Enterprise Survey 2017
Colombia, 2017 - 2018
Get MicrodataCreated on
Mar 29, 2019
Last modified
Mar 29, 2019
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10692
- Data files
- colombia_2017_full_data.dta
Cost For Establishment To Re-Purchase All Of Its Machinery (n7a)
Data file: colombia_2017_full_data.dta
Overview
Valid:
565
Invalid:
428
Minimum:
-9
Maximum:
150000000000000
Type:
Discrete
Decimal:
0
Range:
-
Format:
Questions and instructions
Literal question
N. PERFORMANCE
Hypothetically, if this establishment were to purchase the assets it uses now, in their current condition and regardless of whether the establishment owns them or not, how much would they cost, independently of whether they are owned, rented or leased? Machinery, vehicles, and equipment
Hypothetically, if this establishment were to purchase the assets it uses now, in their current condition and regardless of whether the establishment owns them or not, how much would they cost, independently of whether they are owned, rented or leased? Machinery, vehicles, and equipment
Categories
| Value | Category |
|---|---|
| -9 | Don't know (spontaneous) |
| 5000000 | |
| 6000000 | |
| 13000000 | |
| 20000000 | |
| 28000000 | |
| 29000000 | |
| 30000000 | |
| 35000000 | |
| 40000000 | |
| 42000000 | |
| 45000000 | |
| 50000000 | |
| 53000000 | |
| 55000000 | |
| 60000000 | |
| 70000000 | |
| 72000000 | |
| 74000000 | |
| 75000000 | |
| 80000000 | |
| 85000000 | |
| 90000000 | |
| 94000000 | |
| 100000000 | |
| 110000000 | |
| 115000000 | |
| 120000000 | |
| 139000000 | |
| 150000000 | |
| 170000000 | |
| 180000000 | |
| 200000000 | |
| 210000000 | |
| 220000000 | |
| 230000000 | |
| 248000000 | |
| 250000000 | |
| 280000000 | |
| 300000000 | |
| 316000000 | |
| 320000000 | |
| 350000000 | |
| 390000000 | |
| 400000000 | |
| 410000000 | |
| 422000000 | |
| 432000000 | |
| 436000000 | |
| 450000000 | |
| 470000000 | |
| 500000000 | |
| 550000000 | |
| 569000000 | |
| 600000000 | |
| 634000000 | |
| 650000000 | |
| 700000000 | |
| 731000000 | |
| 737000000 | |
| 750000000 | |
| 800000000 | |
| 850000000 | |
| 900000000 | |
| 1000000000 | |
| 1100000000 | |
| 1115000000 | |
| 1200000000 | |
| 1208000000 | |
| 1238000000 | |
| 1300000000 | |
| 1400000000 | |
| 1500000000 | |
| 1600000000 | |
| 1652000000 | |
| 1677000000 | |
| 1800000000 | |
| 1866000000 | |
| 2000000000 | |
| 2080000000 | |
| 2300000000 | |
| 2400000000 | |
| 2500000000 | |
| 2590000000 | |
| 2600000000 | |
| 2676000000 | |
| 2742000000 | |
| 2800000000 | |
| 3000000000 | |
| 3400000000 | |
| 3500000000 | |
| 3900000000 | |
| 4000000000 | |
| 4166000000 | |
| 4200000000 | |
| 4500000000 | |
| 4647000000 | |
| 5000000000 | |
| 5150000000 | |
| 5200000000 | |
| 5500000000 | |
| 5700000000 | |
| 6000000000 | |
| 7000000000 | |
| 8000000000 | |
| 8500000000 | |
| 9000000000 | |
| 10000000000 | |
| 10500000000 | |
| 10554000000 | |
| 11500000000 | |
| 12000000000 | |
| 13000000000 | |
| 14000000000 | |
| 15000000000 | |
| 17000000000 | |
| 18000000000 | |
| 20000000000 | |
| 22000000000 | |
| 23000000000 | |
| 24000000000 | |
| 29000000000 | |
| 30000000000 | |
| 33000000000 | |
| 34500000000 | |
| 35000000000 | |
| 45000000000 | |
| 50000000000 | |
| 55000000000 | |
| 60000000000 | |
| 70000000000 | |
| 78000000000 | |
| 80000000000 | |
| 100000000000 | |
| 114000000000 | |
| 130000000000 | |
| 150000000000 | |
| 300000000000 | |
| 450000000000 | |
| 500000000000 | |
| 805000000000 | |
| 150000000000000 | |
| 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.