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Operationalising the UNODC Statistical Framework to Measure Corruption

Interview series on corruption measurement initiatives at the national level

The UNODC Statistical Framework to Measure Corruption provides countries with a nationally adaptable approach to generating reliable corruption data. In this interview, Byron Villacis Cruz, Faryal Ahmed, and Salomé Flores explain how countries can turn the statistical framework into practical, nationally owned systems by building institutional coordination, selecting policy-relevant indicators, and using statistics to identify risks, monitor reforms, and inform anti-corruption policies.

23 September 2026
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Operationalising the UNODC Statistical Framework to Measure Corruption

Main points

  • The UNODC Statistical Framework provides countries with a flexible menu of indicators that can be adapted to national priorities, capacities, and data sources.
  • Effective corruption measurement requires close coordination between national statistical offices, anti-corruption agencies, and other data-producing institutions.
  • Countries should begin with a small set of feasible, policy-relevant indicators, treating them as entry points to a broader measurement system.
  • Corruption statistics should inform the full policy cycle – from identifying risks and bottlenecks to monitoring reforms and evaluating results.

Cite this publication


Schütte, S.; Villacis Cruz, B.; Ahmed, F.; Flores, S. 2026. Operationalising the UNODC Statistical Framework to Measure Corruption. Interview series on corruption measurement initiatives at the national level. Bergen: U4 Anti-Corruption Resource Centre, Chr. Michelsen Institute (U4 Practitioner Experience Note 2026:1)

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About the authors

Dr. Sofie Arjon Schütte leads U4’s thematic work on the justice sector – including anti-corruption agencies and courts – and evaluation and measurement. Previously, she worked for the Partnership for Governance Reform in Indonesia and the Indonesian Corruption Eradication Commission and has conducted workshops and short-term assignments on corruption in more than 15 countries.

Byron Villacis Cruz

Byron Villacis Cruz is a Professor at the University of Oregon whose research examines how quantification, expertise, and power shape the production and use of corruption and anti-corruption knowledge. He is currently a consultant for the UN Statistical Division, where he works in collaboration with the UNODC with countries to operationalise the statistical framework and strengthen corruption-related statistics under the Data for Now initiative. Previously, he served as head of Ecuador’s National Institute of Statistics and Censuses, leading the 2010 Census and more than 35 national official surveys, and has advised statistical offices in Latin America and Africa.

Faryal Ahmed

Faryal Ahmed is a Statistician who leads the Data for Now initiative at the UN Statistics Division, driving efforts to strengthen national statistical systems and close critical data gaps across sectors such as environment, governance, crime, urban development, and food security.

Salomé Flores

Salomé Flores is the Head of the UNODC Information Centre for researching and analysing transnational threats related to drugs and crime, based in Tashkent, Uzbekistan.

Disclaimer


All views in this text are the author(s)’, and may differ from the U4 partner agencies’ policies.

This work is licenced under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International licence (CC BY-NC-ND 4.0)

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