Guide on Gender Analysis of Census Data Full Draft of 6 December 2012 Contents
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ConclusionsThe previous chapters should have provided you with a sound understanding of the strengths and weaknesses of census data as they relate to gender equality issues and the empowerment of women and be able to make sense of tabulations, indicators and multivariate analyses on a variety of gender topics. The introductory chapter explained how analysing census data in a gender-responsive way is situated within the overall efforts to produce, disseminate and use gender statistics. You were introduced to the differences between sex-disaggregated data and gender statistics and familiarised you with some of the challenges regarding gender statistics. You were also taken through the key concepts related to gender analysis such as sex, gender, gender equality and gender mainstreaming. You should now be able to understand some of the differences in the way statisticians and gender experts use certain terms. Hopefully, this will enable you to communicate more clearly and collaborate more effectively towards our shared goal, i.e. providing an evidence-base to monitor progress towards gender equality and the empowerment of women in your country and to inform policy-making and innovation in this area. Chapters 3 to 12 examined how ten issues of known gender relevance can be analysed on the basis of census data. The ten gender issues were fertility, sex ratios, marital status, household composition, living conditions/poverty, education, work, migration, disability and social security. Each chapter followed the same structure: After defining the main concepts, it was explained why the particular issue at hand is important from a gender and human rights perspective and point to some of its policy implications. A section on data challenges helped you appreciate the nature and quality of the census variables at your disposal for analysis. The text then introduced some of the key tabulations and indicators that can be constructed around the topic, using census data only, and how these should be interpreted. Finally, it suggested some further, more advanced, gender analyses that can be carried out as well as some potential advocacy uses. The key messages conveyed throughout the ten chapters and in the extended introduction can be summed up as follows:
At the end of this guide, we provide you with a poster featuring key learning points, a checklist of questions, and a number of useful “Memory Cards.” These tools aim to help you in your efforts to promote and support gender analysis of census data in your country. We’ll have to see about that. ReferencesAcharya, M. and R. H. Chaudhury (2010). Manual on Engendering Census. Bangkok, UNFPA Asia Pacific Regional Office. Addai, I. (1999). Does Religion Matter in Contraceptive Use among Ghanaian Women? Review of Religious Research Vol. 40, No. 3 (Mar., 1999). Religious Research Association, Inc. http://www.jstor.org/stable/3512371. Adhikari, Ramesh and Chai Podhisita (2010). Household headship and child death: Evidence from Nepal. BMC International Health and Human Rights Vol. 10:13. Adsera, A. (2006). Marital fertility and religion in Spain, 1985 and 1999. Population Studies Vol. 60, No. 2. Anderson, M. (1992). The history of women and the history of statistics. Journal of Women’s History Vol. 4, No. 1 (Spring). Anderton, D. L. and R. J. Emigh (1989). Polygynous fertility: sexual competition versus progeny. American Journal of Sociology Vol. 94: 832-855. Andres, L. and M. Adamuti-Trache (2007). You’ve come a long way, baby? Persistent gender inequality in university enrolment and completion in Canada, 1979-2004. Canadian Public Policy Vol. 33, No. 1: 93-116. Andro, A. and V. Hertrich (2001). La demande contraceptive au Sahel: les attentes des hommes se rapprochent-elles de celles de leur épouse? Population 5: 721-771. Anker R. (1998). Gender Jobs: Sex Segregation of Occupations in the World. International Labour Organisation. Geneva: United Nations. Arnold, F. (1985). Measuring the effect of son preference on fertility: the case of Korea. Demography Vol. 22: 280-288. Asadullah, M. N. and N. Chaudhury (2009). Reverse gender gap in schooling in Bangladesh: Insights from urban and rural households. Journal of Development Studies Vol. 45, No. 8: 1360-80. Aubel, J., P. Pandey and S. Rijal (1999). Rapid Assessment: Grandmothers’ Role in Nepali Families. Kathmandu: NTAG. Aubel, J., M. Agbendech, F. Brah and A. Madoul (2000a). Rôle des Femmes Agées dans la Santé Maternelle et Infantile Niger. Niamey: Helen Keller International. Aubel, J., I.Toure, M. Diagne, L. Kalala, E. Sene, Y. Faye and M. Tandi (2000b). Étude sur le Rôle des Grands-mères dans la Santé et Nutrition de la Mère et de l’Enfant Dakar: Christian Children’s Fund. Aubel, J., N. Muratova, N. Bosorova, L. Djelilova, D. Allabergenova, N. Shaymanov and A. Kuchimov (2003). The Role of the Grandmothers and Other Household Actors in Maternal and Child Health: A Qualitative Community Study Uzbekistan: Project Hope. Ayhan, H. Ö. (2001), Statistics by gender: measures to reduce gender bias in agricultural
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