© 2015 HWAC 1 The Path of Data-Driven Decision Making.

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Presentation transcript:

© 2015 HWAC 1 The Path of Data-Driven Decision Making

© 2015 HWAC 2 How do health and housing fit together in North Texas? Asthma Asthma is the largest contributor to chronic poor health among children in North Texas Indoor asthma triggers are a large contributor to asthma severity Asthma can be successfully managed with the right support and with indoor trigger management Housing Poor housing conditions drive poor asthma outcomes In North Texas, mold and rodents are the largest housing related drivers of uncontrolled childhood asthma Leaky plumbing, indoor gas heaters, exposure to the outside and unmoderated temperature also trigger asthma

© 2015 HWAC 3 What databases exist already to assess childhood asthma and housing? DatabaseIndicator Dallas Forth Worth Hospital CouncilAsthma Emergency Room Visits Children’s Health 2015 Community Health Survey Asthma Prevalence; Asthma Control Dallas Central Appraisal DistrictHousing Quality metrics How do we connect data from these different sources? Zipcodes

© 2015 HWAC 4 Current asthma: Top 10 Zipcodes Asthma Emergency Room Visits: Top 10 Zipcodes Poor or very poor housing quality: Top 10 ZipcodesPopulation Under 18 y.o Y YY Y Y Y Y Y Y Y Y YYY Y Y YYY YYY Y Y YYtop Y Y YY Crosswalk of Zipcodes with Metrics This neighborhood is part of an existing strategic growth plan for the City of Dallas

© 2015 HWAC 5 Preliminary Geographic Target Area 75216

© 2015 HWAC 6 CHECKING ASSUMPTIONS

© 2015 HWAC 7 Conditions/Desirability/Utility CDU Rating Dallas County Data Source: Certified Data files with supplemented changes

© 2015 HWAC 8 Heating type of “Poor” and “very Poor” Rating Data Source: Certified Data files with supplemented changes

© 2015 HWAC 9 AC type of “Poor” and “very Poor” Rating Data Source: Certified Data files with supplemented changes

© 2015 HWAC 10 House renovations  ONLY 1.5 % houses have been renovated  ONLY 3 % renovated houses were rated as “Poor” or “Very Poor”.

© 2015 HWAC 11 A MANAGEABLE SIZE FOR INTERVENTION

© 2015 HWAC 12 Narrowing Area Further is 14.6 square miles Census tracts are still large but they are the smallest area for which we have reliable data Because we only have asthma data at the zipcode level, we have to use different metrics to identify target census tracts Chose to focus on programmatic and partner needs Existing home repair programs only work with homes that are owner-occupied.

© 2015 HWAC 13 Owner Occupancy Rates for Notes: ACS year estimates

© 2015 HWAC 14 Census Tracts with High Proportion of Poor/Very Poor Housing CENSUS_TRACT Count of Poor/Very poor Housing If the intervention targets “5400” and “5700” census tracts, then it would address 30 % of poor or very poor housing

© 2015 HWAC 15 Approx. Sample Size for Intervention # of households # of population under # of population 5 to 11 years old % current asthma with active symptoms 8889 % owner-occupied5457 Notes: ACS year estimates

© 2015 HWAC 16 WORKING WITH EXISTING PROGRAMS

© 2015 HWAC 17 City of Dallas Programs Major Systems Repair- up to $20,000; own home; no age limit; 80% or below of area median family income Emergency Repairs- up to $7,500; own home; 60 yrs. or older or disabled; 80% or below of area median family income People Helping People- volunteer work; external work;own home; 62 yrs.or older or disabled; 50% or below of area median family income Reconstruction- Same as Major Systems Repair plus repairs exceed limits; own home; 62 yrs.or older; 80% or below of area median family income; no liens on home Warranty- last resort situations up to $2,000; own home; 80% or below of area median family income City of Dallas Housing/Community Services Department,

© 2015 HWAC 18 Goal: Create safe places for children to live, learn and play free from asthma triggers Asthma-Healthy Physical Environments

© 2015 HWAC 19 City of Dallas Programs Land Bank- Newly Constructed homes on vacant property Mortgage Assistance- up to $20,000 to assist homebuyer with down payment, closing costs, and principal reduction City of Dallas Housing/Community Services Department,

© 2015 HWAC 20 Goal: Create safe places for children to live, learn and play free from asthma triggers Asthma-Healthy Physical Environments

© 2015 HWAC 21 Dallas Area Habitat for Humanity A Brush With Kindness – Exterior repairs for owner occupants; low monthly income of about $1,100; large proportion are elderly or disabled LEED Standard New Home Construction Dallas Area Habitat for Humanity, Programs

© 2015 HWAC 22 Dallas Area Habitat for Humanity Family Impact –Asset building –Financial management skills –Address housing needs Overcrowding Poor conditions Cost burden –Break rent/move cycle –Child outcomes Dallas Area Habitat for Humanity, Benefits

© 2015 HWAC 23 Dallas Area Habitat for Humanity 2013 Habitat Homeowner Survey Financial Impact Partner families have over $27 million in home equity

© 2015 HWAC 24 Dallas Area Habitat for Humanity Child Outcome Change Since Moving Into Habitat Home: Children Over Age Five 2013 Habitat Homeowner Survey

© 2015 HWAC 25 Safe at Home – Repairs for North Texas homeowners in need; typically over the age of 65, disabled, living with children (under 18) in the home, or veterans; common projects include small improvements to ensure accessibility throughout the home; more critical repairs may include flooring repairs, security improvements, minor plumbing and electrical work REO Program – Foreclosed properties are rehabilitated and sold to low-income home buyers Rebuilding Together Greater Dallas Rebuilding Together Greater Dallas, Programs

© 2015 HWAC 26 SUMMARY

© 2015 HWAC 27 Data analysis Check with partners about existing resources Defined programmatic goal Analyze health and housing data together Determine preliminary target area with greatest need Are there existing programs within the target area that can be leveraged? Does the population in the target area match the requirements for existing programs (ie, homeowners vs. renters)?