Youth unemployment — all countries

Youth unemployment — Comoros

Youth unemployment in the Comoros in 2025 — 8.75%. Ranked 56 in the world out of 182. Since 1991, the indicator has fallen by 1.43 pp.

2025 8.75% −0.06 pp vs 2024
World rank 56of 182
Period maximum 10.49%2020
Period minimum 8.75%2025

Trend over time

1991–2025 · % of labor force aged 15–24

Youth unemployment — Comoros, 1991–20258.599.51010.519911995199920032007201120152019202320251991: 10.19%1992: 9.8%1993: 9.86%1994: 9.85%1995: 10.01%1996: 10.14%1997: 9.82%1998: 9.9%1999: 9.8%2000: 9.6%2001: 9.57%2002: 9.56%2003: 9.85%2004: 9.9%2005: 9.85%2006: 9.8%2007: 9.81%2008: 9.76%2009: 9.62%2010: 9.48%2011: 9.41%2012: 9.4%2013: 9.28%2014: 9.36%2015: 9.4%2016: 9.5%2017: 9.36%2018: 9.2%2019: 9.09%2020: 10.49%2021: 9.8%2022: 8.88%2023: 8.83%2024: 8.81%2025: 8.75%
Change over the period: −1.43 pp Annual average: -0.04 pp

Comparison, 2025

How the value compares with the world and the groups this territory belongs to: Comoros

Comoros 8.75%
World 13.41%
Eastern Africa computed 7.77%
Youth unemployment — Comoros, by year Comoros All countries CSV XLSX
Year % Change, pp
2025 8.75 −0.06 pp
2024 8.81 −0.02 pp
2023 8.83 −0.05 pp
2022 8.88 −0.91 pp
2021 9.8 −0.69 pp
2020 10.49 +1.39 pp
2019 9.09 −0.11 pp
2018 9.2 −0.15 pp
2017 9.36 −0.14 pp
2016 9.5 +0.1 pp
2015 9.4 +0.04 pp
2014 9.36 +0.07 pp
2013 9.28 −0.12 pp
2012 9.4 −0 pp
2011 9.41 −0.07 pp
2010 9.48 −0.14 pp
2009 9.62 −0.14 pp
2008 9.76 −0.06 pp
2007 9.81 +0.01 pp
2006 9.8 −0.05 pp
2005 9.85 −0.05 pp
2004 9.9 +0.05 pp
2003 9.85 +0.29 pp
2002 9.56 −0.01 pp
2001 9.57 −0.03 pp
2000 9.6 −0.2 pp
1999 9.8 −0.1 pp
1998 9.9 +0.07 pp
1997 9.82 −0.32 pp
1996 10.14 +0.14 pp
1995 10.01 +0.16 pp
1994 9.85 −0.01 pp
1993 9.86 +0.06 pp
1992 9.8 −0.39 pp
1991 10.19

About the indicator

The share of the economically active population aged 15–24 that is unemployed. In almost every country youth unemployment runs two to three times above the overall rate: the young have no experience, and their first entry into the labor market puts them up against more qualified workers. A sharp gap with the overall rate points to structural problems in the transition from school to work.

Source: ILOSTAT (ILO), license CC BY 4.0.