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Data Inventory Analysis Rob Pitingolo, The Urban Institute NNIP Partnership Meeting, October 2014 NNIP Data Inventory & SNIP Score Update ROB PITINGOLO.

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Presentation on theme: "Data Inventory Analysis Rob Pitingolo, The Urban Institute NNIP Partnership Meeting, October 2014 NNIP Data Inventory & SNIP Score Update ROB PITINGOLO."— Presentation transcript:

1 Data Inventory Analysis Rob Pitingolo, The Urban Institute NNIP Partnership Meeting, October 2014 NNIP Data Inventory & SNIP Score Update ROB PITINGOLO October, 2015

2 Data Inventory Analysis Rob Pitingolo, The Urban Institute NNIP Partnership Meeting, October 2014 Local data is central to the NNIP mission 2 NNIP local data should be… Small Geography Tract, Block Grp, Zip, Parcel Recurring & Up-to-Date

3 Data Inventory Analysis Rob Pitingolo, The Urban Institute NNIP Partnership Meeting, October 2014 What is the Data Inventory? 3 First published1996  Became machine readable in 2007 Geography & coverage level Age & Race tabs

4 Data Inventory Analysis Rob Pitingolo, The Urban Institute NNIP Partnership Meeting, October 2014 Value of the Data Inventory 4 Neighborhood data is central to NNIP Self-assessment for partners Identify cross-site opportunities Improve the network Vital Stats Housing Crime Health

5 Data Inventory Analysis Rob Pitingolo, The Urban Institute NNIP Partnership Meeting, October 2014 Revamped Data Inventory on the NNIP Website 5

6 Data Inventory Analysis Rob Pitingolo, The Urban Institute NNIP Partnership Meeting, October 2014 Thank you partners for updating your inventories! 6 Atlanta Camden Charlotte Cleveland Columbus Dallas Denver Detroit Grand Rapids Indianapolis Milwaukee Minneapolis New Haven New Orleans New York Oakland Pinellas Pittsburgh Providence San Antonio Seattle St. Louis Washington, DC

7 Data Inventory Analysis Rob Pitingolo, The Urban Institute NNIP Partnership Meeting, October 2014 New & Improved SNIP Score 7 Small-geography Neighborhood Indicator Performance (SNIP) Components: Vital Stats Pt1 Crime Child Health Distressed Property Public Assistance Business Licenses School Enrollment Property Data Home Sales Other Health

8 Data Inventory Analysis Rob Pitingolo, The Urban Institute NNIP Partnership Meeting, October 2014 Methodology Neighborhood Data Must Be… 8 Held “in-house” Small geography – Parcel, Block Grp, Tract, Zip, other “neighborhood” Recurring & recent as of at least the year  Point awarded when all conditions are met

9 Data Inventory Analysis Rob Pitingolo, The Urban Institute NNIP Partnership Meeting, October 2014 How NNIP Partners Score 9 Max Score = 10

10 Data Inventory Analysis Rob Pitingolo, The Urban Institute NNIP Partnership Meeting, October 2014 Let’s Dig Down Into the Stats 10 Range: 0-10 Mean: 3.8 Median: 4 N: 28

11 Data Inventory Analysis Rob Pitingolo, The Urban Institute NNIP Partnership Meeting, October 2014 Find out how well you scored this year 11 Example SNIP scorecard… City: [Example City] SNIP Score: 5/10 SNIP data in inventory: Schools Vital Stats Property Sales Crime Public Assistance

12 Data Inventory Analysis Rob Pitingolo, The Urban Institute NNIP Partnership Meeting, October 2014 NNIP’s most common up-to-date neighborhood data 12

13 Data Inventory Analysis Rob Pitingolo, The Urban Institute NNIP Partnership Meeting, October 2014 Goals for 2016 13 All partners with up-to-date inventory No partners with zero SNIP score More data brought up-to-date

14 Data Inventory Analysis Rob Pitingolo, The Urban Institute NNIP Partnership Meeting, October 2014 Low-hanging fruit… bring data up-to-date! 14

15 Data Inventory Analysis Rob Pitingolo, The Urban Institute NNIP Partnership Meeting, October 2014 Back-to-back Champs! Oakland! 15 ALMOST PERFECT SCORE 9/10


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