1. UCLA Luskin School of Public Affairs Alumni Data Prepared by Kristen Figueira UP 206A Midterm Project

2. Data Luskin Alumni Data (~3000 Alumni) Obtained from Sherry Dodge and VC Powe Public Policy = 235 Alumni Responses Social Work = 1375 Alumni Responses Urban Planning = 1086 Alumni Responses 2010 Urban Planning Alumni Survey Obtained from Robin Liggett Sample Size= 588 Alumni Responses 466 valid responses Majority live in California (~400 Alumni)

3. UCLA Luskin School of Public Affairs Alumni Luskin Alumni Data, Sample Size= 2696 Skills Used: Geoprocessing, Geocoding

4. Urban Planning Alumni 2010 Urban Planning Alumni Survey, Sample Size= 466 Skills Used: Geoprocessing, Geocoding

5. Urban Planning Alumni 2010 Urban Planning Alumni Survey, Sample Size= 466 Skills Used: Geoprocessing, Geocoding, Graduated Symbols

6. Urban Planning Alumni in California California = ~400 Alumni Average Commute is ~16 miles (SCAG Report, 2001) San Francisco Sacramento Los Angeles San Diego Skills Used: Geoprocessing, Geocoding, Buffering

7. California Comparison Imperial Los Angeles Orange Riverside San Bernardino Ventura Alameda Contra Costa Marin Napa San Francisco San Mateo Santa Clara Solano Sonoma Note: Councils of Governments were derived by querying County_Clip for each county and exporting to a new shapefile layer ABAG (82 Alumni) SCAG(269 Alumni) Skills Used: Inset, Geoprocessing, Geocoding, Buffering, Attribute Sub-Sets Selections

8. Type of Organization Alumni Living in ABAG Region Alumni Living in SCAG Region 2010 Urban Planning Alumni Survey, Sample Size= 46 Skills Used: Geoprocessing, Geocoding, Graduated Symbols

9. Conclusion Immediate Application: Luskin Public Affairs Welcome Days in April Looking Ahead: Need more complete data for Alumni Networking, Recruitment, Career Center, etc. Future Mapping: Luskin Alumni by Industry, 5-10-15-year Incomes, Residential Patterns

10. Skills Used Inset map Graduated symbols Attribute sub-sets selections  Councils of Governments were derived by querying California counties for each county (For example: CA_County_Clipped, “Name” = ‘Los Angeles’ OR “Name” = ‘’Riverside’ OR “Name” = ‘San Bernardino’ OR “Name” = ‘Ventura’ OR “Name” = ‘Orange’ OR “Name” = ‘Imperial’ Buffering Geoprocessing Geocoding