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john a. powell, Jason Reece and Stephen Menendian
The Kirwan Institute for the Study of Race & Ethnicity




Prepared for the United States Department of Justice
       Housing and Civil Enforcement Section
                  Washington, D.C.
                    July 8, 2010
The Community of Opportunity Model for Fair Housing & Educational Equity
   Today’s Discussion
     Opportunity Matters (john)
      ▪ The Community of Opportunity model for fair housing
     Methods and Implementation (Jason)
      ▪ Why and how do we map opportunity?
      ▪ What have opportunity maps been used for?
     Legal Applications (Stephen)
      ▪ Educational applications and potential use for liability
        and remedy
I was born…




              4
I grew up…




             5
My parents were
sharecroppers in
the South.

They left the South
in search of
opportunity.




                      6
   They moved north
    seeking
    opportunity and
    bought a house.


   Today I would say
    they bought into a
    low opportunity
    neighborhood.

                    7
The vacant grassy plots
    are not parks.

                          8
Vacant lots and
abandoned houses
                   9
I grew up in a low opportunity structure in a declining
                    opportunity city.                 10
11
12
LOW OPPORTUNITY                       HIGH OPPORTUNITY

   Only 1 in 4 students in Detroit         The year my step daughter
    public schools finish high               finished high school, 100% of
    school (based on analysis from           the students graduated and
    Education Week in 2007)
   More the 60% of the men will             100% went to college
    spend time in jail                      Most will not even drive by a jail
   There may soon be no bus
    service in some areas                   Free bus service
   It is difficult to attract jobs or      Relatively easy to attract capital
    private capital
                                            Very safe; great parks
   Not safe; very few parks
   Difficult to get fresh food             Easy to get fresh food

                                                                             13
   “Opportunity” is a situation or condition that places individuals in a
    position to be more likely to succeed or excel.
   Opportunity structures are critical to opening pathways to success:
     High-quality education
     Healthy and safe environment
     Stable housing
     Sustainable employment
     Political empowerment
     Outlets for wealth-building
     Positive social networks
Racialized…                Spatialized…              Globalized…
• In 1960, African-        • marginalized people     • Economic
  American families in       of color and the very
  poverty were 3.8 times                               globalization
                             poor have been
  more likely to be          spatially isolated
  concentrated in high-      from opportunity via    • Climate change
  poverty neighborhoods      reservations, Jim
  than poor whites.          Crow, Appalachian
                             mountains, ghettos,     • the Credit and
• In 2000, they were 7.3     barrios, and the          Foreclosure crisis
  times more likely.         culture of
                             incarceration.
Physical

             Social                                            Cultural

                                      Outcomes
                                            &
                                       Behaviors

These structures interact in ways that produce racialized outcomes for different groups, but also
in ways that influence racial identity
Some people ride the “Up”   Others have to run up
   escalator to reach       the “Down” escalator to
      opportunity           get there
                                                      17
   Five decades of research
    indicate that your environment
    has a profound impact on your
    access to opportunity and
    likelihood of success
   High poverty areas with poor
    employment, underperforming
    schools, distressed housing and
    public health/safety risks
    depress life outcomes
     A system of disadvantage
     Many manifestations
        ▪ Urban, rural, suburban
   People of color are far more
    likely to live in opportunity
    deprived neighborhoods and
    communities
       Social determinants of race: Where
        you live dictates access to
        opportunity structures and also
        determines racial norms
                                             18
•   One variable can explain
                         why differential outcomes.



…to a multi-dimensional understanding….
          •   Structural Inequality
              –   Example: a Bird in a cage.
                  Examining one bar cannot
                  explain why a bird cannot fly.
                  But multiple bars, arranged
                  in specific ways, reinforce
                  each other and trap the bird.
Source: Barbara Reskin. http://faculty.uwashington.edu/reskin/
                                                                 20
School       Lower Educational
 Segregation   Outcomes for Urban
 (Economic)      School Districts




                Increased Flight
Neighborhood
                   of Affluent
  (Housing)
                 Families from
 Segregation
                  Urban Areas



                                    21
22
   Everyone should have fair access to the
    critical opportunity structures needed to
    succeed in life.

   Low Opportunity neighborhoods limit the
    development of human capital

   A Community of Opportunity approach
    can develop pathways that result in
    increased social and economic health,
    benefiting everyone
     Looking at people, places and linkages
      ▪ Linkages = building connections to areas of
        opportunity
      ▪ Example: Opportunity based fair housing



                                                      23
 Deliberate, coordinated, and
  regional investments in people,
  places, and linkages
 Two-pronged approach:
  ▪ Targeted in-place, urban
    revitalization strategies
  ▪ Mobility-based investments for
    marginalized residents to
    access high opportunity
    communities’

These are Not opposing strategies! A sustainable,
transformative development strategy requires both
How do you map opportunity? What has it been used for?
   Why are maps particularly effective
    in dealing with issues of equity?
     Regional, racial and social inequity often
      manifest as spatial inequity
     Maps are naturally the best tools to display
      this spatial phenomena

   Other disciplines and sectors are
    using multivariate mapping to
    problem solve
     Private industry
     Public sector
       ▪ NSP
       ▪ Recent interest in mapping by HUD for supporting
         sustainable communities
          ▪ See recent Urban Institute report



                                                            26
   Mapping visually represents the
                                                 cumulative effects of
                                                 opportunity segregation
                                                  Also a strong analytical tool to
                                                   look at disparate impact
                                                   (especially those impacts which
                                                   are spatial and racial in nature)



   • One map may contain tens of
   thousands of pieces of information than
   can be understood in seconds

A good map can enable you to tell
a story or solve a problem
   • Research has shown that people can
   solve problems faster with map based
   information, than by looking at charts,
   tables or graphs
   The Kirwan Institute has conducted
    “opportunity mapping” for states and
    metropolitan regions across the US
       Projects in at least a dozen states
        ▪   Full State Analysis: MA, CT, OH, FL
        ▪   Regions: Seattle, San Francisco, Chicago, Atlanta, Baltimore,
            Washington D.C., Detroit, Austin, Sacramento, Los Angeles,
            New York, Houston, New Orleans


   Why identify the “State of Opportunity”
       How are low-income groups situated in the State?
       How are racial and ethnic groups situated?
       How does housing intersect with race, class and
        opportunity
       What can be done to improve the opportunity
        landscape?
   How do you map opportunity?
     Data representing community conditions was gathered
      for neighborhood (census tracts) across the state or
      region
       ▪ Data for all indicators of community conditions was aggregated
         to the Census Tract level and analyzed to create a
         comprehensive opportunity index for the census tracts
         (neighborhoods) throughout the state or region
     The opportunity index is then mapped and census tracts
      are broken into quintiles based on their opportunity
      score
       ▪ Very Low, Low, Moderate, High, Very High
EDUCATION                                  HOUSING & NEIGHBORHOOD
   Student poverty rates                  HEALTH
   Reading/Math test scores
                                              Home ownership rates
   Adult educational attainment
                                              Crime incidence
   Teacher qualifications
                                              Vacancy rates
   Graduation rate
                                              Home value appreciation
                                              Neighborhood poverty rates
ECONOMIC HEALTH                               Population change
                                              Proximity to parks/open space
   Proximity to employment
                                              Proximity to toxic waste release
   Commute times
                                               sites
   Job growth trends
   Business start trends  All indicators grounded in social science research
   Unemployment rate      literature, also indicators can be more narrowly
   Public assistance rate tailored to meet the needs of particular
                              populations (e.g. public housing residents).
                                                                                  30
Education     Economic      Housing &        Final
Opportunity   Opportunity   Neighborhood   Opportunity
   Score         Score          Score      Score (Map)




                                                     31
Example of an Opportunity Map:
           Detroit MI
(Dark Areas = Most Opportunity Rich
           Communities)
  (Light Areas = Most Opportunity
          Deprived Areas)




                                    32
Opportunity Mapping: Mapping the Geography of Opportunity to Support Fair Housing and Educational Equity
100%
80%
60%
40%
20%
 0%
       % African American        % Asian             % Latino            % Whites
         Low and Very Low Opp.    Moderate Opportunity    High and Very High Opp.   34
   Background on this project
     Originated from effort to incorporate
      mapping analysis into legal services
   Partners
     Massachusetts Law Reform Institute,
      MA Legal Assistance Corp
      (foundation) and other Legal
      Services Entities
     Year long process of meeting with
      stakeholders to understand mapping
      needs and issues
     Training with service providers &
      agencies (using mapping for
      programming)
   Three areas of
    opportunity were
    analyzed using GIS
    mapping capability:
     Education Quality and
      Opportunity
     Economic Health and
      Transportation
     Neighborhood Stability and
      Health
Comprehensive Opportunity Map: Greater Boston
Opportunity Mapping: Mapping the Geography of Opportunity to Support Fair Housing and Educational Equity
Opportunity Mapping: Mapping the Geography of Opportunity to Support Fair Housing and Educational Equity
Opportunity Mapping: Mapping the Geography of Opportunity to Support Fair Housing and Educational Equity
   Program design and use within legal services
     New programming – proposed “Adopt A Zip Code” program
     Use in exploring client concerns/challenges
     Internal use by funder (MLAC)
   State level program design (public sector)
     New $5 million state affordable housing program, targeted
      to high opportunity communities (see press release)
     Targeting of $21 million in NSP funds to low opportunity
      communities by the MA Department of Housing and
      Community Development
   Implementation still unfolding
Opportunity Mapping: Mapping the Geography of Opportunity to Support Fair Housing and Educational Equity
   Connecticut
     “The mapping is guiding our next round of fair
     housing testing…our mapping report has been
     identified by the CT Department of Economic and
     Community Development as one of the three
     central principles that will guide its planning over
     the next five years.”
      ▪ Erin Boggs, CT Fair Housing Center
   Baltimore
     Remedial proposal in Thompson v. HUD
   Chicago (Leadership Council for Metropolitan Open Communities)
     Use in advising voucher holders in neighborhood selection
   Austin
     Use in evaluating city’s affordable housing investments
   Related Project: Washington County, OR
     Advised on opportunity map created by the County included in recent
      consolidated plan for County
       ▪ Exploring application in planning activities for the broader Portland region
   Child Development
     Jacksonville, FL & the Duvall County children’s commission
   Education
     Montclair, NJ and Louisville, KY (more on this in Stephen’s comments)
   Coalition Work (PRRAC)
     National Coalition on School Diversity & Civil Rights Task Force on
      Federal Housing Policy
Education applications and potential use for liability and remedy
►   Since the racialized nature of
    opportunity isolation is a spatial
    phenomena, maps are naturally
    an effective way to represent it
►   Maps allow us to understand
    volumes of data at a glance
    through layering
►   Mapping is a very powerful tool
    in looking at educational
    inequity & opportunity

                                         46
► School Composition
  layered over census
  tract data in Montclair,
  NJ
► Maps illustrate how
  residential segregation
  can manifests in
  schools




                             47
► Magnet school policy
  counteracts effects of
  neighborhood
  segregation




                           48
► Educational outcomes are a product of many inputs.
► Using social science research, we can identify factors
  that correlate with educational performance.
► Mapping looks at multiple factors which correlate
  with educational outcomes and social benefits, in a
  given neighborhood.




                                                           49
Direct Education Indicators
School poverty rate
Average teaching experience
Percent reading proficiency - 11th grade
Percent writing proficiency - 11th grade
Percent math proficiency - 11th grade
Graduation rate 2004-2005
Percent of teachers with Bachelor's degree
Percent of teachers with Master's degree
Total hardware/software (computer expenditure)
Access to libraries
Percent associates degree or higher


Other Neighborhood Indicators
Percent poverty
Percent unemployed

Access to prenatal care
Total crime indicator
Percent of houses owner-occupied
Percent of houses vacant
Housing median value
Child poverty rate
Median household income
SOUTHWEST OHIO   SOUTHWEST CENTRAL OHIO
►   Mapping the geographic distribution of
    opportunity helps us to evaluate where
    these opportunity mismatches exist in a
    community and to design interventions to
    move people to opportunity

►   Student assignment policies can be
    created using these indicators, drawing
    attendance Zones, boundaries, or through
    controlled choice plans.




                                               52
District            Indicators                     Steps                         Notes
Jefferson           1)   Median HH Income          1) Parental Choice            Two-Zone model
                    2)   Racial Composition of
County/Louisville        Neighborhood
                                                   within Resides Zone
, KY                3)   Ed. Attain of Parents

Berkeley , CAL      1)   Average Nbhd Income       1)   Sibling                  Controlled Choice, 3
                    2)   Ed. Attain of Adults in   2)   Parental Choice within   Attendance Zones;
                         Nbhd                           Zone assignment
                                                                                 Upheld by Cal. Ct. of
                    3)   Racial Composition of
                         Nbhd                                                    Appeals

Montclair, NJ       1)   Median HH income          1)   Special needs            Magnets Plan,
                    2)   HH Poverty Rates          2)   ESL
                                                                                 Freedom-of-Choice,
                    3)   # of F/R Lunch Stds       3)   Siblings
                    4)   Ed. Attain of Adults in   4)   Parental Choice within   3-Zones, K students
                         Nbhd                           Zone Assignment          only
                    5)   Racial Composition of
                         Nbhd

Chicago, IL         1) Median family income        1)   Siblings                 4 Census Block
                    2) Adult Ed. Attainment        2)   ½ of remaining seats
                    3) % of Single-Parent HH            proximity lottery
                                                                                 Zones
                    4) % of Owner-Occupied         3)   Remaining Seats by
                       Homes                            SES census block
                    5) % Of ESL students                zone
Source: Civil Rights Project at UCLA
Source: Civil Rights Project at UCLA
“We conclude that the particular policies
   challenged here – which aims to achieve social
   diversity by using neighborhood demographics
   when assigning students to schools – is not
   discriminatory. The challenged policy does not
   use racial classifications; in fact, it does not
   consider an individual student’s race at all
   when assigning the student to a school.”
- ACRF v. Berkeley Unified School Districts
►   GOAL: Each school has
    diversity of students
    from each zone, within
    5% point deviation of K
    class zone baseline.

►   K and transfer students
    are assigned based on
    parental preference and
    zone balance.
58
59
Opportunity Mapping: Mapping the Geography of Opportunity to Support Fair Housing and Educational Equity
Notes on Parents Involved




                            61
Justice Kennedy’s opinion is controlling as the fifth vote.




                                                              62
J. Kennedy, Concurring
             That the school districts consider these plans to
             be necessary should remind us that our highest
              aspirations are yet unfulfilled. School districts
               can seek to reach Brown’s objective of equal
               educational opportunity. But the solutions
                 mandated by these school districts must
                           themselves be lawful.



 In my view, the state-mandated racial classifications at
 issue, official labels proclaiming the race of all persons
in a broad class of citizens – elementary school students
    in one case, high school students in another – are
      unconstitutional as the cases now come to us.
“If school authorities are concerned that the student-
 body compositions of certain schools interfere with the
  objective of offering an equal educational opportunity
   to all of their students, they are free to devise race-
     conscious measures to address the problem in a
 general way without treating each student in a different
    fashion soley on the basis of systematic, individual
                       typing by race.


    School boards may pursue the goal of bringing together students of
 diverse backgrounds and races through other means, including strategic
   site selection of new schools; drawing attendance zones with general
     recognition of the demographics of the neighborhoods; allocating
    resources for special programs; recruiting students and faculty in a
    targeted fashion; and tracking enrollments, performance, and other
statistics by race. These mechanisms are race-conscious but do not lead
to different treatment based on a classifications that tells each student he
                       or she is to be defined by race.
                                                                          64
►After decades of integration efforts and hard
 won gains, many districts concerned that the
 reversion to neighborhood schools and local
 control would result in rapid resegregation
 implemented voluntary integration plans.

►This refers to integration efforts and
 strategies that a school system might
 employ, absent a legal obligation to do so.
66

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Opportunity Mapping: Mapping the Geography of Opportunity to Support Fair Housing and Educational Equity

  • 1. john a. powell, Jason Reece and Stephen Menendian The Kirwan Institute for the Study of Race & Ethnicity Prepared for the United States Department of Justice Housing and Civil Enforcement Section Washington, D.C. July 8, 2010
  • 2. The Community of Opportunity Model for Fair Housing & Educational Equity
  • 3. Today’s Discussion  Opportunity Matters (john) ▪ The Community of Opportunity model for fair housing  Methods and Implementation (Jason) ▪ Why and how do we map opportunity? ▪ What have opportunity maps been used for?  Legal Applications (Stephen) ▪ Educational applications and potential use for liability and remedy
  • 6. My parents were sharecroppers in the South. They left the South in search of opportunity. 6
  • 7. They moved north seeking opportunity and bought a house.  Today I would say they bought into a low opportunity neighborhood. 7
  • 8. The vacant grassy plots are not parks. 8
  • 10. I grew up in a low opportunity structure in a declining opportunity city. 10
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  • 13. LOW OPPORTUNITY HIGH OPPORTUNITY  Only 1 in 4 students in Detroit  The year my step daughter public schools finish high finished high school, 100% of school (based on analysis from the students graduated and Education Week in 2007)  More the 60% of the men will 100% went to college spend time in jail  Most will not even drive by a jail  There may soon be no bus service in some areas  Free bus service  It is difficult to attract jobs or  Relatively easy to attract capital private capital  Very safe; great parks  Not safe; very few parks  Difficult to get fresh food  Easy to get fresh food 13
  • 14. “Opportunity” is a situation or condition that places individuals in a position to be more likely to succeed or excel.  Opportunity structures are critical to opening pathways to success:  High-quality education  Healthy and safe environment  Stable housing  Sustainable employment  Political empowerment  Outlets for wealth-building  Positive social networks
  • 15. Racialized… Spatialized… Globalized… • In 1960, African- • marginalized people • Economic American families in of color and the very poverty were 3.8 times globalization poor have been more likely to be spatially isolated concentrated in high- from opportunity via • Climate change poverty neighborhoods reservations, Jim than poor whites. Crow, Appalachian mountains, ghettos, • the Credit and • In 2000, they were 7.3 barrios, and the Foreclosure crisis times more likely. culture of incarceration.
  • 16. Physical Social Cultural Outcomes & Behaviors These structures interact in ways that produce racialized outcomes for different groups, but also in ways that influence racial identity
  • 17. Some people ride the “Up” Others have to run up escalator to reach the “Down” escalator to opportunity get there 17
  • 18. Five decades of research indicate that your environment has a profound impact on your access to opportunity and likelihood of success  High poverty areas with poor employment, underperforming schools, distressed housing and public health/safety risks depress life outcomes  A system of disadvantage  Many manifestations ▪ Urban, rural, suburban  People of color are far more likely to live in opportunity deprived neighborhoods and communities  Social determinants of race: Where you live dictates access to opportunity structures and also determines racial norms 18
  • 19. One variable can explain why differential outcomes. …to a multi-dimensional understanding…. • Structural Inequality – Example: a Bird in a cage. Examining one bar cannot explain why a bird cannot fly. But multiple bars, arranged in specific ways, reinforce each other and trap the bird.
  • 20. Source: Barbara Reskin. http://faculty.uwashington.edu/reskin/ 20
  • 21. School Lower Educational Segregation Outcomes for Urban (Economic) School Districts Increased Flight Neighborhood of Affluent (Housing) Families from Segregation Urban Areas 21
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  • 23. Everyone should have fair access to the critical opportunity structures needed to succeed in life.  Low Opportunity neighborhoods limit the development of human capital  A Community of Opportunity approach can develop pathways that result in increased social and economic health, benefiting everyone  Looking at people, places and linkages ▪ Linkages = building connections to areas of opportunity ▪ Example: Opportunity based fair housing 23
  • 24.  Deliberate, coordinated, and regional investments in people, places, and linkages  Two-pronged approach: ▪ Targeted in-place, urban revitalization strategies ▪ Mobility-based investments for marginalized residents to access high opportunity communities’ These are Not opposing strategies! A sustainable, transformative development strategy requires both
  • 25. How do you map opportunity? What has it been used for?
  • 26. Why are maps particularly effective in dealing with issues of equity?  Regional, racial and social inequity often manifest as spatial inequity  Maps are naturally the best tools to display this spatial phenomena  Other disciplines and sectors are using multivariate mapping to problem solve  Private industry  Public sector ▪ NSP ▪ Recent interest in mapping by HUD for supporting sustainable communities ▪ See recent Urban Institute report 26
  • 27. Mapping visually represents the cumulative effects of opportunity segregation  Also a strong analytical tool to look at disparate impact (especially those impacts which are spatial and racial in nature) • One map may contain tens of thousands of pieces of information than can be understood in seconds A good map can enable you to tell a story or solve a problem • Research has shown that people can solve problems faster with map based information, than by looking at charts, tables or graphs
  • 28. The Kirwan Institute has conducted “opportunity mapping” for states and metropolitan regions across the US  Projects in at least a dozen states ▪ Full State Analysis: MA, CT, OH, FL ▪ Regions: Seattle, San Francisco, Chicago, Atlanta, Baltimore, Washington D.C., Detroit, Austin, Sacramento, Los Angeles, New York, Houston, New Orleans  Why identify the “State of Opportunity”  How are low-income groups situated in the State?  How are racial and ethnic groups situated?  How does housing intersect with race, class and opportunity  What can be done to improve the opportunity landscape?
  • 29. How do you map opportunity?  Data representing community conditions was gathered for neighborhood (census tracts) across the state or region ▪ Data for all indicators of community conditions was aggregated to the Census Tract level and analyzed to create a comprehensive opportunity index for the census tracts (neighborhoods) throughout the state or region  The opportunity index is then mapped and census tracts are broken into quintiles based on their opportunity score ▪ Very Low, Low, Moderate, High, Very High
  • 30. EDUCATION HOUSING & NEIGHBORHOOD  Student poverty rates HEALTH  Reading/Math test scores  Home ownership rates  Adult educational attainment  Crime incidence  Teacher qualifications  Vacancy rates  Graduation rate  Home value appreciation  Neighborhood poverty rates ECONOMIC HEALTH  Population change  Proximity to parks/open space  Proximity to employment  Proximity to toxic waste release  Commute times sites  Job growth trends  Business start trends All indicators grounded in social science research  Unemployment rate literature, also indicators can be more narrowly  Public assistance rate tailored to meet the needs of particular populations (e.g. public housing residents). 30
  • 31. Education Economic Housing & Final Opportunity Opportunity Neighborhood Opportunity Score Score Score Score (Map) 31
  • 32. Example of an Opportunity Map: Detroit MI (Dark Areas = Most Opportunity Rich Communities) (Light Areas = Most Opportunity Deprived Areas) 32
  • 34. 100% 80% 60% 40% 20% 0% % African American % Asian % Latino % Whites Low and Very Low Opp. Moderate Opportunity High and Very High Opp. 34
  • 35. Background on this project  Originated from effort to incorporate mapping analysis into legal services  Partners  Massachusetts Law Reform Institute, MA Legal Assistance Corp (foundation) and other Legal Services Entities  Year long process of meeting with stakeholders to understand mapping needs and issues  Training with service providers & agencies (using mapping for programming)
  • 36. Three areas of opportunity were analyzed using GIS mapping capability:  Education Quality and Opportunity  Economic Health and Transportation  Neighborhood Stability and Health
  • 41. Program design and use within legal services  New programming – proposed “Adopt A Zip Code” program  Use in exploring client concerns/challenges  Internal use by funder (MLAC)  State level program design (public sector)  New $5 million state affordable housing program, targeted to high opportunity communities (see press release)  Targeting of $21 million in NSP funds to low opportunity communities by the MA Department of Housing and Community Development  Implementation still unfolding
  • 43. Connecticut  “The mapping is guiding our next round of fair housing testing…our mapping report has been identified by the CT Department of Economic and Community Development as one of the three central principles that will guide its planning over the next five years.” ▪ Erin Boggs, CT Fair Housing Center
  • 44. Baltimore  Remedial proposal in Thompson v. HUD  Chicago (Leadership Council for Metropolitan Open Communities)  Use in advising voucher holders in neighborhood selection  Austin  Use in evaluating city’s affordable housing investments  Related Project: Washington County, OR  Advised on opportunity map created by the County included in recent consolidated plan for County ▪ Exploring application in planning activities for the broader Portland region  Child Development  Jacksonville, FL & the Duvall County children’s commission  Education  Montclair, NJ and Louisville, KY (more on this in Stephen’s comments)  Coalition Work (PRRAC)  National Coalition on School Diversity & Civil Rights Task Force on Federal Housing Policy
  • 45. Education applications and potential use for liability and remedy
  • 46. Since the racialized nature of opportunity isolation is a spatial phenomena, maps are naturally an effective way to represent it ► Maps allow us to understand volumes of data at a glance through layering ► Mapping is a very powerful tool in looking at educational inequity & opportunity 46
  • 47. ► School Composition layered over census tract data in Montclair, NJ ► Maps illustrate how residential segregation can manifests in schools 47
  • 48. ► Magnet school policy counteracts effects of neighborhood segregation 48
  • 49. ► Educational outcomes are a product of many inputs. ► Using social science research, we can identify factors that correlate with educational performance. ► Mapping looks at multiple factors which correlate with educational outcomes and social benefits, in a given neighborhood. 49
  • 50. Direct Education Indicators School poverty rate Average teaching experience Percent reading proficiency - 11th grade Percent writing proficiency - 11th grade Percent math proficiency - 11th grade Graduation rate 2004-2005 Percent of teachers with Bachelor's degree Percent of teachers with Master's degree Total hardware/software (computer expenditure) Access to libraries Percent associates degree or higher Other Neighborhood Indicators Percent poverty Percent unemployed Access to prenatal care Total crime indicator Percent of houses owner-occupied Percent of houses vacant Housing median value Child poverty rate Median household income
  • 51. SOUTHWEST OHIO SOUTHWEST CENTRAL OHIO
  • 52. Mapping the geographic distribution of opportunity helps us to evaluate where these opportunity mismatches exist in a community and to design interventions to move people to opportunity ► Student assignment policies can be created using these indicators, drawing attendance Zones, boundaries, or through controlled choice plans. 52
  • 53. District Indicators Steps Notes Jefferson 1) Median HH Income 1) Parental Choice Two-Zone model 2) Racial Composition of County/Louisville Neighborhood within Resides Zone , KY 3) Ed. Attain of Parents Berkeley , CAL 1) Average Nbhd Income 1) Sibling Controlled Choice, 3 2) Ed. Attain of Adults in 2) Parental Choice within Attendance Zones; Nbhd Zone assignment Upheld by Cal. Ct. of 3) Racial Composition of Nbhd Appeals Montclair, NJ 1) Median HH income 1) Special needs Magnets Plan, 2) HH Poverty Rates 2) ESL Freedom-of-Choice, 3) # of F/R Lunch Stds 3) Siblings 4) Ed. Attain of Adults in 4) Parental Choice within 3-Zones, K students Nbhd Zone Assignment only 5) Racial Composition of Nbhd Chicago, IL 1) Median family income 1) Siblings 4 Census Block 2) Adult Ed. Attainment 2) ½ of remaining seats 3) % of Single-Parent HH proximity lottery Zones 4) % of Owner-Occupied 3) Remaining Seats by Homes SES census block 5) % Of ESL students zone
  • 54. Source: Civil Rights Project at UCLA
  • 55. Source: Civil Rights Project at UCLA
  • 56. “We conclude that the particular policies challenged here – which aims to achieve social diversity by using neighborhood demographics when assigning students to schools – is not discriminatory. The challenged policy does not use racial classifications; in fact, it does not consider an individual student’s race at all when assigning the student to a school.” - ACRF v. Berkeley Unified School Districts
  • 57. GOAL: Each school has diversity of students from each zone, within 5% point deviation of K class zone baseline. ► K and transfer students are assigned based on parental preference and zone balance.
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  • 61. Notes on Parents Involved 61
  • 62. Justice Kennedy’s opinion is controlling as the fifth vote. 62
  • 63. J. Kennedy, Concurring That the school districts consider these plans to be necessary should remind us that our highest aspirations are yet unfulfilled. School districts can seek to reach Brown’s objective of equal educational opportunity. But the solutions mandated by these school districts must themselves be lawful. In my view, the state-mandated racial classifications at issue, official labels proclaiming the race of all persons in a broad class of citizens – elementary school students in one case, high school students in another – are unconstitutional as the cases now come to us.
  • 64. “If school authorities are concerned that the student- body compositions of certain schools interfere with the objective of offering an equal educational opportunity to all of their students, they are free to devise race- conscious measures to address the problem in a general way without treating each student in a different fashion soley on the basis of systematic, individual typing by race. School boards may pursue the goal of bringing together students of diverse backgrounds and races through other means, including strategic site selection of new schools; drawing attendance zones with general recognition of the demographics of the neighborhoods; allocating resources for special programs; recruiting students and faculty in a targeted fashion; and tracking enrollments, performance, and other statistics by race. These mechanisms are race-conscious but do not lead to different treatment based on a classifications that tells each student he or she is to be defined by race. 64
  • 65. ►After decades of integration efforts and hard won gains, many districts concerned that the reversion to neighborhood schools and local control would result in rapid resegregation implemented voluntary integration plans. ►This refers to integration efforts and strategies that a school system might employ, absent a legal obligation to do so.
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