EU-SILC is the most important microdata source for studying income and living conditions across the European Union. In this paper, we study variations between countries with respect to how individual income components are aggregated into the EU-SILC target variables. In particular, we look at co...
EU-SILC is the most important microdata source for studying income and living conditions across the European Union. In this paper, we study variations between countries with respect to how individual income components are aggregated into the EU-SILC target variables. In particular, we look at compliance with Eurostat guidelines, misclassifications and omitted income sources, all potentially undermining cross-national comparability. On the basis of a survey among national statistical institutes, we compiled a database which maps the exact classification of income components onto the EU-SILC target variables. The focus of the database is on EU-SILC 2015, covering 26 EU-SILC countries. The database contains information on the composition of variables on total income before and after transfers; income from benefits, work and capital; social contributions and taxes. As a result of this exercise, we outline some general conclusions with regard to (1) cross-national deviations with regard to the calculation of the EU-SILC total income variables; (2) the classification of national income components (e.g. particular benefits) that can be considered ‘borderline cases’ which are currently classified inconsistently across countries; (3) possibilities for improving the definition of target variables; (4) the (unjustified) omission of some income components from EU-SILC target variables; (5) recommendations that may be helpful to improve the comparability of EU-SILC in the future.
The Atlas is structured around three key sections, each with a distinct focus. The first presents data on a series of thematic areas across all 28 EU Member States. The second adopts a broader view by showcasing the most complete data available across 44 selected countries with migration connect...
The Atlas is structured around three key sections, each with a distinct focus. The first presents data on a series of thematic areas across all 28 EU Member States. The second adopts a broader view by showcasing the most complete data available across 44 selected countries with migration connections with Europe, situating the EU within its global migratory context. The third and final section focuses on the issue of forced displacement in Africa, presenting details and trends on this particularly pressing question for Europe’s neighbours. The topic to address in the third section will change each year. In addition, each section is accompanied by a How to Read guide to interpret the datasets and a Technical Note with more detailed information on sources, definitions and further details, including the date of last update for the datasets in the Atlas.
National figures cannot reveal the full and sometimes complex picture of what is happening within the European Union (EU). Statistical information at a subnational level – for particular regions or for cities – is an important tool for highlighting diversity within the Member States. Such inform...
National figures cannot reveal the full and sometimes complex picture of what is happening within the European Union (EU). Statistical information at a subnational level – for particular regions or for cities – is an important tool for highlighting diversity within the Member States. Such information helps to analyse changing patterns and the impact that policy decisions can have on our daily life.
The Cape Town Global Action Plan for Sustainable Development Data subscribed in 2017 at the first World Data Forum highlights the need of National Statistical Offices (NSOs) to adapt to evolving demands. This need is triggered by all kinds of decision-makers, specially from governments under con...
The Cape Town Global Action Plan for Sustainable Development Data subscribed in 2017 at the first World Data Forum highlights the need of National Statistical Offices (NSOs) to adapt to evolving demands. This need is triggered by all kinds of decision-makers, specially from governments under constant pressures to deliver focused, tailored and timely solutions. Based on a classification framework adapted from the e-governance concept, this document takes stock of various international, regional and local initiatives thought to aid or monitor government actions and that are granting access to and use of non-traditional data sources. These are citizens to government data partnerships, that use technologies like open geospatial information platforms and can complement surveys and traditional censuses in the official statistics data stream, with special focus in demographic and social statistics. Recommendations will address the question of how civil society NGOs can strengthen their general capacities inside the statistical production processes to effectively support NSOs through collaboration projects at national and international levels.
This short guide presents the latest data available for the European Union (EU) and the European Neighbourhood Policy-South (ENP-South) countries. The ENP-South region covers 10 non-EU Mediterranean countries: Algeria, Egypt, Israel, Jordan, Lebanon, Libya, Morocco, Palestine (this designation s...
This short guide presents the latest data available for the European Union (EU) and the European Neighbourhood Policy-South (ENP-South) countries. The ENP-South region covers 10 non-EU Mediterranean countries: Algeria, Egypt, Israel, Jordan, Lebanon, Libya, Morocco, Palestine (this designation shall not be construed as recognition of a State of Palestine and is without prejudice to the individual positions of the Member States on this issue), Syria and Tunisia; note that ENP-South activities with Syria are currently suspended. Through the ENP, the EU offers its neighbours a relationship, built upon a mutual commitment to common values (democracy and human rights, rule of law, good governance, market economy principles and sustainable development).
This short guide shows information for the EU, the euro area, the EU Member States and the EFTA countries. In an effort to give readers a better overview of the data available in the Eurostat database, each edition of Basic figures on the EU introduces a set of alternating indicators. In this ed...
This short guide shows information for the EU, the euro area, the EU Member States and the EFTA countries. In an effort to give readers a better overview of the data available in the Eurostat database, each edition of Basic figures on the EU introduces a set of alternating indicators. In this edition they are ‘Persons employed in services' and ‘Households by NUTS 2 regions with broadband access at home'.
The idea of associating a monetary value with human life is very challenging and can seem insensitive or harsh. Life is indeed priceless, at least when considered from the complex perspective of an individual. However, policy makers are regularly devising policies and regulations that affect peo...
The idea of associating a monetary value with human life is very challenging and can seem insensitive or harsh. Life is indeed priceless, at least when considered from the complex perspective of an individual. However, policy makers are regularly devising policies and regulations that affect people’s risk of death and that seek to protect lives in society, and require methodologies for comparing the costs of reducing risk with the expected benefits in terms of lives saved. The analysis presented in this report will help policy makers get a better measure of such benefits. The report takes stock of surveys from around the world where people have been asked about their willingness to pay for a small reduction in mortality risk, and analyses the variation in the estimates resulting from differences in study designs (including the way risk changes are displayed), characteristics of risk (type and size of risk changes, baseline risks, etc.), socio-economic characteristics (age, income, gender, health status, etc.), and other variables. The report offers guidance on how the findings of the analysis can be included in future assessments of policies that affect mortality risks. Such assessments will need to take into account the income level in the given country, as well as characteristics of the risk change in question and the population affected by it. Such guidance will help to improve the information base upon which important decisions are taken on mortality risks faced by society.
At the very heart of a changing society lies the number and composition of its members. Population growth has shaped the EU over recent decades and now its population is ageing. The slow-moving shift towards longer-living, lower-fertility, higher-educated societies brings the EU to new demograph...
At the very heart of a changing society lies the number and composition of its members. Population growth has shaped the EU over recent decades and now its population is ageing. The slow-moving shift towards longer-living, lower-fertility, higher-educated societies brings the EU to new demographic frontiers, as it does in North America and East Asia. Facing these developments naturally prompts the questions: Who will live and work in Europe in the coming decades? How many, and with what skills? To answer these, we consider key factors that will influence European demographics over the coming decades.
Without international migration the EU28 population by 2060 would be reduced by 76 million people, with a higher median age. This study explores how much EU28 and members states long-term economic growth would be affected in case there would not be international migration to the EU28 countries f...
Without international migration the EU28 population by 2060 would be reduced by 76 million people, with a higher median age. This study explores how much EU28 and members states long-term economic growth would be affected in case there would not be international migration to the EU28 countries from now to the year 2060.
