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    Home / Central Data Catalog / ENTERPRISE_SURVEYS / BGD_2007_ES_V01_M_WB / variable [F1]
enterprise_surveys

Enterprise Survey 2007

Bangladesh, 2007
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Reference ID
BGD_2007_ES_v01_M_WB
DOI
https://doi.org/10.48529/dh3m-tv35
Producer(s)
World Bank
Collection(s)
Enterprise Surveys
Metadata
DDI/XML JSON
Created on
Mar 24, 2011
Last modified
Sep 26, 2013
Page views
75471
Downloads
1599
  • Study Description
  • Data Description
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  • Bangladesh-2007--full
    data-1

total annual expenditure for purchases of equipment in last fiscal yr (n5a)

Data file: Bangladesh-2007--full data-1

Overview

Valid: 1500
Valid (weighted): 26811.489
Invalid: 4
Invalid (weighted): 27.615
Minimum: 0
Maximum: 1890000000
Mean: 4497409.569
Mean (weighted): 2499636.159
Standard deviation: 54455567.722
Standard deviation (weighted): 46312567.735
Type: Discrete
Decimal: 0
Start: 3603
End: 3612
Width: 10
Range: -9 - 27000000
Format: Numeric
Weighted variable: V740

Questions and instructions

Literal question
In fiscal year 2005/6, how much did this establishment spend on purchases of:
Machinery, vehicles, and equipment (new or used)
Categories
Value Category Cases Weighted
0 785 14753
55%
5 1 15
0.1%
220 1 3
0%
1000 1 2
0%
1500 4 75
0.3%
2000 5 38
0.1%
2500 1 14
0.1%
2850 1 70
0.3%
3000 10 503
1.9%
3200 1 2
0%
3800 1 2
0%
4000 3 7
0%
4500 1 1
0%
5000 10 447
1.7%
6000 1 68
0.3%
6500 1 3
0%
7000 2 5
0%
7500 3 72
0.3%
8000 1 5
0%
10000 21 271
1%
12000 5 44
0.2%
14000 1 1
0%
15000 13 129
0.5%
16000 1 1
0%
17000 3 73
0.3%
18000 1 1
0%
20000 18 661
2.5%
25000 15 413
1.5%
26000 2 3
0%
27000 1 2
0%
28000 1 5
0%
30000 22 580
2.2%
35000 5 178
0.7%
40000 9 133
0.5%
42000 1 68
0.3%
43000 1 1
0%
45000 3 8
0%
46000 1 3
0%
50000 30 167
0.6%
52000 1 5
0%
60000 5 22
0.1%
65000 1 4
0%
70000 7 97
0.4%
74000 1 2
0%
75000 1 3
0%
79000 1 80
0.3%
80000 2 98
0.4%
85000 2 4
0%
88000 1 2
0%
90000 3 18
0.1%
95000 1 18
0.1%
100000 25 296
1.1%
110000 1 1
0%
117000 1 1
0%
120000 6 227
0.8%
125000 1 2
0%
130000 3 4
0%
135000 1 15
0.1%
139726 1 14
0.1%
150000 6 66
0.2%
152802 1 4
0%
153000 1 3
0%
155000 1 15
0.1%
172000 1 14
0.1%
180000 2 6
0%
194803 1 15
0.1%
200000 20 260
1%
220000 1 3
0%
224220 1 4
0%
225000 1 15
0.1%
230000 1 2
0%
240000 1 60
0.2%
250000 8 110
0.4%
252000 1 31
0.1%
257800 1 17
0.1%
260000 1 15
0.1%
280000 2 3
0%
287450 1 17
0.1%
300000 16 147
0.5%
314804 1 2
0%
330000 1 18
0.1%
340000 1 2
0%
350000 4 91
0.3%
360000 1 60
0.2%
381000 1 15
0.1%
400000 8 163
0.6%
406000 1 15
0.1%
414000 1 1
0%
450000 2 73
0.3%
470120 1 15
0.1%
484664 1 15
0.1%
500000 20 279
1%
507000 1 2
0%
538500 1 15
0.1%
560000 2 83
0.3%
575000 2 83
0.3%
600000 4 110
0.4%
605000 1 15
0.1%
644000 1 3
0%
650000 1 13
0%
682719 1 15
0.1%
700000 3 96
0.4%
720000 1 5
0%
731980 1 15
0.1%
775000 2 30
0.1%
800000 4 22
0.1%
860000 1 3
0%
900000 2 33
0.1%
925000 1 2
0%
954000 1 80
0.3%
1000000 28 918
3.4%
1025550 1 3
0%
1050000 2 18
0.1%
1072560 1 1
0%
1080000 1 15
0.1%
1200000 13 214
0.8%
1300000 1 3
0%
1378500 1 15
0.1%
1400000 2 17
0.1%
1482000 1 3
0%
1500000 13 247
0.9%
1510000 2 7
0%
1550000 1 15
0.1%
1565680 1 3
0%
1570000 1 15
0.1%
1600000 3 22
0.1%
1660031 1 68
0.3%
1700000 3 45
0.2%
1796182 1 3
0%
1800000 4 37
0.1%
1900000 1 17
0.1%
2000000 23 347
1.3%
2010000 1 3
0%
2023200 1 2
0%
2030000 1 2
0%
2038300 1 14
0.1%
2056000 1 31
0.1%
2090875 1 1
0%
2122746 1 15
0.1%
2200000 1 15
0.1%
2300000 2 16
0.1%
2321000 1 3
0%
2346550 1 60
0.2%
2400000 2 28
0.1%
2440000 1 3
0%
2500000 10 166
0.6%
2502000 1 3
0%
2598756 1 3
0%
2675900 1 3
0%
2680000 1 15
0.1%
2700000 1 343
1.3%
2892000 1 3
0%
2900000 1 3
0%
3000000 19 158
0.6%
3010000 1 15
0.1%
3050000 1 3
0%
3310000 1 2
0%
3362000 1 15
0.1%
3500000 5 42
0.2%
3504316 1 1
0%
3600000 1 4
0%
3650000 1 15
0.1%
3800000 1 4
0%
4000000 6 281
1%
4030000 2 19
0.1%
4055000 1 15
0.1%
4100000 1 3
0%
4200000 3 152
0.6%
4287500 1 15
0.1%
4500000 2 18
0.1%
4800000 1 15
0.1%
5000000 13 140
0.5%
5600000 1 3
0%
5800000 1 2
0%
5900000 1 68
0.3%
6000000 4 78
0.3%
6092000 1 4
0%
6400000 1 4
0%
6500000 2 30
0.1%
6600000 1 15
0.1%
6628687 1 3
0%
7000000 5 96
0.4%
7080000 1 15
0.1%
7200000 1 1
0%
7500000 5 103
0.4%
7689786 1 1
0%
8000000 8 101
0.4%
8500000 1 3
0%
8574000 1 3
0%
8638296 1 4
0%
8672500 1 4
0%
8795600 1 3
0%
9000000 1 3
0%
9225000 1 15
0.1%
9500000 1 4
0%
9600000 1 15
0.1%
10000000 6 107
0.4%
10500000 1 3
0%
11000000 1 3
0%
11600000 1 15
0.1%
12900000 1 3
0%
13000000 1 3
0%
13473500 1 3
0%
15000000 7 56
0.2%
15570000 1 4
0%
15605000 1 13
0%
17126801 1 4
0%
17896500 1 3
0%
18000000 1 1
0%
20000000 6 107
0.4%
20628000 1 15
0.1%
22000000 1 13
0%
23000000 1 15
0.1%
29400000 1 15
0.1%
30000000 2 18
0.1%
30488000 1 2
0%
32500000 1 15
0.1%
37365353 1 15
0.1%
38900000 1 4
0%
40000000 1 1
0%
48100000 1 4
0%
50000000 5 25
0.1%
50483217 1 68
0.3%
51288780 1 13
0%
55000000 1 2
0%
70000000 1 4
0%
73649000 1 3
0%
85000000 1 3
0%
87646254 1 4
0%
98493257 1 4
0%
115400000 1 3
0%
125000000 1 15
0.1%
150000000 2 7
0%
170000000 1 3
0%
300000000 1 4
0%
369065514 1 4
0%
401500000 1 1
0%
577835000 1 4
0%
1890000000 1 15
0.1%
-9 Don't know 3 23
-7 Does not apply 1 5
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.
Interviewer instructions
The category machinery, vehicles and equipment is the annual investment of anything used directly by this establishment to produce. Vehicles include transport and loading and unloading vehicles. It should include not only the purchase cost but also all other costs involved in the investment such as transport of the item and installation cost. Computer hardware should be considered under equipment

Land, buildings is the annual investment in land, buildings and structures used directly or indirectly by this establishment to produce goods and services.

Included are expenditures for new and used structures (including those under construction at the end of last complete fiscal year), fixtures and equipment, additions, major alterations and improvements to existing facilities, and capitalized repairs.
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