Foreclosures and Crime: Providence Examples and Evolution Jim Lucht The Providence Plan NIJ Conference on Foreclosure and Crime March.

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Foreclosures and Crime: Providence Examples and Evolution Jim Lucht The Providence Plan NIJ Conference on Foreclosure and Crime March 31 – April 1, 2009 The Providence Plan National Institute of Justice

Who is ProvPlan? Mission to promote the economic and social well-being of the city, its people, and its neighborhoods. 501(c)3 non-profit created in 1992 Public/Private Partnership Strong programmatic capacity Ready to Learn Providence YouthBuild Providence Local Learning Partnership/Making Connections New Roots Providence “Information for Change” Agenda Information intermediary and community convener Investments in GIS, data analysis, and web technology Expanding our capacity to examine statewide issues

Geography Matters A Variety of Geographic Levels is Needed: CITY NEIGHBORHOOD TRACTS BLOCK GROUPS  People relate to places they’re most familiar with  Address and parcel-level information provide the greatest flexibility BLOCKS PARCEL  Differences are more readily observed at certain scales

Tools Neighborhood Profiles Special Portals - Health - Reentry Internet Map Server

Background Slow to start foreclosure mapping –Seen as purview of City, State Dictated by need –2 nd NIJ Geospatial Solicitation –Local CDCs

Crime Mapping / Analysis Weekly statistics and maps Live mapping at staff meetings Specialized analysis

Copper Theft Photo: Providence Journal Where’s the kitchen?

Foreclosure and Abandonment Advertised Initiations Student-gathered data on boarding and abandonment Photo: Providence Journal

Foreclosure and Abandonment

Basic Foreclosure Mapping Thematic Hotspot Animations Parcels

Predominant Race/Ethnicity 2000 Census Blocks Source: 2000 Census SF1

Neighborhood Impact Data had only addresses. Required link to plat-lot using master lookup table

Preliminary Analysis for NIJ: October 2007 Overall crime 2.9 times higher within 50 feet of foreclosed property Burglary 5x City Avg. Vandalism 3x Drug Arrests 3.4x Time series (q1,q2 v. q3,q4) showed 50% crime and 200% Call for Service increase

LISC CSI

Parcels ID’d Crimes pinpointed

LISC CSI Combined hot spots

LISC Analysis

Foreclosure Response

Distressed Property Management System Open Source: Django, PostGIS Commercial and municipal data feeds Parcel and address-based Asynchronous data linking May add crime if funding allows