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
Get Microdata
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
212925
Downloads
402

D.1.18 - Total spent on inputs (d118_c2_04)

Data file: iapp_baseline_data_for_publicuse

Overview

Valid: 1135
Invalid: 3835
Minimum: 0
Maximum: 20000
Type: Discrete
Decimal: 0
Start: 8286
End: 8290
Width: 5
Range: -66 - 20000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-66 SKIP 0
0%
0 149
13.1%
7 1
0.1%
10 2
0.2%
15 3
0.3%
20 11
1%
22 12
1.1%
23 1
0.1%
25 2
0.2%
28 1
0.1%
30 3
0.3%
33 1
0.1%
40 13
1.1%
42 1
0.1%
44 15
1.3%
48 1
0.1%
50 31
2.7%
55 2
0.2%
60 10
0.9%
70 7
0.6%
75 3
0.3%
77 refuse 0
0%
80 5
0.4%
85 1
0.1%
86 1
0.1%
88 dont know 0
0%
90 3
0.3%
95 5
0.4%
99 missing 0
0%
100 71
6.3%
105 2
0.2%
110 15
1.3%
114 1
0.1%
119 1
0.1%
120 11
1%
125 4
0.4%
126 1
0.1%
127 1
0.1%
128 2
0.2%
130 3
0.3%
132 1
0.1%
135 1
0.1%
140 3
0.3%
145 1
0.1%
150 28
2.5%
154 2
0.2%
160 4
0.4%
166 1
0.1%
170 1
0.1%
175 1
0.1%
180 6
0.5%
185 1
0.1%
186 1
0.1%
187 1
0.1%
188 1
0.1%
190 1
0.1%
195 1
0.1%
200 79
7%
205 1
0.1%
210 2
0.2%
215 1
0.1%
220 12
1.1%
226 1
0.1%
230 2
0.2%
240 2
0.2%
250 26
2.3%
252 1
0.1%
260 1
0.1%
265 2
0.2%
280 8
0.7%
290 1
0.1%
300 46
4.1%
305 1
0.1%
310 2
0.2%
315 1
0.1%
320 3
0.3%
330 1
0.1%
333 1
0.1%
340 1
0.1%
350 13
1.1%
360 2
0.2%
362 1
0.1%
370 2
0.2%
380 2
0.2%
385 1
0.1%
393 1
0.1%
395 1
0.1%
396 1
0.1%
400 37
3.3%
404 1
0.1%
416 1
0.1%
420 4
0.4%
423 1
0.1%
429 1
0.1%
441 1
0.1%
447 1
0.1%
450 9
0.8%
463 1
0.1%
470 1
0.1%
475 1
0.1%
500 47
4.1%
520 4
0.4%
525 1
0.1%
550 2
0.2%
560 3
0.3%
572 1
0.1%
590 2
0.2%
600 35
3.1%
625 1
0.1%
630 1
0.1%
640 1
0.1%
650 3
0.3%
655 1
0.1%
660 1
0.1%
678 1
0.1%
690 3
0.3%
700 18
1.6%
733 1
0.1%
740 2
0.2%
750 2
0.2%
769 1
0.1%
770 1
0.1%
780 2
0.2%
800 42
3.7%
830 1
0.1%
840 1
0.1%
850 1
0.1%
875 1
0.1%
890 1
0.1%
900 6
0.5%
912 1
0.1%
920 2
0.2%
930 1
0.1%
940 1
0.1%
944 1
0.1%
945 1
0.1%
951 1
0.1%
960 1
0.1%
970 1
0.1%
980 1
0.1%
1000 46
4.1%
1050 1
0.1%
1060 1
0.1%
1076 1
0.1%
1100 1
0.1%
1116 1
0.1%
1120 1
0.1%
1160 1
0.1%
1200 16
1.4%
1250 3
0.3%
1260 1
0.1%
1300 6
0.5%
1310 1
0.1%
1350 1
0.1%
1353 1
0.1%
1375 1
0.1%
1378 1
0.1%
1400 2
0.2%
1470 1
0.1%
1500 23
2%
1520 1
0.1%
1525 1
0.1%
1578 1
0.1%
1600 3
0.3%
1650 1
0.1%
1700 2
0.2%
1750 1
0.1%
1800 7
0.6%
1820 1
0.1%
1870 1
0.1%
2000 19
1.7%
2010 1
0.1%
2050 1
0.1%
2070 1
0.1%
2100 1
0.1%
2160 1
0.1%
2200 1
0.1%
2380 1
0.1%
2500 8
0.7%
2670 1
0.1%
2700 2
0.2%
2800 1
0.1%
2850 1
0.1%
2980 1
0.1%
3000 10
0.9%
3040 1
0.1%
3200 1
0.1%
3275 1
0.1%
3300 1
0.1%
3400 1
0.1%
3500 2
0.2%
3650 1
0.1%
3800 1
0.1%
3860 1
0.1%
4000 1
0.1%
4200 1
0.1%
4500 1
0.1%
5000 4
0.4%
5800 1
0.1%
6000 2
0.2%
6200 1
0.1%
7000 1
0.1%
7200 1
0.1%
8000 1
0.1%
9000 1
0.1%
10200 1
0.1%
13000 1
0.1%
16000 1
0.1%
20000 1
0.1%
Sysmiss 3835
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.
Back to Catalog