Household Risk and Vulnerability Survey, Full Panel 2016-2018
Nepal, 2016 - 2018
Get MicrodataCreated on
Jan 16, 2021
Last modified
Sep 07, 2022
Page views
137210
Downloads
1162
- Data files
-
Section_0
(community
wave1) -
Section_1
(community
wave1) -
Section_2
(community
wave1) -
Section_3a
(community
wave1) -
Section_3b
(community
wave1) -
Section_4a
(community
wave1) -
Section_4b
(community
wave1) -
Section_5
(community
wave1) -
Section_0 (hh
wave1) -
Section_1 (hh
wave1) -
Section_2 (hh
wave1) -
Section_3 (hh
wave1) -
Section_4 (hh
wave1) -
Section_5a (hh
wave1) -
Section_5b (hh
wave1) -
Section_6a (hh
wave1) -
Section_6b (hh
wave1) -
Section_6c (hh
wave1) -
Section_6d (hh
wave1) -
Section_7 (hh
wave1) -
Section_8 (hh
wave1) -
Section_9a1 (hh
wave1) -
Section_9a2 (hh
wave1) -
Section_9a3 (hh
wave1) -
Section_9a4 (hh
wave1) -
Section_9b1 (hh
wave1) -
Section_9b2 (hh
wave1) -
Section_9c (hh
wave1) -
Section_9d (hh
wave1) -
Section_9e (hh
wave1) -
Section_9f (hh
wave1) -
Section_10 (hh
wave1) -
Section_11 (hh
wave1) -
Section_12a (hh
wave1) -
Section_12b (hh
wave1) -
Section_12c (hh
wave1) -
Section_12d (hh
wave1) -
Section_13a (hh
wave1) -
Section_13b (hh
wave1) -
Section_13c (hh
wave1) -
Section_13d (hh
wave1) -
Section_14a (hh
wave1) -
Section_14b (hh
wave1) -
Section_14c (hh
wave1) -
Section_15a (hh
wave1) -
Section_15b (hh
wave1) -
Section_16 (hh
wave1) -
Section_17 (hh
wave1) -
Section_0
(community
wave2) -
Section_1
(community
wave2) -
Section_2
(community
wave2) -
Section_3a
(community
wave2) -
Section_3b
(community
wave2) -
Section_4a
(community
wave2) -
Section_4b
(community
wave2) -
Section_5
(community
wave2) -
Section_0 (hh
wave2) -
Section_1 (hh
wave2) -
Section_2 (hh
wave2) -
Section_3 (hh
wave2) -
Section_4 (hh
wave2) -
Section_5a (hh
wave2) -
Section_5b (hh
wave2) -
Section_6a (hh
wave2) -
Section_6b (hh
wave2) -
Section_6c (hh
wave2) -
Section_6d (hh
wave2) -
Section_7 (hh
wave2) -
Section_8 (hh
wave2) -
Section_9a1 (hh
wave2) -
Section_9a2 (hh
wave2) -
Section_9a3 (hh
wave2) -
Section_9a4 (hh
wave2) -
Section_9b1 (hh
wave2) -
Section_9b2 (hh
wave2) -
Section_9c (hh
wave2) -
Section_9d (hh
wave2) -
Section_9e (hh
wave2) -
Section_9f (hh
wave2) -
Section_10 (hh
wave2) -
Section_11 (hh
wave2) -
Section_12a (hh
wave2) -
Section_12b (hh
wave2) -
Section_12c (hh
wave2) -
Section_12d (hh
wave2) -
Section_13a (hh
wave2) -
Section_13b (hh
wave2) -
Section_13c (hh
wave2) -
Section_13d (hh
wave2) -
Section_14a (hh
wave2) -
Section_14b (hh
wave2) -
Section_14c (hh
wave2) -
Section_15a (hh
wave2) -
Section_15b (hh
wave2) -
Section_16 (hh
wave2) -
Section_17 (hh
wave2) -
Section_0
(community
wave3) -
Section_1
(community
wave3) -
Section_2
(community
wave3) -
Section_3a
(community
wave3) -
Section_3b
(community
wave3) -
Section_4a
(community
wave3) -
Section_4b
(community
wave3) -
Section_5
(community
wave3) -
Section_0 (hh
wave3) -
Section_1 (hh
wave3) -
Section_2 (hh
wave3) -
Section_3 (hh
wave3) -
Section_4 (hh
wave3) -
Section_5a (hh
wave3) -
Section_5b (hh
wave3) -
Section_6a (hh
wave3) -
Section_6b (hh
wave3) -
Section_6c (hh
wave3) -
Section_6d (hh
wave3) -
Section_7 (hh
wave3) -
Section_8 (hh
wave3) -
Section_9a1 (hh
wave3) -
Section_9a2 (hh
wave3) -
Section_9a3 (hh
wave3) -
Section_9a4 (hh
wave3) -
Section_9b1 (hh
wave3) -
Section_9b2 (hh
wave3) -
Section_9c (hh
wave3) -
Section_9d (hh
wave3) -
Section_9e (hh
wave3) -
Section_9f (hh
wave3) -
Section_10 (hh
wave3) -
Section_11 (hh
wave3) -
Section_11a (hh
wave3) -
Section_12a (hh
wave3) -
Section_12b (hh
wave3) -
Section_12c (hh
wave3) -
Section_12d (hh
wave3) -
Section_13a (hh
wave3) -
Section_13b (hh
wave3) -
Section_13c (hh
wave3) -
Section_13d (hh
wave3) -
Section_14a (hh
wave3) -
Section_14b (hh
wave3) -
Section_14c (hh
wave3) -
Section_15a (hh
wave3) -
Section_15b (hh
wave3) -
Section_16 (hh
wave3) -
Section_17 (hh
wave3)
Place of residence (s08q04)
Data file: Section_8 (hh wave3)
Overview
Valid:
300
Invalid:
3826
Type:
Discrete
Decimal:
2
Width:
20
Range:
1 - 97
Format:
Numeric
Questions and instructions
Question pretext
For those working in agriculture or no-agriculture sectors on wage or salary basis.
Literal question
8.4. Where? (job localtion)
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Taplejung | 0 |
0%
|
| 2 | Panchthar | 0 |
0%
|
| 3 | Ilam | 1 |
0.3%
|
| 4 | Jhapa | 0 |
0%
|
| 5 | Morang | 3 |
1%
|
| 6 | Sunsari | 1 |
0.3%
|
| 7 | Dhankuta | 4 |
1.3%
|
| 8 | Tehrathum | 0 |
0%
|
| 9 | Sankhuwasabha | 3 |
1%
|
| 10 | Bhojpur | 0 |
0%
|
| 11 | Solukhumbu | 7 |
2.3%
|
| 12 | Okhaldhunga | 2 |
0.7%
|
| 13 | Khotang | 2 |
0.7%
|
| 14 | Udayapur | 2 |
0.7%
|
| 15 | Saptari | 0 |
0%
|
| 16 | Siraha | 0 |
0%
|
| 17 | Dhanusha | 0 |
0%
|
| 18 | Mahottari | 1 |
0.3%
|
| 19 | Sarlahi | 0 |
0%
|
| 20 | Sindhuli | 4 |
1.3%
|
| 21 | Ramechhap | 1 |
0.3%
|
| 22 | Dolakha | 5 |
1.7%
|
| 23 | Sindhupalchok | 2 |
0.7%
|
| 24 | Kabhrepalanchok | 1 |
0.3%
|
| 25 | Lalitpur | 0 |
0%
|
| 26 | Bhaktapur | 0 |
0%
|
| 27 | Kathmandu | 35 |
11.7%
|
| 28 | Nuwakot | 5 |
1.7%
|
| 29 | Rasuwa | 0 |
0%
|
| 30 | Dhading | 6 |
2%
|
| 31 | Makwanpur | 0 |
0%
|
| 32 | Rautahat | 0 |
0%
|
| 33 | Bara | 0 |
0%
|
| 34 | Parsa | 2 |
0.7%
|
| 35 | Chitwan | 0 |
0%
|
| 36 | Gorkha | 5 |
1.7%
|
| 37 | Lamjung | 0 |
0%
|
| 38 | Tanahun | 0 |
0%
|
| 39 | Syangja | 2 |
0.7%
|
| 40 | Kaski | 5 |
1.7%
|
| 41 | Manang | 0 |
0%
|
| 42 | Mustang | 1 |
0.3%
|
| 43 | Myagdi | 0 |
0%
|
| 44 | Parbat | 0 |
0%
|
| 45 | Baglung | 1 |
0.3%
|
| 46 | Gulmi | 2 |
0.7%
|
| 47 | Palpa | 0 |
0%
|
| 48 | Nawalparasi | 2 |
0.7%
|
| 49 | Rupandehi | 1 |
0.3%
|
| 50 | Kapilbastu | 0 |
0%
|
| 51 | Arghakhanchi | 0 |
0%
|
| 52 | Pyuthan | 0 |
0%
|
| 53 | Rolpa | 0 |
0%
|
| 54 | Rukum | 0 |
0%
|
| 55 | Salyan | 0 |
0%
|
| 56 | Dang | 0 |
0%
|
| 57 | Banke | 1 |
0.3%
|
| 58 | Bardiya | 0 |
0%
|
| 59 | Surkhet | 0 |
0%
|
| 60 | Dailekh | 0 |
0%
|
| 61 | Jajarkot | 0 |
0%
|
| 62 | Dolpa | 0 |
0%
|
| 63 | Jumla | 0 |
0%
|
| 64 | Kalikot | 0 |
0%
|
| 65 | Mugu | 1 |
0.3%
|
| 66 | Humla | 0 |
0%
|
| 67 | Bajura | 0 |
0%
|
| 68 | Bajhang | 0 |
0%
|
| 69 | Achham | 1 |
0.3%
|
| 70 | Doti | 2 |
0.7%
|
| 71 | Kailali | 7 |
2.3%
|
| 72 | Kanchanpur | 1 |
0.3%
|
| 73 | Dadeldhura | 0 |
0%
|
| 74 | Baitadi | 0 |
0%
|
| 75 | Darchula | 5 |
1.7%
|
| 76 | Other | 0 |
0%
|
| 81 | India | 110 |
36.7%
|
| 82 | Bhutan | 0 |
0%
|
| 83 | China | 0 |
0%
|
| 84 | Bangladesh | 0 |
0%
|
| 85 | Hongkong | 0 |
0%
|
| 86 | Malayasia | 21 |
7%
|
| 87 | Japan | 0 |
0%
|
| 88 | Saudi Arabia | 14 |
4.7%
|
| 89 | Qatar | 19 |
6.3%
|
| 90 | United Arab Emirates | 4 |
1.3%
|
| 91 | United Kingdom | 1 |
0.3%
|
| 92 | United States | 0 |
0%
|
| 93 | South Korea | 1 |
0.3%
|
| 94 | Australia | 0 |
0%
|
| 95 | Israel | 0 |
0%
|
| 96 | Other | 6 |
2%
|
| 97 | Other | 0 |
0%
|
| Sysmiss | 3826 |
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.