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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
169678
Downloads
30348
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  • iapp_baseline_data_for_publicuse

D.1.24 - Total earned from crop sales (d124_c2_04)

Data file: iapp_baseline_data_for_publicuse

Overview

Valid: 1086
Invalid: 3884
Minimum: 0
Maximum: 50000
Type: Discrete
Decimal: 0
Start: 9778
End: 9782
Width: 5
Range: -66 - 50000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-66 SKIP 0
0%
0 nothing 507
46.7%
77 refuse 0
0%
88 dont know 0
0%
99 missing 0
0%
100 1
0.1%
180 1
0.1%
200 7
0.6%
230 1
0.1%
250 3
0.3%
270 1
0.1%
300 4
0.4%
320 1
0.1%
350 2
0.2%
400 6
0.6%
450 1
0.1%
500 12
1.1%
525 1
0.1%
560 1
0.1%
600 8
0.7%
640 1
0.1%
680 1
0.1%
700 4
0.4%
750 2
0.2%
800 11
1%
825 1
0.1%
835 1
0.1%
900 4
0.4%
1000 16
1.5%
1040 1
0.1%
1050 2
0.2%
1100 3
0.3%
1150 1
0.1%
1200 14
1.3%
1225 1
0.1%
1280 2
0.2%
1300 3
0.3%
1350 3
0.3%
1375 1
0.1%
1400 6
0.6%
1500 15
1.4%
1575 1
0.1%
1600 8
0.7%
1650 1
0.1%
1700 1
0.1%
1800 9
0.8%
1875 1
0.1%
1890 1
0.1%
1920 1
0.1%
1950 1
0.1%
2000 34
3.1%
2100 8
0.7%
2160 1
0.1%
2200 5
0.5%
2250 2
0.2%
2376 1
0.1%
2400 13
1.2%
2475 1
0.1%
2500 8
0.7%
2550 1
0.1%
2600 2
0.2%
2650 1
0.1%
2660 1
0.1%
2700 11
1%
2760 1
0.1%
2800 6
0.6%
2835 1
0.1%
2850 1
0.1%
2870 1
0.1%
2880 1
0.1%
2940 1
0.1%
2990 1
0.1%
3000 21
1.9%
3080 1
0.1%
3150 4
0.4%
3200 10
0.9%
3225 1
0.1%
3240 1
0.1%
3290 1
0.1%
3300 3
0.3%
3400 1
0.1%
3500 9
0.8%
3520 1
0.1%
3570 1
0.1%
3600 23
2.1%
3750 2
0.2%
3780 1
0.1%
3800 1
0.1%
3840 2
0.2%
3900 3
0.3%
4000 21
1.9%
4025 1
0.1%
4060 1
0.1%
4150 1
0.1%
4200 5
0.5%
4250 1
0.1%
4400 2
0.2%
4410 1
0.1%
4500 8
0.7%
4600 1
0.1%
4620 1
0.1%
4800 7
0.6%
4850 1
0.1%
4950 1
0.1%
5000 17
1.6%
5040 1
0.1%
5120 1
0.1%
5130 1
0.1%
5175 1
0.1%
5200 3
0.3%
5250 1
0.1%
5320 1
0.1%
5400 3
0.3%
5440 1
0.1%
5500 4
0.4%
5600 2
0.2%
5920 1
0.1%
5950 1
0.1%
6000 13
1.2%
6050 1
0.1%
6270 1
0.1%
6300 3
0.3%
6400 3
0.3%
6500 2
0.2%
6600 4
0.4%
6720 1
0.1%
7000 8
0.7%
7200 5
0.5%
7440 1
0.1%
7450 1
0.1%
7500 2
0.2%
7520 1
0.1%
7560 1
0.1%
7650 1
0.1%
7700 1
0.1%
8000 16
1.5%
8260 1
0.1%
8370 1
0.1%
8400 3
0.3%
8500 1
0.1%
9000 6
0.6%
9310 1
0.1%
9500 1
0.1%
10000 6
0.6%
10500 2
0.2%
10800 2
0.2%
11000 1
0.1%
11200 1
0.1%
11250 1
0.1%
11700 1
0.1%
12000 5
0.5%
12420 1
0.1%
12500 2
0.2%
13000 1
0.1%
13270 1
0.1%
14000 3
0.3%
14400 1
0.1%
15000 5
0.5%
15495 1
0.1%
16800 1
0.1%
17600 1
0.1%
18000 2
0.2%
18400 1
0.1%
20000 2
0.2%
24000 1
0.1%
24750 1
0.1%
25000 2
0.2%
27500 1
0.1%
28000 2
0.2%
30000 2
0.2%
36000 1
0.1%
39000 1
0.1%
40000 2
0.2%
50000 1
0.1%
Sysmiss 3884
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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