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The study covers Botswana, Ethiopia, Kenya, Malawi, Mozambique, Namibia, Rwanda, South Africa, and Uganda. It finds that NEET rates in ESA are above 40 percent for youth in the 20-24 years age bracket, that young women in the region are disproportionally affected by NEET status regardless of their age group, and that this status is more likely to become a permanent state for young women than for young men.
Date:
The study covers Botswana, Ethiopia, Kenya, Malawi, Mozambique, Namibia, Rwanda, South Africa, and Uganda. It finds that NEET rates in ESA are above 40 percent for youth in the 20-24 years age bracket, that young women in the region are disproportionally affected by NEET status regardless of their age group, and that this status is more likely to become a permanent state for young women than for young men.
Date:
This study focuses on Uganda and forms part of a series covering 9 countries in East and Southern Africa. It uses existing statistical data to identify the factors that determine whether a young woman or man (aged 15-24) are not in employment, education or training.
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This study focuses on Rwanda and forms part of a series covering 9 countries in East and Southern Africa. It uses existing statistical data to identify the factors that determine whether a young woman or man (aged 15-24) are not in employment, education or training.
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This study focuses on Namibia and forms part of a series covering 9 countries in East and Southern Africa. It uses existing statistical data to identify the factors that determine whether a young women or man (aged 15-24) are not in employment, education or training. This study focuses on Namibia and forms part of a series covering 9 countries in East and Southern Africa. It uses existing statistical data to identify the factors that determine whether a young women or man (aged 15-24) are not in employment, education or training. 
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This study focuses on Malawi and forms part of a series covering 9 countries in East and Southern Africa. It uses existing statistical data to identify the factors that determine whether a young woman or man (aged 15-24) are not in employment, education or training.
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This study focuses on Kenya and forms part of a series covering 9 countries in East and Southern Africa. It uses existing statistical data to identify the factors that determine whether a young women or man (aged 15-24) are not in employment, education or training. 
Date:
This study focuses on Botswana and forms part of a series covering 9 countries in East and Southern Africa. It uses existing statistical data to identify the factors that determine whether a young woman or man (aged 15-24) are not in employment, education or training.
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The policy paper assesses the state of Gender Based Violence (GBV) in Africa in the context of the COVID-19 pandemic. Informed by evidence from the five African Union (AU) regions, it outlines some of the initiatives implemented in AU Member States. The paper also proposes recommendations towards multi-sectoral response and recovery efforts that address GBV as well as the related needs of women and girls in Africa.
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A statistical analysis based on existing data sources of gender inequality in Ethiopia.