1887

Hong Kong, China

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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 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.

Being able to swim empowers individuals to make choices, have agency, and be free to choose core aspects of their life, such as working safely on or near water. It is also associated with lifelong health benefits and reduces the risk of drowning. Using data from the Lloyd’s Register Foundation World Risk Poll 2019, this paper provides the first global estimates of adults’ ability to swim without assistance. Individuals in high-income countries are considerably more likely to report being able to swim without assistance than individuals in low-income countries. Disparities also exist within countries. In particular, women are less likely to be able to swim without assistance than men in virtually all countries, birth cohorts, and levels of education. Investing in reducing inequalities in life skills, such as swimming, can foster economic development and empowerment, especially in light of threats, such as climate change.

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 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.

Under Action 14, countries have committed to implement a minimum standard to strengthen the effectiveness and efficiency of the mutual agreement procedure (MAP). The MAP is included in Article 25 of the OECD Model Tax Convention and commits countries to endeavour to resolve disputes related to the interpretation and application of tax treaties. The Action 14 Minimum Standard has been translated into specific terms of reference and a methodology for the peer review and monitoring process. The peer review process is conducted in two stages. Stage 1 assesses countries against the terms of reference of the minimum standard according to an agreed schedule of review. Stage 2 focuses on monitoring the follow-up of any recommendations resulting from jurisdictions' stage 1 peer review report. This report reflects the outcome of the stage 2 peer monitoring of the implementation of the Action 14 Minimum Standard by Hong Kong, China.

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.

Under Action 14, countries have committed to implement a minimum standard to strengthen the effectiveness and efficiency of the mutual agreement procedure (MAP). The MAP is included in Article 25 of the OECD Model Tax Convention and commits countries to endeavour to resolve disputes related to the interpretation and application of tax treaties. The Action 14 Minimum Standard has been translated into specific terms of reference and a methodology for the peer review and monitoring process. The minimum standard is complemented by a set of best practices.

The peer review process is conducted in two stages. Stage 1 assesses countries against the terms of reference of the minimum standard according to an agreed schedule of review. Stage 2 focuses on monitoring the follow-up of any recommendations resulting from jurisdictions' stage 1 peer review report. This report reflects the outcome of the stage 1 peer review of the implementation of the Action 14 Minimum Standard by Hong Kong, China.

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 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 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 report contains the “Phase 2: Implementation of the Standards in Practice” review, as well as revised version of the “Phase 1: Legal and Regulatory Framework review” already released for Hong Kong, China.

The Global Forum on Transparency and Exchange of Information for Tax Purposes is the multilateral framework within which work in the area of tax transparency and exchange of information is carried out by 120 jurisdictions, which participate in the Global Forum on an equal footing. The Global Forum is charged with in-depth monitoring and peer review of the implementation of the international standards of transparency and exchange of information for tax purposes. These standards are primarily reflected in the 2002 OECD Model Agreement on Exchange of Information on Tax Matters and its commentary, and in Article 26 of the OECD Model Tax Convention on Income and on Capital and its commentary as updated in 2004. The standards have also been incorporated into the UN Model Tax Convention.

The standards provide for international exchange on request of foreseeably relevant information for the administration or enforcement of the domestic tax laws of a requesting party. Fishing expeditions are not authorised but all foreseeably relevant information must be provided, including bank information and information held by fiduciaries, regardless of the existence of a domestic tax interest or the application of a dual criminality standard.

All members of the Global Forum, as well as jurisdictions identified by the Global Forum as relevant to its work, are being reviewed. This process is undertaken in two phases. Phase 1 reviews assess the quality of a jurisdiction’s legal and regulatory framework for the exchange of information, while Phase 2 reviews look at the practical implementation of that framework. Some Global Forum members are undergoing combined – Phase 1 and Phase 2 – reviews. The Global Forum has also put in place a process for supplementary reports to follow-up on recommendations, as well as for the ongoing monitoring of jurisdictions following the conclusion of a review. The ultimate goal is to help jurisdictions to effectively implement the international standards of transparency and exchange of information for tax purposes.

All review reports are published once approved by the Global Forum and they thus represent agreed Global Forum reports.

 

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.
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