Rebound Neighborhoods in St. Louis: Causes and Consequences Todd Swanstrom, University of Missouri-St. Louis Hank Webber, Washington University in St.

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Presentation transcript:

Rebound Neighborhoods in St. Louis: Causes and Consequences Todd Swanstrom, University of Missouri-St. Louis Hank Webber, Washington University in St. Louis With the assistance of Laura Jenks, Dean Obermark, Leslie Duling & Derrick Redhead National Neighborhood Indicators Partnership Meeting St. Louis, Missouri April 2-4, 2014

Two primary questions: 1.Why do some neighborhoods rebound in the wake of urban decline while others continue to decline or stagnate? 2.Do rebound neighborhoods in St. Louis fit the pattern of gentrification or do they vary in significant ways both in the path to revitalization and the impact on previous residents of the neighborhood and surrounding areas? Research Focus: Dynamics of Neighborhood Change

Plan for Today 1.Quantitative analysis identifying rebound neighborhoods and some of their effects (Todd) 2.Case studies of the drivers of neighborhood revitalization with a focus on one neighborhood, the Central West End (Hank)

St. Louis: A Slow-Growth Region

St. Louis: A Thinning Out Region

Decentralized Job Clusters

Overbuilt Housing

218 census tracts in “urbanized area” of St. Louis as defined by the U.S. Census Bureau in 1950 Total population of study area in 1970: 1.3 million Study Area

Regional Sprawl

Population Decentralization

Falling Occupancy Rates, Especially in Older Areas

Older Neighborhoods – Running Up the Down Escalator

Three variables: 1.Economic (Per Capita Income) 2.Social (Poverty Rate) 3. Physical (Vacancy Rate) NVI measures the performance of each census tract relative to the mean for the study area in each decade. Neighborhood Vitality Index (NVI)

Neighborhood Vitality Index Tract Rankings by Decade,

Basic idea: neighborhoods that bounced back from decline (U-shaped) We define a “rebound tract” as any census tract that moved up at least 10 percentile points in the rankings from or Eliminated tracts that were never in the bottom half of the distribution at some point between 1970 and 2000 Of the 218 tracts in our study area, 38 (17%) are rebound tracts Identifying Rebound Neighborhoods

Rebound Census Tracts Fit the Demographic Profile of Gentrifying Neighborhoods

In contrast to conventional wisdom on gentrifying neighborhoods, rebounding tracts, overall, had significantly higher levels of racial/ethnic and economic diversity than non-rebounding tracts. Surprising Finding

Racial/Ethnic Diversity Diversity Index = 1 - %white 2 + %black 2 + %Hispanic 2 + %other 2

Economic Diversity

1.Economic Theory 2.Sociological Theory 3.Political/Institutional Theory What Are the Drivers of Rebound Neighborhoods?

Five Case Studies: Exploring the Drivers of Success

Performance of Case Study Neighborhoods

Racial Diversity of Case Study Neighborhoods

Case Studies: Key Success Factors Success Factor Central West End Botanical Heights ShawMark TwainMaplewood Strong Anchor Institutions XXXX Excellent Housing Stock X Thoughtful Commercial Development XX Thoughtful Residential Development XXX Resident Civic Engagement XXXXX Good LocationXXXX Successful Public Policy XX Strong Public Schools X

Central West End – Location St. Louis City, County, and Region

Central West End – Location

Central West End – Borders

Central West End – Housing

Central West End – Apartments

Central West End – Chase Park Plaza

Central West End – Euclid Avenue

Central West End – Weak Housing

Central West End – Population 25,85917,28215,589 Poverty Rate 24%22%24% Per Capita Income* $23,078$38,690$43,406 Occupancy 85%86% % Under 18 20%10%7% % %35%44% % White 54%59%58% Index Score *in 2012 dollars

Central West End – The 1970s Assets –Excellent housing stock –Great location Threats –Housing and commercial areas in state of disrepair –Weakening public schools –Exodus of families

Key Success Factor – Growth in Anchor Institutions 2.0 million square feet Washington University Medical Campus, 1970

Key Success Factor – Growth in Anchor Institutions 5.6 million square feet Washington University Medical Campus, 2008

Central West End – Case Study: 4388 Waterman

Central West End – Success Factors Strong anchor institutions in growing industries Excellent housing stock Supportive public policy Resident civic engagement Thoughtful and contextual commercial and residential development

Central West End – What Did Not Happen No great transformative change in low-income and minority population No significant change in building stock Limited spill-over effects north of Delmar

Central West End – Fountain Park

Neighborhoods with strong anchor institutions and high levels of civic capacity are better able to utilize the public policy tools for revitalization (tax credits, special taxing districts, overlay zoning districts, etc.) Location, Location, Location –Proximity to growing job centers is key –In the central corridor or well-located suburbs considerable success is possible –It is very difficult for all-black neighborhoods to rebound; in North St. Louis, stability is a victory Diversity is now an asset to community revitalization Conclusions

Is St. Louis an outlier, or can neighborhoods in other weak market cities rebound without significantly displacing low-income and minority residents? Are rebound neighborhoods in St. Louis simply the first stage on route to classic gentrification as found in strong market cities? Are diverse rebound neighborhoods the result of a significant attitudinal change, especially by Millennials? If so, will this preference for diversity endure as Millennials age or will they revert back to attitudes of earlier generations? Remaining Questions

We would like to thank the many people and organizations that shared their experiences and history with us. We commend the hard work and dedication of those who have contributed to the revitalization of neighborhoods in St. Louis and elsewhere. Questions?