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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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Lack of adequate data to inform and monitor policies and progress undermines efforts to move forward Africa's gender agenda. The production of gender statistics in the region has been slow due to a combination of factors discussed in this Plan. However, increased interest in gender statistics and the current conducive policy environment for the their integration into statistical databases provide valuable opportunities to further strengthen statistical systems in Africa.
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Consistent integration of a gender perspective into each SDG requires that the methodological approaches used to analyse targets should be capable of identifying gender inequality concerns in the ‘gender silent’ targets and when mapping interlinkages between them. Ths toolkit adresses sustinability issues by providing SDG researchers, analysts, and policy experts with the necessary tools to incorporate gender considerations throughout their Agenda 2030 related work.
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This study explains why it is important to integrate a gender perspective into assessments of all the SDGs, and also shows how to approach this task as a way to enhance gender mainstreaming across the 2030 Agenda.
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UN Women Kenya Annual report shares results and lessons learned for 2021.
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This quarterly newsletter profiles UN Women Uganda activities and highlights voices of beneficiaries. The Q2 Newsletter covers the period of April to June 2022. Enjoy the read!
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Uganda has made gains in its socio-economic transformation, maintained peace and stability for over 3-decades and is on course to become an upper middle-income country by 2040. The Government of Uganda (GoU) is committed to the SDG 2030 Agenda as exemplified by the gross domestic product which doubled over the last 10-years, from $17.2 billion in 2010 to $34.4 billion in 2019. Literacy rates improved from 70% between 2012-2013 to 74% between 2016-2017, yet still literacy levels were higher for males than females. Uganda’s National Development Plan (NDP) III focuses on inclusive growth, human wellbeing and resilience, transformational and inclusive governance positions. The NDPIII is a convergence framework for the entire UN System to coherently contribute to the advancement of Gender Equality and Women’s Empowerment (GEWE) in Uganda with UN Women as a strategic partner on the path to transformation
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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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The qualitative component of the Women’s Health and Life Experiences study was designed to complement the larger survey on prevalence which seeks to generate reliable estimates of the prevalence of different forms of Violence Against Women and girls (VAWG), provide detailed information on the impacts of VAWG, and examine women’s attitudes to violence, how women cope with violence, and the risk factors associated with VAWG. It provides contextual information on women and community perspectives and experiences of Violence against women and girls (VAWG).
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The current drought response in Ethiopia is being scaled up across sectors, including food security, nutrition assistance, provision of safe water and sanitation, and livelihood protection. In addition, other urgent humanitarian assistance to drought- stricken areas such as agriculture and livestock support for pastoralist communities are also being increased. Nonetheless, the needs of women and girls may not be met due to a number of compounding factors such as the breakdown of key services which are critical to the health, protection, and recovery of women and girls; weakened informal and formal protection and accountability mechanisms; disrupted livelihoods, increased displacement, power imbalances, and limited access to resources.
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Assessment of the gender data and capacity gaps in the national statistics system of South Sudan.
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This brief gives an overview of the Gender Statistics programmes across East and Southern Africa.
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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. 
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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 study identifies a number of challenges including inadequate normative frameworks and infrastructure to support statistical production, large time gaps between household surveys and censuses, limited dissemination and use of gender data and statistics across the NSS, and weak administrative data quality and systems in Malawi.