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Production of gender statistics workshop New Delhi 6 th -10 th August. Vasemaca Lewai Fiji Bureau of Statistics Suva FIJI. Outline. Fiji Facts and Figures Gender Statistics Reports Women and Men of Fiji Islands Sources of Data Facts and Figures About Fiji
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Production of gender statisticsworkshop New Delhi6th-10th August Vasemaca Lewai Fiji Bureau of Statistics Suva FIJI
Outline • Fiji Facts and Figures • Gender Statistics Reports • Women and Men of Fiji Islands • Sources of Data • Facts and Figures About Fiji • Major Operational and Methodological Issues • Strategies • Challenges • Conclusion • Conclusions
1. Facts and Figures • Interim Government • Sugar Main Export • Tourism major source of F/Exchange • Remittances is 2nd • Population 853,000 • Fijians (55%) Indians (37% • Growth Rate of < !% annually
Facts and Figures (cont) females Males • Population 49% 51% • Life Expectancy 68.7 64.5 • Infant Mortality 23.0 22.0 • Adult Literacy 91.4 94.5
2.Gender statistics Report • 2 reports Compiled • 1st report very broad. • Compiled by a consultant. • 2nd Report • Compiled by Chandra and Lewai of the University and CSO respectively
3. Women and Men of the Fiji Islands(Gender Statistics and Trends) • The authors compiled the report based on their concern on the lack of a gender profile to measure the status of women relative to men and more importantly to identify gender gaps. • There were no consultation fee but a small grant from the Ministry of Women to cover operational activities.
Contents of the report • Demographics of Gender • Education and Training • Health Status • Household and Family • Economic Activity • Women in Businesses • Decision Making • Social Issues • Data Problems and Data Gaps • Conclusion
4. Sources of Data • Census • Survey reports on Various Topics • Annual Reports from different Depts/Agencies • Unpublished Data from both Govt/Other Agencies • Special Researches
5. Major Operational and Methological Issues • Census • Taken every 10 years • 2 to 4 years_long wait to integrate gender based social and economic indicators into public policy and planning • Published data does not provide detail information on key themesas education, health,economic activity (informal sector)
5. Major Operational and Methological Issues • Surveys • Sample Surveys can be a source of detailed information of gender but low priority of gender issues hinders its inclusion in surveys • Current available survey results are published at higher geographical units with specific focus on ethnicity. • Information are household based_information therefore is limited to household heads and not all individuals.
5. Major Operational and Methological Issues • Administrative Records • Administrative forms are not standardised. • Some administrative records collect information by gender but this is not published in annual reports. • Accessing different sources of data has been tedious and time consuming • Data on business participation and economic participation has been problematic and not collected at gender level.
6.Strategies • The govt.recognises the need to address inequalities in all aspects of life (SDP emphasizes the need to involve women in national development. • The govt will move towards a target of 50% representation in decision making levels (boards, councils and Committees) • The National Plan of Action (WPA, 1999-2008) addresses 5 key Areas, mainstreaming women and gender concerns, women and Law, Women and Micro enterprising, balancing Women and decision making and violence against women.
7.Challenges • Low priority of Gender issues exists in all aspects of life • Cultural and religious barriers are very much intact in the society • Gender is often associated with Women’s issues_therefore lacks men’s participation. • Cultural role of women results in lack of understanding of women’s participation and contribution to the the economy.
Conclusions • Critical requirement to assess the improvement in women’s social and economic development is the collection and analysis of sex disaggregated data. • Lack of sex disaggregated data and poor quality of existing data hinder proper assessment of women’s status in society. • Sex disaggregated data will both help policy formulation and accurately and promptly measure the success these policies.
The end Thank You