Enterprise Survey 2019
Russian Federation, 2019
Get MicrodataCreated on
Jan 16, 2021
Last modified
Jan 16, 2021
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- 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.