Enterprise Survey 2020
Denmark, 2020 - 2021
Get MicrodataCreated on
Jan 03, 2022
Last modified
Jan 03, 2022
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- Data files
- Denmark-2020-full-data.dta
Total Annual Expenditure For Purchases of Equipment In Year Prior To Last FY (n5c)
Data file: Denmark-2020-full-data.dta
Overview
Valid:
457
Invalid:
538
Minimum:
-9
Maximum:
2000000000
Type:
Discrete
Decimal:
0
Start:
1958
End:
1967
Width:
10
Range:
-9 - 2000000000
Format:
Numeric
Questions and instructions
Literal question
In fiscal year [Insert last complete fiscal year minus one], how much did this establishment spend on purchases of:
- New or used machinery, vehicles, and equipment
- New or used machinery, vehicles, and equipment
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -9 | Don't know (spontaneous) | 17 |
3.7%
|
| 0 | 7 |
1.5%
|
|
| 10000 | 1 |
0.2%
|
|
| 20000 | 5 |
1.1%
|
|
| 21000 | 1 |
0.2%
|
|
| 25000 | 1 |
0.2%
|
|
| 30000 | 2 |
0.4%
|
|
| 47000 | 1 |
0.2%
|
|
| 50000 | 3 |
0.7%
|
|
| 70000 | 2 |
0.4%
|
|
| 75000 | 2 |
0.4%
|
|
| 80000 | 1 |
0.2%
|
|
| 95000 | 1 |
0.2%
|
|
| 100000 | 7 |
1.5%
|
|
| 120000 | 1 |
0.2%
|
|
| 125000 | 2 |
0.4%
|
|
| 130000 | 1 |
0.2%
|
|
| 150000 | 6 |
1.3%
|
|
| 170000 | 1 |
0.2%
|
|
| 200000 | 22 |
4.8%
|
|
| 250000 | 7 |
1.5%
|
|
| 300000 | 18 |
3.9%
|
|
| 350000 | 2 |
0.4%
|
|
| 400000 | 6 |
1.3%
|
|
| 450000 | 1 |
0.2%
|
|
| 500000 | 34 |
7.4%
|
|
| 600000 | 4 |
0.9%
|
|
| 700000 | 3 |
0.7%
|
|
| 750000 | 3 |
0.7%
|
|
| 800000 | 4 |
0.9%
|
|
| 919000 | 1 |
0.2%
|
|
| 1000000 | 42 |
9.2%
|
|
| 1200000 | 3 |
0.7%
|
|
| 1300000 | 1 |
0.2%
|
|
| 1400000 | 1 |
0.2%
|
|
| 1500000 | 16 |
3.5%
|
|
| 1600000 | 1 |
0.2%
|
|
| 1703000 | 1 |
0.2%
|
|
| 2000000 | 37 |
8.1%
|
|
| 2200000 | 1 |
0.2%
|
|
| 2250000 | 1 |
0.2%
|
|
| 2300000 | 1 |
0.2%
|
|
| 2500000 | 10 |
2.2%
|
|
| 2700000 | 1 |
0.2%
|
|
| 3000000 | 20 |
4.4%
|
|
| 3200000 | 1 |
0.2%
|
|
| 3500000 | 5 |
1.1%
|
|
| 3750000 | 1 |
0.2%
|
|
| 4000000 | 12 |
2.6%
|
|
| 4500000 | 5 |
1.1%
|
|
| 5000000 | 23 |
5%
|
|
| 5700000 | 2 |
0.4%
|
|
| 5800000 | 1 |
0.2%
|
|
| 6000000 | 9 |
2%
|
|
| 7000000 | 9 |
2%
|
|
| 8000000 | 6 |
1.3%
|
|
| 9000000 | 1 |
0.2%
|
|
| 10000000 | 16 |
3.5%
|
|
| 12000000 | 5 |
1.1%
|
|
| 14000000 | 1 |
0.2%
|
|
| 14900000 | 1 |
0.2%
|
|
| 15000000 | 8 |
1.8%
|
|
| 17000000 | 1 |
0.2%
|
|
| 18000000 | 1 |
0.2%
|
|
| 20000000 | 7 |
1.5%
|
|
| 22000000 | 3 |
0.7%
|
|
| 25000000 | 4 |
0.9%
|
|
| 27000000 | 1 |
0.2%
|
|
| 30000000 | 8 |
1.8%
|
|
| 37000000 | 1 |
0.2%
|
|
| 40000000 | 1 |
0.2%
|
|
| 50000000 | 6 |
1.3%
|
|
| 60000000 | 1 |
0.2%
|
|
| 64000000 | 1 |
0.2%
|
|
| 75000000 | 1 |
0.2%
|
|
| 85000000 | 1 |
0.2%
|
|
| 100000000 | 3 |
0.7%
|
|
| 130000000 | 2 |
0.4%
|
|
| 150000000 | 1 |
0.2%
|
|
| 200000000 | 2 |
0.4%
|
|
| 350000000 | 1 |
0.2%
|
|
| 1000000000 | 1 |
0.2%
|
|
| 2000000000 | 1 |
0.2%
|
|
| Sysmiss | 538 |
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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