Enterprise Survey 2006-2017 Panel Data
Uruguay, 2006 - 2017
Get MicrodataCreated on
Mar 29, 2019
Last modified
Mar 29, 2019
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7156
- Data files
- Uruguay_2006_2010_2017
Cost For Establishment To Re-Purchase All Of Its Machinery (n7a)
Data file: Uruguay_2006_2010_2017
Overview
Valid:
835
Invalid:
740
Type:
Discrete
Decimal:
0
Start:
996
End:
1006
Width:
11
Range:
-
Format:
Questions and instructions
Literal question
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) |
| -8 | |
| 0 | |
| 5 | |
| 2000 | |
| 8000 | |
| 12000 | |
| 24000 | |
| 30000 | |
| 40000 | |
| 50000 | |
| 60000 | |
| 63000 | |
| 64500 | |
| 86000 | |
| 90000 | |
| 98135 | |
| 100000 | |
| 106726 | |
| 132000 | |
| 140000 | |
| 150000 | |
| 170000 | |
| 200000 | |
| 225000 | |
| 240000 | |
| 245000 | |
| 250000 | |
| 294405 | |
| 300000 | |
| 320000 | |
| 350000 | |
| 400000 | |
| 420000 | |
| 480000 | |
| 500000 | |
| 598500 | |
| 600000 | |
| 620000 | |
| 630000 | |
| 670000 | |
| 700000 | |
| 720000 | |
| 750000 | |
| 756000 | |
| 785080 | |
| 796170 | |
| 800000 | |
| 840000 | |
| 860000 | |
| 900000 | |
| 960000 | |
| 971500 | |
| 980000 | |
| 981350 | |
| 1000000 | |
| 1100000 | |
| 1102500 | |
| 1125000 | |
| 1200000 | |
| 1243000 | |
| 1250000 | |
| 1340000 | |
| 1430000 | |
| 1440000 | |
| 1500000 | |
| 1550000 | |
| 1600000 | |
| 1680000 | |
| 1700000 | |
| 1750000 | |
| 1800000 | |
| 1920000 | |
| 1960000 | |
| 2000000 | |
| 2030000 | |
| 2160000 | |
| 2200000 | |
| 2300000 | |
| 2400000 | |
| 2500000 | |
| 2800000 | |
| 2880000 | |
| 2940000 | |
| 3000000 | |
| 3120000 | |
| 3150000 | |
| 3300000 | |
| 3400000 | |
| 3500000 | |
| 3600000 | |
| 3645000 | |
| 3750000 | |
| 4000000 | |
| 4080000 | |
| 4317940 | |
| 4320000 | |
| 4340000 | |
| 4800000 | |
| 4906750 | |
| 5000000 | |
| 5100000 | |
| 5160000 | |
| 5500000 | |
| 5883000 | |
| 6000000 | |
| 7000000 | |
| 7200000 | |
| 7500000 | |
| 7700000 | |
| 8000000 | |
| 8400000 | |
| 8750000 | |
| 9000000 | |
| 9500000 | |
| 9600000 | |
| 9813500 | |
| 10000000 | |
| 11000000 | |
| 12000000 | |
| 12250000 | |
| 12500000 | |
| 12558618 | |
| 13000000 | |
| 13050000 | |
| 14000000 | |
| 14400000 | |
| 15000000 | |
| 15360628 | |
| 16160000 | |
| 16800000 | |
| 17297000 | |
| 17500000 | |
| 18000000 | |
| 19000000 | |
| 20000000 | |
| 21600000 | |
| 22000000 | |
| 22751089 | |
| 23000000 | |
| 24000000 | |
| 24500000 | |
| 24909600 | |
| 25000000 | |
| 26000000 | |
| 28800000 | |
| 29440500 | |
| 30000000 | |
| 32000000 | |
| 33000000 | |
| 35000000 | |
| 36000000 | |
| 36750000 | |
| 38000000 | |
| 39000000 | |
| 40000000 | |
| 42000000 | |
| 48000000 | |
| 49000000 | |
| 50000000 | |
| 54000000 | |
| 55000000 | |
| 56000000 | |
| 56672000 | |
| 60000000 | |
| 63000000 | |
| 63456198 | |
| 63750000 | |
| 67700000 | |
| 72000000 | |
| 77304360 | |
| 79566000 | |
| 80000000 | |
| 90000000 | |
| 94000000 | |
| 95000000 | |
| 98000000 | |
| 98135000 | |
| 101542000 | |
| 120000000 | |
| 121000000 | |
| 125000000 | |
| 150000000 | |
| 164500000 | |
| 180000000 | |
| 192000000 | |
| 220000000 | |
| 230000000 | |
| 248000000 | |
| 289636000 | |
| 300000000 | |
| 320000000 | |
| 330000000 | |
| 360000000 | |
| 394060000 | |
| 400000000 | |
| 421000000 | |
| 440000000 | |
| 500000000 | |
| 603556416 | |
| 1100000000 | |
| 1220000000 | |
| 1300000000 | |
| 1500000000 | |
| 1800000000 | |
| 2400000000 | |
| 2800000000 | |
| 4000000000 | |
| 4625000000 | |
| 12336210000 | |
| 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.