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    Home / Central Data Catalog / ARG_2006-2017_ES-P_V01_M / variable [F2]
central

Enterprise survey 2006-2017

Argentina, 2006 - 2017
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Reference ID
ARG_2006-2017_ES-P_v01_M
Producer(s)
World Bank
Metadata
DDI/XML JSON
Created on
Mar 29, 2019
Last modified
Mar 29, 2019
Page views
11143
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  • Argentina_2006_2010_2017

Cost For Establishment To Re-Purchase All Of Its Machinery (n7a)

Data file: Argentina_2006_2010_2017

Overview

Valid: 2094
Invalid: 1014
Minimum: -9
Maximum: 12000000000
Type: Discrete
Decimal: 0
Start: 1004
End: 1014
Width: 11
Range: -
Format:

Questions and instructions

Literal question
Hypothetically, if this establishment were to purchase the assets it uses now, in their current condition and regardless of whether the establishment owns them or not, how much would they cost, independently of whether they are owned, rented or leased?
- machinery, vehicles, and equipment
Categories
Value Category
-9 Don't know (spontaneous)
-8
0
5000
10000
25000
30000
32010
36000
39000
40000
42000
50000
55000
60000
70000
75000
76600
80000
88400
100000
120000
124000
130000
140000
150000
151580
160000
165000
175000
180000
183900
200000
210000
230000
240000
250000
270000
272344
280000
290000
300000
320000
325000
350000
356500
360000
370000
375000
380000
390000
400000
403000
420000
430000
432642
450000
468000
470000
471000
500000
520000
540000
550000
555000
600000
605000
620000
640000
644000
650000
680000
700000
750000
800000
825000
850000
858716
880000
900000
924000
950000
1000000
1050000
1081000
1100000
1140000
1200000
1215000
1280000
1300000
1400000
1436646
1500000
1548000
1600000
1699784
1800000
1870000
1957000
2000000
2054007
2100000
2136000
2137636
2200000
2250000
2288000
2300000
2336000
2400000
2478000
2490000
2500000
2700000
2760000
2800000
2880000
3000000
3100000
3143000
3380000
3400000
3500000
3600000
3604120
3800000
3804000
4000000
4200000
4293000
4433822
4500000
4800000
5000000
5272000
5330000
5500000
5700000
5760000
5800000
6000000
6098377
6400000
6500000
7000000
7100000
7500000
8000000
8500000
9000000
9070000
9200000
10000000
10100000
10500000
10972000
11016000
12000000
12063000
12162000
12326000
12600000
12637708
13000000
13500000
14000000
14500000
15000000
16000000
16700000
17000000
17226000
18000000
19000000
19200000
19500000
20000000
21000000
23000000
24000000
25000000
26000000
27000000
28000000
29000000
29332000
30000000
30682000
32000000
34000000
35000000
36000000
40000000
42000000
43487872
44000000
45000000
46000000
46945785
50000000
53000000
55000000
56000000
60000000
60500000
63000000
64000000
64500000
70000000
72000000
75000000
80000000
82500000
85000000
98000000
100000000
112000000
113576000
113774123
120000000
125000000
130000000
135000000
150000000
167000000
168000000
170000000
200000000
232000000
245000000
250000000
260000000
286192000
300000000
340000000
400000000
450000000
500000000
550200000
573000000
600000000
1085000000
1600000000
2773158000
9300000000
12000000000
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.
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