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Details
Administration of the Primorsky district of Saint Petersburg
Saint Petersburg
OGRN: 1027807593318
TIN: 7814002313
Active
Profile views
4,357
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Subscribers
2
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Company-related news
25
-1 last week
OKVED2 84.11.22
Activities of public authorities of subjects of the Russian Federation for implementation of the powers in the cities and areas
Monitoring Notes Reports Contact information
65
Reliability Score
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Head of administration
Nikonorov Aleksei Vladimirovich
33
years
Established
September 16, 1991
City Saint Petersburg
Revenue
No data
1 784
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
58 cases (▒▒▒▒▒ ₽) 3 cases (▒▒▒▒▒ ₽)
Defendant
328 cases (▒▒▒▒▒ ₽) 29 cases (▒▒▒▒▒ ₽)
Third party
116 cases (▒▒▒▒▒ ₽) 10 cases (▒▒▒▒▒ ₽)
Other party
15 cases (▒▒▒▒▒ ₽) 0 cases (▒▒▒▒▒ ₽)

Positive outcome — ▒▒%

▒▒▒▒▒
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  • 14 cases (▒▒▒▒▒ ₽) won
  • 3 cases (▒▒▒▒▒ ₽) partially won
  • 56 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 (23)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
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As third party (8)
Claims amount: ▒▒▒▒▒ ₽
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Complexity
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As other party (1)
Claims amount: ▒▒▒▒▒ ₽
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Completed cases

As plaintiff (55)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
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Plaintiff
Defendant
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As defendant (305)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
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Plaintiff
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As third party (108)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
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Plaintiff
Defendant
Instance
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As other party (14)
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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