"When you can measure what you are speaking about, and express it in numbers, you know something about it; but when you cannot express it in numbers, your knowledge is of a meagre and unsatisfactory kind; it may be the beginning of knowledge, but you have scarcely, in your thoughts, advanced to the stage of science, whatever the matter may be."
Lord Kelvin

Reports

The New Trends of Corruption Risk in Hungarian Public Procurement from January 1998 to September 2025

 

February 5, 2026

 

CRCB Statistical Flash Report 2026:1

 

Analyzed contracts (CSV)

Analyzed contracts with EU, CR, TOP13, and NCV_MRD variables (CSV)

 

Suggested citation:
CRCB. (2026). The New Trends of Corruption Risk in Hungarian Public Procurement from January 1998 to September 2025. CRCB. https://www.crcb.eu/wp-content/uploads/2026/02/2026_crcb_statistical_flash_report_en_01_050226_03.pdf

 

 

In the first version of its article describing our research, the Hungarian news portal, 444.hu, incorrectly stated that the CRCB’s flash report dealt with the risk of corruption in public procurement conducted by the National Media and Infocommunications Authority read more

The New Trends of Corruption Risk in Hungarian Public Procurement from January 1998 to July 2023

 

October 17, 2023

In 2023, the risk of corruption increased for public contracts awarded to crony companies, while it decreased for those awarded to ordinary Hungarian companies with no political ties. This suggests that, following the EU’s measures to restore the rule of law in Hungary, the advantage of crony companies in the Hungarian public procurement market actually increased. They have won public contracts with a higher risk of corruption than before the measures were taken.

The corruption risk of tenders won by read more

Fourteen Graphs and Two Tables on the New Trends of Corruption Risk in the Hungarian Public Procurement 2005-2022

 

February 7, 2023

 

This CRCB Report presents trends in corruption risk in Hungarian public procurement from 2005 to 2022, using 14 graphs and 2 tables. The report includes information from a contract-level dataset covering full-year 2022 data. The CRCB’s aim with this report is to inform EU taxpayers (especially Hungarian ones) within T+45 days about corruption risk trends in Hungary in read more

Tompítás, elkenés, elbizonytalanítás és manipuláció

 

December 13, 2022

 

Tompítás, elkenés, elbizonytalanítás és manipuláció
Az ukrajnai orosz agresszióról hírt adó, a háború első 15 napjában megjelent cikkek tartalomelemzése négy magyar hírportál és a BBC cikkei alapján

Mitigation, Whitewashing, Obfuscation, and Manipulation. Content analysis of articles on the Russian aggression in Ukraine during the first 15 days of the war, based on publications of four Hungarian news portals and the BBC

 

Tanulmány / The paper in Hungarian with English Summary (pdf)

Summary in English (pdf)

Adattábla (hírportálok): az elemzett cikkek/hírek listája (zip)
Adattábla (HM): az elemzett hírek listája és a do file (zip)

 

Ajánlott hivatkozás / Suggested citation:

Tóth I. J. és Varga J. 2022. Tompítás, read more

Corruption, Institutions and Convergence. Empirical Analysis of Public Tenders of the Old and New EU Member States and Three Developing Countries

 
December 13, 2019
 
Tóth, István János – Hajdu, Miklós. 2019. Corruption, Institutions and Convergence. Empirical Analysis of Public Tenders of the Old and New EU Member States and Three Developing Countries. Budapest: CRCB.

Abstract

This paper focuses on the measurement of institutional convergence in the new EU member states and four Southern European EU member countries. Previous studies have used perception data or expert surveys at the country level to quantify institutional convergence. We present a new method that is based on hard micro-level data. Our approach focuses on read more

Transparency and Integrity: The Online Presence of Hungarian Municipalities. Analysis of urban municipalities’ websites in Hungary – 2018

 

March 11,  2019

 

Transparency and Integrity: The Online Presence of Hungarian Municipalities. Analysis of urban municipalities’ websites in Hungary – 2018

Results of a joint research program with Budapest Institute

The transparency of the operation of the local governments and the follow-up of their decision-making process by the citizens are very important to achieve good governance. It is vital that citizens should easily access the data concerning the decisions made by their local read more

Cronyism in Hungary. Empirical analysis of public tenders 2010-2016

 

September 17, 2018

 

In this paper, we use a public procurement database containing data on more than 230,000 public tenders from 1997 to 2017. The analysis is based on data from 126,330 public procurement contracts from 2010 to 2016. The research was supported by the Hungarian National Scientific Fund (OTKA, K116860).   The focus of the analysis is public tenders (without framework agreements) awarded to companies associated with cronies and family members of Hungarian Prime Minister Viktor read more

Data publication practices of public procurement authorities around the world – 2018

 

November 8, 2018

 

The report deals with the results of 2018 CRCB’s survey which focused on the data publication practices of 118 public procurement authorities around the world based on an empirical analysis of their websites. We analyse two main questions: (i) how easily accessible the data of public tenders at contract level are in the analysed websites; (ii) which pieces of information in contract level are accessible in structured and downloaded format. The report describes read more

Missing Data, Intensity of Competition and Corruption Risks

 

October 18, 2018

 

Missing Data, Intensity of Competition and Corruption Risks.
Analysis of Contract Award Notices of Hungarian Public Procurement Published from January 2005 to August 2018. Flash Report 2018:1, CRCB, Budapest, October 2018.

 

Flash Report 2018:1
Tables & Figures (pdf, xlsx)

List of 268,404 analysed contract award notices, with url, date, issuer’s name and filter variable read more