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Departmental Inquiries

Dáil Éireann Debate, Thursday - 11 December 2025

Thursday, 11 December 2025

Ceisteanna (380)

Ken O'Flynn

Ceist:

380. Deputy Ken O'Flynn asked the Minister for Enterprise, Tourism and Employment to provide Ireland’s full indicator-level scores under the Blavatnik Index of Public Administration for 2024, disaggregated by each theme and sub-domain, given that this information was not included in his previous reply; to confirm whether the National Competitiveness and Productivity Council has furnished these data to his Department; and to outline the process through which such datasets are collated and reviewed for policy and benchmarking purposes. [71081/25]

Amharc ar fhreagra

Freagraí scríofa

The National Competitiveness and Productivity Council (NCPC) has published a Competitiveness Bulletin examining the performance of Ireland’s public sector, informed by a new international benchmark– the Blavatnik Index of Public Administration.

This Index applies a newly-developed analytical framework drawing on 82 metrics across 17 data sources. As of 2024, the only year the Index has been produced for, Ireland ranks 24th out of 120 countries. The results highlight strong performance under HR Management (4th), Diversity and Inclusion (5th), and Tax Administration (3rd). The Index also suggested weaker outcomes under Digital Services (83rd), Procurement (77th), and Technology and Workplaces (108th) but as the NCPC's own analysis has shown, the rankings presented by this Index are limited by the use of outdated information and do not take cognisance of many recent Government of Ireland strategies and reforms.

The bulletin was published on Wednesday the 10th of December 2025, and can be accessed using the NCPC website: [www.competitiveness.ie].

The scores and rankings prepared as part of the Blavatnik Index are in the public domain and can be viewed at [www.index.bsg.ox.ac.uk]. On this website you will also find a detailed explanation of the methodologies employed to construct the index, including the data collation process.

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