2.  The Purpose and Objective  The need for TUS  Integration of TUS in Statistics 4-7 Dec, 2012 2 Integrating Gender Perspective in Statistics, Kampala

3.  There has been a mounting need at the national, regional and global level for systematic mainstreaming of a gender perspective within national statistical systems and in the production of statistics. Tuesday, November 20,2012 ASD SEMINAR ON GENDER STATISTICS 3

4. According to the strategic objective H.3 of PoA clearly states that “Generate and disseminate gender-disaggregated data and information for planning and evaluation” Tuesday, November 20,2012 ASD SEMINAR ON GENDER STATISTICS 4

5. Some of the actions to be taken under this strategic objective by the National Statistics offices includes: A. Ensure that statistics related to individuals are collected, compiled, analysed and presented by sex and age, and reflect problems, issues and questions related to women and men in society; Tuesday, November 20,2012 ASD SEMINAR ON GENDER STATISTICS 5

6. B.Collect, compile, analyse and present on a regular basis data disaggregated by age, sex, socio-economic and other relevant indicators, including number of dependents, for utilization in policy and programme planning and implementation and to reflect problems and questions related to men and women in society. Tuesday, November 20,2012 ASD SEMINAR ON GENDER STATISTICS 6

7. Ghana has ratified and adopted a number of international, regional and sub-regional conventions, treaties and policies on women’s empowerment and gender equality: Convention on the Elimination of All Forms of Discrimination against Women (CEDAW) the " Beijing Platform for Action" (PoA) of the Fourth World Conference on Women in 1995 in Beijing the Millennium Development Goals (MDGs) of 2005, which has gender dimensions Others Tuesday, November 20,2012 ASD SEMINAR ON GENDER STATISTICS 7

8.  This imposes on the Service the task to develop gender statistics in the country, to track the progress Ghana is making on the attainment of GE and WE;  Play an important role in increasing awareness on the production and use of GS;  Develop systems on gender statistics to monitor changes in the situation of women as against that of men. Tuesday, November 20,2012 ASD SEMINAR ON GENDER STATISTICS 8

9.  With the developments at the international level, the United Nations Economic Commission for Africa (UNECA), on its 40 th anniversary in 1998, convened a regional conference on the theme “African Women and Economic Development: Investing in Our Future”.  And also how to eliminate gender discrimination. 4-7 Dec, 2012 9 Integrating Gender Perspective in Statistics, Kampala

10.  Since it was well recognised that the process of measuring unremunerated work is not an easy task.  Therefore, one of the key actions proposed by the conference was “to include a gender perspective in national accounting systems and other data for example, by conducting time use surveys which produce information on time use across formal, informal and unpaid reproductive sectors for women, men and girls and boys in different contexts, particularly in areas of high poverty prevalence”. 4-7 Dec, 2012 10 Integrating Gender Perspective in Statistics, Kampala

11.  The main objective of the GTUS was to measure and analyze the time spent in a 24-hour period by individuals aged 10 years and older – women, men, girls, and boys - on all activities including paid and unpaid work and Non-productive activities (leisure activities). 4-7 Dec, 2012 11 Integrating Gender Perspective in Statistics, Kampala

12.  The GTUS is to allow for the development of a satellite account of household production as well as a gender-aware macroeconomic model for Ghana.  Address gender issues in macroeconomic and poverty reduction policies and strategies in Ghana.  Build the capacity of the country in conducting time use surveys.  Provide users with data on time use and how Ghanaians allocate time to different activities  Capture the full participation of men and women in the economic and development process.  Improve concepts, methodology and measurement of all types of work and work-related activities.  Mainstream gender into development policy and programmes. 4-7 Dec, 2012 12 Integrating Gender Perspective in Statistics, Kampala

13.  Section 1: › Identification Of The Household › Composition & Socio-economic Characteristics Of Members Of The Household  Sections 2:Housing Characteristics  Section 3: Household Assets and Use of Social Services  Section 4: Household Expenditure 4-7 Dec, 2012 13 Integrating Gender Perspective in Statistics, Kampala

14.  Individual Diary Questionnaire was administered to hh members of 10 years and older.  The person interviewed must be the person concerned - no one can answer questions on behalf of another person.  the code number given to the household and the ID number given to all eligible members could be obtained from the household questionnaire. This information was required to link the individual questionnaire to the household questionnaire. 4-7 Dec, 2012 14 Integrating Gender Perspective in Statistics, Kampala

15.  GTUS adopted › Face – face recall interview 4-7 Dec, 2012 Integrating Gender Perspective in Statistics, Kampala 15

16.  International Classification of Activities for Time Use Statistics (ICATUS) developed by the United Nations Statistics Division “Guide to producing statistics on time use: Measuring paid and unpaid work)” 2005.  ICATUS defines 15 main groups of activities, which include: SNA productive, non-SNA productive and non-productive activities  Coding of activities was done by the supervisors. 4-7 Dec, 2012 16 Integrating Gender Perspective in Statistics, Kampala

17. CHAPTER 2 DEMOGRAPHIC CHARACTERISTICS › 2.1 Household Composition › 2.2 Age and Sex Distribution › 2.3 Marital Status › 2.4 Religious Affiliation › 2.5 Literacy 4-7 Dec, 2012 17 Integrating Gender Perspective in Statistics, Kampala

18. CHAPTER 3 SOCIO-ECONOMIC CHARACTERISTICS › 3.1 Educational attainment › 3.2 Economic activity › 3.3 Reason for not doing any work 4-7 Dec, 2012 18 Integrating Gender Perspective in Statistics, Kampala

19.  CHAPTER 4 HOUSING CONDITIONS › 4.1Type of dwelling › 4.2 Ownership of dwelling › 4.3 Room occupancy › 4.4 Household facilities and amenities 4-7 Dec, 2012 19 Integrating Gender Perspective in Statistics, Kampala

20. CHAPTER 5 ASSET OWNERSHIP, SELECTED HOUSEKEEPING ACTIVITIES AND HOUSEHOLD EXPENDITURE › 5.1 Asset Ownership › 5.2 Housekeeping activities › 5.3 Use of social services › 5.4 Household expenditure 4-7 Dec, 2012 20 Integrating Gender Perspective in Statistics, Kampala

21.  PART 3 HOW GHANAIAN WOMEN AND MEN USE THEIR TIME 4-7 Dec, 2012 21 Integrating Gender Perspective in Statistics, Kampala

22. Three main indicators were used to determine the Time Patterns between women and men:  the average time spent in the various activities,  the participation rate of the population in these activities and  the time spent by the persons involved in the activities. (the time spent on a specified activity by those who actually did engage) in that activity. 4-7 Dec, 2012 22 Integrating Gender Perspective in Statistics, Kampala

23.  A standard set of disaggregation was used to explore patterns in time use among different groups:  geographical area of settlement (rural/urban)  age group  marital status  employment status  educational achievement  household composition, and  Days of the week All these variables were further disaggregated by sex, given the importance of gender in shaping time use. 4-7 Dec, 2012 23 Integrating Gender Perspective in Statistics, Kampala

24. Average Time Spent on Broad activities aged 10 years and older 4-7 Dec, 2012 24 Integrating Gender Perspective in Statistics, Kampala

25. Participation Rate of the population, 10 year and older 4-7 Dec, 2012 25 Integrating Gender Perspective in Statistics, Kampala

26. Time Spent on Broad Category, 10 yrs and older 4-7 Dec, 2012 26 Integrating Gender Perspective in Statistics, Kampala

27. SNA Activities 4-7 Dec, 2012 27 Integrating Gender Perspective in Statistics, Kampala

28. Average Time Spent on SNA Work: 10 years and older 4-7 Dec, 2012 28 Integrating Gender Perspective in Statistics, Kampala

29. Participation Rate for SNA work: 10 years and older 4-7 Dec, 2012 29 Integrating Gender Perspective in Statistics, Kampala

30. Daily Time Spent by Actors involve in SNA Work 4-7 Dec, 2012 30 Integrating Gender Perspective in Statistics, Kampala

31. Participation Rate for Fetching Water: 10 years and older 4-7 Dec, 2012 31 Integrating Gender Perspective in Statistics, Kampala

32. Participation Rate for Collecting fuel: 10 years and older 4-7 Dec, 2012 32 Integrating Gender Perspective in Statistics, Kampala

33. NON-SNA PRODUCTION – UNPAID WORK 4-7 Dec, 2012 33 Integrating Gender Perspective in Statistics, Kampala

34. Average Time Spent on Unpaid Work: 10 year and older 4-7 Dec, 2012 34 Integrating Gender Perspective in Statistics, Kampala

35. Participation Rate for Extended SNA (Unpaid Work): 10 years and older 4-7 Dec, 2012 35 Integrating Gender Perspective in Statistics, Kampala

36. Daily time spent by persons involved on various extended SNA activities 4-7 Dec, 2012 36 Integrating Gender Perspective in Statistics, Kampala

37. NON- PRODUCTIVE ACTIVITIES: Learning Leisure & Personal Care NON- PRODUCTIVE ACTIVITIES: Learning Leisure & Personal Care 4-7 Dec, 2012 37 Integrating Gender Perspective in Statistics, Kampala

38. Time in minutes spent by actors involved in learning activities (4 digits), population aged 10-24, by sex and area of residence 4-7 Dec, 2012 38 Integrating Gender Perspective in Statistics, Kampala

39. Average time spent on leisure and personal care activities by sex by population aged 10 years and older 4-7 Dec, 2012 39 Integrating Gender Perspective in Statistics, Kampala

40. Participation rates on leisure and personal care by sex by population aged 10 years and older 4-7 Dec, 2012 40 Integrating Gender Perspective in Statistics, Kampala

41. Simultaneous Activities, minutes 4-7 Dec, 2012 41 Integrating Gender Perspective in Statistics, Kampala

42. 4-7 Dec, 2012Integrating Gender Perspective in Statistics, Kampala 42 Simultaneous Activities - SNA Work

43.  Satellite Account (Household Production Account)  Supply and Use Table (SUT)  Social Accounting Matrix (SAM)  Gender Aware Macroeconomic CGE model for policies that affects women and men 4-7 Dec, 2012 Integrating Gender Perspective in Statistics, Kampala 43

44.  Based on PoA 206 (b )Collect, compile, analyse and present on a regular basis data disaggregated by age, sex, socio-economic and other relevant indicators, including number of dependents, for utilization in policy and programme planning and implementation and to reflect problems and questions related to men and women in society.  Looking at an alternative approach for compiling Gender Statistics – the Use of Administrative data sources which are routinely generated to the Census and Surveys approach 4-7 Dec, 2012 Integrating Gender Perspective in Statistics, Kampala 44

45. Thank you for your kind attention 4-7 Dec, 2012 45 Integrating Gender Perspective in Statistics, Kampala