European Statistical Recovery Dashboard: April edition

Today, Eurostat released the April edition of the interactive European Statistical Recovery Dashboard.

The dashboard contains monthly and quarterly indicators from a number of statistical areas relevant to tracking the economic and social recovery from the COVID-19 pandemic, across countries and time.

April highlights: The EU as a whole shows no excess mortality, industrial production increases and the euro area’s inflation rate falls

For the first time since February 2020, prior to the pandemic, there was no excess mortality in the EU as a whole in February 2023. Additionally, two-thirds of the EU's Member States showed no excess mortality during that month. 

EU industrial production continued to increase at a faster pace and the unemployment rate decreased slightly, while retail trade declined in February 2023. In the previous month, EU production in services rebounded slightly after three consecutive monthly declines. EU industrial production, production in services and retail trade remained above their pre-pandemic levels, while the unemployment rate stayed below.

The inflation rate showed signs of a further fall across EU Member States in March 2023, due to a fall in energy prices. According to Eurostat's flash estimate, the euro area's annual inflation rate is expected to decrease sharply to 6.9% in March 2023.

In the same month, EU economic sentiment weakened slightly, decreasing further below its pre-pandemic level. The decrease of the Economic Sentiment Indicator was the result of slightly lower confidence in the industry, retail trade and construction sectors, while confidence in services and among consumers remained stable.

You can read the full analysis by clicking “Eurostat commentary” on the dashboard’s header. The dashboard is updated every month with the latest available data for each indicator.

The line charts in the dashboard offer many functionalities to easily explore and analyse the development of the indicators, such as displaying a longer time series, comparing several countries, downloading the customised chart or the source dataset.