2000115-Strengthening-Communities-with-Neighborhood-Data

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Using Data for Neighborhood Improvement 165 Economy & Workforce Percent of Adult Population in the Labor Force By Area, 1990, 2000, 2005–2009 Percent of Population Age 16 & Older 80% 60% 40% 20% Eastern North Philadelphia Comparisons All City LowMod 0% 1990 2000 Neighborhood Type 2005–2009 Census 1990, Census 2000 and 2005–2009 American Community Survey 5-Year Estimates, analyzed by LISC Research and Assessment Index of Employed Residents in Service Industry Group By Area, 2004/2005–2009/2010 120 Index of Employed Residents 100 80 Eastern North Philadelphia Comparisons All City LowMod 60 2005 2006 2007 2008 2009 2010 Year (Two-Year Average) Local Employment Dynamics data, analyzed by LISC Research and Assessment
166 Strengthening Communities with Neighborhood Data Rhode Island covering 15 BSC neighborhoods). In these locations the NNIP partners enhanced the national data with indicators from their local data warehouses (e.g., on crime rates, educational proficiency, health, and home sales prices). This monitoring system has been regularly reviewed by LISC managers in each BSC city from the start, but in 2010 the system also began to be used as the basis for dialogues with lead agencies in the neighborhoods. LISC research staff, local data partners, and lead agency staff review the data and talk about possible implications for the work. It is important to note the differences between the approach described above and performance measurement systems such as those referred to as “collective impact” reviewed in chapter 2. In the LISC example, the indicators being tracked are a mixture of outcome and context indicators (Land’s terms from chapter 4) selected to inform managers about key trends likely to affect their work. But they are not all indicators of goals, and BSC managers do not identify particular targets for each indicator that they would be willing to be held accountable to achieve, as is required in collective impact. In this work, it is critical to recognize the difference between indicators for which changes are driven importantly by outside (e.g., market) forces as well as by the actions of the initiative and indicators on which initiative partners might be expected to have more influence over the results. Brophy (2011) explicitly recommended the collective impact approach for the community development sector in Milwaukee. Still, implementing collective impact in comprehensive community development would be extremely challenging, much more so than it was in its best-known success story to date, the Strive initiative in education. Kingsley (2011) points out that Strive relied on a comparatively limited number of measures of achievement (e.g., student proficiency scores, high school graduation rates) for which data were fairly readily available, whereas comprehensive community development involves a much broader and more complicated set of goals and, for many of those, data availability remains a serious barrier. For example, some relevant social service programs do not yet maintain machine readable records on the services they provide. Recognizing the need to move further toward effective performance management, Chicago LISC implemented a new approach to NCP beginning in 2011. Called Testing the Model (TTM), this effort entails
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Efforts to address the problems of
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ABOUT THE URBAN INSTITUTE The nonpr
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iv 4 A 5 Using 6 Using 7 Advances C
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Acknowledgments We would like first
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1 Introduction to the Field The Inc
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Introduction to the Field 3 into an
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Introduction to the Field 5 to set
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Introduction to the Field 7 in chap
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Introduction to the Field 9 improve
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Introduction to the Field 11 Streng
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14 Strengthening Communities with N
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Table 2.1. (Continued) City/Metro N
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ESSAY From Tornadoes to Transit How
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Institutional Context 59 profession
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Institutional Context 61 graphic, h
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Institutional Context 63 department
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Institutional Context 65 This infor
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Institutional Context 71 8. For mor
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100 Strengthening Communities with
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Using Data for Neighborhood Improve
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Using Data for Neighborhood Improve
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6 Using Data for City and Regional
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ESSAY Creating and Using Neighborho
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The Regional Equity Atlas Using Dat
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The Bond Measure Is Approved Using
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ESSAY A Solvable Problem Hidden in
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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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438 Index Minneapolis Inspections o
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440 Index Neighborhood Early Warnin
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442 Index OnTheMap, 81, 104 open da
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444 Index privacy concerns (continu
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446 Index Sawicki, David, 10n.2 sca
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448 Index strategic investment init
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450 Index Twin Cities (Minnesota) d
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