Sinaloa

Eurostat Dataset Id:lmp_ind_actsup The labour market policy (LMP) database was developed and maintained by Eurostat till 2013. From 2014, the LMP database is developed and maintained by European Commission's Directorate General for Employment, Social Affairs and Inclusion and LMP data are disseminated by Eurostat. European Commission's LMP database provides information on labour market interventions, which are government actions to help and support the unemployed and other disadvantaged groups in the transition from unemployment or inactivity to work. The scope of the LMP database is limited to interventions that are explicitly targeted at groups of persons with difficulties in the labour market: the unemployed, persons employed but at risk of involuntary job loss and persons currently considered as inactive persons but who would like to enter the labour market. LMP statistics are one of the data sources for monitoring the Employment Guidelines (part II of the Europe 2020 Integrated Guidelines) through the Europe 2020 Joint Assessment Framework (JAF). The guidelines specifically refer to the provision of active labour market policies, which cover LMP measures and LMP services, and adequate social security systems, which include LMP supports. The unit of observation in the LMP database is the labour market intervention and data on the expenditure and participants for each intervention are collected annually from administrative sources in each country. The database also collects extensive qualitative information that describes each intervention, how it works, the main target groups, etc. LMP interventions are classified by type of action into three broad types – services, measures and supports – and into 9 detailed categories (see 3.2 Classification system). The LMP database covers all EU Member States and Norway. Data for the EU-15 countries and Norway are available from 1998 whilst the more recently acceded EU countries started providing data at different times from 2003 onwards. The following data and metadata are available:Summary tables of expenditure and participants by type of actionFor each country: detailed tables of expenditure and participants by interventionLMP based indicators for monitoring the Employment Guidelines (for definitions see annexes below)Reference data on persons registered with Public Employment Services (PES)Qualitative reports describing the interventions in each country

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.

Eurostat Dataset Id:educ_bo_ou_terd The Bologna declaration was signed in 1999 by 29 European ministers responsible for higher education. Today, 46 signatory countries are engaged in the process towards a European Higher Education Area (EHEA). The Bologna Process is an intergovernmental initiative which also involves the European Commission, the Council of Europe and UNESCO-CEPES, as well as representatives of higher education institutions, students, staff, employers and quality assurance agencies. It aims to create a European Higher Education Area by 2010, and to promote the European system of higher education worldwide. More information on the Bologna process is available on http://ec.europa.eu/education/higher-education/doc1290_en.htm. In the framework of the indicators for the monitoring of the social dimension and mobility of the Bologna Process, the EU-SILC (EU Statistics on Income and Living Conditions) data of interest cover individual's educational attainment, income and, from the intergenerational transmission of poverty ad hoc module, educational attainment of the parents. The following data-sets, having EU-SILC as source, on the Bologna Process are available: A. Widening access educ_bo_ac_sobs: Individuals having completed tertiary education (ISCED 5-6), according to the educational background of their parents, by sexeduc_bo_ac_soba: Individuals having completed tertiary education (ISCED 5-6), according to the educational background of their parents, by age D. Effective outcomes and employability educ_bo_ou_attd: Annual gross income of workers by educational attainment (2006)educ_bo_ou_terd: Annual gross income of workers with tertiary education (ISCED 5-6) , by sex (2006) The general aim of the EU-SILC domain is to provide comparable statistics and indicators on key aspects of the citizens' living conditions across Europe. This domain actually contains a range of social statistics and indicators relating to the risks of income poverty and social exclusion. There are both conceptual and methodological problems in defining and measuring income poverty and social exclusion. Since a 1984 decision of the European Council, the following are regarded as poor: "those persons, families and groups of persons whose resources (material, cultural and social) are so limited as to exclude them from the minimum acceptable way of life in the Member State to which they belong". On this basis, measures of poverty at EU level adopt an approach which is both multi-dimensional and relative. In June 2006, a new set of common indicators for the social protection and social inclusion process was adopted. (For more details and definitions of these indicators: Indicators 2006). To investigate particular areas of policy interest in more detail, target secondary areas, to be collected every four years or less frequently, are added to the cross-sectional component of EU-SILC. "The intergenerational transmission of poverty" was chosen as the area to be implemented for 2005. This specific module, collected in 2005, had as purpose to collect and compile relevant and robust information on background factors linked to adult social exclusion, minimising the burden of respondents to provide accurate detailed indicators sufficiently comparable across the EU capturing the effects of childhood experiences on poverty risk. More general information on EU-SILC is available on ilc_base.htm

Eurostat Dataset Id:educ_bo_ou_attd The Bologna declaration was signed in 1999 by 29 European ministers responsible for higher education. Today, 46 signatory countries are engaged in the process towards a European Higher Education Area (EHEA). The Bologna Process is an intergovernmental initiative which also involves the European Commission, the Council of Europe and UNESCO-CEPES, as well as representatives of higher education institutions, students, staff, employers and quality assurance agencies. It aims to create a European Higher Education Area by 2010, and to promote the European system of higher education worldwide. More information on the Bologna process is available on http://ec.europa.eu/education/higher-education/doc1290_en.htm. In the framework of the indicators for the monitoring of the social dimension and mobility of the Bologna Process, the EU-SILC (EU Statistics on Income and Living Conditions) data of interest cover individual's educational attainment, income and, from the intergenerational transmission of poverty ad hoc module, educational attainment of the parents. The following data-sets, having EU-SILC as source, on the Bologna Process are available: A. Widening access educ_bo_ac_sobs: Individuals having completed tertiary education (ISCED 5-6), according to the educational background of their parents, by sexeduc_bo_ac_soba: Individuals having completed tertiary education (ISCED 5-6), according to the educational background of their parents, by age D. Effective outcomes and employability educ_bo_ou_attd: Annual gross income of workers by educational attainment (2006)educ_bo_ou_terd: Annual gross income of workers with tertiary education (ISCED 5-6) , by sex (2006) The general aim of the EU-SILC domain is to provide comparable statistics and indicators on key aspects of the citizens' living conditions across Europe. This domain actually contains a range of social statistics and indicators relating to the risks of income poverty and social exclusion. There are both conceptual and methodological problems in defining and measuring income poverty and social exclusion. Since a 1984 decision of the European Council, the following are regarded as poor: "those persons, families and groups of persons whose resources (material, cultural and social) are so limited as to exclude them from the minimum acceptable way of life in the Member State to which they belong". On this basis, measures of poverty at EU level adopt an approach which is both multi-dimensional and relative. In June 2006, a new set of common indicators for the social protection and social inclusion process was adopted. (For more details and definitions of these indicators: Indicators 2006). To investigate particular areas of policy interest in more detail, target secondary areas, to be collected every four years or less frequently, are added to the cross-sectional component of EU-SILC. "The intergenerational transmission of poverty" was chosen as the area to be implemented for 2005. This specific module, collected in 2005, had as purpose to collect and compile relevant and robust information on background factors linked to adult social exclusion, minimising the burden of respondents to provide accurate detailed indicators sufficiently comparable across the EU capturing the effects of childhood experiences on poverty risk. More general information on EU-SILC is available on ilc_base.htm

Eurostat Dataset Id:lfso_06finiagps Results from the 2006 LFS (Labour Force Survey) ad hoc module on 'transition form work into retirement'.

Eurostat Dataset Id:lfso_06otbnagps Results from the 2006 LFS (Labour Force Survey) ad hoc module on 'transition form work into retirement'.

Eurostat Dataset Id:lfso_06stafagps Results from the 2006 LFS (Labour Force Survey) ad hoc module on 'transition form work into retirement'. The aim of the ad hoc module was to know how the transition at the end of the career towards full retirement is expected to take place, takes place or took place: • plans for transitions/past transitions towards full retirement • plans for exit from work Another aim was to know which factors would be/were at play in determining the exit from work, and which factors could make/could have made persons postpone the exit from work: • working conditions factors (health and safety at the workplace, flexible working time arrangements …) • other factors linked to work (training/obsolescence of skills …) • financial factors (financial incentives to remain at work or to exit) • personal factors (health, family reasons …).  

Eurostat Dataset Id:lfso_06reasagps Results from the 2006 LFS (Labour Force Survey) ad hoc module on 'transition form work into retirement'.

Eurostat Dataset Id:earn_gr_nace2 This data collection has been discontinued in 2012. Data is only available up to reference year 2011. Annual data on average gross earnings and related employment are included in the Gross earnings - Annual data collection. Data are available for EU Member States, Norway, Iceland and Switzerland. Data are also broken down by: From reference year 2008 onwards average gross annual earnings per employee are providedby economic activity (NACE Rev.2 aggregates and sections B, C, D, E, F, G, H, I, J, K, L, M, N, O, P, Q, R, S, B_TO_E, B_TO_F, B_TO_N, B_TO_S_NOT_O, B_TO_S, G_TO_J, G_TO_N, G_TO_S_NOT_O, K_TO_N, P_TO_S and O_TO_S)for enterprises with 1+ and for enterprises with 10+ employees for the following breakdowns:FTU= full-time units, FT=full-time workers, PT=part-time workers by Total, Men and Women. Before 2008: data is broken down by economic activity (NACE Rev. 1.1 for Sections C to K and the C-E, C-F, G-I, J-K, G-K, C-K and for some Member States L, M-O, L-O and also C-O aggregates)FTU= full-time units, FT=full-time workers, PT=part-time workersgenderoccupation (ISCO-88 classification, one-digit level and the 1-5 and 7-9 aggregates)The data relate to the staff of enterprises having at least 10 employees in most countries. Countries provide these annual data using several statistical sources mainly the four-yearly SES, the EU Labour Force Survey and/or administrative data.

Eurostat Dataset Id:earn_gr_isco This data collection has been discontinued in 2012. Data is only available up to reference year 2011. Annual data on average gross earnings and related employment are included in the Gross earnings - Annual data collection. Data are available for EU Member States, Norway, Iceland and Switzerland. Data are also broken down by: From reference year 2008 onwards average gross annual earnings per employee are providedby economic activity (NACE Rev.2 aggregates and sections B, C, D, E, F, G, H, I, J, K, L, M, N, O, P, Q, R, S, B_TO_E, B_TO_F, B_TO_N, B_TO_S_NOT_O, B_TO_S, G_TO_J, G_TO_N, G_TO_S_NOT_O, K_TO_N, P_TO_S and O_TO_S)for enterprises with 1+ and for enterprises with 10+ employees for the following breakdowns:FTU= full-time units, FT=full-time workers, PT=part-time workers by Total, Men and Women. Before 2008: data is broken down by economic activity (NACE Rev. 1.1 for Sections C to K and the C-E, C-F, G-I, J-K, G-K, C-K and for some Member States L, M-O, L-O and also C-O aggregates)FTU= full-time units, FT=full-time workers, PT=part-time workersgenderoccupation (ISCO-88 classification, one-digit level and the 1-5 and 7-9 aggregates)The data relate to the staff of enterprises having at least 10 employees in most countries. Countries provide these annual data using several statistical sources mainly the four-yearly SES, the EU Labour Force Survey and/or administrative data.

Eurostat Dataset Id:lfsi_exi_a The indicator 'average exit age from the labour force' gives the average age of withdrawal from labour market. While based on European Union Labour Force Survey (EU-LFS) data, the indicator is calculated with special methods and periodidicty which justify the present page. The indicator is estimated with a probabilistic model, documented below, fed with data from the European Union Labour Force Survey (EU-LFS). The input data are activity rates by single age group. The indicator of 'Average exit age from the labour market' is published in the section 'LFS main indicators', which is a collection of the main statistics on the labour market. 'Population in jobless households' is also a Structural Indicator and a Sustainable Development Indicator. There are mainly two reasons to estimate the indicator with this probabilistic model instead of using a method based on self-reported retirement age, or based on people receiving pensions benefits: 1. EU-LFS data used follows definitions of employment and unemployment after the International Labour Organisation, as opposed to the notion of "being retired". There is no internationally harmonized statistical definition of retirement. 2. The method used allows to (indirectly) count definitive exits from the labour market. Instead, a retired person could potentially decide to return to the labour market, hence his/her exit would not be definitive.

Eurostat Dataset Id:lfso_04avovisco Results from the 2004 LFS (Labour Force Survey) ad hoc module on 'work organisation and working time arrangements'.

Eurostat Dataset Id:lfso_04avpoisco Results from the 2004 LFS (Labour Force Survey) ad hoc module on 'work organisation and working time arrangements'.

Eurostat Dataset Id:lfso_06finiyrsp Results from the 2006 LFS (Labour Force Survey) ad hoc module on 'transition form work into retirement'.

Eurostat Dataset Id:lfso_05nowreh Results from the 2005 LFS (Labour Force Survey) ad hoc module on 'reconciliation between work and family life'.

Eurostat Dataset Id:lfso_05typech Results from the 2005 LFS (Labour Force Survey) ad hoc module on 'reconciliation between work and family life'.

Eurostat Dataset Id:lfso_05regch Results from the 2005 LFS (Labour Force Survey) ad hoc module on 'reconciliation between work and family life'.

Eurostat Dataset Id:lfso_05changh Results from the 2005 LFS (Labour Force Survey) ad hoc module on 'reconciliation between work and family life'.

Eurostat Dataset Id:lfso_04vawkhwus Results from the 2004 LFS (Labour Force Survey) ad hoc module on 'work organisation and working time arrangements'.

Eurostat Dataset Id:lfso_04vahrhwus Results from the 2004 LFS (Labour Force Survey) ad hoc module on 'work organisation and working time arrangements'.

Data Cited at:  https://www.gob.mx/ Publication: http://www.stps.gob.mx/bp/secciones/conoce/areas_atencion/areas_atencion/web/menu_infsector.html Daily wage, workers associated with the formal sector (IMSS) by state, Frequency: Monthly. Unit: MXN. 2000-2016. For the topic "Minimum Salary", The council of representatives of the CONASAMI resolved, from November 27, 2012, to unify the geographical areas A and B with the same minimum wage ($62.33). Meanwhile, the geographical area C is marked B.

Eurostat Dataset Id:cpc_siemp  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)

Eurostat Dataset Id:trng_inf7 General description of the ad hoc modules supplementing the Labour Force Survey (LFS)

Eurostat Dataset Id:trng_cvts62 CVTS2, CVTS3 and CVTS4 data were collected with reference year 1999, 2005 and 2010 in order to provide harmonised, reliable and relevant statistical information on continuing vocational training in enterprises.CVT stands for continuing vocational training i.e. education and training occurring during paid working time or paid at least partially by employers (if training activities are organised outside paid working time). CVTS 2, 3 and 4 provide statistics on incidence of training in enterprises, participation of employees and volume of CVT courses, CVT costs as well as CVT strategies of enterprises including on Initial vocational training (IVT, i.e. apprenticeship). The section "past series on lifelong learning" presents tables which are no longer available in the same format or at the same level of precision as CVTS 4. The CVTS1 was the first survey on continuing vocational training in enterprises carried out on the EU level in a co-ordinated form (outline questionnaire, common definitions, and common recommendations with the respect to the fieldwork). The survey was of pioneering nature, and is not any longer disseminated due to lack of comparability with the following waves.

Eurostat Dataset Id:educ_bo_ou_mism The Bologna declaration was signed in 1999 by 29 European ministers responsible for higher education. Today, 46 signatory countries are engaged in the process towards a European Higher Education Area (EHEA). The Bologna Process is an intergovernmental initiative which also involves the European Commission, the Council of Europe and UNESCO-CEPES, as well as representatives of higher education institutions, students, staff, employers and quality assurance agencies. It aims to create a European Higher Education Area by 2010, and to promote the European system of higher education worldwide. More information on the Bologna process is available on http://ec.europa.eu/education/higher-education/doc1290_en.htm. In the framework of the indicators for the monitoring of the social dimension and mobility of the Bologna Process, the EU-SILC (EU Statistics on Income and Living Conditions) data of interest cover individual's educational attainment, income and, from the intergenerational transmission of poverty ad hoc module, educational attainment of the parents. The following data-sets, having EU-SILC as source, on the Bologna Process are available: A. Widening access educ_bo_ac_sobs: Individuals having completed tertiary education (ISCED 5-6), according to the educational background of their parents, by sexeduc_bo_ac_soba: Individuals having completed tertiary education (ISCED 5-6), according to the educational background of their parents, by age D. Effective outcomes and employability educ_bo_ou_attd: Annual gross income of workers by educational attainment (2006)educ_bo_ou_terd: Annual gross income of workers with tertiary education (ISCED 5-6) , by sex (2006) The general aim of the EU-SILC domain is to provide comparable statistics and indicators on key aspects of the citizens' living conditions across Europe. This domain actually contains a range of social statistics and indicators relating to the risks of income poverty and social exclusion. There are both conceptual and methodological problems in defining and measuring income poverty and social exclusion. Since a 1984 decision of the European Council, the following are regarded as poor: "those persons, families and groups of persons whose resources (material, cultural and social) are so limited as to exclude them from the minimum acceptable way of life in the Member State to which they belong". On this basis, measures of poverty at EU level adopt an approach which is both multi-dimensional and relative. In June 2006, a new set of common indicators for the social protection and social inclusion process was adopted. (For more details and definitions of these indicators: Indicators 2006). To investigate particular areas of policy interest in more detail, target secondary areas, to be collected every four years or less frequently, are added to the cross-sectional component of EU-SILC. "The intergenerational transmission of poverty" was chosen as the area to be implemented for 2005. This specific module, collected in 2005, had as purpose to collect and compile relevant and robust information on background factors linked to adult social exclusion, minimising the burden of respondents to provide accurate detailed indicators sufficiently comparable across the EU capturing the effects of childhood experiences on poverty risk. More general information on EU-SILC is available on ilc_base.htm

Eurostat Dataset Id:educ_bo_ou_mity The Bologna declaration was signed in 1999 by 29 European ministers responsible for higher education. Today, 46 signatory countries are engaged in the process towards a European Higher Education Area (EHEA). The Bologna Process is an intergovernmental initiative which also involves the European Commission, the Council of Europe and UNESCO-CEPES, as well as representatives of higher education institutions, students, staff, employers and quality assurance agencies. It aims to create a European Higher Education Area by 2010, and to promote the European system of higher education worldwide. More information on the Bologna process is available on http://ec.europa.eu/education/higher-education/doc1290_en.htm. The REFLEX project (standing for 'Research into Employment and professional FLEXibility') is a large scale international project that has been carried out in 16 different countries. It focuses on the demands that the modern knowledge society places on higher education graduates, and the degree to which higher education equips gradu­ates with the competencies to meet these demands. Specifically, it consists of a follow-up of the careers of highly skilled professionals who graduated in 2000. Data reported here refer to the 2005 survey and therefore focus on graduates from higher education (ISCED 5A, bachelor's and master's degree or equivalent) with more or less 5 years of experience since leaving higher education. This includes foreign students who graduated in the reference country, students who after graduation moved to another country, part-time students, distance learners, etc. For operational reasons, graduation cohorts instead of outflow cohorts were sampled, due to the lack of good registers in countries on who stayed in education and who did not. Some graduates continue their studies in higher education and enter the labour market a few years later. They will therefore have less than 5 years of experience and cannot directly be compared with graduates who entered the labour market immediately after graduation. The project focused on the careers of highly skilled professionals. The first ten years of these careers follow more or less the following pattern: an initial phase of transition to the labour market in which the focus is on searching for a job and integrating the labour market, a second phase in which essential professional expertise is gained and career patterns start to crystallise and a third phase in which graduates assume greater responsibility on the basis of their increasing professional expertise. Appropriate moments to survey these careers should correspond more or less with the transitions between these phases. Specifically, mismatch between qualification and occupation was measured in self report (what the respondent thinks about his/her job), and indirectly assessed through the two following questions: -         What type of education do you feel was most appropriate for this work? -         What field of study do you feel was most appropriate for this work? The first one was considered with regard to the achieved level of education in order to measure the vertical mismatch (between the actual skill level and the required one), while the second one was used to determine the horizontal mismatch (being at the relevant skill level, but in another field than that of graduation).

Eurostat Dataset Id:med_ps412 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â

Eurostat Dataset Id:edat_lfso_00t2 General description of the ad hoc modules supplementing the Labour Force Survey (LFS)

Eurostat Dataset Id:cens_01reisco The tables presented in the topic of educational level cover the total population for 31 countries (for more information on received tables and geographic coverage, see "2001 Census Round - Tables Received" in the Annex at the bottom of the page). The level of completeness of the tables depends largely on the availability of data at the respective national statistical institutes. There are four ways of collecting census data, namely: - the traditional method of using census questionnaires (exhaustive census); - the method of using registers and/or other administrative sources; - a combination of registers and/or other administrative sources and - surveys (complete enumerations or sample surveys). Other methods (other mixed census or micro-census) can be used as well. Details for the method employed by each country are provided in "2001 Census Method"in the Annex at the bottom of the page. In the same table you can find the dates on which the census was carried out in each country.

Eurostat Dataset Id:lfso_06yrspisco Results from the 2006 LFS (Labour Force Survey) ad hoc module on 'transition form work into retirement'.

Eurostat Dataset Id:med_ps411 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â

Employment and Occupation in Mexico

Employed by Sector in Mexico

Eurostat Dataset Id:med_ps413 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â

Eurostat Dataset Id:enpr_siemp The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.

Eurostat Dataset Id:trng_ent25 There are three main sources providing results on participation in education and training. - The Adult Education Survey (AES) is carried out every 5 years starting from 2011 and is designed to give detailed information on the participation of individuals in education and training activities. A pilot survey took place in 2007. The reference period for the participation in education and training activities is the twelve months prior to the interview. - The Labour Force Survey (LFS) provides annual evolutions for a limited set of indicators. The reference period for the participation in education and training activities is the four weeks prior to the interview. - The Continuing Vocational Training Survey (CVTS) completes the AES results each 5 years focussing on enterprise strategies for employee skill developments. The reference period for the participation in education and training activities is the four weeks prior to the interview. The time series for the indicator 'lifelong learning' (participation of adults aged 25-64 in education and training) is based on the EU-LFS (four-week reference period) which is, where necessary, adjusted and enriched in various ways, in accordance with the specificities of an indicator, including the following: - correction of the main breaks in the LFS series, - estimation of the missing values, (i.e. in case of missing quarters, annual results and EU aggregates are estimated using adjusted quarterly national labour force survey data or interpolations of the EU Labour Force Survey data with reference to the available quarter(s)) In addition to these series, an ad-hoc module to the LFS was conducted in 2003 on lifelong leaninng with similar characteristics to the AES (12-month reference period). Life-long learning is also part of the Sustainable Development Indicators.

Eurostat Dataset Id:lmp_expme_uk The labour market policy (LMP) database was developed and maintained by Eurostat till 2013. From 2014, the LMP database is developed and maintained by European Commission's Directorate General for Employment, Social Affairs and Inclusion and LMP data are disseminated by Eurostat. European Commission's LMP database provides information on labour market interventions, which are government actions to help and support the unemployed and other disadvantaged groups in the transition from unemployment or inactivity to work. The scope of the LMP database is limited to interventions that are explicitly targeted at groups of persons with difficulties in the labour market: the unemployed, persons employed but at risk of involuntary job loss and persons currently considered as inactive persons but who would like to enter the labour market. LMP statistics are one of the data sources for monitoring the Employment Guidelines (part II of the Europe 2020 Integrated Guidelines) through the Europe 2020 Joint Assessment Framework (JAF). The guidelines specifically refer to the provision of active labour market policies, which cover LMP measures and LMP services, and adequate social security systems, which include LMP supports. The unit of observation in the LMP database is the labour market intervention and data on the expenditure and participants for each intervention are collected annually from administrative sources in each country. The database also collects extensive qualitative information that describes each intervention, how it works, the main target groups, etc. LMP interventions are classified by type of action into three broad types – services, measures and supports – and into 9 detailed categories (see 3.2 Classification system). The LMP database covers all EU Member States and Norway. Data for the EU-15 countries and Norway are available from 1998 whilst the more recently acceded EU countries started providing data at different times from 2003 onwards. The following data and metadata are available:Summary tables of expenditure and participants by type of actionFor each country: detailed tables of expenditure and participants by interventionLMP based indicators for monitoring the Employment Guidelines (for definitions see annexes below)Reference data on persons registered with Public Employment Services (PES)Qualitative reports describing the interventions in each country

Eurostat Dataset Id:earn_gr_gpgr2ag The unadjusted Gender Pay Gap (GPG) represents the difference between average gross hourly earnings of male paid employees and of female paid employees as a percentage of average gross hourly earnings of male paid employees. From reference year 2006 onwards, the new GPG data is based on the methodology of the Structure of Earnings Survey (COUNCIL REGULATION EC No 530/1999 of 9 March 1999 concerning structural statistics on earnings and on labour costs) which is carried out every four years. The most recent available data refers to reference years 2002, 2006 and 2010. Whereas the GPG figures for 2006 and 2010 are directly computed from the 4-yearly SES, for the intermediate years countries provide annual estimates which every 4 years are revised, benchmarked on the SES results in the two respective years. Some countries calculate the annual GPG on a yearly SES and hence their data needs no further adjustment or revisions as the majority of the others. Data are broken down by economic activity (NACE: Statistical Classification of Economic Activities in the European Community), form of economic and financial control (public/private) of the enterprise, working profile (full-time / part-time) and age classes (six age groups) of employees.

Eurostat Dataset Id:earn_gr_gpgr2wt The unadjusted Gender Pay Gap (GPG) represents the difference between average gross hourly earnings of male paid employees and of female paid employees as a percentage of average gross hourly earnings of male paid employees. From reference year 2006 onwards, the new GPG data is based on the methodology of the Structure of Earnings Survey (COUNCIL REGULATION EC No 530/1999 of 9 March 1999 concerning structural statistics on earnings and on labour costs) which is carried out every four years. The most recent available data refers to reference years 2002, 2006 and 2010. Whereas the GPG figures for 2006 and 2010 are directly computed from the 4-yearly SES, for the intermediate years countries provide annual estimates which every 4 years are revised, benchmarked on the SES results in the two respective years. Some countries calculate the annual GPG on a yearly SES and hence their data needs no further adjustment or revisions as the majority of the others. Data are broken down by economic activity (NACE: Statistical Classification of Economic Activities in the European Community), form of economic and financial control (public/private) of the enterprise, working profile (full-time / part-time) and age classes (six age groups) of employees.

Eurostat Dataset Id:earn_gr_hgpg The gender pay gap is given as the difference between average gross hourly earnings of male paid employees and of female paid employees as a percentage of average gross hourly earnings of male paid employees. The gender pay gap is based on several data sources, including the European Community Household Panel (ECHP), the EU Survey on Income and Living Conditions (EU-SILC) and national sources.

Eurostat Dataset Id:lc_n08hour_r2 Labour cost statistics constitute a hierarchical system of multi-annual, yearly and quarterly statistics, designed to provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs. Structural information on labour costs is collected through four-yearly Labour Cost Surveys (LCSs), which provides details on level and structure of labour cost data, hours worked and hours paid. LCS results are available for the reference years 2000, 2004 and 2008. All EU Member States together with Norway, Iceland and Croatia (2004, 2008), Turkey and Macedonia (2008) participated in the LCS. As far as available data and confidentiality rules permit, all variables and proportions are further broken down by enterprise size category, economic activity and region (larger countries only). The data are collected by the National Statistical Institutes in most cases on the basis of stratified random samples of enterprises or local units, restricted in most countries to units with at least 10 employees. The stratification is based on economic activity, size category and region (where appropriate). Regional metadata is identical to the metadata provided for national data. Some countries also complement the survey results with administrative data. Monetary variables are expressed in EUR, national currencies (if different) and Purchasing Power Standards (PPS). Labour costs are quoted in total and per year, per month and per hour, as well as per capita and per full-time equivalents (FTE). Information on staff, hours worked and hours paid is quoted in aggregate and separately for full- and part-time employees. Labour cost statistics constitute a hierarchical system of multi-annual, yearly and quarterly statistics, designed to provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs.

Eurostat Dataset Id:trng_hour06s There are three main sources providing results on participation in education and training. - The Adult Education Survey (AES) is carried out every 5 years starting from 2011 and is designed to give detailed information on the participation of individuals in education and training activities. A pilot survey took place in 2007. The reference period for the participation in education and training activities is the twelve months prior to the interview. - The Labour Force Survey (LFS) provides annual evolutions for a limited set of indicators. The reference period for the participation in education and training activities is the four weeks prior to the interview. - The Continuing Vocational Training Survey (CVTS) completes the AES results each 5 years focussing on enterprise strategies for employee skill developments. The reference period for the participation in education and training activities is the four weeks prior to the interview. The time series for the indicator 'lifelong learning' (participation of adults aged 25-64 in education and training) is based on the EU-LFS (four-week reference period) which is, where necessary, adjusted and enriched in various ways, in accordance with the specificities of an indicator, including the following: - correction of the main breaks in the LFS series, - estimation of the missing values, (i.e. in case of missing quarters, annual results and EU aggregates are estimated using adjusted quarterly national labour force survey data or interpolations of the EU Labour Force Survey data with reference to the available quarter(s)) In addition to these series, an ad-hoc module to the LFS was conducted in 2003 on lifelong leaninng with similar characteristics to the AES (12-month reference period). Life-long learning is also part of the Sustainable Development Indicators.

Eurostat Dataset Id:trng_cvts76 CVTS2, CVTS3 and CVTS4 data were collected with reference year 1999, 2005 and 2010 in order to provide harmonised, reliable and relevant statistical information on continuing vocational training in enterprises. CVT stands for continuing vocational training i.e. education and training occurring during paid working time or paid at least partially by employers (if training activities are organised outside paid working time). CVTS 2, 3 and 4 provide statistics on incidence of training in enterprises, participation of employees and volume of CVT courses, CVT costs as well as CVT strategies of enterprises including on Initial vocational training (IVT, i.e. apprenticeship). The section "past series on lifelong learning" presents tables which are no longer available in the same format or at the same level of precision as CVTS 4. The CVTS1 was the first survey on continuing vocational training in enterprises carried out on the EU level in a co-ordinated form (outline questionnaire, common definitions, and common recommendations with the respect to the fieldwork). The survey was of pioneering nature, and is not any longer disseminated due to lack of comparability with the following waves.

Eurostat Dataset Id:trng_cvts78 CVTS2, CVTS3 and CVTS4 data were collected with reference year 1999, 2005 and 2010 in order to provide harmonised, reliable and relevant statistical information on continuing vocational training in enterprises.CVT stands for continuing vocational training i.e. education and training occurring during paid working time or paid at least partially by employers (if training activities are organised outside paid working time). CVTS 2, 3 and 4 provide statistics on incidence of training in enterprises, participation of employees and volume of CVT courses, CVT costs as well as CVT strategies of enterprises including on Initial vocational training (IVT, i.e. apprenticeship). The section "past series on lifelong learning" presents tables which are no longer available in the same format or at the same level of precision as CVTS 4. The CVTS1 was the first survey on continuing vocational training in enterprises carried out on the EU level in a co-ordinated form (outline questionnaire, common definitions, and common recommendations with the respect to the fieldwork). The survey was of pioneering nature, and is not any longer disseminated due to lack of comparability with the following waves.

Eurostat Dataset Id:trng_cvts72 CVTS2, CVTS3 and CVTS4 data were collected with reference year 1999, 2005 and 2010 in order to provide harmonised, reliable and relevant statistical information on continuing vocational training in enterprises.CVT stands for continuing vocational training i.e. education and training occurring during paid working time or paid at least partially by employers (if training activities are organised outside paid working time). CVTS 2, 3 and 4 provide statistics on incidence of training in enterprises, participation of employees and volume of CVT courses, CVT costs as well as CVT strategies of enterprises including on Initial vocational training (IVT, i.e. apprenticeship). The section "past series on lifelong learning" presents tables which are no longer available in the same format or at the same level of precision as CVTS 4. The CVTS1 was the first survey on continuing vocational training in enterprises carried out on the EU level in a co-ordinated form (outline questionnaire, common definitions, and common recommendations with the respect to the fieldwork). The survey was of pioneering nature, and is not any longer disseminated due to lack of comparability with the following waves.

Eurostat Dataset Id:trng_cvts27 CVTS2, CVTS3 and CVTS4 data were collected with reference year 1999, 2005 and 2010 in order to provide harmonised, reliable and relevant statistical information on continuing vocational training in enterprises.CVT stands for continuing vocational training i.e. education and training occurring during paid working time or paid at least partially by employers (if training activities are organised outside paid working time). CVTS 2, 3 and 4 provide statistics on incidence of training in enterprises, participation of employees and volume of CVT courses, CVT costs as well as CVT strategies of enterprises including on Initial vocational training (IVT, i.e. apprenticeship). The section "past series on lifelong learning" presents tables which are no longer available in the same format or at the same level of precision as CVTS 4. The CVTS1 was the first survey on continuing vocational training in enterprises carried out on the EU level in a co-ordinated form (outline questionnaire, common definitions, and common recommendations with the respect to the fieldwork). The survey was of pioneering nature, and is not any longer disseminated due to lack of comparability with the following waves.

Eurostat Dataset Id:trng_cvts74 CVTS2, CVTS3 and CVTS4 data were collected with reference year 1999, 2005 and 2010 in order to provide harmonised, reliable and relevant statistical information on continuing vocational training in enterprises.CVT stands for continuing vocational training i.e. education and training occurring during paid working time or paid at least partially by employers (if training activities are organised outside paid working time). CVTS 2, 3 and 4 provide statistics on incidence of training in enterprises, participation of employees and volume of CVT courses, CVT costs as well as CVT strategies of enterprises including on Initial vocational training (IVT, i.e. apprenticeship). The section "past series on lifelong learning" presents tables which are no longer available in the same format or at the same level of precision as CVTS 4. The CVTS1 was the first survey on continuing vocational training in enterprises carried out on the EU level in a co-ordinated form (outline questionnaire, common definitions, and common recommendations with the respect to the fieldwork). The survey was of pioneering nature, and is not any longer disseminated due to lack of comparability with the following waves.

Eurostat Dataset Id:lc_n00hour Labour cost statistics constitute a hierarchical system of multi-annual, yearly and quarterly statistics, designed to provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs. Structural information on labour costs is collected through four-yearly Labour Cost Surveys (LCSs), which provides details on level and structure of labour cost data, hours worked and hours paid. LCS results are available for the reference years 2000, 2004 and 2008. All EU Member States together with Norway, Iceland and Croatia (2004, 2008), Turkey and Macedonia (2008) participated in the LCS. As far as available data and confidentiality rules permit, all variables and proportions are further broken down by enterprise size category, economic activity and region (larger countries only). The data are collected by the National Statistical Institutes in most cases on the basis of stratified random samples of enterprises or local units, restricted in most countries to units with at least 10 employees. The stratification is based on economic activity, size category and region (where appropriate). Regional metadata is identical to the metadata provided for national data. Some countries also complement the survey results with administrative data. Monetary variables are expressed in EUR, national currencies (if different) and Purchasing Power Standards (PPS). Labour costs are quoted in total and per year, per month and per hour, as well as per capita and per full-time equivalents (FTE). Information on staff, hours worked and hours paid is quoted in aggregate and separately for full- and part-time employees. Labour cost statistics constitute a hierarchical system of multi-annual, yearly and quarterly statistics, designed to provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs.

Eurostat Dataset Id:sbs_sc_ind_r2 SBS covers the Nace Rev.2 Section B to N and division S95 which are organized in four annexes, covering Industry (sections B-E), Construction (F), Trade (G) and Services (H, I, J, L, M, N and S95). Financial services are covered in three specific annexes and separate metadata files have been compiled. Up to reference year 2007 data was presented using the NACE Rev.1.1 classification. The SBS coverage was limited to NACE Rev.1.1 Sections C to K. Starting from the reference year 2008 data is available in NACE Rev.2. Double reported data in NACE Rev.1.1 for the reference year 2008 will be available in the first and second quarter of 2011. Main characteristics (variables) of the SBS data category:Business Demographic variables (e.g. number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables               - labour input (e.g. Employment, Hours worked)               - goods and services input (e.g. Total of purchases)               - capital input (e.g. Material investments) Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4 digits). Some classes or groups in 'services' in NACE Rev 1.1 sections H, I, K have been aggregated. Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available. Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year is defined in Commission Regulation N° 251/2009.  For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by N°1614/2002 and N°1669/2003. SBS data are collected primarily by National Statistical Institutes (NSI). Regulatory or controlling national offices for financial institutions or central banks often provides the information required for the financial sector (NACE Rev 2 Section K / NACE  Rev 1.1 Section J). 

Eurostat Dataset Id:lc_lci_r1_cow Labour cost statistics constitute a hierarchical system of multi-annual, yearly and quarterly statistics, designed to provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs. The quarterly Labour Cost Index (LCI) is a Euro Indicator which measures the cost pressure arising from the production factor "labour". The data covered in the LCI collection relate to total average hourly labour costs and to the labour cost categories "wages and salaries" and "employers' social security contributions plus taxes paid minus subsidies received by the employer". Data - also broken down by economic activity, are available for the EU aggregates and EU Member States (NACE Rev 1.1 Sections C to K or NACE Rev 2 Sections B to S), in working day and seasonally adjusted form. The data on the Labour Cost Index are given in the form of index numbers (current reference year: 2008) and of annual and quarterly growth rates (comparison with the previous quarter, or the same quarter of the previous year). On annual basis the labour cost levels (in Euro and national currency) are also published, based on the latest Labour Cost Survey inflated by the LCI. In contrast to the information collected for the other Labour Cost domains, the labour costs covered in the LCI do not include vocational training costs and other expenditure such as recruitment costs and working clothes expenditure. The data are estimated by the National Statistical Institutes on the basis of available structural and short-term information from samples and administrative records for enterprises of all sizes.

Eurostat Dataset Id:lc_n08costot_r2 Labour cost statistics constitute a hierarchical system of multi-annual, yearly and quarterly statistics, designed to provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs. Structural information on labour costs is collected through four-yearly Labour Cost Surveys (LCSs), which provides details on level and structure of labour cost data, hours worked and hours paid. LCS results are available for the reference years 2000, 2004 and 2008. All EU Member States together with Norway, Iceland and Croatia (2004, 2008), Turkey and Macedonia (2008) participated in the LCS. As far as available data and confidentiality rules permit, all variables and proportions are further broken down by enterprise size category, economic activity and region (larger countries only). The data are collected by the National Statistical Institutes in most cases on the basis of stratified random samples of enterprises or local units, restricted in most countries to units with at least 10 employees. The stratification is based on economic activity, size category and region (where appropriate). Regional metadata is identical to the metadata provided for national data. Some countries also complement the survey results with administrative data. Monetary variables are expressed in EUR, national currencies (if different) and Purchasing Power Standards (PPS). Labour costs are quoted in total and per year, per month and per hour, as well as per capita and per full-time equivalents (FTE). Information on staff, hours worked and hours paid is quoted in aggregate and separately for full- and part-time employees. Labour cost statistics constitute a hierarchical system of multi-annual, yearly and quarterly statistics, designed to provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs.

Eurostat Dataset Id:lc_r04cost Labour cost statistics constitute a hierarchical system of multi-annual, yearly and quarterly statistics, designed to provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs. Structural information on labour costs is collected through four-yearly Labour Cost Surveys (LCSs), which provides details on level and structure of labour cost data, hours worked and hours paid. LCS results are available for the reference years 2000, 2004 and 2008. All EU Member States together with Norway, Iceland and Croatia (2004, 2008), Turkey and Macedonia (2008) participated in the LCS. As far as available data and confidentiality rules permit, all variables and proportions are further broken down by enterprise size category, economic activity and region (larger countries only). The data are collected by the National Statistical Institutes in most cases on the basis of stratified random samples of enterprises or local units, restricted in most countries to units with at least 10 employees. The stratification is based on economic activity, size category and region (where appropriate). Regional metadata is identical to the metadata provided for national data. Some countries also complement the survey results with administrative data. Monetary variables are expressed in EUR, national currencies (if different) and Purchasing Power Standards (PPS). Labour costs are quoted in total and per year, per month and per hour, as well as per capita and per full-time equivalents (FTE). Information on staff, hours worked and hours paid is quoted in aggregate and separately for full- and part-time employees. Labour cost statistics constitute a hierarchical system of multi-annual, yearly and quarterly statistics, designed to provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs.

Eurostat Dataset Id:lc_r08cost_r2 Labour cost statistics constitute a hierarchical system of multi-annual, yearly and quarterly statistics, designed to provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs. Structural information on labour costs is collected through four-yearly Labour Cost Surveys (LCSs), which provides details on level and structure of labour cost data, hours worked and hours paid. LCS results are available for the reference years 2000, 2004 and 2008. All EU Member States together with Norway, Iceland and Croatia (2004, 2008), Turkey and Macedonia (2008) participated in the LCS. As far as available data and confidentiality rules permit, all variables and proportions are further broken down by enterprise size category, economic activity and region (larger countries only). The data are collected by the National Statistical Institutes in most cases on the basis of stratified random samples of enterprises or local units, restricted in most countries to units with at least 10 employees. The stratification is based on economic activity, size category and region (where appropriate). Regional metadata is identical to the metadata provided for national data. Some countries also complement the survey results with administrative data. Monetary variables are expressed in EUR, national currencies (if different) and Purchasing Power Standards (PPS). Labour costs are quoted in total and per year, per month and per hour, as well as per capita and per full-time equivalents (FTE). Information on staff, hours worked and hours paid is quoted in aggregate and separately for full- and part-time employees. Labour cost statistics constitute a hierarchical system of multi-annual, yearly and quarterly statistics, designed to provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs.

Eurostat Dataset Id:lc_n00cost Labour cost statistics constitute a hierarchical system of multi-annual, yearly and quarterly statistics, designed to provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs. Structural information on labour costs is collected through four-yearly Labour Cost Surveys (LCSs), which provides details on level and structure of labour cost data, hours worked and hours paid. LCS results are available for the reference years 2000, 2004 and 2008. All EU Member States together with Norway, Iceland and Croatia (2004, 2008), Turkey and Macedonia (2008) participated in the LCS. As far as available data and confidentiality rules permit, all variables and proportions are further broken down by enterprise size category, economic activity and region (larger countries only). The data are collected by the National Statistical Institutes in most cases on the basis of stratified random samples of enterprises or local units, restricted in most countries to units with at least 10 employees. The stratification is based on economic activity, size category and region (where appropriate). Regional metadata is identical to the metadata provided for national data. Some countries also complement the survey results with administrative data. Monetary variables are expressed in EUR, national currencies (if different) and Purchasing Power Standards (PPS). Labour costs are quoted in total and per year, per month and per hour, as well as per capita and per full-time equivalents (FTE). Information on staff, hours worked and hours paid is quoted in aggregate and separately for full- and part-time employees. Labour cost statistics constitute a hierarchical system of multi-annual, yearly and quarterly statistics, designed to provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs.

Eurostat Dataset Id:lc_an_cost_r2 Labour cost statistics constitute a hierarchical system of multi-annual, yearly and quarterly statistics, designed to provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs. Annual labour cost data published here cover the core labour cost variables "average hourly labour costs" and "average monthly labour costs" as well as the breakdown of labour costs by main categories (wages and salaries; other labour costs). Average hourly and monthly labour costs as well as the structure of total annual labour costs per employee by economic activity are provided for enterprises with 1+ and for enterprises with 10+ employees.Data  are available for the EU Member States and partly for Iceland and Switzerland. The data are either collected by the National Statistical Institutes or, more frequently, estimated by them on the basis of their four-yearly Labour Cost Surveys (LCS), the Labour Cost Index (LCI) and additional up-to-date - though sometimes partial - information. Coverage of statistical units, thresholds and other methodological aspects are identical to that of the four yearly LCS.

Eurostat Dataset Id:ef_so_lfesu The domain EUROFARM (ef) contains information (statistical tables) on structure of agricultural holdings collected through agricultural structure surveys. The data of the domain have been organised into two collections:Results of the farm structure surveys contains data from 1990 onwardsStandard Gross Margin (SGM) and Standard Output (SO) coefficients. Farm Structure Survey data are used to collect information on agricultural holdings in the Member States at different geographic levels (Member States, regions, districts) and over periods (follow up the changes in agricultural sector), thus provide a base for decision making in the Common Agricultural Policy. Two kinds of Farm Structure Survey (FSS) are carried out by Member States:a basic survey (full scope Agricultural Census - AC) every 10 years,several sample based intermediate surveys between them. However for certain characteristics the Member States may use sample base for every survey. The calendar for the surveys to be held in all Member States is agreed by the Agricultural Statistics Committee of the European Commission. For a given survey year, Member States have to conduct their surveys within the agreed time-frame, thus all the data are as comparable as possible. The FSS are organised in all Member States on a harmonised base. Whereas the characteristics are based on community legislation, the same data are available for all countries in case of each survey. The data on individual agricultural holdings are collected by all Member States and sent to Eurostat. The aggregated results are disseminated through statistical tables. The variables are arranged into groups:one general overview with the key variables,and other specialized groups containing detailed data onland uselivestockspecial interest topics: farm labour force, rural development issues as well as management and practices. The scope of the survey is agriculture, while the survey unit is the agricultural holding (farm). Data for basic surveys are available in a three-level geographical breakdown of the whole country, the regions and the district; while data for intermediate surveys are only available upon the two-levels of country and regions. Since FSS 1999/2000 information about local farm location is collected in most countries, so that the data can also be disseminated by NUTS and are robust regarding the changes in the NUTS definition. The FSS 2009/2010 information is inline with the NUTS 2010 classification: Regulation (EU) No 31/2001 amending the NUTS classification from January 2012. The Eurofarm domain does not cover the whole territory only the land covered by the agricultural holdings. So the land use data without link with other farm characteristics should be downloaded by the user from the relevant domain. Specific national data about crops, animals or agricultural labour force can be found in other domains, without link between the other information at farm level. For a comprehensive description of the domain, please consult detailed structure (See annex at the bottom of the page). Regional Data Data for basic surveys are available in a three-level geographical breakdown of the whole country, the regions and the district; while data for intermediate surveys are only available upon the two-levels of country and regions. Since FSS 1999/2000 information about local farm location is collected in most countries, so that the data can also be disseminated by NUTS classification and are robust regarding the changes in the NUTS definition. The FSS 2009/2010 information is inline with the NUTS 2010 classification: Regulation (EU) No 31/2001 amending the NUTS classification from January 2012. Please note that for paragraphs where no metadata for regional data has been specified, the regional metadata is identical to the metadata provided for the national data.

Eurostat Dataset Id:ef_so_lfaa The domain EUROFARM (ef) contains information (statistical tables) on structure of agricultural holdings collected through agricultural structure surveys. The data of the domain have been organised into two collections:Results of the farm structure surveys contains data from 1990 onwardsStandard Gross Margin (SGM) and Standard Output (SO) coefficients. Farm Structure Survey data are used to collect information on agricultural holdings in the Member States at different geographic levels (Member States, regions, districts) and over periods (follow up the changes in agricultural sector), thus provide a base for decision making in the Common Agricultural Policy. Two kinds of Farm Structure Survey (FSS) are carried out by Member States:a basic survey (full scope Agricultural Census - AC) every 10 years,several sample based intermediate surveys between them. However for certain characteristics the Member States may use sample base for every survey. The calendar for the surveys to be held in all Member States is agreed by the Agricultural Statistics Committee of the European Commission. For a given survey year, Member States have to conduct their surveys within the agreed time-frame, thus all the data are as comparable as possible. The FSS are organised in all Member States on a harmonised base. Whereas the characteristics are based on community legislation, the same data are available for all countries in case of each survey. The data on individual agricultural holdings are collected by all Member States and sent to Eurostat. The aggregated results are disseminated through statistical tables. The variables are arranged into groups:one general overview with the key variables,and other specialized groups containing detailed data onland uselivestockspecial interest topics: farm labour force, rural development issues as well as management and practices. The scope of the survey is agriculture, while the survey unit is the agricultural holding (farm). Data for basic surveys are available in a three-level geographical breakdown of the whole country, the regions and the district; while data for intermediate surveys are only available upon the two-levels of country and regions. Since FSS 1999/2000 information about local farm location is collected in most countries, so that the data can also be disseminated by NUTS and are robust regarding the changes in the NUTS definition. The FSS 2009/2010 information is inline with the NUTS 2010 classification: Regulation (EU) No 31/2001 amending the NUTS classification from January 2012. The Eurofarm domain does not cover the whole territory only the land covered by the agricultural holdings. So the land use data without link with other farm characteristics should be downloaded by the user from the relevant domain. Specific national data about crops, animals or agricultural labour force can be found in other domains, without link between the other information at farm level. For a comprehensive description of the domain, please consult detailed structure (See annex at the bottom of the page). Regional Data Data for basic surveys are available in a three-level geographical breakdown of the whole country, the regions and the district; while data for intermediate surveys are only available upon the two-levels of country and regions. Since FSS 1999/2000 information about local farm location is collected in most countries, so that the data can also be disseminated by NUTS classification and are robust regarding the changes in the NUTS definition. The FSS 2009/2010 information is inline with the NUTS 2010 classification: Regulation (EU) No 31/2001 amending the NUTS classification from January 2012. Please note that for paragraphs where no metadata for regional data has been specified, the regional metadata is identical to the metadata provided for the national data.

Eurostat Dataset Id:lmp_ind_exp The labour market policy (LMP) database was developed and maintained by Eurostat till 2013. From 2014, the LMP database is developed and maintained by European Commission's Directorate General for Employment, Social Affairs and Inclusion and LMP data are disseminated by Eurostat. European Commission's LMP database provides information on labour market interventions, which are government actions to help and support the unemployed and other disadvantaged groups in the transition from unemployment or inactivity to work. The scope of the LMP database is limited to interventions that are explicitly targeted at groups of persons with difficulties in the labour market: the unemployed, persons employed but at risk of involuntary job loss and persons currently considered as inactive persons but who would like to enter the labour market. LMP statistics are one of the data sources for monitoring the Employment Guidelines (part II of the Europe 2020 Integrated Guidelines) through the Europe 2020 Joint Assessment Framework (JAF). The guidelines specifically refer to the provision of active labour market policies, which cover LMP measures and LMP services, and adequate social security systems, which include LMP supports. The unit of observation in the LMP database is the labour market intervention and data on the expenditure and participants for each intervention are collected annually from administrative sources in each country. The database also collects extensive qualitative information that describes each intervention, how it works, the main target groups, etc. LMP interventions are classified by type of action into three broad types – services, measures and supports – and into 9 detailed categories (see 3.2 Classification system). The LMP database covers all EU Member States and Norway. Data for the EU-15 countries and Norway are available from 1998 whilst the more recently acceded EU countries started providing data at different times from 2003 onwards. The following data and metadata are available:Summary tables of expenditure and participants by type of actionFor each country: detailed tables of expenditure and participants by interventionLMP based indicators for monitoring the Employment Guidelines (for definitions see annexes below)Reference data on persons registered with Public Employment Services (PES)Qualitative reports describing the interventions in each country

Eurostat Dataset Id:lmp_partsumm The labour market policy (LMP) database was developed and maintained by Eurostat till 2013. From 2014, the LMP database is developed and maintained by European Commission's Directorate General for Employment, Social Affairs and Inclusion and LMP data are disseminated by Eurostat. European Commission's LMP database provides information on labour market interventions, which are government actions to help and support the unemployed and other disadvantaged groups in the transition from unemployment or inactivity to work. The scope of the LMP database is limited to interventions that are explicitly targeted at groups of persons with difficulties in the labour market: the unemployed, persons employed but at risk of involuntary job loss and persons currently considered as inactive persons but who would like to enter the labour market. LMP statistics are one of the data sources for monitoring the Employment Guidelines (part II of the Europe 2020 Integrated Guidelines) through the Europe 2020 Joint Assessment Framework (JAF). The guidelines specifically refer to the provision of active labour market policies, which cover LMP measures and LMP services, and adequate social security systems, which include LMP supports. The unit of observation in the LMP database is the labour market intervention and data on the expenditure and participants for each intervention are collected annually from administrative sources in each country. The database also collects extensive qualitative information that describes each intervention, how it works, the main target groups, etc. LMP interventions are classified by type of action into three broad types – services, measures and supports – and into 9 detailed categories (see 3.2 Classification system). The LMP database covers all EU Member States and Norway. Data for the EU-15 countries and Norway are available from 1998 whilst the more recently acceded EU countries started providing data at different times from 2003 onwards. The following data and metadata are available:Summary tables of expenditure and participants by type of actionFor each country: detailed tables of expenditure and participants by interventionLMP based indicators for monitoring the Employment Guidelines (for definitions see annexes below)Reference data on persons registered with Public Employment Services (PES)Qualitative reports describing the interventions in each country

Eurostat Dataset Id:lfso_05nowree Results from the 2005 LFS (Labour Force Survey) ad hoc module on 'reconciliation between work and family life'.

Eurostat Dataset Id:lfso_05nowrep Results from the 2005 LFS (Labour Force Survey) ad hoc module on 'reconciliation between work and family life'.

Eurostat Dataset Id:lfso_06finiisco Results from the 2006 LFS (Labour Force Survey) ad hoc module on 'transition form work into retirement'.

Eurostat Dataset Id:lfso_05nowre2 Results from the 2005 LFS (Labour Force Survey) ad hoc module on 'reconciliation between work and family life'.

Eurostat Dataset Id:lfso_05nowre1 Results from the 2005 LFS (Labour Force Survey) ad hoc module on 'reconciliation between work and family life'.

Eurostat Dataset Id:lfso_06reasstaf Results from the 2006 LFS (Labour Force Survey) ad hoc module on 'transition form work into retirement'.

Eurostat Dataset Id:lfso_05typece Results from the 2005 LFS (Labour Force Survey) ad hoc module on 'reconciliation between work and family life'.

Eurostat Dataset Id:trng_nfe18 General description of the ad hoc modules supplementing the Labour Force Survey (LFS)

Eurostat Dataset Id:trng_nfe15 General description of the ad hoc modules supplementing the Labour Force Survey (LFS)

Eurostat Dataset Id:earn_mw_avgr2 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).

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).

Eurostat Dataset Id:lfso_06otbnyrsp Results from the 2006 LFS (Labour Force Survey) ad hoc module on 'transition form work into retirement'.

Eurostat Dataset Id:lfso_06yrspispr Results from the 2006 LFS (Labour Force Survey) ad hoc module on 'transition form work into retirement'.

Eurostat Dataset Id:lfso_06 plagftpt Results from the 2006 LFS (Labour Force Survey) ad hoc module on 'transition form work into retirement'.

Eurostat Dataset Id:lfso_05reduc2 Results from the 2005 LFS (Labour Force Survey) ad hoc module on 'reconciliation between work and family life'.

Eurostat Dataset Id:lfso_05reduc1 Results from the 2005 LFS (Labour Force Survey) ad hoc module on 'reconciliation between work and family life'.

Eurostat Dataset Id:lfso_05regce Results from the 2005 LFS (Labour Force Survey) ad hoc module on 'reconciliation between work and family life'.

Eurostat Dataset Id:lfso_05timee1 Results from the 2005 LFS (Labour Force Survey) ad hoc module on 'reconciliation between work and family life'.

Eurostat Dataset Id:lfso_05timee3 Results from the 2005 LFS (Labour Force Survey) ad hoc module on 'reconciliation between work and family life'.

Eurostat Dataset Id:lfso_05posoe2 Results from the 2005 LFS (Labour Force Survey) ad hoc module on 'reconciliation between work and family life'.

Eurostat Dataset Id:lfso_05posse2 Results from the 2005 LFS (Labour Force Survey) ad hoc module on 'reconciliation between work and family life'.

Eurostat Dataset Id:lfso_05change Results from the 2005 LFS (Labour Force Survey) ad hoc module on 'reconciliation between work and family life'.

Eurostat Dataset Id:lfso_06redeftpt Results from the 2006 LFS (Labour Force Survey) ad hoc module on 'transition form work into retirement'.

Eurostat Dataset Id:lfso_06flexisco Results from the 2006 LFS (Labour Force Survey) ad hoc module on 'transition form work into retirement'.

Eurostat Dataset Id:lfso_06hlsaisco Results from the 2006 LFS (Labour Force Survey) ad hoc module on 'transition form work into retirement'.

Eurostat Dataset Id:lfso_06opskisco Results from the 2006 LFS (Labour Force Survey) ad hoc module on 'transition form work into retirement'.

Eurostat Dataset Id:earn_gr_empnac2 This data collection has been discontinued in 2012. Data is only available up to reference year 2011. Annual data on average gross earnings and related employment are included in the Gross earnings - Annual data collection. Data are available for EU Member States, Norway, Iceland and Switzerland. Data are also broken down by: From reference year 2008 onwards average gross annual earnings per employee are providedby economic activity (NACE Rev.2 aggregates and sections B, C, D, E, F, G, H, I, J, K, L, M, N, O, P, Q, R, S, B_TO_E, B_TO_F, B_TO_N, B_TO_S_NOT_O, B_TO_S, G_TO_J, G_TO_N, G_TO_S_NOT_O, K_TO_N, P_TO_S and O_TO_S)for enterprises with 1+ and for enterprises with 10+ employees for the following breakdowns:FTU= full-time units, FT=full-time workers, PT=part-time workers by Total, Men and Women. Before 2008: data is broken down by economic activity (NACE Rev. 1.1 for Sections C to K and the C-E, C-F, G-I, J-K, G-K, C-K and for some Member States L, M-O, L-O and also C-O aggregates)FTU= full-time units, FT=full-time workers, PT=part-time workersgenderoccupation (ISCO-88 classification, one-digit level and the 1-5 and 7-9 aggregates)The data relate to the staff of enterprises having at least 10 employees in most countries. Countries provide these annual data using several statistical sources mainly the four-yearly SES, the EU Labour Force Survey and/or administrative data.

Eurostat Dataset Id:lfso_04wk1pisco Results from the 2004 LFS (Labour Force Survey) ad hoc module on 'work organisation and working time arrangements'.

Eurostat Dataset Id:lfso_04wk2pisco Results from the 2004 LFS (Labour Force Survey) ad hoc module on 'work organisation and working time arrangements'.

Eurostat Dataset Id:lfso_04vahrisco Results from the 2004 LFS (Labour Force Survey) ad hoc module on 'work organisation and working time arrangements'.

Eurostat Dataset Id:lfso_04vawkisco Results from the 2004 LFS (Labour Force Survey) ad hoc module on 'work organisation and working time arrangements'.

Eurostat Dataset Id:lc_n08num1_r2 Labour cost statistics constitute a hierarchical system of multi-annual, yearly and quarterly statistics, designed to provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs. Structural information on labour costs is collected through four-yearly Labour Cost Surveys (LCSs), which provides details on level and structure of labour cost data, hours worked and hours paid. LCS results are available for the reference years 2000, 2004 and 2008. All EU Member States together with Norway, Iceland and Croatia (2004, 2008), Turkey and Macedonia (2008) participated in the LCS. As far as available data and confidentiality rules permit, all variables and proportions are further broken down by enterprise size category, economic activity and region (larger countries only). The data are collected by the National Statistical Institutes in most cases on the basis of stratified random samples of enterprises or local units, restricted in most countries to units with at least 10 employees. The stratification is based on economic activity, size category and region (where appropriate). Regional metadata is identical to the metadata provided for national data. Some countries also complement the survey results with administrative data. Monetary variables are expressed in EUR, national currencies (if different) and Purchasing Power Standards (PPS). Labour costs are quoted in total and per year, per month and per hour, as well as per capita and per full-time equivalents (FTE). Information on staff, hours worked and hours paid is quoted in aggregate and separately for full- and part-time employees. Labour cost statistics constitute a hierarchical system of multi-annual, yearly and quarterly statistics, designed to provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs.

Eurostat Dataset Id:lc_r04num1 Labour cost statistics constitute a hierarchical system of multi-annual, yearly and quarterly statistics, designed to provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs. Structural information on labour costs is collected through four-yearly Labour Cost Surveys (LCSs), which provides details on level and structure of labour cost data, hours worked and hours paid. LCS results are available for the reference years 2000, 2004 and 2008. All EU Member States together with Norway, Iceland and Croatia (2004, 2008), Turkey and Macedonia (2008) participated in the LCS. As far as available data and confidentiality rules permit, all variables and proportions are further broken down by enterprise size category, economic activity and region (larger countries only). The data are collected by the National Statistical Institutes in most cases on the basis of stratified random samples of enterprises or local units, restricted in most countries to units with at least 10 employees. The stratification is based on economic activity, size category and region (where appropriate). Regional metadata is identical to the metadata provided for national data. Some countries also complement the survey results with administrative data. Monetary variables are expressed in EUR, national currencies (if different) and Purchasing Power Standards (PPS). Labour costs are quoted in total and per year, per month and per hour, as well as per capita and per full-time equivalents (FTE). Information on staff, hours worked and hours paid is quoted in aggregate and separately for full- and part-time employees. Labour cost statistics constitute a hierarchical system of multi-annual, yearly and quarterly statistics, designed to provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs.

Eurostat Dataset Id:lc_r08num1_r2 Labour cost statistics constitute a hierarchical system of multi-annual, yearly and quarterly statistics, designed to provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs. Structural information on labour costs is collected through four-yearly Labour Cost Surveys (LCSs), which provides details on level and structure of labour cost data, hours worked and hours paid. LCS results are available for the reference years��2000, 2004 and 2008. All EU Member States together with Norway, Iceland and Croatia (2004, 2008), Turkey and Macedonia (2008) participated in the LCS. As far as available data and confidentiality rules permit, all variables and proportions are further broken down by enterprise size category, economic activity and region (larger countries only). The data are collected by the National Statistical Institutes in most cases on the basis of stratified random samples of enterprises or local units, restricted in most countries to units with at least 10 employees. The stratification is based on economic activity, size category and region (where appropriate). Regional metadata is identical to the metadata provided for national data. Some countries also complement the survey results with administrative data. Monetary variables are expressed in EUR, national currencies (if different) and Purchasing Power Standards (PPS). Labour costs are quoted in total and per year, per month and per hour, as well as per capita and per full-time equivalents (FTE). Information on staff, hours worked and hours paid is quoted in aggregate and separately for full- and part-time employees. Labour cost statistics constitute a hierarchical system of multi-annual, yearly and quarterly statistics, designed to provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs.

Eurostat Dataset Id:lc_n08num2_r2 Labour cost statistics provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs. Structural information on labour costs is collected through four-yearly Labour Cost Surveys (LCS), which provides details on the level and structure of labour cost data, hours worked and hours paid. LCS results are available for the reference years 2000, 2004, 2008 and 2012. All EU Member States together with Norway and Iceland (2004 onwards), Turkey and Macedonia (2008), as well as Serbia (2012) participated in the LCS. As far as available data and confidentiality rules permit, all variables and proportions are further broken down by enterprise size category, economic activity and region (for larger countries only). The data are collected by the National Statistical Institutes in most cases on the basis of stratified random samples of enterprises or local units, restricted in most countries to units with at least 10 employees. The stratification is based on economic activity, size category and region (where appropriate). Regional metadata is identical to the metadata provided for national data. Some countries also complement the survey results with administrative data. Monetary variables are expressed in EUR, national currencies (for non-euro-area countries) and Purchasing Power Standards (PPS). Labour costs are quoted in total per year, per month and per hour, as well as per capita and per full-time equivalents (FTE). Information on staff, hours worked and hours paid is quoted in aggregate and separately for full- and part-time employees.

Eurostat Dataset Id:lc_r04num2 Labour cost statistics constitute a hierarchical system of multi-annual, yearly and quarterly statistics, designed to provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs. Structural information on labour costs is collected through four-yearly Labour Cost Surveys (LCSs), which provides details on level and structure of labour cost data, hours worked and hours paid. LCS results are available for the reference years 2000, 2004 and 2008. All EU Member States together with Norway, Iceland and Croatia (2004, 2008), Turkey and Macedonia (2008) participated in the LCS. As far as available data and confidentiality rules permit, all variables and proportions are further broken down by enterprise size category, economic activity and region (larger countries only). The data are collected by the National Statistical Institutes in most cases on the basis of stratified random samples of enterprises or local units, restricted in most countries to units with at least 10 employees. The stratification is based on economic activity, size category and region (where appropriate). Regional metadata is identical to the metadata provided for national data. Some countries also complement the survey results with administrative data. Monetary variables are expressed in EUR, national currencies (if different) and Purchasing Power Standards (PPS). Labour costs are quoted in total and per year, per month and per hour, as well as per capita and per full-time equivalents (FTE). Information on staff, hours worked and hours paid is quoted in aggregate and separately for full- and part-time employees. Labour cost statistics constitute a hierarchical system of multi-annual, yearly and quarterly statistics, designed to provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs.

Eurostat Dataset Id:lc_r08num2_r2 Labour cost statistics constitute a hierarchical system of multi-annual, yearly and quarterly statistics, designed to provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs. Structural information on labour costs is collected through four-yearly Labour Cost Surveys (LCSs), which provides details on level and structure of labour cost data, hours worked and hours paid. LCS results are available for the reference years 2000, 2004 and 2008. All EU Member States together with Norway, Iceland and Croatia (2004, 2008), Turkey and Macedonia (2008) participated in the LCS. As far as available data and confidentiality rules permit, all variables and proportions are further broken down by enterprise size category, economic activity and region (larger countries only). The data are collected by the National Statistical Institutes in most cases on the basis of stratified random samples of enterprises or local units, restricted in most countries to units with at least 10 employees. The stratification is based on economic activity, size category and region (where appropriate). Regional metadata is identical to the metadata provided for national data. Some countries also complement the survey results with administrative data. Monetary variables are expressed in EUR, national currencies (if different) and Purchasing Power Standards (PPS). Labour costs are quoted in total and per year, per month and per hour, as well as per capita and per full-time equivalents (FTE). Information on staff, hours worked and hours paid is quoted in aggregate and separately for full- and part-time employees. Labour cost statistics constitute a hierarchical system of multi-annual, yearly and quarterly statistics, designed to provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs.

Eurostat Dataset Id:lfso_06rednsage Results from the 2006 LFS (Labour Force Survey) ad hoc module on 'transition form work into retirement'.

Eurostat Dataset Id:lfso_06flexispr Results from the 2006 LFS (Labour Force Survey) ad hoc module on 'transition form work into retirement'.

Eurostat Dataset Id:lfso_06hlsaispr Results from the 2006 LFS (Labour Force Survey) ad hoc module on 'transition form work into retirement'.

Eurostat Dataset Id:lfso_06opskispr Results from the 2006 LFS (Labour Force Survey) ad hoc module on 'transition form work into retirement'.

Eurostat Dataset Id:lfso_04wktpisco Results from the 2004 LFS (Labour Force Survey) ad hoc module on 'work organisation and working time arrangements'.

Eurostat Dataset Id:lfso_05regcp Results from the 2005 LFS (Labour Force Survey) ad hoc module on 'reconciliation between work and family life'.

Eurostat Dataset Id:lfso_05changp Results from the 2005 LFS (Labour Force Survey) ad hoc module on 'reconciliation between work and family life'.

Eurostat Dataset Id:lfso_04ownmisco Results from the 2004 LFS (Labour Force Survey) ad hoc module on 'work organisation and working time arrangements'.

Eurostat Dataset Id:lc_r04stu Labour cost statistics constitute a hierarchical system of multi-annual, yearly and quarterly statistics, designed to provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs. Structural information on labour costs is collected through four-yearly Labour Cost Surveys (LCSs), which provides details on level and structure of labour cost data, hours worked and hours paid. LCS results are available for the reference years 2000, 2004 and 2008. All EU Member States together with Norway, Iceland and Croatia (2004, 2008), Turkey and Macedonia (2008) participated in the LCS. As far as available data and confidentiality rules permit, all variables and proportions are further broken down by enterprise size category, economic activity and region (larger countries only). The data are collected by the National Statistical Institutes in most cases on the basis of stratified random samples of enterprises or local units, restricted in most countries to units with at least 10 employees. The stratification is based on economic activity, size category and region (where appropriate). Regional metadata is identical to the metadata provided for national data. Some countries also complement the survey results with administrative data. Monetary variables are expressed in EUR, national currencies (if different) and Purchasing Power Standards (PPS). Labour costs are quoted in total and per year, per month and per hour, as well as per capita and per full-time equivalents (FTE). Information on staff, hours worked and hours paid is quoted in aggregate and separately for full- and part-time employees. Labour cost statistics constitute a hierarchical system of multi-annual, yearly and quarterly statistics, designed to provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs.

Eurostat Dataset Id:lc_r08stu_r2 Labour cost statistics constitute a hierarchical system of multi-annual, yearly and quarterly statistics, designed to provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs. Structural information on labour costs is collected through four-yearly Labour Cost Surveys (LCSs), which provides details on level and structure of labour cost data, hours worked and hours paid. LCS results are available for the reference years 2000, 2004 and 2008. All EU Member States together with Norway, Iceland and Croatia (2004, 2008), Turkey and Macedonia (2008) participated in the LCS. As far as available data and confidentiality rules permit, all variables and proportions are further broken down by enterprise size category, economic activity and region (larger countries only). The data are collected by the National Statistical Institutes in most cases on the basis of stratified random samples of enterprises or local units, restricted in most countries to units with at least 10 employees. The stratification is based on economic activity, size category and region (where appropriate). Regional metadata is identical to the metadata provided for national data. Some countries also complement the survey results with administrative data. Monetary variables are expressed in EUR, national currencies (if different) and Purchasing Power Standards (PPS). Labour costs are quoted in total and per year, per month and per hour, as well as per capita and per full-time equivalents (FTE). Information on staff, hours worked and hours paid is quoted in aggregate and separately for full- and part-time employees. Labour cost statistics constitute a hierarchical system of multi-annual, yearly and quarterly statistics, designed to provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs.

Eurostat Dataset Id:lmp_partme_uk The labour market policy (LMP) database was developed and maintained by Eurostat till 2013. From 2014, the LMP database is developed and maintained by European Commission's Directorate General for Employment, Social Affairs and Inclusion and LMP data are disseminated by Eurostat. European Commission's LMP database provides information on labour market interventions, which are government actions to help and support the unemployed and other disadvantaged groups in the transition from unemployment or inactivity to work. The scope of the LMP database is limited to interventions that are explicitly targeted at groups of persons with difficulties in the labour market: the unemployed, persons employed but at risk of involuntary job loss and persons currently considered as inactive persons but who would like to enter the labour market. LMP statistics are one of the data sources for monitoring the Employment Guidelines (part II of the Europe 2020 Integrated Guidelines) through the Europe 2020 Joint Assessment Framework (JAF). The guidelines specifically refer to the provision of active labour market policies, which cover LMP measures and LMP services, and adequate social security systems, which include LMP supports. The unit of observation in the LMP database is the labour market intervention and data on the expenditure and participants for each intervention are collected annually from administrative sources in each country. The database also collects extensive qualitative information that describes each intervention, how it works, the main target groups, etc. LMP interventions are classified by type of action into three broad types – services, measures and supports – and into 9 detailed categories (see 3.2 Classification system). The LMP database covers all EU Member States and Norway. Data for the EU-15 countries and Norway are available from 1998 whilst the more recently acceded EU countries started providing data at different times from 2003 onwards. The following data and metadata are available:Summary tables of expenditure and participants by type of actionFor each country: detailed tables of expenditure and participants by interventionLMP based indicators for monitoring the Employment Guidelines (for definitions see annexes below)Reference data on persons registered with Public Employment Services (PES)Qualitative reports describing the interventions in each country

Eurostat Dataset Id:trng_inf9 General description of the ad hoc modules supplementing the Labour Force Survey (LFS)

Eurostat Dataset Id:trng_any2 General description of the ad hoc modules supplementing the Labour Force Survey (LFS)

Eurostat Dataset Id:trng_inf2 General description of the ad hoc modules supplementing the Labour Force Survey (LFS)

Eurostat Dataset Id:trng_nfe8 The European Union Labour Force Survey (EU-LFS) provides population estimates for the main labour market characteristics, such as employment, unemployment, inactivity, hours of work, occupation, economic activity and much else, as well as important socio-demographic characteristics, such as sex, age, education, households and regions of residence. Since 1999 an inherent part of the European Union labour force survey (LFS) are the so called 'ad-hoc modules' (AHM). Council Regulation No 577/98 specifies that a further set of variables (the AHM) may be added to supplement the information obtained from the core questionnaire of the LFS. The topic covered by the ad hoc module change every year, although some of them have been repeated.

Eurostat Dataset Id:trng_nfe7 The European Union Labour Force Survey (EU-LFS) provides population estimates for the main labour market characteristics, such as employment, unemployment, inactivity, hours of work, occupation, economic activity and much else, as well as important socio-demographic characteristics, such as sex, age, education, households and regions of residence. Since 1999 an inherent part of the European Union labour force survey (LFS) are the so called 'ad-hoc modules' (AHM). Council Regulation No 577/98 specifies that a further set of variables (the AHM) may be added to supplement the information obtained from the core questionnaire of the LFS. The topic covered by the ad hoc module change every year, although some of them have been repeated.

Eurostat Dataset Id:hlth_db_emaspr In order to provide data for the European Year of People with Disabilities 2003, the 2002 European Union Labour Force Survey (LFS) contained an ad hoc module concerning the employment of disabled people. The module consisted of 11 variables dealing with the existence, type, cause and duration of longstanding health problem or disability, work limitations (regarding the kind of work or the amount of work, and mobility problems), and assistance needed or provided to work. The results refer to persons aged 16-64 years, living in private households. Disabled persons are those who stated that they had a longstanding health problem or disability (LSHPD) for 6 months or more or expected to last 6 months or more. The indicator used is the percentage prevalence of people with disabilities in various socioeconomic groups as well as the percentage distribution of certain characteristics of disability or of certain socioeconomic characteristics among those reporting disability. The survey was conducted in all the 15 old Member States of the EU as well as in 9 at that time acceding or candidate countries (Czech Republic, Estonia, Cyprus, Latvia, Hungary, Malta, Slovenia, Slovak Republic and Romania) and in Norway.

Eurostat Dataset Id:trng_cvts3_40 There are three main sources providing results on participation in education and training. - The Adult Education Survey (AES) is carried out every 5 years starting from 2011 and is designed to give detailed information on the participation of individuals in education and training activities. A pilot survey took place in 2007. The reference period for the participation in education and training activities is the twelve months prior to the interview. - The Labour Force Survey (LFS) provides annual evolutions for a limited set of indicators. The reference period for the participation in education and training activities is the four weeks prior to the interview. - The Continuing Vocational Training Survey (CVTS) completes the AES results each 5 years focussing on enterprise strategies for employee skill developments. The reference period for the participation in education and training activities is the four weeks prior to the interview. The time series for the indicator 'lifelong learning' (participation of adults aged 25-64 in education and training) is based on the EU-LFS (four-week reference period) which is, where necessary, adjusted and enriched in various ways, in accordance with the specificities of an indicator, including the following: - correction of the main breaks in the LFS series, - estimation of the missing values, (i.e. in case of missing quarters, annual results and EU aggregates are estimated using adjusted quarterly national labour force survey data or interpolations of the EU Labour Force Survey data with reference to the available quarter(s)) In addition to these series, an ad-hoc module to the LFS was conducted in 2003 on lifelong leaninng with similar characteristics to the AES (12-month reference period). Life-long learning is also part of the Sustainable Development Indicators.

Eurostat Dataset Id:trng_ent05n There are three main sources providing results on participation in education and training. - The Adult Education Survey (AES) is carried out every 5 years starting from 2011 and is designed to give detailed information on the participation of individuals in education and training activities. A pilot survey took place in 2007. The reference period for the participation in education and training activities is the twelve months prior to the interview. - The Labour Force Survey (LFS) provides annual evolutions for a limited set of indicators. The reference period for the participation in education and training activities is the four weeks prior to the interview. - The Continuing Vocational Training Survey (CVTS) completes the AES results each 5 years focussing on enterprise strategies for employee skill developments. The reference period for the participation in education and training activities is the four weeks prior to the interview. The time series for the indicator 'lifelong learning' (participation of adults aged 25-64 in education and training) is based on the EU-LFS (four-week reference period) which is, where necessary, adjusted and enriched in various ways, in accordance with the specificities of an indicator, including the following: - correction of the main breaks in the LFS series, - estimation of the missing values, (i.e. in case of missing quarters, annual results and EU aggregates are estimated using adjusted quarterly national labour force survey data or interpolations of the EU Labour Force Survey data with reference to the available quarter(s)) In addition to these series, an ad-hoc module to the LFS was conducted in 2003 on lifelong leaninng with similar characteristics to the AES (12-month reference period). Life-long learning is also part of the Sustainable Development Indicators.

Eurostat Dataset Id:trng_part01s There are three main sources providing results on participation in education and training. - The Adult Education Survey (AES) is carried out every 5 years starting from 2011 and is designed to give detailed information on the participation of individuals in education and training activities. A pilot survey took place in 2007. The reference period for the participation in education and training activities is the twelve months prior to the interview. - The Labour Force Survey (LFS) provides annual evolutions for a limited set of indicators. The reference period for the participation in education and training activities is the four weeks prior to the interview. - The Continuing Vocational Training Survey (CVTS) completes the AES results each 5 years focussing on enterprise strategies for employee skill developments. The reference period for the participation in education and training activities is the four weeks prior to the interview. The time series for the indicator 'lifelong learning' (participation of adults aged 25-64 in education and training) is based on the EU-LFS (four-week reference period) which is, where necessary, adjusted and enriched in various ways, in accordance with the specificities of an indicator, including the following: - correction of the main breaks in the LFS series, - estimation of the missing values, (i.e. in case of missing quarters, annual results and EU aggregates are estimated using adjusted quarterly national labour force survey data or interpolations of the EU Labour Force Survey data with reference to the available quarter(s)) In addition to these series, an ad-hoc module to the LFS was conducted in 2003 on lifelong leaninng with similar characteristics to the AES (12-month reference period). Life-long learning is also part of the Sustainable Development Indicators.

Eurostat Dataset Id:trng_cvts3_44 There are three main sources providing results on participation in education and training. - The Adult Education Survey (AES) is carried out every 5 years starting from 2011 and is designed to give detailed information on the participation of individuals in education and training activities. A pilot survey took place in 2007. The reference period for the participation in education and training activities is the twelve months prior to the interview. - The Labour Force Survey (LFS) provides annual evolutions for a limited set of indicators. The reference period for the participation in education and training activities is the four weeks prior to the interview. - The Continuing Vocational Training Survey (CVTS) completes the AES results each 5 years focussing on enterprise strategies for employee skill developments. The reference period for the participation in education and training activities is the four weeks prior to the interview. The time series for the indicator 'lifelong learning' (participation of adults aged 25-64 in education and training) is based on the EU-LFS (four-week reference period) which is, where necessary, adjusted and enriched in various ways, in accordance with the specificities of an indicator, including the following: - correction of the main breaks in the LFS series, - estimation of the missing values, (i.e. in case of missing quarters, annual results and EU aggregates are estimated using adjusted quarterly national labour force survey data or interpolations of the EU Labour Force Survey data with reference to the available quarter(s)) In addition to these series, an ad-hoc module to the LFS was conducted in 2003 on lifelong leaninng with similar characteristics to the AES (12-month reference period). Life-long learning is also part of the Sustainable Development Indicators.

Eurostat Dataset Id:trng_part02s There are three main sources providing results on participation in education and training. - The Adult Education Survey (AES) is carried out every 5 years starting from 2011 and is designed to give detailed information on the participation of individuals in education and training activities. A pilot survey took place in 2007. The reference period for the participation in education and training activities is the twelve months prior to the interview. - The Labour Force Survey (LFS) provides annual evolutions for a limited set of indicators. The reference period for the participation in education and training activities is the four weeks prior to the interview. - The Continuing Vocational Training Survey (CVTS) completes the AES results each 5 years focussing on enterprise strategies for employee skill developments. The reference period for the participation in education and training activities is the four weeks prior to the interview. The time series for the indicator 'lifelong learning' (participation of adults aged 25-64 in education and training) is based on the EU-LFS (four-week reference period) which is, where necessary, adjusted and enriched in various ways, in accordance with the specificities of an indicator, including the following: - correction of the main breaks in the LFS series, - estimation of the missing values, (i.e. in case of missing quarters, annual results and EU aggregates are estimated using adjusted quarterly national labour force survey data or interpolations of the EU Labour Force Survey data with reference to the available quarter(s)) In addition to these series, an ad-hoc module to the LFS was conducted in 2003 on lifelong leaninng with similar characteristics to the AES (12-month reference period). Life-long learning is also part of the Sustainable Development Indicators.

Eurostat Dataset Id:lfso_04peovisco Results from the 2004 LFS (Labour Force Survey) ad hoc module on 'work organisation and working time arrangements'.

Eurostat Dataset Id:lfso_04pepoisco Results from the 2004 LFS (Labour Force Survey) ad hoc module on 'work organisation and working time arrangements'.

Eurostat Dataset Id:trng_ent17n There are three main sources providing results on participation in education and training. - The Adult Education Survey (AES) is carried out every 5 years starting from 2011 and is designed to give detailed information on the participation of individuals in education and training activities. A pilot survey took place in 2007. The reference period for the participation in education and training activities is the twelve months prior to the interview. - The Labour Force Survey (LFS) provides annual evolutions for a limited set of indicators. The reference period for the participation in education and training activities is the four weeks prior to the interview. - The Continuing Vocational Training Survey (CVTS) completes the AES results each 5 years focussing on enterprise strategies for employee skill developments. The reference period for the participation in education and training activities is the four weeks prior to the interview. The time series for the indicator 'lifelong learning' (participation of adults aged 25-64 in education and training) is based on the EU-LFS (four-week reference period) which is, where necessary, adjusted and enriched in various ways, in accordance with the specificities of an indicator, including the following: - correction of the main breaks in the LFS series, - estimation of the missing values, (i.e. in case of missing quarters, annual results and EU aggregates are estimated using adjusted quarterly national labour force survey data or interpolations of the EU Labour Force Survey data with reference to the available quarter(s)) In addition to these series, an ad-hoc module to the LFS was conducted in 2003 on lifelong leaninng with similar characteristics to the AES (12-month reference period). Life-long learning is also part of the Sustainable Development Indicators.

Eurostat Dataset Id:trng_cvts86 CVTS2, CVTS3 and CVTS4 data were collected with reference year 1999, 2005 and 2010 in order to provide harmonised, reliable and relevant statistical information on continuing vocational training in enterprises.CVT stands for continuing vocational training i.e. education and training occurring during paid working time or paid at least partially by employers (if training activities are organised outside paid working time). CVTS 2, 3 and 4 provide statistics on incidence of training in enterprises, participation of employees and volume of CVT courses, CVT costs as well as CVT strategies of enterprises including on Initial vocational training (IVT, i.e. apprenticeship). The section "past series on lifelong learning" presents tables which are no longer available in the same format or at the same level of precision as CVTS 4. The CVTS1 was the first survey on continuing vocational training in enterprises carried out on the EU level in a co-ordinated form (outline questionnaire, common definitions, and common recommendations with the respect to the fieldwork). The survey was of pioneering nature, and is not any longer disseminated due to lack of comparability with the following waves.

Eurostat Dataset Id:trng_cvts3_88 There are three main sources providing results on participation in education and training. - The Adult Education Survey (AES) is carried out every 5 years starting from 2011 and is designed to give detailed information on the participation of individuals in education and training activities. A pilot survey took place in 2007. The reference period for the participation in education and training activities is the twelve months prior to the interview. - The Labour Force Survey (LFS) provides annual evolutions for a limited set of indicators. The reference period for the participation in education and training activities is the four weeks prior to the interview. - The Continuing Vocational Training Survey (CVTS) completes the AES results each 5 years focussing on enterprise strategies for employee skill developments. The reference period for the participation in education and training activities is the four weeks prior to the interview. The time series for the indicator 'lifelong learning' (participation of adults aged 25-64 in education and training) is based on the EU-LFS (four-week reference period) which is, where necessary, adjusted and enriched in various ways, in accordance with the specificities of an indicator, including the following: - correction of the main breaks in the LFS series, - estimation of the missing values, (i.e. in case of missing quarters, annual results and EU aggregates are estimated using adjusted quarterly national labour force survey data or interpolations of the EU Labour Force Survey data with reference to the available quarter(s)) In addition to these series, an ad-hoc module to the LFS was conducted in 2003 on lifelong leaninng with similar characteristics to the AES (12-month reference period). Life-long learning is also part of the Sustainable Development Indicators.

Eurostat Dataset Id:cens_01rews The tables presented in the topic of educational level cover the total population for 31 countries (for more information on received tables and geographic coverage, see "2001 Census Round - Tables Received" in the Annex at the bottom of the page). The level of completeness of the tables depends largely on the availability of data at the respective national statistical institutes. There are four ways of collecting census data, namely: - the traditional method of using census questionnaires (exhaustive census); - the method of using registers and/or other administrative sources; - a combination of registers and/or other administrative sources and - surveys (complete enumerations or sample surveys). Other methods (other mixed census or micro-census) can be used as well. Details for the method employed by each country are provided in "2001 Census Method"in the Annex at the bottom of the page. In the same table you can find the dates on which the census was carried out in each country.

Eurostat Dataset Id:hlth_db_emacag In order to provide data for the European Year of People with Disabilities 2003, the 2002 European Union Labour Force Survey (LFS) contained an ad hoc module concerning the employment of disabled people. The module consisted of 11 variables dealing with the existence, type, cause and duration of longstanding health problem or disability, work limitations (regarding the kind of work or the amount of work, and mobility problems), and assistance needed or provided to work. The results refer to persons aged 16-64 years, living in private households. Disabled persons are those who stated that they had a longstanding health problem or disability (LSHPD) for 6 months or more or expected to last 6 months or more. The indicator used is the percentage prevalence of people with disabilities in various socioeconomic groups as well as the percentage distribution of certain characteristics of disability or of certain socioeconomic characteristics among those reporting disability. The survey was conducted in all the 15 old Member States of the EU as well as in 9 at that time acceding or candidate countries (Czech Republic, Estonia, Cyprus, Latvia, Hungary, Malta, Slovenia, Slovak Republic and Romania) and in Norway.

Eurostat Dataset Id:hlth_db_emmaag In order to provide data for the European Year of People with Disabilities 2003, the 2002 European Union Labour Force Survey (LFS) contained an ad hoc module concerning the employment of disabled people. The module consisted of 11 variables dealing with the existence, type, cause and duration of longstanding health problem or disability, work limitations (regarding the kind of work or the amount of work, and mobility problems), and assistance needed or provided to work. The results refer to persons aged 16-64 years, living in private households. Disabled persons are those who stated that they had a longstanding health problem or disability (LSHPD) for 6 months or more or expected to last 6 months or more. The indicator used is the percentage prevalence of people with disabilities in various socioeconomic groups as well as the percentage distribution of certain characteristics of disability or of certain socioeconomic characteristics among those reporting disability. The survey was conducted in all the 15 old Member States of the EU as well as in 9 at that time acceding or candidate countries (Czech Republic, Estonia, Cyprus, Latvia, Hungary, Malta, Slovenia, Slovak Republic and Romania) and in Norway.

Eurostat Dataset Id:hlth_db_emocag In order to provide data for the European Year of People with Disabilities 2003, the 2002 European Union Labour Force Survey (LFS) contained an ad hoc module concerning the employment of disabled people. The module consisted of 11 variables dealing with the existence, type, cause and duration of longstanding health problem or disability, work limitations (regarding the kind of work or the amount of work, and mobility problems), and assistance needed or provided to work. The results refer to persons aged 16-64 years, living in private households. Disabled persons are those who stated that they had a longstanding health problem or disability (LSHPD) for 6 months or more or expected to last 6 months or more. The indicator used is the percentage prevalence of people with disabilities in various socioeconomic groups as well as the percentage distribution of certain characteristics of disability or of certain socioeconomic characteristics among those reporting disability. The survey was conducted in all the 15 old Member States of the EU as well as in 9 at that time acceding or candidate countries (Czech Republic, Estonia, Cyprus, Latvia, Hungary, Malta, Slovenia, Slovak Republic and Romania) and in Norway.

Eurostat Dataset Id:med_ps423 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â

The Regional database contains annual data from 1995 to the most recent available year (generally 2018 for demographic and labor market data, 2017 for regional accounts, innovation and social statistics). The data collection is undertaken by the Center for Entrepreneurship, SMEs, Regions and Cities (CFE). Statistics are collected through an annual questionnaire sent to the delegates of the Working Party on Territorial Indicators (WPTI), and via downloads from the web-sites of National Statistical Offices and Eurostat

The Regional Database contains annual data from 1995 to the most recent available year (generally 2016 for demographic, 2015 for labor market data and 2014 for regional accounts, innovation and social statistics).

Eurostat Dataset Id:hsw_ij_svhos An ad hoc module on "Work-related health problems and accidental injuries" was included in the 1999 Labour Force Survey (LFS), in order to act as a complementary data source to ESAW (European Statistics on accidents at Work) and EODS (European Occupational Diseases Statistics) and give a broader view on Health and Safety at Work.. This module provided complementary information on accidents occurring at work and resulting in less than 4 days' absence from work, on return to work after the accident at work and on health problems caused or made worse by work. The data refer to self-reported accidental injuries at work during a 12 month period before the survey and to self-reported non-accidental health problems caused or made worse by work and from which the respondent had suffered during a 12 month period before the survey. The indicators used for accidental injuries are the percentage distributions of accidents and the relative incidence rate of accidents (relative to the rate in the total of all participating countries, which is marked with 100). The incidence rate is the number of accidents at work per 100 000 employed workers. The indicators used for non-accidental health problems are the percentage distribution, number, prevalence rate and relative prevalence rate of health problems (relative to the rate in the total of all participating countries, which is marked with 100). The prevalence rate is the number of people suffering from the health problem during the last 12 months per 100 000 employed workers (see the link to summary methodology at the bottom of the page). Statistical adjustments: Because the frequency of work accidents is higher in some branches (high-risk sectors), an adjustment is performed to get more standardised incidence rates. Similarly, the prevalence rates for non-accidental health problems are standardised for economic activity and for age, as age influences importantly the prevalence of health problems. For more details, please see the link to the summary methodology at the bottom of the page. Geographical coverage: Denmark, Germany, Greece, Spain, Hungary, Ireland, Italy, Luxembourg, Portugal, Finland, Sweden, United Kingdom. Sector coverage: All sectors of economic activity are covered. The specification of sectors is given according to the NACE classification (NACE = Nomenclature statistique des activités économiques dans la Communauté européenne). The incidence and prevalence rates are calculated for the total of all branches.

Eurostat Dataset Id:hsw_ij_hjnas An ad hoc module on "Work-related health problems and accidental injuries" was included in the 1999 Labour Force Survey (LFS), in order to act as a complementary data source to ESAW (European Statistics on accidents at Work) and EODS (European Occupational Diseases Statistics) and give a broader view on Health and Safety at Work.. This module provided complementary information on accidents occurring at work and resulting in less than 4 days' absence from work, on return to work after the accident at work and on health problems caused or made worse by work. The data refer to self-reported accidental injuries at work during a 12 month period before the survey and to self-reported non-accidental health problems caused or made worse by work and from which the respondent had suffered during a 12 month period before the survey. The indicators used for accidental injuries are the percentage distributions of accidents and the relative incidence rate of accidents (relative to the rate in the total of all participating countries, which is marked with 100). The incidence rate is the number of accidents at work per 100 000 employed workers. The indicators used for non-accidental health problems are the percentage distribution, number, prevalence rate and relative prevalence rate of health problems (relative to the rate in the total of all participating countries, which is marked with 100). The prevalence rate is the number of people suffering from the health problem during the last 12 months per 100 000 employed workers (see the link to summary methodology at the bottom of the page). Statistical adjustments: Because the frequency of work accidents is higher in some branches (high-risk sectors), an adjustment is performed to get more standardised incidence rates. Similarly, the prevalence rates for non-accidental health problems are standardised for economic activity and for age, as age influences importantly the prevalence of health problems. For more details, please see the link to the summary methodology at the bottom of the page. Geographical coverage: Denmark, Germany, Greece, Spain, Hungary, Ireland, Italy, Luxembourg, Portugal, Finland, Sweden, United Kingdom. Sector coverage: All sectors of economic activity are covered. The specification of sectors is given according to the NACE classification (NACE = Nomenclature statistique des activités économiques dans la Communauté européenne). The incidence and prevalence rates are calculated for the total of all branches.

Eurostat Dataset Id:trng_inf5 General description of the ad hoc modules supplementing the Labour Force Survey (LFS)

Eurostat Dataset Id:sbs_sc_1b_se_r2 SBS covers the Nace Rev.2 Section B to N and division S95 which are organized in four annexes, covering Industry (sections B-E), Construction (F), Trade (G) and Services (H, I, J, L, M, N and S95). Financial services are covered in three specific annexes and separate metadata files have been compiled. Up to reference year 2007 data was presented using the NACE Rev.1.1 classification. The SBS coverage was limited to NACE Rev.1.1 Sections C to K. Starting from the reference year 2008 data is available in NACE Rev.2. Double reported data in NACE Rev.1.1 for the reference year 2008 will be available in the first and second quarter of 2011. Main characteristics (variables) of the SBS data category:Business Demographic variables (e.g. number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables               - labour input (e.g. Employment, Hours worked)               - goods and services input (e.g. Total of purchases)               - capital input (e.g. Material investments) Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4 digits). Some classes or groups in 'services' in NACE Rev 1.1 sections H, I, K have been aggregated. Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available. Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year is defined in Commission Regulation N° 251/2009.  For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by N°1614/2002 and N°1669/2003. SBS data are collected primarily by National Statistical Institutes (NSI). Regulatory or controlling national offices for financial institutions or central banks often provides the information required for the financial sector (NACE Rev 2 Section K / NACE  Rev 1.1 Section J). 

Eurostat Dataset Id:lfso_04shipisco Results from the 2004 LFS (Labour Force Survey) ad hoc module on 'work organisation and working time arrangements'.

Eurostat Dataset Id:lc_n08struc_r2 Labour cost statistics constitute a hierarchical system of multi-annual, yearly and quarterly statistics, designed to provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs. Structural information on labour costs is collected through four-yearly Labour Cost Surveys (LCSs), which provides details on level and structure of labour cost data, hours worked and hours paid. LCS results are available for the reference years 2000, 2004 and 2008. All EU Member States together with Norway, Iceland and Croatia (2004, 2008), Turkey and Macedonia (2008) participated in the LCS. As far as available data and confidentiality rules permit, all variables and proportions are further broken down by enterprise size category, economic activity and region (larger countries only). The data are collected by the National Statistical Institutes in most cases on the basis of stratified random samples of enterprises or local units, restricted in most countries to units with at least 10 employees. The stratification is based on economic activity, size category and region (where appropriate). Regional metadata is identical to the metadata provided for national data. Some countries also complement the survey results with administrative data. Monetary variables are expressed in EUR, national currencies (if different) and Purchasing Power Standards (PPS). Labour costs are quoted in total and per year, per month and per hour, as well as per capita and per full-time equivalents (FTE). Information on staff, hours worked and hours paid is quoted in aggregate and separately for full- and part-time employees. Labour cost statistics constitute a hierarchical system of multi-annual, yearly and quarterly statistics, designed to provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs.

Eurostat Dataset Id:lc_r04struc Labour cost statistics constitute a hierarchical system of multi-annual, yearly and quarterly statistics, designed to provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs. Structural information on labour costs is collected through four-yearly Labour Cost Surveys (LCSs), which provides details on level and structure of labour cost data, hours worked and hours paid. LCS results are available for the reference years 2000, 2004 and 2008. All EU Member States together with Norway, Iceland and Croatia (2004, 2008), Turkey and Macedonia (2008) participated in the LCS. As far as available data and confidentiality rules permit, all variables and proportions are further broken down by enterprise size category, economic activity and region (larger countries only). The data are collected by the National Statistical Institutes in most cases on the basis of stratified random samples of enterprises or local units, restricted in most countries to units with at least 10 employees. The stratification is based on economic activity, size category and region (where appropriate). Regional metadata is identical to the metadata provided for national data. Some countries also complement the survey results with administrative data. Monetary variables are expressed in EUR, national currencies (if different) and Purchasing Power Standards (PPS). Labour costs are quoted in total and per year, per month and per hour, as well as per capita and per full-time equivalents (FTE). Information on staff, hours worked and hours paid is quoted in aggregate and separately for full- and part-time employees. Labour cost statistics constitute a hierarchical system of multi-annual, yearly and quarterly statistics, designed to provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs.

Eurostat Dataset Id:lc_an_struc_r2 Labour cost statistics constitute a hierarchical system of multi-annual, yearly and quarterly statistics, designed to provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs. Annual labour cost data published here cover the core labour cost variables "average hourly labour costs" and "average monthly labour costs" as well as the breakdown of labour costs by main categories (wages and salaries; other labour costs). Average hourly and monthly labour costs as well as the structure of total annual labour costs per employee by economic activity are provided for enterprises with 1+ and for enterprises with 10+ employees.Data  are available for the EU Member States and partly for Iceland and Switzerland. The data are either collected by the National Statistical Institutes or, more frequently, estimated by them on the basis of their four-yearly Labour Cost Surveys (LCS), the Labour Cost Index (LCI) and additional up-to-date - though sometimes partial - information. Coverage of statistical units, thresholds and other methodological aspects are identical to that of the four yearly LCS.

Eurostat Dataset Id:lc_n00temp Labour cost statistics constitute a hierarchical system of multi-annual, yearly and quarterly statistics, designed to provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs. Structural information on labour costs is collected through four-yearly Labour Cost Surveys (LCSs), which provides details on level and structure of labour cost data, hours worked and hours paid. LCS results are available for the reference years 2000, 2004 and 2008. All EU Member States together with Norway, Iceland and Croatia (2004, 2008), Turkey and Macedonia (2008) participated in the LCS. As far as available data and confidentiality rules permit, all variables and proportions are further broken down by enterprise size category, economic activity and region (larger countries only). The data are collected by the National Statistical Institutes in most cases on the basis of stratified random samples of enterprises or local units, restricted in most countries to units with at least 10 employees. The stratification is based on economic activity, size category and region (where appropriate). Regional metadata is identical to the metadata provided for national data. Some countries also complement the survey results with administrative data. Monetary variables are expressed in EUR, national currencies (if different) and Purchasing Power Standards (PPS). Labour costs are quoted in total and per year, per month and per hour, as well as per capita and per full-time equivalents (FTE). Information on staff, hours worked and hours paid is quoted in aggregate and separately for full- and part-time employees. Labour cost statistics constitute a hierarchical system of multi-annual, yearly and quarterly statistics, designed to provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs.

Eurostat Dataset Id:lmp_ind_actime The labour market policy (LMP) database was developed and maintained by Eurostat till 2013. From 2014, the LMP database is developed and maintained by European Commission's Directorate General for Employment, Social Affairs and Inclusion and LMP data are disseminated by Eurostat. European Commission's LMP database provides information on labour market interventions, which are government actions to help and support the unemployed and other disadvantaged groups in the transition from unemployment or inactivity to work. The scope of the LMP database is limited to interventions that are explicitly targeted at groups of persons with difficulties in the labour market: the unemployed, persons employed but at risk of involuntary job loss and persons currently considered as inactive persons but who would like to enter the labour market. LMP statistics are one of the data sources for monitoring the Employment Guidelines (part II of the Europe 2020 Integrated Guidelines) through the Europe 2020 Joint Assessment Framework (JAF). The guidelines specifically refer to the provision of active labour market policies, which cover LMP measures and LMP services, and adequate social security systems, which include LMP supports. The unit of observation in the LMP database is the labour market intervention and data on the expenditure and participants for each intervention are collected annually from administrative sources in each country. The database also collects extensive qualitative information that describes each intervention, how it works, the main target groups, etc. LMP interventions are classified by type of action into three broad types – services, measures and supports – and into 9 detailed categories (see 3.2 Classification system). The LMP database covers all EU Member States and Norway. Data for the EU-15 countries and Norway are available from 1998 whilst the more recently acceded EU countries started providing data at different times from 2003 onwards. The following data and metadata are available:Summary tables of expenditure and participants by type of actionFor each country: detailed tables of expenditure and participants by interventionLMP based indicators for monitoring the Employment Guidelines (for definitions see annexes below)Reference data on persons registered with Public Employment Services (PES)Qualitative reports describing the interventions in each country

Eurostat Dataset Id:med_ps421 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â

Eurostat Dataset Id:med_ps422 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â

 Total Quarterly Unemployment Rate According to Federal Entity (Original figures)  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

Eurostat Dataset Id:med_ps43 The focus of this domain is on the following countries:Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Palestinian Authority, Syria, Tunisia. Data are provided for over 1000 indicators depending on the country.   The data for the Mediterranean partner countries are supplied by and under the responsibility of the national statistical authorities  of each of the countries or territories. The data and their denomination in no way constitute the  expression of an opinion by the European Commission on the  legal status of a country or territory or on the delimitation of its frontiers. Â

Eurostat Dataset Id:yth_incl_120 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.

Eurostat Dataset Id:edat_lfso_00t3 General description of the ad hoc modules supplementing the Labour Force Survey (LFS)

Eurostat Dataset Id:edat_lfso_00t1 General description of the ad hoc modules supplementing the Labour Force Survey (LFS)