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Poland is a high-income country with a large and diversified domestic economy. Poland successfully managed its integration into the European Union since joining in 2004, and during the 2008-09 global financial crises it was the only member to experience growth. Poland is a high-income country with a large and diversified domestic economy.

The country covers an area of 312,696 km 2 and has a population of approximately 38 million (2020) people. Poland is vulnerable to the impacts of climate change such as increase in the frequency of extreme weather events including floods, droughts and hurricanes, sea level rise, increase in temperature and precipitation, which pose significant ...

Poland - A Development Success Story. March 21, 2017. Poland moved from middle to high-income status in less than 15 years. How did the country do this? What lessons does this remarkable success offer to others, and what insights can the country gain for its future?

This page presents Poland's climate context for the current climatology, 1991-2020, derived from observed, historical data. Information should be used to build a strong understanding of current climate conditions in order to appreciate future climate scenarios and projected change. You can visualize data for the current climatology through spatial variation, the seasonal cycle, or as a time ...

Poland is a development success story. However, the country’s regions face wide-ranging challenges. Therefore, Poland has been selected to participate in the “Catching-Up Regions” project, initiated by the European Commission in 2016. These World Bank reports give an overview of the key results of this initiative in Poland.

Finally, Poland’s demographic evolution needs to be seen in the broader global context. Aging is a Europe-wide phenomenon. In the EU as a whole, the median age is projected to increase from 38 to 52 by 2050, the working age population to decline by 48 million, and the elderly population to increase by 58 million. ...

This page presents Poland's projected climate. Data is shown as either the projected mean or anomaly (change) and is presented spatially, as a seasonal cycle, time series, or heatplot, which shows seasonal change over long-term time horizons. We offer a range of variables at both national and sub-national aggregations. Data can be analyzed as annual or seasonal; monthly data is available in ...