Jamaica

This dataset comprises statistics pertaining to pensions indicators.It includes indicators such as occupational pension funds’asset as a % of GDP, personal pension funds’ asset as a % of GDP, DC pension plans’assets as a % of total assets. Pension fund and plan types are classified according to the OECD classification. Three dimensions cover this classification: pension plan type, definition type and contract type.

This dataset comprises statistics pertaining to pensions indicators.It includes indicators such as occupational pension funds’asset as a % of GDP, personal pension funds’ asset as a % of GDP, DC pension plans’assets as a % of total assets. Pension fund and plan types are classified according to the OECD classification. Three dimensions cover this classification: pension plan type, definition type and contract type.

This dataset comprises statistics pertaining to pensions indicators.It includes indicators such as occupational pension funds’asset as a % of GDP, personal pension funds’ asset as a % of GDP, DC pension plans’assets as a % of total assets. Pension fund and plan types are classified according to the OECD classification. Three dimensions cover this classification: pension plan type, definition type and contract type.

This dataset includes pension funds statistics with OECD classifications by type of pension plans and by type of pension funds. All types of plans are included (occupational and personal, mandatory and voluntary). The OECD classification considers both funded and book reserved pension plans that are workplace-based (occupational pension plans) or accessed directly in retail markets (personal pension plans). Both mandatory and voluntary arrangements are included. The data includes plans where benefits are paid by a private sector entity (classified as private pension plans by the OECD) as well as those paid by a funded public sector entity. Data are presented in various measures depending on the variable: millions of national currency, millions of USD, thousands or unit.

This dataset includes pension funds statistics with OECD classifications by type of pension plans and by type of pension funds. All types of plans are included (occupational and personal, mandatory and voluntary). The OECD classification considers both funded and book reserved pension plans that are workplace-based (occupational pension plans) or accessed directly in retail markets (personal pension plans). Both mandatory and voluntary arrangements are included. The data includes plans where benefits are paid by a private sector entity (classified as private pension plans by the OECD) as well as those paid by a funded public sector entity. Data are presented in various measures depending on the variable: millions of national currency, millions of USD, thousands or unit.

This dataset includes pension funds statistics with OECD classifications by type of pension plans and by type of pension funds. All types of plans are included (occupational and personal, mandatory and voluntary). The OECD classification considers both funded and book reserved pension plans that are workplace-based (occupational pension plans) or accessed directly in retail markets (personal pension plans). Both mandatory and voluntary arrangements are included. The data includes plans where benefits are paid by a private sector entity (classified as private pension plans by the OECD) as well as those paid by a funded public sector entity. Data are presented in various measures depending on the variable: millions of national currency, millions of USD, thousands or unit.

Small island developing states (SIDS) have been acutely affected by the economic impacts of the COVID-19 pandemic. This paper takes a broader perspective to explore how the revenue effects of this crisis in SIDS are connected to their unique financing and development challenges. It also suggests how SIDS governments and development co-operation providers can better partner together to strengthen mobilisation of domestic revenues – in particular tax revenues – in the recovery post-COVID-19.

This report compiles comparable tax revenue statistics over the period 1990-2018 for 26 Latin American and Caribbean economies. Based on the OECD Revenue Statistics database, it applies the OECD methodology to countries in Latin America and the Caribbean to enable comparison of tax levels and tax structures on a consistent basis, both among the economies of the region and with other economies. This publication is jointly undertaken by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the Inter-American Center of Tax Administrations (CIAT), the Economic Commission for Latin America and the Caribbean (ECLAC) and the Inter-American Development Bank (IDB). The 2020 edition is produced with the support of the EU Regional Facility for Development in Transition for Latin America and the Caribbean, which results from joint work led by the European Union, the OECD and its Development Centre, and ECLAC.

This report compiles comparable tax revenue statistics over the period 1990-2019 for 27 Latin American and Caribbean economies. Based on the OECD Revenue Statistics database, it applies the OECD methodology to countries in Latin America and the Caribbean to enable comparison of tax levels and tax structures on a consistent basis, both among the economies of the region and with other economies. This publication is jointly undertaken by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the Inter-American Center of Tax Administrations (CIAT), the Economic Commission for Latin America and the Caribbean (ECLAC) and the Inter-American Development Bank (IDB). The 2021 edition is produced with the support of the EU Regional Facility for Development in Transition for Latin America and the Caribbean, which results from joint work led by the European Union, the OECD and its Development Centre, and ECLAC.