Household Risk and Vulnerability Survey, Full Panel 2016-2018
Nepal, 2016 - 2018
Get Microdata
Reference ID
NPL_2016-2018_HRVS_v02_M
Producer(s)
The World Bank
Metadata
Created on
May 28, 2020
Last modified
Sep 17, 2021
Page views
239020
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8557
- 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)
Name of District (district)
Data file: Section_3 (hh wave1)
Overview
Valid:
27599
Invalid:
0
Type:
Discrete
Decimal:
0
Width:
15
Range:
1 - 75
Format:
Numeric
Questions and instructions
Literal question
Name of District
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Taplejung | 227 |
0.8%
|
| 2 | Panchthar | 0 |
0%
|
| 3 | Ilam | 569 |
2.1%
|
| 4 | Jhapa | 840 |
3%
|
| 5 | Morang | 895 |
3.2%
|
| 6 | Sunsari | 642 |
2.3%
|
| 7 | Dhankuta | 335 |
1.2%
|
| 8 | Tehrathum | 0 |
0%
|
| 9 | Sankhuwasabha | 0 |
0%
|
| 10 | Bhojpur | 463 |
1.7%
|
| 11 | Solukhumbu | 250 |
0.9%
|
| 12 | Okhaldhunga | 242 |
0.9%
|
| 13 | Khotang | 535 |
1.9%
|
| 14 | Udayapur | 536 |
1.9%
|
| 15 | Saptari | 741 |
2.7%
|
| 16 | Siraha | 0 |
0%
|
| 17 | Dhanusha | 745 |
2.7%
|
| 18 | Mahottari | 735 |
2.7%
|
| 19 | Sarlahi | 912 |
3.3%
|
| 20 | Sindhuli | 620 |
2.2%
|
| 21 | Ramechhap | 0 |
0%
|
| 22 | Dolakha | 294 |
1.1%
|
| 23 | Sindhupalchok | 562 |
2%
|
| 24 | Kabhrepalanchok | 525 |
1.9%
|
| 25 | Lalitpur | 0 |
0%
|
| 26 | Bhaktapur | 0 |
0%
|
| 27 | Kathmandu | 0 |
0%
|
| 28 | Nuwakot | 494 |
1.8%
|
| 29 | Rasuwa | 0 |
0%
|
| 30 | Dhading | 729 |
2.6%
|
| 31 | Makwanpur | 634 |
2.3%
|
| 32 | Rautahat | 0 |
0%
|
| 33 | Bara | 722 |
2.6%
|
| 34 | Parsa | 669 |
2.4%
|
| 35 | Chitwan | 0 |
0%
|
| 36 | Gorkha | 308 |
1.1%
|
| 37 | Lamjung | 329 |
1.2%
|
| 38 | Tanahun | 537 |
1.9%
|
| 39 | Syangja | 431 |
1.6%
|
| 40 | Kaski | 0 |
0%
|
| 41 | Manang | 0 |
0%
|
| 42 | Mustang | 0 |
0%
|
| 43 | Myagdi | 183 |
0.7%
|
| 44 | Parbat | 0 |
0%
|
| 45 | Baglung | 433 |
1.6%
|
| 46 | Gulmi | 626 |
2.3%
|
| 47 | Palpa | 368 |
1.3%
|
| 48 | Nawalparasi | 1136 |
4.1%
|
| 49 | Rupandehi | 1364 |
4.9%
|
| 50 | Kapilbastu | 0 |
0%
|
| 51 | Arghakhanchi | 0 |
0%
|
| 52 | Pyuthan | 0 |
0%
|
| 53 | Rolpa | 386 |
1.4%
|
| 54 | Rukum | 394 |
1.4%
|
| 55 | Salyan | 0 |
0%
|
| 56 | Dang | 797 |
2.9%
|
| 57 | Banke | 737 |
2.7%
|
| 58 | Bardiya | 0 |
0%
|
| 59 | Surkhet | 630 |
2.3%
|
| 60 | Dailekh | 561 |
2%
|
| 61 | Jajarkot | 407 |
1.5%
|
| 62 | Dolpa | 0 |
0%
|
| 63 | Jumla | 152 |
0.6%
|
| 64 | Kalikot | 333 |
1.2%
|
| 65 | Mugu | 0 |
0%
|
| 66 | Humla | 0 |
0%
|
| 67 | Bajura | 222 |
0.8%
|
| 68 | Bajhang | 484 |
1.8%
|
| 69 | Achham | 508 |
1.8%
|
| 70 | Doti | 390 |
1.4%
|
| 71 | Kailali | 1185 |
4.3%
|
| 72 | Kanchanpur | 0 |
0%
|
| 73 | Dadeldhura | 0 |
0%
|
| 74 | Baitadi | 451 |
1.6%
|
| 75 | Darchula | 331 |
1.2%
|
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.