Enterprise Survey 2019
Lithuania, 2018 - 2020
Get MicrodataCreated on
Jan 19, 2021
Last modified
Jan 19, 2021
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- Data files
- lithuania_2019_full_data.dta
Total Annual Expenditure For Purchases of Equipment In Last FY (n5a)
Data file: lithuania_2019_full_data.dta
Overview
Valid:
210
Invalid:
148
Minimum:
-9
Maximum:
3000000000
Type:
Discrete
Decimal:
0
Start:
1333
End:
1342
Width:
10
Range:
-9 - 3000000000
Format:
Numeric
Questions and instructions
Literal question
N.5 In fiscal year [Insert last complete fiscal year], 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) | 4 |
1.9%
|
| 0 | 3 |
1.4%
|
|
| 1 | 1 |
0.5%
|
|
| 600 | 1 |
0.5%
|
|
| 800 | 2 |
1%
|
|
| 1000 | 1 |
0.5%
|
|
| 1500 | 4 |
1.9%
|
|
| 2000 | 6 |
2.9%
|
|
| 2639 | 1 |
0.5%
|
|
| 3000 | 4 |
1.9%
|
|
| 3500 | 1 |
0.5%
|
|
| 4000 | 2 |
1%
|
|
| 4991 | 1 |
0.5%
|
|
| 5000 | 5 |
2.4%
|
|
| 6000 | 1 |
0.5%
|
|
| 7000 | 1 |
0.5%
|
|
| 8000 | 3 |
1.4%
|
|
| 9414 | 1 |
0.5%
|
|
| 10000 | 17 |
8.1%
|
|
| 11000 | 1 |
0.5%
|
|
| 12000 | 2 |
1%
|
|
| 14000 | 1 |
0.5%
|
|
| 15000 | 5 |
2.4%
|
|
| 17000 | 1 |
0.5%
|
|
| 18000 | 1 |
0.5%
|
|
| 18500 | 1 |
0.5%
|
|
| 20000 | 16 |
7.6%
|
|
| 22000 | 3 |
1.4%
|
|
| 25000 | 2 |
1%
|
|
| 30000 | 3 |
1.4%
|
|
| 32000 | 1 |
0.5%
|
|
| 35000 | 1 |
0.5%
|
|
| 36000 | 1 |
0.5%
|
|
| 40000 | 6 |
2.9%
|
|
| 42000 | 1 |
0.5%
|
|
| 43000 | 1 |
0.5%
|
|
| 44670 | 1 |
0.5%
|
|
| 45000 | 1 |
0.5%
|
|
| 50000 | 10 |
4.8%
|
|
| 57343 | 1 |
0.5%
|
|
| 60000 | 4 |
1.9%
|
|
| 70000 | 2 |
1%
|
|
| 76000 | 1 |
0.5%
|
|
| 80000 | 2 |
1%
|
|
| 90000 | 1 |
0.5%
|
|
| 100000 | 14 |
6.7%
|
|
| 103400 | 1 |
0.5%
|
|
| 107000 | 1 |
0.5%
|
|
| 120000 | 2 |
1%
|
|
| 138000 | 1 |
0.5%
|
|
| 145572 | 1 |
0.5%
|
|
| 150000 | 3 |
1.4%
|
|
| 151788 | 1 |
0.5%
|
|
| 179350 | 1 |
0.5%
|
|
| 195061 | 1 |
0.5%
|
|
| 200000 | 10 |
4.8%
|
|
| 227566 | 1 |
0.5%
|
|
| 250000 | 5 |
2.4%
|
|
| 300000 | 6 |
2.9%
|
|
| 301105 | 1 |
0.5%
|
|
| 400000 | 2 |
1%
|
|
| 420284 | 1 |
0.5%
|
|
| 450000 | 1 |
0.5%
|
|
| 500000 | 6 |
2.9%
|
|
| 550000 | 1 |
0.5%
|
|
| 600000 | 2 |
1%
|
|
| 650000 | 1 |
0.5%
|
|
| 707000 | 1 |
0.5%
|
|
| 800000 | 1 |
0.5%
|
|
| 900000 | 1 |
0.5%
|
|
| 905000 | 1 |
0.5%
|
|
| 981000 | 1 |
0.5%
|
|
| 1000000 | 5 |
2.4%
|
|
| 1200000 | 2 |
1%
|
|
| 1500000 | 1 |
0.5%
|
|
| 2000000 | 1 |
0.5%
|
|
| 2500000 | 1 |
0.5%
|
|
| 7000000 | 1 |
0.5%
|
|
| 9000000 | 1 |
0.5%
|
|
| 3000000000 | 1 |
0.5%
|
|
| Sysmiss | 148 |
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.