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A Geographic Analysis of Making Connections Movers: Preliminary Results

A Geographic Analysis of Making Connections Movers: Preliminary Results. Ned English, Colm O’Muircheartaigh, Cathy Haggerty, and Erika Garcia Presented at the Urban Institute 09/07/06. Introduction. Making Connections collects longitudinal data Households move often

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A Geographic Analysis of Making Connections Movers: Preliminary Results

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  1. A Geographic Analysis of Making Connections Movers:Preliminary Results Ned English, Colm O’Muircheartaigh, Cathy Haggerty, and Erika Garcia Presented at the Urban Institute 09/07/06

  2. Introduction • Making Connections collects longitudinal data • Households move often • 33% renters moved in previous year (2003 CPS) • What are the implications for Making Connections and subsequent policy decisions? • Who, how many move? • Where, how far do they go? • Do Making Connections residents move to similar areas? • What do movers tell us?

  3. Analytical Approach • Compare original location to destination • Examine distance • Analyze neighborhood characteristics of each • Use quex data to examine categories of movers: • Race/Ethnicity • Housing tenure (renter or not) • Nativity (born in US or not) • Derive information beyond questionnaire • Implications for survey operations and future research interests

  4. Methodology • Making Connections maintains addresses for both waves • From list in wave 1 • Located in wave 2 • Employ GIS software to: • Geocode locations based on address • Calculate distance between both points • Append census boundaries to each location • Merge census data and run comparisons using statistical software

  5. Background- Scale of Movement

  6. Urbanicity of Destinations

  7. Child Mover Complete Destinations

  8. Poverty in Origin vs. Destination by Site

  9. Poverty in origin vs. Destination by Mover Characteristics

  10. Movers in Denver County, CO and Surrounding Area

  11. Movers in Polk County, IA and Surrounding Area

  12. Movers in Marion County, IN and Surrounding Area

  13. Movers in Bexar County, TX and Surrounding Area

  14. All Distances- by Category

  15. All Distances- by Race/Ethnicity

  16. Results- % Minority in origin vs. Destination Tract by Site

  17. Results- % Minority in origin vs. Destination by Mover Characteristics

  18. Compare origin and Destination Race/Ethnicity

  19. Compare origin and Destination by Housing Tenure

  20. Compare origin and Destinationby Nativity

  21. Wave 2 Percent Poverty by Distance Moved- Denver

  22. Wave 2 Percent Poverty by Distance Moved- Des Moines

  23. Wave 2 Percent Poverty by Distance Moved- Indianapolis

  24. Wave 2 Percent Poverty by Distance Moved- San Antonio

  25. Poverty by distance moved

  26. Wave 2 Percent Minority by Distance Moved- Indianapolis

  27. Wave 2 Percent Minority by Distance Moved- Martindale-Brightwood

  28. Wave 2 Percent Minority by Distance Moved- Southeast Indianapolis

  29. Wave 2 Percent Minority by Distance Moved- Indianapolis

  30. Next Steps Additional Directions: • Remaining sites • Neighborhood level • Block Group-level data • Data beyond Census 2000 • Crime data • Schools characteristics and test scores • Integration with neighborhood sketches • Did people leave their drawn neighborhoods? • How do drawn neighborhoods compare to tract-level measures? • Analysis of other questionnaire data e.g. hardship, economic sections • Literature review of theory • Thinking ahead to wave 3

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