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Agriculture and Food Security Project Impact Evaluation 2016, Midline Survey

Nepal, 2016
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Reference ID
NPL_2016_AFSPIE-ML_v01_M
Producer(s)
Paul Christian (Development Impact Evaluation (DIME))
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jan 16, 2021
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1.2.2.1a if not why ? (l_2_2_12a)

Data file: microdata

Overview

Valid: 445
Invalid: 0
Type: Discrete
Start: 11706
End: 11713
Width: 8
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)
Categories
Value Category Cases
1 40
9%
1 11 1
0.2%
1 11 16 1
0.2%
1 14 16 2
0.4%
1 15 5
1.1%
1 15 16 3
0.7%
1 16 39
8.8%
1 16 96 1
0.2%
1 3 3
0.7%
1 3 16 1
0.2%
1 3 6 1
0.2%
1 4 14 1
0.2%
1 4 16 8
1.8%
1 6 2
0.4%
1 6 8 1
0.2%
1 7 1
0.2%
1 7 15 1
0.2%
1 7 16 1
0.2%
1 8 11 1
0.2%
1 8 16 1
0.2%
10 16 1
0.2%
11 3
0.7%
11 16 1
0.2%
12 15 16 1
0.2%
13 7
1.6%
13 16 3
0.7%
14 1
0.2%
15 1
0.2%
15 16 4
0.9%
16 99
22.2%
16 96 5
1.1%
2 2
0.4%
2 13 2
0.4%
2 13 16 2
0.4%
2 15 1
0.2%
2 15 16 1
0.2%
2 16 2
0.4%
2 3 6
1.3%
2 3 13 4
0.9%
2 3 16 2
0.4%
2 3 6 1
0.2%
2 3 9 1
0.2%
2 4 15 1
0.2%
2 6 16 1
0.2%
3 20
4.5%
3 10 1
0.2%
3 11 1
0.2%
3 13 2
0.4%
3 13 16 3
0.7%
3 15 2
0.4%
3 15 16 1
0.2%
3 16 23
5.2%
3 4 6 1
0.2%
3 6 6
1.3%
3 6 16 10
2.2%
3 8 1
0.2%
3 9 16 1
0.2%
4 6
1.3%
4 11 1
0.2%
4 13 15 1
0.2%
4 13 16 1
0.2%
4 15 1
0.2%
4 15 16 2
0.4%
4 16 12
2.7%
4 6 2
0.4%
4 6 16 2
0.4%
4 8 1
0.2%
5 1
0.2%
5 15 16 1
0.2%
5 16 1
0.2%
6 8
1.8%
6 11 15 1
0.2%
6 13 2
0.4%
6 15 16 1
0.2%
6 16 17
3.8%
6 7 1
0.2%
6 8 16 5
1.1%
6 9 16 1
0.2%
7 1
0.2%
8 3
0.7%
8 11 1
0.2%
8 11 16 4
0.9%
8 16 10
2.2%
8 9 1
0.2%
9 2
0.4%
9 15 16 1
0.2%
9 16 1
0.2%
96 15
3.4%
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 ?"
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