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Producing gender statistics through population censuses: UNECE

Explore the significance of question wording and sub-population groups in producing gender statistics through censuses, with a focus on improving data dissemination for meaningful gender analysis. Learn from regional perspectives and case studies.

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Producing gender statistics through population censuses: UNECE

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  1. Producing gender statistics through population censuses: UNECE Linda Hooper, Statistician Social and Demographic Statistics Section

  2. UNECE Census Recommendations

  3. Three main points: • Question wording • Sub-population groups • Dissemination of data

  4. Regional perspective on census and gender analysis Question wording How can census questions be improved to contain more gender relevant concepts? For example: • can census questions be improved to include all women and men who do work according to the ILO definition? • Do the current questions capture persons who have “atypical jobs”?

  5. Regional perspective on census and gender analysis Question wording • Formally there is a clear distinction between employed and non employed population • ILO definition: a person is currently employed if he/she has worked at least one hour the week previous the survey • Work: for income (cash or kind) or unpaid production of goods

  6. Regional perspective on census and gender analysis Question wording Prior 1994, US Labour Force Survey (LFS): “What were you doing most of last week—working, keeping house, or something else?” For women who primarily kept house but also did some paid work, this question appears to have led to some underreporting of work Now, US LFS: “Last week, did you do any work for pay or profit?” Following the redesign, the survey found an increase in the number of workers, primarily women, who usually worked fewer than 10 hours per week

  7. Question wording • Elimination of asking head of household • http://www.cso.ie/census/documents/census_2006_guide_25-27.pdf

  8. Detailed data and its use • Gender analysis of special populations • Inclusion of questions to identify the subpopulation group status in the census, can provide very accurate data to measure the different social and economic status of the individuals according to both sex and minority status.

  9. Unemployment rate by sex and ethnicity, United Kingdom 2004 Source: Office for National Statistics, United Kingdom

  10. Dissemination • Dissemination • Equality in Ireland 2007 by the Central Statistics Office of Ireland • Domains covered in the report: • Population • Martial status • Family status • Sexual orientation • Religion • Age • Disability • Ethnicity • Traveller community

  11. Use and dissemination • Geographic distribution • Data from population censuses may at times be presented and analysed in terms of statistics for a wide variety of geographical units ranging from the country as a whole to individual small localities or city blocks.

  12. Use and dissemination Family composition • Working patterns of couples • Recombine data Source: Ireland CSO Census of Population, 2006

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