Luxembourg
The Pensions at a Glance database includes reliable and internationally comparable statistics on public and mandatory and voluntary pensions. It covers 34 OECD countries and aims to cover all G20 countries. Pensions at a Glance reviews and analyses the pension measures enacted or legislated in OECD countries. It provides an in-depth review of the first layer of protection of the elderly, first-tier pensions across countries and provideds a comprehensive selection of pension policy indicators for all OECD and G20 countries.
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 paper presents and discusses the general findings and key policy messages of the 2019 OECD Open, Useful and Re-usable data (OURdata) Index, and provides a detailed analysis of the results for each pillar and sub-pillar. Additionally, it assesses the main advancements and challenges related to the design and implementation of open government data (OGD) policies in OECD member and partner countries by comparing the results for 2019 with those of the 2017 edition. This policy paper contributes to the OECD work on the digital transformation of the public sector, including digital government and data-driven public sector and open government data.
Housing prices have been growing strongly in Luxembourg, stoked by population growth, a high rate of household formation and limited use of land available for construction. Increases in price-to-income ratio mainly reflect high valuations of residential real estate, which rise faster than incomes, leading to increasing financial risks related to household indebtedness. Housing affordability has been deteriorating in particular for low-income households who do not profit from highly subsidised social housing. A mix of policies addressing supply-side restrictions, such as land hoarding and resistance to densification, together with policies to increase housing tenure neutrality and better targeted fiscal support will be needed to make the housing market more efficient and inclusive. Measures increasing the opportunity costs of unused land in urbanised areas and unoccupied dwellings could be combined with further reform of land-use planning, including measures involving municipalities in selectively increasing residential density in areas well-connected to the transport network. Housing tenure neutrality could be supported by removing or at least reducing mortgage interest deductibility and other fiscal instruments supporting homeownership and by developing the recurrent taxation of immovable property into a more important fiscal resource based on up-to-date real estate valuations. The supply of social rental housing should be stepped up and access to it made conditional on recurrent means testing ensuring better targeting to those most in need. Private rental sector could be expanded by relaxing the rules on renting parts of housing units and conversion of existing dwellings into rental housing.
This profile provides a concise and policy-relevant overview of health and the health system in Luxembourg as part of the broader series of the State of Health in the EU country profiles. It provides a short synthesis of: the health status in the country; the determinants of health, focussing on behavioural risk factors; the organisation of the health system; and the effectiveness, accessibility and resilience of the health system.
This profile is the joint work of the OECD and the European Observatory on Health Systems and Policies, in co-operation with the European Commission.
Cette base de données annuelles couvre un large éventail de statistiques sur le commerce international des pays de l'OCDE. Elle constitue une source fiable de données en valeur par produit et par pays partenaire. Chacun des quatre premiers volumes des Statistiques du commerce international par produit présente les statistiques relatives à six pays, celles-ci étant publiées dès réception des données. Le cinquième présente sept pays et le sixième volume porte sur les deux groupements de pays de l'OCDE ; OCDE Total et UE28-Extra.
Pour chaque pays sont présentés des tableaux se référant aux sections et divisions de la classification Système Harmonisé SH 2012 (une et deux positions). Chaque tableau permet de visualiser à la fois les importations et les exportations des cinq années les plus récentes par produit pour plus de soixante-dix pays partenaires ou groupes de pays partenaires.
This reliable source of yearly data covers a wide range of statistics on international trade of OECD countries and provides detailed data in value by commodity and by partner country. The first four volumes of International Trade by Commodity Statistics each contain the tables for six countries, published in the order in which they become available. The fifth contains seven countries and the sixth volume also includes the OECD country groupings OECD Total and EU28-Extra.
For each country, this publication shows detailed tables relating to the Harmonised System HS 2012 classification, Sections and Divisions (one- and two- digit). Each table presents imports and exports of a given commodity with more than seventy partner countries or country groupings for the most recent five-year period available.
Le Luxembourg est l’une des économies les plus prospères de l’OCDE. Toutefois, la prospérité et la qualité de la vie ne peuvent y être tenus pour acquis. La présente Étude est consacrée en priorité à trois grands défis auxquels le pays est confronté. Le premier concerne le logement : la forte hausse de la population conjuguée à des contraintes du côté de l’offre ont provoqué une augmentation considérable des prix, qui nuit à l’accessibilité et qui est source de vulnérabilités pour certains ménages et certaines banques. Il est indispensable de s’attaquer aux contraintes qui pèsent sur l’offre de logements et d’accroître l’offre de logements sociaux locatifs pour améliorer l’accessibilité. Le deuxième enjeu consiste à relancer la croissance de la productivité, ce qui nécessitera d’aider les entreprises loin de la frontière mais viables à opérer un rattrapage et d’encourager les entreprises à la frontière à innover encore davantage. Enfin, le troisième défi consiste à instaurer une croissance plus durable et inclusive. Il faudra pour cela, entre autres, engager des réformes budgétaires pour faire face à l’augmentation des dépenses de retraite et réorienter la fiscalité pour accroître le poids des recettes provenant des taxes environnementales et des impôts fonciers.
THÈME SPÉCIAL : LOGEMENT
Luxembourg is one of the most prosperous economies in the OECD. However, prosperity and quality of life cannot be taken for granted. This Survey focuses on three main challenges. The first concerns housing: strong population growth and supply constraints have made prices surge, which worsens affordability and creates vulnerabilities for some households and some banks. Tackling housing supply constraints and increasing the supply of social rental housing are key to improving housing affordability. The second challenge is reviving productivity growth, which will require supporting viable non-frontier firms to catch up and to help frontier firms to innovate more. The third challenge is to achieve a more sustainable and inclusive growth. This would require, among other measures, fiscal reforms to address rising pension expenditure and tilt revenues towards environmental and property taxation.
SPECIAL FEATURE: HOUSING
The Pensions at a Glance database includes reliable and internationally comparable statistics on public and mandatory and voluntary pensions. It covers 34 OECD countries and aims to cover all G20 countries. Pensions at a Glance reviews and analyses the pension measures enacted or legislated in OECD countries. It provides an in-depth review of the first layer of protection of the elderly, first-tier pensions across countries and provideds a comprehensive selection of pension policy indicators for all OECD and G20 countries.
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 reliable source of yearly data covers a wide range of statistics on international trade of OECD countries and provides detailed data in value by commodity and by partner country. Each of the first five volumes of International Trade by Commodity Statistics contains the tables for six countries, published in the order in which they become available. The sixth volume also includes the OECD country groupings OECD Total and EU28-Extra.
For each country, this publication shows detailed tables relating to the Harmonised System HS 2012 classification, Sections and Divisions (one- and two- digit). Each table presents imports and exports of a given commodity with more than seventy partner countries or country groupings for the most recent five-year period available.
Cette base de données annuelles couvre un large éventail de statistiques sur le commerce international des pays de l'OCDE. Elle constitue une source fiable de données en valeur par produit et par pays partenaire. Chacun des cinq premiers volumes des Statistiques du commerce international par produit présente les statistiques relatives à six pays, celles-ci étant publiées dès réception des données. Le sixième volume porte sur les deux groupements de pays de l'OCDE ; OCDE Total et UE28-Extra.
Pour chaque pays sont présentés des tableaux se référant aux sections et divisions de la classification Système Harmonisé SH 2012 (une et deux positions). Chaque tableau permet de visualiser à la fois les importations et les exportations des cinq années les plus récentes par produit pour plus de soixante-dix pays partenaires ou groupes de pays partenaires.
This dataset comprises statistics on different transactions and balances to get from the GDP to the net lending/borrowing. It includes national disposable income (gross and net), consumption of fixed capital as well as net savings. It also includes transaction components such as net current transfers and net capital transfers. Data are expressed in millions of national currency as well as US dollars and available in both current and constant prices. Data are provided from 1950 onwards.
Gross domestic product (GDP) is the standard measure of the value of final goods and services produced by a country during a period minus the value of imports. This subset of Aggregate National Accounts comprises comprehensive statistics on gross domestic product (GDP) by presenting the three different approaches of its measure of GDP: output based GDP, expenditure based GDP and income based GDP. These three different measures of gross domestic product (GDP) are further detailed by transactions whereby: the output approach includes gross value added at basic prices, taxes less subsidies, statistical discrepancy; the expenditure approach includes domestic demand, gross capital formation, external balance of goods and services; and the income approach includes variables such as compensation of employees, gross operating surplus, taxes and production and imports. Gross domestic product (GDP) data are measured in national currency and are available in current prices, constant prices and per capita starting from 1950 onwards.
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.