6c
  • Section_6d
  • Section_7
  • Section_8
  • Section_9a1
  • Section_9a2
  • Section_9a3
  • Section_9a4
  • Section_9b1
  • Section_9b2
  • Section_9c
  • Section_9d
  • Section_9e
  • Section_9f
  • Section_10
  • Section_11
  • Section_12a
  • Section_12b
  • Section_12c
  • Section_12d
  • Section_13a
  • Section_13b
  • Section_13c
  • Section_13d
  • Section_14a
  • Section_14b
  • Section_14c
  • Section_15a
  • Section_15b
  • Section_16
  • Section_17
  • Section_0
  • Section_1
  • Section_2
  • Section_3a
  • Section_3b
  • Section_4a
  • Section_4b
  • Section_5
  • Section_0
  • Section_1
  • Section_2
  • Section_3
  • Section_4
  • Section_5a
  • Section_5b
  • Section_6a
  • Section_6b
  • Section_6c
  • Section_6d
  • Section_7
  • Section_8
  • Section_9a1
  • Section_9a2
  • Section_9a3
  • Section_9a4
  • Section_9b1
  • Section_9b2
  • Section_9c
  • Section_9d
  • Section_9e
  • Section_9f
  • Section_10
  • Section_11
  • Section_12a
  • Section_12b
  • Section_12c
  • Section_12d
  • Section_13a
  • Section_13b
  • Section_13c
  • Section_13d
  • Section_14a
  • Section_14c
  • Section_15b
  • Section_16
  • Section_17
  • Section_16
  • Section_4a
  • Section_4b
  • Section_1
  • Section_11a
  • Section_14b
  • Section_15a

3rd most popular migration destination in the last 10 years (s02q03c)

Data file: Section_2

Overview

Valid: 400
Invalid: 0
Type: Discrete
Start: 130
End: 158
Width: 29
Range: -
Format: character

Questions and instructions

Literal question
2.03c. Third most popular migration destination in last 10 years.
Categories
Value Category Cases
America 1
0.3%
Austrailiya 1
0.3%
Bahrain 2
0.5%
Bardibas 4
1%
Bharat 1
0.3%
Bhartpur 1
0.3%
Biratnagar 4
1%
Birgunj 2
0.5%
Butwal 5
1.3%
Butwol 1
0.3%
Charikot 1
0.3%
Chitawan 1
0.3%
Chitwan 4
1%
Dang 1
0.3%
Dhading 1
0.3%
Dhangadhi 1
0.3%
Dharan 2
0.5%
Dolakha 1
0.3%
Dubai 27
6.8%
Duhabi 3
0.8%
Gaidakote 1
0.3%
Gulf Country 1
0.3%
Gulf Country 4
1%
Gulf country 2
0.5%
Hetauda 1
0.3%
Illam 1
0.3%
India 18
4.5%
Itahari 1
0.3%
Japan 6
1.5%
Jhapa 1
0.3%
Kathmandu 37
9.3%
Kathmandu,Surkhet 1
0.3%
Kathmandu,birgunj,pokhara 1
0.3%
Kathmandu,surkhet,Nepalguj. 1
0.3%
Kavre 1
0.3%
Khadi muluk 1
0.3%
Khari muluk 1
0.3%
Korea 4
1%
Koria 1
0.3%
Kuwait 1
0.3%
Lamjung 1
0.3%
Mahendranager 2
0.5%
Malasiya 2
0.5%
Malaysia 24
6%
Malaysiya 3
0.8%
Maleasiya 1
0.3%
Maleshiya 2
0.5%
Malesia 1
0.3%
Malesiya 11
2.8%
Narayanghat 4
1%
Naryanghate 4
1%
Nepal 1
0.3%
Nepalgung 1
0.3%
Nepalgunj 1
0.3%
Okhaldhung 1
0.3%
Ouatar 3
0.8%
Parasi 1
0.3%
Piparavita 1
0.3%
Pokhara 7
1.8%
Pokhra 1
0.3%
Qatar 29
7.3%
Qtar 3
0.8%
Quatar 8
2%
Quater 1
0.3%
Qutar 6
1.5%
Quwet 1
0.3%
Rajbiraj 2
0.5%
Rajbiraj,bharadah,kanchanpur, 1
0.3%
Rajbiraj,fatepur,mauli 1
0.3%
Rajbiraj,kanchanpur,rupani 1
0.3%
Rupandehi 1
0.3%
Saudi 8
2%
Saudi Arabia 6
1.5%
Saudi arab 1
0.3%
Saudiarab 6
1.5%
Saudiarabia 8
2%
Saudiararebia 1
0.3%
Siraha 1
0.3%
South Koriya 1
0.3%
Sunsari 1
0.3%
Tanahun 2
0.5%
Tarai 1
0.3%
UAE 12
3%
Uae 2
0.5%
Udayapur 1
0.3%
United Arab Emirates 1
0.3%
ahijillako aru thauma 1
0.3%
anyamuluk 1
0.3%
australia 1
0.3%
bharat 2
0.5%
bides 1
0.3%
butwal 2
0.5%
dubai 1
0.3%
gulf country 1
0.3%
india 4
1%
janakpur 1
0.3%
jankpur 1
0.3%
jila bhitrai 1
0.3%
jilla aspasko gaupalika 1
0.3%
jilla bhitra 1
0.3%
kabrepalanchok 1
0.3%
kabrepalanchook 2
0.5%
kabreplanchok 1
0.3%
kaski 1
0.3%
kathmandu 18
4.5%
kathmandu, 1
0.3%
kathmandu,dolakha. 1
0.3%
kathmandu,surkhet 1
0.3%
khadi muluk 1
0.3%
khadimulak 1
0.3%
khadimuluk 3
0.8%
khanar, duhabi 1
0.3%
korea 2
0.5%
lalbandi 1
0.3%
lumbni 1
0.3%
malaysia 1
0.3%
maleasiya 1
0.3%
maleshaya 1
0.3%
maleshiya 1
0.3%
malesiya,Qatar,saudi,Dubai 1
0.3%
murgiya 1
0.3%
narayanghat 1
0.3%
pokhara 1
0.3%
pokhra 1
0.3%
quatar 2
0.5%
saudi 1
0.3%
sindhupalchok 1
0.3%
sindhupalchook 3
0.8%
surkhet 1
0.3%
tirsuli 1
0.3%
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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