West Midlands

  • Area, sq km:12.998 (2016)
  • Population, persons:5.907.872 (2019)
  • Popilation density, persons per sq km:455 (2019)
  • Capital City:Birmingham
  • Prime Minister of the United Kingdom:Boris Johnson
  • Name of Local Authority Leaders' Board:West Midlands
  • Official Web Site of the Region
  • Total GVA, £ million:141.405 (2018)
  • Median gross weekly earnings, £:620,2 (2020)
  • Employment rate, %:59,3 (2019)
  • Unemployment rate, %:4,5 (2019)
  • Average weekly household expenditure, £:486,1 (2018)
  • Recorded crime offences per 1,000 population:76,1 (2020)

Comparar

Todos os conjuntos de dados: A C D F G H L M N O P R S T
  • A
    • maio 2024
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 12 maio, 2024
      Selecionar Conjunto de dados
      The indicator reflects the purchasing power of households and their ability to invest in goods and services or save for the future, by accounting for taxes and social contributions and monetary in-kind social benefits. It 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. The values are also offered as an index calculated 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 adjusted gross disposable income of households per person is higher than the EU average and vice versa. Please note that this index is intended for cross-country comparisons rather than for temporal comparisons. Finally, the disparities indicator offered for EU27 (from 2020) is calculated as the coefficient of variation of the national figures. This time series offers a measure of the convergence of household income between the Member States of the EU.
    • novembro 2023
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 28 novembro, 2023
      Selecionar Conjunto de dados
      The indicator is defined as the ratio of the median individual gross pensions of 65-74 age category relative to median individual gross earnings of 50-59 age category, excluding other social benefits. The indicator is based on the EU-SILC (statistics on income, social inclusion and living conditions).
    • novembro 2023
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 28 novembro, 2023
      Selecionar Conjunto de dados
      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.
    • março 2018
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 17 março, 2018
      Selecionar Conjunto de dados
    • maio 2014
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 09 junho, 2014
      Selecionar Conjunto de dados
      Eurostat Dataset Id:earn_ses10_rbns 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.
    • junho 2024
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 22 junho, 2024
      Selecionar Conjunto de dados
      The persons with an equivalised disposable income below the risk-of-poverty threshold, which is set at 60 % of the national median equivalised disposable income.
    • junho 2024
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 22 junho, 2024
      Selecionar Conjunto de dados
      The threshold is set at 60 % of the national median equivalised disposable income (after social transfers). It is expressed in Purchase Parity Standards (PPS) in order to take into account differences in cost of living across EU Member States.
  • C
    • novembro 2023
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 22 novembro, 2023
      Selecionar Conjunto de dados
      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.
    • junho 2024
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 28 junho, 2024
      Selecionar Conjunto de dados
      Compensation of employees (at current prices) (ESA 2010, 4.02) 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. Seasonally and calendar adjusted data (SCA).
    • fevereiro 2024
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 21 fevereiro, 2024
      Selecionar Conjunto de dados
      Regional accounts are a regional specification of the national accounts and therefore based on the same concepts and definitions as national accounts (see domain nama10). The main specific regional issues are addressed in chapter 13 of ESA2010, but not practically specified. For practical rules and recommendations on sources and methods see the publication "Manual on regional accounts methods": http://ec.europa.eu/eurostat/en/web/products-manuals-and-guidelines/-/KS-GQ-13-001 . Gross domestic product (GDP) at market prices is the final result of the production activity of resident producer units. 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 expenditure approach cannot be 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 plus gross operating surplus and mixed income plus taxes on products less subsidies plus consumption of fixed capital. 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 EU28 average.
  • D
    • fevereiro 2024
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 21 fevereiro, 2024
      Selecionar Conjunto de dados
      The disposable income of private households is the balance of primary income (operating surplus/mixed income plus compensation of employees plus property income received minus property income paid) and the redistribution of income in cash. These transactions comprise social contributions paid, social benefits in cash received, current taxes on income and wealth paid, as well as other current transfers. Disposable income does not include social transfers in kind coming from public administrations or non-profit institutions serving households.
    • junho 2024
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 21 junho, 2024
      Selecionar Conjunto de dados
      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.
  • F
    • junho 2024
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 22 junho, 2024
      Selecionar Conjunto de dados
      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. <
  • G
    • junho 2024
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 22 junho, 2024
      Selecionar Conjunto de dados
      The indicator is defined as the absolute difference between males and females in the relative income of elderly people (65 and more) for single-person households.
    • novembro 2023
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 28 novembro, 2023
      Selecionar Conjunto de dados
      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.
    • julho 2024
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 02 julho, 2024
      Selecionar Conjunto de dados
      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.
    • julho 2023
      Fonte: Office for National Statistics, United Kingdom
      Carregamento por: Knoema
      Acesso em 07 agosto, 2023
      Selecionar Conjunto de dados
      EARN05: United Kingdom (thousands) Average gross weekly earnings of full-time employees, by region: People (not seasonally adjusted)  TRANSLATE with xEnglishArabicHebrewPolishBulgarianHindiPortugueseCatalanHmong DawRomanianChinese SimplifiedHungarianRussianChinese TraditionalIndonesianSlovakCzechItalianSlovenianDanishJapaneseSpanishDutchKlingonSwedishEnglishKoreanThaiEstonianLatvianTurkishFinnishLithuanianUkrainianFrenchMalayUrduGermanMalteseVietnameseGreekNorwegianWelshHaitian CreolePersian  TRANSLATE with COPY THE URL BELOW BackEMBED THE SNIPPET BELOW IN YOUR SITEEnable collaborative features and customize widget: Bing Webmaster PortalBack
  • H
    • abril 2024
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 13 abril, 2024
      Selecionar Conjunto de dados
      Annual data on Household Final Consumption Expenditure broken down by COICOP-HBS (2003) categories and by certain cross-sectional variables. The main purpose of this survey at national level is to update the weights of the basket of goods and services used for the calculation of the HICP. However it may also be used for many other purposes either at national or European level: economic studies, social analyses, market research… Presented data are: mean consumption expenditure of private households; structure of mean consumption expenditure and household characteristics. Household final consumption expenditure is measured in national currency, Euro and PPS (purchasing power standard). HBS data are collected via the National HBS surveys in each participating country. Data collection involves a combination of one or more interviews and diaries or logs maintained by households and/or individuals, generally on a daily basis.    Data collection is approximately every 5 years: 1988, 1994, 1999, 2005 and 2010. Next reference year is 2015.
  • L
  • M
    • novembro 2023
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 28 novembro, 2023
      Selecionar Conjunto de dados
      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.
    • março 2009
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 29 março, 2023
      Selecionar Conjunto de dados
      Eurostat Dataset Id:ilc_di06 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.
    • novembro 2023
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 28 novembro, 2023
      Selecionar Conjunto de dados
      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.
    • março 2012
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 01 julho, 2014
      Selecionar Conjunto de dados
      Eurostat Dataset Id:ilc_di07h 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.
    • janeiro 2017
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 05 fevereiro, 2017
      Selecionar Conjunto de dados
      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.
    • janeiro 2017
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 05 fevereiro, 2017
      Selecionar Conjunto de dados
      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.
    • janeiro 2017
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 05 fevereiro, 2017
      Selecionar Conjunto de dados
      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.
    • janeiro 2017
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 05 fevereiro, 2017
      Selecionar Conjunto de dados
      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.
    • janeiro 2017
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 05 fevereiro, 2017
      Selecionar Conjunto de dados
      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.
    • janeiro 2017
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 05 fevereiro, 2017
      Selecionar Conjunto de dados
      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.
    • fevereiro 2015
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 27 novembro, 2015
      Selecionar Conjunto de dados
      The source for the regional labour market information down to NUTS level 2 is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU and in EFTA and Candidate countries.  The EU-LFS survey follows the definitions and recommendations of the International Labour Organisation (ILO). To achieve further harmonisation, the Member States also adhere to common principles when formulating questionnaires. The LFS' target population is made up of all persons in private households aged 15 and over. For more information see the EU Labour Force Survey (lfsi_esms, see paragraph 21.1.).  The EU-LFS is designed to give accurate quarterly information at national level as well as annual information at NUTS 2 regional level and the compilation of these figures is well specified in the regulation. Microdata including the NUTS 2 level codes are provided by all the participating countries with a good degree of geographical comparability, which allows the production and dissemination of a complete set of comparable indicators for this territorial level. At present the transmission of the regional labour market data at NUTS 3 level has no legal basis. However many countries transmit NUTS 3 figures to Eurostat on a voluntary basis, under the understanding that they are not for publication with such detail, but for aggregation in few categories per country, i.e., metropolitan regions and urban-rural typology. Most of the NUTS 3 data are based on the LFS while some countries transmit data based on registers, administrative data, small area estimation and other reliable sources.
    • janeiro 2017
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 05 fevereiro, 2017
      Selecionar Conjunto de dados
      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. 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 some countries and regional metadata is identical to that provided for national data.
    • outubro 2020
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 17 outubro, 2020
      Selecionar Conjunto de dados
      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.
    • outubro 2020
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 17 outubro, 2020
      Selecionar Conjunto de dados
      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.
    • janeiro 2017
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 05 fevereiro, 2017
      Selecionar Conjunto de dados
      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.
    • outubro 2020
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 17 outubro, 2020
      Selecionar Conjunto de dados
      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.
    • janeiro 2017
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 05 fevereiro, 2017
      Selecionar Conjunto de dados
      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. 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 some countries and regional metadata is identical to that provided for national data.
    • janeiro 2017
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 05 fevereiro, 2017
      Selecionar Conjunto de dados
      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.
    • janeiro 2017
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 05 fevereiro, 2017
      Selecionar Conjunto de dados
      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.
    • junho 2024
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 24 junho, 2024
      Selecionar Conjunto de dados
      Annual data on Household Final Consumption Expenditure broken down by COICOP-HBS (2003) categories and by certain cross-sectional variables. The main purpose of this survey at national level is to update the weights of the basket of goods and services used for the calculation of the HICP. However it may also be used for many other purposes either at national or European level: economic studies, social analyses, market research… Presented data are: mean consumption expenditure of private households; structure of mean consumption expenditure and household characteristics. Household final consumption expenditure is measured in national currency, Euro and PPS (purchasing power standard). HBS data are collected via the National HBS surveys in each participating country. Data collection involves a combination of one or more interviews and diaries or logs maintained by households and/or individuals, generally on a daily basis.    Data collection is approximately every 5 years: 1988, 1994, 1999, 2005 and 2010. Next reference year is 2015.
    • janeiro 2017
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 05 fevereiro, 2017
      Selecionar Conjunto de dados
      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.
    • janeiro 2017
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 05 fevereiro, 2017
      Selecionar Conjunto de dados
      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.
    • janeiro 2017
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 05 fevereiro, 2017
      Selecionar Conjunto de dados
      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.
    • fevereiro 2015
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 27 novembro, 2015
      Selecionar Conjunto de dados
      The source for the regional labour market information down to NUTS level 2 is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU and in EFTA and Candidate countries.  The EU-LFS survey follows the definitions and recommendations of the International Labour Organisation (ILO). To achieve further harmonisation, the Member States also adhere to common principles when formulating questionnaires. The LFS' target population is made up of all persons in private households aged 15 and over. For more information see the EU Labour Force Survey (lfsi_esms, see paragraph 21.1.).  The EU-LFS is designed to give accurate quarterly information at national level as well as annual information at NUTS 2 regional level and the compilation of these figures is well specified in the regulation. Microdata including the NUTS 2 level codes are provided by all the participating countries with a good degree of geographical comparability, which allows the production and dissemination of a complete set of comparable indicators for this territorial level. At present the transmission of the regional labour market data at NUTS 3 level has no legal basis. However many countries transmit NUTS 3 figures to Eurostat on a voluntary basis, under the understanding that they are not for publication with such detail, but for aggregation in few categories per country, i.e., metropolitan regions and urban-rural typology. Most of the NUTS 3 data are based on the LFS while some countries transmit data based on registers, administrative data, small area estimation and other reliable sources.
    • junho 2016
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 20 junho, 2016
      Selecionar Conjunto de dados
      The source for the regional labour market information down to NUTS level 2 is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU and in EFTA and Candidate countries.  The EU-LFS survey follows the definitions and recommendations of the International Labour Organisation (ILO). To achieve further harmonisation, the Member States also adhere to common principles when formulating questionnaires. The LFS' target population is made up of all persons in private households aged 15 and over. For more information see the EU Labour Force Survey (lfsi_esms, see paragraph 21.1.).  The EU-LFS is designed to give accurate quarterly information at national level as well as annual information at NUTS 2 regional level and the compilation of these figures is well specified in the regulation. Microdata including the NUTS 2 level codes are provided by all the participating countries with a good degree of geographical comparability, which allows the production and dissemination of a complete set of comparable indicators for this territorial level. At present the transmission of the regional labour market data at NUTS 3 level has no legal basis. However many countries transmit NUTS 3 figures to Eurostat on a voluntary basis, under the understanding that they are not for publication with such detail, but for aggregation in few categories per country, i.e., metropolitan regions and urban-rural typology. Most of the NUTS 3 data are based on the LFS while some countries transmit data based on registers, administrative data, small area estimation and other reliable sources.
    • janeiro 2017
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 04 fevereiro, 2017
      Selecionar Conjunto de dados
      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. 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 some countries and regional metadata is identical to that provided for national data.
    • janeiro 2017
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 05 fevereiro, 2017
      Selecionar Conjunto de dados
      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.
    • janeiro 2017
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 05 fevereiro, 2017
      Selecionar Conjunto de dados
      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. 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 some countries and regional metadata is identical to that provided for national data.
    • janeiro 2017
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 05 fevereiro, 2017
      Selecionar Conjunto de dados
      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.
    • janeiro 2017
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 05 fevereiro, 2017
      Selecionar Conjunto de dados
      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.
    • janeiro 2017
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 05 fevereiro, 2017
      Selecionar Conjunto de dados
      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.
    • janeiro 2017
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 05 fevereiro, 2017
      Selecionar Conjunto de dados
      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.
    • janeiro 2017
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 05 fevereiro, 2017
      Selecionar Conjunto de dados
      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.
    • janeiro 2017
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 05 fevereiro, 2017
      Selecionar Conjunto de dados
      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.
    • janeiro 2017
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 05 fevereiro, 2017
      Selecionar Conjunto de dados
      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.
    • janeiro 2017
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 05 fevereiro, 2017
      Selecionar Conjunto de dados
      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.
    • janeiro 2017
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 05 fevereiro, 2017
      Selecionar Conjunto de dados
      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.
    • janeiro 2017
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 05 fevereiro, 2017
      Selecionar Conjunto de dados
      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. 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 some countries and regional metadata is identical to that provided for national data.
    • outubro 2020
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 17 outubro, 2020
      Selecionar Conjunto de dados
      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.
    • janeiro 2017
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 05 fevereiro, 2017
      Selecionar Conjunto de dados
      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. 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 some countries and regional metadata is identical to that provided for national data.
    • janeiro 2017
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 05 fevereiro, 2017
      Selecionar Conjunto de dados
      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.
    • janeiro 2017
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 05 fevereiro, 2017
      Selecionar Conjunto de dados
      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.
    • junho 2024
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 22 junho, 2024
      Selecionar Conjunto de dados
      The indicator is defined as the ratio between the median equivalised disposable income of persons aged 65 or over and the median equivalised disposable income of persons aged between 0 and 64.
    • junho 2024
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 22 junho, 2024
      Selecionar Conjunto de dados
      The indicator is defined as the ratio of the median equivalised disposable income of persons aged 60 and over to the median equivalised disposable income of persons aged between 0 and 59.
    • janeiro 2024
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 31 janeiro, 2024
      Selecionar Conjunto de dados
      Eurostat Dataset Id:earn_mw_cur   The basic national minimum wage is fixed at an hourly, weekly or monthly rate, and this minimum wage is enforced by law (the government), often after consultation with the social partners, or directly by national intersectoral agreement. The national minimum wage usually applies to all employees, or at least to a large majority of employees in the country. Gross wages are reported. Information is available on:Monthly minimum wages in euro, Purchasing Power Standards (PPS) and, for non euro area countries, national currencies.Monthly minimum wage as a proportion of average monthly earnings in the business economy and in industry, construction and services (except activities of households as employers and extra-territorial organisations and bodies) (Nace Rev. 2, data from 2008 onwards).Monthly minimum wage as a proportion of average monthly earnings in industry and services (NACE Rev. 1.1, data 1999-2009). Minimum wage statistics published by Eurostat refer to monthly national minimum wages. For countries where the national minimum wage is not set monthly (e.g. hourly or weekly) the rates are converted into monthly rates (see also 20.6). The data collection excludes countries which do not have a national minimum wage (see 3.7 for details).
  • N
    • abril 2018
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 11 abril, 2018
      Selecionar Conjunto de dados
      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.
    • julho 2023
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 14 julho, 2023
      Selecionar Conjunto de dados
      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.
    • junho 2024
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 21 junho, 2024
      Selecionar Conjunto de dados
      Eurostat Dataset Id:spr_net_ben Data on expenditure and receipts of social protection, on net social protection benefits as well as on pension beneficiaries contained in the ESSPROS domain are drawn up according to the ESSPROS (European System of integrated Social Protection Statistics) domain. Detailed information on the ESSPROS 'Concepts and Definitions' is available in Section 3.4 below. The ESSPROS domain  In Eurostat database, ESSPROS domain, ESSPROS data on expenditure and receipts, data on net social protection benefits as well as data on Pension beneficiaries for the total of schemes are currently disseminated. The qualitative information is available in the dedicated section "Social protection" of the Eurostat website.   Data on expenditure and receipts correspond to two collections "EXPEND" (Social protection expenditure) and "RECEIPTS" (Social protection receipts). The collection "EXPEND" is composed by three groups: 1. expsum (Expenditure - Summary tables); it contains two summary tables:e sum Expenditure: main results. The data include the expenditure broken down in social benefits, administration cost and other expenditure. In addition, social benefits are classified by functions of social protection (see ESSPROS Manual-The European System of integrated Social PROtection Statistics (ESSPROS), Part I - § 110).e pens Pensions. The data include the social benefits relating to pensions (old age, disability, survivors and unemployment pensions). In addition the data are split between means-tested and non means-tested benefits. 2. expcur (Expenditure - Tables by functions and aggregated benefits); it contains five tables corresponding to different "currencies": national currencies (e nac), euros (e eur), Purchasing Power Standards (e pps), Purchasing Power Standards per head (e ppsh) and % of the GDP (e gdp). For each table data (social protection benefits) are published:according to the classification by function of social protection: eight functions (Sickness /Health care; Disability; Old age; Survivors; Family/children; Unemployment; Housing; Social exclusion not elsewhere classified) and the total of social benefits;according to the detailed classification of benefits by type - cash benefits and benefits in kind- and by characteristic -split between means-tested and non means-tested benefits-(see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS), Part I - §111 and following). 3. expfunc (Expenditure - Tables by benefits and currency); it contains nine tables corresponding to the eight different functions of social protection and one for the total of social benefits. In each table data are published according to the detailed classification of benefits by function,type and characteristic(see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS), Part II). The collection "RECEIPTS"is composed by two groups: 1. recsum (Receipts - Summary tables); it contains two tables:r sumt Receipts by type. The data include the receipts of social protection broken down in the different types of receipts - social contributions, general government contributions and other receipts- (see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS), Part I - § 70 and following).r sums Receipts by sector of origin. The data include the receipts of social protection broken down by the different sectors of origin -corporations, general government, households, non-profit institutions serving households, rest of the world- (see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS), Part I - § 87 and following). 2. reccur (Receipts by different "currencies"); it contains three tables: national currencies (r nac), euros (r eur) and % of the GDP (r gdp). For each table data (receipts) are published:according to the classification by types of receipts;according to the classification by sectors of origin.   Data on net social protection benefits correspond to the table " spr_net_ben" (Net social protection benefits) in the collection "NET". Net social protection benefits are defined as the value of social protection benefits excluding taxes and social contributions paid by the benefits recipients. They are complemented by the value of “Fiscal benefits” provided in the form of tax breaks that would be defined as social protection benefits, if they were provided in cash. Tax breaks promoting the provision of social protection or promoting private insurance plans are excluded. The objective of the ESSPROS net social protection benefits (SPB) module is to show the real impact of social transfers on the income of beneficiaries .The net methodology adopted – available in the ESSPROS Manual - The European System of integrated Social PROtection Statistics (Appendix IV) - follows the “restricted approach” to measure net benefits, which means that it maintains the scope of the Core system and is limited to measuring the impact of the fiscal system on the value of gross (cash) benefits recorded there and it cannot take into account the value of fiscal benefits provided to people who do not receive such cash benefits. Full coverage of such fiscal benefits for social protection purposes is only provided under the “enlarged approach” to measuring net social protection benefits but the development of this approach is still on-going.    Data on pension beneficiaries correspond to the collection "PENS" that contains the table "spr_pns_ben" (Pension Beneficiaries at 31 December of each year). The data include the number of recipients of one or more periodic cash benefits under a social protection scheme falling within seven pension categories grouped into four basic functions. The seven categories of pensions in this module are:Disability pension;Early retirement benefit due to reduced capacity to work;Old-age pension;Anticipated old-age pension;Partial pension;Survivor's pension;Early retirement benefit due to labour market reasons. The four functions of the module are:Disability (grouping the first two categories of pensions above);Old age (grouping the next three);Survivors (the sixth category);Unemployment (the last category). The data, available by gender for the total of schemes, are expressed in "units".
    • janeiro 2017
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 05 fevereiro, 2017
      Selecionar Conjunto de dados
      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.
    • janeiro 2017
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 05 fevereiro, 2017
      Selecionar Conjunto de dados
      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.
    • janeiro 2017
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 05 fevereiro, 2017
      Selecionar Conjunto de dados
      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.
  • O
    • janeiro 2024
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 10 janeiro, 2024
      Selecionar Conjunto de dados
      Household out-of-pocket payment’ means a direct payment for healthcare goods and services from the household primary income or savings, where the payment is made by the user at the time of the purchase of goods or the use of the services. Data are collected according to Commission Regulation (EC) 2015/359 as regards statistics on healthcare expenditure and financing (System of Health Accounts 2011 manual).
  • P
    • novembro 2023
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 22 novembro, 2023
      Selecionar Conjunto de dados
      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.
    • dezembro 2023
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 02 dezembro, 2023
      Selecionar Conjunto de dados
      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.
    • junho 2024
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 22 junho, 2024
      Selecionar Conjunto de dados
      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.
    • dezembro 2023
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 02 dezembro, 2023
      Selecionar Conjunto de dados
      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.
    • novembro 2023
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 22 novembro, 2023
      Selecionar Conjunto de dados
      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.
    • fevereiro 2024
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 20 fevereiro, 2024
      Selecionar Conjunto de dados
      The primary distribution of income shows the income of private households generated directly from market transactions, in particular the purchase and sale of factors of production. This includes as the main item the compensation of employees, i.e. income from the sale of labour as a factor of production. Private households can also receive income on assets, particularly interest, dividends and rents. Then there is also income from net operating surplus and self-employment. Interest and rents payable are recorded as negative items for households. The balance of all these transactions is known as the primary income of private households.
    • fevereiro 2024
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 13 fevereiro, 2024
      Selecionar Conjunto de dados
  • R
    • maio 2024
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 11 maio, 2024
      Selecionar Conjunto de dados
      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.
    • novembro 2023
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 22 novembro, 2023
      Selecionar Conjunto de dados
      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.
    • outubro 2023
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 31 outubro, 2023
      Selecionar Conjunto de dados
      The ESSPROS domain In Eurostat database, ESSPROS domain, ESSPROS data on expenditure and receipts, data on net social protection benefits as well as data on Pension beneficiaries for the total of schemes are currently disseminated. The qualitative information is available in the dedicated section "Social protection" of the Eurostat website. The release of ESSPROS data, quality reports and the qualitative information is made annually. Among the three main categories of data soruces - administrative data, national accounts and other estimates, surveys/census - most of the countries report administrative data and register-based data as their main data sources. Data on expenditure and receipts correspond to two collections "EXPEND" (Social protection expenditure) and "RECEIPTS" (Social protection receipts). The collection "EXPEND" is composed by three groups: 1. expsum (Expenditure - Summary tables); it contains two summary tables:e sum Expenditure: main results. The data include the expenditure broken down in social benefits, administration cost and other expenditure. In addition, social benefits are classified by functions of social protection. e pens Pensions. The data include the social benefits relating to pensions (old age, disability, survivors and unemployment pensions). In addition the data are split between means-tested and non means-tested benefits. 2. expcur (Expenditure - Tables by functions and aggregated benefits); it contains five tables corresponding to different "currencies": national currencies (e nac), euros (e eur), Purchasing Power Standards (e pps), Purchasing Power Standards per head (e ppsh) and % of the GDP (e gdp). For each table data (social protection benefits) are published:according to the classification by function of social protection: eight functions (Sickness /Health care; Disability; Old age; Survivors; Family/children; Unemployment; Housing; Social exclusion not elsewhere classified) and the total of social benefits;according to the detailed classification of benefits by type - cash benefits and benefits in kind- and by characteristic -split between means-tested and non means-tested benefits. 3. expfunc (Expenditure - Tables by benefits and currency); it contains nine tables corresponding to the eight different functions of social protection and one for the total of social benefits. In each table data are published according to the detailed classification of benefits by function,type and characteristic. The collection "RECEIPTS"is composed by two groups: 1. recsum (Receipts - Summary tables); it contains two tables:r sumt Receipts by type. The data include the receipts of social protection broken down in the different types of receipts - social contributions, general government contributions and other receipts.r sums Receipts by sector of origin. The data include the receipts of social protection broken down by the different sectors of origin -corporations, general government, households, non-profit institutions serving households, rest of the world. 2. reccur (Receipts by different "currencies"); it contains three tables: national currencies (r nac), euros (r eur) and % of the GDP (r gdp). For each table data (receipts) are published:according to the classification by types of receipts;according to the classification by sectors of origin. Data on net social protection benefits correspond to the table " spr_net_ben" (Net social protection benefits) in the collection "NET". The ESSPROS module on net social protection benefits (restricted approach) measures net expenditure by collecting information on the average rates of taxes and social contributions paid by recipients of each cash benefit reported in the Core system. These rates are then applied to the gross expenditure on each benefit to obtain a net value as follows: Net social benefits = Gross social benefits * (1 – AITR – AISCR) where AITR / AISCR are the Average itemized tax / social contribution rates. The net social protection benefits are complemented by the value of “Fiscal benefits” provided in the form of tax breaks that would be defined as social protection benefits, if they were provided in cash. Tax breaks promoting the provision of social protection or promoting private insurance plans are excluded. Exceptionally, if some fiscal benefits cannot be taken into account in the assessment of the actual taxes and social contributions paid on social benefits (this happen for few countries), then the value of net benefits should be complemented by the residual value of the fiscal benefit. In this case the formula above becomes: Net social benefits = Gross social benefits * (1 – AITR – AISCR) + Residual fiscal benefits In ESSPROS, fiscal benefits are defined as social protection provided in the form of tax breaks that would be defined as social protection benefits if they were provided in cash, excluding tax breaks promoting the provision of social protection or promoting private insurance plans. According to a 2015 decision of the Working Group on Social Protection Statistics, fiscal benefits in the form of payable tax credits should be included in full (cash component plus fiscal component) in the ESSPROS Core System while all other forms of fiscal benefit are excluded from the Core System and dealt with in the NET modules (the existing restricted approach module and the planned enlarged approach modules). More information is available in the Annex I "Payable tax credits".   Data on pension beneficiaries correspond to the collection "PENS" that contains the table "spr_pns_ben" (Pension Beneficiaries at 31 December of each year). The data include the number of recipients of one or more periodic cash benefits under a social protection scheme falling within seven pension categories grouped into four basic functions. The seven categories of pensions in this module are:Disability pension;Early retirement benefit due to reduced capacity to work;Old-age pension;Anticipated old-age pension;Partial pension;Survivor's pension;Early retirement benefit due to labour market reasons. The four functions of the module are:Disability (grouping the first two categories of pensions above);Old age (grouping the next three);Survivors (the sixth category);Unemployment (the last category). The data, available by gender for the total of schemes, are expressed in "units". Methodological definitions and more details about social protection classifications and breakdowns can be found in the ESSPROS Manual - The European System of integrated Social PROtection Statistics. Annexes:Payable tax credits
    • junho 2024
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 21 junho, 2024
      Selecionar Conjunto de dados
      Eurostat Dataset Id:spr_rec_nac Data on expenditure and receipts of social protection, on net social protection benefits as well as on pension beneficiaries contained in the ESSPROS domain are drawn up according to the ESSPROS (European System of integrated Social Protection Statistics) domain. Detailed information on the ESSPROS 'Concepts and Definitions' is available in Section 3.4 below. The ESSPROS domain  In Eurostat database, ESSPROS domain, ESSPROS data on expenditure and receipts, data on net social protection benefits as well as data on Pension beneficiaries for the total of schemes are currently disseminated. The qualitative information is available in the dedicated section "Social protection" of the Eurostat website.   Data on expenditure and receipts correspond to two collections "EXPEND" (Social protection expenditure) and "RECEIPTS" (Social protection receipts). The collection "EXPEND" is composed by three groups: 1. expsum (Expenditure - Summary tables); it contains two summary tables:e sum Expenditure: main results. The data include the expenditure broken down in social benefits, administration cost and other expenditure. In addition, social benefits are classified by functions of social protection (see ESSPROS Manual-The European System of integrated Social PROtection Statistics (ESSPROS), Part I - § 110).e pens Pensions. The data include the social benefits relating to pensions (old age, disability, survivors and unemployment pensions). In addition the data are split between means-tested and non means-tested benefits. 2. expcur (Expenditure - Tables by functions and aggregated benefits); it contains five tables corresponding to different "currencies": national currencies (e nac), euros (e eur), Purchasing Power Standards (e pps), Purchasing Power Standards per head (e ppsh) and % of the GDP (e gdp). For each table data (social protection benefits) are published:according to the classification by function of social protection: eight functions (Sickness /Health care; Disability; Old age; Survivors; Family/children; Unemployment; Housing; Social exclusion not elsewhere classified) and the total of social benefits;according to the detailed classification of benefits by type - cash benefits and benefits in kind- and by characteristic -split between means-tested and non means-tested benefits-(see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS), Part I - §111 and following). 3. expfunc (Expenditure - Tables by benefits and currency); it contains nine tables corresponding to the eight different functions of social protection and one for the total of social benefits. In each table data are published according to the detailed classification of benefits by function,type and characteristic(see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS), Part II). The collection "RECEIPTS"is composed by two groups: 1. recsum (Receipts - Summary tables); it contains two tables:r sumt Receipts by type. The data include the receipts of social protection broken down in the different types of receipts - social contributions, general government contributions and other receipts- (see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS), Part I - § 70 and following).r sums Receipts by sector of origin. The data include the receipts of social protection broken down by the different sectors of origin -corporations, general government, households, non-profit institutions serving households, rest of the world- (see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS), Part I - § 87 and following). 2. reccur (Receipts by different "currencies"); it contains three tables: national currencies (r nac), euros (r eur) and % of the GDP (r gdp). For each table data (receipts) are published:according to the classification by types of receipts;according to the classification by sectors of origin.   Data on net social protection benefits correspond to the table " spr_net_ben" (Net social protection benefits) in the collection "NET". Net social protection benefits are defined as the value of social protection benefits excluding taxes and social contributions paid by the benefits recipients. They are complemented by the value of “Fiscal benefits” provided in the form of tax breaks that would be defined as social protection benefits, if they were provided in cash. Tax breaks promoting the provision of social protection or promoting private insurance plans are excluded. The objective of the ESSPROS net social protection benefits (SPB) module is to show the real impact of social transfers on the income of beneficiaries .The net methodology adopted – available in the ESSPROS Manual - The European System of integrated Social PROtection Statistics (Appendix IV) - follows the “restricted approach” to measure net benefits, which means that it maintains the scope of the Core system and is limited to measuring the impact of the fiscal system on the value of gross (cash) benefits recorded there and it cannot take into account the value of fiscal benefits provided to people who do not receive such cash benefits. Full coverage of such fiscal benefits for social protection purposes is only provided under the “enlarged approach” to measuring net social protection benefits but the development of this approach is still on-going.    Data on pension beneficiaries correspond to the collection "PENS" that contains the table "spr_pns_ben" (Pension Beneficiaries at 31 December of each year). The data include the number of recipients of one or more periodic cash benefits under a social protection scheme falling within seven pension categories grouped into four basic functions. The seven categories of pensions in this module are:Disability pension;Early retirement benefit due to reduced capacity to work;Old-age pension;Anticipated old-age pension;Partial pension;Survivor's pension;Early retirement benefit due to labour market reasons. The four functions of the module are:Disability (grouping the first two categories of pensions above);Old age (grouping the next three);Survivors (the sixth category);Unemployment (the last category). The data, available by gender for the total of schemes, are expressed in "units".
    • outubro 2023
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 31 outubro, 2023
      Selecionar Conjunto de dados
      The ESSPROS domain In Eurostat database, ESSPROS domain, ESSPROS data on expenditure and receipts, data on net social protection benefits as well as data on Pension beneficiaries for the total of schemes are currently disseminated. The qualitative information is available in the dedicated section "Social protection" of the Eurostat website. The release of ESSPROS data, quality reports and the qualitative information is made annually. Among the three main categories of data soruces - administrative data, national accounts and other estimates, surveys/census - most of the countries report administrative data and register-based data as their main data sources. Data on expenditure and receipts correspond to two collections "EXPEND" (Social protection expenditure) and "RECEIPTS" (Social protection receipts). The collection "EXPEND" is composed by three groups: 1. expsum (Expenditure - Summary tables); it contains two summary tables:e sum Expenditure: main results. The data include the expenditure broken down in social benefits, administration cost and other expenditure. In addition, social benefits are classified by functions of social protection. e pens Pensions. The data include the social benefits relating to pensions (old age, disability, survivors and unemployment pensions). In addition the data are split between means-tested and non means-tested benefits. 2. expcur (Expenditure - Tables by functions and aggregated benefits); it contains five tables corresponding to different "currencies": national currencies (e nac), euros (e eur), Purchasing Power Standards (e pps), Purchasing Power Standards per head (e ppsh) and % of the GDP (e gdp). For each table data (social protection benefits) are published:according to the classification by function of social protection: eight functions (Sickness /Health care; Disability; Old age; Survivors; Family/children; Unemployment; Housing; Social exclusion not elsewhere classified) and the total of social benefits;according to the detailed classification of benefits by type - cash benefits and benefits in kind- and by characteristic -split between means-tested and non means-tested benefits. 3. expfunc (Expenditure - Tables by benefits and currency); it contains nine tables corresponding to the eight different functions of social protection and one for the total of social benefits. In each table data are published according to the detailed classification of benefits by function,type and characteristic. The collection "RECEIPTS"is composed by two groups: 1. recsum (Receipts - Summary tables); it contains two tables:r sumt Receipts by type. The data include the receipts of social protection broken down in the different types of receipts - social contributions, general government contributions and other receipts.r sums Receipts by sector of origin. The data include the receipts of social protection broken down by the different sectors of origin -corporations, general government, households, non-profit institutions serving households, rest of the world. 2. reccur (Receipts by different "currencies"); it contains three tables: national currencies (r nac), euros (r eur) and % of the GDP (r gdp). For each table data (receipts) are published:according to the classification by types of receipts;according to the classification by sectors of origin. Data on net social protection benefits correspond to the table " spr_net_ben" (Net social protection benefits) in the collection "NET". The ESSPROS module on net social protection benefits (restricted approach) measures net expenditure by collecting information on the average rates of taxes and social contributions paid by recipients of each cash benefit reported in the Core system. These rates are then applied to the gross expenditure on each benefit to obtain a net value as follows: Net social benefits = Gross social benefits * (1 – AITR – AISCR) where AITR / AISCR are the Average itemized tax / social contribution rates. The net social protection benefits are complemented by the value of “Fiscal benefits” provided in the form of tax breaks that would be defined as social protection benefits, if they were provided in cash. Tax breaks promoting the provision of social protection or promoting private insurance plans are excluded. Exceptionally, if some fiscal benefits cannot be taken into account in the assessment of the actual taxes and social contributions paid on social benefits (this happen for few countries), then the value of net benefits should be complemented by the residual value of the fiscal benefit. In this case the formula above becomes: Net social benefits = Gross social benefits * (1 – AITR – AISCR) + Residual fiscal benefits In ESSPROS, fiscal benefits are defined as social protection provided in the form of tax breaks that would be defined as social protection benefits if they were provided in cash, excluding tax breaks promoting the provision of social protection or promoting private insurance plans. According to a 2015 decision of the Working Group on Social Protection Statistics, fiscal benefits in the form of payable tax credits should be included in full (cash component plus fiscal component) in the ESSPROS Core System while all other forms of fiscal benefit are excluded from the Core System and dealt with in the NET modules (the existing restricted approach module and the planned enlarged approach modules). More information is available in the Annex I "Payable tax credits".   Data on pension beneficiaries correspond to the collection "PENS" that contains the table "spr_pns_ben" (Pension Beneficiaries at 31 December of each year). The data include the number of recipients of one or more periodic cash benefits under a social protection scheme falling within seven pension categories grouped into four basic functions. The seven categories of pensions in this module are:Disability pension;Early retirement benefit due to reduced capacity to work;Old-age pension;Anticipated old-age pension;Partial pension;Survivor's pension;Early retirement benefit due to labour market reasons. The four functions of the module are:Disability (grouping the first two categories of pensions above);Old age (grouping the next three);Survivors (the sixth category);Unemployment (the last category). The data, available by gender for the total of schemes, are expressed in "units". Methodological definitions and more details about social protection classifications and breakdowns can be found in the ESSPROS Manual - The European System of integrated Social PROtection Statistics. Annexes:Payable tax credits
    • outubro 2023
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 31 outubro, 2023
      Selecionar Conjunto de dados
      The ESSPROS domain In Eurostat database, ESSPROS domain, ESSPROS data on expenditure and receipts, data on net social protection benefits as well as data on Pension beneficiaries for the total of schemes are currently disseminated. The qualitative information is available in the dedicated section "Social protection" of the Eurostat website. The release of ESSPROS data, quality reports and the qualitative information is made annually. Among the three main categories of data soruces - administrative data, national accounts and other estimates, surveys/census - most of the countries report administrative data and register-based data as their main data sources. Data on expenditure and receipts correspond to two collections "EXPEND" (Social protection expenditure) and "RECEIPTS" (Social protection receipts). The collection "EXPEND" is composed by three groups: 1. expsum (Expenditure - Summary tables); it contains two summary tables: e sum Expenditure: main results. The data include the expenditure broken down in social benefits, administration cost and other expenditure. In addition, social benefits are classified by functions of social protection. e pens Pensions. The data include the social benefits relating to pensions (old age, disability, survivors and unemployment pensions). In addition the data are split between means-tested and non means-tested benefits. 2. expcur (Expenditure - Tables by functions and aggregated benefits); it contains five tables corresponding to different "currencies": national currencies (e nac), euros (e eur), Purchasing Power Standards (e pps), Purchasing Power Standards per head (e ppsh) and % of the GDP (e gdp). For each table data (social protection benefits) are published: according to the classification by function of social protection: eight functions (Sickness /Health care; Disability; Old age; Survivors; Family/children; Unemployment; Housing; Social exclusion not elsewhere classified) and the total of social benefits;according to the detailed classification of benefits by type - cash benefits and benefits in kind- and by characteristic -split between means-tested and non means-tested benefits.3. expfunc (Expenditure - Tables by benefits and currency); it contains nine tables corresponding to the eight different functions of social protection and one for the total of social benefits. In each table data are published according to the detailed classification of benefits by function, type and characteristic. The collection "RECEIPTS" is composed by two groups: 1. recsum (Receipts - Summary tables); it contains two tables: r sumt Receipts by type. The data include the receipts of social protection broken down in the different types of receipts - social contributions, general government contributions and other receipts. r sums Receipts by sector of origin. The data include the receipts of social protection broken down by the different sectors of origin -corporations, general government, households, non-profit institutions serving households, rest of the world. 2. reccur (Receipts by different "currencies"); it contains three tables: national currencies (r nac), euros (r eur) and % of the GDP (r gdp). For each table data (receipts) are published: according to the classification by types of receipts;according to the classification by sectors of origin.Data on net social protection benefits correspond to the table " spr_net_ben" (Net social protection benefits) in the collection "NET". The ESSPROS module on net social protection benefits (restricted approach) measures net expenditure by collecting information on the average rates of taxes and social contributions paid by recipients of each cash benefit reported in the Core system. These rates are then applied to the gross expenditure on each benefit to obtain a net value as follows: Net social benefits = Gross social benefits * (1 – AITR – AISCR) where AITR / AISCR are the Average itemized tax / social contribution rates. The net social protection benefits are complemented by the value of “Fiscal benefits” provided in the form of tax breaks that would be defined as social protection benefits, if they were provided in cash. Tax breaks promoting the provision of social protection or promoting private insurance plans are excluded. Exceptionally, if some fiscal benefits cannot be taken into account in the assessment of the actual taxes and social contributions paid on social benefits (this happens for few countries), then the value of net benefits should be complemented by the residual value of the fiscal benefit. In this case the formula above becomes: Net social benefits = Gross social benefits * (1 – AITR – AISCR) + Residual fiscal benefits In ESSPROS, fiscal benefits are defined as social protection provided in the form of tax breaks that would be defined as social protection benefits if they were provided in cash, excluding tax breaks promoting the provision of social protection or promoting private insurance plans. According to a 2015 decision of the Working Group on Social Protection Statistics, fiscal benefits in the form of payable tax credits should be included in full (cash component plus fiscal component) in the ESSPROS Core System while all other forms of fiscal benefit are excluded from the Core System and dealt with in the NET modules (the existing restricted approach module and the planned enlarged approach modules). More information is available in the Annex I "Payable tax credits".   Data on pension beneficiaries correspond to the collection "PENS" that contains the table "spr_pns_ben" (Pension Beneficiaries at 31 December of each year). The data include the number of recipients of one or more periodic cash benefits under a social protection scheme falling within seven pension categories grouped into four basic functions. The seven categories of pensions in this module are: Disability pension;Early retirement benefit due to reduced capacity to work;Old-age pension;Anticipated old-age pension;Partial pension;Survivor's pension;Early retirement benefit due to labour market reasons. The four functions of the module are: Disability (grouping the first two categories of pensions above);Old age (grouping the next three);Survivors (the sixth category);Unemployment (the last category). The data, available by gender for the total of schemes, are expressed in "units". Methodological definitions and more details about social protection classifications and breakdowns can be found in the ESSPROS Manual - The European System of integrated Social PROtection Statistics. Annexes:Payable tax credits
    • outubro 2023
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 31 outubro, 2023
      Selecionar Conjunto de dados
      The ESSPROS domain In Eurostat database, ESSPROS domain, ESSPROS data on expenditure and receipts, data on net social protection benefits as well as data on Pension beneficiaries for the total of schemes are currently disseminated. The qualitative information is available in the dedicated section "Social protection" of the Eurostat website. The release of ESSPROS data, quality reports and the qualitative information is made annually. Among the three main categories of data soruces - administrative data, national accounts and other estimates, surveys/census - most of the countries report administrative data and register-based data as their main data sources. Data on expenditure and receipts correspond to two collections "EXPEND" (Social protection expenditure) and "RECEIPTS" (Social protection receipts). The collection "EXPEND" is composed by three groups: 1. expsum (Expenditure - Summary tables); it contains two summary tables: e sum Expenditure: main results. The data include the expenditure broken down in social benefits, administration cost and other expenditure. In addition, social benefits are classified by functions of social protection. e pens Pensions. The data include the social benefits relating to pensions (old age, disability, survivors and unemployment pensions). In addition the data are split between means-tested and non means-tested benefits. 2. expcur (Expenditure - Tables by functions and aggregated benefits); it contains five tables corresponding to different "currencies": national currencies (e nac), euros (e eur), Purchasing Power Standards (e pps), Purchasing Power Standards per head (e ppsh) and % of the GDP (e gdp). For each table data (social protection benefits) are published: according to the classification by function of social protection: eight functions (Sickness /Health care; Disability; Old age; Survivors; Family/children; Unemployment; Housing; Social exclusion not elsewhere classified) and the total of social benefits;according to the detailed classification of benefits by type - cash benefits and benefits in kind- and by characteristic -split between means-tested and non means-tested benefits.3. expfunc (Expenditure - Tables by benefits and currency); it contains nine tables corresponding to the eight different functions of social protection and one for the total of social benefits. In each table data are published according to the detailed classification of benefits by function, type and characteristic. The collection "RECEIPTS" is composed by two groups: 1. recsum (Receipts - Summary tables); it contains two tables: r sumt Receipts by type. The data include the receipts of social protection broken down in the different types of receipts - social contributions, general government contributions and other receipts. r sums Receipts by sector of origin. The data include the receipts of social protection broken down by the different sectors of origin -corporations, general government, households, non-profit institutions serving households, rest of the world. 2. reccur (Receipts by different "currencies"); it contains three tables: national currencies (r nac), euros (r eur) and % of the GDP (r gdp). For each table data (receipts) are published: according to the classification by types of receipts;according to the classification by sectors of origin.Data on net social protection benefits correspond to the table " spr_net_ben" (Net social protection benefits) in the collection "NET". The ESSPROS module on net social protection benefits (restricted approach) measures net expenditure by collecting information on the average rates of taxes and social contributions paid by recipients of each cash benefit reported in the Core system. These rates are then applied to the gross expenditure on each benefit to obtain a net value as follows: Net social benefits = Gross social benefits * (1 – AITR – AISCR) where AITR / AISCR are the Average itemized tax / social contribution rates. The net social protection benefits are complemented by the value of “Fiscal benefits” provided in the form of tax breaks that would be defined as social protection benefits, if they were provided in cash. Tax breaks promoting the provision of social protection or promoting private insurance plans are excluded. Exceptionally, if some fiscal benefits cannot be taken into account in the assessment of the actual taxes and social contributions paid on social benefits (this happens for few countries), then the value of net benefits should be complemented by the residual value of the fiscal benefit. In this case the formula above becomes: Net social benefits = Gross social benefits * (1 – AITR – AISCR) + Residual fiscal benefits In ESSPROS, fiscal benefits are defined as social protection provided in the form of tax breaks that would be defined as social protection benefits if they were provided in cash, excluding tax breaks promoting the provision of social protection or promoting private insurance plans. According to a 2015 decision of the Working Group on Social Protection Statistics, fiscal benefits in the form of payable tax credits should be included in full (cash component plus fiscal component) in the ESSPROS Core System while all other forms of fiscal benefit are excluded from the Core System and dealt with in the NET modules (the existing restricted approach module and the planned enlarged approach modules). More information is available in the Annex I "Payable tax credits".   Data on pension beneficiaries correspond to the collection "PENS" that contains the table "spr_pns_ben" (Pension Beneficiaries at 31 December of each year). The data include the number of recipients of one or more periodic cash benefits under a social protection scheme falling within seven pension categories grouped into four basic functions. The seven categories of pensions in this module are: Disability pension;Early retirement benefit due to reduced capacity to work;Old-age pension;Anticipated old-age pension;Partial pension;Survivor's pension;Early retirement benefit due to labour market reasons. The four functions of the module are: Disability (grouping the first two categories of pensions above);Old age (grouping the next three);Survivors (the sixth category);Unemployment (the last category). The data, available by gender for the total of schemes, are expressed in "units". Methodological definitions and more details about social protection classifications and breakdowns can be found in the ESSPROS Manual - The European System of integrated Social PROtection Statistics. Annexes:Payable tax credits
    • outubro 2023
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 17 outubro, 2023
      Selecionar Conjunto de dados
      The Regional well-being dataset presents eleven dimensions central for well-being at local level and for 395 OECD regions, covering material conditions (income, jobs and housing), quality of life (education, health, environment, safety and access to services) and subjective well-being (social network support and life satisfaction). The set of indicators selected to measure these dimensions is a combination of people's individual attributes and their local conditions, and in most cases, are available over two different years (2000 and 2014). Regions can be easily visualised and compared to other regions through the interactive website [www.oecdregionalwellbeing.org]. The dataset, the website and the publications "Regions at a Glance" and "How’s life in your region?" are outputs designed from the framework for regional and local well-being. The Regional income distribution dataset presents comparable data on sub-national differences in income inequality and poverty for OECD countries. The data by region provide information on income distribution within regions (Gini coefficients and income quintiles), and relative income poverty (with poverty thresholds set in respect of the national population) for 2013. These new data complement international assessments of differences across regions in living conditions by documenting how household income is distributed within regions and how many people are poor relatively to the typical citizen of their country. For analytical purposes, the OECD classifies regions as the first administrative tier of sub-national government, so called Territorial Level 2 or TL2 in the OECD classification. This classification is used by National Statistical Offices to collect information and it represents in many countries the framework for implementing regional policies. Well-being indicators are shown for the 395 TL2 OECD regions, equivalent of the NUTS2 for European countries, with the exception for Estonian where well-being data are presented at a smaller (TL3) level and for the Regional Income dataset, where Greece, Hungary and Poland data are presented at a more aggregated (NUTS1) level.
    • junho 2024
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 22 junho, 2024
      Selecionar Conjunto de dados
      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.
  • S
    • dezembro 2023
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 02 dezembro, 2023
      Selecionar Conjunto de dados
      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.
    • março 2018
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 17 março, 2018
      Selecionar Conjunto de dados
    • setembro 2022
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 09 setembro, 2022
      Selecionar Conjunto de dados
      The severe housing deprivation rate corresponds to the share of the population living in a dwelling which is considered as overcrowded, while also exhibiting at least one of the housing deprivation measures. Housing deprivation is a measure of poor amenities and is calculated by reference to households with a leaking roof, neither a bath, nor a shower, nor an indoor flushing toilet, or a dwelling considered too dark. The indicator is based on the EU-SILC (statistics on income, social inclusion and living conditions).
    • junho 2024
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 15 junho, 2024
      Selecionar Conjunto de dados
      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.
    • junho 2024
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 24 junho, 2024
      Selecionar Conjunto de dados
      Annual data on Household Final Consumption Expenditure broken down by COICOP-HBS (2003) categories and by certain cross-sectional variables. The main purpose of this survey at national level is to update the weights of the basket of goods and services used for the calculation of the HICP. However it may also be used for many other purposes either at national or European level: economic studies, social analyses, market research… Presented data are: mean consumption expenditure of private households; structure of mean consumption expenditure and household characteristics. Household final consumption expenditure is measured in national currency, Euro and PPS (purchasing power standard). HBS data are collected via the National HBS surveys in each participating country. Data collection involves a combination of one or more interviews and diaries or logs maintained by households and/or individuals, generally on a daily basis.    Data collection is approximately every 5 years: 1988, 1994, 1999, 2005 and 2010. Next reference year is 2015.
  • T
    • maio 2024
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 12 maio, 2024
      Selecionar Conjunto de dados
      The real gross disposable income of households per capita (index = 2008) is calculated as the unadjusted gross disposable income of households and Non-Profit Institutions Serving Households (NPISH) divided by the price deflator (price index) of household final consumption expenditure and by the total resident population. Then the indicator is indexed with base year 2008. The indicator is based on European sector accounts.
    • junho 2024
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 22 junho, 2024
      Selecionar Conjunto de dados
      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.