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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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190902
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I.3.18 - Total income from selling [FISH] in last 12 months (i318_03)

Data file: iapp_baseline_data_for_publicuse

Overview

Valid: 587
Invalid: 4383
Minimum: 0
Maximum: 45000
Type: Discrete
Decimal: 0
Start: 20205
End: 20209
Width: 5
Range: 0 - 45000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 none 2
0.3%
15 2
0.3%
45 1
0.2%
50 1
0.2%
70 1
0.2%
77 refuse 0
0%
80 2
0.3%
88 dont know 0
0%
90 1
0.2%
99 missing 0
0%
100 10
1.7%
110 2
0.3%
120 4
0.7%
140 2
0.3%
150 4
0.7%
160 1
0.2%
180 1
0.2%
200 8
1.4%
210 1
0.2%
220 1
0.2%
240 3
0.5%
250 3
0.5%
260 1
0.2%
270 3
0.5%
275 1
0.2%
300 16
2.7%
310 1
0.2%
320 1
0.2%
330 2
0.3%
350 3
0.5%
360 2
0.3%
375 1
0.2%
390 1
0.2%
400 19
3.2%
405 1
0.2%
440 2
0.3%
450 3
0.5%
460 1
0.2%
480 3
0.5%
500 17
2.9%
525 1
0.2%
550 3
0.5%
560 2
0.3%
570 1
0.2%
600 31
5.3%
625 2
0.3%
630 1
0.2%
650 2
0.3%
660 1
0.2%
680 2
0.3%
700 14
2.4%
720 5
0.9%
750 9
1.5%
770 3
0.5%
800 21
3.6%
840 4
0.7%
850 1
0.2%
880 1
0.2%
900 11
1.9%
910 2
0.3%
950 1
0.2%
960 3
0.5%
1000 23
3.9%
1080 2
0.3%
1100 5
0.9%
1120 2
0.3%
1200 18
3.1%
1280 1
0.2%
1300 6
1%
1400 8
1.4%
1440 1
0.2%
1485 1
0.2%
1500 19
3.2%
1575 1
0.2%
1600 15
2.6%
1625 1
0.2%
1650 1
0.2%
1680 1
0.2%
1700 2
0.3%
1800 10
1.7%
1920 1
0.2%
1950 2
0.3%
1980 1
0.2%
2000 20
3.4%
2100 5
0.9%
2160 2
0.3%
2200 3
0.5%
2250 6
1%
2375 1
0.2%
2400 5
0.9%
2500 5
0.9%
2530 1
0.2%
2560 1
0.2%
2640 1
0.2%
2700 4
0.7%
2750 1
0.2%
2800 8
1.4%
2880 1
0.2%
3000 18
3.1%
3125 1
0.2%
3200 6
1%
3300 3
0.5%
3360 1
0.2%
3400 2
0.3%
3420 1
0.2%
3450 1
0.2%
3500 7
1.2%
3600 2
0.3%
3640 1
0.2%
3780 1
0.2%
3800 2
0.3%
4000 15
2.6%
4160 1
0.2%
4200 3
0.5%
4290 1
0.2%
4400 1
0.2%
4410 1
0.2%
4500 6
1%
4550 1
0.2%
4800 4
0.7%
5000 5
0.9%
5040 1
0.2%
5200 1
0.2%
5250 1
0.2%
5400 1
0.2%
5500 1
0.2%
5600 2
0.3%
6000 7
1.2%
6300 1
0.2%
6360 1
0.2%
6400 1
0.2%
6500 2
0.3%
6800 1
0.2%
7000 3
0.5%
7200 1
0.2%
7600 1
0.2%
8000 5
0.9%
8190 1
0.2%
8250 1
0.2%
8500 1
0.2%
8800 2
0.3%
9000 1
0.2%
9100 1
0.2%
9600 1
0.2%
9800 2
0.3%
9960 1
0.2%
10000 1
0.2%
10200 1
0.2%
10500 1
0.2%
11500 1
0.2%
12000 2
0.3%
13000 2
0.3%
13225 1
0.2%
13500 1
0.2%
13875 1
0.2%
14000 1
0.2%
15600 1
0.2%
16000 1
0.2%
17000 1
0.2%
17600 1
0.2%
19500 1
0.2%
20000 3
0.5%
24000 1
0.2%
27900 1
0.2%
28500 1
0.2%
30400 1
0.2%
36400 1
0.2%
37500 1
0.2%
40000 1
0.2%
45000 1
0.2%
Sysmiss 4383
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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