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Ministry of Health of the Saratov region
OGRN: 1076450011440
TIN: 6455046666
Active. Last modified on: March 18, 2009
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Activities of public authorities of subjects of the russian federation for general questions management, except judicial authority
Monitoring
Notes
Reports
Contact information
Revenue
No data
Minister
Dudakov Vladimir Aleksandrovich
95
Reliability Score
Minister
Dudakov Vladimir Aleksandrovich
17
years
Established
December 13, 2007
City Saratov
Revenue
No data
2 806
Connections
+2
last week
Employees
No data
Stats Over Time
| Participation | Total number of cases | For the last year |
|---|---|---|
|
✖
Plaintiff
|
435 cases (▒▒▒▒▒ ₽) | 101 cases (▒▒▒▒▒ ₽) |
|
✖
Defendant
|
228 cases (▒▒▒▒▒ ₽) | 4 cases (▒▒▒▒▒ ₽) |
|
✖
Third party
|
362 cases (▒▒▒▒▒ ₽) | 33 cases (▒▒▒▒▒ ₽) |
|
✖
Other party
|
13 cases (▒▒▒▒▒ ₽) | 0 cases (▒▒▒▒▒ ₽) |
Positive outcome — ▒%
▒▒▒▒▒₽
- 26 cases (▒▒▒▒▒ ₽) won
- 11 cases (▒▒▒▒▒ ₽) partially won
- 11 cases (▒▒▒▒▒ ₽) not lost
Negative outcome — ▒▒%
▒▒▒▒▒₽
- 41 cases (▒▒▒▒▒ ₽) lost
- 15 cases (▒▒▒▒▒ ₽) partially lost
- 26 cases (▒▒▒▒▒ ₽) not won
Type of dispute
%
Administrative
%
Civil
%
Bankruptcy-related
%
Other
Current cases
As plaintiff (29)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As defendant (5)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As third party (15)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
Completed cases
As plaintiff (406)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As defendant (223)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As third party (347)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As other party (13)
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!
