Labor Force Survey 2014
Sierra Leone, 2014
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Jan 18, 2017
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Mar 29, 2019
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K.16. Normally, how much were other operating expenses for this enterprise(such (K_16)
Data file: merged K de-ID
Overview
Valid:
3346
Invalid:
1999
Type:
Discrete
Decimal:
0
Start:
169
End:
177
Width:
9
Range:
-
Format:
Questions and instructions
Literal question
Normally, how much were other operating expenses for this enterprise(such as rent, fuel, kerosene, electricity etc.) per month in the last 12 months?
Categories
| Value | Category |
|---|---|
| 0 | Zero |
| 88 | One billion or more |
| 100 | |
| 500 | |
| 1000 | |
| 1600 | |
| 2000 | |
| 2500 | |
| 3000 | |
| 4000 | |
| 5000 | |
| 6000 | |
| 7000 | |
| 8000 | |
| 9000 | |
| 10000 | |
| 12000 | |
| 13000 | |
| 14000 | |
| 15000 | |
| 16000 | |
| 17000 | |
| 18000 | |
| 19000 | |
| 20000 | |
| 20833 | |
| 21000 | |
| 22000 | |
| 23000 | |
| 23700 | |
| 24000 | |
| 25000 | |
| 26000 | |
| 27000 | |
| 27800 | |
| 28000 | |
| 29000 | |
| 30000 | |
| 31000 | |
| 32000 | |
| 32500 | |
| 33000 | |
| 34000 | |
| 35000 | |
| 36000 | |
| 37000 | |
| 38000 | |
| 38500 | |
| 40000 | |
| 42000 | |
| 45000 | |
| 47000 | |
| 48000 | |
| 50000 | |
| 51000 | |
| 52000 | |
| 54000 | |
| 55000 | |
| 58000 | |
| 60000 | |
| 63000 | |
| 65000 | |
| 66000 | |
| 70000 | |
| 72000 | |
| 75000 | |
| 78000 | |
| 80000 | |
| 82000 | |
| 85000 | |
| 88000 | |
| 90000 | |
| 92000 | |
| 93000 | |
| 96000 | |
| 97000 | |
| 99000 | |
| 100000 | |
| 104000 | |
| 105000 | |
| 108000 | |
| 110000 | |
| 113000 | |
| 115000 | |
| 116000 | |
| 120000 | |
| 121000 | |
| 130000 | |
| 130800 | |
| 135000 | |
| 140000 | |
| 144000 | |
| 145000 | |
| 150000 | |
| 152000 | |
| 155000 | |
| 160000 | |
| 165000 | |
| 166000 | |
| 170000 | |
| 175000 | |
| 176000 | |
| 180000 | |
| 185000 | |
| 190000 | |
| 192000 | |
| 200000 | |
| 205000 | |
| 209000 | |
| 210000 | |
| 215000 | |
| 220000 | |
| 225000 | |
| 230000 | |
| 240000 | |
| 246000 | |
| 250000 | |
| 258000 | |
| 260000 | |
| 262000 | |
| 270000 | |
| 272000 | |
| 275000 | |
| 280000 | |
| 290000 | |
| 300000 | |
| 308000 | |
| 310000 | |
| 312000 | |
| 330000 | |
| 345000 | |
| 350000 | |
| 360000 | |
| 380000 | |
| 385000 | |
| 400000 | |
| 420000 | |
| 438000 | |
| 450000 | |
| 468000 | |
| 473000 | |
| 480000 | |
| 500000 | |
| 540000 | |
| 550000 | |
| 600000 | |
| 602000 | |
| 610000 | |
| 620000 | |
| 640000 | |
| 645000 | |
| 650000 | |
| 660000 | |
| 670000 | |
| 680000 | |
| 700000 | |
| 735000 | |
| 750000 | |
| 768000 | |
| 800000 | |
| 850000 | |
| 900000 | |
| 915000 | |
| 920000 | |
| 950000 | |
| 976500 | |
| 1000000 | |
| 1027500 | |
| 1050000 | |
| 1100000 | |
| 1150000 | |
| 1200000 | |
| 1225000 | |
| 1228500 | |
| 1300000 | |
| 1400000 | |
| 1420000 | |
| 1500000 | |
| 1600000 | |
| 1650000 | |
| 1800000 | |
| 2000000 | |
| 2160000 | |
| 2450000 | |
| 2500000 | |
| 3000000 | |
| 3250000 | |
| 4000000 | |
| 5000000 | |
| 5700000 | |
| 6000000 | |
| 6000040 | |
| 6500000 | |
| 8000000 | |
| 9600000 | |
| 10000000 | |
| 600116000 | |
| 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.