Enterprise Survey 2019
Russian Federation, 2019
Get Microdata
Reference ID
RUS_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
Dec 17, 2019
Last modified
Dec 17, 2019
Page views
28009
Downloads
794
- Data files
- russianfederation_2019_full_data
Total Annual Expenditure For Purchases of Equipment In Last FY (n5a)
Data file: russianfederation_2019_full_data
Overview
Valid:
382
Invalid:
941
Type:
Discrete
Decimal:
0
Start:
1839
End:
1848
Width:
10
Range:
-9 - 3080000000
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) | 67 |
17.5%
|
| 0 | 3 |
0.8%
|
|
| 20 | 1 |
0.3%
|
|
| 1000 | 1 |
0.3%
|
|
| 15000 | 1 |
0.3%
|
|
| 50000 | 1 |
0.3%
|
|
| 70000 | 1 |
0.3%
|
|
| 72000 | 1 |
0.3%
|
|
| 80000 | 2 |
0.5%
|
|
| 98000 | 1 |
0.3%
|
|
| 100000 | 8 |
2.1%
|
|
| 130000 | 1 |
0.3%
|
|
| 150000 | 4 |
1%
|
|
| 170000 | 1 |
0.3%
|
|
| 180000 | 1 |
0.3%
|
|
| 200000 | 5 |
1.3%
|
|
| 211000 | 1 |
0.3%
|
|
| 220000 | 1 |
0.3%
|
|
| 230000 | 1 |
0.3%
|
|
| 250000 | 2 |
0.5%
|
|
| 300000 | 7 |
1.8%
|
|
| 320000 | 1 |
0.3%
|
|
| 340000 | 1 |
0.3%
|
|
| 345000 | 1 |
0.3%
|
|
| 350000 | 4 |
1%
|
|
| 400000 | 7 |
1.8%
|
|
| 430000 | 1 |
0.3%
|
|
| 445000 | 1 |
0.3%
|
|
| 500000 | 17 |
4.5%
|
|
| 550000 | 2 |
0.5%
|
|
| 560000 | 1 |
0.3%
|
|
| 600000 | 8 |
2.1%
|
|
| 620000 | 1 |
0.3%
|
|
| 635000 | 1 |
0.3%
|
|
| 645000 | 1 |
0.3%
|
|
| 670000 | 1 |
0.3%
|
|
| 700000 | 7 |
1.8%
|
|
| 750000 | 1 |
0.3%
|
|
| 800000 | 4 |
1%
|
|
| 810000 | 1 |
0.3%
|
|
| 891000 | 1 |
0.3%
|
|
| 900000 | 2 |
0.5%
|
|
| 1000000 | 22 |
5.8%
|
|
| 1100000 | 1 |
0.3%
|
|
| 1200000 | 4 |
1%
|
|
| 1300000 | 2 |
0.5%
|
|
| 1350000 | 1 |
0.3%
|
|
| 1400000 | 1 |
0.3%
|
|
| 1420000 | 1 |
0.3%
|
|
| 1500000 | 10 |
2.6%
|
|
| 1650000 | 1 |
0.3%
|
|
| 1700000 | 1 |
0.3%
|
|
| 1800000 | 2 |
0.5%
|
|
| 2000000 | 16 |
4.2%
|
|
| 2200000 | 1 |
0.3%
|
|
| 2251000 | 1 |
0.3%
|
|
| 2300000 | 1 |
0.3%
|
|
| 2500000 | 3 |
0.8%
|
|
| 2600000 | 1 |
0.3%
|
|
| 2700000 | 2 |
0.5%
|
|
| 2800000 | 1 |
0.3%
|
|
| 3000000 | 10 |
2.6%
|
|
| 3200000 | 1 |
0.3%
|
|
| 3400000 | 1 |
0.3%
|
|
| 3500000 | 1 |
0.3%
|
|
| 3610000 | 1 |
0.3%
|
|
| 3870000 | 1 |
0.3%
|
|
| 4000000 | 8 |
2.1%
|
|
| 4500000 | 4 |
1%
|
|
| 4600000 | 1 |
0.3%
|
|
| 4700000 | 1 |
0.3%
|
|
| 4800000 | 1 |
0.3%
|
|
| 4960000 | 1 |
0.3%
|
|
| 5000000 | 13 |
3.4%
|
|
| 5200000 | 1 |
0.3%
|
|
| 5300000 | 1 |
0.3%
|
|
| 5700000 | 1 |
0.3%
|
|
| 6000000 | 2 |
0.5%
|
|
| 6621000 | 1 |
0.3%
|
|
| 7000000 | 8 |
2.1%
|
|
| 7500000 | 1 |
0.3%
|
|
| 8000000 | 2 |
0.5%
|
|
| 8200000 | 1 |
0.3%
|
|
| 9000000 | 1 |
0.3%
|
|
| 9500000 | 2 |
0.5%
|
|
| 10000000 | 11 |
2.9%
|
|
| 10760000 | 1 |
0.3%
|
|
| 11000000 | 2 |
0.5%
|
|
| 11700000 | 1 |
0.3%
|
|
| 12000000 | 4 |
1%
|
|
| 13000000 | 3 |
0.8%
|
|
| 14800000 | 1 |
0.3%
|
|
| 15000000 | 2 |
0.5%
|
|
| 16000000 | 1 |
0.3%
|
|
| 20000000 | 13 |
3.4%
|
|
| 22000000 | 1 |
0.3%
|
|
| 25000000 | 5 |
1.3%
|
|
| 27000000 | 3 |
0.8%
|
|
| 30000000 | 3 |
0.8%
|
|
| 40000000 | 2 |
0.5%
|
|
| 50000000 | 5 |
1.3%
|
|
| 55000000 | 2 |
0.5%
|
|
| 60000000 | 1 |
0.3%
|
|
| 70000000 | 1 |
0.3%
|
|
| 80000000 | 2 |
0.5%
|
|
| 150000000 | 1 |
0.3%
|
|
| 250000000 | 1 |
0.3%
|
|
| 299564000 | 1 |
0.3%
|
|
| 300000000 | 1 |
0.3%
|
|
| 1100000000 | 1 |
0.3%
|
|
| 3080000000 | 1 |
0.3%
|
|
| Sysmiss | 941 |
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.