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    Home / Central Data Catalog / ENTERPRISE_SURVEYS / ARG_2017_ES_V01_M / variable [F2]
enterprise_surveys

Enterprise Survey 2017

Argentina, 2017 - 2018
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Reference ID
ARG_2017_ES_v01_M
DOI
https://doi.org/10.48529/92d5-zn73
Producer(s)
World Bank
Collection(s)
Enterprise Surveys
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Nov 27, 2018
Last modified
Nov 27, 2018
Page views
48067
Downloads
2759
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  • argentina_2017_full_data

Net Book Value Of Machinery Vehicles, And Equipment In Last Fiscal Year (n6a)

Data file: argentina_2017_full_data

Overview

Valid: 649
Invalid: 342
Type: Discrete
Decimal: 0
Start: 2015
End: 2024
Width: 10
Range: -9 - 1200000000
Format: Numeric

Questions and instructions

Literal question
From this establishment's balance sheet for fiscal year 2015, what was the net book value, that is the value of assets after depreciation, of the following:
- Machinery, vehicles, and equipment
Categories
Value Category Cases
-9 Don't know (spontaneous) 452
69.6%
0 5
0.8%
30000 1
0.2%
34774 1
0.2%
36000 1
0.2%
50000 2
0.3%
81000 1
0.2%
91526 1
0.2%
107000 1
0.2%
133190 1
0.2%
140000 1
0.2%
160000 1
0.2%
170000 1
0.2%
236000 1
0.2%
250000 1
0.2%
287100 1
0.2%
300000 2
0.3%
332000 1
0.2%
352927 1
0.2%
380000 1
0.2%
385000 1
0.2%
401075 1
0.2%
407000 1
0.2%
420000 1
0.2%
426000 1
0.2%
500000 4
0.6%
512000 1
0.2%
556000 1
0.2%
600000 6
0.9%
600600 1
0.2%
636000 1
0.2%
650000 1
0.2%
685000 1
0.2%
686000 1
0.2%
726231 1
0.2%
750420 1
0.2%
769628 1
0.2%
800000 3
0.5%
900000 1
0.2%
966000 1
0.2%
999999 1
0.2%
1000000 10
1.5%
1045186 1
0.2%
1095625 1
0.2%
1200000 2
0.3%
1240000 1
0.2%
1280000 1
0.2%
1300000 1
0.2%
1443985 1
0.2%
1468000 1
0.2%
1500000 7
1.1%
1600000 2
0.3%
1700000 1
0.2%
1750000 1
0.2%
1800000 2
0.3%
1989053 1
0.2%
2000000 2
0.3%
2101259 1
0.2%
2160000 1
0.2%
2200000 1
0.2%
2216872 1
0.2%
2300000 2
0.3%
2340000 1
0.2%
2423917 1
0.2%
2428609 1
0.2%
2500000 2
0.3%
2638000 1
0.2%
2800000 1
0.2%
2811000 1
0.2%
3000000 5
0.8%
3210000 1
0.2%
3400000 1
0.2%
3500000 1
0.2%
4000000 7
1.1%
4015900 1
0.2%
4400000 1
0.2%
4412250 1
0.2%
4500000 1
0.2%
4600000 1
0.2%
4900000 1
0.2%
5000000 2
0.3%
5100000 1
0.2%
6000000 1
0.2%
6261000 1
0.2%
7000000 3
0.5%
7600000 1
0.2%
8000000 5
0.8%
8400000 1
0.2%
8500000 1
0.2%
9000000 2
0.3%
10000000 4
0.6%
10100000 1
0.2%
11000000 1
0.2%
11275000 1
0.2%
12000000 4
0.6%
12326000 1
0.2%
13000000 1
0.2%
13500000 1
0.2%
14000000 1
0.2%
15000000 4
0.6%
16000000 1
0.2%
18000000 1
0.2%
19000000 1
0.2%
19400000 1
0.2%
20000000 1
0.2%
21000000 1
0.2%
25500000 1
0.2%
35000000 1
0.2%
37000000 2
0.3%
37254000 1
0.2%
39245000 1
0.2%
40000000 1
0.2%
41245626 1
0.2%
42000000 1
0.2%
44000000 2
0.3%
44291000 1
0.2%
48000000 1
0.2%
51308000 1
0.2%
53460000 1
0.2%
67000000 1
0.2%
75000000 1
0.2%
75313000 1
0.2%
102000000 1
0.2%
109000000 1
0.2%
110000000 1
0.2%
161000000 1
0.2%
270000000 1
0.2%
270190000 1
0.2%
300000000 1
0.2%
360000000 1
0.2%
1000000000 1
0.2%
1200000000 1
0.2%
Sysmiss 342
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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