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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / NPL_2016-2018_HRVS_V01_EN_M_V01_A_OCS / variable [F152]
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
175643
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  • Study Description
  • Data Dictionary
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  • Data files
  • Section_0
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  • Section_5
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  • Section_5a
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  • Section_6a
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  • Section_6c
  • Section_6d
  • Section_7
  • Section_8
  • Section_9a1
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  • Section_9a3
  • Section_9a4
  • Section_9b1
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  • Section_9c
  • Section_9d
  • Section_9e
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  • Section_10
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  • Section_5
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  • Section_10
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  • 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

Crop type (s05q00)

Data file: Section_5

Overview

Valid: 9176
Invalid: 0
Type: Discrete
Decimal: 0
Start: 32
End: 34
Width: 3
Range: 1 - 998
Format: Numeric

Questions and instructions

Literal question
5.00. Crop type available in your community?
Categories
Value Category Cases
1 Paddy 352
3.8%
2 Wheat 298
3.2%
3 Maize 328
3.6%
4 Millet 174
1.9%
5 Barley 55
0.6%
6 Buckwheat 23
0.3%
7 Other Cereals 0
0%
8 Soybeans 154
1.7%
9 Black Gram 160
1.7%
10 Red Gram 83
0.9%
11 Grass Pea 25
0.3%
12 Lentil 205
2.2%
13 Gram 119
1.3%
14 Pea 120
1.3%
15 Green Gram 52
0.6%
16 Coarse Gram 40
0.4%
17 Cow Pea 214
2.3%
18 Other Legumes 0
0%
19 Potato 373
4.1%
20 Sweet Potato 37
0.4%
21 Colocasia 110
1.2%
22 Other Tubers 0
0%
23 Mustard 164
1.8%
24 Ground Nut 44
0.5%
25 linseed 11
0.1%
26 Sesame 50
0.5%
27 Other Oilseed 0
0%
28 Sugarcane 57
0.6%
29 Jute 10
0.1%
30 Tobacco 45
0.5%
31 Other Cash Crops 0
0%
32 Chilies 242
2.6%
33 Onions 326
3.6%
34 Garlic 253
2.8%
35 Ginger 178
1.9%
36 Turmeric 167
1.8%
37 Cardamom 17
0.2%
38 Coriander Seed 94
1%
39 Other Spices 0
0%
40 Vegetables 0
0%
41 Orange 97
1.1%
42 Lemon 180
2%
43 Lime 89
1%
44 Sweet Lime 23
0.3%
45 Other Citrus 39
0.4%
46 Mango 279
3%
47 Banana 273
3%
48 Guava 88
1%
49 Jack Fruit 87
0.9%
50 Pineapple 50
0.5%
51 Lichee 65
0.7%
52 Pear 141
1.5%
53 Apple 96
1%
54 Plum 92
1%
55 Papaya 75
0.8%
56 Pomegranate 49
0.5%
57 Other Fruit 0
0%
58 Tea 0
0%
59 Thatch 0
0%
60 Fodder Trees 0
0%
61 Bamboo 0
0%
62 Other Trees 0
0%
401 Cucumber 213
2.3%
402 Squash 77
0.8%
403 Cauliflower 240
2.6%
404 Cabbage 239
2.6%
405 Pointed Gourd 65
0.7%
406 Raddish 197
2.1%
407 Spinach 281
3.1%
408 Mushroom 24
0.3%
409 Tomato 288
3.1%
410 Bitter Gourd 193
2.1%
411 Long Bean 186
2%
412 Brinjal 152
1.7%
413 Sponge Gouurd 210
2.3%
414 Pumpkin 207
2.3%
415 Carrot 54
0.6%
416 Jack Fruit 73
0.8%
417 Okra 134
1.5%
418 Tamarind 12
0.1%
419 Broccoli 28
0.3%
998 None 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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