Presentation Title

Comparing Racial Diversity Between Oakland and Los Angeles

Presenter Information

Armon SandersFollow

Faculty Mentor

Armon Sanders

Start Date

17-11-2018 3:00 PM

End Date

17-11-2018 5:00 PM

Location

CREVELING 37

Session

POSTER 3

Type of Presentation

Poster

Subject Area

behavioral_social_sciences

Abstract

This project focuses on measuring and comparing the racial diversity between Oakland and Los Angeles. An entropy index score is employed to calculate and measure racial diversity. An area that has a high entropy index score has an even balance of many different racial groups, while an area that has a low entropy index score leans towards one predominant racial group. As of 2016, data from the American Community Survey and the U.S. Census shows that Oakland had a higher entropy index score than Los Angeles because it had a higher percentage of Asians and African-Americans than Los Angeles, closing in on an even balance of four different racial and ethnic groups in Oakland (Whites, African-Americans, Latinos, and Asians). On the other hand, Los Angeles had a much higher percentage of Latinos, which by far were the predominant ethnic group in Los Angeles. This project includes a spatial analysis of the racial diversity of Oakland and Los Angeles to observe where there are pockets of high diversity, moderate diversity, and low diversity in each city. It will also show where certain racial groups are dispersed throughout each city. To spatially analyze racial diversity on a map, data is used from the U.S. Census and the American Community Survey, computed on SPSS, and then uploaded onto GIS (Geographic Information System). This enables me to display the spatial distribution of clusters of diversity in the two cities.

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Nov 17th, 3:00 PM Nov 17th, 5:00 PM

Comparing Racial Diversity Between Oakland and Los Angeles

CREVELING 37

This project focuses on measuring and comparing the racial diversity between Oakland and Los Angeles. An entropy index score is employed to calculate and measure racial diversity. An area that has a high entropy index score has an even balance of many different racial groups, while an area that has a low entropy index score leans towards one predominant racial group. As of 2016, data from the American Community Survey and the U.S. Census shows that Oakland had a higher entropy index score than Los Angeles because it had a higher percentage of Asians and African-Americans than Los Angeles, closing in on an even balance of four different racial and ethnic groups in Oakland (Whites, African-Americans, Latinos, and Asians). On the other hand, Los Angeles had a much higher percentage of Latinos, which by far were the predominant ethnic group in Los Angeles. This project includes a spatial analysis of the racial diversity of Oakland and Los Angeles to observe where there are pockets of high diversity, moderate diversity, and low diversity in each city. It will also show where certain racial groups are dispersed throughout each city. To spatially analyze racial diversity on a map, data is used from the U.S. Census and the American Community Survey, computed on SPSS, and then uploaded onto GIS (Geographic Information System). This enables me to display the spatial distribution of clusters of diversity in the two cities.