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agricultural-surveys

Impact Evaluation of the Integrated Agricultural Productivity Project 2012

Bangladesh, 2012
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Reference ID
BGD_2012_IAPPIE_v01_EN_M_v01_A_OCS
Producer(s)
Florence Kondylis, Maria Jones, Daniel Stein
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Sep 09, 2020
Last modified
Nov 08, 2022
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215862
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D.1.24 - Total earned from crop sales (d124_c1_08)

Data file: iapp_baseline_data_for_publicuse

Overview

Valid: 1049
Invalid: 3921
Minimum: 0
Maximum: 600000
Type: Discrete
Decimal: 0
Start: 9744
End: 9749
Width: 6
Range: -66 - 600000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-66 SKIP 0
0%
0 nothing 558
53.2%
75 1
0.1%
77 refuse 0
0%
88 dont know 0
0%
99 missing 0
0%
150 1
0.1%
200 2
0.2%
300 4
0.4%
375 1
0.1%
400 6
0.6%
480 1
0.1%
500 7
0.7%
550 1
0.1%
600 5
0.5%
660 1
0.1%
680 2
0.2%
690 1
0.1%
700 5
0.5%
750 1
0.1%
780 1
0.1%
800 2
0.2%
832 1
0.1%
875 1
0.1%
900 2
0.2%
1000 21
2%
1050 1
0.1%
1100 1
0.1%
1200 18
1.7%
1240 1
0.1%
1300 1
0.1%
1350 2
0.2%
1352 1
0.1%
1400 4
0.4%
1500 9
0.9%
1560 1
0.1%
1600 3
0.3%
1700 1
0.1%
1800 7
0.7%
1820 1
0.1%
1900 1
0.1%
1920 2
0.2%
1950 1
0.1%
2000 16
1.5%
2100 2
0.2%
2160 2
0.2%
2200 3
0.3%
2250 1
0.1%
2310 1
0.1%
2400 15
1.4%
2450 1
0.1%
2500 7
0.7%
2520 1
0.1%
2560 1
0.1%
2650 1
0.1%
2700 7
0.7%
2800 4
0.4%
2850 2
0.2%
2880 3
0.3%
2900 1
0.1%
3000 25
2.4%
3050 1
0.1%
3100 1
0.1%
3120 1
0.1%
3125 1
0.1%
3150 1
0.1%
3200 3
0.3%
3250 1
0.1%
3300 2
0.2%
3360 1
0.1%
3370 1
0.1%
3375 1
0.1%
3400 1
0.1%
3480 1
0.1%
3500 1
0.1%
3600 8
0.8%
3680 1
0.1%
3700 2
0.2%
3750 1
0.1%
3780 1
0.1%
3800 2
0.2%
3835 1
0.1%
3840 2
0.2%
3900 1
0.1%
4000 17
1.6%
4030 1
0.1%
4050 5
0.5%
4080 1
0.1%
4180 1
0.1%
4200 1
0.1%
4260 1
0.1%
4320 2
0.2%
4500 6
0.6%
4550 1
0.1%
4800 8
0.8%
4950 1
0.1%
5000 17
1.6%
5020 1
0.1%
5100 1
0.1%
5160 1
0.1%
5200 2
0.2%
5280 1
0.1%
5300 1
0.1%
5330 1
0.1%
5400 2
0.2%
5500 3
0.3%
5520 1
0.1%
5600 2
0.2%
5700 1
0.1%
5760 1
0.1%
5850 1
0.1%
5940 1
0.1%
6000 21
2%
6020 1
0.1%
6110 1
0.1%
6120 1
0.1%
6200 2
0.2%
6300 1
0.1%
6400 4
0.4%
6409 1
0.1%
6490 1
0.1%
6500 6
0.6%
6502 1
0.1%
6600 2
0.2%
6750 2
0.2%
6840 1
0.1%
6900 1
0.1%
6930 1
0.1%
7000 5
0.5%
7150 1
0.1%
7200 3
0.3%
7350 1
0.1%
7360 1
0.1%
7500 8
0.8%
7570 1
0.1%
7600 2
0.2%
7650 1
0.1%
7800 1
0.1%
8000 7
0.7%
8050 1
0.1%
8100 2
0.2%
8360 1
0.1%
8400 2
0.2%
8500 2
0.2%
8640 3
0.3%
8750 1
0.1%
9000 8
0.8%
9240 1
0.1%
9350 1
0.1%
9750 1
0.1%
9800 1
0.1%
9900 1
0.1%
10000 12
1.1%
10200 1
0.1%
10360 1
0.1%
10560 1
0.1%
10800 1
0.1%
11000 1
0.1%
12000 1
0.1%
12200 1
0.1%
13300 1
0.1%
13500 1
0.1%
14000 1
0.1%
14300 1
0.1%
15375 1
0.1%
15750 1
0.1%
15925 1
0.1%
16500 1
0.1%
17000 1
0.1%
17500 2
0.2%
18000 1
0.1%
19080 1
0.1%
20000 2
0.2%
20250 1
0.1%
21000 1
0.1%
21850 1
0.1%
23400 1
0.1%
24000 2
0.2%
30000 1
0.1%
40000 2
0.2%
52000 1
0.1%
70000 1
0.1%
75000 1
0.1%
87500 1
0.1%
105000 1
0.1%
120000 1
0.1%
126000 1
0.1%
144000 1
0.1%
192000 1
0.1%
229000 1
0.1%
230000 1
0.1%
600000 1
0.1%
Sysmiss 3921
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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