OECD eXplorer for regions globally and “statistical story telling” (beta version)

This is a very interesting application integrating visualisation and statistical story telling, beta version. Comments mailto:Lars.THYGESEN@oecd.org
See this about how you can create a story yourself.

In recent years, regional development issues have returned to the policy agenda of many OECD countries. Higher integration driven by institutional processes (e.g. European Union, World Trade Organisation) and economic trends (i.e. globalisation) is eroding national borders and creating competition along regional lines in the world market. At the same time, the persistence of significant regional disparities challenges countries’ capacity to promote economic growth while ensuring social cohesion.

The OECD regional database is a unique source of statistical information at subnational level for all the OECD Countries: It contains yearly time-series for around 40 indicators on demographic, economic, social, labour market and innovation themes, for around 1,700 regions of the OECD countries. Regions within each country are classified on two territorial levels. The higher level (TL2) consists of 335 large regions. This classification facilitates greater comparability of regions at the same territorial level.

The complete dataset and further information can be found at the OECD Statistics Portal.



One thought on “OECD eXplorer for regions globally and “statistical story telling” (beta version)

  1. Visualisation of statistical data on the web has become more than a fast and easily accessible eye catcher to attract people and to make them familiar with statistics.

    This overwhelming eXplorer is a scientific tool to analyse data in an interactive way and it is made for people who – until now – used their desktop tools to do so. First the availability of good data (thanks to OECD work) and then the elaborate Flash tool from the Swedish National Center for Visual Analytics (NCVA) open new possibilities.

    I made some tests with several data sets, I even found out how to create and reload a story and I was more and more convinced that such a tool is an excellent instrument for a specially interested public.
    I will go on testing it for countrty specific data and creating some stories.

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