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)
Cut back on non-food consumption (s15q08b_1)
Data file: Section_15a (hh wave1)
Overview
Valid:
1389
Invalid:
6583
Type:
Discrete
Decimal:
2
Width:
6
Range:
0 - 6
Format:
Numeric
Questions and instructions
Literal question
15.8b. Did the household reduce its consumption or expenditures on non-food items?
1. Cut back on non-food consumption
1. Cut back on non-food consumption
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | No | 730 |
52.6%
|
| 1 | First | 630 |
45.4%
|
| 2 | Second | 29 |
2.1%
|
| 3 | Third | 0 |
0%
|
| 4 | Fourth | 0 |
0%
|
| 5 | Fifth | 0 |
0%
|
| 6 | Sixth | 0 |
0%
|
| Sysmiss | 6583 |
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.