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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
331881
Downloads
30892
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  • iapp_baseline_data_for_publicuse

D.1.18 - Total spent on inputs (d118_c1_09)

Data file: iapp_baseline_data_for_publicuse

Overview

Valid: 816
Invalid: 4154
Minimum: 0
Maximum: 32496
Type: Discrete
Decimal: 0
Start: 8262
End: 8266
Width: 5
Range: -66 - 32496
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-66 SKIP 0
0%
0 151
18.5%
4 2
0.2%
5 1
0.1%
15 1
0.1%
20 4
0.5%
22 2
0.2%
25 1
0.1%
30 2
0.2%
40 8
1%
42 1
0.1%
44 7
0.9%
50 7
0.9%
60 11
1.3%
63 1
0.1%
64 1
0.1%
65 1
0.1%
69 1
0.1%
70 1
0.1%
75 1
0.1%
77 refuse 0
0%
79 1
0.1%
80 3
0.4%
86 2
0.2%
88 dont know 0
0%
99 missing 0
0%
100 28
3.4%
110 4
0.5%
113 1
0.1%
120 4
0.5%
124 1
0.1%
125 2
0.2%
130 1
0.1%
132 2
0.2%
146 1
0.1%
150 18
2.2%
160 4
0.5%
180 4
0.5%
194 1
0.1%
200 41
5%
205 1
0.1%
210 2
0.2%
220 2
0.2%
232 1
0.1%
240 1
0.1%
250 9
1.1%
264 1
0.1%
275 1
0.1%
280 4
0.5%
282 1
0.1%
285 2
0.2%
300 30
3.7%
320 2
0.2%
350 7
0.9%
355 1
0.1%
357 1
0.1%
366 1
0.1%
370 2
0.2%
385 1
0.1%
393 1
0.1%
400 22
2.7%
408 1
0.1%
420 1
0.1%
429 1
0.1%
430 2
0.2%
440 1
0.1%
450 3
0.4%
460 2
0.2%
470 2
0.2%
480 1
0.1%
495 1
0.1%
500 29
3.6%
510 1
0.1%
520 2
0.2%
521 1
0.1%
537 1
0.1%
546 1
0.1%
550 2
0.2%
570 1
0.1%
571 1
0.1%
590 1
0.1%
600 23
2.8%
605 2
0.2%
610 1
0.1%
611 1
0.1%
612 1
0.1%
620 1
0.1%
625 1
0.1%
630 2
0.2%
650 4
0.5%
659 1
0.1%
675 1
0.1%
700 18
2.2%
720 1
0.1%
732 1
0.1%
740 2
0.2%
750 7
0.9%
762 1
0.1%
765 1
0.1%
780 3
0.4%
800 25
3.1%
805 1
0.1%
820 1
0.1%
825 1
0.1%
850 2
0.2%
870 1
0.1%
880 1
0.1%
900 11
1.3%
930 1
0.1%
950 5
0.6%
960 2
0.2%
980 1
0.1%
982 1
0.1%
1000 27
3.3%
1010 1
0.1%
1040 1
0.1%
1050 2
0.2%
1060 1
0.1%
1070 1
0.1%
1090 1
0.1%
1100 7
0.9%
1120 2
0.2%
1130 2
0.2%
1150 1
0.1%
1152 1
0.1%
1160 1
0.1%
1170 1
0.1%
1180 1
0.1%
1200 25
3.1%
1250 3
0.4%
1260 1
0.1%
1300 4
0.5%
1368 1
0.1%
1380 1
0.1%
1400 8
1%
1430 1
0.1%
1432 1
0.1%
1440 1
0.1%
1442 1
0.1%
1450 1
0.1%
1455 1
0.1%
1500 9
1.1%
1512 1
0.1%
1550 1
0.1%
1570 1
0.1%
1600 7
0.9%
1606 1
0.1%
1660 1
0.1%
1680 2
0.2%
1682 1
0.1%
1700 6
0.7%
1720 1
0.1%
1800 5
0.6%
1820 1
0.1%
1850 2
0.2%
1980 1
0.1%
2000 25
3.1%
2052 1
0.1%
2100 1
0.1%
2130 1
0.1%
2150 1
0.1%
2200 1
0.1%
2300 2
0.2%
2400 1
0.1%
2500 2
0.2%
2600 1
0.1%
2660 1
0.1%
2700 2
0.2%
2733 1
0.1%
2750 1
0.1%
2770 1
0.1%
2790 1
0.1%
2800 1
0.1%
3000 5
0.6%
3360 1
0.1%
3500 5
0.6%
3528 1
0.1%
3580 1
0.1%
4000 6
0.7%
4500 2
0.2%
4800 1
0.1%
5000 2
0.2%
5137 1
0.1%
5200 1
0.1%
6000 1
0.1%
6200 1
0.1%
7000 1
0.1%
7020 1
0.1%
7500 1
0.1%
8000 2
0.2%
8050 1
0.1%
10000 1
0.1%
13500 1
0.1%
21582 1
0.1%
32496 1
0.1%
Sysmiss 4154
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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