Gender Empowerment in the Arctic (2016-2020)

• Main Authors: Marya Rozanova-Smith, Andrey Petrov, Joanna Absalonsen, Steven Arnfjord, Timothy Heleniak, Firouz Gaini, Suzanne Mills, Aleksandra Poturaeva, Justine Ramage, Bergljót Þrastardóttir
• Format: Dataset
• Language: unknown
• Published: Arctic Data Center 2022
• Subjects: Gender; Gender empowerment; Women's political leadership; Arctic; Gender earnings gap; Gender disparity in tertiary education; Gender equality; Nunavut; Yukon; Northwest Territories; Faroe Islands; Sakha; Reykjavík; Murmansk; Canada; Greenland; Norway; Kainuu; Kujalleq; Höfuðborgarsvæði; Qeqqata; Avannaata; Chukotka; Chukotka Autonomous Okrug; Finnmark; Iceland; Krasnoyarsk Krai; Murmansk Oblast; nenets; Nenets Autonomous Okrug; Nordland; Republic of Sakha; Sermersooq; Yakutia; Yamalo Nenets; Yamalo-Nenets Autonomous Okrug; Alaska; Lapland; Norrbotten; Troms
• Online Access: https://doi.org/10.18739/A2000019Z

The collaborative study on gender equality and empowerment in the Arctic (UGEEA) aims to improve understanding of gender equality issues in the New Arctic at the national, regional, and local levels, identify concrete strategies for gender political, economic, and civic empowerment, and thereby facilitate sustainable policymaking for the New Arctic. This study employs an inclusive, collaborative approach to collect and analyze datasets, documents, and case studies to understand to what extent political, economic, and civic empowerment is distributed by gender. Broader impacts of the UGEEA Project include recommendations for the promotion of gender equality and empowerment of women, raising public awareness of gender issues in the Arctic, and the development of a publicly available data compendium on gender empowerment. The study also aims to narrow the existing knowledge gaps on gender empowerment across Circumpolar regions by including an assessment of gender empowerment at different levels relevant to the Arctic countries — national/quasi-national (for Iceland, the Faroe Islands, and Greenland), subnational (regional), municipal, and local (community) levels. The dataset examines gender earnings gap, gender disparity in tertiary education, and women's political leadership in the Arctic at the regional/(sub)national levels.