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Administration OF THE CITY District Gubkinsk
OGRN: 1023102262622
TIN: 3127050181
Active
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OKVED2
84.11.35
Деятельность органов местного самоуправления городских округов
Monitoring
Notes
Reports
Contact information
Revenue
No data
Head of administration
Lobaznov Mikhail Aleksandrovich
98
Reliability Score
Head of administration
Lobaznov Mikhail Aleksandrovich
24
years
Established
October 27, 2000
City Gubkin
Revenue
No data
1 315
Connections
-10
last week
Employees
No data
Stats Over Time
| Participation | Total number of cases | For the last year |
|---|---|---|
|
✖
Plaintiff
|
228 cases (▒▒▒▒▒ ₽) | 9 cases (▒▒▒▒▒ ₽) |
|
✖
Defendant
|
245 cases (▒▒▒▒▒ ₽) | 10 cases (▒▒▒▒▒ ₽) |
|
✖
Third party
|
221 cases (▒▒▒▒▒ ₽) | 10 cases (▒▒▒▒▒ ₽) |
|
✖
Other party
|
138 cases (▒▒▒▒▒ ₽) | 24 cases (▒▒▒▒▒ ₽) |
Positive outcome — ▒▒%
▒▒▒▒▒₽
- 144 cases (▒▒▒▒▒ ₽) won
- 13 cases (▒▒▒▒▒ ₽) partially won
- 20 cases (▒▒▒▒▒ ₽) not lost
Negative outcome — ▒▒%
▒▒▒▒▒₽
- 167 cases (▒▒▒▒▒ ₽) lost
- 4 cases (▒▒▒▒▒ ₽) partially lost
- 8 cases (▒▒▒▒▒ ₽) not won
Type of dispute
%
Administrative
%
Civil
%
Bankruptcy-related
%
Other
Current cases
As plaintiff (7)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As defendant (6)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As third party (2)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As other party (1)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
Completed cases
As plaintiff (221)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As defendant (239)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As third party (219)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As other party (137)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
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!
