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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.1.15 - How much spent on irrigation? (d115_c1_03)

Data file: iapp_baseline_data_for_publicuse

Overview

Valid: 3292
Invalid: 1678
Minimum: 0
Maximum: 10000
Type: Discrete
Decimal: 0
Start: 4189
End: 4193
Width: 5
Range: -66 - 10000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-66 SKIP 0
0%
0 855
26%
20 3
0.1%
25 3
0.1%
28 1
0%
30 2
0.1%
32 1
0%
50 18
0.5%
52 1
0%
60 3
0.1%
63 2
0.1%
64 1
0%
65 1
0%
70 3
0.1%
75 2
0.1%
77 refuse 0
0%
80 4
0.1%
88 dont know 0
0%
89 1
0%
90 1
0%
93 1
0%
95 1
0%
96 2
0.1%
99 missing 0
0%
100 66
2%
105 1
0%
120 9
0.3%
124 2
0.1%
125 1
0%
130 1
0%
134 1
0%
140 2
0.1%
150 40
1.2%
160 6
0.2%
164 1
0%
170 2
0.1%
180 6
0.2%
186 1
0%
190 2
0.1%
192 1
0%
195 1
0%
198 1
0%
200 114
3.5%
210 3
0.1%
220 1
0%
225 2
0.1%
230 1
0%
240 9
0.3%
250 17
0.5%
260 3
0.1%
264 1
0%
270 6
0.2%
280 2
0.1%
300 142
4.3%
306 1
0%
310 2
0.1%
320 7
0.2%
325 2
0.1%
330 2
0.1%
340 3
0.1%
350 31
0.9%
360 11
0.3%
370 1
0%
375 1
0%
380 5
0.2%
384 1
0%
390 1
0%
400 131
4%
405 2
0.1%
410 1
0%
415 1
0%
420 7
0.2%
440 1
0%
450 22
0.7%
460 2
0.1%
462 1
0%
475 1
0%
476 1
0%
480 7
0.2%
490 1
0%
496 2
0.1%
499 1
0%
500 150
4.6%
512 1
0%
520 2
0.1%
530 3
0.1%
540 5
0.2%
550 8
0.2%
560 4
0.1%
570 1
0%
580 5
0.2%
600 133
4%
612 1
0%
620 4
0.1%
625 1
0%
630 1
0%
633 1
0%
635 1
0%
640 3
0.1%
650 13
0.4%
660 2
0.1%
670 3
0.1%
672 1
0%
675 2
0.1%
682 1
0%
693 2
0.1%
700 99
3%
710 1
0%
720 6
0.2%
740 1
0%
744 1
0%
745 1
0%
750 17
0.5%
753 1
0%
770 3
0.1%
775 2
0.1%
780 2
0.1%
790 1
0%
800 114
3.5%
806 1
0%
810 1
0%
816 1
0%
820 1
0%
821 1
0%
833 1
0%
840 3
0.1%
850 5
0.2%
855 1
0%
867 1
0%
870 2
0.1%
875 2
0.1%
890 1
0%
900 61
1.9%
910 1
0%
920 4
0.1%
930 2
0.1%
941 1
0%
945 1
0%
950 4
0.1%
960 4
0.1%
975 1
0%
980 2
0.1%
990 2
0.1%
996 1
0%
998 1
0%
1000 171
5.2%
1008 1
0%
1020 2
0.1%
1040 2
0.1%
1050 15
0.5%
1055 1
0%
1100 34
1%
1115 1
0%
1116 1
0%
1120 2
0.1%
1150 6
0.2%
1156 1
0%
1160 1
0%
1170 2
0.1%
1180 1
0%
1200 117
3.6%
1240 3
0.1%
1250 7
0.2%
1260 1
0%
1262 1
0%
1270 2
0.1%
1280 1
0%
1300 20
0.6%
1305 1
0%
1320 1
0%
1330 2
0.1%
1345 1
0%
1350 2
0.1%
1364 1
0%
1370 2
0.1%
1395 1
0%
1400 30
0.9%
1424 1
0%
1440 1
0%
1450 4
0.1%
1460 2
0.1%
1500 100
3%
1510 1
0%
1520 1
0%
1550 3
0.1%
1575 1
0%
1590 1
0%
1600 35
1.1%
1625 1
0%
1637 1
0%
1649 1
0%
1650 3
0.1%
1662 1
0%
1675 1
0%
1690 1
0%
1700 13
0.4%
1750 1
0%
1760 1
0%
1770 1
0%
1787 1
0%
1800 53
1.6%
1820 1
0%
1840 2
0.1%
1860 1
0%
1875 1
0%
1900 9
0.3%
1925 1
0%
1940 1
0%
1945 1
0%
1950 2
0.1%
1980 1
0%
2000 68
2.1%
2025 1
0%
2045 1
0%
2090 1
0%
2100 13
0.4%
2150 2
0.1%
2170 1
0%
2180 2
0.1%
2200 13
0.4%
2240 1
0%
2250 6
0.2%
2280 1
0%
2300 7
0.2%
2340 1
0%
2366 1
0%
2400 23
0.7%
2450 1
0%
2460 1
0%
2480 1
0%
2500 17
0.5%
2520 1
0%
2550 1
0%
2580 1
0%
2600 8
0.2%
2625 1
0%
2700 5
0.2%
2750 1
0%
2800 9
0.3%
2820 1
0%
2888 1
0%
2900 3
0.1%
2930 1
0%
3000 32
1%
3050 1
0%
3100 2
0.1%
3125 1
0%
3150 1
0%
3200 4
0.1%
3300 3
0.1%
3400 1
0%
3500 9
0.3%
3550 1
0%
3600 1
0%
3750 1
0%
3800 2
0.1%
3920 1
0%
4000 11
0.3%
4100 1
0%
4200 1
0%
4300 1
0%
4500 1
0%
4560 1
0%
4800 3
0.1%
4950 1
0%
4960 1
0%
4968 1
0%
5000 10
0.3%
5200 1
0%
5800 1
0%
6000 8
0.2%
6075 1
0%
6500 1
0%
6510 1
0%
7000 2
0.1%
8500 1
0%
8960 1
0%
10000 2
0.1%
Sysmiss 1678
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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