MEASURING LABOUR FORCE PARTICIPATION OF WOMEN
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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
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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
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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.
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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.
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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
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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.
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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
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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.
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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.
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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.
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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
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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.
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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
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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.
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Labour Force Distribution: By Literacy status
80.4
19.6
60.1
39.9
69.7
30.3
01020
304050607080
90
Male Female National
Literate Non-Literate
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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
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Employment to population ratio: By Residence
78.2 79.270.7
57.1
0102030405060708090
Rural Urban
Male Female
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Employment to population ratio: By Education attainment
89.2
77.971.1
91.7 89.7
76.4
58.8
85.1
0
20
40
60
80
100
Male Female
No Schl Primary Secondary Sec +
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Status in employment
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64
148.5
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
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Average Hours of work per week: By Residence
34.9
27.8
47.641.9
0
10
20
30
40
50
Rural Urban
Male Female
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Gender and Productivity Survey2008
Preliminary Findings
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Participation Rate:By Residence - GPS
75.878.3
69.9
60.6
40
45
50
55
60
65
70
75
80
Rural Urban
Male Female
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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
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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
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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
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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.
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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
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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
1.10
102030405060708090
Formal marriage Non Formal marriage
Own Choice husband (at will) husband (agnst will)
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Major Household expenditure decisions (women quest.)
20.2
54.3
24.1
1.6
26
56.9
15.5
1.70
10
20
30
40
50
60
Formal marriage Non Formal marriage
Own Choice Husband Other
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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.
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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.
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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.
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Thank YouThank You