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    Home / Central Data Catalog / ENTERPRISE_SURVEYS / ITA_2019_ES_V01_M / variable [F2]
enterprise_surveys

Enterprise Survey 2019

Italy, 2018 - 2019
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Reference ID
ITA_2019_ES_v01_M
DOI
https://doi.org/10.48529/g7wd-0p87
Producer(s)
World Bank Group (WBG), European Bank for Reconstruction and Development (EBRD), European Investment Bank (EIB)
Collection(s)
Enterprise Surveys
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Dec 27, 2019
Last modified
Dec 27, 2019
Page views
39590
Downloads
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  • italy_2019_full_data

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

Data file: italy_2019_full_data

Overview

Valid: 461
Invalid: 299
Type: Discrete
Decimal: 0
Start: 1943
End: 1952
Width: 10
Range: -9 - 4000000000
Format: Numeric

Questions and instructions

Literal question
N.7 Hypothetically, if this establishment were to purchase all the machinery, vehicles, and equipment 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?
Categories
Value Category Cases
-9 Don't know (spontaneous) 156
33.8%
0 1
0.2%
2000 2
0.4%
3800 1
0.2%
5000 2
0.4%
10000 3
0.7%
12000 1
0.2%
15000 3
0.7%
20000 1
0.2%
25000 1
0.2%
30000 3
0.7%
40000 3
0.7%
50000 5
1.1%
55000 1
0.2%
60000 2
0.4%
70000 2
0.4%
80000 1
0.2%
100000 10
2.2%
150000 2
0.4%
180000 1
0.2%
200000 6
1.3%
220000 1
0.2%
250000 3
0.7%
300000 8
1.7%
350000 2
0.4%
400000 5
1.1%
430000 1
0.2%
500000 10
2.2%
525000 1
0.2%
550000 2
0.4%
600000 4
0.9%
650000 2
0.4%
700000 2
0.4%
750000 1
0.2%
800000 5
1.1%
900000 2
0.4%
1000000 30
6.5%
1200000 3
0.7%
1250000 1
0.2%
1500000 13
2.8%
1500008 1
0.2%
2000000 17
3.7%
2500000 2
0.4%
2900000 1
0.2%
3000000 10
2.2%
3500000 1
0.2%
3600000 2
0.4%
4000000 4
0.9%
5000000 11
2.4%
5600000 1
0.2%
6000000 4
0.9%
6500000 2
0.4%
7000000 3
0.7%
8000000 4
0.9%
8800000 1
0.2%
9000000 2
0.4%
9500000 1
0.2%
10000000 19
4.1%
10800000 1
0.2%
11000000 1
0.2%
11250000 1
0.2%
13000000 1
0.2%
15000000 7
1.5%
18000000 1
0.2%
19000000 1
0.2%
20000000 4
0.9%
25000000 5
1.1%
30000000 12
2.6%
35000000 4
0.9%
38000000 1
0.2%
40000000 4
0.9%
50000000 11
2.4%
55000000 2
0.4%
60000000 3
0.7%
65000000 2
0.4%
70000000 2
0.4%
100000000 3
0.7%
150000000 1
0.2%
500000000 2
0.4%
800000000 1
0.2%
900000000 1
0.2%
4000000000 1
0.2%
Sysmiss 299
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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