1. Workshop Summary Subregional Workshop on Dissemination and Use of Population and Housing Census Results with a Gender Focus Suva, Fiji, 25-29 July 2011

2. Objective 25-29 July 2011Jessica Gardner2  strengthen your capacity to disseminate and use census data for policymaking  Gain skills / knowledge in how to  disseminate data  increase the use of data by policymakers  gender focused data dissemination and use

3. What have we done in these four days? 25-29 July 2011Jessica Gardner3  8 sessions  Disseminating and communicating statistics  Using statistics  Gender-focused data analysis  Making data meaningful to different user groups  4 group activities  Current dissemination practices  Developing a dissemination strategy (tempate)  Practice convincing different user groups  Gender monograph outline  2 individual exercises  Finding data as a user  Graph Design Quiz

4. Increase understanding 25-29 July 2011Jessica Gardner4 Data Producers Data Users

7. Build demand for data Limited data use Limited funding Limited quality statistics High demand for data More funding to produce data Higher quality of statistics 25-29 July 2011Jessica Gardner7

8. Fundamental Principles of Official Statistics (UN Statistical Commission) 1. Statistics are a public good 2. Retain trust 3. Present information 4. Comment on misuse 5. Cost-efficiency 6. Confidentiality 7. Transparency 8. Coordination 9. International standards 10. International cooperation 25-29 July 2011Jessica Gardner8

9. Specify Needs DesignBuild CollectProcessAnalyse DisseminateArchiveEvaluate Generic Statistical Business Process Model (UNECE, 2009) 25-29 July 2011Jessica Gardner9

10. What is data quality? Data Quality RelevanceAccuracyCredibilityTimelinessAccessibilityInterpretabilityCoherenceCost-efficiency Source: OECD (www.oecd.org/dataoecd/26/38/21687665.pdf) 25-29 July 2011Jessica Gardner10

11. This is a strategic issue! 25-29 July 2011Jessica Gardner11  National Strategies for the Development of Statistics (NSDS)  Regional strategies  e.g. Ten Year Pacific Statistics Strategy

12. 25-29 July 2011Jessica Gardner12

13. Global trends  “Official statisticians did not pay enough attention to presentation, communication, listening or dialogue with users” Jill Leyland, UK Royal Statistical Society (May 2011) 25-29 July 2011Jessica Gardner13

14. Shift from print to online dissemination 25-29 July 2011Jessica Gardner14

15. Video  www.youtube.com/user/onsstats#p/u/30/49rRlJBxIf0 www.youtube.com/user/onsstats#p/u/30/49rRlJBxIf0 25-29 July 2011Jessica Gardner15

16. Animation 25-29 July 2011Jessica Gardner16 http://www.statistics.gov.uk/populationestimates/flash_pyramid/UK-pyramid/pyramid6_30.html

17. 25-29 July 2011Jessica Gardner17

19. Population and housing census: a rich source of data 25-29 July 2011Jessica Gardner19

21. Topics covered by the census  Demographic and social  Household and family composition  Migration  Fertility and mortality  Education  Economic  Disability  Agriculture

22. 25-29 July 2011Jessica Gardner22

24. Challenges for data users 25-29 July 2011Jessica Gardner24  Access  Need to know where to look  Being able to use the tools (i.e. internet must be working)  Understanding the statistics and how to use them  Multiple sources  Being able to identify reliable / authoritative sources  Can’t find what you need  not available  not up-to-date  not disaggregated enough (e.g. by sex, age, area, industries, occupation)

25. 25-29 July 2011Jessica Gardner25

26. Gender statistics is not about women only. It is about the role of both women and men in society.

27. Key definitions Gender: refers to the relatively fluid socially constructed roles, behaviours, activities, and attributes that a given society considers appropriate for men and women Feminine and Masculine Sex: the relatively fixed biological and physiological characteristics that define men and women Female and Male

28. Three components of gender analysis (1) sex-disaggregated data + (2) analysis + (3) gender perspective = gender analysis

29. Gender focused analysis 25-29 July 2011Jessica Gardner29  Gender and education  Gender and migration  Gender and employment  Gender, families and households  Gender, health and mortality  Gender, population and marriage  Gender and disability  Gender and technology  Gender, income and assets

30. 25-29 July 2011Jessica Gardner30 Identify issues Analyse data Present findings

31. 2, 2.5, 3, 3.5, 4

34. Source: Michael Beahan, Australian Bureau of Statistics

35. On their own, statistics are just numbers

36. Writing tips  Grab your reader’s attention  Headline  First paragraph  Focus on findings not process  Use images  Simple words that people understand  Sub-headings and bulleted lists for easy scanning

37. Population growing faster than ever Agriculture production in decline Tourism on the rise

38. Men and cancer in the United Kingdom Source: Office for National Statistics, United Kingdom

39. What, where and when e.g. Tourist arrivals, Samoa, March 2006 e.g. Statistics Samoa (2008) Remember: user-friendly language! explanations, special notes, definitions, etc

41. Men hold most paid jobs Paid employment by industry and sex, Fiji, 2004 Source: Fiji Islands Bureau of Statistics (2008)

42. 25-29 July 2011Jessica Gardner42

43. Personal action plan 25-29 July 2011Jessica Gardner 43 Email to jessica@stats2info.comjessica@stats2info.com  I commit to taking the following action when I return to the office: 1. Action 1 2. Action 2 3. Action 3 4. …