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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / NPL_2016-2018_HRVS_V01_EN_M_V01_A_OCS / variable [F254]
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
177800
Downloads
494
  • Study Description
  • Data Dictionary
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  • Data files
  • Section_0
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  • Section_5
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  • Section_1
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  • Section_3
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  • Section_5a
  • Section_5b
  • Section_6a
  • Section_6b
  • Section_6c
  • Section_6d
  • Section_7
  • Section_8
  • Section_9a1
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  • Section_9a3
  • Section_9a4
  • Section_9b1
  • Section_9b2
  • Section_9c
  • Section_9d
  • Section_9e
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  • Section_10
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  • Section_17
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  • Section_3a
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  • Section_5
  • Section_0
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  • Section_3
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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
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  • Section_9b1
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  • Section_9c
  • Section_9d
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  • Section_10
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  • 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

Food id (foodid)

Data file: Section_5a

Overview

Valid: 90935
Invalid: 0
Type: Discrete
Decimal: 0
Start: 33
End: 35
Width: 3
Range: 11 - 998
Format: Numeric

Questions and instructions

Literal question
Food id
Categories
Value Category Cases
11 Rice 6046
6.6%
12 Beaten, flattened rice 1034
1.1%
13 Maize 599
0.7%
14 Maize flour 1447
1.6%
15 Wheat flour 3392
3.7%
16 Millet 591
0.6%
17 Barley 7
0%
18 Other 11
0%
21 Lentil (Black gram) 5219
5.7%
22 Horse Gram 227
0.2%
23 Beans (Green gram, masyaura) 1396
1.5%
31 Eggs 1193
1.3%
32 Milk 2970
3.3%
33 Powder milk 14
0%
34 Curd / Whey 1430
1.6%
35 Other milk products (cheese, paneer) 13
0%
41 Ghee 484
0.5%
42 Vegetable oil 74
0.1%
43 Mustard oil 2775
3.1%
44 Other oil (soya, sunflower, corn etc) 3194
3.5%
51 Potatoes 5817
6.4%
52 Onions 3963
4.4%
53 Tomatoes 1752
1.9%
54 Green leafy vegetables 4433
4.9%
55 Other vegetables 4496
4.9%
61 Fruits 3345
3.7%
62 Dried fruits and nuts (coconut, cashew, dates etc) 41
0%
71 Fish 487
0.5%
72 Mutton 1037
1.1%
73 Buffalo meat 350
0.4%
74 Chicken 2681
2.9%
75 Other meats (Pig, Boar, Duck) 184
0.2%
81 Salt 6050
6.7%
82 Other spices and condiments (Coriander, nutmeg) 6018
6.6%
91 Sugar 4355
4.8%
92 Gur (Sakhar) 13
0%
93 Sweets (Mithai) 349
0.4%
101 Tea (dried leaves)/Coffee (ground, instant) 4199
4.6%
102 Other Non Alcohoblic (Fruit Juice,Coca cola, Pepsi) 480
0.5%
111 All Type of Alcohol 1789
2%
121 Cigarettes 1012
1.1%
122 Tobacco,jarda, khan, beetle 1685
1.9%
131 Misc. other food expenditures 4283
4.7%
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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