Household Risk and Vulnerability Survey 2016-2018
Nepal, 2016 - 2018
Get Microdata
Reference ID
NPL_2016-2018_HRVS_v01_EN_M_v01_A_OCS
Producer(s)
The World Bank
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Metadata
Created on
Oct 06, 2020
Last modified
Nov 08, 2022
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- Data files
- 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_14b
- Section_14c
- Section_15a
- Section_15b
- Section_17
- Section_0
- Section_1
- Section_2
- Section_3a
- Section_3b
- Section_5
- Section_0
- 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_14b
- Section_14c
- Section_15a
- Section_15b
- 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.