Household Risk and Vulnerability Survey, Full Panel 2016-2018
Nepal, 2016 - 2018
Get MicrodataCreated on
Jan 16, 2021
Last modified
Sep 07, 2022
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- 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)
Crops damaged in wet season (s09q37)
Data file: Section_9b1 (hh wave2)
Overview
Valid:
11030
Invalid:
1033
Type:
Discrete
Decimal:
2
Width:
6
Range:
1 - 2
Format:
Numeric
Questions and instructions
Question pretext
Wet season crops
Literal question
9.37. Was any part of the crops damaged before harvesting?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Yes | 670 |
6.1%
|
| 2 | No | 10360 |
93.9%
|
| Sysmiss | 1033 |
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.