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Helping Families and Community Residents
Use Data
www.dcpni.org
@dcpni
1
Isaac D. Castillo
Director of Data and Evaluation
@Isaac_outcomes
2015 Urban Affairs Association Conference
April 10, 2015
Community Skepticism of Data
• Residents and families (and most people) are
initially skeptical of data.
• Residents felt DCPNI had focused only on the
negative data points.
• History of skepticism of government-like
entities.
• DCPNI was (and still is) new.
2July 2014 DC Promise Neighborhood Initiative
Sharing Data with
Families and Residents
July 2014 DC Promise Neighborhood Initiative 3
Data
for
normal
people.
Sharing Data Involves
Multiple Approaches
• Publications / printed materials.
• Presentations during existing community
meetings.
• DCPNI hosted meetings and ‘data-walks’
July 2014 DC Promise Neighborhood Initiative 4
Use Publications / Printed Materials
• Variety of easy to understand materials.
– I Heart Data booklet
• Use of data visualization techniques.
• Focus on sharing a few data points (prioritize)
that are easy to understand.
July 2014 DC Promise Neighborhood Initiative 5
Example: Educational Attainment
• 70% of K-P
residents have a
high school
education or higher
6
• 88% in DC
July 2014 DC Promise Neighborhood Initiative
Example: Food Insecurity
in Kenilworth-Parkside
7
49% of Kenilworth-Parkside households
have run out of food or money to buy food
in the past 12 months.
July 2014 DC Promise Neighborhood Initiative
Example: Grocery Shopping Habits
One Way Travel Time to Get Groceries
8
5.7% of K-P residents
travel 45+ minutes ONE WAY for groceries
July 2014 DC Promise Neighborhood Initiative
Example using Residents
• Can also use residents themselves in
community meetings.
• Let’s use chronic absenteeism as an example
– I need ten volunteers……
• Have the volunteers stand up and come to
front of room.
July 2014 DC Promise Neighborhood Initiative 9
Chronic Absenteeism in
Kenilworth-Parkside Schools
Average school in the United States:
10% of students are chronically absent
10
In Kenilworth-Parkside schools:
31% of students are chronically absent
July 2014 DC Promise Neighborhood Initiative
Example Questioning Assumptions
• How many people know the Dupont Circle
area of DC?
• Let’s use some words to describe Dupont
Circle and Kenilworth-Parkside – want words
to focus on safety and crime.
July 2014 DC Promise Neighborhood Initiative 11
Dupont Circle (high income) Kenilworth-Parkside (low-income)
Real Data to Question Assumptions
2013 Crime Data by PSA
June 2014 DC Promise Neighborhood Initiative 12
Indicator Dupont Circle
(high income)
Kenilworth-Parkside
(low income)
Total Crimes 1,120 358
1 Crime (any type)
per X # of persons
[chance a person
experiences any crime]
15.84
[6.31% chance]
21.05
[4.75% chance]
1 PROPERTY Crime
per X # of persons
17.12
[5.84% chance]
32.34
[3.09% chance]
1 VIOLENT Crime
per X # of persons
211.17
[0.47% chance]
60.29
[1.66% chance]

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Engaging Community Residents with Data

  • 1. Helping Families and Community Residents Use Data www.dcpni.org @dcpni 1 Isaac D. Castillo Director of Data and Evaluation @Isaac_outcomes 2015 Urban Affairs Association Conference April 10, 2015
  • 2. Community Skepticism of Data • Residents and families (and most people) are initially skeptical of data. • Residents felt DCPNI had focused only on the negative data points. • History of skepticism of government-like entities. • DCPNI was (and still is) new. 2July 2014 DC Promise Neighborhood Initiative
  • 3. Sharing Data with Families and Residents July 2014 DC Promise Neighborhood Initiative 3 Data for normal people.
  • 4. Sharing Data Involves Multiple Approaches • Publications / printed materials. • Presentations during existing community meetings. • DCPNI hosted meetings and ‘data-walks’ July 2014 DC Promise Neighborhood Initiative 4
  • 5. Use Publications / Printed Materials • Variety of easy to understand materials. – I Heart Data booklet • Use of data visualization techniques. • Focus on sharing a few data points (prioritize) that are easy to understand. July 2014 DC Promise Neighborhood Initiative 5
  • 6. Example: Educational Attainment • 70% of K-P residents have a high school education or higher 6 • 88% in DC July 2014 DC Promise Neighborhood Initiative
  • 7. Example: Food Insecurity in Kenilworth-Parkside 7 49% of Kenilworth-Parkside households have run out of food or money to buy food in the past 12 months. July 2014 DC Promise Neighborhood Initiative
  • 8. Example: Grocery Shopping Habits One Way Travel Time to Get Groceries 8 5.7% of K-P residents travel 45+ minutes ONE WAY for groceries July 2014 DC Promise Neighborhood Initiative
  • 9. Example using Residents • Can also use residents themselves in community meetings. • Let’s use chronic absenteeism as an example – I need ten volunteers…… • Have the volunteers stand up and come to front of room. July 2014 DC Promise Neighborhood Initiative 9
  • 10. Chronic Absenteeism in Kenilworth-Parkside Schools Average school in the United States: 10% of students are chronically absent 10 In Kenilworth-Parkside schools: 31% of students are chronically absent July 2014 DC Promise Neighborhood Initiative
  • 11. Example Questioning Assumptions • How many people know the Dupont Circle area of DC? • Let’s use some words to describe Dupont Circle and Kenilworth-Parkside – want words to focus on safety and crime. July 2014 DC Promise Neighborhood Initiative 11 Dupont Circle (high income) Kenilworth-Parkside (low-income)
  • 12. Real Data to Question Assumptions 2013 Crime Data by PSA June 2014 DC Promise Neighborhood Initiative 12 Indicator Dupont Circle (high income) Kenilworth-Parkside (low income) Total Crimes 1,120 358 1 Crime (any type) per X # of persons [chance a person experiences any crime] 15.84 [6.31% chance] 21.05 [4.75% chance] 1 PROPERTY Crime per X # of persons 17.12 [5.84% chance] 32.34 [3.09% chance] 1 VIOLENT Crime per X # of persons 211.17 [0.47% chance] 60.29 [1.66% chance]

Editor's Notes

  1. Differences: Respondents—family types are different, some are more/less literate, some have kids and others are singletons Interviewers—Although everyone undergoes training,…