Data analysis is presented at IndyBigData Visualization Challenge 2018. Data is provided by MPH - see https://www.indybigdata.com/visualization-challenge/
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Gender Disparity in Employment and Education
1. Indiana University Bloomington
School of Informatics, Computing and Engineering
Vatsal Jatakia
Anurag Joshi
Roshith Raghavan
Olga Scrivner
Katy Borner
School of Public and Environmental Affairs
Livia Crim
David Lebhar
Kosali Simon
Coady Wing
Females are a clear majority in high-growth industries
and associated educational pipelines.
Gender imbalance is unsustainable in the current and
projected economic and workforce environment.
1
2. US Census Bureau: Quarterly Workforce Indicators
https://www.census.gov/data/developers/data-sets/qwi.html
Indiana Data Hub: Occupation Projections 2026
https://hub.mph.in.gov/dataset/occupational-projections
Indiana Data Hub: CIP-SOC Crosswalk
https://hub.mph.in.gov/dataset/classification-of-instructional-programs-to-standard-occupation-codes-crosswalk
Bureau of Labor Statistics: Labor Force Participation Rates (1950 – 2050)
https://www.bls.gov/opub/ted/2007/jan/wk2/art03.htm
National Center for Education Statistics: Integrated Postsecondary Education Data System (IPEDS)
https://nces.ed.gov/ipeds/datacenter/DataFiles.aspx
Data
2
4. 526K
337K
226K
425K
191K
112K
Percent Difference in Total Jobs in Indiana by Industry (1999 vs 2016)
Manufacturing
Healthcare and
Social Assistance
Retail Trade
Educational Services
Administrative,
Support, and Other
Services
Professional,
Scientific, and
Technical Services
Credit: Anurag Joshi | Data Source: QWI 4
5. Is there gender balance within these
high-growth or high-decline industries?
5
No
6. Percent Female within Industries (2016)
Male
Female
Manufacturing Retail Healthcare Education Services
Credit: Vatsal Jatakia | Data Source: QWI 6
7. Is there a correlation between industry growth
and the percent of females in each industry?
7
Yes
8. 25
-25
0
25 50 75 100
Manufacturing
Healthcare
Retail
Education
Services Science
%IndustryGrowth/Decline
% Female within Industry
0
Correlation Between Industry Growth and Percent Female
Credit: David Lebhar | Data Source: QWI 8
9. Why is this significant?
9
At least three reasons…
11. Civilian Labor Force Participation Rates by Sex
1950 - 2005 and Projected from 2010 - 2050
Male
Female
90
Percent
70
50
30
10
1950 1960 1970 1980 1990 2000 2005 2010 2020 2030 2040 2050
Credit: Livia Crim | Data Source: BLS
11
12. Employment by Sex in Indiana – All Industries (1999 – 2016)
Male
Female
BaseEmploymentCount(millions)
7.4
7.0
6.6
6.2
5.8
1999 2001 2003 2005 2007 2009 2011 2013 2015
Credit: Vatsal Jatakia | Data Source: QWI 12
13. Is the education pipeline leading to better
gender balance within high-growth industries?
13
No
14. Percent Female within Largest Fields of Study (Indiana 2016)
Health Professions
Business &
Management
Education
Liberal Arts,
Sciences,
Humanities
Engineering
Technologies
Computer Science
Male
Female
86%
59%
79%
61%
11%
20%
Credit: Livia Crim | Data Source: IPEDS 14
15. Mapping Education to Occupation (Indiana 2016)
Office/Administration Training/Library Healthcare
Business & Management Sales Production Occupations
Credit: Roshith Raghavan | Data Source: IPEDS and CIP-SOC Crosswalk
15
16. Key Findings & Future Research
• Females are a clear majority in high-growth occupations.
• Females are a clear majority in the current education pipeline leading to
high-growth occupations.
• Gender imbalance is a significant issue in current and projected
economic and workforce environment.
• Adult education and worker training programs may provide additional
avenues into high-growth occupations, leading to gender balance – an
area for further research.
16