Enterprise Survey 2017
Colombia, 2017 - 2018
Get MicrodataCreated on
Mar 29, 2019
Last modified
Mar 29, 2019
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- Data files
- colombia_2017_full_data.dta
Net Book Value Of Machinery Vehicles, And Equipment In Last Fiscal Year (n6a)
Data file: colombia_2017_full_data.dta
Overview
Valid:
565
Invalid:
428
Minimum:
-9
Maximum:
9600000000000000
Type:
Discrete
Decimal:
0
Range:
-
Format:
Questions and instructions
Literal question
N. PERFORMANCE
From this establishment’s Balance Sheet for fiscal year 2015, what was the net book value, that is the value of assets after depreciation, of the following: Machinery, vehicles, and equipment
From this establishment’s Balance Sheet for fiscal year 2015, what was the net book value, that is the value of assets after depreciation, of the following: Machinery, vehicles, and equipment
Categories
| Value | Category |
|---|---|
| -9 | Don't know (spontaneous) |
| 0 | |
| 2000000 | |
| 8000000 | |
| 9000000 | |
| 10000000 | |
| 11000000 | |
| 16000000 | |
| 19000000 | |
| 20000000 | |
| 22000000 | |
| 23000000 | |
| 24000000 | |
| 25000000 | |
| 28000000 | |
| 29000000 | |
| 30000000 | |
| 33000000 | |
| 34000000 | |
| 35000000 | |
| 36000000 | |
| 37000000 | |
| 39000000 | |
| 40000000 | |
| 42000000 | |
| 45000000 | |
| 46000000 | |
| 48000000 | |
| 50000000 | |
| 52000000 | |
| 53000000 | |
| 54000000 | |
| 56000000 | |
| 60000000 | |
| 62000000 | |
| 64000000 | |
| 65000000 | |
| 70000000 | |
| 71000000 | |
| 74000000 | |
| 75000000 | |
| 80000000 | |
| 89000000 | |
| 90000000 | |
| 94000000 | |
| 95000000 | |
| 98000000 | |
| 100000000 | |
| 101000000 | |
| 110000000 | |
| 113000000 | |
| 120000000 | |
| 121000000 | |
| 125000000 | |
| 128000000 | |
| 130000000 | |
| 135000000 | |
| 136000000 | |
| 141000000 | |
| 144000000 | |
| 150000000 | |
| 153000000 | |
| 159000000 | |
| 161000000 | |
| 163000000 | |
| 165000000 | |
| 167000000 | |
| 172000000 | |
| 177000000 | |
| 180000000 | |
| 184000000 | |
| 186000000 | |
| 189000000 | |
| 194000000 | |
| 196000000 | |
| 197000000 | |
| 199000000 | |
| 200000000 | |
| 204000000 | |
| 206000000 | |
| 210000000 | |
| 220000000 | |
| 222000000 | |
| 240000000 | |
| 246000000 | |
| 250000000 | |
| 252000000 | |
| 266000000 | |
| 271000000 | |
| 274000000 | |
| 278000000 | |
| 280000000 | |
| 286000000 | |
| 289000000 | |
| 290000000 | |
| 291000000 | |
| 294000000 | |
| 300000000 | |
| 310000000 | |
| 311000000 | |
| 314000000 | |
| 340000000 | |
| 343000000 | |
| 348000000 | |
| 380000000 | |
| 383000000 | |
| 400000000 | |
| 404000000 | |
| 416000000 | |
| 419000000 | |
| 430000000 | |
| 447000000 | |
| 450000000 | |
| 470000000 | |
| 480000000 | |
| 488000000 | |
| 500000000 | |
| 508000000 | |
| 510000000 | |
| 520000000 | |
| 522000000 | |
| 540000000 | |
| 580000000 | |
| 600000000 | |
| 603000000 | |
| 605000000 | |
| 618000000 | |
| 634000000 | |
| 637000000 | |
| 666000000 | |
| 672000000 | |
| 673000000 | |
| 702000000 | |
| 706000000 | |
| 712000000 | |
| 737000000 | |
| 750000000 | |
| 760000000 | |
| 768000000 | |
| 782000000 | |
| 785000000 | |
| 800000000 | |
| 815000000 | |
| 837000000 | |
| 843000000 | |
| 855000000 | |
| 863000000 | |
| 876000000 | |
| 900000000 | |
| 928000000 | |
| 931000000 | |
| 952000000 | |
| 960000000 | |
| 976000000 | |
| 1000000000 | |
| 1009000000 | |
| 1010000000 | |
| 1025000000 | |
| 1057000000 | |
| 1064000000 | |
| 1072000000 | |
| 1100000000 | |
| 1105000000 | |
| 1115000000 | |
| 1162000000 | |
| 1170000000 | |
| 1205000000 | |
| 1208000000 | |
| 1300000000 | |
| 1315000000 | |
| 1340000000 | |
| 1382000000 | |
| 1465000000 | |
| 1484000000 | |
| 1500000000 | |
| 1510000000 | |
| 1578000000 | |
| 1600000000 | |
| 1652000000 | |
| 1700000000 | |
| 1714000000 | |
| 1725000000 | |
| 1740000000 | |
| 1853000000 | |
| 1896000000 | |
| 1932000000 | |
| 1948000000 | |
| 2000000000 | |
| 2080000000 | |
| 2109000000 | |
| 2168000000 | |
| 2205000000 | |
| 2225000000 | |
| 2392000000 | |
| 2400000000 | |
| 2434000000 | |
| 2500000000 | |
| 2541000000 | |
| 2600000000 | |
| 2764000000 | |
| 2844000000 | |
| 2902000000 | |
| 3000000000 | |
| 3100000000 | |
| 3150000000 | |
| 3165000000 | |
| 3215000000 | |
| 3254000000 | |
| 3400000000 | |
| 3500000000 | |
| 3600000000 | |
| 3629000000 | |
| 3723000000 | |
| 3838000000 | |
| 3860000000 | |
| 4000000000 | |
| 4166000000 | |
| 4200000000 | |
| 4261000000 | |
| 4482000000 | |
| 4500000000 | |
| 4600000000 | |
| 4629000000 | |
| 4811000000 | |
| 4900000000 | |
| 5000000000 | |
| 5400000000 | |
| 5539000000 | |
| 5575000000 | |
| 5830000000 | |
| 5961000000 | |
| 6000000000 | |
| 7000000000 | |
| 7500000000 | |
| 7645000000 | |
| 7700000000 | |
| 7900000000 | |
| 8000000000 | |
| 8200000000 | |
| 9300000000 | |
| 9350000000 | |
| 10000000000 | |
| 11000000000 | |
| 14000000000 | |
| 15000000000 | |
| 15200000000 | |
| 16000000000 | |
| 17215000000 | |
| 18000000000 | |
| 18811000000 | |
| 22000000000 | |
| 23876000000 | |
| 26000000000 | |
| 26836000000 | |
| 30000000000 | |
| 35000000000 | |
| 36360000000 | |
| 37250000000 | |
| 39000000000 | |
| 39963000000 | |
| 46000000000 | |
| 50000000000 | |
| 75635000000 | |
| 113000000000 | |
| 123845000000 | |
| 212000000000 | |
| 294000000000 | |
| 346000000000 | |
| 565000000000 | |
| 890000000000 | |
| 10000000000000 | |
| 15000000000000 | |
| 20000000000000 | |
| 26000000000000 | |
| 40000000000000 | |
| 55000000000000 | |
| 80000000000000 | |
| 93000000000000 | |
| 120000000000000 | |
| 400000000000000 | |
| 700000000000000 | |
| 3168018000000000 | |
| 9600000000000000 | |
| NA |
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.