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Painting a Portrait of U.S. Military Veterans. Descriptive Analysis of Data from the U.S. Census and the U.S. Department of Veterans Affairs, 2000-2010. Dani Molina Graduate School of Education and Information Studies University of California, Los Angeles. Background on Military Veterans.
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Painting a Portrait of U.S. Military Veterans Descriptive Analysis of Data from the U.S. Census and the U.S. Department of Veterans Affairs, 2000-2010 Dani Molina Graduate School of Education and Information Studies University of California, Los Angeles
Background on Military Veterans • Over 1.5 million servicemembers have participated during Operation Iraqi Freedom (2003-2011) and/or Operation Enduring Freedom (2001-Present). • Many of them will be expected to transition into civilian life, becoming veterans. • Currently, there are no descriptive or empirical studies that investigate the characteristics and needs of veterans. • What economic, health, educational, and employment features can we learn about veterans?
GIS Skills Utilized • Point graduated symbol • Aggregating attribute fields • Creating indices • Attribute sub-sets selections • Boundary sub-sets selections • Geoprocessing
Educational Attainment for Veterans and Nonveterans Veteran Educational Attainment by Regions
Median Income for Veterans and Nonveterans
Unemployment Status for Veterans and Nonveterans
Main Findings • Net loss of veterans overall considering the wars in Iraq and Afghanistan. • The number of veterans aspiring to earn a college or university degree has been steadily increasing since 2000. • Veterans are less likely to be unemployed and more likely to have higher median incomes (per household) and baccalaureate degrees than nonveterans. • However, veterans are significantly more likely to have a disability compared to nonveterans.
Future Inquiries and Research • What services and/or programs, if any, might veterans need to transition into civilian life? • Disparate Impact Analysis (DIA) given race, age, sex, income, and other factors. • Focus on a specific location, such as Los Angeles, and explore associations between available data.