Enterprise Survey 2019
Lithuania, 2018 - 2020
Get Microdata
Reference ID
LTU_2019_ES_v01_M
Producer(s)
World Bank Group (WBG), European Bank for Reconstruction and Development (EBRD), European Investment Bank (EIB)
Collection(s)
Metadata
Created on
Jul 15, 2020
Last modified
Jul 15, 2020
Page views
20052
Downloads
604
- 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.