Small cities • 2018 • past ranking

Město Fulnek

IČO 00297861

Good buyer. Buyer does not avoid following procurement law. Buyer profile lacks mandatory machine readability.

11.
ranking
78%
zIndex

Bidder participation

Is the level of competition satisfactory?   detailed info 

57%
average 49%

Winner concentration

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

77%
average 55%
Largest suppliers Contracts count Contracts volume Kč
Pražská plynárenská, a.s.
4 33,469,797
BYSTROŇ Group a.s.
1 26,466,951
CONTE spol. s r.o.
2 19,577,778
ENWOX ENERGY s.r.o.
2 19,577,778
CENTROPOL ENERGY, a.s.
2 19,577,778
Other suppliers 13 57,855,630

Pro-competitive tools

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

87%
average 59%

Public procurement share on total purchases

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

100%
average 66%
Purchases Volume (Kč)
Public procurement 256,370,787
Unregulated purchases -30,995,560
Total 225,375,228

Competitive contracting

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

100%
average 91%
No contracts in negotiated procedure without publication.

Consistent conduct

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

83%
average 77%

Journal data quality

Does buyer publish vital data in official journal?   detailed info 

94%
average 91%
Type of flaw Contracts count
Bidders count not published 0% (0 from 11)
Final or estimated price not published 18% (2 from 11)
Procedure type not published 0% (0 from 11)
Missing supplier ID 0% (0 from 11)
Missing buyer ID 0% (0 from 11)
Wrong buyer name 0% (0 from 11)
Call and award notices contradict each other 0% (0 from 11)
Missing call for tenders 18% (2 from 11)

Buyer profile data quality

Does the buyer profile fulfill the legal requirements?   detailed info 

8%
average 38%
Check Result
Is the buyers website consistent with central procurement registry? 40% (contracts)
Are there obvious flaws or inconsistencies within the data? 1.30 (average mistakes per contract)