Formal and Non-Formal Education and Training Participation (Ages 15–64) by Country
Education and training participation among all adults aged 15-64 represents a comprehensive indicator of lifelong learning engagement and human capital development. Adults across all age groups who participate in formal and non-formal education and training enhance their skills, adapt to economic change, and improve employment prospects. Participation rates reveal significant disparities in access to learning opportunities across countries, regions, and income levels globally.
Overall education and training participation measures the percentage of all adults aged 15-64 who participated in formal education (schools, universities) or non-formal education and training (vocational courses, workshops, online learning) during the previous 12 months. This comprehensive indicator captures learning engagement across all adult age groups and reflects overall investment in human capital development. High overall participation rates indicate strong educational systems, accessible learning opportunities, and cultural emphasis on continuous learning across all ages. Low rates suggest barriers to education access, limited training infrastructure, or economic constraints preventing adults from pursuing learning. Overall participation in education directly influences workforce productivity, innovation, economic competitiveness, and social development. Overall education and training participation varies dramatically across regions and income levels. Developed nations typically show participation rates between 30-50%, reflecting strong educational systems and widespread access to learning opportunities across all age groups. Many developing countries show rates between 10-20%, indicating significant educational access but with notable gaps. The lowest-performing countries show rates below 5%, suggesting severe constraints on learning opportunities. Northern Europe leads in overall participation, with countries like Denmark and Sweden exceeding 40%. This reflects strong investment in education infrastructure, employer commitment to workforce development, and cultural emphasis on lifelong learning. Developed economies in other regions show moderate to high participation. Developing regions show lower rates, reflecting limited training infrastructure, economic constraints, and lower employer investment. Regional disparities reflect broader development differences, with Sub-Saharan Africa and South Asia showing lower rates than other regions. Overall participation rates mask significant differences across age groups. Youth (15-24) typically show the highest participation rates, reflecting ongoing formal education and initial skills training. Working-age adults (25-54) show moderate participation, reflecting employer investment in workforce development. Older adults (55-64) show the lowest participation rates, reflecting age discrimination and limited training programs for older workers. These patterns hold across most countries, though developed nations show more balanced participation across age groups than developing countries. Gender disparities also emerge in overall participation, with women often having less access to training than men in developing countries. However, in developed nations, women's participation rates often equal or exceed men's. Income disparities are significant; higher-income individuals and those in professional occupations show much higher participation rates than lower-income workers and those in manual occupations. Projections for 2026 show modest improvements in overall education and training participation globally, with rates expected to increase slightly from 2023-2024 levels. However, improvements are typically 1-2 percentage points, suggesting that without significant policy interventions and investment, current disparities will persist. Some countries show increasing participation as economies recover and employers recognize the need for continuous workforce development. Others show stagnation or decline, reflecting economic constraints or limited training infrastructure. The 2026 estimates are calculated using linear regression analysis based on all available historical data. This statistical method identifies the rate of change over the entire historical period and projects that trend forward to 2026. The methodology examines each country's complete historical participation trajectory and applies the observed trend to estimate 2026 values. All projections are constrained to the 0-100% range to ensure realistic estimates. This approach assumes that current trends will continue, which may not hold if significant policy changes or external shocks occur. This analysis uses UNESCO Institute for Statistics (UIS) modelled estimates of education and training participation. Modelled estimates provide consistent, comparable data across countries by using statistical techniques to fill gaps in reported data and account for different reporting methodologies. Overall participation rates are calculated as: (Number of adults participating in education/training / Total adult population aged 15-64) × 100 The data reflects 2023-2024 actual rates (the most recent available), with 2026 projections calculated using linear regression analysis based on all available historical data. Using modelled estimates ensures methodological consistency across all countries included in this analysis, though it is important to note that these are statistical estimates rather than direct observations. This approach allows for meaningful comparisons between countries with different education systems and reporting practices.What Overall Education and Training Participation Means
Formal and Non-Formal Education and Training Participation (Ages 15–64) by Country
1
45.43%
2
39.83%
3
38.07%
4
35.7%
5
32.26%
6
31.84%
7
31.28%
8
29.52%
9
25.11%
10
24.2%
11
23.69%
12
23.31%
13
23.05%
14
21.51%
15
20.78%
16
20.68%
17
20.18%
18
19.83%
19
19.47%
20
19.37%
21
19.32%
22
19.01%
23
18.41%
24
18.35%
25
18.24%
26
18.03%
27
17.85%
28
17.65%
29
17.6%
30
16.4%
31
16.3%
32
16.09%
33
16.03%
34
15.86%
35
15.78%
36
15.65%
37
15.61%
38
15.16%
39
15.04%
40
14.57%
41
14.17%
42
14.13%
43
14.1%
44
13.96%
45
13.8%
46
12.98%
47
12.83%
48
12.78%
49
12.72%
50
12.72%
51
12.63%
52
12.48%
53
12.45%
54
12.39%
55
12.28%
56
11.69%
57
11.66%
58
11.6%
59
11.4%
60
11.19%
61
10.14%
62
9.98%
63
9.63%
64
9.57%
65
9.27%
66
8.45%
67
5.51%
Global Patterns in Overall Education Participation
Age Group Differences and Participation Patterns
2026 Projections and Methodology
Formal and Non-Formal Education and Training Participation (Ages 15–64) by Country
#
1
45.68%
45.43%
2
39.07%
39.83%
3
34.04%
38.07%
4
36.11%
35.7%
5
32.7%
32.26%
6
32.54%
31.84%
7
26.07%
31.28%
8
31.19%
29.52%
9
25.49%
25.11%
10
15.52%
24.2%
11
28.65%
23.69%
12
25.53%
23.31%
13
24.56%
23.05%
14
25.96%
21.51%
15
19.89%
20.78%
16
20.92%
20.68%
17
17.55%
20.18%
18
20.86%
19.83%
19
16.62%
19.47%
20
16.78%
19.37%
21
19.26%
19.32%
22
17.86%
19.01%
23
18.76%
18.41%
24
17.17%
18.35%
25
18.99%
18.24%
26
17.64%
18.03%
27
19.12%
17.85%
28
16.13%
17.65%
29
16.42%
17.6%
30
22.11%
16.4%
31
17.2%
16.3%
32
18.82%
16.09%
33
15.14%
16.03%
34
15.33%
15.86%
35
19.48%
15.78%
36
13.84%
15.65%
37
13.67%
15.61%
38
14.43%
15.16%
39
17.8%
15.04%
40
13.19%
14.57%
41
15.79%
14.17%
42
14.51%
14.13%
43
12.88%
14.1%
44
9.54%
13.96%
45
14.93%
13.8%
46
13.67%
12.98%
47
14.84%
12.83%
48
16.7%
12.78%
49
13.49%
12.72%
50
11.74%
12.72%
51
13.04%
12.63%
52
11.1%
12.48%
53
10.62%
12.45%
54
9.59%
12.39%
55
11.5%
12.28%
56
12.9%
11.69%
57
11.05%
11.66%
58
11.28%
11.6%
59
11%
11.4%
60
10.97%
11.19%
61
12.18%
10.14%
62
11.24%
9.98%
63
14.2%
9.63%
64
9.43%
9.57%
65
9.28%
9.27%
66
11.24%
8.45%
67
10.12%
5.51%
Methodology and Data Sources
Frequently Asked Questions
Q: What does overall education and training participation mean and why is it important for economic development?
A: Overall education and training participation measures the percentage of all adults aged 15-64 who participated in formal education or non-formal education and training in the past 12 months. This comprehensive indicator captures learning engagement across all adult age groups and reflects overall investment in human capital development. It is important because it directly influences workforce productivity, innovation, economic competitiveness, and social development. Countries with high overall participation rates typically show higher productivity, innovation rates, and economic growth. High participation indicates strong educational systems, accessible learning opportunities, and cultural emphasis on continuous learning. Low rates suggest barriers to education access, limited training infrastructure, or economic constraints preventing adults from pursuing learning. Overall participation in education reflects both individual commitment to professional growth and national investment in human capital development. Understanding overall participation rates helps identify countries' strengths and weaknesses in education systems and reveals opportunities for improvement.
Q: What factors drive differences in education participation across countries and age groups?
A: Multiple factors drive differences in education participation across countries and age groups. Economic development is fundamental; developed nations show higher participation rates than developing countries due to greater resources and infrastructure. Government investment in education and training significantly influences participation rates. Employer commitment to workforce development varies; companies that prioritize training show higher employee participation. Cultural attitudes toward lifelong learning matter; some societies emphasize continuous learning more than others. Age differences are significant; youth show higher participation than older adults due to ongoing formal education and age discrimination in training access. Gender disparities emerge, particularly in developing countries where women face greater barriers. Income disparities are substantial; higher-income individuals show much higher participation than lower-income workers. Technological change drives demand for skills training, particularly in digital fields. Regional differences reflect broader development disparities, with developed regions showing higher participation than developing regions. Addressing these disparities requires government investment in education infrastructure, employer commitment to workforce development, policies supporting lifelong learning, and efforts to combat discrimination based on age, gender, and income.
Data Disclaimer: Projected data (future years) are estimates based on mathematical models. Actual values may differ. Learn about our methodology →
Sources
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Updated: 06.01.2026https://databrowser.uis.unesco.org/browser/EDUCATION/UIS-SDG4Monitoring/t4.3/i4.3.1
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