Slovenia
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 issue of International Trade by Commodity Statistics contains the tables for six countries, published in the order in which they become available. The sixth volume contains the tables for the remaining four countries and OECD Total and EU28-Extra. Detailed tables relating to the Harmonised System HS 2012 classification, are published for Sections and Divisions (one- and two- digit).
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 pays restants et sur les deux groupements ; Total-OCDE et UE28-Extra. Les tableaux se réfèrent aux sections et divisions de la classification Système Harmonisé SH 2012, (une et deux positions).
Slovenia’s living standards measured in GDP per capita are currently some 20% below the EU15 average and have not yet reached their pre-crisis level. Given that most of this gap comes from differences in labour productivity, the paper looks at productivity trends and sources of productivity growth over past two decades. The largest labour productivity lags are in agriculture and mining and utilities, but lags are also present in services sectors such as information and communication activities, financial and insurance activities and professional services. The importance of the high and medium high technology manufacturing has risen in the last two decades, and their share in total manufacturing value added is relatively high in Slovenia. Growth accounting shows that total factor productivity (TFP) and physical capital were the main sources of economic growth before the crisis in Slovenia, while the contribution of human capital was low. With the crisis, however, the GDP growth turned highly negative due to large drops in TFP and the labour input contribution. The contribution from physical capital was also reduced, reflecting subdued investment activity. Slovenia has a high level of state control in the economy and low foreign direct investment (FDI). Using two different panel datasets – one spanning the OECD countries and another spanning Slovenia's economic activities - we find that improving both measures could significantly raise productivity.
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 contains data on regional innovation: R&D expenditures by sector, R&D personnel by sector, educational attainment of the labour force, enrollment by level of education, employment in high-technology sectors, patent applications, percentage of households with access to broadband with a geographic coverage of TL2. The data is compared in terms of million of current USD PPP or in terms of percentage of the population.
This dataset contains data on labour force by sex, employment at place of residence, employment by industry, unemployment, unemployment rate, long-term unemployment, youth employment, participation rate, business statistics, long-term unemployment incidence. Data are expressed in terms of percentages and persons.
This dataset contains regional data on population by age and sex, average population, regional surface, mobility and population density with a geographic coverage of TL3 which corresponds to the Territorial Level 3. The dataset is broken down into 3 set of variables which are population and area, population by age groups and lower level (Territorial Level 3) consisting of about 1709 micro-regions. The dataset is broken down into 3 set of variables which are population and area, population by age groups and mobility.
This dataset contains data on regional GDP, regional GDP per capita and regional gross value added by sector. Data are expressed in millions of national currency in current and constant prices and in millions of US$ in current and constant PPP. For the Euro area countries, the data in national currency for all years are calculated using the fixed conversion rates against the euro.
This dataset contains data on regional GDP, regional GDP per capita and regional gross value added by sector with a geographical coverage of TL3. Data are expressed in millions of national currency in current and constant prices and in millions of US$ in current and constant PPP. For the Euro area countries, the data in national currency for all years are calculated using the fixed conversion rates against the euro.
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.
Giving people better opportunities to participate actively in the labour market improves well-being. It also helps countries to cope with rapid population ageing by mobilising more fully each country’s potential labour resources. However, weak labour market attachment of some groups in society reflects a range of barriers to working or moving up the jobs ladder. This report on Slovenia is the second country study published in a series of reports looking into how activation policies can encourage greater labour market participation of all groups in society with a special focus on the most disadvantaged. Labour market and activation policies are well developed in Slovenia. However, the global financial crisis hit Slovenia hard and revealed some structural weaknesses in the system, which have contributed to a high level of long-term unemployment and low employment rates for some groups. This report on Slovenia therefore focuses on activation policies to improve labour market outcomes for four groups: long-term unemployed people; low-skilled workers; older workers; and workers who were made or are at risk of becoming displaced. There is room to improve policies through promoting longer working lives and through enabling the Employment Service and related institutions to help more harder-to-place jobseekers back into employment.
This dataset contains data on regional GDP, regional GDP per capita and regional gross value added by sector. Data are expressed in millions of national currency in current and constant prices and in millions of US$ in current and constant PPP. For the Euro area countries, the data in national currency for all years are calculated using the fixed conversion rates against the euro.
This dataset contains regional data on population by age and sex, average population, regional surface, mobility and population density with a geographic coverage of TL3 which corresponds to the Territorial Level 3. The dataset is broken down into 3 set of variables which are population and area, population by age groups and lower level (Territorial Level 3) consisting of about 1709 micro-regions. The dataset is broken down into 3 set of variables which are population and area, population by age groups and mobility.
This dataset contains data on regional GDP, regional GDP per capita and regional gross value added by sector with a geographical coverage of TL3. Data are expressed in millions of national currency in current and constant prices and in millions of US$ in current and constant PPP. For the Euro area countries, the data in national currency for all years are calculated using the fixed conversion rates against the euro.
This dataset contains data on labour force by sex, employment at place of residence, employment by industry, unemployment, unemployment rate, long-term unemployment, youth employment, participation rate, business statistics, long-term unemployment incidence. Data are expressed in terms of percentages and persons.
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 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.