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MINPROSVESHCHENIYA RUSSIA
Moscow
OGRN: 1187746728840
TIN: 7707418081
Active
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OKVED2 84.11.11 Total: 3
Activities of federal public authorities, except the plenipotentiaries of president of the russian federation and territorial bodies of federal executive authorities
Monitoring Notes Reports Contact information
100
Reliability Score
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Minister
Kravtsov Sergei Sergeevich
6
years
Established
August 6, 2018
City Moscow
Revenue
No data
810
Connections
-3 last week
Employees
No data

Litigation

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Stats Over Time

Participation Total number of cases For the last year
Plaintiff
24 cases (▒▒▒▒▒ ₽) 2 cases (▒▒▒▒▒ ₽)
Defendant
31 cases (▒▒▒▒▒ ₽) 0 cases (▒▒▒▒▒ ₽)
Third party
91 cases (▒▒▒▒▒ ₽) 9 cases (▒▒▒▒▒ ₽)
Other party
7 cases (▒▒▒▒▒ ₽) 3 cases (▒▒▒▒▒ ₽)

Positive outcome — ▒▒%

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Negative outcome — ▒▒%

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Under consideration — ▒%

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Undefined — ▒▒%

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Type of dispute

%
Administrative
%
Civil
%
Bankruptcy-related
%
Other
×
Claim amount
×
Type of dispute
×
Outcome of case
×

Current cases

As plaintiff (1)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
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As defendant (1)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
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Plaintiff
Defendant
Instance
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As third party (15)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
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Plaintiff
Defendant
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As other party (2)
Claims amount: ▒▒▒▒▒ ₽
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Plaintiff
Defendant
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Completed cases

As plaintiff (23)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
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Plaintiff
Defendant
Instance
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As defendant (30)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
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Plaintiff
Defendant
Instance
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As third party (76)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
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Plaintiff
Defendant
Instance
Claim amount


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As other party (5)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
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Plaintiff
Defendant
Instance
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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!

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