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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_c2_01)

Data file: iapp_baseline_data_for_publicuse

Overview

Valid: 1957
Invalid: 3013
Minimum: 0
Maximum: 18000
Type: Discrete
Decimal: 0
Start: 4225
End: 4229
Width: 5
Range: -66 - 18000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-66 SKIP 0
0%
0 902
46.1%
20 4
0.2%
25 1
0.1%
30 3
0.2%
46 1
0.1%
50 15
0.8%
60 6
0.3%
77 refuse 0
0%
88 dont know 0
0%
99 missing 0
0%
100 28
1.4%
112 1
0.1%
120 9
0.5%
124 2
0.1%
128 1
0.1%
140 1
0.1%
146 1
0.1%
150 18
0.9%
155 1
0.1%
160 5
0.3%
175 1
0.1%
180 1
0.1%
192 1
0.1%
200 77
3.9%
215 1
0.1%
240 2
0.1%
250 11
0.6%
260 1
0.1%
300 46
2.4%
310 1
0.1%
315 1
0.1%
320 5
0.3%
330 2
0.1%
350 1
0.1%
360 2
0.1%
372 1
0.1%
384 1
0.1%
400 41
2.1%
405 1
0.1%
420 3
0.2%
450 4
0.2%
455 1
0.1%
460 1
0.1%
462 1
0.1%
480 3
0.2%
496 1
0.1%
500 59
3%
504 1
0.1%
520 1
0.1%
550 2
0.1%
558 1
0.1%
600 49
2.5%
620 2
0.1%
630 1
0.1%
640 2
0.1%
650 1
0.1%
660 1
0.1%
700 19
1%
702 1
0.1%
720 1
0.1%
740 1
0.1%
744 1
0.1%
750 5
0.3%
768 1
0.1%
769 1
0.1%
800 32
1.6%
840 2
0.1%
867 1
0.1%
868 1
0.1%
900 11
0.6%
925 1
0.1%
945 1
0.1%
950 2
0.1%
960 1
0.1%
1000 76
3.9%
1015 1
0.1%
1040 1
0.1%
1050 5
0.3%
1060 1
0.1%
1080 1
0.1%
1100 2
0.1%
1125 1
0.1%
1150 1
0.1%
1160 1
0.1%
1180 1
0.1%
1185 1
0.1%
1200 43
2.2%
1209 1
0.1%
1240 1
0.1%
1250 2
0.1%
1270 1
0.1%
1285 1
0.1%
1300 10
0.5%
1310 1
0.1%
1319 1
0.1%
1332 1
0.1%
1395 1
0.1%
1400 8
0.4%
1420 1
0.1%
1500 45
2.3%
1600 17
0.9%
1650 3
0.2%
1680 1
0.1%
1700 6
0.3%
1740 1
0.1%
1750 1
0.1%
1760 1
0.1%
1800 20
1%
1860 2
0.1%
1890 1
0.1%
1900 2
0.1%
1980 2
0.1%
2000 55
2.8%
2032 1
0.1%
2100 1
0.1%
2150 1
0.1%
2200 8
0.4%
2240 1
0.1%
2250 2
0.1%
2304 1
0.1%
2400 12
0.6%
2450 2
0.1%
2475 1
0.1%
2500 19
1%
2520 1
0.1%
2600 1
0.1%
2700 3
0.2%
2750 1
0.1%
2790 1
0.1%
2800 4
0.2%
2825 1
0.1%
2890 1
0.1%
3000 31
1.6%
3020 1
0.1%
3043 1
0.1%
3200 6
0.3%
3250 1
0.1%
3300 2
0.1%
3450 1
0.1%
3500 9
0.5%
3530 1
0.1%
3600 6
0.3%
3700 1
0.1%
3720 1
0.1%
3750 1
0.1%
3800 2
0.1%
3844 1
0.1%
3900 2
0.1%
4000 17
0.9%
4100 1
0.1%
4160 1
0.1%
4200 2
0.1%
4230 1
0.1%
4500 3
0.2%
4650 1
0.1%
4800 4
0.2%
5000 16
0.8%
5200 1
0.1%
5250 1
0.1%
5300 1
0.1%
5580 2
0.1%
5600 3
0.2%
5760 1
0.1%
5800 1
0.1%
6000 6
0.3%
6200 1
0.1%
6500 1
0.1%
6690 1
0.1%
6700 1
0.1%
7000 2
0.1%
7200 1
0.1%
7500 5
0.3%
7600 1
0.1%
8000 2
0.1%
8050 1
0.1%
8360 1
0.1%
8700 1
0.1%
9300 2
0.1%
9400 1
0.1%
9408 1
0.1%
10000 2
0.1%
11250 1
0.1%
11700 1
0.1%
12000 1
0.1%
12500 1
0.1%
13000 2
0.1%
14000 1
0.1%
15000 1
0.1%
18000 1
0.1%
Sysmiss 3013
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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