POINT TIME HOMELESS S COUNT REPORTdpss.co.riverside.ca.us/files/pdf/homeless/2017-rivco...Page | 3...
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Riverside C
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Riverside County DPSS ASD HPU 2017 Point-In-Time Homeless Count Report
1. Acknowledgements ............................................................................................................... 3 2. Executive Summary ............................................................................................................... 11 3. Introduction .......................................................................................................................... 14 4. Methodology ......................................................................................................................... 15
a. Overview .................................................................................................................. 15 b. City Engagement ...................................................................................................... 16 c. Survey Development ................................................................................................ 17 d. Data Entry & Deduplication Method ....................................................................... 18 e. Volunteer Recruitment ............................................................................................ 20 f. Unsheltered Homeless Count .................................................................................. 20
i. Street‐Based Count ..................................................................................... 20 ii. Service‐Based Count ................................................................................... 21 iii. Behavioral Health Outreach Count ............................................................. 21 iv. Follow‐up Count During Seven Day Window .............................................. 22 v. Youth Count ................................................................................................ 22
g. Sheltered Homeless Count ...................................................................................... 23 5. Unsheltered Homeless Count Findings ................................................................................. 24
a. Overall by City & Type of Data ................................................................................. 24 b. Reasons Contributing to Homelessness .................................................................. 26 c. Overall by Gender .................................................................................................... 26 d. Overall by Race and Ethnicity .................................................................................. 27 e. Overall by Age .......................................................................................................... 30 f. Overall by Veterans .................................................................................................. 31 g. Overall by Youth ....................................................................................................... 31 h. Overall by Subpopulations ....................................................................................... 32 i. Subpopulations Disabling Conditions Preventing Housing ...................................... 34 j. Subpopulation Data by City ..................................................................................... 35
6. Sheltered Homeless Count Findings ..................................................................................... 37 a. Overall by Housing Type .......................................................................................... 37 b. Subpopulations ........................................................................................................ 37
7. Conclusion ............................................................................................................................. 38 8. Challenges, Limitations, & Recommendations ..................................................................... 39 9. Appendix A: Survey Instruments .......................................................................................... 41
a. Traditional PIT Count Survey Tool (Interview & Observational combined) ............. 42 b. Youth PIT Count Survey Interview Tool ................................................................... 44 c. Youth PIT Count Survey Observational Tool ............................................................ 47
10. Appendix B: City Summary Tables ....................................................................................... 48 11. Appendix C: County Summary Tables .................................................................................. 77 12. Appendix D: Misconceptions about PIT Counts ................................................................... 94 13. Appendix E: HUD Youth Homeless Definition ...................................................................... 96
TABLE OF CONTENTS
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The County of Riverside Department of Public Social Services (DPSS) Director, Susan von Zabern, and
Assistant Director, Lisa Shiner, along with the 2017 Point‐In‐Time Homeless Count (PIT Count) Planning
Team would like to thank all of the individuals and agencies who contributed their time, money, staff,
and effort toward this important event. Coordinating the PIT Count is a massive undertaking. We would
not have been able to conduct this count and survey without the participation of many community‐
based organizations and agencies.
We extend our sincerest appreciation to our public volunteers and the agencies that allowed their staff
to volunteer for the PIT Count:
ABC Recovery Center All Saints Episcopal Church Atrium Sober Living Banning Family Community Health Center Banning Police Department Banning Wellness City – RI International Barton CPA Beaumont Police Department Be Remarkable Today Bridge Church California Baptist University California Children's Services California Rural Legal Assistance California State University, San Bernardino Calimesa Code Enforcement Calvary Murrieta Church Calvary Presbyterian Church Catholic Charities Church of Jesus Christ Latter Day Saints City of Banning City of Beaumont City of Blythe City of Calimesa City of Cathedral City City of Coachella City of Corona City of Desert Hot Springs City of Eastvale City of Hemet City of Hemet Parks and Recreation City of Indian Wells City of Indio City of Jurupa Valley
City of Lake Elsinore City of La Quinta City of Menifee City of Moreno Valley City of Murrieta City of Norco City of Palm Desert City of Palm Springs City of Perris City of Rancho Mirage City of Riverside City of San Jacinto City of Temecula City of Wildomar Coachella Valley Assoc. of Governments (CVAG) Coachella Valley Economic Partnership Coachella Valley Rescue Mission Coachella Police Department Commission on Disabilities, Inland Regional Center Common Good Community Development Community Access Center Community Action Partnership Riverside County Community Good Deeds Nonprofit Organization Community of Mecca Community Mission of Hope Community of Reformed Evangelical Churches Community Resource and Educational Center Congregational Church of Menifee Corona Code Enforcement Corona Fire Safety Foundation Corona Police Department Corona Settlement House
ACKNOWLEDGEMENTS
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Corona Vet Center Courage Campaign Create a Bright Life Crime Watch Desert Arc Desert Best Friend's Closet Desert Hot Springs Family Resource Center Desert Hot Springs Neighborhood Group Dios Vive Dominium Down Syndrome Association of Inland Empire Eastvale Bible Church Eye of a Needle Foundation First Presbyterian Church of Hemet Foothill AIDS Project GIA Community Outreach Good Works Movement Gregory Barton & Associates Green Coalition of San Jacinto Valley GUMBO First Baptist Church of Riverside Habitat for Humanity Inland Valley Harmony Kitchen Harvest Church HD Supply White Cap Health to Hope Clinics Healthy Jurupa Helping Hands Group Hemet Code Enforcement Hemet Community Pantry Hemet Library Hemet Police Department Hemet/San Jacinto United for Change Hemet Unified School District Homeless Task Force Sub‐Committee Hope Lutheran Church Human Rights Commission Idyllwild HELP Center Indio Police Department Jewish Family Service of the Desert Joe Gray’s Plumbing Journey TAY Program Jubilee Sober‐Living Homes Jurupa Valley Code Enforcement Jurupa Valley Safety Committee JustServe.org La Quinta Police Department La Sierra University La Sierra University Church
Lake Menifee Women’s Club Larios LDS Church Lesbian Gay Center Life in His Hands Lifeline Street Ministry LightHouse Social Service Centers LLLeindecker & Associates Loma Linda Veteran Affairs Hospital Love and Loyalty Lutheran Social Services Magnolia Presbyterian Church Manzanita Ranch Martha’s Village & Kitchen Mecca Family & Farmworkers Service Center Mecca Family Resource Center Men and Women Ministry on the Move Menifee Buzz Newspaper Menifee Valley Chamber of Commerce Menifee Valley Community Cupboard Menifee Crime Watch Menifee Kay Ceniceros Senior Center Menifee Police Department Menifee Union School District Menifee Valley Community Church Mission Outreach Project Monteleone Meadows Moreno Valley College Moreno Valley Police Department My Butterfly House National Alliance for Women National Alliance on Mental Illness Norco Community College ONE‐PS Operation SafeHouse Osher Lifelong Learning Institute Palm Springs Homeless Task Force Palm Springs Human Rights Commission Palm Springs Police Department Palm Springs Public Library Palm Springs Rotary Club Palm Springs Unified School District Path of Life Ministries Peace Lutheran Church Perris Code Enforcement Perris Police Department Power Speaks Louder Press Enterprise
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Project Riley Provident Bank PW Enhancement Center Reaching New Heights Foundation Realty One Group ResCare Workforce Services Riverside County Registrar of Voters RI International/ NAMI Signature Programs Riverside Access Center Riverside City College Riverside Univ. Health Sys. Behavioral Health Riverside County Code Enforcement Riverside County Dept. of Animal Services Riverside County Dept. of Child Support Services Riverside County Dept. of Public Health Riverside County Dept. of Public Social Services Riverside County Dept. of Veterans Services Riverside County Economic Dev. Agency Riverside County District Attorney's Office Riverside County Emergency Mgmt. Dept. Riverside County Executive Office Riverside County Flood Control Riverside County Habitat Conservation Agency Riverside County Health Administration Riverside County Housing Authority Riverside County Human Resources Riverside County Probation Dept. Riverside County Sheriff’s Dept. Riverside County Supervisor Chuck Washington Riverside County Supervisor John J. Benoit Riverside County Supervisor John F. Tavaglione Riverside County Supervisor Kevin Jeffries Riverside County Supervisor Marion Ashley Riverside County TMLA Harmony Kitchen San Bernardino County San Jacinto Code Enforcement San Jacinto Police Dept. Santa Ana Ministry Group Santa Ana Watershed Project Authority
Seams of Gold SEIU 721 Seller & Keever Foundation Senior Advocates of the Desert Serve‐One, Inc. Southwest County Detention Center Speak Life StarWriter Enterprises St. Carries Center St. Catherine’s of Alexandria St. Thomas Church State of California’s Employment Dev. Dept. Step Up On Second Sunrise Christian Fellowship Sunrise Park Neighborhood Assoc. Palm Springs Temecula Community Pantry Temecula Police Department Temecula Rotary Club Temecula Valley Atheists Temecula Veterans Center The Gathering Church The Grove Community Church The Hole In Wall, Inc. The Well in the Desert United Church of God University of California Riverside University of Phoenix U.S. Dept. of Housing and Urban Dev. U.S. Vets VA Loma Linda Healthcare System Val Verde Unified School District Valley Restart Shelter VCC Vista Community Clinic Lake Elsinore Veterans Community Services Veterans of Foreign Wars VitalCare America Western Riverside Council of Gov. (WRCOG) Women’s Veterans Unity Group 2YouMusic
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Youth Count Volunteer Organizations
California Family Life Center ‐ Rubidoux YOC
California Family Life Center ‐ Empower Youth
City of Menifee
City of Murrieta
City of Temecula
City of Riverside
County of Riverside Dept. of Public Social Srvcs.
Oasis Community Services
Operation SafeHouse of the Desert
Operation SafeHouse Riverside
Operation SafeHouse Riverside ‐ Cup of Happy
Power Speaks Louder
Riverside University Health Systems ‐ Behavioral
Health TAY Journey Program
Romoland School District
Safe Schools Desert Cities
Victor Community Support Services
We would also like to thank all the following cities and agencies who permitted City Leaders, Law
Enforcement Leaders and Site Coordinators to promote, develop, and coordinate the street‐based count
in their respective areas and to use their facilities as Deployment Centers. Deployment Centers were
used as a place for volunteers to gather, receive instructions, safety reminders, supplies, incentives,
maps, and team assignments:
City/Community Key Leader(s) Deployment Site
CITIES
Banning
Debbie Franklin City of Banning
Police Chief Alex Diaz Banning Police Department
Banning Police Department
Beaumont
Sergeant George Walter Beaumont Police Department Deputy Michael Granada
Beaumont Police Department
Beaumont Police Department
Blythe
Barbara Burrow City of Blythe
Blythe City Hall
Calimesa
Sergeant Richard Beatty Riverside County Sheriff’s Department
Deputy Jacob Jenson Riverside County Sheriff’s Department
Riverside County Sheriff’s Cabazon Station
Cathedral City
Deputy Dwayne Hodges Cathedral City Police Department
Cathedral City Police Station
Coachella
Alex Alarcon City of Coachella
Sergeant Robert Castro Riverside County Sheriff’s Department
Coachella City Hall
Corona
Lieutenant Mark Johnson Deputy Jon Rosenblum
Corona Police Department
Corona Police Department
Desert Hot Springs
Joe McKee Desert Hot Springs City Councilman
DHS Family Resource Center
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City/Community Key Leader(s) Deployment Site
Eastvale
Deputy Steve Lycopolus Riverside County Sheriff’s Department
Riverside County Sheriff’s Jurupa Valley Station
Hemet
Carla Callahan City of Hemet Susan Larkin Valley Restart
Lieutenant Eric Dickson Hemet Police Department Sergeant Dan Reinbolt
Hemet Police Department Detective A. Paez
Hemet Police Department Chief Dave Brown
Hemet Police Department
Valley Wide Recreation Community Center
Indian Wells
David Gassaway City of Indian Wells
Indian Wells City Hall
Indio
Christie Curtis Martha’s Village & Kitchen
Jesus Gomez City of Indio
Deputy Jose Ibarra Indio Police Department Deputy Brandon Haworth Indio Police Department
Martha’s Village & Kitchen
Jurupa Valley
Deputy Steve Lycopolus Riverside County Sheriff’s Department
Riverside County Sheriff’s Jurupa Valley Station
La Quinta Deputy Arnoldo Iniguez
Riverside County Sheriff’s Department Sam’s Club, Palm Desert
Lake Elsinore (including Lakeland Village)
Audrey Young City of Lake Elsinore
Nicole Dailey City of Lake Elsinore
Deputy Alejandro Salcedo Riverside County Sheriff’s Department
Deputy Kevin Whitford Riverside County Sheriff’s Department
Riverside County Sheriff’s Lake Elsinore Station
Mecca Maria Machuca
Department of Public Social Services Mecca Family Resource Center
Menifee
Jason Hendrix City of Menifee
Deputy Karla Girard Riverside County Sheriff’s Department
Deputy Robert Wilson Riverside County Sheriff’s Department
Kay Ceniceros Senior Center
Moreno Valley
Isa Rojas City of Moreno Valley
Moreno Valley City Hall
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City/Community Key Leader(s) Deployment Site
Mark Houck Lighthouse Social Services Centers
Corporal Dave Clark Riverside County Sheriff’s Department
Murrieta
Brian Ambrose City of Murrieta
Temecula Community Center
Norco
Deputy Steve Lycopolus Riverside County Sheriff’s Department
Deputy Arturo Mendez Riverside County Sheriff’s Department
Riverside County Sheriff’s Jurupa Valley Station
Palm Desert
Amy Lawrence City of Palm Desert
Palm Desert City Hall
Palm Springs
Dale Cook City of Palm Springs
Palm Springs City Hall
Perris
Kristii MacEwen Path of Life Ministries Deputy James Updike
Riverside County Sheriff’s Department
Perris Police Department
Rancho Mirage
Britt Wilson City of Rancho Mirage
Rancho Mirage City Hall
Riverside
Monica Sapien City of Riverside Access Center
City of Riverside Access Center St. Michael's Episcopal Church
San Jacinto
Renee Yarnall City of San Jacinto
Sergeant Robert Himmelberg Riverside County Sheriff’s Department
Valley Wide Recreation Community Center
Temecula
Robin Gilliland City of Temecula
Deputy Todd Johnson Riverside County Sheriff’s Department
Deputy Jeret McClellan Riverside County Sheriff’s Department
Temecula Community Center
Wildomar
Keith Ross City of Wildomar
Wildomar City Hall
COUNTY AREAS
Cabazon RSO Station Area
Sergeant Richard Beatty Riverside County Sheriff’s Department
Deputy Jacob Jenson Riverside County Sheriff’s Department
Riverside County Sheriff’s Cabazon Station
Colorado River RSO Station Area
Sergeant Tom Velarde Riverside County Sheriff’s Department
Deputy Joe Aguilar Riverside County Sheriff’s Department
Riverside County Sheriff’s Colorado River Station
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City/Community Key Leader(s) Deployment Site
Hemet (County) RSO Station Area
Deputy Frank James Riverside County Sheriff’s Department
Deputy Marc Searl Riverside County Sheriff’s Department
Valley Wide Recreation Community Center
Jurupa Valley (County) RSO Station Area
Deputy Steve Lycopolus Riverside County Sheriff’s Department
Deputy Aaron Avila Riverside County Sheriff’s Department
Deputy Bridgette Recksiek Riverside County Sheriff’s Department
Riverside County Sheriff’s Jurupa Valley Station
Lake Elsinore (County) RSO Station Area
Deputy Alejandro Salcedo Riverside County Sheriff’s Department
Deputy Kevin Whitford Riverside County Sheriff’s Department
Riverside County Sheriff’s Lake Elsinore Station
Palm Desert (County) RSO Station Area
Sergeant Zamora Riverside County Sheriff’s Department
Deputy Mike Troyer Riverside County Sheriff’s Department
Deputy Roberto Loza Riverside County Sheriff’s Department
Riverside County Sheriff’s Palm Desert Station
Southwest RSO Station Area
Deputy Todd Johnson Riverside County Sheriff’s Department
Deputy Jeret McClellan Riverside County Sheriff’s Department
Temecula Community Center
Thermal RSO Station Area
Sergeant Robert Castro Riverside County Sheriff’s Department
Sergeant John Gaw Riverside County Sheriff’s Department
Deputy Arnoldo Iniguez Riverside County Sheriff’s Department
Deputy Maggie Lopez Riverside County Sheriff’s Department
Sam Club, Palm Desert
We also would like to provide a special acknowledgement to Riverside Sheriff’s Department Chief Jason
Horton and Jurupa Valley Station’s Lieutenant Robert Spivacke and the Riverside County Sheriff’s
Homeless Outreach Team, Deputy Aaron Avila and Deputy Bridgette Recksiek, for their leadership,
partnership and contributions for coordinating and providing technical support to the Riverside Sheriff’s
Homeless Liaisons and other police department liaisons during the planning phase preceding the
Count.
Thank you to all city leaders for working to increase public awareness about the Riverside County PIT
Homeless Count. We express our deep gratitude to the individuals and organizations who donated
money, personal care items, and services to the county‐wide PIT Homeless Count, including, but not
limited to:
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Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
HomeAid Inland Empire Sage Dentistry
Valley Restart Power Speaks Louder
Starbucks McDonalds Restaurants (Shalhoub Family)
Menifee Valley Community Cupboard San Gorgonio Girl Scout Troop 176
San Gorgonio Girl Scout Troup 284
Anna Hause Elementary School, Beaumont, CA ‐ Early Act Club & Friday Night Live Kids Club
These generous donations contributed to 2,200 incentive bags which included a pair of socks, a bar of
soap, a resource card, a knit cap, a pair of gloves and additional incentives targeted to unaccompanied
youth. These incentive bags were given to homeless individuals who completed our survey during the
unsheltered street‐based and service‐based counts on January 24, 2017.
Finally, we would like to thank: Members of the Continuum of Care (CoC) for their insightful comments
and feedback regarding the preliminary PIT Count data; The Institute for Urban Initiatives for serving as
an ad hoc consultant throughout the PIT Count process; Riverside County Information Technology for
their incredible turnaround time generating maps that were distributed to volunteers during the PIT
street‐based count; and Riverside County DPSS Purchasing Department for quickly processing all PIT
Count‐related purchase requests.
The 2017 PIT Count was planned, coordinated and implemented by the Riverside County DPSS, Adult
Services Division, Homeless Programs Unit.
The County of Riverside, Department of Public Social Services
Adult Services Division – Homeless Programs Unit PIT Count Planning Team
Joshua Coda Rowena Concepcion Erika Gonzalez
Administrative Services Assistant Administrative Services Officer Office Assistant II (TAP)
Elizabeth Hernandez Donyielle Holley Jill Kowalski
Program Specialist II Social Service Planner Administrative Services Manager II
Patricia McMicheaux Tiffany Nelson Evelyn Pham Administrative Services Analyst II Administrative Services Assistant Office Assistant III
Veronica Ramirez Linda Salas George Solis
Administrative Services Assistant Program Specialist II Administrative Services Analyst II
Tammy Trinh Ryoko Yamasaki Amie St. Criox
UCR Intern Administrative Services Analyst II Secretary II (ASD)
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In 2017, following HUD’s new requirements to have a separate youth count, efforts to obtain a more accurate count of youth ages 24 and under that are experiencing homelessness were increased. Youth friendly partners were invited to assist in implementing the youth count. These partners included: youth opportunity centers, transitional age youth programs, youth emergency shelters, city leaders, and other public, private, and non‐profit agencies focused on the goal to end homelessness for youth. The knowledge and experience that each collaborative partner brought to the table helped us better identify homeless youth during both the traditional and the youth counts. By having youth friendly volunteers, youth experiencing homelessness were more willing to participate in the PIT Survey. The total 2017 count for youth ages 24 and under is 193 (interview and observational); a 103% increase from last year’s count. This increase is likely due to an increased collaboration and focus on youth experiencing homelessness.
For the 2017 Point in Time Count, there was a targeted countywide effort to significantly increase city engagement activities and the participation of law enforcement agencies working on the frontlines to end homelessness. This enhanced partnership included the Riverside County Sheriff’s Department, various City Police Departments, Riverside County and City Code Enforcement agencies, Riverside County Probation Department, DPSS Homeless Programs Unit, Housing Authority of the County of Riverside, The Riverside University Health System – Behavioral Health (formerly Department of Mental Health), the U.S. Department of Veterans’ Affairs (VA), Loma Linda Medical Center, and other key nonprofit housing providers. These coordination efforts helped to improve planning activities through the pre‐canvassing of communities to identify more accurate homeless locations. There was also an increased commitment from community partners to conduct a more accurate count by conducting follow up counts during the seven day window following the PIT Count date.
Riverside County was under a severe thunderstorm warning by the National Weather Service in the weeks and days leading up to the PIT Count. In addition, the region received amounts of rain that were record‐breaking in the days before the PIT Count, including the day before. As the majority of Riverside County’s unsheltered homeless population resides in unsheltered settings, a partnership with first responders to raise awareness for the PIT Count and to promote the outreach services for homeless veterans, youth and families taking place on the day of the Count had a significant impact. This message was layered onto an existing safety advisory initiated by first responders to warn homeless individuals of the dangers of residing in riverbeds, flood control channels and areas prone to mudslides during thunderstorms. This countywide effort between partnering county agencies helped to:
Raise awareness and educate the homeless population of the benefits of participating in the Count;
Educate the most service‐resistant individuals residing in hard to reach areas; and
Reinforce a common purpose to bring homeless individuals out of the shadows and promote a common message not to fear law enforcement personnel escorting PIT Count volunteers into encampments.
Homeless individuals that heeded the law enforcement/emergency management warning either
sought shelter in drier areas or felt safe to participate in the survey, thus increasing the number of
individuals surveyed during the entire PIT Count.
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Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
During the 2017 PIT Count, there was a 65% (201) increase in the number of observational surveys utilized compared to 2016. The U.S. Department of Housing and Urban Development (HUD) makes provisions for using an observational survey instead of an interview survey in the following situations:
PIT Count volunteer is unable to enter the location to conduct a survey.
PIT Count volunteer cannot conduct a survey (person refused to answer questions, language or other issues).
PIT Count volunteer does not wish to disturb people who are sleeping.
However, due to the limited amount of information collected on the observational survey and the
fact that it includes the volunteer’s perspective as opposed to the homeless individual’s response,
it makes the deduplication process challenging. Even though every effort is made to remove
duplicates, there is no guarantee that some of the individuals observed may or may not have been
interviewed at another time during the PIT Count.
Riverside County’s Department of Public Social Services (DPSS), in partnership with the County of
Riverside Continuum of Care continues to explore new and innovative strategies for conducting a
successful PIT Count in 2017 and beyond.
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The Point‐In‐Time (PIT) Homeless Count is a count and survey of Riverside County’s sheltered and
unsheltered homeless population. Riverside County’s Department of Public Social Services (DPSS), in
partnership with County of Riverside Continuum of Care, is required to conduct this biennial count
during the last 10 days in January. The Continuum of Care (CoC) is a network of private‐ and public‐
sector homeless service providers, designed to promote community‐wide planning and the strategic
use of resources to address homelessness.
The PIT Count is federally‐mandated by the U.S. Department of Housing and Urban Development (HUD)
to count and survey the homeless population in cities and counties throughout the nation, including
Riverside County. Each count is planned, coordinated, and carried out locally. Data collected during the
Count reflects a snapshot of Riverside County’s homeless population at one particular point‐in‐time and
is required in order to: continue receiving federal funding for homeless assistance programs, develop
strategies to end homelessness, help homeless individuals and families who are in need, and produce a
full report to HUD regarding the homeless individuals in Riverside County. In 2016, Riverside City and
County received a total of $9.9 million by HUD for the Continuum of Care Program for homeless
programs and services.
HUD defines a person who is homeless as: (a) living in a place not designed or ordinarily used as a
regular sleeping accommodation for humans (i.e., abandoned buildings, cars, parks, under bridges, bus
stops, etc.); and (b) living in emergency shelters and transitional housing projects1. It is important to
note that HUD’s definition does not include households that are below the poverty line or those
individuals that are near‐homeless. In addition, HUD identifies people to exclude from the count2:
(a) Persons counted in any location not listed on the CoC’s Housing Inventory Count (HIC);
(b) Persons residing in permanent housing (PH) programs, including persons housed using HUD
Veterans Affairs Supportive Housing (VASH) vouchers;
(c) Persons temporarily staying with family or friends (i.e., “doubled‐up” or “couch surfing”);
(d) Persons residing in housing they rent or own (i.e., permanent housing), including persons
residing in rental housing with assistance from a RRH project on the night of the count; and
(e) Persons residing in institutions (e.g., jails, juvenile correction facilities, foster care, hospital
beds, detox centers).
1 2014 Point-In-Time HUD Methodology Guide, p. 4 2 2014 Point-In-Time HUD Methodology Guide, p. 30
INTRODUCTION
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Overview
The 2017 Point‐In‐Time (PIT) Homeless Count unsheltered methodology consisted of the following
primary components:
a) Street‐based count on January 24, 2017 between 5:30 a.m. to 9:30 a.m. b) Service‐based count on January 24, 2017 between 7:00 a.m. to 2:00 p.m. c) Riverside University Health System ‐ Behavioral Health (RUHS‐BH) Homeless Outreach between
January 24, 2017 – January 30, 2017 (seven‐day period of time to cover unincorporated areas and perform a sweep of city areas to count and survey homeless individuals missed on January 24, 2017.)
d) Follow‐up Count and Survey during the seven day post‐count window (City and County staff, volunteers and Riverside County Sheriff’s deputies (seven day period between January 24, 2017 – January 30, 2017 to count and survey homeless individuals in cities and unincorporated areas missed on January 24, 2017.)
e) Unaccompanied Youth (age 24 or under) street‐based and service‐based counts between January 24, 2017 – January 30, 2017 (seven‐day period of time to cover targeted unaccompanied youth homeless locations.)
The 2017 PIT Count unsheltered methodology was similar to the 2016 PIT Count unsheltered
methodology, with the exception of the HUD mandated separate Youth Count conducted in 2017.
Although a separate Youth Count was not conducted in 2016, youth were identified and counted
during the street‐based, service‐based, and sheltered counts. See Table 1 below for a comparison of PIT
Count methodology.
METHODOLOGY
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Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Table 1: Comparison of PIT Count Unsheltered Methodology
2016 2017
Street‐based count Street‐based count
Service‐based count Service‐based count
Riverside University Health System ‐ Behavioral Health Homeless Outreach (seven‐day period of time to cover the
unincorporated areas and perform sweep of cities to count and survey missed people)
Riverside University Health System – Behavioral Health Homeless Outreach (seven‐day period of time to cover the
unincorporated areas and perform sweep of cities to count and survey missed people)
Follow‐up Count and Survey during the seven day post‐count window (City and County
staff, volunteers and Riverside County Sheriff officers (seven day period between January 24, 2017 – January 30, 2017 to count and survey homeless individuals in cities and
unincorporated areas missed on January 24, 2017.) This was due to the unprecedented rainstorms in the region prior to the Count.
Youth Count (seven day period to cover targeted homeless unaccompanied youth
locations)
Subsequent sections will further compare the 2016 and 2017 PIT Count unsheltered methodologies. In
both 2016 and 2017, specific attention was given to city engagement and survey development as
opportunities to increase the accuracy of the PIT Count.
City Engagement
The methods of city engagement used in 2017 paralleled the methods used in 2016. DPSS made efforts
to engage city leaders, law enforcement personnel, and establish deployment centers in each city. A
thorough list of unincorporated communities was incorporated into the street‐based count. City
leaders who requested further assistance were assigned a DPSS Site Coordinator to support PIT Count
activities on the day of the PIT Count. These DPSS Site Coordinators worked in tandem with city
leaders. Their role was primarily to assist the city leaders who were in charge at each deployment
center during the street‐based count. It is important to note that some city leaders elected not to use a
DPSS Site Coordinator as they felt confident with their abilities and available resources to conduct the
count. See Table 2 below for a comparison of city engagement.
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Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Table 2: Comparison of City Engagement
City Engagement
2016 2017
27 out of 28 cities participated in the Count and had deployment centers in the city or a
neighboring city
27 out of 28 cities participated in the Count and had deployment centers in the city or a
neighboring city
Did NOT designate red zones, but rather attempted to engage every city
Did NOT designate red zones, but rather attempted to engage every city
Included 53 census designated places (unincorporated areas)
Included 53 census designated places (unincorporated areas)
20% of the deployment centers had an assigned DPSS Site Coordinator
30% of the deployment centers had an assigned DPSS Site Coordinator
Survey Development
Interview Survey Tools
The survey that was selected for implementation was a slightly modified version of the 2016 Count and
Survey tool based on the feedback from volunteers to improve the previous version. The survey was
pilot tested to assess whether prospective volunteers knew how to navigate the survey tool
comfortably and whether prospective interviewees clearly understood the questions that were asked.
In 2017, an additional interview survey was developed for the Youth Count. The Youth Interview
Survey incorporates most of the information included on the traditional PIT Count Survey and
additional questions targeted specifically to homeless youth.
A total of 40 people piloted the survey tools including: DPSS Adult Services Division Administration
staff, community members, and sheltered homeless individuals. In addition, general survey feedback
was given by the RUHS‐BH. The version that received the most positive feedback was selected for
interviewing homeless individuals during the street‐based count and the service‐based count.
Observational Survey Tools
The primary goal for the PIT Count was to interview each homeless person. However, it was understood
interviewing was not feasible under certain circumstances. Thus, an observational survey tool was
developed to allow interviewers to record observational data (perceived gender, ethnicity, age,
physical description, etc.) for individuals encountered during the street‐based count who were
suspected to be homeless and were unable or unwilling to be engaged. This observational technique is
acceptable according to HUD guidelines3.
3 2014 Point-In-Time HUD Methodology Guide, p. 52
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Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
The following are reasons that volunteers used an observational tool:
there were barriers to enter the site
the site was unsafe to enter
the person refused to participate
the person was sleeping
there was a language barrier
the person was unable to respond (i.e., mental issues, intoxication, etc.)
This observational tool was used during the general PIT street‐based count. In 2017, an additional
observational survey was developed for the Youth Count. The youth observational survey tool
incorporates most of the information included on the traditional PIT Count survey tool along with
additional questions targeted specifically toward homeless youth.
Data Entry and Deduplication Method
A Microsoft Access application was created in order to consolidate and store the unsheltered homeless
count survey data. Separate applications were created for the street‐based interview surveys and
street‐based observational surveys. Five data entry volunteers entered this unsheltered homeless data
into the Microsoft Access application during the month of February.
Since the 2017 PIT Count involved both street‐based and service‐based counts, a deduplication method
was implemented to account for any individuals who may have been interviewed multiple times. The
deduplication method for the interview surveys consisted of creating a unique identifier using several
fields of information from the survey, such as: first initial, last initial, birth month, birth year, city born,
state born, gender, race, and veteran status. The deduplication method for the observational surveys
used the following fields to create a unique identifier: reason for observational tool, type of location,
age observed, perceived gender, and perceived race. The creation of the unique identifier was
conducted in a statistical database program (Microsoft Access), using an algorithm with the identified
demographic information to generate a unique ID for each individual counted. This process allowed
data analysts to easily identify and eliminate duplicate records.
Table 3 below shows that the total number of street‐based (interview and observational tools) and
service‐based interview surveys returned to DPSS was 1,892 (1,149 interview, 222 youth surveys, 521
observational). During the data entry process, several survey errors were discovered.
Surveys were rejected prior to data entry for the following reasons: (a) the survey was completely blank
except for interviewer name and location; (b) the homeless individual indicated that they stayed in a
place the night before that was not considered unsheltered according to HUD (house, apartment,
emergency shelter, motel, etc.); or (c) the homeless individual indicated they had already been
surveyed. There were 242 surveys that were rejected prior to being entered into the database. These
criteria resulted in a new subtotal of 1,650 surveys. The PIT Count’s analytic rationale was to include all
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Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
records until there was clarity and certainty that they should be excluded. Once all data was entered
and the deduplication method implemented, twelve surveys were rejected as duplicates, resulting in a
final sample size of 1,638 individuals. See Table 3 below for the numeric breakdown and filtering
process.
Table 3: Breakdown of PIT Count Surveys – Data Cleaning and Deduplication
Total Surveys
Returned
Rejected Surveys
(Not Entered)
New Sub Total
Rejected Surveys
(Duplicates)
Final Sample Size
(total number of
people)
1,892 (1,149
interview, 222
youth surveys, 521
observational)
242 (91 interview,
140 youth, 11
observational)
1650 (1058
interview, 82 youth
surveys, 510
observational)
12 (8 interview, 4
youth, 0
observational)
1638 (1050
interview, 78 youth
surveys, 510
observational
Since the observational surveys contained less information and therefore fewer fields to use in the
deduplication process, it was challenging to rationalize the drop of any potential duplicates in this data.
For example, if two different volunteers were instructed to record their observations regarding the
same scenario, they would likely describe the scenario in two completely different ways. Thus, there
would be no certainty that the individuals observed in the scenario were the same individual or
different individuals. Therefore, it was decided to include all observational surveys. Throughout the rest
of the report, the results will be discussed in terms of interview survey data versus observational survey
data. It is important to make this distinction as the interview survey data is based on the respondent’s
own self‐identification, while the observational survey data is based on the volunteer’s perceptions.
Extrapolation techniques are not incorporated into this report. The 2017 PIT Count reflects only
individuals who were counted (through direct observation or interviewed), rather than estimated
based on tents or belongings.
It was not feasible to deduplicate the interview and observational data together because, again, the
interview data was based on self‐identification while the observational data was based on volunteer
perception. Therefore, none of the fields from these two different surveys were identical, making it
nearly impossible to deduplicate across survey types.
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Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Volunteer Recruitment
Four hundred and ninety eight volunteers were recruited through the following methods:
email blasts outreach to faith‐based organizations local colleges and universities; press releases published in several print and online newspapers throughout Riverside County volunteer trainings which ran from January 3, 2017 to January 20, 2017 printed flyers distributed at various agencies and collaborative meetings
A web‐based survey (SurveyMonkey) was used to keep track of volunteer registrations. PIT Count
volunteers provided assistance in the following ways:
Served as enumerators in the street‐based count on January 24, 2017, between 5:30 a.m. and 9:30 a.m.
Helped DPSS identify locations in Riverside County where homeless individuals and families were known to live and congregate
Donated items to be used in the incentive bags given to homeless individuals who were surveyed
All volunteers were required to complete a 90‐minute onsite or online volunteer orientation where
they received instructions on how to conduct the count and on important safety guidelines.
Unsheltered Homeless Count
Street‐Based Count
The street‐based count took place on January 24, 2017, between 5:30 a.m. and 9:30 a.m. A total of
volunteers were divided into small groups and deployed across Riverside County to pre‐identified
locations where homeless people were known to live and/or congregate. Volunteers served as team
leaders, lookouts, or counters and met at one of the deployment centers across the county to receive
their team assignments, surveys, supplies, and maps.
In 2017, the Riverside County Sheriff law enforcement teams worked with designated crime analysts to
produce maps with the known locations of homeless individuals throughout Riverside County. Based
on the analysis of the homeless locations identified and the general coverage areas, city and law
enforcement leaders were able to estimate the effective number of volunteer count teams needed to
address the entire coverage areas.
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Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Service‐Based Count
The service‐based count took place on January 24, 2017, between 7:00 a.m. and 2:00 p.m. Several
weeks prior to the count, DPSS staff compiled a list of agencies that provide services to homeless
people throughout Riverside County. The list was compiled using several resources, including:
a list of service agencies that the DPSS Homeless Programs Unit had on hand
an internet search
Riverside County’s Continuum of Care
Though efforts were taken to compile a comprehensive list, this list is by no means exhaustive. Once
the final list was completed, contact was attempted with each organization. The goal of contacting
each organization was to verify the agency name, contact information, operational hours, and to assess
each agency’s interest level and how many estimated volunteers would be needed. All agencies that
operated between the hours of 7:00 a.m. and 2:00 p.m. on Tuesdays were contacted or attempts were
made. The remaining agencies were classified into four categories: information unconfirmed; willing to
administer surveys with agency staff; willing to have volunteers administer surveys at facility; or not
interested in participating.
Behavioral Health Homeless Outreach Count
Riverside University Health System – Behavioral Health Homeless Outreach (RUHS‐BH) teams used the
departments’ Housing Crisis Response teams (16 staff) to assist in the count to canvass non‐city
(unincorporated) areas throughout Riverside County. RUHS‐BH performed their primary unsheltered
counts of non‐city areas on the day of the Count, and also performed a follow‐up sweep during the
seven‐day period afterward, as allowed by the HUD methodology4
The RUHS‐BH staff was also encouraged to count and survey homeless clients who were receiving
services at Behavioral Health Clinics throughout the county. The coverage they provided to the non‐city
areas included both (a) reconnaissance prior to the PIT Count to assess if particular areas had homeless
people; and (b) surveying the individuals they found during their reconnaissance at a later date (but
within the seven‐day window following the PIT Count. The Housing Crisis Response teams canvassed
the areas to assess the presence of individuals living on the streets or in uninhabitable locations. The
reconnaissance efforts began the month prior to the Count; increasing in frequency over the week
before the Count; and then continued every day leading up to the Count. If no individuals living on the
street were identified in a particular area, RUHS‐BH teams returned for one last round of
reconnaissance two days prior to the Count date. If RUHS‐BH found, or knew of, suspected homeless
individuals in a particular area, they returned on the day of the Count (or the seven day period
following the Count date) to administer the survey. On the day of the Count, RUHS‐BH teams surveyed
4A survey of people at various social service locations or other public or private locations to identify people who were unsheltered, but not counted, on the night of the count‐‐either because CoC's did not use a night of the count approach or because unsheltered people were missed on the night of the count. Service‐based counts may only be conducted within the seven‐day period after the designated count night.
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Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
the locations with known homeless and then surveyed the remaining locations over the next seven
days, ensuring that every known or encountered homeless individual had been counted and/or
surveyed. The deduplication method was implemented to account for any individuals who may have
been interviewed multiple times.
Follow‐up Count During Seven Day Window
For weeks and days leading up to the PIT Count, there were severe thunderstorms which affected the
riverbeds, flood control channels and areas prone to mudslides in which homeless individuals resided.
On the day of the PIT Count, many of these locations were vacated due to the severe weather
conditions. Subsequently, the PIT methodology was expanded to afford city leaders and law
enforcement personnel the opportunity to conduct a follow up Count during the seven day window to
count and survey homeless individuals that may have been missed on the PIT Count date. The
deduplication method was implemented to account for any individuals who may have been
interviewed multiple times.
Youth Count
Beginning in 2017, HUD mandated that all Continua of Care (CoCs) conduct a Youth Point in Time Count. A separate Count is required because youth experiencing homelessness congregate in different locations and at different times than older adults; youth often do not want to be found, and youth do not often think of themselves as being homeless.
The purpose of the Youth Count is to:
Identify how many youth under age 24 are homeless on a given day in Riverside County;
Determine the need for youth homeless services; and
Guide decisions about how to use available resources.
The Youth Count will provide essential data for planning and developing community interventions to
meet the goal of preventing and ending homelessness in families, children and youth by the year 2020,
as established by the federal Opening Doors strategy.
Although youth experiencing homelessness or at‐risk for homelessness were counted, only those that
were “literally homeless” according to HUD guidelines are included in the official unsheltered counts
within this report (See Appendix E).
The County of Riverside CoC conducted a Youth PIT Count and Survey in partnership with the
Department of Public Social Services, Riverside University Health System – Behavioral Health TAY
Program, and Operation Safehouse. The street‐based and service‐based counts took place during the
seven‐day window between January 24, ‐ January 30, 2017. Partnering youth agencies led their own
teams of trained, youth‐friendly staff and volunteers to conduct the Youth Count and Survey at various
locations throughout Riverside County.
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Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Youth Count Planning Team
California Family Life Center Rubidoux YOC City of Riverside DPSS Homeless Programs Unit Desert AIDS Project Desert Sands Unified School District Housing Authority of the County of Riverside Operation SafeHouse of the Desert Operation SafeHouse Riverside Operation SafeHouse Cup of Happy
Operation SafeHouse Transitional Living Prog. Riverside County Sheriff's Homeless Outreach Team RUHS Behavioral Health HHOPE RUHS Behavioral Health TAY Journey Program RUHS Behavioral Health Children’s Board Safe Schools Desert Cities United Way of the Inland Valleys
Sheltered Homeless Count
As required by HUD, the sheltered Count involved counting homeless individuals and families who
stayed in emergency shelters and transitional housing on the night of January 23, 2017. The sheltered
Count was conducted in accordance with HUD’s counting standards and methodology guidance. The
Homeless Management Information System (HMIS) data was used to generate the sheltered Count and
subpopulation data for projects with one hundred percent of beds participating in HMIS.
In preparation for the 2017 Housing Inventory Count (HIC) and the Point‐in‐Time Count (PIT), the HMIS
Administrators Council, HMIS participating agencies and users were provided with training and
resources on data collection processes and requirements. The training emphasized the users’
responsibilities for ensuring data quality – accuracy, completeness and timeliness – that included
entering entry and exit dates into HMIS prior to the assigned deadline.
For non‐HMIS participating agencies and domestic violence shelter providers, a survey form was
provided to fill in demographic and household data. This information was used to complete the
population reporting requirement. The survey included a definition of terms and detailed instructions
to ensure data verification and data quality standards were met.
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Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Overview
There were a total of 1,638 individuals counted during the 2017 unsheltered homeless count. Table 4
displays the overall data by city or unincorporated area. When presenting any data below, please note
that there is a distinction between observational data (based on volunteer perception) and interview
data (based on respondent’s self‐identification), as discussed earlier in the report.
The total column for 2017 represents a summation of the interview and observational data. Both the
total count for each city and the respective percentage of the total number of unsheltered homeless
people in Riverside County are provided. Table 4 also compares the 2017 city counts to the 2016 city
counts. In the final column on the right of the table is the percent change between 2016 and 2017. It
should be noted that this comparison does not take into account the total sample sizes for each year.
The comparative data is presented this way in order to show the raw change in unsheltered homeless
counts for each city or unincorporated area from 2016 to 2017.
Table 4: Unsheltered Homeless Count by City and Type of Data
City or Unincorporated Area
2017 PIT Count Unsheltered Totals 2016 – 2017
Count Change
2016 – 2017
Percent Change Interview Observational
2016 2017
Count Percent Count Percent
City
Banning 26 6 25 1.9% 32 2.0% 7 28.0%
Beaumont 14 4 10 0.7% 18 1.1% 8 80.0%
Blythe 31 28 63 4.7% 59 3.6% ‐4 ‐6.3%
Calimesa 0 0 0 0.0% 0 0.0% 0 ‐
Canyon Lake 0 0 0 0.0% 0 0.0% 0 ‐
Cathedral City 37 7 27 2.0% 44 2.7% 17 63.0%
Coachella 61 20 59 4.4% 81 4.9% 22 37.3%
Corona 39 17 83 6.1% 56 3.4% ‐27 ‐32.5%
Desert Hot Springs 33 10 28 2.1% 43 2.6% 15 53.6%
Eastvale 0 0 0 0.0% 0 0.0% 0 ‐
Hemet 65 54 107 7.9% 119 7.3% 12 11.2%
Indian Wells 0 0 0 0.0% 0 0.0% 0 ‐
Indio 57 32 70 5.2% 89 5.4% 19 27.1%
Jurupa Valley 101 28 113 8.4% 129 7.9% 16 14.2%
La Quinta 1 1 8 0.6% 2 0.1% ‐6 ‐75.0%
Lake Elsinore 53 9 53 3.9% 62 3.8% 9 17.0%
Menifee 10 4 20 1.5% 14 0.9% ‐6 ‐30.0%
Moreno Valley 54 19 61 4.5% 73 4.5% 12 19.7%
Murrieta 5 2 0 0.0% 7 0.4% 7 ‐
Norco 3 1 12 0.9% 4 0.2% ‐8 ‐66.7%
UNSHELTERED COUNT FINDINGS
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Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
City or Unincorporated Area
2017 PIT Count Unsheltered Totals 2016 – 2017
Count Change
2016 – 2017
Percent Change Interview Observational
2016 2017
Count Percent Count Percent
City
Palm Desert 21 7 19 1.4% 28 1.7% 9 47.4%
Palm Springs 90 48 83 6.1% 138 8.4% 55 66.3%
Perris 27 2 65 4.8% 29 1.8% ‐36 ‐55.4%
Rancho Mirage 0 0 3 0.2% 0 0.0% ‐3 ‐100.0%
Riverside 231 158 258 19.1% 389 23.7% 131 50.8%
San Jacinto 23 8 18 1.3% 31 1.9% 13 72.2%
Temecula 67 18 37 2.7% 85 5.2% 48 129.7%
Wildomar 4 2 13 1.0% 6 0.4% ‐7 ‐53.8%
Subtotal 1053 485 1235 91.4% 1538 93.9% 303 24.5%
Unincorporated Area
Anza 0 0 2 0.1% 0 0.0% ‐2 ‐100.0%
Bermuda Dunes 10 0 2 0.1% 10 0.6% 8 400.0%
Cabazon 1 0 6 0.4% 1 0.1% ‐5 ‐83.3%
Cactus City 1 0 0 0.0% 1 0.1% 1 ‐
Cherry Valley 1 0 3 0.2% 1 0.1% ‐2 ‐66.7%
Coronita 0 5 0 0.0% 5 0.3% 5 ‐
Highgrove 1 4 25 1.9% 5 0.3% ‐20 ‐80.0%
Home Gardens 0 1 0 0.0% 1 0.1% 1 ‐
Homeland 0 0 2 0.1% 0 0.0% ‐2 ‐100.0%
Idyllwild 8 2 12 0.9% 10 0.6% ‐2 ‐16.7%
Lakeland Village 9 0 14 1.0% 9 0.5% ‐5 ‐35.7%
Mead Valley 12 2 0 0.0% 14 0.9% 14 ‐
Meadowbrook 0 0 3 0.2% 0 0.0% ‐3 ‐100.0%
Mecca 13 2 21 1.6% 15 0.9% ‐6 ‐28.6%
Mesa Verde 0 0 2 0.1% 0 0.0% ‐2 ‐100.0%
Romoland 4 1 3 0.2% 5 0.3% 2 66.7%
Temescal Valley 0 1 0 0.0% 1 0.1% 1 ‐
Thermal 1 0 8 0.6% 1 0.1% ‐7 ‐87.5%
Thousand Palms 12 5 6 0.4% 17 1.0% 11 183.3%
Valle Vista 2 2 0 0.0% 4 0.2% 4 ‐
White Water 0 0 1 0.1% 0 0.0% ‐1 ‐100.0%
Woodcrest 0 0 6 0.4% 0 0.0% ‐6 ‐100.0%
Subtotal 75 25 116 8.6% 100 6.1% ‐16 ‐13.8%
Grand Total 1128 510 1351 100.0% 1638 100.0% 287 21.2%
*Note: 2017 PIT comprehensive final data. There may be slight variations between the preliminary numbers and the data contained in this report. Only unincorporated communities with a 2016/2017 unsheltered count greater than zero are included.
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Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Reasons Contributing to Homelessness
In 2017, at the recommendation of city officials and representatives from the Riverside County
Continuum of Care (CoC), a new question was added to the interview survey tool in order capture the
primary reasons for individuals becoming homeless within Riverside County. Among the unsheltered
homeless population, 33% selected unemployment as a primary reason for homelessness (n = 347);
27% selected lack of income for housing as a primary reason for homelessness (n = 288); 4% selected
fleeing domestic violence as a primary reason (n = 44); 3% selected discharge from medical institution
as a primary reason (n = 31); 8% selected discharged from jail or prison as a primary reason (n = 79); 8%
selected mental illness as a primary reason (n = 84); 7% selected runaway and/or left home as a
primary reason (n = 69). See Table 5 below for full details on these unsheltered subpopulations.
Table 5: 2017 Primary Reasons for Becoming Homeless
Primary Reasons for Becoming Homeless
Count
Percentage %
Unemployment 347 33%
Lack of income for housing 288 27%
Fleeing domestic violence 44 4%
Discharged from medical institution 31 3%
Discharged from jail or prison 79 8%
Mental Illness 84 8%
Runaway/left home 69 7%
Other 368 35%
Gender
Of the 1,638 unsheltered homeless people, a majority (69%) of these individuals were men (n = 1123)
and (27%) of these individuals were female (n=445). See Table 6 below for full details. Table 6 also
compares the 2016 to the 2017 gender subpopulation counts. In the final column on the right of the
table is the percent change between 2016 and 2017. It should be noted that this comparison does not
take into account the total sample sizes for each year. The comparative data is presented this way in
order to show the raw change in unsheltered homeless gender counts from 2016 to 2017.
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Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Table 6: 2016‐2017 Unsheltered Homeless Count Comparison – Breakdown of Gender
*Note: Interview data is based on respondent's self‐identification while observational data is based on volunteer
perception.
Figure 1: 2017 Unsheltered Homeless Count – Breakdown of Gender
Race and Ethnicity
A majority (57%) of the unsheltered homeless population either identified or were observed as White
(n = 928); (11%) either identified or were observed as African American (n=186); (5%) either identified
or were observed as American Indian or Alaskan Native (n=89); (1%) either identified or were observed
as Native Hawaiian or Pacific Islander (n=20); (1%) either identified or were observed as Asian (n=10);
(3%) either identified or were observed as Multiple Races (n=50); (See Table 7 below). Approximately
(28%) of the population either identified as or were observed as Hispanic or Latino (n=465) (See Table 8
0
200
400
600
800
1000
1200
Female Male Transgender Don't Know orRefused
(blank)
2016‐2017 Unsheltered Homeless Count Comparison – Breakdown of Gender
2016
2017
2017 General PIT Count
Unsheltered Totals 2016‐2017
2016‐2017
Gender 2016 2017 Count Change
Percent Difference Interview Observational Count Percent Count Percent
Female 333 112 389 28.79% 445 27.17% 56 14.40%
Male 777 346 940 69.58% 1123 68.56% 183 19.47%
Transgender 8 0 1 0.07% 8 0.49% 7 700.00%
Don't Know or Refused
2 45 13 0.96% 47 2.87% 34 261.54%
(blank) 8 7 8 0.59% 15 0.92% 7 87.50%
Total 1128 510 1351 ‐ 1638 ‐ 287 ‐
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Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
below). Ethnicity was assessed in a separate question than race as HUD considers Hispanic to be an
ethnicity, not a race. See Table 7 and 8 for full details regarding the 2016 to the 2017 race and ethnicity
subpopulation comparison. In the final column on the right of the table is the percent change between
2016 and 2017. It should be noted that this comparison does not take into account the total sample
sizes for each year. The comparative data is presented this way in order to show the raw change in
unsheltered homeless race counts from 2016 to 2017.
Table 7: 2016‐2017 Unsheltered Homeless Count Comparison – Breakdown of Race
Race 2017 PIT Count Unsheltered Totals 2016‐2017
2016 2017 Count Change
Percentage Change Interview Observational Count Percent Count Percent
American Indian or
Alaska Native 82 7 87 6.44% 89 5.43% 2 2.30%
Asian 8 2 10 0.74% 10 0.61% 0 0.00%
Black or African American
131 55 160 11.84% 186 11.36% 26 16.25%
Native Hawaiian,
Pacific Islander 19 1 12 0.89% 20 1.22% 8 66.67%
White 710 218 822 60.84% 928 56.65% 106 12.90%
Multiple Races 50 0 55 4.07% 50 3.05% ‐5 ‐9.09%
Don't Know or Refused
107 154 258 19.10% 261 15.93% 3 1.16%
(blank) 129 72 39 2.89% 201 12.27% 162 415.38%
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Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
0
200
400
600
800
1000
1200
Hispanic or Latino Not Hispanic or Latino Blank
Unsheltered Homeless Count Comparison –Breakdown of Ethnicity
2016
2017
Figure 2: 2016‐2017 Unsheltered Homeless Count – Breakdown of Race
Table 8: 2016‐2017 Unsheltered Homeless Count Comparison – Breakdown of Ethnicity
Figure 3: 2016‐2017 Unsheltered Homeless Count – Breakdown of Ethnicity
0
200
400
600
800
1000
AmericanIndian orAlaskaNative
Asian Black orAfricanAmerican
NativeHawaiian,PacificIslander
White MultipleRaces
Don'tKnow orRefused
(blank)
2016 ‐ 2017 Unsheltered Homeless Count –Breakdown of Race
2016
2017
Ethnicity
2017 General PIT Count Unsheltered Totals 2016‐2017
Interview Observational2016 2017 Count
Change Percent Change
Count Percent Count Percent
Hispanic or Latino 360 105 372 20% 465 28% 25% 45%
Not Hispanic or Latino 723 247 930 49% 970 59% 4% 21%
Blank 45 158 49 3% 203 12% 314% 381%
Total 1128 510 1351 71% 1638 100% 21% 41%
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Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Age
The majority of the 2017 unsheltered homeless population was between the ages of 50‐61 (n = 403)
and 40‐49 (n = 318). See Table 9 for full details regarding age. Table 9 also compares the 2016 to the
2017 age subpopulation counts. In the final column on the right of the table is the percent change
between 2016 and 2017. It should be noted that this comparison does not take into account the total
sample sizes for each year. The comparative data is presented this way in order to show the raw
change in unsheltered homeless age counts from 2016 to 2017.
Table 9: 2016‐2017 Unsheltered Homeless Count Comparison – Breakdown of Age
Age Range
2017 PIT Count Unsheltered Totals 2016‐2017
Interview Observational 2016 2017 Count
Change
Percentage Difference
Count Percent Count Percent
0‐5 0 0 1 0.07% 0 0.00% ‐1 ‐100.00%
17 or under
11 4 13 0.96% 15 0.92% 2 15.38%
18‐24 107 71 82 6.07% 178 10.87% 96 117.07%
25‐29 91 112 101 7.48% 203 12.39% 102 100.99%
30‐39 203 92 256 18.95% 295 18.01% 39 15.23%
40‐49 250 68 305 22.58% 318 19.41% 13 4.26%
50‐61 340 63 396 29.31% 403 24.60% 7 1.77%
62‐69 70 34 94 6.96% 104 6.35% 10 10.64%
70‐79 9 4 22 1.63% 13 0.79% ‐9 ‐40.91%
80+ 6 0 4 0.30% 6 0.37% 2 50.00%
(blank) 41 62 78 5.77% 103 6.29% 25 32.05%
Total 1128 510 1351 ‐ 1638 ‐ 287 ‐
P a g e | 31
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Figure 4: 2016‐2017 Unsheltered Homeless Count – Breakdown of Age
Veterans
Most of the unsheltered homeless individuals were not veterans. Table 10 compares the 2016 to the
2017 veteran and chronically homeless veterans that were counted.
Table 10: 2017 Unsheltered Homeless Count – Veterans
Veterans
2016 2017 2016‐2017
Count Percent Count Percent Count Change
Percentage Difference
Unsheltered Homeless Veterans
100 7.40% 91 5.56% ‐9 ‐9.00%
Unsheltered Chronically Homeless Veterans
36 2.66% 37 2.26% 1 2.78%
Youth
Among the unsheltered homeless population, 12% were considered homeless youth under the age of
25 (n = 193) according to HUD’s “literally homeless” definition. Unaccompanied homeless youth must
not be in the physical custody of a parent or guardian. Table 11 provides a breakdown of these
unsheltered youth subpopulations.
0
100
200
300
400
500
0‐5 17 orunder
18‐24 25‐29 30‐39 40‐49 50‐61 62‐69 70‐79 80+ (blank)
2016‐2017 Unsheltered Homeless Count –Breakdown of Age
2016
2017
P a g e | 32
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Table 11: 2017 Unsheltered Youth Count – Age 24 and Under
2016 2017 2016‐2017
Count Percent Count Percent Count Change
Percentage Difference
Unaccompanied Minor Youth (17 and Under)
1 0.07% 11 0.67% 10 1000.00%
Unaccompanied Transitional Age Youth (24 and Under)
81 6.06% 171 10.43% 90 111.11%
Total Minor Youth (17 and Under)
13 0.96% 15 1.00% 2 15.38%
Total Transitional Age Youth (24 and Under)
82 6.06% 178 10.87% 96 117.07%
*Note: This information was obtained from the interview and observational surveys that meet the HUD definition of homeless youth. Additional details regarding youth population will be published in a separate Youth Count Addendum.
Subpopulations
Among the unsheltered homeless population, 30% were considered chronically homeless (n = 341);
18% were recently released from jail or prison (n = 202); and 25% were victims of domestic violence (n
=282). See Table 12 below for full details on these unsheltered subpopulations. Table 12 also compares
the 2016 to the 2017 subpopulation counts. In the final column on the right of the table is the percent
change between 2016 and 2017. It should be noted that this comparison does not take into account
the total sample sizes for each year. The comparative data is presented this way in order to show the
raw change in unsheltered homeless subpopulation counts from 2016 to 2017.
P a g e | 33
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Table 12: 2016‐2017 Unsheltered Homeless Count Comparison – Breakdown of Subpopulations
Subpopulation
2016 2017 2016‐2017
Count Percent Count Percent Count Change
Percent Change
Chronically Homeless 299 25.95% 341 30.23% 42 14.05%
Families with Children 8 0.69% 3 0.29% ‐5 ‐62.50%
Veterans 100 8.68% 91 8.07% ‐9 ‐9.00%
Youth 24 or younger 95 8.25% 193 17.11% 98 103.16%
Alcohol Use 273 23.70% 291 25.80% 18 6.59%
Drug Use 341 29.60% 461 40.87% 120 35.19%
PTSD 200 17.36% 268 25.52% 68 34.00%
Mental Health Conditions 275 23.87% 309 27.39% 34 12.36%
Physical Disability 326 28.30% 362 34.48% 36 11.04%
Developmental Disability 128 11.11% 135 11.97% 7 5.47%
Brain Injury 201 17.45% 212 20.19% 11 5.47%
Victim of Domestic Violence 265 23.00% 282 25.00% 17 6.42%
AIDS or HIV 11 0.95% 21 1.86% 10 90.91%
Jail (within 12 months) 223 19.36% 202 17.91% ‐21 ‐9.42% *Note: All subpopulations with the exception of Youth 24 or younger are obtained from the interview surveys (not observational surveys). Youth 24 or younger count is obtained from interview and observational surveys. Chronically homeless was defined according to HUD's definition if the person had been living in emergency shelter and/or on the streets (a) for the past year or more or (b) four or more times during the last three years and who may have a disability (HUD HEARTH Act Interim Rule, pgs. 53‐54). Jail was defined as someone who was released from jail or prison within the past 12 months. An individual could potentially be categorized into multiple or all subpopulations.
Among the unsheltered homeless population, 26% reported using alcohol (n = 291), 41% reported
using drugs (n = 461), 26% reported suffering from Post‐Traumatic Stress Disorder (PTSD) (n = 268),
27% reported having a mental health condition (n = 309), 34% reported having a physical disability (n =
362), 12% reported having a developmental disability (n = 135), and 20% reported suffering from a
brain injury (n = 212). Among those individuals who reported experiencing these situations, almost half
of them indicated that PTSD (51%), physical disabilities (50%), mental health conditions (44%), and
developmental disabilities (43%) prevented them from obtaining stable housing or a steady job. It is
important to note that an individual could potentially be categorized into multiple or all
subpopulations. Table 13 also compares the 2016 to the 2017 subpopulation counts.
P a g e | 34
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Table 13: 2016‐2017 Unsheltered Homeless Count Comparison – Breakdown of Disabling Conditions
Disabling Conditions
Number of respondents who stated they have experienced…
Number of respondents who stated it prevents them from obtaining housing or work.
2016 2017 2016 2017
Subpopulation Count Percent Count Percent Count Percent Count Percent
Alcohol Use 273 26.20% 291 25.80% 61 5.90% 47 4.20%
Drug Use 341 32.70% 461 40.87% 90 8.60% 109 9.70%
PTSD 200 19.20% 268 25.52% 106 10.20% 136 12.10%
Mental Health Conditions
275 26.40% 309 27.39% 144 13.80% 137 12.10%
Physical Disability 326 31.30% 362 34.48% 190 18.20% 181 16.00%
Developmental Disability
128 12.30% 135 11.97% 59 5.70% 58 5.10%
Brain Injury 201 19.30% 212 20.19% 82 7.90% 72 6.40%
Table 14 below displays subpopulation data by city versus unincorporated area. This table provides a
highlight of subpopulation information. A count for each city is provided, as well as its corresponding
percentage of the total unsheltered sample that had subpopulation data available (n = 1,128). It is
important to note that subpopulation information was not collected on the observational tool.
Additional subpopulation information for the overall total amount of unsheltered homeless can be
found in Table 12.
P a g e | 35
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Table 14: Unsheltered Homeless Count – Subpopulation Data by City versus Unincorporated Area
Count Percent Count Percent Count Percent Count Percent Count Percent Count Percent Count Percent Count Percent Count Percent Count Percent Count Percent Count Percent Count Percent Count Percent Count Percent
City
Banning 32 2.0% 12 1.1% 0 0.0% 4 0.4% 1 0.1% 11 1.0% 11 1.0% 7 0.7% 12 1.1% 9 0.8% 3 0.3% 6 0.6% 8 0.7% 1 0.1% 5 0.5%
Beaumont 18 1.1% 2 0.2% 0 0.0% 0 0.0% 0 0.0% 2 0.2% 2 0.2% 1 0.1% 1 0.1% 1 0.1% 0 0.0% 0 0.0% 1 0.1% 0 0.0% 3 0.3%
Blythe 59 3.6% 11 1.0% 0 0.0% 4 0.4% 4 0.2% 7 0.6% 11 1.0% 6 0.6% 13 1.2% 12 1.1% 6 0.5% 7 0.7% 12 1.1% 0 0.0% 5 0.5%
Calimesa 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Canyon Lake 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Cathedral City 44 2.7% 15 1.3% 0 0.0% 5 0.4% 3 0.2% 9 0.8% 24 2.1% 7 0.7% 9 0.8% 6 0.5% 6 0.5% 6 0.6% 7 0.6% 2 0.2% 18 1.7%
Coachella 81 4.9% 20 1.8% 0 0.0% 5 0.4% 1 0.1% 11 1.0% 12 1.1% 10 1.0% 11 1.0% 24 2.1% 4 0.4% 8 0.8% 11 1.0% 1 0.1% 6 0.6%
Corona 56 3.4% 12 1.1% 0 0.0% 1 0.1% 6 0.4% 6 0.5% 16 1.4% 8 0.8% 11 1.0% 15 1.3% 9 0.8% 9 0.9% 7 0.6% 2 0.2% 8 0.8%
Desert Hot Springs 43 2.6% 5 0.4% 0 0.0% 1 0.1% 6 0.4% 7 0.6% 11 1.0% 15 1.4% 6 0.5% 13 1.2% 2 0.2% 11 1.0% 17 1.5% 0 0.0% 5 0.5%
Eastvale 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Hemet 119 7.3% 15 1.3% 0 0.0% 8 0.7% 21 1.3% 26 2.3% 27 2.4% 20 1.9% 19 1.7% 15 1.3% 4 0.4% 17 1.6% 15 1.3% 0 0.0% 13 1.2%
Indian Wells 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Indio 89 5.4% 26 2.3% 0 0.0% 5 0.4% 7 0.4% 13 1.2% 29 2.6% 16 1.5% 10 0.9% 19 1.7% 8 0.7% 11 1.0% 17 1.5% 1 0.1% 9 0.9%
Jurupa Valley 129 7.9% 30 2.7% 0 0.0% 6 0.5% 6 0.4% 25 2.2% 47 4.2% 27 2.6% 27 2.4% 27 2.4% 6 0.5% 21 2.0% 20 1.8% 1 0.1% 14 1.3%
La Quinta 2 0.1% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 1 0.1% 1 0.1% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Lake Elsinore 62 3.8% 15 1.3% 0 0.0% 0 0.0% 2 0.1% 15 1.3% 24 2.1% 13 1.2% 15 1.3% 17 1.5% 8 0.7% 13 1.2% 10 0.9% 1 0.1% 16 1.5%
Menifee 14 0.9% 0 0.0% 0 0.0% 0 0.0% 3 0.2% 2 0.2% 5 0.4% 0 0.0% 1 0.1% 4 0.4% 1 0.1% 1 0.1% 1 0.1% 0 0.0% 4 0.4%
Moreno Valley 73 4.5% 14 1.2% 0 0.0% 3 0.3% 18 1.1% 16 1.4% 22 2.0% 11 1.0% 20 1.8% 15 1.3% 6 0.5% 7 0.7% 13 1.2% 5 0.4% 10 1.0%
Murrieta 7 0.4% 1 0.1% 0 0.0% 0 0.0% 1 0.1% 3 0.3% 3 0.3% 1 0.1% 1 0.1% 1 0.1% 1 0.1% 1 0.1% 1 0.1% 0 0.0% 3 0.3%
Norco 4 0.2% 3 0.3% 0 0.0% 0 0.0% 2 0.1% 3 0.3% 2 0.2% 0 0.0% 2 0.2% 1 0.1% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Palm Desert 28 1.7% 7 0.6% 0 0.0% 3 0.3% 3 0.2% 7 0.6% 9 0.8% 4 0.4% 7 0.6% 14 1.2% 7 0.6% 5 0.5% 7 0.6% 0 0.0% 0 0.0%
Palm Springs 138 8.4% 20 1.8% 1 0.1% 12 1.1% 11 0.7% 19 1.7% 29 2.6% 29 2.8% 25 2.2% 35 3.1% 9 0.8% 20 1.9% 26 2.3% 4 0.4% 13 1.2%
Perris 29 1.8% 5 0.4% 0 0.0% 1 0.1% 1 0.1% 4 0.4% 9 0.8% 9 0.9% 8 0.7% 10 0.9% 5 0.4% 8 0.8% 5 0.4% 0 0.0% 3 0.3%
Rancho Mirage 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Riverside 389 23.7% 73 6.5% 0 0.0% 21 1.9% 77 4.7% 66 5.9% 107 9.5% 48 4.6% 83 7.4% 75 6.6% 37 3.3% 42 4.0% 65 5.8% 3 0.3% 32 3.0%
San Jacinto 31 1.9% 8 0.7% 0 0.0% 1 0.1% 5 0.3% 1 0.1% 12 1.1% 4 0.4% 5 0.4% 3 0.3% 5 0.4% 5 0.5% 5 0.4% 0 0.0% 5 0.5%
Temecula 85 5.2% 21 1.9% 0 0.0% 6 0.5% 9 0.5% 17 1.5% 25 2.2% 20 1.9% 10 0.9% 18 1.6% 3 0.3% 8 0.8% 17 1.5% 0 0.0% 19 1.8%
Wildomar 6 0.4% 1 0.1% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 1 0.1% 0 0.0% 1 0.1% 0 0.0% 0 0.0% 2 0.2% 0 0.0% 0 0.0%
Sub Total 1538 93.9% 316 28.0% 1 0.1% 86 7.6% 187 11.4% 271 24.0% 438 38.8% 257 24.5% 296 26.2% 335 29.7% 130 11.5% 206 19.6% 267 23.7% 21 1.9% 191 18.2%
Jail (within 12
months)Brain Injury
Victims of
Domestic
Violence
AIDS or HIV
*Note: 2017 PIT comprehensive data. Unsheltered count and Youth(24 or younger) includes total interview and observational collected data; percent of total unsheltered field and Youth(24 or younger) field calculated on total collected (1638). Families with Children, PTSD
and Brain Injury field are unique to the general PIT questionnaire; percent of total calculated based on persons interviewed (1050). All remaining fields percentage calculated on total persons interviewed (1128).
City or Unincorporated
Area
Total
Unsheltered
Homeless
Individuals
Chronically
Homeless
Families with
ChildrenVeterans
Youth (24 or
younger)Alcohol Use Drug Use PTSD
Mental Health
Conditions
Physical
Disability
Developmental
Disability
2017 Unsheltered Homeless Count ‐ Subpopulation Data by City versus Unincorporated Area
P a g e | 36
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Table 14: 2017 Unsheltered Homeless Count – Subpopulation Data by City versus Unincorporated Area (Continued)
Count Percent Count Percent Count Percent Count Percent Count Percent Count Percent Count Percent Count Percent Count Percent Count Percent Count Percent Count Percent Count Percent Count Percent Count Percent
Unincorporated Area
Aguanga 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Alberhill 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Anza 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Belltown 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Bermuda Dunes 10 0.6% 6 0.5% 0 0.0% 1 0.1% 0 0.0% 2 0.2% 4 0.4% 0 0.0% 2 0.2% 5 0.4% 2 0.2% 2 0.2% 2 0.2% 0 0.0% 3 0.3%
Cactus City 1 0.1% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 1 0.1% 0 0.0% 0 0.0% 1 0.1% 1 0.1% 0 0.0% 1 0.1% 0 0.0% 0 0.0% 0 0.0%
Cabazon 1 0.1% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 1 0.1% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Cherry Valley 1 0.1% 1 0.1% 0 0.0% 1 0.1% 0 0.0% 1 0.1% 0 0.0% 0 0.0% 0 0.0% 1 0.1% 0 0.0% 0 0.0% 1 0.1% 0 0.0% 0 0.0%
Chiriaco Summit 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Coronita 5 0.3% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Crestmore Heights 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Desert Beach 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Desert Center 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Desert Edge 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Desert Palms 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
East Blythe 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Eagle Mountain 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Eagle Valley 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
East Hemet 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
El Cerrito 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
El Sobrante 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
French Valley 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Garnet 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Good Hope 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Green Acres 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Highgrove 5 0.3% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 1 0.1% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Home Gardens 1 0.1% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Homeland 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Idyllwild 10 0.6% 3 0.3% 0 0.0% 0 0.0% 1 0.1% 3 0.3% 2 0.2% 0 0.0% 0 0.0% 1 0.1% 1 0.1% 1 0.1% 0 0.0% 0 0.0% 1 0.1%
Indio Hills 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Lake Mathews 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Lake Riverside 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Lake Tamarisk 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Lakeland Village 9 0.5% 1 0.1% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 1 0.1% 1 0.1% 1 0.1% 2 0.2% 1 0.1% 1 0.1% 2 0.2% 0 0.0% 0 0.0%
Lakeview 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Lost Lake 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
March ARB 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Mead Valley 14 0.9% 7 0.6% 1 0.1% 0 0.0% 2 0.1% 1 0.1% 7 0.6% 6 0.6% 4 0.4% 4 0.4% 0 0.0% 1 0.1% 5 0.4% 0 0.0% 3 0.3%
Meadowbrook 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Mecca 15 0.9% 0 0.0% 1 0.1% 0 0.0% 2 0.1% 6 0.5% 3 0.3% 0 0.0% 1 0.1% 2 0.2% 0 0.0% 0 0.0% 1 0.1% 0 0.0% 2 0.2%
Mesa Verde 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Mountain Center 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
North Shore 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Nuevo 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Oasis 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Pine Cove 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Pinyon Pines 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Rancho Capistrano 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Ripley 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Romoland 5 0.3% 2 0.2% 0 0.0% 0 0.0% 0 0.0% 2 0.2% 1 0.1% 1 0.1% 1 0.1% 4 0.4% 0 0.0% 0 0.0% 2 0.2% 0 0.0% 0 0.0%
Sage 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Sky Valley 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Temescal Valley 1 0.1% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Thermal 1 0.1% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Thousand Palms 17 1.0% 3 0.3% 0 0.0% 3 0.3% 1 0.1% 3 0.3% 3 0.3% 2 0.2% 2 0.2% 4 0.4% 1 0.1% 0 0.0% 2 0.2% 0 0.0% 2 0.2%
Valle Vista 4 0.2% 2 0.2% 0 0.0% 0 0.0% 0 0.0% 1 0.1% 1 0.1% 1 0.1% 1 0.1% 2 0.2% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Vista Santa Rosa 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Warm Springs 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Whitewater 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Winchester 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Woodcrest 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0%
Sub Total 100 6.1% 25 2.2% 2 0.2% 5 0.4% 6 0.4% 20 1.8% 23 2.0% 11 1.0% 13 1.2% 27 2.4% 5 0.4% 6 0.6% 15 1.3% 0 0.0% 11 1.0%
Grand Total 1638 100.0% 341 30.2% 3 0.3% 91 8.1% 193 11.8% 291 25.8% 461 40.9% 268 25.5% 309 27.4% 362 32.1% 135 12.0% 212 20.2% 282 25.0% 21 1.9% 202 19.2%
Brain Injury
*Note: 2017 PIT comprehensive data. Unsheltered count and Youth(24 or younger) includes total interview and observational collected data; percent of total unsheltered field and Youth(24 or younger) field calculated on total collected (1638). Families with Children, PTSD and Brain
Injury field are unique to the general PIT questionnaire; percent of total calculated based on persons interviewed (1050). All remaining fields percentage calculated on total persons interviewed (1128).
Alcohol Use Drug Use PTSDMental Health
Conditions
Physical
Disability
Developmental
Disability
Victims of
Domestic
Violence
AIDS or HIVJail (within 12
months)
2017 Unsheltered Homeless Count ‐ Subpopulation Data by City versus Unincorporated Area
City or Unincorporated
Area
Total
Unsheltered
Homeless
Individuals
Chronically
Homeless
Families with
ChildrenVeterans
Youth (24 or
younger)
Ri
A
em
re
th
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M
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verside County
total of 768
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etween 2016
nsheltered ho
able 15: Shel
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Mental Health
Substance Use
Minor Youth (u
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Veterans
Chronically Ho
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SHELT
DPSS ASD HPU
8 homeless in
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6 and 2017.
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Figure
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7.
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70 8.60%
6 0.74%
09 25.68
66 20.39
66 20.39
50 18.43
16 1.97%
72 8.85%
11 13.64
8 0.98%
08 13.27
ansitional Housing
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% 165
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2017
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10.03%
1.30%
26.82%
16.67%
21.48%
19.01%
2.47%
8.72%
7.42%
0.00%
14.97%
S
P
Time Homeless C
se individuals
ansitional ho
w regarding th
e is the perce
ow the raw
2016‐2
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P
7
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‐3
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0 ‐
7
Total Sheltered Count
768
a g e | 37
Count Report
s stayed in
ousing. This
he 2016 to
ent change
change in
2017
ercentage Change
10.00%
66.70%
‐1.40%
‐22.90%
‐0.60%
‐2.70%
18.80%
‐6.90%
‐48.60%
‐100.00%
6.50%
P a g e | 38
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
The 2017 Point‐In‐Time Homeless Count unsheltered methodology consisted of a street‐based count, and a
service‐based count. The sheltered count methodology consisted of data extracted from the Homeless
Management Information System (HMIS) to count sheltered homeless individuals on the night of January 23,
2017. A total of 1,638 unsheltered homeless individuals and a preliminary sheltered count of 768 (total homeless
= 2,406) were identified in Riverside County during the 2017 Point‐In‐Time Homeless Count on January 24, 2017.
In contrast, during the 2016 PIT Count, 1,351 unsheltered and 814 sheltered homeless individuals (total homeless
= 2,165) were identified. Therefore, there was an 11% increase in the overall total number of homeless people
counted from 2016 to 2017 (21.2% increase in unsheltered homeless; 5.7% decrease in sheltered homeless).
Among the 1,638 unsheltered individuals counted in 2017, 1,128 were interviewed and 510 were observed. The
increase in the overall unsheltered 2017 Point‐in‐Time (PIT) Count reflects an actual increase in our homeless
population and a countywide commitment to conducting a more collaborative and rigorous count.
The increase in the size of the general homeless population and most subpopulations may obscure the fact that
many individuals’ lives have been changed for the better through Riverside County’s homeless initiatives. It is
important to consider the results of the 2017 Count within the context of local efforts to move individuals and
families out of homelessness through the provision of housing and supportive services. Through innovative and
effective housing programs and services, Riverside County remains committed to moving persons experiencing
homelessness into permanent housing.
The completion of the 2017 Homeless Point‐in‐Time Count provides required data for federal funding for the
Riverside County Continuum of Care (CoC). The data presented in the 2017 Homeless Point‐in‐Time Count and
Survey report will continue to be used by the CoC planning bodies and the City and County of Riverside and other
organizations to inform additional outreach, service planning, and policy decision‐making over the next year as
they continue to address homelessness.
Figure 6. 2017 Total Homeless Count Comparison – Year‐Over‐Year
3163 2775 2043
5090
1888 1587 13511638
1622 17331323
1113
1090 880 814 768
4785 4508
3366
6203
2978 2467 21652406
2005 2007 2009 2011 2013 2015 2016 2017
PIT Count Numbers 2005 ‐ 2017
Unsheltered Sheltered
CONCLUSION
P a g e | 39
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Street Based Count
Riverside County was under a severe thunderstorm warning by the National Weather Service in the weeks and
days leading up to the PIT Count. As the majority of Riverside County’s unsheltered homeless population resides
in unsheltered settings, we partnered with first responders to raise awareness for the PIT Count and to promote
the outreach services for homeless veterans, youth and families taking place on the day of the Count. This
message was layered onto an existing safety advisory initiated by first responders to warn homeless individuals of
the dangers of residing in riverbeds, flood control channels and areas prone to mudslides during
thunderstorms. This countywide effort between partnering county agencies helped to:
Raise awareness and educate the homeless population of the benefits of participating in the Count;
Educate the most service resistant individuals residing in hard to reach areas; and
Reinforce common purpose to bring homeless individuals out of the shadows and promote a common message not to fear law enforcement personnel escorting PIT Count volunteers into encampments.
Homeless individuals that heeded the law enforcement/emergency management warning either sought shelter in
drier areas or felt safe to participate in the survey, thus increasing the number of individuals surveyed during the
entire PIT Count.
Increase in the Number Observational Surveys
During the 2017 PIT Count, there was a 65% (201) increase in the number of observational surveys utilized
compared to 2016. The U.S. Department of Housing and Urban Development (HUD) makes provisions for using an
observational survey instead of an interview survey in the following situations:
PIT Count volunteer is unable to enter the location to conduct a survey.
PIT Count volunteer cannot conduct a survey (person refused to answer questions, language or other issues).
PIT Count volunteer does not wish to disturb people sleeping.
However, due to the limited amount of information collected on the observational survey and the fact that it
includes the volunteer’s perspective as opposed to the homeless individual’s response, it makes the deduplication
process challenging. Even though every effort is made to remove duplicates, there is no guarantee that some of
the individuals observed may or may not have been interviewed at another time during the PIT Count. The PIT
Count Planning Team recommends placing a greater emphasis on using the interview survey instead of the
observational surveys as much as possible.
CHALLENGES, LIMITATIONS AND RECOMMENDATIONS
P a g e | 40
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Service‐Based Count
Several challenges were encountered with the service‐based count. First, the list of service agencies was not
comprehensive because this task was initiated in late December and thus not enough time was permitted to
create an exhaustive list. Significant time and staff resources are needed to create such a comprehensive list. The
next PIT Count Planning Team should consider eliciting assistance from DPSS Continuum of Care community
partners in researching and creating a more comprehensive list of homeless service agencies in Riverside County.
Additionally, a more thorough outreach to agencies well in advance of the PIT Count should be conducted.
Youth Count
The PIT Count Planning Team, and participating youth partner agencies lacked adequate resources to conduct a
separate Youth Count to cover the entire geography within Riverside County. Unaccompanied homeless youth
are often difficult to find because they tend to: (a) congregate at different times and places than older adults, (b)
refuse (or are unaware of) social service programs and agencies, and (c) do not want to be found as they may be
fleeing abuse or the foster care system.
Although a separate Youth Count was conducted in 2017, the PIT Count Planning Team met with youth service
agencies to identify locations of homeless youth. For future Youth Counts, the PIT Count Planning Team
recommends early and ongoing collaboration and planning with youth service agencies to facilitate the planning
and implementation of a more comprehensive Youth PIT Count.
Shelter Count
The sheltered count primarily consisted of extracting data from the HMIS database. However, not all shelters
participate in HMIS (such as, providers for victims of domestic violence and hotel/motel vouchers). Some non‐
HMIS participating agencies do not use a database system to track their data. Instead, they rely on daily written
logs and sign‐in‐sheets to provide the count demographics and household information. Additionally, there have
been challenges in collecting the required information from the several non‐HMIS agencies in a timely manner.
The PIT Count Planning Team recommends that non‐HMIS participating agencies continue to be encouraged to
utilize the HMIS (except for the Domestic Violence agencies) database in order to collect the required information
in a timely manner.
P a g e | 41
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Appendix A: Survey Instruments
P a g e | 42
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
P a g e | 43
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
P a g e | 44
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
P a g e | 45
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
P a g e | 46
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
P a g e | 47
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
P a g e | 48
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Appendix B: City Summary Tables
P a g e | 49
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 3 0 3 9%
Asian 0 0 0 0%
Black or African American 2 0 2 6%
Native Hawaiian, Pacific Islander 0 0 0 0%
White 11 6 17 50%
Multiple Races 1 0 1 3%
Don't Know/ Refused to Answer 11 0 11 32%
Blank 0 0 0 0%
TOTAL 28 6 34 100%
Hispanic or Latino 10 0 10 31%
Not Hispanic or Latino 16 6 22 69%
Blank 0 0 0 0%
TOTAL 26 6 32 100%
Female 8 3 11 34%
Male 18 3 21 66%
Transgender 0 0 0 0%
Does Not Identify 0 0 0 0%
Blank 0 0 0 0%
TOTAL 26 6 32 100%
0‐5 0 0 0 0%
17 or under 0 0 0 0%
18‐24 1 0 1 3%
25‐29 1 0 1 3%
30‐39 9 3 12 38%
40‐49 8 1 9 28%
50‐61 7 1 8 25%
62‐69 0 1 1 3%
70‐79 0 0 0 0%
80+ 0 0 0 0%
Blank 0 0 0 0%
TOTAL 26 6 32 100%
Chronically Homeless 12 0 12 13%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 5 0 5 6%
Veterans 4 0 4 4%
Alcohol Use 11 0 11 12%
Drug Use 11 0 11 12%
PTSD 7 0 7 8%
Mental Health Conditions 12 0 12 13%
Physical Disability 9 0 9 10%
Developmental Disability 3 0 3 3%
Brain Injury 6 0 6 7%
Victim of Domestic Violence 8 0 8 9%
AIDS or HIV 1 0 1 1%
TOTAL 89 0 89 278%
Total Unsheltered Homeless Individuals 26 6 32 100%
Ethnicity
Gender
Age
Subpopulations
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ BANNING
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
P a g e | 50
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 1 1 2 9%
Asian 0 0 0 0%
Black or African American 0 0 0 0%
Native Hawaiian, Pacific Islander 0 0 0 0%
White 16 1 17 77%
Multiple Races 0 0 0 0%
Don't Know/ Refused to Answer 0 0 0 0%
Blank 1 2 3 14%
TOTAL 18 4 22 100%
Hispanic or Latino 3 0 3 17%
Not Hispanic or Latino 10 2 12 67%
Blank 1 2 3 17%
TOTAL 14 4 18 100%
Female 3 1 4 22%
Male 11 2 13 72%
Transgender 0 0 0 0%
Do Not Identify 0 0 0 0%
Blank 0 1 1 6%
TOTAL 14 4 18 100%
0‐5 0 0 0 0%
17 or under 0 0 0 0%
18‐24 0 0 0 0%
25‐29 0 1 1 6%
30‐39 4 2 6 33%
40‐49 2 0 2 11%
50‐61 3 0 3 17%
62‐69 1 0 1 6%
70‐79 1 0 1 6%
80+ 0 0 0 0%
Blank 3 1 4 22%
TOTAL 14 4 18 100%
Chronically Homeless 2 0 2 15%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 3 0 3 23%
Veterans 0 0 0 0%
Alcohol Use 2 0 2 15%
Drug Use 2 0 2 15%
PTSD 1 0 1 8%
Mental Health Conditions 1 0 1 8%
Physical Disability 1 0 1 8%
Developmental Disability 0 0 0 0%
Brain Injury 0 0 0 0%
Victim of Domestic Violence 1 0 1 8%
AIDS or HIV 0 0 0 0%
TOTAL 13 0 13 72%
Total Unsheltered Homeless Individuals 14 4 18 100%
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ BEAUMONT
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
Ethnicity
Gender
Age
Subpopulations
P a g e | 51
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 4 0 4 7%
Asian 0 0 0 0%
Black or African American 2 6 8 13%
Native Hawaiian, Pacific Islander 0 0 0 0%
White 19 7 26 43%
Multiple Races 1 0 1 2%
Don't Know/ Refused to Answer 1 5 6 10%
Blank 5 10 15 25%
TOTAL 32 28 60 100%
Hispanic or Latino 7 8 15 25%
Not Hispanic or Latino 22 17 39 66%
Blank 2 3 5 8%
TOTAL 31 28 59 100%
Female 9 9 18 31%
Male 21 16 37 63%
Transgender 0 0 0 0%
Do Not Identify 0 1 1 2%
Blank 1 2 3 5%
TOTAL 31 28 59 100%
0‐5 0 0 0 0%
17 or under 0 0 0 0%
18‐24 0 3 3 5%
25‐29 2 4 6 10%
30‐39 3 3 6 10%
40‐49 10 4 14 24%
50‐61 13 8 21 36%
62‐69 2 5 7 12%
70‐79 0 0 0 0%
80+ 0 0 0 0%
Blank 1 1 2 3%
TOTAL 31 28 59 100%
Chronically Homeless 11 0 11 12%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 5 0 5 5%
Veterans 4 0 4 4%
Alcohol Use 7 0 7 7%
Drug Use 11 0 11 12%
PTSD 6 0 6 6%
Mental Health Conditions 13 0 13 14%
Physical Disability 12 0 12 13%
Developmental Disability 6 0 6 6%
Brain Injury 7 0 7 7%
Victim of Domestic Violence 12 0 12 13%
AIDS or HIV 0 0 0 0%
TOTAL 94 0 94 159%
Total Unsheltered Homeless Individuals 31 28 59 100%
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ BLYTHE
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
Ethnicity
Gender
Age
Subpopulations
P a g e | 52
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 0 0 0 0%
Asian 0 0 0 0%
Black or African American 0 0 0 0%
Native Hawaiian, Pacific Islander 0 0 0 0%
White 0 0 0 0%
Multiple Races 0 0 0 0%
Don't Know/ Refused to Answer 0 0 0 0%
Blank 0 0 0 0%
TOTAL 0 0 0 0%
Hispanic or Latino 0 0 0 0%
Not Hispanic or Latino 0 0 0 0%
Blank 0 0 0 0%
TOTAL 0 0 0 0%
Female 0 0 0 0%
Male 0 0 0 0%
Transgender 0 0 0 0%
Do Not Identify 0 0 0 0%
Blank 0 0 0 0%
TOTAL 0 0 0 0%
0‐5 0 0 0 0%
17 or under 0 0 0 0%
18‐24 0 0 0 0%
25‐29 0 0 0 0%
30‐39 0 0 0 0%
40‐49 0 0 0 0%
50‐61 0 0 0 0%
62‐69 0 0 0 0%
70‐79 0 0 0 0%
80+ 0 0 0 0%
Blank 0 0 0 0%
TOTAL 0 0 0 0%
Chronically Homeless 0 0 0 0%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 0 0 0 0%
Veterans 0 0 0 0%
Alcohol Use 0 0 0 0%
Drug Use 0 0 0 0%
PTSD 0 0 0 0%
Mental Health Conditions 0 0 0 0%
Physical Disability 0 0 0 0%
Developmental Disability 0 0 0 0%
Brain Injury 0 0 0 0%
Victim of Domestic Violence 0 0 0 0%
AIDS or HIV 0 0 0 0%
TOTAL 0 0 0 0%
Total Unsheltered Homeless Individuals 0 0 0 0%
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ CALIMESA
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
Ethnicity
Gender
Age
Subpopulations
P a g e | 53
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 0 0 0 0%
Asian 0 0 0 0%
Black or African American 0 0 0 0%
Native Hawaiian, Pacific Islander 0 0 0 0%
White 0 0 0 0%
Multiple Races 0 0 0 0%
Don't Know/ Refused to Answer 0 0 0 0%
Blank 0 0 0 0%
TOTAL 0 0 0 0%
Hispanic or Latino 0 0 0 0%
Not Hispanic or Latino 0 0 0 0%
Blank 0 0 0 0%
TOTAL 0 0 0 0%
Female 0 0 0 0%
Male 0 0 0 0%
Transgender 0 0 0 0%
Do Not Identify 0 0 0 0%
Blank 0 0 0 0%
TOTAL 0 0 0 0%
0‐5 0 0 0 0%
17 or under 0 0 0 0%
18‐24 0 0 0 0%
25‐29 0 0 0 0%
30‐39 0 0 0 0%
40‐49 0 0 0 0%
50‐61 0 0 0 0%
62‐69 0 0 0 0%
70‐79 0 0 0 0%
80+ 0 0 0 0%
Blank 0 0 0 0%
TOTAL 0 0 0 0%
Chronically Homeless 0 0 0 0%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 0 0 0 0%
Veterans 0 0 0 0%
Alcohol Use 0 0 0 0%
Drug Use 0 0 0 0%
PTSD 0 0 0 0%
Mental Health Conditions 0 0 0 0%
Physical Disability 0 0 0 0%
Developmental Disability 0 0 0 0%
Brain Injury 0 0 0 0%
Victim of Domestic Violence 0 0 0 0%
AIDS or HIV 0 0 0 0%
TOTAL 0 0 0 0%
Total Unsheltered Homeless Individuals 0 0 0 0%
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ CANYON LAKE
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
Ethnicity
Gender
Age
Subpopulations
P a g e | 54
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 0 0 0 0%
Asian 2 0 2 5%
Black or African American 0 0 0 0%
Native Hawaiian, Pacific Islander 0 0 0 0%
White 25 3 28 64%
Multiple Races 0 0 0 0%
Don't Know/ Refused to Answer 3 4 7 16%
Blank 7 0 7 16%
TOTAL 37 7 44 100%
Hispanic or Latino 12 3 15 34%
Not Hispanic or Latino 22 1 23 52%
Blank 3 3 6 14%
TOTAL 37 7 44 100%
Female 10 1 11 25%
Male 27 5 32 73%
Transgender 0 0 0 0%
Do Not Identify 0 1 1 2%
Blank 0 0 0 0%
TOTAL 37 7 44 100%
0‐5 0 0 0 0%
17 or under 0 0 0 0%
18‐24 1 2 3 7%
25‐29 6 2 8 18%
30‐39 4 0 4 9%
40‐49 11 0 11 25%
50‐61 13 1 14 32%
62‐69 2 0 2 5%
70‐79 0 0 0 0%
80+ 0 0 0 0%
Blank 0 2 2 5%
TOTAL 37 7 44 100%
Chronically Homeless 15 0 15 13%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 18 0 18 16%
Veterans 5 0 5 4%
Alcohol Use 9 0 9 8%
Drug Use 24 0 24 21%
PTSD 7 0 7 6%
Mental Health Conditions 9 0 9 8%
Physical Disability 6 0 6 5%
Developmental Disability 6 0 6 5%
Brain Injury 6 0 6 5%
Victim of Domestic Violence 7 0 7 6%
AIDS or HIV 2 0 2 2%
TOTAL 114 0 114 259%
Total Unsheltered Homeless Individuals 37 7 44 100%
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ CATHEDRAL CITY
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
Ethnicity
Gender
Age
Subpopulations
P a g e | 55
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 8 0 8 8%
Asian 0 0 0 0%
Black or African American 1 0 1 1%
Native Hawaiian, Pacific Islander 1 0 1 1%
White 45 8 53 56%
Multiple Races 6 0 6 6%
Don't Know/ Refused to Answer 4 10 14 15%
Blank 10 2 12 13%
TOTAL 75 20 95 100%
Hispanic or Latino 31 8 39 48%
Not Hispanic or Latino 26 6 32 40%
Blank 4 6 10 12%
TOTAL 61 20 81 100%
Female 24 8 32 40%
Male 37 9 46 57%
Transgender 0 0 0 0%
Do Not Identify 0 3 3 4%
Blank 0 0 0 0%
TOTAL 61 20 81 100%
0‐5 0 0 0 0%
17 or under 0 0 0 0%
18‐24 1 0 1 1%
25‐29 5 5 10 12%
30‐39 8 9 17 21%
40‐49 22 2 24 30%
50‐61 18 1 19 23%
62‐69 4 1 5 6%
70‐79 0 0 0 0%
80+ 0 0 0 0%
Blank 3 2 5 6%
TOTAL 61 20 81 100%
Chronically Homeless 20 0 20 16%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 6 0 6 5%
Veterans 5 0 5 4%
Alcohol Use 11 0 11 9%
Drug Use 12 0 12 10%
PTSD 10 0 10 8%
Mental Health Conditions 11 0 11 9%
Physical Disability 24 0 24 20%
Developmental Disability 4 0 4 3%
Brain Injury 8 0 8 7%
Victim of Domestic Violence 11 0 11 9%
AIDS or HIV 1 0 1 1%
TOTAL 123 0 123 152%
Total Unsheltered Homeless Individuals 61 20 81 100%
Race
Ethnicity
Gender
Age
Subpopulations
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ COACHELLA
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
P a g e | 56
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 2 0 2 3%
Asian 0 0 0 0%
Black or African American 3 3 6 10%
Native Hawaiian, Pacific Islander 1 0 1 2%
White 25 7 32 53%
Multiple Races 2 0 2 3%
Don't Know/ Refused to Answer 3 7 10 17%
Blank 7 0 7 12%
TOTAL 43 17 60 100%
Hispanic or Latino 17 6 23 41%
Not Hispanic or Latino 21 6 27 48%
Blank 1 5 6 11%
TOTAL 39 17 56 100%
Female 10 5 15 27%
Male 29 11 40 71%
Transgender 0 0 0 0%
Do Not Identify 0 1 1 2%
Blank 0 0 0 0%
TOTAL 39 17 56 100%
0‐5 0 0 0 0%
17 or under 0 1 1 2%
18‐24 2 3 5 9%
25‐29 4 1 5 9%
30‐39 4 4 8 14%
40‐49 7 1 8 14%
50‐61 16 2 18 32%
62‐69 4 1 5 9%
70‐79 0 0 0 0%
80+ 0 0 0 0%
Blank 2 4 6 11%
TOTAL 39 17 56 100%
Chronically Homeless 12 0 12 12%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 8 0 8 8%
Veterans 1 0 1 1%
Alcohol Use 6 0 6 6%
Drug Use 16 0 16 15%
PTSD 8 0 8 8%
Mental Health Conditions 11 0 11 11%
Physical Disability 15 0 15 14%
Developmental Disability 9 0 9 9%
Brain Injury 9 0 9 9%
Victim of Domestic Violence 7 0 7 7%
AIDS or HIV 2 0 2 2%
TOTAL 104 0 104 186%
Total Unsheltered Homeless Individuals 39 17 56 100%
Race
Ethnicity
Gender
Age
Subpopulations
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ CORONA
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
P a g e | 57
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 2 0 2 5%
Asian 0 0 0 0%
Black or African American 2 2 4 9%Native Hawaiian, Pacific Islander 0 0 0 0%
White 20 7 27 63%
Multiple Races 0 0 0 0%
Don't Know/ Refused to Answer 3 0 3 7%
Blank 6 1 7 16%
TOTAL 33 10 43 100%
Hispanic or Latino 12 3 15 35%
Not Hispanic or Latino 20 5 25 58%
Blank 1 2 3 7%
TOTAL 33 10 43 100%
Female 13 2 15 35%
Male 19 8 27 63%
Transgender 0 0 0 0%
Do Not Identify 0 0 0 0%
Blank 1 0 1 2%
TOTAL 33 10 43 100%
0‐5 0 0 0 0%
17 or under 0 0 0 0%
18‐24 6 0 6 14%
25‐29 1 5 6 14%
30‐39 4 1 5 12%
40‐49 7 1 8 19%
50‐61 11 2 13 30%
62‐69 3 0 3 7%
70‐79 1 0 1 2%
80+ 0 0 0 0%
Blank 0 1 1 2%
TOTAL 33 10 43 100%
Chronically Homeless 5 0 5 5%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 5 0 5 5%
Veterans 1 0 1 1%
Alcohol Use 7 0 7 8%
Drug Use 11 0 11 12%
PTSD 15 0 15 16%
Mental Health Conditions 6 0 6 6%
Physical Disability 13 0 13 14%
Developmental Disability 2 0 2 2%
Brain Injury 11 0 11 12%
Victim of Domestic Violence 17 0 17 18%
AIDS or HIV 0 0 0 0%
TOTAL 93 0 93 216%
Total Unsheltered Homeless Individuals 33 10 43 100%
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ DESERT HOT SPRINGS
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
Ethnicity
Gender
Age
Subpopulations
P a g e | 58
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 0 0 0 0%
Asian 0 0 0 0%
Black or African American 0 0 0 0%
Native Hawaiian, Pacific Islander 0 0 0 0%
White 0 0 0 0%
Multiple Races 0 0 0 0%
Don't Know/ Refused to Answer 0 0 0 0%
Blank 0 0 0 0%
TOTAL 0 0 0 0%
Hispanic or Latino 0 0 0 0%
Not Hispanic or Latino 0 0 0 0%
Blank 0 0 0 0%
TOTAL 0 0 0 0%
Female 0 0 0 0%
Male 0 0 0 0%
Transgender 0 0 0 0%
Do Not Identify 0 0 0 0%
Blank 0 0 0 0%
TOTAL 0 0 0 0%
0‐5 0 0 0 0%
17 or under 0 0 0 0%
18‐24 0 0 0 0%
25‐29 0 0 0 0%
30‐39 0 0 0 0%
40‐49 0 0 0 0%
50‐61 0 0 0 0%
62‐69 0 0 0 0%
70‐79 0 0 0 0%
80+ 0 0 0 0%
Blank 0 0 0 0%
TOTAL 0 0 0 0%
Chronically Homeless 0 0 0 0%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 0 0 0 0%
Veterans 0 0 0 0%
Alcohol Use 0 0 0 0%
Drug Use 0 0 0 0%
PTSD 0 0 0 0%
Mental Health Conditions 0 0 0 0%
Physical Disability 0 0 0 0%
Developmental Disability 0 0 0 0%
Brain Injury 0 0 0 0%
Victim of Domestic Violence 0 0 0 0%
AIDS or HIV 0 0 0 0%
TOTAL 0 0 0 0%
Total Unsheltered Homeless Individuals 0 0 0 0%
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ EASTVALE
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
Ethnicity
Gender
Age
Subpopulations
P a g e | 59
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 5 0 5 4%
Asian 0 0 0 0%
Black or African American 10 4 14 11%
Native Hawaiian, Pacific Islander 2 0 2 2%
White 38 15 53 42%
Multiple Races 3 0 3 2%
Don't Know/ Refused to Answer 8 11 19 15%
Blank 6 24 30 24%
TOTAL 72 54 126 100%
Hispanic or Latino 18 12 30 25%
Not Hispanic or Latino 46 27 73 61%
Blank 1 15 16 13%
TOTAL 65 54 119 100%
Female 14 9 23 19%
Male 48 40 88 74%
Transgender 0 0 0 0%
Do Not Identify 0 4 4 3%
Blank 3 1 4 3%
TOTAL 65 54 119 100%
0‐5 0 0 0 0%
17 or under 0 0 0 0%
18‐24 10 11 21 18%
25‐29 2 18 20 17%
30‐39 14 9 23 19%
40‐49 18 3 21 18%
50‐61 14 3 17 14%
62‐69 3 0 3 3%
70‐79 1 0 1 1%
80+ 0 0 0 0%
Blank 3 10 13 11%
TOTAL 65 54 119 100%
Chronically Homeless 15 0 15 8%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 13 0 13 7%
Veterans 8 0 8 4%
Alcohol Use 26 0 26 15%
Drug Use 27 0 27 15%
PTSD 20 0 20 11%
Mental Health Conditions 19 0 19 11%
Physical Disability 15 0 15 8%
Developmental Disability 4 0 4 2%
Brain Injury 17 0 17 9%
Victim of Domestic Violence 15 0 15 8%
AIDS or HIV 0 0 0 0%
TOTAL 179 0 179 150%
Total Unsheltered Homeless Individuals 65 54 119 100%
Gender
Age
Subpopulations
Ethnicity
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ HEMET
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
P a g e | 60
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 0 0 0 0%
Asian 0 0 0 0%
Black or African American 0 0 0 0%
Native Hawaiian, Pacific Islander 0 0 0 0%
White 0 0 0 0%
Multiple Races 0 0 0 0%
Don't Know/ Refused to Answer 0 0 0 0%
Blank 0 0 0 0%
TOTAL 0 0 0 0%
Hispanic or Latino 0 0 0 0%
Not Hispanic or Latino 0 0 0 0%
Blank 0 0 0 0%
TOTAL 0 0 0 0%
Female 0 0 0 0%
Male 0 0 0 0%
Transgender 0 0 0 0%
Do Not Identify 0 0 0 0%
Blank 0 0 0 0%
TOTAL 0 0 0 0%
0‐5 0 0 0 0%
17 or under 0 0 0 0%
18‐24 0 0 0 0%
25‐29 0 0 0 0%
30‐39 0 0 0 0%
40‐49 0 0 0 0%
50‐61 0 0 0 0%
62‐69 0 0 0 0%
70‐79 0 0 0 0%
80+ 0 0 0 0%
Blank 0 0 0 0%
TOTAL 0 0 0 0%
Chronically Homeless 0 0 0 0%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 0 0 0 0%
Veterans 0 0 0 0%
Alcohol Use 0 0 0 0%
Drug Use 0 0 0 0%
PTSD 0 0 0 0%
Mental Health Conditions 0 0 0 0%
Physical Disability 0 0 0 0%
Developmental Disability 0 0 0 0%
Brain Injury 0 0 0 0%
Victim of Domestic Violence 0 0 0 0%
AIDS or HIV 0 0 0 0%
TOTAL 0 0 0 0%
Total Unsheltered Homeless Individuals 0 0 0 0%
Ethnicity
Gender
Age
Subpopulations
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ INDIAN WELLS
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
P a g e | 61
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 2 0 2 2%
Asian 0 0 0 0%
Black or African American 5 0 5 6%
Native Hawaiian, Pacific Islander 1 0 1 1%
White 33 12 45 50%
Multiple Races 1 0 1 1%
Don't Know/ Refused to Answer 12 20 32 36%
Blank 4 0 4 4%
TOTAL 58 32 90 100%
Hispanic or Latino 33 17 50 56%
Not Hispanic or Latino 24 6 30 34%
Blank 0 9 9 10%
TOTAL 57 32 89 100%
Female 18 6 24 27%
Male 39 26 65 73%
Transgender 0 0 0 0%
Do Not Identify 0 0 0 0%
Blank 0 0 0 0%
TOTAL 57 32 89 100%
0‐5 0 0 0 0%
17 or under 0 1 1 1%
18‐24 1 5 6 7%
25‐29 6 5 11 12%
30‐39 7 6 13 15%
40‐49 15 5 20 22%
50‐61 23 6 29 33%
62‐69 1 4 5 6%
70‐79 0 0 0 0%
80+ 0 0 0 0%
Blank 4 0 4 4%
TOTAL 57 32 89 100%
Chronically Homeless 26 0 26 16%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 9 0 9 10%
Veterans 5 0 5 3%
Alcohol Use 13 0 13 8%
Drug Use 29 0 29 18%
PTSD 16 0 16 10%
Mental Health Conditions 10 0 10 6%
Physical Disability 19 0 19 12%
Developmental Disability 8 0 8 5%
Brain Injury 11 0 11 7%
Victim of Domestic Violence 17 0 17 10%
AIDS or HIV 1 0 1 1%
TOTAL 164 0 164 184%
Total Unsheltered Homeless Individuals 57 32 89 100%
Ethnicity
Gender
Age
Subpopulations
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ INDIO
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
P a g e | 62
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 9 0 9 6%
Asian 1 0 1 1%
Black or African American 11 0 11 8%
Native Hawaiian, Pacific Islander 1 0 1 1%
White 69 14 83 59%
Multiple Races 4 0 4 3%
Don't Know/ Refused to Answer 7 7 14 10%
Blank 10 7 17 12%
TOTAL 112 28 140 100%
Hispanic or Latino 34 2 36 28%
Not Hispanic or Latino 65 11 76 60%
Blank 2 13 15 12%
TOTAL 101 26 127 100%
Female 34 2 36 28%
Male 66 20 86 67%
Transgender 1 0 1 1%
Do Not Identify 0 5 5 4%
Blank 0 1 1 1%
TOTAL 101 28 129 100%
0‐5 0 0 0 0%
17 or under 0 1 1 1%
18‐24 3 2 5 4%
25‐29 7 3 10 8%
30‐39 18 6 24 19%
40‐49 28 4 32 25%
50‐61 37 0 37 29%
62‐69 8 2 10 8%
70‐79 0 0 0 0%
80+ 0 0 0 0%
Blank 0 10 10 8%
TOTAL 101 28 129 100%
Chronically Homeless 30 0 30 12%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 14 0 14 11%
Veterans 6 0 6 2%
Alcohol Use 25 0 25 10%
Drug Use 47 0 47 19%
PTSD 27 0 27 11%
Mental Health Conditions 27 0 27 11%
Physical Disability 27 0 27 11%
Developmental Disability 6 0 6 2%
Brain Injury 21 0 21 8%
Victim of Domestic Violence 20 0 20 8%
AIDS or HIV 1 0 1 0%
TOTAL 251 0 251 195%
Total Unsheltered Homeless Individuals 101 28 129 100%
Race
Ethnicity
Gender
Age
Subpopulations
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ JURUPA VALLEY
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
P a g e | 63
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 0 0 0 0%
Asian 0 0 0 0%
Black or African American 0 0 0 0%
Native Hawaiian, Pacific Islander 0 0 0 0%
White 1 1 2 100%
Multiple Races 0 0 0 0%
Don't Know/ Refused to Answer 0 0 0 0%
Blank 0 0 0 0%
TOTAL 1 1 2 100%
Hispanic or Latino 0 0 0 0%
Not Hispanic or Latino 1 1 2 100%
Blank 0 0 0 0%
TOTAL 1 1 2 100%
Female 0 0 0 0%
Male 1 1 2 100%
Transgender 0 0 0 0%
Do Not Identify 0 0 0 0%
Blank 0 0 0 0%
TOTAL 1 1 2 100%
0‐5 0 0 0 0%
17 or under 0 0 0 0%
18‐24 0 0 0 0%
25‐29 0 0 0 0%
30‐39 0 1 1 50%
40‐49 0 0 0 0%
50‐61 1 0 1 50%
62‐69 0 0 0 0%
70‐79 0 0 0 0%
80+ 0 0 0 0%
Blank 0 0 0 0%
TOTAL 1 1 2 100%
Chronically Homeless 0 0 0 0%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 0 0 0 0%
Veterans 0 0 0 0%
Alcohol Use 1 0 1 50%
Drug Use 1 0 1 50%
PTSD 0 0 0 0%
Mental Health Conditions 0 0 0 0%
Physical Disability 0 0 0 0%
Developmental Disability 0 0 0 0%
Brain Injury 0 0 0 0%
Victim of Domestic Violence 0 0 0 0%
AIDS or HIV 0 0 0 0%
TOTAL 2 0 2 100%
Total Unsheltered Homeless Individuals 1 1 2 100%
Race
Ethnicity
Gender
Age
Subpopulations
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ LA QUINTA
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
P a g e | 64
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 6 0 6 9%
Asian 1 0 1 1%
Black or African American 3 1 4 6%
Native Hawaiian, Pacific Islander 1 0 1 1%
White 39 6 45 66%
Multiple Races 3 0 3 4%
Don't Know/ Refused to Answer 2 2 4 6%
Blank 4 0 4 6%
TOTAL 59 9 68 100%
Hispanic or Latino 10 1 11 18%
Not Hispanic or Latino 43 6 49 79%
Blank 0 2 2 3%
TOTAL 53 9 62 100%
Female 15 0 15 24%
Male 38 9 47 76%
Transgender 0 0 0 0%
Do Not Identify 0 0 0 0%
Blank 0 0 0 0%
TOTAL 53 9 62 100%
0‐5 0 0 0 0%
17 or under 0 0 0 0%
18‐24 0 0 0 0%
25‐29 5 3 8 13%
30‐39 15 1 16 26%
40‐49 7 1 8 13%
50‐61 12 0 12 19%
62‐69 9 0 9 15%
70‐79 1 1 2 3%
80+ 1 0 1 2%
Blank 3 3 6 10%
TOTAL 53 9 62 100%
Chronically Homeless 15 0 15 10%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 16 0 16 26%
Veterans 0 0 0 0%
Alcohol Use 15 0 15 10%
Drug Use 24 0 24 16%
PTSD 13 0 13 9%
Mental Health Conditions 15 0 15 10%
Physical Disability 17 0 17 12%
Developmental Disability 8 0 8 5%
Brain Injury 13 0 13 9%
Victim of Domestic Violence 10 0 10 7%
AIDS or HIV 1 0 1 1%
TOTAL 147 0 147 237%
Total Unsheltered Homeless Individuals 53 9 62 100%
Race
Ethnicity
Gender
Age
Subpopulations
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ LAKE ELSINORE
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
P a g e | 65
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 1 0 1 7%
Asian 0 0 0 0%
Black or African American 0 0 0 0%
Native Hawaiian, Pacific Islander 2 0 2 14%
White 4 3 7 50%
Multiple Races 0 0 0 0%
Don't Know/ Refused to Answer 3 1 4 29%
Blank 0 0 0 0%
TOTAL 10 4 14 100%
Hispanic or Latino 2 0 2 14%
Not Hispanic or Latino 8 2 10 71%
Blank 0 2 2 14%
TOTAL 10 4 14 100%
Female 3 2 5 36%
Male 6 2 8 57%
Transgender 1 0 1 7%
Do Not Identify 0 0 0 0%
Blank 0 0 0 0%
TOTAL 10 4 14 100%
0‐5 0 0 0 0%
17 or under 1 0 1 7%
18‐24 2 0 2 14%
25‐29 1 2 3 21%
30‐39 3 0 3 21%
40‐49 2 0 2 14%
50‐61 1 1 2 14%
62‐69 0 1 1 7%
70‐79 0 0 0 0%
80+ 0 0 0 0%
Blank 0 0 0 0%
TOTAL 10 4 14 100%
Chronically Homeless 0 0 0 0%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 4 0 4 29%
Veterans 0 0 0 0%
Alcohol Use 2 0 2 11%
Drug Use 5 0 5 26%
PTSD 0 0 0 0%
Mental Health Conditions 1 0 1 5%
Physical Disability 4 0 4 21%
Developmental Disability 1 0 1 5%
Brain Injury 1 0 1 5%
Victim of Domestic Violence 1 0 1 5%
AIDS or HIV 0 0 0 0%
TOTAL 19 0 19 136%
Total Unsheltered Homeless Individuals 10 4 14 100%
Race
Ethnicity
Gender
Age
Subpopulations
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ MENIFEE
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
P a g e | 66
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 3 0 3 4%
Asian 3 0 3 4%
Black or African American 19 7 26 33%
Native Hawaiian, Pacific Islander 2 0 2 3%
White 20 5 25 32%
Multiple Races 2 0 2 3%
Don't Know/ Refused to Answer 5 4 9 12%
Blank 5 3 8 10%
TOTAL 59 19 78 100%
Hispanic or Latino 13 4 17 23%
Not Hispanic or Latino 38 12 50 68%
Blank 3 3 6 8%
TOTAL 54 19 73 100%
Female 15 3 18 25%
Male 38 15 53 73%
Transgender 1 0 1 1%
Do Not Identify 0 1 1 1%
Blank 0 0 0 0%
TOTAL 54 19 73 100%
0‐5 0 0 0 0%
17 or under 3 0 3 4%
18‐24 11 4 15 21%
25‐29 3 3 6 8%
30‐39 9 4 13 18%
40‐49 9 3 12 16%
50‐61 17 5 22 30%
62‐69 2 0 2 3%
70‐79 0 0 0 0%
80+ 0 0 0 0%
Blank 0 0 0 0%
TOTAL 54 19 73 100%
Chronically Homeless 14 0 14 10%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 10 0 10 14%
Veterans 3 0 3 2%
Alcohol Use 16 0 16 11%
Drug Use 22 0 22 15%
PTSD 11 0 11 8%
Mental Health Conditions 20 0 20 14%
Physical Disability 15 0 15 11%
Developmental Disability 6 0 6 4%
Brain Injury 7 0 7 5%
Victim of Domestic Violence 13 0 13 9%
AIDS or HIV 5 0 5 4%
TOTAL 142 0 142 195%
Total Unsheltered Homeless Individuals 54 19 73 100%
Ethnicity
Gender
Age
Subpopulations
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ MORENO VALLEY
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
P a g e | 67
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 1 0 1 11%
Asian 0 0 0 0%
Black or African American 0 0 0 0%
Native Hawaiian, Pacific Islander 0 0 0 0%
White 5 2 7 78%
Multiple Races 1 0 1 11%
Don't Know/ Refused to Answer 0 0 0 0%
Blank 0 0 0 0%
TOTAL 7 2 9 100%
Hispanic or Latino 0 0 0 0%
Not Hispanic or Latino 5 1 6 86%
Blank 0 1 1 14%
TOTAL 5 2 7 100%
Female 0 0 0 0%
Male 5 2 7 100%
Transgender 0 0 0 0%
Do Not Identify 0 0 0 0%
Blank 0 0 0 0%
TOTAL 5 2 7 100%
0‐5 0 0 0 0%
17 or under 0 0 0 0%
18‐24 1 0 1 14%
25‐29 1 0 1 14%
30‐39 2 0 2 29%
40‐49 1 0 1 14%
50‐61 0 2 2 29%
62‐69 0 0 0 0%
70‐79 0 0 0 0%
80+ 0 0 0 0%
Blank 0 0 0 0%
TOTAL 5 2 7 100%
Chronically Homeless 1 0 1 6%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 3 0 3 43%
Veterans 0 0 0 0%
Alcohol Use 3 0 3 19%
Drug Use 3 0 3 19%
PTSD 1 0 1 6%
Mental Health Conditions 1 0 1 6%
Physical Disability 1 0 1 6%
Developmental Disability 1 0 1 6%
Brain Injury 1 0 1 6%
Victim of Domestic Violence 1 0 1 6%
AIDS or HIV 0 0 0 0%
TOTAL 16 0 16 229%
Total Unsheltered Homeless Individuals 5 2 7 100%
Ethnicity
Gender
Age
Subpopulations
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ MURRIETA
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
P a g e | 68
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 0 0 0 0%
Asian 0 0 0 0%
Black or African American 1 0 1 25%
Native Hawaiian, Pacific Islander 0 0 0 0%
White 2 0 2 50%
Multiple Races 0 0 0 0%
Don't Know/ Refused to Answer 0 1 1 25%
Blank 0 0 0 0%
TOTAL 3 1 4 100%
Hispanic or Latino 0 0 0 0%
Not Hispanic or Latino 3 0 3 75%
Blank 0 1 1 25%
TOTAL 3 1 4 100%
Female 0 0 0 0%
Male 3 1 4 100%
Transgender 0 0 0 0%
Do Not Identify 0 0 0 0%
Blank 0 0 0 0%
TOTAL 3 1 4 100%
0‐5 0 0 0 0%
17 or under 0 0 0 0%
18‐24 2 0 2 50%
25‐29 0 0 0 0%
30‐39 0 0 0 0%
40‐49 0 0 0 0%
50‐61 1 0 1 25%
62‐69 0 0 0 0%
70‐79 0 1 1 25%
80+ 0 0 0 0%
Blank 0 0 0 0%
TOTAL 3 1 4 100%
Chronically Homeless 3 0 3 27%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 0 0 0 0%
Veterans 0 0 0 0%
Alcohol Use 3 0 3 27%
Drug Use 2 0 2 18%
PTSD 0 0 0 0%
Mental Health Conditions 2 0 2 18%
Physical Disability 1 0 1 9%
Developmental Disability 0 0 0 0%
Brain Injury 0 0 0 0%
Victim of Domestic Violence 0 0 0 0%
AIDS or HIV 0 0 0 0%
TOTAL 11 0 11 275%
Total Unsheltered Homeless Individuals 3 1 4 100%
Ethnicity
Gender
Age
Subpopulations
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ NORCO
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
P a g e | 69
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 1 0 1 4%
Asian 0 0 0 0%
Black or African American 2 0 2 7%
Native Hawaiian, Pacific Islander 0 0 0 0%
White 17 7 24 86%
Multiple Races 0 0 0 0%
Don't Know/ Refused to Answer 1 0 1 4%
Blank 0 0 0 0%
TOTAL 21 7 28 100%
Hispanic or Latino 4 2 6 21%
Not Hispanic or Latino 17 5 22 79%
Blank 0 0 0 0%
TOTAL 21 7 28 100%
Female 4 0 4 14%
Male 17 7 24 86%
Transgender 0 0 0 0%
Do Not Identify 0 0 0 0%
Blank 0 0 0 0%
TOTAL 21 7 28 100%
0‐5 0 0 0 0%
17 or under 0 0 0 0%
18‐24 2 1 3 11%
25‐29 3 2 5 18%
30‐39 3 1 4 14%
40‐49 4 1 5 18%
50‐61 7 2 9 32%
62‐69 2 0 2 7%
70‐79 0 0 0 0%
80+ 0 0 0 0%
Blank 0 0 0 0%
TOTAL 21 7 28 100%
Chronically Homeless 7 0 7 10%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 0 0 0 0%
Veterans 3 0 3 4%
Alcohol Use 7 0 7 10%
Drug Use 9 0 9 13%
PTSD 4 0 4 6%
Mental Health Conditions 7 0 7 10%
Physical Disability 14 0 14 20%
Developmental Disability 7 0 7 10%
Brain Injury 5 0 5 7%
Victim of Domestic Violence 7 0 7 10%
AIDS or HIV 0 0 0 0%
TOTAL 70 0 70 250%
Total Unsheltered Homeless Individuals 21 7 28 100%
Ethnicity
Gender
Age
Subpopulations
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ PALM DESERT
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
P a g e | 70
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 10 0 10 6%
Asian 0 0 0 0%
Black or African American 11 2 13 8%
Native Hawaiian, Pacific Islander 1 0 1 1%
White 59 32 91 58%
Multiple Races 7 0 7 4%
Don't Know/ Refused to Answer 18 12 30 19%
Blank 4 2 6 4%
TOTAL 110 48 158 100%
Hispanic or Latino 28 5 33 24%
Not Hispanic or Latino 62 39 101 73%
Blank 0 4 4 3%
TOTAL 90 48 138 100%
Female 29 9 38 28%
Male 61 32 93 67%
Transgender 0 0 0 0%
Do Not Identify 0 6 6 4%
Blank 0 1 1 1%
TOTAL 90 48 138 100%
0‐5 0 0 0 0%
17 or under 2 0 2 1%
18‐24 8 1 9 7%
25‐29 4 7 11 8%
30‐39 11 12 23 17%
40‐49 23 9 32 23%
50‐61 33 6 39 28%
62‐69 5 5 10 7%
70‐79 0 2 2 1%
80+ 2 0 2 1%
Blank 2 6 8 6%
TOTAL 90 48 138 100%
Chronically Homeless 20 0 20 8%
Families with Children 1 0 1 0%
Jail (Within 12 Months) 13 0 13 9%
Veterans 12 0 12 5%
Alcohol Use 19 0 19 8%
Drug Use 29 0 29 12%
PTSD 29 0 29 12%
Mental Health Conditions 25 0 25 10%
Physical Disability 35 0 35 14%
Developmental Disability 9 0 9 4%
Brain Injury 20 0 20 8%
Victim of Domestic Violence 26 0 26 11%
AIDS or HIV 4 0 4 2%
TOTAL 242 0 242 175%
Total Unsheltered Homeless Individuals 90 48 138 100%
Ethnicity
Gender
Age
Subpopulations
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ PALM SPRINGS
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
P a g e | 71
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 1 0 1 3%
Asian 0 0 0 0%
Black or African American 6 1 7 24%
Native Hawaiian, Pacific Islander 0 0 0 0%
White 9 1 10 34%
Multiple Races 2 0 2 7%
Don't Know/ Refused to Answer 2 0 2 7%
Blank 7 0 7 24%
TOTAL 27 2 29 100%
Hispanic or Latino 9 0 9 31%
Not Hispanic or Latino 14 2 16 55%
Blank 4 0 4 14%
TOTAL 27 2 29 100%
Female 3 0 3 10%
Male 24 2 26 90%
Transgender 0 0 0 0%
Do Not Identify 0 0 0 0%
Blank 0 0 0 0%
TOTAL 27 2 29 100%
0‐5 0 0 0 0%
17 or under 0 0 0 0%
18‐24 1 0 1 3%
25‐29 4 1 5 17%
30‐39 6 0 6 21%
40‐49 5 0 5 17%
50‐61 4 1 5 17%
62‐69 4 0 4 14%
70‐79 1 0 1 3%
80+ 1 0 1 3%
Blank 1 0 1 3%
TOTAL 27 2 29 100%
Chronically Homeless 5 0 5 7%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 3 0 3 10%
Veterans 1 0 1 1%
Alcohol Use 4 0 4 6%
Drug Use 9 0 9 13%
PTSD 9 0 9 13%
Mental Health Conditions 8 0 8 12%
Physical Disability 10 0 10 15%
Developmental Disability 5 0 5 7%
Brain Injury 8 0 8 12%
Victim of Domestic Violence 5 0 5 7%
AIDS or HIV 0 0 0 0%
TOTAL 67 0 67 231%
Total Unsheltered Homeless Individuals 27 2 29 100%
Ethnicity
Gender
Age
Subpopulations
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ PERRIS
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
P a g e | 72
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 0 0 0 0%
Asian 0 0 0 0%
Black or African American 0 0 0 0%
Native Hawaiian, Pacific Islander 0 0 0 0%
White 0 0 0 0%
Multiple Races 0 0 0 0%
Don't Know/ Refused to Answer 0 0 0 0%
Blank 0 0 0 0%
TOTAL 0 0 0 0%
Hispanic or Latino 0 0 0 0%
Not Hispanic or Latino 0 0 0 0%
Blank 0 0 0 0%
TOTAL 0 0 0 0%
Female 0 0 0 0%
Male 0 0 0 0%
Transgender 0 0 0 0%
Do Not Identify 0 0 0 0%
Blank 0 0 0 0%
TOTAL 0 0 0 0%
0‐5 0 0 0 0%
17 or under 0 0 0 0%
18‐24 0 0 0 0%
25‐29 0 0 0 0%
30‐39 0 0 0 0%
40‐49 0 0 0 0%
50‐61 0 0 0 0%
62‐69 0 0 0 0%
70‐79 0 0 0 0%
80+ 0 0 0 0%
Blank 0 0 0 0%
TOTAL 0 0 0 0%
Chronically Homeless 0 0 0 0%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 0 0 0 0%
Veterans 0 0 0 0%
Alcohol Use 0 0 0 0%
Drug Use 0 0 0 0%
PTSD 0 0 0 0%
Mental Health Conditions 0 0 0 0%
Physical Disability 0 0 0 0%
Developmental Disability 0 0 0 0%
Brain Injury 0 0 0 0%
Victim of Domestic Violence 0 0 0 0%
AIDS or HIV 0 0 0 0%
TOTAL 0 0 0 0%
Total Unsheltered Homeless Individuals 0 0 0 0%
Ethnicity
Gender
Age
Subpopulations
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ RANCHO MIRAGE
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
P a g e | 73
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 14 4 18 4%
Asian 1 2 3 1%
Black or African American 34 20 54 13%
Native Hawaiian, Pacific Islander 4 1 5 1%
White 145 63 208 51%
Multiple Races 10 0 10 2%
Don't Know/ Refused to Answer 12 54 66 16%
Blank 33 14 47 11%
TOTAL 253 158 411 100%
Hispanic or Latino 77 24 101 26%
Not Hispanic or Latino 141 69 210 54%
Blank 13 65 78 20%
TOTAL 231 158 389 100%
Female 74 40 114 29%
Male 149 99 248 64%
Transgender 4 0 4 1%
Do Not Identify 2 0 2 1%
Blank 2 19 21 5%
TOTAL 231 158 389 100%
0‐5 0 0 0 0%
17 or under 2 1 3 1%
18‐24 46 28 74 19%
25‐29 21 32 53 14%
30‐39 36 22 58 15%
40‐49 40 22 62 16%
50‐61 60 14 74 19%
62‐69 12 11 23 6%
70‐79 2 0 2 1%
80+ 1 0 1 0%
Blank 11 28 39 10%
TOTAL 231 158 389 100%
Chronically Homeless 73 0 73 11%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 32 0 32 8%
Veterans 21 0 21 3%
Alcohol Use 66 0 66 10%
Drug Use 107 0 107 16%
PTSD 48 0 48 7%
Mental Health Conditions 83 0 83 13%
Physical Disability 75 0 75 12%
Developmental Disability 37 0 37 6%
Brain Injury 42 0 42 6%
Victim of Domestic Violence 65 0 65 10%
AIDS or HIV 3 0 3 0%
TOTAL 652 0 652 168%
Total Unsheltered Homeless Individuals 231 158 389 100%
Ethnicity
Gender
Age
Subpopulations
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ RIVERSIDE
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
P a g e | 74
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 2 0 2 6%
Asian 0 0 0 0%
Black or African American 2 1 3 9%
Native Hawaiian, Pacific Islander 1 0 1 3%
White 14 1 15 45%
Multiple Races 1 0 1 3%
Don't Know/ Refused to Answer 1 0 1 3%
Blank 4 6 10 30%
TOTAL 25 8 33 100%
Hispanic or Latino 3 4 7 23%
Not Hispanic or Latino 18 2 20 65%
Blank 2 2 4 13%
TOTAL 23 8 31 100%
Female 5 1 6 19%
Male 17 7 24 77%
Transgender 0 0 0 0%
Do Not Identify 0 0 0 0%
Blank 1 0 1 3%
TOTAL 23 8 31 100%
0‐5 0 0 0 0%
17 or under 0 0 0 0%
18‐24 4 1 5 16%
25‐29 3 4 7 23%
30‐39 6 1 7 23%
40‐49 3 2 5 16%
50‐61 5 0 5 16%
62‐69 1 0 1 3%
70‐79 0 0 0 0%
80+ 0 0 0 0%
Blank 1 0 1 3%
TOTAL 23 8 31 100%
Chronically Homeless 8 0 8 15%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 5 0 5 16%
Veterans 1 0 1 2%
Alcohol Use 1 0 1 2%
Drug Use 12 0 12 22%
PTSD 4 0 4 7%
Mental Health Conditions 5 0 5 9%
Physical Disability 3 0 3 6%
Developmental Disability 5 0 5 9%
Brain Injury 5 0 5 9%
Victim of Domestic Violence 5 0 5 9%
AIDS or HIV 0 0 0 0%
TOTAL 54 0 54 174%
Total Unsheltered Homeless Individuals 23 8 31 100%
Ethnicity
Gender
Age
Subpopulations
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ SAN JACINTO
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
P a g e | 75
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 3 1 4 4%
Asian 0 0 0 0%
Black or African American 7 2 9 10%
Native Hawaiian, Pacific Islander 1 0 1 1%
White 46 6 52 58%
Multiple Races 2 0 2 2%
Don't Know/ Refused to Answer 4 7 11 12%
Blank 9 2 11 12%
TOTAL 72 18 90 100%
Hispanic or Latino 12 2 14 16%
Not Hispanic or Latino 51 8 59 69%
Blank 4 8 12 14%
TOTAL 67 18 85 100%
Female 21 4 25 29%
Male 46 13 59 69%
Transgender 0 0 0 0%
Do Not Identify 0 1 1 1%
Blank 0 0 0 0%
TOTAL 67 18 85 100%
0‐5 0 0 0 0%
17 or under 0 0 0 0%
18‐24 7 2 9 10%
25‐29 8 6 14 16%
30‐39 21 2 23 26%
40‐49 9 3 12 13%
50‐61 14 5 19 21%
62‐69 6 0 6 7%
70‐79 1 0 1 1%
80+ 1 0 1 1%
Blank 4 0 4 4%
TOTAL 71 18 89 100%
Chronically Homeless 21 0 21 13%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 19 0 19 21%
Veterans 6 0 6 4%
Alcohol Use 17 0 17 10%
Drug Use 25 0 25 15%
PTSD 20 0 20 12%
Mental Health Conditions 10 0 10 6%
Physical Disability 18 0 18 11%
Developmental Disability 3 0 3 2%
Brain Injury 8 0 8 5%
Victim of Domestic Violence 17 0 17 10%
AIDS or HIV 0 0 0 0%
TOTAL 164 0 164 184%
Total Unsheltered Homeless Individuals 71 18 89 100%
Ethnicity
Gender
Age
Subpopulations
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ TEMECULA
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
P a g e | 76
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 0 0 0 0%
Asian 0 0 0 0%
Black or African American 0 0 0 0%
Native Hawaiian, Pacific Islander 0 0 0 0%
White 4 0 4 67%
Multiple Races 0 0 0 0%
Don't Know/ Refused to Answer 0 2 2 33%
Blank 0 0 0 0%
TOTAL 4 2 6 100%
Hispanic or Latino 0 0 0 0%
Not Hispanic or Latino 2 0 2 33%
Blank 2 2 4 67%
TOTAL 4 2 6 100%
Female 2 0 2 33%
Male 2 2 4 67%
Transgender 0 0 0 0%
Do Not Identify 0 0 0 0%
Blank 0 0 0 0%
TOTAL 4 2 6 100%
0‐5 0 0 0 0%
17 or under 0 0 0 0%
18‐24 0 0 0 0%
25‐29 1 0 1 17%
30‐39 1 1 2 33%
40‐49 0 0 0 0%
50‐61 1 1 2 33%
62‐69 1 0 1 17%
70‐79 0 0 0 0%
80+ 0 0 0 0%
Blank 0 0 0 0%
TOTAL 4 2 6 100%
Chronically Homeless 1 0 1 20%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 0 0 0 0%
Veterans 0 0 0 0%
Alcohol Use 0 0 0 0%
Drug Use 0 0 0 0%
PTSD 1 0 1 20%
Mental Health Conditions 0 0 0 0%
Physical Disability 1 0 1 20%
Developmental Disability 0 0 0 0%
Brain Injury 0 0 0 0%
Victim of Domestic Violence 2 0 2 40%
AIDS or HIV 0 0 0 0%
TOTAL 5 0 5 83%
Total Unsheltered Homeless Individuals 4 2 6 100%
Ethnicity
Gender
Age
Subpopulations
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ WILDOMAR
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
P a g e | 77
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Appendix C: County Unincorporated Communities
Summary Tables
(PIT Count greater than zero)
P a g e | 78
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 0 0 0 0%
Asian 0 0 0 0%
Black or African American 0 0 0 0%
Native Hawaiian, Pacific Islander 0 0 0 0%
White 10 0 10 100%
Multiple Races 0 0 0 0%
Don't Know/ Refused to Answer 0 0 0 0%
Blank 0 0 0 0%
TOTAL 10 0 10 100%
Hispanic or Latino 1 0 1 10%
Not Hispanic or Latino 8 0 8 80%
Blank 1 0 1 10%
TOTAL 10 0 10 100%
Female 1 0 1 10%
Male 9 0 9 90%
Transgender 0 0 0 0%
Do Not Identify 0 0 0 0%
Blank 0 0 0 0%
TOTAL 10 0 10 100%
0‐5 0 0 0 0%
17 or under 0 0 0 0%
18‐24 0 0 0 0%
25‐29 0 0 0 0%
30‐39 3 0 3 30%
40‐49 1 0 1 10%
50‐61 6 0 6 60%
62‐69 0 0 0 0%
70‐79 0 0 0 0%
80+ 0 0 0 0%
Blank 0 0 0 0%
TOTAL 10 0 10 100%
Chronically Homeless 6 0 6 21%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 3 0 3 10%
Veterans 1 0 1 3%
Alcohol Use 2 0 2 7%
Drug Use 4 0 4 14%
PTSD 0 0 0 0%
Mental Health Conditions 2 0 2 7%
Physical Disability 5 0 5 17%
Developmental Disability 2 0 2 7%
Brain Injury 2 0 2 7%
Victim of Domestic Violence 2 0 2 7%
AIDS or HIV 0 0 0 0%
TOTAL 29 0 29 290%
Total Unsheltered Homeless Individuals 10 0 10 100%
Ethnicity
Gender
Age
Subpopulations
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ BERMUDA DUNES
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
P a g e | 79
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 0 0 0 0%
Asian 0 0 0 0%
Black or African American 0 0 0 0%
Native Hawaiian, Pacific Islander 0 0 0 0%
White 1 0 1 100%
Multiple Races 0 0 0 0%
Don't Know/ Refused to Answer 0 0 0 0%
Blank 0 0 0 0%
TOTAL 1 0 1 100%
Hispanic or Latino 0 0 0 0%
Not Hispanic or Latino 1 0 1 100%
Blank 0 0 0 0%
TOTAL 1 0 1 100%
Female 0 0 0 0%
Male 1 0 1 100%
Transgender 0 0 0 0%
Do Not Identify 0 0 0 0%
Blank 0 0 0 0%
TOTAL 1 0 1 100%
0‐5 0 0 0 0%
17 or under 0 0 0 0%
18‐24 0 0 0 0%
25‐29 0 0 0 0%
30‐39 0 0 0 0%
40‐49 0 0 0 0%
50‐61 1 0 1 100%
62‐69 0 0 0 0%
70‐79 0 0 0 0%
80+ 0 0 0 0%
Blank 0 0 0 0%
TOTAL 1 0 1 100%
Chronically Homeless 0 0 0 0%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 0 0 0 0%
Veterans 0 0 0 0%
Alcohol Use 0 0 0 0%
Drug Use 0 0 0 0%
PTSD 0 0 0 0%
Mental Health Conditions 0 0 0 0%
Physical Disability 1 0 1 100%
Developmental Disability 0 0 0 0%
Brain Injury 0 0 0 0%
Victim of Domestic Violence 0 0 0 0%
AIDS or HIV 0 0 0 0%
TOTAL 1 0 1 100%
Total Unsheltered Homeless Individuals 1 0 1 100%
Ethnicity
Gender
Age
Subpopulations
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ CABAZON
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
P a g e | 80
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 0 0 0 0%
Asian 0 0 0 0%
Black or African American 0 0 0 0%
Native Hawaiian, Pacific Islander 0 0 0 0%
White 1 0 1 100%
Multiple Races 0 0 0 0%
Don't Know/ Refused to Answer 0 0 0 0%
Blank 0 0 0 0%
TOTAL 1 0 1 100%
Hispanic or Latino 0 0 0 0%
Not Hispanic or Latino 1 0 1 100%
Blank 0 0 0 0%
TOTAL 1 0 1 100%
Female 0 0 0 0%
Male 1 0 1 100%
Transgender 0 0 0 0%
Do Not Identify 0 0 0 0%
Blank 0 0 0 0%
TOTAL 1 0 1 100%
0‐5 0 0 0 0%
17 or under 0 0 0 0%
18‐24 0 0 0 0%
25‐29 0 0 0 0%
30‐39 0 0 0 0%
40‐49 0 0 0 0%
50‐61 0 0 0 0%
62‐69 1 0 1 100%
70‐79 0 0 0 0%
80+ 0 0 0 0%
Blank 0 0 0 0%
TOTAL 1 0 1 100%
Chronically Homeless 0 0 0 0%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 0 0 0 0%
Veterans 0 0 0 0%
Alcohol Use 1 0 1 25%
Drug Use 0 0 0 0%
PTSD 0 0 0 0%
Mental Health Conditions 1 0 1 25%
Physical Disability 1 0 1 25%
Developmental Disability 0 0 0 0%
Brain Injury 1 0 1 25%
Victim of Domestic Violence 0 0 0 0%
AIDS or HIV 0 0 0 0%
TOTAL 4 0 4 400%
Total Unsheltered Homeless Individuals 1 0 1 100%
Ethnicity
Gender
Age
Subpopulations
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ CACTUS CITY
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
P a g e | 81
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 0 0 0 0%
Asian 0 0 0 0%
Black or African American 0 0 0 0%
Native Hawaiian, Pacific Islander 1 0 1 100%
White 0 0 0 0%
Multiple Races 0 0 0 0%
Don't Know/ Refused to Answer 0 0 0 0%
Blank 0 0 0 0%
TOTAL 1 0 1 100%
Hispanic or Latino 1 0 1 100%
Not Hispanic or Latino 0 0 0 0%
Blank 0 0 0 0%
TOTAL 1 0 1 100%
Female 0 0 0 0%
Male 1 0 1 100%
Transgender 0 0 0 0%
Do Not Identify 0 0 0 0%
Blank 0 0 0 0%
TOTAL 1 0 1 100%
0‐5 0 0 0 0%
17 or under 0 0 0 0%
18‐24 0 0 0 0%
25‐29 0 0 0 0%
30‐39 0 0 0 0%
40‐49 0 0 0 0%
50‐61 1 0 1 100%
62‐69 0 0 0 0%
70‐79 0 0 0 0%
80+ 0 0 0 0%
Blank 0 0 0 0%
TOTAL 1 0 1 100%
Chronically Homeless 1 0 1 20%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 0 0 0 0%
Veterans 1 0 1 20%
Alcohol Use 1 0 1 20%
Drug Use 0 0 0 0%
PTSD 0 0 0 0%
Mental Health Conditions 0 0 0 0%
Physical Disability 1 0 1 20%
Developmental Disability 0 0 0 0%
Brain Injury 0 0 0 0%
Victim of Domestic Violence 1 0 1 20%
AIDS or HIV 0 0 0 0%
TOTAL 5 0 5 500%
Total Unsheltered Homeless Individuals 1 0 1 100%
Ethnicity
Gender
Age
Subpopulations
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ CHERRY VALLEY
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
P a g e | 82
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 0 0 0 0%
Asian 0 0 0 0%
Black or African American 0 0 0 0%
Native Hawaiian, Pacific Islander 0 0 0 0%
White 0 1 1 20%
Multiple Races 0 0 0 0%
Don't Know/ Refused to Answer 0 4 4 80%
Blank 0 0 0 0%
TOTAL 0 5 5 100%
Hispanic or Latino 0 1 1 20%
Not Hispanic or Latino 0 0 0 0%
Blank 0 4 4 80%
TOTAL 0 5 5 100%
Female 0 0 0 0%
Male 0 2 2 40%
Transgender 0 0 0 0%
Do Not Identify 0 3 3 60%
Blank 0 0 0 0%
TOTAL 0 5 5 100%
0‐5 0 0 0 0%
17 or under 0 0 0 0%
18‐24 0 0 0 0%
25‐29 0 5 5 100%
30‐39 0 0 0 0%
40‐49 0 0 0 0%
50‐61 0 0 0 0%
62‐69 0 0 0 0%
70‐79 0 0 0 0%
80+ 0 0 0 0%
Blank 0 0 0 0%
TOTAL 0 5 5 100%
Chronically Homeless 0 0 0 0%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 0 0 0 0%
Veterans 0 0 0 0%
Alcohol Use 0 0 0 0%
Drug Use 0 0 0 0%
PTSD 0 0 0 0%
Mental Health Conditions 0 0 0 0%
Physical Disability 0 0 0 0%
Developmental Disability 0 0 0 0%
Brain Injury 0 0 0 0%
Victim of Domestic Violence 0 0 0 0%
AIDS or HIV 0 0 0 0%
TOTAL 0 0 0 0%
Total Unsheltered Homeless Individuals 0 5 5 100%
Ethnicity
Gender
Age
Subpopulations
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ CORONITA
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
P a g e | 83
Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 0 0 0 0%
Asian 0 0 0 0%
Black or African American 0 2 2 40%
Native Hawaiian, Pacific Islander 0 0 0 0%
White 1 2 3 60%
Multiple Races 0 0 0 0%
Don't Know/ Refused to Answer 0 0 0 0%
Blank 0 0 0 0%
TOTAL 1 4 5 100%
Hispanic or Latino 0 2 2 40%
Not Hispanic or Latino 1 2 3 60%
Blank 0 0 0 0%
TOTAL 1 4 5 100%
Female 0 1 1 20%
Male 1 3 4 80%
Transgender 0 0 0 0%
Do Not Identify 0 0 0 0%
Blank 0 0 0 0%
TOTAL 1 4 5 100%
0‐5 0 0 0 0%
17 or under 0 0 0 0%
18‐24 0 0 0 0%
25‐29 0 2 2 40%
30‐39 0 0 0 0%
40‐49 0 1 1 20%
50‐61 1 1 2 40%
62‐69 0 0 0 0%
70‐79 0 0 0 0%
80+ 0 0 0 0%
Blank 0 0 0 0%
TOTAL 1 4 5 100%
Chronically Homeless 0 0 0 0%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 0 0 0 0%
Veterans 0 0 0 0%
Alcohol Use 0 0 0 0%
Drug Use 1 0 1 100%
PTSD 0 0 0 0%
Mental Health Conditions 0 0 0 0%
Physical Disability 0 0 0 0%
Developmental Disability 0 0 0 0%
Brain Injury 0 0 0 0%
Victim of Domestic Violence 0 0 0 0%
AIDS or HIV 0 0 0 0%
TOTAL 1 0 1 20%
Total Unsheltered Homeless Individuals 1 4 5 100%
Ethnicity
Gender
Age
Subpopulations
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ HIGHGROVE
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
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Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 0 0 0 0%
Asian 0 0 0 0%
Black or African American 0 0 0 0%
Native Hawaiian, Pacific Islander 0 0 0 0%
White 0 0 0 0%
Multiple Races 0 0 0 0%
Don't Know/ Refused to Answer 0 1 1 100%
Blank 0 0 0 0%
TOTAL 0 1 1 100%
Hispanic or Latino 0 0 0 0%
Not Hispanic or Latino 0 1 1 100%
Blank 0 0 0 0%
TOTAL 0 1 1 100%
Female 0 0 0 0%
Male 0 0 0 0%
Transgender 0 0 0 0%
Do Not Identify 0 1 1 100%
Blank 0 0 0 0%
TOTAL 0 1 1 100%
0‐5 0 0 0 0%
17 or under 0 0 0 0%
18‐24 0 0 0 0%
25‐29 0 0 0 0%
30‐39 0 0 0 0%
40‐49 0 1 1 100%
50‐61 0 0 0 0%
62‐69 0 0 0 0%
70‐79 0 0 0 0%
80+ 0 0 0 0%
Blank 0 0 0 0%
TOTAL 0 1 1 100%
Chronically Homeless 0 0 0 0%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 0 0 0 0%
Veterans 0 0 0 0%
Alcohol Use 0 0 0 0%
Drug Use 0 0 0 0%
PTSD 0 0 0 0%
Mental Health Conditions 0 0 0 0%
Physical Disability 0 0 0 0%
Developmental Disability 0 0 0 0%
Brain Injury 0 0 0 0%
Victim of Domestic Violence 0 0 0 0%
AIDS or HIV 0 0 0 0%
TOTAL 0 0 0 0%
Total Unsheltered Homeless Individuals 0 1 1 100%
Ethnicity
Gender
Age
Subpopulations
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ HOME GARDENS
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
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Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 0 0 0 0%
Asian 0 0 0 0%
Black or African American 0 0 0 0%
Native Hawaiian, Pacific Islander 0 0 0 0%
White 7 1 8 80%
Multiple Races 0 0 0 0%
Don't Know/ Refused to Answer 1 1 2 20%
Blank 0 0 0 0%
TOTAL 8 2 10 100%
Hispanic or Latino 0 0 0 0%
Not Hispanic or Latino 8 1 9 90%
Blank 0 1 1 10%
TOTAL 8 2 10 100%
Female 1 0 1 10%
Male 6 2 8 80%
Transgender 1 0 1 10%
Do Not Identify 0 0 0 0%
Blank 0 0 0 0%
TOTAL 8 2 10 100%
0‐5 0 0 0 0%
17 or under 0 0 0 0%
18‐24 0 1 1 10%
25‐29 0 0 0 0%
30‐39 3 0 3 30%
40‐49 2 0 2 20%
50‐61 2 0 2 20%
62‐69 0 0 0 0%
70‐79 0 0 0 0%
80+ 0 0 0 0%
Blank 1 1 2 20%
TOTAL 8 2 10 100%
Chronically Homeless 3 0 3 25%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 1 0 1 8%
Veterans 0 0 0 0%
Alcohol Use 3 0 3 25%
Drug Use 2 0 2 17%
PTSD 0 0 0 0%
Mental Health Conditions 0 0 0 0%
Physical Disability 1 0 1 8%
Developmental Disability 1 0 1 8%
Brain Injury 1 0 1 8%
Victim of Domestic Violence 0 0 0 0%
AIDS or HIV 0 0 0 0%
TOTAL 12 0 12 120%
Total Unsheltered Homeless Individuals 8 2 10 100%
Ethnicity
Gender
Age
Subpopulations
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ IDYLLWILD
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
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Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 0 0 0 0%
Asian 0 0 0 0%
Black or African American 1 0 1 11%
Native Hawaiian, Pacific Islander 0 0 0 0%
White 7 0 7 78%
Multiple Races 0 0 0 0%
Don't Know/ Refused to Answer 1 0 1 11%
Blank 0 0 0 0%
TOTAL 9 0 9 100%
Hispanic or Latino 4 0 4 44%
Not Hispanic or Latino 5 0 5 56%
Blank 0 0 0 0%
TOTAL 9 0 9 100%
Female 4 0 4 44%
Male 5 0 5 56%
Transgender 0 0 0 0%
Do Not Identify 0 0 0 0%
Blank 0 0 0 0%
TOTAL 9 0 9 100%
0‐5 0 0 0 0%
17 or under 0 0 0 0%
18‐24 0 0 0 0%
25‐29 1 0 1 11%
30‐39 1 0 1 11%
40‐49 5 0 5 56%
50‐61 1 0 1 11%
62‐69 1 0 1 11%
70‐79 0 0 0 0%
80+ 0 0 0 0%
Blank 0 0 0 0%
TOTAL 9 0 9 100%
Chronically Homeless 1 0 1 10%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 0 0 0 0%
Veterans 0 0 0 0%
Alcohol Use 0 0 0 0%
Drug Use 1 0 1 10%
PTSD 1 0 1 10%
Mental Health Conditions 1 0 1 10%
Physical Disability 2 0 2 20%
Developmental Disability 1 0 1 10%
Brain Injury 1 0 1 10%
Victim of Domestic Violence 2 0 2 20%
AIDS or HIV 0 0 0 0%
TOTAL 10 0 10 111%
Total Unsheltered Homeless Individuals 9 0 9 100%
Ethnicity
Gender
Age
Subpopulations
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ LAKELAND VILLAGE
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
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Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 0 0 0 0%
Asian 0 0 0 0%
Black or African American 4 1 5 36%
Native Hawaiian, Pacific Islander 1 0 1 7%
White 5 1 6 43%
Multiple Races 0 0 0 0%
Don't Know/ Refused to Answer 2 0 2 14%
Blank 0 0 0 0%
TOTAL 12 2 14 100%
Hispanic or Latino 4 0 4 29%
Not Hispanic or Latino 7 2 9 64%
Blank 1 0 1 7%
TOTAL 12 2 14 100%
Female 5 0 5 36%
Male 7 2 9 64%
Transgender 0 0 0 0%
Do Not Identify 0 0 0 0%
Blank 0 0 0 0%
TOTAL 12 2 14 100%
0‐5 0 0 0 0%
17 or under 1 0 1 7%
18‐24 1 0 1 7%
25‐29 0 0 0 0%
30‐39 1 0 1 7%
40‐49 4 1 5 36%
50‐61 3 1 4 29%
62‐69 1 0 1 7%
70‐79 0 0 0 0%
80+ 0 0 0 0%
Blank 1 0 1 7%
TOTAL 12 2 14 100%
Chronically Homeless 7 0 7 18%
Families with Children 1 0 1 3%
Jail (Within 12 Months) 3 0 3 8%
Veterans 0 0 0 0%
Alcohol Use 1 0 1 3%
Drug Use 7 0 7 18%
PTSD 6 0 6 15%
Mental Health Conditions 4 0 4 10%
Physical Disability 4 0 4 10%
Developmental Disability 0 0 0 0%
Brain Injury 1 0 1 3%
Victim of Domestic Violence 5 0 5 13%
AIDS or HIV 0 0 0 0%
TOTAL 39 0 39 279%
Total Unsheltered Homeless Individuals 12 2 14 100%
Ethnicity
Gender
Age
Subpopulations
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ MEAD VALLEY
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
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Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 0 0 0 0%
Asian 0 0 0 0%
Black or African American 0 0 0 0%
Native Hawaiian, Pacific Islander 0 0 0 0%
White 5 2 7 47%
Multiple Races 0 0 0 0%
Don't Know/ Refused to Answer 3 0 3 20%
Blank 5 0 5 33%
TOTAL 13 2 15 100%
Hispanic or Latino 13 1 14 93%
Not Hispanic or Latino 0 1 1 7%
Blank 0 0 0 0%
TOTAL 13 2 15 100%
Female 3 2 5 33%
Male 10 0 10 67%
Transgender 0 0 0 0%
Do Not Identify 0 0 0 0%
Blank 0 0 0 0%
TOTAL 13 2 15 100%
0‐5 0 0 0 0%
17 or under 2 0 2 13%
18‐24 0 0 0 0%
25‐29 1 0 1 7%
30‐39 4 0 4 27%
40‐49 2 2 4 27%
50‐61 4 0 4 27%
62‐69 0 0 0 0%
70‐79 0 0 0 0%
80+ 0 0 0 0%
Blank 0 0 0 0%
TOTAL 13 2 15 100%
Chronically Homeless 0 0 0 0%
Families with Children 1 0 1 6%
Jail (Within 12 Months) 2 0 2 13%
Veterans 0 0 0 0%
Alcohol Use 6 0 6 38%
Drug Use 3 0 3 19%
PTSD 0 0 0 0%
Mental Health Conditions 1 0 1 6%
Physical Disability 2 0 2 13%
Developmental Disability 0 0 0 0%
Brain Injury 0 0 0 0%
Victim of Domestic Violence 1 0 1 6%
AIDS or HIV 0 0 0 0%
TOTAL 16 0 16 107%
Total Unsheltered Homeless Individuals 13 2 15 100%
Ethnicity
Gender
Age
Subpopulations
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ MECCA
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
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Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 0 0 0 0%
Asian 0 0 0 0%
Black or African American 0 0 0 0%
Native Hawaiian, Pacific Islander 0 0 0 0%
White 3 1 4 80%
Multiple Races 0 0 0 0%
Don't Know/ Refused to Answer 0 0 0 0%
Blank 1 0 1 20%
TOTAL 4 1 5 100%
Hispanic or Latino 1 0 1 20%
Not Hispanic or Latino 3 1 4 80%
Blank 0 0 0 0%
TOTAL 4 1 5 100%
Female 1 0 1 20%
Male 3 1 4 80%
Transgender 0 0 0 0%
Do Not Identify 0 0 0 0%
Blank 0 0 0 0%
TOTAL 4 1 5 100%
0‐5 0 0 0 0%
17 or under 0 0 0 0%
18‐24 0 0 0 0%
25‐29 0 0 0 0%
30‐39 0 0 0 0%
40‐49 1 1 2 40%
50‐61 2 0 2 40%
62‐69 0 0 0 0%
70‐79 0 0 0 0%
80+ 0 0 0 0%
Blank 1 0 1 20%
TOTAL 4 1 5 100%
Chronically Homeless 2 0 2 15%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 0 0 0 0%
Veterans 0 0 0 0%
Alcohol Use 2 0 2 15%
Drug Use 1 0 1 8%
PTSD 1 0 1 8%
Mental Health Conditions 1 0 1 8%
Physical Disability 4 0 4 31%
Developmental Disability 0 0 0 0%
Brain Injury 0 0 0 0%
Victim of Domestic Violence 2 0 2 15%
AIDS or HIV 0 0 0 0%
TOTAL 13 0 13 260%
Total Unsheltered Homeless Individuals 4 1 5 100%
Ethnicity
Gender
Age
Subpopulations
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ ROMOLAND
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
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Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 0 0 0 0%
Asian 0 0 0 0%
Black or African American 0 0 0 0%
Native Hawaiian, Pacific Islander 0 0 0 0%
White 0 1 1 100%
Multiple Races 0 0 0 0%
Don't Know/ Refused to Answer 0 0 0 0%
Blank 0 0 0 0%
TOTAL 0 1 1 100%
Hispanic or Latino 0 0 0 0%
Not Hispanic or Latino 0 0 0 0%
Blank 0 1 1 100%
TOTAL 0 1 1 100%
Female 0 1 1 100%
Male 0 0 0 0%
Transgender 0 0 0 0%
Do Not Identify 0 0 0 0%
Blank 0 0 0 0%
TOTAL 0 1 1 100%
0‐5 0 0 0 0%
17 or under 0 0 0 0%
18‐24 0 0 0 0%
25‐29 0 0 0 0%
30‐39 0 1 1 100%
40‐49 0 0 0 0%
50‐61 0 0 0 0%
62‐69 0 0 0 0%
70‐79 0 0 0 0%
80+ 0 0 0 0%
Blank 0 0 0 0%
TOTAL 0 1 1 100%
Chronically Homeless 0 0 0 0%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 0 0 0 0%
Veterans 0 0 0 0%
Alcohol Use 0 0 0 0%
Drug Use 0 0 0 0%
PTSD 0 0 0 0%
Mental Health Conditions 0 0 0 0%
Physical Disability 0 0 0 0%
Developmental Disability 0 0 0 0%
Brain Injury 0 0 0 0%
Victim of Domestic Violence 0 0 0 0%
AIDS or HIV 0 0 0 0%
TOTAL 0 0 0 0%
Total Unsheltered Homeless Individuals 0 4 4 100%
Ethnicity
Gender
Age
Subpopulations
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ TEMESCAL VALLEY
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
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Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 0 0 0 0%
Asian 0 0 0 0%
Black or African American 0 0 0 0%
Native Hawaiian, Pacific Islander 0 0 0 0%
White 1 0 1 100%
Multiple Races 0 0 0 0%
Don't Know/ Refused to Answer 0 0 0 0%
Blank 0 0 0 0%
TOTAL 1 0 1 100%
Hispanic or Latino 1 0 1 100%
Not Hispanic or Latino 0 0 0 0%
Blank 0 0 0 0%
TOTAL 1 0 1 100%
Female 0 0 0 0%
Male 1 0 1 100%
Transgender 0 0 0 0%
Do Not Identify 0 0 0 0%
Blank 0 0 0 0%
TOTAL 1 0 1 100%
0‐5 0 0 0 0%
17 or under 0 0 0 0%
18‐24 0 0 0 0%
25‐29 0 0 0 0%
30‐39 0 0 0 0%
40‐49 1 0 1 100%
50‐61 0 0 0 0%
62‐69 0 0 0 0%
70‐79 0 0 0 0%
80+ 0 0 0 0%
Blank 0 0 0 0%
TOTAL 1 0 1 100%
Chronically Homeless 0 0 0 0%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 0 0 0 0%
Veterans 0 0 0 0%
Alcohol Use 0 0 0 0%
Drug Use 0 0 0 0%
PTSD 0 0 0 0%
Mental Health Conditions 0 0 0 0%
Physical Disability 0 0 0 0%
Developmental Disability 0 0 0 0%
Brain Injury 0 0 0 0%
Victim of Domestic Violence 0 0 0 0%
AIDS or HIV 0 0 0 0%
TOTAL 0 0 0 0%
Total Unsheltered Homeless Individuals 1 0 1 100%
Ethnicity
Gender
Age
Subpopulations
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ THERMAL
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
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Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 2 0 2 10%
Asian 0 0 0 0%
Black or African American 3 3 6 30%
Native Hawaiian, Pacific Islander 0 0 0 0%
White 9 1 10 50%
Multiple Races 1 0 1 5%
Don't Know/ Refused to Answer 0 1 1 5%
Blank 0 0 0 0%
TOTAL 15 5 20 100%
Hispanic or Latino 0 0 0 0%
Not Hispanic or Latino 12 4 16 94%
Blank 0 1 1 6%
TOTAL 12 5 17 100%
Female 4 3 7 41%
Male 8 2 10 59%
Transgender 0 0 0 0%
Do Not Identify 0 0 0 0%
Blank 0 0 0 0%
TOTAL 12 5 17 100%
0‐5 0 0 0 0%
17 or under 0 0 0 0%
18‐24 1 0 1 6%
25‐29 0 0 0 0%
30‐39 1 3 4 24%
40‐49 2 0 2 12%
50‐61 5 0 5 29%
62‐69 2 2 4 24%
70‐79 1 0 1 6%
80+ 0 0 0 0%
Blank 0 0 0 0%
TOTAL 12 5 17 100%
Chronically Homeless 3 0 3 13%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 2 0 2 8%
Veterans 3 0 3 13%
Alcohol Use 1 0 1 4%
Drug Use 3 0 3 13%
PTSD 3 0 3 13%
Mental Health Conditions 2 0 2 8%
Physical Disability 4 0 4 17%
Developmental Disability 1 0 1 4%
Brain Injury 0 0 0 0%
Victim of Domestic Violence 2 0 2 8%
AIDS or HIV 0 0 0 0%
TOTAL 24 0 24 141%
Total Unsheltered Homeless Individuals 12 5 17 100%
Ethnicity
Gender
Age
Subpopulations
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ THOUSAND PALMS
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
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Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Interview Observational Count Percent
American Indian or Alaska Native 1 1 2 50%
Asian 0 0 0 0%
Black or African American 0 0 0 0%
Native Hawaiian, Pacific Islander 0 0 0 0%
White 1 1 2 50%
Multiple Races 0 0 0 0%
Don't Know/ Refused to Answer 0 0 0 0%
Blank 0 0 0 0%
TOTAL 2 2 4 100%
Hispanic or Latino 0 0 0 0%
Not Hispanic or Latino 2 2 4 100%
Blank 0 0 0 0%
TOTAL 2 2 4 100%
Female 0 0 0 0%
Male 2 2 4 100%
Transgender 0 0 0 0%
Do Not Identify 0 0 0 0%
Blank 0 0 0 0%
TOTAL 2 2 4 100%
0‐5 0 0 0 0%
17 or under 0 0 0 0%
18‐24 0 0 0 0%
25‐29 0 1 1 25%
30‐39 0 0 0 0%
40‐49 1 0 1 25%
50‐61 1 0 1 25%
62‐69 0 1 1 25%
70‐79 0 0 0 0%
80+ 0 0 0 0%
Blank 0 0 0 0%
TOTAL 2 2 4 100%
Chronically Homeless 2 0 2 25%
Families with Children 0 0 0 0%
Jail (Within 12 Months) 0 0 0 0%
Veterans 0 0 0 0%
Alcohol Use 1 0 1 13%
Drug Use 1 0 1 13%
PTSD 1 0 1 13%
Mental Health Conditions 1 0 1 13%
Physical Disability 2 0 2 25%
Developmental Disability 0 0 0 0%
Brain Injury 0 0 0 0%
Victim of Domestic Violence 0 0 0 0%
AIDS or HIV 0 0 0 0%
TOTAL 8 0 8 200%
Total Unsheltered Homeless Individuals 2 2 4 100%
Ethnicity
Gender
Age
Subpopulations
2017 Unsheltered Homeless Count Overall and Subpopulation Data ‐ VALLE VISTA
Field Response OptionsGeneral PIT Count Total 2017 Unsheltered
Race
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Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Appendix D: PIT Count Misconceptions
Here are the 5 Most Common Misconceptions about PIT Count Estimates written by Sam Batko February 11, 2014
Are you releasing your Point-in-Time (PIT) Count numbers soon? We at the Alliance have noticed a number of inaccuracies in stories in the media having to do with the PIT Count estimates of homeless populations and we have noted five points in particular on which journalists may sometimes want clarification. The Alliance's Homeless Research Institute has put together a media resource, "5 Myths about PIT Counts" to help journalists. We encourage you to provide it to journalists when you announce the 2014 PIT Count estimate for your community. You can download it here.
5 MYTHS about PIT COUNTS
February 2014
Myth 1: Point-in-Time counts do not count every homeless person and therefore are inaccurate.
PIT counts are a solid count of people experiencing homelessness in shelters, transitional housing, and on the street, in cars, in abandoned buildings, and in other places not intended for human habitation.
People experiencing homelessness in unsheltered locations are particularly difficult to find and enumerate. The PIT counts do miss people, as do most censuses. Nevertheless, PIT counts are important. They are the ONLY measure that captures the scope of people experiencing homelessness who are unsheltered – living on the streets, in cars, in abandoned buildings, and other places not meant for human habitation. And, by using the same methodology every year, PIT counts allow a community to assess the relative size of the homeless population over time.
Myth 2: Other national statistics contradict the data presented in Point-in-Time counts.
There are several national data sources on homelessness, but they do not cover the same population over the same time period, and subsequently cannot be directly compared to the PIT count.
PIT counts cover all people sheltered in homeless programs and unsheltered on a given night. They are conducted in every community, and are required by the U.S. Department of Housing and Urban Development (HUD). HUD also requires communities to collect data on people in homeless programs over the course of a year via Homeless Management Information Systems (HMIS). The Department of Education (Education) counts children who are enrolled in school and living in shelter, unsheltered situations, hotels and motels, and doubled up with family or friends during the school year. The U.S. Census Bureau includes a measure for people experiencing homelessness in the decennial Census.
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Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
These measures examine different populations over different time periods using different methodologies and cannot be directly compared. They have, however, tended to show similar trends over time. For example, between 2012 and 2013, both the PIT count and the Education data showed that the number of people who live in shelters, transitional housing, and unsheltered has gone down.
Myth 3: Point-in-Time counts are meant to provide data on everyone who is homeless during a year.
PIT counts are intended to provide a snapshot of how many people are homeless on a given night.
PIT counts provide the number of people living in emergency shelters, transitional housing, and unsheltered locations in a community. They provide little detailed information about the characteristics of who experiences homelessness over time in a community. Communities can glean more information on homelessness over the course of a year by examining the data collected in HMIS.
Data from HMIS, however, does not provide information about the scope of unsheltered homelessness. PIT counts are uniquely valuable in that respect.
Myth 4: Fluctuations in the Point-in-Time counts simply reflect fluctuations in the number of shelter beds – not in the number of homeless people.
The PIT counts reflect the interaction among people in beds, people unsheltered, and utilization of beds.
PIT counts can be affected by the number of beds, but they also count people who are not sheltered reflecting the entire population of people who are literally homeless. PIT counts also reflect the varying utilization of beds (i.e., they sometimes go unused). For example, in 2013 the number of shelter and transitional housing beds went down, but the number of people in those beds went up meaning vacancy was reduced.
Myth 5: If the Point-in-Time count is down, it means that there is enough affordable housing in the community.
The PIT describes how the homeless system is managing people’s experience of the shortage of affordable housing – not the availability of that housing.
The PIT count does not describe the affordable housing crisis. For that, a community should examine how many affordable units there are for the number of extremely low income households, the number of households that are doubled up, and the percentage of income that people pay for rent, among other things. Data on these measures is available from HUD and the U.S. Census Bureau.
A Point-in-Time count is a one-night, unduplicated count of people experiencing homelessness in a Continuum of Care (CoC). HUD requires that CoCs count their sheltered homeless population every year. They require that CoCs count their unsheltered homeless population every other year, on odd numbered calendar years. In 2012, despite not being required, 67 percent of CoCs conducted an unsheltered count. CoCs are expected to conduct their count during the last 10 days of January.
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Riverside County DPSS ASD HPU 2017 Point‐In‐Time Homeless Count Report
Appendix E: HUD Youth Homeless Definition
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