Palau has emerged from the pandemic with significant output loss, elevated public debt and historically high inflation. Adverse demographic trends, high dependence on tourism and external support, and vulnerability to climate change risks raise vulnerabilities. The authorities successfully enacted a fiscal responsibility framework and modernized the tax system. A new Compact Review Agreement (CRA-23), with better financial terms, is awaiting approval by US Congress.

The COVID-19 pandemic and related containment measures have severely impacted the economy. Border closure and the suspension of commercial flights curtailed tourist arrivals. Real GDP contracted by 9.7 percent in FY2020, notwithstanding policy support. The economic contraction is estimated to have deepened in FY2021, and a gradual recovery is expected in FY2022 as tourism activities resume. While Palau’s public debt remains sustainable, the economic fallout of the pandemic and the cost of the fiscal response have led to a sharp deterioration of the fiscal position and a rapid increase in public debt. The high share of concessional loans from multilateral creditors in Palau’s external debt is an important risk mitigating factor. Palau is vulnerable to climate change and natural disasters.

The FAO Yearbook of Fishery and Aquaculture Statistics, prepared by the Statistics Team of the FAO Fisheries and Aquaculture Division, offers a synthesis of the major trends in the fisheries and aquaculture sector. Statistics are presented in eight main thematic chapters, covering statistics of production (total, aquaculture, capture fisheries), employment, fleet, consumption and trade, together with a section with selected tables and an Annex including notes, concepts, classifications and a map of FAO major fishing areas. The Yearbook is meant to constitute a primary tool for policymakers, researchers and analysts, as well as for the general public interested in the past and current paths of the sector.

The Direction of Trade Statistics yearbook gives seven years of data for about 184 countries and two sets of world and area summaries: world and area trade as seen by the reporting countries and as seen by the partner countries to those transactions. The yearbook is usually published in September.

This paper discusses that shipments to and from free-trade zones and bonded warehouses, exclusion of military and other confidential items and government goods, value thresholds for customs registration of shipments, returned goods, and other goods missed by customs (or surveys) are examples of coverage differences that can result in inconsistencies. As a result of reporting and processing lags, trade data for a given period are often released before all customs documents for the period have been processed. These data are sometimes not revised, or, if data are revised, errors are nevertheless made in assigning the date on which goods are shipped or received and the late data are assigned to the wrong month, quarter, and/or year. Errors can also be made in assigning a destination to exports and an origin to imports during customs clearances, or in cases when the ultimate destination is changed after the initial consignment during transshipment, the change is not incorporated into published statistics via the release of revised data.

This 2018 yearbook issue of International Financial Statistics (IFS) is a standard source of statistics on all aspects of international and domestic finance. The IMF publishes calculated effective exchange rates data only for countries that have given their approval. The country, euro area, and world tables provide measures of effective exchange rates, compiled by the IMF’s Research Department, Statistics Department, and area departments. The real effective exchange rate index in line rec is derived from the nominal effective exchange rate index, adjusted for relative changes in consumer prices. Consumer price indices, often available monthly, are used as a measure of domestic costs and prices for these countries.

This paper discusses those countries that have never reported data by trade partners to the IMF or to the United Nations COMTRADE, estimates are obtained by using directly the corresponding bilateral flow reported by counterpart countries. For example, if country B has never reported trade statistics with a geographical breakdown, but country A has reported imports from country B, then A’s data for imports are used to estimate B’s exports. Because imports are valued on a cost, insurance, and freight (CIF) basis and exports on a free on board (FOB) basis, the data are adjusted for the cost of freight and insurance. A CIF/FOB factor of 1.06 is currently used. Reported imports CIF are divided by 1.06 (i.e., the CIF/FOB factor) to give partner country estimates of exports FOB. Similarly, reported exports FOB are multiplied by 1.06 to give partner country imports CIF.