{"id":11860,"date":"2023-11-15T13:12:58","date_gmt":"2023-11-15T16:12:58","guid":{"rendered":"http:\/\/fund.ar\/publicacion\/gender-equality-index-2-work-and-income\/"},"modified":"2024-04-17T17:46:43","modified_gmt":"2024-04-17T20:46:43","slug":"gender-work-and-income-index","status":"publish","type":"publicacion","link":"https:\/\/fund.ar\/en\/publicacion\/gender-work-and-income-index\/","title":{"rendered":"Gender equality index – 2 Work and income"},"content":{"rendered":"\t\t
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In Argentina, gender pay gap is 25%, but the situation changes (and a lot) depending on the province. If we talk about labor inequalities, salary is not what has the greatest impact. Unpaid workday is the main explanation for gender inequality. What is women’s work like in the Argentine provinces? An index of Gender, Work and Income.<\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Gender inequality has gained unprecedented public visibility in recent years. Despite this, the challenges posed by this agenda cannot be addressed without a map indicating where to focus efforts. We need measurements that accurately reflect the different dimensions of Argentine reality and its subnational heterogeneity. The Subnational Gender Equality Index (ISIG) aims to fill this gap by spotlighting gender gaps in each of the 24 jurisdictions, providing a quick reference for urgently needed public policy interventions. This second version of the index focuses on work and income. It rates for the first time with a single score the economic gender inequality at the provincial level in Argentina.<\/strong><\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Gender, work and income<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Transforming an insurmountable challenge into policy opportunities<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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The past years have witnessed a remarkable surge in civil society and the public sector’s commitment to gender issues. Today, envisioning or planning for the country’s development without taking equity into consideration is inconceivable. However, tackling inequality, a complex and multifaceted phenomenon, presents significant and unique challenges for public policy.<\/span><\/p>\n

Evidence serves as a compass to guide priorities from among related issues and build political will at the national and local levels. The Gender, Labor and Income Index (IGTI) seeks to reframe this challenge from an insurmountable one to one addressable through public policy. The task at hand involves reconstructing an easily readable map of challenges nationwide shedding light on areas for intervention and identifying issues that require immediate prioritization.<\/span><\/p>\n

Another challenge is understanding the dynamics of each jurisdiction. This index is subnational: it compiles and produces local information, offering a descriptive baseline on economic gender inequality in the country’s 24 jurisdictions. The purpose is to provide evidence to inform decision-making and policy monitoring.<\/span><\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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An index to measure economic inequality<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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The IGTI aims to assess gender equality across 24 jurisdictions in terms of labor market access, distribution of unpaid housework, and poverty. Unlike a measure of general well-being, the IGTI compares the situation of women with that of men, regardless of the starting point, so that parity can coexist with low varying income levels.<\/span><\/p>\n

Due to the lack of official sources detailing the situation of transvestites, trans, and non-binary individuals in the labor market, the index relies on binary gender data.<\/span><\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Considering regional realities<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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The findings reveal that no jurisdiction exhibits equality in terms of women’s labor market participation, poverty rates, and the distribution of unpaid housework. There is a 22.4-point gap between the current state and average parity across all jurisdictions, and an 11.4-point gap between the highest- and lowest-ranking jurisdictions. This difference highlights a higher level of homogeneity among the provinces in comparison to other aspects of gender equality, such as <\/span>representation and decision-making power<\/span><\/a>, where the gap between the best- and worst-ranking provinces rises to almost 30 points.<\/span><\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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