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Convergence Monitoring Hub

Eurofound monitors four dimensions of convergence: The social dimension (including issues like poverty and youth unemployment), the economic dimension (including issues like GDP per capita and income inequality), the institutional dimension (including issues like government effectiveness and the rule of law) and the environmental dimension (covering issues like greenhouse gas emissions and recycling).

To measure social convergence, Eurofound monitors the following indicators: the at-risk-of-poverty or social exclusion (AROPE) rate; the employment rate; the rate of young people not in employment, education or training (NEET); EIGE's Gender Equality Index.

Overall, there was no significant catching-up process among the EU Member States in their at-risk-of-poverty (AROP) rate from 2005 to 2021. Additionally, the average AROP rate increased with a lagged effect in the years following the financial and economic crisis of 2008–2013. As the standard deviation from the EU mean decreased, there was overall downward sigma convergence. This means that in terms of the at-risk-of-poverty rate, Member States came to resemble each other more but also performed worse. Both disparities between countries and the EU average at-risk-of-poverty rate increased between 2020 and 2021, indicating that there is a risk of COVID-19 exacerbating inequalities. 

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At-risk-of-poverty rate, 2005–2021

The chart below depicts at-risk-of-poverty rates in the EU27. It shows the annual average for: the EU, the 3 best performers and the 3 lowest performers, as well as some example countries.

Source: Eurostat, tessi010

Identifier: OCFIt
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At-risk-of-poverty rate, 2005–2021

Unweighted EU average

Source: Eurostat, tessi010

Identifier: YCLOJ
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At-risk-of-poverty rate, 2005–2021

Standard deviation

Source: Eurostat, tessi010

Identifier: XsZ1B

The employment rate reacted negatively to the financial and economic crisis, with disparities between EU Member States increasing and the EU average decreasing. However, there has been a consolidation post-crisis: performance has improved across the board and disparities have decreased. Support measures put in place against the shocks caused by COVID-19 at Member State and EU level appear to have been successful, as in recent years disparities have further decreased and employment rates have not uniformly dropped.

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Employment rate, 2009–2021

The chart below depicts post-financial crisis employment rates in the EU27. It shows the annual average for: the EU, the 3 best performers and the 3 lowest performers, as well as some example countries.

Source: Eurostat, tesem010

Identifier: 0pHn2
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Employment rate, 2009–2021

Standard deviation

Source: Eurostat, tesem010

Identifier: jfm6N
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Employment rate, 2009–2021

Unweighted EU average

Source: Eurostat, tesem010

Identifier: XhgnG

The rate of young people not in employment, education or training (NEETs) was strongly affected by the financial crisis (2008–2013). The pre-crisis progress of upward convergence was reversed during the crisis period, with disparities increasing and performance worsening. Post-crisis, there has been a return to upward convergence. While COVID-19 threatened to undo this progress, the encouraging trend of improving performance has continued in most Member States – but there remains a possibility that worst-performing countries will fall behind their peers, causing divergence (upward divergence).

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Youth NEET rate in the EU, 2002–2021

The chart below depicts the youth NEET rate in the EU27 from 2002 to 2021. It shows the annual average for: the EU, the 3 best performers and the 3 lowest performers, as well as some example countries.

Source: Eurostat, sdg_08_20

Identifier: gSSW8
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Youth NEET rate in the EU, 2008

Darker colors denote higher rates of young people not in employment, education or training.

Source: Eurostat, sdg_08_20

Identifier: hqyLO
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Youth NEET rate in the EU, 2021

Darker colors denote higher rates of young people not in employment, education or training.

Source: Eurostat, sdg_08_20

Identifier: mySKD
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Youth NEET rate, 2002–2021

Standard deviation

Source: Eurostat, sgd_08_20

Identifier: jgqeV
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Youth NEET rate, 2002–2021

Unweighted EU average

Source: Eurostat, sgd_08_20

Identifier: 42g80

The chart below compares scores for EIGE's Gender Equality Index in 2010 and 2020. Member States are ordered by their 2020 scores (a higher score denotes greater gender equality).

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Gender Equality Index (EIGE), 2010 and 2020

Source: EIGE

Identifier: 1cYC0
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European Foundation for the Improvement of Living and Working Conditions
The tripartite EU agency providing knowledge to assist in the development of better social, employment and work-related policies