The Purpose and Objective The need for TUS Integration of TUS in Statistics 4-7 Dec, 2012 2...
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Transcript of The Purpose and Objective The need for TUS Integration of TUS in Statistics 4-7 Dec, 2012 2...
The Purpose and Objective
The need for TUS
Integration of TUS in Statistics
4-7 Dec, 2012 2Integrating Gender Perspective in Statistics, Kampala
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 20,2012ASD SEMINAR ON GENDER STATISTICS 3
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 20,2012ASD SEMINAR ON GENDER STATISTICS 4
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 20,2012ASD SEMINAR ON GENDER STATISTICS 5
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 20,2012ASD SEMINAR ON GENDER STATISTICS 6
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 20,2012ASD SEMINAR ON GENDER STATISTICS 7
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 20,2012ASD SEMINAR ON GENDER STATISTICS 8
With the developments at the international level, the United Nations Economic Commission for Africa (UNECA), on its 40th 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 9Integrating Gender Perspective in Statistics, Kampala
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 10Integrating Gender Perspective in Statistics, Kampala
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 11Integrating Gender Perspective in Statistics, Kampala
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 12Integrating Gender Perspective in Statistics, Kampala
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 Expenditure4-7 Dec, 2012 13Integrating Gender Perspective in Statistics, Kampala
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 14Integrating Gender Perspective in Statistics, Kampala
GTUS adopted
› Face – face recall interview
4-7 Dec, 2012Integrating Gender Perspective in Statistics, Kampala 15
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 16Integrating Gender Perspective in Statistics, Kampala
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 17Integrating Gender Perspective in Statistics, Kampala
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 18Integrating Gender Perspective in Statistics, Kampala
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 19Integrating Gender Perspective in Statistics, Kampala
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 expenditure4-7 Dec, 2012 20Integrating Gender Perspective in Statistics, Kampala
PART 3
HOW GHANAIAN WOMEN AND MEN USE THEIR TIME
4-7 Dec, 2012 21Integrating Gender Perspective in Statistics, Kampala
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 22Integrating Gender Perspective in Statistics, Kampala
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 23Integrating Gender Perspective in Statistics, Kampala
Average Time Spent on Broad activities aged 10 years and older
4-7 Dec, 2012 24Integrating Gender Perspective in Statistics, Kampala
Participation Rate of the population, 10 year and older
4-7 Dec, 2012 25Integrating Gender Perspective in Statistics, Kampala
Time Spent on Broad Category, 10 yrs and older
4-7 Dec, 2012 26Integrating Gender Perspective in Statistics, Kampala
SNA Activities
4-7 Dec, 2012 27Integrating Gender Perspective in Statistics, Kampala
Average Time Spent on SNA Work: 10 years and older
4-7 Dec, 2012 28Integrating Gender Perspective in Statistics, Kampala
Participation Rate for SNA work: 10 years and older
4-7 Dec, 2012 29Integrating Gender Perspective in Statistics, Kampala
Daily Time Spent by Actors involve in SNA Work
4-7 Dec, 2012 30Integrating Gender Perspective in Statistics, Kampala
Participation Rate for Fetching Water: 10 years and older
4-7 Dec, 2012 31Integrating Gender Perspective in Statistics, Kampala
Participation Rate for Collecting fuel: 10 years and older
4-7 Dec, 2012 32Integrating Gender Perspective in Statistics, Kampala
NON-SNA PRODUCTION – UNPAID WORK
4-7 Dec, 2012 33Integrating Gender Perspective in Statistics, Kampala
Average Time Spent on Unpaid Work: 10 year and older
4-7 Dec, 2012 34Integrating Gender Perspective in Statistics, Kampala
Participation Rate for Extended SNA (Unpaid Work): 10 years and older
4-7 Dec, 2012 35Integrating Gender Perspective in Statistics, Kampala
Daily time spent by persons involved on various extended SNA activities
4-7 Dec, 2012 36Integrating Gender Perspective in Statistics, Kampala
NON- PRODUCTIVE ACTIVITIES:•Learning•Leisure & Personal Care
4-7 Dec, 2012 37Integrating Gender Perspective in Statistics, Kampala
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 38Integrating Gender Perspective in Statistics, Kampala
Average time spent on leisure and personal care activities by sex by population aged 10 years and older
4-7 Dec, 2012 39Integrating Gender Perspective in Statistics, Kampala
Participation rates on leisure and personal care by sex by population aged 10 years and older
4-7 Dec, 2012 40Integrating Gender Perspective in Statistics, Kampala
Simultaneous Activities, minutes
4-7 Dec, 2012 41Integrating Gender Perspective in Statistics, Kampala
4-7 Dec, 2012Integrating Gender Perspective in Statistics, Kampala 42
Simultaneous Activities - SNA Work
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, 2012Integrating Gender Perspective in Statistics, Kampala 43
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, 2012Integrating Gender Perspective in Statistics, Kampala 44
Thank you for your kind attention
4-7 Dec, 2012 45Integrating Gender Perspective in Statistics, Kampala