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    Home / Central Data Catalog / ENTERPRISE_SURVEYS / AFG_2008_ES_V01_M_WB / variable [F1]
enterprise_surveys

Enterprise Survey 2008

Afghanistan, 2008
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Reference ID
AFG_2008_ES_v01_M_WB
DOI
https://doi.org/10.48529/qbev-vx46
Producer(s)
World Bank
Collection(s)
Enterprise Surveys Fragility, Conflict and Violence
Metadata
DDI/XML JSON
Interactive tools
Created on
Mar 24, 2011
Last modified
Sep 26, 2013
Page views
103456
Downloads
146097
  • Study Description
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  • Afghanistan_idstd_Formal

total annual losses due to power outages (c9b)

Data file: Afghanistan_idstd_Formal

Overview

Valid: 373
Invalid: 274
Type: Discrete
Decimal: 0
Start: 320
End: 326
Width: 7
Range: -9 - 100000
Format: Numeric

Questions and instructions

Literal question
Please estimate the losses that resulted from power outages as total annual losses?
Categories
Value Category Cases
-9 don't know 13
3.5%
0 55
14.7%
160 1
0.3%
200 1
0.3%
480 1
0.3%
900 1
0.3%
1000 1
0.3%
1080 1
0.3%
2500 1
0.3%
2700 1
0.3%
3000 2
0.5%
3240 1
0.3%
5000 2
0.5%
5400 2
0.5%
6000 1
0.3%
7000 1
0.3%
7200 2
0.5%
7500 1
0.3%
8100 1
0.3%
10000 6
1.6%
10800 2
0.5%
12000 5
1.3%
14400 1
0.3%
15000 3
0.8%
18000 5
1.3%
20000 7
1.9%
21900 1
0.3%
24000 1
0.3%
25000 2
0.5%
27000 1
0.3%
28800 1
0.3%
29160 1
0.3%
30000 10
2.7%
36000 13
3.5%
40000 4
1.1%
43200 1
0.3%
45000 1
0.3%
48000 2
0.5%
50000 9
2.4%
51000 2
0.5%
54000 2
0.5%
54750 1
0.3%
60000 4
1.1%
66000 1
0.3%
70000 2
0.5%
72000 3
0.8%
73000 2
0.5%
75000 1
0.3%
78000 1
0.3%
80000 4
1.1%
84000 1
0.3%
85000 1
0.3%
86400 1
0.3%
90000 9
2.4%
91500 1
0.3%
98000 1
0.3%
99000 2
0.5%
100000 7
1.9%
108000 8
2.1%
109000 3
0.8%
110000 9
2.4%
120000 6
1.6%
124800 1
0.3%
125000 1
0.3%
129600 1
0.3%
135000 1
0.3%
136000 1
0.3%
140000 1
0.3%
144000 2
0.5%
145000 1
0.3%
148000 1
0.3%
150000 13
3.5%
156000 1
0.3%
158400 1
0.3%
168480 2
0.5%
170000 1
0.3%
175000 1
0.3%
180000 11
2.9%
187200 2
0.5%
192000 1
0.3%
193450 1
0.3%
194000 1
0.3%
200000 15
4%
216000 1
0.3%
234000 1
0.3%
237000 1
0.3%
240000 2
0.5%
250000 3
0.8%
288000 1
0.3%
290000 1
0.3%
300000 4
1.1%
312000 1
0.3%
324000 1
0.3%
350000 3
0.8%
360000 5
1.3%
366000 2
0.5%
375000 1
0.3%
388800 1
0.3%
400000 1
0.3%
450000 1
0.3%
468000 1
0.3%
480000 1
0.3%
500000 4
1.1%
540000 5
1.3%
546000 1
0.3%
554400 1
0.3%
576000 1
0.3%
581400 1
0.3%
600000 6
1.6%
648000 1
0.3%
700000 1
0.3%
800000 1
0.3%
802000 1
0.3%
960000 1
0.3%
972000 1
0.3%
1000000 2
0.5%
1200000 1
0.3%
1224000 1
0.3%
1440000 1
0.3%
1500000 2
0.5%
1620000 1
0.3%
2000000 3
0.8%
2400000 2
0.5%
2890000 1
0.3%
3000000 1
0.3%
3600000 1
0.3%
5000000 1
0.3%
5400000 1
0.3%
7500000 1
0.3%
Sysmiss 274
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.
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