• Description

Since 24 February 2022, and the invasion of the sovereign territory of Ukraine, there have been devastating effects in the country, including massive civilian displacement and casualties. The number displaced as of 25 March is estimated at 10.2 million. Attacks have taken place across the country, including Kyivska oblast and the capital city of Kyiv, as well as the eastern oblasts of Donetska and Luhanska, which were already affected by conflict.

Prior to the recent escalation, modest gains had been made in Ukraine in terms of the advancement of gender equality and women's rights in the country. Much of this is to the credit of an advanced women's rights civil society. Yet these gains were under pressure from deeply entrenched gender discrimination as well as eight years of conflict and displacement and the disproportional socioeconomic impact (including violence against women) caused by the COVID-19 pandemic. Pre-existing gender and intersectional inequalities worsen during a crisis, and any advances made will be further affected by the current war.

This Rapid Gender Analysis (RGA) seeks to draw attention to the gender dynamics in the war in Ukraine—both pre-existing and emerging—and draws out recommendations for humanitarian leadership, actors and donors to ensure consideration of the gendered dimensions of risk, vulnerability and capabilities in response and preparedness to this crisis. This RGA is a progressive publication based on secondary data resources both pre-crisis information as well as information that has been released after 24 February. Resources comprise of English, Ukrainian and Russian language sources across humanitarian information sources and media as well as being informed through anecdotal discussions with UN Women partners. The secondary data review was conducted between 14 and 22 March 2022. This RGA builds upon the RGA Ukraine Brief developed by CARE International during the first week of the conflict and will be followed by another publication that will include an analysis of both primary and secondary data.