refining indicators finding the best measures for improvements in urban housing michael barndt...
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Refining IndicatorsFinding the Best Measures for Improvements in Urban Housing
Michael BarndtNeighborhood Data Center Program
Nonprofit Center of Milwaukee
Community Indicators ConferenceReno, Nevada March 2004
Where I’m 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
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
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
Varying Perspectives
Housing MarketsHousing PreservationResident BenefitsEquity and JusticeQuality of Life
Varying Perspectives Housing Markets
Values increase, investment attracted, quality maintained
Home ownership, equity through appreciation
Development rewardsStrong, safe, organized neighborhoods
Attractiveness, demand, value
Varying PerspectivesHousing Preservation
Loss of housing stock may trump housing production
Housing condition enforcementResources to maintain and restorePredatory behaviorLandlord behaviorProgram mix appropriate to needs
Varying PerspectivesResident Benefit
Affordability – supporting access, reasonable costs for housing
Ownership as asset – wealth buildingChoices for renters – ability to be
effective consumersPlace/ People – GentrificationHomeless
Varying PerspectivesEquity and Justice
SegregationMarket perception Institutional behaviors Access to resourcesPolitical will to respondSpatial isolation within region
Race, income, political jurisdiction
Varying PerspectivesQuality of Life
Much more than housing Mobility Unstable Transitions “Urban Village” Safety “Community” Collective local action Economically viable Services Role in region
Parsing Indicators
OwnershipValueEquity – (ownership/value)Housing Supply Condition InvestmentEquality
Ownership Definition and measurement
Census /city approachData accuracy
Homestead effects Land contract sub-market
Rate of ownership Capacity factor
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
“Ownership”Getting at the large term
Responsibilities of ownership Investment Order Neighborhood upkeep Organizations – Block clubs
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
ValueTracking Assessment
Model Quality “Comparable” Zones Amenity effects
Implementation Effect of volume of information Data limitations – quality/ condition Pace – sensitivity choices Administrative effects
ValueUnbundling the Indicator
Differential markets – duplexesShifting housing stock base
Consider a resident owner perspectiveFlipping – distortions in market
information
ValueEffects of perception
Changing expectationsSpeculation effects
Investment/ commodityEffects on investment/ maintenance
decisions by ownersEffects on lending decisions
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
Housing SupplyVacancy
Hard to measure vacant units Especially those ready for occupancy Some units taken off market – duplexes
Vacant land Understated Government ownership
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
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”
InvestmentForeclosure
Tax foreclosureMortgage foreclosure
Patterns of concentration A subset - elderly Resident owner/ Investor owner Recent policy effects
Patterns of return of property to the market
Investment Maintenance/ Improvements
Costs to maintain The back side to “bootstrap” options
Lending limits when costs exceed value Costs do not vary by geography
IncentivesDisincentives
Effects of lax enforcement
InvestmentPrograms
Mix of options and resources Running out of funds
How well are options marketed Is there capacity to implement
Especially localWho does not fit the options?
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
EqualityDiscrimination by race
HMDA lending / refusal patterns Importance of testingDebate over measures of segregationExtent of transitory “integrated”
neighborhoodsExtent of “unstable” “integrated”
neighborhoods
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
EqualityLending practices
From “trust” Racial effects Community connections – local lending
To formulas What is the bias in these?
EqualityDiscrimination against place
Redlining Regional equity
Taxing resources Schools
Public policy Local capacity
For self help For locally driven development
Public/ nonprofit partnerships