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  • Monarch:Felipe VI
  • 首相:Pedro Sánchez
  • 首都:Madrid
  • 言語:Castilian Spanish (official nationwide) 74%, Catalan (official in Catalonia, the Balearic Islands, and the Valencian Community (where it is known as Valencian)) 17%, Galician (official in Galicia) 7%, Basque (official in the Basque Country and in the Basque-speaking area of Navarre) 2%, Aranese (official in the northwest corner of Catalonia (Vall d'Aran) along with Catalan; <5,000 speakers) note: Aragonese, Aranese Asturian, Basque, Calo, Catalan, Galician, and Valencian are recognized as regional languages under the European Charter for Regional or Minority Languages
  • 政府
  • 統計局
  • 人口、人:46,723,749 (2018)
  • 面積、平方キロメートル:499,564
  • 1人当たりGDP、US $:30,524 (2018)
  • GDP、現在の10億米ドル:1,426.2 (2018)
  • GINI指数:No data
  • ビジネスのしやすさランク:30

Pensions

すべてのデータセット:  A E F G M N O P S
  • A
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 26 7月, 2019
      データセットを選択
      The supplementary table on accrued-to-date  pension entitlements in social insurance (pensions in National Accounts) is compiled in accordance with the European System of Accounts (ESA 2010) and is transmitted by EU Member States, EEA Members (Norway, Iceland) and Switzerland following the ESA2010 transmission programme (Table 29) established by the Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013 on the European system of national and regional accounts in the European Union, annexes A and B respectively). By introducing this table, ESA 2010 added enhanced reporting on pensions, covering both entitlements of pension schemes recorded in the core national accounts, and unfunded "pay-as-you-go" pension schemes managed by general government. The latters' entitlements are excluded from the core national accounts and are considered as contingent liabilities. However, full coverage of all pension schemes in one table provides a complete overview of organisation of pension social insurance in a given country and enhances cross-country analysis of pension entitlements of households. At the same time, it should be stressed that accrued-to-date pension entitlements in social insurance are not a measure of the sustainability of public finances and not part of government debt. The European reporting system on age-related expenditure is multifaceted. National accountants focus in this dataset on already earned (accrued-to-date) pension entitlements of current persons employed and current pensioners, whereas the Economic Policy Committee (EPC) is analysing the impact of ageing on European societies from a wider angle. The EPC'S Ageing Report includes estimates for pension entitlements (and related contributions) being accrued in the future. Data are presented by means of two tables: 1.  "Accrued-to-date pension entitlements in social insurance" (nasa_10_pens1) The table gives an overview of accumulation of pension entitlements by all types of social insurance pension schemes (defined contribution vs. defined benefit schemes, private vs. general government schemes, core accounts schemes vs. social security schemes) in a given period due to pension contributions, payment of pension benefits and other changes. 2. "Sensitivity analysis of accrued-to-date pension entitlements in general government pension schemes outside of core national accounts" (nasa_10_pens2) The data on unfunded general government pension schemes outside of core national accounts are based on actuarial calculations. Thus, the results for pension entitlements depend to a large extent on the underlying assumptions. To ensure a consistent approach and cross-country data comparability, actuarial assumptions for these schemes in ESA 2010 Table 29 are aligned with those proposed by the EPC Ageing Working group (AWG), including the discount rate to calculate present value of pension entitlements. Actuarial assumptions are regularly reviewed by the AWG in the framework of 3-yearly Ageing reports. Analysis shows that the discount rate is the most important parameter that impacts on the resulting value of pension entitlements. Therefore, table 2 shows how the outcome of actuarial calculations varies based on a different choice of discount rate. Three scenarios are presented as follows under SECTOR dimension: S13_BC – base case scenario with current discount rate 5% in nominal terms (3% in real terms) S13_SC1 –scenario with discount rate 1 percentage point less than in base case S13_SC3 –scenario with discount rate 1 percentage point higher than in base case Data, as far as they are available, are expressed in national currency and millions of euro in current prices. In line with ESA2010 Transmission programme requirements data series start from 2015 and are to be transmitted on 3-yearly basis. Countries may transmit longer time series or transmit data annually on voluntary basis.
    • 2月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 2月, 2019
      データセットを選択
      This ad-hoc module "transition from work to retirement" aimed at answering the following main questions: how people leave the labour market,why they left the labour market,why they did not stay longer and,how long the active population, aged 50 to 69, expects to be in the labour market.
    • 5月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 01 6月, 2017
      データセットを選択
      The indicator is defined as the ratio of the median individual gross pensions of 65-74 age category relative to median individual gross earnings of 50-59 age category, excluding other social benefits. For 2004-2005 data, aggregate income replacement ratio is based on net income components for ES, EL, IT, LV, PT. EU aggregate figures are calculated as population-weighted averages of national values.
    • 3月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 3月, 2018
      データセットを選択
      Ratio of the median individual gross pensions of 65-74 age category relative to median individual gross earnings of 50-59 age category, excluding other social benefits.
    • 11月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 30 11月, 2019
      データセットを選択
      The domain "Income and living conditions" covers four topics: people at risk of poverty or social exclusion, income distribution and monetary poverty, living conditions and material deprivation, which are again structured into collections of indicators on specific topics. The collection "People at risk of poverty or social exclusion" houses main indicator on risk of poverty or social inclusion included in the Europe 2020 strategy as well as the intersections between sub-populations of all Europe 2020 indicators on poverty and social exclusion. The collection "Income distribution and monetary poverty" houses collections of indicators relating to poverty risk, poverty risk of working individuals as well as the distribution of income. The collection "Living conditions" hosts indicators relating to characteristics and living conditions of households, characteristics of the population according to different breakdowns, health and labour conditions, housing conditions as well as childcare related indicators. The collection "Material deprivation" covers indicators relating to economic strain, durables, housing deprivation and environment of the dwelling.
    • 11月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 30 11月, 2019
      データセットを選択
      The domain "Income and living conditions" covers four topics: people at risk of poverty or social exclusion, income distribution and monetary poverty, living conditions and material deprivation, which are again structured into collections of indicators on specific topics. The collection "People at risk of poverty or social exclusion" houses main indicator on risk of poverty or social inclusion included in the Europe 2020 strategy as well as the intersections between sub-populations of all Europe 2020 indicators on poverty and social exclusion. The collection "Income distribution and monetary poverty" houses collections of indicators relating to poverty risk, poverty risk of working individuals as well as the distribution of income. The collection "Living conditions" hosts indicators relating to characteristics and living conditions of households, characteristics of the population according to different breakdowns, health and labour conditions, housing conditions as well as childcare related indicators. The collection "Material deprivation" covers indicators relating to economic strain, durables, housing deprivation and environment of the dwelling.
    • 7月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 28 11月, 2015
      データセットを選択
      Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category: Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below: Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.
    • 7月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 24 11月, 2015
      データセットを選択
      Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category:Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below:Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.
    • 7月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 28 11月, 2015
      データセットを選択
      Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category: Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below: Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.
    • 7月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 28 11月, 2015
      データセットを選択
      Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category: Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below: Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.
  • E
    • 4月 2019
      ソース: European Central Bank
      アップロード者: Sandeep Reddy
      以下でアクセス: 10 5月, 2019
      データセットを選択
      ECB : Insurance Corporations and Pension Funds  Reference sector:Insurance corporations and Pension FundsCounterpart sector:Total economyConsolidation Status:Non-consolidated
    • 7月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 26 7月, 2019
      データセットを選択
      The Pensions at a Glance indicators, covering all 34 OECD countries, are designed to show future entitlements for workers who entered the labour market in 2008 and spend their entire working lives under the same set of rules. The results presented here include all mandatory pension schemes for private-sector workers, regardless of whether they are public or private.
    • 11月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 19 11月, 2019
      データセットを選択
      The 'Pensions' aggregate comprises part of periodic cash benefits under the disability, old-age, survivors and unemployment functions. It is defined as the sum of the following social benefits: disability pension, early-retirement due to reduced capacity to work, old-age pension, anticipated old-age pension, partial pension, survivors' pension, early-retirement benefit for labour market reasons.
  • F
    • 5月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 03 5月, 2019
      データセットを選択
      Data include pension funds per the OECD classification 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 include 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. A full description of the OECD classification can be found at:http://www.oecd.org/dataoecd/0/49/38356329.pdf. Pension funds include also some personal pension arrangements like the Individual Retirement Accounts (IRAs) in the United States as well as funds for government workers. The coverage of the statistics follows the regulatory and supervisory framework. All authorised pension funds are therefore normally covered by the Global Pension Statistics exercise. Assets pertaining to reserve funds in social security systems are excluded.
    • 3月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 21 5月, 2018
      データセットを選択
      Data include pension funds per the OECD classification 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 include 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. A full description of the OECD classification can be found at: http://www.oecd.org/dataoecd/0/49/38356329.pdf.  Pension funds include also some personal pension arrangements like the Individual Retirement Accounts (IRAs) in the United States as well as funds for government workers. The coverage of the statistics follows the regulatory and supervisory framework. All authorised pension funds are therefore normally covered by the Global Pension Statistics exercise. Assets pertaining to reserve funds in social security systems are excluded.
  • G
    • 11月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 30 11月, 2019
      データセットを選択
      The domain "Income and living conditions" covers four topics: people at risk of poverty or social exclusion, income distribution and monetary poverty, living conditions and material deprivation, which are again structured into collections of indicators on specific topics. The collection "People at risk of poverty or social exclusion" houses main indicator on risk of poverty or social inclusion included in the Europe 2020 strategy as well as the intersections between sub-populations of all Europe 2020 indicators on poverty and social exclusion. The collection "Income distribution and monetary poverty" houses collections of indicators relating to poverty risk, poverty risk of working individuals as well as the distribution of income. The collection "Living conditions" hosts indicators relating to characteristics and living conditions of households, characteristics of the population according to different breakdowns, health and labour conditions, housing conditions as well as childcare related indicators. The collection "Material deprivation" covers indicators relating to economic strain, durables, housing deprivation and environment of the dwelling.
    • 10月 2015
      ソース: HelpAge International
      アップロード者: Knoema
      以下でアクセス: 16 10月, 2015
      データセットを選択
      The aim of the Index is both to capture the multidimensional nature of the quality of life and wellbeing of older people, and to provide a means by which to measure performance and promote improvements. We have chosen 13 different indicators for the four key domains of Income security, Health status, Capability, and Enabling environment. Domain 1: Income security The income security domain assesses people's access to a sufficient amount of income, and the capacity to use it independently, in order to meet basic needs in older age. Domain 2: Health status The three indicators used for the health domain provide information about physical and psychological wellbeing. Domain 3: Capability The employment and education indicators in this domain look at different aspects of the empowerment of older people. Domain 4: Enabling environment This domain uses data from Gallup World View to assess older people's perception of social connectedness, safety, civic freedom and access to public transport - issues older people have singled out as particularly important.
    • 5月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 28 6月, 2019
      データセットを選択
      Pension assets continued to rise in 2017, exceeding USD 40 trillion in the OECD area for the first time ever, with almost all countries showing positive investment results. This can be attributed to the strong investment performance of pension assets that benefitted from buoyant stock markets
    • 9月 2019
      ソース: Natixis
      アップロード者: Knoema
      以下でアクセス: 25 11月, 2019
      データセットを選択
      The Global Retirement Index (GRI) is a multi-dimensional index developed by Natixis Global Asset Management and CoreData Research to examine the factors that drive retirement security and to provide a comparison tool for best practices in retirement policy. The index incorporates 18 performance indicators, grouped into four thematic sub-indices, which have been calculated on the basis of reliable data from a range of international organizations and academic sources. It takes into account the particular characteristics of the older demographic retiree group in order to assess and compare the level of retirement security in different countries around the world. The four thematic indices cover key aspects for welfare in retirement: the material means to live comfortably in retirement; access to quality financial services to help preserve savings value and maximize income; access to quality health services; and a clean and safe environment. The sub-indices provide insight into which particular characteristics are driving an improvement or worsening each country’s position. Data has been tracked consistently to provide a basis for year-over-year comparison. This is the fifth year Natixis Global Asset Management and CoreData have produced the GRI as a guide to the changing decisions facing retirees as they focus on their needs and goals for the future, and where and how to most efficiently preserve wealth while enjoying retirement. As the GRI continues to run each year, it is our hope it will be possible to discern ongoing trends in, for instance, the quality of a nation’s financial services sector, thereby identifying those variables that can be best managed to ensure a more secure retirement. The index includes International Monetary Fund (IMF) advanced economies, members of the Organization for Economic Co-operation and Development (OECD) and the BRIC countries (Brazil, Russia, India, and China). The researchers calculated a mean score in each category and combined the category scores for a final overall ranking of the 43 nations studied. The index is calculated as a percentage from 0% to 100% where 100% represents the most favorable environment to retirement security.
  • M
    • 11月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 30 11月, 2019
      データセットを選択
      The domain "Income and living conditions" covers four topics: people at risk of poverty or social exclusion, income distribution and monetary poverty, living conditions and material deprivation, which are again structured into collections of indicators on specific topics. The collection "People at risk of poverty or social exclusion" houses main indicator on risk of poverty or social inclusion included in the Europe 2020 strategy as well as the intersections between sub-populations of all Europe 2020 indicators on poverty and social exclusion. The collection "Income distribution and monetary poverty" houses collections of indicators relating to poverty risk, poverty risk of working individuals as well as the distribution of income. The collection "Living conditions" hosts indicators relating to characteristics and living conditions of households, characteristics of the population according to different breakdowns, health and labour conditions, housing conditions as well as childcare related indicators. The collection "Material deprivation" covers indicators relating to economic strain, durables, housing deprivation and environment of the dwelling.
    • 10月 2019
      ソース: Melbourne Mercer
      アップロード者: Knoema
      以下でアクセス: 26 11月, 2019
      データセットを選択
      Melbourne Mercer Global Pension index has become an important reference point in the debate about the adequacy, sustainability and integrity of retirement systems around the world. While some countries have well-established retirement systems that have stood the test of time, others are just developing, especially those within the Asian region. Regardless, as nations and policy makers struggle with the competing needs of an ageing population and achieving an appropriate fiscal balance, our hope is that this report will provide an opportunity for debate and discussion about possible alternative strategies. The Index uses three sub-indices —adequacy, sustainability and integrity — to measure each country's retirement income system. The overall index value for each country's system represents the weighted average of the three sub-indices. The weightings used are 40 percent for the adequacy sub-index, 35 percent for the sustainability sub-index and 25 percent for the integrity sub-index. The different weightings are used to reflect the primary importance of the adequacy sub-index which represents the benefits that are currently being provided together with some important benefit design features. The integrity sub-index considers several items that influence the overall governance and operations of the system which affects the level of confidence that the citizens of each country have in their system. 
  • N
    • 3月 2010
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 28 11月, 2015
      データセットを選択
      Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category: Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below: Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.
  • O
  • P
    • 10月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 03 11月, 2018
      データセットを選択
      The domain "Income and living conditions" covers four topics: people at risk of poverty or social exclusion, income distribution and monetary poverty, living conditions and material deprivation, which are again structured into collections of indicators on specific topics. The collection "People at risk of poverty or social exclusion" houses main indicator on risk of poverty or social inclusion included in the Europe 2020 strategy as well as the intersections between sub-populations of all Europe 2020 indicators on poverty and social exclusion. The collection "Income distribution and monetary poverty" houses collections of indicators relating to poverty risk, poverty risk of working individuals as well as the distribution of income. The collection "Living conditions" hosts indicators relating to characteristics and living conditions of households, characteristics of the population according to different breakdowns, health and labour conditions, housing conditions as well as childcare related indicators. The collection "Material deprivation" covers indicators relating to economic strain, durables, housing deprivation and environment of the dwelling.
    • 4月 2019
      ソース: European Central Bank
      アップロード者: Sandeep Reddy
      以下でアクセス: 16 4月, 2019
      データセットを選択
      Pension Funds: Balance Sheet Liabilities
    • 6月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 06 6月, 2019
      データセットを選択
      Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category: Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below: Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.
    • 6月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 06 6月, 2019
      データセットを選択
      Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category: Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below: Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.
    • 6月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 06 6月, 2019
      データセットを選択
      Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category: Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below: Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.
    • 6月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 06 6月, 2019
      データセットを選択
      Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category: Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below: Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.
    • 9月 2017
      ソース: Willis Towers Watson
      アップロード者: Knoema
      以下でアクセス: 15 11月, 2017
      データセットを選択
      According to the research, North America showed the most noticeable annualised growth rate over the last five years, growing by 6.7% during the period. Europe and Asia-Pacific regions showed annualised growth rates of 3.1 % and 2.8% respectively. The U.S. continues to hold its position as the country with the largest share of pension assets across the top 300 funds, representing 38.6% spread across 134 funds. Meanwhile, Canada has overtaken the U.K. as the fifth largest country by share of pension fund assets, accounting for 5.4% (5.3% in 2015). The U.K. now accounts for 4.8%, falling from 5.4% of total assets in 2015. A total of 28 new funds have entered the ranking over the last five years, with the U.S. contributing the most new funds (13) on a net basis. Germany and Mexico experienced the highest net losses over the period, losing a net four funds each. The U.S. has the largest number of funds within the top 300 ranking (134), followed by the U.K. (26), Canada (18), Japan and Australia (both 16). Defined benefit (DB) assets increased by 5.6% in 2016, compared to 9.6% for defined contribution (DC) plans, 3.9% for reserve funds and an increase of 2.9% for hybrid funds. DB assets account for 65.5% of the disclosed total AUM, down from 65.9% in 2015, whilst DC assets have increased their share, rising from 21.5% in 2015 to 22.2%. Reserve funds remain relatively unchanged at 11.5% (11.7% in 2015), as do hybrid funds (0.8%, falling from 0.9% in 2015)
    • 10月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 24 10月, 2019
      データセットを選択
      The OECD Pensions at a Glance Database has been developed in order to serve a growing need for pensions indicators. It 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.
    • 11月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 28 11月, 2019
      データセットを選択
      Data on expenditure and receipts of social protection, on net social protection benefits as well as on pension beneficiaries contained in the ESSPROS domain are drawn up according to the ESSPROS (European System of integrated Social Protection Statistics) domain. Detailed information on the ESSPROS 'Concepts and Definitions' is available in Section 3.4 below. The ESSPROS domainIn Eurostat database, ESSPROS domain, ESSPROS data on expenditure and receipts, data on net social protection benefits as well as data on Pension beneficiaries for the total of schemes are currently disseminated. The qualitative information is available in the dedicated section "Social protection" of the Eurostat website. The release of ESSPROS data, quality reports and the qualitative information is made annually. Among the three main categories of data soruces - administrative data, national accounts and other estimates, surveys/census - most of the countries report administrative data and register-based data as their main data sources. Data on expenditure and receipts correspond to two collections "EXPEND" (Social protection expenditure) and "RECEIPTS" (Social protection receipts). The collection "EXPEND" is composed by three groups: 1. expsum (Expenditure - Summary tables); it contains two summary tables:e sum Expenditure: main results. The data include the expenditure broken down in social benefits, administration cost and other expenditure. In addition, social benefits are classified by functions of social protection. e pens Pensions. The data include the social benefits relating to pensions (old age, disability, survivors and unemployment pensions). In addition the data are split between means-tested and non means-tested benefits. 2. expcur (Expenditure - Tables by functions and aggregated benefits); it contains five tables corresponding to different "currencies": national currencies (e nac), euros (e eur), Purchasing Power Standards (e pps), Purchasing Power Standards per head (e ppsh) and % of the GDP (e gdp). For each table data (social protection benefits) are published:according to the classification by function of social protection: eight functions (Sickness /Health care; Disability; Old age; Survivors; Family/children; Unemployment; Housing; Social exclusion not elsewhere classified) and the total of social benefits;according to the detailed classification of benefits by type - cash benefits and benefits in kind- and by characteristic -split between means-tested and non means-tested benefits. 3. expfunc (Expenditure - Tables by benefits and currency); it contains nine tables corresponding to the eight different functions of social protection and one for the total of social benefits. In each table data are published according to the detailed classification of benefits by function,type and characteristic. The collection "RECEIPTS"is composed by two groups: 1. recsum (Receipts - Summary tables); it contains two tables:r sumt Receipts by type. The data include the receipts of social protection broken down in the different types of receipts - social contributions, general government contributions and other receipts.r sums Receipts by sector of origin. The data include the receipts of social protection broken down by the different sectors of origin -corporations, general government, households, non-profit institutions serving households, rest of the world. 2. reccur (Receipts by different "currencies"); it contains three tables: national currencies (r nac), euros (r eur) and % of the GDP (r gdp). For each table data (receipts) are published:according to the classification by types of receipts;according to the classification by sectors of origin. Data on net social protection benefits correspond to the table " spr_net_ben" (Net social protection benefits) in the collection "NET". The ESSPROS module on net social protection benefits (restricted approach) measures net expenditure by collecting information on the average rates of taxes and social contributions paid by recipients of each cash benefit reported in the Core system. These rates are then applied to the gross expenditure on each benefit to obtain a net value as follows: Net social benefits = Gross social benefits * (1 – AITR – AISCR) where AITR / AISCR are the Average itemized tax / social contribution rates. The net social protection benefits are complemented by the value of “Fiscal benefits” provided in the form of tax breaks that would be defined as social protection benefits, if they were provided in cash. Tax breaks promoting the provision of social protection or promoting private insurance plans are excluded. Exceptionally, if some fiscal benefits cannot be taken into account in the assessment of the actual taxes and social contributions paid on social benefits (this happen for few countries), then the value of net benefits should be complemented by the residual value of the fiscal benefit. In this case the formula above becomes: Net social benefits = Gross social benefits * (1 – AITR – AISCR) + Residual fiscal benefitsData on pension beneficiaries correspond to the collection "PENS" that contains the table "spr_pns_ben" (Pension Beneficiaries at 31 December of each year). The data include the number of recipients of one or more periodic cash benefits under a social protection scheme falling within seven pension categories grouped into four basic functions. The seven categories of pensions in this module are:Disability pension;Early retirement benefit due to reduced capacity to work;Old-age pension;Anticipated old-age pension;Partial pension;Survivor's pension;Early retirement benefit due to labour market reasons. The four functions of the module are:Disability (grouping the first two categories of pensions above);Old age (grouping the next three);Survivors (the sixth category);Unemployment (the last category). The data, available by gender for the total of schemes, are expressed in "units". Methodological definitions and more details about social protection classifications and breakdowns can be found in the ESSPROS Manual - The European System of integrated Social PROtection Statistics.
    • 11月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 06 12月, 2019
      データセットを選択
      The domain "Income and living conditions" covers four topics: people at risk of poverty or social exclusion, income distribution and monetary poverty, living conditions and material deprivation, which are again structured into collections of indicators on specific topics. The collection "People at risk of poverty or social exclusion" houses main indicator on risk of poverty or social inclusion included in the Europe 2020 strategy as well as the intersections between sub-populations of all Europe 2020 indicators on poverty and social exclusion. The collection "Income distribution and monetary poverty" houses collections of indicators relating to poverty risk, poverty risk of working individuals as well as the distribution of income. The collection "Living conditions" hosts indicators relating to characteristics and living conditions of households, characteristics of the population according to different breakdowns, health and labour conditions, housing conditions as well as childcare related indicators. The collection "Material deprivation" covers indicators relating to economic strain, durables, housing deprivation and environment of the dwelling.
    • 7月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 14 7月, 2019
      データセットを選択
      Data cover both social security reserve funds and sovereign pension reserve funds, the two main categories of public pension reserve funds. Social security reserve funds are set up as part of the overall social security system. They are funded chiefly by surpluses from employee and/or employer contributions over current payouts and, in some cases, by top-up contributions from the government through fiscal transfers and other sources. They may be managed either as part of a national social security scheme or by an independent - often public sector - fund management entity. Sovereign pension reserve funds are funds established by governments (independently of social security systems), who finance them directly through fiscal transfers. They are usually mandated to finance public pension expenditures at a specific future date. Some are not allowed to make any payouts for decades.
  • S
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 26 7月, 2019
      データセットを選択
      The supplementary table on accrued-to-date  pension entitlements in social insurance (pensions in National Accounts) is compiled in accordance with the European System of Accounts (ESA 2010) and is transmitted by EU Member States, EEA Members (Norway, Iceland) and Switzerland following the ESA2010 transmission programme (Table 29) established by the Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013 on the European system of national and regional accounts in the European Union, annexes A and B respectively). By introducing this table, ESA 2010 added enhanced reporting on pensions, covering both entitlements of pension schemes recorded in the core national accounts, and unfunded "pay-as-you-go" pension schemes managed by general government. The latters' entitlements are excluded from the core national accounts and are considered as contingent liabilities. However, full coverage of all pension schemes in one table provides a complete overview of organisation of pension social insurance in a given country and enhances cross-country analysis of pension entitlements of households. At the same time, it should be stressed that accrued-to-date pension entitlements in social insurance are not a measure of the sustainability of public finances and not part of government debt. The European reporting system on age-related expenditure is multifaceted. National accountants focus in this dataset on already earned (accrued-to-date) pension entitlements of current persons employed and current pensioners, whereas the Economic Policy Committee (EPC) is analysing the impact of ageing on European societies from a wider angle. The EPC'S Ageing Report includes estimates for pension entitlements (and related contributions) being accrued in the future. Data are presented by means of two tables: 1.  "Accrued-to-date pension entitlements in social insurance" (nasa_10_pens1) The table gives an overview of accumulation of pension entitlements by all types of social insurance pension schemes (defined contribution vs. defined benefit schemes, private vs. general government schemes, core accounts schemes vs. social security schemes) in a given period due to pension contributions, payment of pension benefits and other changes. 2. "Sensitivity analysis of accrued-to-date pension entitlements in general government pension schemes outside of core national accounts" (nasa_10_pens2) The data on unfunded general government pension schemes outside of core national accounts are based on actuarial calculations. Thus, the results for pension entitlements depend to a large extent on the underlying assumptions. To ensure a consistent approach and cross-country data comparability, actuarial assumptions for these schemes in ESA 2010 Table 29 are aligned with those proposed by the EPC Ageing Working group (AWG), including the discount rate to calculate present value of pension entitlements. Actuarial assumptions are regularly reviewed by the AWG in the framework of 3-yearly Ageing reports. Analysis shows that the discount rate is the most important parameter that impacts on the resulting value of pension entitlements. Therefore, table 2 shows how the outcome of actuarial calculations varies based on a different choice of discount rate. Three scenarios are presented as follows under SECTOR dimension: S13_BC – base case scenario with current discount rate 5% in nominal terms (3% in real terms) S13_SC1 –scenario with discount rate 1 percentage point less than in base case S13_SC3 –scenario with discount rate 1 percentage point higher than in base case Data, as far as they are available, are expressed in national currency and millions of euro in current prices. In line with ESA2010 Transmission programme requirements data series start from 2015 and are to be transmitted on 3-yearly basis. Countries may transmit longer time series or transmit data annually on voluntary basis.
    • 9月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 18 9月, 2018
      データセットを選択
      Description not available
    • 4月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 09 4月, 2019
      データセットを選択
      The OECD’s Social Benefit Recipients Database (SOCR) presents, for the first time, comparable information on the number of people receiving cash benefits. SOCR includes data for the main income replacement programmes in the unemployment, social assistance, disability and old-age branches. It currently covers eight years (2007-2014) for most OECD and EU countries

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