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    Home / Central Data Catalog / DIME / BGD_2012_IAPPIE-BL_V01_M / variable [F1]
dime

Impact Evaluation of the Integrated Agricultural Productivity Project 2012, Baseline Household Survey

Bangladesh, 2012
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Reference ID
BGD_2012_IAPPIE-BL_v01_M
DOI
https://doi.org/10.48529/zmvq-vd69
Producer(s)
Florence Kondylis, Maria Jones, Daniel Stein
Collection(s)
Development Impact Evaluation (DIME) Impact Evaluation Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Apr 10, 2017
Last modified
Apr 10, 2017
Page views
295434
Downloads
30789
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  • iapp_baseline_data_for_publicuse

D.1.21 - Total spent on hired labor for crop/plot? (d121_c1_03)

Data file: iapp_baseline_data_for_publicuse

Overview

Valid: 3291
Invalid: 1679
Minimum: 0
Maximum: 100000
Type: Discrete
Decimal: 0
Start: 8849
End: 8854
Width: 6
Range: -66 - 100000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-66 SKIP 0
0%
0 778
23.6%
4 1
0%
50 2
0.1%
75 1
0%
77 refuse 0
0%
88 dont know 0
0%
99 missing 0
0%
100 6
0.2%
120 2
0.1%
140 1
0%
150 22
0.7%
160 2
0.1%
175 1
0%
200 46
1.4%
220 1
0%
230 1
0%
240 1
0%
250 16
0.5%
288 1
0%
300 62
1.9%
310 1
0%
320 2
0.1%
350 6
0.2%
360 3
0.1%
375 1
0%
380 1
0%
400 68
2.1%
430 1
0%
450 6
0.2%
480 2
0.1%
500 54
1.6%
528 1
0%
530 1
0%
550 3
0.1%
560 2
0.1%
600 117
3.6%
625 1
0%
630 2
0.1%
650 1
0%
670 2
0.1%
680 2
0.1%
700 34
1%
725 1
0%
750 20
0.6%
770 1
0%
800 111
3.4%
840 3
0.1%
850 4
0.1%
860 1
0%
875 1
0%
880 1
0%
900 50
1.5%
920 1
0%
930 1
0%
945 1
0%
950 2
0.1%
960 1
0%
980 1
0%
1000 173
5.3%
1050 6
0.2%
1060 1
0%
1075 1
0%
1090 1
0%
1100 24
0.7%
1120 2
0.1%
1142 1
0%
1150 5
0.2%
1160 1
0%
1180 1
0%
1200 141
4.3%
1245 1
0%
1247 1
0%
1250 10
0.3%
1260 1
0%
1285 1
0%
1300 21
0.6%
1320 1
0%
1325 1
0%
1330 1
0%
1350 6
0.2%
1360 1
0%
1370 1
0%
1375 1
0%
1380 2
0.1%
1386 1
0%
1390 1
0%
1400 63
1.9%
1440 1
0%
1450 5
0.2%
1500 123
3.7%
1520 2
0.1%
1550 4
0.1%
1560 1
0%
1600 63
1.9%
1620 1
0%
1650 9
0.3%
1680 2
0.1%
1700 25
0.8%
1725 1
0%
1730 2
0.1%
1743 1
0%
1750 5
0.2%
1795 1
0%
1800 93
2.8%
1820 2
0.1%
1850 4
0.1%
1853 1
0%
1880 1
0%
1900 12
0.4%
1950 5
0.2%
1965 1
0%
1970 1
0%
1980 1
0%
1990 1
0%
2000 141
4.3%
2020 1
0%
2040 1
0%
2050 2
0.1%
2100 37
1.1%
2120 1
0%
2150 6
0.2%
2160 1
0%
2200 43
1.3%
2250 10
0.3%
2290 1
0%
2300 20
0.6%
2340 1
0%
2350 1
0%
2360 1
0%
2400 49
1.5%
2450 3
0.1%
2500 64
1.9%
2550 2
0.1%
2600 26
0.8%
2610 1
0%
2640 2
0.1%
2650 1
0%
2670 1
0%
2675 1
0%
2690 1
0%
2700 14
0.4%
2730 1
0%
2750 2
0.1%
2800 28
0.9%
2850 3
0.1%
2900 5
0.2%
2950 3
0.1%
3000 85
2.6%
3050 3
0.1%
3100 8
0.2%
3150 2
0.1%
3200 20
0.6%
3240 1
0%
3250 4
0.1%
3300 7
0.2%
3350 4
0.1%
3400 6
0.2%
3450 3
0.1%
3485 1
0%
3500 26
0.8%
3520 1
0%
3540 1
0%
3550 1
0%
3570 1
0%
3600 17
0.5%
3660 1
0%
3700 3
0.1%
3750 3
0.1%
3800 13
0.4%
3840 1
0%
3850 2
0.1%
3900 4
0.1%
3950 2
0.1%
3977 1
0%
4000 49
1.5%
4050 1
0%
4100 2
0.1%
4200 9
0.3%
4220 1
0%
4300 2
0.1%
4400 7
0.2%
4410 1
0%
4500 25
0.8%
4600 4
0.1%
4650 1
0%
4680 1
0%
4700 3
0.1%
4730 1
0%
4750 1
0%
4800 7
0.2%
4815 1
0%
4850 1
0%
4900 4
0.1%
4950 1
0%
5000 30
0.9%
5035 1
0%
5100 1
0%
5150 1
0%
5175 1
0%
5200 3
0.1%
5250 2
0.1%
5300 3
0.1%
5400 6
0.2%
5500 8
0.2%
5600 3
0.1%
5700 3
0.1%
5720 1
0%
5800 3
0.1%
5850 1
0%
6000 20
0.6%
6100 4
0.1%
6150 1
0%
6200 2
0.1%
6300 2
0.1%
6400 1
0%
6500 2
0.1%
6600 2
0.1%
6635 1
0%
6650 1
0%
6700 2
0.1%
6800 2
0.1%
6840 1
0%
7000 3
0.1%
7200 3
0.1%
7440 1
0%
7500 1
0%
7550 1
0%
7600 1
0%
7780 1
0%
8000 13
0.4%
8125 1
0%
8500 1
0%
9000 4
0.1%
9100 3
0.1%
9500 1
0%
10000 9
0.3%
10500 2
0.1%
11000 3
0.1%
12000 2
0.1%
12700 1
0%
12960 1
0%
13000 1
0%
13500 1
0%
14000 1
0%
15000 3
0.1%
16000 1
0%
18000 2
0.1%
19800 1
0%
20000 2
0.1%
21000 1
0%
25000 1
0%
30000 2
0.1%
33200 1
0%
50000 1
0%
60000 1
0%
100000 1
0%
Sysmiss 1679
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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