The International Monetary Fund’s (IMF’s) Statistics Department (STA) and Fiscal Affairs Department (FAD) provided technical assistance (TA) on government finance statistics (GFS) and public sector debt statistics (PSDS) to the Ministry of Finance (MOF) of the Arab Republic of Egypt during July 4–17, 2023. This was the first such mission since 2017 and the focus was on assisting the Egyptian MOF to identify the necessary processes and systems required to facilitate the production of high-quality fiscal statistics, compliant with the latest international statistical standards (as per the Government Finance Statistics Manual 2014) both with respect to coverage and presentation.

This technical assistance (TA) report on government finance statistics (GFS) covers the remote TA to the Ministry of Finance (MOF) during September 21–October 2 and December 14–18, 2020 and March 9–13 and April 19–23, 2021 (which was extended to May 2021). These peripatetic activities were conducted remotely due to the travel restrictions resulting from the COVID-19 situation. This report documents the main achievements from these activities. These activities were part of the GFS and Public Sector Debt Statistics (PSDS) project funded by the Government of Japan (JSA3) and implemented by the IMF Statistics Department (STA) and the IMF Capacity Development Office in Thailand (CDOT).

In response to a request from the European Department, a Public-Sector Debt Statistics (PSDS) technical assistance (TA) mission was conducted in Chisinau during April 2–6, 2018. With the objective of improving Moldovan public sector debt statistics, the mission conducted an evaluation of data comprehensiveness in terms of: (i) institutional coverage; (ii) instrument coverage, including maturity structures; (iii) valuation of debt liabilities; and; (iv) additional fiscal risks resulting from contingent liabilities (on-lending and guarantees). Like the recent article IV mission1 and Public Finance Management (PFM) assessment,2 the mission found that Moldova continues to improve their recording, compilation and dissemination of public sector debt statistics reflecting potential fiscal risks, but faces five main statistical challenges going forward.

A technical assistance (TA) mission on Government Finance Statistics (GFS) and Public Sector Debt Statistics (PSDS) visited the city of Praia, Republic of Cabo Verde, from July 22 to August 2, 2019, with the aim of putting more and better-quality fiscal data —particularly on PSDS — in the hands of public decision makers. The mission was funded by the Data for Decisions (D4D) fund under module 1 on fiscal data including debt.

A technical assistance (TA) mission on Government Finance Statistics (GFS) and Public Sector Debt Statistics (PSDS) visited the city of Praia, Republic of Cabo Verde, from July 22 to August 2, 2019, with the aim of putting more and better-quality fiscal data —particularly on PSDS — in the hands of public decision makers. The mission was funded by the Data for Decisions (D4D) fund under module 1 on fiscal data including debt.

This technical assistance (TA) mission on Public Sector Debt Statistics (PSDS) was conducted during October 19-30, 2020. The main purpose of the mission was to review the progress made by the authorities in implementing previous TA recommendations and provide further support to strengthen the compilation and dissemination of GFS in line with international standards set out in the Government Finance Statistics Manual 2014 (GFSM 2014).

This Technical Assistance Report discusses technical advice and recommendations given by the IMF mission to the authorities of Uganda regarding compilation and dissemination of government finance statistics and public sector debt statistics according to international standards. Automation of the collection of source data for extra-budgetary units and local governments is recommended, first through the use of data collection templates and second through incorporation of these institutional units into the Integrated Financial Management and Information System. Historical data on the stock of arrears and related repayments should also be provided to enable assessment of progress on reducing and clearing arrears.