Enterprise Survey 2007-2014
Nigeria, 2007 - 2015
Get MicrodataCreated on
Jan 29, 2016
Last modified
Mar 29, 2019
Page views
17761
Downloads
1534
- Data files
- Nigeria_2007-2009_2014_19states_v2
In last FY, value of losses due to power outages (c9b)
Data file: Nigeria_2007-2009_2014_19states_v2
Overview
Valid:
2231
Invalid:
11533
Type:
Discrete
Decimal:
0
Start:
435
End:
443
Width:
9
Range:
-
Format:
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 |
|---|---|
| -9 | Don't Know |
| 0 | none |
| 2 | |
| 3 | |
| 4 | |
| 5 | |
| 6 | |
| 10 | |
| 15 | |
| 20 | |
| 25 | |
| 30 | |
| 40 | |
| 45 | |
| 50 | |
| 60 | |
| 75 | |
| 80 | |
| 90 | |
| 200 | |
| 2000 | |
| 2500 | |
| 2800 | |
| 2900 | |
| 3000 | |
| 3100 | |
| 3300 | |
| 3900 | |
| 4000 | |
| 5000 | |
| 6000 | |
| 6400 | |
| 7000 | |
| 7700 | |
| 8000 | |
| 8500 | |
| 8750 | |
| 9000 | |
| 10000 | |
| 10200 | |
| 10500 | |
| 11000 | |
| 12000 | |
| 13000 | |
| 14000 | |
| 14200 | |
| 15000 | |
| 15600 | |
| 16000 | |
| 17000 | |
| 18000 | |
| 19000 | |
| 19080 | |
| 20000 | |
| 21000 | |
| 22000 | |
| 23000 | |
| 24000 | |
| 24200 | |
| 24600 | |
| 24800 | |
| 25000 | |
| 25200 | |
| 26000 | |
| 27000 | |
| 27360 | |
| 28000 | |
| 28400 | |
| 28600 | |
| 29000 | |
| 30000 | |
| 31000 | |
| 32000 | |
| 32400 | |
| 33000 | |
| 34000 | |
| 35000 | |
| 36000 | |
| 36400 | |
| 36800 | |
| 37000 | |
| 38000 | |
| 39000 | |
| 40000 | |
| 41000 | |
| 42000 | |
| 43000 | |
| 45000 | |
| 45673 | |
| 46000 | |
| 46400 | |
| 47000 | |
| 48000 | |
| 49000 | |
| 50000 | |
| 51000 | |
| 52000 | |
| 53000 | |
| 54000 | |
| 54800 | |
| 55000 | |
| 56000 | |
| 58800 | |
| 60000 | |
| 60800 | |
| 61000 | |
| 64000 | |
| 65000 | |
| 66000 | |
| 67000 | |
| 68000 | |
| 69000 | |
| 70000 | |
| 71000 | |
| 72000 | |
| 74600 | |
| 75000 | |
| 76000 | |
| 78000 | |
| 80000 | |
| 81000 | |
| 84600 | |
| 85000 | |
| 86400 | |
| 86500 | |
| 88000 | |
| 90000 | |
| 92400 | |
| 93000 | |
| 93900 | |
| 95000 | |
| 96000 | |
| 96400 | |
| 100000 | |
| 101000 | |
| 104000 | |
| 104600 | |
| 104900 | |
| 105000 | |
| 108000 | |
| 108500 | |
| 108800 | |
| 109000 | |
| 109500 | |
| 110000 | |
| 111000 | |
| 112000 | |
| 115000 | |
| 115200 | |
| 118000 | |
| 120000 | |
| 123600 | |
| 125000 | |
| 126000 | |
| 129000 | |
| 130000 | |
| 130400 | |
| 131000 | |
| 138000 | |
| 140000 | |
| 141000 | |
| 143000 | |
| 144000 | |
| 148000 | |
| 150000 | |
| 151200 | |
| 152000 | |
| 154000 | |
| 158400 | |
| 160000 | |
| 161000 | |
| 165000 | |
| 168000 | |
| 170000 | |
| 172000 | |
| 179000 | |
| 180000 | |
| 180400 | |
| 185000 | |
| 190000 | |
| 192000 | |
| 200000 | |
| 201600 | |
| 202800 | |
| 210000 | |
| 214000 | |
| 216000 | |
| 220000 | |
| 221000 | |
| 230000 | |
| 230400 | |
| 231600 | |
| 232000 | |
| 237600 | |
| 240000 | |
| 242000 | |
| 244000 | |
| 250000 | |
| 256000 | |
| 259200 | |
| 260000 | |
| 264000 | |
| 268800 | |
| 270000 | |
| 278000 | |
| 280000 | |
| 288000 | |
| 290000 | |
| 290200 | |
| 292000 | |
| 300000 | |
| 310000 | |
| 312500 | |
| 313000 | |
| 318000 | |
| 320000 | |
| 330000 | |
| 336000 | |
| 339000 | |
| 340000 | |
| 350000 | |
| 359000 | |
| 360000 | |
| 364000 | |
| 370000 | |
| 376000 | |
| 384000 | |
| 386000 | |
| 400000 | |
| 405000 | |
| 413000 | |
| 418000 | |
| 420000 | |
| 425980 | |
| 427000 | |
| 435000 | |
| 440000 | |
| 450000 | |
| 458000 | |
| 460000 | |
| 468000 | |
| 474000 | |
| 480000 | |
| 482000 | |
| 488400 | |
| 500000 | |
| 504000 | |
| 510000 | |
| 512000 | |
| 520000 | |
| 522000 | |
| 537000 | |
| 540000 | |
| 547500 | |
| 560000 | |
| 571000 | |
| 576000 | |
| 578400 | |
| 590000 | |
| 600000 | |
| 620000 | |
| 624000 | |
| 626000 | |
| 630000 | |
| 640000 | |
| 650000 | |
| 670000 | |
| 680400 | |
| 690000 | |
| 700000 | |
| 710000 | |
| 720000 | |
| 730000 | |
| 732000 | |
| 750000 | |
| 756000 | |
| 770000 | |
| 780000 | |
| 780790 | |
| 792000 | |
| 800000 | |
| 810000 | |
| 818400 | |
| 850000 | |
| 860000 | |
| 864000 | |
| 870000 | |
| 900000 | |
| 950000 | |
| 968000 | |
| 970000 | |
| 972000 | |
| 978000 | |
| 994000 | |
| 1000000 | |
| 1050000 | |
| 1093000 | |
| 1152000 | |
| 1200000 | |
| 1250000 | |
| 1251680 | |
| 1260000 | |
| 1300000 | |
| 1307000 | |
| 1385000 | |
| 1400000 | |
| 1500000 | |
| 1560000 | |
| 1600000 | |
| 1680000 | |
| 1700000 | |
| 1800000 | |
| 1830000 | |
| 1973837 | |
| 2000000 | |
| 2200000 | |
| 2300000 | |
| 2350000 | |
| 2352000 | |
| 2400000 | |
| 2500000 | |
| 2556000 | |
| 2688000 | |
| 2700000 | |
| 2880000 | |
| 3000000 | |
| 3300000 | |
| 3500000 | |
| 3600000 | |
| 3700000 | |
| 3800000 | |
| 4000000 | |
| 4080000 | |
| 4200000 | |
| 4320000 | |
| 4440000 | |
| 5000000 | |
| 5200000 | |
| 5400000 | |
| 5475000 | |
| 6000000 | |
| 6558720 | |
| 7000000 | |
| 8000000 | |
| 10000000 | |
| 10400000 | |
| 12000000 | |
| 15000000 | |
| 18000000 | |
| 22680000 | |
| 31200000 | |
| 36000000 | |
| 37329250 | |
| 50000000 | |
| 247000000 | |
| 432000000 | |
| 441986742 | |
| Sysmiss |
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