Agriculture and Food Security Project Impact Evaluation 2016, Midline Survey
Nepal, 2016
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Jan 16, 2021
Last modified
Jan 16, 2021
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- Data files
- microdata
1.2.2.1a if not why ? (l_2_2_8a)
Data file: microdata
Overview
Valid:
916
Invalid:
0
Type:
Discrete
Start:
11467
End:
11473
Width:
7
Range:
-
Format:
character
Questions and instructions
Literal question
Why?
1 = Drought
2 = Floods
3 = Irregular rains
4 = Crop pests and disease
5 = livestock disease
6 = High food prices
7 = High cost of agricultural inputs
8 = Loss or reduced employment
9 = Illness/ accident of HH member
10 = Death of HH member
11 = Theft of productive resources
12 = Other criminal acts
13 = Erosion / Landslides
14 = Hail
15 = Unavailability of seeds
16 = Not enough land
96 = Other (Specify)
1 = Drought
2 = Floods
3 = Irregular rains
4 = Crop pests and disease
5 = livestock disease
6 = High food prices
7 = High cost of agricultural inputs
8 = Loss or reduced employment
9 = Illness/ accident of HH member
10 = Death of HH member
11 = Theft of productive resources
12 = Other criminal acts
13 = Erosion / Landslides
14 = Hail
15 = Unavailability of seeds
16 = Not enough land
96 = Other (Specify)
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | 244 |
26.6%
|
|
| 1 11 | 2 |
0.2%
|
|
| 1 11 16 | 2 |
0.2%
|
|
| 1 11 96 | 1 |
0.1%
|
|
| 1 14 | 2 |
0.2%
|
|
| 1 14 16 | 3 |
0.3%
|
|
| 1 15 | 3 |
0.3%
|
|
| 1 15 16 | 16 |
1.7%
|
|
| 1 15 96 | 1 |
0.1%
|
|
| 1 16 | 155 |
16.9%
|
|
| 1 16 96 | 3 |
0.3%
|
|
| 1 2 | 1 |
0.1%
|
|
| 1 3 | 3 |
0.3%
|
|
| 1 3 16 | 11 |
1.2%
|
|
| 1 3 4 | 2 |
0.2%
|
|
| 1 3 6 | 6 |
0.7%
|
|
| 1 3 8 | 1 |
0.1%
|
|
| 1 3 96 | 1 |
0.1%
|
|
| 1 4 | 27 |
2.9%
|
|
| 1 4 11 | 1 |
0.1%
|
|
| 1 4 14 | 1 |
0.1%
|
|
| 1 4 15 | 1 |
0.1%
|
|
| 1 4 16 | 17 |
1.9%
|
|
| 1 4 6 | 5 |
0.5%
|
|
| 1 4 8 | 1 |
0.1%
|
|
| 1 4 9 | 1 |
0.1%
|
|
| 1 5 7 | 1 |
0.1%
|
|
| 1 6 | 16 |
1.7%
|
|
| 1 6 16 | 29 |
3.2%
|
|
| 1 6 8 | 1 |
0.1%
|
|
| 1 8 | 2 |
0.2%
|
|
| 1 8 16 | 12 |
1.3%
|
|
| 1 8 96 | 1 |
0.1%
|
|
| 1 9 | 1 |
0.1%
|
|
| 1 96 | 4 |
0.4%
|
|
| 10 16 | 1 |
0.1%
|
|
| 11 | 6 |
0.7%
|
|
| 11 16 | 6 |
0.7%
|
|
| 13 | 1 |
0.1%
|
|
| 13 16 | 1 |
0.1%
|
|
| 14 16 | 1 |
0.1%
|
|
| 15 16 | 5 |
0.5%
|
|
| 16 | 152 |
16.6%
|
|
| 16 96 | 6 |
0.7%
|
|
| 2 | 1 |
0.1%
|
|
| 2 4 6 | 1 |
0.1%
|
|
| 3 | 1 |
0.1%
|
|
| 3 15 16 | 1 |
0.1%
|
|
| 3 16 | 4 |
0.4%
|
|
| 3 4 | 1 |
0.1%
|
|
| 3 4 14 | 1 |
0.1%
|
|
| 3 4 16 | 1 |
0.1%
|
|
| 3 6 16 | 2 |
0.2%
|
|
| 4 11 | 1 |
0.1%
|
|
| 4 11 16 | 1 |
0.1%
|
|
| 4 12 16 | 1 |
0.1%
|
|
| 4 14 16 | 1 |
0.1%
|
|
| 4 15 | 1 |
0.1%
|
|
| 4 15 16 | 3 |
0.3%
|
|
| 4 16 | 6 |
0.7%
|
|
| 4 6 16 | 4 |
0.4%
|
|
| 4 8 | 1 |
0.1%
|
|
| 4 8 16 | 1 |
0.1%
|
|
| 4 9 11 | 1 |
0.1%
|
|
| 4 9 16 | 1 |
0.1%
|
|
| 6 | 4 |
0.4%
|
|
| 6 11 | 1 |
0.1%
|
|
| 6 11 16 | 2 |
0.2%
|
|
| 6 14 | 1 |
0.1%
|
|
| 6 15 16 | 4 |
0.4%
|
|
| 6 16 | 24 |
2.6%
|
|
| 6 16 96 | 1 |
0.1%
|
|
| 6 7 | 1 |
0.1%
|
|
| 6 8 | 2 |
0.2%
|
|
| 6 8 16 | 6 |
0.7%
|
|
| 6 8 96 | 1 |
0.1%
|
|
| 6 9 16 | 1 |
0.1%
|
|
| 7 14 16 | 1 |
0.1%
|
|
| 7 15 16 | 1 |
0.1%
|
|
| 7 16 | 2 |
0.2%
|
|
| 8 | 6 |
0.7%
|
|
| 8 10 16 | 1 |
0.1%
|
|
| 8 11 | 2 |
0.2%
|
|
| 8 11 16 | 1 |
0.1%
|
|
| 8 15 16 | 1 |
0.1%
|
|
| 8 16 | 14 |
1.5%
|
|
| 8 16 96 | 1 |
0.1%
|
|
| 8 9 16 | 2 |
0.2%
|
|
| 9 | 2 |
0.2%
|
|
| 9 10 16 | 1 |
0.1%
|
|
| 96 | 41 |
4.5%
|
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.
Interviewer instructions
Record only for months where you put 1 in L.2.2. List up to 3 reasons. If more than 3, ask respondent to choose 3 most important contributing factors.
Others
Notes
"1.2.2.1a If not why ?"