There were 347,602 international students studying at the undergraduate level in the United States in the 2022/23 academic year. In that same year, there were 467,027 international graduate students studying in the country, and a further 43,766 non-degree seeking international students.

Colleges and universities in the United States are still a popular study destination for Chinese students, with around 277 thousand choosing to take courses there in the 2023/24 academic year. Although numbers were heavily affected by the coronavirus pandemic, China is still the leading source of international students in the U.S. education market, accounting for 24.6 percent of all incoming students. The education exodus Mathematics and computer science courses led the field in terms of what Chinese students were studying in the United States, followed by engineering and business & management programs. The vast majority of Chinese students were self-funded, wth the remainder receiving state-funding to complete their overseas studies. Tuition fees can run into the tens of thousands of U.S. dollars, as foreign students usually pay out-of-state tuition fees. What about the local situation? Although studying abroad attracts many Chinese students, the country itself boasts the largest state-run education system in the world. With modernization of the national tertiary education system being a top priority for the Chinese government, the country has seen a significant increase in the number of local universities over the last decade. Enrolments in these universities exceeded 37 million in 2023, and a record of more than ten million students graduated in the same year, indicating that China's education market is still expanding.

Abstract

EU-SILC has become the EU reference source for comparative statistics on income distribution and social exclusion at European level, particularly in the context of the "Program of Community action to encourage cooperation between Member States to combat social exclusion" and for producing structural indicators on social cohesion for the annual spring report to the European Council. The first priority is to be given to the delivery of comparable, timely and high quality cross-sectional data.

There are two types of datasets: 1) Cross-sectional data pertaining to fixed time periods, with variables on income, poverty, social exclusion and living conditions. 2) Longitudinal data pertaining to individual-level changes over time, observed periodically - usually over four years.

Social exclusion and housing-condition information is collected at household level. Income at a detailed component level is collected at personal level, with some components included in the "Household" section. Labour, education and health observations only apply to persons 16 and older. EU-SILC was established to provide data on structural indicators of social cohesion (at-risk-of-poverty rate, S80/S20 and gender pay gap) and to provide relevant data for the two 'open methods of coordination' in the field of social inclusion and pensions in Europe.

The 7th version of the 2008 Cross-Sectional User Database (UDB) as released in July 2015 is documented here.

Geographic coverage

The survey covers following countries: Austria, Belgium, Bulgaria, Czech Republic, Denmark, Germany, Estonia, Greece, Spain, France, Ireland, Italy, Cyprus, Latvia, Lithuania, Luxembourg, Hungary, Malta, Netherlands, Poland, Portugal, Romania, Slovenia, Slovakia, Finland, Sweden, United Kingdom, Iceland, Norway.

Small parts of the national territory amounting to no more than 2% of the national population and the national territories listed below may be excluded from EU-SILC: France - French Overseas Departments and territories; Netherlands - The West Frisian Islands with the exception of Texel; Ireland - All offshore islands with the exception of Achill, Bull, Cruit, Gorumna, Inishnee, Lettermore, Lettermullan and Valentia; United kingdom - Scotland north of the Caledonian Canal, the Scilly Islands.

Analysis unit

• Households;
• Individuals 16 years and older.

Universe

The survey covered all household members over 16 years old. Persons living in collective households and in institutions are generally excluded from the target population.

Kind of data

Sample survey data [ssd]

Sampling procedure

On the basis of various statistical and practical considerations and the precision requirements for the most critical variables, the minimum effective sample sizes to be achieved were defined. Sample size for the longitudinal component refers, for any pair of consecutive years, to the number of households successfully interviewed in the first year in which all or at least a majority of the household members aged 16 or over are successfully interviewed in both the years.

For the cross-sectional component, the plans are to achieve the minimum effective sample size of around 131.000 households in the EU as a whole (137.000 including Iceland and Norway). The allocation of the EU sample among countries represents a compromise between two objectives: the production of results at the level of individual countries, and production for the EU as a whole. Requirements for the longitudinal data will be less important. For this component, an effective sample size of around 98.000 households (103.000 including Iceland and Norway) is planned.

Member States using registers for income and other data may use a sample of persons (selected respondents) rather than a sample of complete households in the interview survey. The minimum effective sample size in terms of the number of persons aged 16 or over to be interviewed in detail is in this case taken as 75 % of the figures shown in columns 3 and 4 of the table I, for the cross-sectional and longitudinal components respectively.

The reference is to the effective sample size, which is the size required if the survey were based on simple random sampling (design effect in relation to the 'risk of poverty rate' variable = 1.0). The actual sample sizes will have to be larger to the extent that the design effects exceed 1.0 and to compensate for all kinds of non-response. Furthermore, the sample size refers to the number of valid households which are households for which, and for all members of which, all or nearly all the required information has been obtained. For countries with a sample of persons design, information on income and other data shall be collected for the household of each selected respondent and for all its members.

At the beginning, a cross-sectional representative sample of households is selected. It is divided into say 4 sub-samples, each by itself representative of the whole population and similar in structure to the whole sample. One sub-sample is purely cross-sectional and is not followed up after the first round. Respondents in the second sub-sample are requested to participate in the panel for 2 years, in the third sub-sample for 3 years, and in the fourth for 4 years. From year 2 onwards, one new panel is introduced each year, with request for participation for 4 years. In any one year, the sample consists of 4 sub-samples, which together constitute the cross-sectional sample. In year 1 they are all new samples; in all subsequent years, only one is new sample. In year 2, three are panels in the second year; in year 3, one is a panel in the second year and two in the third year; in subsequent years, one is a panel for the second year, one for the third year, and one for the fourth (final) year.

According to the Commission Regulation on sampling and tracing rules, the selection of the sample will be drawn according to the following requirements:

1. For all components of EU-SILC (whether survey or register based), the cross-sectional and longitudinal (initial sample) data shall be based on a nationally representative probability sample of the population residing in private households within the country, irrespective of language, nationality or legal residence status. All private households and all persons aged 16 and over within the household are eligible for the operation.
2. Representative probability samples shall be achieved both for households, which form the basic units of sampling, data collection and data analysis, and for individual persons in the target population.
3. The sampling frame and methods of sample selection shall ensure that every individual and household in the target population is assigned a known and non-zero probability of selection.
4. By way of exception, paragraphs 1 to 3 shall apply in Germany exclusively to the part of the sample based on probability sampling according to Article 8 of the Regulation of the European Parliament and of the Council (EC) No 1177/2003 concerning

Community Statistics on Income and Living Conditions. Article 8 of the EU-SILC Regulation of the European Parliament and of the Council mentions: 1. The cross-sectional and longitudinal data shall be based on nationally representative probability samples. 2. By way of exception to paragraph 1, Germany shall supply cross-sectional data based on a nationally representative probability sample for the first time for the year 2008. For the year 2005, Germany shall supply data for one fourth based on probability sampling and for three fourths based on quota samples, the latter to be progressively replaced by random selection so as to achieve fully representative probability sampling by 2008. For the longitudinal component, Germany shall supply for the year 2006 one third of longitudinal data (data for year 2005 and 2006) based on probability sampling and two thirds based on quota samples. For the year 2007, half of the longitudinal data relating to years 2005, 2006 and 2007 shall be based on probability sampling and half on quota sample. After 2007 all of the longitudinal data shall be based on probability sampling.

Detailed information about sampling is available in Quality Reports in Related Materials.

Mode of data collection

Mixed

This statistic depicts the number of international students in higher education across India in 2015, by region and study program. During this year, around 12.87 thousand undergraduate international students in higher education studying in the country came from Asia.

Abstract

In 2005, the EU-SILC instrument covered all EU Member States plus Iceland, Turkey, Norway, Switzerland and Croatia. EU-SILC has become the EU reference source for comparative statistics on income distribution and social exclusion at European level, particularly in the context of the "Program of Community action to encourage cooperation between Member States to combat social exclusion" and for producing structural indicators on social cohesion for the annual spring report to the European Council. The first priority is to be given to the delivery of comparable, timely and high quality cross-sectional data.

There are two types of datasets: 1) Cross-sectional data pertaining to fixed time periods, with variables on income, poverty, social exclusion and living conditions. 2) Longitudinal data pertaining to individual-level changes over time, observed periodically - usually over four years.

Social exclusion and housing-condition information is collected at household level. Income at a detailed component level is collected at personal level, with some components included in the "Household" section. Labor, education and health observations only apply to persons aged 16 and over. EU-SILC was established to provide data on structural indicators of social cohesion (at-risk-of-poverty rate, S80/S20 and gender pay gap) and to provide relevant data for the two 'open methods of coordination' in the field of social inclusion and pensions in Europe.

The fifth revision of the 2005 Cross-Sectional User Database is documented here.

Geographic coverage

National

Analysis unit

• Households;
• Individuals 16 years and older.

Universe

The survey covered all household members over 16 years old. Persons living in collective households and in institutions are generally excluded from the target population.

Kind of data

Sample survey data [ssd]

Sampling procedure

On the basis of various statistical and practical considerations and the precision requirements for the most critical variables, the minimum effective sample sizes to be achieved were defined. Sample size for the longitudinal component refers, for any pair of consecutive years, to the number of households successfully interviewed in the first year in which all or at least a majority of the household members aged 16 or over are successfully interviewed in both the years.

For the cross-sectional component, the plans are to achieve the minimum effective sample size of around 131.000 households in the EU as a whole (137.000 including Iceland and Norway). The allocation of the EU sample among countries represents a compromise between two objectives: the production of results at the level of individual countries, and production for the EU as a whole. Requirements for the longitudinal data will be less important. For this component, an effective sample size of around 98.000 households (103.000 including Iceland and Norway) is planned.

Member States using registers for income and other data may use a sample of persons (selected respondents) rather than a sample of complete households in the interview survey. The minimum effective sample size in terms of the number of persons aged 16 or over to be interviewed in detail is in this case taken as 75 % of the figures shown in columns 3 and 4 of the table I, for the cross-sectional and longitudinal components respectively.

The reference is to the effective sample size, which is the size required if the survey were based on simple random sampling (design effect in relation to the 'risk of poverty rate' variable = 1.0). The actual sample sizes will have to be larger to the extent that the design effects exceed 1.0 and to compensate for all kinds of non-response. Furthermore, the sample size refers to the number of valid households which are households for which, and for all members of which, all or nearly all the required information has been obtained. For countries with a sample of persons design, information on income and other data shall be collected for the household of each selected respondent and for all its members.

At the beginning, a cross-sectional representative sample of households is selected. It is divided into say 4 sub-samples, each by itself representative of the whole population and similar in structure to the whole sample. One sub-sample is purely cross-sectional and is not followed up after the first round. Respondents in the second sub-sample are requested to participate in the panel for 2 years, in the third sub-sample for 3 years, and in the fourth for 4 years. From year 2 onwards, one new panel is introduced each year, with request for participation for 4 years. In any one year, the sample consists of 4 sub-samples, which together constitute the cross-sectional sample. In year 1 they are all new samples; in all subsequent years, only one is new sample. In year 2, three are panels in the second year; in year 3, one is a panel in the second year and two in the third year; in subsequent years, one is a panel for the second year, one for the third year, and one for the fourth (final) year.

According to the Commission Regulation on sampling and tracing rules, the selection of the sample will be drawn according to the following requirements:

1. For all components of EU-SILC (whether survey or register based), the crosssectional and longitudinal (initial sample) data shall be based on a nationally representative probability sample of the population residing in private households within the country, irrespective of language, nationality or legal residence status. All private households and all persons aged 16 and over within the household are eligible for the operation.
2. Representative probability samples shall be achieved both for households, which form the basic units of sampling, data collection and data analysis, and for individual persons in the target population.
3. The sampling frame and methods of sample selection shall ensure that every individual and household in the target population is assigned a known and non-zero probability of selection.
4. By way of exception, paragraphs 1 to 3 shall apply in Germany exclusively to the part of the sample based on probability sampling according to Article 8 of the Regulation of the European Parliament and of the Council (EC) No 1177/2003 concerning

Community Statistics on Income and Living Conditions. Article 8 of the EU-SILC Regulation of the European Parliament and of the Council mentions: 1. The cross-sectional and longitudinal data shall be based on nationally representative probability samples. 2. By way of exception to paragraph 1, Germany shall supply cross-sectional data based on a nationally representative probability sample for the first time for the year 2008. For the year 2005, Germany shall supply data for one fourth based on probability sampling and for three fourths based on quota samples, the latter to be progressively replaced by random selection so as to achieve fully representative probability sampling by 2008. For the longitudinal component, Germany shall supply for the year 2006 one third of longitudinal data (data for year 2005 and 2006) based on probability sampling and two thirds based on quota samples. For the year 2007, half of the longitudinal data relating to years 2005, 2006 and 2007 shall be based on probability sampling and half on quota sample. After 2007 all of the longitudinal data shall be based on probability sampling.

Detailed information about sampling is available in Quality Reports in Documentation.

Mode of data collection

Mixed

This statistic shows the number of university students studying in other EU, EEA* and candidate countries from Malta from 2005 to 2012. The peak for this period was in 2011 and 2012 when 1.4 thousand students each left the country to study abroad at university.

This statistic shows the number of lower secondary school students in the European countries in 2016. During this year the highest numbers of lower secondary school students were registered in Turkey, where there were over 5 million of them in 2016.

Greece Exports: European Union: Croatia: Year to Date data was reported at 383,655,610.000 EUR in Dec 2024. This records an increase from the previous number of 368,173,896.000 EUR for Nov 2024. Greece Exports: European Union: Croatia: Year to Date data is updated monthly, averaging 177,651,474.000 EUR from Jan 2022 (Median) to Dec 2024, with 36 observations. The data reached an all-time high of 383,655,610.000 EUR in Dec 2024 and a record low of 11,897,150.000 EUR in Jan 2022. Greece Exports: European Union: Croatia: Year to Date data remains active status in CEIC and is reported by Hellenic Statistical Authority. The data is categorized under Global Database’s Greece – Table GR.JA003: Exports: by Country.

Abstract copyright UK Data Service and data collection copyright owner.

The European State Finance Database (ESFD) is an international collaborative research project for the collection of data in European fiscal history. There are no strict geographical or chronological boundaries to the collection, although data for this collection comprise the period between c.1200 to c.1815. The purpose of the ESFD was to establish a significant database of European financial and fiscal records. The data are drawn from the main extant sources of a number of European countries, as the evidence and the state of scholarship permit. The aim was to collect the data made available by scholars, whether drawing upon their published or unpublished archival research, or from other published material.
The ESFD project at the University of Leicester serves also to assist scholars working with the data by providing statistical manipulations of data and high quality graphical outputs for publication. The broad aim of the project was to act as a facilitator for a general methodological and statistical advance in the area of European fiscal history, with data capture and the interpretation of data in key publications as the measurable indicators of that advance. The data were originally deposited at the UK Data Archive in SAS transport format and as ASCII files; however, data files in this new edition have been saved as tab delimited files. Furthermore, this new edition features documentation in the form of a single file containing essential data file metadata, source details and notes of interest for particular files.

Main Topics:

The files in this dataset relate to the datafiles held in the Leicester database in the directory /korner/*.*.
File Information
g123eud1.* Total expenditure of Prussia, Sweden, Denmark and Russia, 1720-1808, expressed in metric tonnes of silver

Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research.

Belgium Number of Trips: 1 to 3 Nights: Non EU: Other European States data was reported at 7,000.000 Unit in 2014. This records a decrease from the previous number of 11,225.934 Unit for 2013. Belgium Number of Trips: 1 to 3 Nights: Non EU: Other European States data is updated yearly, averaging 18,363.000 Unit from Dec 2000 (Median) to 2014, with 15 observations. The data reached an all-time high of 67,055.080 Unit in 2009 and a record low of 6,427.000 Unit in 2006. Belgium Number of Trips: 1 to 3 Nights: Non EU: Other European States data remains active status in CEIC and is reported by Directorate-General Statistics - Statistics Belgium. The data is categorized under Global Database’s Belgium – Table BE.Q007: Number of Trips: by Duration and Purpose.

Hungary Imports: EUR: Year to Date: Mfg: EU 28: EU 15: Ireland data was reported at 71.484 EUR mn in Apr 2018. This records an increase from the previous number of 54.538 EUR mn for Mar 2018. Hungary Imports: EUR: Year to Date: Mfg: EU 28: EU 15: Ireland data is updated monthly, averaging 65.580 EUR mn from Jan 2003 (Median) to Apr 2018, with 184 observations. The data reached an all-time high of 245.796 EUR mn in Dec 2015 and a record low of 3.251 EUR mn in Jan 2003. Hungary Imports: EUR: Year to Date: Mfg: EU 28: EU 15: Ireland data remains active status in CEIC and is reported by Hungarian Central Statistical Office. The data is categorized under Global Database’s Hungary – Table HU.JA014: Imports: ytd: by Commodity and Country.

In light of the low availability of 116 services, and with a view to the enhanced requirements of the revised Universal Services Directive to raise awareness, in May 2011, the Commission carried out a Eurobarometer survey to assess the level of awareness in the Member States. The strong support expressed across the European Union for the five types of helplines (85-91% of Europeans think that these numbers are fairly or very useful) demonstrates the importance of providing these services and of unifying them under a single numbering range throughout the EU. Across the EU, three out of four people feel that their Government does not provide enough information about the 116 helplines. The low level of awareness of those 116 services that are operational (seldom exceeding 1% and never exceeding 7% for any number in any Member State) strongly suggests that people are quite right to report a lack of information. As the European Union steadily becomes more integrated and barriers between Member States continue to be dismantled, more and more EU citizens are spending time in Member States other than their home country, whether as tourists, students or workers. Recognising this ongoing change in European society, the European Commission adopted a decision in 2007 requiring Member States to reserve all six-digit telephone numbers starting with 116 for services of social value. As with the pan-European emergency services number, 112, which was established in 2003, the purpose of the 116 numbers is to give EU citizens a common set of free phone telephone numbers that they can use when in need or distress no matter where they happen to be within the EU2.

The results by volumes are distributed as follows:

• Volume A: Countries
• Volume AA: Groups of countries
• Volume A' (AP): Trends
• Volume AA' (AAP): Trends of groups of countries
• Volume B: EU/socio-demographics
• Volume B' (BP) : Trends of EU/ socio-demographics
• Volume C: Country/socio-demographics ---- Researchers may also contact GESIS - Leibniz Institute for the Social Sciences: https://www.gesis.org/eurobarometer

European Number of Lorries up to 3500 kg at Most 2 Years Old by Country, 2023 Discover more data with ReportLinker!

This table gives an overview of expenditure on regular education within the Netherlands. The government finances schools, colleges and universities. It pays for research which is done by universities on its behalf. Furthermore it provides student grants and loans, allowances for school costs, provisions for students with a disability and child care allowances as well as subsidies to companies and non-profit organisations. The government reclaims unjustified payments for student grants and loans and allowances for school costs. It also receives interest and repayments on student loans as well as EU subsidies for education. Parents and/or students have to pay tuition fees for schools, colleges and universities, parent contributions and contributions for school activities. They also have to purchase books and materials, pay for transport from home to school and back for students who are not eligible for subsidised transport, pay for private tutoring, pay interest and repayments on student loans, and repay wrongfully received student grants, loans and allowances for school costs. Parents and/or students receive child care allowances, provisions for students with a disability and an allowance for school costs as well as student grants and loans and scholarships of companies. Companies and non-profit organisations incur costs for supervising trainees and apprentices who combine learning with work experience. They also contribute to the cost of work related education of their employees and spend money on research that is outsourced to colleges for higher professional education and universities. Furthermore they contribute to the childcare allowances given to households and provide scholarships to students. Companies receive subsidies and tax benefits for the creation of apprenticeship places and trainee placements and for providing transport for pupils. Organisations abroad contract universities in the Netherlands to undertake research for them. The European Union provides funds and subsidies for education to schools, colleges and universities as well as to the Dutch government. Foreign governments contribute to international schools in the Netherlands that operate under their nationality. The table also contains various indicators used nationally and internationally to compare expenditure on education and place it in a broader context. The indicators are compounded on the basis of definitions of Statistics Netherlands and/or the OECD (Organisation for Economic Cooperation and Development). All figures presented have been calculated according to the standardised definitions of the OECD. In this table tertiary education includes research and development, except for the indicator Expenditure on education institutions per student, excluding R&D. The statistic on Education spending is compiled on a cash basis. This means that the education expenditure and revenues are allocated to the year in which they are paid out or received. However, the activity or transaction associated with the payment or receipt can take place in a different year. Statistics Netherlands published the revised National Accounts in June 2024. Among other things, GDP and total government expenditures have been adjusted upwards as a result of the revision. Data available from: 1995 Status of the figures: The figures from 1995 to 2022 are final. The 2023 figures are provisional. Changes as of 31 December 2024: The final figures of 2021 and 2022 and the provisional figures of 2023 have been added. As a result of the revision of the National Accounts, among other things, GDP and total government expenditures have been adjusted upwards. The indicators in this table that are expressed as a percentage of GDP and total government expenditure have been updated for the entire time series from 1995 on the basis of the revised figures. When will new figures be published? The final figures for 2023 and the provisional figures for 2024 will be published in December 2025. More information on the revision policy of National Accounts can be found under 'relevant articles' under paragraph 3.

European Union Imports of antiques of an age exceeding one hundred years from Iceland was US$1.86 Thousand during 2022, according to the United Nations COMTRADE database on international trade. European Union Imports of antiques of an age exceeding one hundred years from Iceland - data, historical chart and statistics - was last updated on March of 2025.

Since the early 1970s the European Commission´s Standard & Special Eurobarometer are regularly monitoring the public opinion in the European Union member countries. Principal investigators are the Directorate-General Communication and on occasion other departments of the European Commission or the European Parliament. Over time, candidate and accession countries were included in the Standard Eurobarometer Series. Selected questions or modules may not have been surveyed in each sample. Please consult the basic questionnaire for more information on country filter instructions or other questionnaire routing filters. In this study all question modules are in the standard Eurobarometer context: 1. Standard EU and trend questions, 2. Europe 2020 strategy and policy priorities, 3. Financial and economic crisis and related EU policies, 4. European citizenship, 5. Media use and political information.
Topics: 1. Attitudes towards the EU (standard EU and trend questions): life satisfaction; frequency of discussions about political matters on national, European, and local level; assessment of the current situation in the following areas: own country, national economy, European economy, personal job situation, financial situation of the own household, national employment situation, provision of public services in the own country; expectations for the next twelve months regarding: personal life in general, situation in the own country in general, national economic situation, financial situation of the own household, national employment situation, personal job situation, economic situation in the EU; most important problems in the own country, personally, and in the EU; assessment of the own country’s assumed membership in the EU as a good thing; expectations of benefit from an assumed membership of the own country; assessment of the full application of EU legislation for the Turkish Cypriot Community (TCC) as a good thing; expectations of benefit from the full application of EU legislation for the Turkish Cypriot Community (TCC); general direction things are going in the own country, the EU, and in the USA; trust in selected institutions: written press, radio, television, internet, online social networks, political parties, national legal system, police, army, public administration, regional or local public authorities, national government, national parliament, European Union, United Nations; image of the EU; positive associations with the following terms: free trade, globalisation, protectionism; meaning of the EU to the respondent; most suitable attributes for describing the EU: modern, democratic, protective, efficient, remote, forward-looking; knowledge of and trust in selected institutions: European Parliament, European Commission, European Central Bank; knowledge test on the EU: number of member states, direct election of European Parliament members by the citizens of each member state, Switzerland is a member of the EU; attitude towards the following issues: European economic and monetary union with one single currency, common foreign policy of all member states, further enlargement, common defence and security policy, free trade and investment agreement between the EU and the USA, common migration policy, common energy policy, digital single market within the EU, free movement of EU citizens; satisfaction with the democracy in the own country and in the EU; approval of the following statements: respondent understands how the EU works, recognition of the own country’s interests in the EU, EU’s voice counts in the world, globalisation as an opportunity for economic growth, better development of the own country outside the EU, more decisions to be taken at EU level; optimism about the future of the EU.

1. Europe 2020 strategy and policy priorities: likelihood to reach the following objectives by 2020: three quarters of people between 20 and 64 years of age having a job, share of funds invested in research and development reaching 3% of the wealth produced in the EU each year, reduction of EU greenhouse gas emissions by at least 20% (compared to 1990), increase of the share of renewable energy in the EU by 20%, increase of energy efficiency in the EU by 20%, reduction of the share of young people leaving school without qualifications to 10%, at least 40% of the people aged 30 to 34 having a higher education degree or diploma, reduction of the number of people living below the poverty line by a quarter, increase industry’s contribution to economy to 20% of GDP; EU is going in the right direction to exit the crisis and face new global challenges; most important objectives in a European energy union; feeling towards immigration of people from: other EU member states, outside the EU; attitude towards additional measures to fight illegal immigration of people from outside the EU on EU level and / or on national level; attitude towards the right for EU citizens to: live or work in every member state of the EU, live...

This table includes information on business demography according to the European standard. Figures in this table are also submitted in this form to Eurostat. Information concerns the population of active enterprises, enterprise births and deaths, and the 1, 2, 3, 4 and 5 year survivors after birth, broken down by size class based on number of employees and by the National Classification of Economic Activity 2008 (NCEA 2008, based on NACE Rev 2.0). Data also includes persons employed and employees in active enterprises, births and deaths, as well as persons employed for surviving births at the start and end of the survival period.

Data available from: 2010

Status of the figures: The figures in this table are final for 2010 to 2021. The figures for 2022 are provisional. Only the data on Dissolved companies for 2022 will be adjusted.

Changes as of October 16, 2024: The provisional figures for 2022 have been added.

When will new figures be released? Figures on a new reporting year (T – 2) will be published in July of the current year T.

This dataset provides values for CORRUPTION INDEX reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

European Union Trade Balance: EU 27E: ME: Food, Drink and Tobacco data was reported at 0.357 EUR bn in Oct 2024. This records a decrease from the previous number of 0.591 EUR bn for Sep 2024. European Union Trade Balance: EU 27E: ME: Food, Drink and Tobacco data is updated monthly, averaging 0.362 EUR bn from Jan 2002 (Median) to Oct 2024, with 274 observations. The data reached an all-time high of 1.121 EUR bn in Jul 2022 and a record low of -0.246 EUR bn in Mar 2007. European Union Trade Balance: EU 27E: ME: Food, Drink and Tobacco data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s European Union – Table EU.JA037: Eurostat: Trade Statistics: By SITC: European Union: Mediterranean.

European Number of Motor Coaches, Buses and Trolley Buses at Least 20 Years Old Share by Country (Units), 2023 Discover more data with ReportLinker!