Enterprise survey 2006-2017
Argentina, 2006 - 2017
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Mar 29, 2019
Last modified
Mar 29, 2019
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10926
- Data files
- Argentina_2006_2010_2017
Cost For Establishment To Re-Purchase All Of Its Land And Buildings (n7b)
Data file: Argentina_2006_2010_2017
Overview
Valid:
1444
Invalid:
1664
Minimum:
-9
Maximum:
728831000
Type:
Discrete
Decimal:
0
Start:
1198
End:
1206
Width:
9
Range:
-
Format:
Questions and instructions
Literal question
If this establishment had to hypothetically purchase its own land and buildings, and machinery and equipment in use now, as they are in their current condition, how much would it cost to purchase each of the following?
- land and buildings
- land and buildings
Categories
| Value | Category |
|---|---|
| -9 | Don’t know |
| -8 | |
| 0 | |
| 2000 | |
| 5500 | |
| 6000 | |
| 6500 | |
| 12000 | |
| 15000 | |
| 20000 | |
| 24000 | |
| 25000 | |
| 27000 | |
| 30000 | |
| 31900 | |
| 35000 | |
| 40000 | |
| 45000 | |
| 50000 | |
| 55000 | |
| 60000 | |
| 70000 | |
| 80000 | |
| 82500 | |
| 90000 | |
| 95000 | |
| 96402 | |
| 100000 | |
| 115000 | |
| 120000 | |
| 130000 | |
| 150000 | |
| 160000 | |
| 170000 | |
| 173000 | |
| 175000 | |
| 180000 | |
| 200000 | |
| 210000 | |
| 225000 | |
| 240000 | |
| 245000 | |
| 250000 | |
| 261000 | |
| 269000 | |
| 280000 | |
| 288000 | |
| 296955 | |
| 300000 | |
| 305000 | |
| 310000 | |
| 320000 | |
| 325000 | |
| 335000 | |
| 350000 | |
| 352000 | |
| 360000 | |
| 375000 | |
| 380000 | |
| 400000 | |
| 410000 | |
| 417533 | |
| 450000 | |
| 480000 | |
| 500000 | |
| 530000 | |
| 550000 | |
| 556000 | |
| 600000 | |
| 630000 | |
| 650000 | |
| 700000 | |
| 750000 | |
| 760000 | |
| 780000 | |
| 800000 | |
| 850000 | |
| 900000 | |
| 941000 | |
| 950000 | |
| 1000000 | |
| 1080000 | |
| 1100000 | |
| 1200000 | |
| 1250000 | |
| 1300000 | |
| 1350000 | |
| 1400000 | |
| 1500000 | |
| 1560000 | |
| 1600000 | |
| 1680000 | |
| 1700000 | |
| 1800000 | |
| 1850000 | |
| 1900000 | |
| 1985000 | |
| 2000000 | |
| 2000709 | |
| 2050000 | |
| 2100000 | |
| 2200000 | |
| 2250000 | |
| 2300000 | |
| 2400000 | |
| 2500000 | |
| 2750000 | |
| 2815000 | |
| 2821220 | |
| 2830005 | |
| 3000000 | |
| 3187479 | |
| 3200000 | |
| 3240000 | |
| 3500000 | |
| 3510000 | |
| 3600000 | |
| 3800000 | |
| 3900000 | |
| 3972000 | |
| 3983095 | |
| 4000000 | |
| 4100000 | |
| 4200000 | |
| 4225000 | |
| 4500000 | |
| 4800000 | |
| 4900000 | |
| 4920000 | |
| 5000000 | |
| 5100000 | |
| 5247000 | |
| 5360000 | |
| 5400000 | |
| 5500000 | |
| 5600000 | |
| 6000000 | |
| 6146800 | |
| 6400000 | |
| 6500000 | |
| 6600000 | |
| 6956000 | |
| 7000000 | |
| 7500000 | |
| 7600000 | |
| 7740000 | |
| 7800000 | |
| 7900000 | |
| 8000000 | |
| 9000000 | |
| 9300000 | |
| 10000000 | |
| 10500000 | |
| 10800000 | |
| 11000000 | |
| 11202000 | |
| 11500000 | |
| 12000000 | |
| 13000000 | |
| 13330000 | |
| 14000000 | |
| 14400000 | |
| 15000000 | |
| 16000000 | |
| 16500000 | |
| 18000000 | |
| 19000000 | |
| 19689000 | |
| 20000000 | |
| 23320000 | |
| 24000000 | |
| 25000000 | |
| 26073109 | |
| 27000000 | |
| 28000000 | |
| 30000000 | |
| 31000000 | |
| 31700000 | |
| 32000000 | |
| 34200000 | |
| 35000000 | |
| 36000000 | |
| 36300000 | |
| 40000000 | |
| 42000000 | |
| 45000000 | |
| 47000000 | |
| 47370581 | |
| 50000000 | |
| 60000000 | |
| 62500000 | |
| 65000000 | |
| 66000000 | |
| 69000000 | |
| 70000000 | |
| 72000000 | |
| 80000000 | |
| 84739935 | |
| 85000000 | |
| 92500000 | |
| 100000000 | |
| 120000000 | |
| 140000000 | |
| 142000000 | |
| 150000000 | |
| 160000000 | |
| 200000000 | |
| 220000000 | |
| 225000000 | |
| 240000000 | |
| 280000000 | |
| 285000000 | |
| 300000000 | |
| 320000000 | |
| 390000000 | |
| 400000000 | |
| 450000000 | |
| 589500000 | |
| 662829000 | |
| 728831000 | |
| 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.