Критерии создания регламента проверки контрагентов
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Details
Head department Ministry OF Emergency Situations of the Russian Federation on of the Moscow region
Moscow Region
OGRN: 1045022400070
TIN: 5036062440
Active. Last modified on: August 23, 2016
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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
14
Reliability Score
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Acting chief
Pereguda Alexander Yuryevich
20
years
Established
December 30, 2004
City Khimki
Revenue
No data
4 953
Connections
+2 last week
Employees
No data

Litigation

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Stats Over Time

Participation Total number of cases For the last year
Plaintiff
297 cases (▒▒▒▒▒ ₽) 42 cases (▒▒▒▒▒ ₽)
Defendant
209 cases (▒▒▒▒▒ ₽) 6 cases (▒▒▒▒▒ ₽)
Third party
160 cases (▒▒▒▒▒ ₽) 6 cases (▒▒▒▒▒ ₽)
Other party
460 cases (▒▒▒▒▒ ₽) 16 cases (▒▒▒▒▒ ₽)

Positive outcome — ▒▒%

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  • 148 cases (▒▒▒▒▒ ₽) won
  • 7 cases (▒▒▒▒▒ ₽) partially won
  • 46 cases (▒▒▒▒▒ ₽) not lost

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 (24)
Claims amount: ▒▒▒▒▒ ₽
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As defendant (5)
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As third party (6)
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As other party (15)
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Completed cases

As plaintiff (273)
Claims amount: ▒▒▒▒▒ ₽
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As defendant (204)
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As third party (154)
Claims amount: ▒▒▒▒▒ ₽
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As other party (445)
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Defendant
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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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