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

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Created on

Oct 06, 2020

Last modified

Nov 08, 2022

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Food id (foodid)

Data file: Section_5a

Overview

Valid: 85659

Invalid: 0

Type: Discrete

Decimal: 0

Start: 34

End: 36

Width: 3

Range: 11 - 998

Format: Numeric

Questions and instructions

Literal question

Food id

Categories

Value	Category	Cases
11	Rice	5983	7%
12	Beaten, flattened rice	1252	1.5%
13	Maize	945	1.1%
14	Maize flour	1013	1.2%
15	Wheat flour	3032	3.5%
16	Millet	524	0.6%
17	Barley	18	0%
18	Other	5	0%
21	Lentil (Black gram)	4722	5.5%
22	Horse Gram	211	0.2%
23	Beans (Green gram, masyaura)	1332	1.6%
31	Eggs	948	1.1%
32	Milk	2863	3.3%
33	Powder milk	26	0%
34	Curd / Whey	1361	1.6%
35	Other milk products (cheese, paneer)	13	0%
41	Ghee	443	0.5%
42	Vegetable oil	221	0.3%
43	Mustard oil	3062	3.6%
44	Other oil (soya, sunflower, corn etc)	2668	3.1%
51	Potatoes	5734	6.7%
52	Onions	3974	4.6%
53	Tomatoes	1431	1.7%
54	Green leafy vegetables	4123	4.8%
55	Other vegetables	4075	4.8%
61	Fruits	2329	2.7%
62	Dried fruits and nuts (coconut, cashew, dates etc)	38	0%
71	Fish	460	0.5%
72	Mutton	1044	1.2%
73	Buffalo meat	334	0.4%
74	Chicken	2226	2.6%
75	Other meats (Pig, Boar, Duck)	260	0.3%
81	Salt	6001	7%
82	Other spices and condiments (Coriander, nutmeg)	5980	7%
91	Sugar	4185	4.9%
92	Gur (Sakhar)	13	0%
93	Sweets (Mithai)	240	0.3%
101	Tea (dried leaves)/Coffee (ground, instant)	3841	4.5%
102	Other Non Alcohoblic (Fruit Juice,Coca cola, Pepsi)	322	0.4%
111	All Type of Alcohol	1708	2%
121	Cigarettes	977	1.1%
122	Tobacco,jarda, khan, beetle	1818	2.1%
131	Misc. other food expenditures	3904	4.6%
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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