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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / BGD_2012_IAPPIE_V01_EN_M_V01_A_OCS / variable [F1]
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
Page views
178516
Downloads
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  • Study Description
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  • iapp_baseline_data_for_publicuse

D.1.18 - Total spent on inputs (d118_c2_01)

Data file: iapp_baseline_data_for_publicuse

Overview

Valid: 1944
Invalid: 3026
Minimum: 0
Maximum: 45000
Type: Discrete
Decimal: 0
Start: 8271
End: 8275
Width: 5
Range: -66 - 45000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-66 SKIP 0
0%
0 203
10.4%
10 1
0.1%
11 2
0.1%
15 1
0.1%
20 5
0.3%
21 2
0.1%
22 9
0.5%
25 2
0.1%
30 4
0.2%
33 1
0.1%
40 9
0.5%
42 1
0.1%
44 16
0.8%
50 13
0.7%
55 1
0.1%
57 1
0.1%
60 7
0.4%
64 1
0.1%
65 1
0.1%
70 3
0.2%
77 refuse 0
0%
80 6
0.3%
84 1
0.1%
85 2
0.1%
88 dont know 0
0%
90 2
0.1%
95 1
0.1%
99 missing 0
0%
100 55
2.8%
104 1
0.1%
105 2
0.1%
110 22
1.1%
115 1
0.1%
116 1
0.1%
120 12
0.6%
122 1
0.1%
124 1
0.1%
125 5
0.3%
130 3
0.2%
132 2
0.1%
135 2
0.1%
140 2
0.1%
150 24
1.2%
151 1
0.1%
152 1
0.1%
160 1
0.1%
165 3
0.2%
166 2
0.1%
170 2
0.1%
175 2
0.1%
176 2
0.1%
180 3
0.2%
185 2
0.1%
190 2
0.1%
198 1
0.1%
200 66
3.4%
205 1
0.1%
208 1
0.1%
210 5
0.3%
215 1
0.1%
220 17
0.9%
225 2
0.1%
240 2
0.1%
250 17
0.9%
252 1
0.1%
253 1
0.1%
260 4
0.2%
264 2
0.1%
265 2
0.1%
269 1
0.1%
270 2
0.1%
280 7
0.4%
284.5 1
0.1%
290 1
0.1%
291 1
0.1%
298 1
0.1%
300 70
3.6%
304 1
0.1%
310 1
0.1%
315 3
0.2%
316 1
0.1%
320 3
0.2%
322 1
0.1%
330 9
0.5%
340 2
0.1%
350 13
0.7%
355 1
0.1%
356 1
0.1%
360 3
0.2%
365 1
0.1%
370 1
0.1%
375 1
0.1%
380 4
0.2%
385 1
0.1%
390 1
0.1%
400 42
2.2%
405 1
0.1%
420 4
0.2%
422 1
0.1%
430 1
0.1%
435 1
0.1%
437 1
0.1%
440 5
0.3%
445 2
0.1%
450 8
0.4%
460 5
0.3%
465 1
0.1%
470 2
0.1%
471 1
0.1%
480 1
0.1%
490 1
0.1%
495 2
0.1%
496 1
0.1%
500 63
3.2%
512 1
0.1%
516 1
0.1%
520 1
0.1%
524 1
0.1%
525 1
0.1%
530 1
0.1%
536 1
0.1%
540 1
0.1%
550 7
0.4%
560 2
0.1%
570 1
0.1%
575 1
0.1%
579 1
0.1%
580 4
0.2%
582 1
0.1%
596 1
0.1%
600 37
1.9%
620 1
0.1%
624 1
0.1%
630 5
0.3%
636 1
0.1%
640 2
0.1%
650 11
0.6%
660 2
0.1%
668 1
0.1%
670 1
0.1%
675 1
0.1%
680 4
0.2%
685 1
0.1%
690 2
0.1%
700 30
1.5%
705 1
0.1%
708 1
0.1%
710 2
0.1%
720 3
0.2%
730 1
0.1%
735 1
0.1%
750 6
0.3%
755 1
0.1%
766 1
0.1%
780 3
0.2%
795 1
0.1%
800 41
2.1%
810 1
0.1%
812 1
0.1%
820 6
0.3%
822 1
0.1%
825 1
0.1%
832 1
0.1%
840 3
0.2%
850 3
0.2%
869 1
0.1%
870 1
0.1%
890 3
0.2%
900 9
0.5%
910 3
0.2%
920 3
0.2%
925 1
0.1%
930 1
0.1%
940 1
0.1%
950 5
0.3%
952 1
0.1%
960 1
0.1%
962 1
0.1%
968 1
0.1%
980 2
0.1%
985 1
0.1%
990 1
0.1%
1000 82
4.2%
1005 1
0.1%
1020 1
0.1%
1022 1
0.1%
1025 1
0.1%
1040 1
0.1%
1050 5
0.3%
1060 1
0.1%
1070 1
0.1%
1080 1
0.1%
1088 2
0.1%
1090 1
0.1%
1093 1
0.1%
1095 1
0.1%
1100 3
0.2%
1115 2
0.1%
1120 1
0.1%
1134 1
0.1%
1150 2
0.1%
1155 1
0.1%
1160 1
0.1%
1170 1
0.1%
1190 2
0.1%
1195 2
0.1%
1200 45
2.3%
1216 1
0.1%
1220 1
0.1%
1222 1
0.1%
1240 1
0.1%
1250 5
0.3%
1260 1
0.1%
1280 1
0.1%
1295 1
0.1%
1300 6
0.3%
1325 1
0.1%
1335 1
0.1%
1340 1
0.1%
1350 1
0.1%
1360 1
0.1%
1380 1
0.1%
1390 1
0.1%
1400 11
0.6%
1410 1
0.1%
1420 2
0.1%
1445 1
0.1%
1450 2
0.1%
1480 4
0.2%
1500 61
3.1%
1540 1
0.1%
1568 1
0.1%
1570 3
0.2%
1578 1
0.1%
1600 17
0.9%
1610 1
0.1%
1625 1
0.1%
1630 1
0.1%
1640 2
0.1%
1660 1
0.1%
1670 1
0.1%
1680 1
0.1%
1686 1
0.1%
1700 9
0.5%
1740 2
0.1%
1750 2
0.1%
1760 2
0.1%
1783 1
0.1%
1800 14
0.7%
1813 1
0.1%
1840 1
0.1%
1850 2
0.1%
1860 2
0.1%
1900 2
0.1%
1904 1
0.1%
1910 1
0.1%
1950 1
0.1%
1970 1
0.1%
1980 1
0.1%
1990 1
0.1%
2000 74
3.8%
2040 2
0.1%
2059 1
0.1%
2060 1
0.1%
2100 4
0.2%
2110 1
0.1%
2140 2
0.1%
2150 2
0.1%
2180 2
0.1%
2200 7
0.4%
2225 1
0.1%
2230 1
0.1%
2250 3
0.2%
2270 1
0.1%
2273 1
0.1%
2290 1
0.1%
2300 7
0.4%
2310 1
0.1%
2320 2
0.1%
2340 1
0.1%
2350 1
0.1%
2360 1
0.1%
2380 1
0.1%
2400 7
0.4%
2440 1
0.1%
2450 1
0.1%
2475 1
0.1%
2478 1
0.1%
2500 36
1.9%
2512 1
0.1%
2525 1
0.1%
2560 1
0.1%
2573 1
0.1%
2600 7
0.4%
2620 1
0.1%
2640 1
0.1%
2650 1
0.1%
2660 1
0.1%
2700 2
0.1%
2750 3
0.2%
2800 5
0.3%
2804 1
0.1%
2832 1
0.1%
2840 1
0.1%
2850 1
0.1%
2860 1
0.1%
2868 1
0.1%
2900 3
0.2%
2960 1
0.1%
3000 63
3.2%
3015 1
0.1%
3039 1
0.1%
3060 2
0.1%
3065 1
0.1%
3096 1
0.1%
3100 3
0.2%
3104 1
0.1%
3150 2
0.1%
3200 2
0.1%
3220 1
0.1%
3300 2
0.1%
3350 1
0.1%
3400 1
0.1%
3446 1
0.1%
3460 1
0.1%
3480 1
0.1%
3500 23
1.2%
3540 1
0.1%
3570 1
0.1%
3575 1
0.1%
3600 2
0.1%
3670 1
0.1%
3700 2
0.1%
3750 1
0.1%
3865 1
0.1%
3885 1
0.1%
3900 1
0.1%
3930 1
0.1%
3950 1
0.1%
3980 1
0.1%
4000 27
1.4%
4020 1
0.1%
4050 2
0.1%
4100 1
0.1%
4155 1
0.1%
4160 1
0.1%
4200 3
0.2%
4270 1
0.1%
4300 2
0.1%
4425 1
0.1%
4440 1
0.1%
4460 1
0.1%
4500 5
0.3%
4560 1
0.1%
4580 1
0.1%
4590 2
0.1%
4600 1
0.1%
4660 1
0.1%
4800 1
0.1%
4830 1
0.1%
4950 1
0.1%
5000 24
1.2%
5045 1
0.1%
5055 1
0.1%
5100 1
0.1%
5400 1
0.1%
5480 1
0.1%
5500 1
0.1%
5575 2
0.1%
5580 1
0.1%
5737 1
0.1%
5800 1
0.1%
5850 1
0.1%
5960 1
0.1%
6000 16
0.8%
6072 1
0.1%
6100 1
0.1%
6129 1
0.1%
6150 1
0.1%
6255 1
0.1%
6270 1
0.1%
6300 1
0.1%
6330 1
0.1%
6500 2
0.1%
6770 1
0.1%
6780 1
0.1%
7000 10
0.5%
7100 1
0.1%
7660 1
0.1%
7680 1
0.1%
7920 1
0.1%
8000 7
0.4%
8210 1
0.1%
8798 1
0.1%
9000 3
0.2%
9100 1
0.1%
9700 1
0.1%
9800 2
0.1%
10000 9
0.5%
10145 1
0.1%
10980 1
0.1%
11000 4
0.2%
11200 1
0.1%
12000 9
0.5%
13000 1
0.1%
13500 1
0.1%
15000 1
0.1%
16000 1
0.1%
17100 1
0.1%
18000 1
0.1%
18100 1
0.1%
20000 1
0.1%
22500 1
0.1%
24000 1
0.1%
41106 1
0.1%
45000 1
0.1%
Sysmiss 3026
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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