Welcome To Statistics Explained

Statistics Explained, your guide to European statistics. Statistics Explained is an official Eurostat website presenting statistical topics in an easily understandable way. Together, the articles make up an encyclopedia of European statistics for everyone, completed by a statistical glossary clarifying all terms used and by numerous links to further information and the latest data and metadata, a portal for occasional and regular users.

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New / updated articles

This article focuses on the most significant goods by value (according to the CPA classification) exchanged in intra-EU trade. It presents statistics for the EU-28, EU-27, EU-25, EU-15 and EU-12 aggregates for the years 2013, 2012, 2006, 2004 and 1994 respectively. Statistics on goods traded between EU Member States — especially the size and evolution of imports and exports — enable the EU and national authorities to evaluate the growth of the Single Market and the integration of EU economies. More ...
This article is part of a set of statistical articles for monitoring sustainable development, which are based on the Eurostat publication 'Sustainable development in the European Union - 2015 monitoring report of the EU sustainable development strategy'. The report is published every two years and provides an overview of progress towards the goals and objectives set in the EU sustainable development strategy. More ...
This article focuses on trade and production of products identified as being of high-technology. The high-tech products are divided into 9 groups according to the Standard International Trade Classification (SITC — Rev. 4): Aerospace, computers & office machines, electronics-telecommunications, pharmacy, scientific instruments, electrical machinery, chemistry, non-electrical machinery and armament. More ...
Unemployment statistics
Updated 01/09/2015
This article presents the very latest unemployment figures for the European Union (EU), the euro area and individual Member States, complemented by an overview of long-term developments since the year 2000. Unemployment levels and rates move in a cyclical manner, largely related to the general business cycle. However, other factors such as labour market policies and demographic developments may also influence the short and long-term evolution. More ...
This article presents recent data on both the geographical and sectoral aspects of the maritime economy of the European Union (EU). The maritime economy is now often referred to as the ‘blue economy’. It covers all marketable activities linked to the sea. More ...
Inflation in the euro area
Updated 31/08/2015
The data in this article show the most recent annual rates of change for the euro area headline inflation and its main components issued by Eurostat. The figures presented are early estimates of euro area inflation. More ...

Did you know that....

On average, a girl born in the EU-28 in 2012 could expect to live 83.1 years, while the corresponding life expectancy at birth for a newly-born boy was 5.6 years lower, at 77.5 years. Read more...

Focus on

Gender pay gap statistics
The unadjusted gender pay gap, 2013 (1) - difference between average gross hourly earnings of male and female employees as % of male gross earnings.png
This article shows how gender inequalities in terms of pay vary widely among the Member States of the European Union (EU) and among groups of employees.

The unadjusted gender pay pap (GPG) is an important indicator used within the European employment strategy (EES) to monitor imbalances in wages between men and women. It is defined as the difference between the average gross hourly earnings of men and women expressed as a percentage of the average gross hourly earnings of men.

Main statistical findings

Gender pay gap levels

The gender pay gap varies significantly across EU Member States

For the economy as a whole[1], in 2013, women's gross hourly earnings were on average 16.4 % below those of men in the European Union (EU-28) and 16.6 % in the euro area (EA-17). Across Member States, the gender pay gap varied by 26.7 percentage points, ranging from 3.2 % in Slovenia to 29.9 % in Estonia (Figure 1).

More ...
  1. Here defined as industry, construction and services except public administration and defence and compulsory social security: NACE Rev. 2 Sections B to S with the exception of Section O.

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