Count 2020 2020 Count The 2020 Everybody Counts Point-in-Time Count - - PowerPoint PPT Presentation

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Count 2020 2020 Count The 2020 Everybody Counts Point-in-Time Count - - PowerPoint PPT Presentation

Point oint-in in-Time Time Count 2020 2020 Count The 2020 Everybody Counts Point-in-Time Count effort is one way the City of Spokane and Spokane County Continuum of Care strives to utilize data and knowledge for action, in order to improve the


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The 2020 Everybody Counts Point-in-Time Count effort is

  • ne way the City of Spokane and Spokane County

Continuum of Care strives to utilize data and knowledge for action, in order to improve the lives of our most vulnerable citizens throughout the region.

Point

  • int-in

in-Time Time Count Count 2020

2020

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HELLO!

This presentation is designed to share data collected during the 2020 Everybody Counts campaign’s Point-in-Time Count. This data provides a snapshot that captures the circumstances and situations of people experiencing homelessness in our region.

DATA KNOWLEDGE ACTION

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THE DATA

Understanding the landscape of homelessness throughout Spokane County.

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GENERAL INFORMATION ALL PEOPLE

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WHO WAS COUNTED

(All People)

People in HH with Adults and Children (Families), 363, 23% People in HH with Adults Only, 1171, 75% People in HH with Children Only, 25, 2%

1,559 PEOPLE

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SHELTER TYPE

(All People)

Emergency Shelter, 197, 54% Transitional Housing, 138, 38% Unsheltered, 28, 8%

People in Households with Adults and Children (Families)

Emergency Shelter, 593, 51% Transitional Housing, 73, 6% Unsheltered, 505, 43% Emergency Shelter, 9, 36% Transitional Housing, 8, 32% Unsheltered, 8, 32%

People in Households with Adults Only People in Households with Children Only

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TRENDS

(All People) 328 302 363 897 985 1171 20 22 25 2018 2019 2020

Total People in HH with Adults and Children Total People in HH with Adults Only Total People in HH with Children Only

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Female, 627, 40% Male, 914, 59% Transgender, 14, 1% Gender Non-Conforming, 4, 0% Under 18, 241, 15% 18 to 24, 133, 9% 25 and Over, 1185, 76%

DEMOGRAPHICS

(All People)

GENDER AGE

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SHELTER TYPE BY AGE

(All People)

125 48 626 93 39 87 23 46 472 100 200 300 400 500 600 700

17 and Under 18 to 24 25 and Over

Emergency Shelter Transitional Housing Unsheltered

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89% 2% 2% 2% 1% 4% 72% 7% 12% 1% 2% 8%

White Black or African American American Indian and Alaska Native Asian Native Hawaiian or Other Pacific Islander Multi-Racial

PIT Count Spokane County - 2010 Census

RACE

(All People)

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RACE

(All People)

215 38 46 2 19 43 879 64 137 7 11 73 21 1 1 1 1 100 200 300 400 500 600 700 800 900 1000

White Black or African American American Indian and Alaska Native Asian Native Hawaiian or Other Pacific Islander Multi-Racial HH w/Adults and Children HH w/Adults Only HH w/Children Only

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SHELTER TYPE BY RACE

(All People)

608 48 60 6 4 73 144 34 17 15 9 363 21 107 3 12 35 100 200 300 400 500 600 700

White Black or African American American Indian and Alaska Native Asian Native Hawaiian or Other Pacific Islander Multi-Racial

Emergency Shelter Transitional Housing Unsheltered

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Non-Hispanic/Non- Latino, 91% Hispanic/Latino, 9% Non-Hispanic/Non- Latino, 95% Hispanic/Latino, 5%

ETHNICITY

(All People)

SPOKANE COUNTY ALL PEOPLE EXPERIENCING HOMELESSNESS

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SHELTER TYPE BY ETHNICITY

(All People)

722 58 181 24 246 24 100 200 300 400 500 600 700 800 Non-Hispanic/Non-Latino Hispanic/Latino

Emergency Shelter Transitional Housing Unsheltered

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DEEPER DIVE

A look at sub-populations

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HOUSEHOLDS WITHOUT CHILDREN (Single Adults)

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SINGLE ADULTS

1,171 single adult men and women were counted, which represents a 19% increase from 2019

Emergency Shelter, 593, 51% Transitional Housing, 73, 6% Unsheltered, 505, 43%

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89% 2% 2% 2% 1% 4% 75% 5% 12% 1% 1% 6%

White Black or African American American Indian and Alaska Native Asian Native Hawaiian or Other Pacific Islander Multi-Racial

PIT Count Spokane County - 2010 Census

RACE

(Single Adults)

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TRENDS

(Single Adults) 552 613 593 51 77 73 294 295 505

2018 2019 2020

Emergency Shelter Transitional Housing Unsheltered

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HOUSEHOLDS WITH CHILDREN (Families)

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FAMILIES

363 people in families with minor children were counted, which represents a 21% increase from 2019

Emergency Shelter, 197, 54% Transitional Housing, 138, 38% Unsheltered, 28, 8%

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89% 2% 2% 2% 1% 4% 59% 10% 13% 1% 5% 12%

White Black or African American American Indian and Alaska Native Asian Native Hawaiian or Other Pacific Islander Multi-Racial

PIT Count Spokane County - 2010 Census

RACE

(Families)

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TRENDS

(Families) 168 154 197 145 129 138 15 19 28

2018 2019 2020

Emergency Shelter Transitional Housing Unsheltered

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YOUNG ADULTS (18 to 24-Years-Old)

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Female, 53, 48% Male, 51, 47% Transgender, 4, 4% Gender Non-Conforming, 1, 1%

DEMOGRAPHICS

(Young Adults)

GENDER

Emergency Shelter, 35, 32% Transitional Housing, 32, 29% Unsheltered, 42, 39%

SHELTER TYPE

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RACE

(Young Adults)

89% 2% 2% 2% 1% 4% 71% 6% 9% 1% 3% 11%

White Black or African American American Indian and Alaska Native Asian Native Hawaiian or Other Pacific Islander Multi-Racial

PIT Count Spokane County - 2010 Census

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Trends

(Young Adults)

20 40 60 80 100 120 2018 2019 2020

Young Adult (18-24)

34 30 35 15 19 32 32 33 42

2018 2019 2020

Emergency Shelter Transitional Housing Unsheltered

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UNACCOMPANIED MINORS (17 and under)

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Female, 8, 42% Male, 6, 32% Transgender, 3, 16% Gender Non-Conforming, 2, 10%

DEMOGRAPHICS

(17 and Under)

GENDER

Emergency Shelter, 9, 47% Transitional Housing, 2, 11% Unsheltered, 8, 42%

SHELTER TYPE

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RACE

(17 and Under)

89% 2% 2% 2% 1% 4% 79% 5% 5% 1% 5% 5%

White Black or African American American Indian and Alaska Native Asian Native Hawaiian or Other Pacific Islander Multi-Racial

PIT Count Spokane County - 2010 Census

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Trends

(17 and Under)

20 40 60 80 100 120 2018 2019 2020

Young Adult (18-24)

15 13 9 4 2 2 1 1 8

2018 2019 2020

Emergency Shelter Transitional Housing Unsheltered

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VETERANS

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VETERANS

143 veterans were counted, which represents a 68% increase from 2019

Veterans in Households with Adults and Children, 2, 1% Veterans in Households with Adults Only, 141, 99%

92%

HOUSEHOLD COMPOSITION

8%

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GENDER

(Veterans) 5 7 12 91 78 131

2018 2019 2020

Total Female Veterans Total Male Veterans

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SHELTER TYPE

(Veterans) 67 66 95 29 19 48

2018 2019 2020

Sheltered Unsheltered

Sheltered, 95, 66% Unsheltered, 48, 34%

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CHRONICALLY HOMELESS

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CHRONICALLY HOMELESS

485 chronically homeless were counted, which represents an 89% increase

from 2019

Sheltered, 218, 45% Unsheltered, 267, 55% Households with Adults Only , 462, 98% Households with Children Only, 2, 0% Households with Adults and Children (Families), 7, 2%

HOUSEHOLD COMPOSITION SHELTER TYPE

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TRENDS

(Chronic Homeless) 265 257 485

2018 2019 2020

Total Chronically Homeless

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PUBLIC HEALTH CHALLENGES

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OTHER POPULATIONS

529 adults counted reported experiencing serious mental illness 305 adults counted reported having a substance abuse condition 16 people counted reported living with HIV/AIDS or related illness 169 people counted reported being survivors of domestic violence

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SHELTER TYPE

(Other Populations)

Sheltered, 291, 55% Unsheltered, 238, 45% Sheltered, 160, 53% Unsheltered, 140, 47%

ADULTS WITH SERIOUS MENTAL ILLNESS ADULTS WITH A SUBSTANCE USE DISORDER

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SHELTER TYPE

(Other Populations)

Sheltered, 1, 6% Unsheltered, 15, 94% Sheltered, 95, 56% Unsheltered, 74, 44%

ADULTS WITH HIV/AIDS DOMESTIC VIOLENCE SURVIVORS

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TRENDS

(Other Populations) 307 315 529 184 159 305 14 8 16 121 125 169

2018 2019 2020

Severe Mental Illness Chronic Substance Abuse Living with HIV/AIDS Survivors of Domestic Violence

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SHELTERED HOMELESS

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TRENDS

(Sheltered Homeless) 735 780 799 200 214 219

2018 2019 2020

Emergency Shelter Transitional Housing

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UNSHELTERED HOMELESS

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UNSHELTERED LOCATIONS

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TRENDS – Total and CH

(Unsheltered Homeless) 310 315 541 105 84 266

2018 2019 2020

All People Experiencing Unsheltered Homelessness Unsheltered - Chronically Homeless

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TRENDS

(Unsheltered Homeless) 15 19 28 294 295 505 1 1 8

2018 2019 2020

Unsheltered in HH w/Children Unsheltered in HH w/o Children Unsheltered in HH w/only Children

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LAST PERMANENT RESIDENCE & REASONS FOR HOMELESSNESS

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LAST PERMANENTLY BY JURISDICTION

Coordinated Entry System

Spokane City/County 72% Other States 12% Other WA State 10% Idaho 6%

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PRIMARY REASON FOR HOMELESSNESS

Coordinated Entry

56 79 98 108 126 138 149 226 300 409 50 100 150 200 250 300 350 400 450

Incarceration Lost Job Mental Health Problems Moved Lack of Affordable Housing Drug Use Evicted Lack of Income Family Conflict Domestic Violence

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OTHER REASONS FOR HOMELESSNESS

Coordinated Entry

145 157 210 225 226 336 340 343 629 796 100 200 300 400 500 600 700 800 900

Incarceration Physical Disability Domestic Violence Moved Drug Use Family Conflict Mental Health Problems Lost Job Lack of Affordable Housing Lack of Income

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THE KNOWLEDGE

Point-in-Time Count data provides snapshot estimates used to inform collaborative solutions. It is combined with additional information to have a more comprehensive look at homelessness.

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UNDERSTANDING REPORTS

▫ The Point-in-Time Count serves a very specific purpose and is best suited

for looking at trends and understanding the landscape of homelessness

  • n a given night. It is not intended to be an exhaustive look at

homelessness.

▫ Other reports are utilized alongside the Point-in-Time Count to get a

deeper understanding of homelessness, including the episodic nature of homelessness.

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▫ The Longitudinal Systems Analysis (LSA) how housing is used, and who

uses it, are covered in the LSA.

▫ The System Performance Measures (SPM) accounts for system-level

performance for both HUD and non-HUD funded projects, across seven metrics.

▫ The Housing Inventory Chart (HIC) provides housing inventory, including

populations served and other descriptors, for the entire CoC.

▫ The Annual Performance Report (APR) is submitted for each CoC-funded

project, containing dozens of different metrics reflective of the project’s performance.

OTHER REPORTS

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▫ The Master Data Management (MDM) solution allows for multiple non-

CMIS based data streams (e.g. fire, police, criminal justice, etc.) to be combined to identify improvements to service delivery and project performance.

▫ The Homeless Management Information System (HMIS) has the ability to

create custom reports and/or queries to pull what data is needed. Anything that is entered can be pulled out in the form of a query.

OTHER REPORTS

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THE ACTION

The steps and actions being taken to address homelessness in the region.

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5-YEAR PLAN

▫ A coordinated regional plan created and led by the Continuum of Care

Board and advised by its Sub-Committees.

▫ Utilized expertise of stakeholders, people with lived homeless experience,

homeless service providers, and system leaders.

▫ Took place over a year, including meetings, public presentations, and

focused engagement.

▫ Outlines strategies and targets to improve the system capacity to move

people experiencing homelessness into safe, secure, and permanent housing and ensure homelessness is rare, brief, and non-recurring.

▫ Approved in November 2019 and submitted to the Department of

Commerce in early December.

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5-YEAR PLAN

▫ Objective 1: Quickly identify and engage people experiencing

homelessness.

▫ Objective 2: Prioritization of homeless housing for people with the

highest needs.

▫ Objective 3: Effective and efficient homeless crisis response housing and

services that swiftly moves people into stable, permanent housing.

▫ Objective 4: A projection of the impact of the fully implemented plan on

the number of households housed and the number of households left unsheltered, assuming existing resources and state policies.

▫ Objective 5: Address racial disparities among people experiencing

homelessness.

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▫ Strengthen relationships with regional partners to better leverage our community’s

resources (e.g. EWU, BHT, justice)

1)

Example: enhance client input via survey tools

2)

Example: Collectively review reporting methodologies to ensure the collective input of our Continuum of Care and community is reflected

▫ Continue developing our Community Management Information System (CMIS)

database to incorporate “non-traditional” service providers to ensure that we’re getting as “upstream” as possible when providing prevention and diversion services (Zone Project)

▫ Finalize plans to provide “real time” data in the form of public facing dashboards

reflective of key performance metrics and provide background and education on the homeless services infrastructure

ACCESS TO INFORMATION

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THANK YOU

For questions, please contact: spokanechhs@spokanecity.org

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