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The purpose of the Global Minimum Set of Gender Indicators is to develop a common statistical measurement framework that could be used for the national production and international compilation of gender statistics and to track progress across countries and regions.
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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.
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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.
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This factsheet offers some insights into migrant women’s experiences in Niger, based on the limited data that is available on this topic. It was prouced as part of the Making Migration Safe for Women programme which aims to ensure that migration is safe for women migrating from, into and through Niger and that international norms and standards for protecting and promoting migrant women’s rights are strengthened. Read/Download : EN
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This module is one of four reports developed on violence in Uganda and the survey is the first of its kind where VAWG, VAM and VAC estimates are linked to poverty and other household socio-economic empowerment indicators such as ownership of household-based enterprises, and other economic indicators.
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Enshrined in the principle of "Leave No One Behind," this study report is a synthesis of key findings and recommendations from a multi country mapping of the manifestations and trends in discrimination against women and girls with disabilities in the ESA region.
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A statistical analysis based on existing data sources of gender inequality in Ethiopia.