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    Home / Central Data Catalog / ENTERPRISE_SURVEYS / BGD_2013_ES_V01_M / variable [F1]
enterprise_surveys

Enterprise Survey 2013

Bangladesh, 2013
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Reference ID
BGD_2013_ES_v01_M
DOI
https://doi.org/10.48529/jqjw-m419
Producer(s)
World Bank
Collection(s)
Enterprise Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Feb 04, 2014
Last modified
Feb 12, 2015
Page views
67358
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  • Study Description
  • Data Description
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  • Bangladesh-2013-full
    data-

In last FY, value of losses due to power outages (c9b)

Data file: Bangladesh-2013-full data-

Overview

Valid: 957
Invalid: 485
Type: Discrete
Decimal: 0
Start: 120
End: 128
Width: 9
Range: -9 - 108000000
Format: Numeric

Questions and instructions

Literal question
Please estimate the losses that resulted from power outages either as a percentage of total annual sales or as total annual losses.
Annual losses due to power outages
Categories
Value Category Cases
-9 DON'T KNOW 27
2.8%
0 NONE 48
5%
2000 3
0.3%
3000 1
0.1%
4000 1
0.1%
5000 1
0.1%
6000 3
0.3%
7000 1
0.1%
7500 1
0.1%
9000 1
0.1%
10000 7
0.7%
12000 4
0.4%
15000 4
0.4%
16000 1
0.1%
18000 1
0.1%
20000 17
1.8%
24000 2
0.2%
25000 6
0.6%
30000 22
2.3%
35000 2
0.2%
36000 5
0.5%
40000 9
0.9%
45000 1
0.1%
46466 1
0.1%
48000 1
0.1%
50000 43
4.5%
52000 1
0.1%
60000 21
2.2%
65000 1
0.1%
70000 6
0.6%
72000 1
0.1%
73000 2
0.2%
75000 1
0.1%
80000 11
1.1%
84000 1
0.1%
90000 6
0.6%
96000 1
0.1%
100000 80
8.4%
103680 1
0.1%
108000 1
0.1%
110000 1
0.1%
120000 18
1.9%
125000 1
0.1%
130000 4
0.4%
140000 1
0.1%
144000 1
0.1%
150000 30
3.1%
160000 5
0.5%
180000 14
1.5%
200000 64
6.7%
216000 1
0.1%
220000 2
0.2%
240000 8
0.8%
250000 5
0.5%
270000 1
0.1%
293000 1
0.1%
300000 38
4%
350000 5
0.5%
360000 4
0.4%
365000 2
0.2%
400000 21
2.2%
420000 1
0.1%
500000 58
6.1%
508093 1
0.1%
547000 1
0.1%
600000 19
2%
700000 11
1.1%
720000 2
0.2%
800000 10
1%
900000 1
0.1%
1000000 48
5%
1100000 1
0.1%
1200000 26
2.7%
1250000 1
0.1%
1297000 1
0.1%
1300000 2
0.2%
1440000 1
0.1%
1500000 17
1.8%
1600000 1
0.1%
1700000 2
0.2%
1800000 7
0.7%
2000000 22
2.3%
2050000 2
0.2%
2400000 11
1.1%
2500000 4
0.4%
2600000 1
0.1%
3000000 18
1.9%
3200000 1
0.1%
3432000 1
0.1%
3500000 1
0.1%
3600000 9
0.9%
4000000 10
1%
4300000 1
0.1%
4320000 1
0.1%
4500000 1
0.1%
4800000 2
0.2%
5000000 19
2%
6000000 8
0.8%
6500000 1
0.1%
7000000 3
0.3%
7040000 1
0.1%
7600000 1
0.1%
8000000 2
0.2%
8400000 1
0.1%
9000000 2
0.2%
9600000 1
0.1%
10000000 18
1.9%
10020000 1
0.1%
12000000 3
0.3%
14400000 1
0.1%
20000000 6
0.6%
30000000 5
0.5%
36000000 1
0.1%
40000000 2
0.2%
50000000 5
0.5%
60000000 1
0.1%
70200000 1
0.1%
72000000 1
0.1%
80000000 1
0.1%
100000000 1
0.1%
108000000 1
0.1%
Sysmiss 485
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
Losses because of power outages: The Manager should estimate the amount of production lost because of power outages.
Question post text
PROVIDE EITHER ONE OR THE OTHER, NOT BOTH c9a or c9b
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