Enterprise Survey 2019
Ukraine, 2019
Get Microdata
Reference ID
UKR_2019_ES_v01_M
Producer(s)
The World Bank (WB), European Bank for Reconstruction and Development (EBRD), European Investment Bank (EIB)
Collection(s)
Metadata
Created on
Jul 13, 2020
Last modified
Jul 13, 2020
Page views
43306
Downloads
906
- Data files
- ukraine_2019_full_data.dta
Total Annual Expenditure For Purchases of Equipment In Last FY (n5a)
Data file: ukraine_2019_full_data.dta
Overview
Valid:
512
Invalid:
825
Minimum:
-9
Maximum:
20000000000
Type:
Discrete
Decimal:
0
Start:
1829
End:
1839
Width:
11
Range:
-9 - 20000000000
Format:
Numeric
Questions and instructions
Literal question
In fiscal year [insert last complete fiscal year], how much did this establishment spend on purchases of: New or used machinery, vehicles, and equipment
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -9 | Don't know (spontaneous) | 111 |
21.7%
|
| 0 | 2 |
0.4%
|
|
| 70 | 1 |
0.2%
|
|
| 100 | 5 |
1%
|
|
| 900 | 1 |
0.2%
|
|
| 5600 | 1 |
0.2%
|
|
| 6000 | 1 |
0.2%
|
|
| 8000 | 1 |
0.2%
|
|
| 10000 | 5 |
1%
|
|
| 15000 | 1 |
0.2%
|
|
| 20000 | 9 |
1.8%
|
|
| 25000 | 7 |
1.4%
|
|
| 30000 | 5 |
1%
|
|
| 32000 | 1 |
0.2%
|
|
| 34000 | 1 |
0.2%
|
|
| 35000 | 1 |
0.2%
|
|
| 40000 | 9 |
1.8%
|
|
| 45000 | 1 |
0.2%
|
|
| 48000 | 1 |
0.2%
|
|
| 50000 | 27 |
5.3%
|
|
| 52000 | 1 |
0.2%
|
|
| 54000 | 1 |
0.2%
|
|
| 55000 | 1 |
0.2%
|
|
| 60000 | 9 |
1.8%
|
|
| 70000 | 3 |
0.6%
|
|
| 80000 | 5 |
1%
|
|
| 90000 | 1 |
0.2%
|
|
| 100000 | 18 |
3.5%
|
|
| 110000 | 2 |
0.4%
|
|
| 120000 | 6 |
1.2%
|
|
| 130000 | 1 |
0.2%
|
|
| 140000 | 3 |
0.6%
|
|
| 150000 | 16 |
3.1%
|
|
| 160000 | 3 |
0.6%
|
|
| 180000 | 1 |
0.2%
|
|
| 200000 | 21 |
4.1%
|
|
| 230000 | 1 |
0.2%
|
|
| 237000 | 1 |
0.2%
|
|
| 250000 | 7 |
1.4%
|
|
| 280000 | 2 |
0.4%
|
|
| 300000 | 21 |
4.1%
|
|
| 350000 | 3 |
0.6%
|
|
| 360000 | 2 |
0.4%
|
|
| 400000 | 11 |
2.1%
|
|
| 411000 | 1 |
0.2%
|
|
| 450000 | 3 |
0.6%
|
|
| 486000 | 1 |
0.2%
|
|
| 500000 | 30 |
5.9%
|
|
| 505000 | 1 |
0.2%
|
|
| 560000 | 1 |
0.2%
|
|
| 600000 | 10 |
2%
|
|
| 620000 | 1 |
0.2%
|
|
| 700000 | 5 |
1%
|
|
| 750000 | 1 |
0.2%
|
|
| 800000 | 4 |
0.8%
|
|
| 900000 | 1 |
0.2%
|
|
| 1000000 | 13 |
2.5%
|
|
| 1100000 | 1 |
0.2%
|
|
| 1200000 | 5 |
1%
|
|
| 1300000 | 1 |
0.2%
|
|
| 1400000 | 1 |
0.2%
|
|
| 1500000 | 10 |
2%
|
|
| 2000000 | 21 |
4.1%
|
|
| 2100000 | 1 |
0.2%
|
|
| 2240000 | 1 |
0.2%
|
|
| 2500000 | 6 |
1.2%
|
|
| 3000000 | 5 |
1%
|
|
| 3500000 | 2 |
0.4%
|
|
| 3640000 | 1 |
0.2%
|
|
| 3900000 | 1 |
0.2%
|
|
| 4000000 | 3 |
0.6%
|
|
| 5000000 | 11 |
2.1%
|
|
| 5500000 | 2 |
0.4%
|
|
| 5600000 | 2 |
0.4%
|
|
| 6000000 | 3 |
0.6%
|
|
| 6400000 | 1 |
0.2%
|
|
| 7000000 | 1 |
0.2%
|
|
| 7500000 | 1 |
0.2%
|
|
| 9000000 | 1 |
0.2%
|
|
| 10000000 | 6 |
1.2%
|
|
| 11241000 | 1 |
0.2%
|
|
| 12000000 | 1 |
0.2%
|
|
| 13000000 | 1 |
0.2%
|
|
| 14000000 | 2 |
0.4%
|
|
| 15000000 | 3 |
0.6%
|
|
| 20000000 | 1 |
0.2%
|
|
| 25000000 | 2 |
0.4%
|
|
| 27000000 | 1 |
0.2%
|
|
| 30000000 | 1 |
0.2%
|
|
| 35000000 | 1 |
0.2%
|
|
| 40000000 | 1 |
0.2%
|
|
| 50000000 | 3 |
0.6%
|
|
| 60000000 | 2 |
0.4%
|
|
| 150000000 | 1 |
0.2%
|
|
| 20000000000 | 1 |
0.2%
|
|
| Sysmiss | 825 |
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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