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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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D.1.18 - Total spent on inputs (d118_c1_08)

Data file: iapp_baseline_data_for_publicuse

Overview

Valid: 1071
Invalid: 3899
Minimum: 0
Maximum: 120000
Type: Discrete
Decimal: 0
Start: 8256
End: 8261
Width: 6
Range: -66 - 120000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-66 SKIP 0
0%
0 202
18.9%
3 1
0.1%
15 2
0.2%
20 7
0.7%
22 4
0.4%
25 2
0.2%
30 4
0.4%
32 1
0.1%
33 1
0.1%
40 6
0.6%
42 1
0.1%
44 9
0.8%
46 1
0.1%
50 12
1.1%
60 5
0.5%
64 1
0.1%
70 3
0.3%
75 2
0.2%
77 refuse 0
0%
80 9
0.8%
84 1
0.1%
86 1
0.1%
88 dont know 0
0%
99 missing 0
0%
100 37
3.5%
105 1
0.1%
106 1
0.1%
110 5
0.5%
120 9
0.8%
125 1
0.1%
130 3
0.3%
135 1
0.1%
136 1
0.1%
146 1
0.1%
150 9
0.8%
154 2
0.2%
160 3
0.3%
168 1
0.1%
174 1
0.1%
175 1
0.1%
180 3
0.3%
190 1
0.1%
195 1
0.1%
200 47
4.4%
210 2
0.2%
220 1
0.1%
230 1
0.1%
248 1
0.1%
250 17
1.6%
260 2
0.2%
269 1
0.1%
275 1
0.1%
280 1
0.1%
290 2
0.2%
300 49
4.6%
307 1
0.1%
320 2
0.2%
340 1
0.1%
344 1
0.1%
350 6
0.6%
366 1
0.1%
368 1
0.1%
380 1
0.1%
385 1
0.1%
400 35
3.3%
405 1
0.1%
410 1
0.1%
420 1
0.1%
434 1
0.1%
450 7
0.7%
459 1
0.1%
460 1
0.1%
467 1
0.1%
470 2
0.2%
475 1
0.1%
480 2
0.2%
488 1
0.1%
490 1
0.1%
500 46
4.3%
510 1
0.1%
520 3
0.3%
540 1
0.1%
544 1
0.1%
550 2
0.2%
570 2
0.2%
580 1
0.1%
590 2
0.2%
600 40
3.7%
610 2
0.2%
617 1
0.1%
618 1
0.1%
620 1
0.1%
625 1
0.1%
640 1
0.1%
650 5
0.5%
659 1
0.1%
666 1
0.1%
700 23
2.1%
720 3
0.3%
729 1
0.1%
750 7
0.7%
760 1
0.1%
774 1
0.1%
790 3
0.3%
800 25
2.3%
810 1
0.1%
820 2
0.2%
833 1
0.1%
840 1
0.1%
850 5
0.5%
857 1
0.1%
890 1
0.1%
892 1
0.1%
900 19
1.8%
910 1
0.1%
936 1
0.1%
950 2
0.2%
960 1
0.1%
975 1
0.1%
976 1
0.1%
988 1
0.1%
1000 32
3%
1006 1
0.1%
1020 2
0.2%
1041 1
0.1%
1050 4
0.4%
1100 9
0.8%
1120 2
0.2%
1122 1
0.1%
1130 1
0.1%
1139 1
0.1%
1160 2
0.2%
1170 1
0.1%
1200 24
2.2%
1210 1
0.1%
1225 1
0.1%
1245 1
0.1%
1250 5
0.5%
1280 1
0.1%
1300 11
1%
1320 1
0.1%
1340 1
0.1%
1350 2
0.2%
1355 1
0.1%
1370 1
0.1%
1400 10
0.9%
1426 1
0.1%
1440 3
0.3%
1480 1
0.1%
1500 23
2.1%
1510 1
0.1%
1520 1
0.1%
1545 1
0.1%
1600 4
0.4%
1620 1
0.1%
1628 1
0.1%
1635 1
0.1%
1700 5
0.5%
1712 1
0.1%
1750 1
0.1%
1780 2
0.2%
1800 10
0.9%
1850 1
0.1%
1900 5
0.5%
1920 2
0.2%
1940 1
0.1%
1980 1
0.1%
2000 28
2.6%
2010 1
0.1%
2052 1
0.1%
2060 1
0.1%
2085 1
0.1%
2100 6
0.6%
2110 1
0.1%
2150 2
0.2%
2200 2
0.2%
2275 1
0.1%
2290 1
0.1%
2300 4
0.4%
2370 1
0.1%
2400 1
0.1%
2480 1
0.1%
2500 14
1.3%
2800 1
0.1%
2832 1
0.1%
2840 1
0.1%
3000 9
0.8%
3200 1
0.1%
3250 2
0.2%
3500 1
0.1%
3570 1
0.1%
3700 1
0.1%
3800 2
0.2%
4000 3
0.3%
4500 2
0.2%
4900 1
0.1%
5000 5
0.5%
5200 1
0.1%
5700 1
0.1%
5800 1
0.1%
5900 1
0.1%
8000 2
0.2%
9375 1
0.1%
9500 1
0.1%
10010 1
0.1%
12000 1
0.1%
13000 2
0.2%
15000 2
0.2%
17000 1
0.1%
30000 1
0.1%
80000 1
0.1%
82599 1
0.1%
84000 1
0.1%
120000 1
0.1%
Sysmiss 3899
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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