Enterprise Survey 2006
Argentina, 2006
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Reference ID
ARG_2006_ES_v01_M_WB
Producer(s)
World Bank
Created on
Sep 29, 2011
Last modified
Mar 29, 2019
Page views
28506
Downloads
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- Data files
-
Argentina-2006--full
data-
Hypothetical cost to purchase its own land and buildings (Ln7a)
Data file: Argentina-2006--full data-
Overview
Valid:
653
Invalid:
410
Type:
Discrete
Decimal:
0
Start:
1231
End:
1239
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?
Machinery and equipment (including vehicles)
Machinery and equipment (including vehicles)
Categories
| Value | Category |
|---|---|
| -9 | |
| -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 | |
| 250000 | |
| 261000 | |
| 280000 | |
| 296955 | |
| 300000 | |
| 305000 | |
| 310000 | |
| 320000 | |
| 325000 | |
| 350000 | |
| 352000 | |
| 360000 | |
| 375000 | |
| 380000 | |
| 400000 | |
| 410000 | |
| 450000 | |
| 480000 | |
| 500000 | |
| 550000 | |
| 556000 | |
| 600000 | |
| 630000 | |
| 650000 | |
| 700000 | |
| 750000 | |
| 780000 | |
| 800000 | |
| 850000 | |
| 900000 | |
| 950000 | |
| 1000000 | |
| 1200000 | |
| 1250000 | |
| 1300000 | |
| 1350000 | |
| 1400000 | |
| 1500000 | |
| 1600000 | |
| 1680000 | |
| 1800000 | |
| 1850000 | |
| 2000000 | |
| 2100000 | |
| 2200000 | |
| 2250000 | |
| 2300000 | |
| 2500000 | |
| 2750000 | |
| 2821220 | |
| 2830005 | |
| 3000000 | |
| 3983095 | |
| 4000000 | |
| 4100000 | |
| 4200000 | |
| 4225000 | |
| 4900000 | |
| 5000000 | |
| 5100000 | |
| 5360000 | |
| 5400000 | |
| 5600000 | |
| 6000000 | |
| 7000000 | |
| 7500000 | |
| 7740000 | |
| 7900000 | |
| 8000000 | |
| 9000000 | |
| 9300000 | |
| 10000000 | |
| 11000000 | |
| 12000000 | |
| 13000000 | |
| 14000000 | |
| 15000000 | |
| 16500000 | |
| 18000000 | |
| 19000000 | |
| 20000000 | |
| 25000000 | |
| 27000000 | |
| 28000000 | |
| 30000000 | |
| 40000000 | |
| 45000000 | |
| 47000000 | |
| 60000000 | |
| 69000000 | |
| 84739935 | |
| 92500000 | |
| 120000000 | |
| 140000000 | |
| 200000000 | |
| 225000000 | |
| 240000000 | |
| 300000000 | |
| 390000000 | |
| 450000000 | |
| 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.