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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
175072
Downloads
30353
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  • iapp_baseline_data_for_publicuse

I.2.2 - HH consumption in last 12 months (i22_3)

Data file: iapp_baseline_data_for_publicuse

Overview

Valid: 3696
Invalid: 1274
Minimum: 0
Maximum: 57600
Type: Discrete
Decimal: 0
Start: 19510
End: 19514
Width: 5
Range: 0 - 57600
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 none 162
4.4%
15 1
0%
20 3
0.1%
30 4
0.1%
40 3
0.1%
48 1
0%
50 17
0.5%
60 6
0.2%
70 1
0%
77 refused 0
0%
80 11
0.3%
88 don't know 0
0%
90 2
0.1%
99 missing 0
0%
100 43
1.2%
110 1
0%
112 1
0%
120 4
0.1%
130 1
0%
140 2
0.1%
150 13
0.4%
160 2
0.1%
170 2
0.1%
175 1
0%
180 9
0.2%
190 1
0%
200 68
1.8%
210 1
0%
220 1
0%
240 5
0.1%
250 7
0.2%
252 1
0%
260 2
0.1%
280 2
0.1%
290 1
0%
300 43
1.2%
310 1
0%
320 3
0.1%
330 1
0%
340 3
0.1%
350 1
0%
360 6
0.2%
365 2
0.1%
380 4
0.1%
400 67
1.8%
405 1
0%
420 1
0%
430 1
0%
440 2
0.1%
450 8
0.2%
480 4
0.1%
500 84
2.3%
520 3
0.1%
540 5
0.1%
550 4
0.1%
575 1
0%
595 2
0.1%
600 47
1.3%
605 1
0%
610 1
0%
625 1
0%
640 2
0.1%
645 1
0%
650 6
0.2%
670 1
0%
680 1
0%
700 42
1.1%
720 5
0.1%
730 3
0.1%
750 5
0.1%
760 2
0.1%
790 1
0%
800 104
2.8%
820 1
0%
825 1
0%
840 3
0.1%
850 6
0.2%
860 1
0%
880 2
0.1%
884 1
0%
890 3
0.1%
900 25
0.7%
912 1
0%
915 1
0%
920 3
0.1%
950 2
0.1%
960 3
0.1%
970 1
0%
980 1
0%
990 1
0%
1000 218
5.9%
1010 1
0%
1020 1
0%
1040 1
0%
1050 3
0.1%
1070 1
0%
1080 23
0.6%
1095 14
0.4%
1100 21
0.6%
1110 1
0%
1130 2
0.1%
1140 2
0.1%
1150 9
0.2%
1159 1
0%
1160 1
0%
1200 130
3.5%
1210 3
0.1%
1215 1
0%
1250 5
0.1%
1260 2
0.1%
1277 1
0%
1280 2
0.1%
1300 18
0.5%
1310 1
0%
1320 2
0.1%
1350 3
0.1%
1380 1
0%
1400 37
1%
1425 1
0%
1430 1
0%
1440 5
0.1%
1450 4
0.1%
1460 21
0.6%
1485 1
0%
1490 2
0.1%
1495 1
0%
1500 121
3.3%
1520 1
0%
1540 1
0%
1550 3
0.1%
1560 1
0%
1600 53
1.4%
1620 7
0.2%
1640 2
0.1%
1650 3
0.1%
1660 1
0%
1665 1
0%
1675 1
0%
1680 2
0.1%
1700 18
0.5%
1703 1
0%
1720 2
0.1%
1750 2
0.1%
1780 1
0%
1800 114
3.1%
1820 6
0.2%
1825 14
0.4%
1830 1
0%
1850 3
0.1%
1870 1
0%
1890 1
0%
1895 1
0%
1900 8
0.2%
1920 3
0.1%
1946 2
0.1%
1950 2
0.1%
2000 299
8.1%
2011 1
0%
2015 1
0%
2040 1
0%
2050 5
0.1%
2080 1
0%
2100 31
0.8%
2110 1
0%
2120 4
0.1%
2150 2
0.1%
2160 21
0.6%
2175 1
0%
2180 1
0%
2183 1
0%
2190 20
0.5%
2200 32
0.9%
2210 1
0%
2230 1
0%
2240 2
0.1%
2270 1
0%
2295 1
0%
2300 9
0.2%
2310 2
0.1%
2320 1
0%
2350 1
0%
2400 32
0.9%
2440 1
0%
2450 1
0%
2460 1
0%
2500 73
2%
2520 3
0.1%
2540 1
0%
2550 3
0.1%
2555 8
0.2%
2600 9
0.2%
2620 1
0%
2700 9
0.2%
2738 1
0%
2760 1
0%
2800 28
0.8%
2820 2
0.1%
2840 1
0%
2850 2
0.1%
2860 1
0%
2880 13
0.4%
2900 3
0.1%
2920 17
0.5%
2950 1
0%
2960 1
0%
2970 1
0%
3000 173
4.7%
3020 1
0%
3024 1
0%
3075 1
0%
3080 1
0%
3100 2
0.1%
3200 23
0.6%
3210 1
0%
3220 1
0%
3240 6
0.2%
3250 4
0.1%
3260 1
0%
3280 1
0%
3285 11
0.3%
3300 8
0.2%
3340 2
0.1%
3370 2
0.1%
3400 13
0.4%
3406 2
0.1%
3440 1
0%
3450 1
0%
3475 1
0%
3500 48
1.3%
3510 1
0%
3540 1
0%
3550 1
0%
3580 2
0.1%
3600 51
1.4%
3620 1
0%
3640 1
0%
3650 23
0.6%
3656 1
0%
3660 1
0%
3700 2
0.1%
3780 1
0%
3800 11
0.3%
3810 1
0%
3840 1
0%
3850 1
0%
3870 1
0%
3875 2
0.1%
3900 3
0.1%
3920 1
0%
4000 154
4.2%
4100 3
0.1%
4120 2
0.1%
4200 12
0.3%
4210 1
0%
4220 1
0%
4230 1
0%
4240 1
0%
4300 4
0.1%
4320 6
0.2%
4350 1
0%
4360 1
0%
4365 1
0%
4380 20
0.5%
4400 1
0%
4463 1
0%
4475 1
0%
4490 1
0%
4500 26
0.7%
4560 1
0%
4600 4
0.1%
4700 7
0.2%
4760 1
0%
4780 1
0%
4800 9
0.2%
5000 101
2.7%
5040 3
0.1%
5100 1
0%
5110 2
0.1%
5120 3
0.1%
5200 8
0.2%
5240 1
0%
5270 1
0%
5400 16
0.4%
5408 1
0%
5440 1
0%
5475 14
0.4%
5480 1
0%
5500 12
0.3%
5600 4
0.1%
5670 1
0%
5700 4
0.1%
5715 1
0%
5740 1
0%
5760 6
0.2%
5800 4
0.1%
5840 6
0.2%
5850 1
0%
5900 1
0%
6000 57
1.5%
6050 1
0%
6080 1
0%
6120 2
0.1%
6195 1
0%
6230 1
0%
6270 1
0%
6340 1
0%
6400 2
0.1%
6500 7
0.2%
6520 1
0%
6570 2
0.1%
6660 1
0%
6700 1
0%
6720 1
0%
6790 1
0%
6800 1
0%
6813 1
0%
6950 1
0%
7000 33
0.9%
7095 1
0%
7125 1
0%
7200 13
0.4%
7300 14
0.4%
7500 4
0.1%
7600 2
0.1%
7640 1
0%
7750 2
0.1%
7810 1
0%
8000 41
1.1%
8030 1
0%
8100 1
0%
8200 3
0.1%
8380 1
0%
8500 5
0.1%
8580 1
0%
8640 1
0%
8725 1
0%
8760 2
0.1%
8960 1
0%
9000 8
0.2%
9100 1
0%
9200 1
0%
9500 2
0.1%
9600 1
0%
9800 1
0%
9840 1
0%
10000 40
1.1%
10220 1
0%
10250 1
0%
10950 6
0.2%
11000 4
0.1%
11680 3
0.1%
11792 1
0%
11840 1
0%
12000 5
0.1%
12045 1
0%
12166 1
0%
12600 2
0.1%
12800 1
0%
13000 1
0%
13200 1
0%
13650 1
0%
14000 2
0.1%
14400 1
0%
14500 3
0.1%
14600 2
0.1%
15000 9
0.2%
16000 1
0%
16320 1
0%
16425 1
0%
17000 2
0.1%
18000 7
0.2%
18250 3
0.1%
19000 1
0%
20000 8
0.2%
20440 1
0%
21000 1
0%
21600 1
0%
23200 1
0%
25000 1
0%
26160 1
0%
28000 2
0.1%
29200 1
0%
30000 1
0%
57600 1
0%
Sysmiss 1274
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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