Transcript MAINSTREAMING GENDER IN LABOUR STATISTICS Mainstreaming essential -For gender programmes -For social programmes -For understanding labour market International Labour Office, Bureau of Statistics.

MAINSTREAMING GENDER
IN LABOUR STATISTICS
Mainstreaming essential
-For gender programmes
-For social programmes
-For understanding labour market
International Labour Office, Bureau of Statistics
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WHY MAINSTREAMING GENDER?
 To implement, monitor, analyse and evaluate policies
and programmes on GENDER EQUALITY
Core principle of the ILO
Governments strongly committed
Beijing Platform for Action
TO IMPROVE STATISTICS THEMSELVES
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LABOUR STATISTICS
•Provide descriptions of the size, structure and
characteristics of the various participants in the labour
market, and changes
•“Typical” work situations better covered
•Women more likely to be in “atypical” work situations
Contribution of women to the national economy underestimated
and misrepresented
Policies and programmes designed on the basis of statistics that
partially reflect workers’ contributions
Need to have gender concerns as a measurement objective
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GENDER STATISTICS
•Not just statistics by sex!
But statistics that are useful for describing and analysing
differences and similarities between the situation of men and
women in the area of work (work activities, conditions, rewards)
considering personal and family situations
 Relevant labour topics
 Covering ALL workers and work situations
 Disaggregated in sufficient detail
 Crossclassified by useful variables
Result: statistics of higher quality and more useful for all users
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HOW TO MAINSTREAM GENDER?
•
Evaluate:
– Disaggregation by sex
– Topics covered
– Definitions and classifications used
– Measurement methodologies
– Presentation strategies
•
Reveal strengths and shortcomings
•
Identify where and how to improve
 Strong commitment at all levels of NSI
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DISAGGREGATION BY SEX
•Problem of concept
–Labour cost
–Price indexes
•Problem of recording
–Establishment surveys
–Administrative records
•Problem of presentation
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COVERAGE OF TOPICS
•Balancing of work and family life
•Informal economy and non-SNA work
•Labour market segregation
•Income inequalities
•MDG11: Share of women in non-agricultural paid
employment
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Definitions and classifications
• Definitions ensure full coverage
• Reference periods
• Classifications- sufficient details
–Occupations
–Status in employment
–Industries
–Injuries
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Measurement methods
Should follow the definitions, ensure full coverage and
guarantee sufficient detail
•Establishment surveys- staff management
•Administrative records- support the administrative functions
–Useful for particular groups that are well covered
•Household surveys
•Time use surveys
– preferred sources for gender analysis
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Mainstreaming gender into measurement methods
-Evaluate laws or regulations governing administrative
procedures (type and range of information, level of
detail)
-Sample size- sufficient precision, meaningful (HS, ES)
- All work situations are covered (HS)
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PRESENTATION
USEFUL CROSS-CLASSIFICATIONS
Demographic: sex, age
Economic: occupations, status in employment, income
Social: education, marital status
Family context: presence of children or other members
requiring care
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CHECKLIST OF GOOD PRACTICES
(a) Political will at all levels essential
(b) All relevant topics are included (specified-not
exhaustive)
(c) Definitions and measurement methods cover all
workers and work situations it sufficient detail
(d) Gender statistics always presented in regular
statistical publications
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MDG Indicator 11
No.countries reporting female wage employment in nonagriculture (ECE region)
45
40
35
30
25
20
15
10
5
0
1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001
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Women wage employment:administrative and managerial
occupations (No.of countres-World)
80
70
60
50
40
30
20
10
0
1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002
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Women employment by sector (No.of countries- world)
90
80
70
60
50
40
30
20
10
0
1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001
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70
Women employment by status: Av. No.of countries 1990-2001
(world)
60
50
40
30
20
10
0
Total
employment
Wage &
salaried
w orkers
(employees)
Total selfemployed
w orkers
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Employers
Ow n-account Contributing
w orkers
family
w orkers
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Women employment by status:No of countries (World)
80
70
60
50
40
30
Total employment
Wage & salaried
workers (employees)
Total self-employed
workers
Employers
20
10
19
90
19
91
19
92
19
93
19
94
19
95
19
96
19
97
19
98
19
99
20
00
20
01
0
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Own-account workers
Contributing family
workers
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