Small cities • 2018 • past ranking

Město Klášterec nad Ohří

IČO 00261939

Buyer profile lacks mandatory machine readability. Tender documentation is well prepared, thus there is no need to modify or cancel the procedure.


Bidder participation

Is the level of competition satisfactory?   detailed info 

average 49%

Winner concentration

Isn't majority of contracts awarded to small circle of firms?   detailed info 

average 55%
Largest suppliers Contracts count Contracts volume Kč
Marius Pedersen a.s.
2 59,140,541
NEPRO stavební a.s.
3 28,879,574
3 27,382,207
Ziegler Hasičská Technika s.r.o.
1 7,288,000
STAVMAX - Bezděk s.r.o.
1 6,798,637
Other suppliers 5 3,108,096

Pro-competitive tools

Does the buyer foster the competition by using the available tools?   detailed info 

average 59%

Public procurement share on total purchases

What fraction of purchases was made under procurement law?   detailed info 

average 66%
Purchases Volume (Kč)
Public procurement 234,293,741
Unregulated purchases 380,442,669
Total 614,736,410

Competitive contracting

How often does buyer use non-competitive procedures?   detailed info 

average 91%
No contracts in negotiated procedure without publication.

Consistent conduct

Does buyer discourage bidders by frequent competition cancellations or modifications?   detailed info 

average 77%

Journal data quality

Does buyer publish vital data in official journal?   detailed info 

average 91%
Type of flaw Contracts count
Bidders count not published 0% (0 from 13)
Final or estimated price not published 8% (1 from 13)
Procedure type not published 0% (0 from 13)
Missing supplier ID 0% (0 from 13)
Missing buyer ID 0% (0 from 13)
Wrong buyer name 0% (0 from 13)
Call and award notices contradict each other 0% (0 from 13)
Missing call for tenders 0% (0 from 13)

Buyer profile data quality

Does the buyer profile fulfill the legal requirements?   detailed info 

average 38%
Check Result
Is the buyers website consistent with central procurement registry? 46% (contracts)
Are there obvious flaws or inconsistencies within the data? 1.77 (average mistakes per contract)