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Details
Government of the Kamchatka Territory
Kamchatka Territory
OGRN: 1084101000081
TIN: 4101121231
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OKVED2 84.11.21
Activity of public authorities of subjects of the Russian Federation (the republics, edges, areas), except judicial authority, representations of executive bodies of the government of subjects of the Russian Federation at the President Russian Federats
Monitoring Notes Reports Contact information
95
Reliability Score
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Chairman
Chekin Yevgeny Alekseevich
17
years
Established
January 11, 2008
City Petropavlovsk-Kamchatsky
Revenue
No data
254
Connections
+0 last week
Employees
No data

Litigation

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Stats Over Time

Participation Total number of cases For the last year
Plaintiff
9 cases (▒▒▒▒▒ ₽) 0 cases (▒▒▒▒▒ ₽)
Defendant
44 cases (▒▒▒▒▒ ₽) 2 cases (▒▒▒▒▒ ₽)
Third party
37 cases (▒▒▒▒▒ ₽) 3 cases (▒▒▒▒▒ ₽)
Other party
26 cases (▒▒▒▒▒ ₽) 0 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 defendant (1)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount


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

As plaintiff (9)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
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Plaintiff
Defendant
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As defendant (43)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount


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As third party (35)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount


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As other party (26)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount


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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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