City parts • 2018 • past ranking

Městská část Praha 12

IČO 00231151

Buyer profile lacks mandatory machine readability. Buyer divides contracts into lots to foster participation of SME's

Bidder participation

Is the level of competition satisfactory?   detailed info 

28%
average 42%
Largest contracts
Industry
Bids
Nová radnice
Výstavba administrativních budov
5
Ø7 in industry
Přístavba mateřské školy pro ZŠ a MŠ Angel v Praze 12
Stavební práce
4
Ø5 in industry
Rekonstrukce bývalé školní družiny v ul. K Dolům č.p. 216
Stavební práce
8
Ø5 in industry
Rekonstrukce a odvodnění komunikace v ul. Nad Zavážkou a části ul. Kolářova
Stavební práce
6
Ø5 in industry
Rekonstrukce školní kuchyně v ZŠ T.G.M V Praze 12
Stavební práce
8
Ø5 in industry

Winner concentration

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

41%
average 63%
Largest suppliers Contracts count Contracts volume (Kč)
KLEMENT a.s.
1 218,851,769
GEOSAN GROUP a.s.
1 218,851,769
ZENOVA services s.r.o.
7 13,848,175
WAREX spol. s r.o.
1 12,989,800
HLZ a.s.
1 8,316,985
Other suppliers 7 42,751,189

Competitive contracting

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

94%
average 88%
Contract
Reason for negotiated procedure without publication
Price (Kč)
"Dodávka hardware, software a implementace"
Previous tender without bids
7,302,120

Journal data quality

Does buyer publish vital data in official journal?   detailed info 

95%
average 89%
Type of flaw Contracts count
Bidders count not published 0% (0 from 14)
Final or estimated price not published 0% (0 from 14)
Procedure type not published 0% (0 from 14)
Missing supplier ID 0% (0 from 14)
Missing buyer ID 0% (0 from 14)
Wrong buyer name 0% (0 from 14)
Call and award notices contradict each other 0% (0 from 14)
Missing call for tenders 29% (4 from 14)

Buyer profile data quality

Does the buyer profile fulfill the legal requirements?   detailed info 

0%
average 33%
Check Result
Is the buyers website consistent with central procurement registry? 0% (contracts)
Are there obvious flaws or inconsistencies within the data? 1.00 (average mistakes per contract)