This report presents a comparative overview of the main features of national student fee and financial support systems in European higher education in the 2020/21 academic year. It provides the reader with insights on whether any fees are charged to students in higher education, which students may have to pay such fees and how much. It also presents public financial support tools available to students, including grants and loans, as well as to their families, in the form of tax benefits to students’ parents and family allowances. [+]
After 2000 and 2008, the Harmonised European Time Use Surveys (HETUS) 2018 guidelines are the third version of this methodological manual issued by Eurostat. These HETUS 2018 guidelines were firstly published on the Eurostat website in April 2019. All errors and possible improvements detected in the text since then were either removed from or added to this re-edition 2020. The HETUS 2018 guidelines recommend – as innovations compared to 2008 – to include a new diary column on information and communication technology (ICT) used during each activity. The three-level HETUS Activity Coding List (ACL) 2018 will be exactly the same as ACL 2008 for the two aggregated levels; only on detailed third level of ACL a few additional codes are proposed. Moreover, people's everyday satisfaction will be captured in future via four additional questions at the end of the diary. In order to reduce the burden of respondents, there are fewer questions in the household and in the individual model questionnaire. Finally, the form "Weekly Schedule of Working Time" will be left out. Actually, countries planning to participate in HETUS wave 3 are preparing, together with Eurostat, to complete HETUS with new tools and sources for collecting data in the years to come. Results of these initiatives will become available by the end of 2020 and these will then be "translated" into precise and generally applicable methodological guidelines. Eurostat works – with the help of a dedicated Task Force TUS on Innovative Tools and Sources – to develop additional guidelines of this kind from 2021 onwards. Such additional guidelines, e.g. on new ways and mixed modes of data collection, will be added as an annex to the HETUS 2018 guidelines as soon as they will be ready. [+]
What city is the cleanest or the safest? In which city is easy to find a job or a house? Which city has the best public transport or air quality? Answers to these questions and many more can be found in the latest Report on the Quality of life in European Cities, 2020. This report summarises the results of the 5th survey of European cities, which covers 83 cities and was carried out in 2019.
The new Quality of life in European cities survey provides a unique insight into city life. It gathers the experiences and opinions of city dwellers across Europe. It shows that people living in northern EU cities are the most satisfied with their city, but satisfaction in eastern EU cities is increasingly rapidly. People living in a large city are more satisfied with public transport, but those living in smaller cities feel safer when walking alone at night.
Most people think their city is a good place for minorities, but in some cities less than half the residents think this is the case. For the first time, the survey includes questions about the quality of the city administration. For example, half of the city residents think there is corruption in their city administration, but in the worst cities four in five think this is the case compared to only one in five in the best cities.
The interactive maps and spider charts are another novelty. Below people can select the questions they want to see on a map and they can select for which city they want to see an overview of how it compares the average city and the best and the worst city in the survey. Both maps and charts can be downloaded. Under the maps and spider charts, you will find addition information, including all the maps and charts of the questions used in the report, the data, the full questionnaire and a technical report on the survey. [+]
Encuesta especial del Eurobarómetro: ¿cómo creen los europeos que se vive en la UE en términos de equidad?
Según una nueva encuesta, la mayoría de los europeos considera que en su vida hay, en general, equidad, si bien abrigan inquietudes acerca de la justicia, las decisiones políticas y la desigualdad de ingresos. Jean-Claude Juncker, presidente de la Comisión Europea, ha hecho de la equidad en la UE el fundamento de sus prioridades políticas. Para respaldar este esfuerzo con pruebas científicas, el Centro Común de Investigación (CCI), servicio de ciencia y conocimiento de la Comisión, elaboró el año pasado su primer informe sobre la equidad. Los resultados del Eurobarómetro especial publicado hoy ayudarán a abordar cuestiones generales sobre las injusticias percibidas en el empleo, la educación, la salud y la sociedad en sentido amplio.
Según este Eurobarómetro, son mayoría los europeos que consideran que en sus vidas está esencialmente presente la equidad y que disfrutan de igualdad de oportunidades para progresar en la vida. Sin embargo, están menos convencidos de que las decisiones de la justicia y las decisiones políticas se apliquen de manera igualitaria y coherente en sus países, es decir, sin importar la clase social, la riqueza y los contactos de cada cual. La gran mayoría piensa también que las desigualdades de ingresos son demasiado grandes y que los gobiernos deberían actuar al respecto, mientras que menos de la mitad opinan que la igualdad de oportunidades y su posición social han ido mejorando. (RAPID, IP/18/3427, 23.4.2018)
The Europe 2020 social inclusion target is measured through work attachment, income and material deprivation indicators using the EU Statistics on Income and Living Conditions (EU-SILC). There has been increasing interest in recent years in whether expenditure and consumption provide more appropriate measures of standards of living than income. So, this working paper compares people’s exposure to poverty using three different measures: income, expenditure and material deprivation. However, no single data source provides joint information on all these variables. Therefore, the working paper describes methodological work conducted to statistically match expenditure from the Household Budget Survey with income and material deprivation contained within EU-SILC using data for six EU countries. The three matching approaches used are parametric, non-parametric and mixed. Overall, the mixed methods approach tends to perform slightly better at matching expenditure, based on a variety of measures. The implications of this work for the ongoing review of the EU-SILC legal basis are discussed. [+]
Among the primary EU indicators of social inclusion is the persistent at risk of poverty rate, defined as the proportion of persons in a country who are at risk of income poverty in the current year and who were at risk of income poverty in at least two of the preceding three years. Evidence about poverty persistence is an important complement to information about poverty prevalence at a point in time. Estimates of persistent at risk of poverty rates are derived from the longitudinal component of EU SILC in which the fortunes of individuals are tracked over four consecutive years, in principle. In practice, not all of the individuals present in the first sample year provide four years of income data: there is attrition and estimates of persistent at risk of poverty measure may therefore not be reliable. Rates of attrition from the four-year EU-SILC samples used to calculate persistent poverty rates vary substantially across Member States, and there is also substantial cross-national diversity in the characteristics of individuals lost to follow-up. This working paper documents such patterns in detail and provides evidence that application of longitudinal weights does not fully account for the effects of attrition, and that different assumptions about the poverty status of attritors lead to wide bounds for estimates of persistent poverty rates for most Member States. [+]
This working paper examines the top tail of the income distributions in the 2012 EU-SILC data. First, it discusses issues related to data quality, including under-estimation of top incomes. Then, the data are used as they are to compute several income-based measures of affluence. Finally, the link between non-income information and high incomes is analysed. The working paper shows that EU-SILC is a useful complementary source on high incomes, in particular when the aim is to measure the size of the economically very well-off group. It also shows that identifying the affluent only on the basis of relative incomes is not sufficient. In a number of countries, many households in the upper tail of the income distribution report having difficulties in making ends meet. [+]
La publication «People in the EU: who are we and how do we live?» s'appuie sur les résultats du recensement de la population et des logements effectué en 2011 dans l'ensemble des États membres de l'Union européenne (UE) et des pays de l'Association européenne de libre échange (AELE). En outre, elle présente un large éventail de statistiques sociales officielles extraites des bases de données d’Eurostat, afin de brosser un tableau détaillé de la population, des ménages et du logement dans l’UE.
La présente publication donne une vue d'ensemble sur un certain nombre de sujets, allant de la situation démographique dans l’UE et ses États membres jusqu'aux structures des ménages et des familles de l'UE, en passant par la mobilité géographique dans l’Union ou le vieillissement croissant de nos sociétés. La publication People in the EU: who are we and how do we live? conclut par un examen des défis démographiques futurs auxquels l'UE pourrait se trouver confrontée dans les années à venir. [+]
Ce dépliant présente les dernières statistiques disponibles sur les conditions de vie dans les pays de l'Est participant à la Politique Européenne de Voisinage (PEV). Les pays PEV de l'Est comprennent l'Arménie, l'Azerbaïdjan, la Biélorussie, la Géorgie, la Moldavie et l'Ukraine. [+]
Quality of life in Europe — facts and views presents different aspects of people's well-being combining for the first time objective indicators with subjective evaluation of individuals' situations and covering various aspects of quality of life. The indicators are analysed together with different elements affecting quality of life such as educational level, activity, health status or family and financial situation. The emphasis in this publication has been placed on the data collected through the 2013 ad-hoc module on subjective well-being, which was added to the statistics on income and living conditions (EU-SILC). Data are presented for the European Union and its Member States as well as for the EFTA countries. Quality of life in Europe — facts and views provides an overview of the wealth of information that is available on Eurostat's website and within its online databases. [+]