Enterprise Survey 2006
Argentina, 2006
Get Microdata
Reference ID
ARG_2006_ES_v01_M_WB
Producer(s)
World Bank
Collection(s)
Created on
Mar 24, 2011
Last modified
Sep 26, 2013
Page views
48932
Downloads
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- Data files
-
Argentina-2006--full
data-
Hypothetical cost to purchase its own machinery vehicles and equipment in use (Ln7b)
Data file: Argentina-2006--full data-
Overview
Valid:
653
Invalid:
410
Type:
Discrete
Decimal:
0
Start:
1240
End:
1248
Width:
9
Range:
-9 - 400000000
Format:
Numeric
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 | Cases | |
|---|---|---|---|
| -9 | 148 |
22.7%
|
|
| -8 | 5 |
0.8%
|
|
| 0 | 56 |
8.6%
|
|
| 25000 | 1 |
0.2%
|
|
| 50000 | 1 |
0.2%
|
|
| 70000 | 1 |
0.2%
|
|
| 80000 | 3 |
0.5%
|
|
| 100000 | 3 |
0.5%
|
|
| 124000 | 1 |
0.2%
|
|
| 140000 | 1 |
0.2%
|
|
| 150000 | 6 |
0.9%
|
|
| 165000 | 1 |
0.2%
|
|
| 180000 | 2 |
0.3%
|
|
| 200000 | 12 |
1.8%
|
|
| 210000 | 4 |
0.6%
|
|
| 240000 | 7 |
1.1%
|
|
| 250000 | 6 |
0.9%
|
|
| 300000 | 18 |
2.8%
|
|
| 320000 | 1 |
0.2%
|
|
| 325000 | 1 |
0.2%
|
|
| 350000 | 5 |
0.8%
|
|
| 360000 | 3 |
0.5%
|
|
| 370000 | 1 |
0.2%
|
|
| 380000 | 1 |
0.2%
|
|
| 400000 | 16 |
2.5%
|
|
| 403000 | 1 |
0.2%
|
|
| 420000 | 2 |
0.3%
|
|
| 430000 | 1 |
0.2%
|
|
| 450000 | 12 |
1.8%
|
|
| 470000 | 1 |
0.2%
|
|
| 471000 | 1 |
0.2%
|
|
| 500000 | 16 |
2.5%
|
|
| 540000 | 2 |
0.3%
|
|
| 555000 | 1 |
0.2%
|
|
| 600000 | 23 |
3.5%
|
|
| 650000 | 1 |
0.2%
|
|
| 700000 | 9 |
1.4%
|
|
| 750000 | 9 |
1.4%
|
|
| 800000 | 6 |
0.9%
|
|
| 858716 | 1 |
0.2%
|
|
| 900000 | 18 |
2.8%
|
|
| 1000000 | 18 |
2.8%
|
|
| 1050000 | 1 |
0.2%
|
|
| 1081000 | 1 |
0.2%
|
|
| 1100000 | 1 |
0.2%
|
|
| 1140000 | 1 |
0.2%
|
|
| 1200000 | 10 |
1.5%
|
|
| 1300000 | 1 |
0.2%
|
|
| 1400000 | 1 |
0.2%
|
|
| 1500000 | 28 |
4.3%
|
|
| 1548000 | 1 |
0.2%
|
|
| 1600000 | 1 |
0.2%
|
|
| 1699784 | 1 |
0.2%
|
|
| 1800000 | 12 |
1.8%
|
|
| 2000000 | 16 |
2.5%
|
|
| 2100000 | 6 |
0.9%
|
|
| 2250000 | 3 |
0.5%
|
|
| 2288000 | 1 |
0.2%
|
|
| 2400000 | 4 |
0.6%
|
|
| 2500000 | 8 |
1.2%
|
|
| 2700000 | 1 |
0.2%
|
|
| 2880000 | 1 |
0.2%
|
|
| 3000000 | 25 |
3.8%
|
|
| 3500000 | 1 |
0.2%
|
|
| 3600000 | 5 |
0.8%
|
|
| 3604120 | 1 |
0.2%
|
|
| 3800000 | 1 |
0.2%
|
|
| 4000000 | 9 |
1.4%
|
|
| 4293000 | 1 |
0.2%
|
|
| 4433822 | 1 |
0.2%
|
|
| 4500000 | 4 |
0.6%
|
|
| 5000000 | 6 |
0.9%
|
|
| 5700000 | 2 |
0.3%
|
|
| 6000000 | 7 |
1.1%
|
|
| 7000000 | 5 |
0.8%
|
|
| 8000000 | 1 |
0.2%
|
|
| 9000000 | 2 |
0.3%
|
|
| 9200000 | 1 |
0.2%
|
|
| 10000000 | 8 |
1.2%
|
|
| 10500000 | 1 |
0.2%
|
|
| 12000000 | 3 |
0.5%
|
|
| 12063000 | 1 |
0.2%
|
|
| 12637708 | 1 |
0.2%
|
|
| 14000000 | 1 |
0.2%
|
|
| 14500000 | 1 |
0.2%
|
|
| 15000000 | 6 |
0.9%
|
|
| 17000000 | 1 |
0.2%
|
|
| 18000000 | 1 |
0.2%
|
|
| 20000000 | 1 |
0.2%
|
|
| 21000000 | 2 |
0.3%
|
|
| 24000000 | 1 |
0.2%
|
|
| 26000000 | 1 |
0.2%
|
|
| 27000000 | 1 |
0.2%
|
|
| 30000000 | 4 |
0.6%
|
|
| 32000000 | 1 |
0.2%
|
|
| 34000000 | 1 |
0.2%
|
|
| 40000000 | 1 |
0.2%
|
|
| 45000000 | 2 |
0.3%
|
|
| 50000000 | 2 |
0.3%
|
|
| 53000000 | 1 |
0.2%
|
|
| 60000000 | 3 |
0.5%
|
|
| 70000000 | 1 |
0.2%
|
|
| 72000000 | 1 |
0.2%
|
|
| 85000000 | 1 |
0.2%
|
|
| 120000000 | 1 |
0.2%
|
|
| 135000000 | 1 |
0.2%
|
|
| 150000000 | 1 |
0.2%
|
|
| 170000000 | 1 |
0.2%
|
|
| 286192000 | 1 |
0.2%
|
|
| 300000000 | 2 |
0.3%
|
|
| 400000000 | 1 |
0.2%
|
|
| Sysmiss | 410 |
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.