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

Enterprise survey 2006-2017, Panel data

Argentina, 2006 - 2017
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Reference ID
ARG_2006-2017_ES-P_v01_M
DOI
https://doi.org/10.48529/grx5-4g86
Producer(s)
World Bank
Collection(s)
Enterprise Surveys
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Jan 08, 2019
Last modified
Jan 08, 2019
Page views
53655
Downloads
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  • 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: -9 - 565721000
Format: Numeric

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?
Categories
Value Category Cases
-9 Don't know (spontaneous) 183
8.1%
-8 11
0.5%
0 1608
71.1%
6 1
0%
15 1
0%
30 1
0%
10000 1
0%
12000 1
0%
12350 1
0%
12500 1
0%
15000 1
0%
17000 1
0%
20000 3
0.1%
20770 1
0%
25000 1
0%
29000 1
0%
30000 5
0.2%
30822 1
0%
40000 1
0%
46410 1
0%
50000 8
0.4%
60000 2
0.1%
67800 1
0%
68000 1
0%
70000 5
0.2%
75000 2
0.1%
80000 5
0.2%
82035 1
0%
84000 1
0%
87560 1
0%
90000 2
0.1%
95000 2
0.1%
100000 12
0.5%
103500 1
0%
105000 1
0%
109000 1
0%
120000 3
0.1%
120800 1
0%
130000 2
0.1%
135225 1
0%
136649 1
0%
150000 10
0.4%
160000 1
0%
162000 1
0%
170000 2
0.1%
173000 1
0%
180000 4
0.2%
181231 1
0%
200000 20
0.9%
221000 1
0%
235000 1
0%
240000 2
0.1%
250000 6
0.3%
260000 1
0%
268186 1
0%
300000 23
1%
316000 1
0%
316279 1
0%
326000 1
0%
328360 1
0%
340000 1
0%
350000 2
0.1%
360000 2
0.1%
369000 1
0%
369328 1
0%
395848 1
0%
400000 15
0.7%
406000 1
0%
430000 1
0%
436000 1
0%
450000 4
0.2%
480000 2
0.1%
484000 1
0%
500000 19
0.8%
518000 1
0%
540000 1
0%
547000 1
0%
580000 1
0%
586000 1
0%
600000 12
0.5%
607000 1
0%
624000 1
0%
660000 1
0%
700000 5
0.2%
701146 1
0%
750000 2
0.1%
785000 1
0%
800000 11
0.5%
840000 1
0%
892736 1
0%
900000 3
0.1%
916650 1
0%
941000 1
0%
1000000 18
0.8%
1111938 1
0%
1150000 1
0%
1200000 7
0.3%
1240000 1
0%
1280930 1
0%
1300000 2
0.1%
1400000 2
0.1%
1500000 9
0.4%
1558000 1
0%
1600000 3
0.1%
1634008 1
0%
1650000 1
0%
1796000 1
0%
1800000 4
0.2%
1900000 1
0%
1950000 1
0%
2000000 20
0.9%
2094000 1
0%
2230000 1
0%
2278000 1
0%
2290099 1
0%
2300000 2
0.1%
2396000 1
0%
2400000 2
0.1%
2500000 3
0.1%
2550000 1
0%
2600000 1
0%
2800000 1
0%
2873710 1
0%
3000000 15
0.7%
3009699 1
0%
3100000 1
0%
3478000 1
0%
3505000 1
0%
3600000 2
0.1%
3900000 1
0%
4000000 7
0.3%
4200000 1
0%
4500000 1
0%
4700000 1
0%
5000000 10
0.4%
5150000 1
0%
6000000 7
0.3%
6066000 1
0%
6284000 1
0%
6500000 2
0.1%
7000000 4
0.2%
8000000 5
0.2%
9000000 3
0.1%
9400000 1
0%
9500000 1
0%
9650000 1
0%
10000000 3
0.1%
10300000 1
0%
11202000 1
0%
11404888 1
0%
12000000 2
0.1%
14000000 1
0%
14016171 1
0%
15000000 2
0.1%
16000000 2
0.1%
18000000 2
0.1%
18500000 1
0%
19000000 2
0.1%
20000000 2
0.1%
21000000 1
0%
22000000 1
0%
23900000 1
0%
27000000 1
0%
30000000 4
0.2%
30500000 1
0%
33000000 1
0%
35000000 1
0%
40000000 1
0%
41000000 1
0%
57000000 1
0%
63000000 1
0%
72014000 1
0%
75000000 1
0%
77000000 1
0%
80000000 1
0%
105000000 1
0%
120000000 1
0%
150000000 1
0%
186000000 1
0%
200000000 1
0%
565721000 1
0%
Sysmiss 845
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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