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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
177520
Downloads
352
  • Study Description
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  • iapp_baseline_data_for_publicuse

D.5.12 - How much did you spend on urea? (d512_07)

Data file: iapp_baseline_data_for_publicuse

Overview

Valid: 305
Invalid: 4665
Minimum: 0
Maximum: 5250
Type: Discrete
Decimal: 0
Start: 14533
End: 14536
Width: 4
Range: 0 - 5250
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 1
0.3%
11 1
0.3%
20 2
0.7%
22 4
1.3%
25 2
0.7%
40 1
0.3%
42 1
0.3%
44 3
1%
45 1
0.3%
50 2
0.7%
60 1
0.3%
77 refused 0
0%
80 2
0.7%
83 1
0.3%
88 don't know 0
0%
91 1
0.3%
92 1
0.3%
99 missing 0
0%
100 5
1.6%
110 10
3.3%
120 1
0.3%
121 1
0.3%
125 3
1%
132 4
1.3%
140 1
0.3%
142 1
0.3%
154 3
1%
165 1
0.3%
176 3
1%
180 1
0.3%
198 2
0.7%
200 13
4.3%
210 4
1.3%
220 21
6.9%
240 1
0.3%
242 1
0.3%
250 1
0.3%
252 1
0.3%
255 1
0.3%
264 3
1%
270 1
0.3%
273 1
0.3%
286 2
0.7%
297 1
0.3%
300 15
4.9%
315 2
0.7%
330 9
3%
340 1
0.3%
345 1
0.3%
350 1
0.3%
360 2
0.7%
374 1
0.3%
375 1
0.3%
396 1
0.3%
400 13
4.3%
430 1
0.3%
440 10
3.3%
450 2
0.7%
480 1
0.3%
484 1
0.3%
495 1
0.3%
500 8
2.6%
525 1
0.3%
528 1
0.3%
550 7
2.3%
572 1
0.3%
600 10
3.3%
616 1
0.3%
618 1
0.3%
620 1
0.3%
630 2
0.7%
640 2
0.7%
660 5
1.6%
666 1
0.3%
700 7
2.3%
724 1
0.3%
726 1
0.3%
750 1
0.3%
770 2
0.7%
800 7
2.3%
818 1
0.3%
836 1
0.3%
840 3
1%
880 7
2.3%
940 1
0.3%
950 1
0.3%
990 2
0.7%
1000 17
5.6%
1020 1
0.3%
1040 1
0.3%
1050 1
0.3%
1100 3
1%
1200 5
1.6%
1270 1
0.3%
1400 1
0.3%
1500 3
1%
1650 1
0.3%
1925 1
0.3%
1980 1
0.3%
2000 7
2.3%
2020 1
0.3%
2200 3
1%
2400 1
0.3%
2600 1
0.3%
2625 1
0.3%
2640 1
0.3%
2700 1
0.3%
2750 1
0.3%
4000 1
0.3%
5250 1
0.3%
Sysmiss 4665
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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