African Tax Administration Paper 36

This paper assesses the accuracy and completeness of import and export data in the Uganda Revenue Authority’s ASYCUDA World system. It focuses on (1) identification details for importers/exporters, (2) consistency with value-added tax (VAT) and income tax returns, and (3) alignment with international databases.

Significant data quality gaps are found, especially in exports data and imports under simplified regimes and customs duty exemptions. Notably, export data, particularly under the single customs territory (the East Africa region), is of poor quality, with untraceable exporter details and inflated customs values, resulting in the values in the URA’s ASYCUDA World system being more than twice those reported internationally.

The quality of import data is generally sound, attributed to the scrutiny during the declaration and approval processes driven by customs duties. However, a notable decline is observed for tax-exempted imports, especially under simplified customs regimes and by exempted organisations, marked by increased misdeclaration and misclassification. Inconsistencies between the ASYCUDA World system data and those reported in VAT and income tax returns highlight the need for targeted efforts to improve accuracy in these specific import categories.

Authors

Jova Mayega

Jova Mayega has 14 years of experience in research and data management. He has worked with the Uganda Revenue Authority (URA) since 2013 and is currently in charge of statistics and policy analysis. Jova also served as a statistician at the Uganda Bureau of Statistics between 2010 and 2013 and as a data manager at BRAC Uganda from 2008 to 2010.

Ronald Waiswa

Ronald Waiswa is a Research and Policy Analysis Supervisor at the Uganda Revenue Authority. He has collaborated with the 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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