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Household Risk and Vulnerability Survey, Full Panel 2016-2018

Nepal, 2016 - 2018
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Reference ID
NPL_2016-2018_HRVS_v02_M
Producer(s)
The World Bank
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Sep 07, 2022
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107430
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Crop id (cropid)

Data file: Section_9b1 (hh wave2)

Overview

Valid: 12063
Invalid: 0
Type: Discrete
Decimal: 0
Width: 16
Range: 1 - 998
Format: Numeric

Questions and instructions

Literal question
Crop id
Categories
Value Category Cases
1 Paddy 3461
28.7%
2 Wheat 5
0%
3 Maize 2698
22.4%
4 Millet 1440
11.9%
5 Barley 2
0%
6 Buckwheat 13
0.1%
7 Other Cereals 9
0.1%
8 Soybeans 432
3.6%
9 Black Gram 174
1.4%
10 Red Gram 75
0.6%
11 Grass Pea 3
0%
12 Lentil 4
0%
13 Gram 2
0%
14 Pea 9
0.1%
15 Green Gram 0
0%
16 Coarse Gram 12
0.1%
17 Cow Pea 235
1.9%
18 Other Legumes 13
0.1%
19 Potato 253
2.1%
20 Sweet Potato 0
0%
21 Colocasia 18
0.1%
22 Other Tubers 1
0%
23 Mustard 21
0.2%
24 Ground Nut 34
0.3%
25 LINSEED 0
0%
26 Sesame 10
0.1%
27 Other Oilseed 0
0%
28 Sugarcane 9
0.1%
29 Jute 0
0%
30 Tobacco 0
0%
31 Other Cash Crops 0
0%
32 Chilies 145
1.2%
33 Onions 25
0.2%
34 Garlic 11
0.1%
35 Ginger 32
0.3%
36 Turmeric 16
0.1%
37 Cardamom 64
0.5%
38 Coriander Seed 9
0.1%
39 Other Spices 0
0%
40 Vegetables 125
1%
41 Orange 13
0.1%
42 Lemon 2
0%
43 Lime 1
0%
44 Sweet Lime 0
0%
45 Other Citrus 0
0%
46 Mango 21
0.2%
47 Banana 11
0.1%
48 Guava 0
0%
49 Jack Fruit 0
0%
50 Pineapple 0
0%
51 Lichee 1
0%
52 Pear 2
0%
53 Apple 14
0.1%
54 Plum 3
0%
55 Papaya 1
0%
56 Pomegranate 0
0%
57 Other Fruit 1
0%
58 Tea 30
0.2%
59 Thatch 15
0.1%
60 Fodder Trees 41
0.3%
61 Bamboo 0
0%
62 Other Trees 23
0.2%
401 Cucumber 63
0.5%
402 Squash 37
0.3%
403 Cauliflower 28
0.2%
404 Cabbage 24
0.2%
405 Pointed Gourd 4
0%
406 Raddish 37
0.3%
407 Spinach 448
3.7%
408 Mushroom 1
0%
409 Tomato 120
1%
410 Bitter Gourd 36
0.3%
411 Long Bean 431
3.6%
412 Brinjal 16
0.1%
413 Sponge Gouurd 87
0.7%
414 Pumpkin 119
1%
415 Carrot 2
0%
416 Jack Fruit 0
0%
417 Okra 34
0.3%
418 Tamarind 0
0%
419 Broccoli 4
0%
998 None 1033
8.6%
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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