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TwitterData adjusted from the dataset of GEOSTAT, Eurostat http://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/population-distribution-demography/geostatGEOSTAT was launched at the beginning of 2010 by Eurostat in cooperation with the European Forum for GeoStatistics (EFGS) , to promote grid-based statistics and more generally to work towards the integration of statistical and geospatial information in a common information infrastructure for the EU. Its aim is to develop common guidelines for the collection and production of spatial- and grid-statistics within the European Statistical System
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TwitterAround ** percent of Europeans held an upper secondary school title in 2024. Figures ranged from ** percent of people residing in Czechia to only ** percent of Spaniards. About ********* of EU citizens had a primary school title only, while this was the case for ************** of the Turkish population. As far as tertiary education, ** percent of the Irish population held a bachelor's or higher degree, compared to only ** percent of those living in Bosnia and Herzegovina.
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School age population, upper secondary education, both sexes (number) in European Union was reported at 18531680 Persons in 2019, according to the World Bank collection of development indicators, compiled from officially recognized sources. European Union - Population of the official age for upper secondary education, both sexes - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.
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School age population, lower secondary education, male (number) in European Union was reported at 10195176 Persons in 2019, according to the World Bank collection of development indicators, compiled from officially recognized sources. European Union - Population of the official age for lower secondary education, male - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.
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School age population, secondary education, both sexes (number) in European Union was reported at 38365976 Persons in 2019, according to the World Bank collection of development indicators, compiled from officially recognized sources. European Union - Population of the official age for secondary education, both sexes - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.
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List of Top Schools of European Journal of Population sorted by citations.
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Twitter******* was the European country with the highest share of graduates in 2024, with almost **** of those aged between 15 and 64 having a degree. On the contrary, only ** percent of the population aged 15 to 64 in ********************** hold a tertiary education title.
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This domain covers statistics and indicators on key aspects of the education systems across Europe. The data show entrants and enrolments in education levels, education personnel and the cost and type of resources dedicated to education.
For a general technical description of the UOE Data Collection see UNESCO OECD Eurostat (UOE) joint data collection – methodology - Statistics Explained (europa.eu).
The standards on international statistics on education and training systems are set by the three international organisations jointly administering the annual UOE data collection:
The following topics are covered:
Data on enrolments in education are disseminated in absolute numbers, with breakdowns available for the following dimensions:
Additionally, the following types of indicators on enrolments are calculated (all indicators using population data use Eurostat’s population database (demo_pjan)):
Data on entrants in education are disseminated in absolute numbers, with breakdowns available for the following dimensions:
Additionally the following indicator on entrants is calculated:
Data on learning mobility is available for degree mobile students, degree mobile graduates and credit mobile graduates. Degree mobility means that students/graduates are/were enrolled as regular students in any semester/term of a programme taught in the country of destination with the intention of graduating from it in the country of destination. Credit mobility is defined as temporary tertiary education or/and study-related traineeship abroad within the framework of enrolment in a tertiary education programme at a "home institution" (usually) for the purpose of gaining academic credit (i.e. credit that will be recognised in that home institution). Further definitions are in Section 2.8 of the UOE manual.
Degree mobile students are referred to as just ‘mobile students’ in UOE learning mobility tables. Data is disseminated for degree mobile students and degree mobile graduates in absolute numbers with breakdowns available for the following dimensions:
Additionally the following types of indicators on degree mobile students and degree mobile graduates are calculated ((all indicators using population data use Eurostat’s population database (demo_pjan)):
For credit mobile graduates, data are disseminated in absolute numbers, with breakdowns available for the following dimensions:
Data on personnel in education are available for classroom teachers/academic staff, teacher aides and school-management personnel. Teachers are employed in a professional capacity to guide and direct the learning experiences of students, irrespective of their training, qualifications or delivery mechanism. Teacher aides support teachers in providing instruction to students. Academic staff are personnel employed at the tertiary level of education whose primary assignment is instruction and/or research. School management personnel covers professional personnel who are responsible for school management/administration (ISCED 0-4) or whose primary or major responsibility is the management of the institution, or a recognised department or subdivision of the institution (tertiary levels). Full definitions of these statistical units are in Section 3.5 of the UOE manual.
Data are disseminated on teachers and academic staff in absolute numbers, with breakdowns available for the following dimensions:
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School age population, lower secondary education, female (number) in European Union was reported at 9639120 Persons in 2019, according to the World Bank collection of development indicators, compiled from officially recognized sources. European Union - Population of the official age for lower secondary education, female - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.
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TwitterNUTS 1: major socio-economic regions NUTS 2: basic regions for the application of regional policies NUTS 3: small regions for specific diagnoses
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Early school leavers refer to the percentage of persons aged 18-24 who achieved secondary education or less (ISCED <= 2) and are not pursuing further education or training.
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This domain covers statistics and indicators on key aspects of the education systems across Europe. The data show entrants and enrolments in education levels, education personnel and the cost and type of resources dedicated to education.
For a general technical description of the UOE Data Collection see UNESCO OECD Eurostat (UOE) joint data collection – methodology - Statistics Explained (europa.eu).
The standards on international statistics on education and training systems are set by the three international organisations jointly administering the annual UOE data collection:
The following topics are covered:
Data on enrolments in education are disseminated in absolute numbers, with breakdowns available for the following dimensions:
Additionally, the following types of indicators on enrolments are calculated (all indicators using population data use Eurostat’s population database (demo_pjan)):
Data on entrants in education are disseminated in absolute numbers, with breakdowns available for the following dimensions:
Additionally the following indicator on entrants is calculated:
Data on learning mobility is available for degree mobile students, degree mobile graduates and credit mobile graduates. Degree mobility means that students/graduates are/were enrolled as regular students in any semester/term of a programme taught in the country of destination with the intention of graduating from it in the country of destination. Credit mobility is defined as temporary tertiary education or/and study-related traineeship abroad within the framework of enrolment in a tertiary education programme at a "home institution" (usually) for the purpose of gaining academic credit (i.e. credit that will be recognised in that home institution). Further definitions are in Section 2.8 of the UOE manual.
Degree mobile students are referred to as just ‘mobile students’ in UOE learning mobility tables. Data is disseminated for degree mobile students and degree mobile graduates in absolute numbers with breakdowns available for the following dimensions:
Additionally the following types of indicators on degree mobile students and degree mobile graduates are calculated ((all indicators using population data use Eurostat’s population database (demo_pjan)):
For credit mobile graduates, data are disseminated in absolute numbers, with breakdowns available for the following dimensions:
Data on personnel in education are available for classroom teachers/academic staff, teacher aides and school-management personnel. Teachers are employed in a professional capacity to guide and direct the learning experiences of students, irrespective of their training, qualifications or delivery mechanism. Teacher aides support teachers in providing instruction to students. Academic staff are personnel employed at the tertiary level of education whose primary assignment is instruction and/or research. School management personnel covers professional personnel who are responsible for school management/administration (ISCED 0-4) or whose primary or major responsibility is the management of the institution, or a recognised department or subdivision of the institution (tertiary levels). Full definitions of these statistical units are in Section 3.5 of the UOE manual.
Data are disseminated on teachers and academic staff in absolute numbers, with breakdowns available for the following dimensions:
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Pre-primary and primary education in Europe is compulsory for most children and keeping education standards high is a priority for most governments. With a large emphasis on ensuring all children have access to education, the sector is influenced by population demographics, government funding and educational reforms. Demand for pre-primary and primary education closely matches the population of children from three to 11 in each country due to compulsory schooling laws. Enrolments have increased due to greater recognition of the importance of early childhood education. In France, for example, they reduced the compulsory education age from six to three in 2018, signalling its growing importance. Revenue in the industry has declined at a compound annual rate of 1.3% over the five years through 2025 to €309 billion, increasing by 0.2% in 2025. All countries have been challenged by teacher shortages and balancing private and public education provision. Despite these challenges, the industry benefits consistently from stable government funding and the prioritisation of education.Revenue in the pre-primary and primary education industry is anticipated to grow at a compound annual rate of 2.3% to €346.5 billion over the five years through 2030. There will be efforts to tackle teacher shortages through salary increases and more career flexibility in countries like Croatia, Hungary, France and Italy. Significant investment is available through the Recovery and Resilience Facility and Cohesion Policy, which points towards future advancements in quality and education infrastructure. Policies are targeting enhancing teaching quality and reducing class sizes.
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School age population, upper secondary education, female (number) in European Union was reported at 9005805 Persons in 2019, according to the World Bank collection of development indicators, compiled from officially recognized sources. European Union - Population of the official age for upper secondary education, female - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.
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Demographic characteristics of students in the study sample, overall percentages, and percentages by mode.
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The operation on Structural Indicators takes on several objectives.The first and overall objective lies in achieving, with the highest possible quality, the production of a series of basic or context indicators that serve, or may serve, as a reference.The second objective is to achieve methodological homogeneity and precision in calculation in relation to other international systems of indicators ¿and especially those defined by Eurostat¿ to create and recreate series that add the time perspective.To design and implement dynamic file formats that allow for the organisation and access to all of the information.Ultimately, the specific objective of the operation focuses on the coordination, management, verification and archiving of the system of indicators.
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TwitterIn 2024, 44 percent of people in the European Union aged between 25 and 34 had a degree. For the population aged between 20 and 24 as a whole, the figure was 19.4 percent.
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TwitterOut-of-school rate in population of upper secondary school age, by sex
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The operation on Structural Indicators takes on several objectives.The first and overall objective lies in achieving, with the highest possible quality, the production of a series of basic or context indicators that serve, or may serve, as a reference.The second objective is to achieve methodological homogeneity and precision in calculation in relation to other international systems of indicators ¿and especially those defined by Eurostat¿ to create and recreate series that add the time perspective.To design and implement dynamic file formats that allow for the organisation and access to all of the information.Ultimately, the specific objective of the operation focuses on the coordination, management, verification and archiving of the system of indicators.
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The dataset contains the number of students aged between 6 and 19 by gender, age and school attendance. The enrollment in a regular course of study without specifying the type is recorded as frequency. The data was collected through the 15th general census of the population and housing, carried out by ISTAT in 2011, with the aim of counting the total population, houses and buildings in the area. In this census, for the first time, some socio-economic information was collected on a sample basis. School attendance is one of the information collected on a sample basis. For further information see www.istat.it This dataset was released by the Municipality of Milan.
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TwitterData adjusted from the dataset of GEOSTAT, Eurostat http://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/population-distribution-demography/geostatGEOSTAT was launched at the beginning of 2010 by Eurostat in cooperation with the European Forum for GeoStatistics (EFGS) , to promote grid-based statistics and more generally to work towards the integration of statistical and geospatial information in a common information infrastructure for the EU. Its aim is to develop common guidelines for the collection and production of spatial- and grid-statistics within the European Statistical System