NASA’s night lights imagery published in the Earth Observatory provides a stunning view of our impact on the planet. The following map of Europe at night is an extract of my gridded population projection of the the Earth at night showing more detail of where the distribution of night lights is on the European continent in relation to its population distribution (the surrounding areas such as the northern tip of Africa remain unchanged, hence shows a ‘normal’ land area perspective). Europe is one of the few regions globally (alongside North America) where light pollution at night is very much a phenomenon that is ‘normal’ for the vast majority of people who see very little of the night skies (hence the dominantly bright areas in this image – dark spots are those areas where people live with very little light pollutin). Northumberland Dark Sky Park (which gained Dark Sky Status by the International Dark-Sky Association in December 2013) is now to be known as Europe’s biggest Dark Sky Park and the largest unspoilt area in this regard, squeezed in the sparsely populated bright spaces between Northern England and Southern Scotland in this cartogram:
Although the 2014 Paralympics started in the middle of the turmoil of the ongoing political crisis in the Ukraine, they went by rather smoothly in the end as most politically controversial tend to do. Putting politics aside, the Russian dominance that already became apparent at the Olympics (see this map) was even greater: The final medal count saw Russia at top of the table with not only the most medals (80), but also most gold (30), silver (28) and bronze (22). Germany came second with 15 medals (9 of them gold), closely followed by Canada with 16 medals (but only 7 gold which put them in third place in the rankings). Second-most medals, however, were won by Ukraine which is an peculiar detail given the current political situation. Britain won the first gold medal ever at the Paralympic winter games, and 19 nations managed to win at least one medal. Here is the Worldmapper-style view of all medals, showing the countries of the world resized according to their total medals won at the 2014 Winter Paralympics (as well as the individual success in each medal category):
As shown previously on this website, unequal living conditions are one of the defining social problems of contemporary crisis-battered Europe. This weekend I attended the RondaForum 2014, Southern Europe’s forum on entrepreneurship and education, where this issue was discussed amongst young people from around the world who were seeking for new ideas to bridge the gap between the often bleak realities of Europe’s youth and the aspirations that are needed to create a sustainable basis for future competitiveness and growth. How big that problem really is amongst Europe’s youth can be seen from a look at the change in youth unemployment over the course of the financial crisis. Much of Europe’s youth is now being referred to as the lost generation, and in almost every European country youth unemployment has increased considerably between 2007 and 2012, as the following two maps show. They show the countries of Europe resized according to their absolute increase/decline in youth unemployment in these five years, with only Germany having a significant decline in youth employment in that period. Amongst those countries having a considerable increase, especially Southern Europe is standing out showing the growing North-South divide of the continent that highlight the challenges that initiatives such as the European Union’s Europe 2020 growth strategy face:
The politically controversial 2014 Winter Olympics in Sochi (Russia) are history. What’s left as a legacy beyond the politics is the usual roundup of where the medals went and which nations managed to surprise or disappoint. The final medal count saw Russia being top of the table with not only the most medals (33), but also most gold (11) and silver (11). 26 nations managed to win at least one medal. Here is the Worldmapper-style view of all medals, showing the countries of the world resized according to their total medals won at the 2014 Winter Olympics (as well as the individual success in each medal category):
Income inequality has become a wider acknowledged issue in the wealthy parts of the world which is no longer restricted to academic debate. A study commissioned by the IMF (Berg et al, 2011) acknowledges that “the trade-off between efficiency and equality may not exist” (IMF), referring to inequality one possible result of unsustainable growth. Europe has seen a steep rise in economic inequalities which have a huge impact of the people in the European nations. An OECD working paper (Bonesmo Fredriksen, 2012) states that “poor growth performance over the past decades in Europe has increased concerns for rising income dispersion and social exclusion”. It also concludes, that “towards the end of the 2000s the income distribution in Europe was more unequal than in the average OECD country, albeit notably less so than in the United States”, stressing that within-country inequalities are just as important if not more important than the between-country dimension. Both, however, are relevant in the current economic crisis and the again-growing divisions on the continent. As one of the reasons for these changes, the OECD paper states that “large income gains among the 10% top earners appear to be a main driver behind this evolution”.
The following two maps compare the share of income of the richest and poorest 10% of the population in Europe based on national-level data published by Eurostat (2013) (map legend ranked by quartiles). To show the data from a people’s perspective, the map uses a population cartogram as a base which shows the countries resized according to their absolute population. The maps give a look at how disparities exist not only between the countries, but also within each of them by showing, how (un)equal the distribution of income is in every country:
The Eurovision song contest voting patterns is a popular theme for the analysis of European identity and culture. In an article for the “In Focus” section of Political Insight (September 2013, Volume 4, Issue 2) Dimitris Ballas, Danny Dorling and I looked at the voting patterns of this year’s contest that was held in Malmö (Sweden). It has long been argued that there are clear patterns based on geographical region as well as cultural and linguistic bonds and there has typically been labelling of groups of countries that give their votes to each other as ‘blocs’ such as the ‘Scandinavian bloc’, the ‘Mediterranean’, ‘Western’, ‘Eastern’, ‘Scandinavian’, the ‘Balkan’ bloc etc. It can also be argued that political considerations may also affect these voting patterns and this may be particularly interesting in the recent Eurovision song context with voting patterns possibly influenced by the on-going political and economic crisis in the European Union (EU). This map series puts a focus on those countries being closely associated with the EU, either by being current members or official candidate member states (or official potential candidate for EU accession) and/or signed up to any of the following agreements: European Economic Area, the Schengen Zone, the European Monetary Union. The maps are based on European states that currently meet at least one of these criteria, leaving the remaining participants of the song contest aside.