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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / NPL_2016-2018_HRVS_V01_EN_M_V01_A_OCS / variable [F230]
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
Page views
176213
Downloads
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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

Name of VDC (vdc)

Data file: Section_13a

Overview

Valid: 446
Invalid: 0
Type: Discrete
Start: 8
End: 32
Width: 25
Range: -
Format: character

Questions and instructions

Literal question
Name of VDC
Categories
Value Category Cases
Aekamba 12
2.7%
Aginchok 1
0.2%
Amahi bariyati 9
2%
Amalachaur 1
0.2%
Amraut 1
0.2%
Anarmani 4
0.9%
Arthunge 1
0.2%
Bagaha 1
0.2%
Baijanathpur 5
1.1%
Banouta 1
0.2%
Barahachhetra 11
2.5%
Belbari 7
1.6%
Belhara 1
0.2%
Belhichapena 4
0.9%
Bhamchaur 3
0.7%
Bharaul 13
2.9%
Bhotasipa 1
0.2%
Bhulke 1
0.2%
Bijayaswori (Chaurjahari) 1
0.2%
Bisalpur 6
1.3%
Boniya 4
0.9%
Bramhatola 1
0.2%
Chameta 7
1.6%
Charpane 3
0.7%
Chaulahi 3
0.7%
Chhinnamasta 8
1.8%
Chisapani 1
0.2%
Dainiya 7
1.6%
Danabari 5
1.1%
Darling 1
0.2%
Deulekh 1
0.2%
Deuri Parbaha 1
0.2%
Devisthan 1
0.2%
Dharna 3
0.7%
Dhitung 1
0.2%
Dhuskee 10
2.2%
Drabesh 13
2.9%
Durgasthan 1
0.2%
Duwagadhi 2
0.4%
Fatepur 6
1.3%
Gadhawa 5
1.1%
Gaidakot 2
0.4%
Gajurmukhi 4
0.9%
Ganeshthan 3
0.7%
Goganpani 1
0.2%
Halwar 1
0.2%
Hasandaha 2
0.4%
Hatiya 1
0.2%
Hekuli 2
0.4%
Hunainath 2
0.4%
Hungi 2
0.4%
Isma Rajasthal 1
0.2%
Itahara 5
1.1%
ItahariBishnupur 7
1.6%
Jalapadevi 1
0.2%
Jogmai 6
1.3%
Juming 1
0.2%
Jyamdi Mandan 1
0.2%
Jyamrung 2
0.4%
Kanchanpur 8
1.8%
Kaptanganj 12
2.7%
Keroun 10
2.2%
Khailad 1
0.2%
Khalte 2
0.4%
Khiratadi 2
0.4%
Khudunabari 2
0.4%
Kushkot 1
0.2%
Lalmatiya 4
0.9%
Lalutantikot 2
0.4%
Madhawapur 1
0.2%
Madhumalla 1
0.2%
Madhyeharsahi 11
2.5%
Mahamai 2
0.4%
Malakheti 1
0.2%
Mane Bhanjyang 3
0.7%
Mohanpur 21
4.7%
Murtidhunga 2
0.4%
Nandegada 2
0.4%
Naubasta 2
0.4%
NayaBazar 3
0.7%
Necha Batase 2
0.4%
Nilkantha 5
1.1%
Pakali 7
1.6%
Pathari 1
0.2%
Pawan Nagar 1
0.2%
Phakumba 1
0.2%
PhikalBazar 8
1.8%
Phulwari 1
0.2%
Pipalchauri 4
0.9%
Piprahawa 1
0.2%
Portaha 4
0.9%
Rajpur 2
0.4%
Rakam Karnali 1
0.2%
Rakhu Bhagawati 2
0.4%
Ramganj Belgachhi 7
1.6%
Rangeli 10
2.2%
Rupauliya 1
0.2%
Sadepani 1
0.2%
Sainpasela 4
0.9%
Samalbung 4
0.9%
Sangkosh 3
0.7%
Sanischare 1
0.2%
SanoDumma 2
0.4%
Sanwa 3
0.7%
Satbariya 1
0.2%
Shantipur 1
0.2%
Shreepur Chhatiwan 1
0.2%
Sijuwa 6
1.3%
Simraha Sigiyoun 6
1.3%
Singiya 14
3.1%
Sisahaniya 1
0.2%
Souraha Pharsatika 1
0.2%
Soyang 4
0.9%
Sunwal 1
0.2%
Takuwa 11
2.5%
Tarigaun 2
0.4%
Thakre 1
0.2%
Thoksila 2
0.4%
Uku 2
0.4%
Urlabari 7
1.6%
Valayadanda 1
0.2%
Vedetar 2
0.4%
Yangpang 1
0.2%
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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