Small cities • 2018 • past ranking

Město Nýrsko

IČO 00255921

Data on buyer profile have relatively good quality. Considerable volume of contracts goes only to few firms.

Bidder participation

Is the level of competition satisfactory?   detailed info 

34%
average 49%
Largest contracts
Industry
Bids
Bytový dům pro seniory
Výstavba domů
1
Ø4 in industry
Rekonstrukce koupaliště Nýrsko
Výstavba jednoúčelových sportovních zařízení
8
Ø3 in industry
Revitalizace KD Nýrsko
Stavební práce
6
Ø5 in industry
Poskytnutí investičního úvěru na financování investičních akcí města Nýrska v letech 2016-2018
Poskytování úvěrů
2
Ø2 in industry

Winner concentration

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

5%
average 55%
Largest suppliers Contracts count Contracts volume (Kč)
Lesní stavby, s.r.o.
2 57,996,662
MIRAS - stavitelství a sanace s.r.o.
1 4,943,471
Česká spořitelna, a.s.
1 2,983,606

Public procurement share on total purchases

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

53%
average 66%
Purchases Volume (Kč)
Public procurement 94,019,687
Unregulated purchases 241,577,002
Total 335,596,690

Competitive contracting

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

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

Journal data quality

Does buyer publish vital data in official journal?   detailed info 

82%
average 91%
Type of flaw Contracts count
Bidders count not published 0% (0 from 8)
Final or estimated price not published 50% (4 from 8)
Procedure type not published 0% (0 from 8)
Missing supplier ID 0% (0 from 8)
Missing buyer ID 0% (0 from 8)
Wrong buyer name 0% (0 from 8)
Call and award notices contradict each other 0% (0 from 8)
Missing call for tenders 0% (0 from 8)

Buyer profile data quality

Does the buyer profile fulfill the legal requirements?   detailed info 

100%
average 38%
Check Result
Is the buyers website consistent with central procurement registry? 100% (contracts)
Are there obvious flaws or inconsistencies within the data? 0.00 (average mistakes per contract)