Presentation Title

An Exploratory Spatial Analysis of Residential Stability in Southern California Neighborhoods

Faculty Mentor

Luis Sanchez

Start Date

17-11-2018 3:00 PM

End Date

17-11-2018 5:00 PM

Location

CREVELING 70

Session

POSTER 3

Type of Presentation

Poster

Subject Area

behavioral_social_sciences

Abstract

My project is an exploratory spatial analysis of residential stability in California neighborhoods from 1990 to 2016. This research builds on previous work by moving beyond characteristics associated with neighborhood disadvantage by integrating factors indicative of community advantages. For instance, a community may exhibit disadvantage on some variables, yet other factors such a residential stability might suggest a more positive a more neighborhood context. It is important to identify neighborhood characteristics to better understand how neighborhood inequalities negatively affect residents. To carry out the research I utilize aggregate level data to create an index for neighborhood disadvantage and residential stability using variables collected from the U.S. Census and the American Community Survey. The additive index is composed of disadvantage variables such as family poverty, unemployment, households with public assistance, single-headed female households, and those with less than a high school degree for each year. Additionally, a factor score composed of percent own, percent rent, the average length of residence. Neighborhoods with a higher percentage of homeowners and individual with longer lengths of residence will indicate greater residential stability. Lastly, the collected data is processed on SPSS and mapped using ArcGIS (mapping software) to illustrate the distribution of residential stability across Southern California neighborhoods.

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

An Exploratory Spatial Analysis of Residential Stability in Southern California Neighborhoods

CREVELING 70

My project is an exploratory spatial analysis of residential stability in California neighborhoods from 1990 to 2016. This research builds on previous work by moving beyond characteristics associated with neighborhood disadvantage by integrating factors indicative of community advantages. For instance, a community may exhibit disadvantage on some variables, yet other factors such a residential stability might suggest a more positive a more neighborhood context. It is important to identify neighborhood characteristics to better understand how neighborhood inequalities negatively affect residents. To carry out the research I utilize aggregate level data to create an index for neighborhood disadvantage and residential stability using variables collected from the U.S. Census and the American Community Survey. The additive index is composed of disadvantage variables such as family poverty, unemployment, households with public assistance, single-headed female households, and those with less than a high school degree for each year. Additionally, a factor score composed of percent own, percent rent, the average length of residence. Neighborhoods with a higher percentage of homeowners and individual with longer lengths of residence will indicate greater residential stability. Lastly, the collected data is processed on SPSS and mapped using ArcGIS (mapping software) to illustrate the distribution of residential stability across Southern California neighborhoods.