Estadísticas de la UE. CDE Universitat de València

CoverEnergy and transport statistics for the enlargement countries — 2018 edition

This leaflet presents the freshest data on energy and transport for the candidate countries and potential candidates. [+]

CoverA decomposition of the unadjusted gender pay gap using Structure of Earnings Survey data

This publication provides information on the data source, the methodology and statistical software used by Eurostat to decompose the unadjusted gender pay gap, and the results of this decomposition. The unadjusted gender pay gap combines possible differences in pay between men and women, for ‘equal work or work of equal value’, with the impact of differences in the average characteristics of men and women in the labour market. To measure the impact of differences in the average characteristics of men and women, Eurostat has used microdata from the Structure of Earnings Survey 2014. A statistical method known as the Blinder-Oaxaca decomposition method was applied on this dataset to isolate the contribution of each observed characteristic to the unadjusted gender pay gap. Eurostat’s methodology and results should help data users and policy makers to better interpret the unadjusted gender pay gap. [+]

 

CoverEuropean statistics Code of Practice — revised edition 2017

The European Statistics Code of Practice was first adopted by the Statistical Programme Committee (SPC) in 2005. The Code was revised by the European Statistical System Committee (ESSC) in 2011 and 2017; the ESSC endorsed the latter revision on 16 November 2017. The revised Code has 16 principles concerning the institutional environment, statistical processes and statistical outputs. The Code aims to ensure that statistics produced within the European Statistical System (ESS) are relevant, timely and accurate, and that they comply with the principles of professional independence, impartiality and objectivity. A set of indicators of best practices and standards for each principle provides guidance and a reference for reviewing the implementation of the Code. We are currently working on the other language versions and they will become available shortly. [+]

CoverHandbook on Seasonal Adjustment

Seasonal variation is one of the key factors, if not the key factor, that can impact the analysis of times series. In order to derive a meaningful analysis of the data under consideration, this seasonality has to be taken into account and adjusted for. The purpose of this handbook is to take stock of the existing techniques for seasonal adjustment and to propose amendments to the conventionally used methods. [+]

CoverMethodologies used in road freight transport in Member States, EFTA and Candidate countries — Revised — 2017 edition

The present document describes the methods used by Member States, candidate and EFTA countries in their surveys on road freight transport statistics. Part I describes national methodologies for data collection. This information is based on questionnaires completed by the reporting countries. Data in these questionnaires refer to the first quarter of 2016. Part II includes summary tables, with the basic information on sampling, response rate, register quality and precision of results of the surveys. Data on the registers used to draw the sample and the sampling methodology are relevant for the surveys conducted in the first quarter of 2016, while the main characteristics given for each country refer to the years 2014 and 2015, according to data availability. ‘Methodologies used in surveys of road freight transport in Member States, EFTA and Candidate Countries’ is published in English only. [+]

CoverQuality report of the second wave of the European Health Interview survey

The purpose of this quality report is to provide the users of the European Union Health Statistics with a tool for assessing the quality of these statistics which are based on the European Union Health Interview Survey (EHIS). The report provides a description of the methodology of the second wave of EHIS and an overview of the survey implementation by ESS countries between 2013 and 2015. This is followed by a presentation and discussion of the main quality indicators for EHIS wave 2 which, in this report, are: instruments and characteristics of quality management, accuracy and reliability of the survey sampling, timeliness and punctuality of the survey implementation and dissemination, and comparability and coherence of the survey results. The lessons learned can be used for the next round of EHIS wave 3 that will take place in ESS countries between 2018 and 2020. [+]

CoverQuality report on National and Regional Accounts — 2016 data

This document presents the Eurostat’s assessment of quality of national and regional accounts for the year 2016 transmitted by the EU Member States, Iceland, Norway and Switzerland as well as quality information on own publications of European aggregates. The quality assessment was carried out in accordance with Regulation (EU) No 549/2013 and represents the first assessment since the start of data transmission according to the European System of Accounts (ESA 2010) on 1 September 2014. Data transmitted in 2016 were in broad terms in line with the ESS quality standards and the ESA 2010 requirements. Many Member States coped relatively well with the new data requirements and methodology even if the process of adaptation of national data compilation system continues by 2020. [+]

CoverEurostatistics — Data for short term economic analysis — Issue No 5/2018

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. [+]

CoverMonitoring EU crime policies using the International Classification of Crime for Statistical Purposes (ICCS)

Eurostat countries are dealing with different legal concepts and traditions, different criminal justice systems and laws as well as different definitions, methodologies, and instruments to collect crime data. All these differences limit the comparability of crime statistics across Europe. Implementing a common classification of offences such as the International Classification of Crime for Statistical Purposes (ICCS) will strengthen the comparability and consistency of crime and criminal justice data and improve analytical capabilities at national, European, and international levels. Implementation steps already undertaken by Eurostat include using ICCS categories in the joint UNODC/Eurostat data collection and publishing data on criminal offences according to ICCS categories. The next goal is for Eurostat countries to implement the ICCS in the production of crime statistics on national level. [+]

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