Priority measures 102, 103 and 104 of chapter J of the Montevideo Consensus on Population and Development, referring to the frameworks for implementing the regional agenda on population and development, deal in a cross-cutting manner with the issue of improving data sources, including the need for financial and human resources to develop reliable, timely and quality information systems with a gender perspective, disaggregated geographically and by sex, age, race, ethnic origin and socioeconomic status.
The issue of recognizing women’s economic and social contribution to the development of societies, mentioned as part of this priority measure, is fully covered in priority measures 53 and 64 in this guide.
Possible lines of action
1. Ensure disaggregation by sex in the collection and production of information in statistics systems and administrative records so as to incorporate the gender focus in different analyses. 2. Incorporate disaggregation by race, ethnic origin, socioeconomic level and place of residence, among others, into gender analysis to ensure that the decisions taken are relevant to different groups of women. 3. Develop and adopt official indicators with a gender perspective for monitoring progress toward gender equality. 4. Maintain an ongoing process of training in the preparation and use of analyses based on gender indicators.
Related instruments, forums and mechanisms
Santo Domingo Consensus, agreements 114 (“Strengthen, by means of training, exchanges of experiences and awareness-raising, regional and national instruments to monitor women’s empowerment, particularly gender observatories, ensuring that the information and data supplied are compiled using a common methodology for the purposes of comparison and analysis of the different variables at the regional level, thus ensuring that the results obtained serve as basic input material for public policies on equality in the region”) and 117 (“Strengthen the effective implementation of systems for the production of statistical information for designing policies with a gender focus, affording particular attention to methods for collecting, classifying and processing sex-disaggregated national and regional data, including gender indicators in all areas, on the basis of a common methodology implemented by all the countries of the region, with a view to promoting women’s empowerment and decision-making”).
Sustainable Development Goals, target 17.18 (“By 2020, enhance capacity building support to developing countries, including for LDCs and SIDS, to increase significantly the availability of high-quality, timely and reliable data disaggregated by income, gender, age, race, ethnicity, migratory status, disability, geographic location and other characteristics relevant in national contexts”).