In many African countries, limited population data pose a challenge for tax administrations struggling with informal economies. This study examines Uganda’s integration of national ID data into tax registration through “Instant TIN,” an interface linking the Uganda Revenue Authority (URA) with the National Identification and Registration Agency (NIRA) and the Uganda Registration Service Bureau (URSB). This reform aims to streamline taxpayer registration and improve data quality. Using a mixed-methods approach—combining interviews with government officials and administrative data analysis—we identify three key findings. First, Instant TIN registrants differ significantly from those using the conventional process. They are more likely to be individuals, female, younger, and previously informal, highlighting the reform’s role in bringing in marginalised taxpayers. Second, Instant TIN improves data quality. It reduces TIN duplications for individuals and enhances contact accuracy, decreasing invalid or missing email addresses by eight percentage points and invalid phone numbers by six. However, it worsens sector data quality, increasing missing or incorrect sector information by 12 percentage points. Third, while Instant TIN reduces duplication, manual data entry, and administrative burdens, challenges remain. Infrequent updates in external datasets and a lack of validation within the interface increase administrative costs and complicate taxpayer engagement. Additionally, mandatory in-person updates and invalid contact details add to compliance burdens. Overall, Uganda’s experience highlights both the potential and limitations of integrating national ID data for tax administration, offering insights for other countries considering similar reforms.

Authors

Celeste Scarpini

Celeste Scarpini is a Research Officer at the ICTD, and a PhD student at the Department of Economics, University of Sussex. Her main research interests relate to tax administration in sub-Saharan Africa, from technology adoption to data management and revenue collection strategies.

Fabrizio Santoro

Fabrizio Santoro is a Research Fellow at the Institute of Development Studies, and is the co-lead for our programme of work on Digital Public Infrastructure (DPI). Previously, he was Research Lead for the second component of the ICTD's DIGITAX Research Programme. His main research interests relate to governance, public finance, and taxation, with a strong focus on impact evaluation methodologies and statistical analysis. He holds a PhD in Economics from the University of Sussex.

Moyo Arewa

Moyo is the Programme Director for the Local Government Revenue Initiative (LoGRI). He was previously the Manager for Strategic Initiatives at (ICTD) and, before then, a Policy Development Officer at the City of Toronto. His tax research has focused on understanding how new technologies impact tax policy, administration, and public service delivery.

Ronald Waiswa

Ronald Waiswa is an Applied Research and Statistics Specialist at the African Tax Administration Forum (ATAF). Previously, he was a Research and Policy Analysis Supervisor at the Uganda Revenue Authority. He has collaborated with ICTD on a number of research projects in Uganda on issues including taxing wealthy individuals and public sector agencies.

Jane Nabuyondo

Jane Nabuyondo is a supervisor for Business Intelligence with 15 years of experience in tax administration and vast knowledge of government (public) operations. She is also the team lead in development and maintenance of the URA Data Warehouse/Business Intelligence solution, including overseeing the implementation of data governance initiatives in URA that will support the organisation to become a data driven entity.
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