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Details
Head department Ministry OF Emergency Situations of the Russian Federation on of the autonomous district Yamalo-Nenets Autonomous area
Yamalo-Nenets Autonomous District
OGRN: 1048900005252
TIN: 8901015913
Active
Profile views
1,864
+45 last week
Subscribers
2
+0 last week
Company-related news
111
+2 last week
OKVED2 84.11.13 Total: 7
Activities of territorial bodies of federal executive authorities in cities and regions of subjects of the russian federation
Monitoring Notes Reports Contact information
74
Reliability Score
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Chief
Gilev Oleg Vladimirovich
20
years
Established
November 30, 2004
City Salekhard
Revenue
No data
1 391
Connections
-6 last week
Employees
No data

Litigation

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Stats Over Time

Participation Total number of cases For the last year
Plaintiff
52 cases (▒▒▒▒▒ ₽) 5 cases (▒▒▒▒▒ ₽)
Defendant
313 cases (▒▒▒▒▒ ₽) 24 cases (▒▒▒▒▒ ₽)
Third party
326 cases (▒▒▒▒▒ ₽) 5 cases (▒▒▒▒▒ ₽)
Other party
49 cases (▒▒▒▒▒ ₽) 5 cases (▒▒▒▒▒ ₽)

Positive outcome — ▒▒%

▒▒▒▒▒
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  • 17 cases (▒▒▒▒▒ ₽) won
  • 0 cases (▒▒▒▒▒ ₽) partially won
  • 30 cases (▒▒▒▒▒ ₽) not lost

Negative outcome — ▒▒%

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Under consideration — ▒%

▒▒▒▒▒

Undefined — ▒▒%

▒▒▒▒▒

Type of dispute

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

Current cases

As plaintiff (3)
Claims amount: ▒▒▒▒▒ ₽
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Complexity
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As defendant (9)
Claims amount: ▒▒▒▒▒ ₽
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As third party (3)
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Completed cases

As plaintiff (49)
Claims amount: ▒▒▒▒▒ ₽
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Defendant
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As defendant (304)
Claims amount: ▒▒▒▒▒ ₽
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Plaintiff
Defendant
Instance
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As third party (323)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
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Plaintiff
Defendant
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As other party (49)
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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