Refining%20Indicators%20Finding%20the%20Best%20Measures%20for%20Improvements%20in%20Urban%20Housing - PowerPoint PPT Presentation

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Refining%20Indicators%20Finding%20the%20Best%20Measures%20for%20Improvements%20in%20Urban%20Housing

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Refining Indicators Finding the Best Measures for Improvements in Urban Housing Michael Barndt Neighborhood Data Center Program Nonprofit Center of Milwaukee – PowerPoint PPT presentation

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Title: Refining%20Indicators%20Finding%20the%20Best%20Measures%20for%20Improvements%20in%20Urban%20Housing


1
Refining IndicatorsFinding the Best Measures for
Improvements in Urban Housing
  • Michael Barndt
  • Neighborhood Data Center Program
  • Nonprofit Center of Milwaukee
  • mbarndt_at_nonprofitcentermilwaukee.org
  • Community Indicators Conference
  • Reno, Nevada March 2004

2
Where Im Coming From
  • Nonprofit Center of Milwaukee Capacity building
    for nonprofits
  • Neighborhood Data Center a clearinghouse
    defined by a Data/GIS Services mission
  • Focus on neighborhood program decision-support
    work is demand driven retail services
  • Rich data environment in Milwaukee especially
    in housing
  • Rich technology environment program staff of 9
  • 6 are apprentices from local universities
  • Member National Neighborhood Indicators
    Partnership and Making Connections Initiative

3
There are two kinds of people in the world
  • Those who think that we can all come together and
    find through consensus that we are all alike
    that there is one common view
  • Those who see differences that perhaps . there
    are three kinds of people
  • Academic syndrome - Closure problems
  • Confirmed by market driven service
  • Continually new, diverse requests
  • Well beyond a set of indicators and reports

4
Talking Points
  • Multiple contexts for viewing a subject
  • Indicators should not be oversimplified their
    contents change as they are unbundled
  • Place/time/sub-communities matter
  • Use of data is more than creating indicators
  • We still are not able to measure much of what we
    would really like to know

5
Varying Perspectives
  • Housing Markets
  • Housing Preservation
  • Resident Benefits
  • Equity and Justice
  • Quality of Life

6
Varying Perspectives Housing Markets
  • Values increase, investment attracted, quality
    maintained
  • Home ownership, equity through appreciation
  • Development rewards
  • Strong, safe, organized neighborhoods
  • Attractiveness, demand, value

7
Varying PerspectivesHousing Preservation
  • Loss of housing stock may trump housing
    production
  • Housing condition enforcement
  • Resources to maintain and restore
  • Predatory behavior
  • Landlord behavior
  • Program mix appropriate to needs

8
Varying PerspectivesResident Benefit
  • Affordability supporting access, reasonable
    costs for housing
  • Ownership as asset wealth building
  • Choices for renters ability to be effective
    consumers
  • Place/ People Gentrification
  • Homeless

9
Varying PerspectivesEquity and Justice
  • Segregation
  • Market perception
  • Institutional behaviors
  • Access to resources
  • Political will to respond
  • Spatial isolation within region
  • Race, income, political jurisdiction

10
Varying PerspectivesQuality of Life
  • Much more than housing
  • Mobility
  • Unstable Transitions
  • Urban Village
  • Safety
  • Community
  • Collective local action
  • Economically viable
  • Services
  • Role in region

11
Parsing Indicators
  • Ownership
  • Value
  • Equity (ownership/value)
  • Housing Supply
  • Condition
  • Investment
  • Equality

12
Ownership Definition and measurement
  • Census /city approach
  • Data accuracy
  • Homestead effects
  • Land contract sub-market
  • Rate of ownership
  • Capacity factor

13
OwnershipWho owns?
  • Life Cycle patterns the Elderly
  • Transition of property
  • Late interventions
  • Owner renter fault lines
  • Bi-modal characteristics income, race,
    mobility, children, participation, multiple
    problems
  • Persistence of renters
  • Policy biases toward ownership
  • Investor owners// slum lords
  • Patterns/ Practice

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16
OwnershipGetting at the large term
  • Responsibilities of ownership
  • Investment
  • Order
  • Neighborhood upkeep
  • Organizations Block clubs

17
ValueTracking Sales data
  • Sales
  • Limited numbers of transactions
  • Affected by type
  • Affected by circumstance arms length
  • Sales perspectives
  • Volume
  • Value/ changing value
  • Within a market

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21
ValueTracking Assessment
  • Model
  • Quality
  • Comparable Zones
  • Amenity effects
  • Implementation
  • Effect of volume of information
  • Data limitations quality/ condition
  • Pace sensitivity choices
  • Administrative effects

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24
ValueUnbundling the Indicator
  • Differential markets duplexes
  • Shifting housing stock base
  • Consider a resident owner perspective
  • Flipping distortions in market information

25
ValueEffects of perception
  • Changing expectations
  • Speculation effects
  • Investment/ commodity
  • Effects on investment/ maintenance decisions by
    owners
  • Effects on lending decisions

26
EquityOwnership as Wealth Building
  • Common assumption
  • Equity deteriation
  • Use of equity loans
  • Effects of predatory lending
  • Value of bootstrap programs
  • Difficulties measuring resident experience
  • Wealth other than income
  • Debt and factors affecting debt
  • Credit worthiness Access to primary financial
    systems

27
Housing SupplyVacancy
  • Hard to measure vacant units
  • Especially those ready for occupancy
  • Some units taken off market duplexes
  • Vacant land
  • Understated
  • Government ownership

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31
Housing supplyInterpretation
  • Abandonment as a stage
  • Threshold for investment decisions
  • Triage has come to mean public abandonment of
    certain neighborhoods
  • Relationship to population change
  • Did public leave first?
  • Or did housing condition/options drive them out
  • Regional growth often reinvents neighborhoods
    beyond basic needs for supply

32
Housing supplyUse
  • Residents like vacant lots
  • Are lots effective open space?
  • Are lots used for other purposes?
  • Gardens
  • Tot lots
  • Are lots appropriate for redevelopment?
  • Assembly issues
  • Land-banking as a policy
  • Holding action
  • Obsolete footprints
  • Bias against infill

33
InvestmentHMDA
  • Investment patterns
  • Lending packages for slumlords
  • Sub-prime lending
  • Predatory lending

34
InvestmentForeclosure
  • Tax foreclosure
  • Mortgage foreclosure
  • Patterns of concentration
  • A subset - elderly
  • Resident owner/ Investor owner
  • Recent policy effects
  • Patterns of return of property to the market

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37
Investment Maintenance/ Improvements
  • Costs to maintain
  • The back side to bootstrap options
  • Lending limits when costs exceed value
  • Costs do not vary by geography
  • Incentives
  • Disincentives
  • Effects of lax enforcement

38
InvestmentPrograms
  • Mix of options and resources
  • Running out of funds
  • How well are options marketed
  • Is there capacity to implement
  • Especially local
  • Who does not fit the options?

39
InvestmentAccess to capital
  • Affordability
  • Work-income comes first
  • Costs of new investments
  • Public Policy
  • Public policy stresses increasing middle income
    participation/ or removing lower income
    concentrations
  • Failure of trickle-down
  • Tax structure subsidizing wealth
  • Costs
  • Increasing burden - of income spent on housing
  • Risks associated with bootstrap approaches

40
EqualityDiscrimination by race
  • HMDA lending / refusal patterns
  • Importance of testing
  • Debate over measures of segregation
  • Extent of transitory integrated neighborhoods
  • Extent of unstable integrated neighborhoods

41
EqualityDiscrimination against persons
  • Who cares about low income housing supply
  • Renter programs
  • Homeless programs
  • Employment wages/ stability
  • Low income solutions in the past
  • Public housing ghettos
  • Weeding out
  • Felons
  • Transitional services
  • Homeless linking to the full cycle

42
EqualityLending practices
  • From trust
  • Racial effects
  • Community connections local lending
  • To formulas
  • What is the bias in these?

43
EqualityDiscrimination against place
  • Redlining
  • Regional equity
  • Taxing resources
  • Schools
  • Public policy
  • Local capacity
  • For self help
  • For locally driven development
  • Public/ nonprofit partnerships

44
EqualityRedefining place
  • Destroy a village to save it
  • Eliminate old housing stock
  • Recreate a community, but for different people
  • Gentrification
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