Comparative report

Chapter 6. Adult learning

6.1. The need for broader participation

EU-level 2030 target(315): ‘At least 60% of adults aged 25-64 should have participated in learning during the last 12 months by 2030.’

EU-level 2025 target(316): ‘At least 47% of adults aged 25-64 should have participated in learning during the last 12 months by 2025.’

Data on the participation of adults in learning are available from two key sources. The Adult Education Survey (AES) and EU Labour Force Survey (EU-LFS) have both provided 2022 data on the participation of adults in learning in the 12 months before the survey (Figure 31)(317). These are the first relevant data to monitor progress towards reaching the 2030 EU-level learning target on adult learning (at least 60% of adults participating in learning annually) and the 2025 adult learning target (at least 47%), which is a milestone towards reaching the 2030 target.

Figure 31. Adult learning participation is limited and uneven across EU countries irrespective of the source used

The 12-month participation data from the two sources yield different findings (Box 16)(318), with an EU average adult learning participation of 39.5% (AES) versus 25.1% (EU-LFS). Yet several conclusions can be drawn from both sources equally. Firstly, the participation of adults in learning, as an EU average, is too low and its increase too slow given the ever more pressing need(319) for lifelong skills development (320). Secondly, participation rates vary a lot across EU countries, with the best performance several times higher than the worst one(321). Thirdly, women, on average, participate more than men(322). Finally, and perhaps most significantly, people most in need of developing skills are the ones who participate the least (Figure 32)(323).

Adult learning figures are too low and improving too slowly given the pressing need for lifelong skills development.

Box 16. Differences between AES and EU-LFS 2022

There are two main data sources for indicators on adult learning: the Adult Education Survey (AES) and the EU Labour Force Survey (EU-LFS). Both refer to participation in formal and non-formal education and training during the last 12 months among 25-64-year-olds. In the EU-LFS, non-formal education and training comprises courses, seminars, workshops, and private lessons. In the AES, non-formal education and training comprises in addition guided on-the-job training. In order to make results more comparable, AES data presented here are without guided on-the-job training. Until 2021, the only source for adult learning in the last 12 months was the AES, done only once every 6 years. As of 2022, the necessary variables were added to the EU-LFS once every 2 years.

The comparison of the 2022 results yielded by the two data sources reveals differences, even though in general the same concepts and definitions were applied. All in all, the EU-LFS indicator yields different (and generally lower) adult learning participation rates than the AES. An in-depth analysis identified several possible reasons for the differences(324). The reasons include the surveys’ purpose, coverage of non-formal education and training (as mentioned above), number of variables for non-formal education and training (the variables are more detailed in the AES than in the EU-LFS), how national questionnaires are done, the use of proxies (responses from, for instance, another household member), and interviewer training. Most of these factors may lead to a loss of information and a downward bias in the EU-LFS indicator.

In 2024, the Employment Committee Indicators Group (EMCO IG) endorsed using the AES (excluding guided on-the-job-training) for monitoring adult participation in learning in the context of the EU-level and national adult learning targets, and as part of the social scoreboard and Joint Employment Report. A transition to EU-LFS data will be reconsidered in 2025, taking into account changes that some EU countries are implementing for the next EU-LFS wave, as well as a further assessment of differences between AES and EU-LFS data.

Increasing the general participation rate requires increasing the participation of low-qualified adults(325). The 2022 AES data show that the participation rate of low-qualified adults remains about one third of the rate of high-qualified adults – 17.9% against 58.1% in 2016 and 18.4% against 58.9% in 2022(326). In 10 EU countries, the rate of low-qualified adults has decreased, sometimes very much so, for instance by about half in Cyprus (from 20.7% to 10.9%) and by a third in Portugal (from 24.2% to 17.0%)(327). The 2022 EU-LFS data on participation in the last 12 months are similar to the 2022 AES data, giving an EU average of 39.7% (high-qualified adults) versus 11.3% (low-qualified adults). This yields a ratio of high-qualified adults to low-qualified adults of 3.5 (compared to a ratio of 3.2 when using the AES 2022 data).

Uneven participation can also be observed among different age groups. According to 2022 AES data, the participation of young adults (25-34-year-olds) was 49.5% compared to just 29.9% for adults nearing the end of their working lives (55-64-year-olds). Similar results can be observed in the 2022 EU-LFS data (33.2% versus 16.7%). Older working-age adults participate proportionally more in countries with high general participation. In Sweden, Hungary, Germany, Denmark, the Netherlands, and Slovakia, their participation is over two thirds of young adults’ participation (based on AES 2022), while in Greece, Cyprus, Romania, Bulgaria, and Poland, it is less than one third of young adults’ participation.

Figure 32. Adult learning participation is rare among key target groups irrespective of the source used

Employed adults’ participation rate in the last 12 months (44.7% in the AES, 28.5% in the EU-LFS) is higher than both unemployed adults’ rate (26.8% in the AES, 21.5% in the EU-LFS) and the rate of adults outside the labour force (23.7% in AES, 11.8% in EU-LFS)(328). There are some exceptions. Looking only at AES 2022 data(329), the participation of employed versus unemployed adults is relatively similar in Denmark (50.2% versus 49.9%), Estonia (44.6% versus 42.8%), and the Netherlands (60.4% versus 60.5%). The participation of unemployed adults versus adults outside the labour force is the same or similar in Italy (17.1% versus 17.1%), Hungary (20.7% versus 18.2%), and Slovakia (10.5% versus 10.0%). There are also countries where adults outside the labour force participate in learning much more than unemployed adults do. This is the case in Germany (40.5% versus 31.7%), Finland (46.3% versus 24.8%), and Sweden (62.0% versus 45.0%). Higher participation of adults outside the labour force can be observed more commonly in countries with higher participation rates overall.

Finally, across the EU, urban participation in learning over the last 12 months (43.6% in the AES, 28.7% in the EU-LFS) is higher than participation in suburban areas (38.5% in the AES, 22.8% in the EU-LFS) and rural areas (34.4% in the AES, 22.2% in the EU-LFS), with the rural rate just above three quarters of the urban rate(330). Two exceptions are Belgium and Malta, where rural participation is slightly higher than urban participation, in both surveys. Overall, the gap between rural (and suburban) and urban rates is wider in underperforming countries. For instance, in Bulgaria and Romania, countries with low general participation, rural participation is around one third of urban participation, and suburban participation is around half of what urban participation is(331). Increasing participation could be supported by a fairer geographical distribution of learning opportunities(332).

6.2. Adult learning for sustainability

Adult learning has the potential to have immediate impacts on the knowledge, skills, and attitudes of today’s working-age population. The benefits of school education manifest themselves over a longer period, but adult education and training enable learners to adjust relatively quickly to the rapidly changing labour market, including the green transition.

Competence frameworks such as GreenComp (Chapter 1) can serve as a basis for the development of curricula and learning activities. The curricula of some EU countries are already being revised and complemented with the requirements of the green economy and sustainable development, and new learning modules and courses are being created for both formal and non-formal education and training(333).

Besides incorporating sustainability into curricula, countries are designing qualifications that address the needs of the green transition, validating relevant non-formal and informal learning, or offering a range of micro-credentials in relevant areas(334). EU countries are carrying out reforms to develop green skills, in some cases with the support of the EU’s Technical Support Instrument(335). Some initiatives have a gender dimension, such as trying to increase the proportion of women in technical professions and green occupations through training in digitalisation, sustainability, and technology(336). Training on sustainable development is being incorporated into the training of civil servants too(337).

As outlined in Chapter 1, making learning environments more sustainable is an important part of learning for sustainability. Ensuring the sustainability of adult learning systems requires investments in infrastructure. This is done by setting up specialised technological centres, improving and updating existing infrastructure, or enabling the acquisition of new technological educational resources aligned with the needs of the green transition(338).

To ensure that training offers are relevant to the labour market, EU countries support cooperation between adult learning providers and companies that engage in green activities. However, employees most in need of reskilling also need to take part in training activities. In 2022, employees in energy-intensive industries participated in learning much less than employees on average did (10.4% compared to 15.7% in the last for weeks)(339).

EU countries support adult learning for sustainability but employees in energy-intensive industries show lower participation (10.4%) than the average (15.7%).

Adults from disadvantaged socio-economic backgrounds are less likely to acquire the sustainability competences needed to adjust to the changes resulting from the green transition(340). Identifying and addressing these gaps in adult learning is crucial for ensuring fair outcomes for all. Due to the greater flexibility of adult learning, increasing the participation of disadvantaged adults in learning opportunities that are relevant to the labour market plays an important role in preparing the working-age population for the green transition.

Main takeaway

At 39.5% in 2022, adult participation in learning is not on track to reach the EU-level targets. Participation rates are not only uneven across EU countries (from 9.5% in Bulgaria to 66.5% in Sweden). They are also substantially lower among key target groups of adults most in need of reskilling and upskilling. Examples are adults who are low qualified (18.4%), aged 55 and over (29.9%), unemployed (26.8%), outside the labour force (23.7%), or living in the EU’s rural areas (34.4%). These results are likely to only exacerbate existing inequalities. Sustainability is being incorporated into training offers, for instance through changes to curricula, increases in relevant training opportunities, and investments in infrastructure. However, the low participation rates of the target groups most in need risk generating unequal development of sustainability competences and pose employability challenges during the green transition.

Notes
  • 315.See the European Pillar of Social Rights Action Plan, welcomed by EU leaders at the 2021 Porto Social Summit and in the 2021 European Council conclusions.

  • 316.See the 2021 EEA strategic framework Resolution.

  • 317.The EU-LFS also provides data on the participation of adults in learning in the 4 weeks before the survey. These data are less informative but still provide useful information on developments over time due to their frequency and long timeseries. Monitor Toolbox

  • 318.The definitions of the AES and EU-LFS adult learning indicator (12 months) are brought in line with each other through a special extraction of AES data that excludes guided on-the-job training. For an AES-based analysis of adult learning participation including guided on-the-job-training, see the 2024 European Commission report on employment and social developments in Europe.

  • 319.See the 2024 Draghi report on the future of European competitiveness on how adult training plays a key role in overcoming economic challenges.

  • 320.The 2022 EU-LFS included a question on participation in the last 12 months for the first time. Comparison between the 2016 AES and the 2022 AES results shows that the increase at EU level has been very small, from 37.4% to 39.5%, and that 14 countries – more than half – had lower rates in 2022. Most decreases were small (such as in Greece, from 16% to 15.1%), but some quite significant (such as in Cyprus, from 44.8% to 28.3% and in Slovenia, from 40.3% to 26.5%). Monitor Toolbox

  • 321.A 2024 Eurofound report confirms that disparities in adult learning have increased in the past 15 years. Central European countries have remained stable, while Nordic and western countries have increased their share of adult learning, leading to regional divergence.

  • 322.Across the EU on average, female participation rates are 41.0%, versus 38.0% for men, using AES data, while female rates are 25.9%, versus 24.2% for men, using EU-LFS data. The gender gap is particularly wide in Latvia and Lithuania, where 2 men for every 3 women participate in training. There are exceptions. For instance, in Slovakia, male participation is slightly higher based on both sources. Monitor Toolbox

  • 323.While lifelong skills development is necessary for everybody in today’s labour market and society, it is especially useful for low-qualified adults, to give them a better level of basic skills and competences that are relevant to the labour market, making them less vulnerable in a time of huge transformations. A 2020 Cedefop report estimates that almost half of the EU adult population is in particular need of upskilling and reskilling.

  • 324.More details can be found in a 2024 Eurostat information note. A few structural elements may also affect the results, such as different timing for the actual data collection and each survey’s precise methodology (such as the sample size and the way data are collected).

  • 325.In this comparison, low-qualified means an educational attainment below upper secondary level, whereas high-qualified means an educational attainment at tertiary level.

  • 326. Monitor Toolbox This compares adults who have at most lower secondary educational attainment with adults who have a tertiary educational attainment.

  • 327.Monitor Toolbox Data are not available for Bulgaria, Croatia, Lithuania, and Slovakia.

  • 328.Adults outside the labour force are economically inactive: they are not working at all and not available or looking for work either. The observed difference in adult learning based on labour status partly reflects the higher participation of high-qualified adults, who are more likely to be employed. In 2022, 86.0% of people with tertiary educational attainment were in employment, compared to just 57.2% of people with lower secondary educational attainment or less. Monitor Toolbox

  • 329.The AES is based on to self-perceived labour status while the EU-LFS is based on the International Labour Organisation (ILO) definition.

  • 330.This is consistent with the higher participation rates of high-qualified adults, who are more likely to live in cities. Other factors play a role too though, such as the higher frequency and greater accessibility of opportunities in more densely populated areas with better transport facilities.

  • 331.In Finland and Sweden, countries with high general participation rates, rural participation is more than 80% of urban participation, and suburban participation is more than 90% of urban participation. Monitor Toolbox

  • 332.This includes better information and guidance and appropriate forms of support for participation, such as paid leave, which is more likely to be granted by larger companies or public administrative bodies (which, in turn, tend to be primarily urban employers).

  • 333.For instance, in Romania, the ‘Renewable Energy School of Skills’, for up-skilling and re-skilling technicians in the wind and photovoltaic industries, combines the provision of onsite training programmes with the delivery of several online courses. In Hungary, the ‘Sustainability Manager’ course is run as part of adult training in the form of a 6-month fee-paying course aimed at developing sustainability-related knowledge and skills.

  • 334.Portugal’s ‘Green Jobs and Competences Program’ aims to provide qualifications that address the needs of the green transition. In the Flemish community of Belgium, the University of Leuven has partnered up with four non-university colleges and a tertiary art college across the region to establish a lifelong learning initiative called ‘Continue’ offering a range of relevant micro-credentials.

  • 335.For instance, through the EU’s Technical Support Instrument, the Flemish community of Belgium has developed a roadmap for green skills, Denmark is preparing its industrial transition towards a circular economy, and France will implement a roadmap for greening its training policy and re-skilling schemes.

  • 336.For instance, in Austria, a training initiative for women in digitalisation, sustainability, and technology is intended to increase the proportion of women in technical professions and green occupations.

  • 337.One of the main objectives of the National Action Plan for implementing the National Strategy for the Sustainable Development of Romania 2030 is to provide training in sustainable development for civil servants.

  • 338.For instance, Portugal is investing in increasing its capacity and infrastructure for the delivery of relevant training by means of a large investment (as part of its recovery and resilience plan) in developing 104 specialised technological centres, improving and updating existing infrastructure, and enabling the acquisition of new technological education resources aligned with the needs of the digital and green transition (2023 compendium of inspiring practices).

  • 339.Monitor Toolbox Data refer to employees’ participation in education and training (last 4 weeks) for the 18-64 age group.

  • 340.See the 2023 OECD Skills Outlook.