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
38168
Downloads
1175
- Data files
- russianfederation_2019_full_data
Fuels Made From Petroleum Consumed By The Establishment In Last FY (BMGe2)
Data file: russianfederation_2019_full_data
Overview
Valid:
1323
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
2629
End:
2636
Width:
8
Range:
-9 - 95000000
Format:
Numeric
Questions and instructions
Literal question
BMGE.2 In fiscal year [Insert last complete fiscal year], what amount of fuels made from petroleum did this establishment consume?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -9 | Don't know (spontaneous) | 771 |
58.3%
|
| 0 | 358 |
27.1%
|
|
| 15 | 1 |
0.1%
|
|
| 20 | 1 |
0.1%
|
|
| 30 | 1 |
0.1%
|
|
| 60 | 1 |
0.1%
|
|
| 76 | 1 |
0.1%
|
|
| 100 | 1 |
0.1%
|
|
| 120 | 1 |
0.1%
|
|
| 200 | 1 |
0.1%
|
|
| 220 | 1 |
0.1%
|
|
| 410 | 1 |
0.1%
|
|
| 500 | 3 |
0.2%
|
|
| 552 | 1 |
0.1%
|
|
| 600 | 3 |
0.2%
|
|
| 700 | 1 |
0.1%
|
|
| 800 | 1 |
0.1%
|
|
| 1160 | 1 |
0.1%
|
|
| 2000 | 5 |
0.4%
|
|
| 2300 | 2 |
0.2%
|
|
| 2500 | 3 |
0.2%
|
|
| 3000 | 3 |
0.2%
|
|
| 3600 | 1 |
0.1%
|
|
| 4000 | 1 |
0.1%
|
|
| 4800 | 1 |
0.1%
|
|
| 5000 | 3 |
0.2%
|
|
| 5500 | 2 |
0.2%
|
|
| 6000 | 3 |
0.2%
|
|
| 7200 | 1 |
0.1%
|
|
| 7400 | 2 |
0.2%
|
|
| 9000 | 1 |
0.1%
|
|
| 10000 | 6 |
0.5%
|
|
| 10080 | 1 |
0.1%
|
|
| 11000 | 2 |
0.2%
|
|
| 12000 | 1 |
0.1%
|
|
| 13000 | 2 |
0.2%
|
|
| 14000 | 1 |
0.1%
|
|
| 15000 | 4 |
0.3%
|
|
| 16000 | 3 |
0.2%
|
|
| 17000 | 2 |
0.2%
|
|
| 18000 | 9 |
0.7%
|
|
| 18500 | 4 |
0.3%
|
|
| 19000 | 2 |
0.2%
|
|
| 20000 | 7 |
0.5%
|
|
| 25000 | 3 |
0.2%
|
|
| 27000 | 2 |
0.2%
|
|
| 28000 | 2 |
0.2%
|
|
| 30000 | 3 |
0.2%
|
|
| 35000 | 3 |
0.2%
|
|
| 36000 | 2 |
0.2%
|
|
| 37000 | 10 |
0.8%
|
|
| 40000 | 2 |
0.2%
|
|
| 46000 | 1 |
0.1%
|
|
| 50000 | 3 |
0.2%
|
|
| 54000 | 1 |
0.1%
|
|
| 55000 | 11 |
0.8%
|
|
| 60000 | 1 |
0.1%
|
|
| 65000 | 2 |
0.2%
|
|
| 70000 | 1 |
0.1%
|
|
| 74000 | 6 |
0.5%
|
|
| 75000 | 2 |
0.2%
|
|
| 80000 | 2 |
0.2%
|
|
| 84000 | 1 |
0.1%
|
|
| 85000 | 1 |
0.1%
|
|
| 90000 | 12 |
0.9%
|
|
| 92000 | 6 |
0.5%
|
|
| 93000 | 1 |
0.1%
|
|
| 95000 | 1 |
0.1%
|
|
| 100000 | 1 |
0.1%
|
|
| 110000 | 2 |
0.2%
|
|
| 120000 | 1 |
0.1%
|
|
| 120009 | 1 |
0.1%
|
|
| 150000 | 5 |
0.4%
|
|
| 180000 | 1 |
0.1%
|
|
| 200000 | 3 |
0.2%
|
|
| 250000 | 2 |
0.2%
|
|
| 300000 | 1 |
0.1%
|
|
| 500000 | 1 |
0.1%
|
|
| 850000 | 1 |
0.1%
|
|
| 950000 | 1 |
0.1%
|
|
| 1400000 | 1 |
0.1%
|
|
| 2500000 | 1 |
0.1%
|
|
| 95000000 | 1 |
0.1%
|
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.
Question post text
If 0 or -9, GO TO BMGE.3