Transcript Building an Analysis of Impediments to Affordable Housing (AI)

Building an Analysis of Impediments to
Affordable Housing (AI)
City of Seattle - Debra Rhinehart, Panelist
Context--Consolidated Plan
2010 Federal Funding
•
•
•
•
CDBG
HOME
HOPWA
ESG
$13,000,000
$ 4,615,512
$ 1,760,439
$ 535,274
• One time ARRA grants over three
years:
CDBG-R
$ 3,300,000
HPRP
$ 4,993,052
Who Manages Consolidated Plan
Money?
• City of Seattle
Consolidated Plan funds
administered by:
• Human Services
Department (HSD)
• Economic Development
Department (OED)
• Office of Housing (OH)
2010 Proposed Allocation by Departments
All Funds
OED
22.4%
HSD
37.1%
OH
40.4%
Seattle’s 2010 Estimated
Housing Funding Includes:
•
•
•
•
CDBG
$ 2,762,293
HOME
$ 4,615,512
Housing Levy
$20,714,286
Other state, county, private
foundation and federal sources
• Funding provides for:
LI Rental production & preservation
Homebuyer assistance
Renter assistance
Seattle Affordable
Housing Strategies
• Address housing needs of low and
extremely low-income households;
• Boost supply of housing for
moderate wage workers in the city;
• Support the City’s Ten-Year Plan to
end Homelessness.
• Affordable Housing Strategies
summary
http://www.seattle.gov/housing/planning/docs/SeattleAf
fordableHousingStrategiesSummary.pdf
Developing the City’s 2008 AI
• Review of laws,
regulations, policies
• Assess effect of
laws/policies on
location, availability of
housing
• Evaluate public and
private conditions that
affect affordable
housing
• Data analysis for
housing inventory in
range of unit sizes
• Strategies to address
identified
impediments
• Integration of AI into
2009-2012
Consolidated Plan
2008 AI Challenges
• Coordinate the work: consultants and inhouse staff in multiple departments
• Use of both Census and ACS data, but
there are reliability and comparability
issues with the two sources; leads to
qualifying conclusions
• Many types and sources of data, from
discrimination complaints to lending data
to federal statistics.
• Difficult to create coherent conclusions
and recommendations to address
impediments.
Selected AI Data Sources
Analysis Topic
Method/Data Source(s)
Background Data:
• Demographic
• Income
• Employment
• US Census 2000
• American Community Survey (ACS)
2004 and 2006
• 2002-2004 Longitudinal EmployerHousehold Dynamics, OntheMap
Housing Profile:
• Housing Supply Characteristics
• Homeownership Market
• Rental Market
• Subsidized Rental Housing
• Housing Tenure
• Cost burden and Affordability
• Housing Segregation
• US Census 2000
• ACS 2004 and 2006
• Seattle Housing Authority
• Northwest Multiple Listing Service
• Dupre & Scott Apartment Advisors, Inc.
• Office of Housing Assisted Housing
database
Impediments in Private Sector:
• Fair Housing complaints
• Lending and Financing Trends
• Rental Ads
• Mortgage & Foreclosure Trends
• WA State Human Rights Commission
• Seattle Office for Civil Rights
• Home Mortgage Disclosure Act data
(HMDA)
• Northwest Rentals, Seattle Weekly
• WA Center for Real Estate Research
AI in the Westchester County
decision era
• Lessons learned
• Will 2010 US Census help? Gives us
back census tract and GIS tools
• Increasing interest in tools available at
City/County level to help with analysis;
potential regional collaboration
• Role of HUD in assisting
grantees to conduct AI
– Anticipating rule refinement?
– Integration of CHAS/2010 Census
data?
– Consistency in policy and interpretation?
Contacts & Websites
• Debra Rhinehart, Senior Planner, CDBG
Administration, HSD, (206) 685-0574
[email protected]
• Laura Hewitt Walker, Policy & Program
Development, Office of Housing
[email protected]
• City of Seattle 2009-2012 Consolidated Plan at
http://www.seattle.gov/humanservices/community
_development/conplan/default.htm
• City of Seattle 2008 Analysis of Impediments to
Affordable Housing at
http://www.seattle.gov/housing/planning/docs/Ana
lysis_Impediments.pdf