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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.1.21 - Total spent on hired labor for crop/plot? (d121_c2_01)

Data file: iapp_baseline_data_for_publicuse

Overview

Valid: 1959
Invalid: 3011
Minimum: 0
Maximum: 45000
Type: Discrete
Decimal: 0
Start: 8890
End: 8894
Width: 5
Range: -66 - 45000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-66 SKIP 0
0%
0 534
27.3%
50 1
0.1%
70 1
0.1%
77 refuse 0
0%
88 dont know 0
0%
90 1
0.1%
99 missing 0
0%
100 9
0.5%
120 1
0.1%
125 1
0.1%
150 6
0.3%
160 1
0.1%
200 22
1.1%
225 1
0.1%
250 7
0.4%
280 1
0.1%
300 55
2.8%
350 6
0.3%
360 1
0.1%
400 42
2.1%
450 8
0.4%
480 1
0.1%
500 39
2%
520 1
0.1%
550 3
0.2%
600 67
3.4%
625 1
0.1%
650 2
0.1%
700 10
0.5%
750 15
0.8%
800 40
2%
840 2
0.1%
850 2
0.1%
880 2
0.1%
900 29
1.5%
920 1
0.1%
950 1
0.1%
960 2
0.1%
975 1
0.1%
1000 48
2.5%
1030 1
0.1%
1050 2
0.1%
1100 4
0.2%
1158 1
0.1%
1190 1
0.1%
1200 66
3.4%
1250 4
0.2%
1280 1
0.1%
1300 5
0.3%
1350 2
0.1%
1400 21
1.1%
1500 59
3%
1525 1
0.1%
1550 1
0.1%
1600 24
1.2%
1650 4
0.2%
1700 7
0.4%
1750 3
0.2%
1800 49
2.5%
1850 2
0.1%
1875 1
0.1%
1900 5
0.3%
1950 3
0.2%
2000 87
4.4%
2030 1
0.1%
2050 2
0.1%
2100 9
0.5%
2150 2
0.1%
2200 19
1%
2225 1
0.1%
2240 1
0.1%
2250 4
0.2%
2300 6
0.3%
2350 1
0.1%
2400 30
1.5%
2450 3
0.2%
2490 1
0.1%
2500 40
2%
2550 3
0.2%
2575 1
0.1%
2600 6
0.3%
2640 1
0.1%
2700 11
0.6%
2740 1
0.1%
2800 16
0.8%
2860 1
0.1%
2880 1
0.1%
2900 4
0.2%
2950 1
0.1%
3000 67
3.4%
3050 1
0.1%
3100 7
0.4%
3150 1
0.1%
3200 12
0.6%
3250 1
0.1%
3300 3
0.2%
3400 3
0.2%
3420 1
0.1%
3500 20
1%
3540 1
0.1%
3550 1
0.1%
3560 1
0.1%
3600 12
0.6%
3700 3
0.2%
3740 1
0.1%
3750 3
0.2%
3800 9
0.5%
3850 1
0.1%
3900 1
0.1%
4000 40
2%
4050 2
0.1%
4100 2
0.1%
4200 7
0.4%
4300 2
0.1%
4320 1
0.1%
4390 1
0.1%
4400 3
0.2%
4450 1
0.1%
4500 14
0.7%
4520 1
0.1%
4550 1
0.1%
4580 1
0.1%
4600 7
0.4%
4700 2
0.1%
4800 11
0.6%
4832 1
0.1%
4900 1
0.1%
4950 2
0.1%
5000 32
1.6%
5100 1
0.1%
5120 1
0.1%
5150 2
0.1%
5200 7
0.4%
5400 5
0.3%
5500 2
0.1%
5550 2
0.1%
5600 4
0.2%
5640 1
0.1%
5650 1
0.1%
5700 3
0.2%
5800 2
0.1%
5950 1
0.1%
6000 26
1.3%
6300 2
0.1%
6400 2
0.1%
6485 1
0.1%
6500 3
0.2%
6600 2
0.1%
6750 1
0.1%
6800 3
0.2%
6900 3
0.2%
7000 13
0.7%
7040 1
0.1%
7150 1
0.1%
7200 1
0.1%
7300 1
0.1%
7370 1
0.1%
7400 1
0.1%
7500 4
0.2%
7600 2
0.1%
7800 5
0.3%
8000 13
0.7%
8025 1
0.1%
8050 1
0.1%
8200 2
0.1%
8250 1
0.1%
8525 1
0.1%
8700 1
0.1%
8800 1
0.1%
8900 1
0.1%
9000 4
0.2%
9020 1
0.1%
9200 1
0.1%
9400 1
0.1%
9500 3
0.2%
9600 1
0.1%
9700 1
0.1%
9800 1
0.1%
10000 10
0.5%
10100 1
0.1%
10360 1
0.1%
10400 1
0.1%
10500 1
0.1%
11000 2
0.1%
11200 1
0.1%
11300 2
0.1%
12000 7
0.4%
12400 1
0.1%
12500 3
0.2%
13000 2
0.1%
13200 1
0.1%
14800 1
0.1%
15000 3
0.2%
15900 1
0.1%
16000 2
0.1%
16500 1
0.1%
17350 1
0.1%
17500 1
0.1%
18000 1
0.1%
18100 1
0.1%
18900 1
0.1%
20000 2
0.1%
21000 1
0.1%
25000 2
0.1%
35000 1
0.1%
45000 1
0.1%
Sysmiss 3011
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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