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    Home / Central Data Catalog / DIME / BGD_2012_IAPPIE-BL_V01_M / variable [F1]
dime

Impact Evaluation of the Integrated Agricultural Productivity Project 2012, Baseline Household Survey

Bangladesh, 2012
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Reference ID
BGD_2012_IAPPIE-BL_v01_M
DOI
https://doi.org/10.48529/zmvq-vd69
Producer(s)
Florence Kondylis, Maria Jones, Daniel Stein
Collection(s)
Development Impact Evaluation (DIME) Impact Evaluation Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Apr 10, 2017
Last modified
Apr 10, 2017
Page views
172400
Downloads
30351
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  • iapp_baseline_data_for_publicuse

N.2.2 - Total loss associated with event (n22_06)

Data file: iapp_baseline_data_for_publicuse

Overview

Valid: 806
Invalid: 4164
Minimum: 60
Maximum: 900000
Type: Discrete
Decimal: 0
Start: 21766
End: 21771
Width: 6
Range: 0 - 900000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 no loss 0
0%
60 1
0.1%
77 refuse 0
0%
88 don't know 0
0%
99 missing 0
0%
200 1
0.1%
500 2
0.2%
600 4
0.5%
700 1
0.1%
900 2
0.2%
1000 13
1.6%
1200 3
0.4%
1300 2
0.2%
1500 8
1%
1600 3
0.4%
1700 2
0.2%
1800 1
0.1%
2000 26
3.2%
2100 1
0.1%
2200 1
0.1%
2500 11
1.4%
3000 26
3.2%
3200 1
0.1%
3400 1
0.1%
3500 3
0.4%
3600 2
0.2%
3800 1
0.1%
4000 32
4%
4500 3
0.4%
5000 66
8.2%
5800 1
0.1%
6000 23
2.9%
7000 32
4%
8000 21
2.6%
8500 2
0.2%
8900 1
0.1%
9000 9
1.1%
9500 1
0.1%
10000 91
11.3%
11000 7
0.9%
12000 27
3.3%
13000 4
0.5%
14000 11
1.4%
14400 1
0.1%
14500 1
0.1%
15000 48
6%
16000 15
1.9%
17000 3
0.4%
18000 8
1%
19000 1
0.1%
20000 70
8.7%
21000 1
0.1%
22000 6
0.7%
24000 1
0.1%
25000 20
2.5%
27000 4
0.5%
28000 2
0.2%
30000 38
4.7%
32000 4
0.5%
33000 1
0.1%
35000 8
1%
36000 3
0.4%
40000 19
2.4%
42000 1
0.1%
45000 2
0.2%
46000 1
0.1%
50000 27
3.3%
54200 1
0.1%
55000 2
0.2%
60000 9
1.1%
65000 1
0.1%
70000 8
1%
80000 6
0.7%
85000 1
0.1%
90000 1
0.1%
100000 17
2.1%
104000 1
0.1%
120000 4
0.5%
150000 8
1%
178000 1
0.1%
200000 4
0.5%
250000 2
0.2%
300000 2
0.2%
320000 1
0.1%
400000 1
0.1%
500000 3
0.4%
900000 1
0.1%
Sysmiss 4164
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.
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