1
MEASURING LABOUR FORCE PARTICIPATION
OF WOMEN
(UGANDA’S EXPERIENCE)
BEN PAUL MUNGYEREZA (NSO)
AND
RICHARD NDIKURYAYO (GENDER MINISTRY)
Global Forum On Gender Statistics Accra, Ghana, January 26–28, 2009
2
Presentation Outline
Why measure women participation
Data sources
Collaboration to improve measurement
Selected Labour Market Indicators
Preliminary findings of the Gender and Productivity Survey
Efforts to build gender statistics in Uganda
3
Measuring women’s work
Purpose: To provide information
 We want to know:
 The status of women participation?
 We want to monitor:
If there are changes in labour force participation of
women
 Use information to improve policy and plans.
4
Data sources
 Two main data sources, which generate data
that is interpreted to support national-level
planning towards gender equality and equity.
 Censuses (after every ten years)
 National Household Surveys.
5
National Household Surveys
 Uganda National Household Surveys
every after 2 years
 Other household-based surveys
include:
 demographic and health survey (every 5 ),
 national service delivery surveys (every 4 years)
 etc
6
Efforts to improve the measurement
of women’s work in Uganda
 Uganda Bureau of Statistics (UBOS)
works very closely with all the
stakeholders.
 UBOS together with key stakeholders
developed the compendium of concepts
and definitions used in the National
Statistical System with Gender concepts
clearly spelt out.
7
Specific activities to improve the
measurement of women’s work in Uganda
 Consultative meetings
 Modular Approach
 Gender Analysis of Census and
Survey Reports
 Gender and Productivity Surveys
 Computation of Labour Market
Indicators
8
Consultative meetings
 Questionnaires prepared are shared out
with different stakeholders for their
input. UBOS always consults with
Ministry of Gender, Labour and Social
Development and Uganda Gender Forum.
 However, it must be noted that not all
suggested questions are always
included due to limited space in survey
questionnaire.
9
Modular Approach
 UBOS attaches more comprehensive
modules. For example, during the
2002/03 and 2005/2006 National
Household Surveys, separate and more
detailed labour module was attached.
 More detailed information on the labour
market in relation to gender and
women’s work was included.
10
Gender Analysis of Existing data
 Detailed gender analysis of Population and
Housing Censuses and National Household
Surveys.
 Analysis of existing data reveals a number
of gender issues that were omitted.
 The issues generated assist UBOS when
organizing subsequent censuses and
surveys to ensure that women’s work is
captured.
11
Gender and Productivity Survey
 The first ever Gender and productivity survey was conducted in
Uganda between October 2007 and February 2008
 Questions developed jointly between the Economic Policy
Research Centre, Uganda Bureau of Statistics and Ministry of
Gender, Labour and Social Development.
 Aimed at capturing more data particularly in the area of
women’s paid and unpaid work. The survey covered 4,291
households in the entire country.
 In addition to the regular socio-economic module, individual
questionnaires were developed for women and men on assets
ownership, health, roles in decision making, domestic violence,
etc
12
Gender and Productivity Survey cont..
 Woman’s questionnaire
 Decision regarding utilization of resources earned by the
woman
 Own choice VS husband’s choice
 Voluntary vs involuntary surrender of earnings to husband
 This important gender dimension has often been left out
by national household surveys.
 Extensive training for enumerators was
carried out to be able to fully capture women’s
contributions.
 The report for this survey is yet to be
completed. Only a draft has been developed.
13
Labour Market Indicators
 Size in the Labour force
 Labour force participation rate
 Employment to population ratio
 Status in employment
 Employment by sector
 Hours of work
14
Labour Force
 Definition: Economically active
population in segment 14 to 64 years
 Approx. 9.8 million (2003)
Males: 47.4%
 Females: 52.6%
 Slight male/female difference.
15
Labour Force Distribution:
By Literacy status
80.4
19.6
60.1
39.9
69.7
30.3
0
10
20
30
40
50
60
70
80
90
Male Female National
Literate Non-Literate
16
Labour Force Participation Rate:
By Residence
78.4
70.4
80.7 81.8
50
55
60
65
70
75
80
85
Urban Rural
Male Female
17
Employment to population
ratio: By Residence
78.2 79.2
70.7
57.1
0
10
20
30
40
50
60
70
80
90
Rural Urban
Male Female
18
Employment to population
ratio: By Education attainment
89.2
77.9
71.1
91.7 89.7
76.4
58.8
85.1
0
20
40
60
80
100
Male Female
No Schl Primary Secondary Sec +
19
Status in employment
22
64
14
8.5
51.2
40.3
15.2
57.4
27.4
0
10
20
30
40
50
60
70
Male Female National
Wage Self Empl Unpaid F
20
Average Hours of work per
week: By Residence
34.9
27.8
47.6
41.9
0
10
20
30
40
50
Rural Urban
Male Female
21
Gender and Productivity Survey
2008
Preliminary Findings
22
Participation Rate:
By Residence - GPS
75.8
78.3
69.9
60.6
40
45
50
55
60
65
70
75
80
Rural Urban
Male Female
23
Gender and Productivity
Survey
 The GPS preliminary results for
2008 are consistent with the
household survey results of 2003
 Participation rate for women in rural is
higher than urban
 Within rural, female participation rate is
higher than that for men
24
Share of unpaid family
workers - GPS
19.4
49.4
7.7
22.9
0
10
20
30
40
50
60
Rural Urban
Male Female
25
Share of unpaid family
work
 The GPS preliminary results are
consistent with the household
survey results
 More women are engaged in unpaid
family work
 There is more unpaid work in the
rural areas
26
Gender intensity in
production
 Knowing that women have access and
seek employment is important
 But it is also important to know how
women compare to men within category
 Gender intensity measures the share of
women in a given employment category.
27
Gender Intensity – GPS
(%age of women)
44.4
73.4
29.1
37.1
10
20
30
40
50
60
70
80 Self employed
Unpaid fam. Wk
Private employ.
Govt employ
Women
dominate in
unpaid
family
workers
28
Median wage per month in the
private sector (‘000 ug.shs)-GPS
60
35
150
75
0
20
40
60
80
100
120
140
160
Rural Urban
Male Female
29
Decision on spending
income earned by wife
71.4
26.4
2.3
82.6
16.4
1.1
0
10
20
30
40
50
60
70
80
90
Formal marriage Non Formal marriage
Own Choice husband (at will) husband (agnst will)
30
Major Household expenditure
decisions (women quest.)
20.2
54.3
24.1
1.6
26
56.9
15.5
1.7
0
10
20
30
40
50
60
Formal marriage Non Formal marriage
Own Choice Husband Other
31
Efforts to build Gender Statistics
in Uganda.
Efforts to improve measurement of women’s work
 Appending a module of activities list onto
National Household Survey questionnaire, to
capture the full range of economic activities in
which Ugandan women are engaged in.
 During the design of surveys, UBOS will
attempt to integrate women activity lists into
questionnaires.
32
Efforts to build Gender Statistics
in Uganda (cont’d..)
Institutional efforts
 UBOS has recruited an officer
specifically to handle gender statistics.
 Increased collaboration between the
Ministry of Gender, the National
Statistical Office and the Training
institutions.
33
Efforts to build Gender Statistics
in Uganda (cont’d..)
Institutional efforts …
 Through NSDS support, the Ministry for
Gender has developed its Strategy for the
development of statistics in the sector.
Statistics has been mainstreamed in the
sector and catered for in the budget for the
next FY
 Through the NSDS, the statistics unit under
the Ministry responsible for Gender has been
equipped and strengthened.
34
Thank You

More Related Content

PPTX
Anthony Orji_2023 AGRODEP Annual Conference
PDF
HLEG thematic workshop on Measurement of Well Being and Development in Africa...
PPT
Gender Budgeting & Relevance of Indicators
PDF
Gender Equality in the Irish Labour Market: A Work in Progress?
PPTX
Gender indicators and sex disaggregated data
PPTX
Gender indicators and sex disaggregated data
PPTX
Gender indicators and sex disaggregated data
PDF
Measuring Impact - Jennifer CURTIN (New Zealand)
Anthony Orji_2023 AGRODEP Annual Conference
HLEG thematic workshop on Measurement of Well Being and Development in Africa...
Gender Budgeting & Relevance of Indicators
Gender Equality in the Irish Labour Market: A Work in Progress?
Gender indicators and sex disaggregated data
Gender indicators and sex disaggregated data
Gender indicators and sex disaggregated data
Measuring Impact - Jennifer CURTIN (New Zealand)

Similar to ppt37.ppt (20)

PDF
Gender disagregated data
PDF
Equality For Women Where Do We Stand On Millennium Development Goal 3 Mayra B...
PDF
Measuring the impact - Tatyana TEPLOVA ( OECD)
PDF
H0322057065
PDF
Data Visualization: WOMEN TOWARDS GROWTH - IRELAND'S IMPACT
PDF
Democratic Politics Chapter 4 Grade 10 CBSE [ Gender, Religion and Caste ]
PPT
Gender Mainstreaming And Planning
PDF
Gender, social norms and the gender segmentation of labour markets: a case st...
PPTX
Women labour
PPTX
IV. Gender and change
PPT
Gender Budgeting for Labour Enforcement Officers
PDF
Empowering Girls Through Education in Uganda
PDF
Elisabeth_White_GB_link_policy_objectives_OECD_Sept_2022.pdf
PPTX
Gender Budgeting- Enhancing economic wellbeing through gender mainstreaming
PPT
Women and Work: Role of Policies and Programmes
PDF
Yms.gender and law in dr.feb 2012
PDF
Gender budgeting - Herdis Solborg HARALDSDOTTIR, Iceland
PPTX
2. Gender Issues.pptx
PDF
Fowodenewsletter 2013
PDF
Item 12 - Whole of Government Gender Strategy - Elisabeth WHITE (Sweden)
Gender disagregated data
Equality For Women Where Do We Stand On Millennium Development Goal 3 Mayra B...
Measuring the impact - Tatyana TEPLOVA ( OECD)
H0322057065
Data Visualization: WOMEN TOWARDS GROWTH - IRELAND'S IMPACT
Democratic Politics Chapter 4 Grade 10 CBSE [ Gender, Religion and Caste ]
Gender Mainstreaming And Planning
Gender, social norms and the gender segmentation of labour markets: a case st...
Women labour
IV. Gender and change
Gender Budgeting for Labour Enforcement Officers
Empowering Girls Through Education in Uganda
Elisabeth_White_GB_link_policy_objectives_OECD_Sept_2022.pdf
Gender Budgeting- Enhancing economic wellbeing through gender mainstreaming
Women and Work: Role of Policies and Programmes
Yms.gender and law in dr.feb 2012
Gender budgeting - Herdis Solborg HARALDSDOTTIR, Iceland
2. Gender Issues.pptx
Fowodenewsletter 2013
Item 12 - Whole of Government Gender Strategy - Elisabeth WHITE (Sweden)

More from KartikSawant5 (8)

PPTX
Foreign Trade Company Profile by Slidesgo.pptx
PPTX
mineralandpowerresources-131108085822-phpapp01 (1).pptx
PPT
Family_Planning.ppt
PPT
18 Unit 8 Immigrants.ppt
PDF
Classical-Theory-of-Employment-Says-Law.pdf
PPTX
DTM (1).pptx
PPTX
2_CR_Systems_Final_V1.0.pptx
PDF
BUSINESS-ECONOMICS-III.pdf
Foreign Trade Company Profile by Slidesgo.pptx
mineralandpowerresources-131108085822-phpapp01 (1).pptx
Family_Planning.ppt
18 Unit 8 Immigrants.ppt
Classical-Theory-of-Employment-Says-Law.pdf
DTM (1).pptx
2_CR_Systems_Final_V1.0.pptx
BUSINESS-ECONOMICS-III.pdf

Recently uploaded (20)

PPTX
DRUGS USED FOR HORMONAL DISORDER, SUPPLIMENTATION, CONTRACEPTION, & MEDICAL T...
PPTX
A powerpoint presentation on the Revised K-10 Science Shaping Paper
PDF
LIFE & LIVING TRILOGY - PART - (2) THE PURPOSE OF LIFE.pdf
PDF
LIFE & LIVING TRILOGY- PART (1) WHO ARE WE.pdf
PDF
1.3 FINAL REVISED K-10 PE and Health CG 2023 Grades 4-10 (1).pdf
PDF
FORM 1 BIOLOGY MIND MAPS and their schemes
PDF
David L Page_DCI Research Study Journey_how Methodology can inform one's prac...
PDF
Climate and Adaptation MCQs class 7 from chatgpt
PDF
BP 505 T. PHARMACEUTICAL JURISPRUDENCE (UNIT 1).pdf
PDF
Environmental Education MCQ BD2EE - Share Source.pdf
PPTX
Share_Module_2_Power_conflict_and_negotiation.pptx
PPTX
Introduction to pro and eukaryotes and differences.pptx
PDF
CISA (Certified Information Systems Auditor) Domain-Wise Summary.pdf
PDF
BP 505 T. PHARMACEUTICAL JURISPRUDENCE (UNIT 2).pdf
PDF
Vision Prelims GS PYQ Analysis 2011-2022 www.upscpdf.com.pdf
PDF
Myanmar Dental Journal, The Journal of the Myanmar Dental Association (2013).pdf
PDF
Complications of Minimal Access-Surgery.pdf
PDF
FOISHS ANNUAL IMPLEMENTATION PLAN 2025.pdf
PDF
Race Reva University – Shaping Future Leaders in Artificial Intelligence
PDF
Journal of Dental Science - UDMY (2020).pdf
DRUGS USED FOR HORMONAL DISORDER, SUPPLIMENTATION, CONTRACEPTION, & MEDICAL T...
A powerpoint presentation on the Revised K-10 Science Shaping Paper
LIFE & LIVING TRILOGY - PART - (2) THE PURPOSE OF LIFE.pdf
LIFE & LIVING TRILOGY- PART (1) WHO ARE WE.pdf
1.3 FINAL REVISED K-10 PE and Health CG 2023 Grades 4-10 (1).pdf
FORM 1 BIOLOGY MIND MAPS and their schemes
David L Page_DCI Research Study Journey_how Methodology can inform one's prac...
Climate and Adaptation MCQs class 7 from chatgpt
BP 505 T. PHARMACEUTICAL JURISPRUDENCE (UNIT 1).pdf
Environmental Education MCQ BD2EE - Share Source.pdf
Share_Module_2_Power_conflict_and_negotiation.pptx
Introduction to pro and eukaryotes and differences.pptx
CISA (Certified Information Systems Auditor) Domain-Wise Summary.pdf
BP 505 T. PHARMACEUTICAL JURISPRUDENCE (UNIT 2).pdf
Vision Prelims GS PYQ Analysis 2011-2022 www.upscpdf.com.pdf
Myanmar Dental Journal, The Journal of the Myanmar Dental Association (2013).pdf
Complications of Minimal Access-Surgery.pdf
FOISHS ANNUAL IMPLEMENTATION PLAN 2025.pdf
Race Reva University – Shaping Future Leaders in Artificial Intelligence
Journal of Dental Science - UDMY (2020).pdf

ppt37.ppt

  • 1. 1 MEASURING LABOUR FORCE PARTICIPATION OF WOMEN (UGANDA’S EXPERIENCE) BEN PAUL MUNGYEREZA (NSO) AND RICHARD NDIKURYAYO (GENDER MINISTRY) Global Forum On Gender Statistics Accra, Ghana, January 26–28, 2009
  • 2. 2 Presentation Outline Why measure women participation Data sources Collaboration to improve measurement Selected Labour Market Indicators Preliminary findings of the Gender and Productivity Survey Efforts to build gender statistics in Uganda
  • 3. 3 Measuring women’s work Purpose: To provide information  We want to know:  The status of women participation?  We want to monitor: If there are changes in labour force participation of women  Use information to improve policy and plans.
  • 4. 4 Data sources  Two main data sources, which generate data that is interpreted to support national-level planning towards gender equality and equity.  Censuses (after every ten years)  National Household Surveys.
  • 5. 5 National Household Surveys  Uganda National Household Surveys every after 2 years  Other household-based surveys include:  demographic and health survey (every 5 ),  national service delivery surveys (every 4 years)  etc
  • 6. 6 Efforts to improve the measurement of women’s work in Uganda  Uganda Bureau of Statistics (UBOS) works very closely with all the stakeholders.  UBOS together with key stakeholders developed the compendium of concepts and definitions used in the National Statistical System with Gender concepts clearly spelt out.
  • 7. 7 Specific activities to improve the measurement of women’s work in Uganda  Consultative meetings  Modular Approach  Gender Analysis of Census and Survey Reports  Gender and Productivity Surveys  Computation of Labour Market Indicators
  • 8. 8 Consultative meetings  Questionnaires prepared are shared out with different stakeholders for their input. UBOS always consults with Ministry of Gender, Labour and Social Development and Uganda Gender Forum.  However, it must be noted that not all suggested questions are always included due to limited space in survey questionnaire.
  • 9. 9 Modular Approach  UBOS attaches more comprehensive modules. For example, during the 2002/03 and 2005/2006 National Household Surveys, separate and more detailed labour module was attached.  More detailed information on the labour market in relation to gender and women’s work was included.
  • 10. 10 Gender Analysis of Existing data  Detailed gender analysis of Population and Housing Censuses and National Household Surveys.  Analysis of existing data reveals a number of gender issues that were omitted.  The issues generated assist UBOS when organizing subsequent censuses and surveys to ensure that women’s work is captured.
  • 11. 11 Gender and Productivity Survey  The first ever Gender and productivity survey was conducted in Uganda between October 2007 and February 2008  Questions developed jointly between the Economic Policy Research Centre, Uganda Bureau of Statistics and Ministry of Gender, Labour and Social Development.  Aimed at capturing more data particularly in the area of women’s paid and unpaid work. The survey covered 4,291 households in the entire country.  In addition to the regular socio-economic module, individual questionnaires were developed for women and men on assets ownership, health, roles in decision making, domestic violence, etc
  • 12. 12 Gender and Productivity Survey cont..  Woman’s questionnaire  Decision regarding utilization of resources earned by the woman  Own choice VS husband’s choice  Voluntary vs involuntary surrender of earnings to husband  This important gender dimension has often been left out by national household surveys.  Extensive training for enumerators was carried out to be able to fully capture women’s contributions.  The report for this survey is yet to be completed. Only a draft has been developed.
  • 13. 13 Labour Market Indicators  Size in the Labour force  Labour force participation rate  Employment to population ratio  Status in employment  Employment by sector  Hours of work
  • 14. 14 Labour Force  Definition: Economically active population in segment 14 to 64 years  Approx. 9.8 million (2003) Males: 47.4%  Females: 52.6%  Slight male/female difference.
  • 15. 15 Labour Force Distribution: By Literacy status 80.4 19.6 60.1 39.9 69.7 30.3 0 10 20 30 40 50 60 70 80 90 Male Female National Literate Non-Literate
  • 16. 16 Labour Force Participation Rate: By Residence 78.4 70.4 80.7 81.8 50 55 60 65 70 75 80 85 Urban Rural Male Female
  • 17. 17 Employment to population ratio: By Residence 78.2 79.2 70.7 57.1 0 10 20 30 40 50 60 70 80 90 Rural Urban Male Female
  • 18. 18 Employment to population ratio: By Education attainment 89.2 77.9 71.1 91.7 89.7 76.4 58.8 85.1 0 20 40 60 80 100 Male Female No Schl Primary Secondary Sec +
  • 20. 20 Average Hours of work per week: By Residence 34.9 27.8 47.6 41.9 0 10 20 30 40 50 Rural Urban Male Female
  • 21. 21 Gender and Productivity Survey 2008 Preliminary Findings
  • 22. 22 Participation Rate: By Residence - GPS 75.8 78.3 69.9 60.6 40 45 50 55 60 65 70 75 80 Rural Urban Male Female
  • 23. 23 Gender and Productivity Survey  The GPS preliminary results for 2008 are consistent with the household survey results of 2003  Participation rate for women in rural is higher than urban  Within rural, female participation rate is higher than that for men
  • 24. 24 Share of unpaid family workers - GPS 19.4 49.4 7.7 22.9 0 10 20 30 40 50 60 Rural Urban Male Female
  • 25. 25 Share of unpaid family work  The GPS preliminary results are consistent with the household survey results  More women are engaged in unpaid family work  There is more unpaid work in the rural areas
  • 26. 26 Gender intensity in production  Knowing that women have access and seek employment is important  But it is also important to know how women compare to men within category  Gender intensity measures the share of women in a given employment category.
  • 27. 27 Gender Intensity – GPS (%age of women) 44.4 73.4 29.1 37.1 10 20 30 40 50 60 70 80 Self employed Unpaid fam. Wk Private employ. Govt employ Women dominate in unpaid family workers
  • 28. 28 Median wage per month in the private sector (‘000 ug.shs)-GPS 60 35 150 75 0 20 40 60 80 100 120 140 160 Rural Urban Male Female
  • 29. 29 Decision on spending income earned by wife 71.4 26.4 2.3 82.6 16.4 1.1 0 10 20 30 40 50 60 70 80 90 Formal marriage Non Formal marriage Own Choice husband (at will) husband (agnst will)
  • 30. 30 Major Household expenditure decisions (women quest.) 20.2 54.3 24.1 1.6 26 56.9 15.5 1.7 0 10 20 30 40 50 60 Formal marriage Non Formal marriage Own Choice Husband Other
  • 31. 31 Efforts to build Gender Statistics in Uganda. Efforts to improve measurement of women’s work  Appending a module of activities list onto National Household Survey questionnaire, to capture the full range of economic activities in which Ugandan women are engaged in.  During the design of surveys, UBOS will attempt to integrate women activity lists into questionnaires.
  • 32. 32 Efforts to build Gender Statistics in Uganda (cont’d..) Institutional efforts  UBOS has recruited an officer specifically to handle gender statistics.  Increased collaboration between the Ministry of Gender, the National Statistical Office and the Training institutions.
  • 33. 33 Efforts to build Gender Statistics in Uganda (cont’d..) Institutional efforts …  Through NSDS support, the Ministry for Gender has developed its Strategy for the development of statistics in the sector. Statistics has been mainstreamed in the sector and catered for in the budget for the next FY  Through the NSDS, the statistics unit under the Ministry responsible for Gender has been equipped and strengthened.