
The Purpose and Objective

The need for TUS

Integration of TUS in Statistics
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
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.
ASD SEMINAR ON GENDER STATISTICS
Tuesday, November 20,2012
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According to the strategic objective H.3 of
PoA clearly states that “Generate and
disseminate gender-disaggregated data
and information for planning and
evaluation”
ASD SEMINAR ON GENDER STATISTICS
Tuesday, November 20,2012
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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;
ASD SEMINAR ON GENDER STATISTICS
Tuesday, November 20,2012
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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.
ASD SEMINAR ON GENDER STATISTICS
Tuesday, November 20,2012
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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
ASD SEMINAR ON GENDER STATISTICS
Tuesday, November 20,2012
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
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.
ASD SEMINAR ON GENDER STATISTICS
Tuesday, November 20,2012
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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.

Integrating Gender Perspective in Statistics, Kampala
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
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”.
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4-7 Dec, 2012
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
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).
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4-7 Dec, 2012
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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.

Integrating Gender Perspective in Statistics, Kampala
4-7 Dec, 2012
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
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
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4-7 Dec, 2012
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 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.
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4-7 Dec, 2012
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
GTUS adopted
› Face – face recall interview
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4-7 Dec, 2012
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
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.
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4-7 Dec, 2012
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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
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4-7 Dec, 2012
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CHAPTER 3 SOCIO-ECONOMIC
CHARACTERISTICS
› 3.1 Educational attainment
› 3.2 Economic activity
› 3.3 Reason for not doing any work
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4-7 Dec, 2012
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
CHAPTER 4 HOUSING CONDITIONS
› 4.1Type of dwelling
› 4.2 Ownership of dwelling
› 4.3 Room occupancy
› 4.4 Household facilities and amenities
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4-7 Dec, 2012
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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
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4-7 Dec, 2012
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
PART 3
HOW GHANAIAN WOMEN AND MEN USE
THEIR TIME
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4-7 Dec, 2012
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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.
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4-7 Dec, 2012
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
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.
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4-7 Dec, 2012
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Average Time Spent on Broad activities aged 10
years and older
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Participation Rate of the population, 10 year and
older
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Time Spent on Broad Category, 10 yrs and older
1200
971
1000
921
Male
Female
800
600
446
400
372
313
292
229
200
111
0
SNA Activities
Extended SNA Activities
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Learning
4-7 Dec, 2012
Other Non-productive Activities
26
SNA Activities
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Average Time Spent on SNA Work: 10 years and older
103
Work for household providing services for
income
71
1
Work for household in construction
activities
10
Female
Male
33
Work for household in non-primary
production activities
21
70
Work for household in primary production
activities
121
Work for corporations/quasi
corporations, non-profit institutions and
government (formal sector work)
23
65
0
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20
40
4-7 Dec, 2012
60
80
100
120
28
140
Participation Rate for SNA work: 10 years and older
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Daily Time Spent by Actors involve in SNA Work
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Participation Rate for Fetching Water: 10 years and
older
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Participation Rate for Collecting fuel: 10 years and older
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NON-SNA PRODUCTION – UNPAID WORK
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Average Time Spent on Unpaid Work: 10 year and older
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Participation Rate for Extended SNA (Unpaid Work): 10 years and
older
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Daily time spent by persons involved on various extended SNA activities
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NON- PRODUCTIVE ACTIVITIES:
•Learning
•Leisure & Personal Care
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Time in minutes spent by actors involved in learning activities (4
digits), population aged 10-24, by sex and area of residence
General Education
450
400
Homework, Course
review, Research and
Activities Related to
General Education
Additional Study, Nonformal Education and
Courses During Free
Time
Career/Professional
Development Training
and Studies
350
300
250
200
150
Other Activities Carried
Out in Relation to
Learning Activities
100
50
Travel Related to
Learning
0
Male
Female
Male
URBAN
Integrating Gender Perspective in Statistics, Kampala
Female
RURAL
4-7 Dec, 2012
Learning Activities
n.e.c
38
Average time spent on leisure and personal care activities by sex
by population aged 10 years and older
744
717
Personal care and maintenance
76
Mass media
108
Indoor and outdoor sports
participation and related courses
4
23
Female
Hobbies, games and other pastime
activities
Male
5
18
Attending/visiting cultural,
entertainment and sports
events/venues
2
6
Socializing and community
participation
104
121
0
100
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200
300
4-7 Dec, 2012
400
500
600
700
39
800
Participation rates on leisure and personal care by sex by
population aged 10 years and older
100
Personal care and maintenance
100
50
Mass media
65
Indoor and outdoor sports
participation and related courses
5
Hobbies, games and other pastime
activities
6
21
Female
15
Attending/visiting cultural,
entertainment and sports
events/venues
Male
2
6
Socializing and community
participation
74
76
0
20
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4-7 Dec, 2012
60
80
100
40
120
Simultaneous Activities, minutes
34
Other Non-productive Activities
30
Female
Male
19
Learning
10
36
Non-SNA Activities
54
138
SNA Activities
156
0
20
40
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60
80
4-7 Dec, 2012
100
120
140
160
41
180
Simultaneous Activities - SNA Work
24
Work for household providing
services for income
10
1
Work for household in construction
activities
3
Female
Male
18
Work for household in non-primary
production activities
8
91
Work for household in primary
production activities
133
Work for corporations/quasi
corporations, non-profit institutions
and government (formal sector
work)
4
2
0
20
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40
4-7 Dec, 2012
60
80
100
120
42
140

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
Integrating Gender Perspective in Statistics, Kampala
4-7 Dec, 2012
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
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
Integrating Gender Perspective in Statistics, Kampala
4-7 Dec, 2012
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Thank you for your kind attention
Integrating Gender Perspective in Statistics, Kampala
4-7 Dec, 2012
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