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Painting the PictureA Statistical Update on Women in Engineering in
Australia
Melissa Marinelli and Martina Calais15th International Conference for Women Engineers
and ScientistsAdelaide, July 2011
• Why? - Motivation and Aims• How? – Our Approach• What? - Key Statistics: Summary &
Significance• Next Steps
Overview
Motivation - Involvement in Women in Engineering activities• How effective are the efforts and is progress being made?• Regular publication of gendered statistics allows analysis of
trends
Aim – A foundation for a regular update of data• Painted the picture of women’s participation in:
• Engineering studies in Australia• Engineering workforce in Australia
• Be a foundation for a regular update of gendered statistical data
Why? – Motivation and Aims
• The Engineering Profession: A Statistical Overview 7th ed (Kaspura, 2010)
• The Engineering Profession in Australia, A Profile from the 2006 Population Census (Kaspura, 2010)
Data Source
• Data extracted from sources, segmented for gender
• Engineering Studies – 2001 to 2008• Workforce – 2006 snapshot
• Engineering Labour Force• Comparison group
Method
How? - Research Approach
Participation in
Engineering
Studies
Women with
Engineering
Qualifications
What? – Key Statistics
Commencements
Enrolments
Completions
1. Engineering Studies
2001 TO 2008
1. Engineering Studies
2001 2002 2003 2004 2005 2006 2007 200810.0
12.0
14.0
16.0
18.0
20.0
22.0
24.0
% Female Completions (all courses)
% Female - All Completions % Female of all Domestic Completions % Female of all Overseas Completions
Year
%
Engineering Labour Force -
Gender (%)Engineerin
g Qualificatio
ns – Employment Status Engineerin
g Qualificatio
ns – Employment Status by Age
2. Women with Engineering Qualifications
2006 SNAPSHOT
2. Women with Engineering Qualifications
Employment full time68%
Employment part time9%
Employed, away4%
Unemployed, looking FT2%
Unemployed, looking PT1%
Not in the labour force17%
Engineering Labour Force, Males
Em-ploy-
ment full time49%
Employment part time18%
Employed, away4%
Unemployed, looking FT2%
Unemployed, looking PT2%
Not in the labour force26%
Engineering Labour Force, Females
Gender Pay Gap – FT and PT
Engineering Labour Force
Distribution
• Economic Sector
• Industry Sector
Engineering Labour
Force Distributio
n
• Occupation Type
3. Engineering Workforce – Issues
2006 SNAPSHOT
3. Engineering Labour Force – Pay Gap
Negati
ve Inc
ome
Nil Inco
me1 -
149
150 - 2
49
250 - 3
99
400 - 5
99
600 - 7
99
800 - 9
99
1000 -
1299
1300 -
1599
1600 -
1999
2000 o
r more
0%
5%
10%
15%
20%
25%
30%
Weekly Income – Full-time Employees
Male Female
3. Engineering Labour Force – Segregation
AgricultureMining
ManufacturingElectricity, Gas, Water, Waste
ConstructionWholesale Trade
Retail TradeAccomodation & FoodTransport and Postal
Information and TelecommunicationsFinancial & Insurance
Rental, Hiring & Real EstateProfessional & Technical Services
Administrative & SupportPublic Administration & Safety
Education & TrainingHealth Care & Social
Arts & RecreationOther Services
Inadequately DescribedNot Stated
TOTAL
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%8%7%9%7%
5%10%
18%19%
6%8%
16%10%9%13%
8%16%
26%13%
8%8%
14%10%
92%93%91%93%
95%90%
82%81%
94%92%
84%90%91%
87%92%
84%74%
87%92%92%
86%90%
Engineering Labour Force - Employment by Industry Sector (%, Gender)
Females Males
3. Engineering Labour Force – Segregation
0%10%20%30%40%50%60%70%80%90%
100%
94% 90% 94%80% 77% 81%
95%86% 92% 84%
6% 10% 6%20% 23% 19%
5%14% 8% 16%
Engineering Labour Force - Occupation Type
Male Female
HIGHLIGHTS Slight growth in women in engineering studies
Gender difference in uptake of FT and PT workGender Pay Gap and Labour Force Gender
Segregation IMPLICATIONS Focus needed on
overseas students Opportunity to increase availability of PT work
Address Pay Gap!NEXT STEPS Develop statistics for publication on web
Update following 2011 censusConsider impact on EA and workplace activities
Conclusion and Next Steps
Thank you
Extra
1. Engineering Studies
2001 2002 2003 2004 2005 2006 2007 20080%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
84.1 84.4 85.1 85.1 84.9 84.3 84.0 82.7
15.9 15.6 14.9 14.9 15.1 15.7 16.0 17.3
Engineering Course Commencements - % by Gender
Male Female
1. Engineering Studies
2001 2002 2003 2004 2005 2006 2007 200810.0
12.0
14.0
16.0
18.0
20.0
22.0
24.0
26.0
28.0
30.0Female Commencements - % (all courses)
% Female - All Commencements % Female of all Domestic Commencements
% Female of all Overseas Commencements
1. Engineering Studies
2001 2002 2003 2004 2005 2006 2007 20080%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
84.1 84.0 84.2 84.3 84.5 84.5 84.5 84.2
15.9 16.0 15.8 15.7 15.5 15.5 15.5 15.8
Engineering Course Enrollments - % by Gender
Male Female
1. Engineering Studies
2001 2002 2003 2004 2005 2006 2007 20080%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
82.9 83.1 82.9 83.3 82.9 83.5 83.1 82.4
17.1 16.9 17.1 16.7 17.1 16.5 16.9 17.6
Engineering Course Completions - % by Gender
Male Female
3. Engineering Labour Force – Inequities
Negati
ve Inc
ome
Nil Inco
me1 -
149
150 - 2
49
250 - 3
99
400 - 5
99
600 - 7
99
800 - 9
99
1000 -
1299
1300 -
1599
1600 -
1999
2000 o
r more
-5%
0%
5%
10%
15%
20%
25%
30%
Weekly Income – Part-time Employees
Male Female