デンマーク

  • Monarch:Margrethe II
  • 首相:Mette Frederiksen
  • 首都:Copenhagen
  • 言語:Danish, Faroese, Greenlandic (an Inuit dialect), German (small minority) note: English is the predominant second language
  • 政府
  • 統計局
  • 人口、人:5,925,280 (2024)
  • 面積、平方キロメートル:40,000
  • 1人当たりGDP、US $:67,790 (2022)
  • GDP、現在の10億米ドル:400.2 (2022)
  • GINI指数:28.3 (2021)
  • ビジネスのしやすさランク:4
すべてのデータセット: 3 A B C D E F G H I K L M N O P Q R S T U V W И П Р С
  • 3
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      データセットを選択
      The 3-months interest rate is a representative short-term interest rate series for the domestic money market. From January 1999, the euro area rate is the 3-month "EURo InterBank Offered Rate" (EURIBOR) EURIBOR is the benchmark rate of the large euro money market that has emerged since 1999. It is the rate at which euro InterBank term deposits are offered by one prime bank to another prime bank. The contributors to EURIBOR are the banks with the highest volume of business in the euro area money markets. The panel of banks consists of banks from EU countries participating in the euro from the outset, banks from EU countries not participating in the euro from the outset, and large international banks from non-EU countries but with important euro area operations. Monthly data are calculated as averages of daily values. Data are presented in raw form. Source: European Central Bank (ECB)
  • A
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 3月, 2024
      データセットを選択
      The indicator is defined as the percentage of the population aged 15-64 who are economically active. According to the definitions of the International Labour Organisation (ILO) people are classified as employed, unemployed and economically inactive for the purposes of labour market statistics. The economically active population (also called labour force) is the sum of employed and unemployed persons. Inactive persons are those who, during the reference week, were neither employed nor unemployed. The indicator is based on the EU Labour Force Survey.
    • 10月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 01 11月, 2016
      データセットを選択
      Eurostat Dataset Id:med_ec0 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â
    • 11月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 12月, 2017
      データセットを選択
      Data in this domain constitute only a small part of the entire National Accounts data range available from Eurostat. Annual and quarterly national accounts are compiled in accordance with the European System of Accounts - ESA 2010as defined in Annex B of the Council Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013. The previous European System of Accounts, ESA95, was reviewed to bring national accounts in the European Union, in line with new economic environment, advances in methodological research and needs of users and the updated national accounts framework at the international level, the SNA 2008. The revisions are reflected in an updated Regulation of the European Parliament and of the Council on the European system of national and regional accounts in the European Union of 2010 (ESA 2010). The associated transmission programme is also updated and data transmissions in accordance with ESA 2010 are compulsory from September 2014 onwards. The annual data of this domain consists of the following collections: 1. Main GDP aggregates: main components from the output, expenditure and income side.nama_10_gdp: GDP and main components (output, expenditure and income   The quarterly data of this domain consists of the following collections 1. Main GDP aggregates, main components from the output, expenditure and income side, expenditure breakdowns by industry and assets. namq_10_ma: Main GDP aggregatesnamq_10_gdp: GDP and main components (output, expenditure and incomenamq_10_fcs: Final consumption aggregates by durabilitynamq_10_exi: Exports and imports by Member States of the EU/third countries 2. Breakdowns of GDP aggregates and employment data by main industries and asset classes. namq_10_bbr: Basic breakdowns main GDP aggregates and employment (by industry and assets)namq_10_a10: Gross value added and income by A*10 industrynamq_10_an6: Gross fixed capital formation by AN_F6 asset typenamq_10_a10_e: Employment by A*10 industry breakdowns Geographical entities covered are the European Union, the euro area, EU Member States, Candidate Countries, EFTA countries, US, Japan and possibly other countries on an ad-hoc basis. Data sources: National Statistical Institutes
    • 11月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 12月, 2017
      データセットを選択
      Data in this domain constitute only a small part of the entire National Accounts data range available from Eurostat. Annual and quarterly national accounts are compiled in accordance with the European System of Accounts - ESA 2010as defined in Annex B of the Council Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013. The previous European System of Accounts, ESA95, was reviewed to bring national accounts in the European Union, in line with new economic environment, advances in methodological research and needs of users and the updated national accounts framework at the international level, the SNA 2008. The revisions are reflected in an updated Regulation of the European Parliament and of the Council on the European system of national and regional accounts in the European Union of 2010 (ESA 2010). The associated transmission programme is also updated and data transmissions in accordance with ESA 2010 are compulsory from September 2014 onwards. The annual data of this domain consists of the following collections: 1. Main GDP aggregates: main components from the output, expenditure and income side.nama_10_gdp: GDP and main components (output, expenditure and income   The quarterly data of this domain consists of the following collections 1. Main GDP aggregates, main components from the output, expenditure and income side, expenditure breakdowns by industry and assets. namq_10_ma: Main GDP aggregatesnamq_10_gdp: GDP and main components (output, expenditure and incomenamq_10_fcs: Final consumption aggregates by durabilitynamq_10_exi: Exports and imports by Member States of the EU/third countries 2. Breakdowns of GDP aggregates and employment data by main industries and asset classes. namq_10_bbr: Basic breakdowns main GDP aggregates and employment (by industry and assets)namq_10_a10: Gross value added and income by A*10 industrynamq_10_an6: Gross fixed capital formation by AN_F6 asset typenamq_10_a10_e: Employment by A*10 industry breakdowns Geographical entities covered are the European Union, the euro area, EU Member States, Candidate Countries, EFTA countries, US, Japan and possibly other countries on an ad-hoc basis. Data sources: National Statistical Institutes
    • 11月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 12月, 2017
      データセットを選択
      Data in this domain constitute only a small part of the entire National Accounts data range available from Eurostat. Annual and quarterly national accounts are compiled in accordance with the European System of Accounts - ESA 2010as defined in Annex B of the Council Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013. The previous European System of Accounts, ESA95, was reviewed to bring national accounts in the European Union, in line with new economic environment, advances in methodological research and needs of users and the updated national accounts framework at the international level, the SNA 2008. The revisions are reflected in an updated Regulation of the European Parliament and of the Council on the European system of national and regional accounts in the European Union of 2010 (ESA 2010). The associated transmission programme is also updated and data transmissions in accordance with ESA 2010 are compulsory from September 2014 onwards. The annual data of this domain consists of the following collections: 1. Main GDP aggregates: main components from the output, expenditure and income side.nama_10_gdp: GDP and main components (output, expenditure and income   The quarterly data of this domain consists of the following collections 1. Main GDP aggregates, main components from the output, expenditure and income side, expenditure breakdowns by industry and assets. namq_10_ma: Main GDP aggregatesnamq_10_gdp: GDP and main components (output, expenditure and incomenamq_10_fcs: Final consumption aggregates by durabilitynamq_10_exi: Exports and imports by Member States of the EU/third countries 2. Breakdowns of GDP aggregates and employment data by main industries and asset classes. namq_10_bbr: Basic breakdowns main GDP aggregates and employment (by industry and assets)namq_10_a10: Gross value added and income by A*10 industrynamq_10_an6: Gross fixed capital formation by AN_F6 asset typenamq_10_a10_e: Employment by A*10 industry breakdowns Geographical entities covered are the European Union, the euro area, EU Member States, Candidate Countries, EFTA countries, US, Japan and possibly other countries on an ad-hoc basis. Data sources: National Statistical Institutes
    • 11月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 12月, 2017
      データセットを選択
      Data in this domain constitute only a small part of the entire National Accounts data range available from Eurostat. Annual and quarterly national accounts are compiled in accordance with the European System of Accounts - ESA 2010as defined in Annex B of the Council Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013. The previous European System of Accounts, ESA95, was reviewed to bring national accounts in the European Union, in line with new economic environment, advances in methodological research and needs of users and the updated national accounts framework at the international level, the SNA 2008. The revisions are reflected in an updated Regulation of the European Parliament and of the Council on the European system of national and regional accounts in the European Union of 2010 (ESA 2010). The associated transmission programme is also updated and data transmissions in accordance with ESA 2010 are compulsory from September 2014 onwards. The annual data of this domain consists of the following collections: 1. Main GDP aggregates: main components from the output, expenditure and income side. nama_10_gdp: GDP and main components (output, expenditure and income   The quarterly data of this domain consists of the following collections 1. Main GDP aggregates, main components from the output, expenditure and income side, expenditure breakdowns by industry and assets. namq_10_ma: Main GDP aggregatesnamq_10_gdp: GDP and main components (output, expenditure and incomenamq_10_fcs: Final consumption aggregates by durabilitynamq_10_exi: Exports and imports by Member States of the EU/third countries 2. Breakdowns of GDP aggregates and employment data by main industries and asset classes. namq_10_bbr: Basic breakdowns main GDP aggregates and employment (by industry and assets)namq_10_a10: Gross value added and income by A*10 industrynamq_10_an6: Gross fixed capital formation by AN_F6 asset typenamq_10_a10_e: Employment by A*10 industry breakdowns Geographical entities covered are the European Union, the euro area, EU Member States, Candidate Countries, EFTA countries, US, Japan and possibly other countries on an ad-hoc basis. Data sources: National Statistical Institutes
    • 3月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 3月, 2018
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 1月 2024
      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: 13 1月, 2024
      データセットを選択
      The “ALFS Summary tables” dataset is a subset of the Annual Labour Force Statistics database which presents annual labour force statistics and broad population series for 34 OECD member countries plus Brazil, Columbia and Russian Federation and 4 geographical areas (Major Seven, Euro area, European Union and OECD-Total). Data are presented in thousands of persons, in percentage or as indices with base year 2010=100. This dataset contains estimates from the OECD Secretariat for the latest years when countries did not provide data. These estimates are necessary to compile aggregated statistics for the geographical areas for a complete span of time. Since 2003, employment data by sector for the United States are compiled following the North American Industrial Classification System (NAICS); therefore they are not strictly comparable with other countries’ data. Euro area and European Union data were extracted from Eurostat (LFS Series, Detailed annual survey results in New Cronos). Euro area refer to Euro area with 17 countries (geo = ea17). European Union refers to European Union with 27 countries (geo = eu27).
    • 4月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 21 4月, 2023
      データセットを選択
      Information on net earnings (net pay taken home, in absolute figures) and related tax-benefit rates (in %) complements gross‑earnings data with respect to disposable earnings. The transition from gross to net earnings requires the deduction of income taxes and employee's social security contributions from the gross amounts and the addition of family allowances, if appropriate. The amount of these components and therefore the ratio of net to gross earnings depend on the individual situation. A number of different family situations are considered, all referring to an average worker. Differences exist with respect to marital status (single vs. married), number of workers (only in the case of couples), number of dependent children, and level of gross earnings, expressed as a percentage of the gross earnings of an average worker (AW).  All the data are based on a widely acknowledged model developed by the OECD, where figures are obtained from national sources (for further details on data providers, see the national contact list in Annex). The collection contains, for selected situations, data for the following variables and indicators : a)      gross and net earnings, including the transition components "income taxes", "employee's social security contributions" and "family allowances", if appropriate; b)      tax rate, defined as the income tax on gross wage earnings plus the employee's social security contributions less universal cash benefits, expressed as a percentage of gross wage earnings; c)      tax wedge on labour costs, defined as income tax on gross wage earnings plus the employee's and the employer's social security contributions, expressed as a percentage of the total labour costs of the earner. The total labour costs of the earner are defined as his/her gross earnings plus the employer's social security contributions plus payroll taxes (where applicable). The tax wedge on labour costs structural indicator is available only for single persons without children earning 67% of the AW. d)      unemployment trap, measuring the percentage of gross earnings which is taxed away through higher tax and social security contributions and the withdrawal of unemployment, and other, benefits when an unemployed person returns to employment. This structural indicator is available only for single persons without children earning 67% of the AW when in work. e)      low wage trap, measuring the percentage of gross earnings which is taxed away through the combined effects of income taxes, social security contributions and any withdrawal of benefits when gross earnings increase from 33% to 67% of AW. This structural indicator is available for single persons without children and one-earner couples with two children.
    • 6月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 20 6月, 2023
      データセットを選択
      Data are the result of the annual structure of government debt survey and cover the EU countries as well as Norway. The following series are available: Central government gross debt by initital maturity and sector of debt holder; State government gross debt by initital maturity and sector of debt holder; Local government gross debt by initital maturity and sector of debt holder; Social security funds gross debt by initital maturity and sector of debt holder; General government gross debt by initital maturity and sector of debt holder; Debt by currency of issuance; Government guarantees (contingent liabilities); Average remaining maturity of debt; Apparent cost of the debt; Market value of debt.
    • 7月 2011
      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
      This data collection has been discontinued in 2012. Data is only available up to reference year 2011. Annual data on average gross earnings and related employment are included in the Gross earnings - Annual data collection. Data are available for EU Member States, Norway, Iceland and Switzerland. Data are also broken down by: From reference year 2008 onwards average gross annual earnings per employee are provided by economic activity (NACE Rev.2 aggregates and sections B, C, D, E, F, G, H, I, J, K, L, M, N, O, P, Q, R, S, B_TO_E, B_TO_F, B_TO_N, B_TO_S_NOT_O, B_TO_S, G_TO_J, G_TO_N, G_TO_S_NOT_O, K_TO_N, P_TO_S and O_TO_S)for enterprises with 1+ and for enterprises with 10+ employees for the following breakdowns:FTU= full-time units, FT=full-time workers, PT=part-time workers by Total, Men and Women. Before 2008: data is broken down by economic activity (NACE Rev. 1.1 for Sections C to K and the C-E, C-F, G-I, J-K, G-K, C-K and for some Member States L, M-O, L-O and also C-O aggregates) FTU= full-time units, FT=full-time workers, PT=part-time workersgenderoccupation (ISCO-88 classification, one-digit level and the 1-5 and 7-9 aggregates)The data relate to the staff of enterprises having at least 10 employees in most countries. Countries provide these annual data using several statistical sources mainly the four-yearly SES, the EU Labour Force Survey and/or administrative data.
    • 10月 2023
      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: 17 10月, 2023
      データセットを選択
      This dataset contains data on average annual wages per full-time and full-year equivalent employee in the total economy.  Average annual wages per full-time equivalent dependent employee are obtained by dividing the national-accounts-based total wage bill by the average number of employees in the total economy, which is then multiplied by the ratio of average usual weekly hours per full-time employee to average usually weekly hours for all employees.   Average wages are converted in USD PPPs using 2017 USD PPPs for private consumption and are deflated by a price deflator for private final consumption expenditures in 2017 prices.   Real compensation per employee (instead of real wages) are considered for Chile, Iceland, Mexico and New Zealand.
    • 11月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 28 11月, 2023
      データセットを選択
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 19 3月, 2024
      データセットを選択
      The section 'LFS series - detailed quarterly survey results' reports detailed quarterly results going beyond the EU-LFS main aggregates, which have a separate data domain and some methodological differences. This data collection covers all main labour market characteristics, i.e. the total population, activity and activity rates, employment, employment rates, self employed, employees, temporary employment, full-time and part-time employment, population in employment having a second job, working time, total unemployment and inactivity. General information on the EU-LFS can be found in the ESMS page for 'Employment and unemployment (LFS)', see link in related metada. Detailed information on the main features, the legal basis, the methodology and the data as well as on the historical development of the EU-LFS is available on the EU-LFS (Statistics Explained) webpage.
    • 4月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 27 4月, 2023
      データセットを選択
      The section 'LFS series - detailed annual survey results' reports annual results from the EU-LFS. While LFS is a quarterly survey, it is also possible to produce annual results. There are several ways of doing it, see section '20.5 Data compilation' below for details. This data collection covers all main labour market characteristics, i.e. the total population, activity and activity rates, employment, employment rates, self employed, employees, temporary employment, full-time and part-time employment, population in employment having a second job, working time, total unemployment and inactivity. General information on the EU-LFS can be found in the ESMS page for 'Employment and unemployment (LFS)', see link in related metada. Detailed information on the main features, the legal basis, the methodology and the data as well as on the historical development of the EU-LFS is available on the EU-LFS (Statistics Explained) webpage.
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 3月, 2024
      データセットを選択
      The section 'LFS series - detailed quarterly survey results' reports detailed quarterly results going beyond the EU-LFS main aggregates, which have a separate data domain and some methodological differences. This data collection covers all main labour market characteristics, i.e. the total population, activity and activity rates, employment, employment rates, self employed, employees, temporary employment, full-time and part-time employment, population in employment having a second job, working time, total unemployment and inactivity. General information on the EU-LFS can be found in the ESMS page for 'Employment and unemployment (LFS)', see link in related metada. Detailed information on the main features, the legal basis, the methodology and the data as well as on the historical development of the EU-LFS is available on the EU-LFS (Statistics Explained) webpage.
    • 9月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 9月, 2023
      データセットを選択
      The section 'LFS series - detailed annual survey results' reports annual results from the EU-LFS. While LFS is a quarterly survey, it is also possible to produce annual results. There are several ways of doing it, see section '20.5 Data compilation' below for details. This data collection covers all main labour market characteristics, i.e. the total population, activity and activity rates, employment, employment rates, self employed, employees, temporary employment, full-time and part-time employment, population in employment having a second job, working time, total unemployment and inactivity. General information on the EU-LFS can be found in the ESMS page for 'Employment and unemployment (LFS)', see link in related metada. Detailed information on the main features, the legal basis, the methodology and the data as well as on the historical development of the EU-LFS is available on the EU-LFS (Statistics Explained) webpage.
    • 9月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 9月, 2023
      データセットを選択
      The section 'LFS series - detailed annual survey results' reports annual results from the EU-LFS. While LFS is a quarterly survey, it is also possible to produce annual results. There are several ways of doing it, see section '20.5 Data compilation' below for details. This data collection covers all main labour market characteristics, i.e. the total population, activity and activity rates, employment, employment rates, self employed, employees, temporary employment, full-time and part-time employment, population in employment having a second job, working time, total unemployment and inactivity. General information on the EU-LFS can be found in the ESMS page for 'Employment and unemployment (LFS)', see link in related metada. Detailed information on the main features, the legal basis, the methodology and the data as well as on the historical development of the EU-LFS is available on the EU-LFS (Statistics Explained) webpage.
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 19 3月, 2024
      データセットを選択
      The section 'LFS series - detailed quarterly survey results' reports detailed quarterly results going beyond the EU-LFS main aggregates, which have a separate data domain and some methodological differences. This data collection covers all main labour market characteristics, i.e. the total population, activity and activity rates, employment, employment rates, self employed, employees, temporary employment, full-time and part-time employment, population in employment having a second job, working time, total unemployment and inactivity. General information on the EU-LFS can be found in the ESMS page for 'Employment and unemployment (LFS)', see link in related metada. Detailed information on the main features, the legal basis, the methodology and the data as well as on the historical development of the EU-LFS is available on the EU-LFS (Statistics Explained) webpage.
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 20 3月, 2024
      データセットを選択
      The section 'LFS series - detailed quarterly survey results' reports detailed quarterly results going beyond the EU-LFS main aggregates, which have a separate data domain and some methodological differences. This data collection covers all main labour market characteristics, i.e. the total population, activity and activity rates, employment, employment rates, self employed, employees, temporary employment, full-time and part-time employment, population in employment having a second job, working time, total unemployment and inactivity. General information on the EU-LFS can be found in the ESMS page for 'Employment and unemployment (LFS)', see link in related metada. Detailed information on the main features, the legal basis, the methodology and the data as well as on the historical development of the EU-LFS is available on the EU-LFS (Statistics Explained) webpage.
    • 3月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 3月, 2023
      データセットを選択
      Personnel costs are the total remuneration, in cash or in kind, payable by an employer to an employee for work carried out. This is divided by the number of employees (paid workers), which includes part-time workers, seasonal workers etc, but excludes persons on long-term leave.
    • 6月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 20 6月, 2023
      データセットを選択
      Data are the result of the annual structure of government debt survey and cover the EU countries as well as Norway. The following series are available: Central government gross debt by initital maturity and sector of debt holder; State government gross debt by initital maturity and sector of debt holder; Local government gross debt by initital maturity and sector of debt holder; Social security funds gross debt by initital maturity and sector of debt holder; General government gross debt by initital maturity and sector of debt holder; Debt by currency of issuance; Government guarantees (contingent liabilities); Average remaining maturity of debt; Apparent cost of the debt; Market value of debt.
  • B
    • 5月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 6月, 2020
      データセットを選択
      Eurostat Dataset Id:med_ecbp The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â
    • 3月 2024
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 29 3月, 2024
      データセットを選択
      Data cited at: Balance of Payments, The International Monetary Fund. The Balance of Payments provides a framework that is applicable for a range of economies, from the smallest and least developed economies to the more advanced and complex economies. As a result, it is recognized that some items may not be relevant in all cases. The balance of payments is a statistical statement that summarizes transactions between residents and nonresidents during a period. It consists of the goods and services account, the primary income account, the secondary income account, the capital account, and the financial account. Contains balance of payments and international investment position (IIP) data of individual countries, jurisdictions, and other reporting entities, and regional and world totals for major components of the balance of payments. Both balance of payments and IIP data are presented in accordance with the standard components of the sixth edition of the Balance of Payments and International Investment Position Manual, BPM6. Balance of payments data are available for approximately 192 economies and international investment position data are available for approximately 152 economies.
    • 1月 2024
      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 1月, 2024
      データセットを選択
      The balance of payments is a statistical statement that provides a systematic summary of economic transactions of an economy with the rest of the world, for a specific time period. The transactions are for the most part between residents and non-residents of the economy. A transaction is defined as an economic flow that reflects the creation, transformation, exchange, transfer, or extinction of economic value and involves changes in ownership, of goods or assets, the provision of services, labour or capital.  This dataset presents countries compiling balance of payments statistics in accordance with the 6th edition of the Balance of Payments and International Investment Position Manual published by the IMF (BPM6). Transactions include: the goods and services accounts, the primary income account (income account in BPM5), the secondary income account (transfers in BPM5), the capital account, and the financial account. Changes in BPM6 compared to BPM5 are often a consequence of a stricter application of the change of ownership principle in particular in the goods and services accounts. They relate to transactions on goods and services (merchanting, goods for processing, Insurance), income (investment income), and financial operations (direct investment) .
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2024
      データセットを選択
      The Balance of Payments (BOP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of an economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, primary and secondary income), as well as on transactions which fall in the capital and the financial account. International investment position presents value of financial assets owned outside the economy and indebtedness of the economy to the rest of the world. BOP is an important macro-economic indicator used to assess the position of an economy (of credit or debit for current and capital acount, net acquisition of financial assets or net incurrence of liabilities for BOP financial account and international investment position) towards the external world. Out of BOP data, some indicators on international position of the EU and Member States are derived. Indicators on Main Balance of Payments and International Investment Position items as share of GDP are presented as percentage of GDP for given year or quarter and moving average for 3 consecutive years for:Balance, credit and debit flows of current and capital accounts and of main current account  items: goods, services, primary and secondary income,Net flows, net acquisition of financial assets and net incurrence of liabilities for total financial account and foreign direct investment,International investment position and net external debt at the end of reference quarter or year. Indicators on export market shares present shares of each EU Member State in total world exports of goods and services for given year, and 1-year and 5-year percentage changes of these shares, as well as shares in OECD exports and 5-year percentage changes of these shares.
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 27 3月, 2024
      データセットを選択
      The Balance of Payments is the statistical statement that systematically summarises transactions between residents and non-residents. It consists of the goods and services account, the primary income account, the secondary income account, the capital account and the financial account (BPM6 – 2.12) The current account is an important grouping of accounts within the Balance of Payments. The current account balance shows the difference between the sum of exports and income receivable and the sum of imports and income payable (exports and imports refer to both goods and services, while income refers to both primary and secondary income). The value of current account balance equals the saving-investment gap for the economy. The balance of current account is thus related to understanding domestic transactions (BPM6 – 2.15). Data are expressed in million euros. Data are presented in raw form. Source of euro area data: European Central Bank (ECB).
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 27 3月, 2024
      データセットを選択
      The Balance of Payments is the statistical statement that systematically summarises transactions between residents and non-residents. It consists of the goods and services account, the primary income account, the secondary income account, the capital account and the financial account (BPM6 – 2.12) The capital account in the international accounts shows a) capital transfers receivable and payable between residents and nonresidents and b) the acquisition and disposal of nonproduced, nonfinancial assets between residents and nonresidents (BPM6- 13.1). The capital transfers are transfers in which the ownership of an asset (other than cash or inventories) changes from one party to another. The sum of the balances on the current and capital accounts represents the net lending (surplus) or net borrowing (deficit) by the economy with the rest of the world (BPM6 – 2.18). Source of euro area data: European Central Bank (ECB).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The Balance of Payments is the statistical statement that systematically summarises transactions between residents and non-residents. It consists of the goods and services account, the primary income account, the secondary income account, the capital account and the financial account (BPM6 – 2.12) The capital account in the international accounts shows a) capital transfers receivable and payable between residents and nonresidents and b) the acquisition and disposal of nonproduced, nonfinancial assets between residents and nonresidents (BPM6- 13.1). The capital transfers are transfers in which the ownership of an asset (other than cash or inventories) changes from one party to another. The sum of the balances on the current and capital accounts represents the net lending (surplus) or net borrowing (deficit) by the economy with the rest of the world (BPM6 – 2.18). Source: European Central Bank.
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 03 4月, 2024
      データセットを選択
      The Balance of Payments is the statistical statement that systematically summarises transactions between residents and non-residents. It consists of the goods and services account, the primary income account, the secondary income account, the capital account and the financial account (BPM6 – 2.12) The financial account shows net acquisition and disposal of financial assets and liabilities The financial account indicates the functional categories, sectors, instruments, and maturities used for net international financing transactions. (BPM6 – 8.1). Five functional categories of investment are distinguished in the international accounts: a) direct investment, b) portfolio investment, c) financial derivatives and employee stock options, d) other investment and e) reserve assets. (BPM6 – 6.1). Source of euro area data: European Central Bank (ECB).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The Balance of Payments is the statistical statement that systematically summarises transactions between residents and non-residents. It consists of the goods and services account, the primary income account, the secondary income account, the capital account and the financial account (BPM6 – 2.12) The financial account shows net acquisition and disposal of financial assets and liabilities The financial account indicates the functional categories, sectors, instruments, and maturities used for net international financing transactions. (BPM6 – 8.1). Five functional categories of investment are distinguished in the international accounts: a) direct investment, b) portfolio investment, c) financial derivatives and employee stock options, d) other investment and e) reserve assets. (BPM6 – 6.1). Source of euro area data: European Central Bank (ECB).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 4月, 2024
      データセットを選択
      National accounts are a coherent and consistent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making. Eurostat publishes annual and quarterly national accounts, annual and quarterly sector accounts as well as supply, use and input-output tables, which are each presented with associated metadata. Annual national accounts are compiled in accordance with the European System of Accounts - ESA 2010 as defined in Annex B of the Council Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013.   The previous European System of Accounts, ESA95, was reviewed to bring national accounts in the European Union, in line with new economic environment, advances in methodological research and needs of users and the updated national accounts framework at the international level, the SNA 2008. The revisions are reflected in an updated Regulation of the European Parliament and of the Council on the European system of national and regional accounts in the European Union of 2010 (ESA 2010). The associated transmission programme is also updated and data transmissions in accordance with ESA 2010 are compulsory from September 2014 onwards. Further information on the transition from ESA 95 to ESA 2010 is presented on the Eurostat website. The domain consists of the following collections:   1. Main GDP aggregates: main components from the output, expenditure and income side, expenditure breakdowns by durability and exports and imports by origin. <
    • 5月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 6月, 2020
      データセットを選択
      Eurostat Dataset Id:med_ec6 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â
    • 7月 2012
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 7月, 2012
      データセットを選択
      This Dataset contains 3 Tables. Banks' balance sheet assets and liabilities - Annual data (mny_agg_a) Banks' balance sheet assets and liabilities - Quarterly data (mny_agg_q) Banks' balance sheet assets and liabilities - Monthly data (mny_agg_m). Note: Eurostat Hierarchy: Economy and finance > Monetary and other financial statistics (mny) > Monetary aggregates, counterparts, and other banks' balance sheet items (mny_agg).
    • 9月 2013
      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
    • 9月 2009
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 01 6月, 2019
      データセットを選択
      The Community Innovation Survey (CIS) is a survey of innovation activity in enterprises. The harmonised survey is designed to provide information on the innovativeness of sectors by type of enterprises, on the different types of innovation and on various aspects of the development of an innovation, such as the objectives, the sources of information, the public funding or the expenditures. The CIS provides statistics broke down by countries, type of innovators, economic activities and size classes. The survey is currently carried out every two years across the European Union, some EFTA countries and EU candidate countries. In order to ensure comparability across countries, Eurostat, in close cooperation with the countries, has developed a standard core questionnaire starting with the CIS3 data collection, along with an accompanying set of definitions and methodological recommendations. The concepts and underlying methodology of the CIS are also based on the Oslo Manual — second edition of 1997 and third edition of 2005 (see link at the bottom of the page). Up to CIS 2010, CIS results were collected under Commission Regulation (EC) No 1450/2004. A new Regulation will apply from CIS 2012 (EC No 995/2012). The data presented in these tables refer to enterprises with ‘10 employees or more’ active in the sectors to be covered under the Regulation (cf. NACE CORE). Further activities may be covered on a voluntary basis. Most statistics are based on a reference period of three years, but some use one calendar year. Since CIS 2008, the survey has included an ad-hoc module. It consists of a set of questions focusing on a special theme. The themes are different in each survey wave, allowing data to be obtained on specific issues beyond the data usually collected. Overview over time: Initially, the CIS data collection was carried out every four years. The first collection (CIS Light) was launched in 1993 as a pilot exercise and the second (CIS2) was carried out in 1997/1998 for most countries except Greece and Ireland, where it was launched in 1999. The third survey (CIS3) was conducted in 2000/2001 for most participating countries with the exception of Norway, Iceland, Luxembourg and Greece, where it was launched in 2002. As from 2004, the survey has been carried out every two years. CIS4 was conducted in the 25 EU Member States (as for 2004), Iceland, Norway, Bulgaria and Romania. The survey was launched in 2005 with a three-year reference period 2002 to 2004 for most indicators. The fifth survey CIS 2006 was carried out in all 25 EU Member States (as for 2006), Norway, Bulgaria, Romania, Croatia and Turkey. It was launched in 2007, mostly for the reference period 2004 to 2006. As regards CIS 2008, 26 Member States (all except Greece), Iceland, Norway, Croatia and Turkey took part in the survey. CIS 2008 was launched in 2009 with a three-year reference period 2006 to 2008 for most indicators. Changes were made to the CIS 2008 questionnaire to bring it into line with the third revision of the Oslo Manual, 2005 edition, by giving greater weight to organisational and marketing innovation. CIS 2008 was complemented by an ad-hoc module on innovation with environmental benefits. The seventh Community Innovation Survey, CIS 2010, had 31 participating countries (all the EU 27 Member States (except Greece), Iceland, Norway, Croatia, Serbia and Turkey) and reported most results for the reference period 2008-2010. CIS 2010 also follows the recommendations of the Oslo Manual and reports indicators on four types of innovation: product, process, organisational and marketing. However, despite implementation of the recommendations of the third edition of the Oslo Manual, the question on innovation expenditures is still limited to product and process innovation in order to maintain continuity with earlier versions of the CIS. Furthermore, generally fewer questions are asked about organisational and marketing innovation than about product and process innovation. While the European innovation statistics use the aggregated national data, the microdata sets can be accessed by researchers via the SAFE Centre of Eurostat in Luxembourg or via the microdata on CD-ROM releases in more anonymised form; some countries also provide access to their micro-data at similar safe centres.
    • 3月 2009
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 01 6月, 2019
      データセットを選択
      The Community Innovation Survey (CIS) is a survey of innovation activity in enterprises. The harmonised survey is designed to provide information on the innovativeness of sectors by type of enterprises, on the different types of innovation and on various aspects of the development of an innovation, such as the objectives, the sources of information, the public funding or the expenditures. The CIS provides statistics broke down by countries, type of innovators, economic activities and size classes. The survey is currently carried out every two years across the European Union, some EFTA countries and EU candidate countries. In order to ensure comparability across countries, Eurostat, in close cooperation with the countries, has developed a standard core questionnaire starting with the CIS3 data collection, along with an accompanying set of definitions and methodological recommendations. The concepts and underlying methodology of the CIS are also based on the Oslo Manual — second edition of 1997 and third edition of 2005 (see link at the bottom of the page). Up to CIS 2010, CIS results were collected under Commission Regulation (EC) No 1450/2004. A new Regulation will apply from CIS 2012 (EC No 995/2012). The data presented in these tables refer to enterprises with ‘10 employees or more’ active in the sectors to be covered under the Regulation (cf. NACE CORE). Further activities may be covered on a voluntary basis. Most statistics are based on a reference period of three years, but some use one calendar year. Since CIS 2008, the survey has included an ad-hoc module. It consists of a set of questions focusing on a special theme. The themes are different in each survey wave, allowing data to be obtained on specific issues beyond the data usually collected. Overview over time: Initially, the CIS data collection was carried out every four years. The first collection (CIS Light) was launched in 1993 as a pilot exercise and the second (CIS2) was carried out in 1997/1998 for most countries except Greece and Ireland, where it was launched in 1999. The third survey (CIS3) was conducted in 2000/2001 for most participating countries with the exception of Norway, Iceland, Luxembourg and Greece, where it was launched in 2002. As from 2004, the survey has been carried out every two years. CIS4 was conducted in the 25 EU Member States (as for 2004), Iceland, Norway, Bulgaria and Romania. The survey was launched in 2005 with a three-year reference period 2002 to 2004 for most indicators. The fifth survey CIS 2006 was carried out in all 25 EU Member States (as for 2006), Norway, Bulgaria, Romania, Croatia and Turkey. It was launched in 2007, mostly for the reference period 2004 to 2006. As regards CIS 2008, 26 Member States (all except Greece), Iceland, Norway, Croatia and Turkey took part in the survey. CIS 2008 was launched in 2009 with a three-year reference period 2006 to 2008 for most indicators. Changes were made to the CIS 2008 questionnaire to bring it into line with the third revision of the Oslo Manual, 2005 edition, by giving greater weight to organisational and marketing innovation. CIS 2008 was complemented by an ad-hoc module on innovation with environmental benefits. The seventh Community Innovation Survey, CIS 2010, had 31 participating countries (all the EU 27 Member States (except Greece), Iceland, Norway, Croatia, Serbia and Turkey) and reported most results for the reference period 2008-2010. CIS 2010 also follows the recommendations of the Oslo Manual and reports indicators on four types of innovation: product, process, organisational and marketing. However, despite implementation of the recommendations of the third edition of the Oslo Manual, the question on innovation expenditures is still limited to product and process innovation in order to maintain continuity with earlier versions of the CIS. Furthermore, generally fewer questions are asked about organisational and marketing innovation than about product and process innovation. While the European innovation statistics use the aggregated national data, the microdata sets can be accessed by researchers via the SAFE Centre of Eurostat in Luxembourg or via the microdata on CD-ROM releases in more anonymised form; some countries also provide access to their micro-data at similar safe centres.
    • 3月 2009
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 01 6月, 2019
      データセットを選択
      The Community Innovation Survey (CIS) is a survey of innovation activity in enterprises. The harmonised survey is designed to provide information on the innovativeness of sectors by type of enterprises, on the different types of innovation and on various aspects of the development of an innovation, such as the objectives, the sources of information, the public funding or the expenditures. The CIS provides statistics broke down by countries, type of innovators, economic activities and size classes. The survey is currently carried out every two years across the European Union, some EFTA countries and EU candidate countries. In order to ensure comparability across countries, Eurostat, in close cooperation with the countries, has developed a standard core questionnaire starting with the CIS3 data collection, along with an accompanying set of definitions and methodological recommendations. The concepts and underlying methodology of the CIS are also based on the Oslo Manual — second edition of 1997 and third edition of 2005 (see link at the bottom of the page). Up to CIS 2010, CIS results were collected under Commission Regulation (EC) No 1450/2004. A new Regulation will apply from CIS 2012 (EC No 995/2012). The data presented in these tables refer to enterprises with ‘10 employees or more’ active in the sectors to be covered under the Regulation (cf. NACE CORE). Further activities may be covered on a voluntary basis. Most statistics are based on a reference period of three years, but some use one calendar year. Since CIS 2008, the survey has included an ad-hoc module. It consists of a set of questions focusing on a special theme. The themes are different in each survey wave, allowing data to be obtained on specific issues beyond the data usually collected. Overview over time: Initially, the CIS data collection was carried out every four years. The first collection (CIS Light) was launched in 1993 as a pilot exercise and the second (CIS2) was carried out in 1997/1998 for most countries except Greece and Ireland, where it was launched in 1999. The third survey (CIS3) was conducted in 2000/2001 for most participating countries with the exception of Norway, Iceland, Luxembourg and Greece, where it was launched in 2002. As from 2004, the survey has been carried out every two years. CIS4 was conducted in the 25 EU Member States (as for 2004), Iceland, Norway, Bulgaria and Romania. The survey was launched in 2005 with a three-year reference period 2002 to 2004 for most indicators. The fifth survey CIS 2006 was carried out in all 25 EU Member States (as for 2006), Norway, Bulgaria, Romania, Croatia and Turkey. It was launched in 2007, mostly for the reference period 2004 to 2006. As regards CIS 2008, 26 Member States (all except Greece), Iceland, Norway, Croatia and Turkey took part in the survey. CIS 2008 was launched in 2009 with a three-year reference period 2006 to 2008 for most indicators. Changes were made to the CIS 2008 questionnaire to bring it into line with the third revision of the Oslo Manual, 2005 edition, by giving greater weight to organisational and marketing innovation. CIS 2008 was complemented by an ad-hoc module on innovation with environmental benefits. The seventh Community Innovation Survey, CIS 2010, had 31 participating countries (all the EU 27 Member States (except Greece), Iceland, Norway, Croatia, Serbia and Turkey) and reported most results for the reference period 2008-2010. CIS 2010 also follows the recommendations of the Oslo Manual and reports indicators on four types of innovation: product, process, organisational and marketing. However, despite implementation of the recommendations of the third edition of the Oslo Manual, the question on innovation expenditures is still limited to product and process innovation in order to maintain continuity with earlier versions of the CIS. Furthermore, generally fewer questions are asked about organisational and marketing innovation than about product and process innovation. While the European innovation statistics use the aggregated national data, the microdata sets can be accessed by researchers via the SAFE Centre of Eurostat in Luxembourg or via the microdata on CD-ROM releases in more anonymised form; some countries also provide access to their micro-data at similar safe centres.
    • 4月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 24 4月, 2021
      データセットを選択
      The Community Innovation Survey (CIS) is a survey about innovation activities in enterprises. The survey is designed to provide information on the innovativeness of sectors by type of enterprises, on the different types of innovation and on various aspects of the development of an innovation, such as objectives, sources of information, public funding or expenditures. The CIS provides statistics broken down by countries, types of innovators, economic activities and size classes. The survey is currently carried out every two years across the European Union, EFTA countries and EU candidate countries. In order to ensure comparability across countries, Eurostat together with the countries developed a standard core questionnaire (see in Annex) accompanied by a set of definitions and methodological recommendations. CIS 2014 concepts and its underlying methodology are also based on the Oslo Manual (2005) 3rd edition (see link at the bottom of the page). CIS 2014 results were collected under Commission Regulation No 995/2012. This Regulation defines the mandatory target population of the survey referring to enterprises in the Core NACE categories (see section 3.3.) with at least 10 employees. Further activities may be covered on a voluntary basis in national datasets. Most statistics are based on the 3-year reference period 2012-2014, but some use only one calendar year (2012 or 2014). CIS 2014 includes an ad-hoc module on innovations with environmental benefits. While European innovation statistics use aggregated national data, the microdata sets can be consulted by researchers via the SAFE Centre of Eurostat in Luxembourg or via CD-ROM releases in a more anonymised form; some countries also provide access to their microdata through national Safe Centres. Since the provision of microdata is voluntary, microdatasets do not cover all countries.
    • 3月 2024
      ソース: Bank for International Settlements
      アップロード者: Knoema
      以下でアクセス: 29 3月, 2024
      データセットを選択
      The residential property price statistics collect data from different countries. The BIS has obtained permission from various national data providers, with the assistance of its member central banks, to disseminate these statistics. The topic ‘Property prices: Selected series,’ contains nominal and real quarterly values for 58 countries, both in levels and in growth rates (ie four series per country). Real series are the nominal price series deflated by the consumer price index. The BIS has made the selection based on the Handbook on Residential Property Prices and the experience and metadata of central banks.   Data cited at : https://www.bis.org/statistics/index.htm
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 14 4月, 2024
      データセットを選択
      Short-term statistics (STS) give information on a wide range of economic activities according to NACE Rev.2 classification (Statistical Classification of Economic Activities in the European Community). The industrial import price indices offer information according to the CPA classification (Statistical Classification of Products by Activity in the European Economic Community). Construction indices are broken down by Classification of Types of Construction (CC). All data under this heading are index data. Percentage changes are also available for each indicator. The index data are generally presented in the following forms:UnadjustedCalendar adjustedSeasonally adjusted Depending on the STS regulation data are accessible as monthly, quarterly and annual data. This heading covers the indicators listed below in four different sectors. Based on the national data, Eurostat compiles EU and euro area infra-annual economic statistics. Among these, a list of indicators, called Principal European Economic Indicators (PEEIs) has been identified by key users as being of prime importance for the conduct of monetary and economic policy of the euro area. These indicators are mainly released through Eurostat's website under the heading Euro-indicators. There are eight PEEIs contributed by STS and they are marked with * in the text below. INDUSTRYProduction (volume)*Turnover: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic turnover into euro area and non euro area is available for the euro area countriesProducer prices (output prices)*: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic producer prices into euro area and non euro area is available for the euro area countriesImport prices*: Total, Euro area market, Non euro area market (euro area countries only)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries CONSTRUCTIONProduction (volume)*: Total of the construction sector, Building construction, Civil EngineeringBuilding permits indicators*: Number of dwellings, Square meters of useful floor (or alternative size measure)Construction costs or prices: Construction costs, Material costs, Labour costs (if not available, they may be approximated by the Output prices variable)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries WHOLESALE AND RETAIL TRADEVolume of sales (deflated turnover)*Turnover (value)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries SERVICESTurnover (in value)*Labour input indicators: Number of persons employed, Hours worked, Gross wages and salariesProducer prices (Output prices )* National reference metadata of the reporting countries can be found in the Annexes of this metadata file.
    • 11月 2011
      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
      This collection provides users with data concerning R&D expenditure and R&D personnel broken down by following institutional sectors: business enterprise (BES), government (GOV), higher education (HES), private non-profit (PNP) with the total of sectors. All data are broken down by the above mentioned sectors of performance. The R&D expenditure is further broken down by source of funds, by type of costs, by economic activity (NACE Rev.2), by size class, by type of R&D, by fields of science, by socio-economic objectives and by regions (NUTS 2 level). Besides R&D expenditures in basic unit National currency (MIO_NAC) the following units are available: Euro (MIO_EUR), Euro per inhabitant (EUR_HAB) Purchasing Power Standard (MIO_PPS), Purchasing Power Standard at 2005 prices (MIO_PPS_KP05), Purchasing Power Standard per inhabitant at constant 2005 prices (PPS_KP05_HAB), Percentage of GDP (PC_GDP) and Percentage of total R&D expenditure (PC_TOT - for the breakdown by source of funds). R&D personnel data is available in full-time equivalent (FTE), in head count (HC), as a % of employment and as a % of labour force. The data is further broken down by occupation, by qualification, by gender, by size class, by citizenship, by age groups, by fields of science, by economic activity (NACE Rev.2) and by regions (NUTS 2 level). The periodicity of R&D data is biennial except for the key R&D indicators (R&D expenditure, R&D personnel and Researchers by sectors of performance) which are transmitted annually by the EU Member States on the basis of a legal obligation from 2003 onwards. Some other breakdowns of the data may appear on annual basis based on voluntary data provisions. The data are collected through sample or census surveys, from administrative registers or through a combination of sources. R&D data are available for following countries and country groups: - All EU Member States, plus Candidate Countries, EFTA Countries, the Russian Federation, China, Japan, the United States and South Korea. - Country groups: EU-28, EU-15 and EA-18. R&D data are compiled in accordance to the guidelines laid down in the Proposed standard practice for surveys of research and experimental development - Frascati Manual (FM), OECD, 2002 .
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2024
      データセットを選択
      This collection provides users with data concerning R&D expenditure and R&D personnel broken down by following institutional sectors: business enterprise (BES), government (GOV), higher education (HES), private non-profit (PNP) with the total of sectors. All data are broken down by the above mentioned sectors of performance. The R&D expenditure is further broken down by source of funds, by type of costs, by economic activity (NACE Rev.2), by size class, by type of R&D, by fields of science, by socio-economic objectives and by regions (NUTS 2 level). Besides R&D expenditures in basic unit National currency (MIO_NAC) the following units are available: Euro (MIO_EUR), Euro per inhabitant (EUR_HAB) Purchasing Power Standard (MIO_PPS), Purchasing Power Standard at 2005 prices (MIO_PPS_KP05), Purchasing Power Standard per inhabitant at constant 2005 prices (PPS_KP05_HAB), Percentage of GDP (PC_GDP) and Percentage of total R&D expenditure (PC_TOT - for the breakdown by source of funds). R&D personnel data is available in full-time equivalent (FTE), in head count (HC), as a % of employment and as a % of labour force. The data is further broken down by occupation, by qualification, by gender, by size class, by citizenship, by age groups, by fields of science, by economic activity (NACE Rev.2) and by regions (NUTS 2 level). The periodicity of R&D data is biennial except for the key R&D indicators (R&D expenditure, R&D personnel and Researchers by sectors of performance) which are transmitted annually by the EU Member States on the basis of a legal obligation from 2003 onwards. Some other breakdowns of the data may appear on annual basis based on voluntary data provisions. The data are collected through sample or census surveys, from administrative registers or through a combination of sources. R&D data are available for following countries and country groups: - All EU Member States, plus Candidate Countries, EFTA Countries, the Russian Federation, China, Japan, the United States and South Korea. - Country groups: EU-28, EU-15 and EA-18. R&D data are compiled in accordance to the guidelines laid down in the Proposed standard practice for surveys of research and experimental development - Frascati Manual (FM), OECD, 2002 .
    • 3月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 3月, 2021
      データセットを選択
      This collection provides users with data concerning R&D expenditure and R&D personnel broken down by following institutional sectors: business enterprise (BES), government (GOV), higher education (HES), private non-profit (PNP) with the total of sectors. All data are broken down by the above mentioned sectors of performance. The R&D expenditure is further broken down by source of funds, by type of costs, by economic activity (NACE Rev.2), by size class, by type of R&D, by fields of science, by socio-economic objectives and by regions (NUTS 2 level). Besides R&D expenditures in basic unit National currency (MIO_NAC) the following units are available: Euro (MIO_EUR), Euro per inhabitant (EUR_HAB) Purchasing Power Standard (MIO_PPS), Purchasing Power Standard at 2005 prices (MIO_PPS_KP05), Purchasing Power Standard per inhabitant at constant 2005 prices (PPS_KP05_HAB), Percentage of GDP (PC_GDP) and Percentage of total R&D expenditure (PC_TOT - for the breakdown by source of funds). R&D personnel data is available in full-time equivalent (FTE), in head count (HC), as a % of employment and as a % of labour force. The data is further broken down by occupation, by qualification, by gender, by size class, by citizenship, by age groups, by fields of science, by economic activity (NACE Rev.2) and by regions (NUTS 2 level). The periodicity of R&D data is biennial except for the key R&D indicators (R&D expenditure, R&D personnel and Researchers by sectors of performance) which are transmitted annually by the EU Member States on the basis of a legal obligation from 2003 onwards. Some other breakdowns of the data may appear on annual basis based on voluntary data provisions. The data are collected through sample or census surveys, from administrative registers or through a combination of sources. R&D data are available for following countries and country groups: - All EU Member States, plus Candidate Countries, EFTA Countries, the Russian Federation, China, Japan, the United States and South Korea. - Country groups: EU-28, EU-15 and EA-18. R&D data are compiled in accordance to the guidelines laid down in the Proposed standard practice for surveys of research and experimental development - Frascati Manual (FM), OECD, 2002 .
    • 11月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 11月, 2023
      データセットを選択
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 14 4月, 2024
      データセットを選択
  • C
    • 10月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 20 10月, 2016
      データセットを選択
      The focus of this domain is on enlargement countries, in other words the following country groups: candidate countries — Albania (AL), the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)potential candidates — Bosnia and Herzegovina (BA), as well as Kosovo (XK) (*) An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. (*) This designation is without prejudice to positions on status and is in line with UNSCR 1244 and the ICJ Opinion on the Kosovo declaration of independence.
    • 10月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 20 10月, 2016
      データセットを選択
      Eurostat Dataset Id:cpc_ecnacoi  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)
    • 3月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 3月, 2020
      データセットを選択
      Eurostat Dataset Id:cpc_ecbop  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)
    • 3月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 3月, 2020
      データセットを選択
      Eurostat Dataset Id:cpc_ecexint  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)
    • 10月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 20 10月, 2016
      データセットを選択
      Eurostat Dataset Id:cpc_ecnagdp  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)
    • 3月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 3月, 2020
      データセットを選択
      Eurostat Dataset Id:cpc_ecgov  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)
    • 10月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 20 10月, 2016
      データセットを選択
      Eurostat Dataset Id:cpc_ecmain  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)
    • 3月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 3月, 2020
      データセットを選択
      The focus of this domain is on enlargement countries, in other words the following country groups: candidate countries — Albania (AL), the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)potential candidates — Bosnia and Herzegovina (BA), as well as Kosovo (XK) (*) An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. (*) This designation is without prejudice to positions on status and is in line with UNSCR 1244 and the ICJ Opinion on the Kosovo declaration of independence.
    • 3月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 3月, 2020
      データセットを選択
      The focus of this domain is on enlargement countries, in other words the following country groups: candidate countries — Albania (AL), the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)potential candidates — Bosnia and Herzegovina (BA), as well as Kosovo (XK) (*) An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. (*) This designation is without prejudice to positions on status and is in line with UNSCR 1244 and the ICJ Opinion on the Kosovo declaration of independence.
    • 10月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 20 10月, 2016
      データセットを選択
      Eurostat Dataset Id:cpc_siecr  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)
    • 10月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 20 10月, 2016
      データセットを選択
      Eurostat Dataset Id:cpc_sigeb  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The Capital account covers all transactions that involve the receipt or payment of the capital account. It covers the Acquisitions/disposals of non-produced non-financial assets and capital transfers. The capital account together with the current and the financial accounts forms the Balance of Payments (BoP). It is either expressed as % of GDP or million of national currency. The financial flows are marked as a credit, a debit or a balance. The indicator is based on the Balance of Payments (BoP) data reported to Eurostat by the EU Member States. Definitions are based on the IMF's Sixth Balance of Payments Manual (BPM6).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The Capital account covers all transactions that involve the receipt or payment of the capital account. It covers the Acquisitions/disposals of non-produced non-financial assets and capital transfers. The data are either expressed as % of GDP or million of national currency. The financial flows are marked as a credit, a debit or a balance. The capital account together with the current and the financial accounts forms the Balance of Payments (BoP). The indicator is based on the Balance of Payments (BoP) data reported to Eurostat by the EU Member States. Starting from October 2014 definitions are based on the IMF's Sixth Balance of Payments Manual (BPM6).
    • 4月 2024
      ソース: Bank for International Settlements
      アップロード者: Knoema
      以下でアクセス: 10 4月, 2024
      データセットを選択
      Data cited at : https://www.bis.org/statistics/index.htm
    • 1月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 10 1月, 2024
      データセットを選択
      The circular material use rate (CMR) measures the share of material recovered and fed back into the economy in overall material use. The CMU is defined as the ratio of the circular use of material to the overall material use. The overall material use is measured by summing up the aggregate domestic material consumption (DMC) and the circular use of materials. DMC is defined in economy-wide material flow accounts. The circular use of materials is approximated by the amount of waste recycled in domestic recovery plants minus imported waste destined for recovery plus exported waste destined for recovery abroad. A higher CMU rate value means that more secondary materials substitute for primary raw materials thus reducing the environmental impacts of extracting primary material.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Compensation of employees (at current prices) is defined as the total remuneration, in cash or in kind, payable by an employer to an employee in return for work done by the latter during the accounting period. Compensation of employees consists of wages and salaries, and of employers' social contributions. The input data are obtained through official transmissions of national accounts' country data in the ESA 2010 transmission programme. The data are expressed in million national currency.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Compensation of employees (at current prices) is defined as the total remuneration, in cash or in kind, payable by an employer to an employee in return for work done by the latter during the accounting period. Compensation of employees consists of wages and salaries, and of employers' social contributions. The input data are obtained through official transmissions of national accounts' country data in the ESA 2010 transmission programme. The data are expressed in million national currency.
    • 3月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 29 3月, 2018
      データセットを選択
      Domestic material consumption (DMC) measures the total amount of materials directly used by an economy and is defined as the annual quantity of raw materials extracted from the domestic territory of the focal economy, plus all physical imports minus all physical exports. The indicator Domestic Material Consumption (DMC) is based on the Economy-wide Material Flow Accounts (EW-MFA). The theory of Economy-wide material flow accounts (EW-MFA) includes compilations of the overall material inputs into national economy, the changes of material stock within the economy and the material outputs to other economies or to the environment. EW-MFA covers all solid, gaseous, and liquid materials, except water and air. Water included in products is included. The three main components of the DMC are:   - the raw materials domestically extracted (domestic extraction);   - the total import;   - the total export. It is important to note that the term "consumption" as used in DMC denotes apparent consumption and not final consumption. DMC does not include upstream hidden flows (materials that are extracted or moved, but do not enter the economy) related to imports and exports of raw materials and products. The indicator provides a basis for policies to decouple the growth of the economy from the use of natural resources so as to achieve a reduction of environment degradation resulting from primary production, material processing, manufacturing and waste disposal. DMC is a useful indicator, as it provides an assessment of the absolute level of use of resources and allows distinguishing consumption driven by domestic demand from consumption driven by the export market. Combined with GDP, it also provides insight into whether decoupling between the use of natural resources and growth of the economy is taking place.   The indicator is a Sustainable Development Indicator (SDI). It has been chosen for the assessment of the progress towards the objectives and targets of the EU Sustainable Development Strategy.   tsdpc220´s table: Eurobase > Tables by themes > Environment and energy > Environment > Environmental accounts > Components of domestic material consumption (tsdpc220) tsdpc220´s table within the SDI set: Eurobase > Tables on EU policy > Sustainable Development Indicators > Sustainable consumption and production > Resource use and waste > Components of domestic material consumption (tsdpc220)
    • 1月 2024
      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: 13 1月, 2024
      データセットを選択
      Statistical population: CLIs are calculated for 33 OECD countries (Iceland is not included), 6 non-member economies and 8 zone aggregates. A country CLI comprises a set of component series selected from a wide range of key short-term economic indicators.   CLIs, reference series data (see below) and standardised business and consumer confidence indicators are presented in various forms.   Recommended uses and limitations: The composite leading indicator is a times series, formed by aggregating a variety of component indicators which show a reasonably consistent relationship with a reference series (e.g. industrial production IIP up to March 2012 and since then the reference series is GDP) at turning points. The OECD CLI is designed to provide qualitative information on short-term economic movements, especially at the turning points, rather than quantitative measures. Therefore, the main message of CLI movements over time is the increase or decrease, rather than the amplitude of the changes. The OECD’s headline indicator is the amplitude adjusted CLI. In practice, turning points in the de-trended reference series have been found about 4 to 8 months (on average) after the signals of turning points had been detected in the headline CLI.
    • 4月 2024
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2024
      データセットを選択
      Data cited at: Consumer price indexes, The International Monetary Fund Consumer price indexes (CPIs) are index numbers that measure changes in the prices of goods and services purchased or otherwise acquired by households, which households use directly, or indirectly, to satisfy their own needs and wants. In practice, most CPIs are calculated as weighted averages of the percentage price changes for a specified set, or ‘‘basket’’, of consumer products, the weights reflecting their relative importance in household consumption in some period. CPIs are widely used to index pensions and social security benefits. CPIs are also used to index other payments, such as interest payments or rents, or the prices of bonds. CPIs are also commonly used as a proxy for the general rate of inflation, even though they measure only consumer inflation. They are used by some governments or central banks to set inflation targets for purposes of monetary policy. The price data collected for CPI purposes can also be used to compile other indices, such as the price indices used to deflate household consumption expenditures in national accounts, or the purchasing power parities used to compare real levels of consumption in different countries.
    • 1月 2024
      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: 06 1月, 2024
      データセットを選択
      The 'Consumer Price Indices (CPIs)' contains all data that was previously contained in three different datasets: 'Consumer Prices', 'National Consumer Price Indices (CPIs) by COICOP divisions' and 'Harmonised Indices of Consumer Prices (HICPs) by COICOP divisions'. The 'Consumer Price Indices (CPIs)' dataset contains predominantly monthly statistics, and associated statistical methodological information, for the 36 OECD member countries and for some non-member countries. The ‘Consumer Price Indices (CPIs)' dataset contains statistics on Consumer Price Indices including national CPIs, Harmonised Indices of Consumer Prices (HICPs) and their associated weights and contributions to national annual inflation. The data series presented have been chosen as the most relevant prices statistics for which comparable data across countries is available. In all cases, a lot of effort has been made to ensure that the data are internationally comparable across all countries presented and that all the subjects have good historical time-series’ data to aid with analysis. Data are available monthly for all the countries except for Australia and New Zealand (quarterly data).
    • 12月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 14 12月, 2023
      データセットを選択
      Purchasing power parities (PPPs) are indicators of price level differences across countries. PPPs tell us how many currency units a given quantity of goods and services costs in different countries. PPPs can thus be used as currency conversion rates to convert expenditures expressed in national currencies into an artificial common currency (the Purchasing Power Standard, PPS), eliminating the effect of price level differences across countries. The main use of PPPs is to convert national accounts aggregates, like the Gross Domestic Product (GDP) of different countries, into comparable volume aggregates. Applying nominal exchange rates in this process would overestimate the GDP of countries with high price levels relative to countries with low price levels. The use of PPPs ensures that the GDP of all countries is valued at a uniform price level and thus reflects only differences in the actual volume of the economy. PPPs are also applied in analyses of relative price levels across countries. For this purpose, the PPPs are divided by the current nominal exchange rate to obtain a price level index (PLI) which expresses the price level of a given country relative to another, or relative to a group of countries like the EU28. The production of PPPs is a multilateral exercise involving the National Statistical Institutes of the participating countries, Eurostat and the OECD. Indicators in Eurostat's dissemination database The indicators published in the price domain on Eurostat's website are the following: Purchasing power parities (PPPs) scaled to the sum of expenditures of the EU Member States expressed in euro. This means that the PPP of one particular country indicates how many units of national currency one would need in that country in order to maintain the purchasing power of one euro in the EUPrice level indices (PLIs) as defined aboveNominal expenditure in national currency, as extracted from each country's national accountsNominal expenditure as percentage of GDPNominal expenditure in euroNominal expenditure per inhabitant in euroReal expenditure, defined as nominal expenditure divided by the PPPReal expenditure per inhabitantVolume indices of real expenditure per inhabitantThe convergence indicators, defined as the coefficient of variation of the price level indices (PLIs) and per capita volume indices (VIs) of gross domestic product (GDP), actual individual consumption (AIC) and household final consumption expenditure (HFCE). It measures the price and volume convergence across countries. In addition, PPPs and real expenditures are available from the national accounts domain of the database. For further details, cf. 17.1.
    • 1月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 03 1月, 2024
      データセットを選択
      For the countries belonging to the euro area, these are factors for converting euro fixed series (NAC) into euro/ECU series, and vice-versa.
    • 1月 2024
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 10 1月, 2024
      データセットを選択
      Data cited at: Coordinated Direct Investment Survey, The International Monetary Fund. The CDIS database presents detailed data on "inward" direct investment positions (i.e., direct investment into the reporting economy) cross-classified by economy of immediate investor, and data on "outward" direct investment positions (i.e., direct investment abroad by the reporting economy) cross-classified by economy of immediate investment. The CDIS database contains breakdowns of direct investment position data, including, in most instances, separate data on net equity and net debt positions, as well as tables that present "mirror" data (i.e., tables in which data from the reporting economy are shown side-by-side with the data obtained from all other counterpart reporting economies).
    • 3月 2024
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 24 3月, 2024
      データセットを選択
      Data cited at: Coordinated Portfolio Investment Survey (CPIS), The International Monetary Fund. The Coordinated Portfolio Investment Survey (CPIS) is a voluntary data collection exercise conducted under the auspices of the IMF. An economy provides data on its holdings of portfolio investment securities (data are separately requested for equity and investment fund shares, long-term debt instruments, and short-term debt instruments).   Worldwide portfolio holdings of equity and investment fund shares (31 USD trillion) at end-2017 surpasses holdings of debt securities (29.7 USD trillion). After the peak of the financial crisis in 2008, the annual growth rate of equity holdings has exceeded substantially that for debt securities holdings. That pattern is similar in all the economies with the largest cross border portfolio assets and liabilities. As per G20 emerging economies, while the holdings of equity and investment fund shares had already been consistently higher than those of debt securities, during the last five years the gap has widened even further.
    • 11月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 04 11月, 2023
      データセットを選択
      Correction coefficients (countries) are used to ensure equality of purchasing power of remuneration between different locations within the European Union and Belgium. Correction coefficients are calculated as the ratio between the "economic parity" and the exchange rate to the Euro (where applicable). They operate as a percentage adjustment to remuneration expressed in local currency.   As the correction coefficient is simply the economic parity divided by the exchange rate, it can be seen that the exchange rate effect cancels out and the economic parity is the appropriate conversion rate to convert amounts expressed in local currency into Euro and eliminate the effect of price level differences. The economic parity tells us how many currency units a given quantity of goods and services costs in different countries. The method used to establish economic parities is to compare the price of a basket of goods and services purchased by the average retired international official in Belgium with the price of an equivalent basket of goods and services purchased by the average retired international official in each of the other countries. To compile these prices, Eurostat carry out a number of detailed price surveys in cooperation with national statistical institutes. The same source data is used as for the similar exercise to establish correction coefficients for active staff in Intra-EU duty stations, however it is processed separately. For each item, the price ratio with Belgium is computed. Similar items are grouped into "basic headings", and a geometric mean of the price ratios is calculated to establish a basic heading parity. These basic heading parities are then aggregated to produce an overall parity. This aggregate is computed as a weighted arithmetic mean, using consumption expenditure pattern of international officials as weights.
    • 4月 2015
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 20 8月, 2015
      データセットを選択
      Global growth is forecast at 3.5 percent in 2015 and 3.8 percent in 2016, with uneven prospects across the main countries and regions of the world. The distribution of risks to near-term global growth has become more balanced relative to the October World Economic Outlook but is still tilted to the downside. The decline in oil prices could boost activity more than expected. Geopolitical tensions continue to pose threats, and risks of disruptive shifts in asset prices remain relevant. In some advanced economies, protracted low inflation or deflation also pose risks to activity. The chapter takes a region-by-region look at the recent development in the world economy and the outlook for 2015, with particular attention to notable development in countries within each region.
    • 2月 2024
      ソース: United Nations Economic Commission for Europe
      アップロード者: Knoema
      以下でアクセス: 20 2月, 2024
      データセットを選択
      Source: UNECE Statistical Database, compiled from national and international official sources. Area data exclude overseas departments and territories. For population footnotes click here. For life expectancy footnotes click here. For fertility rate footnotes click here. For population by marital status footnotes click here. For female members of parliament footnotes click here. For female government ministers footnotes click here. For female central bank board members footnotes click here. For female tertiary students footnotes click here. For economic activity rate footnotes click here. For gender pay gap footnotes click here. For employment growth rate footnotes click here. For unemployment rate footnotes click here. For youth unemployment rate footnotes click here. For employment by economic sector footnotes click here. For economic indicator footnotes click here. For road accident footnotes click here. For total length of motorways footnotes click here. For total length of railway lines footnotes click here. Key indicators in maps .. - data not availableIndicatorGDP in agriculture (ISIC4 A): output approach, index, 2010=100If the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP in industry (incl. construction) (ISIC4 B-F): output approach, index, 2010=100If the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP in services (ISIC4 G-U): output approach, index, 2010=100If the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP: in agriculture etc. (ISIC4 A), output approach, per cent share of GVAIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP: in industry etc. (ISIC4 B-E), output approach, per cent share of GVAIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP: in construction (ISIC4 F), output approach, per cent share of GVAIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP: in trade, hospitality, transport and communication (ISIC4 G-J), output approach, per cent share of GVAIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP: in finance and business services (ISIC4 K-N), output approach, per cent share of GVAIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP: in public administration, education and health (ISIC4 O-Q), output approach, per cent share of GVAIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP: in other service activities (ISIC4 R-U), output approach, per cent share of GVAIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.Employment in agriculture, hunting, forestry and fishing (ISIC Rev. 4 A), share of total employmentIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.Employment in industry and energy (ISIC Rev. 4 B-E), share of total employmentIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.Employment in construction (ISIC Rev. 4 F), share of total employmentIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.Employment in trade, hotels, restaurants, transport and communications (ISIC Rev. 4 G-J), share of total employmentIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.Employment in finance, real estate and business services (ISIC Rev. 4 K-N), share of total employmentIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.Employment in public administration, education and health (ISIC Rev. 4 O-Q), share of total employmentIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.Employment in other service activities (ISIC Rev. 4 R-U), share of total employmentIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.
    • 3月 2012
      ソース: Knoema
      アップロード者: Knoema
      データセットを選択
      Country Risk Assessment Database, 2012. Source: Multiple Sources - EuroStat, WB, IMF, OECD, UNCTAD
    • 4月 2024
      ソース: Bank for International Settlements
      アップロード者: Knoema
      以下でアクセス: 01 4月, 2024
      データセットを選択
      The data set on credit to the non-financial sector captures borrowing activity by the government sector and the private non-financial sector in more than 40 economies. Quarterly data on credit to the government sector cover on average 20 years, while those on credit to the private non-financial sector on average more than 45 years. The statistics follow the framework of the System of National Accounts.   Data cited at: Bank for International Settlements (2024), Credit to the non-financial sector, BIS WS_TC 2.0 (data set), https://data.bis.org/topics/TOTAL_CREDIT/data.
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 27 3月, 2024
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a geographical region during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services, a component of BoP current account, and data on Foreign Direct Investment, a component of BoP financial account, are used to monitor the external commercial performance of different economies. Outward Foreign Affiliates Statistics (FATS) measure the commercial presence, as defined by the General Agreement on Trade in Services (GATS), through affiliates in foreign markets. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports.  Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU or in millions of national currency. Balance of Payments data coverage varies according to the collection. Some collections refer only to Euro area or EU countries, while some others' coverage includes also EU partner countries.   Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide 2003. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.    More information on BoP is available for each specific collection: Quarterly BoP, ITS, FDI, Outward FATS, BoP of EU Institutions.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a geographical region during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services, a component of BoP current account, and data on Foreign Direct Investment, a component of BoP financial account, are used to monitor the external commercial performance of different economies. Outward Foreign Affiliates Statistics (FATS) measure the commercial presence, as defined by the General Agreement on Trade in Services (GATS), through affiliates in foreign markets. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports.  Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU or in millions of national currency. Balance of Payments data coverage varies according to the collection. Some collections refer only to Euro area or EU countries, while some others' coverage includes also EU partner countries.   Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide 2003. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.    More information on BoP is available for each specific collection: Quarterly BoP, ITS, FDI, Outward FATS, BoP of EU Institutions.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The Current account provides information about the transactions of a country with the rest of the world. It covers all transactions (other than those in financial items) in goods, services, primary income and secondary income which occur between resident and non-resident units. It is either expressed as % of GDP or million of national currency. The financial flows are marked as a credit, a debit or a balance. The current account together with the capital and the financial accounts forms the Balance of Payments (BoP). The MIP scoreboard indicator is the three-year backward moving average of the current account balance expressed in percent of GDP and calculated as: [[(CAt/GDPt)+(CAt-1/GDPt-1)+(CAt-2/GDPt-2)]/3]*100 The indicative thresholds for the indicator are of +6% and -4%. The indicator is based on the BoP data reported to Eurostat by the EU Member States. Starting from October 2014 definitions are based on the Sixth Edition of the IMF's Balance of Payments and International Investment Position Manual (BPM6).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The Current account provides information about the transactions of a country with the rest of the world. It covers all transactions (other than those in financial items) in goods, services, primary income and secondary income which occur between resident and non-resident units. It is either expressed as % of GDP or million of national currency. The financial flows are marked as a credit, a debit or a balance. The current account together with the capital and the financial accounts forms the Balance of Payments (BoP). The indicator is based on the BoP data reported to Eurostat by the EU Member States. Starting from October 2014 definitions are based on the IMF's Sixth Balance of Payments Manual (BPM6)
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The Current account provides information about the transactions of a country with the rest of the world. It covers all transactions (other than those in financial items) in goods, services, primary income, and secondary income which occur between resident and non-resident units. It is either expressed as % of GDP or million units of national currency. The financial flows are marked as a credit, a debit or a net balance. The current account together with the capital and the financial accounts forms the Balance of Payments (BoP). The indicator is based on the BoP data reported to Eurostat by the EU Member States. Starting from October 2014 definitions are based on the IMF's Sixth Balance of Payments Manual (BPM6).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The balance of payments is a record of a country's international transactions with the rest of the world. It is composed of the current account and the capital and financial account. The current account is itself subdivided into goods, services, income and current transfers; it registers the value of exports (credits) and imports (debits). The difference between these two values is the "balance".
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The balance of payments is a record of a country's international transactions with the rest of the world. The balance of payments is composed of two broad sub-balances: the current account and the capital and financial account. The current account is itself subdivided into four basic components: goods, services, income and current transfers. For each of these items, the current account registers the value of exports (credits) and imports (debits). The difference between these two values is the "balance".
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The balance of payments is a record of a country's international transactions with the rest of the world. The balance of payments is composed by two broad sub-balances: the current account and the capital and financial account. The current account is itself subdivided into four basic components: goods, services, income and current transfers. For each of these items, the current account registers the value of exports (credits) and imports (debits). The difference between these two values is the balance.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The balance of payments is a record of a country's international transactions with the rest of the world. It is composed of the current account and the capital and financial account. The current account is itself subdivided into goods, services, income and current transfers; it registers the value of exports (credits) and imports (debits). The difference between these two values is the "balance".
    • 6月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 8月, 2016
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The Current account provides information about the transactions of a country with the rest of the world. It covers all transactions (other than those in financial items) in goods, services, primary income, and secondary income which occur between resident and non-resident units. The data are expressed as % of GDP. The financial flows are marked as a credit, a debit or a net balance. The current account together with the capital and the financial accounts forms the Balance of Payments (BoP). The indicator is based on the BoP data reported to Eurostat by the EU Member States. Definitions are based on the IMF's Sixth Balance of Payments Manual (BPM6).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The Current account provides information about the transactions of a country with the rest of the world. It covers all transactions (other than those in financial items) in goods, services, primary income, and secondary income which occur between resident and non-resident units. The data are expressed as % of GDP. The financial flows are marked as a credit, a debit or a balance. The current account together with the capital and the financial accounts forms the Balance of Payments (BoP). The indicator is based on the BoP data reported to Eurostat by the EU Member States. Starting from October 2014 definitions are based on the IMF's Sixth Balance of Payments Manual (BPM6).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The Current account provides information about the transactions of a country with the rest of the world. It covers all transactions (other than those in financial items) in goods, services, primary income, and secondary income which occur between resident and non-resident units. The data are expressed as % of GDP. The financial flows are marked as a credit, a debit or a net balance. The current account together with the capital and the financial accounts forms the Balance of Payments (BoP). The indicator is based on the BoP data reported to Eurostat by the EU Member States. Definitions are based on the IMF's Sixth Balance of Payments Manual (BPM6).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The Current account provides information about the transactions of a country with the rest of the world. It covers all transactions (other than those in financial items) in goods, services, primary income, and secondary income which occur between resident and non-resident units. The data are expressed as % of GDP. The financial flows are marked as a credit, a debit or a balance. The current account together with the capital and the financial accounts forms the Balance of Payments (BoP). The indicator is based on the BoP data reported to Eurostat by the EU Member States. Starting from October 2014 definitions are based on the IMF's Sixth Balance of Payments Manual (BPM6).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The Current account provides information about the transactions of a country with the rest of the world. It covers all transactions (other than those in financial items) in goods, services, primary income, and secondary income which occur between resident and non-resident units. The data are expressed as % of GDP. The financial flows are marked as a credit, a debit or a net balance. The current account together with the capital and the financial accounts forms the Balance of Payments (BoP). The indicator is based on the BoP data reported to Eurostat by the EU Member States. Definitions are based on the IMF's Sixth Balance of Payments Manual (BPM6).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The Current account provides information about the transactions of a country with the rest of the world. It covers all transactions (other than those in financial items) in goods, services, primary income, and secondary income which occur between resident and non-resident units. The data are expressed as % of GDP. The financial flows are marked as a credit, a debit or a balance. The current account together with the capital and the financial accounts forms the Balance of Payments (BoP). The indicator is based on the BoP data reported to Eurostat by the EU Member States. Starting from October 2014 definitions are based on the IMF's Sixth Balance of Payments Manual (BPM6).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2024
      データセットを選択
      The Current account provides information about the transactions of a country with the rest of the world. It covers all transactions (other than those in financial items) in goods, services, primary income, and secondary income which occur between resident and non-resident units. The data are expressed in Million units of national currency. The financial flows are marked as a credit, a debit or a balance. The current account together with the capital and the financial accounts forms the Balance of Payments (BoP). The indicator is based on the BoP data reported to Eurostat by the EU Member States. Starting from October 2014 definitions are based on the IMF's Sixth Balance of Payments Manual (BPM6).
    • 2月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 2月, 2023
      データセットを選択
      Current taxes on income, wealth, etc. (ESA 2010 code D.5) cover all compulsory, unrequited payments, in cash or in kind, levied periodically by general government and by the rest of the world on the income and wealth of institutional units, and some periodic taxes which are assessed neither on that income nor that wealth. In ESA 2010, current taxes on income, wealth, etc. are divided into taxes on income and other current taxes.
  • D
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      データセットを選択
      Euro-zone series: Until December 1998 it is an aggregate of interbank deposit bid rates weighted by country GDP (Gross Domestic Product). Thereafter the rate is the EONIA (Euro OverNight Index Average), the effective overnight reference rate for the euro, computed as a weighted average of all overnight unsecured lending transactions in the interbank market, initiated within the euro area by the contributing panel banks. EONIA is computed with the help of the European Central Bank. EU15 series: Until December 1998, this is a theoretical rate based on an aggregation of day-to-day rates weighted by country GDP. Thereafter the rate is an average of the EONIA and the rates of the non-euro-zone countries, weighted by country GDP. National series: broadly speaking, these are day-to-day interbank rates. Source: European Central Bank.
    • 12月 2023
      ソース: Bank for International Settlements
      アップロード者: Knoema
      以下でアクセス: 05 12月, 2023
      データセットを選択
      Data cited at : https://www.bis.org/statistics/index.htm
    • 3月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 27 4月, 2014
      データセットを選択
      Eurostat Dataset Id:med_ec7 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â
    • 2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
    • 12月 2020
      ソース: The Fletcher School,Tufts University
      アップロード者: Knoema
      以下でアクセス: 22 12月, 2020
      データセットを選択
      Digital Intelligence Index (DII) is an interactive research platform of scorecards built to provide evidence-driven, actionable insights on how to enhance digital competitiveness, nurture trust in the digital economy, and foster responsible use of data, AI, and other advanced technologies for enhanced productivity and the greater good. The scorecards and the insights of the DII are meant to inform decision making by technologists, innovators, investors, policymakers, and business leaders on our collective journey from a digital present towards a data-enriched, inclusive, artificial intelligence-augmented future. The current index encompasses the third edition of the Digital Evolution scorecard, following up on our earlier editions (in 2017 and 2014) and the second edition of our Digital Trust scorecard. It paints a picture of global digital development, sheds insight on key factors driving change and momentum, and unpacks the impact digital trust and digital evolution have on a country’s digital competitiveness. This edition of the DII offers data, insights, and international comparisons to guide decision-makers to chart a path out of the pandemic-induced economic challenges of 2020 and toward a data-enabled, artificial intelligence-augmented, and inclusive digital future.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The international investment position (IIP) is a statistical statement that shows at a point in time the value and composition of: -financial assets of residents of an economy that are claims on non-residents and gold bullion held as reserve assets, and -liabilities of residents of an economy to non-residents. The difference between an economy’s external financial assets and liabilities is the economy’s net IIP, which may be positive or negative. According to the functional category, the cross-border financial positions are classified as: 1) For the assets - Direct investment; Portfolio investment; Financial derivatives and employee stock options ; Other investment and Reserve assets 2) For the liabilities - Direct investment; Portfolio investment; Financial derivatives and employee stock options and Other investment The financial positions are further classified according the different instruments. The data on direct investment are expressed in million units of national currency. The indicator is based on the Eurostat data from the Balance of payment statistics, these data are quaterly reported to the ECB by the EU Member States. Definitions are based on the IMF Sixth Balance of Payments Manual (BPM6).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The international investment position (IIP) is a statistical statement that shows at a point in time the value and composition of: -financial assets of residents of an economy that are claims on non-residents and gold bullion held as reserve assets, and -liabilities of residents of an economy to non-residents. The difference between an economy’s external financial assets and liabilities is the economy’s net IIP, which may be positive or negative. According to the functional category, the cross-border financial positions are classified as: 1) For the assets - Direct investment; Portfolio investment; Financial derivatives and employee stock options ; Other investment and Reserve assets 2) For the liabilities - Direct investment; Portfolio investment; Financial derivatives and employee stock options and Other investment The financial positions are further classified according the different instruments. The data on direct investment are expressed in million units of national currency. The indicator is based on the Eurostat data from the Balance of payment statistics, these data are quaterly reported to the ECB by the EU Member States. Definitions are based on the IMF Sixth Balance of Payments Manual (BPM6).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Foreign direct investment (FDI) is a category of investment that reflects the objective of establishing a lasting interest by a resident enterprise in one economy (direct investor) in an enterprise (direct investment enterprise) that is resident in an economy other than that of the direct investor. The lasting interest implies the existence of a long-term relationship between the direct investor and the direct investment enterprise and a significant degree of influence on the management of the enterprise. The lasting interest is deemed to exist if the investor acquires at least 10% of the voting power of the direct investment enterprise. Data are expressed as % of GDP to remove the effect of differences in the size of the economies of the reporting countries. FDI comprises: - Equity capital comprises equity in branches as well as all shares in subsidiaries and associates. - Reinvested earnings consist of the offsetting entry to the direct investor’s share of earnings not distributed as dividends by subsidiaries or associates, and earnings of branches not remitted to the direct investor and which are recorded under Investment income. - debt instruments Direct investment is classified primarily on a directional basis: 1) Resident direct investment abroad (Outward direct investment) 2) Non-resident investment in the reporting economy (Inward direct investment). The Inward direct investment is investment by a non-resident direct investor in a direct investment enterprise resident in the host economy; the direction of the influence by the direct investor is inward for the reporting economy. Starting from October 2014 definitions are based on the IMF's Sixth Balance of Payments Manual (BPM6).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2024
      データセットを選択
      Foreign direct investment (FDI) is a category of investment that reflects the objective of establishing a lasting interest by a resident enterprise in one economy (direct investor) in an enterprise (direct investment enterprise) that is resident in an economy other than that of the direct investor. The lasting interest implies the existence of a long-term relationship between the direct investor and the direct investment enterprise and a significant degree of influence on the management of the enterprise. The lasting interest is deemed to exist if the investor acquires at least 10% of the voting power of the direct investment enterprise. Data are expressed in millions of national currency. FDI comprises: - Equity capital comprises equity in branches as well as all shares in subsidiaries and associates. - Reinvested earnings consist of the offsetting entry to the direct investor’s share of earnings not distributed as dividends by subsidiaries or associates, and earnings of branches not remitted to the direct investor and which are recorded under Investment income. - debt instruments Direct investment is classified primarily on a directional basis: 1) Resident direct investment abroad (Outward direct investment) 2) Non-resident investment in the reporting economy (Inward direct investment). The Inward direct investment is investment by a non-resident direct investor in a direct investment enterprise resident in the host economy; the direction of the influence by the direct investor is inward for the reporting economy. Starting from October 2014 definitions are based on the IMF's Sixth Balance of Payments Manual (BPM6).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The international investment position (IIP) is a statistical statement that shows at a point in time the value and composition of: -financial assets of residents of an economy that are claims on non-residents and gold bullion held as reserve assets, and -liabilities of residents of an economy to non-residents. The difference between an economy’s external financial assets and liabilities is the economy’s net IIP, which may be positive or negative. According to the functional category, the cross-border financial positions are classified as: 1) For the assets - Direct investment; Portfolio investment; Financial derivatives and employee stock options ; Other investment and Reserve assets 2) For the liabilities - Direct investment; Portfolio investment; Financial derivatives and employee stock options and Other investment The financial positions are further classified according the different instruments. The data on direct investment are expressed in million units of national currency. The indicator is based on the Eurostat data from the Balance of payment statistics, these data are quaterly reported to the ECB by the EU Member States. Definitions are based on the IMF Sixth Balance of Payments Manual (BPM6).
    • 11月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 30 11月, 2017
      データセットを選択
      Eurostat uses as a base for its work the OECD Benchmark Definition of Foreign Direct Investment Third Edition, a detailed operational definition fully consistent with the IMF Balance of Payments Manual, Fifth Edition, BPM5. Foreign direct investment (FDI) is the category of international investment made by an entity resident in one economy (direct investor) to acquire a lasting interest in an enterprise operating in another economy (direct investment enterprise). The lasting interest is deemed to exist if the direct investor acquires at least 10% of the voting power of the direct investment enterprise. FDI statistics record separately: 1) Inward FDI (or FDI in the reporting economy), namely investment by foreigners in enterprises resident in the reporting economy. 2) Outward FDI (or FDIabroad), namely investment by residents entities in affiliated enterprises abroad. FDI statistics record both the initial investment and all subsequent investment made by the direct investor, either in the form of equity capital, or in the form of loans, or in the form of reinvesting earnings. Investment made through other affiliated enterprises of the same group of the direct investor should also be recorded according to the international methodology. There are three main indicators: FDI flows, stocks and income. The indicators described in more detail below are presented in the complete tables with a breakdown by partner country or region and a breakdown by the kind of activity in which FDI is made. In the table called "Main indicators" there is a reduced breakdown by partners and data for total activity only. See the part on classification system for more detail. See also the User's guideon the structure on the database and for practical information on data downloading. 1) FDI flows denote the new investment made during the period. FDI flows are recorded in the Balance of Payments financial account. Total FDI flows are broken down by kind of instrument used for making the investment: Equity capital comprises equity in branches, all shares in subsidiaries and associates (except non-participating, preferred shares that are treated as debt securities and are included under other FDI capital) and other contributions such as the provision of machinery. Reinvested earnings consist of the direct investor's share (in proportion to equity participation) of earnings not distributed by the direct investment enterprise. Reinvested earnings are an imputed transaction. Reinvested earnings are also recorded with opposite sign among FDI income (see below). This recording represents not distributed income as being earned by the direct investor and reinvested in the direct investment enterprise at the same time. Other FDI capital (loans) covers the borrowing and lending of funds, including debt securities and trade credits between direct investors and direct investment enterprises. Debt transactions between affiliated financial intermediaries recorded under direct investment flows are limited to permanent debt. 2) FDI stocks (or positions) denote the value of the investment at the end of the period. FDI stocks are recorded in the International Investment Position. Outward FDI stocks are recorded as assets of the reporting economy, inward FDI stocks as liabilities. Similarly with flows, FDI stocks are broken down by kind of instrument. However, there are only two categories instead of three: Equity capital and reinvested earnings is the value of the own capital of the enterprise, including the value of own reserves that are accumulated from past reinvested earnings. Reserves corresponding to reinvested earnings are not shown separately from other equity capital as in the case of flows. Other FDI capital is the stock of debts (assets or liabilities) between the direct investors and the direct investment enterprise. 3) FDI income is the income accruing to direct investors during the period. FDI income is recorded in the current account of the Balance of Payments. Total FDI income is broken down by kind of income. The categories of FDI income available are linked to the breakdown of FDI flows and stocks by kind of instrument, namely: Dividends Dividends payable in the period and branch profits remitted to the direct investor, gross of any withholding taxes. Dividends include payments due on common and preferred shares. Reinvested earnings See definition under FDI flows. Interest on loans Interest accrued in the period on loans (other FDI capital) with affiliated enterprises, gross of any withholding tax. 4) FDI intensity Out of FDI annual data, an indicator useful to measure EU market integration is also calculated and disseminated in the domain Structural Indicators: FDI intensity as % of GDP: Average of inward and outward FDI flows divided by GDP. A higher index indicates higher new FDI during the period in relation to the size of the economy as measured by GDP. If this index increases over time, then the country/zone is becoming more integrated with the international economy.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Foreign direct investment (FDI) is a category of investment that reflects the objective of establishing a lasting interest by a resident enterprise in one economy (direct investor) in an enterprise (direct investment enterprise) that is resident in an economy other than that of the direct investor. The lasting interest implies the existence of a long-term relationship between the direct investor and the direct investment enterprise and a significant degree of influence on the management of the enterprise. The lasting interest is deemed to exist if the investor acquires at least 10% of the voting power of the direct investment enterprise. Data are expressed as % of GDP to remove the effect of differences in the size of the economies of the reporting countries. FDI comprises: - Equity capital comprises equity in branches as well as all shares in subsidiaries and associates. - Reinvested earnings consist of the offsetting entry to the direct investor’s share of earnings not distributed as dividends by subsidiaries or associates, and earnings of branches not remitted to the direct investor and which are recorded under Investment income. - Debt instruments Direct investment is classified primarily on a directional basis: 1) Resident direct investment abroad (Outward direct investment) 2) Non-resident investment in the reporting economy (Inward direct investment). The Inward direct investment is investment by a non-resident direct investor in a direct investment enterprise resident in the host economy; the direction of the influence by the direct investor is inward for the reporting economy. Starting from October 2014 definitions are based on the IMF's Sixth Balance of Payments Manual (BPM6).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Foreign direct investment (FDI) is a category of investment that reflects the objective of establishing a lasting interest by a resident enterprise in one economy (direct investor) in an enterprise (direct investment enterprise) that is resident in an economy other than that of the direct investor. The lasting interest implies the existence of a long-term relationship between the direct investor and the direct investment enterprise and a significant degree of influence on the management of the enterprise. The lasting interest is deemed to exist if the investor acquires at least 10% of the voting power of the direct investment enterprise. FDI flows comprise: - Equity capital including equity in branches as well as all shares in subsidiaries and associates; - Reinvested earnings consisting of the offsetting entry to the direct investor’s share of earnings not distributed as dividends by subsidiaries or associates, and earnings of branches not remitted to the direct investor and which are recorded under Investment income; - Debt instruments Data are presented according to the asset/liability principle, compiled in the framework of balance of payments and are consistent with the components of national accounts statistics. Inward FDI flows represent the value of FDI liabilities from all countries of the world in the reporting economy in the reference period. Data are expressed as % of GDP to remove the effect of differences in the size of the economies of the reporting countries. Definitions are based on the IMF's Sixth Balance of Payments Manual (BPM6).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Foreign direct investment (FDI) is the category of investment made by an entity resident in an economy (direct investor) to acquire a lasting interest in an entity operating in an economy other than that of the investor (direct investment enterprise). The lasting interest implies the existence of a long-term relationship between the direct investor and the direct investment enterprise and a significant degree of influence on the management of the enterprise. The lasting interest is deemed to exist if the investor acquires at least 10% of the voting power of the direct investment enterprise. FDI stocks comprise: - Equity capital including equity in branches as well as all shares in subsidiaries and associates. - Debt instruments Data are presented according to the asset/liability principle, compiled in the framework of international investment position and are consistent with the components of national accounts statistics. Inward FDI stocks are the value of FDI liabilities from all countries of the world in the reporting economy at the end of the reference period. Data are expressed as percentage of GDP to remove the effect of differences in the size of the economies of the reporting countries. Definitions are based on the IMF's Sixth Balance of Payments Manual (BPM6).
    • 11月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 01 12月, 2017
      データセットを選択
      Eurostat uses as a base for its work the OECD Benchmark Definition of Foreign Direct Investment Third Edition, a detailed operational definition fully consistent with the IMF Balance of Payments Manual, Fifth Edition, BPM5. Foreign direct investment (FDI) is the category of international investment made by an entity resident in one economy (direct investor) to acquire a lasting interest in an enterprise operating in another economy (direct investment enterprise). The lasting interest is deemed to exist if the direct investor acquires at least 10% of the voting power of the direct investment enterprise. FDI statistics record separately: 1) Inward FDI (or FDI in the reporting economy), namely investment by foreigners in enterprises resident in the reporting economy. 2) Outward FDI (or FDIabroad), namely investment by residents entities in affiliated enterprises abroad. FDI statistics record both the initial investment and all subsequent investment made by the direct investor, either in the form of equity capital, or in the form of loans, or in the form of reinvesting earnings. Investment made through other affiliated enterprises of the same group of the direct investor should also be recorded according to the international methodology. There are three main indicators: FDI flows, stocks and income. The indicators described in more detail below are presented in the complete tables with a breakdown by partner country or region and a breakdown by the kind of activity in which FDI is made. In the table called "Main indicators" there is a reduced breakdown by partners and data for total activity only. See the part on classification system for more detail. See also the User's guideon the structure on the database and for practical information on data downloading. 1) FDI flows denote the new investment made during the period. FDI flows are recorded in the Balance of Payments financial account. Total FDI flows are broken down by kind of instrument used for making the investment: Equity capital comprises equity in branches, all shares in subsidiaries and associates (except non-participating, preferred shares that are treated as debt securities and are included under other FDI capital) and other contributions such as the provision of machinery. Reinvested earnings consist of the direct investor's share (in proportion to equity participation) of earnings not distributed by the direct investment enterprise. Reinvested earnings are an imputed transaction. Reinvested earnings are also recorded with opposite sign among FDI income (see below). This recording represents not distributed income as being earned by the direct investor and reinvested in the direct investment enterprise at the same time. Other FDI capital (loans) covers the borrowing and lending of funds, including debt securities and trade credits between direct investors and direct investment enterprises. Debt transactions between affiliated financial intermediaries recorded under direct investment flows are limited to permanent debt. 2) FDI stocks (or positions) denote the value of the investment at the end of the period. FDI stocks are recorded in the International Investment Position. Outward FDI stocks are recorded as assets of the reporting economy, inward FDI stocks as liabilities. Similarly with flows, FDI stocks are broken down by kind of instrument. However, there are only two categories instead of three: Equity capital and reinvested earnings is the value of the own capital of the enterprise, including the value of own reserves that are accumulated from past reinvested earnings. Reserves corresponding to reinvested earnings are not shown separately from other equity capital as in the case of flows. Other FDI capital is the stock of debts (assets or liabilities) between the direct investors and the direct investment enterprise. 3) FDI income is the income accruing to direct investors during the period. FDI income is recorded in the current account of the Balance of Payments. Total FDI income is broken down by kind of income. The categories of FDI income available are linked to the breakdown of FDI flows and stocks by kind of instrument, namely: Dividends Dividends payable in the period and branch profits remitted to the direct investor, gross of any withholding taxes. Dividends include payments due on common and preferred shares. Reinvested earnings See definition under FDI flows. Interest on loans Interest accrued in the period on loans (other FDI capital) with affiliated enterprises, gross of any withholding tax. 4) FDI intensity Out of FDI annual data, an indicator useful to measure EU market integration is also calculated and disseminated in the domain Structural Indicators: FDI intensity as % of GDP: Average of inward and outward FDI flows divided by GDP. A higher index indicates higher new FDI during the period in relation to the size of the economy as measured by GDP. If this index increases over time, then the country/zone is becoming more integrated with the international economy.
    • 11月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 01 12月, 2017
      データセットを選択
      Eurostat uses as a base for its work the OECD Benchmark Definition of Foreign Direct Investment Third Edition, a detailed operational definition fully consistent with the IMF Balance of Payments Manual, Fifth Edition, BPM5. Foreign direct investment (FDI) is the category of international investment made by an entity resident in one economy (direct investor) to acquire a lasting interest in an enterprise operating in another economy (direct investment enterprise). The lasting interest is deemed to exist if the direct investor acquires at least 10% of the voting power of the direct investment enterprise. FDI statistics record separately: 1) Inward FDI (or FDI in the reporting economy), namely investment by foreigners in enterprises resident in the reporting economy. 2) Outward FDI (or FDIabroad), namely investment by residents entities in affiliated enterprises abroad. FDI statistics record both the initial investment and all subsequent investment made by the direct investor, either in the form of equity capital, or in the form of loans, or in the form of reinvesting earnings. Investment made through other affiliated enterprises of the same group of the direct investor should also be recorded according to the international methodology. There are three main indicators: FDI flows, stocks and income. The indicators described in more detail below are presented in the complete tables with a breakdown by partner country or region and a breakdown by the kind of activity in which FDI is made. In the table called "Main indicators" there is a reduced breakdown by partners and data for total activity only. See the part on classification system for more detail. See also the User's guideon the structure on the database and for practical information on data downloading. 1) FDI flows denote the new investment made during the period. FDI flows are recorded in the Balance of Payments financial account. Total FDI flows are broken down by kind of instrument used for making the investment: Equity capital comprises equity in branches, all shares in subsidiaries and associates (except non-participating, preferred shares that are treated as debt securities and are included under other FDI capital) and other contributions such as the provision of machinery. Reinvested earnings consist of the direct investor's share (in proportion to equity participation) of earnings not distributed by the direct investment enterprise. Reinvested earnings are an imputed transaction. Reinvested earnings are also recorded with opposite sign among FDI income (see below). This recording represents not distributed income as being earned by the direct investor and reinvested in the direct investment enterprise at the same time. Other FDI capital (loans) covers the borrowing and lending of funds, including debt securities and trade credits between direct investors and direct investment enterprises. Debt transactions between affiliated financial intermediaries recorded under direct investment flows are limited to permanent debt. 2) FDI stocks (or positions) denote the value of the investment at the end of the period. FDI stocks are recorded in the International Investment Position. Outward FDI stocks are recorded as assets of the reporting economy, inward FDI stocks as liabilities. Similarly with flows, FDI stocks are broken down by kind of instrument. However, there are only two categories instead of three: Equity capital and reinvested earnings is the value of the own capital of the enterprise, including the value of own reserves that are accumulated from past reinvested earnings. Reserves corresponding to reinvested earnings are not shown separately from other equity capital as in the case of flows. Other FDI capital is the stock of debts (assets or liabilities) between the direct investors and the direct investment enterprise. 3) FDI income is the income accruing to direct investors during the period. FDI income is recorded in the current account of the Balance of Payments. Total FDI income is broken down by kind of income. The categories of FDI income available are linked to the breakdown of FDI flows and stocks by kind of instrument, namely: Dividends Dividends payable in the period and branch profits remitted to the direct investor, gross of any withholding taxes. Dividends include payments due on common and preferred shares. Reinvested earnings See definition under FDI flows. Interest on loans Interest accrued in the period on loans (other FDI capital) with affiliated enterprises, gross of any withholding tax. 4) FDI intensity Out of FDI annual data, an indicator useful to measure EU market integration is also calculated and disseminated in the domain Structural Indicators: FDI intensity as % of GDP: Average of inward and outward FDI flows divided by GDP. A higher index indicates higher new FDI during the period in relation to the size of the economy as measured by GDP. If this index increases over time, then the country/zone is becoming more integrated with the international economy.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The international investment position (IIP) is a statistical statement that shows at a point in time the value and composition of: -financial assets of residents of an economy that are claims on non-residents and gold bullion held as reserve assets, and -liabilities of residents of an economy to non-residents. The difference between an economy’s external financial assets and liabilities is the economy’s net IIP, which may be positive or negative. According to the functional category, the cross-border financial positions are classified as: 1) For the assets - Direct investment; Portfolio investment; Financial derivatives and employee stock options ; Other investment and Reserve assets 2) For the liabilities - Direct investment; Portfolio investment; Financial derivatives and employee stock options and Other investment The financial positions are further classified according the different instruments. The data on direct investment are expressed in million units of national currency. The indicator is based on the Eurostat data from the Balance of payment statistics, these data are quaterly reported to the ECB by the EU Member States. Definitions are based on the IMF Sixth Balance of Payments Manual (BPM6).
    • 11月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 01 12月, 2017
      データセットを選択
      Eurostat uses as a base for its work the OECD Benchmark Definition of Foreign Direct Investment Third Edition, a detailed operational definition fully consistent with the IMF Balance of Payments Manual, Fifth Edition, BPM5. Foreign direct investment (FDI) is the category of international investment made by an entity resident in one economy (direct investor) to acquire a lasting interest in an enterprise operating in another economy (direct investment enterprise). The lasting interest is deemed to exist if the direct investor acquires at least 10% of the voting power of the direct investment enterprise. FDI statistics record separately: 1) Inward FDI (or FDI in the reporting economy), namely investment by foreigners in enterprises resident in the reporting economy. 2) Outward FDI (or FDIabroad), namely investment by residents entities in affiliated enterprises abroad. FDI statistics record both the initial investment and all subsequent investment made by the direct investor, either in the form of equity capital, or in the form of loans, or in the form of reinvesting earnings. Investment made through other affiliated enterprises of the same group of the direct investor should also be recorded according to the international methodology. There are three main indicators: FDI flows, stocks and income. The indicators described in more detail below are presented in the complete tables with a breakdown by partner country or region and a breakdown by the kind of activity in which FDI is made. In the table called "Main indicators" there is a reduced breakdown by partners and data for total activity only. See the part on classification system for more detail. See also the User's guideon the structure on the database and for practical information on data downloading. 1) FDI flows denote the new investment made during the period. FDI flows are recorded in the Balance of Payments financial account. Total FDI flows are broken down by kind of instrument used for making the investment: Equity capital comprises equity in branches, all shares in subsidiaries and associates (except non-participating, preferred shares that are treated as debt securities and are included under other FDI capital) and other contributions such as the provision of machinery. Reinvested earnings consist of the direct investor's share (in proportion to equity participation) of earnings not distributed by the direct investment enterprise. Reinvested earnings are an imputed transaction. Reinvested earnings are also recorded with opposite sign among FDI income (see below). This recording represents not distributed income as being earned by the direct investor and reinvested in the direct investment enterprise at the same time. Other FDI capital (loans) covers the borrowing and lending of funds, including debt securities and trade credits between direct investors and direct investment enterprises. Debt transactions between affiliated financial intermediaries recorded under direct investment flows are limited to permanent debt. 2) FDI stocks (or positions) denote the value of the investment at the end of the period. FDI stocks are recorded in the International Investment Position. Outward FDI stocks are recorded as assets of the reporting economy, inward FDI stocks as liabilities. Similarly with flows, FDI stocks are broken down by kind of instrument. However, there are only two categories instead of three: Equity capital and reinvested earnings is the value of the own capital of the enterprise, including the value of own reserves that are accumulated from past reinvested earnings. Reserves corresponding to reinvested earnings are not shown separately from other equity capital as in the case of flows. Other FDI capital is the stock of debts (assets or liabilities) between the direct investors and the direct investment enterprise. 3) FDI income is the income accruing to direct investors during the period. FDI income is recorded in the current account of the Balance of Payments. Total FDI income is broken down by kind of income. The categories of FDI income available are linked to the breakdown of FDI flows and stocks by kind of instrument, namely: Dividends Dividends payable in the period and branch profits remitted to the direct investor, gross of any withholding taxes. Dividends include payments due on common and preferred shares. Reinvested earnings See definition under FDI flows. Interest on loans Interest accrued in the period on loans (other FDI capital) with affiliated enterprises, gross of any withholding tax. 4) FDI intensity Out of FDI annual data, an indicator useful to measure EU market integration is also calculated and disseminated in the domain Structural Indicators: FDI intensity as % of GDP: Average of inward and outward FDI flows divided by GDP. A higher index indicates higher new FDI during the period in relation to the size of the economy as measured by GDP. If this index increases over time, then the country/zone is becoming more integrated with the international economy.
    • 11月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 01 12月, 2017
      データセットを選択
      Eurostat uses as a base for its work the OECD Benchmark Definition of Foreign Direct Investment Third Edition, a detailed operational definition fully consistent with the IMF Balance of Payments Manual, Fifth Edition, BPM5. Foreign direct investment (FDI) is the category of international investment made by an entity resident in one economy (direct investor) to acquire a lasting interest in an enterprise operating in another economy (direct investment enterprise). The lasting interest is deemed to exist if the direct investor acquires at least 10% of the voting power of the direct investment enterprise. FDI statistics record separately: 1) Inward FDI (or FDI in the reporting economy), namely investment by foreigners in enterprises resident in the reporting economy. 2) Outward FDI (or FDIabroad), namely investment by residents entities in affiliated enterprises abroad. FDI statistics record both the initial investment and all subsequent investment made by the direct investor, either in the form of equity capital, or in the form of loans, or in the form of reinvesting earnings. Investment made through other affiliated enterprises of the same group of the direct investor should also be recorded according to the international methodology. There are three main indicators: FDI flows, stocks and income. The indicators described in more detail below are presented in the complete tables with a breakdown by partner country or region and a breakdown by the kind of activity in which FDI is made. In the table called "Main indicators" there is a reduced breakdown by partners and data for total activity only. See the part on classification system for more detail. See also the User's guideon the structure on the database and for practical information on data downloading. 1) FDI flows denote the new investment made during the period. FDI flows are recorded in the Balance of Payments financial account. Total FDI flows are broken down by kind of instrument used for making the investment: Equity capital comprises equity in branches, all shares in subsidiaries and associates (except non-participating, preferred shares that are treated as debt securities and are included under other FDI capital) and other contributions such as the provision of machinery. Reinvested earnings consist of the direct investor's share (in proportion to equity participation) of earnings not distributed by the direct investment enterprise. Reinvested earnings are an imputed transaction. Reinvested earnings are also recorded with opposite sign among FDI income (see below). This recording represents not distributed income as being earned by the direct investor and reinvested in the direct investment enterprise at the same time. Other FDI capital (loans) covers the borrowing and lending of funds, including debt securities and trade credits between direct investors and direct investment enterprises. Debt transactions between affiliated financial intermediaries recorded under direct investment flows are limited to permanent debt. 2) FDI stocks (or positions) denote the value of the investment at the end of the period. FDI stocks are recorded in the International Investment Position. Outward FDI stocks are recorded as assets of the reporting economy, inward FDI stocks as liabilities. Similarly with flows, FDI stocks are broken down by kind of instrument. However, there are only two categories instead of three: Equity capital and reinvested earnings is the value of the own capital of the enterprise, including the value of own reserves that are accumulated from past reinvested earnings. Reserves corresponding to reinvested earnings are not shown separately from other equity capital as in the case of flows. Other FDI capital is the stock of debts (assets or liabilities) between the direct investors and the direct investment enterprise. 3) FDI income is the income accruing to direct investors during the period. FDI income is recorded in the current account of the Balance of Payments. Total FDI income is broken down by kind of income. The categories of FDI income available are linked to the breakdown of FDI flows and stocks by kind of instrument, namely: Dividends Dividends payable in the period and branch profits remitted to the direct investor, gross of any withholding taxes. Dividends include payments due on common and preferred shares. Reinvested earnings See definition under FDI flows. Interest on loans Interest accrued in the period on loans (other FDI capital) with affiliated enterprises, gross of any withholding tax. 4) FDI intensity Out of FDI annual data, an indicator useful to measure EU market integration is also calculated and disseminated in the domain Structural Indicators: FDI intensity as % of GDP: Average of inward and outward FDI flows divided by GDP. A higher index indicates higher new FDI during the period in relation to the size of the economy as measured by GDP. If this index increases over time, then the country/zone is becoming more integrated with the international economy.
    • 11月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 01 12月, 2017
      データセットを選択
      Eurostat uses as a base for its work the OECD Benchmark Definition of Foreign Direct Investment Third Edition, a detailed operational definition fully consistent with the IMF Balance of Payments Manual, Fifth Edition, BPM5. Foreign direct investment (FDI) is the category of international investment made by an entity resident in one economy (direct investor) to acquire a lasting interest in an enterprise operating in another economy (direct investment enterprise). The lasting interest is deemed to exist if the direct investor acquires at least 10% of the voting power of the direct investment enterprise. FDI statistics record separately: 1) Inward FDI (or FDI in the reporting economy), namely investment by foreigners in enterprises resident in the reporting economy. 2) Outward FDI (or FDIabroad), namely investment by residents entities in affiliated enterprises abroad. FDI statistics record both the initial investment and all subsequent investment made by the direct investor, either in the form of equity capital, or in the form of loans, or in the form of reinvesting earnings. Investment made through other affiliated enterprises of the same group of the direct investor should also be recorded according to the international methodology. There are three main indicators: FDI flows, stocks and income. The indicators described in more detail below are presented in the complete tables with a breakdown by partner country or region and a breakdown by the kind of activity in which FDI is made. In the table called "Main indicators" there is a reduced breakdown by partners and data for total activity only. See the part on classification system for more detail. See also the User's guideon the structure on the database and for practical information on data downloading. 1) FDI flows denote the new investment made during the period. FDI flows are recorded in the Balance of Payments financial account. Total FDI flows are broken down by kind of instrument used for making the investment: Equity capital comprises equity in branches, all shares in subsidiaries and associates (except non-participating, preferred shares that are treated as debt securities and are included under other FDI capital) and other contributions such as the provision of machinery. Reinvested earnings consist of the direct investor's share (in proportion to equity participation) of earnings not distributed by the direct investment enterprise. Reinvested earnings are an imputed transaction. Reinvested earnings are also recorded with opposite sign among FDI income (see below). This recording represents not distributed income as being earned by the direct investor and reinvested in the direct investment enterprise at the same time. Other FDI capital (loans) covers the borrowing and lending of funds, including debt securities and trade credits between direct investors and direct investment enterprises. Debt transactions between affiliated financial intermediaries recorded under direct investment flows are limited to permanent debt. 2) FDI stocks (or positions) denote the value of the investment at the end of the period. FDI stocks are recorded in the International Investment Position. Outward FDI stocks are recorded as assets of the reporting economy, inward FDI stocks as liabilities. Similarly with flows, FDI stocks are broken down by kind of instrument. However, there are only two categories instead of three: Equity capital and reinvested earnings is the value of the own capital of the enterprise, including the value of own reserves that are accumulated from past reinvested earnings. Reserves corresponding to reinvested earnings are not shown separately from other equity capital as in the case of flows. Other FDI capital is the stock of debts (assets or liabilities) between the direct investors and the direct investment enterprise. 3) FDI income is the income accruing to direct investors during the period. FDI income is recorded in the current account of the Balance of Payments. Total FDI income is broken down by kind of income. The categories of FDI income available are linked to the breakdown of FDI flows and stocks by kind of instrument, namely: Dividends Dividends payable in the period and branch profits remitted to the direct investor, gross of any withholding taxes. Dividends include payments due on common and preferred shares. Reinvested earnings See definition under FDI flows. Interest on loans Interest accrued in the period on loans (other FDI capital) with affiliated enterprises, gross of any withholding tax. 4) FDI intensity Out of FDI annual data, an indicator useful to measure EU market integration is also calculated and disseminated in the domain Structural Indicators: FDI intensity as % of GDP: Average of inward and outward FDI flows divided by GDP. A higher index indicates higher new FDI during the period in relation to the size of the economy as measured by GDP. If this index increases over time, then the country/zone is becoming more integrated with the international economy.
    • 3月 2024
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 03 4月, 2024
      データセットを選択
      Data cited at: Direction of Trade Statistics, The International Monetary Fund. The Direction of Trade Statistics (DOTS) presents current figures on the value of merchandise exports and imports dis-aggregated according to a country's primary trading partners. Area and world aggregates are included in the display of trade flows between major areas of the world. Reported data is supplemented by estimates whenever such data is not available or current. Imports are reported on a cost, insurance and freight (CIF) basis and exports are reported on a free on board (FOB) basis, with the exception of a few countries for which imports are also available FOB. Time series data includes estimates derived from reports of partner countries for non-reporting and slow-reporting countries.
    • 3月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 29 3月, 2018
      データセットを選択
      18.1. Source data
  • E
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 14 3月, 2024
      データセットを選択
      The Economic Accounts for Agriculture (EAA) provide detailed information on income in the agricultural sector. The purpose is to analyse the production process of the agricultural industry and the primary income generated by this production. The accounts are therefore based on the industry concept. The EAA accounts are detailed data on value of output (producer prices and basic prices), intermediate consumption, subsidies and taxes, consumption of fixed capital, rent and interests, capital formation etc. The values are in current as well as in constant prices. Agricultural Labour Input (ALI) and Unit Values (UV) are an integrated part of the overall concept of Economic Accounts for Agriculture. The Economic accounts for agriculture (EAA) are a satellite account of the European System of Accounts (ESA2010), providing complementary information and concepts adapted to the particular nature of the agricultural industry. Although their structure very closely matches that of the national accounts, their compilation requires the formulation of appropriate rules and methods. National Statistical Institutes or Ministries of Agriculture are responsible for data collection and calculation of national EAA, in accordance with EC Regulations. Eurostat is responsible for the EU aggregations. Regional data EAA accounts are compiled at regional level (NUTS2), but only in values in current prices. The labour input data and Unit values are not broken down to regional level. Please note that for paragraphs where no metadata for regional data has been specified, the regional metadata is identical to the metadata provided for the national data. Frequency of data collection for data under Regulation (EC) 138/2004 and gentlemen's agreement, deadline for transmission for years 2015-2016.
    • 2月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 03 2月, 2024
      データセットを選択
      The Economic Accounts for Agriculture (EAA) provide detailed information on income in the agricultural sector. The purpose is to analyse the production process of the agricultural industry and the primary income generated by this production. The accounts are therefore based on the industry concept. The EAA accounts are detailed data on value of output (producer prices and basic prices), intermediate consumption, subsidies and taxes, consumption of fixed capital, rent and interests, capital formation etc. The values are in current as well as in constant prices. Agricultural Labour Input (ALI) and Unit Values (UV) are an integrated part of the overall concept of Economic Accounts for Agriculture. The Economic accounts for agriculture (EAA) are a satellite account of the European System of Accounts (ESA2010), providing complementary information and concepts adapted to the particular nature of the agricultural industry. Although their structure very closely matches that of the national accounts, their compilation requires the formulation of appropriate rules and methods. National Statistical Institutes or Ministries of Agriculture are responsible for data collection and calculation of national EAA, in accordance with EC Regulations. Eurostat is responsible for the EU aggregations. Regional data EAA accounts are compiled at regional level (NUTS2), but only in values in current prices. The labour input data and Unit values are not broken down to regional level. Please note that for paragraphs where no metadata for regional data has been specified, the regional metadata is identical to the metadata provided for the national data. Frequency of data collection for data under Regulation (EC) 138/2004 and gentlemen's agreement, deadline for transmission for years 2015-2016.
    • 2月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 23 2月, 2024
      データセットを選択
      The Economic Accounts for Agriculture (EAA) provide detailed information on income in the agricultural sector. The purpose is to analyse the production process of the agricultural industry and the primary income generated by this production. The accounts are therefore based on the industry concept. The EAA are detailed data on the value of output (measured in both producer prices and basic prices), intermediate consumption, subsidies and taxes, consumption of fixed capital, rent and interest, capital formation etc. The values are available in both current prices and constant prices. Agricultural Labour Input (ALI) statistics and Unit Values (UV) are an integrated part of the overall concept of the EAA. The EAA are a satellite account of the European System of Accounts (ESA), providing complementary information and concepts adapted to the particular nature of the agricultural industry. Although their structure very closely matches that of the national accounts, their compilation requires the formulation of appropriate rules and methods. National Statistical Institutes or Ministries of Agriculture are responsible for data collection and calculations of national EAA, in accordance with EC Regulations. Eurostat is responsible for the EU aggregations. Regional data The EAA are also compiled at regional level (NUTS2), but only in values at current prices. The agricultural labour input data and unit values, however, are not available at regional levels. Please note that for paragraphs where no metadata for regional data has been specified, the regional metadata is identical to the metadata provided for national data. Frequency of data collection for data under Regulation (EC) 138/2004 and gentlemen's agreement l
    • 5月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 06 5月, 2023
      データセットを選択
      The economic accounts for forestry and logging are based on national accounts, but are collected with greater detail. Current prices means prices of that particular year. Annual inflation must yet be taken into account if one wishes to compare the values of different years. Basic prices means the price received by the producer after deduction of all taxes on products, but including all subsidies on products. Gross value added is the value of the output less the value of intermediate consumption. Fixed capital relates to longer-lived assets (e.g. equipment or buildings) that are either acquired (this is gross fixed capital formation) or consumed (this is fixed capital consumption, the annual reduction in the value of fixed assets). The definition of the activity of forestry and logging is based on Division 02 of NACE Rev. 2.
    • 12月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 19 12月, 2023
      データセットを選択
      Eurostat's database covers 1) Production and trade in roundwood and wood products, including primary and secondary products 2) Economic data on forestry and logging, including employment data 3) Sustainable forest management, comprising forest resources (assets) and environmental data. The main types of primary forest products included in (1) are: roundwood, sawnwood, wood-based panels, pulp, and paper and paperboard. Secondary products include further processed wood and paper products. These products are presented in greater detail; definitions are available. All of the data are compiled from the Joint Forest Sector Questionnaire (JFSQ), except for table (e), which is directly extracted from Eurostat's international trade database COMEXT (HS/CN Chapter 44). The tables in (1) cover details of the following topics: - Roundwood removals and production by type of wood and assortment (a) - Roundwood production by type of ownership (b) - Production and trade in roundwood, fuelwood and other basic products (c) - Trade in industrial roundwood by assortment and species (d) - Tropical wood imports to the EU from Chapter 44 of the Harmonised System (e) - Production and trade in sawnwood, panels and other primary products (f) - Sawnwood trade by species (g) - Production and trade in pulp and paper & paperboard (h) - Trade in secondary wood and paper products (i) Data in (2) include the output, intermediate consumption, gross value added, fixed capital consumption, gross fixed capital formation and different measures of income of forestry and logging.  The data are in current basic prices and are compatible with National Accounts. They are collected as part of Intergrated environmental and economic accounting for forests (IEEAF), which also covers labour input in annual work units (AWU).  Under (2), two separate tables cover the number of employees of forestry and logging, the manufacture of wood and products of wood and cork, and the manufacture of paper and paper products, as estimated from the Labour Force Survey results. There are two separate tables because of the change in the EU's classification of economic activities from NACE Rev. 1.1 to NACE Rev. 2 in 2008. More detailed information on wood products and accounting, including definitions and questionnaires, can be found on our open-access communication platform under the interest group 'Forestry statistics and accounts'.  Data in (3) are not collected by Eurostat, but by the FAO, UNECE, Forest Euope, the European Commission's departments for Environment and the Joint Research Centre. They include forest area, wood volume, defoliation on sample plots, fires and areas with protective functions.
    • 7月 2023
      ソース: Atlas of Economic Complexity, Growth Lab Harvard University
      アップロード者: Knoema
      以下でアクセス: 02 8月, 2023
      データセットを選択
      Data cited at:  Retrieved from-https://atlas.cid.harvard.edu/rankings/product
    • 4月 2024
      ソース: Observatory of Economic Complexity
      アップロード者: B S Ravishanth
      以下でアクセス: 15 4月, 2024
      データセットを選択
      Data cited at:  Retrieved from-https://oec.world/en/rankings/eci/hs6/hs96
    • 3月 2023
      ソース: Fraser Institute
      アップロード者: Knoema
      以下でアクセス: 30 3月, 2023
      データセットを選択
      Data cited at: "Economic Freedom of the World: 2019 Annual Report"@Fraser Institute   The economic freedom index measures the degree of economic freedom present in five major areas: [1] Size of Government; [2] Legal System and Security of Property Rights; [3] Sound Money; [4] Freedom to Trade Internationally; [5] Regulation. Within the five major areas, there are 24 components (area) in economic freedom index. Each component and sub-component is placed on a scale from 0 to 10.
    • 4月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 12月, 2015
      データセットを選択
    • 11月 2023
      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: 22 1月, 2024
      データセットを選択
      The OECD Economic Outlook analyses the major economic trends over the coming 2 years. It provides in-depth coverage of the main economic issues and the policy measures required to foster growth in each member country. Forthcoming developments in major non-OECD economies are also evaluated in detail. Each edition of the Outlook provides a unique resource to keep abreast of world economic developments. The OECD Economic Outlook database is a comprehensive and consistent macroeconomic database of the OECD economies, covering expenditures, foreign trade, output, labour markets, interest and exchange rates, balance of payments and government debt. For the non-OECD regions, foreign trade and current account series are available. Variables are defined in such a way that they are as homogenous as possible for the countries covered. Breaks in underlying series are corrected as far as possible. Sources for the historical data are publications of national statistical agencies and OECD data bases such as Quarterly National Accounts, Annual National Accounts, Labour Force Statistics and Main Economic Indicators. The cut-off date for information used in the compilation of the projections was June 1, 2023. The aggregation of world trade takes into account the projections made for the main non-OECD economies. Thus, besides OECD and the OECD euro area, the following regions are available: Dynamic Asian Economies (Chinese Taipei, Hong Kong, Malaysia, the Philippines, Singapore, Thailand, Vietnam); Oil Producers (Algeria, Angola, Azerbaijan Bahrain, Brunei, Chad, Rep. of Congo, Ecuador, Equatorial Guinea, Gabon, Iran, Iraq, Kazakhstan, Kuwait, Libya, Nigeria, Oman, Qatar, Saudi Arabia, Sudan, Timor-Leste, Trinidad and Tobago, Turkmenistan, United Arab Emirates, Yemen, Venezuela); with the remaining countries in a residual 'Rest of the World' group.
    • 12月 2009
      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: 05 4月, 2019
      データセットを選択
      The OECD Economic Outlook analyses the major economic trends over the coming 2 to 3 years. It provides in-depth coverage of the main economic issues and the policy measures required to foster growth in each member country. Forthcoming developments in major non-OECD economies are also evaluated in detail. Each edition of this Outlook provides a unique tool to keep abreast of world economic developments. The OECD Economic Outlook database is a comprehensive and consistent macroeconomic database of the OECD economies, covering expenditures, foreign trade, output, labour markets, interest rates and exchange rates, the balance of payments, government and of households, and government debt. For the non-OECD regions, foreign trade and current account series are available. The database contains annual and quarterly data for the historical period and for the projection period. For this latter period, quarterly data are available for the G7 countries, and the OECD regions, while annual data are available for all OECD countries and for non-OECD regions. Quarterly series are seasonally adjusted. Variables are defined in such a way that they are as homogenous as possible over the countries. Breaks in underlying series are corrected as far as possible. Sources for the historical data are publications of national statistical agencies and OECD statistical publications such as the Quarterly National Accounts, the Annual National Accounts, the Annual Labour Force Statistics and the Main Economic Indicators.
    • 10月 2020
      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: 27 10月, 2020
      データセットを選択
      The OECD Economic Outlook analyses the major economic trends over the coming 2 to 3 years. It provides in-depth coverage of the main economic issues and the policy measures required to foster growth in each member country. Forthcoming developments in major non-OECD economies are also evaluated in detail. Each edition of this Outlook provides a unique tool to keep abreast of world economic developments. The OECD Economic Outlook database is a comprehensive and consistent macroeconomic database of the OECD economies, covering expenditures, foreign trade, output, labour markets, interest rates and exchange rates, the balance of payments, government and of households, and government debt. For the non-OECD regions, foreign trade and current account series are available. The database contains annual and quarterly data for the historical period and for the projection period. For this latter period, quarterly data are available for the G7 countries, and the OECD regions, while annual data are available for all OECD countries and for non-OECD regions. Quarterly series are seasonally adjusted. Variables are defined in such a way that they are as homogenous as possible over the countries. Breaks in underlying series are corrected as far as possible. Sources for the historical data are publications of national statistical agencies and OECD statistical publications such as the Quarterly National Accounts, the Annual National Accounts, the Annual Labour Force Statistics and the Main Economic Indicators.
    • 10月 2020
      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: 27 10月, 2020
      データセットを選択
      Current data with full Archive version is available here: https://knoema.com/OECDEO2020DEC/economic-outlook-no-108-december-2020  
    • 10月 2020
      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: 27 10月, 2020
      データセットを選択
      Current data with full Archive version is available here: https://knoema.com/OECDEO2020DEC/economic-outlook-no-108-december-2020
    • 4月 2021
      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: 30 4月, 2021
      データセットを選択
       The OECD Economic Outlook analyses the major economic trends over the coming 2 to 3 years. It provides in-depth coverage of the main economic issues and the policy measures required to foster growth in each member country. Forthcoming developments in major non-OECD economies are also evaluated in detail. Each edition of the Outlook provides a unique resource to keep abreast of world economic developments. The OECD Economic Outlook database is a comprehensive and consistent macroeconomic database of the OECD economies, covering expenditures, foreign trade, output, labour markets, interest and exchange rates, balance of payments, and government debt. For the non-OECD regions, foreign trade and current account series are available. The database contains annual for the projection period. Variables are defined in such a way that they are as homogenous as possible for the countries covered. Breaks in underlying series are corrected as far as possible. Sources for the historical data are publications of national statistical agencies and OECD statistical publications such as the Quarterly National Accounts, the Annual National Accounts, the Labour Force Statistics and the Main Economic Indicators. The cut-off date for information used in the compilation of the projections was the 29 May 2015. Concerning the aggregation of world trade, a new composition has been introduced, since projections are now made for the major non-OECD economies. Thus, besides OECD and the OECD euro area, the following new regions are available: Dynamic Asian Economies (Chinese Taipei, Hong Kong, Malaysia, the Philippines, Singapore, Thailand, Vietnam); Oil Producers (Azerbaijan, Kazakhstan, Turkmenistan, Brunei, Timor-Leste, Bahrain, Iran, Iraq, Kuwait, Libya, Oman, Qatar, Saudi Arabia, United Arab Emirates, Yemen, Ecuador, Trinidad and Tobago, Venezuela, Algeria, Angola, Chad, Rep. of Congo, Equatorial Guinea, Gabon, Nigeria, Sudan); with the remaining countries in a residual 'Rest of the World' group.
    • 5月 2021
      ソース: Knoema
      アップロード者: Misha Gusev
      データセットを選択
      Sources: OECD; Eurostat; World Bank; Our World in Data
    • 7月 2023
      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: 27 7月, 2023
      データセットを選択
    • 7月 2020
      ソース: National Institute of Statistics, Italy
      アップロード者: Knoema
      以下でアクセス: 20 7月, 2020
      データセットを選択
      Data source(s) used: Data source: OECD Education at a glance (annually published) containing detailed analysis of several internationally comparable indicators of human capital.For further details please see the volume on the site: www.oecd.org
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 27 3月, 2024
      データセットを選択
      The Economic Sentiment Indicator (ESI) is a composite indicator made up of five sectoral confidence indicators with different weights: Industrial confidence indicator, Services confidence indicator, Consumer confidence indicator, Construction confidence indicator Retail trade confidence indicator. Confidence indicators are arithmetic means of seasonally adjusted balances of answers to a selection of questions closely related to the reference variable they are supposed to track (e.g. industrial production for the industrial confidence indicator). Surveys are defined within the Joint Harmonised EU Programme of Business and Consumer Surveys. The economic sentiment indicator (ESI) is calculated as an index with mean value of 100 and standard deviation of 10 over a fixed standardised sample period. Data are compiled according to the Statistical classification of economic activities in the European Community, (NACE Rev. 2). Source: DG ECFIN
    • 1月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 25 1月, 2017
      データセットを選択
      The source for regional typology statistics are regional indicators at NUTS level 3 published on the Eurostat website or existing in the Eurostat production database. The structure of this domain is as follows: - Metropolitan regions (met)    For details see http://ec.europa.eu/eurostat/web/metropolitan-regions/overview - Maritime policy indicators (mare)    For details see http://ec.europa.eu/eurostat/web/maritime-policy-indicators/overview - Urban-rural typology (urt)    For details see http://ec.europa.eu/eurostat/web/rural-development/overview
    • 2月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 2月, 2022
      データセットを選択
    • 2月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 2月, 2022
      データセットを選択
    • 2月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 2月, 2023
      データセットを選択
      The section 'LFS series - detailed quarterly survey results' reports detailed quarterly results going beyond the EU-LFS main aggregates, which have a separate data domain and some methodological differences. This data collection covers all main labour market characteristics, i.e. the total population, activity and activity rates, employment, employment rates, self employed, employees, temporary employment, full-time and part-time employment, population in employment having a second job, working time, total unemployment and inactivity. General information on the EU-LFS can be found in the ESMS page for 'Employment and unemployment (LFS)', see link in related metada. Detailed information on the main features, the legal basis, the methodology and the data as well as on the historical development of the EU-LFS is available on the EU-LFS (Statistics Explained) webpage.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Persons in employment are those who, during the reference week, did any work for pay or profit, or were not working but had a job from which they were temporarily absent. Anyone who receives a wage for on-the-job training that involves the production of goods or services is also considered as being in employment. Self-employed and family workers are also included. Employment is measured in number of persons without distinction according to full-time or part-time work. Employment growth rates are based on employed persons. They are expressed as percentage change comparing year Y with year Y-1 and in 1000 persons. Data are sourced from National accounts data. The ESA 2010 distinguishes two employment concepts depending on the geographical coverage: resident persons in employment (i.e. the national scope of employment) and employment in resident production units irrespective of the place of residence of the employed person (i.e. domestic scope). The table presents total employment, according to the domestic concept.
    • 5月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 6月, 2020
      データセットを選択
      The focus of this domain is on the European Neighbourhood Policy (ENP) countries on the southern and eastern shores of the Mediterranean (ENP-South), namely: Algeria (DZ),Egypt (EG),Israel (IL),Jordan (JO),Lebanon (LB),Libya (LY),Morocco (MA),Palestine (PS),Syria (SY) andTunisia (TN). An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. The data and their denomination in no way constitute the expression of an opinion by the European Commission on the legal status of a country or territory or on the delimitation of its borders.
    • 9月 2023
      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: 06 9月, 2023
      データセットを選択
    • 2月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 2月, 2023
      データセットを選択
      The section 'LFS series - detailed annual survey results' reports annual results from the EU-LFS. While LFS is a quarterly survey, it is also possible to produce annual results. There are several ways of doing it, see section '20.5 Data compilation' below for details. This data collection covers all main labour market characteristics, i.e. the total population, activity and activity rates, employment, employment rates, self employed, employees, temporary employment, full-time and part-time employment, population in employment having a second job, working time, total unemployment and inactivity. General information on the EU-LFS can be found in the ESMS page for 'Employment and unemployment (LFS)', see link in related metada. Detailed information on the main features, the legal basis, the methodology and the data as well as on the historical development of the EU-LFS is available on the EU-LFS (Statistics Explained) webpage.
    • 2月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 2月, 2023
      データセットを選択
      The section 'LFS series - detailed quarterly survey results' reports detailed quarterly results going beyond the EU-LFS main aggregates, which have a separate data domain and some methodological differences. This data collection covers all main labour market characteristics, i.e. the total population, activity and activity rates, employment, employment rates, self employed, employees, temporary employment, full-time and part-time employment, population in employment having a second job, working time, total unemployment and inactivity. General information on the EU-LFS can be found in the ESMS page for 'Employment and unemployment (LFS)', see link in related metada. Detailed information on the main features, the legal basis, the methodology and the data as well as on the historical development of the EU-LFS is available on the EU-LFS (Statistics Explained) webpage.
    • 9月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 9月, 2023
      データセットを選択
      The section 'LFS series - detailed annual survey results' reports annual results from the EU-LFS. While LFS is a quarterly survey, it is also possible to produce annual results. There are several ways of doing it, see section '20.5 Data compilation' below for details. This data collection covers all main labour market characteristics, i.e. the total population, activity and activity rates, employment, employment rates, self employed, employees, temporary employment, full-time and part-time employment, population in employment having a second job, working time, total unemployment and inactivity. General information on the EU-LFS can be found in the ESMS page for 'Employment and unemployment (LFS)', see link in related metada. Detailed information on the main features, the legal basis, the methodology and the data as well as on the historical development of the EU-LFS is available on the EU-LFS (Statistics Explained) webpage.
    • 6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
      In 2011, the European Union Labour Force Survey (EU-LFS) included an ad hoc module (AHM) on employment of disabled people. The module consisted of 11 variables dealing with: Health problems and difficulties in basic activities;Limitations in work caused by health problems/difficulties in basic activities;Special assistance needed or used by people with health problems/difficulties in basic activities;Limitation in work because of other reasons. On the basis of how the module was operationalised, the following two main definitions for disability were considered for presenting the results: Disabled persons = People having a basic activity difficulty (such as seeing, hearing, walking, communicating);Disabled persons = People having a work limitation caused by a longstanding health condition and/or a basic activity difficulty. 32 countries have implemented this module: the EU 28 Member States plus Turkey, Iceland, Norway and Switzerland. The Norwegian data are not disseminated because the AHM questionnaire in Norway only partly complies with the Commission Regulation (EU) No 317/2010 and consequently, the data are incomplete and partly comparable. Missing values, don't know and refusal answers are not considered in the calculations. It means the indicators have been worked out on the respondents and validated answers only.
    • 4月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 12月, 2015
      データセットを選択
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 3月, 2024
      データセットを選択
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Persons in employment are those who, during the reference week, did any work for pay or profit, or were not working but had a job from which they were temporarily absent. Anyone who receives a wage for on-the-job training that involves the production of goods or services is also considered as being in employment. Self-employed and family workers are also included. Employment is measured in number of persons without distinction according to full-time or part-time work. Employment growth rates are based on employed persons. They are expressed as percentage change comparing year Y with year Y-1 and in 1000 persons. Data are sourced from National accounts data. The ESA 2010 distinguishes two employment concepts depending on the geographical coverage: resident persons in employment (i.e. the national scope of employment) and employment in resident production units irrespective of the place of residence of the employed person (i.e. domestic scope). The table presents total employment, according to the domestic concept.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Persons in employment are those who, during the reference week, did any work for pay or profit, or were not working but had a job from which they were temporarily absent. Anyone who receives a wage for on-the-job training that involves the production of goods or services is also considered as being in employment. Self-employed and family workers are also included. Employment is measured in number of persons without distinction according to full-time or part-time work. The data are expressed in 1000 persons. The quarterly data are not seasonally adjusted. Data are sourced from National accounts data. The ESA 2010 distinguishes two employment concepts depending on the geographical coverage: resident persons in employment (i.e. the national scope of employment) and employment in resident production units irrespective of the place of residence of the employed person (i.e. domestic scope). The table presents total employment, according to the domestic concept.
    • 4月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2018
      データセットを選択
      The indicator is the ratio between the Gross Inland Consumption of Energy and the Gross Domestic Product calculated for a calendar year. It measures the energy consumption of an economy and its overall energy efficiency. The Gross Inland Consumption of Energy is calculated as the sum of the Gross Inland Consumption of the five types of energy: coal, electricity, oil, natural gas and renewable energy sources. In addition, each of these figures is calculated as an aggregation of different data on production, storage, trade (imports/exports) and consumption/use of energy. The GDP figures are taken at chain-linked volumes, reference year 2005 (at 2005 exchange rates). The energy intensity ratio is the result of dividing the Gross Inland Consumption by the GDP. Since Gross Inland Consumption is measured in kgoe (kilogram of oil equivalent) and GDP in 1000 EUR, this ratio is measured in kgoe per 1000 EUR. All necessary data related to energy data is compiled through five annual Joint Questionnaires (one for each type of energy above-mentioned). These questionnaires are called « joint » because they are shared by Eurostat and the International Energy Agency (organisation that belongs to the OECD). The indicator is a Sustainable Development Indicators, as it has been chosen for the assessment of the EU progress towards the targets of the Sustainable Development Strategy. tsdec360 table within the SDI set: Eurobase>Tables on EU policy> Socio-economic Development > Innovation, competitiveness and eco-efficiency > Energy Intensity of the economy (tsdec 360)
    • 1月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 1月, 2020
      データセットを選択
      The focus of this domain is on the European Neighbourhood Policy (ENP) countries in Eastern Europe, namely Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and Ukraine (UA). An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain.
    • 8月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 9月, 2016
      データセットを選択
      Eurostat Dataset Id:enpr_ecnacoi The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • 1月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 1月, 2020
      データセットを選択
      Eurostat Dataset Id:enpr_ecbop The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • 1月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 1月, 2020
      データセットを選択
      Eurostat Dataset Id:enpr_ecexint The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • 1月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 1月, 2020
      データセットを選択
      Eurostat Dataset Id:enpr_ecnagdp The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • 1月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 1月, 2020
      データセットを選択
      Eurostat Dataset Id:enpr_ecgov The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • 1月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 1月, 2020
      データセットを選択
      Eurostat Dataset Id:enpr_ecmain The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • 1月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 1月, 2020
      データセットを選択
      Eurostat Dataset Id:enpr_ecmny The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • 1月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 1月, 2020
      データセットを選択
      Eurostat Dataset Id:enpr_ecprice The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • 1月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 19 2月, 2019
      データセットを選択
      The focus of this domain is on the European Neighbourhood Policy (ENP) countries in Eastern Europe, namely Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and Ukraine (UA). An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain.
    • 8月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 9月, 2016
      データセットを選択
      Eurostat Dataset Id:enpr_siecr The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • 9月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 10月, 2016
      データセットを選択
      Eurostat Dataset Id:enpr_sigeb The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • 8月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 9月, 2016
      データセットを選択
      Eurostat Dataset Id:enpr_sisoc The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • 9月 2013
      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
    • 9月 2013
      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
    • 2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
    • 7月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 7月, 2023
      データセットを選択
    • 7月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 7月, 2023
      データセットを選択
    • 7月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 7月, 2023
      データセットを選択
    • 7月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 7月, 2023
      データセットを選択
    • 7月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 7月, 2023
      データセットを選択
    • 7月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 7月, 2023
      データセットを選択
    • 11月 2020
      ソース: Knoema
      アップロード者: Misha Gusev
      以下でアクセス: 09 11月, 2020
      データセットを選択
      Sources: OECD, World Bank, NBS China
    • 12月 2013
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 12月, 2015
      データセットを選択
      Eurostat uses as a base for its work the OECD Benchmark Definition of Foreign Direct Investment Third Edition, a detailed operational definition fully consistent with the IMF Balance of Payments Manual, Fifth Edition, BPM5. Foreign direct investment (FDI) is the category of international investment made by an entity resident in one economy (direct investor) to acquire a lasting interest in an enterprise operating in another economy (direct investment enterprise). The lasting interest is deemed to exist if the direct investor acquires at least 10% of the voting power of the direct investment enterprise. FDI statistics record separately: 1) Inward FDI (or FDI in the reporting economy), namely investment by foreigners in enterprises resident in the reporting economy. 2) Outward FDI (or FDIabroad), namely investment by residents entities in affiliated enterprises abroad. FDI statistics record both the initial investment and all subsequent investment made by the direct investor, either in the form of equity capital, or in the form of loans, or in the form of reinvesting earnings. Investment made through other affiliated enterprises of the same group of the direct investor should also be recorded according to the international methodology. There are three main indicators: FDI flows, stocks and income. The indicators described in more detail below are presented in the complete tables with a breakdown by partner country or region and a breakdown by the kind of activity in which FDI is made. In the table called "Main indicators" there is a reduced breakdown by partners and data for total activity only. See the part on classification system for more detail. See also the User's guideon the structure on the database and for practical information on data downloading. 1) FDI flows denote the new investment made during the period. FDI flows are recorded in the Balance of Payments financial account. Total FDI flows are broken down by kind of instrument used for making the investment: Equity capital comprises equity in branches, all shares in subsidiaries and associates (except non-participating, preferred shares that are treated as debt securities and are included under other FDI capital) and other contributions such as the provision of machinery. Reinvested earnings consist of the direct investor's share (in proportion to equity participation) of earnings not distributed by the direct investment enterprise. Reinvested earnings are an imputed transaction. Reinvested earnings are also recorded with opposite sign among FDI income (see below). This recording represents not distributed income as being earned by the direct investor and reinvested in the direct investment enterprise at the same time. Other FDI capital (loans) covers the borrowing and lending of funds, including debt securities and trade credits between direct investors and direct investment enterprises. Debt transactions between affiliated financial intermediaries recorded under direct investment flows are limited to permanent debt. 2) FDI stocks (or positions) denote the value of the investment at the end of the period. FDI stocks are recorded in the International Investment Position. Outward FDI stocks are recorded as assets of the reporting economy, inward FDI stocks as liabilities. Similarly with flows, FDI stocks are broken down by kind of instrument. However, there are only two categories instead of three: Equity capital and reinvested earnings is the value of the own capital of the enterprise, including the value of own reserves that are accumulated from past reinvested earnings. Reserves corresponding to reinvested earnings are not shown separately from other equity capital as in the case of flows. Other FDI capital is the stock of debts (assets or liabilities) between the direct investors and the direct investment enterprise. 3) FDI income is the income accruing to direct investors during the period. FDI income is recorded in the current account of the Balance of Payments. Total FDI income is broken down by kind of income. The categories of FDI income available are linked to the breakdown of FDI flows and stocks by kind of instrument, namely: Dividends Dividends payable in the period and branch profits remitted to the direct investor, gross of any withholding taxes. Dividends include payments due on common and preferred shares. Reinvested earnings See definition under FDI flows. Interest on loans Interest accrued in the period on loans (other FDI capital) with affiliated enterprises, gross of any withholding tax. 4) FDI intensity Out of FDI annual data, an indicator useful to measure EU market integration is also calculated and disseminated in the domain Structural Indicators: FDI intensity as % of GDP: Average of inward and outward FDI flows divided by GDP. A higher index indicates higher new FDI during the period in relation to the size of the economy as measured by GDP. If this index increases over time, then the country/zone is becoming more integrated with the international economy.
    • 7月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 03 12月, 2015
      データセットを選択
      Eurostat uses as a base for its work the OECD Benchmark Definition of Foreign Direct Investment Third Edition, a detailed operational definition fully consistent with the IMF Balance of Payments Manual, Fifth Edition, BPM5. Foreign direct investment (FDI) is the category of international investment made by an entity resident in one economy (direct investor) to acquire a lasting interest in an enterprise operating in another economy (direct investment enterprise). The lasting interest is deemed to exist if the direct investor acquires at least 10% of the voting power of the direct investment enterprise. FDI statistics record separately: 1) Inward FDI (or FDI in the reporting economy), namely investment by foreigners in enterprises resident in the reporting economy. 2) Outward FDI (or FDIabroad), namely investment by residents entities in affiliated enterprises abroad. FDI statistics record both the initial investment and all subsequent investment made by the direct investor, either in the form of equity capital, or in the form of loans, or in the form of reinvesting earnings. Investment made through other affiliated enterprises of the same group of the direct investor should also be recorded according to the international methodology. There are three main indicators: FDI flows, stocks and income. The indicators described in more detail below are presented in the complete tables with a breakdown by partner country or region and a breakdown by the kind of activity in which FDI is made. In the table called "Main indicators" there is a reduced breakdown by partners and data for total activity only. See the part on classification system for more detail. See also the User's guideon the structure on the database and for practical information on data downloading. 1) FDI flows denote the new investment made during the period. FDI flows are recorded in the Balance of Payments financial account. Total FDI flows are broken down by kind of instrument used for making the investment: Equity capital comprises equity in branches, all shares in subsidiaries and associates (except non-participating, preferred shares that are treated as debt securities and are included under other FDI capital) and other contributions such as the provision of machinery. Reinvested earnings consist of the direct investor's share (in proportion to equity participation) of earnings not distributed by the direct investment enterprise. Reinvested earnings are an imputed transaction. Reinvested earnings are also recorded with opposite sign among FDI income (see below). This recording represents not distributed income as being earned by the direct investor and reinvested in the direct investment enterprise at the same time. Other FDI capital (loans) covers the borrowing and lending of funds, including debt securities and trade credits between direct investors and direct investment enterprises. Debt transactions between affiliated financial intermediaries recorded under direct investment flows are limited to permanent debt. 2) FDI stocks (or positions) denote the value of the investment at the end of the period. FDI stocks are recorded in the International Investment Position. Outward FDI stocks are recorded as assets of the reporting economy, inward FDI stocks as liabilities. Similarly with flows, FDI stocks are broken down by kind of instrument. However, there are only two categories instead of three: Equity capital and reinvested earnings is the value of the own capital of the enterprise, including the value of own reserves that are accumulated from past reinvested earnings. Reserves corresponding to reinvested earnings are not shown separately from other equity capital as in the case of flows. Other FDI capital is the stock of debts (assets or liabilities) between the direct investors and the direct investment enterprise. 3) FDI income is the income accruing to direct investors during the period. FDI income is recorded in the current account of the Balance of Payments. Total FDI income is broken down by kind of income. The categories of FDI income available are linked to the breakdown of FDI flows and stocks by kind of instrument, namely: Dividends Dividends payable in the period and branch profits remitted to the direct investor, gross of any withholding taxes. Dividends include payments due on common and preferred shares. Reinvested earnings See definition under FDI flows. Interest on loans Interest accrued in the period on loans (other FDI capital) with affiliated enterprises, gross of any withholding tax. 4) FDI intensity Out of FDI annual data, an indicator useful to measure EU market integration is also calculated and disseminated in the domain Structural Indicators: FDI intensity as % of GDP: Average of inward and outward FDI flows divided by GDP. A higher index indicates higher new FDI during the period in relation to the size of the economy as measured by GDP. If this index increases over time, then the country/zone is becoming more integrated with the international economy.
    • 12月 2013
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 30 9月, 2016
      データセットを選択
      Eurostat uses as a base for its work the OECD Benchmark Definition of Foreign Direct Investment Third Edition, a detailed operational definition fully consistent with the IMF Balance of Payments Manual, Fifth Edition, BPM5. Foreign direct investment (FDI) is the category of international investment made by an entity resident in one economy (direct investor) to acquire a lasting interest in an enterprise operating in another economy (direct investment enterprise). The lasting interest is deemed to exist if the direct investor acquires at least 10% of the voting power of the direct investment enterprise. FDI statistics record separately: 1) Inward FDI (or FDI in the reporting economy), namely investment by foreigners in enterprises resident in the reporting economy. 2) Outward FDI (or FDIabroad), namely investment by residents entities in affiliated enterprises abroad. FDI statistics record both the initial investment and all subsequent investment made by the direct investor, either in the form of equity capital, or in the form of loans, or in the form of reinvesting earnings. Investment made through other affiliated enterprises of the same group of the direct investor should also be recorded according to the international methodology. There are three main indicators: FDI flows, stocks and income. The indicators described in more detail below are presented in the complete tables with a breakdown by partner country or region and a breakdown by the kind of activity in which FDI is made. In the table called "Main indicators" there is a reduced breakdown by partners and data for total activity only. See the part on classification system for more detail. See also the User's guideon the structure on the database and for practical information on data downloading. 1) FDI flows denote the new investment made during the period. FDI flows are recorded in the Balance of Payments financial account. Total FDI flows are broken down by kind of instrument used for making the investment:Equity capital comprises equity in branches, all shares in subsidiaries and associates (except non-participating, preferred shares that are treated as debt securities and are included under other FDI capital) and other contributions such as the provision of machinery.Reinvested earnings consist of the direct investor's share (in proportion to equity participation) of earnings not distributed by the direct investment enterprise. Reinvested earnings are an imputed transaction. Reinvested earnings are also recorded with opposite sign among FDI income (see below). This recording represents not distributed income as being earned by the direct investor and reinvested in the direct investment enterprise at the same time.Other FDI capital (loans) covers the borrowing and lending of funds, including debt securities and trade credits between direct investors and direct investment enterprises. Debt transactions between affiliated financial intermediaries recorded under direct investment flows are limited to permanent debt. 2) FDI stocks (or positions) denote the value of the investment at the end of the period. FDI stocks are recorded in the International Investment Position. Outward FDI stocks are recorded as assets of the reporting economy, inward FDI stocks as liabilities. Similarly with flows, FDI stocks are broken down by kind of instrument. However, there are only two categories instead of three:Equity capital and reinvested earnings is the value of the own capital of the enterprise, including the value of own reserves that are accumulated from past reinvested earnings. Reserves corresponding to reinvested earnings are not shown separately from other equity capital as in the case of flows.Other FDI capital is the stock of debts (assets or liabilities) between the direct investors and the direct investment enterprise. 3) FDI income is the income accruing to direct investors during the period. FDI income is recorded in the current account of the Balance of Payments. Total FDI income is broken down by kind of income. The categories of FDI income available are linked to the breakdown of FDI flows and stocks by kind of instrument, namely:Dividends Dividends payable in the period and branch profits remitted to the direct investor, gross of any withholding taxes. Dividends include payments due on common and preferred shares.Reinvested earnings See definition under FDI flows.Interest on loans Interest accrued in the period on loans (other FDI capital) with affiliated enterprises, gross of any withholding tax. 4) FDI intensity Out of FDI annual data, an indicator useful to measure EU market integration is also calculated and disseminated in the domain Structural Indicators:FDI intensity as % of GDP: Average of inward and outward FDI flows divided by GDP. A higher index indicates higher new FDI during the period in relation to the size of the economy as measured by GDP. If this index increases over time, then the country/zone is becoming more integrated with the international economy.
    • 7月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 03 12月, 2015
      データセットを選択
      Eurostat uses as a base for its work the OECD Benchmark Definition of Foreign Direct Investment Third Edition, a detailed operational definition fully consistent with the IMF Balance of Payments Manual, Fifth Edition, BPM5. Foreign direct investment (FDI) is the category of international investment made by an entity resident in one economy (direct investor) to acquire a lasting interest in an enterprise operating in another economy (direct investment enterprise). The lasting interest is deemed to exist if the direct investor acquires at least 10% of the voting power of the direct investment enterprise. FDI statistics record separately: 1) Inward FDI (or FDI in the reporting economy), namely investment by foreigners in enterprises resident in the reporting economy. 2) Outward FDI (or FDIabroad), namely investment by residents entities in affiliated enterprises abroad. FDI statistics record both the initial investment and all subsequent investment made by the direct investor, either in the form of equity capital, or in the form of loans, or in the form of reinvesting earnings. Investment made through other affiliated enterprises of the same group of the direct investor should also be recorded according to the international methodology. There are three main indicators: FDI flows, stocks and income. The indicators described in more detail below are presented in the complete tables with a breakdown by partner country or region and a breakdown by the kind of activity in which FDI is made. In the table called "Main indicators" there is a reduced breakdown by partners and data for total activity only. See the part on classification system for more detail. See also the User's guideon the structure on the database and for practical information on data downloading. 1) FDI flows denote the new investment made during the period. FDI flows are recorded in the Balance of Payments financial account. Total FDI flows are broken down by kind of instrument used for making the investment: Equity capital comprises equity in branches, all shares in subsidiaries and associates (except non-participating, preferred shares that are treated as debt securities and are included under other FDI capital) and other contributions such as the provision of machinery. Reinvested earnings consist of the direct investor's share (in proportion to equity participation) of earnings not distributed by the direct investment enterprise. Reinvested earnings are an imputed transaction. Reinvested earnings are also recorded with opposite sign among FDI income (see below). This recording represents not distributed income as being earned by the direct investor and reinvested in the direct investment enterprise at the same time. Other FDI capital (loans) covers the borrowing and lending of funds, including debt securities and trade credits between direct investors and direct investment enterprises. Debt transactions between affiliated financial intermediaries recorded under direct investment flows are limited to permanent debt. 2) FDI stocks (or positions) denote the value of the investment at the end of the period. FDI stocks are recorded in the International Investment Position. Outward FDI stocks are recorded as assets of the reporting economy, inward FDI stocks as liabilities. Similarly with flows, FDI stocks are broken down by kind of instrument. However, there are only two categories instead of three: Equity capital and reinvested earnings is the value of the own capital of the enterprise, including the value of own reserves that are accumulated from past reinvested earnings. Reserves corresponding to reinvested earnings are not shown separately from other equity capital as in the case of flows. Other FDI capital is the stock of debts (assets or liabilities) between the direct investors and the direct investment enterprise. 3) FDI income is the income accruing to direct investors during the period. FDI income is recorded in the current account of the Balance of Payments. Total FDI income is broken down by kind of income. The categories of FDI income available are linked to the breakdown of FDI flows and stocks by kind of instrument, namely: Dividends Dividends payable in the period and branch profits remitted to the direct investor, gross of any withholding taxes. Dividends include payments due on common and preferred shares. Reinvested earnings See definition under FDI flows. Interest on loans Interest accrued in the period on loans (other FDI capital) with affiliated enterprises, gross of any withholding tax. 4) FDI intensity Out of FDI annual data, an indicator useful to measure EU market integration is also calculated and disseminated in the domain Structural Indicators: FDI intensity as % of GDP: Average of inward and outward FDI flows divided by GDP. A higher index indicates higher new FDI during the period in relation to the size of the economy as measured by GDP. If this index increases over time, then the country/zone is becoming more integrated with the international economy.
    • 11月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 01 12月, 2017
      データセットを選択
      Eurostat uses as a base for its work the OECD Benchmark Definition of Foreign Direct Investment Third Edition, a detailed operational definition fully consistent with the IMF Balance of Payments Manual, Fifth Edition, BPM5. Foreign direct investment (FDI) is the category of international investment made by an entity resident in one economy (direct investor) to acquire a lasting interest in an enterprise operating in another economy (direct investment enterprise). The lasting interest is deemed to exist if the direct investor acquires at least 10% of the voting power of the direct investment enterprise. FDI statistics record separately: 1) Inward FDI (or FDI in the reporting economy), namely investment by foreigners in enterprises resident in the reporting economy. 2) Outward FDI (or FDIabroad), namely investment by residents entities in affiliated enterprises abroad. FDI statistics record both the initial investment and all subsequent investment made by the direct investor, either in the form of equity capital, or in the form of loans, or in the form of reinvesting earnings. Investment made through other affiliated enterprises of the same group of the direct investor should also be recorded according to the international methodology. There are three main indicators: FDI flows, stocks and income. The indicators described in more detail below are presented in the complete tables with a breakdown by partner country or region and a breakdown by the kind of activity in which FDI is made. In the table called "Main indicators" there is a reduced breakdown by partners and data for total activity only. See the part on classification system for more detail. See also the User's guideon the structure on the database and for practical information on data downloading. 1) FDI flows denote the new investment made during the period. FDI flows are recorded in the Balance of Payments financial account. Total FDI flows are broken down by kind of instrument used for making the investment:Equity capital comprises equity in branches, all shares in subsidiaries and associates (except non-participating, preferred shares that are treated as debt securities and are included under other FDI capital) and other contributions such as the provision of machinery.Reinvested earnings consist of the direct investor's share (in proportion to equity participation) of earnings not distributed by the direct investment enterprise. Reinvested earnings are an imputed transaction. Reinvested earnings are also recorded with opposite sign among FDI income (see below). This recording represents not distributed income as being earned by the direct investor and reinvested in the direct investment enterprise at the same time.Other FDI capital (loans) covers the borrowing and lending of funds, including debt securities and trade credits between direct investors and direct investment enterprises. Debt transactions between affiliated financial intermediaries recorded under direct investment flows are limited to permanent debt. 2) FDI stocks (or positions) denote the value of the investment at the end of the period. FDI stocks are recorded in the International Investment Position. Outward FDI stocks are recorded as assets of the reporting economy, inward FDI stocks as liabilities. Similarly with flows, FDI stocks are broken down by kind of instrument. However, there are only two categories instead of three:Equity capital and reinvested earnings is the value of the own capital of the enterprise, including the value of own reserves that are accumulated from past reinvested earnings. Reserves corresponding to reinvested earnings are not shown separately from other equity capital as in the case of flows.Other FDI capital is the stock of debts (assets or liabilities) between the direct investors and the direct investment enterprise. 3) FDI income is the income accruing to direct investors during the period. FDI income is recorded in the current account of the Balance of Payments. Total FDI income is broken down by kind of income. The categories of FDI income available are linked to the breakdown of FDI flows and stocks by kind of instrument, namely:Dividends Dividends payable in the period and branch profits remitted to the direct investor, gross of any withholding taxes. Dividends include payments due on common and preferred shares.Reinvested earnings See definition under FDI flows.Interest on loans Interest accrued in the period on loans (other FDI capital) with affiliated enterprises, gross of any withholding tax. 4) FDI intensity Out of FDI annual data, an indicator useful to measure EU market integration is also calculated and disseminated in the domain Structural Indicators:FDI intensity as % of GDP: Average of inward and outward FDI flows divided by GDP. A higher index indicates higher new FDI during the period in relation to the size of the economy as measured by GDP. If this index increases over time, then the country/zone is becoming more integrated with the international economy.
    • 11月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 01 12月, 2017
      データセットを選択
      Eurostat uses as a base for its work the OECD Benchmark Definition of Foreign Direct Investment Third Edition, a detailed operational definition fully consistent with the IMF Balance of Payments Manual, Fifth Edition, BPM5. Foreign direct investment (FDI) is the category of international investment made by an entity resident in one economy (direct investor) to acquire a lasting interest in an enterprise operating in another economy (direct investment enterprise). The lasting interest is deemed to exist if the direct investor acquires at least 10% of the voting power of the direct investment enterprise. FDI statistics record separately: 1) Inward FDI (or FDI in the reporting economy), namely investment by foreigners in enterprises resident in the reporting economy. 2) Outward FDI (or FDIabroad), namely investment by residents entities in affiliated enterprises abroad. FDI statistics record both the initial investment and all subsequent investment made by the direct investor, either in the form of equity capital, or in the form of loans, or in the form of reinvesting earnings. Investment made through other affiliated enterprises of the same group of the direct investor should also be recorded according to the international methodology. There are three main indicators: FDI flows, stocks and income. The indicators described in more detail below are presented in the complete tables with a breakdown by partner country or region and a breakdown by the kind of activity in which FDI is made. In the table called "Main indicators" there is a reduced breakdown by partners and data for total activity only. See the part on classification system for more detail. See also the User's guideon the structure on the database and for practical information on data downloading. 1) FDI flows denote the new investment made during the period. FDI flows are recorded in the Balance of Payments financial account. Total FDI flows are broken down by kind of instrument used for making the investment:Equity capital comprises equity in branches, all shares in subsidiaries and associates (except non-participating, preferred shares that are treated as debt securities and are included under other FDI capital) and other contributions such as the provision of machinery.Reinvested earnings consist of the direct investor's share (in proportion to equity participation) of earnings not distributed by the direct investment enterprise. Reinvested earnings are an imputed transaction. Reinvested earnings are also recorded with opposite sign among FDI income (see below). This recording represents not distributed income as being earned by the direct investor and reinvested in the direct investment enterprise at the same time.Other FDI capital (loans) covers the borrowing and lending of funds, including debt securities and trade credits between direct investors and direct investment enterprises. Debt transactions between affiliated financial intermediaries recorded under direct investment flows are limited to permanent debt. 2) FDI stocks (or positions) denote the value of the investment at the end of the period. FDI stocks are recorded in the International Investment Position. Outward FDI stocks are recorded as assets of the reporting economy, inward FDI stocks as liabilities. Similarly with flows, FDI stocks are broken down by kind of instrument. However, there are only two categories instead of three:Equity capital and reinvested earnings is the value of the own capital of the enterprise, including the value of own reserves that are accumulated from past reinvested earnings. Reserves corresponding to reinvested earnings are not shown separately from other equity capital as in the case of flows.Other FDI capital is the stock of debts (assets or liabilities) between the direct investors and the direct investment enterprise. 3) FDI income is the income accruing to direct investors during the period. FDI income is recorded in the current account of the Balance of Payments. Total FDI income is broken down by kind of income. The categories of FDI income available are linked to the breakdown of FDI flows and stocks by kind of instrument, namely:Dividends Dividends payable in the period and branch profits remitted to the direct investor, gross of any withholding taxes. Dividends include payments due on common and preferred shares.Reinvested earnings See definition under FDI flows.Interest on loans Interest accrued in the period on loans (other FDI capital) with affiliated enterprises, gross of any withholding tax. 4) FDI intensity Out of FDI annual data, an indicator useful to measure EU market integration is also calculated and disseminated in the domain Structural Indicators:FDI intensity as % of GDP: Average of inward and outward FDI flows divided by GDP. A higher index indicates higher new FDI during the period in relation to the size of the economy as measured by GDP. If this index increases over time, then the country/zone is becoming more integrated with the international economy.
    • 11月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 01 12月, 2017
      データセットを選択
      Eurostat uses as a base for its work the OECD Benchmark Definition of Foreign Direct Investment Third Edition, a detailed operational definition fully consistent with the IMF Balance of Payments Manual, Fifth Edition, BPM5. Foreign direct investment (FDI) is the category of international investment made by an entity resident in one economy (direct investor) to acquire a lasting interest in an enterprise operating in another economy (direct investment enterprise). The lasting interest is deemed to exist if the direct investor acquires at least 10% of the voting power of the direct investment enterprise. FDI statistics record separately: 1) Inward FDI (or FDI in the reporting economy), namely investment by foreigners in enterprises resident in the reporting economy. 2) Outward FDI (or FDIabroad), namely investment by residents entities in affiliated enterprises abroad. FDI statistics record both the initial investment and all subsequent investment made by the direct investor, either in the form of equity capital, or in the form of loans, or in the form of reinvesting earnings. Investment made through other affiliated enterprises of the same group of the direct investor should also be recorded according to the international methodology. There are three main indicators: FDI flows, stocks and income. The indicators described in more detail below are presented in the complete tables with a breakdown by partner country or region and a breakdown by the kind of activity in which FDI is made. In the table called "Main indicators" there is a reduced breakdown by partners and data for total activity only. See the part on classification system for more detail. See also the User's guideon the structure on the database and for practical information on data downloading. 1) FDI flows denote the new investment made during the period. FDI flows are recorded in the Balance of Payments financial account. Total FDI flows are broken down by kind of instrument used for making the investment:Equity capital comprises equity in branches, all shares in subsidiaries and associates (except non-participating, preferred shares that are treated as debt securities and are included under other FDI capital) and other contributions such as the provision of machinery.Reinvested earnings consist of the direct investor's share (in proportion to equity participation) of earnings not distributed by the direct investment enterprise. Reinvested earnings are an imputed transaction. Reinvested earnings are also recorded with opposite sign among FDI income (see below). This recording represents not distributed income as being earned by the direct investor and reinvested in the direct investment enterprise at the same time.Other FDI capital (loans) covers the borrowing and lending of funds, including debt securities and trade credits between direct investors and direct investment enterprises. Debt transactions between affiliated financial intermediaries recorded under direct investment flows are limited to permanent debt. 2) FDI stocks (or positions) denote the value of the investment at the end of the period. FDI stocks are recorded in the International Investment Position. Outward FDI stocks are recorded as assets of the reporting economy, inward FDI stocks as liabilities. Similarly with flows, FDI stocks are broken down by kind of instrument. However, there are only two categories instead of three:Equity capital and reinvested earnings is the value of the own capital of the enterprise, including the value of own reserves that are accumulated from past reinvested earnings. Reserves corresponding to reinvested earnings are not shown separately from other equity capital as in the case of flows.Other FDI capital is the stock of debts (assets or liabilities) between the direct investors and the direct investment enterprise. 3) FDI income is the income accruing to direct investors during the period. FDI income is recorded in the current account of the Balance of Payments. Total FDI income is broken down by kind of income. The categories of FDI income available are linked to the breakdown of FDI flows and stocks by kind of instrument, namely:Dividends Dividends payable in the period and branch profits remitted to the direct investor, gross of any withholding taxes. Dividends include payments due on common and preferred shares.Reinvested earnings See definition under FDI flows.Interest on loans Interest accrued in the period on loans (other FDI capital) with affiliated enterprises, gross of any withholding tax. 4) FDI intensity Out of FDI annual data, an indicator useful to measure EU market integration is also calculated and disseminated in the domain Structural Indicators:FDI intensity as % of GDP: Average of inward and outward FDI flows divided by GDP. A higher index indicates higher new FDI during the period in relation to the size of the economy as measured by GDP. If this index increases over time, then the country/zone is becoming more integrated with the international economy.
    • 11月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 01 12月, 2017
      データセットを選択
      Eurostat uses as a base for its work the OECD Benchmark Definition of Foreign Direct Investment Third Edition, a detailed operational definition fully consistent with the IMF Balance of Payments Manual, Fifth Edition, BPM5. Foreign direct investment (FDI) is the category of international investment made by an entity resident in one economy (direct investor) to acquire a lasting interest in an enterprise operating in another economy (direct investment enterprise). The lasting interest is deemed to exist if the direct investor acquires at least 10% of the voting power of the direct investment enterprise. FDI statistics record separately: 1) Inward FDI (or FDI in the reporting economy), namely investment by foreigners in enterprises resident in the reporting economy. 2) Outward FDI (or FDIabroad), namely investment by residents entities in affiliated enterprises abroad. FDI statistics record both the initial investment and all subsequent investment made by the direct investor, either in the form of equity capital, or in the form of loans, or in the form of reinvesting earnings. Investment made through other affiliated enterprises of the same group of the direct investor should also be recorded according to the international methodology. There are three main indicators: FDI flows, stocks and income. The indicators described in more detail below are presented in the complete tables with a breakdown by partner country or region and a breakdown by the kind of activity in which FDI is made. In the table called "Main indicators" there is a reduced breakdown by partners and data for total activity only. See the part on classification system for more detail. See also the User's guideon the structure on the database and for practical information on data downloading. 1) FDI flows denote the new investment made during the period. FDI flows are recorded in the Balance of Payments financial account. Total FDI flows are broken down by kind of instrument used for making the investment:Equity capital comprises equity in branches, all shares in subsidiaries and associates (except non-participating, preferred shares that are treated as debt securities and are included under other FDI capital) and other contributions such as the provision of machinery.Reinvested earnings consist of the direct investor's share (in proportion to equity participation) of earnings not distributed by the direct investment enterprise. Reinvested earnings are an imputed transaction. Reinvested earnings are also recorded with opposite sign among FDI income (see below). This recording represents not distributed income as being earned by the direct investor and reinvested in the direct investment enterprise at the same time.Other FDI capital (loans) covers the borrowing and lending of funds, including debt securities and trade credits between direct investors and direct investment enterprises. Debt transactions between affiliated financial intermediaries recorded under direct investment flows are limited to permanent debt. 2) FDI stocks (or positions) denote the value of the investment at the end of the period. FDI stocks are recorded in the International Investment Position. Outward FDI stocks are recorded as assets of the reporting economy, inward FDI stocks as liabilities. Similarly with flows, FDI stocks are broken down by kind of instrument. However, there are only two categories instead of three:Equity capital and reinvested earnings is the value of the own capital of the enterprise, including the value of own reserves that are accumulated from past reinvested earnings. Reserves corresponding to reinvested earnings are not shown separately from other equity capital as in the case of flows.Other FDI capital is the stock of debts (assets or liabilities) between the direct investors and the direct investment enterprise. 3) FDI income is the income accruing to direct investors during the period. FDI income is recorded in the current account of the Balance of Payments. Total FDI income is broken down by kind of income. The categories of FDI income available are linked to the breakdown of FDI flows and stocks by kind of instrument, namely:Dividends Dividends payable in the period and branch profits remitted to the direct investor, gross of any withholding taxes. Dividends include payments due on common and preferred shares.Reinvested earnings See definition under FDI flows.Interest on loans Interest accrued in the period on loans (other FDI capital) with affiliated enterprises, gross of any withholding tax. 4) FDI intensity Out of FDI annual data, an indicator useful to measure EU market integration is also calculated and disseminated in the domain Structural Indicators:FDI intensity as % of GDP: Average of inward and outward FDI flows divided by GDP. A higher index indicates higher new FDI during the period in relation to the size of the economy as measured by GDP. If this index increases over time, then the country/zone is becoming more integrated with the international economy.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
       Foreign Direct Investment (FDI) encompasses all kind of cross-border investment made by an entity resident in one economy (direct investor) to acquire a lasting interest in an enterprise operating in another economy (direct investment enterprise). FDI is one of the five main functional categories of investment used in international accounts to classify either the Internal Investment Positions (IIP) or the Balance of Payment (BOP) statements of a given economy (vis-à-vis the rest of the world). Foreign Direct Investment positions show at a point in time (generally, end of a reference year) the value of financial direct investment assets of residents of an economy on non-residents, and financial direct investment liabilities of residents of an economy to non-resident. The net FDI position is the difference between assets and liabilities, which is also equivalent (under the directional principle presentation) to the difference between FDI positions abroad and in the reporting economy. The net FDI position represents either a net FDI claim or a net FDI liability to the rest of the world.        Foreign direct investment transactions summarize all economic direct investment interactions between the residents and the non-residents during a given period. Two types of FDI transactions can be identified (within the BOP framework) according to the economic meaning they convey: FDI income is a distributive transaction showing amounts payable and receivable between resident and non-resident entities in return for providing financial direct investment assets to the rest of the world, or incurring direct investment liabilities vis-à-vis the rest of the world.FDI flows refer to financial transactions showing the net acquisition or disposal of financial assets and liabilities involved in direct investment relationships.FDI positions, FDI income and FDI flows are disseminated by Eurostat together with estimated EU FDI aggregates (directly produced by Eurostat).  Other FDI changes that are not transaction changes, such as volume, value or prices changes, are not treated by Eurostat under the scope of annual FDI statistics. Annual FDI data are disseminated by Eurostat according to the directional principle (see sub section 3.4 below). The geographical allocation is made according to the economic residence of the immediate direct investor or immediate direct investment company (immediate counterparts). FDI data classified according to ultimate investor or host economy are not yet available at Eurostat (see 12.1).  International Guides recommend the classification of FDI data both according to the activity of the direct investor and the activity of the direct investment enterprise. In practice, it is very difficult for national compilers to have both classifications. In that case, the recommended classification by activity is that of the direct investment enterprise. On the outward side, national compilers are not always able to classify their FDI data according to the activity of the direct investment enterprise. In that case, the classification used as a proxy is the activity of the direct investor.  Alongside with International Trade in Services Statistics (ITSS) and Foreign Affiliates Trade Statistics (FATS), FDI data are relevant to monitor the overall effectiveness and competitiveness of different economies in the globalised world.
    • 7月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 20 11月, 2015
      データセットを選択
      Eurostat uses as a base for its work the OECD Benchmark Definition of Foreign Direct Investment Third Edition, a detailed operational definition fully consistent with the IMF Balance of Payments Manual, Fifth Edition, BPM5. Foreign direct investment (FDI) is the category of international investment made by an entity resident in one economy (direct investor) to acquire a lasting interest in an enterprise operating in another economy (direct investment enterprise). The lasting interest is deemed to exist if the direct investor acquires at least 10% of the voting power of the direct investment enterprise. FDI statistics record separately: 1) Inward FDI (or FDI in the reporting economy), namely investment by foreigners in enterprises resident in the reporting economy. 2) Outward FDI (or FDIabroad), namely investment by residents entities in affiliated enterprises abroad. FDI statistics record both the initial investment and all subsequent investment made by the direct investor, either in the form of equity capital, or in the form of loans, or in the form of reinvesting earnings. Investment made through other affiliated enterprises of the same group of the direct investor should also be recorded according to the international methodology. There are three main indicators: FDI flows, stocks and income. The indicators described in more detail below are presented in the complete tables with a breakdown by partner country or region and a breakdown by the kind of activity in which FDI is made. In the table called "Main indicators" there is a reduced breakdown by partners and data for total activity only. See the part on classification system for more detail. See also the User's guideon the structure on the database and for practical information on data downloading. 1) FDI flows denote the new investment made during the period. FDI flows are recorded in the Balance of Payments financial account. Total FDI flows are broken down by kind of instrument used for making the investment:Equity capital comprises equity in branches, all shares in subsidiaries and associates (except non-participating, preferred shares that are treated as debt securities and are included under other FDI capital) and other contributions such as the provision of machinery.Reinvested earnings consist of the direct investor's share (in proportion to equity participation) of earnings not distributed by the direct investment enterprise. Reinvested earnings are an imputed transaction. Reinvested earnings are also recorded with opposite sign among FDI income (see below). This recording represents not distributed income as being earned by the direct investor and reinvested in the direct investment enterprise at the same time.Other FDI capital (loans) covers the borrowing and lending of funds, including debt securities and trade credits between direct investors and direct investment enterprises. Debt transactions between affiliated financial intermediaries recorded under direct investment flows are limited to permanent debt. 2) FDI stocks (or positions) denote the value of the investment at the end of the period. FDI stocks are recorded in the International Investment Position. Outward FDI stocks are recorded as assets of the reporting economy, inward FDI stocks as liabilities. Similarly with flows, FDI stocks are broken down by kind of instrument. However, there are only two categories instead of three:Equity capital and reinvested earnings is the value of the own capital of the enterprise, including the value of own reserves that are accumulated from past reinvested earnings. Reserves corresponding to reinvested earnings are not shown separately from other equity capital as in the case of flows.Other FDI capital is the stock of debts (assets or liabilities) between the direct investors and the direct investment enterprise. 3) FDI income is the income accruing to direct investors during the period. FDI income is recorded in the current account of the Balance of Payments. Total FDI income is broken down by kind of income. The categories of FDI income available are linked to the breakdown of FDI flows and stocks by kind of instrument, namely:Dividends Dividends payable in the period and branch profits remitted to the direct investor, gross of any withholding taxes. Dividends include payments due on common and preferred shares.Reinvested earnings See definition under FDI flows.Interest on loans Interest accrued in the period on loans (other FDI capital) with affiliated enterprises, gross of any withholding tax. 4) FDI intensity Out of FDI annual data, an indicator useful to measure EU market integration is also calculated and disseminated in the domain Structural Indicators:FDI intensity as % of GDP: Average of inward and outward FDI flows divided by GDP. A higher index indicates higher new FDI during the period in relation to the size of the economy as measured by GDP. If this index increases over time, then the country/zone is becoming more integrated with the international economy.
    • 7月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 20 11月, 2015
      データセットを選択
      Eurostat uses as a base for its work the OECD Benchmark Definition of Foreign Direct Investment Third Edition, a detailed operational definition fully consistent with the IMF Balance of Payments Manual, Fifth Edition, BPM5. Foreign direct investment (FDI) is the category of international investment made by an entity resident in one economy (direct investor) to acquire a lasting interest in an enterprise operating in another economy (direct investment enterprise). The lasting interest is deemed to exist if the direct investor acquires at least 10% of the voting power of the direct investment enterprise. FDI statistics record separately: 1) Inward FDI (or FDI in the reporting economy), namely investment by foreigners in enterprises resident in the reporting economy. 2) Outward FDI (or FDIabroad), namely investment by residents entities in affiliated enterprises abroad. FDI statistics record both the initial investment and all subsequent investment made by the direct investor, either in the form of equity capital, or in the form of loans, or in the form of reinvesting earnings. Investment made through other affiliated enterprises of the same group of the direct investor should also be recorded according to the international methodology. There are three main indicators: FDI flows, stocks and income. The indicators described in more detail below are presented in the complete tables with a breakdown by partner country or region and a breakdown by the kind of activity in which FDI is made. In the table called "Main indicators" there is a reduced breakdown by partners and data for total activity only. See the part on classification system for more detail. See also the User's guideon the structure on the database and for practical information on data downloading. 1) FDI flows denote the new investment made during the period. FDI flows are recorded in the Balance of Payments financial account. Total FDI flows are broken down by kind of instrument used for making the investment:Equity capital comprises equity in branches, all shares in subsidiaries and associates (except non-participating, preferred shares that are treated as debt securities and are included under other FDI capital) and other contributions such as the provision of machinery.Reinvested earnings consist of the direct investor's share (in proportion to equity participation) of earnings not distributed by the direct investment enterprise. Reinvested earnings are an imputed transaction. Reinvested earnings are also recorded with opposite sign among FDI income (see below). This recording represents not distributed income as being earned by the direct investor and reinvested in the direct investment enterprise at the same time.Other FDI capital (loans) covers the borrowing and lending of funds, including debt securities and trade credits between direct investors and direct investment enterprises. Debt transactions between affiliated financial intermediaries recorded under direct investment flows are limited to permanent debt. 2) FDI stocks (or positions) denote the value of the investment at the end of the period. FDI stocks are recorded in the International Investment Position. Outward FDI stocks are recorded as assets of the reporting economy, inward FDI stocks as liabilities. Similarly with flows, FDI stocks are broken down by kind of instrument. However, there are only two categories instead of three:Equity capital and reinvested earnings is the value of the own capital of the enterprise, including the value of own reserves that are accumulated from past reinvested earnings. Reserves corresponding to reinvested earnings are not shown separately from other equity capital as in the case of flows.Other FDI capital is the stock of debts (assets or liabilities) between the direct investors and the direct investment enterprise. 3) FDI income is the income accruing to direct investors during the period. FDI income is recorded in the current account of the Balance of Payments. Total FDI income is broken down by kind of income. The categories of FDI income available are linked to the breakdown of FDI flows and stocks by kind of instrument, namely:Dividends Dividends payable in the period and branch profits remitted to the direct investor, gross of any withholding taxes. Dividends include payments due on common and preferred shares.Reinvested earnings See definition under FDI flows.Interest on loans Interest accrued in the period on loans (other FDI capital) with affiliated enterprises, gross of any withholding tax. 4) FDI intensity Out of FDI annual data, an indicator useful to measure EU market integration is also calculated and disseminated in the domain Structural Indicators:FDI intensity as % of GDP: Average of inward and outward FDI flows divided by GDP. A higher index indicates higher new FDI during the period in relation to the size of the economy as measured by GDP. If this index increases over time, then the country/zone is becoming more integrated with the international economy.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
       Foreign Direct Investment (FDI) encompasses all kind of cross-border investment made by an entity resident in one economy (direct investor) to acquire a lasting interest in an enterprise operating in another economy (direct investment enterprise). FDI is one of the five main functional categories of investment used in international accounts to classify either the Internal Investment Positions (IIP) or the Balance of Payment (BOP) statements of a given economy (vis-à-vis the rest of the world). Foreign Direct Investment positions show at a point in time (generally, end of a reference year) the value of financial direct investment assets of residents of an economy on non-residents, and financial direct investment liabilities of residents of an economy to non-resident. The net FDI position is the difference between assets and liabilities, which is also equivalent (under the directional principle presentation) to the difference between FDI positions abroad and in the reporting economy. The net FDI position represents either a net FDI claim or a net FDI liability to the rest of the world.        Foreign direct investment transactions summarize all economic direct investment interactions between the residents and the non-residents during a given period. Two types of FDI transactions can be identified (within the BOP framework) according to the economic meaning they convey: FDI income is a distributive transaction showing amounts payable and receivable between resident and non-resident entities in return for providing financial direct investment assets to the rest of the world, or incurring direct investment liabilities vis-à-vis the rest of the world.FDI flows refer to financial transactions showing the net acquisition or disposal of financial assets and liabilities involved in direct investment relationships.FDI positions, FDI income and FDI flows are disseminated by Eurostat together with estimated EU FDI aggregates (directly produced by Eurostat).  Other FDI changes that are not transaction changes, such as volume, value or prices changes, are not treated by Eurostat under the scope of annual FDI statistics. Annual FDI data are disseminated by Eurostat according to the directional principle (see sub section 3.4 below). The geographical allocation is made according to the economic residence of the immediate direct investor or immediate direct investment company (immediate counterparts). FDI data classified according to ultimate investor or host economy are not yet available at Eurostat (see 12.1).  International Guides recommend the classification of FDI data both according to the activity of the direct investor and the activity of the direct investment enterprise. In practice, it is very difficult for national compilers to have both classifications. In that case, the recommended classification by activity is that of the direct investment enterprise. On the outward side, national compilers are not always able to classify their FDI data according to the activity of the direct investment enterprise. In that case, the classification used as a proxy is the activity of the direct investor.  Alongside with International Trade in Services Statistics (ITSS) and Foreign Affiliates Trade Statistics (FATS), FDI data are relevant to monitor the overall effectiveness and competitiveness of different economies in the globalised world.
    • 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
      20.1. Source data
    • 6月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 7月, 2016
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 11月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 01 12月, 2017
      データセットを選択
      Eurostat uses as a base for its work the OECD Benchmark Definition of Foreign Direct Investment Third Edition, a detailed operational definition fully consistent with the IMF Balance of Payments Manual, Fifth Edition, BPM5. Foreign direct investment (FDI) is the category of international investment made by an entity resident in one economy (direct investor) to acquire a lasting interest in an enterprise operating in another economy (direct investment enterprise). The lasting interest is deemed to exist if the direct investor acquires at least 10% of the voting power of the direct investment enterprise. FDI statistics record separately: 1) Inward FDI (or FDI in the reporting economy), namely investment by foreigners in enterprises resident in the reporting economy. 2) Outward FDI (or FDIabroad), namely investment by residents entities in affiliated enterprises abroad. FDI statistics record both the initial investment and all subsequent investment made by the direct investor, either in the form of equity capital, or in the form of loans, or in the form of reinvesting earnings. Investment made through other affiliated enterprises of the same group of the direct investor should also be recorded according to the international methodology. There are three main indicators: FDI flows, stocks and income. The indicators described in more detail below are presented in the complete tables with a breakdown by partner country or region and a breakdown by the kind of activity in which FDI is made. In the table called "Main indicators" there is a reduced breakdown by partners and data for total activity only. See the part on classification system for more detail. See also the User's guideon the structure on the database and for practical information on data downloading. 1) FDI flows denote the new investment made during the period. FDI flows are recorded in the Balance of Payments financial account. Total FDI flows are broken down by kind of instrument used for making the investment: Equity capital comprises equity in branches, all shares in subsidiaries and associates (except non-participating, preferred shares that are treated as debt securities and are included under other FDI capital) and other contributions such as the provision of machinery. Reinvested earnings consist of the direct investor's share (in proportion to equity participation) of earnings not distributed by the direct investment enterprise. Reinvested earnings are an imputed transaction. Reinvested earnings are also recorded with opposite sign among FDI income (see below). This recording represents not distributed income as being earned by the direct investor and reinvested in the direct investment enterprise at the same time. Other FDI capital (loans) covers the borrowing and lending of funds, including debt securities and trade credits between direct investors and direct investment enterprises. Debt transactions between affiliated financial intermediaries recorded under direct investment flows are limited to permanent debt. 2) FDI stocks (or positions) denote the value of the investment at the end of the period. FDI stocks are recorded in the International Investment Position. Outward FDI stocks are recorded as assets of the reporting economy, inward FDI stocks as liabilities. Similarly with flows, FDI stocks are broken down by kind of instrument. However, there are only two categories instead of three: Equity capital and reinvested earnings is the value of the own capital of the enterprise, including the value of own reserves that are accumulated from past reinvested earnings. Reserves corresponding to reinvested earnings are not shown separately from other equity capital as in the case of flows. Other FDI capital is the stock of debts (assets or liabilities) between the direct investors and the direct investment enterprise. 3) FDI income is the income accruing to direct investors during the period. FDI income is recorded in the current account of the Balance of Payments. Total FDI income is broken down by kind of income. The categories of FDI income available are linked to the breakdown of FDI flows and stocks by kind of instrument, namely: Dividends Dividends payable in the period and branch profits remitted to the direct investor, gross of any withholding taxes. Dividends include payments due on common and preferred shares. Reinvested earnings See definition under FDI flows. Interest on loans Interest accrued in the period on loans (other FDI capital) with affiliated enterprises, gross of any withholding tax. 4) FDI intensity Out of FDI annual data, an indicator useful to measure EU market integration is also calculated and disseminated in the domain Structural Indicators: FDI intensity as % of GDP: Average of inward and outward FDI flows divided by GDP. A higher index indicates higher new FDI during the period in relation to the size of the economy as measured by GDP. If this index increases over time, then the country/zone is becoming more integrated with the international economy.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      A yield curve (which is known as the term structure of interest rates) represents the relationship between market remuneration (interest) rates and the remaining time to maturity of debt securities. The zero coupon yield curves and their corresponding time series are calculated using "AAA-rated" euro area central government bonds, i.e. debt securities with the most favourable credit risk assessment. They represent the yields to maturity of hypothetical zero coupon bonds. Source: European Central Bank.
    • 2月 2024
      ソース: European Commission
      アップロード者: Knoema
      以下でアクセス: 22 2月, 2024
      データセットを選択
      Dataset includes European Economic economic forecast releases from Autumn 2017 through Winter 2023.
    • 5月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 6月, 2020
      データセットを選択
      Eurostat Dataset Id:med_ec9 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â
    • 10月 2015
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 22 10月, 2015
      データセットを選択
      Recent exchange rate movements have been unusually large, triggering a debate regarding their likely effects on trade. Historical experience in advanced and emerging market and developing economies suggests that exchange rate movements typically have sizable effects on export and import volumes. A 10 percent real effective depreciation in an economy’s currency is associated with a rise in real net exports of, on average, 1.5 percent of GDP, with substantial cross-country variation around this average. Although these effects fully materialize over a number of years, much of the adjustment occurs in the first year. The boost to exports associated with currency depreciation is found to be largest in countries with initial economic slack and with domestic financial systems that are operating normally. Some evidence suggests that the rise of global value chains has weakened the relationship between exchange rates and trade in intermediate products used as inputs into other economies’ exports. However, the bulk of global trade still consists of conventional trade, and there is little evidence of a general trend toward disconnect between exchange rates and total exports and imports.
    • 7月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 7月, 2023
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    • 10月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 25 10月, 2023
      データセットを選択
      The export market share is calculated by dividing the exports of the country by the total exports of the region/world. The indicator measures the degree of importance of a country within the total exports of the region/world. For the calculation at current prices, the market share refers to the world trade (world export market share). Data on the values of exports of goods and services are compiled as part of the Balance of Payments of each country. To capture the structural losses in competitiveness that can accumulate over longer time periods, the indicator is calculated as 5 years % change - comparing year Y with year Y-5. A country might lose shares of export market not only if exports decline but most importantly if its exports do not grow at the same rate of world exports and its relative position at the global level deteriorates. The MIP scoreboard indicator is the percentage change of export market shares (of goods and services) over five years, with a lower indicative threshold of -6%. The formula is: [[(EXPc,t/EXPworld,t)-(EXPc,t-5/EXPworld,t-5)]/(EXPc,t-5/EXPworld,t-5)]*100 Source of total world data used as denominator: International Monetary Fund (IMF).
    • 4月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 12月, 2015
      データセットを選択
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      This indicator is the value of exports of goods and services divided by the GDP in current prices.
    • 4月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 12月, 2015
      データセットを選択
    • 10月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 26 10月, 2023
      データセットを選択
      The table shows the breakdown of the Extra-EU exports by invoicing currency and by the main product groups. Shares by invoicing currency are calculated, within each product group, on the total flow.
    • 10月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 26 10月, 2023
      データセットを選択
      The table shows the breakdown of the Extra-EU imports by invoicing currency and by the main product groups. Shares by invoicing currency are calculated, within each product group, on the total flow.
  • F
    • 12月 2023
      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: 22 12月, 2023
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    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Average of inward and outward Foreign Direct Investment (FDI) flows divided by gross domestic product (GDP). The index measures the intensity of investment integration within the international economy. The direct investment refers to the international investment made by a resident entity (direct investor) to acquire a lasting interest in an entity operating in an economy other than that of the investor (direct investment enterprise). Direct investment involves both the initial transactions between the two entities and all subsequent capital transactions between them and among affiliated enterprises, both incorporated and unincorporated. Data are expressed as percentage of GDP to remove the effect of differences in the size of the economies of the reporting countries.
    • 4月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 12月, 2015
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    • 12月 2023
      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 12月, 2023
      データセットを選択
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Data in this domain constitute only a small part of the entire National Accounts data range available from Eurostat. Annual and quarterly national accounts are compiled in accordance with the European System of Accounts - ESA 2010 as defined in Annex B of the Council Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013. The previous European System of Accounts, ESA95, was reviewed to bring national accounts in the European Union, in line with new economic environment, advances in methodological research and needs of users and the updated national accounts framework at the international level, the SNA 2008. The revisions are reflected in an updated Regulation of the European Parliament and of the Council on the European system of national and regional accounts in the European Union of 2010 (ESA 2010). The associated transmission programme is also updated and data transmissions in accordance with ESA 2010 are compulsory from September 2014 onwards. Further information on the transition from ESA 95 to ESA 2010 is presented on the Eurostat website. The annual data of this domain consists of the following collections: 1. Main GDP aggregates: main components from the output, expenditure and income side. nama_10_gdp: GDP and main components (output, expenditure and income) The quarterly data of this domain consists of the following collections 1. Main GDP aggregates, main components from the output, expenditure and income side, expenditure breakdowns by industry and assets. namq_10_ma: Main GDP aggregatesnamq_10_gdp: GDP and main components (output, expenditure and income)namq_10_fcs: Final consumption aggregates by durabilitynamq_10_exi: Exports and imports by Member States of the EU/third countries 2. Breakdowns of GDP aggregates and employment data by main industries and asset classes. namq_10_bbr: Basic breakdowns main GDP aggregates and employment (by industry and assets)namq_10_a10: Gross value added and income by A*10 industrynamq_10_an6: Gross fixed capital formation by AN_F6 asset typenamq_10_a10_e: Employment by A*10 industry breakdowns Geographical entities covered are the European Union, the euro area, EU Member States, Candidate Countries, EFTA countries, US, Japan and possibly other countries on an ad-hoc basis. Data sources: National Statistical Institutes.
    • 9月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 10月, 2016
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    • 9月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 10月, 2016
      データセットを選択
    • 9月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 10月, 2016
      データセットを選択
    • 9月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 10月, 2016
      データセットを選択
    • 5月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 6月, 2020
      データセットを選択
      Eurostat Dataset Id:med_ec2 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Final consumption expenditure by general government includes the value of goods and services purchased or produced by general government and directly supplied to private households for consumption purposes.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Private consumption expenditure consists of expenditure incurred for the direct satisfaction of individual or collective needs by private households or non-profit institutions serving households (such as religious societies, sports and other clubs, political parties, etc.).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Private consumption expenditure consists of expenditure incurred for the direct satisfaction of individual or collective needs by private households or non-profit institutions serving households (such as religious societies, sports and other clubs, political parties, etc.). The data are presented in % of GDP and million units of national currency.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Final consumption expenditure consists of expenditure incurred by resident institutional units on goods or services that are used for the direct satisfaction of individual needs or wants or the collective needs of members of the community (ESA 2010 3.94). Private final consumption expenditure includes households' and Non Profit Institutions Serving Households (NPISH's) final consumption expenditure. Data are calculated as chain-linked volumes (i.e. data at previous year's prices, linked over the years via appropriate growth rates). Growth rates 'q/q-1 (sca)' with respect to the previous quarter and 'q/q-4 (sca)' with respect to the same quarter of the previous year are calculated from calendar and seasonally adjusted figures while growth rates 'q/q-4 (nsa)' with respect to the same quarter of the previous year are calculated from raw data.
    • 9月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 01 10月, 2016
      データセットを選択
    • 9月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 10月, 2016
      データセットを選択
    • 9月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 01 10月, 2016
      データセットを選択
    • 9月 2011
      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
      This is a one-off survey, not intended to be repeated.  Access to finance is crucial to business success and an important factor for economic growth in Europe following the economic crisis in 2007. The purpose of the survey is to:Examine where there may be constraints on the availability of finance, and how those may be changing.Provide evidence on the need for finance (loans, equity and other) in the future, for example to promote growth.Identify the sources from which businesses would wish to obtain this finance.  It is important to be able to compare businesses that have shown sharp growth in recent years with those that have not; and to separate more recently formed businesses from others. As a consequence, the survey will collect information separately for "gazelles" (defined at page 3 below); other high-growth businesses that have been established longer than gazelles; and other businesses. Only businesses with an employment of 10-249 in 2005 and at least 10 employees in 2010 are being covered.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The Financial account records transactions that involve financial assets and liabilities that have taken place between residents and non-residents. The financial account shows transactions in net terms: net acquisitions of financial assets correspond to gross acquisitions of assets less gross sales of assets; net incurrence of liabilites corresponds to gross incurrence of liabilites less gross decrease in liabilites. According to the functional sub-division cross-border financial transactions and positions are classified as Direct investment, Portfolio investment, Financial derivatives (other than reserves) and employee stock options, Other investment, and Reserve assets. Cross-border financial transactions and positions are further classified by type of instrument and institutional sector. The financial account together with the current and capital accounts forms the Balance of Payments (BoP). The data are expressed as % of GDP and million of national currency. The indicator is based on the Balance of Payments (BoP) data reported to Eurostat by the EU Member States. Definitions are based on the IMF's Sixth Balance of Payments Manual (BPM6).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a geographical region during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services, a component of BoP current account, and data on Foreign Direct Investment, a component of BoP financial account, are used to monitor the external commercial performance of different economies. Outward Foreign Affiliates Statistics (FATS) measure the commercial presence, as defined by the General Agreement on Trade in Services (GATS), through affiliates in foreign markets. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports.  Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU or in millions of national currency. Balance of Payments data coverage varies according to the collection. Some collections refer only to Euro area or EU countries, while some others' coverage includes also EU partner countries.   Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide 2003. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.    More information on BoP is available for each specific collection: Quarterly BoP, ITS, FDI, Outward FATS, BoP of EU Institutions.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The Financial account records transactions that involve financial assets and liabilities that have taken place between residents and non-residents. The financial account shows transactions in net terms: net acquisitions of financial assets correspond to gross acquisitions of assets less gross sales of assets; net incurrence of liabilites corresponds to gross incurrence of liabilites less gross decrease in liabilites. According to the functional sub-division cross-border financial transactions and positions are classified as Direct investment, Portfolio investment, Financial derivatives (other than reserves) and employee stock options, Other investment, and Reserve assets. Cross-border financial transactions and positions are further classified by type of instrument and institutional sector. The financial account together with the current and capital accounts forms the Balance of Payments (BoP). The data are expressed as % of GDP and million units of national currency. The indicator is based on the Balance of Payments (BoP) data reported to Eurostat by the EU Member States. Starting from October 2014 definitions are based on the IMF's Sixth Balance of Payments Manual (BPM6).
    • 11月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 11月, 2023
      データセットを選択
      Financial flows and stocks data are often referred to collectively in the national accounts framework as 'financial accounts'. Financial flows consist of transactions and other flows, and represent the difference between the opening financial balance sheet at the start of the year and the closing balance sheet at the end of the year. The data are compiled in accordance with the European System of Accounts (ESA 2010), which came into force in September 2014, and are presented here in the following tables: 'Financial transactions', 'Other changes in volume', 'Revaluation account', and 'Financial balance sheets'. 
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
    • 7月 2012
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 25 7月, 2012
      データセットを選択
      Note:i) All the Data Present in this dataset are "Not seasonally adjusted data (NSA)". ii)Eurostat Hierarchy: General and regional statistics > European and national short term indicators (euroind) > Monetary and financial indicators (ei_mf).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
    • 8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
      The Quarterly Sector Accounts (QSA) are compiled in accordance with the European System of Accounts - ESA 1995 (Council Regulation 2223/96). The transmission of the QSA data by the Member States follows the Regulation (EC) N° 1161/2005 of the European Parliament and of the Council (QSA regulation). The QSA encompass the non-financial accounts and provide a description of the different stages of the economic process: production, generation of income, distribution of income, redistribution of income, use of income and non-financial accumulation. The compilation of QSA is the outcome of a close collaboration by Eurostat and the ECB, in cooperation with the national statistical institutes and national central banks. The ECB and Eurostat are publishing integrated non-financial and financial accounts, including financial balance sheets, for the euro area (the euro area accounts). Eurostat is also publishing the non-financial accounts for the EU. The QSA record the economic flows of institutional sectors in order to illustrate their economic behaviour and show relations between them. They also provide a list of balancing items that have high analytical value in their own right: value added, operating surplus and mixed income, balance of primary incomes, disposable income, saving, net lending / net borrowing. All of them but net lending / net borrowing, can be expressed in gross or net terms, i.e. with and without consumption of fixed capital that accounts for the use and obsolescence of fixed assets. In terms of institutional sectors, a broad distinction is made between the domestic economy (ESA 1995 classification code S.1) and the rest of the world (S.2). Within S.1, in turn, the following institutional sectors are distinguished: - Non-financial Corporations (S.11) - Financial Corporations (S.12) - General Government (S.13) - Households and Non-profit Institutions Serving Households (S.14 + S.15). The full set of quarterly sector accounts is published for euro area / EU28 aggregates only. However, a subset of quarterly national key indicators is available at dedicated section (see "Quarterly data") as well as in the database (see table "Key indicators") for most of the 17 members of the European Economic Area (EEA) whose GDP is above 1% of the EU28 total. The other EEA members do not have to transmit the quarterly accounts of corporations and households to Eurostat. Non-financial accounts are presented in the table "Non-financial transactions" (nasq_nf_tr). The other three tables (only the Euro area) include financial accounts, other flows and balance sheets. QSA data are provided at current prices only. The key indicators (and their components) of households and non-financial corporations as published in the QSA news release are seasonally adjusted. Data are presented in millions of national currency, euro and as percentages.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The international investment position (IIP) is a statistical statement that shows at a point in time the value and composition of: -financial assets of residents of an economy that are claims on non-residents and gold bullion held as reserve assets, and -liabilities of residents of an economy to non-residents. The difference between an economy’s external financial assets and liabilities is the economy’s net IIP, which may be positive or negative. According to the functional category, the cross-border financial positions are classified as: 1) For the assets - Direct investment; Portfolio investment; Financial derivatives and employee stock options ; Other investment and Reserve assets 2) For the liabilities - Direct investment; Portfolio investment; Financial derivatives and employee stock options and Other investment The financial positions are further classified according the different instruments and institutional sectors. The data are expressed in million units of national currency. The indicator is based on the Eurostat data from the Balance of payment statistics, these data are quaterly reported to the ECB by the EU Member States. Definitions are based on the IMF Sixth Balance of Payments Manual (BPM6).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The international investment position (IIP) is a statistical statement that shows at a point in time the value and composition of: -financial assets of residents of an economy that are claims on non-residents and gold bullion held as reserve assets, and -liabilities of residents of an economy to non-residents. The difference between an economy’s external financial assets and liabilities is the economy’s net IIP, which may be positive or negative. According to the functional category, the cross-border financial positions are classified as: 1) For the assets - Direct investment; Portfolio investment; Financial derivatives and employee stock options ; Other investment and Reserve assets 2) For the liabilities - Direct investment; Portfolio investment; Financial derivatives and employee stock options and Other investment The financial positions are further classified according the different instruments. The data on portfolio investment are expressed in million units of national currency. The indicator is based on the Eurostat data from the Balance of payment statistics, these data are quaterly reported to the ECB by the EU Member States. Definitions are based on the IMF Sixth Balance of Payments Manual (BPM6).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The international investment position (IIP) is a statistical statement that shows at a point in time the value and composition of: -financial assets of residents of an economy that are claims on non-residents and gold bullion held as reserve assets, and -liabilities of residents of an economy to non-residents. The difference between an economy’s external financial assets and liabilities is the economy’s net IIP, which may be positive or negative. According to the functional category, the cross-border financial positions are classified as: 1) For the assets - Direct investment; Portfolio investment; Financial derivatives and employee stock options ; Other investment and Reserve assets 2) For the liabilities - Direct investment; Portfolio investment; Financial derivatives and employee stock options and Other investment The financial positions are further classified according the different instruments and institutional sectors. The data are expressed in million units of national currency. The indicator is based on the Eurostat data from the Balance of payment statistics, these data are quaterly reported to the ECB by the EU Member States. Definitions are based on the IMF Sixth Balance of Payments Manual (BPM6).
    • 5月 2022
      ソース: Tax Justice Network
      アップロード者: Knoema
      以下でアクセス: 31 5月, 2022
      データセットを選択
      Data cited at: tax justice network - https://fsi.taxjustice.net/en/introduction/fsi-results;  License term - https://fsi.taxjustice.net/en/introduction/copyright-license     Jurisdiction Note for Year 2020: Footnote 1: The territories marked in dark color are Overseas Territories (OTs) and Crown Dependencies (CDs) where the Queen is head of state; powers to appoint key government officials rest with the British Crown; laws must be approved in London; and the UK government holds various other powers (see here for more details: www.financialsecrecyindex.com/PDF/UnitedKingdom.pdf). Territories marked in light color are British Commonwealth territories which are not OTs or CDs but whose final court of appeal is the Judicial Committee of the Privy Council in London (see here for more details: http://www.taxjustice.net/cms/upload/pdf/Privy_Council_and_Secrecy_Scores.pdf). Footnote 6: For jurisdictions marked with 2, we provide special narrative reports exploring the history and politics of their offshore sectors. You can read and download these reports by clicking on the country name.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      データセットを選択
      The Financial sector leverage (debt-to-equity ratio) indicator shows the relative proportion of debt used to finance assets to shareholders' equity. It is obtained as the ratio of the sum of Currency and deposits, Debt securities, Loans and Financial derivatives and employee stock options to Equity and investment fund shares.
    • 3月 2009
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 30 3月, 2023
      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.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The financial flows and stocks data are reported quarterly to the European Central Bank. Once validated the data are transmitted to Eurostat.  Financial flows consist of transactions and other flows and represent  the difference between opening balance sheet  at the beginning of the year and closing balance sheet at the end of the year
    • 8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
      The Quarterly Sector Accounts (QSA) are compiled in accordance with the European System of Accounts - ESA 1995 (Council Regulation 2223/96). The transmission of the QSA data by the Member States follows the Regulation (EC) N° 1161/2005 of the European Parliament and of the Council (QSA regulation). The QSA encompass the non-financial accounts and provide a description of the different stages of the economic process: production, generation of income, distribution of income, redistribution of income, use of income and non-financial accumulation. The compilation of QSA is the outcome of a close collaboration by Eurostat and the ECB, in cooperation with the national statistical institutes and national central banks. The ECB and Eurostat are publishing integrated non-financial and financial accounts, including financial balance sheets, for the euro area (the euro area accounts). Eurostat is also publishing the non-financial accounts for the EU. The QSA record the economic flows of institutional sectors in order to illustrate their economic behaviour and show relations between them. They also provide a list of balancing items that have high analytical value in their own right: value added, operating surplus and mixed income, balance of primary incomes, disposable income, saving, net lending / net borrowing. All of them but net lending / net borrowing, can be expressed in gross or net terms, i.e. with and without consumption of fixed capital that accounts for the use and obsolescence of fixed assets. In terms of institutional sectors, a broad distinction is made between the domestic economy (ESA 1995 classification code S.1) and the rest of the world (S.2). Within S.1, in turn, the following institutional sectors are distinguished: - Non-financial Corporations (S.11) - Financial Corporations (S.12) - General Government (S.13) - Households and Non-profit Institutions Serving Households (S.14 + S.15). The full set of quarterly sector accounts is published for euro area / EU28 aggregates only. However, a subset of quarterly national key indicators is available at dedicated section (see "Quarterly data") as well as in the database (see table "Key indicators") for most of the 17 members of the European Economic Area (EEA) whose GDP is above 1% of the EU28 total. The other EEA members do not have to transmit the quarterly accounts of corporations and households to Eurostat. Non-financial accounts are presented in the table "Non-financial transactions" (nasq_nf_tr). The other three tables (only the Euro area) include financial accounts, other flows and balance sheets. QSA data are provided at current prices only. The key indicators (and their components) of households and non-financial corporations as published in the QSA news release are seasonally adjusted. Data are presented in millions of national currency, euro and as percentages.
    • 8月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 12月, 2015
      データセットを選択
      Financial transactions in assets and liabilities, consolidated and non-consolidated, for all the sectors of the economy and in relation to rest of the world. (Tables 610 and 620 of ESA 95 transmission programme)
    • 10月 2011
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 6月, 2019
      データセットを選択
      Foreign Affiliates Statistics (FATS) measure the commercial presence through affiliates in foreign markets. Inward FATS describe the overall activity of foreign affiliates resident in the compiling economy. Inward FATS deliver information on the following characteristics of foreign affiliates: 11110 Number of enterprises (expressed in units)12110 Turnover (millions of €)12120 Production value (m€)12150 Value added at factor cost (m€)13110 Total purchases of goods and services (m€)13120 Purchases of goods and services purchased for resale in the same condition as received (m€)13310 Personnel costs (m€)15110 Gross investment in tangible goods (m€)16110 Number of persons employed (units)16130 Number of employees on a voluntary basis or if 16110 is not available (units)22110 Total intra-mural R&D expenditure (from 2009 onwards, biennial, m€)22120 Total number of R&D personnel (from 2009 onwards, biennial, units)From reference year 2007 onwards, inward FATS data has been collected according to the Regulation (EC) No 716/2007 of the European Parliament and the Council on Community statistics on the structure and activity of foreign affiliates (the FATS Regulation - consolidated version). Data for reference years 1996-2006 were collected on a voluntary basis and thus they were not complete in terms of country coverage and the methodology of data compilation was not harmonised. From 2007, the FATS Recommendations Manual lays down detailed guidelines for the methodology, collection and compilation in the European Union.
    • 3月 2009
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 29 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.
    • 9月 2023
      ソース: United Nations Conference on Trade and Development
      アップロード者: Jonathan Kilach
      以下でアクセス: 10 10月, 2023
      データセットを選択
      This dataset contains information on foreign direct investment (FDI) inward and outward flows and stock, expressed in millions of dollars. Foreign direct investment (FDI) is an investment made by a resident enterprise in one economy (direct investor or parent enterprise) with the objective of establishing a lasting interest in an enterprise that is resident in another economy (direct investment enterprise or foreign affiliate). The lasting interest implies the existence of a long-term relationship between the direct investor and the direct investment enterprise and a significant degree of influence on the management of the enterprise. The ownership of 10% or more of the voting power of a direct investment enterprise by a direct investor is evidence of such a relationship. FDI flows comprise mainly three components:acquisition or disposal of equity capital. FDI includes the initial equity transaction that meets the 10% threshold and all subsequent financial transactions and positions between the direct investor and the direct investment enterprise;reinvestment of earnings which are not distributed as dividends;inter-company debt.   FDI flows are transactions recorded during the reference period (typically year or quarter). FDI stocks are the accumulated value held at the end of the reference period (typically year or quarter). In 2014, many countries implemented the new guidelines for the compilation of FDI data based on the Sixth edition of the Balance of Payments and International Investment Position Manual (BPM6) and the Fourth edition of OECD Benchmark Definition of Foreign Direct Investment (BD4). One of the major changes introduced in BPM6 and BD4 is the presentation of FDI statistics on an asset/liability basis instead of the directional principle (as recommended by the previous editions of these guidelines). On an asset/liability basis, direct investment statistics are organized according to whether the investment relates to an asset or a liability for the reporting country. Under the directional principle, the direct investment statistics are organized according to the direction of the investment for the reporting country - either inward or outward. The two presentations differ in their treatment of reverse investment (reverse investment is when an affiliate provides loans to its parent). Under the directional presentation, reverse investment is subtracted to derive the total outward or inward investment of the reporting economy. Therefore, FDI statistics on an asset/liability basis tends to be higher than those under the directional principle, but such is not always the case. While the presentation on an asset/liability basis is appropriate for macroeconomic analysis (i.e. the impact on the balance of payments), the presentation on directional principle is more appropriate to assist policymakers and government officials to formulate investment policies. This is because the presentation of the FDI data on directional basis reflects the direction of influence by the foreign direct investor underlying the direct investment: inward or outward direct investment. FDI data in this table are on directional principle, unless otherwise indicated.
    • 4月 2024
      ソース: Ministry of Commerce and Industry, India
      アップロード者: Knoema
      以下でアクセス: 14 4月, 2024
      データセットを選択
      Note: For latest Year, 2022 value is April to October.
    • 2月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 2月, 2023
      データセットを選択
    • 11月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 19 11月, 2021
      データセットを選択
    • 4月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 4月, 2022
      データセットを選択
  • G
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      データセットを選択
      National accounts are a coherent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making. The data presented in this collection are the results of a pilot exercise on the sharing selected main GDP aggregates, population and employment data collected by different international organisations. It wasconducted by the Task Force in International Data Collection (TFIDC) which was established by the  Inter-Agency Group on Economic and Financial Statistics (IAG).  The goal of this pilot is to develop a set of commonly shared principles and working arrangements for data cooperation that could be implemented by the international agencies. The data sets are an experimental exercise to present national accounts data form various countries across the globe in one coherent folder, but users should be aware that these data are collected and validated by different organisations and not fully harmonised from a methodological point of view.  The domain consists of the following collections:
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2024
      データセットを選択
      National accounts are a coherent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making. The data presented in this collection are the results of a pilot exercise on the sharing selected main GDP aggregates, population and employment data collected by different international organisations. It wasconducted by the Task Force in International Data Collection (TFIDC) which was established by the  Inter-Agency Group on Economic and Financial Statistics (IAG).  The goal of this pilot is to develop a set of commonly shared principles and working arrangements for data cooperation that could be implemented by the international agencies. The data sets are an experimental exercise to present national accounts data form various countries across the globe in one coherent folder, but users should be aware that these data are collected and validated by different organisations and not fully harmonised from a methodological point of view.  The domain consists of the following collections:
    • 9月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 10月, 2016
      データセットを選択
    • 9月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 10月, 2016
      データセットを選択
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Data in this domain constitute only a small part of the entire National Accounts data range available from Eurostat. Annual and quarterly national accounts are compiled in accordance with the European System of Accounts - ESA 2010 as defined in Annex B of the Council Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013. The previous European System of Accounts, ESA95, was reviewed to bring national accounts in the European Union, in line with new economic environment, advances in methodological research and needs of users and the updated national accounts framework at the international level, the SNA 2008. The revisions are reflected in an updated Regulation of the European Parliament and of the Council on the European system of national and regional accounts in the European Union of 2010 (ESA 2010). The associated transmission programme is also updated and data transmissions in accordance with ESA 2010 are compulsory from September 2014 onwards. Further information on the transition from ESA 95 to ESA 2010 is presented on the Eurostat website. The annual data of this domain consists of the following collections: 1. Main GDP aggregates: main components from the output, expenditure and income side.nama_10_gdp: GDP and main components (output, expenditure and income) The quarterly data of this domain consists of the following collections 1. Main GDP aggregates, main components from the output, expenditure and income side, expenditure breakdowns by industry and assets. namq_10_ma: Main GDP aggregatesnamq_10_gdp: GDP and main components (output, expenditure and income)namq_10_fcs: Final consumption aggregates by durabilitynamq_10_exi: Exports and imports by Member States of the EU/third countries 2. Breakdowns of GDP aggregates and employment data by main industries and asset classes. namq_10_bbr: Basic breakdowns main GDP aggregates and employment (by industry and assets)namq_10_a10: Gross value added and income by A*10 industrynamq_10_an6: Gross fixed capital formation by AN_F6 asset typenamq_10_a10_e: Employment by A*10 industry breakdowns Geographical entities covered are the European Union, the euro area, EU Member States, Candidate Countries, EFTA countries, US, Japan and possibly other countries on an ad-hoc basis. Data sources: National Statistical Institutes.
    • 6月 2012
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 14 6月, 2012
      データセットを選択
      GDP and main components dataset contains both Quarterly & Annual data for ; Current prices, volumes and Price indices
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Implicit deflators are calculated by dividing an aggregate measured in current prices by the same aggregate measured in constant prices. Implicit deflators are named after the aggregate used (Gross Domestic Product in this case). The deflator is calculated from seasonally and calendar adjusted GDP values and rescaled so that 2010 = 100. The ESA 2010 (European System of Accounts) regulation may be referred to for more specific explanations on methodology.
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 28 3月, 2024
      データセットを選択
      Data from 1st of December 2019. For most recent GDP data, consult dataset nama_10_gdp. Gross domestic product (GDP) is a measure for the economic activity. It is defined as the value of all goods and services produced less the value of any goods or services used in their creation. The volume index of GDP per capita in Purchasing Power Standards (PPS) is expressed in relation to the European Union average set to equal 100. If the index of a country is higher than 100, this country's level of GDP per head is higher than the EU average and vice versa. Basic figures are expressed in PPS, i.e. a common currency that eliminates the differences in price levels between countries allowing meaningful volume comparisons of GDP between countries. Please note that the index, calculated from PPS figures and expressed with respect to EU27_2020 = 100, is intended for cross-country comparisons rather than for temporal comparisons."
    • 3月 2024
      ソース: United Nations Economic Commission for Europe
      アップロード者: Knoema
      以下でアクセス: 05 4月, 2024
      データセットを選択
      GDP: Expenditure Approach, in National Currency, by Country and Expenditure
    • 2月 2021
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Raviraj Mahendran
      以下でアクセス: 01 4月, 2021
      データセットを選択
      General government debt-to-GDP ratio is the amount of a country's total gross government debt as a percentage of its GDP. It is an indicator of an economy's health and a key factor for the sustainability of government finance. "Debt" is commonly defined as a specific subset of liabilities identified according to the types of financial instruments included or excluded. Debt is thus obtained as the sum of the following liability categories (as applicable): currency and deposits; securities other than shares, except financial derivatives; loans; insurance technical reserves; and other accounts payable. Changes in government debt over time reflect the impact of government deficits. This indicator is measured as a percentage of GDP. All OECD countries compile their data according to the 2008 System of National Accounts (SNA).
    • 10月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 23 10月, 2023
      データセットを選択
      Public deficit/surplus is defined in the Maastricht Treaty as general government net borrowing/lending according to the European System of Accounts. The general government sector comprises central government, state government, local government, and social security funds. The relevant definitions are provided in Council Regulation 479/2009, as amended.
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 3月, 2024
      データセットを選択
      Public deficit/surplus is defined in the Maastricht Treaty as general government net borrowing/lending according to the European System of Accounts. The general government sector comprises central government, state government, local government, and social security funds. The relevant definitions are provided in Council Regulation 479/2009, as amended.
    • 10月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 23 10月, 2023
      データセットを選択
      General government gross fixed capital formation (ESA 2010 code P.51g) consists of resident producers' acquisitions, less disposals of fixed assets during a given period plus certain additions to the value of non-produced assets realised by the productive activity of government producer or units. Fixed assets are produced assets used in production for more than one year.
    • 10月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 23 10月, 2023
      データセットを選択
      The indicator is defined (in the Maastricht Treaty) as consolidated general government gross debt at nominal (face) value, outstanding at the end of the year in the following categories of government liabilities (as defined in ESA 2010): currency and deposits, debt securities and loans. The general government sector comprises the subsectors: central government, state government, local government and social security funds.
    • 1月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 1月, 2024
      データセットを選択
      The data correspond to quarterly government debt. Public debt is defined in the Maastricht Treaty as consolidated general government gross debt at nominal (face) value, outstanding at the end of the year. Data for the general government sector are consolidated between subsectors at the national level. Data are non-seasonally adjusted.
    • 10月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 23 10月, 2023
      データセットを選択
      For the purpose of the Excessive Deficit Procedure (EDP) in the Economic and monetary union (EMU), as well as for the Growth and Stability Pact, the current Protocol 12, annexed to the 2012 consolidated version of the Treaty on the Functioning of the European Union, provides a complete definition of government debt: debt means total gross debt at nominal value outstanding at the end of the year and consolidated between and within the sectors of general government. This definition is supplemented by Council Regulation (EC) No 479/2009, as amended by the Commission Regulation (EU) No 220/2014 (which has only updated references to ESA 2010 instruments) specifying the components of government debt with reference to the definitions of financial liabilities in ESA 2010. In this context, the stock of government debt in the Excessive Deficit Procedure (EDP debt) is equal to the sum of liabilities, at the end of year, of all units classified within the general government sector (S.13) in the following categories: AF.2 (currency and deposits) + AF.3 (debt securities) + AF.4 (loans). Basic data are expressed in national currency, converted into euro using end-year exchange rates for the euro provided by the European Central Bank (ECB). The MIP headline indicator is calculated as: [GGDt/GDPt]*100. The indicative threshold is 60% of GDP. The data are expressed in millions of units of national currency and in % of GDP.
    • 1月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 1月, 2024
      データセットを選択
      The quarterly government debt data are conceptually consistent with the corresponding annual data compiled on a national accounts (EDP and ESA 2010) basis. For the purpose of the Excessive Deficit Procedure (EDP) in the Economic and monetary union (EMU), as well as for the Growth and Stability Pact, the current Protocol 12, annexed to the 2012 consolidated version of the Treaty on the Functioning of the European Union, provides a complete definition of government debt: debt means total gross debt at nominal value outstanding at the end of the year and consolidated between and within the sectors of general government. This definition is supplemented by Council Regulation (EC) No 479/2009, as amended by the Commission Regulation (EU) No 220/2014 (which has only updated references to ESA 2010 instruments) specifying the components of government debt with reference to the definitions of financial liabilities in ESA 2010. The data are expressed in million units of national currency and in % of GDP. Data are non-seasonally adjusted. The differences between the annual and quarterly debt figures may arise as a result of different timetables in the transmission on revised data. Annual EDP data notified by Member States in April and October are the subject of a thorough verification by Eurostat, which can lead to a revision of past quarterly data.
    • 5月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 6月, 2020
      データセットを選択
      Eurostat Dataset Id:med_ps111 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â
    • 12月 2020
      ソース: World Economic Forum
      アップロード者: Raviraj Mahendran
      以下でアクセス: 28 12月, 2020
      データセットを選択
      Data cited at: The World Economic Forum https://www.weforum.org/ Topic: The Global Competitiveness Report Publication URL: https://www.weforum.org/reports/the-global-competitiveness-report-2020 License: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
    • 1月 2024
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 30 1月, 2024
      データセットを選択
      The Global Debt Database (GDD) is the result of a multiyear investigative process that started with the October 2016 Fiscal Monitor. The dataset includes total gross debt of the (private and public) non financial sector for an unbalanced panel of 190 advanced economies, emerging market economies and low-income countries, dating back to 1950. For more details on the methodology and definitions, please refer to Mbaye, Moreno Badia and Chae (2018). 
    • 10月 2023
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2023
      データセットを選択
      Global Financial Stability Report, October 2023: Financial and Climate Policies for a High-Interest-Rate Era
    • 4月 2022
      ソース: Dual Citizen LLC
      アップロード者: Shylesh Naik
      以下でアクセス: 27 12月, 2022
      データセットを選択
    • 11月 2023
      ソース: Knowledge4All
      アップロード者: Knoema
      以下でアクセス: 30 11月, 2023
      データセットを選択
      Data cited at:  Knowledge4All, United Nations Development Program & Mohammed Bin Rashid Al Maktoum Knowledge Foundation.
    • 7月 2022
      ソース: KPMG
      アップロード者: Knoema
      以下でアクセス: 28 7月, 2022
      データセットを選択
      Text from source:Please note that this content is no longer being updated. The tax rate information on this page was last updated in January 2021 and the below historical tax rate data is available for reference only. For the latest information and insights on Global Tax rates, and what they may mean for your organization, please speak with your local KPMG Tax professional. Thank you.
    • 2月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 20 2月, 2017
      データセットを選択
      In this version, seven GVCs indicators are presented for 59 economies (34 OECD and 23 non-OECD economies, plus the "rest of the world" and the European Union) for 18 industries in the years 1995, 2000, 2005, 2008-2011. The indicators are calculated based on the five global input-output matrices of the TiVA database. More details can be downloaded at https://stats.oecd.org/index.aspx?queryid=66237#. The GVC participation index indicates the extent to which a country is involved in a vertically fragmented production process (in relative and absolute terms). It distinguishes the use of foreign inputs in exports (backward participation) and the use of domestic intermediates in third country exports (forward participation).
    • 8月 2023
      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: 31 8月, 2023
      データセットを選択
      Going for Growth helps to promote sustainable economic growth and improve the well-being of OECD citizens. The surveillance is based on a systematic and in-depth analysis of structural policies and their outcomes across OECD members, relying on a set of internationally comparable and regularly updated policy indicators with a well-established link to performance. From one issue to the next, Going for Growth follows up on these recommendations and priorities evolve, not least as a result of governments taking action, http://www.oecd.org/eco/going-for-growth/. This dataset contains time series of a comprehensive set of quantitative indicators that allow for a comparison of policy settings across OECD countries and selected non-member economies: Argentina, Brazil, China, Colombia, Costa Rica, India, Indonesia, Lithuania, the Russian Federation and South Africa. The dataset covers several areas: Product market regulation (economy-wide and sector-specific regulation), Education, Public investment and subsidies, Taxation, Labour market, Transfers. Data are consistent with those published in the Structural Policy Indicators chapter of Going for Growth 2018. The cut-off date is December 2017.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Exports of goods and services consist of transactions in goods and services (sales, barter, and gifts) from residents to non-residents. Imports of goods and services consist of transactions in goods and services (purchases, barter, and gifts) from non-residents to residents. Imports and exports of goods occur when economic ownership of goods changes between residents and non-residents. This applies irrespective of corresponding physical movements of goods across frontiers.
    • 10月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 23 10月, 2023
      データセットを選択
      Government debt is defined as total gross debt at nominal value outstanding at the end of the year and consolidated between and within the sectors of general government. This definition is supplemented by Council Regulation (EC) No 479/2009, as amended by the Commission Regulation (EU) No 220/2014 (which has only updated references to ESA 2010 instruments) specifying the components of government debt with reference to the definitions of financial liabilities in ESA 2010. In this context, the stock of government debt in the Excessive Deficit Procedure (EDP debt) is equal to the sum of liabilities, at the end of year, of all units classified within the general government sector (S.13) in the following categories: AF.2 (currency and deposits) + AF.3 (debt securities) + AF.4 (loans). Basic data are expressed in national currency, converted into euro using end-year exchange rates for the euro provided by the European Central Bank (ECB).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Government final consumption expenditure (ESA 2010, 3.98) includes two categories of expenditures: the value of goods and services produced by general government itself other than own-account capital formation, and purchases by general government of goods and services produced by market producers that are supplied to households - without any transformation - as social transfers in kind. Data are calculated as chain-linked volumes (i.e. data at previous year's prices, linked over the years via appropriate growth rates). Growth rates 'q/q-1 (sca)' with respect to the previous quarter and 'q/q-4 (sca)' with respect to the same quarter of the previous year are calculated from calendar and seasonally adjusted figures while growth rates 'q/q-4 (nsa)' with respect to the same quarter of the previous year are calculated from raw data.
    • 1月 2015
      ソース: University of Groningen, Netherlands
      アップロード者: Knoema
      以下でアクセス: 25 2月, 2016
      データセットを選択
      The GGDC 10-Sector Database provides a long-run internationally comparable dataset on sectoral productivity performance in Asia, Europe, Latin America and the US. Variables covered in the data set are annual series of value added, output deflators, and persons employed for 10 broad sectors. It gives sectoral detail to the historical macro data in Maddison (2003) from 1950 onwards. It consists of series for 10 countries in Asia, 9 in Latin-America and 9 in Europe and the US. The data for Asia and Latin-America are based on Marcel P. Timmer and Gaaitzen J. de Vries (2007), 'A Cross-Country Database For Sectoral Employment And Productivity In Asia And Latin America, 1950-2005', GGDC Research memorandum GD-98, Groningen Growth and Development Centre, August 2007. Data for Europe and the US is based on an update of Bart van Ark (1996), Sectoral Growth Accounting and Structural Change in Post-War Europe, in B. van Ark and N.F.R. Crafts, eds., Quantitative Aspects of Post-War European Economic Growth, CEPR/Cambridge University Press, pp. 84-164. All series derived from this database need to be referred to as: "Timmer, Marcel P. and Gaaitzen J. de Vries (2009), "Structural Change and Growth Accelerations in Asia and Latin America: A New Sectoral Data Set" Cliometrica, vol 3 (issue 2) pp. 165-190."
    • 5月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 6月, 2020
      データセットを選択
      Eurostat Dataset Id:med_ec3 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      データセットを選択
      National accounts are a coherent and consistent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making. Eurostat publishes annual and quarterly national accounts, annual and quarterly sector accounts as well as supply, use and input-output tables, which are each presented with associated metadata. Even though consistency checks are a major aspect of data validation, temporary (usually limited) inconsistencies between datasets may occur, mainly due to vintage effects. Annual national accounts are compiled in accordance with the European System of Accounts - ESA 2010 as defined in Annex B of the Council Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013.   The previous European System of Accounts, ESA95, was reviewed to bring national accounts in the European Union, in line with new economic environment, advances in methodological research and needs of users and the updated national accounts framework at the international level, the SNA 2008. The revisions are reflected in an updated Regulation of the European Parliament and of the Council on the European system of national and regional accounts in the European Union of 2010 (ESA 2010). The associated transmission programme is also updated and data transmissions in accordance with ESA 2010 are compulsory from September 2014 onwards. Further information (including actual communications) is presented on the Eurostat website. The domain consists of the following collections:   1. Main GDP aggregates: main components from the output, expenditure and income side, expenditure breakdowns by durability and exports and imports by origin. <
    • 1月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 26 1月, 2024
      データセットを選択
      Gross debt-to-income ratio of households (including Non-Profit Institutions Serving Households) is defined as loans (ESA 2010 code: AF4), liabilities divided by gross disposable income (B6G) with the latter being adjusted for the net change in pension entitlements (D8net). Detailed data and methodology on site http://ec.europa.eu/eurostat/sectoraccounts.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Gross national disposable income (ESA 2010, 8.95) is the sum of the gross disposable incomes of the institutional sectors. It is equal to: Gross national income (at market prices) + current transfers receivable by resident units from the rest of the world - current transfers payable to non-resident units from the rest of the world. Values are seasonally and calendar adjusted (SCA). The ESA 2010 (European System of Accounts) regulation may be referred to for more specific explanations on methodology.
    • 7月 2023
      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 7月, 2023
      データセットを選択
    • 5月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 6月, 2020
      データセットを選択
      Eurostat Dataset Id:med_ec1 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â
    • 8月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 8月, 2017
      データセットを選択
      The source for regional typology statistics are regional indicators at NUTS level 3 published on the Eurostat website or existing in the Eurostat production database. The structure of this domain is as follows: - Metropolitan regions (met)    For details see http://ec.europa.eu/eurostat/web/metropolitan-regions/overview - Maritime policy indicators (mare)    For details see http://ec.europa.eu/eurostat/web/maritime-policy-indicators/overview - Urban-rural typology (urt)    For details see http://ec.europa.eu/eurostat/web/rural-development/overview
    • 3月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 14 4月, 2014
      データセットを選択
      Eurostat Dataset Id:nama_r_e2gdp Gross domestic product - GDP at market prices - is the final result of the production activity of resident producer units (ESA 1995, 8.89). It can be defined in three ways: 1. Output approach GDP is the sum of gross value added of the various institutional sectors or the various industries plus taxes and less subsidies on products (which are not allocated to sectors and industries). It is also the balancing item in the total economy production account. 2. Expenditure approach GDP is the sum of final uses of goods and services by resident institutional units (final consumption expenditure and gross capital formation), plus exports and minus imports of goods and services. At regional level the expediture approach is not used in the EU, because there is no data on regional exports and imports.  3. Income approach GDP is the sum of uses in the total economy generation of income account: compensation of employees, taxes on production, less subsidies, gross operating surplus and mixed income of the total economy. The different measures for the regional GDP are absolute figures in € and Purchasing Power Standards (PPS), figures per inhabitant and relative data compared to the EU27 average.
    • 2月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 14 4月, 2014
      データセットを選択
      Eurostat Dataset Id:nama_r_e3gdp National accounts are a coherent and consistent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making. Eurostat publishes annual and quarterly national accounts, annual and quarterly sector accounts as well as supply, use and input-output tables, which are each presented with associated metadata. Annual national accounts are compiled in accordance with the European System of Accounts - ESA 1995 (Council Regulation 2223/96). Annex B of the Regulation consists of a comprehensive list of the variables to be transmitted for Community purposes within specified time limits. This transmission programme has been updated by Regulation (EC) N° 1392/2007 of the European Parliament and of the Council. Meanwhile, the ESA95 has been reviewed to bring national accounts in the European Union, in line with new economic environment, advances in methodological research and needs of users and the updated national accounts framework at the international level, the SNA 2008. The revisions are reflected in an updated Regulation of the European Parliament and of the Council on the European system of national and regional accounts in the European Union of 2010 (ESA 2010). The associated transmission programme is also updated and data transmissions in accordance with ESA 2010 are compulsory from September 2014 onwards. Further information on the transition from ESA 95 to ESA 2010 is presented on the Eurostat website. The domain consists of the following collections: GDP and main aggregates. The data are recorded at current and constant prices and include the corresponding implicit price indices. Final consumption aggregates, including the split into household and government consumption. The data are recorded at current and constant prices and include the corresponding implicit price indices. Income, saving and net lending / net borrowing at current prices. Disposable income is also shown in real terms. Exports and imports by Member States of the EU/third countries. The data are recorded at current and constant prices and include the corresponding implicit price indices. Breakdowns of gross value added, compensation of employees, wages and salaries, operating surplus, employment (domestic scope), gross fixed capital formation (GFCF) and fixed assets and other main aggregates by industry; investment by products and household final consumption expenditure by consumption purposes (COICOP). The data are recorded at current and constant prices and include the corresponding implicit price indices. Auxiliary indicators: Population and employment national data, purchasing power parities, contributions to GDP growth, labour productivity, unit labour cost and GDP per capita. Geographical entities covered are the European Union, the euro area, EU Member States, Candidate Countries, EFTA countries, US, Japan and possibly other countries on an ad-hoc basis. The data are published: - in ECU/euro, in national currencies (including euro converted from former national currencies using the irrevocably fixed rate for all years) and in Purchasing Power Standards (PPS); - at current prices and in volume terms; - Population and employment are measured in persons. Employment is also measured in total hours worked. Data sources: National Statistical Institutes
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Gross domestic product (GDP) at market prices is the final result of the production activity of resident producer units. It is defined as the value of all goods and services produced less the value of any goods or services used in their creation. The ESA 2010 (European System of Accounts) regulation may be referred to for more specific explanations on methodology. Data are presented in million units of national currency.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Gross domestic product (GDP) at market prices is the final result of the production activity of resident producer units. It is defined as the value of all goods and services produced less the value of any goods or services used in their creation. The ESA 2010 (European System of Accounts) regulation may be referred to for more specific explanations on methodology. Data are seasonally adjusted and presented in million units of national currency.
    • 10月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 21 10月, 2015
      データセットを選択
      The source for regional typology statistics are regional indicators at NUTS level 3 published on the Eurostat website or existing in the Eurostat production database. The structure of this domain is as follows: - Metropolitan regions (met)    For details see http://ec.europa.eu/eurostat/web/metropolitan-regions/overview - Maritime policy indicators (mare)    For details see http://ec.europa.eu/eurostat/web/maritime-policy-indicators/overview - Urban-rural typology (urt)    For details see http://ec.europa.eu/eurostat/web/rural-development/overview
    • 10月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 21 10月, 2015
      データセットを選択
      Eurostat Dataset Id:urt_e3gdp
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      GDP (gross domestic product) is an indicator for a nation´s economic situation. It reflects the total value of all goods and services produced less the value of goods and services used for intermediate consumption in their production. Expressing GDP in PPS (purchasing power standards) eliminates differences in price levels between countries, and calculations on a per head basis allows for the comparison of economies significantly different in absolute size.
    • 10月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 04 10月, 2022
      データセットを選択
      GDP (gross domestic product) is an indicator for a nation's economic situation. It reflects the total value of all goods and services produced less the value of goods and services used for intermediate consumption in their production.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Gross domestic product (GDP) at market prices is the final result of the production activity of resident producer units (ESA 2010, 8.89). It can be defined in three ways: a production approach, an income approach and an expenditure approach. Values are seasonally adjusted (SA). The ESA 2010 (European System of Accounts) regulation may be referred to for more specific explanations on methodology.
    • 2月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 20 2月, 2017
      データセットを選択
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Gross fixed capital formation consists of resident producers´ aquisitions, less disposals, of fixed tangible or intangible assets. This covers in particular machinery and equipment, vehicles, dwellings and other buildings.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Gross fixed capital formation (GFCF) consists of resident producers' acquisitions, less disposals, of fixed assets during a given period plus certain additions to the value of non-produced assets realised by the productive activity of producer or institutional units. GFCF includes acquisition less disposals of, e.g. buildings, structures, machinery and equipment, mineral exploration, computer software, literary or artistic originals and major improvements to land such as the clearance of forests. The input data are obtained through official transmissions of national accounts' country data in the ESA 2010 transmission programme. Data are expressed as % of GDP, in million euro and in million units of national currency.
    • 9月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 10月, 2016
      データセットを選択
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      National accounts are a coherent and consistent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making. Eurostat publishes annual and quarterly national accounts, annual and quarterly sector accounts as well as supply, use and input-output tables, which are each presented with associated metadata. Even though consistency checks are a major aspect of data validation, temporary (usually limited) inconsistencies between datasets may occur, mainly due to vintage effects. Annual national accounts are compiled in accordance with the European System of Accounts - ESA 2010 as defined in Annex B of the Council Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013.   The previous European System of Accounts, ESA95, was reviewed to bring national accounts in the European Union, in line with new economic environment, advances in methodological research and needs of users and the updated national accounts framework at the international level, the SNA 2008. The revisions are reflected in an updated Regulation of the European Parliament and of the Council on the European system of national and regional accounts in the European Union of 2010 (ESA 2010). The associated transmission programme is also updated and data transmissions in accordance with ESA 2010 are compulsory from September 2014 onwards. Further information (including actual communications) is presented on the Eurostat website. The domain consists of the following collections:   1. Main GDP aggregates: main components from the output, expenditure and income side, expenditure breakdowns by durability and exports and imports by origin. <
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Gross fixed capital formation (GFCF, ESA 2010, 3.124) consists of resident producers' acquisitions, less disposals, of fixed assets during a given period plus certain additions to the value of non-produced assets realised by the productive activity of producer or institutional units. GFCF includes acquisition less disposals of, e.g. buildings, structures, machinery and equipment, mineral exploration, computer software, literary or artistic originals and major improvements to land such as the clearance of forests. The ESA 2010 (European System of Accounts) regulation may be referred to for more specific explanations on methodology. Seasonally and calendar adjusted data (SCA).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Gross fixed capital formation (GFCF, ESA 2010, 3.124) consists of resident producers' acquisitions, less disposals, of fixed assets during a given period plus certain additions to the value of non-produced assets realised by the productive activity of producer or institutional units. GFCF includes acquisition less disposals of, e.g. buildings, structures, machinery and equipment, mineral exploration, computer software, literary or artistic originals and major improvements to land such as the clearance of forests. The ESA 2010 (European System of Accounts) regulation may be referred to for more specific explanations on methodology. Seasonally and calendar adjusted data (SCA).
    • 6月 2013
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 14 4月, 2014
      データセットを選択
      Eurostat Dataset Id:nama_r_e2gfcfr2 Branch accounts include data on gross value added, compensation of employees, gross fixed capital formation, total employment and number of employees. The legal base for the collection of branch accounts data is the European System of Accounts ESA95. The ESA95 data are sent to Eurostat by the National Statistical Institutes. The units for these variables are: Millions of national currency and millions of Euro for gross value added, compensation of employees and gross fixed capital formation. 1000 persons for total employment and number of employees at NUTS level 3 1000 hours worked for total employment and number of employees at NUTS level 2 Geographical coverage comprises all EU Member States and some Candidate countries down to Nuts 3 level (Nuts = "Nomenclature of territorial units for statistics" - see Eurostat's classification server "RAMON") for the variables gross value added, total employment and number of employees. Compensation of employees, employment in hours worked and gross fixed capital formation are only collected down to Nuts 2 level. For further information about sources and collection methods in the Member States, please refer to National Statistical Institutes (select Services - Links).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Data in this domain constitute only a small part of the entire National Accounts data range available from Eurostat. Annual and quarterly national accounts are compiled in accordance with the European System of Accounts - ESA 2010 as defined in Annex B of the Council Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013. The previous European System of Accounts, ESA95, was reviewed to bring national accounts in the European Union, in line with new economic environment, advances in methodological research and needs of users and the updated national accounts framework at the international level, the SNA 2008. The revisions are reflected in an updated Regulation of the European Parliament and of the Council on the European system of national and regional accounts in the European Union of 2010 (ESA 2010). The associated transmission programme is also updated and data transmissions in accordance with ESA 2010 are compulsory from September 2014 onwards. Further information on the transition from ESA 95 to ESA 2010 is presented on the Eurostat website. The annual data of this domain consists of the following collections: 1. Main GDP aggregates: main components from the output, expenditure and income side.nama_10_gdp: GDP and main components (output, expenditure and income) The quarterly data of this domain consists of the following collections 1. Main GDP aggregates, main components from the output, expenditure and income side, expenditure breakdowns by industry and assets. namq_10_ma: Main GDP aggregatesnamq_10_gdp: GDP and main components (output, expenditure and income)namq_10_fcs: Final consumption aggregates by durabilitynamq_10_exi: Exports and imports by Member States of the EU/third countries 2. Breakdowns of GDP aggregates and employment data by main industries and asset classes. namq_10_bbr: Basic breakdowns main GDP aggregates and employment (by industry and assets)namq_10_a10: Gross value added and income by A*10 industrynamq_10_an6: Gross fixed capital formation by AN_F6 asset typenamq_10_a10_e: Employment by A*10 industry breakdowns Geographical entities covered are the European Union, the euro area, EU Member States, Candidate Countries, EFTA countries, US, Japan and possibly other countries on an ad-hoc basis. Data sources: National Statistical Institutes.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Gross fixed capital formation (GFCF, ESA 2010, 3.124) consists of resident producers' acquisitions, less disposals, of fixed assets during a given period plus certain additions to the value of non-produced assets realised by the productive activity of producer or institutional units. GFCF includes acquisition less disposals of, e.g. buildings, structures, machinery and equipment, mineral exploration, computer software, literary or artistic originals and major improvements to land such as the clearance of forests. Values are seasonally and calendar adjusted (SCA). The ESA 2010 (European System of Accounts) regulation may be referred to for more specific explanations on methodology.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Gross fixed capital formation (GFCF, ESA 2010, 3.124), also known as Investments, consists of resident producers' acquisitions, less disposals, of fixed assets during a given period plus certain additions to the value of non-produced assets. These assets acquired are intended for use in processes of production. GFCF includes acquisition less disposals of, e.g. buildings, structures, machinery and equipment, mineral exploration, computer software, literary or artistic originals and major improvements to land such as the clearance of forests (ESA 2010, 3.127). Data are calculated as chain-linked volumes (i.e. data at previous year's prices, linked over the years via appropriate growth rates). Growth rates 'q/q-1 (sca)' with respect to the previous quarter and 'q/q-4 (sca)' with respect to the same quarter of the previous year are calculated from calendar and seasonally adjusted figures while growth rates 'q/q-4 (nsa)' with respect to the same quarter of the previous year are calculated from raw data.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Gross national income (at market prices) (ESA 2010, 8.94) represents total primary income receivable by resident institutional units: compensation of employees, taxes on production and imports less subsidies, property income (receivable less payable), gross operating surplus and gross mixed income. It is equal to: GDP (Gross Domestic Product) + primary income receivable by resident institutional units from the rest of the world - primary incomes payable to the rest of the world. Values are seasonally and calendar adjusted (SCA). The ESA 2010 (European System of Accounts) regulation may be referred to for more specific explanations on methodology.
    • 7月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 14 7月, 2023
      データセットを選択
      Operating surplus is the surplus (or deficit) on production activities before account has been taken of the interest, rents or charges paid or received for the use of assets. Mixed income is the remuneration for the work carried out by the owner (or by members of his family) of an unincorporated enterprise. This is referred to as 'mixed income' since it cannot be distinguished from the entrepreneurial profit of the owner.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Gross saving (ESA 2010, 8.96) measures the portion of gross national disposable income that is not used for final consumption expenditure. Gross national saving is the sum of the gross savings of the various institutional sectors. Values are seasonally and calendar adjusted (SCA). The ESA 2010 (European System of Accounts) regulation may be referred to for more specific explanations on methodology.
    • 5月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 6月, 2020
      データセットを選択
      Eurostat Dataset Id:med_ec5 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Gross Value Added (GVA) (ESA 2010, 9.31) is defined as output value at basic prices less intermediate consumption valued at purchasers' prices. GVA is calculated before consumption of fixed capital. GVA is available in a breakdown by 10 main economic activities according to NACE Rev. 2 (Statistical classification of economic activities in the European Community). NACE A = Agriculture, forestry, fishing. The ESA 2010 (European System of Accounts) regulation may be referred to for more specific explanations on methodology.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Gross Value Added (GVA) (ESA 2010, 9.31) is defined as output value at basic prices less intermediate consumption valued at purchasers' prices. GVA is calculated before consumption of fixed capital. GVA is available in a breakdown by 10 main economic activities according to NACE Rev. 2 (Statistical classification of economic activities in the European Community). NACE A = Agriculture, forestry, fishing. The ESA 2010 (European System of Accounts) regulation may be referred to for more specific explanations on methodology. Data are calculated as chain-linked volumes (i.e. data at previous year's prices, linked over the years via appropriate growth rates). Growth rates 'q/q-1 (sca)' with respect to the previous quarter and 'q/q-4 (sca)' with respect to the same quarter of the previous year are calculated from calendar and seasonally adjusted figures while growth rates 'q/q-4 (nsa)' with respect to the same quarter of the previous year are calculated from raw data.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Gross Value Added (GVA) (ESA 2010, 9.31) is defined as output value at basic prices less intermediate consumption valued at purchasers' prices. GVA is calculated before consumption of fixed capital. GVA is available in a breakdown by 10 main economic activities according to NACE Rev. 2 (Statistical classification of economic activities in the European Community). NACE B+C+D+E = Mining and quarrying, manufacturing, electricity, gas and water supply, water supply, sewerage, waste management and remediation activities. The ESA 2010 (European System of Accounts) regulation may be referred to for more specific explanations on methodology.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Gross Value Added (GVA) (ESA 2010, 9.31) is defined as output value at basic prices less intermediate consumption valued at purchasers' prices. GVA is calculated before consumption of fixed capital. GVA is available in a breakdown by 10 main economic activities according to NACE Rev. 2 (Statistical classification of economic activities in the European Community). NACE B+C+D+E = Mining and quarrying, manufacturing, electricity, gas and water supply, sewerage, waste management and remediation activities. The ESA 2010 (European System of Accounts) regulation may be referred to for more specific explanations on methodology. Data are calculated as chain-linked volumes (i.e. data at previous year's prices, linked over the years via appropriate growth rates). Growth rates 'q/q-1 (sca)' with respect to the previous quarter and 'q/q-4 (sca)' with respect to the same quarter of the previous year are calculated from calendar and seasonally adjusted figures while growth rates 'q/q-4 (nsa)' with respect to the same quarter of the previous year are calculated from raw data.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Gross Value Added (GVA) (ESA 2010, 9.31) is defined as output value at basic prices less intermediate consumption valued at purchasers' prices. GVA is calculated before consumption of fixed capital. GVA is available in a breakdown by 10 main economic activities according to NACE Rev. 2 (Statistical classification of economic activities in the European Community). NACE C = Manufacturing. The ESA 2010 (European System of Accounts) regulation may be referred to for more specific explanations on methodology.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Gross Value Added (GVA) (ESA 2010, 9.31) is defined as output value at basic prices less intermediate consumption valued at purchasers' prices. GVA is calculated before consumption of fixed capital. GVA is available in a breakdown by 10 main economic activities according to NACE Rev. 2 (Statistical classification of economic activities in the European Community). NACE C = Manufacturing. The ESA 2010 (European System of Accounts) regulation may be referred to for more specific explanations on methodology. Data are calculated as chain-linked volumes (i.e. data at previous year's prices, linked over the years via appropriate growth rates). Growth rates 'q/q-1 (sca)' with respect to the previous quarter and 'q/q-4 (sca)' with respect to the same quarter of the previous year are calculated from calendar and seasonally adjusted figures while growth rates 'q/q-4 (nsa)' with respect to the same quarter of the previous year are calculated from raw data.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Gross Value Added (GVA) (ESA 2010, 9.31) is defined as output value at basic prices less intermediate consumption valued at purchasers' prices. GVA is calculated before consumption of fixed capital. GVA is available in a breakdown by 10 main economic activities according to NACE Rev. 2 (Statistical classification of economic activities in the European Community). NACE F = Construction. The ESA 2010 (European System of Accounts) regulation may be referred to for more specific explanations on methodology.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Gross Value Added (GVA) (ESA 2010, 9.31) is defined as output value at basic prices less intermediate consumption valued at purchasers' prices. GVA is calculated before consumption of fixed capital. GVA is available in a breakdown by 10 main economic activities according to NACE Rev. 2 (Statistical classification of economic activities in the European Community). NACE F = Construction. The ESA 2010 (European System of Accounts) regulation may be referred to for more specific explanations on methodology. Data are calculated as chain-linked volumes (i.e. data at previous year's prices, linked over the years via appropriate growth rates). Growth rates 'q/q-1 (sca)' with respect to the previous quarter and 'q/q-4 (sca)' with respect to the same quarter of the previous year are calculated from calendar and seasonally adjusted figures while growth rates 'q/q-4 (nsa)' with respect to the same quarter of the previous year are calculated from raw data.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Gross Value Added (GVA) (ESA 2010, 9.31) is defined as output value at basic prices less intermediate consumption valued at purchasers' prices. GVA is calculated before consumption of fixed capital. GVA is available in a breakdown by 10 main economic activities according to NACE Rev. 2 (Statistical classification of economic activities in the European Community). NACE G+H+I = Wholesale and retail trade, repair of motor vehicles and motorcycles, transportation and storage, accommodation and food service activities. The ESA 2010 (European System of Accounts) regulation may be referred to for more specific explanations on methodology.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Gross Value Added (GVA) (ESA 2010, 9.31) is defined as output value at basic prices less intermediate consumption valued at purchasers' prices. GVA is calculated before consumption of fixed capital. GVA is available in a breakdown by 10 main economic activities according to NACE Rev. 2 (Statistical classification of economic activities in the European Community). NACE G+H+I = Wholesale and retail trade, repair of motor vehicles and motorcycles, transportation and storage, accommodation and food service activities. The ESA 2010 (European System of Accounts) regulation may be referred to for more specific explanations on methodology. Data are calculated as chain-linked volumes (i.e. data at previous year's prices, linked over the years via appropriate growth rates). Growth rates 'q/q-1 (sca)' with respect to the previous quarter and 'q/q-4 (sca)' with respect to the same quarter of the previous year are calculated from calendar and seasonally adjusted figures while growth rates 'q/q-4 (nsa)' with respect to the same quarter of the previous year are calculated from raw data.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Gross Value Added (GVA) (ESA 2010, 9.31) is defined as output value at basic prices less intermediate consumption valued at purchasers' prices. GVA is calculated before consumption of fixed capital. GVA is available in a breakdown by 10 main economic activities according to NACE Rev. 2 (Statistical classification of economic activities in the European Community). NACE J = Information and communication. The ESA 2010 (European System of Accounts) regulation may be referred to for more specific explanations on methodology.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Gross Value Added (GVA) (ESA 2010, 9.31) is defined as output value at basic prices less intermediate consumption valued at purchasers' prices. GVA is calculated before consumption of fixed capital. GVA is available in a breakdown by 10 main economic activities according to NACE Rev. 2 (Statistical classification of economic activities in the European Community). NACE J = Information and communication. The ESA 2010 (European System of Accounts) regulation may be referred to for more specific explanations on methodology. Data are calculated as chain-linked volumes (i.e. data at previous year's prices, linked over the years via appropriate growth rates). Growth rates 'q/q-1 (sca)' with respect to the previous quarter and 'q/q-4 (sca)' with respect to the same quarter of the previous year are calculated from calendar and seasonally adjusted figures while growth rates 'q/q-4 (nsa)' with respect to the same quarter of the previous year are calculated from raw data.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Gross Value Added (GVA) (ESA 2010, 9.31) is defined as output value at basic prices less intermediate consumption valued at purchasers' prices. GVA is calculated before consumption of fixed capital. GVA is available in a breakdown by 10 main economic activities according to NACE Rev. 2 (Statistical classification of economic activities in the European Community). NACE K = Financial and insurance activities. The ESA 2010 (European System of Accounts) regulation may be referred to for more specific explanations on methodology.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Gross Value Added (GVA) (ESA 2010, 9.31) is defined as output value at basic prices less intermediate consumption valued at purchasers' prices. GVA is calculated before consumption of fixed capital. GVA is available in a breakdown by 10 main economic activities according to NACE Rev. 2 (Statistical classification of economic activities in the European Community). NACE K = Financial and insurance activities. The ESA 2010 (European System of Accounts) regulation may be referred to for more specific explanations on methodology. Data are calculated as chain-linked volumes (i.e. data at previous year's prices, linked over the years via appropriate growth rates). Growth rates 'q/q-1 (sca)' with respect to the previous quarter and 'q/q-4 (sca)' with respect to the same quarter of the previous year are calculated from calendar and seasonally adjusted figures while growth rates 'q/q-4 (nsa)' with respect to the same quarter of the previous year are calculated from raw data.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Gross Value Added (GVA) (ESA 2010, 9.31) is defined as output value at basic prices less intermediate consumption valued at purchasers' prices. GVA is calculated before consumption of fixed capital. GVA is available in a breakdown by 10 main economic activities according to NACE Rev. 2 (Statistical classification of economic activities in the European Community). NACE L = Real estate activities. The ESA 2010 (European System of Accounts) regulation may be referred to for more specific explanations on methodology.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Gross Value Added (GVA) (ESA 2010, 9.31) is defined as output value at basic prices less intermediate consumption valued at purchasers' prices. GVA is calculated before consumption of fixed capital. GVA is available in a breakdown by 10 main economic activities according to NACE Rev. 2 (Statistical classification of economic activities in the European Community). NACE L = Real estate activities. The ESA 2010 (European System of Accounts) regulation may be referred to for more specific explanations on methodology. Data are calculated as chain-linked volumes (i.e. data at previous year's prices, linked over the years via appropriate growth rates). Growth rates 'q/q-1 (sca)' with respect to the previous quarter and 'q/q-4 (sca)' with respect to the same quarter of the previous year are calculated from calendar and seasonally adjusted figures while growth rates 'q/q-4 (nsa)' with respect to the same quarter of the previous year are calculated from raw data.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Gross Value Added (GVA) (ESA 2010, 9.31) is defined as output value at basic prices less intermediate consumption valued at purchasers' prices. GVA is calculated before consumption of fixed capital. GVA is available in a breakdown by 10 main economic activities according to NACE Rev. 2 (Statistical classification of economic activities in the European Community). NACE M + N = Professional, scientific and technical activities; administrative and support service activities. The ESA 2010 (European System of Accounts) regulation may be referred to for more specific explanations on methodology.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Gross Value Added (GVA) (ESA 2010, 9.31) is defined as output value at basic prices less intermediate consumption valued at purchasers' prices. GVA is calculated before consumption of fixed capital. GVA is available in a breakdown by 10 main economic activities according to NACE Rev. 2 (Statistical classification of economic activities in the European Community). NACE M+N = Professional, scientific and technical activities; administrative and support service activities. The ESA 2010 (European System of Accounts) regulation may be referred to for more specific explanations on methodology. Data are calculated as chain-linked volumes (i.e. data at previous year's prices, linked over the years via appropriate growth rates). Growth rates 'q/q-1 (sca)' with respect to the previous quarter and 'q/q-4 (sca)' with respect to the same quarter of the previous year are calculated from calendar and seasonally adjusted figures while growth rates 'q/q-4 (nsa)' with respect to the same quarter of the previous year are calculated from raw data.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Gross Value Added (GVA) (ESA 2010, 9.31) is defined as output value at basic prices less intermediate consumption valued at purchasers' prices. GVA is calculated before consumption of fixed capital. GVA is available in a breakdown by 10 main economic activities according to NACE Rev. 2 (Statistical classification of economic activities in the European Community). NACE O+P+Q = Public administration and defence, compulsory social security, education, human health and social work activities. The ESA 2010 (European System of Accounts) regulation may be referred to for more specific explanations on methodology.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Gross Value Added (GVA) (ESA 2010, 9.31) is defined as output value at basic prices less intermediate consumption valued at purchasers' prices. GVA is calculated before consumption of fixed capital. GVA is available in a breakdown by 10 main economic activities according to NACE Rev. 2 (Statistical classification of economic activities in the European Community). NACE O+P+Q = Public administration and defence, compulsory social security, education, human health and social work activities. The ESA 2010 (European System of Accounts) regulation may be referred to for more specific explanations on methodology. Data are calculated as chain-linked volumes (i.e. data at previous year's prices, linked over the years via appropriate growth rates). Growth rates 'q/q-1 (sca)' with respect to the previous quarter and 'q/q-4 (sca)' with respect to the same quarter of the previous year are calculated from calendar and seasonally adjusted figures while growth rates 'q/q-4 (nsa)' with respect to the same quarter of the previous year are calculated from raw data.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Gross Value Added (GVA) (ESA 2010, 9.31) is defined as output value at basic prices less intermediate consumption valued at purchasers' prices. GVA is calculated before consumption of fixed capital. GVA is available in a breakdown by 10 main economic activities according to NACE Rev. 2 (Statistical classification of economic activities in the European Community). NACE R+S+T+U = Arts, entertainment and recreation, repair of household goods and other services. The ESA 2010 (European System of Accounts) regulation may be referred to for more specific explanations on methodology.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Gross Value Added (GVA) (ESA 2010, 9.31) is defined as output value at basic prices less intermediate consumption valued at purchasers' prices. GVA is calculated before consumption of fixed capital. GVA is available in a breakdown by 10 main economic activities according to NACE Rev. 2 (Statistical classification of economic activities in the European Community). NACE R+S+T+U = Arts, entertainment and recreation, repair of household goods and other services. The ESA 2010 (European System of Accounts) regulation may be referred to for more specific explanations on methodology. Data are calculated as chain-linked volumes (i.e. data at previous year's prices, linked over the years via appropriate growth rates). Growth rates 'q/q-1 (sca)' with respect to the previous quarter and 'q/q-4 (sca)' with respect to the same quarter of the previous year are calculated from calendar and seasonally adjusted figures while growth rates 'q/q-4 (nsa)' with respect to the same quarter of the previous year are calculated from raw data.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Gross Value Added (GVA) (ESA 2010, 9.31) is defined as output value at basic prices less intermediate consumption valued at purchasers' prices. GVA is calculated before consumption of fixed capital. GVA is conceptually close to GDP (Gross domestic product), but unlike GDP available in a breakdown by branch of economic activity. The ESA 2010 (European System of Accounts) regulation may be referred to for more specific explanations on methodology.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Gross Value Added (GVA) (ESA 2010, 9.31) is defined as output value at basic prices less intermediate consumption valued at purchasers' prices. GVA is calculated before consumption of fixed capital. GVA is conceptually close to GDP (Gross domestic product), but unlike GDP available in a breakdown by branch of economic activity. The ESA 2010 (European System of Accounts) regulation may be referred to for more specific explanations on methodology. Data are calculated as chain-linked volumes (i.e. data at previous year's prices, linked over the years via appropriate growth rates). Growth rates 'q/q-1 (sca)' with respect to the previous quarter and 'q/q-4 (sca)' with respect to the same quarter of the previous year are calculated from calendar and seasonally adjusted figures while growth rates 'q/q-4 (nsa)' with respect to the same quarter of the previous year are calculated from raw data.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Data in this domain constitute only a small part of the entire National Accounts data range available from Eurostat. Annual and quarterly national accounts are compiled in accordance with the European System of Accounts - ESA 2010 as defined in Annex B of the Council Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013. The previous European System of Accounts, ESA95, was reviewed to bring national accounts in the European Union, in line with new economic environment, advances in methodological research and needs of users and the updated national accounts framework at the international level, the SNA 2008. The revisions are reflected in an updated Regulation of the European Parliament and of the Council on the European system of national and regional accounts in the European Union of 2010 (ESA 2010). The associated transmission programme is also updated and data transmissions in accordance with ESA 2010 are compulsory from September 2014 onwards. Further information on the transition from ESA 95 to ESA 2010 is presented on the Eurostat website. The annual data of this domain consists of the following collections: 1. Main GDP aggregates: main components from the output, expenditure and income side.nama_10_gdp: GDP and main components (output, expenditure and income) The quarterly data of this domain consists of the following collections 1. Main GDP aggregates, main components from the output, expenditure and income side, expenditure breakdowns by industry and assets. namq_10_ma: Main GDP aggregatesnamq_10_gdp: GDP and main components (output, expenditure and income)namq_10_fcs: Final consumption aggregates by durabilitynamq_10_exi: Exports and imports by Member States of the EU/third countries 2. Breakdowns of GDP aggregates and employment data by main industries and asset classes. namq_10_bbr: Basic breakdowns main GDP aggregates and employment (by industry and assets)namq_10_a10: Gross value added and income by A*10 industrynamq_10_an6: Gross fixed capital formation by AN_F6 asset typenamq_10_a10_e: Employment by A*10 industry breakdowns Geographical entities covered are the European Union, the euro area, EU Member States, Candidate Countries, EFTA countries, US, Japan and possibly other countries on an ad-hoc basis. Data sources: National Statistical Institutes.
    • 10月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 21 10月, 2015
      データセットを選択
      The source for regional typology statistics are regional indicators at NUTS level 3 published on the Eurostat website or existing in the Eurostat production database. The structure of this domain is as follows: - Metropolitan regions (met)    For details see http://ec.europa.eu/eurostat/web/metropolitan-regions/overview - Maritime policy indicators (mare)    For details see http://ec.europa.eu/eurostat/web/maritime-policy-indicators/overview - Urban-rural typology (urt)    For details see http://ec.europa.eu/eurostat/web/rural-development/overview
    • 8月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 23 8月, 2017
      データセットを選択
      The source for regional typology statistics are regional indicators at NUTS level 3 published on the Eurostat website or existing in the Eurostat production database. The structure of this domain is as follows: - Metropolitan regions (met)    For details see http://ec.europa.eu/eurostat/web/metropolitan-regions/overview - Maritime policy indicators (mare)    For details see http://ec.europa.eu/eurostat/web/maritime-policy-indicators/overview - Urban-rural typology (urt)    For details see http://ec.europa.eu/eurostat/web/rural-development/overview
    • 3月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 14 4月, 2014
      データセットを選択
      Eurostat Dataset Id:nama_r_e3vab95r2 Branch accounts include data on gross value added, compensation of employees, gross fixed capital formation, total employment and number of employees. The legal base for the collection of branch accounts data is the European System of Accounts ESA95. The ESA95 data are sent to Eurostat by the National Statistical Institutes. The units for these variables are: Millions of national currency and millions of Euro for gross value added, compensation of employees and gross fixed capital formation. 1000 persons for total employment and number of employees at NUTS level 3 1000 hours worked for total employment and number of employees at NUTS level 2 Geographical coverage comprises all EU Member States and some Candidate countries down to Nuts 3 level (Nuts = "Nomenclature of territorial units for statistics" - see Eurostat's classification server "RAMON") for the variables gross value added, total employment and number of employees. Compensation of employees, employment in hours worked and gross fixed capital formation are only collected down to Nuts 2 level. For further information about sources and collection methods in the Member States, please refer to National Statistical Institutes (select Services - Links).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      データセットを選択
      National accounts are a coherent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making. The data presented in this collection are the results of a pilot exercise on the sharing selected main GDP aggregates, population and employment data collected by different international organisations. It wasconducted by the Task Force in International Data Collection (TFIDC) which was established by the  Inter-Agency Group on Economic and Financial Statistics (IAG).  The goal of this pilot is to develop a set of commonly shared principles and working arrangements for data cooperation that could be implemented by the international agencies. The data sets are an experimental exercise to present national accounts data form various countries across the globe in one coherent folder, but users should be aware that these data are collected and validated by different organisations and not fully harmonised from a methodological point of view.  The domain consists of the following collections:
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      データセットを選択
      National accounts are a coherent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making. The data presented in this collection are the results of a pilot exercise on the sharing selected main GDP aggregates, population and employment data collected by different international organisations. It wasconducted by the Task Force in International Data Collection (TFIDC) which was established by the  Inter-Agency Group on Economic and Financial Statistics (IAG).  The goal of this pilot is to develop a set of commonly shared principles and working arrangements for data cooperation that could be implemented by the international agencies. The data sets are an experimental exercise to present national accounts data form various countries across the globe in one coherent folder, but users should be aware that these data are collected and validated by different organisations and not fully harmonised from a methodological point of view.  The domain consists of the following collections:
    • 10月 2023
      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: 02 10月, 2023
      データセットを選択
      Productivity is a key driver of economic growth and changes in living standards. Labour productivity growth implies a higher level of output for unit of labour input (hours worked or persons employed). This can be achieved if more capital is used in production or through improved overall efficiency with which labour and capital are used together, i.e., higher multifactor productivity growth (MFP). Productivity is also a key driver of international competitiveness, e.g. as measured by Unit Labour Costs (ULC).   The OECD Productivity Database aims at providing users with the most comprehensive and the latest productivity estimates. The update cycle is on a rolling basis, i.e. each variable in the dataset is made publicly available as soon as it is updated in the sources databases. However, some time lag may arise which affects individual series and/or countries for two reasons: first, hours worked data from the OECD Employment Outlook are typically updated less frequently than the OECD Annual National Accounts Database; second, source data for capital services are typically available in annual national accounts later than source data for labour productivity and ULCs.   Note to users: The OECD Productivity Database accounts for the methodological changes in national accounts' statistics, such as the implementation of the System of National Accounts 2008 (2008 SNA) and the implementation of the international industrial classification ISIC Rev.4. These changes had an impact on output, labour and capital measurement. For Chile, China, Colombia, India, Japan, Turkey and the Russian Federation the indicators are in line with the System of National Accounts 1993 (1993 SNA); for all other countries, the indicators presented are based on the 2008 SNA
    • 6月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 20 6月, 2023
      データセットを選択
      Data are the result of the annual structure of government debt survey and cover the EU countries as well as Norway. The following series are available: Central government gross debt by initital maturity and sector of debt holder; State government gross debt by initital maturity and sector of debt holder; Local government gross debt by initital maturity and sector of debt holder; Social security funds gross debt by initital maturity and sector of debt holder; General government gross debt by initital maturity and sector of debt holder; Debt by currency of issuance; Government guarantees (contingent liabilities).
  • H
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 06 4月, 2024
      データセットを選択
      Unemployed persons comprise here persons aged 25 to 74 who were without work during the reference week, were currently available for work and were either actively seeking work in the past four weeks or had already found a job to start within the next three months.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 03 4月, 2024
      データセットを選択
      Harmonised Indices of Consumer Prices (HICP) are designed for international comparisons of consumer price inflation. HICPs are used for the assessment of the inflation convergence criterion as required under Article 121 of the Treaty of Amsterdam and by the ECB for assessing price stability for monetary policy purposes. The ECB defines price stability on the basis of the annual rate of change of the euro area HICP. HICPs are compiled on the basis of harmonised standards, binding for all Member States. Conceptually, the HICP are Laspeyres-type price indices and are computed as annual chain-indices allowing for weights changing each year. The common classification for Harmonized Indices of Consumer Prices is the COICOP (Classification Of Individual COnsumption by Purpose). A version of this classification (COICOP/HICP) has been specially adapted for the HICP. Sub-indices published by Eurostat are based on this classification. HICP are produced and published using a common index reference period (2015 = 100). Growth rates are calculated from published index levels. Indexes, as well as both growth rates with respect to the previous month (M/M-1) and with respect to the corresponding month of the previous year (M/M-12) are neither calendar nor seasonally adjusted.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 03 4月, 2024
      データセットを選択
      Harmonised Indices of Consumer Prices (HICP) are designed for international comparisons of consumer price inflation. HICPs are used for the assessment of the inflation convergence criterion as required under Article 121 of the Treaty of Amsterdam and by the ECB for assessing price stability for monetary policy purposes. The ECB defines price stability on the basis of the annual rate of change of the euro area HICP. HICPs are compiled on the basis of harmonised standards, binding for all Member States. Conceptually, the HICP are Laspeyres-type price indices and are computed as annual chain-indices allowing for weights changing each year. The common classification for Harmonized Indices of Consumer Prices is the COICOP (Classification Of Individual COnsumption by Purpose). A version of this classification (COICOP/HICP) has been specially adapted for the HICP. Sub-indices published by Eurostat are based on this classification. HICP are produced and published using a common index reference period (2015 = 100). Growth rates are calculated from published index levels. Indexes, as well as both growth rates with respect to the previous month (M/M-1) and with respect to the corresponding month of the previous year (M/M-12) are neither calendar nor seasonally adjusted.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 03 4月, 2024
      データセットを選択
      Harmonised Indices of Consumer Prices (HICP) are designed for international comparisons of consumer price inflation. HICPs are used for the assessment of the inflation convergence criterion as required under Article 121 of the Treaty of Amsterdam and by the ECB for assessing price stability for monetary policy purposes. The ECB defines price stability on the basis of the annual rate of change of the euro area HICP. HICPs are compiled on the basis of harmonised standards, binding for all Member States. Conceptually, the HICP are Laspeyres-type price indices and are computed as annual chain-indices allowing for weights changing each year. The common classification for Harmonized Indices of Consumer Prices is the COICOP (Classification Of Individual COnsumption by Purpose). A version of this classification (COICOP/HICP) has been specially adapted for the HICP. Sub-indices published by Eurostat are based on this classification. HICP are produced and published using a common index reference period (2015 = 100). Growth rates are calculated from published index levels. Indexes, as well as both growth rates with respect to the previous month (M/M-1) and with respect to the corresponding month of the previous year (M/M-12) are neither calendar nor seasonally adjusted.
    • 3月 2010
      ソース: Maddison Project
      アップロード者: Knoema
      以下でアクセス: 17 9月, 2020
      データセットを選択
      Historical Statistics on Population, GDP and Per Capita GDP for 1-2008 AD period. Copyright Angus Maddison.
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 07 4月, 2024
      データセットを選択
      The House price index captures price changes of all residential properties purchased by households (flats, detached houses, terraced houses, etc.), both new and existing, independently of their final use and their previous owners. Only market prices are considered, self-build dwellings are therefore excluded. The land component is included. The data are expressed as annual average index 2015=100, as 3 years % change and annual average rate of change.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 07 4月, 2024
      データセットを選択
      The house price index captures price changes of all residential properties purchased by households (flats, detached houses, terraced houses, etc.), both new and existing, independently of their final use and their previous owners. Only market prices are considered, self-build dwellings are therefore excluded. The land component is included. The data are expressed as quarterly index (2015=100), annual rate of change and quarterly rate of change.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 07 4月, 2024
      データセットを選択
      The deflated house price index (or real house price index) is the ratio between the house price index (HPI) and the national accounts deflator for private final consumption expenditure (households and non-profit institutions serving households (NPISHs) ). This indicator therefore measures inflation in the house market relative to inflation in the final consumption expenditure of households and NPISHs. Eurostat HPI captures price changes of all residential properties purchased by households (flats, detached houses, terraced houses, etc.), both new and existing, independently of their final use and their previous owners. Only market prices are considered, self-build dwellings are therefore excluded. The land component is included. The data are expressed as annual index 2015=100 and as 1 year % change. The MIP scoreboard indicator is the year-on-year growth rate of the deflated house price index, with an indicative threshold of 6%. The scoreboard indicator is calculated using the formula: [((HPIt/DEFLt)–(HPIt-1/DEFLt-1))/(HPIt-1/DEFLt-1)]*100.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 07 4月, 2024
      データセットを選択
      The deflated house price index (or real house price index) is the ratio between the house price index (HPI) and the national accounts deflator for private final consumption expenditure (households and non-profit institutions serving households (NPIs) ). This indicator therefore measures inflation in the house market relative to inflation in the final consumption expenditure of households and NPIs. Eurostat HPI captures price changes of all residential properties purchased by households (flats, detached houses, terraced houses, etc.), both new and existing, independently of their final use and their previous owners. Only market prices are considered, self-build dwellings are therefore excluded. The land component is included. The data are expressed as quarterly index (2015=100), annual rate of change and quarterly rate of change.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Final consumption expenditure consists of expenditure incurred by resident institutional units on goods or services that are used for the direct satisfaction of individual needs or wants or the collective needs of members of the community (ESA 2010 3.94). Data are calculated as chain-linked volumes (i.e. data at previous year's prices, linked over the years via appropriate growth rates). Seasonally and calendar adjusted data
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Final consumption expenditure consists of expenditure incurred by resident institutional units on goods or services that are used for the direct satisfaction of individual needs or wants or the collective needs of members of the community (ESA 2010 3.94). Data are calculated as chain-linked volumes (i.e. data at previous year's prices, linked over the years via appropriate growth rates). Seasonally and calendar adjusted data.
    • 7月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 04 7月, 2023
      データセットを選択
      The gross investment rate of households (including Non-Profit Institutions Serving Households) is defined as gross fixed capital formation (ESA 2010 code: P51G) divided by gross disposable income (B6G), with the latter being adjusted for the net change in pension entitlements (D8net). Household investment mainly consists of the purchase and renovation of dwellings. Detailed data and methodology on site http://ec.europa.eu/eurostat/sectoraccounts.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The gross saving rate of households is defined as gross saving (ESA 2010 code: B8g) divided by gross disposable income (B6g), with the latter being adjusted for the change in the net equity of households in pension funds reserves (D8net). Gross saving is the part of the gross disposable income which is not spent as final consumption expenditure (ESA 2010 8.96). Indicator described is calculated on the basis of quarterly sector accounts data by institutional sectors. Household sector comprises all households, household firms and Non Profit Institutions Serving Households (NPISH) (ESA 2010 codes S14 and S15). Sector accounts are compiled in accordance with European System of Accounts (ESA 2010). Data are expressed in percentage, in non-seasonal adjusted as well as in seasonal and calendar adjusted form.
    • 3月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 3月, 2018
      データセットを選択
      The gross saving rate of households (including Non-Profit Institutions Serving Households) is defined as gross saving (ESA2010 code: B8G) divided by gross disposable income (B6G), with the latter being adjusted for the change in in pension entitlements (D8net). Gross saving is the part of the gross disposable income which is not spent as final consumption expenditure. The indicator is based on data from annual non-financial sector accounts. For more information please refer to Eurobase domain nasa_10_nf_tr.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The gross investment rate of households is defined as gross fixed capital formation (ESA 2010 code: P51g) divided by gross disposable income (B6g), with the latter being adjusted for the change in the net equity of households in pension funds reserves (D8net). Household investment mainly consists of the purchase and renovation of dwellings. Indicator described is calculated on the basis of quarterly sector accounts data by institutional sectors. Household sector comprises all households, household firms and Non Profit Institutions Serving Households (NPISH) (ESA 2010 codes S14 and S15). Sector accounts are compiled in accordance with European System of Accounts (ESA 2010). Data are expressed in percentage, in non-seasonal adjusted as well as in seasonal and calendar adjusted form.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2024
      データセットを選択
      This indicator is defined as the percentage of the population living in a household where the total housing costs (net of housing allowances) represent more than 40% of the total disposable household income (net of housing allowances) presented by household type.
  • I
    • 8月 2022
      ソース: International Centre for Tax and Development
      アップロード者: Knoema
      以下でアクセス: 16 8月, 2022
      データセットを選択
      Data cited at: ICTD/UNU-WIDER, ‘Government Revenue Dataset’, 2018, https://www.wider.unu.edu/project/government-revenue-dataset' ICTD Government Revenue Dataset, 2018 A major obstacle to cross-country research on the role of revenue and taxation in development has been the weakness of available data. Government Revenue Dataset (GRD), developed through the International Centre for Tax and Development (ICTD), is aimed at overcoming this obstacle. It meticulously combines data from several major international databases, as well as drawing on data compiled from all available International Monetary Fund (IMF) Article IV reports. It achieves marked improvements in data coverage and accuracy, including a standardized approach to revenue from natural resources, and holds the promise of significant improvement in the credibility and robustness of research in this area. Dataset contains Central, General and merged government revenue data reported as % of GDP.
    • 10月 2023
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 07 11月, 2023
      データセットを選択
    • 3月 2009
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 29 11月, 2015
      データセットを選択
      This ad hoc survey was conducted in interested Member States in order to test the feasibility of qualitative surveys in enterprises on topics of varying description. This survey was on the extent, scope, nature and trends of relationships between enterprises, so called inter-enterprise relationships (IER). A task force met several times to set the methodology for the survey and to agree on the coverage of 21 distinct NACE areas, in part aggregating NACE Rev. 1.1 classes, groups and divisions. Variables are to be understood for the purpose of the project as qualitative questions on the subject area of the survey. The samples were drawn in participating countries from the SBS survey frame, with sample sizes up to 10.000 enterprises. Other than the NACE breakdown, a breakdown by employment size classes was applied. While some variables (questions) allowed the selection from a predefined list, others were left to the respondents' judgment as to "very important", "important", "less important" etc.
    • 6月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 03 7月, 2017
      データセットを選択
      The implicit tax rate on employed labour is defined as the sum of all direct and indirect taxes and employees' and employers' social contributions levied on employed labour income divided by the total compensation of employees working in the economic territory increased by taxes on wage bill and payroll. The ITR on labour is calculated for employed labour only (so excluding the tax burden falling on social transfers, including pensions). The implicit tax rate on labour should be seen as a summary measure that approximates an average effective tax burden on labour income in the economy. Source: Structures of the taxation systems in the European Union
    • 6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
    • 2月 2023
      ソース: Petroleum Association of Japan
      アップロード者: Knoema
      以下でアクセス: 20 2月, 2023
      データセットを選択
      Monthly data on Oil Products Imports (by country) in Japan.  
    • 4月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 4月, 2016
      データセットを選択
      Short-term statistics (STS) give information on a wide range of economic activities according to NACE Rev.2 classification (Statistical Classification of Economic Activities in the European Community). The industrial import price indices offer information according to the CPA classification (Statistical Classification of Products by Activity in the European Economic Community). Construction indices are broken down by Classification of Types of Construction (CC). All data under this heading are index data. Percentage changes are also available for each indicator. The index data are generally presented in the following forms:UnadjustedCalendar adjustedSeasonally adjusted Depending on the STS regulation data are accessible as monthly, quarterly and annual data. This heading covers the indicators listed below in four different sectors. Based on the national data, Eurostat compiles EU and euro area infra-annual economic statistics. Among these, a list of indicators, called Principal European Economic Indicators (PEEIs) has been identified by key users as being of prime importance for the conduct of monetary and economic policy of the euro area. These indicators are mainly released through Eurostat's website under the heading Euro-indicators. There are eight PEEIs contributed by STS and they are marked with * in the text below. INDUSTRYProduction (volume)*Turnover: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic turnover into euro area and non euro area is available for the euro area countriesProducer prices (output prices)*: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic producer prices into euro area and non euro area is available for the euro area countriesImport prices*: Total, Euro area market, Non euro area market (euro area countries only)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries CONSTRUCTIONProduction (volume)*: Total of the construction sector, Building construction, Civil EngineeringBuilding permits indicators*: Number of dwellings, Square meters of useful floor (or alternative size measure)Construction costs or prices: Construction costs, Material costs, Labour costs (if not available, they may be approximated by the Output prices variable)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries WHOLESALE AND RETAIL TRADEVolume of sales (deflated turnover)*Turnover (value)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries SERVICESTurnover (in value)*Labour input indicators: Number of persons employed, Hours worked, Gross wages and salariesProducer prices (Output prices )* National reference metadata of the reporting countries can be found in the Annexes of this metadata file.
    • 4月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 12月, 2015
      データセットを選択
    • 11月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 12月, 2017
      データセットを選択
      Data in this domain constitute only a small part of the entire National Accounts data range available from Eurostat. Annual and quarterly national accounts are compiled in accordance with the European System of Accounts - ESA 2010as defined in Annex B of the Council Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013. The previous European System of Accounts, ESA95, was reviewed to bring national accounts in the European Union, in line with new economic environment, advances in methodological research and needs of users and the updated national accounts framework at the international level, the SNA 2008. The revisions are reflected in an updated Regulation of the European Parliament and of the Council on the European system of national and regional accounts in the European Union of 2010 (ESA 2010). The associated transmission programme is also updated and data transmissions in accordance with ESA 2010 are compulsory from September 2014 onwards. The annual data of this domain consists of the following collections: 1. Main GDP aggregates: main components from the output, expenditure and income side.nama_10_gdp: GDP and main components (output, expenditure and income   The quarterly data of this domain consists of the following collections 1. Main GDP aggregates, main components from the output, expenditure and income side, expenditure breakdowns by industry and assets. namq_10_ma: Main GDP aggregatesnamq_10_gdp: GDP and main components (output, expenditure and incomenamq_10_fcs: Final consumption aggregates by durabilitynamq_10_exi: Exports and imports by Member States of the EU/third countries 2. Breakdowns of GDP aggregates and employment data by main industries and asset classes. namq_10_bbr: Basic breakdowns main GDP aggregates and employment (by industry and assets)namq_10_a10: Gross value added and income by A*10 industrynamq_10_an6: Gross fixed capital formation by AN_F6 asset typenamq_10_a10_e: Employment by A*10 industry breakdowns Geographical entities covered are the European Union, the euro area, EU Member States, Candidate Countries, EFTA countries, US, Japan and possibly other countries on an ad-hoc basis. Data sources: National Statistical Institutes
    • 9月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 10月, 2016
      データセットを選択
    • 3月 2024
      ソース: Heritage Foundation
      アップロード者: Knoema
      以下でアクセス: 18 3月, 2024
      データセットを選択
      Data cited at: Heritage Foundation   Economic freedom is the fundamental right of every human to control his or her own labor and property. In an economically free society, individuals are free to work, produce, consume, and invest in any way they please, with that freedom both protected by the state and unconstrained by the state. In economically free societies, governments allow labor, capital and goods to move freely, and refrain from coercion or constraint of liberty beyond the extent necessary to protect and maintain liberty itself. Economic Freedom Scores: Range and level of freedom 80–100:- Free 70–79.9:- Mostly Free 60–69.9:- Moderately Free 50–59.9:- Mostly Unfree 0–49.9:- Repressed
    • 3月 2009
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 7月, 2012
      データセットを選択
      This Dataset contains 4 Tables. Index of purchasing power of the euro/ECU - Annual data (mny_ppe_a) Index of purchasing power of the euro/ECU - Quarterly data (mny_ppe_q) Index of purchasing power of the euro/ECU - Monthly data (mny_ppe_m). Capital raised on stock markets (mny_h_caprais) Note: Eurostat Hierarchy: Economy and finance > Monetary and other financial statistics (mny) > Monetary and other financial statistics: historical data (mny_h) > Index of purchasing power of the euro/ECU (mny_h_ppe).
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 14 3月, 2024
      データセットを選択
      Data given in this domain are collected annually by the National Statistical Institutes and are based on Eurostat's annual model questionnaires on ICT (Information and Communication Technologies) usage in households and by individuals. The model questionnaire changes every year. The changes of questions in the MQ are required by the evolving situation of information and communication technologies. Large part of the data collected are used in the context of the follow up of the Digital Single Market process (Monitoring the Digital Economy & Society  2016-2021). This conceptual framework follows the 2011 - 2015 benchmarking framework, the i2010 Benchmarking Framework and the eEurope 2005 Action Plan. ICT usage data are also used in the Consumer Conditions Scoreboard (purchases over the Internet) and in the Employment Guidelines (e-skills of individuals). The aim of the European ICT surveys is the timely provision of statistics on individuals and households on the use of Information and Communication Technologies at European level. Data for this collection are supplied directly from the surveys with no separate treatment. Coverage: The characteristics to be provided are drawn from the following list of subjects: access to and use of ICTs by individuals and/or in households,use of the Internet and other electronic networks for different purposes by individuals and/or in households,ICT security and trust,ICT competence and skills,barriers to the use of ICT and the Internet,perceived effects of ICT usage on individuals and/or on households,use of ICT by individuals to exchange information and services with governments and public administrations (e-government),access to and use of technologies enabling connection to the Internet or other networks from anywhere at any time (ubiquitous connectivity).Breakdowns (see details of available breakdowns): Relating to households: by region of residence (NUTS 1, optional: NUTS 2)by geographical location: less developed regions, transition regions, more developed regionsby degree of urbanisation (till 2012: densely/intermediate/sparsely populated areas; from 2012: densely/thinly populated area, intermediate density area) by type of householdby households net monthly income (optional) Relating to individuals: by region of residence (NUTS1, optional: NUTS 2)by geographical location: less developed regions, transition regions, more developed regionsby degree of urbanisation: (till 2012: densely/intermediate/sparsely populated areas; from 2012: densely/thinly populated area, intermediate density area)by genderby country of birth, country of citizenship (as of 2010, optional in 2010)by educational level: ISCED 1997 up to 2013 and ISCED 2011 from 2014 onwards.by occupation: manual, non-manual; ICT (coded by 2-digit ISCO categories)/non-ICT (optional: all 2-digit ISCO categories)by employment situationby age (in completed years and by groups)legal / de facto marital status (2011-2014, optional) Regional breakdowns (NUTS) are available only for a selection of indicators disseminated in the regional tables in Eurobase (Regional Information society statistics by NUTS regions (isoc_reg): Households with access to the internet at homeHouseholds with broadband accessIndividuals who have never used a computerIndividuals who used the internet, frequency of use and activitiesIndividuals who used the internet for interaction with public authoritiesIndividuals who ordered goods or services over the internet for private useIndividuals who accessed the internet away from home or work
    • 6月 2022
      ソース: United Nations Industrial Development Organization
      アップロード者: Andrene Gayle
      以下でアクセス: 28 6月, 2022
      データセットを選択
      Please refer the latest version here : https://knoema.com/UNIDOISR2022/industrial-statistics-database-indstat-4-2022-isic-revision-4 The UNIDO Industrial Statistics Database at the 2-digit level of ISIC (INDSTAT2) contains disaggregated data on the manufacturing sector. 
    • 6月 2022
      ソース: United Nations Industrial Development Organization
      アップロード者: manish pandey
      以下でアクセス: 21 6月, 2022
      データセットを選択
      Please refer the latest version here : https://knoema.com/UNIDOISR2022/industrial-statistics-database-indstat-4-2022-isic-revision-4 Data cited at- https://stat.unido.org/database/INDSTAT%204%202022,%20ISIC%20Revision%204
    • 4月 2023
      ソース: United Nations Industrial Development Organization
      アップロード者: Knoema
      以下でアクセス: 25 4月, 2023
      データセットを選択
      The UNIDO Industrial Statistics Database at the 4-digit level of ISIC (INDSTAT4) contains highly disaggregated data on the manufacturing sector. Comparability of data over time and across the countries has been the main priority of developing and updating this database. INDSTAT4 offers a unique possibility of in-depth analysis of the structural transformation of economies over time.The database contains seven principle indicators of industrial statistics. The data are arranged at the 3- and 4-digit level of the International Standard Industrial Classification of All Economic Activities (ISIC) Revision 3  and 4 pertaining to the manufacturing, which comprises more than 150 manufacturing sectors and sub-sectors.The database contains following indicators of industrial statistics:Number of establishments.Number of employees.Wages and salaries.Output.Value added.Gross fixed capital formation.Number of female employees Note: Knoema calculated the indicator Productivity Data cited at- https://stat.unido.org/database/INDSTAT%204%202022,%20ISIC%20Revision%204
    • 1月 2011
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 8月, 2015
      データセットを選択
      Eurostat Dataset Id:ei_bsin_q_bc Six qualitative surveys are conducted on a monthly basis in the following areas: manufacturing industry, construction, consumers, retail trade, services and financial services. Some additional questions are asked on a quarterly basis in the surveys in industry, services, financial services, construction and among consumers. In addition, a survey is conducted twice a year on Investment in the manufacturing sector. The domain consists of a selection for variables from the following type of survey: Industry monthly questions for: production, employment expectations, order-book levels, stocks of finished products and selling price. Industry quarterly questions for:production capacity, order-books, new orders, export expectations, capacity utilization, Competitive position and factors limiting the production. Construction monthly questions for: trend of activity, order books, employment expectations, price expectations and factors limiting building activity. Construction quarterly questions for: operating time ensured by current backlog. Retail sales monthly questions for: business situation, stocks of goods, orders placed with suppliers and firm's employment. Services monthly questions for: business climate, evolution of demand, evolution of employment and selling prices. Services quarterly question for: factors limiting their business Consumer monthly questions for: financial situation, general economic situation, price trends, unemployment, major purchases and savings. Consumer quarterly questions for: intention to buy a car, purchase or build a home, home improvements. Financial services monthly questions for: business situation, evolution of demand and employment Financial services quarterly questions for: operating income, operating expenses, profitability of the company, capital expenditure and competitive position Monthly Confidence Indicators are computed for industry, services, construction, retail trade, consumers (at country level, EU and euro area level) and financial services (EU and euro area). An Economic Sentiment indicator (ESI) is calculated based on a selection of questions from industry, services, construction, retail trade and consumers at country level and aggregate level (EU and euro area). A monthly Euro-zone Business Climate Indicator is also available for industry. The data are published:as balance i.e. the difference between positive and negative answers (in percentage points of total answers)as indexas confidence indicators (arithmetic average of balances),at current level of capacity utilization (percentage)estimated months of production assured by orders (number of months)Unadjusted (NSA) and seasonally adjusted (SA)
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 3月, 2024
      データセットを選択
      Eurostat Dataset Id:sbs_sc_ind_r2 SBS covers the Nace Rev.2 Section B to N and division S95 which are organized in four annexes, covering Industry (sections B-E), Construction (F), Trade (G) and Services (H, I, J, L, M, N and S95). Financial services are covered in three specific annexes and separate metadata files have been compiled. Up to reference year 2007 data was presented using the NACE Rev.1.1 classification. The SBS coverage was limited to NACE Rev.1.1 Sections C to K. Starting from the reference year 2008 data is available in NACE Rev.2. Double reported data in NACE Rev.1.1 for the reference year 2008 will be available in the first and second quarter of 2011. 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) Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. 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' in NACE Rev 1.1 sections H, I, K 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 Rev2 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 for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 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 N°1614/2002 and N°1669/2003. SBS data are collected primarily by National Statistical Institutes (NSI). Regulatory or controlling national offices for financial institutions or central banks often provides the information required for the financial sector (NACE Rev 2 Section K / NACE  Rev 1.1 Section J). 
    • 11月 2021
      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 12月, 2021
      データセットを選択
    • 9月 2023
      ソース: European Central Bank
      アップロード者: Knoema
      以下でアクセス: 25 9月, 2023
      データセットを選択
      Insurance Corporations : Balance Sheet Liabilities
    • 2月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 2月, 2021
      データセットを選択
      A count of the number of all life insurance enterprises active during at least a part of the reference period. Life insurance comprises non-linked life insurance, linked life insurance, tontine insurance, capital redemption insurance and other life insurance.
    • 2月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 2月, 2021
      データセットを選択
      Gross claims payments comprise all payments in respect of the financial year including reinsurance. A claim is a demand made by the insured, or the insured's beneficiary, for payment of the benefits provided by the insurance contract or for coverage of an incurred loss.
    • 2月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 2月, 2021
      データセットを選択
      Gross premiums written shall comprise all amounts due during the financial year in respect of insurance contracts regardless of the fact that such amounts may relate in whole or in part to a later financial year, and shall include inter alia reinsurance premiums received from other insurance undertakings. The above amounts shall not include the amounts of taxes or charges levied with premiums.
    • 2月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 2月, 2021
      データセットを選択
      Persons employed - Life: employees plus working proprietors, partners and unpaid family members, paid persons outside the enterprise, e.g. salespersons, delivery persons and repair/maintenance teams. Also included are persons absent on leave, those on strike but not those on indefinite absence. Part-time, seasonal, apprentices and home-workers are included. Not included are those employed by other enterprises, repair/maintenance teams employed by other companies and those on military service.
    • 4月 2024
      ソース: Knoema
      アップロード者: Knoema
      以下でアクセス: 16 4月, 2024
      データセットを選択
    • 4月 2024
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 05 4月, 2024
      データセットを選択
      Data cited at: International Financial Statistics (IFS), The International Monetary Fund. The International Financial Statistics database covers about 200 countries and areas, with some aggregates calculated for selected regions, plus some world totals. Topics covered include balance of payments, commodity prices, exchange rates, fund position, government finance, industrial production, interest rates, international investment position, international liquidity, international transactions, labor statistics, money and banking, national accounts, population, prices, and real effective exchange rates. The International Financial Statistics is based on various IMF data collections. It includes exchange rates series for all Fund member countries plus Anguilla, Aruba, China, PR: Hong Kong, China, PR: Macao, Montserrat, and the Netherlands Antilles. It also includes major Fund accounts series, real effective exchange rates, and other world, area, and country series. Data are available for most IMF member countries with some aggregates calculated for select regions, plus some world totals. National Accounts, Indicators of Economic Activity, Labor Markets, Prices, Government and Public Sector Finance, Financial Indicators, Balance of Payments, International Investment Position, International Reserves, Fund Accounts, External Trade, Exchange Rates, and Population.
    • 10月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 31 12月, 2015
      データセットを選択
      International investment position (assets, liabilities and net position); broken down by investment category, financial instruments and by sectors of the economy. Data are presented in millions of Euro/ECU. Geographic coverage: Euro area and EU27 Member States. Data are delivered by ECB.
    • 1月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 1月, 2024
      データセットを選択
      The Balance of Payments (BOP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of an economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, primary and secondary income), as well as on transactions which fall in the capital and the financial account. International investment position presents value of financial assets owned outside the economy and indebtedness of the economy to the rest of the world. BOP is an important macro-economic indicator used to assess the position of an economy (of credit or debit for current and capital acount, net acquisition of financial assets or net incurrence of liabilities for BOP financial account and international investment position) towards the external world. Out of BOP data, some indicators on international position of the EU and Member States are derived. Indicators on Main Balance of Payments and International Investment Position items as share of GDP are presented as percentage of GDP for given year or quarter and moving average for 3 consecutive years for:Balance, credit and debit flows of current and capital accounts and of main current account  items: goods, services, primary and secondary income,Net flows, net acquisition of financial assets and net incurrence of liabilities for total financial account and foreign direct investment,International investment position and net external debt at the end of reference quarter or year. Indicators on export market shares present shares of each EU Member State in total world exports of goods and services for given year, and 1-year and 5-year percentage changes of these shares, as well as shares in OECD exports and 5-year percentage changes of these shares.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The international investment position (IIP) is a statistical statement that shows at a point in time the value and composition of: -financial assets of residents of an economy that are claims on non-residents and gold bullion held as reserve assets, and -liabilities of residents of an economy to non-residents. The difference between an economy’s external financial assets and liabilities is the economy’s net IIP, which may be positive or negative. The indicator is based on the Eurostat data from the Balance of payment statistics, i.e. the same data source used for the current account balance. The data are expressed in million units of national currency. Definitions are based on the IMF Sixth Balance of Payments Manual (BPM6).
    • 1月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 26 1月, 2024
      データセットを選択
      The Balance of Payments (BOP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of an economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, primary and secondary income), as well as on transactions which fall in the capital and the financial account. International investment position presents value of financial assets owned outside the economy and indebtedness of the economy to the rest of the world. BOP is an important macro-economic indicator used to assess the position of an economy (of credit or debit for current and capital acount, net acquisition of financial assets or net incurrence of liabilities for BOP financial account and international investment position) towards the external world. Out of BOP data, some indicators on international position of the EU and Member States are derived. Indicators on Main Balance of Payments and International Investment Position items as share of GDP are presented as percentage of GDP for given year or quarter and moving average for 3 consecutive years for:balance, credit and debit flows of current and capital accounts and of main current account  items: goods, services, primary and secondary income,net flows, net acquisition of financial assets and net incurrence of liabilities for total financial account and foreign direct investment, international investment position and net external debt at the end of reference quarter or year. Indicators on export market shares present shares of each EU Member State in total world exports of goods and services for given year, and 1-year and 5-year percentage changes of these shares, as well as shares in OECD exports and 5-year percentage changes of these shares.
    • 11月 2023
      ソース: U.S. Department of Agriculture
      アップロード者: Knoema
      以下でアクセス: 05 12月, 2023
      データセットを選択
    • 6月 2013
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 22 7月, 2013
      データセットを選択
      Time series on international reserves (including gold), by individual country, expressed in millions of dollars. It further presents the number of months of merchandise imports that these reserves could finance at current imports level, as well as annual changes in total reserves.
    • 5月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 6月, 2020
      データセットを選択
      Eurostat Dataset Id:med_ec4 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â
    • 5月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 6月, 2020
      データセットを選択
      The focus of this domain is on the European Neighbourhood Policy (ENP) countries on the southern and eastern shores of the Mediterranean (ENP-South), namely: Algeria (DZ),Egypt (EG),Israel (IL),Jordan (JO),Lebanon (LB),Libya (LY),Morocco (MA),Palestine (PS),Syria (SY) andTunisia (TN). An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. The data and their denomination in no way constitute the expression of an opinion by the European Commission on the legal status of a country or territory or on the delimitation of its borders.
    • 7月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2016
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 7月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2016
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 7月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 7月, 2016
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 7月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2016
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 7月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2016
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 7月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 7月, 2016
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 7月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2016
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 7月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2016
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 7月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2016
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 7月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2016
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 7月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2016
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 7月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2016
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 7月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2016
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 11月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 01 12月, 2017
      データセットを選択
      Eurostat uses as a base for its work the OECD Benchmark Definition of Foreign Direct Investment Third Edition, a detailed operational definition fully consistent with the IMF Balance of Payments Manual, Fifth Edition, BPM5. Foreign direct investment (FDI) is the category of international investment made by an entity resident in one economy (direct investor) to acquire a lasting interest in an enterprise operating in another economy (direct investment enterprise). The lasting interest is deemed to exist if the direct investor acquires at least 10% of the voting power of the direct investment enterprise. FDI statistics record separately: 1) Inward FDI (or FDI in the reporting economy), namely investment by foreigners in enterprises resident in the reporting economy. 2) Outward FDI (or FDIabroad), namely investment by residents entities in affiliated enterprises abroad. FDI statistics record both the initial investment and all subsequent investment made by the direct investor, either in the form of equity capital, or in the form of loans, or in the form of reinvesting earnings. Investment made through other affiliated enterprises of the same group of the direct investor should also be recorded according to the international methodology. There are three main indicators: FDI flows, stocks and income. The indicators described in more detail below are presented in the complete tables with a breakdown by partner country or region and a breakdown by the kind of activity in which FDI is made. In the table called "Main indicators" there is a reduced breakdown by partners and data for total activity only. See the part on classification system for more detail. See also the User's guideon the structure on the database and for practical information on data downloading. 1) FDI flows denote the new investment made during the period. FDI flows are recorded in the Balance of Payments financial account. Total FDI flows are broken down by kind of instrument used for making the investment:Equity capital comprises equity in branches, all shares in subsidiaries and associates (except non-participating, preferred shares that are treated as debt securities and are included under other FDI capital) and other contributions such as the provision of machinery.Reinvested earnings consist of the direct investor's share (in proportion to equity participation) of earnings not distributed by the direct investment enterprise. Reinvested earnings are an imputed transaction. Reinvested earnings are also recorded with opposite sign among FDI income (see below). This recording represents not distributed income as being earned by the direct investor and reinvested in the direct investment enterprise at the same time.Other FDI capital (loans) covers the borrowing and lending of funds, including debt securities and trade credits between direct investors and direct investment enterprises. Debt transactions between affiliated financial intermediaries recorded under direct investment flows are limited to permanent debt. 2) FDI stocks (or positions) denote the value of the investment at the end of the period. FDI stocks are recorded in the International Investment Position. Outward FDI stocks are recorded as assets of the reporting economy, inward FDI stocks as liabilities. Similarly with flows, FDI stocks are broken down by kind of instrument. However, there are only two categories instead of three:Equity capital and reinvested earnings is the value of the own capital of the enterprise, including the value of own reserves that are accumulated from past reinvested earnings. Reserves corresponding to reinvested earnings are not shown separately from other equity capital as in the case of flows.Other FDI capital is the stock of debts (assets or liabilities) between the direct investors and the direct investment enterprise. 3) FDI income is the income accruing to direct investors during the period. FDI income is recorded in the current account of the Balance of Payments. Total FDI income is broken down by kind of income. The categories of FDI income available are linked to the breakdown of FDI flows and stocks by kind of instrument, namely:Dividends Dividends payable in the period and branch profits remitted to the direct investor, gross of any withholding taxes. Dividends include payments due on common and preferred shares.Reinvested earnings See definition under FDI flows.Interest on loans Interest accrued in the period on loans (other FDI capital) with affiliated enterprises, gross of any withholding tax. 4) FDI intensity Out of FDI annual data, an indicator useful to measure EU market integration is also calculated and disseminated in the domain Structural Indicators:FDI intensity as % of GDP: Average of inward and outward FDI flows divided by GDP. A higher index indicates higher new FDI during the period in relation to the size of the economy as measured by GDP. If this index increases over time, then the country/zone is becoming more integrated with the international economy.
    • 3月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 3月, 2018
      データセットを選択
      20.1. Source data
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The gross investment rate of non-financial corporations is defined as gross fixed capital formation (ESA 2010 code: P.51g) divided by gross value added (B1g). This ratio relates the investment of non-financial businesses in fixed assets (buildings, machinery etc.) to the value added created during the production process. Non-financial corporation includes all private and public corporate enterprises that produce goods or provide non-financial services to the market (ESA 2010 code: S11) Indicator described is calculated on the basis of quarterly sector accounts data by institutional sectors. Sector accounts are compiled in accordance with European System of Accounts (ESA 2010). Data are expressed in percentage, in non-seasonal adjusted as well as in seasonal and calendar adjusted form.
    • 7月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 04 7月, 2023
      データセットを選択
      The gross investment rate of non-financial corporations is defined as gross fixed capital formation (ESA 2010 code: P51G) divided by gross value added (B1G). This ratio relates the investment of non-financial businesses in fixed assets (buildings, machinery etc.) to the value added created during the production process. Detailed data and methodology on site http://ec.europa.eu/eurostat/sectoraccounts.
    • 4月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 12月, 2015
      データセットを選択
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Foreign direct investment (FDI) is the category of international investment made by a resident entity (direct investor) to acquire a lasting interest in an entity operating in an economy other than that of the investor (direct investment enterprise). The lasting interest is deemed to exist if the investor acquires at least 10% of the equity capital of the enterprise. For this indicator stocks of FDI in the reporting economy are expressed as percentage of GDP to remove the effect of differences in the size of the economies of the reporting countries.
  • K
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The non-financial Quarterly Sector Accounts (QSA) are compiled in accordance with the European System of Accounts (ESA 2010) and are transmitted by the EU Member States and EEA Members (Norway, Iceland) following ESA2010 transmission programme (Table 801) 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). The QSA encompass non-financial accounts that provide a description of the different stages of the economic process: production, generation of income, distribution of income, redistribution of income, use of income and non-financial accumulation. The ASA record the economic flows of institutional sectors in order to illustrate their economic behaviour and interactions between them. They also provide a list of balancing items that have high analytical value in their own right: value added, operating surplus and mixed income, balance of primary incomes, disposable income, saving, net lending / net borrowing. All of them but net lending / net borrowing, can be expressed in gross or net terms, i.e. with and without consumption of fixed capital that accounts for the use and obsolescence of fixed assets. In terms of institutional sectors, a broad distinction is made between the domestic economy (ESA 2010 classification code S.1) and the rest of the world (S.2). Within S.1 and S.2, in turn, more detailed subsectors are distinguished as explained in more detail in section "3.2 Classification system". Data are presented in the table "Non-financial transactions" (nasq_10_nf_tr). The table contains data, as far as they are available, expressed in national currency and millions of euro in current prices. In line with ESA2010 Transmission programme requirements data series start from 1999 Q1 (unless subject to voluntary transmission option and/or country specific derogations). Available level of detail by sectors and transactions may also vary by country due to voluntary transmission of some items (as defined in ESA2010 transmission programme) and country specific derogations. QSA collected according ESA2010 Transmission programme include selected data on employment (in persons and hours worked) and seasonally adjusted variables by institutional sectors. However, as transmission of these variables is voluntary (except for the selected seasonally adjusted variables of Total economy and the Rest of the world), data availability may vary significantly across countries. A set of key indicators, deemed meaningful for economic analysis, is available in the table "Key indicators" (nasq_10_ki) for most of the members of the European Economic Area (EEA), of the Euro area and EU. Key indicators are generally released in non-seasonally adjusted terms. Only EA/EU aggregate key indicators are also available seasonally adjusted. Key ratios are derived from non-financial transactions as follows:Gross household saving rate (S.14_S.15): B8G/(B6G+D8rec-D8pay)*100Gross investment rate of households (S.14_S.15): P51G/(B6G+D8rec-D8pay)*100Gross investment rate of non-financial corporations (S.11): P51G/B1G*100Gross profit share of non-financial corporations (S.11): B2G_B3G/B1G*100 With the following transaction codes:B6G - Gross disposable incomeB8G -  Gross savingD8rec / D8pay - the adjustment for the change in pension entitlements (receivable / payable)P51G - Gross fixed capital formationB1G - Gross value addedB2G_B3G - Gross operating surplus/ mixed income. The following seasonally adjusted key indicators are calculated in real terms for European aggregates only: Nominal growth of household adjusted disposable income per capita (percentage change on previous period, S.14_S.15): B7G/(POP_NC)Real growth of household adjusted disposable income per capita (percentage change on previous period, S.14_S.15): B7G/(POP_NC*Price Deflator)Real growth of household actual consumption per capita (percentage change on previous period, S.14_S.15): P4/(POP_NC*Price Deflator) With the following codes (the codes already described above have not been listed): B7G - Gross adjusted gross disposable income (adjusted for social transfers in kind)P4 - Actual final consumption (adjusted for social transfers in kind)POP_NC - Total population national concept (source:Quarterly national accounts, Eurobase domain namq_10_pe)Price deflator - Price index/implicit deflator calculated as CP_MEUR/CLV05_MEUR – both indicators refer to households and NPISH final consumption expenditure (P31_S14_S15) (source: Quarterly national accounts, Eurobase domain namq_10_gdp) In the above, all ratios are expressed in gross terms, i.e. before deduction of consumption of fixed capital. The following key indicators combine non-financial with financial accounts:Household net financial assets ratio (BF90/(B6G+D8net)) With the following codes (the codes already described above have not been listed):BF90 – Financial net worth "rec" means resources, that is transactions that add to the economic value of a given sector. "pay" means "uses", that is transactions that reduce the economic value of a given sector. "liab" refers to the stock of liabilities incurred by a given sector and recorded in the financial balance sheets. See also the sector accounts dedicated website for more information.
    • 1月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 26 1月, 2024
      データセットを選択
      The non-financial Annual Sector Accounts (ASA) are compiled in accordance with the European System of Accounts (ESA 2010) and are transmitted by the EU Member States, EEA Members (Norway, Iceland) and Switzerland following ESA2010 transmission programme (Table 8) 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). The ASA encompass non-financial accounts that provide a description of the different stages of the economic process: production, generation of income, distribution of income, redistribution of income, use of income and non-financial accumulation. The ASA record the economic flows of institutional sectors in order to illustrate their economic behaviour and interactions between them. They also provide a list of balancing items that have high analytical value in their own right: value added, operating surplus and mixed income, balance of primary incomes, disposable income, saving, net lending / net borrowing. All of them but net lending / net borrowing, can be expressed in gross or net terms, i.e. with and without consumption of fixed capital that accounts for the use and obsolescence of fixed assets. In terms of institutional sectors, a broad distinction is made between the domestic economy (ESA 2010 classification code S.1) and the rest of the world (S.2). Within S.1 and S.2, in turn, more detailed subsectors are distinguished as explained in more detail in section "3.2 Classification system". Data are presented in the table "Non-financial transactions" (nasa_10_nf_tr). The table contains data, as far as they are available, expressed in national currency and millions of euro in current prices. In line with ESA2010 Transmission programme requirements data series start from 1995 (unless subject to voluntary transmission option and/or country specific derogations). Countries may transmit longer series on voluntary basis. Available level of detail by sectors and transactions may also vary by country due to voluntary transmission of some items (as defined in ESA2010 transmission programme) and country specific derogations. ASA collected according ESA2010 Transmission programme include selected data on employment (in persons and hours worked) by institutional sectors. However, as transmission of these variables is voluntary (except for the sector of General government), data availability may vary significantly across countries. A set of key indicators, deemed meaningful for economic analysis, is available in the table "Key indicators" (nasa_10_ki) for most of the members of the European Economic Area (EEA), of the Euro area and EU. Key ratios are derived from non-financial transactions as follows: Gross household saving rate (S.14_S.15): B8G/(B6G+D8rec-D8pay)*100Gross investment rate of households (S.14_S.15): P51G/(B6G+D8rec-D8pay)*100Gross investment rate of non-financial corporations (S.11): P51G/B1G*100Gross profit share of non-financial corporations (S.11): B2G_B3G/B1G*100Total investment to GDP ratio (S.1): P51G/B1GQ*100Business investment to GDP ratio: (S.11_P51G+S.12_P51G)/B1GQ*100Government investment to GDP ratio: S.13_P51G/B1GQ*100Households investment to GDP ratio: (S.14_S.15_P51G)/B1GQ*100 With the following transaction codes: B8G -  Gross savingB6G - Gross disposable incomeD8rec / D8pay - the adjustment for the change in pension entitlements (receivable / payable)P51G - Gross fixed capital formationB1G - Gross value addedB1GQ – Gross domestic productB2G_B3G - Gross operating surplus/ mixed income. In the above, all ratios are expressed in gross terms, i.e. before deduction of consumption of fixed capital. The following key indicators are calculated in real or nominal terms: Real growth of household adjusted disposable income per capita (percentage change on previous period, S.14_S.15): B7G/(POP_NC*Price Deflator)Nominal growth of household adjusted disposable income per capita (percentage change on previous period, S.14_S.15): B7G/(POP_NC)Real growth of household actual consumption per capita (percentage change on previous period, S.14_S.15): P4/(POP_NC*Price Deflator) With the following codes (the codes already described above have not been listed): B7G - Gross adjusted gross disposable income (adjusted for social transfers in kind)P4 - Actual final consumption (adjusted for social transfers in kind)POP_NC - Total population national concept (source:Quarterly national accounts, Eurobase domain namq_10_pe)Price deflator - Price index/implicit deflator calculated as CP_MEUR/CLV10_MEUR – both indicators refer to households and NPISH final consumption expenditure (P31_S14_S15) (source: Quarterly national accounts, Eurobase domain namq_10_gdp) The following key indicators combine non-financial with financial accounts: Gross return on capital employed, before taxes, of non-financial corporations (S.11): [B2G_B3G/(AF2+AF3+AF4+AF5, liab)]*100Net debt-to-income ratio, after taxes, of non-financial corporations (S.11): ([(AF2+AF3+AF4, liab)/(B4N-D5pay)]*100)Net return on equity, after taxes, of non-financial corporations (S.11): [(B4N-D5pay)/(AF5, liab)]*100Gross debt-to-income ratio of households (S.14_15): [(AF4, liab)/(B6G+D8net)]*100Household net financial assets ratio (BF90/(B6G+D8net)) With the following codes (the codes already described above have not been listed): B4N - Net entrepreneurial incomeD5pay - Current taxes on income and wealthAF2 - Currency and depositsAF3 - Debt securities (excluding financial derivatives)AF4 - LoansAF5 - Equity and investment fund sharesBF90 – Financial net worth "rec" means resources, that is transactions that add to the economic value of a given sector. "pay" means "uses", that is transactions that reduce the economic value of a given sector. "liab" refers to the stock of liabilities incurred by a given sector and recorded in the financial balance sheets. See also the sector accounts dedicated website for more information.
    • 8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
      The Quarterly Sector Accounts (QSA) are compiled in accordance with the European System of Accounts - ESA 1995 (Council Regulation 2223/96). The transmission of the QSA data by the Member States follows the Regulation (EC) N° 1161/2005 of the European Parliament and of the Council (QSA regulation). The QSA encompass the non-financial accounts and provide a description of the different stages of the economic process: production, generation of income, distribution of income, redistribution of income, use of income and non-financial accumulation. The compilation of QSA is the outcome of a close collaboration by Eurostat and the ECB, in cooperation with the national statistical institutes and national central banks. The ECB and Eurostat are publishing integrated non-financial and financial accounts, including financial balance sheets, for the euro area (the euro area accounts). Eurostat is also publishing the non-financial accounts for the EU. The QSA record the economic flows of institutional sectors in order to illustrate their economic behaviour and show relations between them. They also provide a list of balancing items that have high analytical value in their own right: value added, operating surplus and mixed income, balance of primary incomes, disposable income, saving, net lending / net borrowing. All of them but net lending / net borrowing, can be expressed in gross or net terms, i.e. with and without consumption of fixed capital that accounts for the use and obsolescence of fixed assets. In terms of institutional sectors, a broad distinction is made between the domestic economy (ESA 1995 classification code S.1) and the rest of the world (S.2). Within S.1, in turn, the following institutional sectors are distinguished: - Non-financial Corporations (S.11) - Financial Corporations (S.12) - General Government (S.13) - Households and Non-profit Institutions Serving Households (S.14 + S.15). The full set of quarterly sector accounts is published for euro area / EU28 aggregates only. However, a subset of quarterly national key indicators is available at dedicated section (see "Quarterly data") as well as in the database (see table "Key indicators") for most of the 17 members of the European Economic Area (EEA) whose GDP is above 1% of the EU28 total. The other EEA members do not have to transmit the quarterly accounts of corporations and households to Eurostat. Non-financial accounts are presented in the table "Non-financial transactions" (nasq_nf_tr). The other three tables (only the Euro area) include financial accounts, other flows and balance sheets. QSA data are provided at current prices only. The key indicators (and their components) of households and non-financial corporations as published in the QSA news release are seasonally adjusted. Data are presented in millions of national currency, euro and as percentages.
    • 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
      The Annual Sector Accounts (ASA) are compiled in accordance with the European System of Accounts - ESA 1995 (Council Regulation 2223/96). The transmission of the ASA data by the Member States follows the Regulation (EC) N° 1392/2007 of the European Parliament and of the Council (new ESA95 transmission programme). The ASA encompass the non-financial accounts and provide a description of the different stages of the economic process: production, generation of income, distribution of income, redistribution of income, use of income and non-financial accumulation. The ASA record the economic flows of institutional sectors in order to illustrate their economic behaviour and show relations between them. They also provide a list of balancing items that have high analytical value in their own right: value added, operating surplus and mixed income, balance of primary incomes, disposable income, saving, net lending / net borrowing. All of them but net lending / net borrowing, can be expressed in gross or net terms, i.e. with and without consumption of fixed capital that accounts for the use and obsolescence of fixed assets. In terms of institutional sectors, a broad distinction is made between the domestic economy (ESA 1995 classification code S.1) and the rest of the world (S.2). Within S.1 and S.2, in turn, more detailed subsectors are distinguished in "3.2 Classification system". Data are presented in the table "Non-financial transactions" (nasa_nf_tr). The table contains data, as far as they are available, expressed in national currency and millions of euro in current prices. The availability of back data varies according to country. A subset of national key indicators is available in the table "Key indicators" for most of the members of the European Economic Area (EEA), for the euro area and for the EU28. See also the sector accounts dedicated website for more information.
    • 3月 2024
      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: 01 3月, 2024
      データセットを選択
      The Key Economic Indicators (KEI) database contains monthly and quarterly statistics (and associated statistical methodological information) for all OECD member countries and for a selection of non-member countries on a wide variety of economic indicators, namely: quarterly national accounts, industrial production, composite leading indicators, business tendency and consumer opinion surveys, retail trade, consumer and producer prices, hourly earnings, employment/unemployment, interest rates, monetary aggregates, exchange rates, international trade and balance of payments.
  • L
    • 4月 2024
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 08 4月, 2024
      データセットを選択
      With the aim of promoting international comparability, statistics presented on ILOSTAT are based on standard international definitions wherever feasible and may differ from official national figures. This series is based on the 13th ICLS definitions. For time series comparability, it includes countries that have implemented the 19th ICLS standards, for which data are also available in the Work Statistics -- 19th ICLS (WORK) database. The labour force is the sum of all persons of working age who are employed and those who are unemployed. For more information, refer to the Rural and Urban Labour Market Statistics (RURBAN) database description.
    • 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
      The level of citizens confidence in EU institutions (Council of the European Union, European Parliament and European Commission) is expressed as the share of positive opinions (people who declare that they tend to trust) about the institutions. The indicator is based on the Eurobarometer, a survey which has been conducted twice a year since 1973 to monitor the evolution of public opinion in the Member States. The indicator only displays the results of the autumn survey. Potential replies to the question on the level of confidence include 'tend to trust', 'tend not to trust' and 'don't know' or 'no answer'. Trust is not precisely defined and could leave some room for interpretation to the interviewees.
    • 11月 2023
      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: 08 11月, 2023
      データセットを選択
      The productivity and income estimates presented in this dataset are mainly based on GDP, population and employment data from the OECD Annual National Accounts. Hours worked are sourced from the OECD Annual National Accounts, the OECD Employment Outlook and national sources. The OECD Productivity Database aims at providing users with the most comprehensive and the latest productivity estimates. The update cycle is on a rolling basis, i.e. each variable in the dataset is made publicly available as soon as it is updated in the sources databases. However, timely data issues may arise and affect individual series and/or individual countries. In particular, annual hours worked estimates from the OECD Employment Outlook are typically updated less frequently (once a year, in the summer) than series of hours worked from the OECD Annual National Accounts.
    • 12月 2021
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: manish pandey
      以下でアクセス: 03 12月, 2021
      データセットを選択
      The OECD Long-Term Baseline Scenario is a projection of some major economic variables beyond the short-term horizon of the OECD Economic Outlook. It covers all OECD economies, non-OECD G20 economies and key partners. The projection horizon is currently 2060. For the historical period and the short-run projection horizon, the series are consistent with those of the OECD Economic Outlook number in the dataset title. The definitions, sources and methods are also the same, except where noted explicitly (such as coverage of the non-OECD and world aggregates). For more details on the methodology, please see Boxes 1 to 3 in The Long View: Scenarios for the World Economy to 2060 and the references therein.The baseline scenario is a projection conditional on a number of assumptions, notably that countries do not carry out institutional and policy reforms. It is used as a reference point to illustrate the potential impact of structural reforms in alternative scenarios, such as those discussed in The Long View: Scenarios for the World Economy to 2060. The data for these alternative scenarios are not available here but can be obtained on request by writing to [email protected].
  • M
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 26 3月, 2024
      データセットを選択
      The focus of this domain is on enlargement countries, in other words the following country groups:candidate countries — Albania (AL), the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)potential candidates — Bosnia and Herzegovina (BA), as well as Kosovo (XK) (*) An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. (*) This designation is without prejudice to positions on status and is in line with UNSCR 1244 and the ICJ Opinion on the Kosovo declaration of independence.
    • 11月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 11月, 2023
      データセットを選択
      The Macroeconomic Imbalances Procedure (MIP) is a surveillance mechanism that aims to identify potential macroeconomic risks early on, prevent the emergence of harmful macroeconomic imbalances, and correct the imbalances that are already in place. It is a mechanism for monitoring economic policies and detecting potential harm to the proper functioning of the economy of a Member State, of the Economic and Monetary Union, and of the European Union as a whole. The MIP covers a number of sequential steps, having the  Alert Mechanism Report (AMR), as a starting point. The report is an initial screening device and it consists of Statistical annex, presenting the MIP Scoreboard indicators. The AMR identifies the Member States for which further analysis (in the form of an in-depth review) is deemed necessary in order to decide whether an imbalance in need of policy action exists. The MIP Scoreboard comprises a small number of relevant, practical, simple, measurable and available macroeconomic and macrofinancial indicators. It is used as a tool to facilitate early identification and monitoring of imbalances and consists of headline indicators with defined  indicative thresholds, serving as alert levels. A wider set of auxiliary indicators is used for the economic reading of the scoreboard. It should be emphasised that the scoreboard indicators are not mechanically interpreted. Countries are assessed by looking at the evolution of indicators over time as well as taking into account the most recent developments and outlook. The assessment takes into account a combination of additional relevant information. The table presents the different versions of the Statistical Annexes of the AMR. Each annex covers 10-year time series by Member State with the following cut-off dates:26th October 2015 for the 2016 AMR;1st November 2014 for the 2015 AMR;1st November 2013 for the 2014 AMR;1st November 2012 for the 2013 AMR;30th January 2012 for the 2012 AMR.
    • 11月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 12月, 2017
      データセットを選択
      Data in this domain constitute only a small part of the entire National Accounts data range available from Eurostat. Annual and quarterly national accounts are compiled in accordance with the European System of Accounts - ESA 2010as defined in Annex B of the Council Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013. The previous European System of Accounts, ESA95, was reviewed to bring national accounts in the European Union, in line with new economic environment, advances in methodological research and needs of users and the updated national accounts framework at the international level, the SNA 2008. The revisions are reflected in an updated Regulation of the European Parliament and of the Council on the European system of national and regional accounts in the European Union of 2010 (ESA 2010). The associated transmission programme is also updated and data transmissions in accordance with ESA 2010 are compulsory from September 2014 onwards. The annual data of this domain consists of the following collections: 1. Main GDP aggregates: main components from the output, expenditure and income side. nama_10_gdp: GDP and main components (output, expenditure and income   The quarterly data of this domain consists of the following collections 1. Main GDP aggregates, main components from the output, expenditure and income side, expenditure breakdowns by industry and assets. namq_10_ma: Main GDP aggregatesnamq_10_gdp: GDP and main components (output, expenditure and incomenamq_10_fcs: Final consumption aggregates by durabilitynamq_10_exi: Exports and imports by Member States of the EU/third countries 2. Breakdowns of GDP aggregates and employment data by main industries and asset classes. namq_10_bbr: Basic breakdowns main GDP aggregates and employment (by industry and assets)namq_10_a10: Gross value added and income by A*10 industrynamq_10_an6: Gross fixed capital formation by AN_F6 asset typenamq_10_a10_e: Employment by A*10 industry breakdowns Geographical entities covered are the European Union, the euro area, EU Member States, Candidate Countries, EFTA countries, US, Japan and possibly other countries on an ad-hoc basis. Data sources: National Statistical Institutes
    • 11月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 12月, 2017
      データセットを選択
      Data in this domain constitute only a small part of the entire National Accounts data range available from Eurostat. Annual and quarterly national accounts are compiled in accordance with the European System of Accounts - ESA 2010as defined in Annex B of the Council Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013. The previous European System of Accounts, ESA95, was reviewed to bring national accounts in the European Union, in line with new economic environment, advances in methodological research and needs of users and the updated national accounts framework at the international level, the SNA 2008. The revisions are reflected in an updated Regulation of the European Parliament and of the Council on the European system of national and regional accounts in the European Union of 2010 (ESA 2010). The associated transmission programme is also updated and data transmissions in accordance with ESA 2010 are compulsory from September 2014 onwards. The annual data of this domain consists of the following collections: 1. Main GDP aggregates: main components from the output, expenditure and income side.nama_10_gdp: GDP and main components (output, expenditure and income   The quarterly data of this domain consists of the following collections 1. Main GDP aggregates, main components from the output, expenditure and income side, expenditure breakdowns by industry and assets. namq_10_ma: Main GDP aggregatesnamq_10_gdp: GDP and main components (output, expenditure and incomenamq_10_fcs: Final consumption aggregates by durabilitynamq_10_exi: Exports and imports by Member States of the EU/third countries 2. Breakdowns of GDP aggregates and employment data by main industries and asset classes. namq_10_bbr: Basic breakdowns main GDP aggregates and employment (by industry and assets)namq_10_a10: Gross value added and income by A*10 industrynamq_10_an6: Gross fixed capital formation by AN_F6 asset typenamq_10_a10_e: Employment by A*10 industry breakdowns Geographical entities covered are the European Union, the euro area, EU Member States, Candidate Countries, EFTA countries, US, Japan and possibly other countries on an ad-hoc basis. Data sources: National Statistical Institutes
    • 11月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 12月, 2017
      データセットを選択
      Data in this domain constitute only a small part of the entire National Accounts data range available from Eurostat. Annual and quarterly national accounts are compiled in accordance with the European System of Accounts - ESA 2010as defined in Annex B of the Council Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013. The previous European System of Accounts, ESA95, was reviewed to bring national accounts in the European Union, in line with new economic environment, advances in methodological research and needs of users and the updated national accounts framework at the international level, the SNA 2008. The revisions are reflected in an updated Regulation of the European Parliament and of the Council on the European system of national and regional accounts in the European Union of 2010 (ESA 2010). The associated transmission programme is also updated and data transmissions in accordance with ESA 2010 are compulsory from September 2014 onwards. The annual data of this domain consists of the following collections: 1. Main GDP aggregates: main components from the output, expenditure and income side.nama_10_gdp: GDP and main components (output, expenditure and income   The quarterly data of this domain consists of the following collections 1. Main GDP aggregates, main components from the output, expenditure and income side, expenditure breakdowns by industry and assets. namq_10_ma: Main GDP aggregatesnamq_10_gdp: GDP and main components (output, expenditure and incomenamq_10_fcs: Final consumption aggregates by durabilitynamq_10_exi: Exports and imports by Member States of the EU/third countries 2. Breakdowns of GDP aggregates and employment data by main industries and asset classes. namq_10_bbr: Basic breakdowns main GDP aggregates and employment (by industry and assets)namq_10_a10: Gross value added and income by A*10 industrynamq_10_an6: Gross fixed capital formation by AN_F6 asset typenamq_10_a10_e: Employment by A*10 industry breakdowns Geographical entities covered are the European Union, the euro area, EU Member States, Candidate Countries, EFTA countries, US, Japan and possibly other countries on an ad-hoc basis. Data sources: National Statistical Institutes
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The Balance of Payments (BOP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of an economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, primary and secondary income), as well as on transactions which fall in the capital and the financial account. International investment position presents value of financial assets owned outside the economy and indebtedness of the economy to the rest of the world. BOP is an important macro-economic indicator used to assess the position of an economy (of credit or debit for current and capital acount, net acquisition of financial assets or net incurrence of liabilities for BOP financial account and international investment position) towards the external world. Out of BOP data, some indicators on international position of the EU and Member States are derived. Indicators on Main Balance of Payments and International Investment Position items as share of GDP are presented as percentage of GDP for given year or quarter and moving average for 3 consecutive years for: Balance, credit and debit flows of current and capital accounts and of main current account  items: goods, services, primary and secondary income,Net flows, net acquisition of financial assets and net incurrence of liabilities for total financial account and foreign direct investment,International investment position and net external debt at the end of reference quarter or year. Indicators on export market shares present shares of each EU Member State in total world exports of goods and services for given year, and 1-year and 5-year percentage changes of these shares, as well as shares in OECD exports and 5-year percentage changes of these shares.
    • 1月 2024
      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: 31 1月, 2024
      データセットを選択
      Main Economic Indicators (MEI) provides a wide range of indicators on recent economic developments in the 35 OECD member countries and 15 non-member countries. The indicators published in MEI have been prepared by national statistical agencies primarily to meet the requirements of users within their own country. In most instances, the indicators are compiled in accordance with international statistical guidelines and recommendations. However, national practices may depart from these guidelines, and these departures may impact on comparability between countries.
    • 3月 2009
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 30 3月, 2023
      データセットを選択
      The “Business services statistics” (BS) collection contains harmonised statistics on business services. BS is a driver of the knowledge-based economy and their labour-intensive nature has attracted interest in their potential as providers of new jobs in the future. Contributing to the recent increase in the demand for business services, the growing trend in outsourcing has seen many enterprises use service providers for non-core professional activities. Technological progress and the Internet are also important factors which have provided new production possibilities and new modes of supply. Due to its growing importance, BS data are collected since 2000 reference year. The data were collected under Gentlemen agreement until 2007 reference year and from 2008 onwards it become part of the regular mandatory annual data collection of SBS. The BS’s data requirements before 2008 reference year included more variables, but data is available only for a small number of countries. The following variables are available until 2007 reference year: Number of enterprisesTurnover or gross premiums writtenValue added at factor costPersonnel costsNumber of persons employedNumber of employeesNumber of part-time employees The “Turnover or gross premiums written” variable is broken down by product and residence of client. In addition, there is information on the turnover shares of product and client specialised enterprises. The statistics on “Turnover by product” permits analyses on each product's relative importance in the turnover, consistency of product level statistics and product specialisation. On the other hand, information on “Turnover by client” enables analyses on type and location of client and client specialisation. The economic variables make it possible to extend the analysis to productivity and personnel cost issues. From 2008 onwards, the BS’s data requirements are only for variable “Turnover” broken down by products and by type of residence of client. The majority of the data is collected annually by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources.
    • 6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
      The “Business services statistics” (BS) collection contains harmonised statistics on business services. BS is a driver of the knowledge-based economy and their labour-intensive nature has attracted interest in their potential as providers of new jobs in the future. Contributing to the recent increase in the demand for business services, the growing trend in outsourcing has seen many enterprises use service providers for non-core professional activities. Technological progress and the Internet are also important factors which have provided new production possibilities and new modes of supply. Due to its growing importance, BS data are collected since 2000 reference year. The data were collected under Gentlemen agreement until 2007 reference year and from 2008 onwards it become part of the regular mandatory annual data collection of SBS. The BS’s data requirements before 2008 reference year included more variables, but data is available only for a small number of countries. The following variables are available until 2007 reference year: Number of enterprisesTurnover or gross premiums writtenValue added at factor costPersonnel costsNumber of persons employedNumber of employeesNumber of part-time employees The “Turnover or gross premiums written” variable is broken down by product and residence of client. In addition, there is information on the turnover shares of product and client specialised enterprises. The statistics on “Turnover by product” permits analyses on each product's relative importance in the turnover, consistency of product level statistics and product specialisation. On the other hand, information on “Turnover by client” enables analyses on type and location of client and client specialisation. The economic variables make it possible to extend the analysis to productivity and personnel cost issues. From 2008 onwards, the BS’s data requirements are only for variable “Turnover” broken down by products and by type of residence of client. The majority of the data is collected annually by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources.
    • 1月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 26 1月, 2024
      データセットを選択
    • 7月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 26 7月, 2023
      データセットを選択
    • 11月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 01 12月, 2017
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a geographical region during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services, a component of BoP current account, and data on Foreign Direct Investment, a component of BoP financial account, are used to monitor the external commercial performance of different economies. Outward Foreign Affiliates Statistics (FATS) measure the commercial presence, as defined by the General Agreement on Trade in Services (GATS), through affiliates in foreign markets. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports.  Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU or in millions of national currency. Balance of Payments data coverage varies according to the collection. Some collections refer only to Euro area or EU countries, while some others' coverage includes also EU partner countries.   Several statistical adjustments are applied to the original data provided by the Member States. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.    More information on BoP is available for each specific collection: Quarterly BoP, ITS, FDI, Outward FATS, BoP of EU Institutions.
    • 7月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2016
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a geographical region during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services, a component of BoP current account, and data on Foreign Direct Investment, a component of BoP financial account, are used to monitor the external commercial performance of different economies. Outward Foreign Affiliates Statistics (FATS) measure the commercial presence, as defined by the General Agreement on Trade in Services (GATS), through affiliates in foreign markets. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports.  Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU or in millions of national currency. Balance of Payments data coverage varies according to the collection. Some collections refer only to Euro area or EU countries, while some others' coverage includes also EU partner countries.   Several statistical adjustments are applied to the original data provided by the Member States. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.    More information on BoP is available for each specific collection: Quarterly BoP, ITS, FDI, Outward FATS, BoP of EU Institutions.
    • 6月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 20 6月, 2023
      データセットを選択
      Data are the result of the annual structure of government debt survey and cover the EU countries as well as Norway. The following series are available: Central government gross debt by initital maturity and sector of debt holder; State government gross debt by initital maturity and sector of debt holder; Local government gross debt by initital maturity and sector of debt holder; Social security funds gross debt by initital maturity and sector of debt holder; General government gross debt by initital maturity and sector of debt holder; Debt by currency of issuance; Government guarantees (contingent liabilities); Average remaining maturity of debt; Apparent cost of the debt; Market value of debt.
    • 10月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 28 10月, 2023
      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.
    • 9月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 27 9月, 2023
      データセットを選択
      Economy-wide material flow accounts (EW-MFA) provide an aggregate overview, in thousand tonnes per year, of the material flows into and out of an economy. EW-MFA cover solid, gaseous, and liquid materials, except for bulk flows of water and air. Like the system of national accounts, EW-MFA constitute a multi-purpose information system. The detailed material flows provide a rich empirical database for numerous analytical purposes. Further, EW-MFA are used to derive various material flow indicators.   This metadata refers to the following five datasets based on the EW-MFA data collection: Material flow accounts (env_ac_mfa): this dataset provides detailed material input flows, in thousand tonnes per year, into (domestic extraction and physical imports) and out (physical exports) of an economy according toRegulation (EU) 691/2011.   Material flow accounts - domestic processed output (env_ac_mfadpo): this dataset provides detailed material flows, termed 'domestic processed output', from an economy to the environment in thousand tonnes per year.   Material flow accounts - balancing items (env_ac_mfabi): this dataset provides balancing items which are required to articulate a consistent material input-output balance of a national economy (in thousand tonnes per year).   Material flow accounts - main indicators (env_ac_mfain): this dataset provides highly aggregated EW-MFA and derived indicators: - domestic extraction (DE): DE indicates the total amount of material extracted by resident units from the natural environment for further processing in the economy; - imports (IMP), total and extra-EU: imports of products in their simple mass weight; - exports (EXP), total and extra-EU: exports of products in their simple mass weight; - physical trade balance (PTB): physical imports minus physical exports; - direct material input (DMI): DMI indicates the direct input of material into the economy. DMI includes all materials which are of economic value and which are availble for use in production and consumption activities and it is calculated as the sum of domestic extraction plus physical imports: DMI = DE + IMP; - domestic material consumption (DMC): DMC indicates the total amount of material actually consumed domestically by resident units. DMC of a given country's national economy can be calculated as direct material input minus physical exports: DMC = DMI – EXP; - domestic processed output (DPO): DPO indicates the amounts of solid, liquid and gaseous materials (excluding water and respiratory carbon dioxide) supplied by the national economy and taken up by the natural environment, particularly by the atmosphere; - balancing items (BI): balancing items enable the balancing of material input and output related to a national economy. Two groupings of balancing items are distinguishable: BI to be added to material input, such as oxygen for combustion processes and respiration, and nitrogen; BI to be added to material output, such as water vapour from combustion and gases from respiration. 'Total BI' designates the difference between 'BI: input side' and 'BI: output side', i.e 'BI (input -output)'; - net additions to stock (NAS): NAS is a measure for the ‘physical growth of the economy’. Materials in form of buildings, infrastructures, durable goods such as e.g. cars, industry machinery, or household appliances are added to the economy’s material stock each year (gross additions), and old materials are removed from stock as buildings are demolished, and durable goods disposed of (removals). NAS is approximated using the following equation: NAS = DMC - DPO + BI (input-output).   Resource productivity (env_ac_rp): this dataset provides ratios of gross domestic product (GDP) over domestic material consumption (DMC) in various unit of measure (see also item 4 of metadata). The term 'resource productivity' designates an indicator that reflects the GDP generated per unit of resources used by the economy. This is typically a macro-economic concept that can be presented alongside labour or capital productivity.    
    • 9月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 27 9月, 2023
      データセットを選択
      Economy-wide material flow accounts (EW-MFA) provide an aggregate overview, in thousand tonnes per year, of the material flows into and out of an economy. EW-MFA cover solid, gaseous, and liquid materials, except for bulk flows of water and air. Like the system of national accounts, EW-MFA constitute a multi-purpose information system. The detailed material flows provide a rich empirical database for numerous analytical purposes. Further, EW-MFA are used to derive various material flow indicators.   This metadata refers to the following five datasets based on the EW-MFA data collection: Material flow accounts (env_ac_mfa): this dataset provides detailed material input flows, in thousand tonnes per year, into (domestic extraction and physical imports) and out (physical exports) of an economy according toRegulation (EU) 691/2011.   Material flow accounts - domestic processed output (env_ac_mfadpo): this dataset provides detailed material flows, termed 'domestic processed output', from an economy to the environment in thousand tonnes per year.   Material flow accounts - balancing items (env_ac_mfabi): this dataset provides balancing items which are required to articulate a consistent material input-output balance of a national economy (in thousand tonnes per year).   Material flow accounts - main indicators (env_ac_mfain): this dataset provides highly aggregated EW-MFA and derived indicators: - domestic extraction (DE): DE indicates the total amount of material extracted by resident units from the natural environment for further processing in the economy; - imports (IMP), total and extra-EU: imports of products in their simple mass weight; - exports (EXP), total and extra-EU: exports of products in their simple mass weight; - physical trade balance (PTB): physical imports minus physical exports; - direct material input (DMI): DMI indicates the direct input of material into the economy. DMI includes all materials which are of economic value and which are availble for use in production and consumption activities and it is calculated as the sum of domestic extraction plus physical imports: DMI = DE + IMP; - domestic material consumption (DMC): DMC indicates the total amount of material actually consumed domestically by resident units. DMC of a given country's national economy can be calculated as direct material input minus physical exports: DMC = DMI – EXP; - domestic processed output (DPO): DPO indicates the amounts of solid, liquid and gaseous materials (excluding water and respiratory carbon dioxide) supplied by the national economy and taken up by the natural environment, particularly by the atmosphere; - balancing items (BI): balancing items enable the balancing of material input and output related to a national economy. Two groupings of balancing items are distinguishable: BI to be added to material input, such as oxygen for combustion processes and respiration, and nitrogen; BI to be added to material output, such as water vapour from combustion and gases from respiration. 'Total BI' designates the difference between 'BI: input side' and 'BI: output side', i.e 'BI (input -output)'; - net additions to stock (NAS): NAS is a measure for the ‘physical growth of the economy’. Materials in form of buildings, infrastructures, durable goods such as e.g. cars, industry machinery, or household appliances are added to the economy’s material stock each year (gross additions), and old materials are removed from stock as buildings are demolished, and durable goods disposed of (removals). NAS is approximated using the following equation: NAS = DMC - DPO + BI (input-output).   Resource productivity (env_ac_rp): this dataset provides ratios of gross domestic product (GDP) over domestic material consumption (DMC) in various unit of measure (see also item 4 of metadata). The term 'resource productivity' designates an indicator that reflects the GDP generated per unit of resources used by the economy. This is typically a macro-economic concept that can be presented alongside labour or capital productivity.    
    • 9月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 27 9月, 2023
      データセットを選択
      Economy-wide material flow accounts (EW-MFA) provide an aggregate overview, in thousand tonnes per year, of the material flows into and out of an economy. EW-MFA cover solid, gaseous, and liquid materials, except for bulk flows of water and air. Like the system of national accounts, EW-MFA constitute a multi-purpose information system. The detailed material flows provide a rich empirical database for numerous analytical purposes. Further, EW-MFA are used to derive various material flow indicators.   This metadata refers to the following five datasets based on the EW-MFA data collection:Material flow accounts (env_ac_mfa): this dataset provides detailed material input flows, in thousand tonnes per year, into (domestic extraction and physical imports) and out (physical exports) of an economy according toRegulation (EU) 691/2011.  Material flow accounts - domestic processed output (env_ac_mfadpo): this dataset provides detailed material flows, termed 'domestic processed output', from an economy to the environment in thousand tonnes per year.  Material flow accounts - balancing items (env_ac_mfabi): this dataset provides balancing items which are required to articulate a consistent material input-output balance of a national economy (in thousand tonnes per year).  Material flow accounts - main indicators (env_ac_mfain): this dataset provides highly aggregated EW-MFA and derived indicators: - domestic extraction (DE): DE indicates the total amount of material extracted by resident units from the natural environment for further processing in the economy; - imports (IMP), total and extra-EU: imports of products in their simple mass weight; - exports (EXP), total and extra-EU: exports of products in their simple mass weight; - physical trade balance (PTB): physical imports minus physical exports; - direct material input (DMI): DMI indicates the direct input of material into the economy. DMI includes all materials which are of economic value and which are availble for use in production and consumption activities and it is calculated as the sum of domestic extraction plus physical imports: DMI = DE + IMP; - domestic material consumption (DMC): DMC indicates the total amount of material actually consumed domestically by resident units. DMC of a given country's national economy can be calculated as direct material input minus physical exports: DMC = DMI – EXP; - domestic processed output (DPO): DPO indicates the amounts of solid, liquid and gaseous materials (excluding water and respiratory carbon dioxide) supplied by the national economy and taken up by the natural environment, particularly by the atmosphere; - balancing items (BI): balancing items enable the balancing of material input and output related to a national economy. Two groupings of balancing items are distinguishable: BI to be added to material input, such as oxygen for combustion processes and respiration, and nitrogen; BI to be added to material output, such as water vapour from combustion and gases from respiration. 'Total BI' designates the difference between 'BI: input side' and 'BI: output side', i.e 'BI (input -output)'; - net additions to stock (NAS): NAS is a measure for the ‘physical growth of the economy’. Materials in form of buildings, infrastructures, durable goods such as e.g. cars, industry machinery, or household appliances are added to the economy’s material stock each year (gross additions), and old materials are removed from stock as buildings are demolished, and durable goods disposed of (removals). NAS is approximated using the following equation: NAS = DMC - DPO + BI (input-output).  Resource productivity (env_ac_rp): this dataset provides ratios of gross domestic product (GDP) over domestic material consumption (DMC) in various unit of measure (see also item 4 of metadata). The term 'resource productivity' designates an indicator that reflects the GDP generated per unit of resources used by the economy. This is typically a macro-economic concept that can be presented alongside labour or capital productivity.
    • 2月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 08 2月, 2024
      データセットを選択
      The datasets:Material flow accounts in raw material equivalents - modelling estimates (env_ac_rme)Material flow accounts in raw material equivalents by final uses of products - modelling estimates (env_ac_rmefd) provide model-based estimates, for the aggregate EU economy only, of material flow accounts in raw material equivelents (MFA-RME) to complement the dataset ´Material flow accounts' (env_ac_mfa), also referred to as economy-wide material flow accounts (EW-MFA). Both EW-MFA and MFA-RME present the flows of natural resources (minerals, metal ores, biomass, fossil energy materials) from the environment into the economy. Both include domestic extraction of materials measured in tonnes of gross material (e.g. gross ore or gross harvest). However, in EW-MFA imports and exports are measured in mass weight of the products as they cross country borders. For the derived indicators this implies that they combine data with different underlying measurement concepts. The MFA-RME dataset offers a complementary view by replacing the material trade flows in mass weight by estimates of the raw material equivalents of the products traded, i.e. how much extraction, domestic and abroad, was needed to produce the traded products. And by extension, the indicator raw material consumption (RMC) shows the amount of extraction required to produce the products demanded by final users in the EU-28, irrespective of where in the world the extraction of material from the environment took place.  The MFA-RME dataset (env_ac_rme) includes:domestic material extraction by material, directly taken from the EW-MFA dataset (env_ac_mfa), see also Section 15.3 and 17.2 below,estimates of the imports and exports in raw material equivalents (RME) by materialderived indicators, namely raw material input (RMI) and raw material consumption (RMC), by material, see also Section 3.2 below.   The MFA-RME dataset by final uses of products (env_ac_rmefd) presents RMC in more detail by:materialfinal productsfinal uses (representing subcategories of RMC) The two MFA-RME datasets are compiled using the same model and are fully consistent.    For more information on the complete set of material flow accounts see also the dedicated website on material flows and resource productivity.
    • 1月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 2月, 2017
      データセットを選択
      The Structure of Earnigns Survey is a 4-yearly survey conducted by the National Statistical Institutes (NSI). The tables published present data on number of employees, mean hourly earnings and hourly overtime pay, mean monthly earnings and overtime & shift pay, mean annual earnings and total annual bonuses, mean monthly hours paid and mean annual holidays. Details of available indicators and tables can be found under Annexes Tables 2002 at the bottom of this page. Regional metadata is identical to metadata provided for the national data.
    • 1月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 2月, 2017
      データセットを選択
      The Structure of Earnigns Survey is a 4-yearly survey conducted by the National Statistical Institutes (NSI). The tables published present data on number of employees, mean hourly earnings and hourly overtime pay, mean monthly earnings and overtime & shift pay, mean annual earnings and total annual bonuses, mean monthly hours paid and mean annual holidays. Details of available indicators and tables can be found under Annexes Tables 2002 at the bottom of this page. Regional metadata is identical to metadata provided for the national data.
    • 1月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 2月, 2017
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2010 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data.
    • 1月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 2月, 2017
      データセットを選択
      The Structure of Earnigns Survey is a 4-yearly survey conducted by the National Statistical Institutes (NSI). The tables published present data on number of employees, mean hourly earnings and hourly overtime pay, mean monthly earnings and overtime & shift pay, mean annual earnings and total annual bonuses, mean monthly hours paid and mean annual holidays. Details of available indicators and tables can be found under Annexes Tables 2002 at the bottom of this page. Regional metadata is identical to metadata provided for the national data.
    • 1月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 2月, 2017
      データセットを選択
      The Structure of Earnigns Survey is a 4-yearly survey conducted by the National Statistical Institutes (NSI). The tables published present data on number of employees, mean hourly earnings and hourly overtime pay, mean monthly earnings and overtime & shift pay, mean annual earnings and total annual bonuses, mean monthly hours paid and mean annual holidays. Details of available indicators and tables can be found under Annexes Tables 2002 at the bottom of this page. Regional metadata is identical to metadata provided for the national data.
    • 1月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 2月, 2017
      データセットを選択
      The Structure of Earnigns Survey is a 4-yearly survey conducted by the National Statistical Institutes (NSI). The tables published present data on number of employees, mean hourly earnings and hourly overtime pay, mean monthly earnings and overtime & shift pay, mean annual earnings and total annual bonuses, mean monthly hours paid and mean annual holidays. Details of available indicators and tables can be found under Annexes Tables 2002 at the bottom of this page. Regional metadata is identical to metadata provided for the national data.
    • 1月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 2月, 2017
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2010 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data.
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 3月 2015
      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
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2010 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data.
    • 3月 2015
      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
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2010 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data.
    • 1月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 2月, 2017
      データセットを選択
      The Structure of Earnigns Survey is a 4-yearly survey conducted by the National Statistical Institutes (NSI). The tables published present data on number of employees, mean hourly earnings and hourly overtime pay, mean monthly earnings and overtime & shift pay, mean annual earnings and total annual bonuses, mean monthly hours paid and mean annual holidays. Details of available indicators and tables can be found under Annexes Tables 2002 at the bottom of this page. Regional metadata is identical to metadata provided for the national data.
    • 1月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 2月, 2017
      データセットを選択
      The Structure of Earnigns Survey is a 4-yearly survey conducted by the National Statistical Institutes (NSI). The tables published present data on number of employees, mean hourly earnings and hourly overtime pay, mean monthly earnings and overtime & shift pay, mean annual earnings and total annual bonuses, mean monthly hours paid and mean annual holidays. Details of available indicators and tables can be found under Annexes Tables 2002 at the bottom of this page. Regional metadata is identical to metadata provided for the national data.
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 12月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 12月, 2016
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2010 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data.
    • 1月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 2月, 2017
      データセットを選択
      The Structure of Earnigns Survey is a 4-yearly survey conducted by the National Statistical Institutes (NSI). The tables published present data on number of employees, mean hourly earnings and hourly overtime pay, mean monthly earnings and overtime & shift pay, mean annual earnings and total annual bonuses, mean monthly hours paid and mean annual holidays. Details of available indicators and tables can be found under Annexes Tables 2002 at the bottom of this page. Regional metadata is identical to metadata provided for the national data.
    • 12月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 12月, 2016
      データセットを選択
      The Structure of Earnigns Survey is a 4-yearly survey conducted by the National Statistical Institutes (NSI). The tables published present data on number of employees, mean hourly earnings and hourly overtime pay, mean monthly earnings and overtime & shift pay, mean annual earnings and total annual bonuses, mean monthly hours paid and mean annual holidays. Details of available indicators and tables can be found under Annexes Tables 2002 at the bottom of this page. Regional metadata is identical to metadata provided for the national data.
    • 1月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 2月, 2017
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2010 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data.
    • 1月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 2月, 2017
      データセットを選択
      The Structure of Earnigns Survey is a 4-yearly survey conducted by the National Statistical Institutes (NSI). The tables published present data on number of employees, mean hourly earnings and hourly overtime pay, mean monthly earnings and overtime & shift pay, mean annual earnings and total annual bonuses, mean monthly hours paid and mean annual holidays. Details of available indicators and tables can be found under Annexes Tables 2002 at the bottom of this page. Regional metadata is identical to metadata provided for the national data.
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 1月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 2月, 2017
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2010 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data.
    • 1月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 2月, 2017
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2010 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data.
    • 1月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 2月, 2017
      データセットを選択
      The Structure of Earnigns Survey is a 4-yearly survey conducted by the National Statistical Institutes (NSI). The tables published present data on number of employees, mean hourly earnings and hourly overtime pay, mean monthly earnings and overtime & shift pay, mean annual earnings and total annual bonuses, mean monthly hours paid and mean annual holidays. Details of available indicators and tables can be found under Annexes Tables 2002 at the bottom of this page. Regional metadata is identical to metadata provided for the national data.
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 1月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 2月, 2017
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2010 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data.
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
      The Structure of Earnings Survey (SES) provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is to provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on the relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Unlike the other Structure of Earnings Survey tables, this dataset presents the main indicators of the several vintages of SES (SES2002 / SES2006 / SES2010 / SES2014) merged into one table.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
      The Structure of Earnings Survey (SES) provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is to provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on the relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Unlike the other Structure of Earnings Survey tables, this dataset presents the main indicators of the several vintages of SES (SES2002 / SES2006 / SES2010 / SES2014) merged into one table.
    • 10月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2021
      データセットを選択
      The Structure of Earnings Survey (SES) provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is to provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on the relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Unlike the other Structure of Earnings Survey tables, this dataset presents the main indicators of the several vintages of SES (SES2002 / SES2006 / SES2010 / SES2014) merged into one table.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
      The Structure of Earnings Survey (SES) provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is to provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on the relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Unlike the other Structure of Earnings Survey tables, this dataset presents the main indicators of the several vintages of SES (SES2002 / SES2006 / SES2010 / SES2014) merged into one table. 
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
      The Structure of Earnings Survey (SES) provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is to provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on the relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Unlike the other Structure of Earnings Survey tables, this dataset presents the main indicators of the several vintages of SES (SES2002 / SES2006 / SES2010 / SES2014) merged into one table.
    • 3月 2024
      ソース: World Trade Organization
      アップロード者: Knoema
      以下でアクセス: 01 4月, 2024
      データセットを選択
      Merchandise Trade values & Merchandise trade - indices and prices
    • 7月 2012
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 25 7月, 2012
      データセットを選択
      Note:i) All the Data Present in this dataset are "Value at the end of the period, Not applicable". ii)Eurostat Hierarchy: General and regional statistics > European and national short term indicators (euroind) > Monetary and financial indicators (ei_mf).
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 2月 2024
      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: 02 2月, 2024
      データセットを選択
      The Financial Statistics dataset contains predominantly monthly statistics, and associated statistical methodological information, for the 36 OECD member countries and some selected other countries. The dataset itself contains financial statistics on 4 separate subjects: Monetary Aggregates, Interest Rates, Exchange Rates, and Share Prices. The data series presented within these subjects have been chosen as the most relevant financial statistics for which comparable data across countries is available. In all cases a lot of effort has been made to ensure that the data are internationally comparable across all countries presented and that all the subjects have good historical time-series’ data to aid with analysis. All data are available monthly, and are presented as either an index (where the year 2015 is the base year) or as a level depending on which measure is seen as the most appropriate and/or useful in the economic analysis context.
  • N
    • 1月 2024
      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: 22 1月, 2024
      データセットを選択
      This dataset presents information using an "indicator" approach, focusing on cross-country comparisons. The aim is to make the accounts more accessible and informative, whilst taking the opportunity to present the conceptual underpinning  and comparability issues of each of the indicators presented. The range of indicators is set deliberately wide to reflect the richness of the national accounts dataset and to encourage users of economic statistics to refocus some of the spotlight that is often placed on GDP to other important economic indicators, which may better respond to their needs. Indeed many users themselves have been instrumental in this regard. The report of the Commission on the Measurement of Economic Performance and Social Progress (Stiglitz-Sen-Fitoussi Commission) is but one notable example. That is not to undermine the importance of GDP, which arguably remains the most important measure of total economic activity, but other measures may better reflect other aspects of the economy. For example, net national income may be a more appropriate measure of income available to citizens in countries with large outflows of property income, and household adjusted disposable income per capita may be a better indicator of the material well-being of citizens. But certainly from a data perspective more can and remains to be done. The Stiglitz-Sen-Fitoussi Commission for example highlights the pressing need for the provision, by official statistics institutes, of more detailed information that better describes the distributional aspects of activity, especially income, and the need to build on the national accounts framework to address issues such as non-market services produced by households or leisure. It is hoped that by producing a publication such as this and thereby raising awareness, the momentum from this and other initiatives will be accelerated. The publication itself will pick up new indicators in the future as they become available at the OECD.
    • 12月 2023
      ソース: United Nations Statistics Division
      アップロード者: Knoema
      以下でアクセス: 22 1月, 2024
      データセットを選択
      The National Accounts Main Aggregates Database presents a series of analytical national accounts tables from 1970 onwards for more than 200 countries and areas of the world. It is the product of a global cooperation effort between the Economic Statistics Branch of the United Nations Statistics Division, international statistical agencies and the national statistical services of these countries and is developed in accordance with the recommendation of the Statistical Commission at its first session in 1947 that the Statistics Division should publish regularly the most recent available data on national accounts for as many countries and areas as possible. The database is updated in December of each year with newly available national accounts data for all countries and areas.
    • 1月 2024
      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: 20 1月, 2024
      データセットを選択
      It presents the three approaches of the GDP: expenditure based, output based and income based. It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire. This questionnaire is designed to collect internationally comparable data according to the 1993 SNA.
    • 7月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 04 7月, 2023
      データセットを選択
      Net debt-to-income ratio, after taxes, of non-financial corporations is defined as main financial liabilities divided by net entrepreneurial income (ESA 2010 code: B4N) less current taxes on income and wealth (D5PAY). Main financial liabilities include currency and deposits (AF2), debt securities (AF3) and loans (AF4). Detailed data and methodology on site http://ec.europa.eu/eurostat/sectoraccounts .
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The external debt (or the foreign debt), at any given time, is the outstanding amount of the actual current (and not contingent) liabilities that require payment(s) of principal and/or interest by the debtor at some point(s) in the future and that are owed to non-residents by residents of an economy. The external debt is the portion of a country's debt that was borrowed from creditors outside the country, including commercial banks, other governments or international financial institutions (such as the International Monetary Fund (IMF) and the World Bank). The assets/liabilities include debt securities, such as bonds, notes and money market instruments, as well as loans, deposits, currency, trade credits and advances due to non-residents. The loans must usually be paid in the currency in which they was made. In order to earn the needed currency, the borowing country may sell and export goods to the lender's country. The data are expressed in % of GDP.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The external debt (or the foreign debt), at any given time, is the outstanding amount of the actual current (and not contingent) liabilities that require payment(s) of principal and/or interest by the debtor at some point(s) in the future and that are owed to non-residents by residents of an economy. The external debt is the portion of a country's debt that was borrowed from creditors outside the country, including commercial banks, other governments or international financial institutions (such as the International Monetary Fund (IMF) and the World Bank.). The assets/liabilities include debt securities, such as bonds, notes and money market instruments, as well as loans, deposits, currency, trade credits and advances due to non-residents. The loans must usually be paid in the currency in which they was made. In order to earn the needed currency, the borowing country may sell and export goods to the lender's country. The data are expressed in % of GDP.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The international investment position (IIP) is a statistical statement that shows at a point in time the value and composition of: -financial assets of residents of an economy that are claims on non-residents and gold bullion held as reserve assets, and -liabilities of residents of an economy to non-residents. The difference between an economy’s external financial assets and liabilities is the economy’s net IIP, which may be positive or negative. Respectively the net international investment position (NIIP) provides an aggregate view of the net financial position (assets minus liabilities) of a country vis-à-vis the rest of the world. It allows for a stock-flow analysis of external position of the country. The MIP scoreboard indicator is the net international investment position expressed in percent of GDP. The indicator is based on the Eurostat data from the Balance of payment statistics. These data are quaterly reported by the EU Member States. Definitions are based on the Sixth Edition of the IMF's Balance of Payments and International Investment Position Manual (BPM6). The indicative threshold is -35%. The MIP scoreboard indicator is calculated as: [NIIPt/GDPt]*100.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The international investment position (IIP) is a statistical statement that shows at a point in time the value and composition of: -financial assets of residents of an economy that are claims on non-residents and gold bullion held as reserve assets, and -liabilities of residents of an economy to non-residents. The difference between an economy’s external financial assets and liabilities is the economy’s net IIP, which may be positive or negative. Respectively the net international investment position (NIIP) provides an aggregate view of the net financial position (assets minus liabilities) of a country vis-à-vis the rest of the world. It allows for a stock-flow analysis of external position of the country. The indicator is expressed in percent of GDP. The indicator is based on the Eurostat data from the Balance of payment statistics, i.e. the same data source used for the current account balance. Definitions are based on the IMF Sixth Balance of Payments Manual (BPM6).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The aggregate of net lending/net borrowing of the domestic sectors in the ESA is conceptually the same as the value of net lending/net borrowing in the international accounts. This is because all the resident-to-resident flows cancel out. It is also equal to the opposite of net lending/net borrowing of the rest of the world sector in the ESA. The net lending (+) or borrowing (–) of the total economy is the sum of the net lending or borrowing of the institutional sectors. It represents the net resources that the total economy makes available to the rest of the world (if it is positive) or receives from the rest of the world (if it is negative). The net lending (+) or borrowing (–) of the total economy is equal but of opposite sign to the net borrowing (–) or lending (+) of the rest of the world. The indicator is based on the national accounts data reported to Eurostat by the EU Member States.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Net lending/borrowing of a country corresponds to the sum of total current and capital accounts’ balances in balance of payments. It represents the net resources that the total economy makes available to the rest of the world (if it is positive) or receives from the rest of the world (if it is negative). In another words when the variable is positive (meaning that it shows a financing capacity), it should be called net lending (+); when it is negative (meaning that it shows a borrowing need), it should be called net borrowing (–). The net lending (+) or borrowing (–) of the total economy is equal but of opposite sign to the net borrowing (–) or lending (+) of the rest of the world. The MIP scoreboard indicator is expressed in percentage of GDP and in million of national currency, and calculated as: (CAB+CAK)*100/GDP . The indicator is based on the Balance of Payments data reported to Eurostat by the EU Member States. Definitions are based on the IMF's Sixth Balance of Payments Manual (BPM6).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Net lending/borrowing of a country corresponds to the sum of total current and capital accounts’ balances in the Balance of Payments. It represents the net resources that the total economy makes available to the rest of the world (if it is positive) or receives from the rest of the world (if it is negative). In another words when the variable is positive (meaning that it shows a financing capacity), it should be called net lending (+); when it is negative (meaning that it shows a borrowing need), it should be called net borrowing (–). The net lending (+) or borrowing (–) of the total economy is equal but of opposite sign to the net borrowing (–) or lending (+) of the rest of the world. The MIP scoreboard indicator is expressed in percentage of GDP and in million of national currency, and calculated as: (CAB+CAK)%GDP=(CAB+CAK)*100/GDP . The indicator is based on the Balance of Payments data reported to Eurostat by the EU Member States. Starting from October 2014 definitions are based on the IMF's Sixth Balance of Payments Manual (BPM6).
    • 4月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2018
      データセットを選択
      Gross national income (at market prices) represents total primary income receivable by resident institutional units in return for some engagement in productive activity: compensation of employees, taxes on production and imports less subsidies, property income (receivable less payable), gross operating surplus and gross mixed income. It corresponds to the better known GDP minus primary income payable by resident units to non-resident units, plus primary income receivable by resident units from the rest of the world. Net national income equals gross national income after deduction of the consumption of fixed capital. The indicator is derived from annual non-financial sector account data. For more information see nasa_esms.
    • 7月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 04 7月, 2023
      データセットを選択
      Net return on equity, after taxes, of non-financial corporations is defined as net entrepreneurial income (ESA 2010 code: B4N) less current taxes on income and wealth (D5PAY) divided by equity and investment fund shares/units (AF5), liabilities. Detailed data and methodology on site http://ec.europa.eu/eurostat/sectoraccounts .
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      This aggregate measures the portion of national disposable income that is not used for final consumption expenditure. Net national saving is the sum of the net savings of the various institutional sectors, according to the ESA 2010 definition.
    • 2月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 2月, 2023
      データセットを選択
      Net social contributions (ESA 2010 code D.61) are the actual or imputed contributions made by households to social insurance schemes to make provision for social benefits to be paid.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The trade balance of energy products is calculated, for each Member State, as the difference between exports to and imports from the rest of the world (intra-EU and extra-EU trade) of goods included in the SITC section 3 - Mineral fuels, lubricants and related materials.The MIP indicator is expressed as percentage of GDP (according to ESA 2010 transmission programme).
    • 7月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 06 7月, 2023
      データセットを選択
      This derived indicator compares remuneration (compensation per employee in current prices) and productivity (gross domestic product (GDP) in volumes per employment) to show how the remuneration of employees is related to the productivity of their labour. It is the relationship between how much each "worker" is paid and the value he/she produces by their work. Its growth rate is intended to give an impression of the dynamics of the participation of the production factor labour in output value created. Please note that the variables used in the numerator (compensation, employees) refer to employed labour only, while those in the denominator (GDP, employment) refer to all labour, including self-employed.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2024
      データセットを選択
      The non-financial Quarterly Sector Accounts (QSA) are compiled in accordance with the European System of Accounts (ESA 2010) and are transmitted by the EU Member States and EEA Members (Norway, Iceland) following ESA2010 transmission programme (Table 801) 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). The QSA encompass non-financial accounts that provide a description of the different stages of the economic process: production, generation of income, distribution of income, redistribution of income, use of income and non-financial accumulation. The ASA record the economic flows of institutional sectors in order to illustrate their economic behaviour and interactions between them. They also provide a list of balancing items that have high analytical value in their own right: value added, operating surplus and mixed income, balance of primary incomes, disposable income, saving, net lending / net borrowing. All of them but net lending / net borrowing, can be expressed in gross or net terms, i.e. with and without consumption of fixed capital that accounts for the use and obsolescence of fixed assets. In terms of institutional sectors, a broad distinction is made between the domestic economy (ESA 2010 classification code S.1) and the rest of the world (S.2). Within S.1 and S.2, in turn, more detailed subsectors are distinguished as explained in more detail in section "3.2 Classification system". Data are presented in the table "Non-financial transactions" (nasq_10_nf_tr). The table contains data, as far as they are available, expressed in national currency and millions of euro in current prices. In line with ESA2010 Transmission programme requirements data series start from 1999 Q1 (unless subject to voluntary transmission option and/or country specific derogations). Available level of detail by sectors and transactions may also vary by country due to voluntary transmission of some items (as defined in ESA2010 transmission programme) and country specific derogations. QSA collected according ESA2010 Transmission programme include selected data on employment (in persons and hours worked) and seasonally adjusted variables by institutional sectors. However, as transmission of these variables is voluntary (except for the selected seasonally adjusted variables of Total economy and the Rest of the world), data availability may vary significantly across countries. A set of key indicators, deemed meaningful for economic analysis, is available in the table "Key indicators" (nasq_10_ki) for most of the members of the European Economic Area (EEA), of the Euro area and EU. Key ratios are derived from non-financial transactions as follows:Gross household saving rate (S.14_S.15): B8G/(B6G+D8rec-D8pay)*100Gross investment rate of households (S.14_S.15): P51G/(B6G+D8rec-D8pay)*100Gross investment rate of non-financial corporations (S.11): P51G/B1G*100Gross profit share of non-financial corporations (S.11): B2G_B3G/B1G*100 With the following transaction codes:B6G - Gross disposable incomeB8G -  Gross savingD8rec / D8pay - the adjustment for the change in pension entitlements (receivable / payable)P51G - Gross fixed capital formationB1G - Gross value addedB2G_B3G - Gross operating surplus/ mixed income. The following key indicators are calculated in real terms for European aggregates only: Gross disposable income of households in real terms (B6G, percentage change on previous period, S.14_S.15)Real growth of household adjusted disposable income per capita (percentage change on previous period, S.14_S.15): B7G/(POP_NC*Price Deflator)Real growth of household actual consumption per capita (percentage change on previous period, S.14_S.15): P4/(POP_NC*Price Deflator) With the following codes (the codes already described above have not been listed): B7G - Gross adjusted gross disposable income (adjusted for social transfers in kind)P4 - Actual final consumption (adjusted for social transfers in kind)POP_NC - Total population national concept (source:Quarterly national accounts, Eurobase domain namq_10_pe)Price deflator - Price index/implicit deflator calculated as CP_MEUR/CLV05_MEUR – both indicators refer to households and NPISH final consumption expenditure (P31_S14_S15) (source: Quarterly national accounts, Eurobase domain namq_10_gdp) In the above, all ratios are expressed in gross terms, i.e. before deduction of consumption of fixed capital. The following key indicators combine non-financial with financial accounts:Household net financial assets ratio (BF90/(B6G+D8net)) With the following codes (the codes already described above have not been listed):BF90 – Financial net worth "rec" means resources, that is transactions that add to the economic value of a given sector. "pay" means "uses", that is transactions that reduce the economic value of a given sector. "liab" refers to the stock of liabilities incurred by a given sector and recorded in the financial balance sheets. See also the sector accounts dedicated website for more information.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The non-financial Annual Sector Accounts (ASA) are compiled in accordance with the European System of Accounts (ESA 2010) and are transmitted by the EU Member States, EEA Members (Norway, Iceland) and Switzerland following ESA2010 transmission programme (Table 8) 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). The ASA encompass non-financial accounts that provide a description of the different stages of the economic process: production, generation of income, distribution of income, redistribution of income, use of income and non-financial accumulation. The ASA record the economic flows of institutional sectors in order to illustrate their economic behaviour and interactions between them. They also provide a list of balancing items that have high analytical value in their own right: value added, operating surplus and mixed income, balance of primary incomes, disposable income, saving, net lending / net borrowing. All of them but net lending / net borrowing, can be expressed in gross or net terms, i.e. with and without consumption of fixed capital that accounts for the use and obsolescence of fixed assets. In terms of institutional sectors, a broad distinction is made between the domestic economy (ESA 2010 classification code S.1) and the rest of the world (S.2). Within S.1 and S.2, in turn, more detailed subsectors are distinguished as explained in more detail in section "3.2 Classification system". Data are presented in the table "Non-financial transactions" (nasa_10_nf_tr). The table contains data, as far as they are available, expressed in national currency and millions of euro in current prices. In line with ESA2010 Transmission programme requirements data series start from 1995 (unless subject to voluntary transmission option and/or country specific derogations). Countries may transmit longer series on voluntary basis. Available level of detail by sectors and transactions may also vary by country due to voluntary transmission of some items (as defined in ESA2010 transmission programme) and country specific derogations. ASA collected according ESA2010 Transmission programme include selected data on employment (in persons and hours worked) by institutional sectors. However, as transmission of these variables is voluntary (except for the sector of General government), data availability may vary significantly across countries. A set of key indicators, deemed meaningful for economic analysis, is available in the table "Key indicators" (nasa_10_ki) for most of the members of the European Economic Area (EEA), of the Euro area and EU. Key ratios are derived from non-financial transactions as follows: Gross household saving rate (S.14_S.15): B8G/(B6G+D8rec-D8pay)*100Gross investment rate of households (S.14_S.15): P51G/(B6G+D8rec-D8pay)*100Gross investment rate of non-financial corporations (S.11): P51G/B1G*100Gross profit share of non-financial corporations (S.11): B2G_B3G/B1G*100Total investment to GDP ratio (S.1): P51G/B1GQ*100Business investment to GDP ratio: (S.11_P51G+S.12_P51G)/B1GQ*100Government investment to GDP ratio: S.13_P51G/B1GQ*100Households investment to GDP ratio: (S.14_S.15_P51G)/B1GQ*100 With the following transaction codes: B8G -  Gross savingB6G - Gross disposable incomeD8rec / D8pay - the adjustment for the change in pension entitlements (receivable / payable)P51G - Gross fixed capital formationB1G - Gross value addedB1GQ – Gross domestic productB2G_B3G - Gross operating surplus/ mixed income. In the above, all ratios are expressed in gross terms, i.e. before deduction of consumption of fixed capital. The following key indicators are calculated in real or nominal terms: Real growth of household adjusted disposable income per capita (percentage change on previous period, S.14_S.15): B7G/(POP_NC*Price Deflator)Nominal growth of household adjusted disposable income per capita (percentage change on previous period, S.14_S.15): B7G/(POP_NC)Real growth of household actual consumption per capita (percentage change on previous period, S.14_S.15): P4/(POP_NC*Price Deflator) With the following codes (the codes already described above have not been listed): B7G - Gross adjusted gross disposable income (adjusted for social transfers in kind)P4 - Actual final consumption (adjusted for social transfers in kind)POP_NC - Total population national concept (source:Quarterly national accounts, Eurobase domain namq_10_pe)Price deflator - Price index/implicit deflator calculated as CP_MEUR/CLV10_MEUR – both indicators refer to households and NPISH final consumption expenditure (P31_S14_S15) (source: Quarterly national accounts, Eurobase domain namq_10_gdp) The following key indicators combine non-financial with financial accounts: Gross return on capital employed, before taxes, of non-financial corporations (S.11): [B2G_B3G/(AF2+AF3+AF4+AF5, liab)]*100Net debt-to-income ratio, after taxes, of non-financial corporations (S.11): ([(AF2+AF3+AF4, liab)/(B4N-D5pay)]*100)Net return on equity, after taxes, of non-financial corporations (S.11): [(B4N-D5pay)/(AF5, liab)]*100Gross debt-to-income ratio of households (S.14_15): [(AF4, liab)/(B6G+D8net)]*100Household net financial assets ratio (BF90/(B6G+D8net)) With the following codes (the codes already described above have not been listed): B4N - Net entrepreneurial incomeD5pay - Current taxes on income and wealthAF2 - Currency and depositsAF3 - Debt securities (excluding financial derivatives)AF4 - LoansAF5 - Equity and investment fund sharesBF90 – Financial net worth "rec" means resources, that is transactions that add to the economic value of a given sector. "pay" means "uses", that is transactions that reduce the economic value of a given sector. "liab" refers to the stock of liabilities incurred by a given sector and recorded in the financial balance sheets. See also the sector accounts dedicated website for more information.
    • 11月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 11月, 2023
      データセットを選択
    • 8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
      The Quarterly Sector Accounts (QSA) are compiled in accordance with the European System of Accounts - ESA 1995 (Council Regulation 2223/96). The transmission of the QSA data by the Member States follows the Regulation (EC) N° 1161/2005 of the European Parliament and of the Council (QSA regulation). The QSA encompass the non-financial accounts and provide a description of the different stages of the economic process: production, generation of income, distribution of income, redistribution of income, use of income and non-financial accumulation. The compilation of QSA is the outcome of a close collaboration by Eurostat and the ECB, in cooperation with the national statistical institutes and national central banks. The ECB and Eurostat are publishing integrated non-financial and financial accounts, including financial balance sheets, for the euro area (the euro area accounts). Eurostat is also publishing the non-financial accounts for the EU. The QSA record the economic flows of institutional sectors in order to illustrate their economic behaviour and show relations between them. They also provide a list of balancing items that have high analytical value in their own right: value added, operating surplus and mixed income, balance of primary incomes, disposable income, saving, net lending / net borrowing. All of them but net lending / net borrowing, can be expressed in gross or net terms, i.e. with and without consumption of fixed capital that accounts for the use and obsolescence of fixed assets. In terms of institutional sectors, a broad distinction is made between the domestic economy (ESA 1995 classification code S.1) and the rest of the world (S.2). Within S.1, in turn, the following institutional sectors are distinguished: - Non-financial Corporations (S.11) - Financial Corporations (S.12) - General Government (S.13) - Households and Non-profit Institutions Serving Households (S.14 + S.15). The full set of quarterly sector accounts is published for euro area / EU28 aggregates only. However, a subset of quarterly national key indicators is available at dedicated section (see "Quarterly data") as well as in the database (see table "Key indicators") for most of the 17 members of the European Economic Area (EEA) whose GDP is above 1% of the EU28 total. The other EEA members do not have to transmit the quarterly accounts of corporations and households to Eurostat. Non-financial accounts are presented in the table "Non-financial transactions" (nasq_nf_tr). The other three tables (only the Euro area) include financial accounts, other flows and balance sheets. QSA data are provided at current prices only. The key indicators (and their components) of households and non-financial corporations as published in the QSA news release are seasonally adjusted. Data are presented in millions of national currency, euro and as percentages.
    • 1月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 31 1月, 2024
      データセットを選択
      The data on contingent liabilities and potential obligations of government are collected in the context of the Enhanced Economic Governance package (the "six-pack") adopted in 2011. In particular, Council Directive 2011/85 on requirements for budgetary frameworks of the Member States requires the Member States to publish relevant information on contingent liabilities with potentially large impacts on public budgets, including government guarantees, non-performing loans, and liabilities stemming from the operation of public corporations, including the extent thereof. The liabilities are called “contingent” in the sense that they are by nature only potential and not actual liabilities. Non-performing loans could imply a potential loss for government if these loans were not repaid. This new data collection represents a step towards further transparency of public finances in the EU by giving a more comprehensive picture of EU Member States’ financial positions3 It is to be underlined that contingent liabilities are not part of the general government (Maastricht) debt as defined in the Council Regulation (EC) No 479/2009 of 25 May 2009 on the application of the Protocol on the excessive deficit procedure annexed to the Treaty establishing the European Community. Eurostat collects and publishes the following indicators: government guarantees, liabilities related to public-private partnerships recorded off-balance sheet of government, liabilities of government controlled entities classified outside general government (public corporations) and non-performing loans. Regarding government controlled entities, it should be mentioned that this refers to  government controlled units, not classified in general government, and which are controlled, directly or indirectly (through other public units), by government. In cases when the government share in a corporation is lower than 50% and government does not have control over an entity, the corporation is not considered as controlled by government. Regarding the control criteria, according to ESA 2010 paragraph 20.18: “Control over an entity is the ability to determine the general policy or programme of that entity (…)”. The criteria to be used for corporations are indicated in ESA 2010 paragraphs 2.38 and further detailed in paragraph 20.309. ESA 2010 paragraph 2.38 specifies that: “General government secures control over a corpo­ration as a result of special legislation, decree or reg­ulation which empowers the government to deter­mine corporate policy. The following indicators are the main factors to consider in deciding whether a corporation is controlled by government:(a) government ownership of the majority of the voting interest; (b) government control of the board or governing body; (c) government control of the appointment and removal of key personnel;(d) government control of key committees in the entity; (e) government possession of a golden share; (f) special regulations; (g) government as a dominant customer; (h) borrowing from government. A single indicator may be sufficient to establish control, but, in other cases, a number of separate indicators may collectively indicate control.”
    • 7月 2023
      ソース: The National Committee on North Korea
      アップロード者: Knoema
      以下でアクセス: 14 7月, 2023
      データセットを選択
    • 1月 2012
      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
      The harmonised data on accidents at work are collected in the framework of the European Statistics on Accidents at Work (ESAW), on the basis of a methodology developed in 1990. The data refer to accidents at work resulting in more than 3 days' absence from work (serious accidents) and fatal accidents. A fatal accident is defined as an accident which leads to the death of a victim within one year of the accident. The indicators used are the number and incidence rate of serious and fatal accidents at work. The incidence rate of serious accidents at work is the number of persons involved in accidents at work with more than 3 days' absence per 100,000 persons in employment. The incidence rate of fatal accidents at work is the number of persons with fatal accidents at work per 100,000 persons in employment. The national ESAW sources are the declarations of accidents at work, either to the public (Social Security) or private specific insurance for accidents at work, or to other relevant national authority (Labour Inspection, etc.) for countries having a "universal" Social Security system. For the Netherlands only survey data are available for the non-fatal accidents at work (a special module in the national labour force survey). Sector coverage: In general the private sector is covered by all national reporting systems. However some important sectors are not covered by all Member States. The specification of sectors is given according to the NACE classification (NACE = Nomenclature statistique des activités économiques dans la Communauté européenne). The incidence rate is calculated for the total of the so-called 9 common branches (See point 3.6). For a structured metadata overview on variables, coverage of sectors and professional status please see also the annex Metadata_overview_2007.Statistical adjustments: Because the frequency of work accidents is higher in some branches (high-risk sectors), an adjustment is performed to get more standardised incidence rates. For more details, please see the summary methodology (link at the bottom of the page). Geographical coverage: For accidents at work, data are available for all old EU-Member States (EU 15) and Norway. The methodology has also been implemented in the New Member States and Switzerland with first data being available for the reference year 2004.
    • 1月 2012
      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
      The harmonised data on accidents at work are collected in the framework of the European Statistics on Accidents at Work (ESAW), on the basis of a methodology developed in 1990. The data refer to accidents at work resulting in more than 3 days' absence from work (serious accidents) and fatal accidents. A fatal accident is defined as an accident which leads to the death of a victim within one year of the accident. The indicators used are the number and incidence rate of serious and fatal accidents at work. The incidence rate of serious accidents at work is the number of persons involved in accidents at work with more than 3 days' absence per 100,000 persons in employment. The incidence rate of fatal accidents at work is the number of persons with fatal accidents at work per 100,000 persons in employment. The national ESAW sources are the declarations of accidents at work, either to the public (Social Security) or private specific insurance for accidents at work, or to other relevant national authority (Labour Inspection, etc.) for countries having a "universal" Social Security system. For the Netherlands only survey data are available for the non-fatal accidents at work (a special module in the national labour force survey). Sector coverage: In general the private sector is covered by all national reporting systems. However some important sectors are not covered by all Member States. The specification of sectors is given according to the NACE classification (NACE = Nomenclature statistique des activités économiques dans la Communauté européenne). The incidence rate is calculated for the total of the so-called 9 common branches (See point 3.6). For a structured metadata overview on variables, coverage of sectors and professional status please see also the annex Metadata_overview_2007.Statistical adjustments: Because the frequency of work accidents is higher in some branches (high-risk sectors), an adjustment is performed to get more standardised incidence rates. For more details, please see the summary methodology (link at the bottom of the page). Geographical coverage: For accidents at work, data are available for all old EU-Member States (EU 15) and Norway. The methodology has also been implemented in the New Member States and Switzerland with first data being available for the reference year 2004.
    • 1月 2012
      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
      The harmonised data on accidents at work are collected in the framework of the European Statistics on Accidents at Work (ESAW), on the basis of a methodology developed in 1990. The data refer to accidents at work resulting in more than 3 days' absence from work (serious accidents) and fatal accidents. A fatal accident is defined as an accident which leads to the death of a victim within one year of the accident. The indicators used are the number and incidence rate of serious and fatal accidents at work. The incidence rate of serious accidents at work is the number of persons involved in accidents at work with more than 3 days' absence per 100,000 persons in employment. The incidence rate of fatal accidents at work is the number of persons with fatal accidents at work per 100,000 persons in employment. The national ESAW sources are the declarations of accidents at work, either to the public (Social Security) or private specific insurance for accidents at work, or to other relevant national authority (Labour Inspection, etc.) for countries having a "universal" Social Security system. For the Netherlands only survey data are available for the non-fatal accidents at work (a special module in the national labour force survey). Sector coverage: In general the private sector is covered by all national reporting systems. However some important sectors are not covered by all Member States. The specification of sectors is given according to the NACE classification (NACE = Nomenclature statistique des activités économiques dans la Communauté européenne). The incidence rate is calculated for the total of the so-called 9 common branches (See point 3.6). For a structured metadata overview on variables, coverage of sectors and professional status please see also the annex Metadata_overview_2007.Statistical adjustments: Because the frequency of work accidents is higher in some branches (high-risk sectors), an adjustment is performed to get more standardised incidence rates. For more details, please see the summary methodology (link at the bottom of the page). Geographical coverage: For accidents at work, data are available for all old EU-Member States (EU 15) and Norway. The methodology has also been implemented in the New Member States and Switzerland with first data being available for the reference year 2004.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      The harmonised data on accidents at work are collected in the framework of the European Statistics on Accidents at Work (ESAW), on the basis of a methodology developed in 1990. The data refer to accidents at work resulting in more than 3 days' absence from work (serious accidents) and fatal accidents. A fatal accident is defined as an accident which leads to the death of a victim within one year of the accident. The indicators used are the number and incidence rate of serious and fatal accidents at work. The incidence rate of serious accidents at work is the number of persons involved in accidents at work with more than 3 days' absence per 100,000 persons in employment. The incidence rate of fatal accidents at work is the number of persons with fatal accidents at work per 100,000 persons in employment. The national ESAW sources are the declarations of accidents at work, either to the public (Social Security) or private specific insurance for accidents at work, or to other relevant national authority (Labour Inspection, etc.) for countries having a "universal" Social Security system. For the Netherlands only survey data are available for the non-fatal accidents at work (a special module in the national labour force survey). Sector coverage: In general the private sector is covered by all national reporting systems. However some important sectors are not covered by all Member States. The specification of sectors is given according to the NACE classification (NACE = Nomenclature statistique des activités économiques dans la Communauté européenne). The incidence rate is calculated for the total of the so-called 9 common branches (See point 3.6). For a structured metadata overview on variables, coverage of sectors and professional status please see also the annex Metadata_overview_2007.Statistical adjustments: Because the frequency of work accidents is higher in some branches (high-risk sectors), an adjustment is performed to get more standardised incidence rates. For more details, please see the summary methodology (link at the bottom of the page). Geographical coverage: For accidents at work, data are available for all old EU-Member States (EU 15) and Norway. The methodology has also been implemented in the New Member States and Switzerland with first data being available for the reference year 2004.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      The harmonised data on accidents at work are collected in the framework of the European Statistics on Accidents at Work (ESAW), on the basis of a methodology developed in 1990. The data refer to accidents at work resulting in more than 3 days' absence from work (serious accidents) and fatal accidents. A fatal accident is defined as an accident which leads to the death of a victim within one year of the accident. The indicators used are the number and incidence rate of serious and fatal accidents at work. The incidence rate of serious accidents at work is the number of persons involved in accidents at work with more than 3 days' absence per 100,000 persons in employment. The incidence rate of fatal accidents at work is the number of persons with fatal accidents at work per 100,000 persons in employment. The national ESAW sources are the declarations of accidents at work, either to the public (Social Security) or private specific insurance for accidents at work, or to other relevant national authority (Labour Inspection, etc.) for countries having a "universal" Social Security system. For the Netherlands only survey data are available for the non-fatal accidents at work (a special module in the national labour force survey). Sector coverage: In general the private sector is covered by all national reporting systems. However some important sectors are not covered by all Member States. The specification of sectors is given according to the NACE classification (NACE = Nomenclature statistique des activités économiques dans la Communauté européenne). The incidence rate is calculated for the total of the so-called 9 common branches (See point 3.6). For a structured metadata overview on variables, coverage of sectors and professional status please see also the annex Metadata_overview_2007.Statistical adjustments: Because the frequency of work accidents is higher in some branches (high-risk sectors), an adjustment is performed to get more standardised incidence rates. For more details, please see the summary methodology (link at the bottom of the page). Geographical coverage: For accidents at work, data are available for all old EU-Member States (EU 15) and Norway. The methodology has also been implemented in the New Member States and Switzerland with first data being available for the reference year 2004.
    • 1月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 2月, 2017
      データセットを選択
      The Structure of Earnigns Survey is a 4-yearly survey conducted by the National Statistical Institutes (NSI). The tables published present data on number of employees, mean hourly earnings and hourly overtime pay, mean monthly earnings and overtime & shift pay, mean annual earnings and total annual bonuses, mean monthly hours paid and mean annual holidays. Details of available indicators and tables can be found under Annexes Tables 2002 at the bottom of this page. Regional metadata is identical to metadata provided for the national data.
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 10月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2020
      データセットを選択
      The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES 2014 provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for some countries and regional metadata is identical to that provided for national data. The Structure of Earnings Survey (SES) is a 4-yearly survey which provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is so that National Statistical Institutes (NSIs) provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes. The SES provides detailed and comparable information on relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise). Regional data is also available for countries (where applicable) and regional metadata is identical to that provided for national data.
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 8月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2021
      データセットを選択
    • 3月 2009
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 30 3月, 2023
      データセットを選択
      Eurostat Dataset Id:lc_n00stu Labour cost statistics constitute a hierarchical system of multi-annual, yearly and quarterly statistics, designed to provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs. Structural information on labour costs is collected through four-yearly Labour Cost Surveys (LCSs), which provides details on level and structure of labour cost data, hours worked and hours paid. LCS results are available for the reference years 2000, 2004 and 2008. All EU Member States together with Norway, Iceland and Croatia (2004, 2008), Turkey and Macedonia (2008) participated in the LCS. As far as available data and confidentiality rules permit, all variables and proportions are further broken down by enterprise size category, economic activity and region (larger countries only). The data are collected by the National Statistical Institutes in most cases on the basis of stratified random samples of enterprises or local units, restricted in most countries to units with at least 10 employees. The stratification is based on economic activity, size category and region (where appropriate). Regional metadata is identical to the metadata provided for national data. Some countries also complement the survey results with administrative data. Monetary variables are expressed in EUR, national currencies (if different) and Purchasing Power Standards (PPS). Labour costs are quoted in total and per year, per month and per hour, as well as per capita and per full-time equivalents (FTE). Information on staff, hours worked and hours paid is quoted in aggregate and separately for full- and part-time employees. Labour cost statistics constitute a hierarchical system of multi-annual, yearly and quarterly statistics, designed to provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs.
  • O
    • 12月 2022
      ソース: Federal Reserve Bank of St. Louis
      アップロード者: Knoema
      以下でアクセス: 17 12月, 2022
      データセットを選択
      International Data from Federal Reserve Bank of St. Louis
    • 4月 2024
      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: 16 4月, 2024
      データセットを選択
    • 4月 2024
      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: 15 4月, 2024
      データセットを選択
      The OECD Weekly Tracker of GDP growth provides a real-time high-frequency indicator of economic activity using machine learning and Google Trends data. It has a wide country coverage of OECD and G20 countries. The Tracker is thus particularly well suited to assessing activity during the turbulent period of the current global pandemic. It applies a machine learning model to a panel of Google Trends data for 46 countries, and aggregates together information about search behaviour related to consumption, labour markets, housing, trade, industrial activity and economic uncertainty.   The Weekly Tracker proxies the percent change in weekly GDP levels from the pre-crisis trend. The pre-crisis trend is taken from OECD forecasts made prior to the crisis (in the November 2019 Economic Outlook). Two other flavours of the Tracker are also available in the datafiles: a Tracker of weekly GDP growth year-on-year (that is, the percent change in weekly GDP from the same week in the past year), and a Tracker of weekly GDP growth year-on-two-year (the percent change in weekly GDP from the same week two years earlier). 
    • 3月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 3月, 2018
      データセットを選択
      Official development assistance (ODA) consists of grants or loans that are undertaken by the official sector with the objective of promoting economic development and welfare in recipient countries. Disbursements record the actual international transfer of financial resources, or of goods or services valued at the cost of the donor. ODA is here presented as a share of Gross National Income (GNI). GNI at market prices equals Gross Domestic Product (GDP) minus primary income payable by resident units to non-resident units, plus primary income receivable by resident units from the rest of the world. The EU made a commitment to collectively reach official development assistance of 0.7% of GNI by 2015 and of 0.56% of GNI as an intermediate target by 2010. The list of countries and territories eligible to receive ODA is determined by the OECD’s Development Assistance Committee (DAC).
    • 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
      Official development assistance (ODA) is defined here as net bilateral and imputed multilateral disbursements at market prices for ODA to countries mentioned in the DAC (Development Assistance Committee) list. Unit of measure is Million EUR.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The international investment position (IIP) is a statistical statement that shows at a point in time the value and composition of: -financial assets of residents of an economy that are claims on non-residents and gold bullion held as reserve assets, and -liabilities of residents of an economy to non-residents. The difference between an economy’s external financial assets and liabilities is the economy’s net IIP, which may be positive or negative. According to the functional category, the cross-border financial positions are classified as: 1) For the assets - Direct investment; Portfolio investment; Financial derivatives and employee stock options ; Other investment and Reserve assets 2) For the liabilities - Direct investment; Portfolio investment; Financial derivatives and employee stock options and Other investment The financial positions are further classified according the different instruments and institutional sectors. The data are expressed in million units of national currency. The indicator is based on the Eurostat data from the Balance of payment statistics, these data are quaterly reported to the ECB by the EU Member States. Definitions are based on the IMF Sixth Balance of Payments Manual (BPM6).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The international investment position (IIP) is a statistical statement that shows at a point in time the value and composition of: -financial assets of residents of an economy that are claims on non-residents and gold bullion held as reserve assets, and -liabilities of residents of an economy to non-residents. The difference between an economy’s external financial assets and liabilities is the economy’s net IIP, which may be positive or negative. According to the functional category, the cross-border financial positions are classified as: 1) For the assets - Direct investment; Portfolio investment; Financial derivatives and employee stock options ; Other investment and Reserve assets 2) For the liabilities - Direct investment; Portfolio investment; Financial derivatives and employee stock options and Other investment The financial positions are further classified according the different instruments. The data on portfolio investment are expressed in million units of national currency. The indicator is based on the Eurostat data from the Balance of payment statistics, these data are quaterly reported to the ECB by the EU Member States. Definitions are based on the IMF Sixth Balance of Payments Manual (BPM6).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The international investment position (IIP) is a statistical statement that shows at a point in time the value and composition of: -financial assets of residents of an economy that are claims on non-residents and gold bullion held as reserve assets, and -liabilities of residents of an economy to non-residents. The difference between an economy’s external financial assets and liabilities is the economy’s net IIP, which may be positive or negative. According to the functional category, the cross-border financial positions are classified as: 1) For the assets - Direct investment; Portfolio investment; Financial derivatives and employee stock options ; Other investment and Reserve assets 2) For the liabilities - Direct investment; Portfolio investment; Financial derivatives and employee stock options and Other investment The financial positions are further classified according the different instruments and institutional sectors. The data are expressed in million units of national currency. The indicator is based on the Eurostat data from the Balance of payment statistics, these data are quaterly reported to the ECB by the EU Member States. Definitions are based on the IMF Sixth Balance of Payments Manual (BPM6).
    • 4月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 12月, 2015
      データセットを選択
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Foreign direct investment (FDI) is the category of international investment made by a resident entity (direct investor) to acquire a lasting interest in an entity operating in an economy other than that of the investor (direct investment enterprise). The lasting interest is deemed to exist if the investor acquires at least 10% of the equity capital of the enterprise. For this indicator stocks of FDI made outside the reporting economy are expressed as percentage of GDP to remove the effect of differences in the size of the economies of the reporting countries.
  • P
    • 11月 2023
      ソース: World Intellectual Property Organization
      アップロード者: Knoema
      以下でアクセス: 31 1月, 2024
      データセットを選択
      Zaire, officially the Republic of Zaire, was the name of the Democratic Republic of the Congo between 1971 and 1997.
    • 1月 2023
      ソース: University of Groningen, Netherlands
      アップロード者: Felix Maru
      以下でアクセス: 01 2月, 2023
      データセットを選択
    • 2月 2021
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 2月, 2021
      データセットを選択
      This variable is the sum of the following variables asset items: Land and buildings + investments in affiliated enterprises and participating interests + shares and other variable-yield securities + units in undertakings for collective investment in transferable securities + debt securities and other fixed-income securities + participation in investment pools + loans guaranteed by mortgages and other loans not covered elsewhere + other investments.
    • 12月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 10 1月, 2024
      データセットを選択
      Value added at factor cost in the ICT sector (source: SBS, variable V12150) Since 2008, definition of the ICT sector is based on NACE Rev. 2 classification as follows: ICT Total (261 + 262 + 263 + 264 + 268 + 951 + 465 + 582 + 61 + 62 + 631) ICT Manufacturing (261 + 262 + 263 + 264 + 268) ICT Services (951 + 465 + 582 + 61 + 62 + 631) Until 2007, definition of the ICT sector is based on NACE Rev. 1.1 classification as follows: ICT Total (30 + 313 + 32 + 332 + 333 + 5184 + 5186 + 642 + 72) ICT Manufacturing (30 + 313 + 32 + 332 + 333) ICT Services (5184 + 5186 + 642 + 72) Total value added at factor cost (source: National Accounts, all branches) Value added at factor cost is defined as Gross value added (at basic prices) minus Other taxes less other subsidies on production. Due to change of the ICT sector definition as a consequence of change of the underlying classification, data for 2008 are not comparable with data published for previous years.
    • 3月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 3月, 2023
      データセットを選択
      The number of persons employed is defined as the total number of persons working in the various industries: employees, non employees (e.g. family workers, delivery personnel) with the exception of agency workers. The data is broken down by size classes of persons employed. Country data are expressed in units. European aggregates (EU27 (2007-2013)) are expressed in 100.
    • 2月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 2月, 2022
      データセットを選択
    • 2月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 2月, 2022
      データセットを選択
    • 2月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 2月, 2022
      データセットを選択
    • 2月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 2月, 2022
      データセットを選択
    • 2月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 2月, 2022
      データセットを選択
    • 2月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 2月, 2022
      データセットを選択
    • 2月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 2月, 2022
      データセットを選択
    • 2月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 2月, 2022
      データセットを選択
    • 2月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 2月, 2022
      データセットを選択
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The international investment position (IIP) is a statistical statement that shows at a point in time the value and composition of: -financial assets of residents of an economy that are claims on non-residents and gold bullion held as reserve assets, and -liabilities of residents of an economy to non-residents. The difference between an economy’s external financial assets and liabilities is the economy’s net IIP, which may be positive or negative. According to the functional category, the cross-border financial positions are classified as: 1) For the assets - Direct investment; Portfolio investment; Financial derivatives and employee stock options ; Other investment and Reserve assets 2) For the liabilities - Direct investment; Portfolio investment; Financial derivatives and employee stock options and Other investment The financial positions are further classified according the different instruments. The data on portfolio investment are expressed in million units of national currency. The indicator is based on the Eurostat data from the Balance of payment statistics, these data are quaterly reported to the ECB by the EU Member States. Definitions are based on the IMF Sixth Balance of Payments Manual (BPM6).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The international investment position (IIP) is a statistical statement that shows at a point in time the value and composition of: - financial assets of residents of an economy that are claims on non-residents and gold bullion held as reserve assets, and - liabilities of residents of an economy to non-residents. The difference between an economy’s external financial assets and liabilities is the economy’s net IIP, which may be positive or negative. According to the functional category, the cross-border financial positions are classified as: 1) For the assets - Direct investment; Portfolio investment; Financial derivatives and employee stock options ; Other investment and Reserve assets 2) For the liabilities - Direct investment; Portfolio investment; Financial derivatives and employee stock options and Other investment The financial positions are further classified according the different instruments. The data on portfolio investment are expressed in million units of national currency. The indicator is based on the Eurostat data from the Balance of payment statistics, these data are quaterly reported to the ECB by the EU Member States. Definitions are based on the IMF Sixth Balance of Payments Manual (BPM6).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The international investment position (IIP) is a statistical statement that shows at a point in time the value and composition of: -financial assets of residents of an economy that are claims on non-residents and gold bullion held as reserve assets, and -liabilities of residents of an economy to non-residents. The difference between an economy’s external financial assets and liabilities is the economy’s net IIP, which may be positive or negative. According to the functional category, the cross-border financial positions are classified as: 1) For the assets - Direct investment; Portfolio investment; Financial derivatives and employee stock options ; Other investment and Reserve assets 2) For the liabilities - Direct investment; Portfolio investment; Financial derivatives and employee stock options and Other investment The financial positions are further classified according the different instruments and institutional sectors. The data on portfolio investment are expressed in million units of national currency. The indicator is based on the Eurostat data from the Balance of payment statistics, these data are quaterly reported to the ECB by the EU Member States. Definitions are based on the IMF Sixth Balance of Payments Manual (BPM6).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The international investment position (IIP) is a statistical statement that shows at a point in time the value and composition of: -financial assets of residents of an economy that are claims on non-residents and gold bullion held as reserve assets, and -liabilities of residents of an economy to non-residents. The difference between an economy’s external financial assets and liabilities is the economy’s net IIP, which may be positive or negative. According to the functional category, the cross-border financial positions are classified as: 1) For the assets - Direct investment; Portfolio investment; Financial derivatives and employee stock options ; Other investment and Reserve assets 2) For the liabilities - Direct investment; Portfolio investment; Financial derivatives and employee stock options and Other investment The financial positions are further classified according the different instruments and institutional sectors. The data on portfolio investment are expressed in million units of national currency. The indicator is based on the Eurostat data from the Balance of payment statistics, these data are quaterly reported to the ECB by the EU Member States. Definitions are based on the IMF Sixth Balance of Payments Manual (BPM6).
    • 4月 2023
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 07 4月, 2023
      データセットを選択
      The World Bank updated the global poverty lines in September 2022. The Poverty data are now expressed in 2017 Purchasing Power Parity (PPP) prices, versus 2011 PPP in previous editions. The new global poverty lines of $2.15, $3.65, and $6.85 reflect the typical national poverty lines of low-income, lower-middle-income, and upper-middle-income countries in 2017 prices.
    • 11月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 12月, 2017
      データセットを選択
      Data in this domain constitute only a small part of the entire National Accounts data range available from Eurostat. Annual and quarterly national accounts are compiled in accordance with the European System of Accounts - ESA 2010as defined in Annex B of the Council Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013. The previous European System of Accounts, ESA95, was reviewed to bring national accounts in the European Union, in line with new economic environment, advances in methodological research and needs of users and the updated national accounts framework at the international level, the SNA 2008. The revisions are reflected in an updated Regulation of the European Parliament and of the Council on the European system of national and regional accounts in the European Union of 2010 (ESA 2010). The associated transmission programme is also updated and data transmissions in accordance with ESA 2010 are compulsory from September 2014 onwards. The annual data of this domain consists of the following collections: 1. Main GDP aggregates: main components from the output, expenditure and income side. nama_10_gdp: GDP and main components (output, expenditure and income   The quarterly data of this domain consists of the following collections 1. Main GDP aggregates, main components from the output, expenditure and income side, expenditure breakdowns by industry and assets. namq_10_ma: Main GDP aggregatesnamq_10_gdp: GDP and main components (output, expenditure and incomenamq_10_fcs: Final consumption aggregates by durabilitynamq_10_exi: Exports and imports by Member States of the EU/third countries 2. Breakdowns of GDP aggregates and employment data by main industries and asset classes. namq_10_bbr: Basic breakdowns main GDP aggregates and employment (by industry and assets)namq_10_a10: Gross value added and income by A*10 industrynamq_10_an6: Gross fixed capital formation by AN_F6 asset typenamq_10_a10_e: Employment by A*10 industry breakdowns Geographical entities covered are the European Union, the euro area, EU Member States, Candidate Countries, EFTA countries, US, Japan and possibly other countries on an ad-hoc basis. Data sources: National Statistical Institutes
    • 1月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 10 1月, 2024
      データセットを選択
      Comparative price levels are the ratio between Purchasing power parities (PPPs) and market exchange rate for each country. PPPs are currency conversion rates that convert economic indicators expressed in national currencies to a common currency, called Purchasing Power Standard (PPS), which equalises the purchasing power of different national currencies and thus allows meaningful comparison. If the coefficient of variation of the comparative price levels for the EU decreases/increases over time, the national price levels in the Member States are converging/diverging.
    • 5月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 6月, 2020
      データセットを選択
      Eurostat Dataset Id:med_ec8 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â
    • 6月 2020
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 24 6月, 2020
      データセットを選択
      The Principal Global Indicators (PGI) dataset provides internationally comparable data for the Group of 20 economies (G-20) and economies with systemically important financial sectors that are not members of the G-20. The PGI facilitates the monitoring of economic and financial developments for these jurisdictions. Launched in 2009, the PGI website is hosted by the IMF and is a joint undertaking of the Inter-Agency Group of Economic and Financial Statistics (IAG).
    • 4月 2015
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 13 8月, 2015
      データセットを選択
      Private fixed investment in advanced economies contracted sharply during the global financial crisis, and there has been little recovery since. Investment has generally slowed more gradually in the rest of the world. Although housing investment fell especially sharply during the crisis, business investment accounts for the bulk of the slump, and the overriding factor holding it back has been the overall weakness of economic activity. In some countries, other contributing factors include financial constraints and policy uncertainty. These findings suggest that addressing the general weakness in economic activity is crucial for restoring growth in private investment.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      データセットを選択
      The private sector credit flow represents the net amount of liabilities in which the sectors Non-Financial corporations, Households and Non-Profit institutions serving households (S.11_S.14_S.15) have incurred along the year. The instruments that are taken into account to compile private sector credit flow are Debt securities (F.3) and Loans (F.4). Data are presented in consolidated terms, i.e. data do not take into account transactions within the same sector and expressed in % of GDP and in million units of national currency. Definitions regarding sectors and instruments are based on the ESA 2010. The MIP scoreboard indicator is expressed in % of GDP. It is the flow counterpart of private sector debt (which is a stock indicator). The indicative threshold of private sector credit flow is 14%. The formula is: [PSCFt/GDPt]*100.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      データセットを選択
      The private sector credit flow represents the net amount of liabilities in which the sectors Non-Financial corporations, Households and Non-Profit institutions serving households (S.11_S.14_S.15) have incurred along the year. The instruments that are taken into account to compile private sector credit flow are Debt securities (F.3) and Loans (F.4). Data are presented in non-consolidated terms, i.e. data take into account transactions within the same sector and expressed in % of GDP and in Million units of national currency. Definitions regarding sectors and instruments are based on the ESA 2010.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      データセットを選択
      The table presents the net flow of debt securities (F.3) for the sectors Non-Financial corporations (S.11), Households (S.14) and Non-Profit institutions serving households (S.15). The debt securities are negotiable financial instruments serving as evidence of debt. Data are presented in consolidated terms, i.e. data do not take into account transactions within the same sector and expressed in % of GDP. Definitions regarding sectors and instruments are based on the ESA 2010.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      データセットを選択
      The table presents the net flow of debt securities (F.3) for the sectors Non-Financial corporations (S.11), Households (S.14) and Non-Profit institutions serving households (S.15). The debt securities are negotiable financial instruments serving as evidence of debt. Data are presented in consolidated terms, i.e. data do not take into account transactions within the same sector and expressed in % of GDP and in million units of national currency. Definitions regarding sectors and instruments are based on the ESA 2010.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      データセットを選択
      The table presents the net flow of debt securities (F.3) for the sectors Non-Financial corporations (S.11), Households (S.14) and Non-Profit institutions serving households (S.15). The debt securities are negotiable financial instruments serving as evidence of debt. Data are presented in non-consolidated terms, i.e. data take into account transactions within the same sector and expressed in % of GDP. Definitions regarding sectors and instruments are based on the ESA 2010.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      データセットを選択
      The table presents the net flow of debt securities (F.3) for the sectors Non-Financial corporations (S.11), Households (S.14) and Non-Profit institutions serving households (S.15). The debt securities are negotiable financial instruments serving as evidence of debt. Data are presented in non-consolidated terms, i.e. data take into account transactions within the same sector and expressed in Million units of national currency. Definitions regarding sectors and instruments are based on the ESA 2010.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      データセットを選択
      The table presents the net flow of loans (F.4) for the sectors Non-Financial corporations (S.11), Households (S.14) and Non-Profit institutions serving households (S.15). The debt securities are negotiable financial instruments serving as evidence of debt. Data are presented in consolidated terms, i.e. data do not take into account transactions within the same sector and expressed in % of GDP. Definitions regarding sectors and instruments are based on the ESA 2010.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      データセットを選択
      The table presents the net flow of loans (F.4) for the sectors Non-Financial corporations (S.11), Households (S.14) and Non-Profit institutions serving households (S.15). The debt securities are negotiable financial instruments serving as evidence of debt. Data are presented in consolidated terms, i.e. data do not take into account transactions within the same sector and expressed in million units of national currency. Definitions regarding sectors and instruments are based on the ESA 2010.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      データセットを選択
      The table presents the net flow of loans (F.4) for the sectors Non-Financial corporations (S.11), Households (S.14) and Non-Profit institutions serving households (S.15). The debt securities are negotiable financial instruments serving as evidence of debt. Data are presented in non-consolidated terms, i.e. data take into account transactions within the same sector and expressed in % of GDP. Definitions regarding sectors and instruments are based on the ESA 2010.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      データセットを選択
      The table presents the net flow of loans (F.4) for the sectors Non-Financial corporations (S.11), Households (S.14) and Non-Profit institutions serving households (S.15). The debt securities are negotiable financial instruments serving as evidence of debt. Data are presented in non-consolidated terms, i.e. data take into account transactions within the same sector and expressed in Million units of national currency. Definitions regarding sectors and instruments are based on the ESA 2010.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      データセットを選択
      The private sector debt is the stock of liabilities held by the sectors Non-Financial corporations, Households and Non-Profit institutions serving households (S.11_S.14_S.15). The instruments that are taken into account to compile private sector debt are Debt securities (F.3) and Loans (F.4). Data are presented in consolidated terms, i.e. do not taking into account transactions within the same sector, and expressed in % of GDP and million of national currency. Definitions regarding sectors and instruments are based on the ESA 2010. The MIP scoreboard indicator is the stock of private sector debt in percentage of GDP. The indicator is calculated as: [PSDt/GDPt]*100. The indicative threshold of private sector debt is 133%.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      データセットを選択
      The private sector debt is the stock of liabilities held by the sectors Non-Financial corporations, Households and Non-Profit institutions serving households (S.11_S.14_S.15). The instruments that are taken into account to compile private sector debt are Debt securities (F.3) and Loans (F.4). Data are presented in non-consolidated terms, i.e. taking into account transactions within the same sector and expressed in % of GDP and million of national currency. Definitions regarding sectors and instruments are based on the ESA 2010.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      データセットを選択
      The table presents the stock of liabilities of debt securities (F.3) for the sectors Non-Financial corporations (S.11), Households (S.14) and Non-Profit institutions serving households (S.15). The debt securities are negotiable financial instruments serving as evidence of debt. Data are presented in non-consolidated terms, i.e. data take into account transactions within the same sector and expressed in % of GDP. Definitions regarding sectors and instruments are based on the ESA 2010.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      データセットを選択
      The table presents the stock of liabilities of debt securities (F.3) for the sectors Non-Financial corporations (S.11), Households (S.14) and Non-Profit institutions serving households (S.15). The debt securities are negotiable financial instruments serving as evidence of debt. Data are presented in non-consolidated terms, i.e. data take into account transactions within the same sector and expressed in million units of national currency. Definitions regarding sectors and instruments are based on the ESA 2010.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      データセットを選択
      The table presents the stock of liabilities of debt securities (F.3) for the sectors Non-Financial corporations (S.11), Households (S.14) and Non-Profit institutions serving households (S.15). The debt securities are negotiable financial instruments serving as evidence of debt. Data are presented in consolidated terms, i.e. data do not take into account transactions within the same sector and expressed in % of GDP. Definitions regarding sectors and instruments are based on the ESA 2010.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      データセットを選択
      The table presents the stock of liabilities of debt securities (F.3) for the sectors Non-Financial corporations (S.11), Households (S.14) and Non-Profit institutions serving households (S.15). The debt securities are negotiable financial instruments serving as evidence of debt. Data are presented in consolidated terms, i.e. data do not take into account transactions within the same sector and expressed in million units of national currency. Definitions regarding sectors and instruments are based on the ESA 2010.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      データセットを選択
      The table presents the stock of liabilities of loans (F.4) for the sectors Non-Financial corporations (S.11), Households (S.14) and Non-Profit institutions serving households (S.15). The debt securities are negotiable financial instruments serving as evidence of debt. Data are presented in non-consolidated terms, i.e. data take into account transactions within the same sector and expressed in million units of national currency. Definitions regarding sectors and instruments are based on the ESA 2010.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      データセットを選択
      The table presents the stock of liabilities of loans (F.4) for the sectors Non-Financial corporations (S.11), Households (S.14) and Non-Profit institutions serving households (S.15). The debt securities are negotiable financial instruments serving as evidence of debt. Data are presented in consolidated terms, i.e. data do not take into account transactions within the same sector and expressed in % of GDP. Definitions regarding sectors and instruments are based on the ESA 2010.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      データセットを選択
      The table presents the stock of liabilities of loans (F.4) for the sectors Non-Financial corporations (S.11), Households (S.14) and Non-Profit institutions serving households (S.15). The debt securities are negotiable financial instruments serving as evidence of debt. Data are presented in consolidated terms, i.e. data do not take into account transactions within the same sector and expressed in million units of national currency. Definitions regarding sectors and instruments are based on the ESA 2010.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2024
      データセットを選択
      Short-term statistics (STS) give information on a wide range of economic activities according to NACE Rev.2 classification (Statistical Classification of Economic Activities in the European Community). The industrial import price indices offer information according to the CPA classification (Statistical Classification of Products by Activity in the European Economic Community). Construction indices are broken down by Classification of Types of Constructions (CC). All data under this heading are index data. Percentage changes are also available for each indicator. The index data are generally presented in the following forms:UnadjustedCalendar adjustedSeasonally adjusted Depending on the STS regulation data are accessible as monthly, quarterly and annual data. This heading covers the indicators listed below in four different sectors. Based on the national data, Eurostat compiles EU and euro area infra-annual economic statistics. Among these, a list of indicators, called Principal European Economic Indicators (PEEIs) has been identified by key users as being of prime importance for the conduct of monetary and economic policy of the euro area. These indicators are mainly released through Eurostat's website under the heading Euro-indicators. There are eight PEEIs contributed by STS and they are marked with * in the text below. INDUSTRYProduction (volume)*Turnover: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic turnover into euro area and non euro area is available for the euro area countriesProducer prices (output prices)*: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic producer prices into euro area and non euro area is available for the euro area countriesImport prices*: Total, Euro area market, Non euro area market (euro area countries only)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries CONSTRUCTIONProduction (volume)*: Total of the construction sector, Building construction, Civil EngineeringBuilding permits indicators*: Number of dwellings, Square meters of useful floor (or alternative size measure)Construction costs or prices: Construction costs, Material costs, Labour costs (if not available, they may be approximated by the Producer (output) prices variable)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries WHOLESALE AND RETAIL TRADEVolume of sales (deflated turnover)*Turnover (value)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries SERVICESTurnover (in value)*Labour input indicators: Number of persons employed, Hours worked, Gross wages and salariesProducer prices (Output prices )* National reference metadata of the reporting countries can be found in the Annexes of this metadata file.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2024
      データセットを選択
      Short-term statistics (STS) give information on a wide range of economic activities according to NACE Rev.2 classification (Statistical Classification of Economic Activities in the European Community). The industrial import price indices offer information according to the CPA classification (Statistical Classification of Products by Activity in the European Economic Community). Construction indices are broken down by Classification of Types of Construction (CC). All data under this heading are index data. Percentage changes are also available for each indicator. The index data are generally presented in the following forms:UnadjustedCalendar adjustedSeasonally adjusted Depending on the STS regulation data are accessible as monthly, quarterly and annual data. This heading covers the indicators listed below in four different sectors. Based on the national data, Eurostat compiles EU and euro area infra-annual economic statistics. Among these, a list of indicators, called Principal European Economic Indicators (PEEIs) has been identified by key users as being of prime importance for the conduct of monetary and economic policy of the euro area. These indicators are mainly released through Eurostat's website under the heading Euro-indicators. There are eight PEEIs contributed by STS and they are marked with * in the text below. INDUSTRYProduction (volume)*Turnover: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic turnover into euro area and non euro area is available for the euro area countriesProducer prices (output prices)*: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic producer prices into euro area and non euro area is available for the euro area countriesImport prices*: Total, Euro area market, Non euro area market (euro area countries only)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries CONSTRUCTIONProduction (volume)*: Total of the construction sector, Building construction, Civil EngineeringBuilding permits indicators*: Number of dwellings, Square meters of useful floor (or alternative size measure)Construction costs or prices: Construction costs, Material costs, Labour costs (if not available, they may be approximated by the Output prices variable)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries WHOLESALE AND RETAIL TRADEVolume of sales (deflated turnover)*Turnover (value)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries SERVICESTurnover (in value)*Labour input indicators: Number of persons employed, Hours worked, Gross wages and salariesProducer prices (Output prices )* National reference metadata of the reporting countries can be found in the Annexes of this metadata file.
    • 4月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 01 5月, 2016
      データセットを選択
      Short-term statistics (STS) give information on a wide range of economic activities according to NACE Rev.2 classification (Statistical Classification of Economic Activities in the European Community). The industrial import price indices offer information according to the CPA classification (Statistical Classification of Products by Activity in the European Economic Community). Construction indices are broken down by Classification of Types of Construction (CC). All data under this heading are index data. Percentage changes are also available for each indicator. The index data are generally presented in the following forms:UnadjustedCalendar adjustedSeasonally adjusted Depending on the STS regulation data are accessible as monthly, quarterly and annual data. This heading covers the indicators listed below in four different sectors. Based on the national data, Eurostat compiles EU and euro area infra-annual economic statistics. Among these, a list of indicators, called Principal European Economic Indicators (PEEIs) has been identified by key users as being of prime importance for the conduct of monetary and economic policy of the euro area. These indicators are mainly released through Eurostat's website under the heading Euro-indicators. There are eight PEEIs contributed by STS and they are marked with * in the text below. INDUSTRYProduction (volume)*Turnover: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic turnover into euro area and non euro area is available for the euro area countriesProducer prices (output prices)*: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic producer prices into euro area and non euro area is available for the euro area countriesImport prices*: Total, Euro area market, Non euro area market (euro area countries only)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries CONSTRUCTIONProduction (volume)*: Total of the construction sector, Building construction, Civil EngineeringBuilding permits indicators*: Number of dwellings, Square meters of useful floor (or alternative size measure)Construction costs or prices: Construction costs, Material costs, Labour costs (if not available, they may be approximated by the Output prices variable)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries WHOLESALE AND RETAIL TRADEVolume of sales (deflated turnover)*Turnover (value)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries SERVICESTurnover (in value)*Labour input indicators: Number of persons employed, Hours worked, Gross wages and salariesProducer prices (Output prices )* National reference metadata of the reporting countries can be found in the Annexes of this metadata file.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2024
      データセットを選択
      Short-term statistics (STS) give information on a wide range of economic activities according to NACE Rev.2 classification (Statistical Classification of Economic Activities in the European Community). The industrial import price indices offer information according to the CPA classification (Statistical Classification of Products by Activity in the European Economic Community). Construction indices are broken down by Classification of Types of Construction (CC). All data under this heading are index data. Percentage changes are also available for each indicator. The index data are generally presented in the following forms:UnadjustedCalendar adjustedSeasonally adjusted Depending on the STS regulation data are accessible as monthly, quarterly and annual data. This heading covers the indicators listed below in four different sectors. Based on the national data, Eurostat compiles EU and euro area infra-annual economic statistics. Among these, a list of indicators, called Principal European Economic Indicators (PEEIs) has been identified by key users as being of prime importance for the conduct of monetary and economic policy of the euro area. These indicators are mainly released through Eurostat's website under the heading Euro-indicators. There are eight PEEIs contributed by STS and they are marked with * in the text below. INDUSTRYProduction (volume)*Turnover: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic turnover into euro area and non euro area is available for the euro area countriesProducer prices (output prices)*: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic producer prices into euro area and non euro area is available for the euro area countriesImport prices*: Total, Euro area market, Non euro area market (euro area countries only)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries CONSTRUCTIONProduction (volume)*: Total of the construction sector, Building construction, Civil EngineeringBuilding permits indicators*: Number of dwellings, Square meters of useful floor (or alternative size measure)Construction costs or prices: Construction costs, Material costs, Labour costs (if not available, they may be approximated by the Output prices variable)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries WHOLESALE AND RETAIL TRADEVolume of sales (deflated turnover)*Turnover (value)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries SERVICESTurnover (in value)*Labour input indicators: Number of persons employed, Hours worked, Gross wages and salariesProducer prices (Output prices )* National reference metadata of the reporting countries can be found in the Annexes of this metadata file.
    • 7月 2023
      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 7月, 2023
      データセットを選択
      DUE TO CHANGES IN THE METHODOLOGY THE 2018 PMR VALUES CANNOT BE COMPARED WITH PREVIOUS VINTAGES. The 2018 OECD Indicators of Product Market Regulation (PMR) are a comprehensive and internationally-comparable set of indicators that measure the degree to which laws and policies promote or inhibit competition in areas of the product and service market where competition is viable. These indicators measure the de iure regulatory environments in 34 OECD countries and in a set of non-OECD countries in 2018. The economy-wide indicators cover the extent to which the involvement of the state in the economy can generate distortions to competition and the level of the barriers to entry and expansion to domestic and foreign firms in different sectors of the economy. Users of the data must be aware that they may no longer fully reflect the current situation in fast reforming countries.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The profit share of non-financial corporations is defined as gross operating surplus (ESA 2010 code: B2g_B3g) divided by gross value added (B1g). This profitability-type indicator shows the share of the value added created during the production process remunerating capital. It is the complement of the share of wage costs (plus taxes less subsidies on production) in value added. Non-financial corporation includes all private and public corporate enterprises that produce goods or provide non-financial services to the market (ESA 2010 code: S11). Indicator described is calculated on the basis of quarterly sector accounts data by institutional sectors. Sector accounts are compiled in accordance with European System of Accounts (ESA 2010). Data are expressed in percentage, in non-seasonal adjusted as well as in seasonal and calendar adjusted form.
    • 4月 2019
      ソース: Inter-American Development Bank
      アップロード者: Knoema
      以下でアクセス: 26 6月, 2019
      データセットを選択
      Public Debt around the World
    • 7月 2023
      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: 27 7月, 2023
      データセットを選択
      OECD National Account Statistics are based on the System of National of Accounts (SNA), a set of internationally agreed concepts, definitions, classifications and rules for national accounting. Using SNA terminology, general government revenue consists of central, state and local governments, and social security funds. State government is only applicable to the nine OECD member countries that are federal states: Australia, Austria, Belgium, Canada, Germany, Mexico, Spain (considered a de facto federal state in the National Accounts data), Switzerland and the United States. Revenues encompass social contributions (e.g. contributions for pensions, health and social security), taxes other than social contributions (e.g. taxes on consumption, income, wealth, property and capital), and grants and other revenues. Grants can be from foreign governments, international organizations or other general government units. Other revenues include sales, fees, property income and subsidies. The aggregates presented (taxes other than social contributions, social contributions, and grants and other revenues) are not directly available in the OECD National Accounts, and were constructed using sub-account line items.
    • 11月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 11月, 2023
      データセットを選択
  • Q
    • 1月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 1月, 2024
      データセットを選択
      The data correspond to quarterly financial accounts for the general government sector and follows the ESA2010 methodology. The data covers financial transactions and balance sheet items for general government (consolidated and non-consolidated) and its subsectors. This includes a number of financial instruments (F.1, F.2, F.3, F.4, ...) as well as some balancing items such as net financial transactions, net financial worth and net financial assets and liabilties. Data are available in million of euro, million of national currency (average exchange rates are used for transactions and end of period exchange rates are used for stocks) and as a percentage of GDP (for transactions quarterly GDP is used; for stocks a rolling sum of the last four quarters is used). In the table gov_10a_ggfa, annualised quarterly financial accounts for general government are presented. For financial transactions, data is summed over the four quarters of each year. For the conversion from national currency into euro, the yearly average exchange rate is used. For balance sheet items (stocks), the annualised data corresponds to the data of the fourth quarter. The percentage of GDP data of annualised data uses annual GDP transmitted by the Member States. In the course of the annualisation, small rounding differences may be amplified. Geographic coverage: EU and euro area. Main data sources are the tables provided according to the European Parliament and Council Regulation (EU) N° 549/2013 of 21 May 2013 (OJ No L174/1).
    • 8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
    • 3月 2024
      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: 25 3月, 2024
      データセットを選択
      The OECD's quarterly national accounts (QNA) dataset presents data collected from all the OECD member countries and some other major economies on the basis of a standardised questionnaire. It contains a wide selection of generally seasonally adjusted quarterly series most widely used for economic analysis from 1960 or whenever available:
    • 9月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 10月, 2016
      データセットを選択
    • 2月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 2月, 2016
      データセットを選択
    • 2月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 20 2月, 2016
      データセットを選択
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 06 3月, 2024
      データセットを選択
      The data correspond to quarterly non-financial accounts for the general government sector which are conceptually consistent with the corresponding annual data compiled on a national accounts (ESA2010) basis. The data sets contain quarterly general government total expenditure and total revenue figures, as well as their breakdowns by relevant categories and the resulting quarterly government deficit/surplus.
  • R
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The adjusted gross disposable income of households per capita in PPS is calculated as the adjusted gross disposable income of households and Non-Profit Institutions Serving Households (NPISH) divided by the purchasing power parities (PPP) of the actual individual consumption of households and by the total resident population.
    • 3月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 29 3月, 2018
      データセットを選択
      The REER (or Relative price and cost indicators) aim to assess a country's (or currency area's) price or cost competitiveness relative to its principal competitors in international markets. Changes in cost and price competitiveness depend not only on exchange rate movements but also on cost and price trends. The specific REER for the Sustainable Development Indicators is deflated by nominal unit labour costs (total economy) against a panel of 37 countries (= EU28 + 9 other industrial countries: Australia, Canada, United States, Japan, Norway, New Zealand, Mexico, Switzerland, and Turkey). Double export weights are used to calculate REERs, reflecting not only competition in the home markets of the various competitors, but also competition in export markets elsewhere. A rise in the index means a loss of competitiveness.
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 3月, 2024
      データセットを選択
      The REER (or Relative price and cost indicators) aim to assess a country's (or currency area's) price or cost competitiveness relative to its principal competitors in international markets. Changes in cost and price competitiveness depend not only on exchange rate movements but also on cost and price trends. The indicator is deflated by the price index (total economy) against a panel of 42 countries (= EU27+ 15 other industrial countries: Australia, Canada, United States, Japan, Norway, New Zealand, Mexico, Switzerland, UK, Turkey, Russia, China, Brazil, South Korea and Hong Kong). Double export weights are used to calculate REERs, reflecting not only competition in the home markets of the various competitors, but also competition in export markets elsewhere. A rise in the index means a loss of competitiveness. Data source: Directorate General for Economic and Financial Affairs (DG ECFIN). Data are non-seasonal adjusted.
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 3月, 2024
      データセットを選択
      Real effective exchange rate (REER) aims to assess a country's price or cost competitiveness relative to its principal competitors in international markets. Changes in cost and price competitiveness depend not only on exchange rate movements but also on cost and price trends. The specific REER for the Macroeconomic Imbalances Procedure is deflated by the consumer price indices relative to a panel of 42 countries (double export weights are used to calculate REERs, reflecting not only competition in the home markets of the various competitors, but also competition in export markets elsewhere). The data are expressed as index with base year 2010.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Gross domestic product (GDP) is a measure of the economic activity, defined as the value of all goods and services produced less the value of any goods or services used in their creation. The calculation of the annual growth rate of GDP volume is intended to allow comparisons of the dynamics of economic development both over time and between economies of different sizes. For measuring the growth rate of GDP in terms of volumes, the GDP at current prices are valued in the prices of the previous year and the thus computed volume changes are imposed on the level of a reference year; this is called a chain-linked series. Accordingly, price movements will not inflate the growth rate.
    • 4月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2018
      データセットを選択
      20.1. Source data
    • 7月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 10月, 2015
      データセットを選択
      Eurostat Dataset Id:nama_r_e2grgdp National accounts are a coherent and consistent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making. Eurostat publishes annual and quarterly national accounts, annual and quarterly sector accounts as well as supply, use and input-output tables, which are each presented with associated metadata. Annual national accounts are compiled in accordance with the European System of Accounts - ESA 1995 (Council Regulation 2223/96). Annex B of the Regulation consists of a comprehensive list of the variables to be transmitted for Community purposes within specified time limits. This transmission programme has been updated by Regulation (EC) N° 1392/2007 of the European Parliament and of the Council. Meanwhile, the ESA95 has been reviewed to bring national accounts in the European Union, in line with new economic environment, advances in methodological research and needs of users and the updated national accounts framework at the international level, the SNA 2008. The revisions are reflected in an updated Regulation of the European Parliament and of the Council on the European system of national and regional accounts in the European Union of 2010 (ESA 2010). The associated transmission programme is also updated and data transmissions in accordance with ESA 2010 are compulsory from September 2014 onwards. Further information on the transition from ESA 95 to ESA 2010 is presented on the Eurostat website. The domain consists of the following collections: GDP and main aggregates. The data are recorded at current and constant prices and include the corresponding implicit price indices. Final consumption aggregates, including the split into household and government consumption. The data are recorded at current and constant prices and include the corresponding implicit price indices. Income, saving and net lending / net borrowing at current prices. Disposable income is also shown in real terms. Exports and imports by Member States of the EU/third countries. The data are recorded at current and constant prices and include the corresponding implicit price indices. Breakdowns of gross value added, compensation of employees, wages and salaries, operating surplus, employment (domestic scope), gross fixed capital formation (GFCF) and fixed assets and other main aggregates by industry; investment by products and household final consumption expenditure by consumption purposes (COICOP). The data are recorded at current and constant prices and include the corresponding implicit price indices. Auxiliary indicators: Population and employment national data, purchasing power parities, contributions to GDP growth, labour productivity, unit labour cost and GDP per capita. Geographical entities covered are the European Union, the euro area, EU Member States, Candidate Countries, EFTA countries, US, Japan and possibly other countries on an ad-hoc basis. The data are published: - in ECU/euro, in national currencies (including euro converted from former national currencies using the irrevocably fixed rate for all years) and in Purchasing Power Standards (PPS); - at current prices and in volume terms; - Population and employment are measured in persons. Employment is also measured in total hours worked. Data sources: National Statistical Institutes
    • 7月 2023
      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: 19 7月, 2023
      データセットを選択
      The Regional database contains annual data from 1995 to the most recent available year (generally 2018 for demographic and labor market data, 2017 for regional accounts, innovation and social statistics). The data collection is undertaken by the Center for Entrepreneurship, SMEs, Regions and Cities (CFE). Statistics are collected through an annual questionnaire sent to the delegates of the Working Party on Territorial Indicators (WPTI), and via downloads from the web-sites of National Statistical Offices and Eurostat
    • 2月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 21 2月, 2024
      データセットを選択
      GDP (gross domestic product) is an indicator of the output of a country or a region. It reflects the total value of all goods and services produced less the value of goods and services used for intermediate consumption in their production. Expressing GDP in PPS (purchasing power standards) eliminates differences in price levels between countries. Calculations on a per inhabitant basis allow for the comparison of economies and regions significantly different in absolute size. GDP per inhabitant in PPS is the key variable for determining the eligibility of NUTS 2 regions in the framework of the European Union's structural policy.
    • 2月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 21 2月, 2024
      データセットを選択
      GDP (gross domestic product) is an indicator of the output of a country or a region. It reflects the total value of all goods and services produced less the value of goods and services used for intermediate consumption in their production. Expressing GDP in PPS (purchasing power standards) eliminates differences in price levels between countries. Calculations on a per inhabitant basis allow for the comparison of economies and regions significantly different in absolute size. GDP per inhabitant in PPS is the key variable for determining the eligibility of NUTS 2 regions in the framework of the European Union's structural policy.
    • 2月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 21 2月, 2024
      データセットを選択
      GDP (gross domestic product) is an indicator of the output of a country or a region. It reflects the total value of all goods and services produced less the value of goods and services used for intermediate consumption in their production. Expressing GDP in PPS (purchasing power standards) eliminates differences in price levels between countries. Calculations on a per inhabitant basis allow for the comparison of economies and regions significantly different in absolute size. GDP per inhabitant in PPS is the key variable for determining the eligibility of NUTS 2 regions in the framework of the European Union's structural policy.
    • 2月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 21 2月, 2024
      データセットを選択
      GDP (gross domestic product) is an indicator of the output of a country or a region. It reflects the total value of all goods and services produced less the value of goods and services used for intermediate consumption in their production. Expressing GDP in PPS (purchasing power standards) eliminates differences in price levels between countries. Calculations on a per inhabitant basis allow for the comparison of economies and regions significantly different in absolute size. GDP per inhabitant in PPS is the key variable for determining the eligibility of NUTS 2 regions in the framework of the European Union's structural policy.
    • 2月 2024
      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: 01 2月, 2024
      データセットを選択
      The Registered Unemployment and Job Vacancies dataset is a subset of the Short-Term Labour Situation database, which contains predominantly monthly statistics, and associated statistical methodological information, for the 34 OECD member countries and for selected other economies. There are basically two sources for unemployment statistics: labour force surveys and administrative data. Surveys are based on standard methodology and procedures used all over the world while administrative data are subject to national legislations which evolve through time. Consequently registered unemployment data are not comparable across countries. The relationship between survey and registered unemployment is not the same for all countries. Number of registered unemployed persons and registered unemployment rates are presented here because they are monthly and quickly available after their reference period. The job vacancies data provides estimates of the number of unfilled job vacancies across national economies. Series give an indication of the labour demand while the unemployment is linked with the labour supply.
    • 7月 2023
      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 7月, 2023
      データセットを選択
      The OECD cross-section sectoral indicators measure regulatory conditions in the professional services and retail distribution sectors. The retail indicators cover barriers to entry, operational restrictions, and price controls. These indicators were updated and revised; they are now estimated for 34 OECD countries for the years 1998, 2003, around 2008 and 2013 and for another set of non-OECD countries for 2013. Users of the data must be aware that they may no longer fully reflect the current situation in fast reforming countries. Not all data are available for all countries for all years.
    • 9月 2023
      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 9月, 2023
      データセットを選択
    • 11月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 11月, 2023
      データセットを選択
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Residential Construction tracks the actual construction (not sales) of housing and is part of Gross fixed capital formation. GFCF consists of resident producers' acquisitions, less disposals, of fixed assets during a given period plus certain additions to the value of non-produced assets realised by the productive activity of producer or institutional units. The GDP used in denominator of the MIP indicator comes from the ESA 2010 transmission programme.
    • 7月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 04 7月, 2022
      データセットを選択
      The indicator is defined as the gross domestic product (GDP) divided by domestic material consumption (DMC). DMC measures the total amount of materials directly used by an economy. It is defined as the annual quantity of raw materials extracted from the domestic territory of the local economy, plus all physical imports minus all physical exports. It is important to note that the term 'consumption', as used in DMC, denotes apparent consumption and not final consumption. DMC does not include upstream flows related to imports and exports of raw materials and products originating outside of the local economy.
    • 9月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 27 9月, 2023
      データセットを選択
      This metadata refers to two datasets based one and the same data collection:Material flow accounts (env_ac_mfa): detailed material input flows into the national economy (in tonnes)Resource productivity (env_ac_rp): various ratios of gross domestic product (GDP) over domestic material consumption (DMC)   1. Economy-wide material flow accounts (EW-MFA) compile material flow inputs into national economies. EW-MFA cover all solid, gaseous, and liquid material inputs, except for water and air, measured in mass units per year. Like the system of national accounts, EW-MFA constitute a multi-purpose information system. The detailed material flows provide a rich empirical database for numerous analytical purposes. Further, EW-MFA are used to derive various material flow indicators such as:Domestic extraction (DE): total amount of material extracted for further processing in the economy, by resident units from the natural environment;Imports (IMP): imports of products in their simple mass weight;Direct material input (DMI): measures the direct input of material into the economy; it includes all materials which are of economic value and which are availble for use in production and consumption activities (DE+IMP);Exports (EXP): exports of products in their simple mass weight;Domestic material consumption (DMC): measures the total amount of material actually consumed domestically by resident units (DE+IMP-EXP). Note: IMP and EXP are distinguished into extra-EU-trade and total trade.   2. Resource productivity (GDP/DMC) is defined as the ratio of gross domestic product (GDP) over domestic material consumption (DMC) and commonly expressed in Euro per kilogram of material. The data set env_ac_rp employs different types of GDP for calculating this ratio, depending on the analytical perspective (see item 4). The term designates an indicator that reflects the GDP generated per unit of resources used by the economy. This is typically a macro-economic concept that can be presented alongside labour or capital productivity.
    • 3月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 01 4月, 2018
      データセットを選択
      20.1. Source data
    • 3月 2011
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 8月, 2015
      データセットを選択
      Eurostat Dataset Id:ei_bsrt_m Six qualitative surveys are conducted on a monthly basis in the following areas: manufacturing industry, construction, consumers, retail trade, services and financial services. Some additional questions are asked on a quarterly basis in the surveys in industry, services, financial services, construction and among consumers. In addition, a survey is conducted twice a year on Investment in the manufacturing sector. The domain consists of a selection for variables from the following type of survey: Industry monthly questions for: production, employment expectations, order-book levels, stocks of finished products and selling price. Industry quarterly questions for:production capacity, order-books, new orders, export expectations, capacity utilization, Competitive position and factors limiting the production. Construction monthly questions for: trend of activity, order books, employment expectations, price expectations and factors limiting building activity. Construction quarterly questions for: operating time ensured by current backlog. Retail sales monthly questions for: business situation, stocks of goods, orders placed with suppliers and firm's employment. Services monthly questions for: business climate, evolution of demand, evolution of employment and selling prices. Services quarterly question for: factors limiting their business Consumer monthly questions for: financial situation, general economic situation, price trends, unemployment, major purchases and savings. Consumer quarterly questions for: intention to buy a car, purchase or build a home, home improvements. Financial services monthly questions for: business situation, evolution of demand and employment Financial services quarterly questions for: operating income, operating expenses, profitability of the company, capital expenditure and competitive position Monthly Confidence Indicators are computed for industry, services, construction, retail trade, consumers (at country level, EU and euro area level) and financial services (EU and euro area). An Economic Sentiment indicator (ESI) is calculated based on a selection of questions from industry, services, construction, retail trade and consumers at country level and aggregate level (EU and euro area). A monthly Euro-zone Business Climate Indicator is also available for industry. The data are published:as balance i.e. the difference between positive and negative answers (in percentage points of total answers)as indexas confidence indicators (arithmetic average of balances),at current level of capacity utilization (percentage)estimated months of production assured by orders (number of months)Unadjusted (NSA) and seasonally adjusted (SA)
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The financial flows and stocks data are reported quarterly to the European Central Bank. Once validated the data are transmitted to Eurostat.  Financial flows consist of transactions and other flows and represent  the difference between opening balance sheet  at the beginning of the year and closing balance sheet at the end of the year.  Â
  • S
    • 3月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 3月, 2018
      データセットを選択
    • 1月 2011
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 8月, 2015
      データセットを選択
      Six qualitative surveys are conducted on a monthly basis in the following areas: manufacturing industry, construction, consumers, retail trade, services and financial services. Some additional questions are asked on a quarterly basis in the surveys in industry, services, financial services, construction and among consumers. In addition, a survey is conducted twice a year on Investment in the manufacturing sector. The domain consists of a selection for variables from the following type of survey: Industry monthly questions for: production, employment expectations, order-book levels, stocks of finished products and selling price. Industry quarterly questions for:production capacity, order-books, new orders, export expectations, capacity utilization, Competitive position and factors limiting the production. Construction monthly questions for: trend of activity, order books, employment expectations, price expectations and factors limiting building activity. Construction quarterly questions for: operating time ensured by current backlog. Retail sales monthly questions for: business situation, stocks of goods, orders placed with suppliers and firm's employment. Services monthly questions for: business climate, evolution of demand, evolution of employment and selling prices. Services quarterly question for: factors limiting their business Consumer monthly questions for: financial situation, general economic situation, price trends, unemployment, major purchases and savings. Consumer quarterly questions for: intention to buy a car, purchase or build a home, home improvements. Financial services monthly questions for: business situation, evolution of demand and employment Financial services quarterly questions for: operating income, operating expenses, profitability of the company, capital expenditure and competitive position Monthly Confidence Indicators are computed for industry, services, construction, retail trade, consumers (at country level, EU and euro area level) and financial services (EU and euro area). An Economic Sentiment indicator (ESI) is calculated based on a selection of questions from industry, services, construction, retail trade and consumers at country level and aggregate level (EU and euro area). A monthly Euro-zone Business Climate Indicator is also available for industry. The data are published:as balance i.e. the difference between positive and negative answers (in percentage points of total answers)as indexas confidence indicators (arithmetic average of balances),at current level of capacity utilization (percentage)estimated months of production assured by orders (number of months)Unadjusted (NSA) and seasonally adjusted (SA)
    • 1月 2018
      ソース: International Monetary Fund
      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
    • 1月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 31 1月, 2024
      データセットを選択
      Data on Government Budget Appropriations or Outlays on Research and Development (GBAORD) refer to budget provisions, not to actual expenditure, i.e. GBAORD measures government support for R&D using data collected from budgets. This table shows the shares of GBAORD allocated to the socio-economic objectives defence and total civil R&D.
    • 10月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 25 10月, 2023
      データセットを選択
      The indicator shows developments in shares of exports of goods and services of EU Member States in relation to total exports of goods and services of OECD countries. To capture the structural losses in competitiveness that can accumulate over longer time periods is calculated the 5 year % change (comparing year Y with year Y-5). The data are presented as 5 year % change and as share of total exports of OECD countries. The indicator is based on the Balance of Payments data reported to Eurostat by the EU Member States, UK, Iceland, Norway and Turkey. Source of data for other non-EU countries is OECD.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      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 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      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.
    • 6月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 6月, 2023
      データセットを選択
      An interest rate is the cost or price of borrowing, or the gain from lending, normally expressed as an annual percentage amount. Day-to-day money refers to deposits or loans on the money market with a maturity of one business day.
    • 6月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 6月, 2023
      データセットを選択
      An interest rate is the cost or price of borrowing, or the gain from lending, normally expressed as an annual percentage amount. Three-month interbank rates apply to deposits or loans between banks with an original maturity of three months.
    • 2月 2024
      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 2月, 2024
      データセットを選択
      The Short-Term Labour Market Statistics dataset contains predominantly quarterly labour statistics, and associated statistical methodological information, for the 35 OECD member countries and selected other economies. The Short-Term Labour Market Statistics dataset covers countries that compile labour statistics from sample household surveys on a monthly or quarterly basis. It is widely accepted that household surveys are the best source for labour market key statistics. In such surveys, information is collected from people living in households through a representative sample and the surveys are based on standard methodology and procedures used internationally. The subjects available cover: working age population by age; active and inactive labour force by age; employment by economic activity, by working time and by status; and, unemployment (including monthly harmonised unemployment) by age and by duration. Data is expressed in levels (thousands of persons) or rates (e.g. employment rate) where applicable.   Data are based on Labour Force Surveys and national information in this dataset is directly collected from the following sources:   ABS - Australian Bureau of Statistics (Australia) Statistics Canada (Canada) INE - Instituto Nacional de Estadísticas (Chile) CBS – Central Bureau of Statistics (Israel) Statistics Bureau (Japan) Statistics Korea (Korea) INEGI - Instituto Nacional de Estadísticas y Geografía (Mexico) Statistics New Zealand (New Zealand) BLS - Bureau of Labor Statistics (the United States) Eurostat (Austria, Belgium, the Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Latvia, Luxembourg, the Netherlands, Norway, Poland, Portugal, the Slovak Republic, Slovenia, Spain, Sweden, Switzerland, Turkey and the United Kingdom).
    • 1月 2015
      ソース: Johannes Kepler University
      アップロード者: Knoema
      以下でアクセス: 18 10月, 2016
      データセットを選択
      Data citation: Schneider, Friedrich & Schneider, Friedrich. (2013). Size and Development of the Shadow Economy of 31 European and 5 other OECD Countries from 2003 to 2012: Some New Facts.  The calculation of the size and development of the shadow economy is done with the MIMIC (Multiple Indicators and Multiple Courses) estimation procedure. Using the MIMIC estimation procedure one gets only relative values and one needs other methods like the currency demand approach or the income discrepancy method, to calibrate the MIMIC values into absolute ones. The calculated values for 2014 are projections for some countries, for 2015 they are projections for all countries, based on the forecasts of the official figures (GDP, unemployment, etc.) of these countries.
    • 2月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 2月, 2023
      データセットを選択
      Social benefits (other than social transfers in kind) paid by government (ESA 2010 code D.62) are transfers to households, in cash or in kind, intended to relieve them from financial burden of a number of risks or needs (by convention: sickness, invalidity, disability, occupational accident or disease, old age, survivors, maternity, family, promotion of employment, unemployment, housing, education and general neediness), made through collective schemes, or outside such schemes by government units.
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 29 3月, 2024
      データセットを選択
      Social benefits consist of transfers, in cash or in kind, by social protection schemes to households and individuals to relieve them of the burden of a defined set of risks or needs. The functions (or risks) are: sickness/healthcare, disability, old age, survivors, family/children, unemployment, housing, social exclusion not elsewhere classified (n.e.c).
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 29 3月, 2024
      データセットを選択
      Social benefits consist of transfers, in cash or in kind, by social protection schemes to households and individuals to relieve them of the burden of a defined set of risks or needs.
    • 1月 2015
      ソース: Deutsche Bank Research
      アップロード者: Knoema
      以下でアクセス: 06 1月, 2015
      データセットを選択
      CDS-implied sovereign default probabilities for various recovery rate assumptions computed by Deutsche Bank Research Team from CDS spreads. For more information about computation consult DB Research notes
    • 7月 2023
      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 7月, 2023
      データセットを選択
      Recommended uses and limitations of STAN It is recommended that STAN is primarily used for broad analyses, particularly at the detailed level where many of the data points are estimated. For example, looking at trends or average growth rates and shares over a few years or general modelling. This also applies to any indicators that may be calculated (see Annex. 2 in the full documentation for examples). Where the data points are official National Accounts (often at more aggregate industry levels) there is more scope for precise analyses such as looking at year-on-year growth rates. STAN is based on data that Member countries provide. Detailed data collections independent of national statistical offices are not performed. In other words, we do not have the scope to build up National Accounts compatible tables from detailed data using consistent methodologies across countries. Therefore, when comparing variables or indicators across countries, users should refer to the STAN country notes to check for industry inclusions and variable definitions. Some comprises may be necessary in terms of the level of detail analysed.
    • 4月 2024
      ソース: Investing.com
      アップロード者: Knoema
      以下でアクセス: 03 4月, 2024
      データセットを選択
      Stock Market Performance Indices
    • 11月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 01 12月, 2017
      データセットを選択
      Eurostat uses as a base for its work the OECD Benchmark Definition of Foreign Direct Investment Third Edition, a detailed operational definition fully consistent with the IMF Balance of Payments Manual, Fifth Edition, BPM5. Foreign direct investment (FDI) is the category of international investment made by an entity resident in one economy (direct investor) to acquire a lasting interest in an enterprise operating in another economy (direct investment enterprise). The lasting interest is deemed to exist if the direct investor acquires at least 10% of the voting power of the direct investment enterprise. FDI statistics record separately: 1) Inward FDI (or FDI in the reporting economy), namely investment by foreigners in enterprises resident in the reporting economy. 2) Outward FDI (or FDIabroad), namely investment by residents entities in affiliated enterprises abroad. FDI statistics record both the initial investment and all subsequent investment made by the direct investor, either in the form of equity capital, or in the form of loans, or in the form of reinvesting earnings. Investment made through other affiliated enterprises of the same group of the direct investor should also be recorded according to the international methodology. There are three main indicators: FDI flows, stocks and income. The indicators described in more detail below are presented in the complete tables with a breakdown by partner country or region and a breakdown by the kind of activity in which FDI is made. In the table called "Main indicators" there is a reduced breakdown by partners and data for total activity only. See the part on classification system for more detail. See also the User's guideon the structure on the database and for practical information on data downloading. 1) FDI flows denote the new investment made during the period. FDI flows are recorded in the Balance of Payments financial account. Total FDI flows are broken down by kind of instrument used for making the investment: Equity capital comprises equity in branches, all shares in subsidiaries and associates (except non-participating, preferred shares that are treated as debt securities and are included under other FDI capital) and other contributions such as the provision of machinery. Reinvested earnings consist of the direct investor's share (in proportion to equity participation) of earnings not distributed by the direct investment enterprise. Reinvested earnings are an imputed transaction. Reinvested earnings are also recorded with opposite sign among FDI income (see below). This recording represents not distributed income as being earned by the direct investor and reinvested in the direct investment enterprise at the same time. Other FDI capital (loans) covers the borrowing and lending of funds, including debt securities and trade credits between direct investors and direct investment enterprises. Debt transactions between affiliated financial intermediaries recorded under direct investment flows are limited to permanent debt. 2) FDI stocks (or positions) denote the value of the investment at the end of the period. FDI stocks are recorded in the International Investment Position. Outward FDI stocks are recorded as assets of the reporting economy, inward FDI stocks as liabilities. Similarly with flows, FDI stocks are broken down by kind of instrument. However, there are only two categories instead of three: Equity capital and reinvested earnings is the value of the own capital of the enterprise, including the value of own reserves that are accumulated from past reinvested earnings. Reserves corresponding to reinvested earnings are not shown separately from other equity capital as in the case of flows. Other FDI capital is the stock of debts (assets or liabilities) between the direct investors and the direct investment enterprise. 3) FDI income is the income accruing to direct investors during the period. FDI income is recorded in the current account of the Balance of Payments. Total FDI income is broken down by kind of income. The categories of FDI income available are linked to the breakdown of FDI flows and stocks by kind of instrument, namely: Dividends Dividends payable in the period and branch profits remitted to the direct investor, gross of any withholding taxes. Dividends include payments due on common and preferred shares. Reinvested earnings See definition under FDI flows. Interest on loans Interest accrued in the period on loans (other FDI capital) with affiliated enterprises, gross of any withholding tax. 4) FDI intensity Out of FDI annual data, an indicator useful to measure EU market integration is also calculated and disseminated in the domain Structural Indicators: FDI intensity as % of GDP: Average of inward and outward FDI flows divided by GDP. A higher index indicates higher new FDI during the period in relation to the size of the economy as measured by GDP. If this index increases over time, then the country/zone is becoming more integrated with the international economy.
    • 9月 2023
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Raviraj Mahendran
      以下でアクセス: 14 9月, 2023
      データセットを選択
      The subnational government finance dataset presents data on the institutional organisation at local and regional levels as well as on public finance. Financial data cover the general government sector and subnational government subsector (state and local government levels) in the 35 OECD member countries and in the EU. Four main dimensions are presented: expenditure (including investment), revenue, budget balance and debt. The dataset is released as a beta version. Data at country level are derived mainly from the OECD National Accounts harmonised according to the new standards of the System of National Accounts (SNA) 2008, implemented by most OECD countries since December 2014. They are complemented by data from Eurostat, IMF (Australia, Chile), and national statistical institutes for some countries or indicators (in particular, territorial organisation). Data were extracted in February 2017 and are from 2015, unless otherwise specified
  • T
    • 10月 2023
      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, 2023
      データセットを選択
      Because of the limited availability of official statistics on national supply-use and input-output tables in recent years – reflecting the fact that these are only typically available at best two or three years after the reference period to which they refer – TiVA indicators for the most recent years, as displayed in this dataset, are estimated using now-casting techniques. The approach (described in more detail in the accompanying methodological note) in essence estimates national input-output tables by projecting relationships observed in the latest TiVA benchmark year (currently 2011) into nowcast years (currently 2012-2014) but constrained to official estimates of gross output and value-added by industry and national accounts main aggregates of demand and trade, and supplemented by bilateral trade statistics, all of which are available throughout the nowcast period. Importantly, the projections of relationships in 2011 into 2012 are determined using a volume approach, to account for possible distortions that might be introduced – by for example differential price movements in imports and domestic production – if projections were made using nominal relationships. These estimates are then reflated into current prices, and simultaneously balanced – consistent with official volume and current price estimates of trade, demand and activity – to arrive at a balanced national input-output table in 2012, in nominal terms as well as in prices of 2011. Estimates for 2013 and 2014 are calculated in the same manner but using, respectively, the 2012 and 2013 relationships as the starting point.
    • 5月 2023
      ソース: Conference Board
      アップロード者: Knoema
      以下でアクセス: 22 11月, 2023
      データセットを選択
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      データセットを選択
      The total financial sector liabilities measures the evolution of the sum of all liabilities (which includes Currency and deposits, Debt securities, Loans, Equity and investment fund shares/units, Insurance, pensions and standardised guarantee schemes, Financial derivatives and employee stock options and Other accounts payable) of the financial corporations sector. Data are presented in consolidated terms (i.e. data do not take into account transactions within the same sector), in % of GDP and by instruments.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      データセットを選択
      The total financial sector liabilities measures the evolution of the sum of all liabilities (which includes Currency and deposits, Debt securities, Loans, Equity and investment fund shares/units, Insurance, pensions and standardised guarantee schemes, Financial derivatives and employee stock options and Other accounts payable) of the financial corporations sector. Data are presented in consolidated terms (i.e. data do not take into account transactions within the same sector), in Million units of national currency and by instruments.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      データセットを選択
      The total financial sector liabilities measures the evolution of the sum of all liabilities (which includes Currency and deposits, Debt securities, Loans, Equity and investment fund shares/units, Insurance, pensions and standardised guarantee schemes, Financial derivatives and employee stock options and Other accounts payable) of the financial corporations sector. Data are presented in non-consolidated terms (i.e. data take into account transactions within the same sector), in % of GDP and by instruments.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      データセットを選択
      The total financial sector liabilities measures the evolution of the sum of all liabilities (which includes Currency and deposits, Debt securities, Loans, Equity and investment fund shares/units, Insurance, pensions and standardised guarantee schemes, Financial derivatives and employee stock options and Other accounts payable) of the financial corporations sector. Data are presented in non-consolidated terms (i.e. data take into account transactions within the same sector), in Million units of national currency and by instruments.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      データセットを選択
      The total financial sector liabilities measures the evolution of the sum of all liabilities (which includes Currency and deposits, Debt securities, Loans, Equity and investment fund shares/units, Insurance, pensions and standardised guarantee schemes, Financial derivatives and employee stock options and Other accounts payable) of the financial corporations sector. Data are presented in consolidated terms (i.e. data do not take into account transactions within the same sector), in % of GDP and for the sub-sectors: Central bank; Deposit-taking corporations except the central bank; MMF; Non-MMF investment funds; Other financial intermediaries, except insurance corporations and pension funds; Financial auxiliaries; Captive financial institutions and money lenders; Insurance corporations and Pension funds.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      データセットを選択
      The total financial corporations sector liabilities measures the evolution of the sum of all liabilities (which includes Currency and deposits, Debt securities, Loans, Equity and investment fund shares/units, Insurance, pensions and standardised guarantee schemes, Financial derivatives and employee stock options and Other accounts payable) of the financial corporations sector. Data are presented in consolidated terms (i.e. data do not take into account transactions within the same sector), in Million units of national currency and for the sub-sectors: Central bank; Deposit-taking corporations except the central bank; MMF; Non-MMF investment funds; Other financial intermediaries, except insurance corporations and pension funds; Financial auxiliaries; Captive financial institutions and money lenders; Insurance corporations and Pension funds.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      データセットを選択
      The total financial sector liabilities measures the evolution of the sum of all liabilities (which includes Currency and deposits, Debt securities, Loans, Equity and investment fund shares/units, Insurance, pensions and standardised guarantee schemes, Financial derivatives and employee stock options and Other accounts payable) of the financial corporations sector. Data are presented in non-consolidated terms (i.e. data take into account transactions within the same sector), in % of GDP and for the sub-sectors: Central bank; Deposit-taking corporations except the central bank; MMF; Non-MMF investment funds; Other financial intermediaries, except insurance corporations and pension funds; Financial auxiliaries; Captive financial institutions and money lenders; Insurance corporations and Pension funds.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      データセットを選択
      The total financial sector liabilities measures the evolution of the sum of all liabilities (which includes Currency and deposits, Debt securities, Loans, Equity and investment fund shares/units, Insurance, pensions and standardised guarantee schemes, Financial derivatives and employee stock options and Other accounts payable) of the financial corporations sector. Data are presented in non-consolidated terms (i.e. data take into account transactions within the same sector), in million units of national currency and for the sub-sectors: Central bank; Deposit-taking corporations except the central bank; MMF; Non-MMF investment funds; Other financial intermediaries, except insurance corporations and pension funds; Financial auxiliaries; Captive financial institutions and money lenders; Insurance corporations and Pension funds.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      データセットを選択
      The total financial sector liabilities measures the evolution of the sum of all liabilities (which includes Currency and deposits, Debt securities, Loans, Equity and investment fund shares/units, Insurance, pensions and standardised guarantee schemes, Financial derivatives and employee stock options and Other accounts payable) of the financial corporations sector. The data are presented in consolidated terms, i.e. data do not take into account transactions within the same sector. The data are expressed as 1 year % change, % of GDP and in Million units of national currency.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      データセットを選択
      The total financial corporations sector liabilities measures the evolution of the sum of all liabilities (which includes Currency and deposits (F2), Debt securities (F3), Loans (F4), Equity and investment fund shares (F5), Insurance, pensions and standardised guarantees (F6), Financial derivatives and employee stock options (F7) and Other accounts payable (F8)) of the financial corporations sector (S12). Data are presented in non-consolidated terms, i.e. data take into account transactions within the same sector. Data are presented as 1 year % change, % of GDP and in Million units of national currency. Definitions regarding sectors and instruments are based on the ESA 2010. The MIP indicator is expressed as year over year growth rate, with an indicative threshold 16.5%. The headline indicator is calculated as 1 year % change.
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 3月, 2024
      データセットを選択
      Total general government expenditure is defined in ESA 2010 8.100 and chapter 20 by reference to a list of categories: intermediate consumption, gross capital formation, compensation of employees, other taxes on production, subsidies, payable property income, current taxes on income, wealth, etc., social benefits other than social transfers in kind, social transfers in kind - purchased market production, other current transfers, adjustments for the change in pension entitlements, capital transfers and acquisitions less disposals of non-financial non-produced assets.
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 3月, 2024
      データセットを選択
      Total general government revenue is defined in ESA 2010 8.100 and chapter 20 by reference to a list of categories: market output, output for own final use, payments for non-market output, taxes on production and imports, other subsidies on production, receivable property income, current taxes on income, wealth, etc., net social contributions, other current transfers and capital transfers.
    • 11月 2011
      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
      This collection provides users with data concerning R&D expenditure and R&D personnel broken down by following institutional sectors: business enterprise (BES), government (GOV), higher education (HES), private non-profit (PNP) with the total of sectors. All data are broken down by the above mentioned sectors of performance. The R&D expenditure is further broken down by source of funds, by type of costs, by economic activity (NACE Rev.2), by size class, by type of R&D, by fields of science, by socio-economic objectives and by regions (NUTS 2 level). Besides R&D expenditures in basic unit National currency (MIO_NAC) the following units are available: Euro (MIO_EUR), Euro per inhabitant (EUR_HAB) Purchasing Power Standard (MIO_PPS), Purchasing Power Standard at 2005 prices (MIO_PPS_KP05), Purchasing Power Standard per inhabitant at constant 2005 prices (PPS_KP05_HAB), Percentage of GDP (PC_GDP) and Percentage of total R&D expenditure (PC_TOT - for the breakdown by source of funds). R&D personnel data is available in full-time equivalent (FTE), in head count (HC), as a % of employment and as a % of labour force. The data is further broken down by occupation, by qualification, by gender, by size class, by citizenship, by age groups, by fields of science, by economic activity (NACE Rev.2) and by regions (NUTS 2 level). The periodicity of R&D data is biennial except for the key R&D indicators (R&D expenditure, R&D personnel and Researchers by sectors of performance) which are transmitted annually by the EU Member States on the basis of a legal obligation from 2003 onwards. Some other breakdowns of the data may appear on annual basis based on voluntary data provisions. The data are collected through sample or census surveys, from administrative registers or through a combination of sources. R&D data are available for following countries and country groups: - All EU Member States, plus Candidate Countries, EFTA Countries, the Russian Federation, China, Japan, the United States and South Korea. - Country groups: EU-28, EU-15 and EA-18. R&D data are compiled in accordance to the guidelines laid down in the Proposed standard practice for surveys of research and experimental development - Frascati Manual (FM), OECD, 2002 .
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 04 4月, 2024
      データセットを選択
      International trade in goods statistics are an important data source for many public and private sector decision-makers at international, European Union and national level. For example, at the European Union level, international trade data are extensively used for multilateral and bilateral negotiations within the framework of the common commercial policy, to define and implement anti-dumping policy, to evaluate the progress of the Single Market and many other policies. Moreover, they constitute an essential source for the compilation of balance of payments statistics and national accounts. International trade in goods statistics cover both extra- and intra-EU trade: Extra-EU trade statistics cover the trading of goods between Member States and a non-member countries. Intra-EU trade statistics cover the trading of goods between Member States. "Goods" means all movable property including electricity. Detailed and aggregated data are published for the Euro area, the European Union and for each Member State separately. Main components: Data record the monthly trade between Member States in terms of arrivals and dispatches of goods as well as the monthly trade in terms of imports and exports between Member States and non-member countries. However, in publications only the term “exports” for all outward flows and “imports” for all inward flows are applied for both intra-EU trade and extra-EU trade. Extra-EU trade imports and exports are recorded in the Member State where the goods are placed under the customs procedures. Extra-EU trade statistics do not record goods in transit, goods placed into customs warehouses or goods for temporary admission. Data sources: The statistical information is mainly provided by the traders on the basis of Customs (extra-EU) and Intrastat (intra-EU) declarations. Data are collected by the competent national authorities of the Member States and compiled according to a harmonised methodology established by EU regulations before transmission to Eurostat. Classification systems: - Product classification: For detailed data, products are disseminated according to the Combined Nomenclature (CN8), which first six digit codes coincide with the Harmonized Commodity Description and Coding System (HS), products are disseminated as well according to the Standard International Trade Classification (SITC) and the Broad Economic Categories (BEC). - Country classification: The Geonomenclature is used for classifying reporting countries and trading partners. Nomenclatures and correspondence tables are available at the Eurostat’s classification server RAMON. The following basic information is provided by Eurostat: - reporting country, - reference period, - trade flow, - product, - trading partner - mode of transport. Detailed data are disseminated according to the Combined Nomenclature (HS2, HS4, HS6 and CN8 levels) for the following indicators: - trade value (in Euro), - trade quantity in 100 kg, - trade quantity in supplementary units (published for some goods according to the Combined Nomenclature). Aggregated data cover both short and long term indicators. Short term indicators are disseminated according to major SITC and BEC groups for the following indicators: - gross and seasonally adjusted trade value (in million Euro), - unit-value indices, - gross and seasonally adjusted volume indices, - growth rates of trade values and indices. Long term indicators are disseminated according to major SITC groups for the following indicators: - trade value (in billion Euro), - shares of Member States in EU and world trade, - shares of main trading partners in EU trade, - volume indices. Adjustments are applied by the Member States to compensate the impact of exemption thresholds, which release the information providers from statistical formalities, as well as, to take into account the late or not response of the providers. In addition, Eurostat applies seasonal adjustments to aggregated time series.
    • 8月 2022
      ソース: Agency for Statistics of Bosnia and Herzegovina
      アップロード者: Felix Maru
      以下でアクセス: 14 9月, 2022
      データセットを選択
      Trade Statistics of Bosnia and Herzegovina
    • 10月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 23 10月, 2023
      データセットを選択
      Government Finance Statistics (GFS) form the basis for fiscal monitoring in Europe, most notably for the statistics related to the Excessive Deficit Procedure (EDP). The EDP is established in the Treaty and specified in the Stability and Growth Pact legislation. The Member States report data related to the EDP to the Commission (Eurostat) which, in turn, is responsible for providing the data to the Council. European GFS, including the statistics for the EDP, are produced in accordance with the European System of Accounts 2010 (ESA 2010), the EU manual for national accounts, which in September 2014 replaced the previous version of the national accounting framework ESA 95. It is supplemented by further interpretation and guidance from Eurostat, in particular the Manual on Government Deficit and Debt. Council Regulation 479/2009 as amended requires that Member States report government deficit/surplus (hereinafter deficit) and debt data related to the EDP twice per year: before 1 April and 1 October for the preceding four calendar years and a forecast for the current year. The data are reported in harmonised tables. These tables are designed specifically to provide a consistent framework, with a link to national budgetary aggregates and between the deficit and changes in the debt. They should be fully consistent with GFS data delivered to Eurostat in the ESA 2010 transmission programme. The EDP notification tables contain for general government and its sub sectors:Table 1: Summary table on deficit and debt, including auxiliary indicators (Gross Fixed Capital Formation, Interest and Gross Domestic Product - GDP)Tables 2A - 2D: Transition from the working balance to the deficit/surplus for general government sub sectorsTables 3A - 3E: Transition from the deficit/surplus to the change in debt for general government and its sub sectorsTable 4: Supplementary data. The data are presented in the Eurostat's Statistics Database in national currency, euro/ECU, and percentage of GDP. In order to reflect economic and technological developments and meet user needs, in September 2014 the new national accounting framework ESA 2010 replaced the previous framework ESA 95. This led to revisions of the time series for all Member States (please see Eurostat press release for the impact of the revisions on the government deficit and debt ratios). The main changes relate to the classification of certain entities into government and the treatment of transactions related to pension schemes. Also the concept of government deficit was changed as regards treatment of interest on swaps and forward rate agreements (Commission Regulation 220/2014 amending the Council Regulation 479/2009), according to which these flows are now recorded as financial transaction in line with the core ESA accounting framework.
    • 6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
      The “Business services statistics” (BS) collection contains harmonised statistics on business services. BS is a driver of the knowledge-based economy and their labour-intensive nature has attracted interest in their potential as providers of new jobs in the future. Contributing to the recent increase in the demand for business services, the growing trend in outsourcing has seen many enterprises use service providers for non-core professional activities. Technological progress and the Internet are also important factors which have provided new production possibilities and new modes of supply. Due to its growing importance, BS data are collected since 2000 reference year. The data were collected under Gentlemen agreement until 2007 reference year and from 2008 onwards it become part of the regular mandatory annual data collection of SBS. The BS’s data requirements before 2008 reference year included more variables, but data is available only for a small number of countries. The following variables are available until 2007 reference year: Number of enterprisesTurnover or gross premiums writtenValue added at factor costPersonnel costsNumber of persons employedNumber of employeesNumber of part-time employees The “Turnover or gross premiums written” variable is broken down by product and residence of client. In addition, there is information on the turnover shares of product and client specialised enterprises. The statistics on “Turnover by product” permits analyses on each product's relative importance in the turnover, consistency of product level statistics and product specialisation. On the other hand, information on “Turnover by client” enables analyses on type and location of client and client specialisation. The economic variables make it possible to extend the analysis to productivity and personnel cost issues. From 2008 onwards, the BS’s data requirements are only for variable “Turnover” broken down by products and by type of residence of client. The majority of the data is collected annually by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources.
    • 4月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 12月, 2015
      データセットを選択
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 14 4月, 2024
      データセットを選択
      Industry, Trade and Services statistics are part of Short-term statistics (STS), they give information on a wide range of economic activities according to NACE Rev.2 classification (Statistical Classification of Economic Activities in the European Community). The industrial import price indices offer information according to the CPA classification(Statistical Classification of Products by Activity in the European Economic Community). Construction indices are broken down by Classification of Types of Construction (CC). All data under this heading are index data. Percentage changes are also available for each indicator. The index data are presented in the following forms:UnadjustedCalendar adjustedSeasonally-adjusted Depending on the STS regulation, data are accessible monthly and quarterly. This heading covers the indicators listed below in four different sectors. Based on the national data, Eurostat compiles EU and euro area infra-annual economic statistics. Among these, a list of indicators, called Principal European Economic Indicators (PEEIs) has been identified by key users as being of prime importance for the conduct of monetary and economic policy of the euro area. These indicators are mainly released through Eurostat's website under the heading Euro-indicators. There are eight PEEIs contributed by STS and they are marked with * in the text below. INDUSTRYProduction Index*Turnover IndexProducer Prices (Domestic Output Prices index)*Import Prices Index*: Total, Euro area market, Non euro area market (euro area countries only)Labour Input Indicators: Number of Persons Employed, Hours Worked, Gross Wages and Salaries CONSTRUCTIONProduction Index*: Total of the construction sector, Building construction, Civil EngineeringLabour input indicators: Number of Persons Employed, Hours Worked, Gross Wages and SalariesConstruction costs IndexBuilding permits indicators*: Number of dwellings WHOLESALE AND RETAIL TRADEVolume of sales (deflated turnover)*Turnover (in value)Labour input indicators: Number of Persons Employed SERVICES Turnover Index*Producer prices (Ouput prices)*
    • 7月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 7月, 2023
      データセットを選択
    • 3月 2009
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 29 11月, 2015
      データセットを選択
      The Demand for services collection contains harmonised statistics on demand for services by enterprises in the non-financial business economy. The Demand for services collection includes the following variables: number of enterprises purchases of servicesservice related investments The demand side survey "demand for services" provides information on the functioning of the internal market for services, allowing a more profound understanding of the true extent of the use of services in the European economy. It provides information on service providers, types of service purchased, the location of the main service provider, barriers to purchasing services, the level of expectations for future purchases, as well as information on service related investments in intangibles (such as tradable rights, ICT, R&D, marketing and sales).
    • 3月 2009
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 29 11月, 2015
      データセットを選択
      The Demand for services collection contains harmonised statistics on demand for services by enterprises in the non-financial business economy. The Demand for services collection includes the following variables: number of enterprises purchases of servicesservice related investments The demand side survey "demand for services" provides information on the functioning of the internal market for services, allowing a more profound understanding of the true extent of the use of services in the European economy. It provides information on service providers, types of service purchased, the location of the main service provider, barriers to purchasing services, the level of expectations for future purchases, as well as information on service related investments in intangibles (such as tradable rights, ICT, R&D, marketing and sales).
  • U
    • 4月 2024
      ソース: USA Trade Online
      アップロード者: Knoema
      以下でアクセス: 09 4月, 2024
      データセットを選択
      US Trade By Commodity (HS), All commodities from chapter 73 Note:- For commodity "7323930080 - Household Articles, Stainless Steel, Nesoi & Parts" unit is different for exports and imports. The unit for exports and Imports are  Kilogram and Number respectively.For commodity " 7319901000 - Sewing, Darning Or Embroidery Needles, Iron Or Stl" we have data only for imports and unit is thousand and for Export Quantity Unit is "X".If a commodity has unit as “X” and “Blank” then there is no quantity data provided for the commodity. This happens when US government does not want to disclose the quantity to the Exporter or Importer. Since there is no quantity available, unit price calculations can not be provided.  
    • 4月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 19 4月, 2020
      データセットを選択
      Since September 2014, national accounts are compiled in accordance with the European System of Accounts - ESA 2010. Supply, use and input-output tables are part of the National Accounts transmission program. The timeliness for supply, use and input-output tables is set to 36 months after the end of the reference year. For example, data for the year 2011 should be transmitted to Eurostat not later tg-han by end of December 2014. The transmission program sets the requirements for the transmission of national data by Member States and partners countries. Every year countries transmit the supply and use tables. Every 5 years (for reference years ending with 0 or 5) countries transmit input-output tables (product by product) and detailed use tables at basic prices and valuation tables. Data are presented in million Euro in current prices (basic prices and a transformation into purchaser's prices for the supply side). The geographic coverage is the Member States of EU. 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 defines the requirements for Member States. The EU and EA consolidated Supply, use and input-output tables describe by product and industry the production processes and the transactions in products of the European Union economy with great detail. The consolidated supply, use and input-output tables for the EU describe the aggregation of the EU Member States data, from which the intra trade data has been treated (respectively for the Euro Area). The data is presented in a framework where the domestic part corresponds to the area of EU, the import part corresponds to imports from outside of the area EU.
  • V
    • 2月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 2月, 2018
      データセットを選択
    • 2月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 2月, 2018
      データセットを選択
    • 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
      Venture capital is a subset of private equity and refers to equity investment made for launch (seed), early development (start-up), or expansion (later stage venture) of business developed by enterprises not quoted on the stock market. Private equity can be further used to expand working capital, to make acquisitions, to strengthen a company’s balance sheet and for buyouts. Several stages can be distinguished in the expansion, the post-venture stage of fundraising: growth, rescue/turnaround, replacement and buyouts. The Venture capital investments (VCI) indicators are compiled based on the data collected by the INVEST Europe (formerly named European Private Equity & Venture Capital Association EVCA) survey of all private equity and venture capital companies. INVEST Europe is responsible for data collection and primary data treatment. The investment statistics released by INVEST Europe are provided on the one hand by the country of the private equity firm – industry statistics, and on the other hand by the country of portfolio company – market statistics. Data on Ventures capital investments presented in Eurobase are aggregated based on industry statistics. Data on venture capital in Eurobase refer to the amount of money invested and to the number of companies that receive the investment. Until 2006 reference year Eurostat VCI data were aggregated into 3 stages following the structure of investment stages as defined by the (former) EVCA : Investment in early stage (seed + start-up)Investment in expansion and replacement stage (expansion + replacement capital)Investment for buyouts (buyouts) In 2007 reference year important changes were brought to the methodology and sample of a survey. Furthermore, new aggregates were defined to better reflect the nature of the private equity capital. In consequence starting with 2007 data, the reconstruction of the former three stages revealed impossible. Due to this important break in series new data collection including detailed financing stages was created and introduced in Eurobase accordingly to the stage of the business. These data are broken into following groups: Venture capital in seed stageVenture capital in start-up stageVenture capital in later stageTotal venture capital (investment in seed + start-up + later stage)Investment in growth stageInvestment for rescue/turnaroundInvestment for replacementInvestment for buyoutsTotal investment For a more detailed definition, see 3.4 Statistical concepts and definitions. The data cover the EU-15 Member States, Bulgaria, Czech Republic, Hungary, Poland, Romania, Norway and Switzerland. The indicators are presented in EUR million, as a number of investments (only for 1989-2006 period), as a number of companies involved and as a percentage of GDP (Gross domestic product at market prices), which is defined in conformity with the European System of national and regional Accounts in the Community (ESA 95). For the reasons of scale, only the Total venture capital and the Total investment are expressed as a percentage of GDP. From a year to another one, data can differ. Several factors could explain these differences, for example: a declaration of a firm after closing of the figures, reclassification of investment, transfer of a headquarter to another country.
  • W
    • 7月 2023
      ソース: World Economics and Politics (WEP) Dataverse
      アップロード者: Knoema
      以下でアクセス: 08 8月, 2023
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    • 2月 2018
      ソース: Groningen Growth and Development Centre, University of Groningen
      アップロード者: Knoema
      以下でアクセス: 16 2月, 2018
      データセットを選択
      Data cited at: World Input-Output Database http://www.wiod.org/home Topic: Socio - Economic Accounts Publication: http://www.wiod.org/database/seas16 License: https://creativecommons.org/licenses/by/4.0/   Basic data on output and employment, World Input-Output Database (WIOD) database, February 2018 released. The Socio-economic accounts contain industry-level data on employment, capital stocks, gross output and value added at current and constant prices. The industry classification is the same as for the world input-output tables. Reference: Timmer, M. P., Dietzenbacher, E., Los, B., Stehrer, R. and de Vries, G. J. (2015),  "An Illustrated User Guide to the World Input–Output Database: the Case of Global Automotive Production",  Review of International Economics., 23: 575–605
    • 2月 2024
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2024
      データセットを選択
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Global Economic Monitor Publication: https://datacatalog.worldbank.org/dataset/global-economic-monitor License: http://creativecommons.org/licenses/by/4.0/   The dataset Provides daily updates of global economic developments, with coverage of high income- as well as developing countries. Average period data updates are provided for exchange rates, equity markets, interest rates, stripped bond spreads, and emerging market bond indices. Monthly data coverage (updated daily and populated upon availability) is provided for consumer prices, high-tech market indicators, industrial production and merchandise trade.
    • 2月 2019
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 11 2月, 2021
      データセットを選択
      The G20 Basic Set of Financial Inclusion data repository includes detailed data from users and providers of financial services. The Basic Set measures both access to financial services (“supply-side” data) and usage of services (“demand-side” data). The Basic Set covers both individuals and small and medium sized enterprises (SME’s) and includes data from three sources and 192 countries. The five basic set indicators are as follows: 1.The percentage of adults with a formal account; 2. The percentage of adults that use formal credit; 3. The percentage of SME’s with a formal account; 4. The percentage of SME’s that use formal credit; and 5. Bank branch penetration.
    • 4月 2024
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 03 4月, 2024
      データセットを選択
      The primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates
    • 1月 2024
      ソース: United Nations Department of Economic and Social Affairs
      アップロード者: Knoema
      以下でアクセス: 18 1月, 2024
      データセットを選択
      Note: World Economic Situation and Prospects, 2021 update available here: https://knoema.com/WESP2021/  
    • 1月 2024
      ソース: United Nations Department of Economic and Social Affairs
      アップロード者: Knoema
      以下でアクセス: 28 1月, 2024
      データセットを選択
      The World Economic Situation and Prospects 2024 is a report produced by the United Nations Department of Economic and Social Affairs (UN DESA), in partnership with the United Nations Conference on Trade and Development (UNCTAD) and the five United Nations regional commissions: Economic Commission for Africa (UNECA), Economic Commission for Europe (UNECE), Economic Commission for Latin America and the Caribbean (UNECLAC), Economic and Social Commission for Asia and the Pacific (UNESCAP) and Economic and Social Commission for Western Asia (UNESCWA). The United Nations World Tourism Organization (UNWTO) also contributed to the report.
    • 4月 2024
      ソース: Investing.com
      アップロード者: Knoema
      以下でアクセス: 16 4月, 2024
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    • 3月 2024
      ソース: Economic Policy Uncertainty
      アップロード者: Raviraj Mahendran
      以下でアクセス: 28 3月, 2024
      データセットを選択
      Data cited at: World Uncertainty Index (WUI), developed by Hites Ahir (International Monetary Fund), Nicholas Bloom (Stanford University) and Davide Furceri (International Monetary Fund).
  • И
    • 8月 2020
      ソース: Federal State Statistics Service, Russia
      アップロード者: Knoema
      以下でアクセス: 01 9月, 2020
      データセットを選択
      Методологические пояснения: Валовой внутренний продукт (ВВП) по паритету покупательной способности (ППС) - Объем ВВП стран, выраженный в национальной валюте, пересчитан в единую валюту, используя паритет покупательной способности (ППС). Также применяется выражение ВВП в реальном выражении по аналогии с похожей практикой выражения стоимостных показателей в ценах другого года. (последняя версия - Международные сопоставления валового внутреннего продукта за 2005 год: Стат. сб./ Росстат. – M., 2008. стр.15, расчетный показатель) Комментарий: Данные предоставляются на 5-й рабочий день после публикации результатов сопоставлений ОЭСР Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Информация о результатах международных сопоставлений валового внутреннего продукта, координируемых Организаций экономического сотрудничества и развития (ОЭСР) и Евростатом (за год, принятый за базу сопоставлений) Источники и способ формирования показателя: Расчет
    • 8月 2020
      ソース: Federal State Statistics Service, Russia
      アップロード者: Knoema
      以下でアクセス: 26 8月, 2020
      データセットを選択
      Методологические пояснения: Для проведения международных сопоставлений ВВП необходимо иметь данные о стоимостных объемах на уровне первичных групп товаров и услуг. Разбивка национальных расходов ВВП на первичные товарные группы основывается на двух критериях. Во-первых, первичные группы должны быть как можно более однородными, чтобы свести к минимуму разброс отдельных значений цен по странам внутри каждой первичной группы. Во-вторых, необходимо получить достаточно надежные данные о расходах по каждой первичной группе. Проведение сопоставлений осуществляется по международному графику, в котором отмечены последние сроки представления и согласования данных. Все результаты сопоставлений ВВП основываются на информации, представленной странами. Все изменения в национальных данных после окончательных сроков представления в соответствии с графиком работ не использовались в расчетах. (Последняя версия - Международные сопоставления валового внутреннего продукта за 2005 год: Стат. сб./ Росстат. – M., 2008. стр.17, 26, расчетный показатель). Комментарий: Данные предоставляются на 5-й рабочий день после публикации результатов сопоставлений ОЭСР Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Информация о результатах международных сопоставлений валового внутреннего продукта, координируемых Организаций экономического сотрудничества и развития (ОЭСР) и Евростатом (за год, принятый за базу сопоставлений) Источники и способ формирования показателя: Расчет
  • П
    • 8月 2020
      ソース: Federal State Statistics Service, Russia
      アップロード者: Knoema
      以下でアクセス: 01 9月, 2020
      データセットを選択
      Методологические пояснения: Паритет покупательной способности (ППС) представляет собой количество единиц валюты, необходимое для покупки стандартного набора товаров и услуг, который можно купить за одну денежную единицу базовой страны (или одну единицу общей валюты группы стран). ППС представляют собой переводные коэффициенты, которые элиминируют различия в уровне цен между странами в процессе пересчета, т. е. ППС являются одновременно и дефляторами, и инструментами пересчета денежных единиц в сопоставимую валюту. (последняя версия - Международные сопоставления валового внутреннего продукта за 2005 год: Стат. сб./ Росстат. – M., 2008. стр.13-14 , расчетный показатель) Комментарий: Данные предоставляются на 5-й рабочий день после публикации результатов сопоставлений ОЭСР Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Информация о результатах международных сопоставлений валового внутреннего продукта, координируемых Организаций экономического сотрудничества и развития (ОЭСР) и Евростатом (за год, принятый за базу сопоставлений) Вопросники (форматы) для формирования и распространения официальной статистической информации государств - членов Евразийского экономического союза (ЕАЭС) Вопросник форума "Азиатско-тихоокеанское экономическое сотрудничество" (АТЭС) по энергоэффективности Источники и способ формирования показателя: Расчет
  • Р
    • 5月 2020
      ソース: Federal State Statistics Service, Russia
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2019
      データセットを選択
      Методологические пояснения: Валовой внутренний продукт  (ВВП) на душу населения по паритету покупательной способности (ППС) - ВВП по ППС или в реальном выражении, рассчитанный на душу населения.  (последняя версия - Международные сопоставления валового внутреннего продукта за 2005 год: Стат. сб./ Росстат. – M., 2008. стр.15, расчетный показатель) Комментарий: Данные предоставляются на 5-й рабочий день после публикации результатов сопоставлений ОЭСР Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Информация о результатах международных сопоставлений валового внутреннего продукта, координируемых Организаций экономического сотрудничества и развития (ОЭСР) и Евростатом (за год, принятый за базу сопоставлений) Источники и способ формирования показателя: Расчет
  • С
    • 8月 2020
      ソース: Federal State Statistics Service, Russia
      アップロード者: Knoema
      以下でアクセス: 01 9月, 2020
      データセットを選択
      Методологические пояснения: Сопоставимый уровень цен - отношение паритета покупательной способности (ППС ) к валютному курсу. Различие между ППС и валютным курсом используется в качестве критерия выявления «более дешевых» или «более дорогих» стран по сравнению с другой страной.(последняя версия - Международные сопоставления валового внутреннего продукта за 2005 год: Стат. сб./ Росстат. – M., 2008. стр.15, расчетный показатель. Комментарий: Данные предоставляются на 5-й рабочий день после публикации результатов сопоставлений ОЭСР Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Информация о результатах международных сопоставлений валового внутреннего продукта, координируемых Организаций экономического сотрудничества и развития (ОЭСР) и Евростатом (за год, принятый за базу сопоставлений) Источники и способ формирования показателя: Расчет
    • 8月 2020
      ソース: Federal State Statistics Service, Russia
      アップロード者: Knoema
      以下でアクセス: 26 8月, 2020
      データセットを選択
      Методологические пояснения: Результаты сопоставлений и их точность зависят от от структуры ВВП. Влияние структуры обусловлено национальной структурой ВВП стран-участниц. Резкие изменения в национальной структуре ВВП приводят к изменению результатов сопоставлений в ту или иную сторону. Например, как было отмечено в сопоставлениях ВВП, большое положительное сальдо чистого экспорта увеличивает показатель ВВП на душу наседления, а отрицательное - существенно уменьшает. (Последняя версия - Международные сопоставления валового внутреннего продукта за 2005 год: Стат. сб./ Росстат. – M., 2008. стр.27,  расчетный показатель). Комментарий: Данные предоставляются на 5-й рабочий день после публикации результатов сопоставлений ОЭСР Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Информация о результатах международных сопоставлений валового внутреннего продукта, координируемых Организаций экономического сотрудничества и развития (ОЭСР) и Евростатом (за год, принятый за базу сопоставлений) Источники и способ формирования показателя: Расчет