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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
213183
Downloads
402
  • Study Description
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  • iapp_baseline_data_for_publicuse

D.1.15 - How much spent on irrigation? (d115_c1_01)

Data file: iapp_baseline_data_for_publicuse

Overview

Valid: 3796
Invalid: 1174
Minimum: 0
Maximum: 35000
Type: Discrete
Decimal: 0
Start: 4179
End: 4183
Width: 5
Range: -66 - 35000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-66 SKIP 0
0%
0 825
21.7%
15 1
0%
20 2
0.1%
30 2
0.1%
40 1
0%
46 1
0%
50 10
0.3%
60 3
0.1%
65 1
0%
77 refuse 0
0%
80 1
0%
88 dont know 0
0%
99 missing 0
0%
100 24
0.6%
120 5
0.1%
135 1
0%
140 2
0.1%
145 1
0%
150 11
0.3%
160 1
0%
180 4
0.1%
186 3
0.1%
190 1
0%
195 1
0%
200 61
1.6%
210 2
0.1%
216 1
0%
217 1
0%
222 1
0%
225 1
0%
230 3
0.1%
240 6
0.2%
248 1
0%
250 18
0.5%
260 1
0%
270 3
0.1%
280 2
0.1%
290 1
0%
300 79
2.1%
310 3
0.1%
312 1
0%
320 4
0.1%
330 1
0%
340 1
0%
350 11
0.3%
360 9
0.2%
366 1
0%
370 1
0%
372 2
0.1%
375 2
0.1%
380 1
0%
396 1
0%
400 81
2.1%
410 1
0%
420 1
0%
425 1
0%
430 1
0%
432 1
0%
450 15
0.4%
455 1
0%
473 1
0%
475 1
0%
480 11
0.3%
496 3
0.1%
500 117
3.1%
520 1
0%
540 1
0%
550 5
0.1%
560 2
0.1%
567 1
0%
600 121
3.2%
604 1
0%
620 3
0.1%
630 4
0.1%
640 6
0.2%
650 7
0.2%
660 3
0.1%
675 1
0%
693 2
0.1%
700 73
1.9%
710 1
0%
712 1
0%
714 1
0%
720 10
0.3%
730 4
0.1%
732 1
0%
744 4
0.1%
748 1
0%
750 14
0.4%
768 2
0.1%
769 1
0%
770 2
0.1%
780 3
0.1%
792 2
0.1%
795 1
0%
800 118
3.1%
806 1
0%
810 2
0.1%
812 1
0%
825 1
0%
837 1
0%
840 4
0.1%
850 4
0.1%
870 1
0%
875 1
0%
880 1
0%
890 1
0%
900 52
1.4%
920 1
0%
924 1
0%
925 1
0%
930 2
0.1%
945 3
0.1%
950 6
0.2%
960 6
0.2%
980 2
0.1%
990 6
0.2%
992 1
0%
1000 200
5.3%
1020 1
0%
1025 1
0%
1034 1
0%
1040 1
0%
1050 14
0.4%
1060 1
0%
1068 1
0%
1080 4
0.1%
1090 1
0%
1100 24
0.6%
1110 1
0%
1120 2
0.1%
1125 2
0.1%
1150 3
0.1%
1152 1
0%
1155 1
0%
1172 1
0%
1180 4
0.1%
1190 1
0%
1200 169
4.5%
1210 1
0%
1230 1
0%
1240 5
0.1%
1244 1
0%
1245 2
0.1%
1250 12
0.3%
1260 2
0.1%
1280 3
0.1%
1285 1
0%
1290 1
0%
1300 29
0.8%
1320 1
0%
1323 1
0%
1340 1
0%
1344 1
0%
1350 10
0.3%
1360 1
0%
1376 1
0%
1380 1
0%
1388 1
0%
1390 1
0%
1400 42
1.1%
1405 1
0%
1412 1
0%
1420 1
0%
1426 1
0%
1428 1
0%
1430 1
0%
1440 5
0.1%
1445 1
0%
1450 4
0.1%
1485 2
0.1%
1488 2
0.1%
1490 1
0%
1500 140
3.7%
1512 1
0%
1530 2
0.1%
1550 2
0.1%
1560 3
0.1%
1575 5
0.1%
1600 35
0.9%
1620 2
0.1%
1625 2
0.1%
1630 1
0%
1632 1
0%
1636 1
0%
1640 4
0.1%
1650 6
0.2%
1657 1
0%
1660 1
0%
1674 1
0%
1675 1
0%
1677 1
0%
1680 1
0%
1700 16
0.4%
1718 1
0%
1720 1
0%
1735 1
0%
1740 2
0.1%
1750 13
0.3%
1785 1
0%
1800 70
1.8%
1820 1
0%
1830 1
0%
1850 2
0.1%
1860 6
0.2%
1875 3
0.1%
1880 1
0%
1900 9
0.2%
1950 5
0.1%
1964 1
0%
1970 1
0%
1980 1
0%
1990 1
0%
2000 172
4.5%
2075 1
0%
2080 1
0%
2090 1
0%
2100 29
0.8%
2120 1
0%
2150 2
0.1%
2170 7
0.2%
2180 1
0%
2200 23
0.6%
2210 1
0%
2220 2
0.1%
2240 3
0.1%
2250 3
0.1%
2275 2
0.1%
2300 8
0.2%
2350 2
0.1%
2365 1
0%
2366 1
0%
2400 36
0.9%
2450 2
0.1%
2460 1
0%
2470 1
0%
2472 1
0%
2480 6
0.2%
2485 1
0%
2500 76
2%
2505 1
0%
2510 1
0%
2520 2
0.1%
2535 1
0%
2550 2
0.1%
2570 1
0%
2590 1
0%
2600 7
0.2%
2625 1
0%
2630 1
0%
2640 1
0%
2650 1
0%
2690 2
0.1%
2700 14
0.4%
2750 2
0.1%
2770 1
0%
2790 1
0%
2800 19
0.5%
2825 1
0%
2850 2
0.1%
2860 1
0%
2880 2
0.1%
2900 3
0.1%
2960 1
0%
2988 1
0%
3000 128
3.4%
3020 1
0%
3055 1
0%
3060 2
0.1%
3068 1
0%
3100 3
0.1%
3120 2
0.1%
3150 3
0.1%
3175 1
0%
3200 14
0.4%
3250 1
0%
3265 1
0%
3280 1
0%
3300 9
0.2%
3348 1
0%
3360 1
0%
3400 1
0%
3445 1
0%
3450 1
0%
3488 1
0%
3500 26
0.7%
3530 1
0%
3600 18
0.5%
3720 2
0.1%
3750 1
0%
3755 1
0%
3780 2
0.1%
3785 1
0%
3800 5
0.1%
3820 1
0%
3840 2
0.1%
3843 1
0%
3844 1
0%
3850 1
0%
3890 1
0%
3900 6
0.2%
3912 1
0%
3960 4
0.1%
3990 1
0%
4000 60
1.6%
4095 1
0%
4100 2
0.1%
4154 1
0%
4200 6
0.2%
4225 2
0.1%
4240 1
0%
4294 1
0%
4320 2
0.1%
4340 2
0.1%
4350 1
0%
4387 1
0%
4400 3
0.1%
4440 1
0%
4450 1
0%
4480 1
0%
4500 20
0.5%
4520 1
0%
4550 1
0%
4576 1
0%
4600 2
0.1%
4700 1
0%
4800 11
0.3%
4882 1
0%
4900 4
0.1%
5000 36
0.9%
5040 3
0.1%
5090 1
0%
5185 1
0%
5200 2
0.1%
5220 1
0%
5250 1
0%
5300 1
0%
5400 3
0.1%
5500 2
0.1%
5530 1
0%
5580 1
0%
5600 5
0.1%
5650 1
0%
5670 1
0%
5796 1
0%
5800 4
0.1%
5850 1
0%
5936 1
0%
6000 31
0.8%
6076 1
0%
6100 1
0%
6200 5
0.1%
6240 1
0%
6300 1
0%
6352 1
0%
6400 2
0.1%
6500 3
0.1%
6600 1
0%
6861 1
0%
7000 12
0.3%
7020 1
0%
7100 1
0%
7200 5
0.1%
7300 1
0%
7440 1
0%
7500 3
0.1%
7590 1
0%
7600 1
0%
7800 1
0%
8000 5
0.1%
8050 1
0%
8400 1
0%
8500 1
0%
8900 1
0%
9000 2
0.1%
9072 1
0%
9090 1
0%
9300 2
0.1%
9360 1
0%
9450 1
0%
9900 1
0%
10000 8
0.2%
10560 1
0%
10800 1
0%
11000 1
0%
11250 1
0%
11700 2
0.1%
12000 6
0.2%
12400 1
0%
14000 1
0%
15000 3
0.1%
18000 1
0%
18900 1
0%
20000 1
0%
22400 1
0%
35000 1
0%
Sysmiss 1174
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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