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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / NPL_2016-2018_HRVS_V01_EN_M_V01_A_OCS / variable [F279]
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
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  • Study Description
  • Data Dictionary
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  • Data files
  • Section_0
  • Section_1
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  • Section_4a
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  • Section_5
  • Section_0
  • Section_1
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  • Section_4
  • Section_5a
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  • 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
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  • Section_3a
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  • Section_5
  • Section_0
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  • Section_5a
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  • Section_6a
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  • Section_6c
  • Section_6d
  • Section_7
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  • Section_9a1
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  • Section_9a3
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  • Section_9b1
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  • Section_9c
  • Section_9d
  • Section_9e
  • Section_9f
  • Section_10
  • Section_11
  • Section_12a
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  • Section_12c
  • Section_12d
  • Section_13a
  • Section_13b
  • Section_13c
  • Section_13d
  • Section_14a
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  • 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

Caste of the recipient (s13q03)

Data file: Section_13a

Overview

Valid: 811
Invalid: 0
Type: Discrete
Decimal: 2
Start: 34
End: 39
Width: 6
Range: 1 - 104
Format: Numeric

Questions and instructions

Literal question
13.3. What is the caste of the recipient?
Categories
Value Category Cases
1 CHHETRI 176
21.7%
2 BRAHMAN (HILL) 114
14.1%
3 MAGAR 70
8.6%
4 THARU 54
6.7%
5 TAMANG 24
3%
6 NEWAR 29
3.6%
7 MUSLIM 8
1%
8 KAMI 28
3.5%
9 YADAV 2
0.2%
10 RAI 17
2.1%
11 GURUNG 73
9%
12 DAMAIN/DHOLI 11
1.4%
13 LIMBU 43
5.3%
14 THAKURI 18
2.2%
15 SARKI 10
1.2%
16 TELI 2
0.2%
17 CHAMAR/HARIJAN/RAM 2
0.2%
18 KOIRI 5
0.6%
19 KURMI 0
0%
20 SANYASI 1
0.1%
21 DHANUK 2
0.2%
22 MUSAHAR 9
1.1%
23 DUSADH/PASWAN/PASI 0
0%
24 SHERPA 15
1.8%
25 SONAR 1
0.1%
26 KEWAT 1
0.1%
27 BRAHMAN (TARAI) 25
3.1%
28 BANIYA 0
0%
29 GHARTI/BHUJEL 1
0.1%
30 MALLAH 1
0.1%
31 KALWAR 0
0%
32 KUMAL 3
0.4%
33 HAJAM/THAKUR 1
0.1%
34 KANU 0
0%
35 RAJBANSI 40
4.9%
36 SUNUWAR 2
0.2%
37 SUDHI 0
0%
38 LOHAR 1
0.1%
39 TATMA 5
0.6%
40 KHATWE 0
0%
41 DHOBI 0
0%
42 MAJHI 0
0%
43 NUNIYA 0
0%
44 KUMHAR 0
0%
45 DANUWAR 0
0%
46 CHEPANG/PRAJA 2
0.2%
47 HALUWAI 1
0.1%
48 RAJPUT 0
0%
49 KAYASTHA 0
0%
50 BADHAE 0
0%
51 MARWADI 0
0%
52 SANTHAL/SATAR 0
0%
53 DHAGAR/JHAGAR 2
0.2%
54 BANTAR 3
0.4%
55 BARAE 0
0%
56 KAHAR 0
0%
57 GANGAI 0
0%
58 LODH 0
0%
59 RAJBHAR 0
0%
60 THAMI 0
0%
61 DHIMAL 2
0.2%
62 BHOTE 0
0%
63 BING/BINDA 0
0%
64 BHEDIYAR/GADERI 0
0%
65 NURANG 0
0%
66 YAKKHA 0
0%
67 DARAI 0
0%
68 TAJPURIYA 0
0%
69 THAKALI 0
0%
70 CHIDIMAR 0
0%
71 PAHARI 0
0%
72 MALI 0
0%
73 BANGALI 0
0%
74 CHHANTAL 0
0%
75 DOM 0
0%
76 KAMAR 0
0%
77 BOTE 0
0%
78 BRAHMU/BARAMU 0
0%
79 GAINE 0
0%
80 JIREL 0
0%
81 ADIBASI/JANAJATI 2
0.2%
82 DURA 0
0%
83 CHURAUTE 0
0%
84 BADI 0
0%
85 MECHE 0
0%
86 LEPCHA 0
0%
87 HALKHOR 0
0%
88 PUNJABI/SIKH 0
0%
89 KISAN 0
0%
90 RAJI 0
0%
91 BYANGSI 0
0%
92 HAYU 0
0%
93 KOCHE 0
0%
94 DHUNIA 0
0%
95 WALUNG 0
0%
96 JAIN 0
0%
97 MUNDA 0
0%
98 RAUTE 0
0%
99 YEHLMO 0
0%
100 PATHARKATA/KUSWADIYA 0
0%
101 KUSUNDA 0
0%
102 OTHER DALIT 2
0.2%
103 OTHER CASTE 3
0.4%
104 DONT KNOW 0
0%
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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