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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
298977
Downloads
30789
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  • iapp_baseline_data_for_publicuse

I.3.20 - Estimated value of [FISH] currently in pond (i320_06)

Data file: iapp_baseline_data_for_publicuse

Overview

Valid: 1631
Invalid: 3339
Minimum: 0
Maximum: 115000
Type: Discrete
Decimal: 0
Start: 20429
End: 20434
Width: 6
Range: 0 - 115000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 none 1
0.1%
25 1
0.1%
50 4
0.2%
60 5
0.3%
70 1
0.1%
77 refuse 0
0%
80 8
0.5%
88 dont know 0
0%
90 2
0.1%
99 missing 0
0%
100 32
2%
110 2
0.1%
120 13
0.8%
125 3
0.2%
130 3
0.2%
140 3
0.2%
150 21
1.3%
160 8
0.5%
165 1
0.1%
175 1
0.1%
180 8
0.5%
200 70
4.3%
210 2
0.1%
220 6
0.4%
225 2
0.1%
240 17
1%
250 16
1%
260 1
0.1%
270 7
0.4%
280 8
0.5%
300 89
5.5%
315 2
0.1%
320 2
0.1%
330 3
0.2%
350 8
0.5%
360 22
1.3%
375 3
0.2%
380 1
0.1%
390 3
0.2%
400 77
4.7%
420 4
0.2%
440 4
0.2%
450 16
1%
480 20
1.2%
500 94
5.8%
525 1
0.1%
540 2
0.1%
550 4
0.2%
560 6
0.4%
570 1
0.1%
580 2
0.1%
600 76
4.7%
625 1
0.1%
640 1
0.1%
650 3
0.2%
675 1
0.1%
700 44
2.7%
720 3
0.2%
750 21
1.3%
770 1
0.1%
780 2
0.1%
800 60
3.7%
820 2
0.1%
840 6
0.4%
880 1
0.1%
900 27
1.7%
910 2
0.1%
960 6
0.4%
980 1
0.1%
1000 112
6.9%
1040 1
0.1%
1050 4
0.2%
1070 1
0.1%
1080 2
0.1%
1100 9
0.6%
1120 1
0.1%
1125 1
0.1%
1150 1
0.1%
1170 1
0.1%
1190 1
0.1%
1200 65
4%
1210 1
0.1%
1220 1
0.1%
1235 1
0.1%
1250 2
0.1%
1260 1
0.1%
1300 10
0.6%
1350 1
0.1%
1380 1
0.1%
1400 10
0.6%
1440 1
0.1%
1470 1
0.1%
1480 1
0.1%
1500 71
4.4%
1520 1
0.1%
1560 1
0.1%
1600 23
1.4%
1620 2
0.1%
1650 3
0.2%
1680 1
0.1%
1750 1
0.1%
1800 32
2%
1820 1
0.1%
1900 2
0.1%
1920 1
0.1%
1950 3
0.2%
1980 1
0.1%
2000 61
3.7%
2100 6
0.4%
2150 1
0.1%
2160 1
0.1%
2200 7
0.4%
2250 1
0.1%
2280 1
0.1%
2300 1
0.1%
2400 17
1%
2450 1
0.1%
2500 17
1%
2550 1
0.1%
2600 5
0.3%
2700 3
0.2%
2800 7
0.4%
3000 39
2.4%
3040 1
0.1%
3200 10
0.6%
3300 2
0.1%
3360 1
0.1%
3400 1
0.1%
3500 10
0.6%
3600 11
0.7%
3740 1
0.1%
3800 2
0.1%
3840 1
0.1%
3900 2
0.1%
4000 38
2.3%
4050 1
0.1%
4200 4
0.2%
4375 1
0.1%
4400 5
0.3%
4480 1
0.1%
4500 10
0.6%
4560 1
0.1%
4700 1
0.1%
4800 8
0.5%
4950 1
0.1%
5000 11
0.7%
5100 1
0.1%
5250 1
0.1%
5280 1
0.1%
5400 2
0.1%
5500 3
0.2%
6000 18
1.1%
6050 1
0.1%
6300 1
0.1%
6400 1
0.1%
6500 1
0.1%
7000 3
0.2%
7200 4
0.2%
7500 1
0.1%
7700 1
0.1%
7900 1
0.1%
8000 15
0.9%
8400 1
0.1%
8800 1
0.1%
9000 5
0.3%
9200 1
0.1%
9600 2
0.1%
10000 5
0.3%
11400 1
0.1%
12000 4
0.2%
12500 1
0.1%
12600 1
0.1%
14000 2
0.1%
14400 1
0.1%
15000 4
0.2%
16000 2
0.1%
19500 1
0.1%
20000 1
0.1%
24000 3
0.2%
27000 1
0.1%
28000 1
0.1%
30000 1
0.1%
32000 1
0.1%
80000 1
0.1%
115000 1
0.1%
Sysmiss 3339
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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