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 Year Prior To Last FY (n5c)
Data file: russianfederation_2019_full_data
Overview
Valid:
263
Invalid:
1060
Type:
Discrete
Decimal:
0
Start:
1916
End:
1924
Width:
9
Range:
-9 - 400000000
Format:
Numeric
Questions and instructions
Literal question
N.5c In fiscal year [Insert last complete fiscal year minus one], 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) | 62 |
23.6%
|
| 50000 | 1 |
0.4%
|
|
| 100000 | 2 |
0.8%
|
|
| 107000 | 1 |
0.4%
|
|
| 130000 | 1 |
0.4%
|
|
| 132000 | 1 |
0.4%
|
|
| 150000 | 4 |
1.5%
|
|
| 200000 | 4 |
1.5%
|
|
| 230000 | 1 |
0.4%
|
|
| 240000 | 1 |
0.4%
|
|
| 247000 | 1 |
0.4%
|
|
| 250000 | 3 |
1.1%
|
|
| 267000 | 1 |
0.4%
|
|
| 300000 | 3 |
1.1%
|
|
| 340000 | 1 |
0.4%
|
|
| 350000 | 1 |
0.4%
|
|
| 400000 | 6 |
2.3%
|
|
| 440000 | 1 |
0.4%
|
|
| 490000 | 1 |
0.4%
|
|
| 500000 | 13 |
4.9%
|
|
| 540000 | 1 |
0.4%
|
|
| 550000 | 1 |
0.4%
|
|
| 580000 | 1 |
0.4%
|
|
| 590000 | 1 |
0.4%
|
|
| 600000 | 5 |
1.9%
|
|
| 654000 | 1 |
0.4%
|
|
| 700000 | 7 |
2.7%
|
|
| 720000 | 1 |
0.4%
|
|
| 740000 | 1 |
0.4%
|
|
| 800000 | 3 |
1.1%
|
|
| 850000 | 1 |
0.4%
|
|
| 870000 | 1 |
0.4%
|
|
| 880000 | 1 |
0.4%
|
|
| 900000 | 2 |
0.8%
|
|
| 950000 | 1 |
0.4%
|
|
| 980000 | 1 |
0.4%
|
|
| 1000000 | 12 |
4.6%
|
|
| 1100000 | 1 |
0.4%
|
|
| 1200000 | 2 |
0.8%
|
|
| 1300000 | 2 |
0.8%
|
|
| 1470000 | 1 |
0.4%
|
|
| 1500000 | 6 |
2.3%
|
|
| 1650000 | 1 |
0.4%
|
|
| 1700000 | 2 |
0.8%
|
|
| 2000000 | 6 |
2.3%
|
|
| 2300000 | 1 |
0.4%
|
|
| 2445000 | 1 |
0.4%
|
|
| 2500000 | 1 |
0.4%
|
|
| 3000000 | 9 |
3.4%
|
|
| 3400000 | 1 |
0.4%
|
|
| 3500000 | 2 |
0.8%
|
|
| 3600000 | 1 |
0.4%
|
|
| 4000000 | 5 |
1.9%
|
|
| 4320000 | 1 |
0.4%
|
|
| 4500000 | 1 |
0.4%
|
|
| 4700000 | 1 |
0.4%
|
|
| 5000000 | 7 |
2.7%
|
|
| 5500000 | 1 |
0.4%
|
|
| 5600000 | 1 |
0.4%
|
|
| 6000000 | 2 |
0.8%
|
|
| 7000000 | 7 |
2.7%
|
|
| 7500000 | 1 |
0.4%
|
|
| 8000000 | 2 |
0.8%
|
|
| 10000000 | 7 |
2.7%
|
|
| 12000000 | 5 |
1.9%
|
|
| 14000000 | 2 |
0.8%
|
|
| 15000000 | 3 |
1.1%
|
|
| 16000000 | 1 |
0.4%
|
|
| 20000000 | 5 |
1.9%
|
|
| 21000000 | 2 |
0.8%
|
|
| 24838000 | 1 |
0.4%
|
|
| 25000000 | 3 |
1.1%
|
|
| 28000000 | 1 |
0.4%
|
|
| 30000000 | 3 |
1.1%
|
|
| 35000000 | 1 |
0.4%
|
|
| 40000000 | 2 |
0.8%
|
|
| 45000000 | 1 |
0.4%
|
|
| 46000000 | 1 |
0.4%
|
|
| 50000000 | 2 |
0.8%
|
|
| 65500000 | 1 |
0.4%
|
|
| 90000000 | 1 |
0.4%
|
|
| 150000000 | 3 |
1.1%
|
|
| 308000000 | 1 |
0.4%
|
|
| 400000000 | 1 |
0.4%
|
|
| Sysmiss | 1060 |
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.