Small cities • 2018 • past ranking

Město Vítkov

IČO 00300870

Good buyer. Buyer divides contracts into lots to foster participation of SME's Buyer does not avoid following procurement law.

2.
ranking
82%
zIndex

Bidder participation

Is the level of competition satisfactory?   detailed info 

60%
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)
CONTE spol. s r.o.
4 70,739,610
ENWOX ENERGY s.r.o.
3 42,227,460
Pražská plynárenská, a.s.
2 40,500,000
One Energy & One Mobile a.s.
2 40,500,000
CENTROPOL ENERGY, a.s.
2 40,500,000
Other suppliers 11 106,093,271

Pro-competitive tools

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

97%
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 371,413,476
Unregulated purchases -145,406,291
Total 226,007,184

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 

80%
average 77%

Journal data quality

Does buyer publish vital data in official journal?   detailed info 

93%
average 91%
Type of flaw Contracts count
Bidders count not published 0% (0 from 11)
Final or estimated price not published 36% (4 from 11)
Procedure type not published 0% (0 from 11)
Missing supplier ID 0% (0 from 11)
Missing buyer ID 9% (1 from 11)
Wrong buyer name 0% (0 from 11)
Call and award notices contradict each other 0% (0 from 11)
Missing call for tenders 9% (1 from 11)

Buyer profile data quality

Does the buyer profile fulfill the legal requirements?   detailed info 

30%
average 38%
Check Result
Is the buyers website consistent with central procurement registry? 70% (contracts)
Are there obvious flaws or inconsistencies within the data? 1.60 (average mistakes per contract)