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Analysis and Presentation of Gender Statistics

Analysis and Presentation of Gender Statistics. Almaty, 23-27 April 2007 UNECE Statistical Division. Analysis of Gender Statistics. Why do Gender Analysis? Improve design of policies, projects and programs Measure impact of interventions Understand differences between genders.

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Analysis and Presentation of Gender Statistics

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  1. Analysis and Presentation of Gender Statistics Almaty, 23-27 April 2007 UNECE Statistical Division

  2. Analysis of Gender Statistics • Why do Gender Analysis? • Improve design of policies, projects and programs • Measure impact of interventions • Understand differences between genders

  3. For Example… • In many countries, men have higher labour force participation rates than women • Sex-disaggregated data shows us this, but we don’t know why • So, we need more information…..

  4. Percent of Economically Active People Aged 20-29 by Sex Men Women Source: United Nations Economic Commission for Europe, 2000.

  5. Percent Economically Active People Aged 20-29 by Sex and the Presence of a Pre-school Child: 1998

  6. Presenting Data • Presentation is crucial • Should attract readers • Encourage further analysis • A range of formats • Tables • Graphs • Diagrams • Maps

  7. Tips for Good Presentation • Clear visual message • Appropriate heading • Convey one finding or a single concept • Simple

  8. A Good Graph • Accurately shows facts • Grabs the readers attention • Shows trends or changes • Is clear and easy to read • Has a title and minimal labels • Uses colours or patterns to show differences

  9. How many statisticians present data

  10. Make it Easy to Understand • Graphic presentation of data makes it easier to understand • Easier to see the differences between men and women

  11. Percentage Married at Older Ages by Sex in the US: 2003

  12. How we present sex-disaggregated data influences the analyses we make

  13. Both graphs give important, yet different, information

  14. Life Expectancy at Birth for Select Countries: 2003 78.9 Singapore 84.2 77.6 Japan 84.4 76.5 Italy 82.5 75.6 France 83.1 74.4 United States 80.1 72.9 Chile 79.6 71.9 Mexico 77.6 70.1 China 73.3 67.9 Egypt 73.0 62.9 India 64.4 62.5 Belarus 74.6 59.6 Russia 73.0 41.0 Swaziland 37.9 40.1 Zimbabwe 37.9 32.2 Male Botswana 32.3 Female Source: U.S. Census Bureau, International Programs Center, International Data Base.

  15. Female Advantage in Life Expectancy at Birth in Select Countries: 2003 Singapore 5.3 Japan 6.8 Italy 6.1 France 7.5 United States 5.7 Chile 6.7 Mexico 5.6 China 3.2 Egypt 5.1 India 1.5 Belarus 12.1 Russia 13.4 Swaziland -3.2 Zimbabwe -2.2 Botswana 0.1 Source: U.S. Census Bureau, International Programs Center, International Data Base.

  16. From ‘raw data’ to easily understood gender statistics • Tables and graphs from ‘raw data’ • Gender concern here is Poverty • Underlying cause is the lack of means of economic support • Closer analysis requires reasons for not being economically active • Sources: labour force surveys or population censuses

  17. Population ages 10 and over by economic activity status and reasons for not economically active in Tanzania Mainland 1990/91

  18. Basic Table 1Population ages 10 and over by economic activity status • Focuses only on economic activity rate • Exact numbers rounded to 1,000’s and percentages to integers

  19. Population ages 10 and over by economic activity status • Further simplified • Deleted two columns of numbers and included total in 1,000’s

  20. Basic Table 2Not economically active ages 10 and over by reasons • Focuses only on reasons for being not economically active • Exact numbers rounded to 1,000’s and percentages to integers

  21. Not economically active ages 10 and over by reasons • Further simplified • Deleted two columns of numbers and included total in 1,000’s

  22. Acknowledgements • Victoria Velkoff, US Census Bureau • Statistics SwedenEngendering Statistics: A Tool for Change • Statistics New Zealandhttp://www.stats.govt.nz/NR/rdonlyres/A1892BF2-6E4A-4D08-9667-BC5EE45B99F4/0/GraphicsGuidelines.pdf • Office of National Statistics UK • Statistics Denmark • Russian Federal State Statistics Office • UNECE Gender Statistics Database

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