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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_c3_01)

Data file: iapp_baseline_data_for_publicuse

Overview

Valid: 947
Invalid: 4023
Minimum: 0
Maximum: 36000
Type: Discrete
Decimal: 0
Start: 8316
End: 8320
Width: 5
Range: -66 - 36000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-66 SKIP 0
0%
0 109
11.5%
8 1
0.1%
10 1
0.1%
20 8
0.8%
21 2
0.2%
22 5
0.5%
24 1
0.1%
25 1
0.1%
28 1
0.1%
30 6
0.6%
35 2
0.2%
38 1
0.1%
40 12
1.3%
44 6
0.6%
50 30
3.2%
53 1
0.1%
55 3
0.3%
60 12
1.3%
63 1
0.1%
68 1
0.1%
70 1
0.1%
72 1
0.1%
75 3
0.3%
77 refuse 0
0%
80 9
1%
85 1
0.1%
88 dont know 0
0%
90 3
0.3%
99 missing 0
0%
100 58
6.1%
110 14
1.5%
120 14
1.5%
130 2
0.2%
131 1
0.1%
135 1
0.1%
140 2
0.2%
150 21
2.2%
152 2
0.2%
160 4
0.4%
166 1
0.1%
168 1
0.1%
170 1
0.1%
171 1
0.1%
176 2
0.2%
180 5
0.5%
187 1
0.1%
188 1
0.1%
190 1
0.1%
196 1
0.1%
200 48
5.1%
210 3
0.3%
220 8
0.8%
230 1
0.1%
236 1
0.1%
240 2
0.2%
241 1
0.1%
242 1
0.1%
250 21
2.2%
257 1
0.1%
263 1
0.1%
264 1
0.1%
268 1
0.1%
269 1
0.1%
280 6
0.6%
285 1
0.1%
286 1
0.1%
290 1
0.1%
300 30
3.2%
317 1
0.1%
318 1
0.1%
320 2
0.2%
325 1
0.1%
330 2
0.2%
345 1
0.1%
350 3
0.3%
352 1
0.1%
360 3
0.3%
380 1
0.1%
400 25
2.6%
401 1
0.1%
405 1
0.1%
414 1
0.1%
420 2
0.2%
422 1
0.1%
435 1
0.1%
440 2
0.2%
445 1
0.1%
450 1
0.1%
460 1
0.1%
462 1
0.1%
470 1
0.1%
480 2
0.2%
500 36
3.8%
512 1
0.1%
520 1
0.1%
530 2
0.2%
550 4
0.4%
570 1
0.1%
580 1
0.1%
600 19
2%
610 1
0.1%
650 3
0.3%
660 3
0.3%
665 1
0.1%
670 1
0.1%
700 18
1.9%
710 1
0.1%
720 2
0.2%
740 1
0.1%
745 1
0.1%
750 5
0.5%
780 1
0.1%
790 1
0.1%
800 18
1.9%
835 1
0.1%
850 1
0.1%
851 1
0.1%
870 2
0.2%
878 1
0.1%
891 1
0.1%
900 5
0.5%
960 1
0.1%
966 1
0.1%
1000 27
2.9%
1030 1
0.1%
1050 2
0.2%
1095 1
0.1%
1100 1
0.1%
1140 1
0.1%
1160 1
0.1%
1185 1
0.1%
1190 1
0.1%
1200 14
1.5%
1220 2
0.2%
1230 1
0.1%
1250 2
0.2%
1263 1
0.1%
1300 4
0.4%
1320 1
0.1%
1330 1
0.1%
1350 3
0.3%
1360 1
0.1%
1400 5
0.5%
1440 1
0.1%
1463 1
0.1%
1500 15
1.6%
1570 1
0.1%
1600 3
0.3%
1610 1
0.1%
1640 1
0.1%
1650 1
0.1%
1700 1
0.1%
1740 1
0.1%
1750 1
0.1%
1800 2
0.2%
1835 1
0.1%
1860 1
0.1%
1870 1
0.1%
1880 1
0.1%
1900 2
0.2%
1916 1
0.1%
1920 1
0.1%
1960 1
0.1%
1975 1
0.1%
2000 37
3.9%
2060 1
0.1%
2100 1
0.1%
2150 1
0.1%
2200 6
0.6%
2230 1
0.1%
2250 1
0.1%
2275 1
0.1%
2324 1
0.1%
2400 2
0.2%
2410 1
0.1%
2500 12
1.3%
2590 1
0.1%
2680 1
0.1%
2700 1
0.1%
2750 1
0.1%
2800 1
0.1%
2856 1
0.1%
2980 1
0.1%
3000 18
1.9%
3200 3
0.3%
3250 1
0.1%
3260 1
0.1%
3300 2
0.2%
3500 5
0.5%
3640 1
0.1%
3700 1
0.1%
3702 1
0.1%
3725 1
0.1%
3730 1
0.1%
3800 1
0.1%
4000 8
0.8%
4500 1
0.1%
4900 1
0.1%
5000 7
0.7%
5200 1
0.1%
5500 2
0.2%
5600 1
0.1%
5650 1
0.1%
6000 4
0.4%
6384 1
0.1%
6420 1
0.1%
7000 2
0.2%
7400 1
0.1%
7500 1
0.1%
7850 1
0.1%
8000 1
0.1%
8045 1
0.1%
8500 1
0.1%
9000 1
0.1%
10000 1
0.1%
12400 2
0.2%
14800 1
0.1%
15000 1
0.1%
17200 1
0.1%
18000 1
0.1%
18500 2
0.2%
24000 1
0.1%
28000 1
0.1%
30000 1
0.1%
36000 1
0.1%
Sysmiss 4023
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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