Enterprise Survey 2014-2016, Panel Data
Myanmar, 2014 - 2017
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Reference ID
MMR_2014-2016_ES-P_v01_M
Producer(s)
World Bank
Collection(s)
Metadata
Created on
Sep 14, 2017
Last modified
Sep 14, 2017
Page views
38752
Downloads
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- Data files
- Myanmar_2014_2016
In Last FY, Value Of Losses Due To Power Outages (c9b)
Data file: Myanmar_2014_2016
Overview
Valid:
377
Invalid:
862
Type:
Discrete
Decimal:
0
Start:
291
End:
299
Width:
9
Range:
-9 - 540000000
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
Annual losses due to power outages
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -9 | Don't know (spontaneous) | 0 |
0%
|
| 0 | None | 0 |
0%
|
| 10000 | 3 |
0.8%
|
|
| 20000 | 1 |
0.3%
|
|
| 24000 | 1 |
0.3%
|
|
| 25000 | 1 |
0.3%
|
|
| 30000 | 1 |
0.3%
|
|
| 33000 | 1 |
0.3%
|
|
| 36000 | 1 |
0.3%
|
|
| 45000 | 1 |
0.3%
|
|
| 48000 | 1 |
0.3%
|
|
| 50000 | 3 |
0.8%
|
|
| 55000 | 1 |
0.3%
|
|
| 60000 | 7 |
1.9%
|
|
| 65000 | 1 |
0.3%
|
|
| 70000 | 1 |
0.3%
|
|
| 72000 | 1 |
0.3%
|
|
| 80000 | 3 |
0.8%
|
|
| 84000 | 1 |
0.3%
|
|
| 100000 | 16 |
4.2%
|
|
| 120000 | 6 |
1.6%
|
|
| 140000 | 1 |
0.3%
|
|
| 144000 | 1 |
0.3%
|
|
| 150000 | 11 |
2.9%
|
|
| 160000 | 1 |
0.3%
|
|
| 168000 | 1 |
0.3%
|
|
| 170000 | 1 |
0.3%
|
|
| 172000 | 1 |
0.3%
|
|
| 180000 | 4 |
1.1%
|
|
| 192000 | 1 |
0.3%
|
|
| 200000 | 25 |
6.6%
|
|
| 215000 | 1 |
0.3%
|
|
| 220000 | 1 |
0.3%
|
|
| 240000 | 5 |
1.3%
|
|
| 250000 | 5 |
1.3%
|
|
| 300000 | 18 |
4.8%
|
|
| 350000 | 1 |
0.3%
|
|
| 360000 | 6 |
1.6%
|
|
| 400000 | 9 |
2.4%
|
|
| 420000 | 1 |
0.3%
|
|
| 432000 | 1 |
0.3%
|
|
| 440000 | 1 |
0.3%
|
|
| 450000 | 1 |
0.3%
|
|
| 480000 | 1 |
0.3%
|
|
| 500000 | 19 |
5%
|
|
| 540000 | 1 |
0.3%
|
|
| 600000 | 11 |
2.9%
|
|
| 650000 | 1 |
0.3%
|
|
| 660000 | 1 |
0.3%
|
|
| 700000 | 4 |
1.1%
|
|
| 720000 | 4 |
1.1%
|
|
| 800000 | 7 |
1.9%
|
|
| 900000 | 4 |
1.1%
|
|
| 960000 | 1 |
0.3%
|
|
| 1000000 | 18 |
4.8%
|
|
| 1200000 | 6 |
1.6%
|
|
| 1300000 | 1 |
0.3%
|
|
| 1400000 | 1 |
0.3%
|
|
| 1440000 | 2 |
0.5%
|
|
| 1500000 | 10 |
2.7%
|
|
| 1800000 | 5 |
1.3%
|
|
| 2000000 | 10 |
2.7%
|
|
| 2100000 | 1 |
0.3%
|
|
| 2160000 | 1 |
0.3%
|
|
| 2400000 | 4 |
1.1%
|
|
| 2500000 | 3 |
0.8%
|
|
| 2700000 | 1 |
0.3%
|
|
| 2800000 | 1 |
0.3%
|
|
| 2880000 | 1 |
0.3%
|
|
| 2900000 | 1 |
0.3%
|
|
| 3000000 | 6 |
1.6%
|
|
| 3300000 | 1 |
0.3%
|
|
| 3500000 | 2 |
0.5%
|
|
| 3600000 | 7 |
1.9%
|
|
| 3840000 | 1 |
0.3%
|
|
| 4000000 | 3 |
0.8%
|
|
| 4400000 | 1 |
0.3%
|
|
| 4500000 | 1 |
0.3%
|
|
| 4800000 | 2 |
0.5%
|
|
| 5000000 | 8 |
2.1%
|
|
| 5100000 | 1 |
0.3%
|
|
| 6000000 | 4 |
1.1%
|
|
| 6480000 | 1 |
0.3%
|
|
| 7000000 | 5 |
1.3%
|
|
| 7200000 | 5 |
1.3%
|
|
| 7800000 | 1 |
0.3%
|
|
| 8000000 | 2 |
0.5%
|
|
| 8400000 | 2 |
0.5%
|
|
| 9000000 | 6 |
1.6%
|
|
| 9200000 | 1 |
0.3%
|
|
| 9600000 | 1 |
0.3%
|
|
| 10000000 | 8 |
2.1%
|
|
| 10500000 | 1 |
0.3%
|
|
| 11000000 | 1 |
0.3%
|
|
| 12000000 | 1 |
0.3%
|
|
| 12500000 | 1 |
0.3%
|
|
| 13680000 | 1 |
0.3%
|
|
| 14000000 | 2 |
0.5%
|
|
| 15000000 | 2 |
0.5%
|
|
| 18000000 | 2 |
0.5%
|
|
| 19200000 | 2 |
0.5%
|
|
| 20000000 | 2 |
0.5%
|
|
| 24000000 | 1 |
0.3%
|
|
| 25000000 | 1 |
0.3%
|
|
| 30000000 | 1 |
0.3%
|
|
| 36000000 | 2 |
0.5%
|
|
| 40000000 | 3 |
0.8%
|
|
| 46800000 | 1 |
0.3%
|
|
| 48000000 | 2 |
0.5%
|
|
| 50000000 | 4 |
1.1%
|
|
| 60000000 | 2 |
0.5%
|
|
| 69500000 | 1 |
0.3%
|
|
| 70000000 | 1 |
0.3%
|
|
| 75000000 | 2 |
0.5%
|
|
| 80000000 | 1 |
0.3%
|
|
| 94000000 | 1 |
0.3%
|
|
| 130000000 | 1 |
0.3%
|
|
| 540000000 | 1 |
0.3%
|
|
| Sysmiss | 862 |
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