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    Home / Central Data Catalog / ENTERPRISE_SURVEYS / ARG_2006_ES_V01_M_WB / variable [F1]
enterprise_surveys

Enterprise Survey 2006

Argentina, 2006
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Reference ID
ARG_2006_ES_v01_M_WB
DOI
https://doi.org/10.48529/nk0w-7x19
Producer(s)
World Bank
Collection(s)
Enterprise Surveys
Metadata
DDI/XML JSON
Created on
Mar 24, 2011
Last modified
Sep 26, 2013
Page views
60030
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5713
  • Study Description
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  • 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: -9 - 728831000
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?
Machinery and equipment (including vehicles)
Categories
Value Category Cases
-9 142
21.7%
-8 5
0.8%
0 10
1.5%
2000 1
0.2%
5500 1
0.2%
6000 2
0.3%
6500 1
0.2%
12000 1
0.2%
15000 2
0.3%
20000 3
0.5%
24000 1
0.2%
25000 1
0.2%
27000 1
0.2%
30000 1
0.2%
31900 1
0.2%
35000 2
0.3%
40000 7
1.1%
45000 1
0.2%
50000 7
1.1%
55000 1
0.2%
60000 5
0.8%
70000 2
0.3%
80000 7
1.1%
82500 1
0.2%
90000 3
0.5%
95000 1
0.2%
96402 1
0.2%
100000 21
3.2%
115000 1
0.2%
120000 3
0.5%
130000 2
0.3%
150000 12
1.8%
160000 1
0.2%
170000 1
0.2%
173000 1
0.2%
175000 1
0.2%
180000 2
0.3%
200000 31
4.7%
210000 4
0.6%
225000 1
0.2%
240000 3
0.5%
250000 3
0.5%
261000 1
0.2%
280000 2
0.3%
296955 1
0.2%
300000 26
4%
305000 1
0.2%
310000 1
0.2%
320000 1
0.2%
325000 1
0.2%
350000 6
0.9%
352000 1
0.2%
360000 2
0.3%
375000 1
0.2%
380000 1
0.2%
400000 14
2.1%
410000 1
0.2%
450000 7
1.1%
480000 1
0.2%
500000 17
2.6%
550000 1
0.2%
556000 1
0.2%
600000 10
1.5%
630000 1
0.2%
650000 1
0.2%
700000 14
2.1%
750000 8
1.2%
780000 1
0.2%
800000 9
1.4%
850000 1
0.2%
900000 8
1.2%
950000 1
0.2%
1000000 23
3.5%
1200000 3
0.5%
1250000 1
0.2%
1300000 1
0.2%
1350000 1
0.2%
1400000 3
0.5%
1500000 32
4.9%
1600000 2
0.3%
1680000 1
0.2%
1800000 5
0.8%
1850000 1
0.2%
2000000 13
2%
2100000 4
0.6%
2200000 1
0.2%
2250000 1
0.2%
2300000 1
0.2%
2500000 6
0.9%
2750000 1
0.2%
2821220 1
0.2%
2830005 1
0.2%
3000000 18
2.8%
3983095 1
0.2%
4000000 1
0.2%
4100000 1
0.2%
4200000 1
0.2%
4225000 1
0.2%
4900000 1
0.2%
5000000 10
1.5%
5100000 1
0.2%
5360000 1
0.2%
5400000 1
0.2%
5600000 1
0.2%
6000000 8
1.2%
7000000 3
0.5%
7500000 1
0.2%
7740000 1
0.2%
7900000 1
0.2%
8000000 3
0.5%
9000000 3
0.5%
9300000 1
0.2%
10000000 4
0.6%
11000000 3
0.5%
12000000 1
0.2%
13000000 1
0.2%
14000000 1
0.2%
15000000 4
0.6%
16500000 1
0.2%
18000000 3
0.5%
19000000 1
0.2%
20000000 5
0.8%
25000000 1
0.2%
27000000 1
0.2%
28000000 1
0.2%
30000000 6
0.9%
40000000 1
0.2%
45000000 1
0.2%
47000000 1
0.2%
60000000 3
0.5%
69000000 1
0.2%
84739935 1
0.2%
92500000 1
0.2%
120000000 2
0.3%
140000000 1
0.2%
200000000 2
0.3%
225000000 1
0.2%
240000000 1
0.2%
300000000 1
0.2%
390000000 1
0.2%
450000000 1
0.2%
728831000 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.
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