33 datasets found
  1. T

    GDP by Country in EUROPE

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 30, 2017
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    TRADING ECONOMICS (2017). GDP by Country in EUROPE [Dataset]. https://tradingeconomics.com/country-list/gdp?continent=europe
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    csv, xml, json, excelAvailable download formats
    Dataset updated
    May 30, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    Europe
    Description

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

  2. m

    Distance Data for the Different Levels of European NUTS Regions

    • data.mendeley.com
    Updated Apr 8, 2022
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    Marcell Tamás Kurbucz (2022). Distance Data for the Different Levels of European NUTS Regions [Dataset]. http://doi.org/10.17632/hvjzvpfgbp.1
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    Dataset updated
    Apr 8, 2022
    Authors
    Marcell Tamás Kurbucz
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Europe
    Description

    The presented dataset contains the centroid distance matrix for the different levels of the European Union's (EU) Nomenclature of Territorial Units for Statistics (NUTS) regions in meters, as well as their code, name, level, and country identifier. Centroids are calculated based on the largest contiguous shape of regions. To support EU-related spatial, regional, and geographical studies, an R function is also attached that compiles the aforementioned dataset for the selected (or all) NUTS levels while complementing it with the geometrical data and centroids of regions. Optionally, this R function displays centroids on a map of Europe to ease the verification of their positions.

    Please cite as: • (Data in Brief article)

  3. T

    GDP PER CAPITA PPP by Country in EUROPE

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 28, 2017
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    TRADING ECONOMICS (2017). GDP PER CAPITA PPP by Country in EUROPE [Dataset]. https://tradingeconomics.com/country-list/gdp-per-capita-ppp?continent=europe
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    excel, json, csv, xmlAvailable download formats
    Dataset updated
    May 28, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    Europe
    Description

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

  4. Top EU Countries with the Largest Computer Services Industry, 2016

    • reportlinker.com
    Updated Apr 11, 2024
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    ReportLinker (2024). Top EU Countries with the Largest Computer Services Industry, 2016 [Dataset]. https://www.reportlinker.com/dataset/632d62bd3a224a2a2658da7f59b23c77882f1e74
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    Dataset updated
    Apr 11, 2024
    Dataset provided by
    Reportlinker
    Authors
    ReportLinker
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    European Union
    Description

    Top EU Countries with the Largest Computer Services Industry, 2016 Discover more data with ReportLinker!

  5. g

    European Values Study 2017: Integrated Dataset (EVS 2017)

    • search.gesis.org
    • pollux-fid.de
    Updated May 16, 2022
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    Gedeshi, Ilir; Pachulia, Merab; Poghosyan, Gevorg; Rotman, David; Kritzinger, Sylvia; Fotev, Georgy; Kolenović-Đapo, Jadranka; Baloban, Josip; Baloban, Stjepan; Rabušic, Ladislav; Frederiksen, Morten; Saar, Erki; Ketola, Kimmo; Wolf, Christof; Pachulia, Merab; Bréchon, Pierre; Voas, David; Rosta, Gergely; Jónsdóttir, Guðbjörg A.; Rovati, Giancarlo; Ziliukaite, Ruta; Petkovska, Antoanela; Komar, Olivera; Reeskens, Tim; Jenssen, Anders T.; Soboleva, Natalia; Marody, Mirosława; Voicu, Bogdan; Strapcová, Katarina; Bešić, Miloš; Uhan, Samo; Silvestre Cabrera, María; Wallman-Lundåsen, Susanne; Ernst Stähli, Michèle; Ramos, Alice; Balakireva, Olga; Mieriņa, Inta (2022). European Values Study 2017: Integrated Dataset (EVS 2017) [Dataset]. http://doi.org/10.4232/1.13897
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    (12272043), (9726384)Available download formats
    Dataset updated
    May 16, 2022
    Dataset provided by
    GESIS search
    GESIS
    Authors
    Gedeshi, Ilir; Pachulia, Merab; Poghosyan, Gevorg; Rotman, David; Kritzinger, Sylvia; Fotev, Georgy; Kolenović-Đapo, Jadranka; Baloban, Josip; Baloban, Stjepan; Rabušic, Ladislav; Frederiksen, Morten; Saar, Erki; Ketola, Kimmo; Wolf, Christof; Pachulia, Merab; Bréchon, Pierre; Voas, David; Rosta, Gergely; Jónsdóttir, Guðbjörg A.; Rovati, Giancarlo; Ziliukaite, Ruta; Petkovska, Antoanela; Komar, Olivera; Reeskens, Tim; Jenssen, Anders T.; Soboleva, Natalia; Marody, Mirosława; Voicu, Bogdan; Strapcová, Katarina; Bešić, Miloš; Uhan, Samo; Silvestre Cabrera, María; Wallman-Lundåsen, Susanne; Ernst Stähli, Michèle; Ramos, Alice; Balakireva, Olga; Mieriņa, Inta
    License

    https://www.gesis.org/en/institute/data-usage-termshttps://www.gesis.org/en/institute/data-usage-terms

    Time period covered
    Jun 19, 2017 - Oct 1, 2021
    Variables measured
    year - survey year, dweight - Design Weight, v225 - sex respondent (Q63), studyno - GESIS study number, gweight - Calibration weights, mode - mode of data collection, doi - Digital Object Identifier, v277 - date of interview (Q107), version - GESIS archive version, pweight - Population size weight, and 464 more
    Description

    The European Values Study is a large-scale, cross-national and longitudinal survey research program on how Europeans think about family, work, religion, politics, and society. Repeated every nine years in an increasing number of countries, the survey provides insights into the ideas, beliefs, preferences, attitudes, values, and opinions of citizens all over Europe.

    As previous waves conducted in 1981, 1990, 1999, 2008, the fifth EVS wave maintains a persistent focus on a broad range of values. Questions are highly comparable across waves and regions, making EVS suitable for research aimed at studying trends over time.

    The new wave has seen a strengthening of the methodological standards. The full release of the EVS 2017 includes data and documentation of altogether 37 participating countries. For more information, please go to the EVS website.

    Morale, religious, societal, political, work, and family values of Europeans.

    Topics: 1. Perceptions of life: importance of work, family, friends and acquaintances, leisure time, politics and religion; happiness; self-assessment of own health; memberships in voluntary organisations (religious or church organisations, cultural activities, trade unions, political parties or groups, environment, ecology, animal rights, professional associations, sports, recreation, or other groups, none); active or inactive membership of humanitarian or charitable organisation, consumer organisation, self-help group or mutual aid; voluntary work in the last six months; tolerance towards minorities (people of a different race, heavy drinkers, immigrants, foreign workers, drug addicts, homosexuals, Christians, Muslims, Jews, and gypsies - social distance); trust in people; estimation of people´s fair and helpful behavior; internal or external control; satisfaction with life; importance of educational goals: desirable qualities of children.

    1. Work: attitude towards work (job needed to develop talents, receiving money without working is humiliating, people turn lazy not working, work is a duty towards society, work always comes first); importance of selected aspects of occupational work; give priority to nationals over foreigners as well as men over women in jobs.

    2. Religion and morale: religious denomination; current and former religious denomination; current frequency of church attendance and at the age of 12; self-assessment of religiousness; belief in God, life after death, hell, heaven, and re-incarnation; personal god vs. spirit or life force; importance of God in one´s life (10-point-scale); frequency of prayers; morale attitudes (scale: claiming state benefits without entitlement, cheating on taxes, taking soft drugs, accepting a bribe, homosexuality, abortion, divorce, euthanasia, suicide, paying cash to avoid taxes, casual sex, avoiding fare on public transport, prostitution, in-vitro fertilization, political violence, death penalty).

    3. Family: trust in family; most important criteria for a successful marriage or partnership (faithfulness, adequate income, good housing, sharing household chores, children, time for friends and personal hobbies); marriage is an outdated institution; attitude towards traditional understanding of one´s role of man and woman in occupation and family (gender roles); homosexual couples are as good parents as other couples; duty towards society to have children; responsibility of adult children for their parents when they are in need of long-term care; to make own parents proud is a main goal in life.

    4. Politics and society: political interest; political participation; preference for individual freedom or social equality; self-assessment on a left-right continuum (10-point-scale) (left-right self-placement); individual vs. state responsibility for providing; take any job vs. right to refuse job when unemployed; competition good vs. harmful for people; equal incomes vs. incentives for individual effort; private vs. government ownership of business and industry; postmaterialism (scale); most important aims of the country for the next ten years; willingness to fight for the country; expectation of future development (less importance placed on work and greater respect for authority); trust in institutions; essential characteristics of democracy; importance of democracy for the respondent; rating democracy in own country; satisfaction with the political system in the country; preferred type of political system (strong leader, expert decisions, army should ...

  6. Inequalities in Alcohol-Related Mortality in 17 European Countries: A...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    doc
    Updated May 31, 2023
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    Johan P. Mackenbach; Ivana Kulhánová; Matthias Bopp; Carme Borrell; Patrick Deboosere; Katalin Kovács; Caspar W. N. Looman; Mall Leinsalu; Pia Mäkelä; Pekka Martikainen; Gwenn Menvielle; Maica Rodríguez-Sanz; Jitka Rychtaříková; Rianne de Gelder (2023). Inequalities in Alcohol-Related Mortality in 17 European Countries: A Retrospective Analysis of Mortality Registers [Dataset]. http://doi.org/10.1371/journal.pmed.1001909
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    docAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Johan P. Mackenbach; Ivana Kulhánová; Matthias Bopp; Carme Borrell; Patrick Deboosere; Katalin Kovács; Caspar W. N. Looman; Mall Leinsalu; Pia Mäkelä; Pekka Martikainen; Gwenn Menvielle; Maica Rodríguez-Sanz; Jitka Rychtaříková; Rianne de Gelder
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Europe
    Description

    BackgroundSocioeconomic inequalities in alcohol-related mortality have been documented in several European countries, but it is unknown whether the magnitude of these inequalities differs between countries and whether these inequalities increase or decrease over time.Methods and FindingsWe collected and harmonized data on mortality from four alcohol-related causes (alcoholic psychosis, dependence, and abuse; alcoholic cardiomyopathy; alcoholic liver cirrhosis; and accidental poisoning by alcohol) by age, sex, education level, and occupational class in 20 European populations from 17 different countries, both for a recent period and for previous points in time, using data from mortality registers. Mortality was age-standardized using the European Standard Population, and measures for both relative and absolute inequality between low and high socioeconomic groups (as measured by educational level and occupational class) were calculated.Rates of alcohol-related mortality are higher in lower educational and occupational groups in all countries. Both relative and absolute inequalities are largest in Eastern Europe, and Finland and Denmark also have very large absolute inequalities in alcohol-related mortality. For example, for educational inequality among Finnish men, the relative index of inequality is 3.6 (95% CI 3.3–4.0) and the slope index of inequality is 112.5 (95% CI 106.2–118.8) deaths per 100,000 person-years. Over time, the relative inequality in alcohol-related mortality has increased in many countries, but the main change is a strong rise of absolute inequality in several countries in Eastern Europe (Hungary, Lithuania, Estonia) and Northern Europe (Finland, Denmark) because of a rapid rise in alcohol-related mortality in lower socioeconomic groups. In some of these countries, alcohol-related causes now account for 10% or more of the socioeconomic inequality in total mortality.Because our study relies on routinely collected underlying causes of death, it is likely that our results underestimate the true extent of the problem.ConclusionsAlcohol-related conditions play an important role in generating inequalities in total mortality in many European countries. Countering increases in alcohol-related mortality in lower socioeconomic groups is essential for reducing inequalities in mortality. Studies of why such increases have not occurred in countries like France, Switzerland, Spain, and Italy can help in developing evidence-based policies in other European countries.

  7. g

    Cultural Routes of the Council of Europe | gimi9.com

    • gimi9.com
    Updated Feb 15, 2023
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    (2023). Cultural Routes of the Council of Europe | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_https-data-culture-gouv-fr-explore-dataset-itineraires-culturels-du-conseil-de-l-europe-/
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    Dataset updated
    Feb 15, 2023
    Area covered
    Council of Europe
    Description

    Launched by the Council of Europe in 1987, the Cultural Routes demonstrate, through time and space travel, that the heritage of different European countries contributes to the common cultural heritage. France is today the country of Europe crossed by the largest number of cultural routes of the Council of Europe, with 31 routes listed out of 48 certified in Europe. To know more.

  8. T

    GDP GROWTH RATE by Country in EUROPE

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 29, 2017
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    TRADING ECONOMICS (2017). GDP GROWTH RATE by Country in EUROPE [Dataset]. https://tradingeconomics.com/country-list/gdp-growth-rate?continent=europe
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    excel, csv, json, xmlAvailable download formats
    Dataset updated
    May 29, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    Europe
    Description

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

  9. e

    European Parliament COVID-19 Survey – Round 2 - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Apr 2, 2021
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    (2021). European Parliament COVID-19 Survey – Round 2 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/2344ebb8-ec02-56cc-aba2-afb38efa8441
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    Dataset updated
    Apr 2, 2021
    Description

    Attitudes towards the Coronavirus (COVID-19) pandemic. Topics: satisfaction with the national government in general; satisfaction with the measures of the national government to fight the Coronavirus pandemic; preferred statement with regard to the consequences of the restriction measures in the own country: health benefits are greater than economic damage, economic damage is greater than health benefits; satisfaction with solidarity between EU member states in fighting the Coronavirus pandemic; awareness of measures taken by the EU to respond to the Coronavirus pandemic; satisfaction with these measures; EU should have more competences to deal with crises such as the Coronavirus pandemic; preferred EU measures to respond to the Corona crisis; preferred statement: EU should have greater financial means to be able to overcome the consequences of the Coronavirus pandemic, EU has sufficient financial means to be able to overcome the consequences of the Coronavirus pandemic; preferred fields on which to spend most of the EU budget on; preferred statement: fight against the Coronavirus pandemic fully justifies recent limitations to individual freedom, fully opposed to any limitation of individual freedom regardless of the pandemic; attitude towards public authorities using mobile phone applications of citizens to fight the virus’ expansion; current emotional status; personally experienced effects of the Coronavirus pandemic in the own country: loss of income, difficulties paying rent or bills or bank loans, use of personal savings sooner than planned, unemployment, bankruptcy, difficulties having proper and decent-quality meals, asked for financial help to family or friends, other financial issues; use of selected online social networks in the last week; most trustworthy persons or institutions with regard to information about the Coronavirus pandemic; attitude towards the European Union; change in feeling of attachment since the start of the beginning of the pandemic in the own country with regard to: local community, own country, EU; EU image; impact of the pandemic on EU image; participation in the last elections to the European Parliament. Demography: sex; age; age at end of education; head of household; occupation of main income earner in the household; professional position of main income earner in the household; employment status; marital status; household composition and household size; region. Additionally coded was: respondent ID; country; date of interview; weighting factor. Einstellungen zur Corona-Pandemie (COVID-19). Themen: Zufriedenheit mit der nationalen Regierung im Allgemeinen; Zufriedenheit mit den Maßnahmen der nationalen Regierung zur Bekämpfung der Corona-Pandemie; präferierte Aussage im Hinblick auf die Konsequenzen der beschlossenen Einschränkungen im eigenen Land: gesundheitlicher Nutzen ist größer als der wirtschaftliche Schaden, wirtschaftlicher Schaden ist größer als der gesundheitliche Nutzen; Zufriedenheit mit der Solidarität unter den EU-Mitgliedstaaten bei der Bekämpfung der Corona-Pandemie; Kenntnis über Maßnahmen der EU zur Bewältigung der Corona-Pandemie; Zufriedenheit mit diesen Maßnahmen; EU sollte mehr Kompetenzen im Umgang mit Krisen wie der Corona-Pandemie haben; präferierte EU-Maßnahmen zur Bewältigung der Corona-Krise; präferierte Aussage: EU sollte mehr finanzielle Mittel zur Bewältigung der Auswirkungen der Coronavirus-Pandemie zur Verfügung haben, EU hat ausreichend finanzielle Mittel zur Bewältigung der Auswirkungen der Coronavirus-Pandemie zur Verfügung; präferierte Bereiche, für die der größte Teil des Haushalts ausgegeben werden sollte; präferierte Aussage: Kampf gegen die Corona-Pandemie rechtfertigt die kürzlichen Einschränkungen der individuellen Freiheit vollkommen, Ablehnen jeglicher Einschränkungen der individueller Freiheit unabhängig von der Pandemie; Einstellung zur Nutzung spezieller Apps auf den Mobiltelefonen der Bürger durch öffentliche Behörden zur Verhinderung der Verbreitung des Virus; derzeitiger Gefühlszustand; persönliche Erfahrungen mit den Auswirkungen der Corona-Pandemie im eigenen Land: Einkommensverlust, Schwierigkeiten bei der Bezahlung von Mieten oder Rechnungen oder Darlehen, Verwendung von Ersparnissen früher als geplant, Arbeitslosigkeit, Konkurs, keine vernünftigen Mahlzeiten, Bitte um finanzielle Unterstützung durch Familie oder Freunde, andere finanzielle Angelegenheiten; Nutzung ausgewählter sozialer Netzwerke im Internet in der letzten Woche; vertrauenswürdigste Personen oder Institutionen im Hinblick auf Informationen zur Coronavirus-Pandemie; Einstellung zur Europäischen Union; Veränderung des Gefühls der Verbundenheit seit Beginn der Pandemie im eigenen Land mit: lokaler Gemeinschaft, eigenem Land, EU; Image der EU; Auswirkungen der Pandemie auf das Image der EU; Teilnahme an den letzten Europawahlen. Demographie: Geschlecht; Alter; Alter bei Beendigung der Ausbildung; Haushaltsvorstand; Beruf des Haupteinkommensbeziehers im Haushalt; berufliche Stellung des Haupteinkommensbeziehers im Haushalt; Beschäftigungsstatus; Familienstand; Haushaltszusammensetzung und Haushaltsgröße; Region. Zusätzlich vercodet wurde: Befragten-ID; Land; Interviewdatum; Gewichtungsfaktor.

  10. g

    Simple download service (Atom) of the dataset: Geographical area of a...

    • gimi9.com
    • data.europa.eu
    Updated Feb 16, 2024
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    (2024). Simple download service (Atom) of the dataset: Geographical area of a wine-type protected designation of origin in the Cantal [Dataset]. https://gimi9.com/dataset/eu_fr-120066022-srv-15177bb7-294c-4110-bafe-fb336ee25837
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    Dataset updated
    Feb 16, 2024
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    INAO Directive 1/2000 refers to the materialisation of the production area of the PDO under the term ‘geographical area’. It is defined by a list of administrative entities (departments, cantons, municipalities) or by natural geographical boundaries. It corresponds to the largest demarcated area in which all stages of product development are permitted. Nevertheless, for wines there may be an area of immediate proximity, defined by derogation, for winemaking and winemaking. The details of this derogation are set out in Chapter XI of the specification for the designation. In some cases, the geographical area differs from territories where only part of the preparation of the product is authorised. The PDO, the protected designation of origin, corresponds to the European controlled designation of origin. It is the name of a region, a specified place or, in exceptional cases, a country, which is used to designate an agricultural product or foodstuff originating in that region, place or country, of which: — the quality or characteristics are due essentially or exclusively to the geographical environment including natural and human factors and, — production, processing and preparation take place in the defined geographical area. A designation includes 1 to n denomination(s) and 1 to n products (e.g. the colours of the wines, which may be subject to specific delimitations). The recognition of an AOC in France is a prerequisite for its final recognition at European level as a PDO. In case of refusal to register as PDO, the product loses the benefit of the AOC. In the case of a wine-type PDO, the value of the attribute TYPE_PRODUIT is 4.1 (Vins)

  11. T

    INFLATION RATE by Country in EUROPE

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 28, 2025
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    TRADING ECONOMICS (2025). INFLATION RATE by Country in EUROPE [Dataset]. https://tradingeconomics.com/country-list/inflation-rate?continent=europe
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    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Jul 28, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    Europe
    Description

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

  12. e

    European Parliament COVID-19 Survey – Round 3 - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Apr 2, 2021
    + more versions
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    (2021). European Parliament COVID-19 Survey – Round 3 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/94c79328-6a9e-593e-95fd-7c78b477099b
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    Dataset updated
    Apr 2, 2021
    Description

    Attitudes towards the Coronavirus (COVID-19) pandemic. Topics: satisfaction with the national government in general; satisfaction with the measures of the national government to fight the Coronavirus pandemic; preferred statement with regard to the consequences of the restriction measures in the own country: health benefits are greater than economic damage, economic damage is greater than health benefits; satisfaction with solidarity between EU member states in fighting the Coronavirus pandemic; awareness of measures taken by the EU to respond to the Coronavirus pandemic; satisfaction with these measures; EU should have more competences to deal with crises such as the Coronavirus pandemic; preferred EU measures to respond to the Corona crisis; preferred statement: EU should have greater financial means to be able to overcome the consequences of the Coronavirus pandemic, EU has sufficient financial means to be able to overcome the consequences of the Coronavirus pandemic; preferred fields on which to spend most of the EU budget on; EU should only provide funds to Member States conditional upon their government’s implementation of the rule of law and of democratic principles; attitude towards the appropriateness of EU measures to make its economy climate neutral by 2050; importance to put EU core values as a priority in its relations with major international actors; preferred statement: fight against the Coronavirus pandemic fully justifies recent limitations to individual freedom, fully opposed to any limitation of individual freedom regardless of the pandemic; current emotional status; personally experienced effects of the Coronavirus pandemic in the own country: loss of income, difficulties paying rent or bills or bank loans, use of personal savings sooner than planned, unemployment, bankruptcy, difficulties having proper and decent-quality meals, asked for financial help to family or friends, other financial issues; impact of the Coronavirus pandemic on personal income; use of selected online social networks in the last week; attitude towards the European Union; EU image; impact of the pandemic on EU image; participation in the last elections to the European Parliament. Demography: sex; age; age at end of education; head of household; occupation of main income earner in the household; professional position of main income earner in the household; employment status; marital status; household composition and household size; region. Additionally coded was: respondent ID; country; date of interview; weighting factor. Einstellungen zur Corona-Pandemie (COVID-19). Themen: Zufriedenheit mit der nationalen Regierung im Allgemeinen; Zufriedenheit mit den Maßnahmen der nationalen Regierung zur Bekämpfung der Corona-Pandemie; präferierte Aussage im Hinblick auf die Konsequenzen der beschlossenen Einschränkungen im eigenen Land: gesundheitlicher Nutzen ist größer als der wirtschaftliche Schaden, wirtschaftlicher Schaden ist größer als der gesundheitliche Nutzen; Zufriedenheit mit der Solidarität unter den EU-Mitgliedstaaten bei der Bekämpfung der Corona-Pandemie; Kenntnis über Maßnahmen der EU zur Bewältigung der Corona-Pandemie; Zufriedenheit mit diesen Maßnahmen; EU sollte mehr Kompetenzen im Umgang mit Krisen wie der Corona-Pandemie haben; präferierte EU-Maßnahmen zur Bewältigung der Corona-Krise; präferierte Aussage: EU sollte mehr finanzielle Mittel zur Bewältigung der Auswirkungen der Coronavirus-Pandemie zur Verfügung haben, EU hat ausreichend finanzielle Mittel zur Bewältigung der Auswirkungen der Coronavirus-Pandemie zur Verfügung; präferierte Bereiche, für die der größte Teil des Haushalts ausgegeben werden sollte; EU sollte finanzielle Unterstützung von Mitgliedstaaten von der Implementierung rechtsstaatlicher und demokratischer Prinzipien abhängig machen; Einstellung zur Angemessenheit der EU-Maßnahmen in Bezug auf das Erreichen des Ziels einer klimaneutralen Wirtschaft bis 2050; Wichtigkeit, die EU-Grundwerte prioritär in die Beziehungen zu wichtigen internationalen Akteuren einzubringen; präferierte Aussage: Kampf gegen die Corona-Pandemie rechtfertigt die kürzlichen Einschränkungen der individuellen Freiheit vollkommen, Ablehnen jeglicher Einschränkungen der individueller Freiheit unabhängig von der Pandemie; derzeitiger Gefühlszustand; persönliche Erfahrungen mit den Auswirkungen der Corona-Pandemie im eigenen Land: Einkommensverlust, Schwierigkeiten bei der Bezahlung von Mieten oder Rechnungen oder Darlehen, Verwendung von Ersparnissen früher als geplant, Arbeitslosigkeit, Konkurs, keine vernünftigen Mahlzeiten, Bitte um finanzielle Unterstützung durch Familie oder Freunde, andere finanzielle Angelegenheiten; Auswirkung der Coronavirus-Pandemie auf das persönliche Einkommen; Nutzung ausgewählter sozialer Netzwerke im Internet in der letzten Woche; Einstellung zur Europäischen Union; Image der EU; Auswirkungen der Pandemie auf das Image der EU; Teilnahme an den letzten Europawahlen. Demographie: Geschlecht; Alter; Alter bei Beendigung der Ausbildung; Haushaltsvorstand; Beruf des Haupteinkommensbeziehers im Haushalt; berufliche Stellung des Haupteinkommensbeziehers im Haushalt; Beschäftigungsstatus; Familienstand; Haushaltszusammensetzung und Haushaltsgröße; Region. Zusätzlich vercodet wurde: Befragten-ID; Land; Interviewdatum; Gewichtungsfaktor.

  13. r

    Restructuring Large Housing Estates in European Cities: Good Practices and...

    • researchdata.edu.au
    • research-repository.rmit.edu.au
    Updated Nov 4, 2020
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    sjoerd de vos; sako musterd; ronald van kempen; Karien Dekker; 0000-0001-7361-591x (2020). Restructuring Large Housing Estates in European Cities: Good Practices and New Visions for Sustainable Neighbourhoods and Cities - data from 31 large housing estates in 10 European countries (2004) [Dataset]. http://doi.org/10.6084/M9.FIGSHARE.5436283.V1
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    Dataset updated
    Nov 4, 2020
    Dataset provided by
    RMIT University, Australia
    Authors
    sjoerd de vos; sako musterd; ronald van kempen; Karien Dekker; 0000-0001-7361-591x
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Europe
    Description

    The empirical dataset is derived from a survey carried out on 25 estates in 14 cities in nine different European countries: France (Lyon), Germany (Berlin), Hungary (Budapest and Nyiregyha´za), Italy (Milan), the Netherlands (Amsterdam and Utrecht), Poland (Warsaw), Slovenia (Ljubljana and Koper), Spain (Barcelona and Madrid), and Sweden (Jo¨nko¨ping and Stockholm). The survey was part of the EU RESTATE project (Musterd & Van Kempen, 2005). A similar survey was constructed for all 25 estates.

    The survey was carried out between February and June 2004. In each case, a random sample was drawn, usually from the whole estate. For some estates, address lists were used as the basis for the sample; in other cases, the researchers first had to take a complete inventory of addresses themselves (for some deviations from this general trend and for an overview of response rates, see Musterd & Van Kempen, 2005). In most cities, survey teams were hired to carry out the survey. They worked under the supervision of the RESTATE partners. Briefings were organised to instruct the survey teams. In some cases (for example, in Amsterdam and Utrecht), interviewers were recruited from specific ethnic groups in order to increase the response rate among, for example, the Turkish and Moroccan residents on the estates. In other cases, family members translated questions during a face-to-face interview. The interviewers with an immigrant background were hired in those estates where this made sense. In some estates it was not necessary to do this because the number of immigrants was (close to) zero (as in most cases in CE Europe).

    The questionnaire could be completed by the respondents themselves, but also by the interviewers in a face-to-face interview.

    Data and Representativeness

    The data file contains 4756 respondents. Nearly all respondents indicated their satisfaction with the dwelling and the estate. Originally, the data file also contained cases from the UK.

    However, UK respondents were excluded from the analyses because of doubts about the reliability of the answers to the ethnic minority questions. This left 25 estates in nine countries. In general, older people and original populations are somewhat over-represented, while younger people and immigrant populations are relatively under-represented, despite the fact that in estates with a large minority population surveyors were also employed from minority ethnic groups. For younger people, this discrepancy probably derives from the extent of their activities outside the home, making them more difficult to reach. The under-representation of the immigrant population is presumably related to language and cultural differences. For more detailed information on the representation of population in each case, reference is made to the reports of the researchers in the different countries which can be downloaded from the programme website. All country reports indicate that despite these over- and under-representations, the survey results are valuable for the analyses of their own individual situation.

    This dataset is the result of a team effort lead by Professor Ronald van Kempen, Utrecht University with funding from the EU Fifth Framework.

  14. Number of UK citizens living in EU countries 2019

    • statista.com
    Updated Jul 15, 2025
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    Statista (2025). Number of UK citizens living in EU countries 2019 [Dataset]. https://www.statista.com/statistics/1059795/uk-expats-in-europe/
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    Dataset updated
    Jul 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    European Union
    Description

    In 2019, there were approximately 302,020 British citizens living in Spain, with a further 293,061 in Ireland and 176,672 in France. By comparison, there were only 604 British people living in Slovenia, the fewest of any European Union member state. As a member of the European Union, British citizens had the right to live and work in any EU member state. Although these rights were lost for most British citizens after the UK left the EU in 2020, Britons already living in EU states were able to largely retain their previous rights of residence. EU citizens living in the UK EU citizens living in the UK face the same dilemma that British nationals did regarding their legal status after Brexit. In the same year, there were 902,000 Polish citizens, 404,000 Romanians, and 322,000 people from the Republic of Ireland living in the UK in that year, along with almost two million EU citizens from the other 24 EU member states. To retain their rights after Brexit, EU citizens living in the UK were able to apply for the EU settlement scheme. As of 2025, there have been around 8.4 million applications to this scheme, with Romanian and Polish nationals the most common nationality at 1.87 million applications, and 1.27 million applications respectively. Is support for Brexit waning in 2024? As of 2025, the share of people in the UK who think leaving the EU was the wrong decision stood at 56 percent, compared with 31 percent who think it was the correct choice. In general, support for Brexit has declined since April 2021, when 46 percent of people supported Brexit, compared with 43 percent who regretted it. What people think Britain's relationship with the EU should be is, however, still unclear. A survey from November 2023 indicated that just 31 percent thought the UK should rejoin the EU, with a further 11 percent supporting rejoining the single market but not the EU. Only ten percent of respondents were satisfied with the current relationship, while nine percent wished to reduce ties even further.

  15. Digital ad spend in Western Europe 2023, by country

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Digital ad spend in Western Europe 2023, by country [Dataset]. https://www.statista.com/statistics/237928/online-advertising-spending-in-western-europe/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Western Europe, Europe
    Description

    In 2023, the United Kingdom was the largest digital advertising market in Western Europe with a spending of ** billion euros. Greece was the smallest market, with an expenditure of *** million euros. The ** countries presented in the data set had a spending of nearly ** billion euros altogether.

  16. Market share of the largest generator in the electricity market

    • data.europa.eu
    • opendata.marche.camcom.it
    • +1more
    csv, html, tsv, xml
    Updated Jul 19, 2025
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    Eurostat (2025). Market share of the largest generator in the electricity market [Dataset]. https://data.europa.eu/data/datasets/vk1yaqu00tw2obxk8kqr0a?locale=en
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    csv, xml(8885), xml(2569), tsv(1291), htmlAvailable download formats
    Dataset updated
    Jul 19, 2025
    Dataset authored and provided by
    Eurostathttps://ec.europa.eu/eurostat
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Market share of the largest electricity generator in each country in terms of net production, in percent. The net production of all electricity generators (except those producing electricity for their own use) is taken into account.

  17. T

    INTEREST RATE by Country in EUROPE

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 29, 2017
    + more versions
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    TRADING ECONOMICS (2017). INTEREST RATE by Country in EUROPE [Dataset]. https://tradingeconomics.com/country-list/interest-rate?continent=europe
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    csv, excel, json, xmlAvailable download formats
    Dataset updated
    May 29, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    Europe
    Description

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

  18. d

    AdMiGov - Migration and Development - Ethiopia - Dataset - B2FIND

    • b2find.dkrz.de
    • b2find.eudat.eu
    Updated Jan 27, 2023
    + more versions
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    (2023). AdMiGov - Migration and Development - Ethiopia - Dataset - B2FIND [Dataset]. https://b2find.dkrz.de/dataset/1e49729a-7d97-5714-91fc-b8ca85251a12
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    Dataset updated
    Jan 27, 2023
    Area covered
    Ethiopia
    Description

    The data was collected as part of H2020 ADMIGOV project, subproject (WP6) that examined relationships between development interventions and the migration aspirations of refugees and other migrants. The data was collected for a case study in Ethiopia among Eritrean refugees and Ethiopian nationals. Ethiopia is a significant country of migration for refugee hosting, emigration and return migration. It is the third largest refugee hosting country in Africa and has an increasing number of nationals moving within the country and internationally. Ethiopia has been a key target country of the EU Trust fund for Africa (EUTF) and a focal country for several migration and development projects over the past decade. Due to COVID-19 pandemic and subsequent military confrontations in the region, data was collected by the means of a high-frequency phone survey. This phone survey was a short additional module to an existing high-frequency phone survey led by the World Bank in Ethiopia.In total, between March and May 2021, 531 phone interviews with Eritrean refugees in Ethiopia and 388 phone interviews with Ethiopian nationals were conducted. This has resulted in two datasets, one for Eritrean refugees and one for Ethiopian nationals.

  19. e

    Transparency: Country-by-country accounting data of the 5 largest French...

    • data.europa.eu
    excel xlsx, pdf
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    Oxfam France, Transparency: Country-by-country accounting data of the 5 largest French banks [Dataset]. https://data.europa.eu/data/datasets/56f29b4fc751df683f53faef
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    excel xlsx(3061773), pdf(4506120)Available download formats
    Dataset authored and provided by
    Oxfam France
    License

    Licence Ouverte / Open Licence 1.0https://www.etalab.gouv.fr/wp-content/uploads/2014/05/Open_Licence.pdf
    License information was derived automatically

    Area covered
    French
    Description

    For the first time in 2015, French banks made public essential information about their activities and the taxes they pay in all the countries where they are established.

    The CCFD-Terre Solidaire, Oxfam France and Secours Catholique-Caritas France, in partnership with the Paradis Fiscaux and Judiciaires Platform, analyzed these data in detail. By focusing on the activities of the five largest French banks, this survey took them to the heart of tax havens.This study reveals the importance and specificity of these territories in the international activity of major French banks. And confirms the need for transparency across all economic sectors to combat tax evasion.

    This dataset analyses, bank by bank, country by country, the activities of major French banks. The data in the first tabs are based on the information published by BNP-Paribas, Société Générale, Crédit Agricole, Crédit Mutuel and Groupe BPCE as part of their 2014 reference documents. These data are then analysed and processed in the ‘overall summary’ tab, first by aggregating the various reporting data, then by indicators (those used in the report) and then by country (with the details of the various indicators).

    The full methodology is detailed in Annex 1 to report (pp. 37-38).

  20. e

    European Parliament COVID-19 Survey – Round 2 - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Jul 25, 2025
    + more versions
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    (2025). European Parliament COVID-19 Survey – Round 2 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/c016a9d9-8256-5153-b8fd-a0a34356db21
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    Dataset updated
    Jul 25, 2025
    Description

    Einstellungen zur Corona-Pandemie (COVID-19). Themen: Zufriedenheit mit der nationalen Regierung im Allgemeinen; Zufriedenheit mit den Maßnahmen der nationalen Regierung zur Bekämpfung der Corona-Pandemie; präferierte Aussage im Hinblick auf die Konsequenzen der beschlossenen Einschränkungen im eigenen Land: gesundheitlicher Nutzen ist größer als der wirtschaftliche Schaden, wirtschaftlicher Schaden ist größer als der gesundheitliche Nutzen; Zufriedenheit mit der Solidarität unter den EU-Mitgliedstaaten bei der Bekämpfung der Corona-Pandemie; Kenntnis über Maßnahmen der EU zur Bewältigung der Corona-Pandemie; Zufriedenheit mit diesen Maßnahmen; EU sollte mehr Kompetenzen im Umgang mit Krisen wie der Corona-Pandemie haben; präferierte EU-Maßnahmen zur Bewältigung der Corona-Krise; präferierte Aussage: EU sollte mehr finanzielle Mittel zur Bewältigung der Auswirkungen der Coronavirus-Pandemie zur Verfügung haben, EU hat ausreichend finanzielle Mittel zur Bewältigung der Auswirkungen der Coronavirus-Pandemie zur Verfügung; präferierte Bereiche, für die der größte Teil des Haushalts ausgegeben werden sollte; präferierte Aussage: Kampf gegen die Corona-Pandemie rechtfertigt die kürzlichen Einschränkungen der individuellen Freiheit vollkommen, Ablehnen jeglicher Einschränkungen der individueller Freiheit unabhängig von der Pandemie; Einstellung zur Nutzung spezieller Apps auf den Mobiltelefonen der Bürger durch öffentliche Behörden zur Verhinderung der Verbreitung des Virus; derzeitiger Gefühlszustand; persönliche Erfahrungen mit den Auswirkungen der Corona-Pandemie im eigenen Land: Einkommensverlust, Schwierigkeiten bei der Bezahlung von Mieten oder Rechnungen oder Darlehen, Verwendung von Ersparnissen früher als geplant, Arbeitslosigkeit, Konkurs, keine vernünftigen Mahlzeiten, Bitte um finanzielle Unterstützung durch Familie oder Freunde, andere finanzielle Angelegenheiten; Nutzung ausgewählter sozialer Netzwerke im Internet in der letzten Woche; vertrauenswürdigste Personen oder Institutionen im Hinblick auf Informationen zur Coronavirus-Pandemie; Einstellung zur Europäischen Union; Veränderung des Gefühls der Verbundenheit seit Beginn der Pandemie im eigenen Land mit: lokaler Gemeinschaft, eigenem Land, EU; Image der EU; Auswirkungen der Pandemie auf das Image der EU; Teilnahme an den letzten Europawahlen. Demographie: Geschlecht; Alter; Alter bei Beendigung der Ausbildung; Haushaltsvorstand; Beruf des Haupteinkommensbeziehers im Haushalt; berufliche Stellung des Haupteinkommensbeziehers im Haushalt; Beschäftigungsstatus; Familienstand; Haushaltszusammensetzung und Haushaltsgröße; Region. Zusätzlich vercodet wurde: Befragten-ID; Land; Interviewdatum; Gewichtungsfaktor. Attitudes towards the Coronavirus (COVID-19) pandemic. Topics: satisfaction with the national government in general; satisfaction with the measures of the national government to fight the Coronavirus pandemic; preferred statement with regard to the consequences of the restriction measures in the own country: health benefits are greater than economic damage, economic damage is greater than health benefits; satisfaction with solidarity between EU member states in fighting the Coronavirus pandemic; awareness of measures taken by the EU to respond to the Coronavirus pandemic; satisfaction with these measures; EU should have more competences to deal with crises such as the Coronavirus pandemic; preferred EU measures to respond to the Corona crisis; preferred statement: EU should have greater financial means to be able to overcome the consequences of the Coronavirus pandemic, EU has sufficient financial means to be able to overcome the consequences of the Coronavirus pandemic; preferred fields on which to spend most of the EU budget on; preferred statement: fight against the Coronavirus pandemic fully justifies recent limitations to individual freedom, fully opposed to any limitation of individual freedom regardless of the pandemic; attitude towards public authorities using mobile phone applications of citizens to fight the virus’ expansion; current emotional status; personally experienced effects of the Coronavirus pandemic in the own country: loss of income, difficulties paying rent or bills or bank loans, use of personal savings sooner than planned, unemployment, bankruptcy, difficulties having proper and decent-quality meals, asked for financial help to family or friends, other financial issues; use of selected online social networks in the last week; most trustworthy persons or institutions with regard to information about the Coronavirus pandemic; attitude towards the European Union; change in feeling of attachment since the start of the beginning of the pandemic in the own country with regard to: local community, own country, EU; EU image; impact of the pandemic on EU image; participation in the last elections to the European Parliament. Demography: sex; age; age at end of education; head of household; occupation of main income earner in the household; professional position of main income earner in the household; employment status; marital status; household composition and household size; region. Additionally coded was: respondent ID; country; date of interview; weighting factor.

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TRADING ECONOMICS (2017). GDP by Country in EUROPE [Dataset]. https://tradingeconomics.com/country-list/gdp?continent=europe

GDP by Country in EUROPE

GDP by Country in EUROPE (2025)

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262 scholarly articles cite this dataset (View in Google Scholar)
csv, xml, json, excelAvailable download formats
Dataset updated
May 30, 2017
Dataset authored and provided by
TRADING ECONOMICS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
2025
Area covered
Europe
Description

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

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