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Analysis of the Vietnamese Community in Santa Clara County, CA GIS 206A – Mid-Term Project Professor L. Estrada By: Quyen Dinh February 8, 2011

Analysis of the Vietnamese Community in Santa Clara County, CA GIS 206A – Mid-Term Project Professor L. Estrada By: Quyen Dinh February 8, 2011

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Page 1: Analysis of the Vietnamese Community in Santa Clara County, CA GIS 206A – Mid-Term Project Professor L. Estrada By: Quyen Dinh February 8, 2011

Analysis of the Vietnamese Community in Santa Clara County, CA

GIS 206A – Mid-Term ProjectProfessor L. Estrada

By: Quyen DinhFebruary 8, 2011

Page 2: Analysis of the Vietnamese Community in Santa Clara County, CA GIS 206A – Mid-Term Project Professor L. Estrada By: Quyen Dinh February 8, 2011

Snap Shot of Community*

• Racial & Ethnic Diversity – White: 45%– Asian Pacific Islander: 27%– Hispanic/Latinos: 24%– African Americans: 3%– Other: 1%

• Median Family Income: $80K • Percent with Limited English Proficiency: 22%

2*All data from Census 2000 as reported in United Way of Silicon Valley Report: Santa Clara County Trends & Needs Assessment Report – May 2005

Page 3: Analysis of the Vietnamese Community in Santa Clara County, CA GIS 206A – Mid-Term Project Professor L. Estrada By: Quyen Dinh February 8, 2011

Objective of Project• Mid-Term

– Locate neighborhoods that are densely populated with Vietnamese community members (using Census Tract level data)

– Identify socioeconomic trends associated with these neighborhoods

• Final– Add client data from a Vietnamese community-based

organization (using client addresses) – Make recommendations on where the organization

should expand their services

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Page 4: Analysis of the Vietnamese Community in Santa Clara County, CA GIS 206A – Mid-Term Project Professor L. Estrada By: Quyen Dinh February 8, 2011

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Page 8: Analysis of the Vietnamese Community in Santa Clara County, CA GIS 206A – Mid-Term Project Professor L. Estrada By: Quyen Dinh February 8, 2011

8*Income Index (Using HUD Definition of Low Income): .30(Median Income) = Extremely Low Income; .50(Median Income) = Very Low; .80(Median Income) = Low

Page 9: Analysis of the Vietnamese Community in Santa Clara County, CA GIS 206A – Mid-Term Project Professor L. Estrada By: Quyen Dinh February 8, 2011

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Page 11: Analysis of the Vietnamese Community in Santa Clara County, CA GIS 206A – Mid-Term Project Professor L. Estrada By: Quyen Dinh February 8, 2011

Final Recommendations• Expand services to two areas: north-east and

south-east San Jose– Hold Focus Groups – Target Outreach– Locate non-profits/schools to use space for services

• Keep up the good work!– Continue working in the areas that you– Continue partnerships with Tully Library & Yerba

Buena High School

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Page 12: Analysis of the Vietnamese Community in Santa Clara County, CA GIS 206A – Mid-Term Project Professor L. Estrada By: Quyen Dinh February 8, 2011

Google Mash-Up*Locations that Address Locator Couldn’t Find

(both located in low-income areas)

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*limitations of GIS?

Page 13: Analysis of the Vietnamese Community in Santa Clara County, CA GIS 206A – Mid-Term Project Professor L. Estrada By: Quyen Dinh February 8, 2011

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Meta-Data

Page 14: Analysis of the Vietnamese Community in Santa Clara County, CA GIS 206A – Mid-Term Project Professor L. Estrada By: Quyen Dinh February 8, 2011

Modeling

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Page 15: Analysis of the Vietnamese Community in Santa Clara County, CA GIS 206A – Mid-Term Project Professor L. Estrada By: Quyen Dinh February 8, 2011

Skills• Modeling (to join geocoded addresses with shape file) (all slides)• Meta data Sheet of ICAN client data joined with census tracts layer (all slides)• Measurement Analysis (1 mile buffer around ICAN) (slide 8)• Original Data (ICAN Data) (all slides)• Charts/Graphs/Images (slides 5, 7, 8, 9)• Google Mash-up (slide 12)• Inset map: California State & Santa Clara County Shape Files (slide 4)• Aggregating attribute fields

– Vietnamese Concentration per Tract (slide 6)– ICAN Clients per Tract (slide 6)– Income Tract (slide 8)– LEP (slide 9)

• Geoprocessing: Santa Clara County & San Jose Shape Files Clipped (all slides)• Creating indices: Income Index (slide 7)• Select attributes: selected census tracts with greater than or equal to 2% ICAN

concentration (slide 6 & 7)15