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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
170085
Downloads
30351
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  • iapp_baseline_data_for_publicuse

D.1.24 - Total earned from crop sales (d124_c1_07)

Data file: iapp_baseline_data_for_publicuse

Overview

Valid: 1375
Invalid: 3595
Minimum: 0
Maximum: 432000
Type: Discrete
Decimal: 0
Start: 9738
End: 9743
Width: 6
Range: -66 - 432000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-66 SKIP 0
0%
0 nothing 652
47.4%
77 refuse 0
0%
88 dont know 0
0%
99 missing 0
0%
100 3
0.2%
150 1
0.1%
200 11
0.8%
225 1
0.1%
250 1
0.1%
300 6
0.4%
350 1
0.1%
400 5
0.4%
500 17
1.2%
550 1
0.1%
600 14
1%
680 1
0.1%
700 5
0.4%
720 1
0.1%
750 1
0.1%
780 1
0.1%
800 10
0.7%
900 2
0.1%
960 1
0.1%
1000 25
1.8%
1050 1
0.1%
1060 1
0.1%
1100 2
0.1%
1150 1
0.1%
1200 22
1.6%
1250 1
0.1%
1300 6
0.4%
1350 2
0.1%
1380 1
0.1%
1400 7
0.5%
1440 1
0.1%
1500 15
1.1%
1560 1
0.1%
1575 1
0.1%
1600 13
0.9%
1700 1
0.1%
1750 1
0.1%
1800 10
0.7%
1820 1
0.1%
1900 2
0.1%
2000 28
2%
2018 1
0.1%
2100 3
0.2%
2200 4
0.3%
2250 6
0.4%
2300 1
0.1%
2400 10
0.7%
2450 2
0.1%
2500 17
1.2%
2520 1
0.1%
2560 2
0.1%
2600 1
0.1%
2660 1
0.1%
2700 9
0.7%
2800 8
0.6%
2820 1
0.1%
2900 2
0.1%
2940 1
0.1%
2970 1
0.1%
2975 1
0.1%
2990 1
0.1%
3000 26
1.9%
3080 1
0.1%
3125 1
0.1%
3150 4
0.3%
3200 6
0.4%
3240 2
0.1%
3250 1
0.1%
3300 3
0.2%
3360 2
0.1%
3370 1
0.1%
3400 1
0.1%
3450 1
0.1%
3500 10
0.7%
3600 5
0.4%
3750 2
0.1%
3780 2
0.1%
3800 2
0.1%
3840 4
0.3%
3875 1
0.1%
4000 28
2%
4050 1
0.1%
4060 1
0.1%
4165 1
0.1%
4200 3
0.2%
4230 1
0.1%
4320 1
0.1%
4340 1
0.1%
4400 2
0.1%
4420 1
0.1%
4500 16
1.2%
4600 2
0.1%
4640 1
0.1%
4800 7
0.5%
4940 1
0.1%
5000 14
1%
5040 3
0.2%
5200 1
0.1%
5250 3
0.2%
5400 7
0.5%
5500 1
0.1%
5590 1
0.1%
5600 5
0.4%
5700 4
0.3%
5760 2
0.1%
5850 1
0.1%
5880 1
0.1%
5950 1
0.1%
6000 27
2%
6070 1
0.1%
6240 1
0.1%
6250 1
0.1%
6300 2
0.1%
6400 3
0.2%
6460 1
0.1%
6480 1
0.1%
6490 1
0.1%
6500 1
0.1%
6600 2
0.1%
6720 1
0.1%
6750 1
0.1%
6800 2
0.1%
6960 1
0.1%
6970 1
0.1%
7000 9
0.7%
7040 1
0.1%
7080 1
0.1%
7200 7
0.5%
7500 12
0.9%
7600 3
0.2%
7700 2
0.1%
7800 2
0.1%
8000 13
0.9%
8050 1
0.1%
8100 3
0.2%
8250 2
0.1%
8300 1
0.1%
8360 1
0.1%
8400 2
0.1%
8500 2
0.1%
8550 1
0.1%
8600 1
0.1%
8640 2
0.1%
8670 1
0.1%
8820 1
0.1%
9000 12
0.9%
9120 1
0.1%
9200 1
0.1%
9300 1
0.1%
9450 1
0.1%
9600 1
0.1%
9800 2
0.1%
10000 14
1%
10336 1
0.1%
10500 1
0.1%
10780 1
0.1%
10800 3
0.2%
11000 3
0.2%
11200 1
0.1%
11250 3
0.2%
11400 1
0.1%
11550 1
0.1%
11600 1
0.1%
11700 1
0.1%
11900 1
0.1%
12000 7
0.5%
12350 1
0.1%
12441 1
0.1%
13000 1
0.1%
13160 1
0.1%
13500 4
0.3%
14000 3
0.2%
14300 1
0.1%
14400 1
0.1%
14500 1
0.1%
14900 1
0.1%
15000 3
0.2%
15925 1
0.1%
16000 1
0.1%
16500 1
0.1%
17000 1
0.1%
17500 3
0.2%
18000 3
0.2%
18400 1
0.1%
19200 1
0.1%
20000 5
0.4%
21000 1
0.1%
21500 1
0.1%
21600 2
0.1%
23400 1
0.1%
27000 1
0.1%
28750 1
0.1%
30000 3
0.2%
31500 1
0.1%
32000 2
0.1%
35000 1
0.1%
37200 1
0.1%
40000 1
0.1%
43400 1
0.1%
48000 1
0.1%
58500 1
0.1%
60000 1
0.1%
72000 1
0.1%
97000 1
0.1%
120000 1
0.1%
125000 1
0.1%
140000 1
0.1%
144000 1
0.1%
150000 1
0.1%
210000 1
0.1%
339600 1
0.1%
432000 1
0.1%
Sysmiss 3595
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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