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FEDERAL STATE-FUNDED EDUCATIONAL INSTITUTION FOREIGN ECONOMIC ASSOCIATION TO RYAZGM OF MINISTRY OF HEALTH OF THE RUSSIAN FEDERATION
OGRN: 1036212013408
TIN: 6228013199
Active. Last modified on: February 24, 2025
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Higher education
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Chancellor
Kalinin Roman Yevgenievich
89
Reliability Score
Chancellor
Kalinin Roman Yevgenievich
32
years
Established
July 27, 1992
City Ryazan
Revenue
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906
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Stats Over Time
| Participation | Total number of cases | For the last year |
|---|---|---|
|
✖
Plaintiff
|
20 cases (▒▒▒▒▒ ₽) | 8 cases (▒▒▒▒▒ ₽) |
|
✖
Defendant
|
22 cases (▒▒▒▒▒ ₽) | 5 cases (▒▒▒▒▒ ₽) |
|
✖
Third party
|
11 cases (▒▒▒▒▒ ₽) | 0 cases (▒▒▒▒▒ ₽) |
|
✖
Other party
|
2 cases (▒▒▒▒▒ ₽) | 0 cases (▒▒▒▒▒ ₽) |
Positive outcome — ▒▒%
▒▒▒▒▒₽
- 2 cases (▒▒▒▒▒ ₽) won
- 2 cases (▒▒▒▒▒ ₽) partially won
- 3 cases (▒▒▒▒▒ ₽) not lost
Negative outcome — ▒▒%
▒▒▒▒▒₽
- 7 cases (▒▒▒▒▒ ₽) lost
- 5 cases (▒▒▒▒▒ ₽) partially lost
- 2 cases (▒▒▒▒▒ ₽) not won
Type of dispute
%
Administrative
%
Civil
%
Bankruptcy-related
%
Other
Current cases
As plaintiff (2)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As defendant (3)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
Completed cases
As plaintiff (18)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As defendant (19)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As third party (11)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As other party (2)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
Data sources
Information about company arbitration cases is collected from public sources.
Accurate binding to a company can be created only if the information source contains its TIN and OGRN values. If identification details are not specified, the binding is created by using linguistic algorithms. Although these algorithms are being constantly improved, some information may be absent.
If you have noticed an error or lack of information, please let us know about it. Let's improve Seldon.Basis together!
Data sources
Information about company arbitration cases is collected from public sources.
Accurate binding to a company can be created only if the information source contains its TIN and OGRN values. If identification details are not specified, the binding is created by using linguistic algorithms. Although these algorithms are being constantly improved, some information may be absent.
If you have noticed an error or lack of information, please let us know about it. Let's improve Seldon.Basis together!
