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Last updated by source: 2023-11-05
| Dataset type: | Time-Series |
| Dataset level: | Country |
(European Commission,
2023)
Proportion of live births outside marriage. A live birth outside marriage is defined as a live birth where the mother’s marital status at the time of birth is other than married.
More about this variableTotal fertility rate. It is defined as the mean number of children who would be born to a woman during her lifetime, if she were to spend her childbearing years conforming to the age-specific fertility rates, that have been measured in a given year.
More about this variableAir transport of freight and mail loaded in thousand tonnes. The air transport regional data have been calculated using data collected at the airport level in the frame of Commission Regulation (EC) No 1358/2003. They are aggregated at regional level (NUTS 1 and NUTS 2) and also at national level (NUTS0), excluding double counting within each region.
More about this variableAir transport of freight and mail loaded and unloaded in thousand tonnes. The air transport regional data have been calculated using data collected at the airport level in the frame of Commission Regulation (EC) No 1358/2003. They are aggregated at regional level (NUTS 1 and NUTS 2) and also at national level (NUTS0), excluding double counting within each region.
More about this variableAir transport of freight and mail unloaded in thousand tonnes. The air transport regional data have been calculated using data collected at the airport level in the frame of Commission Regulation (EC) No 1358/2003. They are aggregated at regional level (NUTS 1 and NUTS 2) and also at national level (NUTS0), excluding double counting within each region.
More about this variableIncome of households (balance), Euro per inhabitant. The disposable income of private households is the balance of primary income (operating surplus/mixed income plus compensation of employees plus property income received minus property income paid) and the redistribution of income in cash. These transactions comprise social contributions paid, social benefits in cash received, current taxes on income and wealth paid, as well as other current transfers. Disposable income does not include social transfers in kind coming from public administrations or non-profit institutions serving households.
More about this variableIncome of households (balance), million Euro. The disposable income of private households is the balance of primary income (operating surplus/mixed income plus compensation of employees plus property income received minus property income paid) and the redistribution of income in cash. These transactions comprise social contributions paid, social benefits in cash received, current taxes on income and wealth paid, as well as other current transfers. Disposable income does not include social transfers in kind coming from public administrations or non-profit institutions serving households.
More about this variableIncome of households (balance), million national currency. The disposable income of private households is the balance of primary income (operating surplus/mixed income plus compensation of employees plus property income received minus property income paid) and the redistribution of income in cash. These transactions comprise social contributions paid, social benefits in cash received, current taxes on income and wealth paid, as well as other current transfers. Disposable income does not include social transfers in kind coming from public administrations or non-profit institutions serving households.
More about this variableIncome of households (balance), million PPS. The disposable income of private households is the balance of primary income (operating surplus/mixed income plus compensation of employees plus property income received minus property income paid) and the redistribution of income in cash. These transactions comprise social contributions paid, social benefits in cash received, current taxes on income and wealth paid, as well as other current transfers. Disposable income does not include social transfers in kind coming from public administrations or non-profit institutions serving households.
More about this variableIncome of households (disposable income), Euro per inhabitant. The disposable income of private households is the balance of primary income (operating surplus/mixed income plus compensation of employees plus property income received minus property income paid) and the redistribution of income in cash. These transactions comprise social contributions paid, social benefits in cash received, current taxes on income and wealth paid, as well as other current transfers. Disposable income does not include social transfers in kind coming from public administrations or non-profit institutions serving households.
More about this variableIncome of households (disposable income), million Euro. The disposable income of private households is the balance of primary income (operating surplus/mixed income plus compensation of employees plus property income received minus property income paid) and the redistribution of income in cash. These transactions comprise social contributions paid, social benefits in cash received, current taxes on income and wealth paid, as well as other current transfers. Disposable income does not include social transfers in kind coming from public administrations or non-profit institutions serving households.
More about this variableIncome of households (disposable income), million national currency. The disposable income of private households is the balance of primary income (operating surplus/mixed income plus compensation of employees plus property income received minus property income paid) and the redistribution of income in cash. These transactions comprise social contributions paid, social benefits in cash received, current taxes on income and wealth paid, as well as other current transfers. Disposable income does not include social transfers in kind coming from public administrations or non-profit institutions serving households.
More about this variableIncome of households (disposable income), million PPS. The disposable income of private households is the balance of primary income (operating surplus/mixed income plus compensation of employees plus property income received minus property income paid) and the redistribution of income in cash. These transactions comprise social contributions paid, social benefits in cash received, current taxes on income and wealth paid, as well as other current transfers. Disposable income does not include social transfers in kind coming from public administrations or non-profit institutions serving households.
More about this variableIncome of households (net adjusted disposable income), million euro. The disposable income of private households is the balance of primary income (operating surplus/mixed income plus compensation of employees plus property income received minus property income paid) and the redistribution of income in cash. These transactions comprise social contributions paid, social benefits in cash received, current taxes on income and wealth paid, as well as other current transfers. Disposable income does not include social transfers in kind coming from public administrations or non-profit institutions serving households. Net signifies that depreciation costs have been subtracted from the income presented, and regional data are adjusted to the national values by Eurostat.
More about this variableIncome of households (net adjusted disposable income), million national currency. The disposable income of private households is the balance of primary income (operating surplus/mixed income plus compensation of employees plus property income received minus property income paid) and the redistribution of income in cash. These transactions comprise social contributions paid, social benefits in cash received, current taxes on income and wealth paid, as well as other current transfers. Disposable income does not include social transfers in kind coming from public administrations or non-profit institutions serving households. Net signifies that depreciation costs have been subtracted from the income presented, and regional data are adjusted to the national values by Eurostat.
More about this variableCrude rate of net migration plus statistical adjustment. Net migration including statistical adjustments the ratio of the net migration including statistical adjustment during the year to the average population in that year. The value is expressed per 1000 inhabitants. The crude rate of net migration is equal to the difference between the crude rate of population change and the crude rate of natural change (that is, net migration is considered as the part of population change not attributable to births and deaths). It is calculated in this way because immigration or emigration flows are either not available or the figures are not reliable.
More about this variableReported number of cases of burglary of private premises. Domestic burglary is defined as gaining access to a dwelling by the use of force to steal goods.
More about this variableReported number of cases of intentional homicide. It is defined as intentional killing of a person, including murder, manslaughter, euthanasia and infanticide. Causing death by dangerous driving is excluded, as are abortion and help with suicide. Attempted (uncompleted) homicide is also excluded. The counting unit for homicide is normally the victim (rather than the case).
More about this variableReported number of cases of robbery. Robbery is a sub-set of violent crime (see above). It is defined as stealing from a person with force or threat of force, including muggings (bag-snatching) and theft with violence. Pick-pocketing, extortion and blackmailing are generally not included.
More about this variableFemale population as of 1st January of the year indicated. It is based on concept of usual resident population, i.e. the number of inhabitants of a given area on 1 January of the year in question (or, in some cases, on 31 December of the previous year). The population figures can be based on data from the most recent census adjusted by the components of population change produced since the last census, or based on population registers. Usually resident population means all persons having usual residence in a country at the reference time. Usual residence means the place where a person normally spends the daily period of rest, regardless of temporary absences for purposes of recreation, holidays, visits to friends and relatives, business, medical treatment or religious pilgrimage. The following persons alone are considered to be usual residents of the geographical area in question: a) those who have lived in their place of usual residence for a continuous period of at least 12 months before the reference time; or b) those who arrived in their place of usual residence during the 12 months before the reference time with the intention of staying there for at least one year.
More about this variableMale population as of 1st January of the year indicated. It is based on concept of usual resident population, i.e. the number of inhabitants of a given area on 1 January of the year in question (or, in some cases, on 31 December of the previous year). The population figures can be based on data from the most recent census adjusted by the components of population change produced since the last census, or based on population registers. Usually resident population means all persons having usual residence in a country at the reference time. Usual residence means the place where a person normally spends the daily period of rest, regardless of temporary absences for purposes of recreation, holidays, visits to friends and relatives, business, medical treatment or religious pilgrimage. The following persons alone are considered to be usual residents of the geographical area in question: a) those who have lived in their place of usual residence for a continuous period of at least 12 months before the reference time; or b) those who arrived in their place of usual residence during the 12 months before the reference time with the intention of staying there for at least one year.
More about this variableTotal population as of 1st January of the year indicated. It is based on concept of usual resident population, i.e. the number of inhabitants of a given area on 1 January of the year in question (or, in some cases, on 31 December of the previous year). The population figures can be based on data from the most recent census adjusted by the components of population change produced since the last census, or based on population registers. Usually resident population means all persons having usual residence in a country at the reference time. Usual residence means the place where a person normally spends the daily period of rest, regardless of temporary absences for purposes of recreation, holidays, visits to friends and relatives, business, medical treatment or religious pilgrimage. The following persons alone are considered to be usual residents of the geographical area in question: a) those who have lived in their place of usual residence for a continuous period of at least 12 months before the reference time; or b) those who arrived in their place of usual residence during the 12 months before the reference time with the intention of staying there for at least one year.
More about this variableTotal land area of a region as square kilometer. Total Land Area (TLA) is defined as total surface area excluding lakes, rivers, transitional and coastal waters. Mountainous regions, glaciers, forests, wetlands and other temporarily or permanently uninhabitable regions are included in TLA.
More about this variableTotal surface area of a region as square kilometer. Total Surface Area (TSA) is defined as the area of any given statistical area and includes land area and inland waters (lakes, rivers etc.). The sub-national areas (e.g. LAU and NUTS areas) defined by statistical and/or administrative boundaries are the building blocks for calculating both concepts. By definition Total Surface Area does not cover areas that are not statistical areas.
More about this variableNumber of deaths of females, all ages. Death means the permanent disappearance of all evidence of life at any time after life birth has taken place (postnatal cessation of vital functions without capability of resuscitation).
More about this variableNumber of deaths of males, all ages. Death means the permanent disappearance of all evidence of life at any time after life birth has taken place (postnatal cessation of vital functions without capability of resuscitation).
More about this variableNumber of deaths, all ages. Death means the permanent disappearance of all evidence of life at any time after life birth has taken place (postnatal cessation of vital functions without capability of resuscitation).
More about this variableNumber of deaths of females, at 1 year old. Death means the permanent disappearance of all evidence of life at any time after life birth has taken place (postnatal cessation of vital functions without capability of resuscitation).
More about this variableNumber of deaths of males, at 1 year old. Death means the permanent disappearance of all evidence of life at any time after life birth has taken place (postnatal cessation of vital functions without capability of resuscitation).
More about this variableNumber of deaths, total at 1 year old. Death means the permanent disappearance of all evidence of life at any time after life birth has taken place (postnatal cessation of vital functions without capability of resuscitation).
More about this variableNumber of deaths of females, at 20 years old. Death means the permanent disappearance of all evidence of life at any time after life birth has taken place (postnatal cessation of vital functions without capability of resuscitation).
More about this variableNumber of deaths of males, at 20 years old. Death means the permanent disappearance of all evidence of life at any time after life birth has taken place (postnatal cessation of vital functions without capability of resuscitation).
More about this variableNumber of deaths, total at 20 years old. Death means the permanent disappearance of all evidence of life at any time after life birth has taken place (postnatal cessation of vital functions without capability of resuscitation).
More about this variableNumber of deaths of females, at 50 years old. Death means the permanent disappearance of all evidence of life at any time after life birth has taken place (postnatal cessation of vital functions without capability of resuscitation).
More about this variableNumber of deaths of males, at 50 years old. Death means the permanent disappearance of all evidence of life at any time after life birth has taken place (postnatal cessation of vital functions without capability of resuscitation).
More about this variableNumber of deaths, total at 50 years old. Death means the permanent disappearance of all evidence of life at any time after life birth has taken place (postnatal cessation of vital functions without capability of resuscitation).
More about this variableNumber of deaths of females, at 70 years old. Death means the permanent disappearance of all evidence of life at any time after life birth has taken place (postnatal cessation of vital functions without capability of resuscitation).
More about this variableNumber of deaths of males, at 70 years old. Death means the permanent disappearance of all evidence of life at any time after life birth has taken place (postnatal cessation of vital functions without capability of resuscitation).
More about this variableNumber of deaths, total at 70 years old. Death means the permanent disappearance of all evidence of life at any time after life birth has taken place (postnatal cessation of vital functions without capability of resuscitation).
More about this variableNet migration plus statistical adjusted
More about this variablePopulation at 1st January, female
More about this variablePopulation at 1st January, male
More about this variablePopulation at 1st January, total
More about this variablePopulation density, average population per square km
More about this variableNatural change of population
More about this variableMean age of woman at childbirth
More about this variableLife expectancy in age < 1 year, female
More about this variableLife expectancy in age < 1 year, male
More about this variableLife expectancy in age < 1 year, total
More about this variableDisposable income of private households by NUTS 2 regions in PPS (purchasing power standards) based on final consumption per inhabitant. The disposable income of private households is the balance of primary income (operating surplus/mixed income plus compensation of employees plus property income received minus property income paid) and the redistribution of income in cash. These transactions comprise social contributions paid, social benefits in cash received, current taxes on income and wealth paid, as well as other current transfers. Disposable income does not include social transfers in kind coming from public administrations or non-profit institutions serving households. The data for NUTS 1 and NUTS 0 regions has been calculated by computing a mean of the NUTS 2 values within each region.
More about this variableGDP at current market prices, Euro per inhabitant
More about this variableGDP at current market prices, Million euro
More about this variablePercentage of 25-64 years old females whose the highest level of education successfully completed is less than primary, primary and lower secondary education (levels 0-2). This aggregate refers to levels 0, 1 and 2 of the ISCED 2011 (online code ED0-2). Data up to 2013 refer to ISCED 1997 levels 0, 1 and 2 but also include level 3C short (educational attainment from ISCED level 3 programmes of less than two years).
More about this variablePercentage of 25-64 years old males whose the highest level of education successfully completed is less than primary, primary and lower secondary education (levels 0-2). This aggregate refers to levels 0, 1 and 2 of the ISCED 2011 (online code ED0-2). Data up to 2013 refer to ISCED 1997 levels 0, 1 and 2 but also include level 3C short (educational attainment from ISCED level 3 programmes of less than two years).
More about this variablePercentage of 25-64 years old population whose the highest level of education successfully completed is less than primary, primary and lower secondary education (levels 0-2). This aggregate refers to levels 0, 1 and 2 of the ISCED 2011 (online code ED0-2). Data up to 2013 refer to ISCED 1997 levels 0, 1 and 2 but also include level 3C short (educational attainment from ISCED level 3 programmes of less than two years).
More about this variablePercentage of 30-34 years old females whose the highest level of education successfully completed is less than primary, primary and lower secondary education (levels 0-2). This aggregate refers to levels 0, 1 and 2 of the ISCED 2011 (online code ED0-2). Data up to 2013 refer to ISCED 1997 levels 0, 1 and 2 but also include level 3C short (educational attainment from ISCED level 3 programmes of less than two years).
More about this variablePercentage of 30-34 years old males whose the highest level of education successfully completed is less than primary, primary and lower secondary education (levels 0-2). This aggregate refers to levels 0, 1 and 2 of the ISCED 2011 (online code ED0-2). Data up to 2013 refer to ISCED 1997 levels 0, 1 and 2 but also include level 3C short (educational attainment from ISCED level 3 programmes of less than two years).
More about this variablePercentage of 30-34 years old population whose the highest level of education successfully completed is less than primary, primary and lower secondary education (levels 0-2). This aggregate refers to levels 0, 1 and 2 of the ISCED 2011 (online code ED0-2). Data up to 2013 refer to ISCED 1997 levels 0, 1 and 2 but also include level 3C short (educational attainment from ISCED level 3 programmes of less than two years).
More about this variablePercentage of 25-64 years old females whose the highest level of education successfully completed is upper secondary and post-secondary non-tertiary education (levels 3 and 4). This aggregate corresponds to ISCED 2011 levels 3 and 4 (online code ED3_4). ISCED 2011 level 3 programmes of partial level completion are considered within ISCED level 3. Data up to 2013 refer to ISCED 1997 levels 3C long, 3A, 3B and 4.
More about this variablePercentage of 25-64 years old males whose the highest level of education successfully completed is upper secondary and post-secondary non-tertiary education (levels 3 and 4). This aggregate corresponds to ISCED 2011 levels 3 and 4 (online code ED3_4). ISCED 2011 level 3 programmes of partial level completion are considered within ISCED level 3. Data up to 2013 refer to ISCED 1997 levels 3C long, 3A, 3B and 4.
More about this variablePercentage of 25-64 years old population whose the highest level of education successfully completed is upper secondary and post-secondary non-tertiary education (levels 3 and 4). This aggregate corresponds to ISCED 2011 levels 3 and 4 (online code ED3_4). ISCED 2011 level 3 programmes of partial level completion are considered within ISCED level 3. Data up to 2013 refer to ISCED 1997 levels 3C long, 3A, 3B and 4.
More about this variablePercentage of 30-34 years old females whose the highest level of education successfully completed is upper secondary and post-secondary non-tertiary education (levels 3 and 4). This aggregate corresponds to ISCED 2011 levels 3 and 4 (online code ED3_4). ISCED 2011 level 3 programmes of partial level completion are considered within ISCED level 3. Data up to 2013 refer to ISCED 1997 levels 3C long, 3A, 3B and 4.
More about this variablePercentage of 30-34 years old males whose the highest level of education successfully completed is upper secondary and post-secondary non-tertiary education (levels 3 and 4). This aggregate corresponds to ISCED 2011 levels 3 and 4 (online code ED3_4). ISCED 2011 level 3 programmes of partial level completion are considered within ISCED level 3. Data up to 2013 refer to ISCED 1997 levels 3C long, 3A, 3B and 4.
More about this variablePercentage of 30-34 years old population whose the highest level of education successfully completed is upper secondary and post-secondary non-tertiary education (levels 3 and 4). This aggregate corresponds to ISCED 2011 levels 3 and 4 (online code ED3_4). ISCED 2011 level 3 programmes of partial level completion are considered within ISCED level 3. Data up to 2013 refer to ISCED 1997 levels 3C long, 3A, 3B and 4.
More about this variablePercentage of 25-64 years old females whose the highest level of education successfully completed is tertiary education (levels 5-8). This aggregate covers ISCED 2011 levels 5, 6, 7 and 8 (short-cycle tertiary education, bachelor's or equivalent level, master's or equivalent level, doctoral or equivalent level, online code ED5-8 ‘tertiary education’). Data up to 2013 refer to ISCED 1997 levels 5 and 6.
More about this variablePercentage of 25-64 years old males whose the highest level of education successfully completed is tertiary education (levels 5-8). This aggregate covers ISCED 2011 levels 5, 6, 7 and 8 (short-cycle tertiary education, bachelor's or equivalent level, master's or equivalent level, doctoral or equivalent level, online code ED5-8 ‘tertiary education’). Data up to 2013 refer to ISCED 1997 levels 5 and 6.
More about this variablePercentage of 25-64 years old population whose the highest level of education successfully completed is tertiary education (levels 5-8). This aggregate covers ISCED 2011 levels 5, 6, 7 and 8 (short-cycle tertiary education, bachelor's or equivalent level, master's or equivalent level, doctoral or equivalent level, online code ED5-8 ‘tertiary education’). Data up to 2013 refer to ISCED 1997 levels 5 and 6.
More about this variablePercentage of 30-34 years old females whose the highest level of education successfully completed is tertiary education (levels 5-8). This aggregate covers ISCED 2011 levels 5, 6, 7 and 8 (short-cycle tertiary education, bachelor's or equivalent level, master's or equivalent level, doctoral or equivalent level, online code ED5-8 ‘tertiary education’). Data up to 2013 refer to ISCED 1997 levels 5 and 6.
More about this variablePercentage of 30-34 years old males whose the highest level of education successfully completed is tertiary education (levels 5-8). This aggregate covers ISCED 2011 levels 5, 6, 7 and 8 (short-cycle tertiary education, bachelor's or equivalent level, master's or equivalent level, doctoral or equivalent level, online code ED5-8 ‘tertiary education’). Data up to 2013 refer to ISCED 1997 levels 5 and 6.
More about this variablePercentage of 30-34 years old population whose the highest level of education successfully completed is tertiary education (levels 5-8). This aggregate covers ISCED 2011 levels 5, 6, 7 and 8 (short-cycle tertiary education, bachelor's or equivalent level, master's or equivalent level, doctoral or equivalent level, online code ED5-8 ‘tertiary education’). Data up to 2013 refer to ISCED 1997 levels 5 and 6.
More about this variableEducational Attainment, 26-64 years, Level 0-2 (Female). Percentage of the population.
More about this variableEducational Attainment, 26-64 years, Level 0-2 (Male). Percentage of the population.
More about this variableEducational Attainment, 26-64 years, Level 0-2 (Total). Percentage of the population.
More about this variableEducational Attainment, 26-64 years, Level 3-4 (Female)
More about this variableEducational Attainment, 26-64 years, Level 3-4 (Male)
More about this variableEducational Attainment, 26-64 years, Level 3-4 (Total)
More about this variableEducational Attainment, 26-64 years, Level 3-8 (Female)
More about this variableEducational Attainment, 26-64 years, Level 3-8 (Male)
More about this variableEducational Attainment, 26-64 years, Level 3-8 (Total)
More about this variableEducational Attainment, 26-64 years, Level 5-8 (Female)
More about this variableEducational Attainment, 26-64 years, Level 5-8 (Male)
More about this variableEducational Attainment, 26-64 years, Level 5-8 (Total)
More about this variableEducational Attainment, 30-34 years old, Level 0-2 (Female)
More about this variableEducational Attainment, 30-34 years old, Level 0-2 (Male)
More about this variableEducational Attainment, 30-34 years old, Level 0-2 (Total)
More about this variableEducational Attainment, 30-34 years old, Level 3-4 (Female)
More about this variableEducational Attainment, 30-34 years old, Level 3-4 (Male)
More about this variableEducational Attainment, 30-34 years old, Level 3-4 (Total)
More about this variableEducational Attainment, 30-34 years old, Level 3-8 (Female)
More about this variableEducational Attainment, 30-34 years old, Level 3-8 (Male)
More about this variableEducational Attainment, 30-34 years, Level 3-8 (Total)
More about this variableEducational Attainment, 30-34 years old, Level 5-8 (Female)
More about this variableEducational Attainment, 30-34 years old, Level 5-8 (Male)
More about this variableEducational Attainment, 30-34 years old, Level 5-8 (Total)
More about this variableEarly leavers from education and training, 18-24 years old (Female)
More about this variableEarly leavers from education and training, 18-24 years old (Male)
More about this variableEarly leavers from education and training, 18-24 years old (Total)
More about this variableFemale early leavers from education and training as a percentage of the population aged 18-24 with at most lower secondary education and not in further education or training. The indicator is defined as the percentage of the population aged 18-24 with at most lower secondary education and who were not in further education or training during the last four weeks preceding the survey. Lower secondary education refers to ISCED (International Standard Classification of Education) 2011 level 0-2 for data from 2014 onwards and to ISCED 1997 level 0-3C short for data up to 2013. The indicator is based on the EU Labour Force Survey.
More about this variableMale early leavers from education and training as a percentage of the population aged 18-24 with at most lower secondary education and not in further education or training. The indicator is defined as the percentage of the population aged 18-24 with at most lower secondary education and who were not in further education or training during the last four weeks preceding the survey. Lower secondary education refers to ISCED (International Standard Classification of Education) 2011 level 0-2 for data from 2014 onwards and to ISCED 1997 level 0-3C short for data up to 2013. The indicator is based on the EU Labour Force Survey.
More about this variableEarly leavers from education and training as a percentage of the population aged 18-24 with at most lower secondary education and not in further education or training. The indicator is defined as the percentage of the population aged 18-24 with at most lower secondary education and who were not in further education or training during the last four weeks preceding the survey. Lower secondary education refers to ISCED (International Standard Classification of Education) 2011 level 0-2 for data from 2014 onwards and to ISCED 1997 level 0-3C short for data up to 2013. The indicator is based on the EU Labour Force Survey.
More about this variableRatio of pupils and students to teachers and academic staff in ISCED levels 1 to 3
More about this variableRatio of pupils and students to teachers and academic staff in ISCED levels 5 to 8
More about this variableRatio of pupils and students to teachers and academic staff in early childhood education
More about this variablePopulation 15 to 64 years with ISCED levels 0-2 as a percentage of total population (female)
More about this variablePopulation 15 to 64 years with ISCED levels 0-2 as a percentage of total population (male)
More about this variablePopulation 15 to 64 years with ISCED levels 0-2 as a percentage of total population (total)
More about this variablePopulation 15 to 64 years with ISCED levels 3-4 as a percentage of total population (female)
More about this variablePopulation 15 to 64 years with ISCED levels 3-4 as a percentage of total population (male)
More about this variablePopulation 15 to 64 years with ISCED levels 3-4 as a percentage of total population (total)
More about this variablePopulation 15 to 64 years with ISCED levels 5-8 as a percentage of total population (female)
More about this variablePopulation 15 to 64 years with ISCED levels 5-8 as a percentage of total population (male)
More about this variablePopulation 15 to 64 years with ISCED levels 5-8 as a percentage of total population (total)
More about this variableEmployment rate for women between 15-24 years old. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO). The definition of unemployment is further specified in Commission Regulation (EC) No 1897/2000.
More about this variableEmployment rate for men between 15-24 years old. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO). The definition of unemployment is further specified in Commission Regulation (EC) No 1897/2000.
More about this variableTotal employment rate between 15-24 years old. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO). The definition of unemployment is further specified in Commission Regulation (EC) No 1897/2000.
More about this variableEmployment rate for women between 20-64 years old. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO). The definition of unemployment is further specified in Commission Regulation (EC) No 1897/2000.
More about this variableEmployment rate for men between 20-64 years old. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO). The definition of unemployment is further specified in Commission Regulation (EC) No 1897/2000.
More about this variableTotal employment rate between 20-64 years old. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO). The definition of unemployment is further specified in Commission Regulation (EC) No 1897/2000.
More about this variableEmployment rate for women between 25-34 years old. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO). The definition of unemployment is further specified in Commission Regulation (EC) No 1897/2000.
More about this variableEmployment rate for men between 25-34 years old. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO). The definition of unemployment is further specified in Commission Regulation (EC) No 1897/2000.
More about this variableTotal employment rate between 25-34 years old. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO). The definition of unemployment is further specified in Commission Regulation (EC) No 1897/2000.
More about this variableEmployment in agriculture, forestry and fishing, in thousands. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO). The definition of unemployment is further specified in Commission Regulation (EC) No 1897/2000.
More about this variableEmployment in industry (except construction), in thousands. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO). The definition of unemployment is further specified in Commission Regulation (EC) No 1897/2000.
More about this variableEmployment in construction, in thousands. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO). The definition of unemployment is further specified in Commission Regulation (EC) No 1897/2000.
More about this variableFull-time female employment, in thousands. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO). The definition of unemployment is further specified in Commission Regulation (EC) No 1897/2000.
More about this variableFull-time male employment, in thousands. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO). The definition of unemployment is further specified in Commission Regulation (EC) No 1897/2000.
More about this variableTotal full-time employment, in thousands. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO). The definition of unemployment is further specified in Commission Regulation (EC) No 1897/2000.
More about this variableEmployment rate for women 25 years old and above. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO). The definition of unemployment is further specified in Commission Regulation (EC) No 1897/2000.
More about this variableEmployment rate for men 25 years old and above. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO). The definition of unemployment is further specified in Commission Regulation (EC) No 1897/2000.
More about this variableTotal employment rate for 25 years old and above. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO). The definition of unemployment is further specified in Commission Regulation (EC) No 1897/2000.
More about this variableEmployment rate for women 65 years old and above. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO). The definition of unemployment is further specified in Commission Regulation (EC) No 1897/2000.
More about this variableEmployment rate for men 65 years old and above. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO). The definition of unemployment is further specified in Commission Regulation (EC) No 1897/2000.
More about this variableTotal employment rate for 65 years old and above. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO). The definition of unemployment is further specified in Commission Regulation (EC) No 1897/2000.
More about this variableEmployment in wholesale and retail trade, transport, accommodation and food service activities, in thousands. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO). The definition of unemployment is further specified in Commission Regulation (EC) No 1897/2000.
More about this variableEmployment in information and communication, in thousands. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO). The definition of unemployment is further specified in Commission Regulation (EC) No 1897/2000.
More about this variableEmployment in financial and insurance activities, in thousands. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO). The definition of unemployment is further specified in Commission Regulation (EC) No 1897/2000.
More about this variableEmployment in real estate activities, in thousands. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO). The definition of unemployment is further specified in Commission Regulation (EC) No 1897/2000.
More about this variableEmployment in professional, scientific and technical activities, in thousands. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO). The definition of unemployment is further specified in Commission Regulation (EC) No 1897/2000.
More about this variableEmployment in public administration, defence, education, human health and social work activities, in thousands. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO). The definition of unemployment is further specified in Commission Regulation (EC) No 1897/2000.
More about this variablePart-time female employment, in thousands. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO). The definition of unemployment is further specified in Commission Regulation (EC) No 1897/2000.
More about this variablePart-time male employment, in thousands. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO). The definition of unemployment is further specified in Commission Regulation (EC) No 1897/2000.
More about this variableTotal part-time employment, in thousands. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO). The definition of unemployment is further specified in Commission Regulation (EC) No 1897/2000.
More about this variableEmployment in arts, entertainment and recreation, in thousands. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO). The definition of unemployment is further specified in Commission Regulation (EC) No 1897/2000.
More about this variableEmployment in total - all NACE activities, in thousands. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO). The definition of unemployment is further specified in Commission Regulation (EC) No 1897/2000.
More about this variableEmployed ICT specialists (% of total employment)
More about this variableEmployment rate for people between 15 and 34 years, total duration since completion of highest level of education. The indicator is defined as the percentage of the population aged 15-34, who were employed (ILO definition), not in further education or training (i.e. neither formal nor non-formal) during the last four weeks preceding the survey.
More about this variableEmployment rate for people between 15 and 34 years, 1 to 3 years since completion of highest level of education. The indicator is defined as the percentage of the population aged 15-34, who were employed (ILO definition), not in further education or training (i.e. neither formal nor non-formal) during the last four weeks preceding the survey.
More about this variableEmployment rate for people between 15 and 34 years, over 3 years since completion of highest level of education. The indicator is defined as the percentage of the population aged 15-34, who were employed (ILO definition), not in further education or training (i.e. neither formal nor non-formal) during the last four weeks preceding the survey.
More about this variableEmployment rate for people between 15 and 34 years, whose the highest level of education successfully completed is less than primary, primary and lower secondary education (levels 0-2). The indicator is defined as the percentage of the population aged 15-34, who were employed (ILO definition), not in further education or training (i.e. neither formal nor non-formal) during the last four weeks preceding the survey.
More about this variableEmployment rate for people between 15 and 34 years, whose the highest level of education successfully completed is upper secondary and post-secondary non-tertiary education (levels 3 and 4). The indicator is defined as the percentage of the population aged 15-34, who were employed (ILO definition), not in further education or training (i.e. neither formal nor non-formal) during the last four weeks preceding the survey.
More about this variableEmployment rate for people between 15 and 34 years, whose the highest level of education successfully completed is tertiary education (levels 5-8). The indicator is defined as the percentage of the population aged 15-34, who were employed (ILO definition), not in further education or training (i.e. neither formal nor non-formal) during the last four weeks preceding the survey.
More about this variableTotal employment rate for people between 15 and 34 years for all education levels. The indicator is defined as the percentage of the population aged 15-34, who were employed (ILO definition), not in further education or training (i.e. neither formal nor non-formal) during the last four weeks preceding the survey.
More about this variableEmployment rates: 15-24 Years, Female (percentage of active population)
More about this variableEmployment rates: 15-24 Years, Male (percentage of active population)
More about this variableEmployment rates: 15-24 Years, Total (percentage of active population)
More about this variableEmployment rates: 15-64 Years, Female (percentage of active population)
More about this variableEmployment rates: 15-64 Years, Male (percentage of active population)
More about this variableEmployment rates: 15-64 Years, Total (percentage of active population)
More about this variableEmployment rates: 20-64 Years, Female (percentage of active population)
More about this variableEmployment rates: 20-64 Years, Male (percentage of active population)
More about this variableEmployment rates: 20-64 Years, Total (percentage of active population)
More about this variableEmployment rates: 25-34 Years, Female (percentage of active population)
More about this variableEmployment rates: 25-34 Years, Male (percentage of active population)
More about this variableEmployment rates: 25-34 Years, Total (percentage of active population)
More about this variableEmployment rates: 55-64 Years, Female (percentage of active population)
More about this variableEmployment rates: 55-64 Years, Male (percentage of active population)
More about this variableEmployment rates: 55-64 Years, Total (percentage of active population)
More about this variableFemale employment in agriculture, forestry and fishing; mining and quarrying, as percentage of total female employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableMale employment in agriculture, forestry and fishing; mining and quarrying, as percentage of total male employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableEmployment in agriculture, forestry and fishing; mining and quarrying, as percentage of total employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableFemale employment in manufacturing, as percentage of total female employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableMale employment in manufacturing, as percentage of total male employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableEmployment in manufacturing, as percentage of total employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableFemale employment in high-technology manufacturing, as percentage of total female employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableMale employment in high-technology manufacturing, as percentage of total male employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableEmployment in high-technology manufacturing, as percentage of total employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableFemale employment in electricity, gas, steam and air conditioning supply; water supply and construction, as percentage of total female employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableMale employment in electricity, gas, steam and air conditioning supply; water supply and construction, as percentage of total male employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableEmployment in electricity, gas, steam and air conditioning supply; water supply and construction, as percentage of total employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableFemale employment in services, as percentage of total female employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableMale employment in services, as percentage of total male employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableEmployment in services, as percentage of total employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableFemale employment in high-technology sectors (high-technology manufacturing and knowledge-intensive high-technology services), as percentage of total female employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableMale employment in high-technology sectors (high-technology manufacturing and knowledge-intensive high-technology services), as percentage of total male employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableEmployment in high-technology sectors (high-technology manufacturing and knowledge-intensive high-technology services), as percentage of total employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableFemale employment in information and communication, as percentage of total female employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableMale employment in information and communication, as percentage of total male employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableEmployment in information and communication, as percentage of total employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableFemale employment in financial and insurance activities, as percentage of total female employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableMale employment in financial and insurance activities, as percentage of total male employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableEmployment in financial and insurance activities, as percentage of total employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableFemale employment in total knowledge-intensive services, as percentage of total female employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableMale employment in total knowledge-intensive services, as percentage of total male employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableEmployment in total knowledge-intensive services, as percentage of total employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableFemale employment in financial and insurance activities; real estate activities, as percentage of total female employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableMale employment in financial and insurance activities; real estate activities, as percentage of total male employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableEmployment in financial and insurance activities; real estate activities, as percentage of total employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableFemale employment in professional, scientific and technical activities, as percentage of total female employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableMale employment in professional, scientific and technical activities, as percentage of total male employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableEmployment in professional, scientific and technical activities, as percentage of total employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableFemale employment in administrative and support service activities, as percentage of total female employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableMale employment in administrative and support service activities, as percentage of total male employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableEmployment in administrative and support service activities, as percentage of total employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableFemale employment in public administration; activities of extraterritorial organisations and bodies, as percentage of total female employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableMale employment in public administration; activities of extraterritorial organisations and bodies, as percentage of total male employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableEmployment in public administration; activities of extraterritorial organisations and bodies, as percentage of total employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableFemale employment in education, as percentage of total female employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableMale employment in education, as percentage of total male employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableEmployment in education, as percentage of total employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableFemale employment in human health and social work activities, as percentage of total female employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableMale employment in human health and social work activities, as percentage of total male employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableEmployment in human health and social work activities, as percentage of total employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableFemale employment in arts, entertainment and recreation, as percentage of total female employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableMale employment in arts, entertainment and recreation, as percentage of total male employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableEmployment in arts, entertainment and recreation, as percentage of total employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableFemale employment in other service activities, as percentage of total female employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableMale employment in other service activities, as percentage of total male employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableEmployment in other service activities, as percentage of total employment. Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74. The data are aggregated based on the statistical classification of economic activities in the European Community (NACE) at 2-digit level.
More about this variableNumber of cooling degree days (CDD). Cooling degree day (CDD) index is a weather-based technical index designed to describe the need for the cooling (air-conditioning) requirements of buildings. CDD is derived from meteorological observations of air temperature, interpolated to regular grids at 25 km resolution for Europe. Calculated gridded CDD is aggregated and subsequently presented on NUTS-2 level, for 2017 and 2018 also on NUTS-3 level.
More about this variableNumber of heating degree days (HDD). Heating degree day (HDD) index is a weather-based technical index designed to describe the need for the heating energy requirements of buildings. HDD is derived from meteorological observations of air temperature, interpolated to regular grids at 25 km resolution for Europe. Calculated gridded HDD is aggregated and subsequently presented on NUTS-2 level, for 2017 and 2018 also on NUTS-3 level.
More about this variableMunicipal waste disposal, incineration in thousand tonnes. Municipal waste is mainly produced by households, similar wastes from sources such as commerce, offices and public institutions are included. The amount of municipal waste generated consists of waste collected by or on behalf of municipal authorities and disposed of through the waste management system. The amount of municipal waste treatment is reported for the treatment operations incineration (with and without energy recovery), recycling, composting and landfilling. Data are available in thousand tonnes and kilograms per person. Wastes from agriculture and from industries are not included.
More about this variableMunicipal waste generated in thousand tonnes. Municipal waste is mainly produced by households, similar wastes from sources such as commerce, offices and public institutions are included. The amount of municipal waste generated consists of waste collected by or on behalf of municipal authorities and disposed of through the waste management system. The amount of municipal waste treatment is reported for the treatment operations incineration (with and without energy recovery), recycling, composting and landfilling. Data are available in thousand tonnes and kilograms per person. Wastes from agriculture and from industries are not included.
More about this variableMunicipal waste energy recovery in thousand tonnes. Energy recovery is defined as the incineration that fulfils the energy efficiency criteria laid down in the Waste Framework Directive (2008/98/EC), Annex II (recovery operation R1). Municipal waste is mainly produced by households, similar wastes from sources such as commerce, offices and public institutions are included. The amount of municipal waste generated consists of waste collected by or on behalf of municipal authorities and disposed of through the waste management system. The amount of municipal waste treatment is reported for the treatment operations incineration (with and without energy recovery), recycling, composting and landfilling. Data are available in thousand tonnes and kilograms per person. Wastes from agriculture and from industries are not included.
More about this variableMunicipal waste recycling in thousand tonnes. Recycling means any recovery operation by which waste materials are reprocessed into products, materials or substances whether for the original or other purposes. It includes the reprocessing of organic material but does not include energy recovery and the reprocessing into materials that are to be used as fuels or for backfilling operations. Municipal waste is mainly produced by households, similar wastes from sources such as commerce, offices and public institutions are included. The amount of municipal waste generated consists of waste collected by or on behalf of municipal authorities and disposed of through the waste management system. The amount of municipal waste treatment is reported for the treatment operations incineration (with and without energy recovery), recycling, composting and landfilling. Data are available in thousand tonnes and kilograms per person. Wastes from agriculture and from industries are not included.
More about this variablePercentage of resident population not connected to urban and other wastewater treatment plants
More about this variableParticipation rate in primary and lower secondary education (levels 1-2). Countries participating in this collection are compiling their data according to the concepts and definitions of the UOE data collection manuals on education systems statistics. This aggregate refers to levels 1 and 2 of the ISCED 2011 (online code ED1-2).
More about this variableParticipation rate in tertiary education (level 5-8). Countries participating in this collection are compiling their data according to the concepts and definitions of the UOE data collection manuals on education systems statistics. This aggregate covers ISCED 2011 levels 5, 6, 7 and 8 (short-cycle tertiary education, bachelor's or equivalent level, master's or equivalent level, doctoral or equivalent level, online code ED5-8 ‘tertiary education’).
More about this variableFemale participation rate in education and training during the last four weeks preceding the survey. The participation rate in education and training covers participation in formal and non-formal education and training. The reference period for the participation in education and training is the four weeks prior to the interview. Formal education is defined by ISCED as ‘education that is institutionalised, intentional and planned through public organisations and recognised private bodies, and – in their totality – constitute the formal education system of a country. Formal education programmes are thus recognised as such by the relevant national education or equivalent authorities, e.g. any other institution in cooperation with the national or sub-national education authorities.’ Non-formal education and training is defined as any institutionalised, intentional and organised/planned learning activities outside the formal education system. According to the classification of learning activities (CLA 2016), non-formal education and training comprises courses, seminars and workshops, private lessons or instructions and guided-on-the-job training. However, non-formal education as measured in the EU-LFS excludes guided-on-the-job training. The information collected covers both job-related (professional) and non-job related (personal, social, 'leisure') education and training activities.
More about this variableMale participation rate in education and training during the last four weeks preceding the survey. The participation rate in education and training covers participation in formal and non-formal education and training. The reference period for the participation in education and training is the four weeks prior to the interview. Formal education is defined by ISCED as ‘education that is institutionalised, intentional and planned through public organisations and recognised private bodies, and – in their totality – constitute the formal education system of a country. Formal education programmes are thus recognised as such by the relevant national education or equivalent authorities, e.g. any other institution in cooperation with the national or sub-national education authorities.’ Non-formal education and training is defined as any institutionalised, intentional and organised/planned learning activities outside the formal education system. According to the classification of learning activities (CLA 2016), non-formal education and training comprises courses, seminars and workshops, private lessons or instructions and guided-on-the-job training. However, non-formal education as measured in the EU-LFS excludes guided-on-the-job training. The information collected covers both job-related (professional) and non-job related (personal, social, 'leisure') education and training activities.
More about this variableParticipation rate in education and training during the last four weeks preceding the survey. The participation rate in education and training covers participation in formal and non-formal education and training. The reference period for the participation in education and training is the four weeks prior to the interview. Formal education is defined by ISCED as ‘education that is institutionalised, intentional and planned through public organisations and recognised private bodies, and – in their totality – constitute the formal education system of a country. Formal education programmes are thus recognised as such by the relevant national education or equivalent authorities, e.g. any other institution in cooperation with the national or sub-national education authorities.’ Non-formal education and training is defined as any institutionalised, intentional and organised/planned learning activities outside the formal education system. According to the classification of learning activities (CLA 2016), non-formal education and training comprises courses, seminars and workshops, private lessons or instructions and guided-on-the-job training. However, non-formal education as measured in the EU-LFS excludes guided-on-the-job training. The information collected covers both job-related (professional) and non-job related (personal, social, 'leisure') education and training activities.
More about this variableTotal fertility rate. It is the mean number of children that would be born alive to a woman during her lifetime if she were to pass through her childbearing years conforming to the fertility rates by age of a given year.
More about this variableFertility rate, at age 15. This age-specific fertility rate is calculated by dividing the number of births of mothers of age 15 to the average female population of age 15.
More about this variableFertility rate, at age 30. This age-specific fertility rate is calculated by dividing the number of births of mothers of age 30 to the average female population of age 30.
More about this variableFertility rate, at age 35. This age-specific fertility rate is calculated by dividing the number of births of mothers of age 35 to the average female population of age 35.
More about this variableRegional gross domestic product (GDP) by NUTS 2 regions in Million PPS (purchasing power standards). GDP is an indicator of the output of a country or a region. It reflects the total value of all goods and services produced less the value of goods and services used for intermediate consumption in their production. Expressing GDP in PPS eliminates differences in price levels between countries. Calculations on a per inhabitant basis allow for the comparison of economies and regions significantly different in absolute size. GDP per inhabitant in PPS is the key variable for determining the eligibility of NUTS 2 regions in the framework of the European Union's structural policy.
More about this variableRegional gross domestic product (GDP) by NUTS 2 regions in PPS (purchasing power standards) per inhabitant. GDP is an indicator of the output of a country or a region. It reflects the total value of all goods and services produced less the value of goods and services used for intermediate consumption in their production. Expressing GDP in PPS eliminates differences in price levels between countries. Calculations on a per inhabitant basis allow for the comparison of economies and regions significantly different in absolute size. GDP per inhabitant in PPS is the key variable for determining the eligibility of NUTS 2 regions in the framework of the European Union's structural policy.
More about this variableRegional gross domestic product (GDP) by NUTS 2 regions in PPS (purchasing power standards) per inhabitant, as % of EU27 (from 2020) average. GDP is an indicator of the output of a country or a region. It reflects the total value of all goods and services produced less the value of goods and services used for intermediate consumption in their production. Expressing GDP in PPS eliminates differences in price levels between countries. Calculations on a per inhabitant basis allow for the comparison of economies and regions significantly different in absolute size. GDP per inhabitant in PPS is the key variable for determining the eligibility of NUTS 2 regions in the framework of the European Union's structural policy.
More about this variableCrude rate of total population change. It is the ratio of the total population change during the year to the average population of the area in question in that year. The value is expressed per 1000 inhabitants.
More about this variableAvailable beds in hospitals (HP.1) per hundred thousand inhabitants. Health care facilities data refer to available beds in hospitals (HP.1) and subcategories (such as curative care beds, rehabilitative care beds, etc.). Total hospital beds (HP.1) are all hospital beds which are regularly maintained and staffed and immediately available for the care of admitted patients. Total hospital beds are broken down as follows: i) curative care (acute care) beds; ii) rehabilitative care beds; iii) long-term care beds (excluding psychiatric care beds) and iv) other hospital beds. The definition of health care facilities follows the International Classification for Health Accounts - Providers of health care (ICHA-HP) of the System of Health Accounts (SHA).
More about this variableCurative care beds in hospitals (HP.1) per hundred thousand inhabitants. Health care facilities data refer to available beds in hospitals (HP.1) and subcategories (such as curative care beds, rehabilitative care beds, etc.). Total hospital beds (HP.1) are all hospital beds which are regularly maintained and staffed and immediately available for the care of admitted patients. Total hospital beds are broken down as follows: i) curative care (acute care) beds; ii) rehabilitative care beds; iii) long-term care beds (excluding psychiatric care beds) and iv) other hospital beds. The definition of health care facilities follows the International Classification for Health Accounts - Providers of health care (ICHA-HP) of the System of Health Accounts (SHA).
More about this variableLong-term care beds in hospitals (HP.1) per hundred thousand inhabitants. Health care facilities data refer to available beds in hospitals (HP.1) and subcategories (such as curative care beds, rehabilitative care beds, etc.). Total hospital beds (HP.1) are all hospital beds which are regularly maintained and staffed and immediately available for the care of admitted patients. Total hospital beds are broken down as follows: i) curative care (acute care) beds; ii) rehabilitative care beds; iii) long-term care beds (excluding psychiatric care beds) and iv) other hospital beds. The definition of health care facilities follows the International Classification for Health Accounts - Providers of health care (ICHA-HP) of the System of Health Accounts (SHA).
More about this variableOther beds in hospitals (HP.1) per hundred thousand inhabitants. Health care facilities data refer to available beds in hospitals (HP.1) and subcategories (such as curative care beds, rehabilitative care beds, etc.). Total hospital beds (HP.1) are all hospital beds which are regularly maintained and staffed and immediately available for the care of admitted patients. Total hospital beds are broken down as follows: i) curative care (acute care) beds; ii) rehabilitative care beds; iii) long-term care beds (excluding psychiatric care beds) and iv) other hospital beds. The definition of health care facilities follows the International Classification for Health Accounts - Providers of health care (ICHA-HP) of the System of Health Accounts (SHA).
More about this variablePsychiatric care beds in hospitals (HP.1) per hundred thousand inhabitants. Health care facilities data refer to available beds in hospitals (HP.1) and subcategories (such as curative care beds, rehabilitative care beds, etc.). Total hospital beds (HP.1) are all hospital beds which are regularly maintained and staffed and immediately available for the care of admitted patients. Total hospital beds are broken down as follows: i) curative care (acute care) beds; ii) rehabilitative care beds; iii) long-term care beds (excluding psychiatric care beds) and iv) other hospital beds. The definition of health care facilities follows the International Classification for Health Accounts - Providers of health care (ICHA-HP) of the System of Health Accounts (SHA).
More about this variableRehabilitative care beds in hospitals (HP.1) per hundred thousand inhabitants. Health care facilities data refer to available beds in hospitals (HP.1) and subcategories (such as curative care beds, rehabilitative care beds, etc.). Total hospital beds (HP.1) are all hospital beds which are regularly maintained and staffed and immediately available for the care of admitted patients. Total hospital beds are broken down as follows: i) curative care (acute care) beds; ii) rehabilitative care beds; iii) long-term care beds (excluding psychiatric care beds) and iv) other hospital beds. The definition of health care facilities follows the International Classification for Health Accounts - Providers of health care (ICHA-HP) of the System of Health Accounts (SHA).
More about this variableNumber of deaths by circulatory system diseases, female. Causes of death (COD) statistics are based on information derived from the medical certificate of cause of death. COD target at the underlying cause of death, in accordance with the ICD-10 definition i.e. "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Expressed in deaths per 100,000 inhabitants, it is calculated as the number of deaths recorded in the population for a given period divided by population in the same period and then multiplied by 100,000.
More about this variableNumber of deaths by circulatory system diseases, male. Causes of death (COD) statistics are based on information derived from the medical certificate of cause of death. COD target at the underlying cause of death, in accordance with the ICD-10 definition i.e. "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Expressed in deaths per 100,000 inhabitants, it is calculated as the number of deaths recorded in the population for a given period divided by population in the same period and then multiplied by 100,000.
More about this variableNumber of deaths by circulatory system diseases, total. Causes of death (COD) statistics are based on information derived from the medical certificate of cause of death. COD target at the underlying cause of death, in accordance with the ICD-10 definition i.e. "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Expressed in deaths per 100,000 inhabitants, it is calculated as the number of deaths recorded in the population for a given period divided by population in the same period and then multiplied by 100,000.
More about this variableDentists, per hundred thousand inhabitants. Health care staff data refer to human resources available for providing health care services in the country, irrespective of the sector of employment (i.e. whether they are independent, employed by a hospital or any other health care provider). 'Manpower' categories focus on health care professionals (physicians, dentists, nursing and caring professionals, pharmacists, physiotherapists). Three different concepts are used to present the number of health care professionals: i) 'practising', i.e. health care professionals providing services directly to patients; ii) 'professionally active', i.e. 'practising' health care professionals plus health care professionals for whom their medical education is a prerequisite for the execution of the job; iii) 'licensed to practice', i.e. health care professionals who are registered and entitled to practice as health care professionals.
More about this variableNumber of deaths by HIV, female. Causes of death (COD) statistics are based on information derived from the medical certificate of cause of death. COD target at the underlying cause of death, in accordance with the ICD-10 definition i.e. "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Expressed in deaths per 100,000 inhabitants, it is calculated as the number of deaths recorded in the population for a given period divided by population in the same period and then multiplied by 100,000.
More about this variableNumber of deaths by HIV, male. Causes of death (COD) statistics are based on information derived from the medical certificate of cause of death. COD target at the underlying cause of death, in accordance with the ICD-10 definition i.e. "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Expressed in deaths per 100,000 inhabitants, it is calculated as the number of deaths recorded in the population for a given period divided by population in the same period and then multiplied by 100,000.
More about this variableNumber of deaths by HIV, total. Causes of death (COD) statistics are based on information derived from the medical certificate of cause of death. COD target at the underlying cause of death, in accordance with the ICD-10 definition i.e. "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Expressed in deaths per 100,000 inhabitants, it is calculated as the number of deaths recorded in the population for a given period divided by population in the same period and then multiplied by 100,000.
More about this variableNumber of deaths by infectious and parasitic diseases, female. Causes of death (COD) statistics are based on information derived from the medical certificate of cause of death. COD target at the underlying cause of death, in accordance with the ICD-10 definition i.e. "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Expressed in deaths per 100,000 inhabitants, it is calculated as the number of deaths recorded in the population for a given period divided by population in the same period and then multiplied by 100,000.
More about this variableNumber of deaths by infectious and parasitic diseases, male. Causes of death (COD) statistics are based on information derived from the medical certificate of cause of death. COD target at the underlying cause of death, in accordance with the ICD-10 definition i.e. "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Expressed in deaths per 100,000 inhabitants, it is calculated as the number of deaths recorded in the population for a given period divided by population in the same period and then multiplied by 100,000.
More about this variableNumber of deaths by infectious and parasitic diseases, total. Causes of death (COD) statistics are based on information derived from the medical certificate of cause of death. COD target at the underlying cause of death, in accordance with the ICD-10 definition i.e. "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Expressed in deaths per 100,000 inhabitants, it is calculated as the number of deaths recorded in the population for a given period divided by population in the same period and then multiplied by 100,000.
More about this variableMedical doctors, per hundred thousand inhabitants. Health care staff data refer to human resources available for providing health care services in the country, irrespective of the sector of employment (i.e. whether they are independent, employed by a hospital or any other health care provider). 'Manpower' categories focus on health care professionals (physicians, dentists, nursing and caring professionals, pharmacists, physiotherapists). Three different concepts are used to present the number of health care professionals: i) 'practising', i.e. health care professionals providing services directly to patients; ii) 'professionally active', i.e. 'practising' health care professionals plus health care professionals for whom their medical education is a prerequisite for the execution of the job; iii) 'licensed to practice', i.e. health care professionals who are registered and entitled to practice as health care professionals.
More about this variableNumber of deaths by malignant neoplasms, female. Causes of death (COD) statistics are based on information derived from the medical certificate of cause of death. COD target at the underlying cause of death, in accordance with the ICD-10 definition i.e. "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Expressed in deaths per 100,000 inhabitants, it is calculated as the number of deaths recorded in the population for a given period divided by population in the same period and then multiplied by 100,000.
More about this variableNumber of deaths by malignant neoplasms, male. Causes of death (COD) statistics are based on information derived from the medical certificate of cause of death. COD target at the underlying cause of death, in accordance with the ICD-10 definition i.e. "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Expressed in deaths per 100,000 inhabitants, it is calculated as the number of deaths recorded in the population for a given period divided by population in the same period and then multiplied by 100,000.
More about this variableNumber of deaths by malignant neoplasms, total. Causes of death (COD) statistics are based on information derived from the medical certificate of cause of death. COD target at the underlying cause of death, in accordance with the ICD-10 definition i.e. "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Expressed in deaths per 100,000 inhabitants, it is calculated as the number of deaths recorded in the population for a given period divided by population in the same period and then multiplied by 100,000.
More about this variableNumber of deaths by nervous system diseases, female. Causes of death (COD) statistics are based on information derived from the medical certificate of cause of death. COD target at the underlying cause of death, in accordance with the ICD-10 definition i.e. "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Expressed in deaths per 100,000 inhabitants, it is calculated as the number of deaths recorded in the population for a given period divided by population in the same period and then multiplied by 100,000.
More about this variableNumber of deaths by nervous system diseases, male. Causes of death (COD) statistics are based on information derived from the medical certificate of cause of death. COD target at the underlying cause of death, in accordance with the ICD-10 definition i.e. "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Expressed in deaths per 100,000 inhabitants, it is calculated as the number of deaths recorded in the population for a given period divided by population in the same period and then multiplied by 100,000.
More about this variableNumber of deaths by nervous system diseases, total. Causes of death (COD) statistics are based on information derived from the medical certificate of cause of death. COD target at the underlying cause of death, in accordance with the ICD-10 definition i.e. "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Expressed in deaths per 100,000 inhabitants, it is calculated as the number of deaths recorded in the population for a given period divided by population in the same period and then multiplied by 100,000.
More about this variableNurses and midwives, per hundred thousand inhabitants. Health care staff data refer to human resources available for providing health care services in the country, irrespective of the sector of employment (i.e. whether they are independent, employed by a hospital or any other health care provider). 'Manpower' categories focus on health care professionals (physicians, dentists, nursing and caring professionals, pharmacists, physiotherapists). Three different concepts are used to present the number of health care professionals: i) 'practising', i.e. health care professionals providing services directly to patients; ii) 'professionally active', i.e. 'practising' health care professionals plus health care professionals for whom their medical education is a prerequisite for the execution of the job; iii) 'licensed to practice', i.e. health care professionals who are registered and entitled to practice as health care professionals.
More about this variablePharmacists per hundred thousand inhabitants. Health care staff data refer to human resources available for providing health care services in the country, irrespective of the sector of employment (i.e. whether they are independent, employed by a hospital or any other health care provider). 'Manpower' categories focus on health care professionals (physicians, dentists, nursing and caring professionals, pharmacists, physiotherapists). Three different concepts are used to present the number of health care professionals: i) 'practising', i.e. health care professionals providing services directly to patients; ii) 'professionally active', i.e. 'practising' health care professionals plus health care professionals for whom their medical education is a prerequisite for the execution of the job; iii) 'licensed to practice', i.e. health care professionals who are registered and entitled to practice as health care professionals.
More about this variablePhysiotherapists per hundred thousand inhabitants. Health care staff data refer to human resources available for providing health care services in the country, irrespective of the sector of employment (i.e. whether they are independent, employed by a hospital or any other health care provider). 'Manpower' categories focus on health care professionals (physicians, dentists, nursing and caring professionals, pharmacists, physiotherapists). Three different concepts are used to present the number of health care professionals: i) 'practising', i.e. health care professionals providing services directly to patients; ii) 'professionally active', i.e. 'practising' health care professionals plus health care professionals for whom their medical education is a prerequisite for the execution of the job; iii) 'licensed to practice', i.e. health care professionals who are registered and entitled to practice as health care professionals.
More about this variableNumber of deaths by pregnancy, childbirth and puerperium. Causes of death (COD) statistics are based on information derived from the medical certificate of cause of death. COD target at the underlying cause of death, in accordance with the ICD-10 definition i.e. "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Expressed in deaths per 100,000 inhabitants, it is calculated as the number of deaths recorded in the population for a given period divided by population in the same period and then multiplied by 100,000.
More about this variableNumber of deaths by self-harm, female. Causes of death (COD) statistics are based on information derived from the medical certificate of cause of death. COD target at the underlying cause of death, in accordance with the ICD-10 definition i.e. "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Expressed in deaths per 100,000 inhabitants, it is calculated as the number of deaths recorded in the population for a given period divided by population in the same period and then multiplied by 100,000.
More about this variableNumber of deaths by self-harm, male. Causes of death (COD) statistics are based on information derived from the medical certificate of cause of death. COD target at the underlying cause of death, in accordance with the ICD-10 definition i.e. "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Expressed in deaths per 100,000 inhabitants, it is calculated as the number of deaths recorded in the population for a given period divided by population in the same period and then multiplied by 100,000.
More about this variableNumber of deaths by self-harm, total. Causes of death (COD) statistics are based on information derived from the medical certificate of cause of death. COD target at the underlying cause of death, in accordance with the ICD-10 definition i.e. "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Expressed in deaths per 100,000 inhabitants, it is calculated as the number of deaths recorded in the population for a given period divided by population in the same period and then multiplied by 100,000.
More about this variableNumber of deaths by drug dependence, female. Causes of death (COD) statistics are based on information derived from the medical certificate of cause of death. COD target at the underlying cause of death, in accordance with the ICD-10 definition i.e. "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Expressed in deaths per 100,000 inhabitants, it is calculated as the number of deaths recorded in the population for a given period divided by population in the same period and then multiplied by 100,000.
More about this variableNumber of deaths by drug dependence, male. Causes of death (COD) statistics are based on information derived from the medical certificate of cause of death. COD target at the underlying cause of death, in accordance with the ICD-10 definition i.e. "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Expressed in deaths per 100,000 inhabitants, it is calculated as the number of deaths recorded in the population for a given period divided by population in the same period and then multiplied by 100,000.
More about this variableNumber of deaths by drug dependence, total. Causes of death (COD) statistics are based on information derived from the medical certificate of cause of death. COD target at the underlying cause of death, in accordance with the ICD-10 definition i.e. "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Expressed in deaths per 100,000 inhabitants, it is calculated as the number of deaths recorded in the population for a given period divided by population in the same period and then multiplied by 100,000.
More about this variablePercentage of people reporting drinking every day
More about this variablePercentage reporting drinking every month
More about this variablePercentage of people reporting drinking never or not in last 12 months
More about this variablePercentage of people reporting drinking every week
More about this variableDentists per hundred thousand inhabitants. Professionally active.
More about this variableNumber of Dentists. Professionally active.
More about this variableNumber of inhabitants per dentist. Professionally active.
More about this variableCurative care beds in hospitals, inhabitants per curative care beds
More about this variableCurative care beds in hospitals, number
More about this variableCurative care beds in hospitals, per hundred thousand inhabitants
More about this variableAvailable beds in hospitals, inhabitants per bed
More about this variableLong-term care beds (except psychiatric) in hospitals, inhabitants per bed
More about this variableLong-term care beds (except psychiatric) in hospitals, number
More about this variableLong-term care beds (except psychiatric) in hospitals, per 100 thousand inhabitants
More about this variableAvailable beds in hospitals, number
More about this variableOther beds in hospitals, inhabitants per bed
More about this variableOther beds in hospitals, number
More about this variableOther beds in hospitals, Per hundred thousand inhabitants
More about this variableAvailable beds in hospitals, per hundred thousand inhabitants
More about this variablePsychiatric care beds in hospitals, inhabitants per bed
More about this variablePsychiatric care beds in hospitals, number
More about this variablePsychiatric care beds in hospitals, per hundred thousand inhabitants
More about this variableMedical doctors, per hundred thousand inhabitants. Professionally active.
More about this variableMedical doctors, number. Professionally active.
More about this variableMedical doctors, Inhabitants per doctor. Professionally active.
More about this variableProfessionally active nurses and midwives, per hundred thousand inhabitants
More about this variableProfessionally active nurses and midwives, number
More about this variableProfessionally active nurses and midwives, inhabitants per nurse/midwife
More about this variablePharmacists, per hundred thousand inhabitants. Professionally active.
More about this variablePharmacists, number. Professionally active.
More about this variablePharmacists, inhabitants per pharmacist. Professionally active.
More about this variablePercentage of current smokers and daily smokers
More about this variablePercentage of individuals whose last online purchase between 3 and 12 months ago. Data given in this domain are collected annually by the National Statistical Institutes and are based on Eurostat's annual model questionnaires on ICT (Information and Communication Technologies) usage in households and by individuals. The survey comprises questions at household level and individual level. The population of households consists of all private households having at least one member in the age group 16 to 74 years. The population of individuals consists of all individuals aged 16 to 74 (on an optional basis some countries collect separate data on other age groups, individuals aged 15 years or less, aged 75 or more). Regional breakdowns have been provided on a voluntary basis for 2006 and 2007 according to NUTS1 or NUTS2 by several countries. Starting from 2008, the collection of NUTS1 breakdowns is obligatory (regional breakdowns for all countries are available) while NUTS2 breakdowns are still optional.
More about this variablePercentage of individuals who have made online purchases from sellers in other EU countries. Data given in this domain are collected annually by the National Statistical Institutes and are based on Eurostat's annual model questionnaires on ICT (Information and Communication Technologies) usage in households and by individuals. The survey comprises questions at household level and individual level. The population of households consists of all private households having at least one member in the age group 16 to 74 years. The population of individuals consists of all individuals aged 16 to 74 (on an optional basis some countries collect separate data on other age groups, individuals aged 15 years or less, aged 75 or more). Regional breakdowns have been provided on a voluntary basis for 2006 and 2007 according to NUTS1 or NUTS2 by several countries. Starting from 2008, the collection of NUTS1 breakdowns is obligatory (regional breakdowns for all countries are available) while NUTS2 breakdowns are still optional.
More about this variablePercentage of individuals who purchased travel and holiday accommodation online. Data given in this domain are collected annually by the National Statistical Institutes and are based on Eurostat's annual model questionnaires on ICT (Information and Communication Technologies) usage in households and by individuals. The survey comprises questions at household level and individual level. The population of households consists of all private households having at least one member in the age group 16 to 74 years. The population of individuals consists of all individuals aged 16 to 74 (on an optional basis some countries collect separate data on other age groups, individuals aged 15 years or less, aged 75 or more). Regional breakdowns have been provided on a voluntary basis for 2006 and 2007 according to NUTS1 or NUTS2 by several countries. Starting from 2008, the collection of NUTS1 breakdowns is obligatory (regional breakdowns for all countries are available) while NUTS2 breakdowns are still optional.
More about this variablePercentage of individuals who made an online purchase in the 12 months. Data given in this domain are collected annually by the National Statistical Institutes and are based on Eurostat's annual model questionnaires on ICT (Information and Communication Technologies) usage in households and by individuals. The survey comprises questions at household level and individual level. The population of households consists of all private households having at least one member in the age group 16 to 74 years. The population of individuals consists of all individuals aged 16 to 74 (on an optional basis some countries collect separate data on other age groups, individuals aged 15 years or less, aged 75 or more). Regional breakdowns have been provided on a voluntary basis for 2006 and 2007 according to NUTS1 or NUTS2 by several countries. Starting from 2008, the collection of NUTS1 breakdowns is obligatory (regional breakdowns for all countries are available) while NUTS2 breakdowns are still optional.
More about this variablePercentage of individuals who ordered goods or services in internet more than a year ago or never. Data given in this domain are collected annually by the National Statistical Institutes and are based on Eurostat's annual model questionnaires on ICT (Information and Communication Technologies) usage in households and by individuals. The survey comprises questions at household level and individual level. The population of households consists of all private households having at least one member in the age group 16 to 74 years. The population of individuals consists of all individuals aged 16 to 74 (on an optional basis some countries collect separate data on other age groups, individuals aged 15 years or less, aged 75 or more). Regional breakdowns have been provided on a voluntary basis for 2006 and 2007 according to NUTS1 or NUTS2 by several countries. Starting from 2008, the collection of NUTS1 breakdowns is obligatory (regional breakdowns for all countries are available) while NUTS2 breakdowns are still optional.
More about this variablePercentage of individuals who made an online purchase in the last 3 months. Data given in this domain are collected annually by the National Statistical Institutes and are based on Eurostat's annual model questionnaires on ICT (Information and Communication Technologies) usage in households and by individuals. The survey comprises questions at household level and individual level. The population of households consists of all private households having at least one member in the age group 16 to 74 years. The population of individuals consists of all individuals aged 16 to 74 (on an optional basis some countries collect separate data on other age groups, individuals aged 15 years or less, aged 75 or more). Regional breakdowns have been provided on a voluntary basis for 2006 and 2007 according to NUTS1 or NUTS2 by several countries. Starting from 2008, the collection of NUTS1 breakdowns is obligatory (regional breakdowns for all countries are available) while NUTS2 breakdowns are still optional.
More about this variableNumber of immigrants aged less than 18, female
More about this variableNumber of immigrants aged less than 18, male
More about this variableNumber of immigrants aged less than 18, total
More about this variableNumber of immigrants aged 18 to 24, female
More about this variableNumber of immigrants aged 18 to 24, male
More about this variableNumber of immigrants aged 18 to 24, total
More about this variableNumber of immigrants aged 25 to 34, female
More about this variableNumber of immigrants aged 25 to 34, male
More about this variableNumber of immigrants aged 25 to 34, total
More about this variableNumber of immigrants aged 35 to 64, female
More about this variableNumber of immigrants aged 35 to 64, male
More about this variableNumber of immigrants aged 35 to 64, total
More about this variableNumber of immigrants aged more than 65, female
More about this variableNumber of immigrants aged more than 65, male
More about this variableNumber of immigrants aged more than 65, total
More about this variablePercentage of households with broadband internet access. Data given in this domain are collected annually by the National Statistical Institutes and are based on Eurostat's annual model questionnaires on ICT (Information and Communication Technologies) usage in households and by individuals. The survey comprises questions at household level and individual level. The population of households consists of all private households having at least one member in the age group 16 to 74 years. The population of individuals consists of all individuals aged 16 to 74 (on an optional basis some countries collect separate data on other age groups, individuals aged 15 years or less, aged 75 or more). Regional breakdowns have been provided on a voluntary basis for 2006 and 2007 according to NUTS1 or NUTS2 by several countries. Starting from 2008, the collection of NUTS1 breakdowns is obligatory (regional breakdowns for all countries are available) while NUTS2 breakdowns are still optional.
More about this variablePercentage of households with internet access. Data given in this domain are collected annually by the National Statistical Institutes and are based on Eurostat's annual model questionnaires on ICT (Information and Communication Technologies) usage in households and by individuals. The survey comprises questions at household level and individual level. The population of households consists of all private households having at least one member in the age group 16 to 74 years. The population of individuals consists of all individuals aged 16 to 74 (on an optional basis some countries collect separate data on other age groups, individuals aged 15 years or less, aged 75 or more). Regional breakdowns have been provided on a voluntary basis for 2006 and 2007 according to NUTS1 or NUTS2 by several countries. Starting from 2008, the collection of NUTS1 breakdowns is obligatory (regional breakdowns for all countries are available) while NUTS2 breakdowns are still optional.
More about this variableInternet use: internet banking as percentage of all individuals
More about this variableInternet use: civic or political participation as percentage of all individuals
More about this variableInternet use: seeking health information as percentage of all individuals
More about this variableInternet use: participating in social networks as percentage of all individuals
More about this variableInternet use: selling goods or services as percentage of all individuals
More about this variableInternet use: never as a percentage of all individuals
More about this variableHouseholds with broadband access (% of households with Internet access)
More about this variablePercentage of individuals using the internet to interact with public authorities. Data given in this domain are collected annually by the National Statistical Institutes and are based on Eurostat's annual model questionnaires on ICT (Information and Communication Technologies) usage in households and by individuals. The survey comprises questions at household level and individual level. The population of households consists of all private households having at least one member in the age group 16 to 74 years. The population of individuals consists of all individuals aged 16 to 74 (on an optional basis some countries collect separate data on other age groups, individuals aged 15 years or less, aged 75 or more). Regional breakdowns have been provided on a voluntary basis for 2006 and 2007 according to NUTS1 or NUTS2 by several countries. Starting from 2008, the collection of NUTS1 breakdowns is obligatory (regional breakdowns for all countries are available) while NUTS2 breakdowns are still optional.
More about this variablePercentage of individuals using the internet to submit forms to authorities. Data given in this domain are collected annually by the National Statistical Institutes and are based on Eurostat's annual model questionnaires on ICT (Information and Communication Technologies) usage in households and by individuals. The survey comprises questions at household level and individual level. The population of households consists of all private households having at least one member in the age group 16 to 74 years. The population of individuals consists of all individuals aged 16 to 74 (on an optional basis some countries collect separate data on other age groups, individuals aged 15 years or less, aged 75 or more). Regional breakdowns have been provided on a voluntary basis for 2006 and 2007 according to NUTS1 or NUTS2 by several countries. Starting from 2008, the collection of NUTS1 breakdowns is obligatory (regional breakdowns for all countries are available) while NUTS2 breakdowns are still optional.
More about this variablePercentage of individuals using the internet on a daily basis. Data given in this domain are collected annually by the National Statistical Institutes and are based on Eurostat's annual model questionnaires on ICT (Information and Communication Technologies) usage in households and by individuals. The survey comprises questions at household level and individual level. The population of households consists of all private households having at least one member in the age group 16 to 74 years. The population of individuals consists of all individuals aged 16 to 74 (on an optional basis some countries collect separate data on other age groups, individuals aged 15 years or less, aged 75 or more). Regional breakdowns have been provided on a voluntary basis for 2006 and 2007 according to NUTS1 or NUTS2 by several countries. Starting from 2008, the collection of NUTS1 breakdowns is obligatory (regional breakdowns for all countries are available) while NUTS2 breakdowns are still optional.
More about this variablePercentage of individuals who used the internet in the last 12 months. Data given in this domain are collected annually by the National Statistical Institutes and are based on Eurostat's annual model questionnaires on ICT (Information and Communication Technologies) usage in households and by individuals. The survey comprises questions at household level and individual level. The population of households consists of all private households having at least one member in the age group 16 to 74 years. The population of individuals consists of all individuals aged 16 to 74 (on an optional basis some countries collect separate data on other age groups, individuals aged 15 years or less, aged 75 or more). Regional breakdowns have been provided on a voluntary basis for 2006 and 2007 according to NUTS1 or NUTS2 by several countries. Starting from 2008, the collection of NUTS1 breakdowns is obligatory (regional breakdowns for all countries are available) while NUTS2 breakdowns are still optional.
More about this variablePercentage of individuals who used the internet in the last 3 months. Data given in this domain are collected annually by the National Statistical Institutes and are based on Eurostat's annual model questionnaires on ICT (Information and Communication Technologies) usage in households and by individuals. The survey comprises questions at household level and individual level. The population of households consists of all private households having at least one member in the age group 16 to 74 years. The population of individuals consists of all individuals aged 16 to 74 (on an optional basis some countries collect separate data on other age groups, individuals aged 15 years or less, aged 75 or more). Regional breakdowns have been provided on a voluntary basis for 2006 and 2007 according to NUTS1 or NUTS2 by several countries. Starting from 2008, the collection of NUTS1 breakdowns is obligatory (regional breakdowns for all countries are available) while NUTS2 breakdowns are still optional.
More about this variablePercentage of individuals using the internet banking. Data given in this domain are collected annually by the National Statistical Institutes and are based on Eurostat's annual model questionnaires on ICT (Information and Communication Technologies) usage in households and by individuals. The survey comprises questions at household level and individual level. The population of households consists of all private households having at least one member in the age group 16 to 74 years. The population of individuals consists of all individuals aged 16 to 74 (on an optional basis some countries collect separate data on other age groups, individuals aged 15 years or less, aged 75 or more). Regional breakdowns have been provided on a voluntary basis for 2006 and 2007 according to NUTS1 or NUTS2 by several countries. Starting from 2008, the collection of NUTS1 breakdowns is obligatory (regional breakdowns for all countries are available) while NUTS2 breakdowns are still optional.
More about this variablePercentage of individuals using the internet for civic and political participation. Data given in this domain are collected annually by the National Statistical Institutes and are based on Eurostat's annual model questionnaires on ICT (Information and Communication Technologies) usage in households and by individuals. The survey comprises questions at household level and individual level. The population of households consists of all private households having at least one member in the age group 16 to 74 years. The population of individuals consists of all individuals aged 16 to 74 (on an optional basis some countries collect separate data on other age groups, individuals aged 15 years or less, aged 75 or more). Regional breakdowns have been provided on a voluntary basis for 2006 and 2007 according to NUTS1 or NUTS2 by several countries. Starting from 2008, the collection of NUTS1 breakdowns is obligatory (regional breakdowns for all countries are available) while NUTS2 breakdowns are still optional.
More about this variablePercentage of individuals using the internet at least once a week. Data given in this domain are collected annually by the National Statistical Institutes and are based on Eurostat's annual model questionnaires on ICT (Information and Communication Technologies) usage in households and by individuals. The survey comprises questions at household level and individual level. The population of households consists of all private households having at least one member in the age group 16 to 74 years. The population of individuals consists of all individuals aged 16 to 74 (on an optional basis some countries collect separate data on other age groups, individuals aged 15 years or less, aged 75 or more). Regional breakdowns have been provided on a voluntary basis for 2006 and 2007 according to NUTS1 or NUTS2 by several countries. Starting from 2008, the collection of NUTS1 breakdowns is obligatory (regional breakdowns for all countries are available) while NUTS2 breakdowns are still optional.
More about this variablePercentage of individuals using the internet to sell goods or services. Data given in this domain are collected annually by the National Statistical Institutes and are based on Eurostat's annual model questionnaires on ICT (Information and Communication Technologies) usage in households and by individuals. The survey comprises questions at household level and individual level. The population of households consists of all private households having at least one member in the age group 16 to 74 years. The population of individuals consists of all individuals aged 16 to 74 (on an optional basis some countries collect separate data on other age groups, individuals aged 15 years or less, aged 75 or more). Regional breakdowns have been provided on a voluntary basis for 2006 and 2007 according to NUTS1 or NUTS2 by several countries. Starting from 2008, the collection of NUTS1 breakdowns is obligatory (regional breakdowns for all countries are available) while NUTS2 breakdowns are still optional.
More about this variablePercentage of individuals using the internet to participate in social networks. Data given in this domain are collected annually by the National Statistical Institutes and are based on Eurostat's annual model questionnaires on ICT (Information and Communication Technologies) usage in households and by individuals. The survey comprises questions at household level and individual level. The population of households consists of all private households having at least one member in the age group 16 to 74 years. The population of individuals consists of all individuals aged 16 to 74 (on an optional basis some countries collect separate data on other age groups, individuals aged 15 years or less, aged 75 or more). Regional breakdowns have been provided on a voluntary basis for 2006 and 2007 according to NUTS1 or NUTS2 by several countries. Starting from 2008, the collection of NUTS1 breakdowns is obligatory (regional breakdowns for all countries are available) while NUTS2 breakdowns are still optional.
More about this variablePercentage of individuals who have never used the internet. Data given in this domain are collected annually by the National Statistical Institutes and are based on Eurostat's annual model questionnaires on ICT (Information and Communication Technologies) usage in households and by individuals. The survey comprises questions at household level and individual level. The population of households consists of all private households having at least one member in the age group 16 to 74 years. The population of individuals consists of all individuals aged 16 to 74 (on an optional basis some countries collect separate data on other age groups, individuals aged 15 years or less, aged 75 or more). Regional breakdowns have been provided on a voluntary basis for 2006 and 2007 according to NUTS1 or NUTS2 by several countries. Starting from 2008, the collection of NUTS1 breakdowns is obligatory (regional breakdowns for all countries are available) while NUTS2 breakdowns are still optional.
More about this variablePercentage of individuals who have never used a computer. Data given in this domain are collected annually by the National Statistical Institutes and are based on Eurostat's annual model questionnaires on ICT (Information and Communication Technologies) usage in households and by individuals. The survey comprises questions at household level and individual level. The population of households consists of all private households having at least one member in the age group 16 to 74 years. The population of individuals consists of all individuals aged 16 to 74 (on an optional basis some countries collect separate data on other age groups, individuals aged 15 years or less, aged 75 or more). Regional breakdowns have been provided on a voluntary basis for 2006 and 2007 according to NUTS1 or NUTS2 by several countries. Starting from 2008, the collection of NUTS1 breakdowns is obligatory (regional breakdowns for all countries are available) while NUTS2 breakdowns are still optional.
More about this variablePercentage of individuals who accessed the internet away from home or work. Data given in this domain are collected annually by the National Statistical Institutes and are based on Eurostat's annual model questionnaires on ICT (Information and Communication Technologies) usage in households and by individuals. The survey comprises questions at household level and individual level. The population of households consists of all private households having at least one member in the age group 16 to 74 years. The population of individuals consists of all individuals aged 16 to 74 (on an optional basis some countries collect separate data on other age groups, individuals aged 15 years or less, aged 75 or more). Regional breakdowns have been provided on a voluntary basis for 2006 and 2007 according to NUTS1 or NUTS2 by several countries. Starting from 2008, the collection of NUTS1 breakdowns is obligatory (regional breakdowns for all countries are available) while NUTS2 breakdowns are still optional.
More about this variablePercentage of individuals who accessed the internet away from home or work in the last 3 months. Data given in this domain are collected annually by the National Statistical Institutes and are based on Eurostat's annual model questionnaires on ICT (Information and Communication Technologies) usage in households and by individuals. The survey comprises questions at household level and individual level. The population of households consists of all private households having at least one member in the age group 16 to 74 years. The population of individuals consists of all individuals aged 16 to 74 (on an optional basis some countries collect separate data on other age groups, individuals aged 15 years or less, aged 75 or more). Regional breakdowns have been provided on a voluntary basis for 2006 and 2007 according to NUTS1 or NUTS2 by several countries. Starting from 2008, the collection of NUTS1 breakdowns is obligatory (regional breakdowns for all countries are available) while NUTS2 breakdowns are still optional.
More about this variableLong-term unemployment as a percentage of active population. Long-term unemployment is defined as being unemployed for 12 months or longer. Unemployed persons comprise persons aged 15 to 74 who fulfil all the three following conditions: - are without work during the reference week; - are available to start work within the next two weeks; - have been actively seeking work in the past four weeks or have already found a job to start within the next three months. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO).
More about this variableLong-term unemployment as a percentage of unemployment. Long-term unemployment is defined as being unemployed for 12 months or longer. Unemployed persons comprise persons aged 15 to 74 who fulfil all the three following conditions: - are without work during the reference week; - are available to start work within the next two weeks; - have been actively seeking work in the past four weeks or have already found a job to start within the next three months. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO).
More about this variableLong-term unemployment in thousands. Long-term unemployment is defined as being unemployed for 12 months or longer. Unemployed persons comprise persons aged 15 to 74 who fulfil all the three following conditions: - are without work during the reference week; - are available to start work within the next two weeks; - have been actively seeking work in the past four weeks or have already found a job to start within the next three months. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO).
More about this variablePopulation aged 0-59 living in households with very low work intensity by NUTS regions, as a percentage of total population. People living in households with very low work intensity are people aged 0-59 living in households where the adults work less than 20% of their total work potential during the past year.
More about this variablePopulation aged 0-59 living in households with very low work intensity by NUTS regions, as a percentage of total population aged less than 60. People living in households with very low work intensity are people aged 0-59 living in households where the adults work less than 20% of their total work potential during the past year.
More about this variablePercentage of total population living in conditions of severe material deprivation by NUTS 2 regions. The collection "material deprivation" covers indicators relating to economic strain, durables, housing and environment of the dwelling. Severely materially deprived persons have living conditions severely constrained by a lack of resources, they experience at least 4 out of 9 following deprivations items: they cannot afford i) to pay rent or utility bills, ii) keep home adequately warm, iii) face unexpected expenses, iv) eat meat, fish or a protein equivalent every second day, v) a week holiday away from home, vi) a car, vii) a washing machine, viii) a colour TV, ix) a telephone.
More about this variableRegional gross domestic product (GDP) by NUTS 2 regions in Million euro. GDP is an indicator of the output of a country or a region. It reflects the total value of all goods and services produced less the value of goods and services used for intermediate consumption in their production. Expressing GDP in PPS (purchasing power standards) eliminates differences in price levels between countries. Calculations on a per inhabitant basis allow for the comparison of economies and regions significantly different in absolute size. GDP per inhabitant in PPS is the key variable for determining the eligibility of NUTS 2 regions in the framework of the European Union's structural policy.
More about this variableLife expectancy in years at 1 year old, female. Life expectancy at given exact age is the mean number of years still to be lived by a person who has reached a certain exact age, if subjected throughout the rest of his or her life to the current mortality conditions (age-specific probabilities of dying).
More about this variableLife expectancy in years at 1 year old, male. Life expectancy at given exact age is the mean number of years still to be lived by a person who has reached a certain exact age, if subjected throughout the rest of his or her life to the current mortality conditions (age-specific probabilities of dying).
More about this variableLife expectancy in years at 1 year old, total. Life expectancy at given exact age is the mean number of years still to be lived by a person who has reached a certain exact age, if subjected throughout the rest of his or her life to the current mortality conditions (age-specific probabilities of dying).
More about this variableMaritime transport of freight loaded in thousand tonnes. The maritime transport regional data have been calculated using data collected at the port level in the frame of Council Directive 2009/42/EC (6.5.2009). They are aggregated at regional level (NUTS 1 and NUTS 2) and also at national level (NUTS0), excluding double counting within each region.
More about this variableMaritime transport of freight loaded and unloaded in thousand tonnes. The maritime transport regional data have been calculated using data collected at the port level in the frame of Council Directive 2009/42/EC (6.5.2009). They are aggregated at regional level (NUTS 1 and NUTS 2) and also at national level (NUTS0), excluding double counting within each region.
More about this variableMaritime transport of freight unloaded in thousand tonnes. The maritime transport regional data have been calculated using data collected at the port level in the frame of Council Directive 2009/42/EC (6.5.2009). They are aggregated at regional level (NUTS 1 and NUTS 2) and also at national level (NUTS0), excluding double counting within each region.
More about this variableMaritime transport of passengers embarked and disembarked in thousand passengers. The maritime transport regional data have been calculated using data collected at the port level in the frame of Council Directive 2009/42/EC (6.5.2009). They are aggregated at regional level (NUTS 1 and NUTS 2) and also at national level (NUTS0), excluding double counting within each region.
More about this variableAir transport of passengers carried in thousand passengers. The air transport regional data have been calculated using data collected at the airport level in the frame of Commission Regulation (EC) No 1358/2003. They are aggregated at regional level (NUTS 1 and NUTS 2) and also at national level (NUTS0), excluding double counting within each region.
More about this variableAir transport of passengers carried (arrival) in thousand passengers. The air transport regional data have been calculated using data collected at the airport level in the frame of Commission Regulation (EC) No 1358/2003. They are aggregated at regional level (NUTS 1 and NUTS 2) and also at national level (NUTS0), excluding double counting within each region.
More about this variableAir transport of passengers carried (departures), in thousand passengers. The air transport regional data have been calculated using data collected at the airport level in the frame of Commission Regulation (EC) No 1358/2003. They are aggregated at regional level (NUTS 1 and NUTS 2) and also at national level (NUTS0), excluding double counting within each region.
More about this variableMaritime transport of passengers disembarked in thousand passengers. The maritime transport regional data have been calculated using data collected at the port level in the frame of Council Directive 2009/42/EC (6.5.2009). They are aggregated at regional level (NUTS 1 and NUTS 2) and also at national level (NUTS0), excluding double counting within each region.
More about this variableMaritime transport of passengers embarked in thousand passengers. The maritime transport regional data have been calculated using data collected at the port level in the frame of Council Directive 2009/42/EC (6.5.2009). They are aggregated at regional level (NUTS 1 and NUTS 2) and also at national level (NUTS0), excluding double counting within each region.
More about this variableCrude rate of natural change. It is the ratio of natural change over a period to the average population of the area in question during that period. The value is expressed per 1000 inhabitants.
More about this variable15-24 year old females neither in employment nor in education as percentage. The indicator on young people neither in employment nor in education and training (NEET) provides information on young people aged 15 to 24 who meet the following two conditions: (a) they are not employed (i.e. unemployed or inactive according to the International Labour Organisation definition) and (b) they have not received any education or training in the four weeks preceding the survey. Data are expressed as a percentage of the total population in the same age group and sex, excluding the respondents who have not answered the question 'participation to education and training'. Data come from the European Union Labour Force Survey.
More about this variable15-24 year old males neither in employment nor in education as percentage. The indicator on young people neither in employment nor in education and training (NEET) provides information on young people aged 15 to 24 who meet the following two conditions: (a) they are not employed (i.e. unemployed or inactive according to the International Labour Organisation definition) and (b) they have not received any education or training in the four weeks preceding the survey. Data are expressed as a percentage of the total population in the same age group and sex, excluding the respondents who have not answered the question 'participation to education and training'. Data come from the European Union Labour Force Survey.
More about this variable15-24 year old population neither in employment nor in education as percentage. The indicator on young people neither in employment nor in education and training (NEET) provides information on young people aged 15 to 24 who meet the following two conditions: (a) they are not employed (i.e. unemployed or inactive according to the International Labour Organisation definition) and (b) they have not received any education or training in the four weeks preceding the survey. Data are expressed as a percentage of the total population in the same age group and sex, excluding the respondents who have not answered the question 'participation to education and training'. Data come from the European Union Labour Force Survey.
More about this variableMean age of women at childbirth. It is calculated as the mean age of women when their children are born.
More about this variableAverage population density per square km. Population density is the ratio of the (annual average) population of a region to the (land) area of the region; total area (including inland waters) is used when land area is not available.
More about this variablePrimary income of private households by NUTS 2 regions in PPS (purchasing power standards) based on final consumption per inhabitant. The disposable income of private households is the balance of primary income (operating surplus/mixed income plus compensation of employees plus property income received minus property income paid) and the redistribution of income in cash. These transactions comprise social contributions paid, social benefits in cash received, current taxes on income and wealth paid, as well as other current transfers. Disposable income does not include social transfers in kind coming from public administrations or non-profit institutions serving households.
More about this variableSevere material deprivation rate (Total)
More about this variableSevere material deprivation rate (Female)
More about this variableSevere material deprivation rate (Male)
More about this variablePercentage of people under 60 years old living in households with very low work intensity
More about this variablePeople at risk of poverty or social exclusion by NUTS 2 regions, percentage of total population. Persons who are at risk of poverty or severely materially deprived or living in households with very low work intensity. Persons are only counted once even if they are present in several sub-indicators. At risk-of-poverty are persons with an equivalised disposable income below the risk-of-poverty threshold, which is set at 60 % of the national median equivalised disposable income (after social transfers). Material deprivation covers indicators relating to economic strain and durables. Severely materially deprived persons have living conditions severely constrained by a lack of resources, they experience at least 4 out of 9 following deprivations items: cannot afford i) to pay rent or utility bills, ii) keep home adequately warm, iii) face unexpected expenses, iv) eat meat, fish or a protein equivalent every second day, v) a week holiday away from home, vi) a car, vii) a washing machine, viii) a colour TV, or ix) a telephone. People living in households with very low work intensity are those aged 0-59 living in households where the adults (aged 18-59) work less than 20% of their total work potential during the past year.
More about this variablePercentage of total population at-risk-of-poverty rate by NUTS 2 regions. The persons with an equivalised disposable income below the risk-of-poverty threshold, which is set at 60 % of the national median equivalised disposable income (after social transfers).
More about this variableFemale R&D employees in business enterprise sector, full-time equivalent. R&D personnel in a statistical unit include all persons engaged directly in R&D, whether employed by the statistical unit or external contributors fully integrated into the statistical unit`s R&D activities, as well as those providing direct services for the R&D activities (such as R&D managers, administrators, technicians and clerical straff). Persons providing indirect support and ancillary services, such as canteen, maintenance, administrative and security staff, has been excluded, even though their wages and salaries are included in “other current costs” when measuring R&D expenditure. Further information on the concepts and definitions used for the production of R&D statistics can be found in Frascati Manual (OECD 2015).
More about this variableTotal R&D employees in business enterprise sector, full-time equivalent. R&D personnel in a statistical unit include all persons engaged directly in R&D, whether employed by the statistical unit or external contributors fully integrated into the statistical unit`s R&D activities, as well as those providing direct services for the R&D activities (such as R&D managers, administrators, technicians and clerical straff). Persons providing indirect support and ancillary services, such as canteen, maintenance, administrative and security staff, has been excluded, even though their wages and salaries are included in “other current costs” when measuring R&D expenditure. Further information on the concepts and definitions used for the production of R&D statistics can be found in Frascati Manual (OECD 2015).
More about this variableFemale R&D employees in government sector, full-time equivalent. R&D personnel in a statistical unit include all persons engaged directly in R&D, whether employed by the statistical unit or external contributors fully integrated into the statistical unit`s R&D activities, as well as those providing direct services for the R&D activities (such as R&D managers, administrators, technicians and clerical straff). Persons providing indirect support and ancillary services, such as canteen, maintenance, administrative and security staff, has been excluded, even though their wages and salaries are included in “other current costs” when measuring R&D expenditure. Further information on the concepts and definitions used for the production of R&D statistics can be found in Frascati Manual (OECD 2015).
More about this variableTotal R&D employees in government sector, full-time equivalent. R&D personnel in a statistical unit include all persons engaged directly in R&D, whether employed by the statistical unit or external contributors fully integrated into the statistical unit`s R&D activities, as well as those providing direct services for the R&D activities (such as R&D managers, administrators, technicians and clerical straff). Persons providing indirect support and ancillary services, such as canteen, maintenance, administrative and security staff, has been excluded, even though their wages and salaries are included in “other current costs” when measuring R&D expenditure. Further information on the concepts and definitions used for the production of R&D statistics can be found in Frascati Manual (OECD 2015).
More about this variableFemale R&D employees in higher education sector, full-time equivalent. R&D personnel in a statistical unit include all persons engaged directly in R&D, whether employed by the statistical unit or external contributors fully integrated into the statistical unit`s R&D activities, as well as those providing direct services for the R&D activities (such as R&D managers, administrators, technicians and clerical straff). Persons providing indirect support and ancillary services, such as canteen, maintenance, administrative and security staff, has been excluded, even though their wages and salaries are included in “other current costs” when measuring R&D expenditure. Further information on the concepts and definitions used for the production of R&D statistics can be found in Frascati Manual (OECD 2015).
More about this variableTotal R&D employees in higher education sector, full-time equivalent. R&D personnel in a statistical unit include all persons engaged directly in R&D, whether employed by the statistical unit or external contributors fully integrated into the statistical unit`s R&D activities, as well as those providing direct services for the R&D activities (such as R&D managers, administrators, technicians and clerical straff). Persons providing indirect support and ancillary services, such as canteen, maintenance, administrative and security staff, has been excluded, even though their wages and salaries are included in “other current costs” when measuring R&D expenditure. Further information on the concepts and definitions used for the production of R&D statistics can be found in Frascati Manual (OECD 2015).
More about this variableFemale R&D employees in private non-profit sector, full-time equivalent. R&D personnel in a statistical unit include all persons engaged directly in R&D, whether employed by the statistical unit or external contributors fully integrated into the statistical unit`s R&D activities, as well as those providing direct services for the R&D activities (such as R&D managers, administrators, technicians and clerical straff). Persons providing indirect support and ancillary services, such as canteen, maintenance, administrative and security staff, has been excluded, even though their wages and salaries are included in “other current costs” when measuring R&D expenditure. Further information on the concepts and definitions used for the production of R&D statistics can be found in Frascati Manual (OECD 2015).
More about this variableTotal R&D employees in private non-profit sector, full-time equivalent. R&D personnel in a statistical unit include all persons engaged directly in R&D, whether employed by the statistical unit or external contributors fully integrated into the statistical unit`s R&D activities, as well as those providing direct services for the R&D activities (such as R&D managers, administrators, technicians and clerical straff). Persons providing indirect support and ancillary services, such as canteen, maintenance, administrative and security staff, has been excluded, even though their wages and salaries are included in “other current costs” when measuring R&D expenditure. Further information on the concepts and definitions used for the production of R&D statistics can be found in Frascati Manual (OECD 2015).
More about this variableFemale R&D employees in all sectors, full-time equivalent. R&D personnel in a statistical unit include all persons engaged directly in R&D, whether employed by the statistical unit or external contributors fully integrated into the statistical unit`s R&D activities, as well as those providing direct services for the R&D activities (such as R&D managers, administrators, technicians and clerical straff). Persons providing indirect support and ancillary services, such as canteen, maintenance, administrative and security staff, has been excluded, even though their wages and salaries are included in “other current costs” when measuring R&D expenditure. Further information on the concepts and definitions used for the production of R&D statistics can be found in Frascati Manual (OECD 2015).
More about this variableTotal R&D employees in all sectors, full-time equivalent. R&D personnel in a statistical unit include all persons engaged directly in R&D, whether employed by the statistical unit or external contributors fully integrated into the statistical unit`s R&D activities, as well as those providing direct services for the R&D activities (such as R&D managers, administrators, technicians and clerical straff). Persons providing indirect support and ancillary services, such as canteen, maintenance, administrative and security staff, has been excluded, even though their wages and salaries are included in “other current costs” when measuring R&D expenditure. Further information on the concepts and definitions used for the production of R&D statistics can be found in Frascati Manual (OECD 2015).
More about this variableInjured victims in road accidents, per million inhabitants. It includes any person who as result of an injury accident was not killed immediately or not dying within 30 days, but sustained an injury, normally needing medical treatment, excluding attempted suicides. Persons with lesser wounds, such as minor cuts and bruises are not normally recorded as injured. An injured person is excluded if the competent authority declares the cause of the injury to be attempted suicide by that person, i.e. a deliberate act to injure oneself resulting in injury, but not in death.
More about this variableKilled victims in road accidents, per million inhabitants. It includes any person killed immediately or dying within 30 days as a result of an injury accident, excluding suicides. A killed person is excluded if the competent authority declares the cause of death to be suicide, i.e. a deliberate act to injure oneself resulting in death. For countries that do not apply the threshold of 30 days, conversion coefficients are estimated so that comparisons on the basis of the 30 day-definition can be made.
More about this variableBusiness enterprise sector intramural expenditure in R&D, euro per inhabitant. Intramural R&D expenditures are all current expenditures plus gross fixed expenditure for R&D performed within a statistical unit during a specific period, whatever the source of funds. Further information on the concepts and definitions used for the production of R&D statistics can be found in Frascati Manual (OECD 2015).
More about this variableGovernment sector intramural expenditure in R&D, euro per inhabitant. Intramural R&D expenditures are all current expenditures plus gross fixed expenditure for R&D performed within a statistical unit during a specific period, whatever the source of funds. Further information on the concepts and definitions used for the production of R&D statistics can be found in Frascati Manual (OECD 2015).
More about this variableHigher education sector intramural expenditure in R&D, euro per inhabitant. Intramural R&D expenditures are all current expenditures plus gross fixed expenditure for R&D performed within a statistical unit during a specific period, whatever the source of funds. Further information on the concepts and definitions used for the production of R&D statistics can be found in Frascati Manual (OECD 2015).
More about this variablePrivate non-profit sector intramural expenditure in R&D, euro per inhabitant. Intramural R&D expenditures are all current expenditures plus gross fixed expenditure for R&D performed within a statistical unit during a specific period, whatever the source of funds. Further information on the concepts and definitions used for the production of R&D statistics can be found in Frascati Manual (OECD 2015).
More about this variableAll sectors intramural expenditure in R&D, euro per inhabitant. Intramural R&D expenditures are all current expenditures plus gross fixed expenditure for R&D performed within a statistical unit during a specific period, whatever the source of funds. Further information on the concepts and definitions used for the production of R&D statistics can be found in Frascati Manual (OECD 2015).
More about this variableResearchers in all sectors as percentage of total employment - full-time equivalent (female)
More about this variableResearchers in all sectors as percentage of total employment - full-time equivalent (total)
More about this variableResearchers in Business Sector as percentage of total employment - full-time equivalent (female)
More about this variableResearchers in Business Sector as percentage of total employment - full-time equivalent (total)
More about this variableResearchers in Higher Education as percentage of total employment - full-time equivalent (female)
More about this variableResearchers in Higher Education as percentage of total employment - full-time equivalent (total)
More about this variableResearchers in Government as percentage of total employment - full-time equivalent (female)
More about this variableResearchers in Government as percentage of total employment - full-time equivalent (total)
More about this variableResearchers in Non-profits as percentage of total employment - full-time equivalent (female)
More about this variableResearchers in Non-profits as percentage of total employment - full-time equivalent (total)
More about this variableReal growth rate of regional gross value added (GVA) at basic prices by NUTS 2 regions, percentage change on previous year. GVA is an indicator of the economic activity of a country or a region. It reflects the total value of all goods and services produced less the value of goods and services used for intermediate consumption in their production. Several years ago Eurostat has started to collect real growth rates of regional GVA at NUTS level 2 from those Member States which calculate this already. The indicator is part of the ESA 2010 data transmission programme, but the transmission will be obligatory only as from the end of 2017.
More about this variableEmployment in Agriculture, Forestry, Fishing, Mining, Quarrying (Female) % total employment
More about this variableEmployment in Agriculture, Forestry, Fishing, Mining, Quarrying (Male) % total employment
More about this variableEmployment in Agriculture, Forestry, Fishing, Mining, Quarrying (Female and male) % total employment
More about this variableEmployment in Manufacturing (Female) % total employment
More about this variableEmployment in Manufacturing (Male) % total employment
More about this variableEmployment in Manufacturing (Female and male) % total employment
More about this variableEmployment in high-tech manufacturing (Female) % total employment
More about this variableEmployment in high-tech manufacturing (Male) % total employment
More about this variableEmployment in Medium high-tech manufacturing (Female) % total employment
More about this variableEmployment in High and medium high-tech manufacturing (Female) % total employment
More about this variableEmployment in High and medium high-tech manufacturing (Male) % total employment
More about this variableEmployment in High and medium high-tech manufacturing (Female and male) % total employment
More about this variableEmployment in Medium high-tech manufacturing (Male) % total employment
More about this variableEmployment in Medium high-tech manufacturing (Female and male) % total employment
More about this variableEmployment in high-tech manufacturing (Female and male) % total employment
More about this variableEmployment in Low-technology manufacturing (Female) % total employment
More about this variableEmployment in Low and medium low-tech manufacturing (Female) % total employment
More about this variableEmployment in Low and medium low-technology manufacturing (Male) % total employment
More about this variableEmployment in Low and medium low-technology manufacturing (Female and male) % total employment
More about this variableEmployment in Low-technology manufacturing (Male) % total employment
More about this variableEmployment in Medium low-technology manufacturing (Female) % total employment
More about this variableEmployment in Medium low-technology manufacturing (Male) % total employment
More about this variableEmployment in Medium low-technology manufacturing (Female and male) % total employment
More about this variableEmployment in Low-technology manufacturing (Female and male) % total employment
More about this variableEmployment in Electricity, Gas, Steam, Air conditioning supply (Female) % total employment
More about this variableEmployment in Electricity, Gas, Steam, Air conditioning supply (Male) % total employment
More about this variableEmployment in Electricity, Gas, Steam, Air conditioning supply (Female and male) % total employment
More about this variableEmployment in Wholesale, Retail trade, Food service activities (Female) % total employment
More about this variableEmployment in Wholesale, Retail trade, Food service activities (Male) % total employment
More about this variableEmployment in Wholesale, Retail trade, Food service activities (Female and male) % total employment
More about this variableEmployment in Services (Female) % total employment
More about this variableEmployment in Services (Male) % total employment
More about this variableEmployment in Services (Female and male) % total employment
More about this variableEmployment in Land, Water, Air transport, Warehouse (Female) % total employment
More about this variableEmployment in Land, Water, Air transport, Warehouse (Male) % total employment
More about this variableEmployment in Land, Water, Air transport, Warehouse (Female and male) % total employment
More about this variableEmployment in high-tech sectors (Female) % total employment
More about this variableEmployment in high-tech sectors (Male) % total employment
More about this variableEmployment in high-tech sectors (Female and male) % total employment
More about this variableEmployment in Information and communication (Female) % total employment
More about this variableEmployment in Information and communication (Male) % total employment
More about this variableEmployment in Information and communication (Female and male) % total employment
More about this variableEmployment in Financial and insurance activities (Female) % total employment
More about this variableEmployment in Knowledge-intensive services (Female) % total employment
More about this variableEmployment in Knowledge-intensive high-tech services (Female) % total employment
More about this variableEmployment in Knowledge-intensive high-tech services (Male) % total employment
More about this variableEmployment in Knowledge-intensive high-tech services (Female and male) % total employment
More about this variableEmployment in Knowledge-intensive services (Male) % total employment
More about this variableEmployment in Knowledge-intensive market services (Female) % total employment
More about this variableEmployment in Knowledge-intensive market services (Male) % total employment
More about this variableEmployment in Knowledge-intensive market services (Female and male) % total employment
More about this variableEmployment in Other knowledge-intensive services (Female) % total employment
More about this variableEmployment in Other knowledge-intensive services (Male) % total employment
More about this variableEmployment in Other knowledge-intensive services (Total) % total employment
More about this variableEmployment in Knowledge-intensive services (Female and male) % total employment
More about this variableEmployment in Financial and insurance activities (Male) % total employment
More about this variableEmployment in Financial and insurance activities (Female and male) % total employment
More about this variableEmployment in Less knowledge-intensive services (Female) % total employment
More about this variableEmployment in Less knowledge-intensive services (Male) % total employment
More about this variableEmployment in Less knowledge-intensive market services (Female) % total employment
More about this variableEmployment in Less knowledge-intensive market services (Male) % total employment
More about this variableEmployment in Less knowledge-intensive market services (Female and male) % total employment
More about this variableEmployment in Other less knowledge-intensive services (Female) % total employment
More about this variableEmployment in Other less knowledge-intensive services (Male) % total employment
More about this variableEmployment in Other less knowledge-intensive services (Female and male) % total employment
More about this variableEmployment in Less knowledge-intensive services (Female and male) % total employment
More about this variableEmployment in Professional, scientific and tech activities (Female) % total employment
More about this variableEmployment in Professional, scientific and tech activities (Male) % total employment
More about this variableEmployment in Professional, scientific and tech activities (Female and male) % total employment
More about this variableEmployment in Administrative and support service activities (Female) % total employment
More about this variableEmployment in Administrative and support service activities (Male) % total employment
More about this variableEmployment in Administrative and support service activities (Female and male) % total employment
More about this variableEmployment in Public administration; activities of extraterritorial organisations and bodies (Female) % total employment
More about this variableEmployment in Public administration; activities of extraterritorial organisations and bodies (Male) % total employment
More about this variableEmployment in Public administration; activities of extraterritorial organisations and bodies (Female and male) % total employment
More about this variableEmployment in Education (Female) % total employment
More about this variableEmployment in Education (Male) % total employment
More about this variablePatent applications to the EPO, Purchasing Power Standard per inhabitant
More about this variableEmployment in Education (Female and male) % total employment
More about this variableEmployment in Human health and social work activities (Female) % total employment
More about this variableEmployment in Human health and social work activities (Male) % total employment
More about this variableEmployment in Human health and social work activities (Female and male) % total employment
More about this variableEmployment in Arts, entertainment and recreation (Female) % total employment
More about this variableEmployment in Arts, entertainment and recreation (Male) % total employment
More about this variableEmployment in Arts, entertainment and recreation (Female and male) % total employment
More about this variablePatent applications to the EPO, Per million inhabitants
More about this variableEmployment in Other service activities (Female) % total employment
More about this variableEmployment in Other service activities (Male) % total employment
More about this variableEmployment in Other service activities (Female and male) % total employment
More about this variablePatent applications to the EPO, number
More about this variableMean age of women at birth of first child. It is calculated as the mean age of women when their first children are born.
More about this variableNet occupancy rate of bed-places in hotels and similar. The occupancy rate of bed-places in reference period is obtained by dividing the total number of overnight stays by the number of the bed-places on offer (excluding extra beds) and the number of days when the bed-places are actually available for use (net of seasonal closures and other temporary closures for decoration, by police order, etc.). The result is multiplied by 100 to express the occupancy rate as a percentage. From reference period 2012 onwards, tourism occupancy statistics consist of harmonised data collected by the Member States in the frame of the Regulation (EU) 692/2011 of the European Parliament and of the Council. Up to reference period 2011, tourism occupancy statistics consist of harmonised data collected by the Member States in the frame of the Council Directive on tourism statistics 95/57/EC .
More about this variableNet occupancy rate of bedrooms in hotels and similar. The net occupancy rate of bedrooms in reference period is obtained by dividing the total number of bedrooms used during the reference period (i.e. the sum of the bedrooms in use per day) by the total number of bedrooms available for the reference period (i.e. the sum of bedrooms available per day). The result is multiplied by 100 to express the occupancy rate as a percentage. From reference period 2012 onwards, tourism occupancy statistics consist of harmonised data collected by the Member States in the frame of the Regulation (EU) 692/2011 of the European Parliament and of the Council. Up to reference period 2011, tourism occupancy statistics consist of harmonised data collected by the Member States in the frame of the Council Directive on tourism statistics 95/57/EC .
More about this variableNumber of nights spent at camping grounds, recreational vehicle parks and trailer parks. A night spent (or overnight stay) is each night a guest / tourist (resident or non-resident) actually spends (sleeps or stays) in a tourist accommodation establishment or non-rented accommodation. Normally the date of arrival is different from the date of departure but persons arriving after midnight and leaving on the same day are included in overnight stays. A person should not be registered in two or more accommodation establishments at the same time. From reference period 2012 onwards, tourism occupancy statistics consist of harmonised data collected by the Member States in the frame of the Regulation (EU) 692/2011 of the European Parliament and of the Council. Up to reference period 2011, tourism occupancy statistics consist of harmonised data collected by the Member States in the frame of the Council Directive on tourism statistics 95/57/EC .
More about this variableNumber of nights spent at hotels and similar accommodations. A night spent (or overnight stay) is each night a guest / tourist (resident or non-resident) actually spends (sleeps or stays) in a tourist accommodation establishment or non-rented accommodation. Normally the date of arrival is different from the date of departure but persons arriving after midnight and leaving on the same day are included in overnight stays. A person should not be registered in two or more accommodation establishments at the same time. From reference period 2012 onwards, tourism occupancy statistics consist of harmonised data collected by the Member States in the frame of the Regulation (EU) 692/2011 of the European Parliament and of the Council. Up to reference period 2011, tourism occupancy statistics consist of harmonised data collected by the Member States in the frame of the Council Directive on tourism statistics 95/57/EC .
More about this variableNumber of nights spent at holiday and other short-stay accommodation. A night spent (or overnight stay) is each night a guest / tourist (resident or non-resident) actually spends (sleeps or stays) in a tourist accommodation establishment or non-rented accommodation. Normally the date of arrival is different from the date of departure but persons arriving after midnight and leaving on the same day are included in overnight stays. A person should not be registered in two or more accommodation establishments at the same time. From reference period 2012 onwards, tourism occupancy statistics consist of harmonised data collected by the Member States in the frame of the Regulation (EU) 692/2011 of the European Parliament and of the Council. Up to reference period 2011, tourism occupancy statistics consist of harmonised data collected by the Member States in the frame of the Council Directive on tourism statistics 95/57/EC .
More about this variableNumber of nights spent at tourist accommodations. A night spent (or overnight stay) is each night a guest / tourist (resident or non-resident) actually spends (sleeps or stays) in a tourist accommodation establishment or non-rented accommodation. Normally the date of arrival is different from the date of departure but persons arriving after midnight and leaving on the same day are included in overnight stays. A person should not be registered in two or more accommodation establishments at the same time. From reference period 2012 onwards, tourism occupancy statistics consist of harmonised data collected by the Member States in the frame of the Regulation (EU) 692/2011 of the European Parliament and of the Council. Up to reference period 2011, tourism occupancy statistics consist of harmonised data collected by the Member States in the frame of the Council Directive on tourism statistics 95/57/EC .
More about this variableNumber of bed-places in hotels, camping places and other. The number of bed-places in an establishment or dwelling is determined by the number of persons who can stay overnight in the beds set up in the establishment (dwelling), ignoring any extra beds that may be set up by customer request. The term bed place applies to a single bed, double beds are counted as two bed-places. The unit serves to measure the capacity of any type of accommodation. A bed place is also a place on a pitch or in a boat on a mooring to accommodate one person. One camping pitch should equal four bed-places if the actual number of bed-places is not known.
More about this variableNumber of establishments in hotels, camping places and other. A tourist accommodation establishment is defined as any facility that regularly or occasionally provides short-term accommodation for tourists as a paid service (although the price might be partially or fully subsidised). Data is reported at the level of a local kind-of-activity unit. The local unit is an enterprise or part thereof situated in a geographically identified place. At or from this place economic activity is carried out for which - save for certain exceptions - one or more persons work (even if only part-time) for one and the same enterprise. The accommodation establishment conforms to the definition of local unit as the production unit. This is irrespective of whether the accommodation of tourists is the main or secondary activity. This means that all establishments are classified in the accommodation sector if their capacity exceeds the national minimum even if the major part of turnover may come from restaurant or other services.
More about this variableNavigable canals in the country in kilometres
More about this variableMaritime transport in a country defined as transport for both freight loaded and unloaded in 1000's tonnes
More about this variableInland waterways transportation in the country in thousand tonnes
More about this variableAir transport in a country defined as transport for both freight and mail loaded and unloaded (tonnes)
More about this variableMotorways in the country in kilometres
More about this variableNavigable canal and waterway built primarily for navigation in the country in kilometers
More about this variableMotorway / freeway – road, specially designed and built for motor traffic, which does not serve properties bordering on it, and which: i) is provided, except at special points or temporarily, with separate carriageways for traffic in two directions, separated from each other, either by a dividing strip not intended for traffic, or exceptionally by other means; ii) has no crossings at the same level with any road, railway or tramway track, or footpath; and iii) is especially sign-posted as a motorway and is reserved for specific categories of road motor vehicles. The variable is presented in kilometers.
More about this variableOther roads, in kilometers.
More about this variableNavigable river – natural waterway open for navigation, irrespective of whether it has been improved for that purpose.
More about this variableRailway line – line of communication made up by rail exclusively for the use of railway vehicles. Line of communication is an area equipped for the performance of rail transport.
More about this variableElectrified railway lines in kilometers.
More about this variableRailway lines with double and more tracks in kilometers.
More about this variableOther roads that are not primary motorways in the country in kilometres
More about this variableNavigable rivers in the country in kilometres
More about this variableElectrified railway lines in the country in kilometres
More about this variableTotal railway lines in the country in kilometres
More about this variableRailway lines with double and more tracks in the country in kilometres
More about this variableUnemployment rate for women between 15-24 years old. Unemployed persons comprise persons who fulfil all the three following conditions: - are without work during the reference week; - are available to start work within the next two weeks; - have been actively seeking work in the past four weeks or have already found a job to start within the next three months. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO).
More about this variableUnemployment rate for men between 15-24 years old. Unemployed persons comprise persons who fulfil all the three following conditions: - are without work during the reference week; - are available to start work within the next two weeks; - have been actively seeking work in the past four weeks or have already found a job to start within the next three months. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO).
More about this variableTotal unemployment rate for 15-24 years old. Unemployed persons comprise persons who fulfil all the three following conditions: - are without work during the reference week; - are available to start work within the next two weeks; - have been actively seeking work in the past four weeks or have already found a job to start within the next three months. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO).
More about this variableUnemployment rate for women between 15-74 years old. Unemployed persons comprise persons who fulfil all the three following conditions: - are without work during the reference week; - are available to start work within the next two weeks; - have been actively seeking work in the past four weeks or have already found a job to start within the next three months. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO).
More about this variableUnemployment rate for men between 15-74 years old. Unemployed persons comprise persons who fulfil all the three following conditions: - are without work during the reference week; - are available to start work within the next two weeks; - have been actively seeking work in the past four weeks or have already found a job to start within the next three months. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO).
More about this variableTotal unemployment rate for 15-74 years old. Unemployed persons comprise persons who fulfil all the three following conditions: - are without work during the reference week; - are available to start work within the next two weeks; - have been actively seeking work in the past four weeks or have already found a job to start within the next three months. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO).
More about this variableUnemployment rate for women between 20-64 years old. Unemployed persons comprise persons who fulfil all the three following conditions: - are without work during the reference week; - are available to start work within the next two weeks; - have been actively seeking work in the past four weeks or have already found a job to start within the next three months. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO).
More about this variableUnemployment rate for men between 20-64 years old. Unemployed persons comprise persons who fulfil all the three following conditions: - are without work during the reference week; - are available to start work within the next two weeks; - have been actively seeking work in the past four weeks or have already found a job to start within the next three months. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO).
More about this variableTotal unemployment rate for 20-64 years old. Unemployed persons comprise persons who fulfil all the three following conditions: - are without work during the reference week; - are available to start work within the next two weeks; - have been actively seeking work in the past four weeks or have already found a job to start within the next three months. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO).
More about this variableUnemployment rate for women aged 15 years and over. Unemployed persons comprise persons who fulfil all the three following conditions: - are without work during the reference week; - are available to start work within the next two weeks; - have been actively seeking work in the past four weeks or have already found a job to start within the next three months. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO).
More about this variableUnemployment rate for men aged 15 years and over. Unemployed persons comprise persons who fulfil all the three following conditions: - are without work during the reference week; - are available to start work within the next two weeks; - have been actively seeking work in the past four weeks or have already found a job to start within the next three months. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO).
More about this variableTotal unemployment rate for people aged 15 years and over. Unemployed persons comprise persons who fulfil all the three following conditions: - are without work during the reference week; - are available to start work within the next two weeks; - have been actively seeking work in the past four weeks or have already found a job to start within the next three months. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO).
More about this variableUnemployment rate for women aged 25 years and over. Unemployed persons comprise persons who fulfil all the three following conditions: - are without work during the reference week; - are available to start work within the next two weeks; - have been actively seeking work in the past four weeks or have already found a job to start within the next three months. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO).
More about this variableUnemployment rate for men aged 25 years and over. Unemployed persons comprise persons who fulfil all the three following conditions: - are without work during the reference week; - are available to start work within the next two weeks; - have been actively seeking work in the past four weeks or have already found a job to start within the next three months. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO).
More about this variableTotal unemployment rate for people aged 25 years and over. Unemployed persons comprise persons who fulfil all the three following conditions: - are without work during the reference week; - are available to start work within the next two weeks; - have been actively seeking work in the past four weeks or have already found a job to start within the next three months. The source for the regional labour market information is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). The definitions of employment and unemployment, as well as other survey characteristics follow the definitions and recommendations of the International Labour Organisation (ILO).
More about this variableLong-term unemployment 25+ years, female (% of unemployment)
More about this variableLong-term unemployment 25+ years, male (% of unemployment)
More about this variableLong-term unemployment 25+ years, total (% of unemployment)
More about this variableUnemployment rates: 15 to 24 Years, Female (percentage of active population)
More about this variableUnemployment rates: 15 to 24 Years, Male (percentage of active population)
More about this variableUnemployment rates: 15 to 24 Years, Total (percentage of active population)
More about this variableUnemployment rates: 25-74 Years, Female (percentage of active population)
More about this variableUnemployment rates: 25-74 Years, Male (percentage of active population)
More about this variableUnemployment rates: 25-74 Years, Total (percentage of active population)
More about this variableUnemployment rates: 15 to 74 Years, Female (percentage of active population)
More about this variableUnemployment rates: 15 to 74 Years, Male (percentage of active population)
More about this variableUnemployment rates: 15 to 74 Years, Total (percentage of active population) for Female and Male population
More about this variableTotal number of motor coaches, buses and trolley buses. Motor coach is passenger road motor vehicle designed to seat 24 or more persons (including the driver) and constructed exclusively for the carriage of seated passengers. Bus is defined as passenger road motor vehicle designed to carry more than 24 persons (including the driver), and with provision to carry seated as well as standing passengers. Trolleybus is passenger road vehicle designed to seat more than nine persons (including the driver), which is connected to electric conductors and which is not rail-borne. This term covers vehicles which may be used either as trolleybuses or as buses, if they have a motor independent of the main electric power supply.
More about this variableTotal number of passenger cars. Passenger car is a road motor vehicle, other than a moped or a motor cycle, intended for the carriage of passengers and designed to seat no more than nine persons (including the driver). Included are: passenger cars, vans designed and used primarily for transport of passengers, taxis, hire cars, ambulances, motor homes. Excluded are light goods road vehicles, as well as motor-coaches and buses, and mini-buses/mini-coaches. "Passenger car" includes micro cars (needing no permit to be driven), taxis and passenger hire cars, provided that they have fewer than ten seats.
More about this variableTotal number of lorries. Lorry / truck is rigid road motor vehicle designed, exclusively or primarily, to carry goods.
More about this variableTotal number of motorcycles. Motorcycle is defined as two-, three- or four-wheeled road motor vehicle not exceeding 400 kg (900 lb) of unladen weight. All such vehicles with a cylinder capacity of 50 cc or over are included, as are those under 50 cc which do not meet the definition of moped.
More about this variableTotal number of special vehicles. Special purpose road motor vehicle is road motor vehicle designed for purposes other than the carriage of passengers or goods. This category includes: fire brigade vehicles, mobile cranes, self-propelled rollers, bulldozers with metallic wheels or track, vehicles for recording film, radio and TV broadcasting, mobile library vehicles, towing vehicles for vehicles in need of repair, other special purpose road motor vehicles.
More about this variableTotal number of all vehicles except trailers and motorcycles.
More about this variableTotal number of road tractors. Road tractor is road motor vehicle designed, exclusively or primarily, to haul other road vehicles which are not power-driven (mainly semi-trailers). Agricultural tractors are excluded.
More about this variableTotal number of trailers and semi-trailers. Trailer is goods road vehicle designed to be hauled by a road motor vehicle. This category excludes agricultural trailers and caravans. Semi-trailer describes goods road vehicle with no front axle designed in such way that part of the vehicle and a substantial part of its loaded weight rests on a road tractor.
More about this variableTotal number of total utility vehicles.
More about this variable