Enterprise Survey 2019
Italy, 2018 - 2019
Get MicrodataCreated on
Jan 16, 2021
Last modified
Jan 16, 2021
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- Data files
- 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.