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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / NPL_2016-2018_HRVS_V01_EN_M_V01_A_OCS / variable [F219]
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
174961
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  • Study Description
  • Data Dictionary
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  • Data files
  • Section_0
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  • Section_6d
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  • Section_9a1
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  • Section_9a3
  • Section_9a4
  • Section_9b1
  • Section_9b2
  • Section_9c
  • Section_9d
  • Section_9e
  • Section_9f
  • Section_10
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  • Section_5
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  • Section_7
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  • Section_9b1
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  • Section_9c
  • Section_9d
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  • Section_9f
  • Section_10
  • Section_11
  • Section_12a
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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 id (cropid)

Data file: Section_9b2

Overview

Valid: 10108
Invalid: 0
Type: Discrete
Decimal: 0
Start: 34
End: 36
Width: 3
Range: 1 - 998
Format: Numeric

Questions and instructions

Literal question
Crop id
Categories
Value Category Cases
1 Paddy 110
1.1%
2 Wheat 2539
25.1%
3 Maize 881
8.7%
4 Millet 67
0.7%
5 Barley 378
3.7%
6 Buckwheat 25
0.2%
7 Other Cereals 5
0%
8 Soybeans 13
0.1%
9 Black Gram 55
0.5%
10 Red Gram 6
0.1%
11 Grass Pea 68
0.7%
12 Lentil 865
8.6%
13 Gram 100
1%
14 Pea 176
1.7%
15 Green Gram 15
0.1%
16 Coarse Gram 17
0.2%
17 Cow Pea 67
0.7%
18 Other Legumes 15
0.1%
19 Potato 1662
16.4%
20 Sweet Potato 0
0%
21 Colocasia 12
0.1%
22 Other Tubers 0
0%
23 Mustard 769
7.6%
24 Ground Nut 5
0%
25 LINSEED 18
0.2%
26 Sesame 7
0.1%
27 Other Oilseed 2
0%
28 Sugarcane 72
0.7%
29 Jute 2
0%
30 Tobacco 1
0%
31 Other Cash Crops 8
0.1%
32 Chilies 43
0.4%
33 Onions 604
6%
34 Garlic 264
2.6%
35 Ginger 34
0.3%
36 Turmeric 11
0.1%
37 Cardamom 8
0.1%
38 Coriander Seed 9
0.1%
39 Other Spices 0
0%
40 Vegetables 89
0.9%
41 Orange 19
0.2%
42 Lemon 0
0%
43 Lime 0
0%
44 Sweet Lime 0
0%
45 Other Citrus 0
0%
46 Mango 4
0%
47 Banana 8
0.1%
48 Guava 0
0%
49 Jack Fruit 0
0%
50 Pineapple 0
0%
51 Lichee 1
0%
52 Pear 0
0%
53 Apple 12
0.1%
54 Plum 0
0%
55 Papaya 1
0%
56 Pomegranate 1
0%
57 Other Fruit 0
0%
58 Tea 0
0%
59 Thatch 16
0.2%
60 Fodder Trees 17
0.2%
61 Bamboo 0
0%
62 Other Trees 10
0.1%
401 Cucumber 15
0.1%
402 Squash 3
0%
403 Cauliflower 149
1.5%
404 Cabbage 129
1.3%
405 Pointed Gourd 7
0.1%
406 Raddish 72
0.7%
407 Spinach 411
4.1%
408 Mushroom 0
0%
409 Tomato 79
0.8%
410 Bitter Gourd 10
0.1%
411 Long Bean 78
0.8%
412 Brinjal 11
0.1%
413 Sponge Gouurd 8
0.1%
414 Pumpkin 18
0.2%
415 Carrot 2
0%
416 Jack Fruit 0
0%
417 Okra 5
0%
418 Tamarind 0
0%
419 Broccoli 0
0%
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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