Contra Costa County: Annual Point in Time Count Report 2020

FIGURE ONE: 2020 PIT Count Sheltered and Unsheltered . homeless services, Contra Costa County has been conducting annual PIT counts dCriteria.pdf
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updated 8/1 2/20 1 Contents EXECUTIVE SUMMARY 3 INTRODUCTION . 5 NIGHT OF COUNT 6 Total Count . 6 FIGURE ONE: 2020 PIT Count Sheltered and Unsheltered . 6 Count Trends . 7 TABLE ONE: Sheltered, Unshel tered, and Total PIT Trends, 2015 Р2020 7 FIGURE TWO: Sheltered and Unsheltered Breakdown, 2015 Π2020 . 7 FIGURE THREE: PIT Count 2015 Р2020, Sheltered and Unsheltered 8 Sleep Settings .. 9 FIGURE FOUR: Percent of Unsheltered Individuals by Sleep Setting . 9 County and City Data . 10 FIGURE FIVE: Unsheltered by County Region, 2018 Р2020 . 10 TABLE TWO: Number of Unsheltered Individuals by Contra Costa County Cities . 10 FIGURE SIX: Heat Map of Unsheltered Observations Identified During the PIT Count 11 PIT SU RVEY DATA 12 Household Type 12 FIGURE SEVEN: Household Type by Homelessness Status .. 12 FIGURE EIGHT: Household Type Identified in PIT 2015 Р2020 . 13 Demographics 14 FIGURE NINE: 2020 PIT Gender Distribution and Homeless Status . 14 FIGURE TEN: PIT 2020 Age Distribution . 15 FIGURE ELEVEN: Age by Shelter Status 15 FIGURE TWELVE: PIT Ethnicity, 2015 Р2020 .. 16 FIGURE THIRTEEN: PIT 2020 Race Distribution 17 FIGURE FOURTEEN: Race Distribution by Shelter Status . 17 FIGURE FIFTEEN: Race Distribution, 2015 Р2020 . 18 FIGURE SIXTEEN: PIT 2020 Race Distribution by Household Type . 19 FIGURE SEVENTEEN: Number of Veterans Identified in PIT, 2015 Π2020 . 20 Characteristics Related to Homeless Experience .. 21 FIGURE EIGHTEEN: Where Lost Housing . 21 FIGURE NINETEEN: P rimary Cause of Homelessness 21 FIGURE TWENTY: Age First Experienced Homelessness . 22 FIGURE TWENTY -ONE: Housing Options Would Accept if Available .. 22

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updated 8/1 2/20 2 Social Determinants of Health . 23 FIGU RE TWENTY -TWO: Leading Disabling Conditions .. 23 FIGURE TWENTY -THREE: Physical and Mental Health Ratings 24 FIGURE TWENTY -FOUR: Very Good/Good Physical and Mental Health by Shelter Status 24 FIGURE TWENTY -FIVE: Jail or Incarceration Among PIT Respondents 25 At-Risk the Night of the Count .. 26 Housing Inventory Count . 27 FIGURE TWENTY -SIX: Number of Beds by Project Type per HIC Count, 2020 . 27 FIGURE TWENTY -SEVEN: Housing Inventory Count, 2019 Π2020 . 28 FIGURE TWENTY -EIGHT: Number of Beds by Project Type and Household Type . 29 TABLE THREE: Bed Inventory for Sub -Populations by Program Type, 2020 HIC . 30 APPENDIX A : Emerge ncy Shelters and Transitional Housing Included in the 2020 PIT .. 31 APPENDIX B: Methodology .. 32 APPENDIX C : Survey 40 APPENDIX D : Acknowledgements . 44 APPE NDIX E : Definitions . 47

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updated 8/1 2/20 5 INTRODUCTION Every January, Contra Costa’s Homeless Continuum of Care (CoC), along with hundreds of communities across the nation, conduct s a comprehensive Point in Time (PIT) count of families and individuals experiencing homelessness across the County . With the help of partnering agencies and over one-hundred community volunteers, information is collected on families and individuals residing in emergency shelters, transitional housing, and places not meant for habitation, including but not limited to people sleeping in their vehicles, on the streets, tents and make -shift shelters, and abandoned buildings. Th e PIT count is intended to measure the prevalence of homelessness on any given night across the community and collect important information describing the history, challenges , and needs of this population . The data is then used for local , regional, and federal strategic planning, decision making, allocation of resources, and advocacy to prevent and end homelessness in Contra Costa County. While t he fed eral agency Housing and Urban Development (HUD) requires a biennial PIT count for all communities receiving federal funding for housing, crisis, and homeless services, Contra Costa County has been conducting annual PIT counts since 2013 to improve our unde rstanding of homelessness at the local level and support prioritization of vulnerable populations™ needs . Last year (FY2018/2019) , our CoC received approximately $15,185,985 dollars in federal funding in support of services for the homeless population. Ann ual PIT data is submitted to our federal partners at HUD and published publicly on our website: https://cchealth.org/h3/coc/reports.php#PIT . The Health, Housing, and Homeless Services Division (H3), positioned within Contra Costa County™s Health Services Department, developed and implemented the methodology for the 2020 PIT count . H3 partnered with the County Department of Information Technology to utilize innovative geo -locati on data collection applications to create resource efficiencies and ensure the accuracy and reliability of the PIT count data . Collaboration with the homeless outreach teams (Coordinated Outreach Referral and Engagement -CORE) , was also crucial for the deve lopment of appropriate

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updated 8/1 2/20 7 Count Trends 5-year Trend Analysis Contra Costa County has experienced modest changes in the sheltered and unsheltered population since 2015 (Table 1). Trends among the sheltered population have revealed no significant change in the number of people sheltered since 2015 (704 vs 707) , and an 18% increase among the unsheltered population (1 ,326 vs 1 ,570). 1-year Trend Analysis In more recent years, the county has experienced more subtle changes ; the 2020 PIT found a 1% decrease overall from 2019 to 2020 . Among the sheltered population, there was a 4% increase from 2019 to 2020 (668 vs 707) . Among the unsheltered population, there was a 1% decrease from 2019 to 2020 (Figure Two ). TABLE ONE : Sheltered, Unsheltered, and Total P IT Trends, 2015 – 2020 2015 2016 2017 2018 2019 2020 5-year % change Sheltered 704 620 696 697 668 707 <1%+ Unsheltered 1,326 1,110 911 1,537 1,627 1,570 18%+ Total 2,030 1,730 1,607 2,234 2,295 2,277 12%+ FIGURE TWO : Sheltered and Unsheltered Breakdown, 2015 Œ 2020 7046206966976687071,326 1,110 9111,537 1,627 1,570 0500100015002000201520162017201820192020Sheltered Unsheltered PAGE - 9 ============ updated 8/1 2/20 8 Every implementation of the PIT comes with changes (either due to weather, the partner agencies working on the PIT, or in 2020, a shift in methodology), thus making trend data often difficult to interpret without that necessary context. From 2016 to 2018 there were critical shifts i n the county™s outreach programming, with outreach efforts coming to a halt in 2016 and picking up again, with more robust and comprehensive county -wide outreach efforts to identify and support the unsheltered , after the 2017 PIT. This resulted in much low er numbers of unsheltered in 2016 and 2017 and a subsequent 69% one -year increase in the number of unsheltered in 2018 (Figure Three). While there were no major shifts in the number of people identified in the 2020 PIT, it is important to note a change in methodology in 2020 ( please see Appendix B for a detailed breakdown of 2020 methodology ). FIGURE THREE: PIT Count 2015 - 2020, Sheltered and Unsheltered 7047071,326 1,570 2,030 2,277 05001000150020002500201520162017201820192020Sheltered Unsheltered Total PAGE - 10 ============ updated 8/1 2/20 9 Sleep Settings Unsheltered Population Among the 1,570 unsheltered individuals , more than half (52%) slept in an encampment outside ( 34% of the unsheltered slept in a tent/make -shift shelter and another 18% slept on the street/sidewalk ), followed by 48% who slept in a vehicle o r structure ( 17% of those unsheltered slept in an RV, 15% in a car, and 5% in a van, Figure Four ). FIGURE FOUR : Percent o f Unsheltered Individuals by Sleep Setting Sheltered Population Contra Costa ™s County Continu um of Care (CoC) has multiple family and adult -only shelters and transitional housing across the county . There were 532 people in emergency shelter beds and 157 in transitional housing beds the night of the count. A list of shelters who were housing the sheltered population on the night of the PIT can be found in Appendix A. 34%18%17%15%5%5%4%2%1%Tent/make-shift shelter Street/sidewalk RVCar Van Missing Other Shed/garage/attic Abandoned building PAGE - 11 ============ updated 8/1 2/20 10 County and City Data Contra Costa County is commonly divided into West County, Central County, and East County regions . There were modest regional shifts in the number of unsheltered people sleeping in each region of the county from 2018 to 2020 . In 2020, there was an almost even split across the three regions (Figure Five ). FIGURE FIVE : Unsheltered b y County Region, 2018 - 2020 People were identified in 30 incorporated cities and unincorporated jurisdictions across the county during the PIT count. Antioch and Richmond each had 15% of the unsheltered population (n=238, n=280 ), Concord had 1 0% (n=160 ), Martinez had 8% (n=127), and Pittsburg had 6% ( n=102, Table Two). TABLE TWO : Number o f Unsheltered Individuals by Contra Costa County Cities West Co unty Central Co unty East Co unty Location # Location # Location # Crockett 35 Alamo 2 Antioch 238 El Cerrito 24 Blackhawk 6 Bay Point 49 El Sobrante 9 Clayton 2 Bayview 2 Hercules 7 Concord 160 Bethel Island 2 North Richmond 22 Danville 7 Brentwood 80 Pinole 7 Lafayette 3 Discovery Bay 2 Richmond 280 Martinez 127 Oakley 50 Rodeo 62 Moraga 4 Pittsburg 102 San Pablo 67 Orinda 1 Pacheco 26 Pleasant Hill 90 San Ramon 6 Walnut Creek 80 6124395435136785143805105130500 1000 2018 2019 2020 East Central West 166 KB – 50 Pages