2000115-Strengthening-Communities-with-Neighborhood-Data

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Using Data for Neighborhood Improvement 161 Figure 5.1. Neighborhood Stabilization Team Map, Cleveland, Ohio Deltax > $1,000 CDC Vacancy Postal Vacancy ward SIIs (2010) NPI Model Blocks CCLRC demo CCLRC other interest Demo Request Assets City Demo Vacant Land Municipal Land Bank Vacant Foreclosure Type Mortgage Foreclosure BOR Tax Foreclosure Tax Foreclosure Other Foreclosure Destabilizing Factor Fore - Active Fore - Inactive Fore - Dismiss Shf sale scheduled Shf sale withdrawn/sale vacated REO - Shf deed not recorded REO - Shf deed recorded Out of REO With Structure Sources: Various data sources compiled by the Center on Urban Poverty and Community Development, Mandel School of Applied Social Sciences, Case Western Reserve University. Note: A color version of the map is available at http://neighborhoodindicators.org/library/catalog/neighborhood-stabilization-team-map
162 Strengthening Communities with Neighborhood Data Public officials and other stakeholders set priorities as to which properties within the neighborhood to acquire, demolish, or rehabilitate. The data also support decisions by community groups working to prevent foreclosures. These groups use listings of properties that the data indicate may be likely foreclosure candidates as the basis for prioritizing door-knocking efforts. For example, they give high priority to a property just entering foreclosure that is next door to one that has just been renovated. The parcel-level information also is used to target actions inside the neighborhood by the city’s code enforcement staff and neighborhood groups to put pressure on owners of properties that are not being adequately maintained. The final aspect that warrants mention is how the use of NEO CANDO spurred collaboration. Over time, participation in the mapping sessions spread to include CDCs, residents, city officials, nonprofit counseling and advocacy groups, realtors, and lenders. Participants have said the fact that they were all using the same data promoted inclusiveness in the process. Reliance on common data meant less disagreement than would otherwise have been the case. Decisions, for example, about which properties to rehabilitate and which to demolish were less controversial because all participants knew the reasoning and facts behind the choices. Applications in Large-Scale Comprehensive Initiatives: Examining the Potential for Performance Management The largest comprehensive community development programs in operation over the past decade were those managed by the Local Initiatives Support Corporation (LISC): its 16 neighborhood New Communities Program (NCP) in Chicago and its Building Sustainable Communities (BSC) initiative, which has operated in just over 100 neighborhoods in 24 other metro areas (Walker et al. 2010). 12 The BSC model calls for coordinated investment across five programmatic domains: housing and real estate, connection to regional economies, family income and wealth generation, education, and public health and safety (Walker et al. 2010). Key features of both of these initiatives include (1) extensive and continuing community organizing, (2) engaging residents in the preparation of a community quality-of-life plan, (3) enduring community partnerships, and (4) active intermediation across sectors and between the
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ABOUT THE URBAN INSTITUTE The nonpr
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Acknowledgments We would like first
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ESSAY From Tornadoes to Transit How
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Institutional Context 59 profession
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ESSAY Creating and Using Neighborho
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ESSAY The Dynamic Neighborhood Taxo
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412 About the Authors served as dir
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About the Essayists Riccardo Bodini
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About the Essayists 417 community a
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About the Essayists 419 effects of
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422 Index alternative scenarios, fo
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424 Index Center on Urban Poverty a
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426 Index Community Development Blo
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428 Index data (continued) oversigh
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430 Index early warning systems, no
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432 Index funders, data-driven deci
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434 Index homeless students, chroni
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436 Index Koschinsky, Julia, 307, 3
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450 Index Twin Cities (Minnesota) d
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2000115-Strengthening-Communities-with-Neighborhood-Data

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