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Short Summary
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Gender equality needs to be measured and documented because what gets measured is more likely to be addressed. For example, Rwandan women parliamentarians joined forces with national and international non-governmental organisations, United Nations agencies and the National Gender Machinery to use statistics on gender-based violence (GBV) to lobby for a GBV bill. Quantitative data is generally collected through censuses, administrative records and other large-scale surveys. The data is usually interpreted using formal methods such as statistical tests to present and analyse gender-sensitive data in different ways; 'descriptive statistics' summarise the data, such as the average life expectancy of men and women, while 'inferential statistics' can identify relationships, for example whether women's education is more influential on children's health than household income. Gender analysis must be implemented throughout the process of producing statistics - from the development of concepts and methods for collecting data to the presentation of results. There have been programmes in several regions to begin the process of adapting indicators to better represent changing levels of gender equality in specific contexts. For example, since 1997 the Development of a Gender Statistics Programme (GSP) in the Arab Countries has sought to strengthen regional capacity in the identification of statistics and indicators, including through a series of regional workshops.
This document contains an annotated list of around 10 gender statistics databases, including globally focused resources, such as The World Bank's Genderstats Database of Gender Statistics, and regionally focused ones, for example the Economic Commission for Latin America and the Caribbean (ECLAC) Gender Statistics in Latin America and the Caribbean (English and Spanish)
It has been extracted and amended from the BRIDGE Cutting Edge Pack on Gender and Indicators, Supporting Resources Collection, July 2007. The complete Pack is available online at: http://www.bridge.ids.ac.uk/reports_gend_CEP.html#Indicators
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