Home - Eurostat Home Welcome to Eurostat The home of high-quality statistics and data on Europe Learn more about us EU key indicators Skip the carousel Explore data & tools Database Statistical themes Interactive publications Data visualisations Latest news View all Asset Publisher © Federico Rostagno/Shutterstock.com EU ports handled 3.4 bn tonnes of freight in 2024 4 December 2025 © Gorodenkoff/Shutterstock.com EU spending on R&D exceeded €403 billion in 2024 © insta_photos/stock.adobe.com Save the date: webinar on housing statistics © Drazen/stock.adobe.com Volume of retail trade stable in the euro area © teamjackson/stock.adobe.com 80% of EU enterprises report global value chain constraints 3 December 2025 © Jenny Sturm/stock.adobe.com Find out more about people with disabilities in the EU © wi6995/Shutterstock.com Industrial producer prices up by 0.1% in the euro area © batuhan toker/stock.adobe.com 25% of fatal work accidents happened in public areas 2 December 2025 Quick access Release calendar Statistics Explained Podcasts
How Big Data Carried Graph Theory Into New Dimensions 5 Awesome Free Data Analysis Tools: Extract, Clean, and Share Your Data 05.01.2016 by Marisa Krystian Data analysis is the process of cleaning, inspecting, transforming, and modeling data in order to uncover useful information. Data analysis can be tricky! But, with these five free online tools, you’ll be able to clean up, search, share, extract, and convert data with ease. Mr. Mr. Wolfram Alpha This amazing ‘knowledge’ engine brings you broad, deep, expert-level information in an instant. Import.io Import.io makes advanced web data extraction easy, by turning websites into spreadsheets! Panda Project Panda Project makes data journalism easier than ever. OpenRefine OpenRefine is an open source tool for cleaning up messy data. While it’s true these tools make data analysis easier, it is important to note that they are only as valuable as the information you put in and the analysis you conduct. Once your data is ready, you can use data visualization tools like Infogr.am to bring it to life.
Women & The Economy - Globalization & Women's Work From losing good government jobs, to less access to unionized jobs, to being left to pick up the slack when social services are no longer available, women are having a tough time coping with the reality of economic globalization. Women's experiences of both paid and unpaid work have been affected by this growing trend. More often than not economic globalization has led to increased workloads, lower pay, and more stress. Economic globalization has meant that many companies are cutting costs. Downsizing affects women's home lives as well. The public sector has not been immune from the trend towards corporate downsizing. Reducing public services also affects women's unpaid work as they are forced to pick up the slack that the public sector leaves out. Women also find jobs in an even tougher job market and are willing to work for lower pay when that's all they can find. Unions have always worked hard to protect women in the workplace.
The World Bank - Statistik World Development Indicators 2016 World Development Indicators (WDI) publication is a collection of time-series data for 214 economies, with many indicators going back more than 50 years. WDI provides cross-country comparable statistics about development and people’s lives around the globe. It is divided into six sections – World View, People, Environment, Economy, States and Markets, and Global Links. New online tables, previously published in the book, are now available from wdi.worldbank.org/tables and they provide data from the most up-to-date database. Learn more International Debt Statistics 2016 Focuses on financial flows, trends in external debt, and other major financial indicators for developing and advanced economies (data from Quarterly External Debt Statistics and Quarterly Public Sector Debt databases). Atlas of Global Development, Fourth Edition: A Visual Guide to the World’s Greatest Challenges Data Visualization Tools: Data Visualizer Bubble Chart Check out Data Visualizer
Data and Documentation | European Social Survey (ESS) The ESS covers a wide range of topics, organised in core and rotating modules. You can access data and documentation for each topic from the table below. If you are interested in a specific country, the table below gives you access to data and documentation for any of the 36 countries that have taken part so far. Our Online Analysis tool allows you to analyse data from a specific ESS round without leaving your browser Use the Wizard to customise and download a cumulative data file for the rounds (years), countries and variables you are interested in Put ESS data in context by analysing it alongside region- and country-level data from other sources, either online or via a customised data file The Cross-National Online Survey (CRONOS) is a pilot web panel recruited on the back of ESS Round 8 in three countries. Media claims data provides systematic information about context, as reported in national media outlets, at the time of the data collection for ESS Rounds 6, 7 and 8
How to become data literate and support a data-driven culture - Compact Despite the growing possibilities to collect, store, report and analyze data, organizations still struggle to transform their businesses. Business value needs to be unlocked from data; businesses need to address their growth, risk and cost strategies to truly enable employees and create the fundamental value they need to ‘talk’ data and become more data-literate. Introduction Digital transformation is the name of the game these days for many organizations. This is founded in a wide and impressive range of new (information and communication) technologies that have a growing impact on business outcomes ([John18]). However, while most organizations focus on the potential of data-driven technologies (like data lakes, data platforms and incorporating artificial intelligence or machine learning), the technologies must be carefully cultivated to become a trusted core capability. Data Literacy Figure 1. Understand In order to start working with data, you need to be able to understand the data.
The Unofficial Google Data Science Blog For What it’s Worth: The True Value of Unpaid Labor and Volunteerism | Wise Women It’s tax time. Everyone is busy sorting through receipts, itemizing deductions and preparing to pay income taxes. It’s a time when we seem to place a monetary value on everything we’ve done throughout the year. Everyone employed outside the home will receive a W2 form from his/her employer calculating the value of hours spent performing their duties. It’s a little trickier for those of us who are self-employed; we must provide receipts to establish the value of our labor. It might surprise you to know that the Canadian government estimates the value of unpaid labor performed in Canada to be $319 billion and $11 trillion worldwide. The Organisation for Economic Cooperation and Development (OECD) located in France routinely monitors unpaid labor in an effort to explain how we live in individual and world societies. Why are these figures important? their days performing these unpaid tasks. What about volunteer work? What about the value of unpaid work and volunteerism in the South Hills?
Our World in Data Great Britain Historical Documentation System/Home Page Available Parts: Information about Economic Distress and Labour Markets: The database includes a wide range of indicators of economic distress, most obviously unemployment and Poor Law statistics but also 'Small Debt Plaints' and the marriage rate. This is the oldest part of the GBH database, being based on the earlier Labour Markets Database (LMDB) funded by the Leverhulme Trust in 1989-91, and including some data from earlier research by Humphrey Southall in the late 1970s and early 1980s. Information about Health and Health Care: This part of the database includes a large body of data on mortality, taken from the various reports of the Registrar General. Development of this area of the database is supported by funding from the Wellcome Trust. Information from the Census of Population since 1801: Supporting information, including changing geographies: This part of the database contains information which aids interpretation of the other parts.