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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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I.3.18 - Total income from selling [FISH] in last 12 months (i318_01)

Data file: iapp_baseline_data_for_publicuse

Overview

Valid: 698
Invalid: 4272
Minimum: 0
Maximum: 198000
Type: Discrete
Decimal: 0
Start: 20193
End: 20198
Width: 6
Range: 0 - 198000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 none 2
0.3%
30 2
0.3%
70 1
0.1%
77 refuse 0
0%
80 1
0.1%
88 dont know 0
0%
90 1
0.1%
99 missing 0
0%
100 3
0.4%
110 2
0.3%
120 5
0.7%
140 1
0.1%
150 6
0.9%
160 1
0.1%
200 16
2.3%
210 5
0.7%
220 3
0.4%
240 5
0.7%
260 2
0.3%
270 2
0.3%
280 2
0.3%
300 16
2.3%
320 4
0.6%
330 1
0.1%
340 1
0.1%
350 4
0.6%
360 3
0.4%
375 1
0.1%
380 1
0.1%
390 1
0.1%
400 24
3.4%
420 1
0.1%
450 4
0.6%
480 6
0.9%
500 29
4.2%
520 1
0.1%
540 1
0.1%
560 2
0.3%
600 19
2.7%
625 1
0.1%
640 2
0.3%
660 1
0.1%
700 19
2.7%
720 2
0.3%
750 4
0.6%
770 1
0.1%
800 24
3.4%
825 1
0.1%
840 4
0.6%
880 1
0.1%
900 13
1.9%
940 1
0.1%
960 2
0.3%
975 1
0.1%
980 1
0.1%
1000 36
5.2%
1040 1
0.1%
1050 4
0.6%
1080 1
0.1%
1100 2
0.3%
1190 2
0.3%
1200 21
3%
1220 1
0.1%
1250 1
0.1%
1260 1
0.1%
1300 4
0.6%
1312 1
0.1%
1320 1
0.1%
1360 1
0.1%
1400 8
1.1%
1440 2
0.3%
1495 1
0.1%
1500 22
3.2%
1560 1
0.1%
1575 1
0.1%
1600 15
2.1%
1650 1
0.1%
1680 1
0.1%
1700 3
0.4%
1800 7
1%
1950 1
0.1%
1960 1
0.1%
2000 30
4.3%
2009 1
0.1%
2080 1
0.1%
2100 4
0.6%
2160 1
0.1%
2200 6
0.9%
2240 2
0.3%
2250 2
0.3%
2400 12
1.7%
2460 1
0.1%
2500 8
1.1%
2550 1
0.1%
2600 2
0.3%
2625 1
0.1%
2700 1
0.1%
2750 1
0.1%
2760 1
0.1%
2800 4
0.6%
3000 17
2.4%
3008 1
0.1%
3010 1
0.1%
3200 6
0.9%
3300 1
0.1%
3360 1
0.1%
3400 1
0.1%
3420 1
0.1%
3450 1
0.1%
3500 7
1%
3600 3
0.4%
3640 1
0.1%
3750 2
0.3%
3990 1
0.1%
4000 20
2.9%
4200 6
0.9%
4240 1
0.1%
4400 1
0.1%
4500 4
0.6%
4550 1
0.1%
4560 1
0.1%
4750 1
0.1%
4800 9
1.3%
4900 1
0.1%
4950 1
0.1%
5000 6
0.9%
5100 1
0.1%
5250 1
0.1%
5400 2
0.3%
5500 2
0.3%
5600 2
0.3%
6000 10
1.4%
6200 1
0.1%
6300 1
0.1%
6370 1
0.1%
6500 1
0.1%
6800 1
0.1%
6825 1
0.1%
7000 2
0.3%
7200 8
1.1%
7210 1
0.1%
7420 1
0.1%
7500 5
0.7%
7600 1
0.1%
7650 1
0.1%
7910 1
0.1%
8000 11
1.6%
8400 4
0.6%
8750 1
0.1%
9000 6
0.9%
9300 1
0.1%
9600 3
0.4%
9750 1
0.1%
10000 7
1%
10500 1
0.1%
10800 1
0.1%
11000 1
0.1%
11250 1
0.1%
12000 2
0.3%
12600 1
0.1%
14000 2
0.3%
14400 3
0.4%
15000 5
0.7%
16000 1
0.1%
17000 2
0.3%
17250 1
0.1%
18000 2
0.3%
18200 1
0.1%
19200 1
0.1%
20000 2
0.3%
20400 1
0.1%
22500 2
0.3%
22800 1
0.1%
24000 1
0.1%
24500 1
0.1%
25200 1
0.1%
25800 1
0.1%
28000 1
0.1%
30000 1
0.1%
36000 1
0.1%
40000 2
0.3%
42000 1
0.1%
50000 2
0.3%
59000 1
0.1%
60000 1
0.1%
90000 1
0.1%
198000 1
0.1%
Sysmiss 4272
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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