Data Center Program Lyndia Wilson October 6, 2016 Homeless Coalition Rallying Around Data.

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Presentation transcript:

Data Center Program Lyndia Wilson October 6, 2016 Homeless Coalition Rallying Around Data

Data Center Program Public Health Framework Assessment Sections Homelessness in Spokane County Root Causes and Impact of Homelessness Assets, Initiatives, Recommendations Collective Work Results from report Lessons learned Questions

Data Center Program Public Health Framework Interview stakeholders Identify data resources Compile data Inventory assets, efforts, model practice Identify gaps and issues Distribute widely Use data

Data Center Program Why use data? Compilation of information Education and awareness Program decisions New partnerships and collaborations Policy changes Grant writing Strategic planning and prioritization Evaluation of efforts

Data Center Program PIT Count: 1,033 (2015) Schools: 3,013 (2014) Community Service Providers: 5,000/year Other Considerations Under-estimated reports At-risk for homelessness Homelessness in Spokane County

Data Center Program Root Causes Research consistently points to two key factors as root of homelessness: poverty lack of affordable housing

Data Center Program Cost of Basic Needs in Spokane Cost-Per-Month for Basic Needs for a Family of Four, Spokane County, 2014 Cost of basic needs equates to 180% FPL Approximately 34% or 1 in 3 Spokane County households do not have enough income to meet their basic cost of needs Food$870 Housing$702 Utilities$153 Transportation$262 Child Care$1,088 Health Care$212 Personal and Household$330 Total$3,617

Data Center Program Affordable Housing in Spokane Affordable housing equates to 30% or less of household income In 2013, 54% of renters in Spokane County were paying more than 30%

Data Center Program Circumstances and Characteristics Contributing to Homelessness: Lack of, or difficulties accessing, social supports and services Personal catastrophic events Domestic violence Drug and alcohol use Debilitating illness (Mental Illness) Discrimination (gender, race, etc)

Data Center Program Vulnerable Populations At-risk: Mentally ill Single parents Veterans Children Foster youth Elderly Incarcerated

Data Center Program Homeless Adult Physical and Mental Health: Significantly poorer overall health High cholesterol High blood pressure Limited activity Higher levels of depression Higher levels of tobacco Use Don’t have insurance, could not see a doctor due to cost

Data Center Program

Homeless Youth Health and Education: Less likely to feel like they can go to a parent for help Do not look forward to the future Feel alone in life Depression Seriously considered, planned or attempted suicide Mobility Attendance GPA

Data Center Program Impact of Homelessness in Spokane Societal: Stigma of homelessness; basic needs not met, can’t become productive citizen Financial: Millions of dollars spent on addressing homelessness by government, medical system, utilities, social services, and more Health: Long term health impact

Data Center Program Assets, Initiatives, Recommendations Local, state, and national funding and programs for the homeless Affordable housing efforts Legislation passed SB 5405 and HB 2263 Recommendation themes Data sharing Community coordination and system improvements Prevention Discrimination and quality of homes

Data Center Program Alignment and Coordination

No single organization or sector can solve complex social issues Engagement with new partners imperative Redefine your role within a larger context for impact Coordinate agendas with other partner organizations to reinforce activities © 2011 FSG© 2011 FSG

Think about long term process and gradual impact rather than short term solutions Communicate regularly and openly with each other – spend time on relationship building Redirect activities if needed Collect and analyze relevant data for shared measurement © 2011 FSG© 2011 FSG

Data Center Program Alignment and Coordination

Data Center Program Rallying around Homeless Data Awareness and education Planning Defined populations for investors Connections between sectors and interest areas New partners Resources obtained Measurement

25 Years of Lessons: Community Work © 2011 FSG© 2011 FSG 21 Focus effort What gets measured, gets done Use model practice that works Increase cross-sector alignment and learning among organizations Expand partners to new ones, including funders, business Take time to build relationships Align work and increase momentum Leverage resources (new or redirected)

Shared goal City and County Projects Support Services Community Collaborations Local to national legislation Non-profits Housing Providers Investors Questions?