Enterprise Survey 2017
Colombia, 2017 - 2018
Get MicrodataCreated on
Mar 29, 2019
Last modified
Mar 29, 2019
Page views
5723
- Data files
- colombia_2017_full_data.dta
Total Annual Expenditure For Purchases Of Equipment In Year Prior To Last FY (n5c)
Data file: colombia_2017_full_data.dta
Overview
Valid:
402
Invalid:
591
Minimum:
-9
Maximum:
4000000000000000
Type:
Discrete
Decimal:
0
Range:
-
Format:
Questions and instructions
Literal question
K. FINANCE
In fiscal year [insert last complete fiscal year minus one],, how much did this establishment spend on purchases of:
- New or used machinery, vehicles, and equipment
In fiscal year [insert last complete fiscal year minus one],, how much did this establishment spend on purchases of:
- New or used machinery, vehicles, and equipment
Categories
| Value | Category |
|---|---|
| -9 | Don't know (spontaneous) |
| 0 | |
| 2000000 | |
| 3000000 | |
| 4000000 | |
| 5000000 | |
| 6000000 | |
| 7000000 | |
| 8000000 | |
| 9000000 | |
| 10000000 | |
| 12000000 | |
| 14000000 | |
| 15000000 | |
| 16000000 | |
| 17000000 | |
| 18000000 | |
| 20000000 | |
| 22000000 | |
| 23000000 | |
| 25000000 | |
| 27000000 | |
| 30000000 | |
| 33000000 | |
| 35000000 | |
| 40000000 | |
| 43000000 | |
| 44000000 | |
| 45000000 | |
| 50000000 | |
| 52000000 | |
| 55000000 | |
| 57000000 | |
| 60000000 | |
| 65000000 | |
| 66000000 | |
| 67000000 | |
| 68000000 | |
| 70000000 | |
| 73000000 | |
| 75000000 | |
| 76000000 | |
| 80000000 | |
| 84000000 | |
| 90000000 | |
| 100000000 | |
| 101000000 | |
| 108000000 | |
| 120000000 | |
| 125000000 | |
| 130000000 | |
| 140000000 | |
| 150000000 | |
| 160000000 | |
| 170000000 | |
| 174000000 | |
| 176000000 | |
| 180000000 | |
| 190000000 | |
| 200000000 | |
| 207000000 | |
| 250000000 | |
| 280000000 | |
| 300000000 | |
| 340000000 | |
| 370000000 | |
| 390000000 | |
| 391000000 | |
| 400000000 | |
| 433000000 | |
| 460000000 | |
| 467000000 | |
| 480000000 | |
| 500000000 | |
| 550000000 | |
| 600000000 | |
| 630000000 | |
| 650000000 | |
| 675000000 | |
| 700000000 | |
| 800000000 | |
| 860000000 | |
| 900000000 | |
| 925000000 | |
| 1000000000 | |
| 1072000000 | |
| 1200000000 | |
| 1372000000 | |
| 1500000000 | |
| 2000000000 | |
| 2100000000 | |
| 2500000000 | |
| 3000000000 | |
| 3500000000 | |
| 3691000000 | |
| 4000000000 | |
| 5000000000 | |
| 5233000000 | |
| 6000000000 | |
| 8000000000 | |
| 9000000000 | |
| 10000000000 | |
| 15000000000 | |
| 17300000000 | |
| 20000000000 | |
| 80000000000 | |
| 169000000000 | |
| 200000000000 | |
| 600000000000 | |
| 15000000000000 | |
| 20000000000000 | |
| 23000000000000 | |
| 30000000000000 | |
| 40000000000000 | |
| 60000000000000 | |
| 70000000000000 | |
| 90000000000000 | |
| 200000000000000 | |
| 500000000000000 | |
| 593047000000000 | |
| 800000000000000 | |
| 2500000000000000 | |
| 4000000000000000 | |
| 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.