Enterprise survey 2006-2017
Argentina, 2006 - 2017
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Mar 29, 2019
Last modified
Mar 29, 2019
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- Data files
- Argentina_2006_2010_2017
Total Annual Expenditure For Purchases Of Land And Buildings In Last Fiscal Yr (n5b)
Data file: Argentina_2006_2010_2017
Overview
Valid:
2263
Invalid:
845
Minimum:
-9
Maximum:
565721000
Type:
Discrete
Decimal:
0
Start:
788
End:
796
Width:
9
Range:
-
Format:
Questions and instructions
Literal question
In fiscal year 2015, how much did this establishment spend on purchases of and buildings, including expansion and renovations of existing structures?
- land and buildings, including expansion and renovations of existing structures?
- land and buildings, including expansion and renovations of existing structures?
Categories
| Value | Category |
|---|---|
| -9 | Don't know (spontaneous) |
| -8 | |
| 0 | |
| 6 | |
| 15 | |
| 30 | |
| 10000 | |
| 12000 | |
| 12350 | |
| 12500 | |
| 15000 | |
| 17000 | |
| 20000 | |
| 20770 | |
| 25000 | |
| 29000 | |
| 30000 | |
| 30822 | |
| 40000 | |
| 46410 | |
| 50000 | |
| 60000 | |
| 67800 | |
| 68000 | |
| 70000 | |
| 75000 | |
| 80000 | |
| 82035 | |
| 84000 | |
| 87560 | |
| 90000 | |
| 95000 | |
| 100000 | |
| 103500 | |
| 105000 | |
| 109000 | |
| 120000 | |
| 120800 | |
| 130000 | |
| 135225 | |
| 136649 | |
| 150000 | |
| 160000 | |
| 162000 | |
| 170000 | |
| 173000 | |
| 180000 | |
| 181231 | |
| 200000 | |
| 221000 | |
| 235000 | |
| 240000 | |
| 250000 | |
| 260000 | |
| 268186 | |
| 300000 | |
| 316000 | |
| 316279 | |
| 326000 | |
| 328360 | |
| 340000 | |
| 350000 | |
| 360000 | |
| 369000 | |
| 369328 | |
| 395848 | |
| 400000 | |
| 406000 | |
| 430000 | |
| 436000 | |
| 450000 | |
| 480000 | |
| 484000 | |
| 500000 | |
| 518000 | |
| 540000 | |
| 547000 | |
| 580000 | |
| 586000 | |
| 600000 | |
| 607000 | |
| 624000 | |
| 660000 | |
| 700000 | |
| 701146 | |
| 750000 | |
| 785000 | |
| 800000 | |
| 840000 | |
| 892736 | |
| 900000 | |
| 916650 | |
| 941000 | |
| 1000000 | |
| 1111938 | |
| 1150000 | |
| 1200000 | |
| 1240000 | |
| 1280930 | |
| 1300000 | |
| 1400000 | |
| 1500000 | |
| 1558000 | |
| 1600000 | |
| 1634008 | |
| 1650000 | |
| 1796000 | |
| 1800000 | |
| 1900000 | |
| 1950000 | |
| 2000000 | |
| 2094000 | |
| 2230000 | |
| 2278000 | |
| 2290099 | |
| 2300000 | |
| 2396000 | |
| 2400000 | |
| 2500000 | |
| 2550000 | |
| 2600000 | |
| 2800000 | |
| 2873710 | |
| 3000000 | |
| 3009699 | |
| 3100000 | |
| 3478000 | |
| 3505000 | |
| 3600000 | |
| 3900000 | |
| 4000000 | |
| 4200000 | |
| 4500000 | |
| 4700000 | |
| 5000000 | |
| 5150000 | |
| 6000000 | |
| 6066000 | |
| 6284000 | |
| 6500000 | |
| 7000000 | |
| 8000000 | |
| 9000000 | |
| 9400000 | |
| 9500000 | |
| 9650000 | |
| 10000000 | |
| 10300000 | |
| 11202000 | |
| 11404888 | |
| 12000000 | |
| 14000000 | |
| 14016171 | |
| 15000000 | |
| 16000000 | |
| 18000000 | |
| 18500000 | |
| 19000000 | |
| 20000000 | |
| 21000000 | |
| 22000000 | |
| 23900000 | |
| 27000000 | |
| 30000000 | |
| 30500000 | |
| 33000000 | |
| 35000000 | |
| 40000000 | |
| 41000000 | |
| 57000000 | |
| 63000000 | |
| 72014000 | |
| 75000000 | |
| 77000000 | |
| 80000000 | |
| 105000000 | |
| 120000000 | |
| 150000000 | |
| 186000000 | |
| 200000000 | |
| 565721000 | |
| 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.