Improving gender sensitive data collection and quality in africa challenges and opportunities
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International Expert Workshop Measuring Gender Equality Taking Stock – Looking Forward. Improving Gender sensitive Data Collection and Quality in Africa: Challenges and Opportunities. Presented by Ms. Thokozile RUZVIDZO African Centre for Gender and Social Development

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International Expert Workshop

Measuring Gender Equality

Taking Stock – Looking Forward

Improving Gender sensitive Data Collection and Quality in Africa: Challenges and Opportunities

Presented by Ms. Thokozile RUZVIDZO

African Centre for Gender and Social Development

United Nations Economic Commission for Africa


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Why Gender Statistics are critical?

  • Provide evidence and unbiased basis for policies and measures;

  • Monitor and evaluate policies and measures with respect to gender dimension;

  • Raise consciousness, persuade policy makers and promote changes


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Gender Statistics Challenges in Africa

  • Inadequate advocacy for gender statistics;

  • Lack of commitment to gender statistics development by the national government;

  • Inadequate level of and lack of continuity in resources;

  • Lack of updated statistical legislations that are in line with the UN Fundamental Principles of Official Statistics;

  • Statistical programs are not well related to national data priorities because of some competing demands;


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Gender Statistics Challenges in Africa (Cont’d)

  • Under-development of statistical units in line ministries;

  • Inadequate long and short-term planning for gender statistics development;

  • Inadequate technical skills;

  • Inadequate statistical infrastructure (sampling frames, classifications, documented concepts, definitions and methods);

  • Inadequate sex disaggregated data management (archiving, analysis, and dissemination).


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Data on violence against women are difficult to obtain:

  • Within the family: intimate partner violence; harmful traditional practices …

  • Within the community: femicide; sexual harassment; trafficking in women …

  • Other: VAW in armed conflicts; sexual slavery; etc.


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ECA/ACGS Response

  • African Gender and Development Index (AGDI)

  • Engendering principles and recommendations on population and housing censuses for the African region

  • African gender statistics network

  • Engendering agricultural and trade statistics

  • Dissemination of methodologies and tools for the development of gender-disaggregated data


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The AGDIis a composite indicator with two components:

  • The Gender Status Index (GSI) that captures quantitatively measurable issues related to gender equality;

  • The African Women’s Progress Scoreboard (AWPS) complements the GSI by measuring government policy performance regarding transformation of social institutions that affects women’s advancement and empowerment.


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What is new with AGDI?

  • Separating the gender status from a country’s GDP;

  • Making use of data sets that are nationally available;

  • Incorporating qualitative issues;

  • Monitoring mechanism to assess performance in implementing the various instruments African countries have ratified(CEDAW, BPfA, etc.)


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AGDI guiding principles for the field trials:

  • Role of UNECA as a supranational body was that of a facilitating, coordinating and training body;

  • National ownership rather than international control


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Lessons from the field trials

  • Hard to get access to data, even while availablefor secrecy issue;

  • Inadequate equipment or training and insufficient resources restricted access to information;

  • Tapping the national information sources of the countries proved to open a rich mine of data and stimulate a consensus binding process;

  • Use of national data allowed access to the most recent data available.


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Engendering principles and recommendations on population and housing censuses for Africa

  • The assessment of the current status and gender characteristics of data in national and sub regional statistical databases has shown huge data gaps that need to be overcome;

  • As long as all the process of data collection is not revised in order to take into account the gender perspective, it will be difficult to succeed in overcoming the gender disaggregating data;

  • Objective: Review, from a gender perspective, the statistical frameworks for the preparation of the 2010 Round of Population and Housing Censuses.


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African gender statistics network housing censuses for Africa

  • Provide a framework for knowledge sharing, peer learning and networking between all stakeholders dealing with gender statistics issues;

  • Advocate for sustained political commitment to integrate gender equality concerns into the policy agenda and the development of standards, frameworks and guidelineson statistics.


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Engendering agricultural and trade statistics housing censuses for Africa

  • In Africa, women constitute the majority of the agricultural workforce while their access to land, seeds, water, agricultural extension services, training, credit and voice and power is still limited, as compared to men’s;

  • Gender statistics and indicators in all aspects / dimensions of national, regional and international markets will allow to better address the regional integration issue;

  • Working on agriculture and trade will provide the inter-linkages to understand gender related challenges in food security, market access and economic productivity.


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Dissemination of methodologies and tools for the development of gender-disaggregated data

  • Guide for mainstreaming gender perspectives and household production into national statistics, budgets and policies in Africa;

  • Improve the skills of statisticians, national accountants and policy analysts, on how to engender national planning instruments;

  • Disseminate these methodologies developed by ECA for the collection of gender-disaggregated data.


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In conclusion … of gender-disaggregated data

  • All statistics on individuals should be collected, collated and presented disaggregated by sex;

  • Mainstreaming gender within the national statistical system at all levels is of paramount importance

  • All variables and characteristics should be analysed by and presented with sex as a primary and overall classification;

  • Identify gender issues and ensure that data addressing these are collected and made available;


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… In conclusion of gender-disaggregated data

  • A better coordination of donors funding surveys and census, coming up with a common position on engendering data collection process will be valuable for generating gender statistics;

  • National statistical offices to be endowed with adequate resources (skills, equipment and funds) to coordinate, centralized or generate relevant sex disaggregated data and make them accessible to the public at large;

  • The building-up of country-level capacity for gender related data collection, and research is crucial and has resulted in many countries formulating comprehensive gender sensitive policies.


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Thank you for your attention! of gender-disaggregated data


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