Enterprise Survey 2014
India, 2013 - 2014
Get Microdata
Reference ID
IND_2014_ES_v01_M
Producer(s)
World Bank
Collection(s)
Metadata
Created on
Feb 12, 2015
Last modified
Oct 08, 2015
Page views
76509
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- Data files
- india_2014_full_data_
In last FY, value of losses due to power outages (c9b)
Data file: india_2014_full_data_
Overview
Valid:
857
Invalid:
8424
Type:
Discrete
Decimal:
0
Start:
148
End:
156
Width:
9
Range:
-9 - 140000000
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) | 13 |
1.5%
|
| 0 | none | 23 |
2.7%
|
| 2 | 1 |
0.1%
|
|
| 3 | 1 |
0.1%
|
|
| 5 | 1 |
0.1%
|
|
| 10 | 2 |
0.2%
|
|
| 1000 | 1 |
0.1%
|
|
| 3000 | 1 |
0.1%
|
|
| 3750 | 1 |
0.1%
|
|
| 4000 | 2 |
0.2%
|
|
| 5000 | 2 |
0.2%
|
|
| 5600 | 1 |
0.1%
|
|
| 6000 | 5 |
0.6%
|
|
| 6250 | 1 |
0.1%
|
|
| 7000 | 2 |
0.2%
|
|
| 8500 | 1 |
0.1%
|
|
| 8800 | 1 |
0.1%
|
|
| 9000 | 2 |
0.2%
|
|
| 10000 | 10 |
1.2%
|
|
| 10080 | 1 |
0.1%
|
|
| 10240 | 1 |
0.1%
|
|
| 10800 | 3 |
0.4%
|
|
| 11500 | 1 |
0.1%
|
|
| 12000 | 12 |
1.4%
|
|
| 13000 | 2 |
0.2%
|
|
| 14000 | 1 |
0.1%
|
|
| 15000 | 5 |
0.6%
|
|
| 16000 | 3 |
0.4%
|
|
| 17000 | 1 |
0.1%
|
|
| 18000 | 4 |
0.5%
|
|
| 19000 | 1 |
0.1%
|
|
| 20000 | 16 |
1.9%
|
|
| 20405 | 1 |
0.1%
|
|
| 20500 | 1 |
0.1%
|
|
| 20645 | 1 |
0.1%
|
|
| 21400 | 1 |
0.1%
|
|
| 21600 | 1 |
0.1%
|
|
| 22000 | 1 |
0.1%
|
|
| 23000 | 2 |
0.2%
|
|
| 24000 | 3 |
0.4%
|
|
| 25000 | 6 |
0.7%
|
|
| 27000 | 1 |
0.1%
|
|
| 28000 | 2 |
0.2%
|
|
| 30000 | 11 |
1.3%
|
|
| 34500 | 1 |
0.1%
|
|
| 35000 | 4 |
0.5%
|
|
| 35400 | 1 |
0.1%
|
|
| 36000 | 4 |
0.5%
|
|
| 37500 | 1 |
0.1%
|
|
| 39000 | 2 |
0.2%
|
|
| 39450 | 1 |
0.1%
|
|
| 40000 | 9 |
1.1%
|
|
| 41000 | 1 |
0.1%
|
|
| 42000 | 1 |
0.1%
|
|
| 45000 | 2 |
0.2%
|
|
| 48000 | 3 |
0.4%
|
|
| 48255 | 1 |
0.1%
|
|
| 50000 | 28 |
3.3%
|
|
| 51000 | 1 |
0.1%
|
|
| 52000 | 1 |
0.1%
|
|
| 56250 | 1 |
0.1%
|
|
| 60000 | 20 |
2.3%
|
|
| 62000 | 1 |
0.1%
|
|
| 63000 | 1 |
0.1%
|
|
| 65000 | 2 |
0.2%
|
|
| 66000 | 3 |
0.4%
|
|
| 70000 | 5 |
0.6%
|
|
| 72000 | 5 |
0.6%
|
|
| 75000 | 14 |
1.6%
|
|
| 78000 | 1 |
0.1%
|
|
| 80000 | 14 |
1.6%
|
|
| 82000 | 1 |
0.1%
|
|
| 82500 | 1 |
0.1%
|
|
| 84000 | 4 |
0.5%
|
|
| 85000 | 2 |
0.2%
|
|
| 90000 | 5 |
0.6%
|
|
| 92000 | 1 |
0.1%
|
|
| 93000 | 1 |
0.1%
|
|
| 94000 | 1 |
0.1%
|
|
| 100000 | 36 |
4.2%
|
|
| 107000 | 1 |
0.1%
|
|
| 108000 | 2 |
0.2%
|
|
| 109000 | 1 |
0.1%
|
|
| 110000 | 2 |
0.2%
|
|
| 112000 | 2 |
0.2%
|
|
| 112500 | 1 |
0.1%
|
|
| 115000 | 3 |
0.4%
|
|
| 116000 | 1 |
0.1%
|
|
| 117000 | 1 |
0.1%
|
|
| 120000 | 13 |
1.5%
|
|
| 124000 | 1 |
0.1%
|
|
| 124830 | 1 |
0.1%
|
|
| 125000 | 11 |
1.3%
|
|
| 126000 | 1 |
0.1%
|
|
| 128000 | 1 |
0.1%
|
|
| 129560 | 1 |
0.1%
|
|
| 130000 | 2 |
0.2%
|
|
| 132000 | 4 |
0.5%
|
|
| 133000 | 1 |
0.1%
|
|
| 134000 | 1 |
0.1%
|
|
| 135000 | 2 |
0.2%
|
|
| 139500 | 1 |
0.1%
|
|
| 140000 | 2 |
0.2%
|
|
| 141250 | 1 |
0.1%
|
|
| 144000 | 2 |
0.2%
|
|
| 148000 | 1 |
0.1%
|
|
| 150000 | 18 |
2.1%
|
|
| 155000 | 1 |
0.1%
|
|
| 156000 | 1 |
0.1%
|
|
| 160000 | 3 |
0.4%
|
|
| 165000 | 2 |
0.2%
|
|
| 170000 | 1 |
0.1%
|
|
| 175000 | 2 |
0.2%
|
|
| 180000 | 10 |
1.2%
|
|
| 182000 | 1 |
0.1%
|
|
| 184000 | 2 |
0.2%
|
|
| 190000 | 1 |
0.1%
|
|
| 194000 | 1 |
0.1%
|
|
| 200000 | 58 |
6.8%
|
|
| 207000 | 1 |
0.1%
|
|
| 210000 | 2 |
0.2%
|
|
| 212000 | 1 |
0.1%
|
|
| 215000 | 4 |
0.5%
|
|
| 216000 | 1 |
0.1%
|
|
| 217000 | 2 |
0.2%
|
|
| 220000 | 2 |
0.2%
|
|
| 225000 | 3 |
0.4%
|
|
| 232962 | 1 |
0.1%
|
|
| 240000 | 6 |
0.7%
|
|
| 250000 | 6 |
0.7%
|
|
| 255000 | 1 |
0.1%
|
|
| 264060 | 1 |
0.1%
|
|
| 270000 | 3 |
0.4%
|
|
| 280000 | 1 |
0.1%
|
|
| 288000 | 1 |
0.1%
|
|
| 300000 | 35 |
4.1%
|
|
| 312000 | 1 |
0.1%
|
|
| 320000 | 1 |
0.1%
|
|
| 321000 | 1 |
0.1%
|
|
| 336000 | 1 |
0.1%
|
|
| 340000 | 1 |
0.1%
|
|
| 350000 | 6 |
0.7%
|
|
| 360000 | 6 |
0.7%
|
|
| 365000 | 2 |
0.2%
|
|
| 372000 | 1 |
0.1%
|
|
| 374400 | 2 |
0.2%
|
|
| 375000 | 2 |
0.2%
|
|
| 400000 | 20 |
2.3%
|
|
| 400003 | 1 |
0.1%
|
|
| 425000 | 1 |
0.1%
|
|
| 432000 | 2 |
0.2%
|
|
| 450000 | 3 |
0.4%
|
|
| 452500 | 1 |
0.1%
|
|
| 468000 | 1 |
0.1%
|
|
| 475000 | 1 |
0.1%
|
|
| 480000 | 2 |
0.2%
|
|
| 500000 | 24 |
2.8%
|
|
| 516271 | 1 |
0.1%
|
|
| 518000 | 1 |
0.1%
|
|
| 520000 | 1 |
0.1%
|
|
| 540000 | 2 |
0.2%
|
|
| 550000 | 1 |
0.1%
|
|
| 562000 | 1 |
0.1%
|
|
| 600000 | 18 |
2.1%
|
|
| 630000 | 1 |
0.1%
|
|
| 648000 | 1 |
0.1%
|
|
| 650000 | 2 |
0.2%
|
|
| 700000 | 8 |
0.9%
|
|
| 720000 | 3 |
0.4%
|
|
| 725000 | 1 |
0.1%
|
|
| 726000 | 1 |
0.1%
|
|
| 750000 | 2 |
0.2%
|
|
| 800000 | 6 |
0.7%
|
|
| 820000 | 1 |
0.1%
|
|
| 850000 | 2 |
0.2%
|
|
| 870000 | 1 |
0.1%
|
|
| 876000 | 1 |
0.1%
|
|
| 900000 | 9 |
1.1%
|
|
| 982000 | 1 |
0.1%
|
|
| 1000000 | 24 |
2.8%
|
|
| 1020000 | 1 |
0.1%
|
|
| 1056000 | 1 |
0.1%
|
|
| 1094400 | 1 |
0.1%
|
|
| 1100000 | 2 |
0.2%
|
|
| 1200000 | 9 |
1.1%
|
|
| 1300000 | 4 |
0.5%
|
|
| 1314000 | 1 |
0.1%
|
|
| 1400000 | 4 |
0.5%
|
|
| 1450000 | 1 |
0.1%
|
|
| 1472640 | 1 |
0.1%
|
|
| 1500000 | 17 |
2%
|
|
| 1600000 | 2 |
0.2%
|
|
| 1728000 | 1 |
0.1%
|
|
| 1732750 | 1 |
0.1%
|
|
| 1752000 | 1 |
0.1%
|
|
| 1800000 | 2 |
0.2%
|
|
| 1848000 | 1 |
0.1%
|
|
| 2000000 | 14 |
1.6%
|
|
| 2140000 | 1 |
0.1%
|
|
| 2164000 | 1 |
0.1%
|
|
| 2200000 | 1 |
0.1%
|
|
| 2247500 | 1 |
0.1%
|
|
| 2400000 | 3 |
0.4%
|
|
| 2500000 | 4 |
0.5%
|
|
| 3000000 | 5 |
0.6%
|
|
| 3240000 | 1 |
0.1%
|
|
| 3250000 | 1 |
0.1%
|
|
| 3400000 | 1 |
0.1%
|
|
| 3500000 | 2 |
0.2%
|
|
| 3600000 | 3 |
0.4%
|
|
| 3800000 | 1 |
0.1%
|
|
| 3900000 | 1 |
0.1%
|
|
| 4000000 | 2 |
0.2%
|
|
| 4300000 | 1 |
0.1%
|
|
| 4800000 | 2 |
0.2%
|
|
| 4932000 | 1 |
0.1%
|
|
| 5000000 | 2 |
0.2%
|
|
| 5200000 | 1 |
0.1%
|
|
| 5400000 | 1 |
0.1%
|
|
| 5500000 | 1 |
0.1%
|
|
| 6000000 | 2 |
0.2%
|
|
| 6232000 | 1 |
0.1%
|
|
| 6500000 | 1 |
0.1%
|
|
| 7000000 | 1 |
0.1%
|
|
| 8000000 | 1 |
0.1%
|
|
| 8500000 | 1 |
0.1%
|
|
| 9200000 | 1 |
0.1%
|
|
| 10000000 | 2 |
0.2%
|
|
| 15000000 | 1 |
0.1%
|
|
| 20000000 | 1 |
0.1%
|
|
| 21000000 | 1 |
0.1%
|
|
| 25000000 | 1 |
0.1%
|
|
| 28000000 | 1 |
0.1%
|
|
| 30000000 | 2 |
0.2%
|
|
| 35000000 | 1 |
0.1%
|
|
| 56000000 | 1 |
0.1%
|
|
| 72492000 | 1 |
0.1%
|
|
| 90000000 | 1 |
0.1%
|
|
| 140000000 | 1 |
0.1%
|
|
| Sysmiss | 8424 |
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