BannerExperimental statistics use new data sources and methods in an effort to better respond to our users' needs. Eurostat has published the following data as experimental statistics:

EU inter country supply, use and input-output tables
Food price monitoring
Income & consumption: social surveys and national accounts
Income, consumption and wealth
Income inequality and poverty indicators
Labour market transitions
Multinational enterprise groups
Quality-adjusted labour input
Quarterly enterprise registrations and bankruptcies
Services trade by enterprise characteristics
Skills mismatch
World heritage sites

As these statistics have not reached full maturity in terms of harmonisation, coverage or methodology, they are always marked with a clearly visible logo and accompanied by detailed methodological notes. Explore the dedicated section and use the ‘Send us a message’ function (available in each sub-section) to give us your feedback on how to improve our experimental statistics. [+]

CoverEnergy, transport and environment statistics — 2020 edition

The multi-thematic statistical book Energy, transport and environment statistics comprises a broad set of data collected by Eurostat. It presents the EU’s main indicators for energy, transport and environment that support the design and monitoring of EU policies. The publication provides data for the European Union and its Member States, while some indicators include also data for the EFTA countries, and candidate countries and potential candidates to the EU. [+]

CoverGovernment finance statistics — Summary tables — volume 2/2020

The tables in this publication present government finance statistics (GFS) data by Member State, for the European Union, for the euro area as well as for the United Kingdom, Iceland, Norway and Switzerland. The GFS presentation shows, in an integrated way: government revenue, government expenditure, government deficit, transactions in assets and in liabilities, other economic flows, and balance sheets. It gives a clear picture of the links between these data. The publication is intended primarily for national governments, Central Banks, economic analysts and academics with an interest in government finance, although it could also be of interest to the wider public. The value-added in comparison with other publications is to give an overview of government finances from several angles with consistent information. The publication covers data since 1995. [+]

CoverPeople on the move — Statistics on mobility in Europe — 2020 edition

People in today’s Europe are on the move much more than ever before. This mobility can be viewed from many angles, as there are many reasons for moving: migration, education, work or tourism… This digital publication People on the move — Statistics on mobility in Europe shows the latest figures on these movements of people in Europe in many different ways, with a focus on people and not on goods.

Throughout the publication, brief descriptions of the main findings are completed with interactive visualisations, where you can compare your country with other countries. This publication is aimed at those who would like to have an overview of migration trends, working and studying abroad, transport and tourism in the EU in an easy and interactive way. [+]

CoverTechnical compilation guide for pension data in national accounts — 2020 edition

The European Commission (Eurostat) and the ECB have released the updated Technical Compilation Guide for Pension Data in National Accounts. The Guide, produced by the two institutions, is a handbook for compilers and users of data on pension schemes in social insurance. It aims at supporting National Statistical Institutes, Central banks and other compilers within the European Union, to derive position and flow data for pension entitlements. The guide is also a useful tool to help users to understand the data. [+]

CoverEurostatistics — Data for short-term economic analysis — 2020 edition — 06/2020

Eurostatistics — Data for short-term economic analysis — shows the evolution of the economic activity in the European Union, euro area and Member States. This monthly review gives a synthetic picture of the macroeconomic situation in the recent past. It is based on Principal European Economic Indicators (PEEIs), complemented by some business cycle indicators. [+]

CoverBasic figures on the EU — Second quarter 2020

The quarterly series 'Basic figures on the EU' presents the freshest Eurostat data on a small number of key indicators in the economic, social and environmental fields. 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. The same content is available in a compact printed leaflet.  [+]

CoverThe EU in the world — 2020 edition

This publication, published every second year, provides a statistical portrait of the European Union (EU) in relation to the rest of the world. It presents a broad range of indicators for the EU and the non-EU members of the Group of Twenty (G20). It is structured into three parts: people and society — population, health, education and training, labour market, living conditions, as well as digital society; economy and business— economy and finance, international trade, business, as well as research and development; environment and natural resources— transport, energy, environment, as well as agriculture, forestry and fisheries. [+]

CoverNew methods for timely estimates — 2020 edition

The paper examines the out-of-sample forecasting performance of mixed-frequency pVAR models for four key macroeconomic variables using data from four European economies, with the goal of providing evidence on the usefulness and reliability of these models for use by official statistical agencies. [+]

CoverNew methods for timely estimates: Nowcasting euro area GDP growth using quantile regression — 2020 edition

In this paper we are discussing the possibility of using quantile regression models to provide nowcasting and short-term forecasts for macroeconomic variables. The method is then applied to produce density nowcasting of euro area and GDP comparing them with the results obtained by using a combination density approach. [+]

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