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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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214933
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I.2.5 - Total value of sales in last 12 months (i25_2)

Data file: iapp_baseline_data_for_publicuse

Overview

Valid: 1301
Invalid: 3669
Minimum: 0
Maximum: 6000000
Type: Discrete
Decimal: 0
Start: 19572
End: 19578
Width: 7
Range: 0 - 6000000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 none 1
0.1%
8 1
0.1%
10 1
0.1%
15 1
0.1%
20 1
0.1%
35 1
0.1%
40 2
0.2%
48 2
0.2%
50 1
0.1%
60 3
0.2%
70 7
0.5%
75 4
0.3%
77 refused 0
0%
80 11
0.8%
88 don't know 0
0%
90 6
0.5%
96 1
0.1%
99 missing 0
0%
100 7
0.5%
105 1
0.1%
112 2
0.2%
120 14
1.1%
125 3
0.2%
128 1
0.1%
130 1
0.1%
140 11
0.8%
150 14
1.1%
160 27
2.1%
164 1
0.1%
165 1
0.1%
175 1
0.1%
180 6
0.5%
188 1
0.1%
189 1
0.1%
190 3
0.2%
192 2
0.2%
200 27
2.1%
210 15
1.2%
216 1
0.1%
220 1
0.1%
225 1
0.1%
240 22
1.7%
245 1
0.1%
250 5
0.4%
256 2
0.2%
260 1
0.1%
262 1
0.1%
270 4
0.3%
280 6
0.5%
288 1
0.1%
300 24
1.8%
312 2
0.2%
313 1
0.1%
315 1
0.1%
320 22
1.7%
340 1
0.1%
350 46
3.5%
360 12
0.9%
370 1
0.1%
375 7
0.5%
376 1
0.1%
380 1
0.1%
400 94
7.2%
420 8
0.6%
440 2
0.2%
444 1
0.1%
450 19
1.5%
480 24
1.8%
490 8
0.6%
496 1
0.1%
500 46
3.5%
520 2
0.2%
525 3
0.2%
540 1
0.1%
544 3
0.2%
550 1
0.1%
560 19
1.5%
580 1
0.1%
600 32
2.5%
630 6
0.5%
640 12
0.9%
664 1
0.1%
675 2
0.2%
680 1
0.1%
688 1
0.1%
700 49
3.8%
720 10
0.8%
744 1
0.1%
750 19
1.5%
760 1
0.1%
770 1
0.1%
800 128
9.8%
840 6
0.5%
875 5
0.4%
880 2
0.2%
900 26
2%
910 2
0.2%
950 3
0.2%
960 3
0.2%
980 1
0.1%
1000 33
2.5%
1044 1
0.1%
1050 14
1.1%
1060 1
0.1%
1080 2
0.2%
1100 1
0.1%
1120 5
0.4%
1125 2
0.2%
1152 1
0.1%
1170 2
0.2%
1188 1
0.1%
1190 1
0.1%
1200 37
2.8%
1225 1
0.1%
1248 1
0.1%
1260 2
0.2%
1274 1
0.1%
1280 4
0.3%
1296 1
0.1%
1300 1
0.1%
1330 1
0.1%
1350 6
0.5%
1360 3
0.2%
1400 12
0.9%
1410 1
0.1%
1440 3
0.2%
1450 1
0.1%
1500 14
1.1%
1520 1
0.1%
1560 1
0.1%
1600 35
2.7%
1620 2
0.2%
1640 1
0.1%
1680 2
0.2%
1700 3
0.2%
1736 1
0.1%
1750 1
0.1%
1800 14
1.1%
1840 3
0.2%
1875 2
0.2%
1890 1
0.1%
1900 1
0.1%
1920 1
0.1%
1930 1
0.1%
1950 3
0.2%
1960 1
0.1%
1980 1
0.1%
1988 1
0.1%
2000 22
1.7%
2030 1
0.1%
2058 1
0.1%
2070 1
0.1%
2080 2
0.2%
2100 11
0.8%
2150 1
0.1%
2190 1
0.1%
2250 2
0.2%
2275 1
0.1%
2320 2
0.2%
2400 20
1.5%
2450 2
0.2%
2480 1
0.1%
2500 4
0.3%
2509 1
0.1%
2560 1
0.1%
2600 1
0.1%
2640 2
0.2%
2700 1
0.1%
2800 14
1.1%
3000 10
0.8%
3040 1
0.1%
3080 1
0.1%
3200 9
0.7%
3440 1
0.1%
3500 3
0.2%
3600 5
0.4%
3680 2
0.2%
3840 1
0.1%
4000 6
0.5%
4200 3
0.2%
4350 1
0.1%
4354 1
0.1%
4400 1
0.1%
4500 1
0.1%
4800 3
0.2%
4960 1
0.1%
5000 1
0.1%
5400 1
0.1%
5500 2
0.2%
5600 1
0.1%
5950 1
0.1%
6000 2
0.2%
6160 1
0.1%
6300 1
0.1%
6304 1
0.1%
6400 3
0.2%
6500 1
0.1%
6570 1
0.1%
7200 4
0.3%
8000 1
0.1%
8100 1
0.1%
9000 2
0.2%
11100 1
0.1%
13125 1
0.1%
14400 1
0.1%
15000 2
0.2%
16000 2
0.2%
16920 1
0.1%
23200 1
0.1%
25600 1
0.1%
102200 1
0.1%
226450 1
0.1%
3945650 1
0.1%
6000000 1
0.1%
Sysmiss 3669
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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