Published statistics

Topic Link to webpage Data are published via... First released on

Quarterly registrations and bankruptcies

Monitoring registrations and bankruptcies on a quarterly basis is highly relevant as it provides more up to date and frequent information on the economic environment for businesses than the traditional annual business demography statistics. Especially in 2020, quarterly data can provide useful information on the effects of the COVID-19 pandemic. However, it should be emphasised that the COVID-19 measures were largely experienced only during the last weeks of this quarter in March 2020 – and not during the entire quarter. Quarterly data is particularly important for policy makers when responses are needed due to business cycle developments especially in the current context.
The current publication on quarterly registrations and bankruptcies is the first one published in the domain. It is based on voluntary data collection across EU and EFTA Member States. Eurostat will continue publishing these data on quarterly basis as experimental statistics until 2021 when quarterly registrations and bankruptcies will be covered by EBS regulation as mandatory data collection, with the first delivery of data in May 2021.

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Statistics Explained article

04/11/2020

Income inequality and poverty indicators

The flash estimates on income inequality and poverty indicators are an answer to the policy demand for providing timelier data in the social domain. They measure the yearly changes of main income distribution indicators, including the at-risk-of-poverty rate and the income quintile share ratio. Flash estimates should estimate to the extent possible the values captured in the EU-SILC survey. They are mainly based on microsimulation models which make use of EUROMOD, the tax benefit model at EU level developed by the institute for Social and Economic Research (ISER) at the University of Essex.
Flash estimates have a release date appreciable earlier than the actual data. These can complement the EU-SILC data and feed preliminary discussion and analysis until the final EU-SILC data is released.

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Report

28/09/2017

(last update: 18/09/2020)

Services Trade by Entreprise Characteristics (STEC)

The statistics on Services Trade by Enterprise Characteristics (STEC) provide detailed and timely information on the types of enterprises engaged in international services trade. STEC presents services trade statistics broken down by enterprise size class, enterprise ownership and type of economic activity, and allows the calculation of the exports intensity of enterprises engaged in services trade. Furthermore, STEC statistics show how enterprises in different industries supply services and how this relates to their primary activity.

STEC provides additional information on services trade using already existing data sources at a moderate cost for compilers and at no extra burden on the respondents.

The Eurostat-OECD Compilers Guide for Statistics on Services Trade by Enterprise Characteristics provides recommendations for the methodology on the compilation of STEC statistics.

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Statistics Explained article and Excel file

17/12/2018

Income and consumption: social surveys and national accounts

Income and consumption aggregates drawn from national accounts (macro-level data) describe the situation of households as an institutional unit in the macroeconomic context. Income distribution (from the EU Statistics on Income and Living Conditions, EU-SILC) and consumption data (from the Household Budget Survey), on the other hand, are based on micro-level data and used to measure inequalities in the context of social policies.
Differing concepts and data collection practices mean that the messages from these different sources do not necessarily lead to the same conclusions as regards people’s prosperity. By comparing micro- and macro-level statistics on households, we can understand their complementarities and differences, and build robust links between the data sources.
Social surveys and national accounts are compared as regards household income and consumption by analysing methodological concepts as they apply to data sources and underlying data.

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Excel files and Statistics Explained articles

04/12/2018

QALI, Quality-Adjusted Labour Input

QALI estimates the growth of hours worked (Labour Input) taking into account the quality of the workforce based on experience and skills.
To do so, QALI combines macrodata (from national accounts) and microdata (from surveys EU Labour Force Survey (LFS), EU Structure of Earnings Survey (SES), EU Statistics on Income and Living Conditions (EU-SILC)) and the information provided is more detailed in comparison to when only macrodata are used.
The QALI indicator should be considered as experimental for several reasons: some detailed results can't be published because of confidentiality and reliability of data sources, the definition of employment in LFS differs from that used in national accounts, SES as a four-year survey should be interpolated for the years in between, industry classification has changed in 2008. Moreover, the weighing of hours using earning shares is not an assumption used in core national accounts.
Nevertheless, the approach used to produce the QALI indicator gives a more detailed picture of the input of labour to the production process. QALI is a more suitable method to use in growth accounting analyses as it better explains GDP developments.

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Excel files

04/06/2018

FIGARO, Full international and global accounts for research in input-output analysis

The FIGARO tables are used to evaluate EU policies and assess the position of the EU and the euro area in the world.
They are based on the re-use of available data by Eurostat, using the latest relevant methodological framework in ESA 2010. This ensures the quality of the published data on the national accounts framework.
The FIGARO tables provide experimental EU inter-country supply, use and input-output tables for the reference year 2010 in current prices.
It is experimental because of the asymmetry in EU country's trade data, requiring us to estimate the import uses matrices for each EU member by country of origin.
Other adjustments were needed along the compilation process to balance trade asymmetries and align the trade statistical concepts with those of national accounts (goods sent abroad for processing, re-exports, merchanting activities, etc.).

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Database

30/04/2018

Structure of multinational enterprise groups in the EU

Analysis of and aggregated data tables on the structure of multinational groups in the EU. The analysis is based on data from the EuroGroups Register (EGR) - the central statistical business register used by Eurostat and the EU and EFTA countries' statistical authorities. The EGR covers multinational enterprise groups operating in the EU and provides yearly data on them. EGR data is considered experimental because it is incomplete and not fully accurate.

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Statistics Explained article

29/01/2018

Skills

Skills mismatch indicators should measure the gap between demand and supply of skills as well as conditions of workers, jobs or vacancies. However, currently no official statistics and indicators for measuring skills mismatch exist. We propose therefore ‘over-qualification rate’ (vertical skills mismatch) and ‘job mismatch by field of education’ (horizontal skills mismatch). Both the two indicators are derived by combining available figures using EU Labour Force Survey (EU-LFS).
These statistics are published as experimental statistics because there no general agreement on the way to measure skills mismatch exists. Firstly, it is difficult to compare the supply and demand of labour because the ‘supply’ comes from the side of individual persons and the ‘demand’ from the side of businesses. Secondly, proxies like level and field of educational (supply side) and employment rates /occupation (demand side) need to be used and the use of these proxies could be challenged.

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Excel files

08/08/2017

Income, consumption and wealth

The joint distribution of income, consumption and wealth designates the links and interplay between the three economic dimensions. These data help at describing material well-being and households' economic vulnerability and contribute to explain the dynamics of wealth inequalities. These experimental statistics were produced by Eurostat by merging information coming from different databases so as to obtain a fused dataset containing information on the three dimensions for each observation.

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Database

04/07/2017

Food price monitoring

Food prices are established through transactions between various actors in the food chain (e.g. farmers, food processors, wholesalers, retailers and final consumers). The food price monitoring tool brings together data on price developments in the different steps of the supply chain.
Eurostat has estimated price transmission indicators:  the proportion of the price change at one stage of the food supply chain that is estimated to be transmitted to the next.

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Ad hoc tool

08/06/2017

Labour market transitions

Labour market transition statistics show the movements of individuals between employment, unemployment and economic inactivity.
These statistics present estimated breakdowns (by sex, age and duration of unemployment) that are important to understand the differences in transition probabilities between different groups.

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Database

08/06/2017

World heritage sites

Statistics on UNESCO World Heritage Sites result from a big data project using Wikipedia as a source. Wikipedia articles associated to each site and the total number of page views is taken as a measure of popularity of the sites or a measure of "cultural consumption" of world heritage.

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Publication

08/06/2017