The report analyzes global youth employment trends, highlighting improvements post-COVID-19, ongoing challenges, and the need for targeted policies to support youth in achieving decent work and addressing inequalities.
(Generated with the help of GPT-4)
| Quick Facts | |
|---|---|
| Report location: | source |
| Language: | English |
| Publication date: | August 12, 2024 |
| Publisher: | International Labour Office |
| Authors: | Sara Elder; Matthieu Charpe; Huanyue Hu; Kee Beom Kim; Niall O'Higgins; Kate Brockie; Richard Horne; Steven Tobin; John Maloy |
| Geographic focus: | Global |
The research method involved analyzing global and regional labor market indicators for youth, using ILO modelled estimates and national statistics, focusing on trends in employment, unemployment, and NEET status, while disaggregating data by sex and region.
(Generated with the help of GPT-4)
The Global Employment Trends for Youth 2024 report marks the 20th anniversary of the ILO's efforts to monitor and improve youth employment conditions worldwide. It reveals that while the global youth unemployment rate has decreased to 13% in 2023, the situation remains precarious for many young people, particularly young women. The report emphasizes the importance of addressing the high rates of youth not in education, employment, or training (NEET), which stand at 20.4%. The findings indicate that recovery from the COVID-19 pandemic has been uneven, with certain regions, such as the Arab States and East Asia, experiencing higher unemployment rates than pre-pandemic levels. The report also highlights the growing casualization of work and the widening gap between the number of graduates and available jobs. It calls for urgent action to combat inequalities and improve access to decent work, particularly for disadvantaged youth. The report concludes with a call for collaborative efforts from governments, employers, and civil society to create a supportive environment for youth employment and to ensure that young people can thrive in the labor market.
(Generated with the help of GPT-4)