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Enterprise Survey 2019

Russian Federation, 2019
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Reference ID
RUS_2019_ES_v01_M
Producer(s)
World Bank Group (WBG), European Bank for Reconstruction and Development (EBRD), European Investment Bank (EIB)
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jan 16, 2021
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7112
Downloads
128

Cost For Establishment To Re-Purchase All of Its Machinery (n7a)

Data file: russianfederation_2019_full_data

Overview

Valid: 889
Invalid: 434
Type: Discrete
Decimal: 0
Start: 2353
End: 2365
Width: 13
Range: -9 - 1500000000000
Format: Numeric

Questions and instructions

Literal question
N.7 Hypothetically, if this establishment were to purchase all the machinery, vehicles, and equipment it uses now, in their current condition and regardless of whether the establishment owns them or not, how much would they cost, independently of whether they are owned, rented or leased?
Categories
Value Category Cases
-9 Don't know (spontaneous) 336
37.8%
0 2
0.2%
200000 2
0.2%
300000 2
0.2%
400000 4
0.4%
443000 1
0.1%
490000 1
0.1%
500000 8
0.9%
600000 2
0.2%
700000 2
0.2%
750000 1
0.1%
780000 1
0.1%
800000 2
0.2%
900000 2
0.2%
1000000 12
1.3%
1200000 3
0.3%
1500000 13
1.5%
1800000 2
0.2%
2000000 13
1.5%
2300000 1
0.1%
2500000 9
1%
2600000 1
0.1%
3000000 18
2%
3500000 5
0.6%
3700000 2
0.2%
4000000 11
1.2%
4300000 3
0.3%
4500000 2
0.2%
4900000 1
0.1%
5000000 18
2%
5320000 1
0.1%
5430000 1
0.1%
6000000 16
1.8%
6480000 1
0.1%
6600000 1
0.1%
7000000 18
2%
7500000 1
0.1%
8000000 11
1.2%
9000000 6
0.7%
9200000 1
0.1%
9500000 1
0.1%
10000000 28
3.1%
11000000 4
0.4%
11500000 1
0.1%
12000000 18
2%
12700000 1
0.1%
13000000 2
0.2%
13400000 1
0.1%
14000000 5
0.6%
15000000 32
3.6%
16000000 2
0.2%
17000000 1
0.1%
18000000 2
0.2%
18350000 1
0.1%
18540000 1
0.1%
19000000 1
0.1%
20000000 20
2.2%
20300000 1
0.1%
21000000 1
0.1%
23000000 1
0.1%
24000000 1
0.1%
24500000 1
0.1%
25000000 14
1.6%
27000000 1
0.1%
28000000 1
0.1%
29500000 1
0.1%
30000000 11
1.2%
31000000 2
0.2%
32000000 1
0.1%
33000000 1
0.1%
35000000 7
0.8%
38000000 1
0.1%
40000000 7
0.8%
43500000 1
0.1%
45000000 2
0.2%
49398000 1
0.1%
50000000 12
1.3%
51000000 1
0.1%
53000000 1
0.1%
55000000 3
0.3%
59000000 1
0.1%
60000000 5
0.6%
65000000 2
0.2%
66000000 1
0.1%
70000000 2
0.2%
75000000 1
0.1%
80000000 3
0.3%
90000000 3
0.3%
95000000 1
0.1%
97000000 1
0.1%
99000000 1
0.1%
100000000 8
0.9%
105000000 1
0.1%
106621000 1
0.1%
116000000 1
0.1%
118000000 1
0.1%
120000000 2
0.2%
150000000 4
0.4%
170000000 1
0.1%
180000000 1
0.1%
200000000 5
0.6%
250000000 10
1.1%
300000000 3
0.3%
350000000 3
0.3%
400000000 3
0.3%
450000000 3
0.3%
500000000 8
0.9%
600000000 9
1%
660000000 1
0.1%
700000000 2
0.2%
740000000 1
0.1%
750000000 1
0.1%
800000000 6
0.7%
900000000 2
0.2%
1000000000 3
0.3%
1200000000 2
0.2%
1500000000 2
0.2%
2000000000 3
0.3%
2189548000 1
0.1%
2500000000 2
0.2%
2778462000 1
0.1%
3000000000 1
0.1%
3100000000 1
0.1%
3550000000 1
0.1%
4000000000 1
0.1%
5000000000 1
0.1%
5500000000 1
0.1%
6000000000 1
0.1%
7000000000 2
0.2%
7500000000 1
0.1%
9500000000 2
0.2%
10000000000 2
0.2%
12000000000 1
0.1%
15000000000 1
0.1%
17000000000 1
0.1%
18000000000 2
0.2%
18700000000 1
0.1%
20000000000 1
0.1%
25000000000 1
0.1%
35000000000 4
0.4%
40000000000 2
0.2%
48000000000 1
0.1%
55000000000 1
0.1%
65000000000 1
0.1%
70000000000 4
0.4%
75000000000 2
0.2%
100000000000 1
0.1%
150000000000 1
0.1%
165000000000 1
0.1%
240000000000 1
0.1%
250000000000 2
0.2%
540000000000 1
0.1%
1000000000000 1
0.1%
1500000000000 1
0.1%
Sysmiss 434
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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