data inventory analysis rob pitingolo, the urban institute nnip partnership meeting, october 2014...
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![Page 1: Data Inventory Analysis Rob Pitingolo, The Urban Institute NNIP Partnership Meeting, October 2014 NNIP Data Inventory & SNIP Score Update ROB PITINGOLO](https://reader037.vdocuments.site/reader037/viewer/2022103022/56649f455503460f94c66796/html5/thumbnails/1.jpg)
Data Inventory Analysis
Rob Pitingolo, The Urban InstituteNNIP Partnership Meeting, October 2014
NNIP Data Inventory & SNIP Score Update
ROB PITINGOLOOctober, 2015
![Page 2: Data Inventory Analysis Rob Pitingolo, The Urban Institute NNIP Partnership Meeting, October 2014 NNIP Data Inventory & SNIP Score Update ROB PITINGOLO](https://reader037.vdocuments.site/reader037/viewer/2022103022/56649f455503460f94c66796/html5/thumbnails/2.jpg)
Data Inventory Analysis
Rob Pitingolo, The Urban InstituteNNIP Partnership Meeting, October 2014
Local data is central to the NNIP mission
2
NNIP local data should be…
Small GeographyTract, Block Grp, Zip, Parcel
Recurring & Up-to-Date
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Data Inventory Analysis
Rob Pitingolo, The Urban InstituteNNIP Partnership Meeting, October 2014
What is the Data Inventory?
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• First published1996
• Became machine readable in 2007
• Geography & coverage level
• Age & Race tabs
![Page 4: Data Inventory Analysis Rob Pitingolo, The Urban Institute NNIP Partnership Meeting, October 2014 NNIP Data Inventory & SNIP Score Update ROB PITINGOLO](https://reader037.vdocuments.site/reader037/viewer/2022103022/56649f455503460f94c66796/html5/thumbnails/4.jpg)
Data Inventory Analysis
Rob Pitingolo, The Urban InstituteNNIP Partnership Meeting, October 2014
Value of the Data Inventory
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• Neighborhood data is central to NNIP
• Self-assessment for partners
• Identify cross-site opportunities
• Improve the network
Vital Stats
Housing
Crime
Health
![Page 5: Data Inventory Analysis Rob Pitingolo, The Urban Institute NNIP Partnership Meeting, October 2014 NNIP Data Inventory & SNIP Score Update ROB PITINGOLO](https://reader037.vdocuments.site/reader037/viewer/2022103022/56649f455503460f94c66796/html5/thumbnails/5.jpg)
Data Inventory Analysis
Rob Pitingolo, The Urban InstituteNNIP Partnership Meeting, October 2014
Revamped Data Inventory on the NNIP Website
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Data Inventory Analysis
Rob Pitingolo, The Urban InstituteNNIP Partnership Meeting, October 2014
Thank you partners for updating your inventories!
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• 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
![Page 7: Data Inventory Analysis Rob Pitingolo, The Urban Institute NNIP Partnership Meeting, October 2014 NNIP Data Inventory & SNIP Score Update ROB PITINGOLO](https://reader037.vdocuments.site/reader037/viewer/2022103022/56649f455503460f94c66796/html5/thumbnails/7.jpg)
Data Inventory Analysis
Rob Pitingolo, The Urban InstituteNNIP Partnership Meeting, October 2014
New & Improved SNIP Score
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Small-geography Neighborhood Indicator Performance (SNIP) Components:
Vital Stats
Pt1 Crime
Child Health
Distressed Property
Public AssistanceBusiness Licenses
School Enrollment
Property Data Home Sales
Other Health
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Data Inventory Analysis
Rob Pitingolo, The Urban InstituteNNIP Partnership Meeting, October 2014
MethodologyNeighborhood Data Must Be…
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• 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
Part 1 Crime
Property Characteristics
Home Sales
Distressed Properties
Other Health
Child Health
Public Assistance
Businesses
Schools
2012 Vital Stats
2014
2013
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Data Inventory Analysis
Rob Pitingolo, The Urban InstituteNNIP Partnership Meeting, October 2014
How NNIP Partners Score
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Max Score = 10
Average0
1
2
3
4
5
6
7
8
9
10
9
8 8
7
6 6 6 6 6
5 5 5 5 5
4 43.78571428571429
3 3
2
1 1 1
0 0 0 0 0 0
SNIP Score For Each NNIP Partner City
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Data Inventory Analysis
Rob Pitingolo, The Urban InstituteNNIP Partnership Meeting, October 2014
Let’s Dig Down Into the Stats
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• Range: 0-10
• Mean: 3.8
• Median: 4
• N: 28
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Data Inventory Analysis
Rob Pitingolo, The Urban InstituteNNIP Partnership Meeting, October 2014
Find out how well you scored this year
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Example SNIP scorecard…
City: [Example City]
SNIP Score: 5/10
SNIP data in inventory:
• Schools
• Vital Stats
• Property Sales
• Crime
• Public Assistance
![Page 12: Data Inventory Analysis Rob Pitingolo, The Urban Institute NNIP Partnership Meeting, October 2014 NNIP Data Inventory & SNIP Score Update ROB PITINGOLO](https://reader037.vdocuments.site/reader037/viewer/2022103022/56649f455503460f94c66796/html5/thumbnails/12.jpg)
Data Inventory Analysis
Rob Pitingolo, The Urban InstituteNNIP Partnership Meeting, October 2014
NNIP’s most common up-to-date neighborhood data
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Scho
ols
Distres
sed
Prope
rty
Vital S
tats
Public
Ass
ista
nce
Crime
Prope
rty Cha
ract
eristic
s
Sales
Busines
ses
Child H
ealth
Other
Hea
lth
0%
10%
20%
30%
40%
50%
60%
70%64%
54%50%
39% 39% 39%36%
25%
18%14%
Percent of Partners with Each Data
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Data Inventory Analysis
Rob Pitingolo, The Urban InstituteNNIP Partnership Meeting, October 2014
Goals for 2016
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All partners with up-to-date inventory
No partners with zero SNIP score
More data brought up-to-date
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Data Inventory Analysis
Rob Pitingolo, The Urban InstituteNNIP Partnership Meeting, October 2014
Low-hanging fruit… bring data up-to-date!
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Average0
1
2
3
4
5
6
7
8
9
10
9
8 8
7
6 6 6 6 6
5 5 5 5 5
4 43.78571428571429
3 3
2
1 1 1
0 0 0 0 0 0
10
8
9
7 7 7
8
10
6
8
6
8
6
7 7
5
6
9 9
6
5
1
3
0
3
5
4
0
4
SNIP Scores With AllUp-to-Date Data
Current SNIP
If Up-to-Date
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Data Inventory Analysis
Rob Pitingolo, The Urban InstituteNNIP Partnership Meeting, October 2014
Back-to-back Champs!Oakland!
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ALMOST
PERFECT
SCORE 9/10