Cities Index.
Agenda

Twentynine Palms City Council
June 24, 2025

Document
Agenda
Meeting
June 24, 2025
Body
Twentynine Palms City Council
Pages
1,005
Original file
15.8 MB
Text extracted from the city's file for reading and search. Open the original on citwentynine-palmsca.civicweb.net. That file is the official record.

85 How Long Have You Been Homeless in the City You are Living in Now? Of the 71 persons who were currently living in Rialto,
 1 or 1.4% stated 1 day;
 1 or 1.4% stated 7 days;
 1 or 1.4% stated 2 weeks;
 4 or 5.6% stated 1 month;
 4 or 5.6% stated 2 months;
 1 or 1.4% stated 3 months;
 2 or 2.8% stated 5 months;
 1 or 1.4% stated 6 months;
 1 or 1.4% stated 7 months;
 1 or 1.4% stated 9 months;
 1 or 1.4% stated 10 months;
 7 or 9.8% stated 1 year;
 6 or 8.4% stated 2 years;
 5 or 7.0% stated 3 years;
 4 or 5.6% stated 4 years;
 2 or 2.8% stated 5 years;
 3 or 4.2% stated 6 years;
 3 or 4.2% stated 9 years;
 3 or 4.2% stated 10 years;
 3 or 4.2% stated 12 years;
 1 or 1.4% stated 14 years;
 1 or 1.4% stated 15 years;
 1 or 1.4% stated 17 years;
 1 or 1.4% stated 18 years;
 2 or 2.8% stated 20 years.

There was not a response to this question for 11 of the 71 persons.

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86 How Long Have You Been Homeless in Rialto?
Less than 1 Year 1 to 5 Years 6 to 10 Years More than 10 Years Number 18 24 9 9
Percent 30.0% 40.0% 15.0% 15.0%
18 24
9 9

30.0%

40.0%

15.0% 15.0%

0.0%

5.0%

10.0%

15.0%

20.0%

25.0%

30.0%

35.0%

40.0%

45.0%
0 5
10 15
20 25
30 Number Percent

Page 641 of 1005 ends

87 San Bernardino
Of the 639 unsheltered persons, 348 or 54.5% were able to be surveyed In What City Did You First Become Homeless?
When the 348 surveyed persons were asked, In what city did you first become homeless?  248 or 71.3% stated San Bernardino;
 12 or 3.4% stated outside of San Bernardino County;
 9 or 2.6% stated outside of California;
 6 or 1.7% stated Colton;
 6 or 1.7% stated Highland;
 5 or 1.4 stated Fontana;
 3 or 0.9% stated Rialto;
 3 or 0.9% stated Victorville;
 2 or 0.6% stated Crestline;
 2 or 0.6% stated Ontario;
 2 or 0.6% stated Hesperia;
 2 or 0.6% stated Redlands;
 1 or 0.3% stated Bloomington;
 1 or 3% stated Montclair;
 1 or 3% stated Rancho Cucamonga;
 1 or 3% stated Twentynine Palms.

There was not a response for 44 surveyed persons.

In What City Are You Living Now
Of the 248 surveyed persons who stated they first became homeless in San Bernardino,  241 or 97.2% answered San Bernardino when asked “In what city are you living now?” Of the 56 surveyed persons who stated they first became homeless in a city other than San Bernardino,
 42 or 58.3% stated that they are living in San Bernardino when asked “In what city are you living now?”

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88 Of the 44 surveyed persons for which there was no response to the question, In what city did you first become homeless? thirty-seven (37) did respond to the question “In what city are you living now?” and
 30 or 68.2% stated that they are living in San Bernardino when asked “In what city are you living now?”
How Long Have You Been Homeless in the City You are Living in Now? Of the 313 persons who were currently living in San Bernardino,  1 or 0.3% stated 4 days;
 2 or 0.6% stated 6 days;
 3 or 1.0% stated 7 days;
 1 or 0.3% stated 12 days;
 1 or 0.3% stated 15 days;
 3 or 1.0% stated 1 week;
 1 or 0.3% stated 2 weeks;
 5 or 1.6% stated 1 month;
 5 or 1.6% stated 2 months;
 4 or 1.3% stated 3 months;
 7 or 2.2% stated 4 months;
 3 or 1.0% stated 5 months;
 5 or 1.6% stated 6 months;
 8 or 2.6% stated 7 months;
 4 or 1.3% stated 8 months;
 1 or 0.3% stated 9 months;
 42 or 23.4% stated 1 year;
 67 or 21.4% stated 2 years;
 29 or 9.3% stated 3 years;
 21 or 6.7% stated 4 years;
 22 or 7.0% stated 5 years;
 16 or 5.1% stated 6 years;
 4 or 1.3% stated 7 years;
 7 or 2.2% stated 8 years;
 4 or 1.3% stated 9 years;
 7 or 2.2% stated 10 years;
 3 or 1.0% stated 11 years;

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89  3 or 1.0% stated 12 years;
 3 or 1.0% stated 14 years;
 3 or 1.0% stated 15 years;
 1 or 0.3% stated 16 years;
 3 or 1.0% stated 17 years;
 1 or 0.3% stated 18 years;
 11 or 3.5% stated 20 years;
 1 or 0.3% stated 25 years;
 2 or 0.6% stated 30 years;
 1 or 0.3% stated 36 years;
 1 or 0.3 stated 38 years;
 1 or 0.3% stated 50 years.

There was not a response for 6 of the 313 persons.

How Long Have You Been Homeless in San Bernardino?
Less than 1 Year 1 to 5 Years 6 to 10 Years More than 10 Years Number 54 181 38 34
Percent 17.5% 59.0% 12.4% 11.1%
54 181
38 17.5% 34

59.0%

12.4% 11.1%

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

70.0%
0 20
40 60
80 100
120
140
160
180
200
Number Percent

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90 Twentynine Palms
Of the 40 unsheltered persons, 24 or 60% were able to be surveyed.

In What City Did You First Become Homeless?
When the 24 surveyed persons were asked, In what city did you first become homeless?  12 or 50% stated Twentynine Palms;
2 or 8.3% stated Yucca Valley.

There was not a response to this question for 10 surveyed persons.

In What City Are You Living Now?
Of the 12 surveyed persons who stated they first became homeless in Twentynine Palms,  7 or 58.3% answered Twentynine Palms when asked “In what city are you living now?” Of the 2 surveyed persons who stated they first became homeless in a city other than Twentynine Palms,
 0 or 0.0% stated that they are living in Twentynine Palms when asked “In what city are you living now?”
Of the 10 surveyed persons for which there was no response to the question, In what city did you first become homeless? five (5) did respond to the question “In what city are you living now?” and
 5 or 50% stated that they are living in Twentynine Palms when asked “In what city are you living now?”
How Long Have You Been Homeless in the City You are Living in Now? Of the 12 persons who were currently living in Twentynine Palms,  1 or 8.3% stated 16 days;
 1 or 8.3% stated 3 months;
 1 or 8.3% stated 9 months;
 1 or 8.3% stated 1 year;

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91  1 or 8.3% stated 2 years;
 2 or 16.7% stated 3 years;
 1 or 8.3% stated 4 years;
 1 or 8.3% stated 5 years;
 1 or 8.3% stated 15 years.

There was not a response to this question for 2 of the 12 persons.

How Long Have You Been Homeless in Twentynine Palms?
Less than 1 Year 1 to 5 Years 6 to 10 Years More than 10 Years Number 3 6 0 1
Percent 30.0% 60.0% 0.0% 10.0%
3 6
0 1

30.0%

60.0%

0.0%

10.0%

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

70.0%
0 1
2 3
4 5
6 7
Number Percent

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92 Upland
Of the 43 unsheltered persons, 31 or 72.1% were able to be surveyed.

In What City Did You First Become Homeless?
When the 31 surveyed persons were asked, In what city did you first become homeless?  11 or 35.5% stated Upland;
 5 or 16.1% stated Ontario;
 3 or 9.7% stated Rancho Cucamonga;
 3 or 9.7% stated outside of San Bernardino;
 2 or 6.5% stated Fontana;
 1 or 3.2% stated Apple Valley;
 1 or 3.2% stated Montclair;
 1 or 3.2% stated Victorville.

There was not a response to this question for 4 surveyed persons.

In What City Are You Living Now?
Of the 11 surveyed persons who stated they first became homeless in Upland,  10 or 90.9% answered Upland when asked “In what city are you living now?” Of the 16 surveyed persons who stated they first became homeless in a city other than Upland,  16 or 100% stated that they are living in Upland when asked “In what city are you living now?”
Of the 4 surveyed persons for which there was no response to the question, In what city did you first become homeless? three (3) did respond to the question “In what city are you living now?” and
 3 or 75% stated that they are living in Upland when asked “In what city are you living now?”

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93 How Long Have You Been Homeless in the City You are Living in Now? Of the 29 persons who were currently living in Upland,
 1 or 3.4% stated 1 day;
 2 or 6.9% stated 3 months;
 1 or 3.4% stated 5 months;
 1 or 3.4% stated 9 months;
 4 or 13.8% stated 1 year;
 3 or 10.3% stated 2 years;
 1 or 3.4% stated 4 years;
 2 or 6.9% stated 5 years;
 4 or 13.8% stated 6 years;
 1 or 3.4% stated 8 years;
 3 or 10.3% stated 10 years;
 1 or 3.4% stated 11 years;
 1 or 3.4% stated 15 years;
 1 or 3.4% stated 20 years;
 1 or 3.4% stated 24 years.

There was not a response to this question for 2 of the 29 persons.

How Long Have You Been Homeless in Upland?
Less than 1 Year 1 to 5 Years 6 to 10 Years More than 10 Years Number 5 10 8 4
Percent 18.5% 37.0% 29.6% 14.8%
5 10
8 4

18.5%

37.0%

29.6%

14.8%

0.0%

5.0%

10.0%

15.0%

20.0%

25.0%

30.0%

35.0%

40.0%
0 2
4 6
8 10
12 Number Percent

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94 Victorville
Of the 179 unsheltered persons, 120 or 67% were able to be surveyed.

In What City Did You First Become Homeless?
When the 120 surveyed persons were asked, In what city did you first become homeless?  85 or 70.8% stated Victorville;
 7 or 5.8% stated outside of California;
 4 or 3.3% stated Hesperia;
 3 or 2.5% stated outside of San Bernardino;
 2 or 1.7% stated Apple Valley;
 1 or 0.8% stated Barstow;
 1 or 0.8% stated Fontana;
 1 or 0.8% stated Redlands;
 1 or 0.8% stated Rialto;
1 or 0.8% stated San Bernardino.

There was not a response to this question for 14 surveyed persons.

In What City Are You Living Now?
Of the 85 surveyed persons who stated they first became homeless in Victorville,  79 or 92.9% answered Victorville when asked “In what city are you living now?” Of the 21 surveyed persons who stated they first became homeless in a city other than Victorville,  21 or 100% stated that they are living in Victorville when asked “In what city are you living now?”
Of the 14 surveyed persons for which there was no response to the question, In what city did you first become homeless? three (3) did respond to the question “In what city are you living now?” and
 12 or 85.7% stated that they are living in Victorville when asked “In what city are you living now?”

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95 How Long Have You Been Homeless in the City You are Living in Now? Of the 112 persons who were currently living in Victorville,  1 or 0.8% stated 1 day;
 1 or 0.8% stated 1 week;
 1 or 0.8% stated 3 weeks;
 1 or 0.8% stated 6 weeks;
 2 or 1.8% stated 2 months;
 3 or 2.7% stated 4 months;
 2 or 1.8% stated 5 months;
 1 or 0.8% stated 6 months;
 2 or 1.8% stated 7 months;
 2 or 1.8% stated 9 months;
 1 or 0.8% stated 10 months;
 17 or 15.2% stated 1 year;
 29 or 25.9% stated 2 years;
 14 or 12.5% stated 3 years;
 7 or 6.2% stated 4 years;
 6 or 5.3% stated 5 years;
 6 or 5.3% stated 6 years;
 2 or 1.8% stated 7 years;
 1 or 0.8% stated 8 years;
 2 or 1.8% stated 9 years;
 2 or 1.8% stated 10 years;
 1 or 0.8% stated 11 years;
 1 or 0.8% stated 14 years;
 2 or 1.8% stated 15 years;
 1 or 0.8% stated 19 years;
 2 or 1.8% stated 20 years.

There was not a response to this question for 2 of the 112 persons.

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96 How Long Have You Been Homeless in Victorville?
Less than 1 Year 1 to 5 Years 6 to 10 Years More than 10 Years Number 17 73 13 7
Percent 15.4% 66.4% 11.8% 6.4%
17 73
13 7

15.4%

66.4%

11.8%

6.4%

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

70.0%
0 10
20 30
40 50
60 70
80 Number Percent

Page 651 of 1005 ends

97 Yucaipa
Of the 16 unsheltered persons, 6 or 37.5% were able to be surveyed.

In What City Did You First Become Homeless?
When the 6 surveyed persons were asked, In what city did you first become homeless?  3 or 50% stated Yucaipa.

There was not a response to this question for 3 surveyed persons.

In What City Are You Living Now?
Of the 3 surveyed persons who stated they first became homeless in Yucaipa,  3 or 100% answered Yucaipa when asked “In what city are you living now?” Of the 3 surveyed persons who stated they first became homeless in a city other than Yucaipa,  1 or 33.3% stated that they are living in Yucaipa when asked “In what city are you living now?”
How Long Have You Been Homeless in the City You are Living in Now? Of the 4 persons who were currently living in Yucaipa,
 1 or 25% stated 1 month;
 2 or 50% stated 2 years;
 1 or 25% stated 3 years.

How Long Have You Been Homeless in Yucaipa?
Less than 1 Year 1 to 5 Years 6 to 10 Years More than 10 Years Number 1 3 0 0
Percent 25.0% 75.0% 0.0% 0.0%
1 3
0 0

25.0%

75.0%
0 0.0% 0.0%
1 2
3 4
Number Percent

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98 Yucca Valley
Of the 45 unsheltered persons, 32 or 71.1% were able to be surveyed.

In What City Did You First Become Homeless?
When the 32 surveyed persons were asked, In what city did you first become homeless?  19 or 59.4% stated Yucca Valley;
 3 or 9.4% stated outside of San Bernardino;
 3 or 9.4% stated San Bernardino;
 1 or 3.1% stated Morongo;
 1 or 3.1% stated outside of California;
1 or 3.1% stated Twentynine Palms.

There was not a response to this question for 4 surveyed persons.

In What City Are You Living Now?
Of the 19 surveyed persons who stated they first became homeless in Yucca Valley,  19 or 100% answered Yucca Valley when asked “In what city are you living now?” Of the 9 surveyed persons who stated they first became homeless in a city other than Yucca Valley,
 8 or 88.9% stated that they are living in Yucca Valley when asked “In what city are you living now?”
Of the 4 surveyed persons for which there was no response to the question, In what city did you first become homeless? three (3) did respond to the question “In what city are you living now?” and
 1 or 25% stated that they are living in Yucca Valley when asked “In what city are you living now?”

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99 How Long Have You Been Homeless in the City You are Living in Now? Of the 28 persons who were currently living in Yucca Valley,  1 or 3.6% stated 1 day;
 1 or 3.6% stated 2 weeks;
 1 or 3.6% stated 3 weeks;
 1 or 3.6% stated 1 month;
 2 or 7.1% stated 2 months;
 1 or 3.6% stated 3 months;
 2 or 7.1% stated 4 months;
 4 or 14.3% stated 6 months;
 2 or 7.1% stated 8 months;
 2 or 7.1% stated 1 year;
 3 or 10.7% stated 2 years;
 1 or 3.6% stated 3 years;
 1 or 3.6% stated 4 years;
 2 or 7.1% stated 5 years;
 1 or 3.6% stated 6 years;
 2 or 7.1% stated 7 years;
 1 or 3.6% stated 10 years.

How Long Have You Been Homeless in Yucca Valley?
Less than 1 Year 1 to 5 Years 6 to 10 Years More than 10 Years Number 15 9 4 0
Percent 53.6% 32.1% 14.3% 0.0%
15 9
4 0

53.6%

32.1%

14.3%

0.0% 0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%
0 2
4 6
8 10
12 14
16 Number Percent

Page 654 of 1005 ends

100
Appendix A:

Findings for Each Jurisdiction for
Unsheltered Adults

Page 655 of 1005 ends

101
Adelanto
Total Number of Unsheltered Adults: 3
Of the 3 persons counted, volunteers were able to administer 3 surveys.

Demographic Information n=3
Gender: Number Percent
Male 2 66.7
Female 1 33.3
Transgender 0 0.0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 0 0.0
Age:
18 to 24 0 0.0
25 – 39 1 33.3
40 – 49 1 33.3
50 – 54 1 33.3
55 – 61 0 0.0
62+ 0 0.0
Ethnicity:

Hispanic or Latino 0 0.0
Race:

African American or Black 1 33.3
American Indian or Alaska Native 0 0.0
Asian 0 0.0
Native Hawaiian or Pacific Islander 0 0.0
White 2 66.7
Multiple Races or Other 0 0.0
Don’t Know 0 0.0
Became Homeless for First Time During Past 12 Months: 1 33.3 Chronically Homeless: 1 33.3
Veteran Status: 0 0.0
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 0 0.0

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102
Demographic Information n=3
HIV/AIDS: 0 0.0
Physical Disability That Seriously Limits Ability to Live Independently: 0 0.0
Developmental Disabilities: 0 0.0
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 0 0.0
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 2 66.7
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 0 0.0 Released from Correctional Institutions During Past Year: 3 100.0 Monthly Income:

No Monthly Income 0 0.0
$1 - $250 2 66.7
$251 - $500 1 33.3
$501 - $1,000 0 0.0
More Than $1,000 0 0.0
No Recorded Answer 0 0.0

Page 657 of 1005 ends

103
Apple Valley
Total Number of Unsheltered Adults: 20
Of the 20 persons counted, volunteers were able to administer 14 surveys.

Demographic Information n=14
Gender: Number Percent
Male 9 64.3
Female 4 28.6
Transgender 1 7.1
Gender Non-Conforming (i.e. not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 0 0.0
Age:
18 to 24 1 7.1
25 – 39 6 42.9
40 – 49 3 21.4
50 – 54 1 7.1
55 – 61 3 21.4
62+ 0 0.0
Ethnicity:

Hispanic or Latino 3 21.4
Race:

African American or Black 2 14.3
American Indian or Alaska Native 1 7.1
Asian 0 0.0
Native Hawaiian or Pacific Islander 0 0.0
White 10 71.4
Multiple Races or Other 1 7.1
Don’t Know 0 0.0
Became Homeless for First Time During Past 12 Months: 3 21.4 Chronically Homeless: 8 57.1
Veteran Status: 4 28.6
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 0 0.0

Page 658 of 1005 ends

104
Demographic Information n=14
HIV/AIDS: 0 0.0
Physical Disability That Seriously Limits Ability to Live Independently: 4 28.6
Developmental Disabilities: 1 7.1
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 3 21.4
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 6 42.9
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 1 7.1 Released from Correctional Institutions During Past Year: 4 28.6 Monthly Income:

No Monthly Income 9 64.3
$1 - $250 2 14.3
$251 - $500 2 14.3
$501 - $1,000 0 0.0
More Than $1,000 0 0.0
No Recorded Answer 1 7.1

Page 659 of 1005 ends

105
Barstow
Total Number of Unsheltered Adults: 59
Of the 59 persons counted, volunteers were able to administer 23 surveys.

Demographic Information n=23
Gender: Number Percent
Male 14 60.9
Female 9 39.1
Transgender 0 0.0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 0 0.0
Age:
18 to 24 1 4.3
25 - 39 5 21.7
40 – 49 4 17.4
50 – 54 4 17.4
55 – 61 6 26.1
62+ 3 13.0
Ethnicity:

Hispanic or Latino 5 21.7
Race:

African American or Black 1 4.3
American Indian or Alaska Native 0 0.0
Asian 0 0.0
Native Hawaiian or Pacific Islander 0 0.0
White 18 78.3
Multiple Races or Other 4 17.4
Don’t Know 0 0.0
Became Homeless for First Time During Past 12 Months: 3 13.0 Chronically Homeless: 14 60.9
Veteran Status: 5 21.7
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 14 60.9

Page 660 of 1005 ends

106
Demographic Information n=23
HIV/AIDS: 0 0.0
Physical Disability That Seriously Limits Ability to Live Independently: 12 52.2
Developmental Disabilities: 5 21.7
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 12 52.2
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 8 34.8
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 4 17.4 Released from Correctional Institutions During Past Year: 3 13.0 No Monthly Income: 7 30.4
$1 - $250 6 26.1
$251 - $500 1 4.3
$501 - $1,000 9 39.1
More Than $1,000 0 0.0
No Recorded Answer 0 0.0

Page 661 of 1005 ends

107
Big Bear Lake
Total Number of Unsheltered Adults: 7
Of the 7 persons counted, volunteers were able to administer 7 surveys.

Demographic Information n=7
Gender: Number Percent
Male 1 14.3
Female 6 85.7
Transgender 0 0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0 Don’t Know or No Recorded Answer 0 0
Age:
18 to 24 0 0
25 - 39 1 14.3
40 – 49 1 14.3
50 – 54 2 28.6
55 – 61 1 14.3
62+ 2 28.6
Ethnicity:

Hispanic or Latino 1 14.3
Race:

African American or Black 0 0
American Indian or Alaska Native 0 0
Asian 0 0
Native Hawaiian or Pacific Islander 0 0
White 6 85.7
Multiple Races or Other 1 14.3
Don’t Know 0 0
Became Homeless for First Time During Past 12 Months: 4 57.1 Chronically Homeless: 1 14.3
Veteran Status: 1 14.3
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 0 0

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108
Demographic Information n=7
HIV/AIDS: 0 0
Physical Disability That Seriously Limits Ability to Live Independently: 2 28.6
Developmental Disabilities: 0 0
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 0 0
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 0 0
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 0 0 Released from Correctional Institutions During Past Year: 1 14.3 Monthly Income:

No Monthly Income 5 71.4
$1 - $250 1 14.3
$251 - $500 0 0
$501 - $1,000 0 0
More Than $1,000 1 14.3
No Recorded Answer 0 0

Page 663 of 1005 ends

109
Bloomington
Total Number of Unsheltered Adults: 24
Of the 24 persons counted, volunteers were able to administer 16 surveys.

Demographic Information n=16
Gender: Number Percent
Male 13 81.3
Female 3 18.8
Transgender 0 0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0 Don’t Know or No Recorded Answer 0 0
Age:
18 to 24 0 0.0
25 – 39 5 31.2
40 – 49 4 25.0
50 – 54 2 12.5
55 – 61 3 18.7
62+ 2 12.5
Ethnicity:

Hispanic or Latino 5 31.3
Race:

African American or Black 1 6.3
American Indian or Alaska Native 0 0
Asian 0 0
Native Hawaiian or Pacific Islander 0 0
White 13 81.3
Multiple Races or Other 2 12.5
Don’t Know 0 0
Became Homeless for First Time During Past 12 Months: 6 37.5 Chronically Homeless: 5 31.3
Veteran Status: 1 6.3
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 6 37.5

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110
Demographic Information n=16
HIV/AIDS: 0 0
Physical Disability That Seriously Limits Ability to Live Independently: 7 43.8
Developmental Disabilities: 0 0
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 4 25.0
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 1 6.3
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 2 12.5 Released from Correctional Institutions During Past Year: 3 18.8 Monthly Income:

No Monthly Income 8 50.0
$1 - $250 4 25.0
$251 - $500 3 18.8
$501 - $1,000 1 6.3
More Than $1,000 0 0.0
No Recorded Answer 0 0.0

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111
Chino
Total Number of Unsheltered Adults: 23
Of the 23 persons counted, volunteers were able to administer 19 surveys.

Demographic Information n=19
Gender: Number Percent
Male 13 68.4
Female 6 31.6
Transgender 0 0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0 Don’t Know or No Recorded Answer 0 0
Age:
18 to 24 1 5.3
25 – 39 4 21.0
40 – 49 4 21.0
50 – 54 4 21.0
55 – 61 3 15.8
62+ 3 15.8
Ethnicity:

Hispanic or Latino 6 31.6
Race:

African American or Black 2 10.5
American Indian or Alaska Native 0 0
Asian 0 0
Native Hawaiian or Pacific Islander 0 0
White 10 52.6
Multiple Races or Other 3 15.8
Don’t Know/Refused 4 21.0
Became Homeless for First Time During Past 12 Months: 10 52.6 Chronically Homeless: 7 36.8
Veteran Status: 1 5.3
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 2 10.5

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112
Demographic Information n=19
HIV/AIDS: 0 0
Physical Disability That Seriously Limits Ability to Live Independently: 5 26.3
Developmental Disabilities: 1 5.3
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 2 10.5
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 1 5.3
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 4 21.0 Released from Correctional Institutions During Past Year: 3 15.8 Monthly Income:

No Monthly Income 6 31.6
$1 - $250 4 21.0
$251 - $500 2 10.5
$501 - $1,000 2 10.5
More Than $1,000 5 26.3
No Recorded Answer 0 0

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113
Chino Hills
Total Number of Unsheltered Adults: 4
Of the 4 persons counted, volunteers were able to administer 3 surveys.

Demographic Information n=3
Gender: Number Percent
Male 1 33.3
Female 2 66.7
Transgender 0 0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0 Don’t Know or No Recorded Answer 0 0
Age:
18 to 24 0 0
25 – 39 0 0
40 – 49 1 33.3
50 – 54 1 33.3
55 – 61 1 33.3
62+ 0 0
Ethnicity:

Hispanic or Latino 1 33.3
Race:

African American or Black 0 0
American Indian or Alaska Native 0 0
Asian 0 0
Native Hawaiian or Pacific Islander 0 0
White 3 100
Multiple Races or Other 0 0
Don’t Know 0 0
Became Homeless for First Time During Past 12 Months: 2 66.7 Chronically Homeless: 0 0
Veteran Status: 0 0
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 0 0

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114
Demographic Information n=3
HIV/AIDS: 0 0
Physical Disability That Seriously Limits Ability to Live Independently: 0 0
Developmental Disabilities: 0 0
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 1 33.3
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 0 0
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 0 0 Released from Correctional Institutions During Past Year: 0 0 Monthly Income:

No Monthly Income 3 100
$1 - $250 0 0
$251 - $500 0 0
$501 - $1,000 0 0
More Than $1,000 0 0
No Recorded Answer 0 0

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115
Colton
Total Number of Unsheltered Adults: 58
Of the 58 persons counted, volunteers were able to administer 51 surveys.

Demographic Information n=51
Gender: Number Percent
Male 34 66.7
Female 17 33.3
Transgender 0 0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0 Don’t Know or No Recorded Answer 0 0
Age:
18 to 24 2 4.0
25 - 39 18 35.2
40 – 49 9 17.6
50 – 54 6 11.7
55 – 61 11 21.2
62+ 5 10.0
Ethnicity:

Hispanic or Latino 18 35.3
Race:

African American or Black 4 7.8
American Indian or Alaska Native 2 4.0
Asian 1 2.0
Native Hawaiian or Pacific Islander 0 0
White 28 54.9
Multiple Races or Other 13 25.4
Don’t Know/Refused 3 5.9
Became Homeless for First Time During Past 12 Months: 15 29.4 Chronically Homeless: 16 31.4
Veteran Status: 4 7.8
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 8 15.7

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116
Demographic Information n=51
HIV/AIDS: 1 2.0
Physical Disability That Seriously Limits Ability to Live Independently: 14 27.5
Developmental Disabilities: 3 5.9
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 12 23.5
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 11 21.6
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 1 2.0 Released from Correctional Institutions During Past Year: 7 13.7 Monthly Income:

No Monthly Income 34 66.7
$1 - $250 11 21.6
$251 - $500 3 5.9
$501 - $1,000 2 3.9
More Than $1,000 1 2.0
No Recorded Answer/Refused 0 0.0

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117
Fontana
Total Number of Unsheltered Adults: 94
Of the 94 persons counted, volunteers were able to administer 58 surveys.

Demographic Information n=58
Gender: Number Percent
Male 36 62.1
Female 22 37.9
Transgender 0 0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0 Don’t Know or No Recorded Answer 0 0
Age:
18 to 24 2 3.4
25 - 39 23 39.7
40 – 49 13 22.4
50 – 54 3 5.2
55 – 61 10 17.2
62+ 7 12.0
Ethnicity:

Hispanic or Latino 26 44.8
Race:

African American or Black 11 19.0
American Indian or Alaska Native 3 5.2
Asian 1 1.7
Native Hawaiian or Pacific Islander 1 1.7
White 25 43.1
Multiple Races or Other 16 27.6
Don’t Know/Refused 1 1.7
Became Homeless for First Time During Past 12 Months: 25 43.1 Chronically Homeless: 19 32.8
Veteran Status: 8 13.8
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 10 17.2

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118
Demographic Information n=58
HIV/AIDS: 1 1.7
Physical Disability That Seriously Limits Ability to Live Independently: 15 25.9
Developmental Disabilities: 3 5.2
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 8 13.8
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 4 6.9
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 4 6.9 Released from Correctional Institutions During Past Year: 13 22.4 Monthly Income:

No Monthly Income 34 58.6
$1 - $250 8 13.8
$251 - $500 3 5.2
$501 - $1,000 10 17.2
More Than $1,000 3 5.2
No Recorded Answer 0 0

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119
Grand Terrace
Total Number of Unsheltered Adults: 1
Volunteers were able to administer 1 survey.

Demographic Information n=1
Gender: Number Percent
Male 1 100
Female 0 0
Transgender 0 0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0 Don’t Know or No Recorded Answer 0 0
Age:
18 to 24 0 0
25 - 39 0 0
40 – 49 0 0
50 – 54 0 0
55 – 61 1 100
62+ 0 0
Ethnicity:

Hispanic or Latino 0 0
Race:

African American or Black 0 0
American Indian or Alaska Native 0 0
Asian 0 0
Native Hawaiian or Pacific Islander 0 0
White 1 100
Multiple Races or Other 0 0
Don’t Know 0 0
Became Homeless for First Time During Past 12 Months: 0 0 Chronically Homeless: 0 0
Veteran Status: 0 0
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 0 0

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120
Demographic Information n=1
HIV/AIDS: 0 0
Physical Disability That Seriously Limits Ability to Live Independently: 0 0
Developmental Disabilities: 0 0
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 0 0
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 0 0
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 0 0 Released from Correctional Institutions During Past Year: 0 0 Monthly Income:

No Monthly Income 1 100
$1 - $250 0 0
$251 - $500 0 0
$501 - $1,000 0 0
More Than $1,000 0 0
No Recorded Answer 0 0

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121
Hesperia
Total Number of Unsheltered Adults: 21
Of the 21 persons counted, volunteers were able to administer 15 surveys.

Demographic Information n=15
Gender: Number Percent
Male 14 93.3
Female 1 6.7
Transgender 0 0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0 Don’t Know or No Recorded Answer 0 0
Age:
18 to 24 3 20.0
25 - 39 4 26.7
40 – 49 1 6.7
50 – 54 2 13.3
55 – 61 2 13.3
62+ 3 20.0
Ethnicity:

Hispanic or Latino 4 26.7
Race:

African American or Black 2 13.3
American Indian or Alaska Native 0 0
Asian 0 0
Native Hawaiian or Pacific Islander 0 0
White 11 73.3
Multiple Races or Other 0 0
Don’t Know/refused 2 13.3
Became Homeless for First Time During Past 12 Months: 6 40 Chronically Homeless: 5 33.3
Veteran Status: 1 6.7
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 4 26.7

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122
Demographic Information n=15
HIV/AIDS: 0 0
Physical Disability That Seriously Limits Ability to Live Independently: 1 6.7
Developmental Disabilities: 1 6.7
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 2 13.3
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 3 20.0
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 1 6.7 Released from Correctional Institutions During Past Year: 6 40.0 Monthly Income:

No Monthly Income 10 66.7
$1 - $250 1 6.7
$251 - $500 0 0
$501 - $1,000 1 6.7
More Than $1,000 2 13.3
No Recorded Answer 1 6.7

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123
Highland
Total Number of Unsheltered Adults: 72
Of the 72 persons counted, volunteers were able to administer 42 surveys.

Demographic Information n=42
Gender: Number Percent
Male 29 69
Female 13 31
Transgender 0 0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0 Don’t Know or No Recorded Answer 0 0
Age:
18 to 24 1 2.3
25 - 39 14 33.3
40 – 49 13 31.0
50 – 54 4 9.5
55 – 61 8 19.0
62+ 2 4.8
Ethnicity:

Hispanic or Latino 9 21.4
Race:

African American or Black 11 26.2
American Indian or Alaska Native 3 7.1
Asian 0 0
Native Hawaiian or Pacific Islander 0 0
White 22 52.4
Multiple Races or Other 2 4.8
Don’t Know/Refused 4 9.5
Became Homeless for First Time During Past 12 Months: 13 31.0 Chronically Homeless: 19 45.2
Veteran Status: 5 11.9
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 4 9.5

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124
Demographic Information n=42
HIV/AIDS: 1 2.4
Physical Disability That Seriously Limits Ability to Live Independently: 9 21.4
Developmental Disabilities: 1 2.4
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 13 31.0
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 4 9.5
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 5 11.9 Released from Correctional Institutions During Past Year: 8 19.0 Monthly Income:

No Monthly Income 32 76.2
$1 - $250 3 7.1
$251 - $500 1 2.4
$501 - $1,000 4 9.5
More Than $1,000 1 2.4
No Recorded Answer 1 2.4

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125
Loma Linda
Total Number of Unsheltered Adults: 8
Of the 8 persons counted, volunteers were able to administer 6 surveys.

Demographic Information n=6
Gender: Number Percent
Male 5 83.3
Female 1 16.7
Transgender 0 0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0 Don’t Know or No Recorded Answer 0 0
Age:
18 to 24 0 0
25 - 39 1 16.7
40 – 49 0 0
50 – 54 0 0
55 – 61 1 16.7
62+ 4 66.7
Ethnicity:

Hispanic or Latino 3 50.0
Race:

African American or Black 1 16.7
American Indian or Alaska Native 0 0
Asian 0 0
Native Hawaiian or Pacific Islander 0 0
White 4 66.7
Multiple Races or Other 0 0
Don’t Know 1 16.7
Became Homeless for First Time During Past 12 Months: 3 50.0 Chronically Homeless: 2 33.3
Veteran Status: 4 66.7
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 1 16.7

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126
Demographic Information n=6
HIV/AIDS: 1 16.7
Physical Disability That Seriously Limits Ability to Live Independently: 1 16.7
Developmental Disabilities: 1 16.7
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 1 16.7
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 1 16.7
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 1 16.7 Released from Correctional Institutions During Past Year: 3 50.0 Monthly Income:

No Monthly Income 3 50.0
$1 - $250 3 50.0
$251 - $500 0 0
$501 - $1,000 0 0
More Than $1,000 0 0
No Recorded Answer 0 0

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127
Montclair
Total Number of Unsheltered Adults: 24
Of the 24 persons counted, volunteers were able to administer 10 surveys.

Demographic Information n=10
Gender: Number Percent
Male 7 70.0
Female 3 30.0
Transgender 0 0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0 Don’t Know or No Recorded Answer 0 0
Age:
18 to 24 0 0
25 - 39 2 20.0
40 – 49 2 20.0
50 – 54 3 30.0
55 – 61 3 30.0
62+ 0 0
Ethnicity:

Hispanic or Latino 7 70.0
Race:

African American or Black 1 10.0
American Indian or Alaska Native 0 0
Asian 0 0
Native Hawaiian or Pacific Islander 0 0
White 2 20.0
Multiple Races or Other 5 50.0
Don’t Know/Refused 2 20.0
Became Homeless for First Time During Past 12 Months: 3 30.0 Chronically Homeless: 8 80.0
Veteran Status: 0 0
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 3 30.0

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128
Demographic Information n=10
HIV/AIDS: 0 0
Physical Disability That Seriously Limits Ability to Live Independently: 1 10.0
Developmental Disabilities: 0 0
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 4 40.0
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 5 50.0
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 0 0 Released from Correctional Institutions During Past Year: 6 60.0 Monthly Income:

No Monthly Income 5 50.0
$1 - $250 3 30.0
$251 - $500 1 10.0
$501 - $1,000 1 10.0
More Than $1,000 0 0
No Recorded Answer 0 0

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129
Needles
Total Number of Unsheltered Adults: 29
Of the 29 persons counted, volunteers were able to administer 23 surveys.

Demographic Information n=23
Gender: Number Percent
Male 18 78.3
Female 4 17.4
Transgender 1 4.3
Gender Non-Conforming (i.e. not exclusively male or female) 0 0 Don’t Know or No Recorded Answer 0 0
Age:
18 to 24 1 4.3
25 - 39 5 21.7
40 – 49 3 13.0
50 – 54 0 0
55 – 61 8 34.8
62+ 6 26.1
Ethnicity:

Hispanic or Latino 3 13.0
Race:

African American or Black 0 0
American Indian or Alaska Native 2 8.7
Asian 0 0
Native Hawaiian or Pacific Islander 2 8.7
White 19 82.6
Multiple Races or Other 0 0
Don’t Know
Became Homeless for First Time During Past 12 Months: 7 30.4 Chronically Homeless: 17 73.9
Veteran Status: 3 13.0
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 4 17.4

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Demographic Information n=23
HIV/AIDS: 0 0
Physical Disability That Seriously Limits Ability to Live Independently: 10 43.5
Developmental Disabilities: 6 26.1
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 12 52.2
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 11 47.8
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 1 4.3 Released from Correctional Institutions During Past Year: 2 8.7 Monthly Income:

No Monthly Income 13 56.5
$1 - $250 0 0
$251 - $500 1 4.3
$501 - $1,000 7 30.4
More Than $1,000 2 8.7
No Recorded Answer 0 0

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131
Ontario
Total Number of Unsheltered Adults: 94
Of the 94 persons counted, volunteers were able to administer 76 surveys.

Demographic Information n=76
Gender: Number Percent
Male 56 73.7
Female 20 26.3
Transgender 0 0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0 Don’t Know or No Recorded Answer 0 0
Age:
18 to 24 5 6.6
25 - 39 21 27.6
40 – 49 13 17.1
50 – 54 12 15.8
55 – 61 15 19.7
62+ 10 13.2
Ethnicity:

Hispanic or Latino 36 47.4
Race:

African American or Black 8 10.5
American Indian or Alaska Native 5 6.6
Asian 1 1.3
Native Hawaiian or Pacific Islander 1 1.3
White 56 73.7
Multiple Races or Other 2 2.6
Don’t Know/Refused 3 3.9
Became Homeless for First Time During Past 12 Months: 26 34.2 Chronically Homeless: 31 40.8
Veteran Status: 10 13.2
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 13 17.1

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Demographic Information n=76
HIV/AIDS: 1 1.3
Physical Disability That Seriously Limits Ability to Live Independently: 21 27.6
Developmental Disabilities: 1 1.3
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 14 18.4
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 17 22.4
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 4 5.3 Released from Correctional Institutions During Past Year: 20 26.3 Monthly Income:

No Monthly Income 44 57.9
$1 - $250 11 14.5
$251 - $500 3 3.9
$501 - $1,000 13 17.1
More Than $1,000 5 6.6
No Recorded Answer 0 0

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133
Rancho Cucamonga
Total Number of Unsheltered Adults: 48
Of the 48 persons counted, volunteers were able to administer 31 surveys.

Demographic Information n=31
Gender: Number Percent
Male 25 80.6
Female 6 19.4
Transgender 0 0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0 Don’t Know or No Recorded Answer 0 0
Age:
18 to 24 1 3.2
25 - 39 14 45.1
40 – 49 4 12.9
50 – 54 3 9.7
55 – 61 5 16.1
62+ 4 12.9
Ethnicity:

Hispanic or Latino 3 9.7
Race:

African American or Black 7 22.6
American Indian or Alaska Native 0 0
Asian 1 3.2
Native Hawaiian or Pacific Islander 1 3.2
White 19 61.3
Multiple Races or Other 2 6.5
Don’t Know/Refused 1 3.2
Became Homeless for First Time During Past 12 Months: 9 29.0 Chronically Homeless: 14 45.2
Veteran Status: 3 9.7
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 6 19.4

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Demographic Information n=31
HIV/AIDS: 0 0
Physical Disability That Seriously Limits Ability to Live Independently: 8 25.8
Developmental Disabilities: 2 6.5
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 6 19.4
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 7 22.6
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 5 16.1 Released from Correctional Institutions During Past Year: 9 29.0 Monthly Income:

No Monthly Income 15 48.4
$1 - $250 3 9.7
$251 - $500 1 3.2
$501 - $1,000 4 12.9
More Than $1,000 6 19.4
No Recorded Answer 2 6.5

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135
Redlands
Total Number of Unsheltered Adults: 141
Of the 141 persons counted, volunteers were able to administer 93 surveys.

Demographic Information n=93
Gender: Number Percent
Male 65 69.9
Female 28 30.1
Transgender 0 0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0 Don’t Know or No Recorded Answer 0 0
Age:
18 to 24 47 50.5
25 - 39 24 25.8
40 – 49 8 8.6
50 – 54 6 6.5
55 – 61 5 5.4
62+ 3 3.2
Ethnicity:

Hispanic or Latino 36 38.7
Race:

African American or Black 15 16.1
American Indian or Alaska Native 3 3.2
Asian 1 1.1
Native Hawaiian or Pacific Islander 0 0
White 44 47.3
Multiple Races or Other 30 32.3
Don’t Know
Became Homeless for First Time During Past 12 Months: 20 21.5 Chronically Homeless: 52 55.9
Veteran Status: 3 3.2
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 8 8.6

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136
Demographic Information n=93
HIV/AIDS: 4 4.3
Physical Disability That Seriously Limits Ability to Live Independently: 7 7.5
Developmental Disabilities: 1 1.1
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 8 8.6
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 49 52.7
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 6 6.5 Released from Correctional Institutions During Past Year: 23 24.7 Monthly Income:

No Monthly Income 58 62.3
$1 - $250 17 18.3
$251 - $500 6 6.5
$501 - $1,000 5 5.4
More Than $1,000 5 5.4
No Recorded Answer 2 2.1

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137
Rialto
Total Number of Unsheltered Adults: 133
Of the 133 persons counted, volunteers were able to administer 88 surveys.

Demographic Information n=88
Gender: Number Percent
Male 63 71.6
Female 25 28.4
Transgender 0 0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0 Don’t Know or No Recorded Answer 0 0
Age:
18 to 24 7 8.0
25 - 39 25 28.4
40 – 49 22 25.0
50 – 54 9 10.2
55 – 61 13 14.8
62+ 12 13.6
Ethnicity:

Hispanic or Latino 30 34.1
Race:

African American or Black 21 23.9
American Indian or Alaska Native 1 1.1
Asian 0 0
Native Hawaiian or Pacific Islander 1 1.1
White 35 39.8
Multiple Races or Other 22 25.0
Don’t Know 8 9.1
Became Homeless for First Time During Past 12 Months: 31 35.2 Chronically Homeless: 28 31.8
Veteran Status: 8 9.1
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 14 15.9

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138
Demographic Information n=88
HIV/AIDS: 2 2.3
Physical Disability That Seriously Limits Ability to Live Independently: 23 26.1
Developmental Disabilities: 4 4.5
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 19 21.6
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 15 17.0
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 6 6.8 Released from Correctional Institutions During Past Year: 24 27.2 Monthly Income:

No Monthly Income 50 56.8
$1 - $250 16 18.2
$251 - $500 9 10.2
$501 - $1,000 7 8.0
More Than $1,000 3 3.4
No Recorded Answer 3 3.4

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139
San Bernardino
Total Number of Unsheltered Adults: 639
Of the 639 persons counted, volunteers were able to administer 348 surveys.

Demographic Information n=348
Gender: Number Percent
Male 247 71.0
Female 99 28.4
Transgender 0 0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0 Don’t Know or No Recorded Answer 2 0.6
Age:
18 to 24 19 5.4
25 - 39 119 34.2
40 – 49 71 20.4
50 – 54 57 16.4
55 – 61 57 16.4
62+ 25 7.2
Ethnicity:

Hispanic or Latino 147 42.2
Race:

African American or Black 81 23.3
American Indian or Alaska Native 13 3.7
Asian 2 0.6
Native Hawaiian or Pacific Islander 1 0.3
White 165 47.4
Multiple Races or Other 72 20.7
Don’t Know 14 4
Became Homeless for First Time During Past 12 Months: 93 26.7 Chronically Homeless: 149 42.8
Veteran Status: 28 8.0
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 69 19.8

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140
Demographic Information n=348
HIV/AIDS: 11 3.2
Physical Disability That Seriously Limits Ability to Live Independently: 87 25
Developmental Disabilities: 26 7.5
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 79 22.7
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 59 17.0
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 35 10.1 Released from Correctional Institutions During Past Year: 67 19.2 Monthly Income:

No Monthly Income 226 64.9
$1 - $250 45 12.9
$251 - $500 16 4.6
$501 - $1,000 39 11.2
More Than $1,000 13 3.7
No Recorded Answer 9 2.6

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141
Twentynine Palms
Total Number of Unsheltered Adults: 40
Of the 40 persons counted, volunteers were able to administer 24 surveys.

Demographic Information n=24
Gender: Number Percent
Male 13 54.1
Female 9 37.5
Transgender 0 0
Gender Non-Conforming (i.e. not exclusively male or female) 1 4.2 Don’t Know or No Recorded Answer 1 4.2
Age:
18 to 24 2 8.3
25 - 39 7 29.1
40 – 49 3 12.5
50 – 54 3 12.5
55 – 61 4 16.6
62+ 5 20.8
Ethnicity:

Hispanic or Latino 3 12.5
Race:

African American or Black 2 8.3
American Indian or Alaska Native 1 4.2
Asian 1 4.2
Native Hawaiian or Pacific Islander 0 0
White 16 66.6
Multiple Races or Other 3 12.5
Don’t Know 1 4.2
Became Homeless for First Time During Past 12 Months: 10 41.7 Chronically Homeless: 11 45.8
Veteran Status: 4 16.6
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 6 25.0

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142
Demographic Information n=24
HIV/AIDS: 0 0
Physical Disability That Seriously Limits Ability to Live Independently: 7 29.2
Developmental Disabilities: 1 4.2
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 5 20.8
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 5 20.8
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 2 8.3 Released from Correctional Institutions During Past Year: 2 8.3 Monthly Income:

No Monthly Income 11 45.8
$1 - $250 3 12.5
$251 - $500 1 4.2
$501 - $1,000 7 29.2
More Than $1,000 2 8.3
No Recorded Answer 0 0

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143
Upland
Total Number of Unsheltered Adults: 43
Of the 43 persons counted, volunteers were able to administer 31 surveys.

Demographic Information n=31
Gender: Number Percent
Male 28 90.3
Female 3 9.7
Transgender 0 0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0 Don’t Know or No Recorded Answer 0 0
Age:
18 to 24 1 3.2
25 - 39 9 29
40 – 49 4 12.9
50 – 54 3 9.6
55 – 61 7 22.6
62+ 7 22.6
Ethnicity:

Hispanic or Latino 7 22.6
Race:

African American or Black 1 3.2
American Indian or Alaska Native 0 0
Asian 0 0
Native Hawaiian or Pacific Islander 1 3.2
White 25 80.6
Multiple Races or Other 4 12.9
Don’t Know 0 0
Became Homeless for First Time During Past 12 Months: 4 12.9 Chronically Homeless: 10 32.3
Veteran Status: 4 12.9
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 7 22.6

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144
Demographic Information n=31
HIV/AIDS: 0 0
Physical Disability That Seriously Limits Ability to Live Independently: 8 25.8
Developmental Disabilities: 0 0
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 3 9.7
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 12 38.7
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 1 3.2 Released from Correctional Institutions During Past Year: 8 25.8.

Monthly Income:

No Monthly Income 16 51.6
$1 - $250 4 12.9
$251 - $500 3 9.7
$501 - $1,000 5 16.1
More Than $1,000 1 3.2
No Recorded Answer 2 6.5

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145
Victorville
Total Number of Unsheltered Adults: 179
Of the 179 persons counted, volunteers were able to administer 120 surveys.

Demographic Information n=120
Gender: Number Percent
Male 80 66.7
Female 40 33.3
Transgender 0 0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0 Don’t Know or No Recorded Answer 0 0
Age:
18 to 24 4 3.3
25 - 39 46 38.3
40 – 49 24 20
50 – 54 14 11.7
55 – 61 22 18.3
62+ 10 8.3
Ethnicity:

Hispanic or Latino 25 20.8
Race:

African American or Black 35 29.2
American Indian or Alaska Native 2 1.7
Asian 0 0
Native Hawaiian or Pacific Islander 1 0.8
White 59 49.2
Multiple Races or Other 14 11.7
Don’t Know/refused 9 7.5
Became Homeless for First Time During Past 12 Months: 35 29.2 Chronically Homeless: 48 40.0
Veteran Status: 15 12.5
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 20 16.7

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146
Demographic Information n=120
HIV/AIDS: 2 1.7
Physical Disability That Seriously Limits Ability to Live Independently: 26 21.7
Developmental Disabilities: 9 7.5
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 34 28.3
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 34 28.3
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 13 10.8 Released from Correctional Institutions During Past Year: 31 25.8 Monthly Income:

No Monthly Income 77 64.2
$1 - $250 19 15.8
$251 - $500 4 3.3
$501 - $1,000 13 10.8
More Than $1,000 5 4.2
No Recorded Answer 2 1.7

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147
Yucaipa
Total Number of Unsheltered Adults: 16
Of the 16 persons counted, volunteers were able to administer 6 surveys.

Demographic Information n=6
Gender: Number Percent
Male 4 33.3
Female 2 66.7
Transgender 0 0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0 Don’t Know or No Recorded Answer 0 0
Age:
18 to 24 0 0
25 – 39 2 33.3
40 – 49 1 16.7
50 – 54 1 16.7
55 – 61 1 16.7
62+ 1 16.7
Ethnicity:

Hispanic or Latino 0 0
Race:

African American or Black 0 0
American Indian or Alaska Native 0 0
Asian 0 0
Native Hawaiian or Pacific Islander 0 0
White 6 100
Multiple Races or Other 0 0
Don’t Know 0 0
Became Homeless for First Time During Past 12 Months: 1 16.7 Chronically Homeless: 5 83.3
Veteran Status: 2 33.3
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 4 66.7

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148
Demographic Information n=6
HIV/AIDS: 0 0
Physical Disability That Seriously Limits Ability to Live Independently: 4 66.7
Developmental Disabilities: 0 0
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 1 16.7
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 4 66.7
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 0 0 Released from Correctional Institutions During Past Year: 3 50 Monthly Income:

No Monthly Income 2 33.3
$1 - $250 0 0
$251 - $500 0 0
$501 - $1,000 2 33.3
More Than $1,000 2 33.3
No Recorded Answer 0 0

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149
Yucca Valley
Total Number of Unsheltered Adults: 45
Of the 45 persons counted, volunteers were able to administer 32 surveys.

Demographic Information n=32
Gender: Number Percent
Male 24 75.0
Female 7 21.9
Transgender 0 0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0 Refused 1 3.1
Age:
18 to 24 4 12.5
25 - 39 7 21.9
40 – 49 5 15.6
50 – 54 5 15.6
55 – 61 7 21.9
62+ 4 12.5
Ethnicity:

Hispanic or Latino 3 9.4
Race:

African American or Black 2 6.3
American Indian or Alaska Native 2 6.3
Asian 0 0
Native Hawaiian or Pacific Islander 1 3.1
White 23 71.9
Multiple Races or Other 4 12.5
Don’t Know 0 0
Became Homeless for First Time During Past 12 Months: 15 46.9 Chronically Homeless: 12 37.5
Veteran Status: 9 28.1
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 9 28.1

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150
Demographic Information n=32
HIV/AIDS: 1 3.1
Physical Disability That Seriously Limits Ability to Live Independently: 11 34.4
Developmental Disabilities: 3 9.4
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 9 28.1
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 7 21.9
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 2 9.4 Released from Correctional Institutions During Past Year: 5 15.6 Monthly Income:

No Monthly Income 13 40.6
$1 - $250 8 25.0
$251 - $500 4 12.5
$501 - $1,000 5 15.6
More Than $1,000 2 6.3
No Recorded Answer 0 0

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2 San Bernardino County 2020 Homeless Count and Subpopulation Survey:

Final Report
Acknowledgements
The San Bernardino County Homeless Partnership wishes to thank all of the individuals and organizations that contributed to the preparation, implementation, and success of the 2020 Point-In-Time Count and Subpopulation Survey. Such an endeavor would not be possible without the collaboration and efforts of many volunteers, community groups, faith- and community-based organizations, county departments, city representatives and staff, homeless service providers, law enforcement and elected officials. Your hard work, time and dedication to ending homelessness are greatly appreciated.
 Special thanks to approximately 600 community volunteers from all across San Bernardino county who canvassed areas identified as “green count zones” the morning of January 23rd, to complete the 2020 PointIn-Time-Count and Subpopulation Survey.  Special thanks to the following agencies and community organizations that contributed staff time, support and resources, and office space for planning, training and development activities to help make the 2020 Point-InTime Count and Subpopulation Survey a success:
211-United Way San Bernardino County
American Round Table to Abolish Homelessness
Assembly Member Eloise Gomez-Reyes, District 47
California Department of Transportation
California State University – San Bernardino
Church for Whosoever – Apple Valley
Church of Latter Day Saints – Redlands
City of Big Bear Lake
City of Barstow
City of Chino
City of Chino Hills
City of Colton
City of Fontana
City of Grand Terrace
City of Highland
City of Loma Linda
City of Needles
City of Montclair
City of Ontario
City of Rancho Cucamonga
City of Redlands
City of Rialto
City of San Bernardino
City of Twentynine Palms
City of Upland
City of Victorville
City of Yucaipa

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3 ESRI
Family Assistance Program
Good Shepherd Lutheran Church – Yucaipa
Mercy House – Ontario
Morongo Basin Haven
Mountain Homeless Coalition
New Hope Village
San Bernardino County Administrative Office
San Bernardino County Board of Supervisors
San Bernardino County Council of Governments
San Bernardino County Department of Behavioral Health
San Bernardino County Child Support Services
San Bernardino County Human Resources
San Bernardino County Information Services Department
San Bernardino County Sheriff’s Department
San Bernardino County Sheriff’s Department – Homeless Outreach Proactive Enforcement (HOPE) Team St. Richards Episcopal Church – Skyforest
Step Up on Second
Town of Apple Valley
Town of Yucca Valley
United States Veterans Administration – Loma Linda Healthcare System Water of Life Community Church/CityLink
Youth Hope Foundation
Alma Hernandez
Andre Bossieux
Andrea Buttner
Angela Pasco
Anna Ulibarri
Ashley Esquivel
Belinda Barbour
Brandon Fahey
Brent Rolf
Brigette Martinez
Claudia Doyle
Cassandra Searcy
Corporal Catherine Grieg
Daniel Flores
Darryl Evey
Dawn Jones
Deanna Luttrell
Deborah Caruso
Deputy Aaron Halloway
Deputy Branden Davault
Deputy Jeff Collins
Deputy Mike Catalano
Deputy Mike Jones
Deputy Vince Balsitis
Diane Podolske, Ph.D.

Don Smith

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4 Doug Story
Elisa Cox
Eric Gavin
Erika Lewis-Huntley
Erika Willhite
Gary Madden
Gretel Nobel
Heidi Mayer
James Dubuque
Jesse Smith
Jobi Wood
Joshua Monzon
Joyce Haniff
Judy Cannon
Judy Conner
Karchana Karthikeyan
Karen Bell
Karen Resendez
Katryna Gonzalez
Kent Paxton
Lawrence Mainez
Liliana Collins
Lindsay King
Lois Levitt
Maria Gallegos
Maribel Gutierrez
Marisela Manzo
Mary Douglas
Mayra Pratt
Michael Flores
Nancy Stewart
Natalie Campos
Nicole Van Winkle
Officer Cecil Smith
Officer C. Walton
Officer D. Rice
Officer Gabe Fondario
Officer J. Rutherford
Officer Robert Hargett
Paul Fournier
Perry Brents
Phil Mosley
Philip F. Mangano
Raquel Henry
Raychel Smith
Regina Cruise
Sam Matranga
Shaheen Zakaria
Shannon Kendall
Shelley Licata
Sheree Lewis
Sue Walker

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5 Ted Bistarkey
Tina McPherson
Tracey Rick
Tricia Gonzales
Wayne Hamilton
Wendell Wilson
 Special thanks for the San Bernardino County Information Services for their expertise and guidance concerning the design and implementation of the homeless count mobile app, providing targeted mapping, and for data cleaning.

Brent Rolfe, Systems Development Team Leader
Lindsay King, GIS Business System Analyst
Natalie M. Campos, Business System Analyst III
 Special thanks to our research consultants, the Institute for Urban Initiatives, for their expertise and guidance through the entire Point-In-Time Count and Subpopulation Survey process, including methodology development and implementation, planning coordination and guidance, and production of the final report.

Joe Colletti, PhD, Executive Director
Sofia Herrera, PhD, Research Director
Thelma Herrera, Graphic Designer

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6 Table of Contents
Page
I. Executive Summary 7
Unsheltered Persons 9
Sheltered Persons 14
Next Steps and Recommendations 16
II. Background Information 22
When was the count conducted? 22
Who was counted? 22
Who was not counted? 22
Who carried out the Count 23
III. Methodology 25
IV. Unsheltered Subpopulation Summaries 33
Appendix A: Comparison of Total Number of Persons
Counted in 2019 to 2020 by City 42
Appendix B: Findings for Each Jurisdiction for
Unsheltered Adults Only 43
Appendix C: Percent of Unsheltered Adults Who Were
Surveyed by Jurisdiction 110

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7 I. Executive Summary
There were 3,125 persons who were counted as homeless on Thursday, January 23, 2020. The previous homeless count and subpopulation survey was completed in 2019 when 2,607 persons were counted. A comparison of the last two counts reveals that  518 more persons were counted in 2020, which represents an increase of 19.9%;  470 more persons were counted as unsheltered in 2020 when compared to the unsheltered count in 2019, which represents an increase of 24.5%; and  48 more persons were counted as sheltered in 2020 when compared to the sheltered count in 2019, which represents an increase of 7.0%.

Table 1. Comparison of 2019 and 2020 Homeless Counts
Sheltered Unsheltered Total
2019 Homeless Count 687 1,920 2,607
2020 Homeless Count 735 2,390 3,125
Difference: +48 (7.0%) +470 (24.5%) +518 (19.9%)
The following table provides a breakdown of the total number of sheltered and unsheltered persons counted in 2020 by jurisdiction.

Table 2. Total Number of Sheltered and Unsheltered Adults and Children by Jurisdiction Jurisdiction Sheltered Unsheltered Total
Shelter Transitional Hg
Adelanto 0 13 11 24
Apple Valley 7 0 24 31
Barstow 3 27 78 108
Big Bear City/Sugarloaf 0 0 12 12
Big Bear Lake 2 0 0 2
Bloomington 0 0 19 19
Cajon Canyon 0 0 0 0
Chino 0 0 31 31
Chino Hills 0 0 2 2
Colton 0 0 136 136
Crestline 0 0 22 22
Fontana 0 0 116 116

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8 Jurisdiction Sheltered Unsheltered Total
Shelter Transitional Hg
Grand Terrace 0 0 5 5
Hesperia 7 6 19 32
Highland 0 0 78 78
Joshua Tree 0 5 54 59
Lake Arrowhead 0 0 11 11
Landers 0 0 2 2
Lenwood 0 0 0 0
Loma Linda 0 24* 27 51
Lytle Creek 0 0 0 0
Mentone/Crafton 0 0 0 0
Montclair 0 0 54 54
Morongo Valley 0 5 0 5
Muscoy 0 0 24 24
Needles 0 0 16 16
Ontario 14 14 74 102
Phelan/Pinion Hills 0 0 2 2
Rancho Cucamonga 3 3 48 54
Redlands 45 0 141 186
Rialto 0 0 115 115
Running Springs 0 0 1 1
San Bernardino 183 50 823 1,056
Twentynine Palms 17 0 28 45
Upland 0 0 44 44
Victorville 132 21 298 451
West Cajon Valley 0 0 0 0
Yermo 0 0 0 0
Yucaipa 4 0 13 17
Yucca Valley 8 19 44 71
County-wide or Unknown 112 11 18 141
Total: 537 198 2390 3,125
*Beds are a Safe Haven.

Table 3 notes that nearly three-fourths (72.6%) or 2,270 of the 3,125 homeless adults and children were counted within eight cities that include Barstow, Colton, Fontana, Ontario, Redlands, Rialto, San Bernardino, and Victorville. These eight cities accounted for three-fourths

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9 (74.5%) of the total unsheltered population as well as nearly three-fourths (70.2%) of persons counted in shelters and transitional housing including a safe haven program.

Table 3. Jurisdictions with Largest Number of Homeless Persons Jurisdiction Sheltered Unsheltered Total
Shelter Transitional Hg
County 537 198 2390 3,125
Barstow 3 27 78 108
Colton 0 0 136 136
Fontana 0 0 116 116
Ontario 14 14 74 102
Redlands 45 0 141 186
Rialto 0 0 115 115
San Bernardino 183 50 823 1,056
Victorville 132 21 298 451
Total: 377 112 1781 2,270
Unsheltered Persons
Of the 3,125 persons counted in 2020, 2,390 or more than three-fourths (76.5%) were unsheltered, which is defined by the U.S. Department of Housing and Urban Development (HUD) as
“An individual or family who lacks a fixed, regular, and adequate nighttime residence, meaning: (i) An individual or family with a primary nighttime residence that is a public or private place not designed for or ordinarily used as a regular sleeping accommodation for human beings.”
HUD also requires that the total number of unsheltered and sheltered adults be broken down by various subpopulations including age, gender, race, and ethnicity. Of the 2,390 unsheltered persons counted, 2,361 were adults, 8 were unaccompanied youth under age 18, and 21 were children under age 18 in families.

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10 Gender
The following table provides a breakdown by gender for adults, unaccompanied youth under age 18, and children in families under age 18. HUD requires the summary to consist of men, women, transgender, and gender non-conforming (i.e., not exclusively male or female).

Nearly three-fourths (71.5%) of adults and children were male and more than two-thirds (27.8%) were female.

Table 4. Breakdown by Gender (n=2,390)
Adults
Children in
Families
Unaccompanied
Youth Under
Age 18
# % # % # %
Male 1,688 71.5 10 47.6 3 37.5
Female 656 27.8 11 52.4 4 50.0
Transgender 3 0.1 0 0.0 0 0.0
Gender Non-Conforming 14 0.6 0 0.0 1 12.5
Total: 2,361 100 21 100 8 100
Ethnicity
Table 5 offers a breakdown by ethnicity. HUD requires the summary to consist of Hispanics or Latinos and non-Hispanics or Latinos.

Nearly one-third (30.4%) of adults and children were Hispanic or Latino.

Table 5. Breakdown by Ethnicity (n=2,390)
Adults Children in
Families
Unaccompanied
Youth Under
Age 18
# % # % # %
Hispanic or Latino 718 30.4 7 33.3 3 37.5
Non-Hispanic or Latino 1,643 69.6 14 66.7 5 62.5
Total: 2,361 100 21 100 8 100

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11 Race
Table 6 provides a breakdown by race. It is important to note that instructions from HUD were to include Hispanics or Latinos in the race categories listed below because the designation “Hispanic or Latino” does not denote race.

Table 6. Breakdown by Race (n=2,390)
Adults Children in
Families
Unaccompanied
Youth Under
Age 18
# % # % # %
American Indian
or Alaska Native 57 2.4 1 4.8 0 0.0
Asian 18 0.8 0 0.0 0 0.0
Black or African American 505 21.4 6 28.6 0 0.0
Native Hawaiian or
Other Pacific Islander 17 0.7 0 0.0 0 0.0
White 1,345 57.0 11 52.3 5 62.5
Other 419 17.7 3 14.3 3 37.5
Total: 2,361 100 21 100 8 100
Age
The next table offers a breakdown by age for adults and unaccompanied children under age 18.

Table 7. Breakdown by Age for Adults and Unaccompanied Children under Age 18 (n=2,390) Adults & Unaccompanied Children Under Age 18 # %
Under Age 18 29 1.2
Age 18 – 24 166 6.9
Age 25 – 39 827 34.6
Age 40 – 49 553 23.2
Age 50 – 54 335 14.0
Age 55 – 61 307 12.8
Age 62+ 173 7.3
Total: 2,390 100

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12 Other Subpopulations
Table 8 provides a breakdown of other subpopulations for adults and unaccompanied children under age 18.

Table 8. Breakdown by Subpopulations (n=2,361)
Subpopulations: # %
Chronically Homeless Adults 691 29.3
Families including Chronically Homeless Families* 14 ** Persons w/HIV/AIDS 21 0.8
Persons w/Mental Health Problems 440 18.6
Substance Users 497 21.1
Unaccompanied Women 640 27.1
Veterans*** 185 7.8
Experiencing Homelessness Because Fleeing Domestic
Violence, Dating Violence, Sexual Assault, or Stalking 88 5.8 *Families:
 Of the 14 families, 3 were chronically homeless that included 4 adults and 4 children.  The total number of adults in the 14 families was 18 and represents 0.8% of the total adult population of 2,361.
**14 families consisted of 18 adults and 21 children.
***Veterans:
 40.2% or 74 veterans were chronically homeless Individuals.

Other Survey Questions
Questions Asked in 2019 and 2020
There were additional questions that were added to the survey that were shaped by local stakeholders. The questions are noted below. Volunteers were able to elicit responses from 1,517 adults.

First Time Homeless
Did you become homeless for the first time during the past 12 months?  28.6% or 434 of the 1,517 adults stated “yes.”

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13 Chronic Health Condition
Has a doctor or other medical professional ever told you that you have a chronic health condition that is life-threatening such as heart, lung, liver, kidney or cancerous disease?  20.4% or 310 of the 1,517 adults stated “yes.”
Released from Prison or Jail
Were you released from prison or jail during the past 12 months?  22.8% or 346 of the 1,517 adults stated “yes.”

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14 Sheltered Persons
Of the 3,125 persons counted in 2020, 735 persons or 23.5% were sheltered. Among the 735 sheltered persons, 537 were counted in shelters or received a motel voucher and 198 were counted in transitional housing programs, including a safe haven program. HUD states that persons living in shelters or transitional housing programs (including safe haven programs) on the night of the count must be included in the homeless count and subpopulation survey.

As required by HUD, the sheltered count included the number of persons and households sleeping in emergency shelters (including seasonal shelters) and transitional housing programs that were listed on the Housing Inventory Chart (HIC). In addition, any persons staying in hotels or motels as a result of receiving a voucher from a social service agency were included in the sheltered count per HUD’s instructions if the voucher program was listed on the HIC.

HUD also requires that the total number of sheltered persons be broken down by pre-designated subpopulations. The total number of sheltered persons by the pre-designated subpopulations for 2020 are listed in the table below.

The Homeless Inventory Count (HIC) was submitted by the Office of Homeless Services (OHS) staff to HUD in April 2018. Prior to the homeless count, the HIC was specifically undated to include any new programs or exclude any programs no longer operational by OHS staff and Key Person Task Force members. A few changes were made to the HIC prior to the count.

HUD encourages the use of Homeless Management Information Services (HMIS) data to generate sheltered counts and subpopulation data for programs with 100% of beds participating in HMIS.

Therefore, HMIS was used to gather the total number of occupied beds and the number of persons for each subpopulation. A “Data Collection Instrument” was used to collect the total number of occupied beds and the number of persons for each subpopulation for nonparticipating HMIS programs and for HMIS participating agencies that do not have their HMIS data complete and correct. The same questions used to collect subpopulation data through HMIS were used for the data collection instrument. Thus, sheltered count data for all sheltered programs was gathered either through a data collection sheet or HMIS.

The following table provides a breakdown of the sheltered population (735 adults and children) by the subpopulations required by HUD.

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15 Table 9. Sheltered Population by Subpopulations
Subpopulation Number Percent
American Indian or Alaska Native 15 2.04
Asian 6 <1
Black/African American 232 31.5
Chronically Homeless Families (# of families) 1 <1
Chronically Homeless Families (total persons) 2 <1
Chronically Homeless Individuals 59 8.03
Chronically Homeless Veteran Individuals 25 3.40
Don’t Know (Race) 4 <1
Female 381 51.84
Hispanic/Latino 314 42.7
Households (total number) 483 65.71
Male 353 48.03
Multiple Races 43 5.85
Native Hawaiian or Other Pacific Islander 3 <1
Non-Hispanic/Latino 421 57.28
Number of Persons in Households 735 100
Persons Over Age 24 453 61.63
Persons with HIV/AIDS 11 1.50
Persons with Mental Health Problems 88 11.97
Persons with Substance Abuse Problems 38 5.17
Refused to Answer Race 7 <1
Refused to Answer Ethnicity 0 0
Transgender 1 <1
Unaccompanied Women 175 24
Veterans 51 7
Victims of Domestic Violence 59 8
White 425 57.8
Youth Ages 18 – 24 44 6
Youth Under Age 18-Households w/only children 10 1.36
*There were 483 households that made up the total number of sheltered persons, which was 735. Number and percentage are not cumulative.

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16 Next Steps and Recommendations
This section outlines 11 steps that the San Bernardino County Continuum of Care should take to help end homelessness. These steps are aligned with several evidence-based and best practices that have helped achieve unprecedented decreases in the total number of homeless persons, particularly among families, chronic homeless persons, and veterans across the country.

The 11 steps/recommendations include:

1. Recognize the Recent Evolution of Homelessness as a Human Services Crisis The recent significant increases of local homelessness should be recognized as a human services crisis that must be met with a wide-range of human services that mitigate primary factors that contribute to persons languishing homeless on the streets. Factors include:
 Managing life-threatening illnesses while living on the streets;  Coping with progressive end-stage diseases leading to terminal illnesses;  Aging on the streets;
 declining mental illnesses, which is often accompanied by a general disregard to self.

2. Create and Coordinate a County Strike Force Team
A Strike Force Team should be created and coordinated to care for treat life-threatening illnesses, progressive end-stage diseases leading to terminal illnesses, aging, and declining mental illness.

Strike Force Team members should include the following county departments:
 Public Health;
 Behavioral Health;
 Aging and Adult Services;
 Transitional Assistance;
 Children and Family Services;
 Sheriff’s Department HOPE Team;
 InnROADs project;
 Office of Homeless Services.

Strike Force Team should meet on an on-going basis to coordinate efforts.

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17 3. Augment Strike Force Team
The Strike Force Team should be augmented by a wide-range of public and private organizations that includes coordination with city homelessness resources and designated staff, and health, mental health, aging, family, and children private sector service providers.

4. Encourage each city to adopt its unsheltered homeless count numbers as baseline numbers.

Each city should be encouraged to adopt the results of the unsheltered homeless count in its jurisdiction as noted in Appendix A. After the cities adopting their numbers, each city should be encouraged to implement the other steps below.

5. Increase the Number of Permanent Supportive Housing Units.

Each jurisdiction should consider increasing its number of permanent supportive housing units in order to meet the needs of those homeless persons with disabling conditions who were counted within its neighborhoods. These persons are noted by jurisdiction in Appendix A and include persons with mental illness, substance abuse, and physical disabilities. Jurisdictions with significant numbers of chronic homeless persons, veterans, and persons recently released from correctional institutions after serving a court-mandated sentence should also consider increasing their number of permanent supportive housing units. Increases in units should be based on evidence-based practices to ensure success.

Permanent Supportive Housing provides long-term affordable rental housing and a broad range of on-site and/or off-site wrap-around supportive services. The goal is to increase independent living skills of residents who pay no more than 30% of their monthly income for rent so that they can maintain their housing. Those persons without permanent disabling conditions may ultimately become self-sufficient while living in affordable housing and may eventually pay 100% of their rent and may or may not need supportive services.

6. Set an annual quantifiable number of permanent supportive housing units to be developed based on the number of unsheltered chronically homeless individuals identified in the recent Point-in-Time homeless count, Homeless Management Information System (HMIS), and Coordinated Entry System (CES) An annual quantifiable number of permanent supportive housing units should be set based on the number of unsheltered chronically homeless households in the recent Point-in-Time homeless count, Homeless Management Information System (HMIS), and Coordinated Entry

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18 System (CES). Once annual numbers have been set, progress towards achieving each year’s goal should be reported regularly.

Persons with Life-threatening Chronic Health Conditions Particular attention should be given to those persons who are languishing on the streets and who have life-threatening chronic health conditions. During the recent point-in-time count, persons counted were asked “Has a doctor or other medical professional ever told you that you have a chronic health condition that is life-threatening such as heart, lung, liver, kidney or cancerous disease? As noted on page 13, 310 unsheltered persons or 24.4% of all unsheltered adults surveyed stated “yes.”
Persons Aging on the Streets
Particular attention should also be given to persons aging on the streets. There is a significant number of persons who are aging on the streets.

In 2020, the number of persons counted as unsheltered who were age 55+ was 480. In 2019, the number of persons counted as unsheltered who were age 55+ was 422. In 2018, the number of persons counted as unsheltered who were age 55+ was 246. This represents an increase of 234 persons age 55+ between 2018 and 2020 or 95.1%.

According to emergent research in this area, the growth of elder homelessness can be attributed to the aging of existing chronically homeless individuals. Thus, it is important to target the needs of older adults experiencing homelessness by making sure that housing is accessible to persons with disabilities and that transportation to medical or healthcare appointments is available.

Persons Recently Released from Correctional Institutions Particular attention should also be given to persons recently released from correctional institutions since realignment has resulted in thousands of prisoners being released or transferred to county jails. As noted on page 13, nearly one-fourth (22.8%) of persons surveyed answered “yes” when asked if they were released from a correctional institution such as a jail or prison during the past 12 months after serving a court-ordered sentence.

Permanent supportive housing for ex-offenders should be based on evidence-based practices that have resulted in optimal outcomes for homeless ex-offenders reentering communities.

These practices include the provision of housing with appropriate wrap-around services such as substance abuse counseling and treatment and life coping skills that help ex-offenders

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19 successfully transition into local communities. These practices also include a clear path to career development and/or employment and reunification with family members including children.

Optimal outcomes include reductions in recidivism and recurrence of homelessness. The chances of recidivism significantly lessen when offenders are re-engaged with family members and in particular with their children. The chances of recidivism also significantly lessen when offenders develop marketable skills that lead to on-going employment. Employment also encourages exoffenders to take the initial steps to reunite with family members. The chances of ex-offenders becoming homeless again also significantly lessen with on-going employment and efforts to foster relationships with family members after reunification.

7. Prioritize through the Coordinated Entry System the most vulnerable and frail persons who are languishing on the streets including those with life-threatening health conditions and/or who are aging on the streets
The most vulnerable and frail persons who are languishing on the streets should be prioritized for permanent supportive housing through the Coordinated Entry System (CES). Such persons should include those with life-threatening health conditions and/or who are aging on the streets.

Related language in the written standards and the policy and procedures for the CES should be updated to reflect this prioritization.

8. Completely align with a Housing First model and low barrier approach for chronically homeless individuals and families consistent with federal, state, and local approaches.

Aligning a coordinated system with a Housing First and low barrier approach will help chronically homeless households obtain and maintain permanent affordable housing, regardless of their service needs or challenges, by removing barriers that hinder them from obtaining and maintaining permanent affordable housing.

Chronically homeless persons can achieve stability in permanent housing, regardless of their service needs or challenges, if provided with appropriate levels of services. Through this approach, barriers are removed that have hindered homeless persons from obtaining housing such as too little income or no income; active or history of substance use; criminal record, with exceptions for state-mandated restrictions, and history of having been or currently a victim of domestic violence (e.g., lack of a protective order, period of separation from abuser, or law enforcement involvement). Furthermore, through this approach barriers that have hindered homeless persons from maintaining housing are removed, such as failure to participate in

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20 supportive services; failure to make progress on a service plan; loss of income or failure to improve income; and fleeing domestic violence.

9. Completely align with a rapid rehousing and low barrier approach for nonchronically homeless individuals and families.

Aligning a coordinated system with a rapid rehousing and low barrier approach will help nonchronically homeless households obtain and maintain permanent affordable housing regardless of their service needs or challenges by removing barriers that hinder them from obtaining and maintaining permanent affordable housing.

Rapid rehousing assistance helps individuals and families quickly exit homelessness to permanent housing. Rapid rehousing assistance is offered without preconditions (such as employment, income, absence of criminal record, or sobriety), and the resources and services provided are typically tailored to the unique needs of the household. The core components of a rapid rehousing program include housing identification services, financial assistance for rent and movein, and accompanying case management and supportive services. While the program has all three-core components available, it is not required that a household utilize them all.

10. Align the current homeless services delivery system with a goal of ending homelessness among unaccompanied women.

Unaccompanied women experiencing homelessness often present with complex histories of cumulative trauma exposure, substance use, mental illness, and chronic disease among other conditions and circumstances. However, despite evidence that housing along with supportive services is the best intervention to end homelessness, continuums of care across the country have yet to identify the nature of specific interventions through a gender lens. Identifying interventions that benefit and maximize women’s access to services as well as housing with supportive services is an overdue priority. Trauma-informed care should be a top priority.

There is room for innovation. Identifying factors that promote housing retention and housing stability among women is highly encouraged. This includes interventions aligned with a Housing First approach that work best to support the ultimate goals of housing, promotion of wellbeing, and the promotion of thriving or human flourishing for women who have experienced homelessness.

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21 11. Increase Rapid Rehousing Assistance
Efforts to rapidly rehouse households should include a focus on households living in vehicles. The 2020 homeless count and survey included the question, “Where did you sleep last night.” Nearly 200 households slept in a car, truck, van, or RV that was in disrepair.

As it was stated before, Rapid rehousing assistance helps individuals and families quickly exit homelessness to permanent housing. Rapid rehousing assistance is offered without preconditions (such as employment, income, absence of criminal record, or sobriety), and the resources and services provided are typically tailored to the unique needs of the household. The core components of a rapid re-housing program include housing identification services, financial assistance for rent and move-in, and accompanying case management and supportive services.

While a rapid re-housing program has all three-core components available, it is not required that a household utilize them all.

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22 II. Background Information
HUD, as part of its requirements for local jurisdictions to continue to receive continuum of care funding for homeless persons, asks local jurisdictional applicants to conduct a “one-day point-intime” homeless count every other year during the last 10 days of January. The County of San Bernardino is one of approximately 400 jurisdictions that submit an annual application to HUD for continuum of care funding.

When was the count conducted?
The homeless count was conducted on the streets during the hours of 6 a.m. and 10 a.m. on January 23, 2020. The count was also conducted on the same day in shelters and transitional housing programs throughout the county for persons who slept in these programs beginning the night before.

HUD does allow counting under certain circumstances such as hard-to-reach and remote places up to a week after the count as long as persons were asked if they were homeless on the day of the count and a unique identifier is used to prevent duplication. A limited amount of counting occurred during the Monday and Tuesday following the count in a few hard-to-reach and remote places. Persons were asked if they were homeless on the day of the count and a unique identifier was used to prevent duplication as described in the Methodology section below.

Who was counted?
Per HUD’s instructions, a person was considered homeless, and thus counted, only when he/she fell within the HUD-based definition by residing in one of the places described below:
 In places not meant for human habitation, such as cars, parks, sidewalks, and abandoned buildings;
 In an emergency shelter; and
 In transitional housing for homeless persons.

Who was not counted?
Per HUD’s instructions, a person was not considered homeless if the person resided in one of the following places noted below
 Medical facilities, such as hospitals, psychiatric facilities, and nursing homes;  Jails, prisons or juvenile detention facilities;
 Chemical dependency facilities, such as substance abuse treatment facilities and detox centers;

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23  Foster care homes or foster care group homes.

Also, per HUD’s instructions, children identified by McKinney-Vento Homeless Coordinators at schools as homeless should not be counted. Children may be counted during the count if they live in an emergency shelter or transitional housing program, or if they are unsheltered.

Lastly, HUD does not consider the following persons to be homeless—persons who are “doubled up,” or persons who are “near homelessness”—but considers them to be at risk of becoming homeless. Thus, such persons were not included in the homeless count.

The County of San Bernardino, like many other counties, has a substantial number of households that are at risk of becoming homeless. The Census Bureau noted that 18 percent or nearly 132,000 households consisting of about 400,000 residents in San Bernardino County were living below the poverty level as reported in the 2018 American Community Survey. Also, according to the U.S. Census Bureau, there were more than 120,000 households consisting of about 400,000 persons (nearly one of every five residents) in San Bernardino County who were members of a household whose annual income was less than $25,000 in 2018. There were approximately 65,000 households consisting of approximately 200,000 persons whose annual income was less than $15,000 a year.

Many of these persons can become homeless because of social structural issues such as increases in rent, loss of jobs, and rising health care costs. In addition, personal experiences such as domestic violence, physical disabilities, mental illness, and substance abuse can cause members of a low-income household or an entire household to become homeless. Often, one or more of these experiences factor into a household’s homelessness experience.

Who carried out the count?
The homeless count and subpopulation survey was a joint effort of the San Bernardino County Homeless Partnership, the San Bernardino County Office of Homeless Services, and the Institute for Urban Initiatives. Approximately 600 community volunteers were recruited to implement the count and subpopulation survey. As noted in the Acknowledgements section of this report, there were nearly 30 agencies that contributed staff time and office space for training and deployment of counters and there were 24 law enforcement agencies that provided their time, knowledge, and expertise concerning locations of homeless persons. Also, there were nearly 30 additional agencies that helped with the planning process, including the San Bernardino County Information Services Department, which created maps to guide counters.

The San Bernardino County Homeless Partnership (SBCHP) was formed to provide a more focused approach to issues of homelessness within the County. Its primary purpose is to develop a countywide public and private partnership and to coordinate services and resources to end homelessness in San Bernardino County. The Partnership consists of community and faith-based organizations, educational institutions, non-profit organizations, private industry, and federal,

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24 state, and local governments. SBCHP was developed to promote a strong collaboration between agencies to direct the planning, development, and implementation of the County’s 10-year Strategy to end chronic homelessness. The Partnership provides leadership in creating a comprehensive countywide network of service delivery to the homeless and near-homeless families and individuals through facilitating better communication, planning, coordination, and cooperation among all entities that provide services and/or resources to relieve homelessness.

The San Bernardino County Office of Homeless Services (OHS) serves as a “clearinghouse” of homeless issues for all County departments. Any homeless issues encountered by County staff can be referred to this office for resolution. OHS staff plays a vital role in the San Bernardino County Homeless Partnership as the administrative support unit to the organization. OHS insures that the vision, mission and goals of the Partnership are carried into effect.

The Institute for Urban Initiatives consists of several community-based and faith-based institutes that respond to the economic, housing, and social needs of neighborhoods, cities, and counties from local community, regional, national, international, and faith-based perspectives and has completed over 50 assessments for local government and private organizations throughout Southern California that have focused on affordable housing, business development and education for micro-businesses, fair housing, homelessness, migrant farming, and street vending. For more information visit www.urban-initiatives.org.

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25 III. Methodology
Unsheltered Count and Subpopulation Survey
As in past years, the following activities were conducted: 1) organizing the count and subpopulation survey; 2) coordinating the count and subpopulation survey; 3) implementing the count and subpopulation survey; and 4) analyzing the sub-population data. However, the third activity, implementing the count and subpopulation survey, significantly changed as described in sub-section 3 below. Also, the fourth activity, analyzing the sub-population data, significantly changed as a result of a much lower number of completed surveys compared to past years as described in sub-section 4 below.

1. Organizing the Count and Subpopulation Survey
Organizing the count consisted of the following four activities: a) the county was divided into organizational regions; b) the organizational regions were divided into planning communities; c) the planning communities were divided into implementation areas; and d) the implementation areas were divided into count zones.
a. County was Divided into Organizational Regions
The County was divided into the following organizational regions:
 West Valley which consisted of the area west of the City of San Bernardino including the cities of Chino, Chino Hills, Colton, Fontana, Montclair, Ontario, Rancho Cucamonga, Rialto, Upland, and the surrounding unincorporated areas.  East Valley which consisted of the City of San Bernardino and all areas south and east including the cities of Grand Terrace, Highland, Loma Linda, Redlands, Twenty-nine Palms, Yucaipa, Yucca Valley, and the surrounding unincorporated communities along with the San Bernardino Mountain communities.
 High Desert which consisted of the area north of the San Bernardino Mountains including the cities of Adelanto, Apple Valley, Barstow, Hesperia, Needles, Victorville and the surrounding unincorporated communities.
b. Organizational Regions were Divided into Planning Communities Each of the three Organizational Regions was divided into 20 planning communities of incorporated cities and/or unincorporated jurisdictions to plan and implement the activities below. The County consists of 24 incorporated cities and over three dozen unincorporated communities. However, not all of these cities and counties were included in the 20 planning communities because they were determined by key persons as not having any homeless persons

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26 who live, congregate, or receive services. Table below lists the incorporated cities and unincorporated communities within each of the 20 planning communities. # Community
Planning Area
Incorporated Cities &
Unincorporated Communities
1 Barstow City of Barstow and the unincorporated communities of Baker, Fort Irwin, Lenwood, Searles Valley, and Yermo.
2 Big Bear Region City of Big Bear Lake and the unincorporated communities of Big Bear City, Crestline, Lake Arrowhead, and Running Springs. 3 Chino City of Chino
4 Chino Hills City of Chino Hills
5 Colton City of Colton
6 Fontana City of Fontana and the unincorporated communities of Bloomington and Lytle Creek.
7 Grand Terrace City of Grand Terrace
8 High Desert Cities of Adelanto, Apple Valley, Hesperia, Victorville, and the unincorporated communities of Lucerne Valley, Mountain View Acres, Oak Hills, Phelan, Pinon Hills, Silver Lake, Spring Valley Lake, and Wrightwood.
9 Highland City of Highland
10 Loma Linda City of Loma Linda
11 Montclair City of Montclair
12 Morongo Basin Cities of Twentynine Palms and Yucca Valley and the unincorporated communities of Homestead Valley, Joshua Tree, and Morongo Valley.
13 Needles City of Needles and the unincorporated communities of Big River and Bluewater.
14 Ontario City of Ontario
15 Rancho Cucamonga City of Rancho Cucamonga
16 Redlands City of Redlands and the unincorporated community of Mentone. 17 Rialto City of Rialto
18 San Bernardino City of San Bernardino and the unincorporated community of Muscoy.
19 Upland City of Upland and the unincorporated community of San Antonio Heights.
20 Yucaipa City of Yucaipa and the unincorporated community of Oak Glen.

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27 c. Planning Communities were Divided into Implementation Areas Each of the Planning Communities was divided into Implementation Areas, which were designated as Red, Yellow, or Green Areas according to the definitions below.  Red Areas were defined as implementation areas where there are no homeless persons as determined by local community representatives and stakeholders; Red areas included those areas that are either remote and/or uninhabitable, which were primarily small rural communities that are spread throughout the desert and mountain regions of the county.
 Yellow Areas were defined as implementation areas where only professional outreach workers might go. These areas may prove too difficult to cover and/or unsafe for volunteer counters, such as community representatives or stakeholders, in their effort to count and survey homeless persons. Immediately prior to, or immediately after the count, local professional representatives involved in the homeless count such as law enforcement or street outreach workers verified if homeless persons lived in these areas and determined the number of homeless persons who were included in the count;  Green Areas were defined as implementation areas where homeless persons can be found as determined by local community representatives.

All of the incorporated cities in the county, along with significant areas within their surrounding unincorporated territory, were identified by local key person teams as Green Areas. d. Implementation Areas were Divided into Count Zones
Implementation Areas that were designated as Green Areas were divided into Count Zones.

Teams of Counters were deployed to designated count zones within each of the Green Areas.

Teams of Counters were not deployed to Yellow or Red Areas.

2. Coordinating the Count and Subpopulation Survey
Coordinating the count and subpopulation survey included implementing the following activities in each local Planning Community: 1) establishing a key-persons’ team; 2) distinguishing areas within the planning community where homeless people live; 3) identifying places where homeless people live within the identified areas; 4) identifying places where homeless people receive social services; 5) raising public awareness and community involvement; and Implementing the Count and Subpopulation Survey.

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28 a. Establishing a Community Key-Persons’ Team
A Community Key Person Team was established for each planning community and consisted of representatives from public and private organizations who were knowledgeable about homelessness and where homeless persons live. Such key persons included representation from business, civic, educational, faith-based, law enforcement, local government, neighborhood, and nonprofit organizations. Homeless and persons with lived experience were also encouraged to join.
b. Distinguishing Implementation Areas within the Planning Community Each Community Key-Persons’ Team distinguished implementation areas within their planning community where homeless people could be found. Such areas included a quadrant or section of a city or unincorporated area or an entire neighborhood. Those sections of the planning community where homeless persons could be found were designated as Green Areas.

Conversely, those sections where homeless persons are known not to live or spend time were designated Red Areas.
c. Identifying Verifiable Places where Homeless People Live/Congregate Each Community Key Person Team also identified specific locations where homeless people live and/or congregate within their designated Green Areas. Such places included abandoned buildings, commercial areas, parks, sidewalks, vacant lots and vehicles. Known encampments were also specifically identified within Green Areas. Other places included a whole neighborhood or a specific length of a street. Such information remains confidential. d. Identifying Places where Homeless People Receive Social Services Each Community Key Person Team also identified non-residential locations and/or programs where homeless people go to receive social services and other forms of assistance. Programs included locations that distributed packaged food and/or clothing, serve meals, and provide shower or laundry services, including those operated by faith-based organizations. Other program sites included those that were known to provide domestic violence, health care, mental health care, substance abuse, transportation, and veteran services for homeless persons. e. Raising Public Awareness and Community Involvement
The primary purpose of raising public awareness and community involvement was to recruit volunteers to help implement the count in each planning community. Volunteers were recruited both locally and countywide from a wide-range of sources including city and county employees, homeless service providers, other social service agencies, non-profit organizations, faith-based institutions, local businesses, civic organizations, educational institutions, currently and formerly homeless individuals and other interested community stakeholders.

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29 Flyers and other materials were developed for distribution at community meetings and forums, media outlets and various public facilities, service locations, churches, college campuses, and other public locations. A project website was established with general project information and volunteer outreach materials. Volunteer registration was also promoted through the web site during the months leading up to the day of the count.

Community involvement included creating teams of volunteers to count homeless persons in designated Green zones. Teams included persons who were involved in community service or interested in community service. Teams also included persons who had considerable exposure as well as little exposure to homelessness.

3. Implementing the Count and Subpopulation Survey
After a pilot program was conducted in the Morongo Basin in 2018, the decision was made to transition from a paper survey to a digital survey County-wide in 2019 using Esri’s ArcGIS software platform. The 2019 and 2020 Homeless Point-in-Time Count was a configuration of Survey 123 for ArcGIS and Operations Dashboard for ArcGIS that was used by the County’s Office of Homeless Services in partnership with the Information Services Department to conduct the 2020 homeless count and survey.

The Homeless Point-in-Time Count solution included the following applications:
 Homeless count survey, which included nearly 30 questions to meet HUD requirements concerning the collection of data for designated subpopulations and to meet local requests for additional information about the homeless population;  Homeless count dashboard, which was used to monitor results of a Point-in-Time Count in real time;
 Homeless count results application that provided for instant viewing of data and tables that detailed point-in-time results.

Rather than fill out surveys using a pen, paper, and clipboard, volunteers instead used Suvey123 for ArcGIS. The digital survey form was designed to simplify the surveyor’s experience; only relevant questions were displayed based on the answers already entered, eliminating the need for surveyors to devote time and effort to determine which questions to ask, and resulting in a simpler linear surveying experience.

Additional logic was built into the form to perform calculations behind-the-scenes. For example, the form combined the answers from a subset of questions to determine whether the respondent met HUD’s definition of chronically homeless, and calculated the result instantly as the survey

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30 was completed. Extensive testing was conducted to ensure the various combinations of factors all successfully calculated to a correct result. These calculations allowed for real-time monitoring of such metrics as the count was taking place using an Operations Dashboard, and ultimately eliminated the need for them to be calculated after the count was completed.

An added benefit of using digital surveys was the capture of location information. When a survey was conducted, the GPS location of the surveyor’s mobile device was captured, providing a geographic location of where the survey took place, and opening up opportunities for mapping and analyses not possible in previous years. (For safety and privacy reasons, location information was not captured for surveys of sheltered homeless persons.) Upon completion of the count, the data were examined and scrubbed to remove any invalid records, such as practice surveys submitted before the official start of the count. Steps were also taken to ensure that duplicate records – instances where the same individual was surveyed more than once in the same location – were identified and removed.

Two Significant Changes
There were two significant changes that took place again this year when compared to past years as a result of the activities noted above. One was targeted mapping and the other was closer monitoring of undercounted areas.

Targeted mapping
The use of the ESRI application provided for the instant pinpoint mapping of homeless individuals on the day of the count, which was a methodological change from previous years in which mapping of homeless concentrations was pre-determined. This contributed to the assigned areas being more thoroughly canvassed than in past years and to potentially counting more homeless individuals.

Locations of homeless persons and encampments from the HOPE Team Homeless Contact app were layered on the printout maps given to teams of volunteer counters, which was also done last year.

Maps of zones and specific areas within jurisdictions were provided again this year to teams of volunteer counters and included the known locations provided by key persons within the jurisdictions. Maps included known locations from the HOPE Team Homeless Contact app. These locations are the result of professional HOPE Team members mapping homeless persons that they assist throughout the year.

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31 The zone maps given to teams of volunteers this year were created by:
 creating a map of a jurisdiction;
 marking the known locations of homeless persons provided by key persons within the jurisdiction;
 marking the known locations from the HOPE Team Homeless Contact app.

The known locations from the HOPE Team Homeless Contact app were pinpoint locations. For example, a pinpoint could be behind a building or between buildings. This helped guide teams of volunteers to more exact locations within their zone this year.

Closer monitoring of undercounted areas
As previously noted, the ESRI Survey 123 app provided the ability for a homeless count dashboard, which was used to monitor results of the Point-in-Time Count in real-time. This provided instant viewing of data points on the dash board in the command center during the time of the count. Each data point represented a household counted.

If data points did not appear in areas where homeless persons were known to live during the day of the count, volunteers were sent to the area to count and persons counted were included in the total count if they were not previously counted.

If data points did not appear in areas where homeless persons were known to live, professional outreach workers were sent there the next day to these areas and persons counted were included in the total count if they were not counted the day before. HUD allows for next day counting based upon two conditions: 1) any homeless persons encountered have to be asked if they were homeless on the day of the count and 2) a unique identifier has to be created for that person.

A unique identifier was created for all persons counted on the day of the count and the day after the count. If the same unique identifier appeared twice it was assumed that it was the same person; also, a person was only included once in the total count if the person stated “yes” when asked “if they were homeless on the day of the count,” which was Thursday, January 23rd.

4. Analyzing the subpopulation data
Only adults and unaccompanied teenage children who are counted are surveyed, accompanied children in families were not. Of the 2,369 adults and unaccompanied teenage children counted, 1,517 or 66.3% were surveyed and 844 or 33.7% were observed. Counters were instructed that if they believed there was a safety issue, or if a person was sleeping, or if a person refused to be

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32 interviewed, they were to record “no” in the digital survey form for question 4, which was “Are you able to interview this person” and then to give the best guess-estimate for questions 5 – 8, which asked for gender, age, ethnicity, and race.

The current observation rates of 36.9% in 2019 and 33.7% in 2020 are much higher than in past years, which had observation rates of 20% or lower. As a result, representatives of the San Bernardino Continuum of Care conferred with HUD regarding the much higher observation rate for this year and how best to determine the number of the HUD required subpopulations that CoCs have to report to HUD. HUD recommended a stratified extrapolation, which was done.

NOTE: Stratified extrapolation was only used to determine subpopulations and not the total number of unsheltered persons, which was solely based on the number of adults surveyed and observed (2,361).

Stratified extrapolation focused on determining the numbers within the 844 observed adults that were chronically homeless, veterans, had mental illness, had a substance use disorder, and had HIV/AIDS. HUD requires CoCs to submit this subpopulation information and Congress requires HUD to use this information to help provide nationwide estimates of homelessness in the Annual Homeless Assessment Report (AHAR), which is a report that HUD is required to submit to Congress.

Following HUD’s instructions, stratified extrapolation involved:
 determining how many of the 2,361 adults were surveyed in each city and unincorporated area;
 calculating the percent of surveyed adults for each of the subpopulations based on their answers for each city and unincorporated area;
 applying the same percent of surveyed adults for each of the subpopulations to the 844 observed adults after determining how many of the 844 adults were observed in each city and unincorporated area.

For example, if in a given city, 30% of the adults surveyed were chronically homeless, the same percentage was applied to the adults observed in the given city. In other words, if 100 persons were counted as unsheltered in the given city and 60% were surveyed and 40 percent were observed, 30% of the 60% would equal 18 chronically homeless adults and 30% of the 40% would equal 12 chronically homeless persons for a total of 30 chronically homeless adults, which is 30% of the 100 adults who were either surveyed or observed.

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33 IV.Unsheltered Subpopulation Summaries
This section provides a breakdown of each of the unsheltered subpopulations listed below. The analysis only includes the responses of those persons surveyed within each subpopulation.

Others were only observed because volunteer counters felt unsafe or a homeless person was sleeping. Only adults are included in the responses because most of the survey questions asked for information that do not relate to children.

Unsheltered subpopulations include:
 Veterans;
 Chronically homeless;
 Seniors age 62+; and
 Youth ages 18 – 24.

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34 Veterans
127 of the total of 185 veterans were surveyed.

Table 10. Unsheltered Veterans (n=127)
Demographic Information Number Percent
Gender:

Male 112 88.2
Female 13 10.2
Transgender 1 0.8
Gender Non-Conforming (i.e. not exclusively male or female) 1 0.8 Don’t Know or No Recorded Answer 0 0.0
Age:
18 to 24 2 1.6
25 – 39 20 15.7
40 – 49 20 15.7
50 – 54 25 19.7
55 – 61 31 24.4
62+ 29 22.8
Ethnicity:

Hispanic or Latino 21 16.5
Race:

African American or Black 26 20.5
American Indian or Alaska Native 3 2.4
Asian 1 0.8
Native Hawaiian or Pacific Islander 2 1.6
White 77 60.6
Multiple Races or Other 16 12.6
Don’t Know 2 1.6
Became Homeless for First Time During Past 12 Months: 28 22.0 Chronically Homeless: 51 40.2
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 37 29.1

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35 Demographic Information Number Percent
HIV/AIDS: 1 0.8
Physical Disability That Seriously Limits Ability to Live Independently: 40 31.5
Developmental Disabilities: 6 4.7
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 38 29.9
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 29 22.8
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 7 5.5 Released from Correctional Institutions During Past Year: 21 16.5 Monthly Income:

No Monthly Income 74 58.3
$1 - $250 14 11.0
$251 - $500 4 3.1
$501 - $1,000 18 14.2
More Than $1,000 17 13.4
No Recorded Answer 0 0.0

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36 Chronically Homeless Adults
633 of the total of 691 chronically homeless adults were surveyed.

Table 11. Unsheltered Chronically Homeless Adults (n=633) Demographic Information Number Percent
Gender:

Male 428 67.6
Female 202 31.9
Transgender 2 0.3
Gender Non-Conforming (i.e. not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 1 0.2
Age:
18 to 24 51 8.1
25 – 39 193 30.5
40 – 49 135 21.3
50 – 54 86 13.6
55 – 61 115 18.2
62+ 53 8.4
Ethnicity:

Hispanic or Latino 184 29.1
Race:

African American or Black 105 16.6
American Indian or Alaska Native 30 4.7
Asian 7 1.1
Native Hawaiian or Pacific Islander 4 0.6
White 367 58.0
Multiple Races or Other 107 16.9
Don’t Know 13 2.1
Became Homeless for First Time During Past 12 Months: 133 21.0 Veteran Status: 51 8.1
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 185 29.2

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37 Demographic Information Number Percent
HIV/AIDS: 19 3.0
Physical Disability That Seriously Limits Ability to Live Independently: 243 38.4
Developmental Disabilities: 65 10.3
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 285 45.0
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 322 50.9
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 45 7.1 Released from Correctional Institutions During Past Year: 174 27.5 Monthly Income:

No Monthly Income 397 62.7
$1 - $250 86 13.6
$251 - $500 32 5.1
$501 - $1,000 84 13.3
More Than $1,000 30 4.7
No Recorded Answer 4 0.6

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38 Seniors Age 62+
139 of the total of 173 seniors were surveyed.

Table 12. Unsheltered Seniors Age 62+ (n=139)
Demographic Information Number Percent
Gender:

Male 107 77.0
Female 31 22.3
Transgender 0 0.0
Gender Non-Conforming (i.e. not exclusively male or female) 1 0.7 Ethnicity:

Hispanic or Latino 35 25.2
Race:

African American or Black 22 15.8
American Indian or Alaska Native 6 4.3
Asian 1 0.7
Native Hawaiian or Pacific Islander 1 0.7
White 92 66.2
Multiple Races or Other 14 10.1
Don’t Know 3 2.1
Became Homeless for First Time During Past 12 Months: 34 24.5 Chronically Homeless: 53 38.1
Veteran Status 29 20.9
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease 40 28.8
HIV/AIDS 0 0.0
Physical Disability That Seriously Limits Ability to Live Independently: 53 38.1
Developmental Disabilities: 4 2.9

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39 Demographic Information Number Percent
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently:
24 17.3
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 15 10.8
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 9 6.5 Released from Correctional Institutions During Past Year: 10 7.1 Monthly Income:

No Monthly Income 50 36.0
$1 - $250 14 10.1
$251 - $500 4 2.9
$501 - $1,000 45 32.4
More Than $1,000 25 18.0
Unknown 1 0.7

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40 Youth Ages 18 – 24
119 of the total of 166 youth ages 18 - 24 were surveyed.

Table 13. Unsheltered Youth Ages 18 - 24 (n=119)
Demographic Information Number Percent
Gender:

Male 80 67.2
Female 39 32.8
Transgender 0 0.0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0.0 Ethnicity:

Hispanic or Latino 48 40.3
Race:

African American or Black 24 20.2
American Indian or Alaska Native 4 3.4
Asian 0 0.0
Native Hawaiian or Pacific Islander 1 0.8
White 46 38.7
Multiple Races or Other 38 31.9
Don’t Know 6 5.0
Became Homeless for First Time During Past 12 Months: 39 32.8 Chronically Homeless: 51 42.9
Veteran Status 2 1.7
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 8 6.7
HIV/AIDS: 0 0.0
Physical Disability That Seriously Limits Ability to Live Independently: 8 6.7
Developmental Disabilities: 2 1.7

Page 745 of 1005 ends

41 Demographic Information Number Percent
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 31 26.1
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 49 41.2
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 3 2.5 Released from Correctional Institutions During Past Year: 34 28.6 Monthly Income:

No Monthly Income 82 68.9
$1 - $250 17 14.3
$251 - $500 11 9.2
$501 - $1,000 5 4.2
More Than $1,000 3 2.5
Unknown 1 0.8

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42 Appendix A:

Comparison of Total Number of Persons
Counted in 2019 to 2020 by City
City 2019 2020 Difference
# %
Adelanto 14 24 +10 +71.4
Apple Valley 23 31 +8 +34.8
Barstow 62 108 +46 +74.2
Big Bear Lake 39 12 -27 -69.2
Chino 23 31 +8 +35.8
Chino Hills 4 2 -2 -50
Colton 58 136 +78 +134
Fontana 94 116 +22 +23.4
Grand Terrace 1 5 +4 +400
Hesperia 24 32 +8 +33.3
Highland 72 78 +6 +8.3
Loma Linda 25 51 +26 +104
Montclair 24 54 +30 +25
Needles 29 16 -13 -44.8
Ontario 128 102 -26 -20.3
Rancho Cucamonga 58 54 -4 -6.9
Redlands 183 186 +3 -1.6
Rialto 133 115 -18 -13.5
San Bernardino 890 1,056 +166 +18.6
Twentynine Palms 40 45 +5 +12.5
Upland 58 44 -14 -24.1
Victorville 333 451 +118 +35.4
Yucaipa 16 17 +1 +6
Yucca Valley 72 71 -1 -1.4

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43 Appendix B:

Findings for Each Jurisdiction for
Unsheltered Adults

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44 Adelanto
Total Number of Unsheltered Adults: 11
Of the 11 persons counted, volunteers were able to administer 10 surveys.

Demographic Information n=10
Gender: Number Percent
Male 7 70.0
Female 3 30.0
Transgender 0 0.0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 0 0.0
Age:
18 to 24 1 10.0
25 – 39 4 40.0
40 – 49 1 10.0
50 – 54 3 30.0
55 – 61 0 0.0
62+ 1 10.0
Ethnicity:

Hispanic or Latino 3 30.0
Race:

African American or Black 4 40.0
American Indian or Alaska Native 0 0.0
Asian 0 0.0
Native Hawaiian or Pacific Islander 0 0.0
White 4 40.0
Multiple Races or Other 1 10.0
Don’t Know 1 10.0
Became Homeless for First Time During Past 12 Months: 2 20.0 Chronically Homeless: 3 30.0
Veteran Status: 2 20.0

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45 Demographic Information n=10
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 1 10.0
HIV/AIDS: 0 0.0
Physical Disability That Seriously Limits Ability to Live Independently: 3 30.0
Developmental Disabilities: 0 0.0
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 0 0.0
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 2 20.0
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 1 10.0 Released from Correctional Institutions During Past Year: 1 10.0 Monthly Income:

No Monthly Income 6 60.0
$1 - $250 2 20.0
$251 - $500 1 10.0
$501 - $1,000 0 0.0
More Than $1,000 1 10.0
No Recorded Answer 0 0.0

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46 Apple Valley
Total Number of Unsheltered Adults: 24
Of the 24 persons counted, volunteers were able to administer 20 surveys.

Demographic Information n=20
Gender: Number Percent
Male 14 70.0
Female 6 30.0
Transgender 0 0.0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 0 0.0
Age:
18 to 24 4 20.0
25 – 39 9 45.0
40 – 49 4 20.0
50 – 54 0 0.0
55 – 61 2 10.0
62+ 1 5.0
Ethnicity:

Hispanic or Latino 2 10.0
Race:

African American or Black 4 20.0
American Indian or Alaska Native 2 10.0
Asian 0 0.0
Native Hawaiian or Pacific Islander 0 0.0
White 12 60.0
Multiple Races or Other 2 10.0
Don’t Know 0 0.0
Became Homeless for First Time During Past 12 Months: 8 40.0 Chronically Homeless: 8 40.0
Veteran Status: 1 5.0

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47 Demographic Information n=20
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 5 25.0
HIV/AIDS: 0 0.0
Physical Disability That Seriously Limits Ability to Live Independently: 6 30.0
Developmental Disabilities: 1 5.0
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 3 15.0
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 5 25.0
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 1 5.0 Released from Correctional Institutions During Past Year: 14 70.0 Monthly Income:

No Monthly Income 12 60.0
$1 - $250 5 25.0
$251 - $500 0 0.0
$501 - $1,000 2 10.0
More Than $1,000 1 5.0
No Recorded Answer 0 0.0

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48 Barstow
Total Number of Unsheltered Adults: 78
Of the 78 persons counted, volunteers were able to administer 45 surveys.

Demographic Information n=45
Gender: Number Percent
Male 30 66.7
Female 15 33.3
Transgender 0 0.0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 0 0.0
Age:
18 to 24 2 4.4
25 - 39 19 42.2
40 – 49 7 15.6
50 – 54 4 8.9
55 – 61 6 13.3
62+ 7 15.6
Ethnicity:

Hispanic or Latino 10 22.2
Race:

African American or Black 5 11.1
American Indian or Alaska Native 0 0.0
Asian 0 0.0
Native Hawaiian or Pacific Islander 0 0.0
White 31 68.9
Multiple Races or Other 6 13.3
Don’t Know 3 6.6
Became Homeless for First Time During Past 12 Months: 7 15.6 Chronically Homeless: 19 42.2
Veteran Status: 4 8.9

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49 Demographic Information n=45
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 5 11.1
HIV/AIDS: 1 2.2
Physical Disability That Seriously Limits Ability to Live Independently: 4 8.9
Developmental Disabilities: 3 6.7
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 9 20.0
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 9 20.0
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 1 2.2 Released from Correctional Institutions During Past Year: 11 24.4 No Monthly Income: 34 75.6
$1 - $250 1 2.2
$251 - $500 0 0.0
$501 - $1,000 5 11.1
More Than $1,000 5 11.1
No Recorded Answer 0 0.0

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50 Big Bear City
Total Number of Unsheltered Adults: 12
Of the 12 persons counted, volunteers were able to administer 8 surveys.

Demographic Information n=8
Gender: Number Percent
Male 5 62.5
Female 3 37.5
Transgender 0 0.0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 0 0.0
Age:
18 to 24 1 12.5
25 - 39 0 0.0
40 – 49 4 50.0
50 – 54 1 12.5
55 – 61 0 0.0
62+ 2 25.0
Ethnicity:

Hispanic or Latino 1 12.5
Race:

African American or Black 0 0.0
American Indian or Alaska Native 1 12.5
Asian 0 0.0
Native Hawaiian or Pacific Islander 0 0.0
White 7 87.5
Multiple Races or Other 0 0.0
Don’t Know 0 0.0
Became Homeless for First Time During Past 12 Months: 0 0.0 Chronically Homeless: 4 50.0
Veteran Status: 0 0.0

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51 Demographic Information n=8
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 2 25.0
HIV/AIDS: 0 0.0
Physical Disability That Seriously Limits Ability to Live Independently: 2 25.0
Developmental Disabilities: 0 0.0
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 3 37.5
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 1 12.5
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 2 25.0 Released from Correctional Institutions During Past Year: 3 37.5 Monthly Income:

No Monthly Income 4 50.0
$1 - $250 1 12.5
$251 - $500 1 12.5
$501 - $1,000 2 25.0
More Than $1,000 0 0.0
No Recorded Answer 0 0.0

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52 Big Bear Lake
Total Number of Unsheltered Adults: 0
Of the 0 persons counted, volunteers were able to administer 0 surveys.

Demographic Information n=0
Gender: Number Percent
Male 0 0.0
Female 0 0.0
Transgender 0 0.0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 0 0.0
Age:
18 to 24 0 0.0
25 - 39 0 0.0
40 – 49 0 0.0
50 – 54 0 0.0
55 – 61 0 0.0
62+ 0 0.0
Ethnicity:

Hispanic or Latino 0 0.0
Race:

African American or Black 0 0.0
American Indian or Alaska Native 0 0.0
Asian 0 0.0
Native Hawaiian or Pacific Islander 0 0.0
White 0 0.0
Multiple Races or Other 0 0.0
Don’t Know 0 0.0
Became Homeless for First Time During Past 12 Months: 0 0.0 Chronically Homeless: 0 0.0
Veteran Status: 0 0.0

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53 Demographic Information n=0
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 0 0.0
HIV/AIDS: 0 0.0
Physical Disability That Seriously Limits Ability to Live Independently: 0 0.0
Developmental Disabilities: 0 0.0
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 0 0.0
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 0 0.0
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 0 0.0 Released from Correctional Institutions During Past Year: 0 0.0 Monthly Income:

No Monthly Income 0 0.0
$1 - $250 0 0.0
$251 - $500 0 0.0
$501 - $1,000 0 0.0
More Than $1,000 0 0.0
No Recorded Answer 0 0.0

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54 Bloomington
Total Number of Unsheltered Adults: 19
Of the 19 persons counted, volunteers were able to administer 10 surveys.

Demographic Information n=10
Gender: Number Percent
Male 8 80.0
Female 2 20.0
Transgender 0 0.0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 0 0.0
Age:
18 to 24 0 0.0
25 – 39 1 10.0
40 – 49 1 10.0
50 – 54 0 0.0
55 – 61 7 70.0
62+ 1 10.0
Ethnicity:

Hispanic or Latino 3 30.0
Race:

African American or Black 0 0.0
American Indian or Alaska Native 1 10.0
Asian 0 0.0
Native Hawaiian or Pacific Islander 1 10.0
White 7 7.0
Multiple Races or Other 1 10.0
Don’t Know 0 0.0
Became Homeless for First Time During Past 12 Months: 2 20.0 Chronically Homeless: 3 30.0
Veteran Status: 2 20.0

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55 Demographic Information n=10
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 3 30.0
HIV/AIDS: 0 0.0
Physical Disability That Seriously Limits Ability to Live Independently: 3 30.0
Developmental Disabilities: 2 20.0
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 3 30.0
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 3 30.0
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 1 10.0 Released from Correctional Institutions During Past Year: 2 20.0 Monthly Income:

No Monthly Income 5 50.0
$1 - $250 2 20.0
$251 - $500 1 10.0
$501 - $1,000 2 20.0
More Than $1,000 0 0.0
No Recorded Answer 0 0.0

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56 Chino
Total Number of Unsheltered Adults: 31
Of the 31 persons counted, volunteers were able to administer 24 surveys.

Demographic Information n=24
Gender: Number Percent
Male 16 66.7
Female 8 33.3
Transgender 0 0.0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 0 0.0
Age:
18 to 24 1 4.2
25 – 39 6 25.0
40 – 49 7 29.2
50 – 54 2 8.3
55 – 61 3 12.5
62+ 5 20.8
Ethnicity:

Hispanic or Latino 8 33.3
Race:

African American or Black 5 20.8
American Indian or Alaska Native 1 4.2
Asian 0 0.0
Native Hawaiian or Pacific Islander 0 0.0
White 16 66.7
Multiple Races or Other 1 4.2
Don’t Know/Refused 1 4.2
Became Homeless for First Time During Past 12 Months: 6 25.0 Chronically Homeless: 5 20.8
Veteran Status: 3 12.5

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57 Demographic Information n=24
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 4 16.7
HIV/AIDS: 1 4.2
Physical Disability That Seriously Limits Ability to Live Independently: 4 16.7
Developmental Disabilities: 1 4.2
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 1 4.2
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 1 4.2
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 2 8.3 Released from Correctional Institutions During Past Year: 5 20.8 Monthly Income:

No Monthly Income 11 45.8
$1 - $250 6 25.0
$251 - $500 5 20.8
$501 - $1,000 1 4.2
More Than $1,000 1 4.2
No Recorded Answer 0 0.0

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58 Chino Hills
Total Number of Unsheltered Adults: 2
Of the 2 persons counted, volunteers were able to administer 1 surveys.

Demographic Information n=1
Gender: Number Percent
Male 1 100
Female 0 0.0
Transgender 0 0.0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 0 0.0
Age:
18 to 24 0 0.0
25 – 39 0 0.0
40 – 49 0 0.0
50 – 54 1 100
55 – 61 0 0.0
62+ 0 0.0
Ethnicity:

Hispanic or Latino 0 0.0
Race:

African American or Black 0 0.0
American Indian or Alaska Native 0 0.0
Asian 0 0.0
Native Hawaiian or Pacific Islander 0 0.0
White 1 100
Multiple Races or Other 0 0.0
Don’t Know 0 0.0
Became Homeless for First Time During Past 12 Months: 0 0.0 Chronically Homeless: 1 100
Veteran Status: 0 0.0

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59 Demographic Information n=1
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 0 0.0
HIV/AIDS: 0 0.0
Physical Disability That Seriously Limits Ability to Live Independently: 0 0.0
Developmental Disabilities: 1 100
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 1 100
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 1 100
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 0 0.00 Released from Correctional Institutions During Past Year: 0 0.0 Monthly Income:

No Monthly Income 0 0.0
$1 - $250 1 100
$251 - $500 0 0.0
$501 - $1,000 0 0.0
More Than $1,000 0 0.0
No Recorded Answer 0 0.0

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60 Colton
Total Number of Unsheltered Adults: 136
Of the 136 persons counted, volunteers were able to administer 83 surveys.

Demographic Information n=83
Gender: Number Percent
Male 63 75.9
Female 20 24.1
Transgender 0 0.0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 0 0.0
Age:
18 to 24 2 2.4
25 - 39 24 28.9
40 – 49 20 24.1
50 – 54 10 12.0
55 – 61 20 24.1
62+ 7 8.4
Ethnicity:

Hispanic or Latino 42 50.6
Race:

African American or Black 4 4.8
American Indian or Alaska Native 2 2.4
Asian 0 0.0
Native Hawaiian or Pacific Islander 0 0.0
White 50 60.2
Multiple Races or Other 19 22.9
Don’t Know/Refused 8 9.6
Became Homeless for First Time During Past 12 Months: 28 33.7 Chronically Homeless: 32 38.6
Veteran Status: 4 4.8

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61 Demographic Information n=83
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 19 22.9
HIV/AIDS: 0 0.0
Physical Disability That Seriously Limits Ability to Live Independently: 12 14.5
Developmental Disabilities: 3 3.6
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 22 26.5
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 24 28.9
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 3 3.6 Released from Correctional Institutions During Past Year: 20 24.1 Monthly Income:

No Monthly Income 58 69.9
$1 - $250 12 14.5
$251 - $500 4 4.8
$501 - $1,000 2 2.4
More Than $1,000 6 7.2
No Recorded Answer/Refused 1 1.2

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62 Crestline
Total Number of Unsheltered Adults: 22
Of the 22 persons counted, volunteers were able to administer 21 surveys.

Demographic Information n=21
Gender: Number Percent
Male 13 61.9
Female 8 38.1
Transgender 0 0.0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 0 0.0
Age:
18 to 24 0 0.0
25 - 39 12 57.1
40 – 49 2 9.5
50 – 54 2 9.5
55 – 61 3 14.3
62+ 2 9.5
Ethnicity:

Hispanic or Latino 2 9.5
Race:

African American or Black 0 0.0
American Indian or Alaska Native 1 4.8
Asian 0 0.0
Native Hawaiian or Pacific Islander 0 0.0
White 20 95.2
Multiple Races or Other 0 0.0
Don’t Know/Refused 0 0.0
Became Homeless for First Time During Past 12 Months: 3 14.3 Chronically Homeless: 17 81.0
Veteran Status: 2 9.5

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63 Demographic Information n=21
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 7 33.3
HIV/AIDS: 0 0.0
Physical Disability That Seriously Limits Ability to Live Independently: 14 66.7
Developmental Disabilities: 3 14.3
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 5 23.8
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 8 38.1
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 0 0.0 Released from Correctional Institutions During Past Year: 4 19.0 Monthly Income:

No Monthly Income 8 38.1
$1 - $250 9 42.9
$251 - $500 2 9.5
$501 - $1,000 1 4.8
More Than $1,000 1 4.8
No Recorded Answer/Refused 0 0.0

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64 Fontana
Total Number of Unsheltered Adults: 116
Of the 116 persons counted, volunteers were able to administer 78 surveys.

Demographic Information n=78
Gender: Number Percent
Male 52 66.7
Female 26 33.3
Transgender 0 0.0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer
Age:
18 to 24 2 2.6
25 - 39 20 25.6
40 – 49 15 19.2
50 – 54 13 16.7
55 – 61 14 17.9
62+ 14 17.9
Ethnicity:

Hispanic or Latino 27 34.6
Race:

African American or Black 18 23.1
American Indian or Alaska Native 4 5.1
Asian 1 1.3
Native Hawaiian or Pacific Islander 2 2.6
White 35 44.9
Multiple Races or Other 15 19.2
Don’t Know/Refused 3 3.8
Became Homeless for First Time During Past 12 Months: 22 28.2 Chronically Homeless: 39 50.0
Veteran Status: 7 9.0

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65 Demographic Information n=78
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 21 26.9
HIV/AIDS: 3 3.8
Physical Disability That Seriously Limits Ability to Live Independently: 17 21.8
Developmental Disabilities: 8 10.3
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 16 20.5
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 11 14.1
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 5 6.4 Released from Correctional Institutions During Past Year: 20 25.6 Monthly Income:

No Monthly Income 44 56.4
$1 - $250 8 10.3
$251 - $500 4 5.1
$501 - $1,000 10 12.8
More Than $1,000 11 14.1
No Recorded Answer 1 1.3

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66 Grand Terrace
Total Number of Unsheltered Adults: 5
Of the 5 persons counted, volunteers were able to administer 3 surveys.

Demographic Information n=3
Gender: Number Percent
Male 2 66.7
Female 1 33.3
Transgender 0 0.0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 0 0.0
Age:
18 to 24 2 66.7
25 - 39 0 0.0
40 – 49 0 0.0
50 – 54 1 33.3
55 – 61 0 0.0
62+ 0 0.0
Ethnicity:

Hispanic or Latino 2 66.7
Race:

African American or Black 0 0.0
American Indian or Alaska Native 0 0.0
Asian 0 0.0
Native Hawaiian or Pacific Islander 0 0.0
White 1 33.3
Multiple Races or Other 2 66.7
Don’t Know 0 0.0
Became Homeless for First Time During Past 12 Months: 2 66.7 Chronically Homeless: 1 33.3
Veteran Status: 0 0.0

Page 771 of 1005 ends

67 Demographic Information n=3
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 0 0.0
HIV/AIDS: 0 0.0
Physical Disability That Seriously Limits Ability to Live Independently: 0 0.0
Developmental Disabilities: 0 0.0
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 2 66.7
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 2 66.7
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 0 0.0 Released from Correctional Institutions During Past Year: 2 66.7 Monthly Income:

No Monthly Income 3 100
$1 - $250 0 0.0
$251 - $500 0 0.0
$501 - $1,000 0 0.0
More Than $1,000 0 0.0
No Recorded Answer 0 0.0

Page 772 of 1005 ends

68 Hesperia
Total Number of Unsheltered Adults: 19
Of the 19 persons counted, volunteers were able to administer 5 surveys.

Demographic Information n=5
Gender: Number Percent
Male 4 80.0
Female 1 20.0
Transgender 0 0.0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 0 0.0
Age:
18 to 24 0 0.0
25 - 39 3 60.0
40 – 49 1 20.0
50 – 54 0 0.0
55 – 61 1 20.0
62+ 0 0.0
Ethnicity:

Hispanic or Latino 2 40.0
Race:

African American or Black 0 0.0
American Indian or Alaska Native 0 0.0
Asian 0 0.0
Native Hawaiian or Pacific Islander 0 0.0
White 4 80.0
Multiple Races or Other 1 20.0
Don’t Know/refused 0 0.0
Became Homeless for First Time During Past 12 Months: 1 20.0 Chronically Homeless: 1 20.0
Veteran Status: 0 0.0

Page 773 of 1005 ends

69 Demographic Information n=5
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 1 20.0
HIV/AIDS: 0 0.0
Physical Disability That Seriously Limits Ability to Live Independently: 1 20.0
Developmental Disabilities: 0 0.0
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 0 0.0
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 2 40.0
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 1 20.0 Released from Correctional Institutions During Past Year: 2 40.0 Monthly Income:

No Monthly Income 4 80.0
$1 - $250 1 20.0
$251 - $500 0 0.0
$501 - $1,000 0 0.0
More Than $1,000 0 0.0
No Recorded Answer 0 0.0

Page 774 of 1005 ends

70 Highland
Total Number of Unsheltered Adults: 78
Of the 78 persons counted, volunteers were able to administer 50 surveys.

Demographic Information n=50
Gender: Number Percent
Male 35 70.0
Female 15 30.0
Transgender 0 0.0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 0 0.0
Age:
18 to 24 3 60.0
25 - 39 20 40.0
40 – 49 8 16.0
50 – 54 6 12.0
55 – 61 10 20.0
62+ 3 6.0
Ethnicity:

Hispanic or Latino 14 28.0
Race:

African American or Black 10 20.0
American Indian or Alaska Native 1 2.0
Asian 0 0.0
Native Hawaiian or Pacific Islander 1 2.0
White 35 70.0
Multiple Races or Other 1 2.0
Don’t Know/Refused 2 4.0
Became Homeless for First Time During Past 12 Months: 21 42.0 Chronically Homeless: 10 20.0
Veteran Status: 2 4.0

Page 775 of 1005 ends

71 Demographic Information n=50
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 12 24.0
HIV/AIDS: 1 2.0
Physical Disability That Seriously Limits Ability to Live Independently: 10 20.0
Developmental Disabilities: 3 6.0
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 15 30.0
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 3 6.0
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 3 6.0 Released from Correctional Institutions During Past Year: 8 16.0 Monthly Income:

No Monthly Income 35 70.0
$1 - $250 7 14.0
$251 - $500 2 4.0
$501 - $1,000 6 12.0
More Than $1,000 0 0.0
No Recorded Answer 0 0.0

Page 776 of 1005 ends

72 Joshua Tree
Total Number of Unsheltered Adults: 54
Of the 54 persons counted, volunteers were able to administer 49 surveys.

Demographic Information n=49
Gender: Number Percent
Male 39 79.6
Female 10 20.4
Transgender 0 0.0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 0 0.0
Age:
18 to 24 4 8.7
25 - 39 14 28.0
40 – 49 17 34.7
50 – 54 5 10.2
55 – 61 5 10.2
62+ 4 8.2
Ethnicity:

Hispanic or Latino 10 20.4
Race:

African American or Black 0 0.0
American Indian or Alaska Native 0 0.0
Asian 0 0.0
Native Hawaiian or Pacific Islander 0 0.0
White 33 67.3
Multiple Races or Other 16 32.7
Don’t Know/Refused
Became Homeless for First Time During Past 12 Months: 24 49.0 Chronically Homeless: 22 44.9
Veteran Status: 5 10.2

Page 777 of 1005 ends

73 Demographic Information n=49
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 11 22.4
HIV/AIDS: 0 0.0
Physical Disability That Seriously Limits Ability to Live Independently: 7 14.3
Developmental Disabilities: 1 2.0
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 17 34.7
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 12 24.5
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 1 2.0 Released from Correctional Institutions During Past Year: 9 18.4

28.6 Monthly Income:

No Monthly Income 14 28.6
$1 - $250 9 18.4
$251 - $500 10 20.4
$501 - $1,000 11 22.4
More Than $1,000 4 8.2
No Recorded Answer 1 2.0

Page 778 of 1005 ends

74 Lake Arrowhead
Total Number of Unsheltered Adults: 11
Of the 11 persons counted, volunteers were able to administer 8 surveys.

Demographic Information n=8
Gender: Number Percent
Male 5 62.5
Female 3 37.5
Transgender 0 0.0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 0 0.0
Age:
18 to 24 0 0.0
25 - 39 1 12.5
40 – 49 4 50.0
50 – 54 0 0.0
55 – 61 0 0.0
62+ 3 37.5
Ethnicity:

Hispanic or Latino 1 12.5
Race:

African American or Black 0 0.0
American Indian or Alaska Native 0 0.0
Asian 0 0.0
Native Hawaiian or Pacific Islander 0 0.0
White 8 100
Multiple Races or Other 0 0.0
Don’t Know/Refused 0 0.0
Became Homeless for First Time During Past 12 Months: 1 12.5 Chronically Homeless: 5 62.5
Veteran Status: 1 12.5

Page 779 of 1005 ends

75 Demographic Information n=8
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 1 12.5
HIV/AIDS: 0 0.0
Physical Disability That Seriously Limits Ability to Live Independently: 0 0.0
Developmental Disabilities: 0 0.0
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 3 37.5
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 4 50.0
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 1 12.5 Released from Correctional Institutions During Past Year: 2 25.0 Monthly Income:

No Monthly Income 6 75.0
$1 - $250 0 0.0
$251 - $500 0 0.0
$501 - $1,000 1 12.5
More Than $1,000 1 12.5
No Recorded Answer 0 0.0

Page 780 of 1005 ends

76 Landers
Total Number of Unsheltered Adults: 2
Of the 2 persons counted, volunteers were able to administer 2 surveys.

Demographic Information n=2
Gender: Number Percent
Male 2 100
Female 0 0.0
Transgender 0 0.0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer
Age:
18 to 24 0 0.0
25 - 39 1 50.0
40 – 49 0 0.0
50 – 54 0 0.0
55 – 61 0 0.0
62+ 1 50.0
Ethnicity:

Hispanic or Latino 1 50.0
Race:

African American or Black 0 0.0
American Indian or Alaska Native 0 0.0
Asian 0 0.0
Native Hawaiian or Pacific Islander 1 50.0
White 0 0.0
Multiple Races or Other 1 50.0
Don’t Know/Refused 0 0.0
Became Homeless for First Time During Past 12 Months: 0 0.0 Chronically Homeless: 2 100
Veteran Status: 1 50.0

Page 781 of 1005 ends

77 Demographic Information n=2
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 1 50.0
HIV/AIDS: 0 0.0
Physical Disability That Seriously Limits Ability to Live Independently: 1 50.0
Developmental Disabilities: 0 0.0
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 0 0.0
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 1 50.0
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 1 50.0 Released from Correctional Institutions During Past Year: 1 50.0 Monthly Income:

No Monthly Income 1 50.0
$1 - $250 0 0.0
$251 - $500 0 0.0
$501 - $1,000 0 0.0
More Than $1,000 1 50.0
No Recorded Answer 0 0.0

Page 782 of 1005 ends

78 Loma Linda
Total Number of Unsheltered Adults: 27
Of the 27 persons counted, volunteers were able to administer 20 surveys.

Demographic Information n=20
Gender: Number Percent
Male 14 70.0
Female 6 30.0
Transgender 0 0.0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 0 0.0
Age:
18 to 24 2 10.0
25 - 39 4 20.0
40 – 49 7 35.0
50 – 54 2 10.0
55 – 61 1 5.0
62+ 4 20.0
Ethnicity:

Hispanic or Latino 12 60.0
Race:

African American or Black 1 5.0
American Indian or Alaska Native 2 10.0
Asian 0 0.0
Native Hawaiian or Pacific Islander 0 0.0
White 8 40.0
Multiple Races or Other 8 40.0
Don’t Know 1 5.0
Became Homeless for First Time During Past 12 Months: 3 15.0 Chronically Homeless: 0 0.0
Veteran Status: 1 5.0

Page 783 of 1005 ends

79 Demographic Information n=20
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 2 10.0
HIV/AIDS: 0 0.0
Physical Disability That Seriously Limits Ability to Live Independently: 3 15.0
Developmental Disabilities: 0 0.0
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 0 0.0
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 9 45.0
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 1 5.0 Released from Correctional Institutions During Past Year: 7 35.0 Monthly Income:

No Monthly Income 14 70.0
$1 - $250 2 10.0
$251 - $500 1 5.0
$501 - $1,000 2 10.0
More Than $1,000 1 5.0
No Recorded Answer 0 0.0

Page 784 of 1005 ends

80 Montclair
Total Number of Unsheltered Adults: 54
Of the 54 persons counted, volunteers were able to administer 20 surveys.

Demographic Information n=20
Gender: Number Percent
Male 14 70.0
Female 6 30.0
Transgender 0 0.0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 0 0.0
Age:
18 to 24 0 0.0
25 - 39 9 45.0
40 – 49 8 40.0
50 – 54 3 15.0
55 – 61 0 0.0
62+ 0 0.0
Ethnicity:

Hispanic or Latino 9 45.0
Race:

African American or Black 3 15.0
American Indian or Alaska Native 0 0.0
Asian 1 5.0
Native Hawaiian or Pacific Islander 0 0.0
White 16 80.0
Multiple Races or Other 0 0.0
Don’t Know/Refused 0 0.0
Became Homeless for First Time During Past 12 Months: 7 35.0 Chronically Homeless: 7 35.0
Veteran Status: 1 5.0

Page 785 of 1005 ends

81 Demographic Information n=20
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 3 15.0
HIV/AIDS: 0 0.0
Physical Disability That Seriously Limits Ability to Live Independently: 1 5.0
Developmental Disabilities: 1 5.0
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 3 15.0
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 6 30.0
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 1 5.0 Released from Correctional Institutions During Past Year: 6 30.0 Monthly Income:

No Monthly Income 11 55.0
$1 - $250 3 15.0
$251 - $500 2 10.0
$501 - $1,000 3 15.0
More Than $1,000 1 5.0
No Recorded Answer 0 0.0

Page 786 of 1005 ends

82 Muscoy
Total Number of Unsheltered Adults: 24
Of the 24 persons counted, volunteers were able to administer 9 surveys.

Demographic Information n=9
Gender: Number Percent
Male 6 66.7
Female 3 33.0
Transgender 0 0.0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 0 0.0
Age:
18 to 24 0 0.0
25 - 39 4 44.4
40 – 49 4 44.4
50 – 54 0 0.0
55 – 61 0 0.0
62+ 1 11.1
Ethnicity:

Hispanic or Latino 6 66.7
Race:

African American or Black 1 11.1
American Indian or Alaska Native 1 11.1
Asian 0 0.0
Native Hawaiian or Pacific Islander 0 0.0
White 4 44.4
Multiple Races or Other 2 22.2
Don’t Know/Refused 0 0.0
Became Homeless for First Time During Past 12 Months: 3 33.3 Chronically Homeless: 3 33.3
Veteran Status: 0 0.0

Page 787 of 1005 ends

83 Demographic Information n=9
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 0 0.0
HIV/AIDS: 0 0.0
Physical Disability That Seriously Limits Ability to Live Independently: 1 11.1
Developmental Disabilities: 0 0.0
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 3 33.3
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 2 22.2
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 1 11.1 Released from Correctional Institutions During Past Year: 3 33.3 Monthly Income:

No Monthly Income 7 77.8
$1 - $250 2 22.2
$251 - $500 0 0.0
$501 - $1,000 0 0.0
More Than $1,000 0 0.0
No Recorded Answer 0 0.0

Page 788 of 1005 ends

84 Needles
Total Number of Unsheltered Adults: 16
Of the 16 persons counted, volunteers were able to administer 11 surveys.

Demographic Information n=11
Gender: Number Percent
Male 8 72.7
Female 3 27.3
Transgender 0 0.0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 0 0.0
Age:
18 to 24 0 0.0
25 - 39 1 9.1
40 – 49 0 0.0
50 – 54 2 18.2
55 – 61 4 36.4
62+ 4 36.4
Ethnicity:

Hispanic or Latino 3 27.3
Race:

African American or Black 1 9.1
American Indian or Alaska Native 0 0.0
Asian 0 0.0
Native Hawaiian or Pacific Islander 0 0.0
White 7 63.6
Multiple Races or Other 3 27.3
Don’t Know 0 0.0
Became Homeless for First Time During Past 12 Months: 1 9.1 Chronically Homeless: 4 36.4
Veteran Status: 1 9.1

Page 789 of 1005 ends

85 Demographic Information n=11
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 4 36.4
HIV/AIDS: 0 0.0
Physical Disability That Seriously Limits Ability to Live Independently: 3 27.3
Developmental Disabilities: 0 0.0
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 3 27.3
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 0 0.0
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 0 0.0 Released from Correctional Institutions During Past Year: 1 9.1 Monthly Income:

No Monthly Income 4 36.4
$1 - $250 0 0.0
$251 - $500 0 0.0
$501 - $1,000 3 27.3
More Than $1,000 4 36.4
No Recorded Answer 0 0.0

Page 790 of 1005 ends

86 Ontario
Total Number of Unsheltered Adults: 74
Of the 74 persons counted, volunteers were able to administer 54 surveys.

Demographic Information n=54
Gender: Number Percent
Male 45 83.3
Female 9 16.7
Transgender 0 0.0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 0 0.0
Age:
18 to 24 5 9.3
25 - 39 16 29.6
40 – 49 11 20.4
50 – 54 10 18.5
55 – 61 8 14.8
62+ 4 7.4
Ethnicity:

Hispanic or Latino 27 50.0
Race:

African American or Black 7 13.0
American Indian or Alaska Native 3 5.6
Asian 1 1.9
Native Hawaiian or Pacific Islander 1 1.9
White 30 55.6
Multiple Races or Other 9 16.7
Don’t Know/Refused 3 5.6
Became Homeless for First Time During Past 12 Months: 14 25.9 Chronically Homeless: 26 48.1
Veteran Status: 3 5.6

Page 791 of 1005 ends

87 Demographic Information n=54
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 15 27.8
HIV/AIDS:

Physical Disability That Seriously Limits Ability to Live Independently: 13 24.1
Developmental Disabilities: 0 0.0
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 10 18.5
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 16 29.6
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 1 1.9 Released from Correctional Institutions During Past Year: 18 33.3 Monthly Income:

No Monthly Income 34 63.0
$1 - $250 4 7.4
$251 - $500 4 7.4
$501 - $1,000 9 16.7
More Than $1,000 3 5.6
No Recorded Answer 0 0.0

Page 792 of 1005 ends

88 Phelan/Pinion Hills
Total Number of Unsheltered Adults: 2
Of the 2 persons counted, volunteers were able to administer 0 surveys.

Demographic Information n=0
Gender: Number Percent
Male 0 0.0
Female 0 0.0
Transgender 0 0.0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 0 0.0
Age:
18 to 24 0 0.0
25 - 39 0 0.0
40 – 49 0 0.0
50 – 54 0 0.0
55 – 61 0 0.0
62+ 0 0.0
Ethnicity:

Hispanic or Latino 0 0.0
Race:

African American or Black 0 0.0
American Indian or Alaska Native 0 0.0
Asian 0 0.0
Native Hawaiian or Pacific Islander 0 0.0
White 0 0.0
Multiple Races or Other 0 0.0
Don’t Know/Refused 0 0.0
Became Homeless for First Time During Past 12 Months: 0 0.0 Chronically Homeless: 0 0.0
Veteran Status: 0 0.0

Page 793 of 1005 ends

89 Demographic Information n=0
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 0 0.0
HIV/AIDS: 0 0.0
Physical Disability That Seriously Limits Ability to Live Independently: 0 0.0
Developmental Disabilities: 0 0.0
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 0 0.0
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 0 0.0
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 0 0.0 Released from Correctional Institutions During Past Year: 0 0.0 Monthly Income:

No Monthly Income 0 0.0
$1 - $250 0 0.0
$251 - $500 0 0.0
$501 - $1,000 0 0.0
More Than $1,000 0 0.0
No Recorded Answer 0 0.0

Page 794 of 1005 ends

90 Rancho Cucamonga
Total Number of Unsheltered Adults: 48
Of the 48 persons counted, volunteers were able to administer 27 surveys.

Demographic Information n=27
Gender: Number Percent
Male 20 74.1
Female 7 25.9
Transgender 0 0.0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 0 0.0
Age:
18 to 24 2 7.4
25 - 39 14 51.9
40 – 49 1 3.7
50 – 54 2 7.4
55 – 61 2 7.4
62+ 6 22.2
Ethnicity:

Hispanic or Latino 4 14.8
Race:

African American or Black 8 29.6
American Indian or Alaska Native 1 3.7
Asian 0 0.0
Native Hawaiian or Pacific Islander 0 0.0
White 15 55.6
Multiple Races or Other 3 11.1
Don’t Know/Refused 0 0.0
Became Homeless for First Time During Past 12 Months: 8 29.6 Chronically Homeless: 11 40.7
Veteran Status: 3 11.1

Page 795 of 1005 ends

91 Demographic Information n=27
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 2 7.4
HIV/AIDS: 0 0.0
Physical Disability That Seriously Limits Ability to Live Independently: 6 22.2
Developmental Disabilities: 1 3.7
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 3 11.1
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 5 18.5
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 2 7.4 Released from Correctional Institutions During Past Year: 7 25.9 Monthly Income:

No Monthly Income 10 37.0
$1 - $250 6 22.2
$251 - $500 3 11.1
$501 - $1,000 6 22.2
More Than $1,000 2 7.4
No Recorded Answer 0 0.0

Page 796 of 1005 ends

92 Redlands
Total Number of Unsheltered Adults: 141
Of the 141 persons counted, volunteers were able to administer 95 surveys.

Demographic Information n=95
Gender: Number Percent
Male 71 74.7
Female 22 23.2
Transgender 1 1.1
Gender Non-Conforming (i.e. not exclusively male or female) 1 1.1 Don’t Know or No Recorded Answer
Age:
18 to 24 47 49.5
25 - 39 15 15.8
40 – 49 8 8.4
50 – 54 6 6.3
55 – 61 8 8.4
62+ 11 11.6
Ethnicity:

Hispanic or Latino 26 27.4
Race:

African American or Black 12 12.6
American Indian or Alaska Native 2 2.1
Asian 1 1.1
Native Hawaiian or Pacific Islander 0 0.0
White 52 54.7
Multiple Races or Other 26 27.4
Don’t Know 2 2.1
Became Homeless for First Time During Past 12 Months: 8 8.4 Chronically Homeless: 59 62.1
Veteran Status: 8 8.4

Page 797 of 1005 ends

93 Demographic Information n=95
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 9 9.5
HIV/AIDS: 1 1.1
Physical Disability That Seriously Limits Ability to Live Independently: 12 12.6
Developmental Disabilities: 2 2.1
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 30 31.6
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 52 54.7
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 8 8.4 Released from Correctional Institutions During Past Year: 24 25.3 Monthly Income:

No Monthly Income 61 64.2
$1 - $250 19 20.0
$251 - $500 5 5.5
$501 - $1,000 7 7.4
More Than $1,000 2 2.1
No Recorded Answer 1 1.1

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94 Rialto
Total Number of Unsheltered Adults: 115
Of the 115 persons counted, volunteers were able to administer 89 surveys.

Demographic Information n=89
Gender: Number Percent
Male 62 69.7
Female 27 30.3
Transgender 0 0.0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 0 0.0
Age:
18 to 24 6 6.7
25 - 39 30 33.7
40 – 49 26 29.2
50 – 54 11 12.4
55 – 61 10 11.2
62+ 6 6.7
Ethnicity:

Hispanic or Latino 33 37.1
Race:

African American or Black 21 23.6
American Indian or Alaska Native 4 4.5
Asian 1 1.1
Native Hawaiian or Pacific Islander 1 1.1
White 49 55.1
Multiple Races or Other 9 10.1
Don’t Know 4 4.5
Became Homeless for First Time During Past 12 Months: 38 42.7 Chronically Homeless: 36 40.4
Veteran Status: 5 5.6

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95 Demographic Information n=89
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease:

HIV/AIDS: 2 2.2
Physical Disability That Seriously Limits Ability to Live Independently: 28 31.5
Developmental Disabilities: 5 5.6
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 15 16.9
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 27 30.3
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 6 6.7 Released from Correctional Institutions During Past Year: 20 69.0 Monthly Income:

No Monthly Income 57 64.0
$1 - $250 16 18.0
$251 - $500 2 2.2
$501 - $1,000 11 12.4
More Than $1,000 2 2.2
No Recorded Answer 1 1.1

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96 Running Springs
Total Number of Unsheltered Adults: 1
Of the 1 persons counted, volunteers were able to administer 1 surveys.

Demographic Information n=1
Gender: Number Percent
Male 1 100
Female 0 0.0
Transgender 0 0.0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 0 0.0
Age:
18 to 24 1 100
25 - 39 0 0.0
40 – 49 0 0.0
50 – 54 0 0.0
55 – 61 0 0.0
62+ 0 0.0
Ethnicity:

Hispanic or Latino 0 0.0
Race:

African American or Black 0 0.0
American Indian or Alaska Native 0 0.0
Asian 0 0.0
Native Hawaiian or Pacific Islander 0 0.0
White 1 100
Multiple Races or Other 0 0.0
Don’t Know/Refused 0 0.0
Became Homeless for First Time During Past 12 Months: 0 0.0 Chronically Homeless: 0 0.0
Veteran Status: 0 0.0

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97 Demographic Information n=1
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 0 0.0
HIV/AIDS: 0 0.0
Physical Disability That Seriously Limits Ability to Live Independently: 0 0.0
Developmental Disabilities: 0 0.0
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 0 0.0
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 0 0.0
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 0 0.0 Released from Correctional Institutions During Past Year: 1 100 Monthly Income:

No Monthly Income 1 100
$1 - $250 0 0.0
$251 - $500 0 0.0
$501 - $1,000 0 0.0
More Than $1,000 0 0.0
No Recorded Answer 0 0.0

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98 San Bernardino
Total Number of Unsheltered Adults: 823
Of the 823 persons counted, volunteers were able to administer 459 surveys.

Demographic Information n=459
Gender: Number Percent
Male 312 68.0
Female 145 31.6
Transgender 1 0.2
Gender Non-Conforming (i.e. not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 1 0.0
Age:
18 to 24 20 4.4
25 - 39 149 32.5
40 – 49 109 23.7
50 – 54 74 16.1
55 – 61 79 17.2
62+ 28 6.1
Ethnicity:

Hispanic or Latino 142 30.9
Race:

African American or Black 124 27.0
American Indian or Alaska Native 14 3.1
Asian 8 1.7
Native Hawaiian or Pacific Islander 2 0.4
White 206 44.9
Multiple Races or Other 85 18.5
Don’t Know 20 4.4
Became Homeless for First Time During Past 12 Months: 139 30.3 Chronically Homeless: 194 42.3
Veteran Status: 34 7.4

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99 Demographic Information n=459
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 105 22.9
HIV/AIDS: 8 1.7
Physical Disability That Seriously Limits Ability to Live Independently: 126 27.5
Developmental Disabilities: 31 6.8
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 138 30.1
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 144 31.4
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 29 6.3 Released from Correctional Institutions During Past Year: 108 23.5 Monthly Income:

No Monthly Income 323 70.4
$1 - $250 42 9.2
$251 - $500 26 5.7
$501 - $1,000 50 10.9
More Than $1,000 14 3.1
No Recorded Answer 4 0.9

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100
Twentynine Palms
Total Number of Unsheltered Adults: 28
Of the 28 persons counted, volunteers were able to administer 26 surveys.

Demographic Information n=26
Gender: Number Percent
Male 19 73.1
Female 7 26.9
Transgender 0 0.0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 0 0.0
Age:
18 to 24 0 0.0
25 - 39 7 26.9
40 – 49 4 15.4
50 – 54 7 26.9
55 – 61 5 19.2
62+ 3 11.5
Ethnicity:

Hispanic or Latino 6 23.1
Race:

African American or Black 1 3.8
American Indian or Alaska Native 1 3.8
Asian 0 0.0
Native Hawaiian or Pacific Islander 0 0.0
White 16 61.5
Multiple Races or Other 7 26.9
Don’t Know 1 3.8
Became Homeless for First Time During Past 12 Months: 10 38.5 Chronically Homeless: 10 38.5
Veteran Status: 6 23.1

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101
Demographic Information n=26
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 4 15.4
HIV/AIDS: 1 3.8
Physical Disability That Seriously Limits Ability to Live Independently: 10 38.5
Developmental Disabilities: 0 0.0
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 7 26.9
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 2 7.7
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 1 3.8 Released from Correctional Institutions During Past Year: 7 26.9 Monthly Income:

No Monthly Income 17 65.4
$1 - $250 0 0.0
$251 - $500 0 0.0
$501 - $1,000 8 30.8
More Than $1,000 1 3.8
No Recorded Answer 0 0.0

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102
Upland
Total Number of Unsheltered Adults: 44
Of the 44 persons counted, volunteers were able to administer 36 surveys.

Demographic Information n=36
Gender: Number Percent
Male 28 77.8
Female 8 22.2
Transgender 0 0.0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 0 0.0
Age:
18 to 24 3 8.3
25 - 39 11 30.6
40 – 49 7 19.4
50 – 54 5 13.9
55 – 61 5 13.9
62+ 5 13.9
Ethnicity:

Hispanic or Latino 13 36.1
Race:

African American or Black 3 8.3
American Indian or Alaska Native 2 5.6
Asian 0 0.0
Native Hawaiian or Pacific Islander 0 0.0
White 23 63.9
Multiple Races or Other 6 16.7
Don’t Know 2 5.5
Became Homeless for First Time During Past 12 Months: 10 27.8 Chronically Homeless: 11 30.6
Veteran Status: 1 2.8

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103
Demographic Information n=36
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 8 22.2
HIV/AIDS: 1 2.8
Physical Disability That Seriously Limits Ability to Live Independently: 8 22.2
Developmental Disabilities: 1 2.8
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 6 16.7
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 4 11.1
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 1 2.8 Released from Correctional Institutions During Past Year: 7 19.4 Monthly Income:

No Monthly Income 21 58.3
$1 - $250 2 5.6
$251 - $500 2 5.6
$501 - $1,000 4 11.1
More Than $1,000 4 11.1
No Recorded Answer 0 0.0

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104
Victorville
Total Number of Unsheltered Adults: 298
Of the 298 persons counted, volunteers were able to administer 190 surveys.

Demographic Information n=190
Gender: Number Percent
Male 124 65.3
Female 66 34.7
Transgender 0 0.0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 0 0.0
Age:
18 to 24 13 6.8
25 - 39 70 36.8
40 – 49 51 26.8
50 – 54 20 10.5
55 – 61 26 13.7
62+ 10 5.3
Ethnicity:

Hispanic or Latino 46 24.2
Race:

African American or Black 43 22.6
American Indian or Alaska Native 5 2.6
Asian 1 0.5
Native Hawaiian or Pacific Islander 2 1.1
White 102 53.7
Multiple Races or Other 31 16.3
Don’t Know/refused 6 3.2
Became Homeless for First Time During Past 12 Months: 41 21.6 Chronically Homeless: 70 36.8
Veteran Status: 22 11.6

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105
Demographic Information n=190
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 25 13.2
HIV/AIDS: 1 0.5
Physical Disability That Seriously Limits Ability to Live Independently: 35 18.4
Developmental Disabilities: 12 6.3
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 41 21.6
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 68 35.8
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 7 3.7 Released from Correctional Institutions During Past Year: 26 13.7 Monthly Income:

No Monthly Income 130 68.4
$1 - $250 21 11.1
$251 - $500 11 5.8
$501 - $1,000 15 7.9
More Than $1,000 5 2.6
No Recorded Answer 8 4.2

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106
Yucaipa
Total Number of Unsheltered Adults: 13
Of the 13 persons counted, volunteers were able to administer 11 surveys.

Demographic Information n=11
Gender: Number Percent
Male 9 81.8
Female 2 18.2
Transgender 0 0.0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 0 0.0
Age:
18 to 24 0 0.0
25 – 39 4 36.4
40 – 49 2 18.2
50 – 54 1 9.1
55 – 61 4 36.4
62+ 0 0.0
Ethnicity:

Hispanic or Latino 3 27.3
Race:

African American or Black 2 18.2
American Indian or Alaska Native 1 9.1
Asian 0 0.0
Native Hawaiian or Pacific Islander 0 0.0
White 7 63.6
Multiple Races or Other 1 9.1
Don’t Know 0 0.0
Became Homeless for First Time During Past 12 Months: 2 18.2 Chronically Homeless: 8 72.7
Veteran Status: 1 9.1

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107
Demographic Information n=11
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 1 9.1
HIV/AIDS: 0 0.0
Physical Disability That Seriously Limits Ability to Live Independently: 2 18.2
Developmental Disabilities: 2 18.2
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 2 18.2
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 5 45.5
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 4 36.4 Released from Correctional Institutions During Past Year:

Monthly Income:

No Monthly Income 1 9.1
$1 - $250 2 18.2
$251 - $500 1 9.1
$501 - $1,000 5 45.5
More Than $1,000 2 18.2
No Recorded Answer 0 0.0

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108
Yucca Valley
Total Number of Unsheltered Adults: 44
Of the 44 persons counted, volunteers were able to administer 38 surveys.

Demographic Information n=38
Gender: Number Percent
Male 31 81.6
Female 7 18.4
Transgender 0 0.0
Gender Non-Conforming (i.e. not exclusively male or female) 0 0.0 Refused
Age:
18 to 24 0 0.0
25 - 39 7 18.4
40 – 49 14 36.8
50 – 54 6 15.8
55 – 61 7 18.4
62+ 4 10.5
Ethnicity:

Hispanic or Latino 15 39.5
Race:

African American or Black 1 2.6
American Indian or Alaska Native 3 7.9
Asian 0 0.0
Native Hawaiian or Pacific Islander 1 2.6
White 23 60.5
Multiple Races or Other 7 18.4
Don’t Know 0 0.0
Became Homeless for First Time During Past 12 Months: 17 44.7 Chronically Homeless: 20 52.6
Veteran Status: 6 15.8

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109
Demographic Information n=38
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 11 28.9
HIV/AIDS: 0 0.0
Physical Disability That Seriously Limits Ability to Live Independently: 6 15.8
Developmental Disabilities: 4 10.5
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 19 50.0
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 19 50.0
Victims of Domestic Violence:

Experiencing Homelessness Because Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 7 18.4 Released from Correctional Institutions During Past Year: 8 21.0 Monthly Income:

No Monthly Income 28 73.7
$1 - $250 3 7.9
$251 - $500 0 0.0
$501 - $1,000 5 13.2
More Than $1,000 2 5.3
No Recorded Answer 0 0.0

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110
Appendix C:

Percent of Unsheltered Adults
Who Were Surveyed by Jurisdiction

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111
The following table provides the percent of unsheltered adults who were surveyed for 2019 and 2020 by jurisdiction. Those unsheltered adults who were not surveyed were counted by observation. The goal is to complete a survey for at least 70% of unsheltered adults.

Those jurisdictions that surveyed at least 70% of unsheltered adults in 2019 and 2020 include:
 Adelanto
 Apple Valley
 Chino
 Loma Linda
 Ontario
 Upland
 Yucca Valley
Those jurisdictions that surveyed between 50% and 70% of unsheltered adults in 2019 and 2020 include:
 Bloomington
 Chino Hills
 Colton
 Fontana
 Grand Terrace
 Highland
 Needles
 Rancho Cucamonga
 Redlands
 Rialto
 San Bernardino
 Twentynine Palms
 Victorville
Those jurisdictions that surveyed below 50% of unsheltered adults in 2019 or 2020 include:
 Barstow
 Hesperia
 Yucaipa
Those jurisdictions that surveyed below 50% of unsheltered adults in 2019 and 2020 include:
 Montclair

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112
Table 14. Total Adults Counted, Number of Adults Surveyed, and Percent of Adults Surveyed in 2019 and 2020 by Jurisdiction.
2019 2020
Total
Adults
Count
# of
Adults
Surveyed
% of
Adults
Surveyed
Total
Adults
Count
# of
Adults
Surveyed
% of
Adults
Surveyed
Adelanto 3 3 100 11 10 91
Apple Valley 20 14 70 24 20 83
Barstow 59 23 39 78 45 58
Big Bear City/Sugarloaf 0 0 0 12 8 67
Big Bear Lake 7 7 100 0 0 0
Bloomington 24 16 67 19 10 53
Cajon Canyon 2 2 100 0 0 0
Chino 23 19 83 30 24 80
Chino Hills 4 3 75 2 1 50
Colton 57 51 89 135 83 61
Crestline 0 0 0 22 21 95
Fontana 90 58 64 115 78 68
Grand Terrace 1 1 100 5 3 60
Hesperia 21 15 71 18 5 28
Highland 72 42 60 77 50 65
Joshua Tree 0 0 0 53 49 92
Lake Arrowhead 0 0 0 9 8 89
Landers 0 0 0 2 2 100
Lenwood 0 0 0 0 0 0
Loma Linda 8 6 75 27 20 74
Lytle Creek 0 0 0 0 0 0
Mentone/Crafton 0 0 0 0 0 0
Montclair 24 10 42 47 20 43
Morongo Valley 0 0 0 0 0 0
Muscoy 0 0 0 24 9 38
Needles 28 23 82 16 11 69
Ontario 89 76 85 72 54 75
Phelan/Pinion Hills 0 0 0 2 0 0
Rancho Cucamonga 43 31 72 48 27 56
Redlands 137 93 68 139 95 68
Rialto 128 88 69 114 89 78
Running Springs 0 0 0 1 1 100

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113
San Bernardino 639 348 55 818 459 56
Twentynine Palms 39 24 62 28 26 93
Upland 43 31 72 44 36 82
Victorville 176 120 68 295 190 64
West Cajon Valley 0 0 0 0 0 0
Yermo 0 0 0 0 0 0
Yucaipa 16 6 38 13 11 85
Yucca Valley 44 32 73 44 38 86

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Members of the Interagency Council on Homelessness
Members of the Board of Supervisors City of Rancho Cucamonga City of San Bernardino City of Victorville Town of Yucca Valley Department of Behavioral Health Housing Authority of the County of San Bernardino Community Development and Housing Agency San Bernardino County Human Services San Bernardino Law and Justice Group Mountain Regional City Representative Homeless Representative San Bernardino County Superintendent of Schools Members of the Homeless Provider Network San Bernardino County Homeless Partnership
Interagency Council on Homelessness
Administrative Office
215 North D Street, Suite 301, San Bernardino, CA 92415-0044 Office: (909) 501-0610
December 21, 2020
Dear CoC Partners,
In mid-November 2020, the United States Department of Housing and Urban Development (HUD) issued a document to all Continuums of Cares (CoCs) providing guidance for the 2021 Point-In-Time Count (PITC) during the coronavirus (COVID-19) pandemic.

As part of the guidance, HUD included an exception allowance to permit CoCs to request an exception to some or all of the unsheltered PITC requirements. On December 7, 2020, the Office of Homeless Services (OHS) was directed by the Interagency Council on Homelessness (ICH) Chair and Vice-Chair, along with County of San Bernardino leadership to request an exception from HUD to not conduct a 2021 unsheltered PITC for several reasons, which included:
• Health and Safety: Local government and community leaders have expressed a high degree of concern about the health and safety of employees, volunteers, and those experiencing homelessness in terms of exposure to COVID19. • COVID-19 Surge: The region is currently experiencing a surge in COVID-19 cases, resulting in reduced capacity in our hospitals and intensive care units.
• Unsheltered Count Accuracy: There is a concern we do not have the necessary resources to complete an unsheltered count.

A request for an exception was submitted on December 10, 2020, to Mr. William Snow, Senior Program Specialist with the HUD Office of Special Needs Assistance Programs per HUD guidance. After reviewing the request, HUD granted the San Bernardino County CoC the exception to conducting any unsheltered PITC in 2021.

The OHS is still committed to looking at our other data sources to help determine the extent and needs of our local unsheltered population for future planning and policy purposes. Data sources will include the Homeless Management Information System, Coordinated Entry System, Sheriff’s Homeless Outreach and Proactive Enforcement Team outreach data, and current by-name lists.

Thank you for all your hard work and commitment to serve people experiencing homelessness in your community. For additional assistance or further information, please contact Amy Edwards at (909) 501-0610 or [email protected].

Respectfully,
Maria Razo, Chair Jessica Alexander, Vice-Chair Tom Hernandez, Chief

ICH ICH OHS

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Acknowledgements
The San Bernardino County Homeless Partnership wishes to thank all the individuals and organizations that contributed to the preparation, implementation, and success of the 2022 Point-In-Time Count and Subpopulation Survey. Such an endeavor would not be possible without the collaboration and efforts of volunteers, community groups, faith- and community-based organizations, county departments, city representatives and staff, homeless service providers, law enforcement and elected officials. Your hard work, time, and dedication to ending homelessness are greatly appreciated.
▪ Special thanks to the 400 community volunteers from across San Bernardino County who canvassed areas identified as “green count zones” the morning of February 24, to complete the 2022 Point-In-Time-Count and Subpopulation Survey.
▪ Special thanks to the following agencies and community organizations that contributed staff time, support and resources, and office space for planning, training, and development activities to help make the 2022 Point-In-Time Count and Subpopulation Survey a success:

California Department of Transportation
California State University – San Bernardino
Church for Whosoever – Apple Valley
Church of Latter-Day Saints – Redlands
City of Big Bear Lake
City of Barstow
City of Chino
City of Chino Hills
City of Colton
City of Fontana
City of Grand Terrace
City of Highland
City of Loma Linda
City of Needles
City of Montclair
City of Ontario
City of Rancho Cucamonga
City of Redlands
City of Rialto
City of San Bernardino
City of Twentynine Palms
City of Upland
City of Victorville
City of Yucaipa
ESRI
Family Assistance Program
Good Shepherd Lutheran Church – Yucaipa
Mercy House – Ontario
Morongo Basin Haven
Mountain Homeless Coalition
New Hope Village
Redlands Charitable Resources Coalition
San Bernardino County Administrative Office
San Bernardino County Board of Supervisors
San Bernardino County Community
Revitalization
San Bernardino County Council of
Governments
San Bernardino County Child Support Services
San Bernardino County Department of
Behavioral Health
San Bernardino County Human Services
San Bernardino County Human Resources
San Bernardino County Innovation and Technology
Department
San Bernardino County Library
San Bernardino County Office of Homeless
Services

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San Bernardino County Sheriff’s Department
San Bernardino County Sheriff’s Department –
Homeless Outreach Proactive Enforcement
(HOPE) Team
San Bernardino County Transportation
Authority (SBCTA)
St. Richards Episcopal Church – Skyforest
Step Up on Second
Social Work Action Group (SWAG)
Town of Apple Valley
Town of Yucca Valley
United States Veterans Administration – Loma
Linda Healthcare System
Water of Life Community Church/CityLink
Adam Acosta
Alejandro Rodriguez
Alma Hernandez
Amy Edwards
Angela Pasco
Anne Lawliss
Ashley Esquivel
Barrie Owens
Brent Rolf
Bryant Vargas
Cassandra Searcy
Christina Rudsell
Christopher Boatman
Christopher Giunta
Claudia Doyle
Cory S. Hodges
Cynthia Alvarado
Darryl Evey
Dave Martinez
Debra Breidenbach-Sterling
Deputy Branden Davault
Deputy Laurel Mitchell
Deputy Mike Jones
Deputy Pat Rassmussen
Deputy Zakkary Planz
Diana Perez
Erika Lewis-Huntley
Ernesto Montes
Geovanni Quiroz
Gina Gonzales
Jobi Wood
Jordan Gibson
Kellie Whitt
Katelyn Rodriguez
Konrad Bolowich
Laura McDonald
Lois Levitt
Mayra Pratt
Melinda Sayre
Michelle Meza
Natalie Campos
Natalie Komuro
Officer Gabe Fondario
Officer Robert Hargett
Philip F. Mangano
Probation Officer Victoria Whitworth
Regina Cruise
Ryan Aschenbrenner
Sgt. Pat Murch
Shelia Jackson
Sue Walker
Ted Bistarkey
Tim Sullivan
Tom Hernandez
Tom Ingles
Tricia Gonzales
Wayne Hamilton
Wendell Wilson

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Special thanks for the San Bernardino County Innovation and Technology Department for their expertise and guidance concerning the design and implementation of the homeless count mobile app, providing targeted mapping, and for data cleaning.

Brent Rolfe, Systems Development Team Leader
Lindsay King, GIS Business System Analyst
Natalie M. Campos, Business System Analyst III
Special thanks to our research consultants, the Institute for Urban Initiatives, for their expertise and guidance through the entire Point-In-Time Count and Subpopulation Survey process, including methodology development and implementation, planning coordination and guidance, and production of the final report.

Joe Colletti, PhD, Executive Director
Sofia Herrera, PhD, Research Director
Christy Hamilton, Research Project Manager
Thelma Herrera, Graphic Designer

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5 Table of Contents
Page
Background Information 6
When was the Count conducted? 6
Who was counted? 6
Who was not counted? 7
Who carried out the Count? 8
Methodology 10
Unsheltered Count
Sheltered Count
Key Findings 12
Executive Summary 13
Unsheltered Homelessness 18
Sheltered Homelessness 24
Appendix A: 26
Findings for Each Jurisdiction in Which at Least 50 Adults were Counted as Unsheltered

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6 Background Information
The U.S. Department of Housing and Urban Development (HUD), as part of its requirements for local Continuums of Care (CoCs) to continue to receive continuum of care funding for homeless persons, requires CoCs to conduct “one-day point-in-time” sheltered and unsheltered homeless counts during the last 10 days of January. The CA-609 San Bernardino City and County CoC is one of approximately 400 jurisdictions nationwide that submit an annual application to HUD for continuum of care funding.

HUD requires CoCs to conduct a sheltered count every year and an unsheltered count every other year. The San Bernardino City and County CoC conducts an annual unsheltered count as do more than half of California’s 44 CoCs.

In 2022, HUD permitted CoCs to request an exception to conduct a homeless count during the last 10 days of February because of pandemic related reasons. The CA-609 San Bernardino City and County CoC requested and received an exception and conducted the homeless count on February 24, 2022.

When was the Count conducted?
The unsheltered homeless count was conducted on Thursday, February 24, 2022, and began at 6 a.m. The sheltered count included residents of shelters and transitional housing programs throughout the county who slept in these facilities during the night of February 23 through the early morning of February 24.

HUD allows counting in hard-to-reach and remote places to continue up to seven days after the count as long as persons are asked if they were homeless on the day of the count and a unique identifier is used to prevent duplication. A limited amount of counting occurred during the seven days following the count in a few hard-to-reach and remote places and places were counting did not take place on February 24 because of pandemic related reasons.

Who was counted?
Per HUD’s instructions, a person was considered homeless, and thus counted, only when they fell within the HUD-based definition by residing in one of the places described below:
 In places not meant for human habitation, such as cars, parks, sidewalks, and abandoned buildings;
 In an emergency shelter; and
 In transitional housing for homeless persons.

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7 Each person who was counted was also asked a series of survey questions that ensured that all HUD required subpopulation data was collected that included persons with  HIV/AIDS;
 Serious mental illness; and
 Substance use disorders.

Subpopulations also included
 Families
 Veterans; and
 Youth age 18 – 24.

Several questions to gather local desired information were also asked and included  In what city did you first become homeless?
 In what city are you living now?
 Did you become homeless for the first time during the past 12 months?  Have you been released from prison or jail during the last 12 months?  How much is your monthly income?
Who was not counted?
Per HUD’s instructions, a person was not considered homeless if the person resided in one of the following places noted below:
 Medical facilities, such as hospitals, psychiatric facilities, and nursing homes;  Jails, prisons, or juvenile detention facilities;
 Chemical dependency facilities, such as substance abuse treatment facilities and detox centers;
 Foster care homes or foster care group homes.

Also, per HUD’s instructions, children identified by McKinney-Vento Homeless Coordinators at schools as homeless should not be counted. Children may be included in the count if they live in an emergency shelter or transitional housing program, or if they are unsheltered.

Lastly, HUD does not consider persons who are “doubled up,” or persons who are “near homelessness” to be homeless but considers them to be at risk of becoming homeless. Thus, such persons were not included in the homeless count.

The County of San Bernardino, like many other counties, has a substantial number of households that are at risk of becoming homeless. The Census Bureau noted that 14 percent or approximately 100,000 households (consisting of approximately 300,000 residents) in San

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8 Bernardino County were living at or below the poverty level as reported in the 2020 American Community Survey.

Many of these persons can become homeless because of social structural issues such as increases in rent, loss of jobs, and rising health care costs. In addition, personal experiences such as domestic violence, physical disabilities, mental illness, and substance abuse can cause members of a low-income household or an entire household to become homeless. Often, one or more of these experiences factor into a household’s homelessness experience.

Who carried out the Count?
The homeless count and subpopulation survey was a joint effort of the San Bernardino County Homeless Partnership, the San Bernardino County Office of Homeless Services, and the Institute for Urban Initiatives. Approximately 800 community volunteers were recruited to implement the count and subpopulation survey. As noted in the Acknowledgements section of this report, there were nearly 30 agencies that contributed staff time and office space for training and deployment of counters and there were 24 law enforcement agencies that provided their time, knowledge, and expertise concerning locations of homeless persons. Also, there were nearly 30 additional agencies that helped with the planning process, including the San Bernardino County Innovation and Technology Department, which created maps to guide counters.

The San Bernardino County Homeless Partnership (SBCHP) was formed to provide a more focused approach to issues of homelessness within San Bernardino County. Its primary purpose is to develop a countywide public and private partnership and to coordinate services and resources to end homelessness in San Bernardino County. The partnership consists of community and faith-based organizations, educational institutions, non-profit organizations, private industry, and federal, state, and local governments. SBCHP was developed to promote a strong collaboration between agencies to direct the planning, development, and implementation of the County’s 10-year Strategy to end chronic homelessness. The partnership provides leadership in creating a comprehensive countywide network of service delivery to homeless and nearhomeless families and individuals through facilitating better communication, planning, coordination, and cooperation among all entities that provide services and/or resources to relieve homelessness.

The San Bernardino County Office of Homeless Services (OHS) serves as a “clearinghouse” of homeless issues for all County departments. Any homeless issues encountered by County staff can be referred to this office for resolution. OHS staff plays a vital role in the San Bernardino County Homeless Partnership as the administrative support unit to the organization. OHS ensures that the vision, mission and goals of the SBCHP are carried into effect.

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9 The Institute for Urban Initiatives consists of several community-based and faith-based institutes that respond to the economic, housing, and social needs of neighborhoods, cities, and counties from local community, regional, national, international, and faith-based perspectives.

Urban Initiatives has completed over 50 assessments for local government and private organizations throughout Southern California that have focused on affordable housing, business development and education for micro-businesses, fair housing, homelessness, migrant farming, and street vending. For more information visit www.urban-initiatives.org.

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10 Methodology
Unsheltered Count and Survey
To conduct the Count, Esri’s ArcGIS software platform was used. The 2022 Homeless Point-inTime Count was a configuration of Survey 123 for ArcGIS and Operations Dashboard for ArcGIS that was used by the County’s Office of Homeless Services in partnership with the Innovation and Technology Department to conduct the 2022 homeless count and survey.

The Homeless Point-in-Time Count efforts included the following applications:
 Homeless count survey, which included nearly 30 questions to meet HUD requirements concerning the collection of data for designated subpopulations and to meet local requests for additional information about the homeless population;  Homeless count dashboard, which was used to monitor results of the point-in-time count in real time; and
 Homeless count results application that provided for instant viewing of data and tables that detailed point-in-time results.

A digital survey form was designed to simplify the surveyor’s experience; only relevant questions were displayed based on the answers already entered, eliminating the need for surveyors to devote time and effort to determine which questions to ask, and resulting in a simpler linear surveying experience.

Additional logic was built into the form to perform calculations behind-the-scenes. For example, the form combined the answers from a subset of questions to determine whether the respondent met HUD’s definition of chronically homeless and calculated the result instantly as the survey was completed. Extensive testing was conducted to ensure the various combinations of factors all successfully calculated to a correct result. These calculations allowed for real-time monitoring of such metrics as the count was taking place using an Operations Dashboard, and ultimately eliminated the need for them to be calculated after the count was completed.

An added benefit of using digital surveys was the capture of location information. When a survey was conducted, the global positing system (GPS) location of the surveyor’s mobile device was captured, providing the geographic location of where the survey took place, and opening up opportunities for mapping and analyses not possible in previous years. (For safety and privacy reasons, location information was not captured for surveys of sheltered homeless persons.) Upon completion of the count, the data were examined and scrubbed to remove any invalid records, such as practice surveys submitted before the official start of the count. Steps were also taken to ensure that duplicate records – instances where the same individual was surveyed more than once in the same location – were identified and removed.

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11 Closer monitoring of undercounted areas
As previously noted, the ESRI Survey 123 app provided the ability for a homeless count dashboard, which was used to monitor results of the Point-in-Time Count in real-time. This provided instant viewing of data points on the dashboard in the command center during the time of the count. Each data point represented a household counted.

If data points did not appear in areas where homeless persons were known to live during the day of the count, volunteers were sent to the area to count, and persons counted were included in the total count if they were not previously counted.

If data points did not appear in areas where homeless persons were known to live, professional outreach workers were sent to those areas the next day and persons were included in the total count if they were not counted the day before. HUD allows for next day counting based upon two conditions: 1) any homeless persons encountered be asked if they were homeless on the day of the count and 2) a unique identifier has to be created for that person.

A unique identifier was created for all persons counted on the day of the count and the day after the count. If the same unique identifier appeared twice, it was assumed that it was the same person; also, a person was only included once in the total count if the person stated “yes” when asked “if they were homeless on the day of the count,” which was Thursday, February 24th.

Analyzing the subpopulation data
Only adults and unaccompanied teenage children who are counted are surveyed, accompanied children in families were not. Of the 2,373 adults counted, 1,377 or 58% were surveyed and 966 or 42% were observed. Counters were instructed that if they believed there was a safety issue, or if a person was sleeping, or if a person refused to be interviewed, they were to record “no” in the digital survey form for question 4, which was “Are you able to interview this person” and then to give the best guess-estimate for questions 5 – 8, which asked for gender, age, ethnicity, and race.

Sheltered
HUD encourages the use of Homeless Management Information Services (HMIS) data to generate sheltered counts and subpopulation data for programs with 100% of beds participating in HMIS.

Therefore, HMIS was used to gather the total number of occupied beds and the number of persons for each subpopulation.

A data collection instrument was used to collect the total number of occupied beds and the number of persons for each subpopulation for non-participating HMIS programs and for HMIS participating agencies whose HMIS data is incomplete and/or incorrect. The same questions used to collect subpopulation data through HMIS were used for the data collection instrument. Thus, sheltered count data for all sheltered programs was gathered either through a data collection sheet or HMIS.

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12 Key Findings

1. The number of adults and children counted as homeless increase by approximately 7% when the 2022 point-in-time homeless count of 3,333 is compared to the 2020 point-intime homeless count of 3,125.

2. The number of adults and children counted as unsheltered in 2022 was nearly identical-- 2,389 in 2022 and 2,390 in 2020.

3. The number of adults and children counted as sheltered increased by 28% when the 2022 sheltered count of 944 is compared to the 2020 sheltered count of 735.

4. More than three-fourths (79.2%) or 2,640 of the 3,333 homeless adults and children were counted within seven cities that include Barstow, Colton, Fontana, Ontario, Redlands, San Bernardino, and Victorville. These seven cities accounted for 1,822 or more than three-fourths (76.2%) of the total unsheltered population of 2,389 and 818 or

86.6% of the 944 persons counted in shelters and transitional housing.

Nearly three-fourths (72.6%) or 2,270 of the 3,125 homeless adults and children counted in 2020 were counted within eight cities that include Barstow, Colton, Fontana, Ontario, Redlands, Rialto, San Bernardino, and Victorville. These eight cities accounted for threefourths (74.5%) of the total unsheltered population as well as nearly three-fourths (70.2%) of persons counted in shelters and transitional housing including a safe haven program.

5. Nearly half (47%) of unsheltered adults who agreed to be surveyed stated that the city in which they first became homeless was San Bernardino (47%) and Victorville (6%).

6. More than one-fourth (27%) of adults and children counted as homeless in 2022 became homeless for the first time during the 12 months prior to the homeless count

7. Nearly one-fourth (22%) of adults stated “yes” when asked if they were released from prison or jail during the past 12 months, which was the case during the 2020 unsheltered homeless count (23%) and the 2019 homeless count (22%).

8. Nearly half (43.5%) of unsheltered adults were chronically homeless, which is defined as being homeless for one year or more and having a disabling condition such as mental illness, chronic health condition, and a physical disability.

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13 Executive Summary
There were 3,333 persons who were counted as homeless. The previous point-in-time homeless count and subpopulation survey was completed in 2020 when 3,125 persons were counted. A comparison of the last two counts reveals that
 208 more persons were counted in 2022, which represents an increase of 6.6%;  1 less person was counted as unsheltered in 2022 when compared to the unsheltered count in 2020; and
 209 more persons were counted as sheltered in 2022 when compared to the sheltered count in 2020, which represents an increase of 28.4%.

Table 1. Comparison of 2020 and 2022 Homeless Counts
Sheltered Unsheltered Total
2020 Homeless Count 735 2,390 3,125
2022 Homeless Count 944 2,389 3,333
Difference: +209 (28.4%) -1 (0.0%) +208 (6.6%)
Regarding sheltered homelessness, HUD states that
 CoCs must count all individuals or families who meet the criteria in paragraph (1)(ii) of the homeless definition in 24 CFR 578.3. This includes individuals and families “living in a supervised publicly or privately operated shelter designated to provide temporary living arrangements (including congregate shelters, transitional housing, and hotels and motels paid for by charitable organizations or by federal, state, or local government programs for low-income individuals)” on the night designated for the count. This includes individuals residing in Safe Haven projects.

Regarding unsheltered homelessness, HUD states that
 CoCs must count all individuals or families who meet the criteria in paragraph (1)(i) of the homeless definition in 24 CFR 578.3. This includes individuals and families “with a primary nighttime residence that is a public or private place not designed for or ordinarily used as a regular sleeping accommodation for human beings, including a car, park, abandoned building, bus or train station, airport, or camping ground” on the night designated for the count. Rapid Re-Housing (RRH) assisted households who are still unsheltered on the night of the count (e.g., staying in an encampment and being assisted by an RRH project to obtain housing) must be included as part of the unsheltered count.

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14 The following chart shows that the number of persons counted as unsheltered and sheltered in 2016 was 1,887 and 3,333 in 2022, which represents an increase of 1,446 persons or 77%.

The following table provides a breakdown of the total number of sheltered and unsheltered persons counted in 2022 by jurisdiction.

Table 2. Total Number of Sheltered and Unsheltered Adults and Children by Jurisdiction Jurisdiction Sheltered Unsheltered Total
Shelter Transitional
Housing
Adelanto 3 15 7 25
Apple Valley 1 0 26 27
Barstow 31 18 54 103
Big Bear City/Sugarloaf 0 0 1 1
Big Bear Lake 25 0 12 37
Bloomington 0 0 11 11
Cajon Canyon 0 0 0 0
Chino 0 0 23 23
Chino Hills 0 0 4 4
Colton 0 0 199 199
Crestline 0 0 13 13
Fontana 7 0 149 156
Grand Terrace 0 0 1 1
1,887
2,118
3,125
3,333
0 500
1,000
1,500
2,000
2,500
3,000
3,500
2016 2018 2020 2022
Total Number of Persons Counted as Homeless
from 2016 to 2022

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15 Jurisdiction Sheltered Unsheltered Total
Shelter Transitional
Housing
Hesperia 7 7 39 53
Highland 0 0 82 82
Joshua Tree 0 0 28 28
Lake Arrowhead 0 0 1 1
Landers 0 0 4 4
Lenwood 0 0 0 0
Loma Linda 0 0 9 9
Lytle Creek 0 0 0 0
Mentone/Crafton 0 0 0 0
Montclair 0 0 37 37
Morongo Valley 0 0 0 0
Muscoy 0 0 13 13
Needles 0 0 9 9
Ontario 75 13 105 193
Phelan/Pinion Hills 0 0 1 1
Rancho Cucamonga 0 0 47 47
Redlands 48 37 99 184
Rialto 0 0 70 70
Running Springs 0 0 7 7
San Bernardino 238 120 992 1,350
Twentynine Palms 1 0 14 15
Upland 0 52 37 89
Victorville 168 63 224 455
West Cajon Valley 0 0 0 0
Yermo 0 0 0 0
Yucaipa 0 0 11 11
Yucca Valley 7 8 42 57
County-wide or Unknown 0 0 18 18
Total: 611 333 2,389 3.333
Table 3 notes that more three-fourths(79.2%) or 2,640 of the 3,333 homeless adults and children were counted within seven cities that include Barstow, Colton, Fontana, Ontario, Redlands, San Bernardino, and Victorville. These seven cities accounted for 1,822 or more than three-fourths (76.2%) of the total unsheltered population of 2,389 and 818 or 86.6% of the 944 persons counted in shelters and transitional housing.

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16 Table 3. Jurisdictions with Largest Number of Homeless Persons Jurisdiction Sheltered Unsheltered Total
Shelter Transitional
Housing
County 611 333 2,389 3,333
Barstow 31 18 54 103
Colton 0 0 199 199
Fontana 7 0 149 156
Ontario 75 13 105 193
Redlands 48 37 99 184
San Bernardino 238 120 992 1,350
Victorville 168 63 224 455
Total: 567 251 1,822 2,640
Table 4 compares the total number of unsheltered persons, sheltered persons, and the total number counted in 2022 to 2020 for incorporated and various unincorporated areas.

Table 4. 2022 Comparison to 2020 by Jurisdiction
Incorporated and
Unincorporated
Areas
Total
Number of
Unsheltered Persons
Total
Number of
Sheltered Persons
Total
Number
2020 2022 Difference 2020 2022 Difference 2020 2022 Difference # # # %* # # # %* # # # %*
Adelanto 11 7 -4 -36 13 18 +5 +38 24 25 +1 +4
Apple Valley 24 26 +2 +8 7 1 -6 -86 31 27 -4 -13
Barstow 78 54 -24 -31 30 49 +19 +63 108 103 -5 -5
Big Bear
City/Sugarloaf
12 1 -11 -92 0 0 0 0 12 1 -11 -92
Big Bear Lake 0 12 +12 * 2 25 +23 * 2 37 +35 *
Bloomington 19 11 -8 -42 0 0 0 0 19 11 -8 -42
Cajon Canyon 0 0 0 0 0 0 0 0 0 0 0 0
Chino 31 23 -8 -26 0 0 0 0 31 23 -8 -26
Chino Hills 2 4 +2 +100 0 0 0 0 2 4 +2 +100
Colton 136 199 +63 +46 0 0 0 0 136 199 +63 +46
Crestline 22 13 -9 -41 0 0 0 0 22 13 -9 -41
Fontana 116 149 +33 +28 0 7 +7 * 116 156 +40 +34
Grand Terrace 5 1 -4 -80 0 0 0 0 5 1 -4 -80
Hesperia 19 39 +20 +105 13 14 +1 +8 32 53 +21 +66
Highland 78 82 +4 +5 0 0 0 0 78 82 +4 +5
Joshua Tree 54 28 -26 -48 5 0 -5 -100 59 28 -31 -52
Lake Arrowhead 11 1 -10 -91 0 0 0 0 11 1 -10 -91

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17 Incorporated and
Unincorporated
Areas
Total
Number of
Unsheltered Persons
Total
Number of
Sheltered Persons
Total
Number
2020 2022 Difference 2020 2022 Difference 2020 2022 Difference Landers 2 4 +2 +100 0 0 0 0 2 4 +2 +100
Lenwood 0 0 0 0 0 0 0 0 0 0 0 0
Loma Linda 27 9 -18 -67 24 0 -24 -100 51 9 -42 -82
Lytle Creek 0 0 0 0 0 0 0 0 0 0 0 0
Mentone/Crafton 0 0 0 0 0 0 0 0 0 0 0 0
Montclair 54 37 -17 -31 0 0 0 0 54 37 -17 -31
Morongo Valley 0 0 0 0 5 0 0 0 5 0 -5 -100
Muscoy 24 13 -11 -46 0 0 0 0 24 13 -11 -46
Needles 16 9 -7 -44 0 0 0 0 16 9 -7 -44
Ontario 74 105 +31 +42 28 88 +60 * 102 193 +91 +89
Phelan/Pinion
Hills
2 1 -1 -50 0 0 0 0 2 1 -1 -50
Rancho
Cucamonga
48 47 -1 -2 6 0 -6 -100 54 47 -7 -13
Redlands 141 99 -42 -30 45 85 +40 +89 186 184 -2 -1
Rialto 115 70 -45 -39 0 0 0 0 115 70 -45 -39
Running Springs 1 7 +6 * 0 0 0 0 1 7 +6 *
San Bernardino 823 992 +169 +20 233 358 +125 +54 1,056 1,350 +294 +28 Twentynine Palms 28 14 -14 -50 17 1 -16 -94 45 15 -30 -67 Upland 44 37 -7 -16 0 52 +52 * 44 89 +45 +102
Victorville 298 224 -74 -25 153 231 +78 +51 451 455 +4 +1 West Cajon Valley 0 0 0 0 0 0 0 0 0 0 0 0
Yermo 0 0 0 0 0 0 0 0 0 0 0 0
Yucaipa 13 11 -2 -15 4 0 -4 -100 17 11 -6 -35
Yucca Valley 44 42 +2 +5 27 15 -12 -44 71 57 -14 -20
County-wide** 18 18 0 0 123 0 -123 -100 141 18 -123 -87 Total: 2,390 2,389 -1 0 735 944 +209 +28 3125 3333 +208 +6.6 *percentages were only provided for differences that were 200% or less. **includes Domestic Violence survivor programs.

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18 Unsheltered Homelessness
Of the 3,333 persons counted in 2022, 2,389 or nearly three-fourths (71.7%) were unsheltered, which is defined by HUD as
“An individual or family who lacks a fixed, regular, and adequate nighttime residence, meaning: (i) An individual or family with a primary nighttime residence that is a public or private place not designed for or ordinarily used as a regular sleeping accommodation for human beings.”
HUD also requires that the total number of unsheltered and sheltered adults be broken down by various subpopulations including age, gender, race, and ethnicity. Of the 2,389 unsheltered persons counted, 2,373 were adults and 16 were children under age 18 in families.

Gender
The following table provides a breakdown by gender for adults and children under age 18 in families. There were no unaccompanied youth under age 18. HUD requires the summary to consist of men, women, transgender, gender non-conforming (i.e., not exclusively male or female), and questioning.

More than three-fourths (78.7%) of adults were male and more than half (56.3%) of children were female.

Table 5. Breakdown by Gender (n=2,389)
Adults
Children in
Families
Unaccompanied
Youth Under
Age 18
# % # % # %
Male 1,868 78.7 7 43.7 0 0.0
Female 482 20.3 9 56.3 0 0.0
Transgender 4 0.2 0 0.0 0 0.0
Gender Non-Conforming 17 0.7 0 0.0 0 0.0
Questioning 2 0.1 0 0.0 0 0.0
Total: 2,373 100 16 100 0 0.0
Ethnicity
Table 5 offers a breakdown by ethnicity. HUD requires the summary to consist of Hispanics or Latinos and non-Hispanics or Latinos.

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19 More than one-third (35.7%) of adults and nearly one-third (31.2%) of children were Hispanic or Latino.

Table 6. Breakdown by Ethnicity (n=2,389)
Adults Children in
Families
Unaccompanied
Youth Under
Age 18
# % # % # %
Hispanic or Latino 848 35.7 5 31.2 0 0
Non-Hispanic or Latino 1,525 64.3 11 68.8 0 0
Total: 2,373 100 16 100 0 0.0
Race
Table 7 provides a breakdown by race. It is important to note that instructions from HUD were to include Hispanics or Latinos in the race categories listed below because the designation “Hispanic or Latino” does not denote race.

Table 7. Breakdown by Race (n=2,389)
Adults Children in
Families
Unaccompanied
Youth Under
Age 18
# % # % # %
American Indian
or Alaska Native
76 3.2 0 0.0 0 0.0
Asian 29 1.2 1 6.2 0 0.0
Black or African American 434 18.3 3 18.8 0 0.0
Native Hawaiian or
Other Pacific Islander
18 0.7 0 0.0 0 0.0
White 1,449 61.1 10 62.5 0 0.0
Other 367 15.5 2 12.5 0 0.0
Total: 2,373 100 16 100 0 0.0
Age
Table 8 offers a breakdown by age for adults and children under age 18.

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20 Table 8. Breakdown by Age for Adults and Unaccompanied Children under Age 18 (n=2,389) Adults & Unaccompanied Children Under Age 18 # %
Under Age 18 16 0.7
Age 18 – 24 94 3.9
Age 25 – 39 836 35.0
Age 40 – 49 577 24.2
Age 50 – 54 289 12.1
Age 55 – 61 364 15.2
Age 62+ 213 8.9
Total: 2,389 100
Other Subpopulations
Table 9 provides a breakdown of other subpopulations for adults.

Table 9. Breakdown by Subpopulations (n=2,373)
Subpopulations: # %
Chronically Homeless Adults 1,027 43.5
Families including Chronically Homeless Families* 10 ** Persons w/HIV/AIDS 50 2.1
Persons w/Mental Health Problems 684 29.0
Substance Users 868 36.8
Veterans*** 166 7.0
Experiencing Homelessness Due to Fleeing Domestic
Violence, Dating Violence, Sexual Assault, or Stalking
166 7.0
*Families:
 Of the 10 families, 2 were chronically homeless that included 3 adults and 2 children.  The total number of adults in the 10 families was 13 and represents 0.5% of the total adult population of 2,373.
**10 families consisted of 13 adults and 16 children.
***Veterans:
 47.4% or 79 of the 166 veterans were chronically homeless.

Other Survey Questions
First Time Homeless
Did you become homeless for the first time during the past 12 months?

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21 The following chart shows that more than one-fourth (27%) of adults became homeless for the first time during the 12 months preceding the 2022 count, which was also the case in 2020.

Chronic Health Condition
Has a doctor or other medical professional ever told you that you have a chronic health condition that is life-threatening such as heart, lung, liver, kidney or cancerous disease? The next chart shows that 15% of adults stated “yes” when asked if a doctor or other medical professional ever told them that they had a chronic health condition that is life-threatening, which is a lesser percentage compared to the previous two unsheltered counts. 19%
29%
27%
0%
5%
10%
15%
20%
25%
30%
35%
2019 2020 2022
Did you become homeless for the first time
during the past 12 months?
19% 20%
15%
0%
5%
10%
15%
20%
25%
2019 2020 2022
Has a doctor or other medical professional ever told you that you have a chronic health condition that is life-threatening?

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22 Released from Prison or Jail
Were you released from prison or jail during the past 12 months? Nearly one-fourth (22%) of adults stated “yes” when asked if they were released from prison or jail during the 12 months preceding the 2022 count, which has been the case during the past two unsheltered homeless counts.

City First Homeless
Of the 1,373 adults who agreed to be interviewed, 1,228 answered the question, “In what city did you first become homeless?”
Of the 1,228 adults who answered the question, as noted in the next chart  Nearly half (47%) stated San Bernardino or Victorville—504 (41%) stated San Bernardino and 75 (6%) stated Victorville.
 329 or 27% stated the other eight cities listed in the chart below;  174 or 14% stated another city in San Bernardino County;  118 or 10% stated a city outside San Bernardino County; and  28 or 2% stated a city outside of California.
22% 23% 22%
0%
5%
10%
15%
20%
25%
2019 2020 2022
Have you been released from prison or jail
during the last 12 months?

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23 43
68 39 53
23 35 47
504
21 75
174
118
28 4%
6%
3% 4%
2%
3% 4%
41%
2%
6%
14%
10%
2% 0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
0 100
200
300
400
500
600
In what city did you first become homeless?
Number Percent

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24 Sheltered Homelessness
Of the 3,333 persons counted in 2022, 944 persons or 28.32% were sheltered. Among the 944 sheltered persons, 611 were counted in shelters or received non-congregated shelter through a motel voucher and 333 were counted in transitional housing programs. HUD states that persons living in shelters or transitional housing programs (including safe haven programs) on the night of the count must be included in the homeless count and subpopulation survey.

As required by HUD, the sheltered count included the number of persons and households sleeping in emergency shelters (including seasonal shelters) and transitional housing programs that were listed on the Housing Inventory Chart (HIC). In addition, any persons staying in hotels or motels as a result of receiving a voucher from a social service agency were included in the sheltered count per HUD’s instructions if the voucher program was listed on the HIC.

HUD also requires that the total number of sheltered persons be broken down by pre-designated subpopulations. The total number of sheltered persons by the pre-designated subpopulations for 2022 are listed in the table below.

The Homeless Inventory Count (HIC) was submitted by OHS staff to HUD on April 28, 2022. Prior to the homeless count, the HIC was specifically undated to include any new programs or exclude any programs no longer operational by OHS staff and Key Person Task Force members. A few changes were made to the HIC prior to the count.

HUD encourages the use of HMIS data to generate sheltered counts and subpopulation data for programs with 100% of beds participating in HMIS. Therefore, HMIS was used to gather the total number of occupied beds and the number of persons for each subpopulation. A data collection instrument was used to collect the total number of occupied beds and the number of persons for each subpopulation for non-participating HMIS programs and for HMIS participating agencies that do not have their HMIS data complete and correct. The same questions used to collect subpopulation data through HMIS were used for the data collection instrument. Thus, sheltered count data for all sheltered programs was gathered either through a data collection sheet or HMIS.

The following table provides a breakdown of the sheltered population (944 adults and children) by the subpopulations required by HUD.

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25 Table 10. Sheltered Population by Subpopulations
Subpopulation Number Percent
American Indian or Alaska Native 24 2.54
Asian 8 <1
Black/African American 309 32.73
Chronically Homeless Families (# of families) 4 <1
Chronically Homeless Families (total persons) 9 <1
Chronically Homeless Individuals 83 8.79
Chronically Homeless Veteran Individuals 7 <1
Don’t Know (Race) 0 0
Female 508 53.81
Hispanic/Latin 473 50.10
Households (total number) 656 69.49
Male 435 46.08
Multiple Races 98 10.38
Native Hawaiian or Other Pacific Islander 3 <1
Non-Hispanic/Latino 471 49.89
Number of Persons in Households 944 100
Persons Over Age 24 634 67.16
Persons with HIV/AIDS 20 2.11
Persons with Mental Health Problems 155 16.41
Persons with Substance Abuse Problems 80 8.47
Refused to Answer Race 1 <1
Refused to Answer Ethnicity 0 0
Transgender 1 <
Unaccompanied Women 267 28.28
Veterans 29 3.07
Victims of Domestic Violence 71 7.52
White 501 53.07
Youth Ages 18 – 24 56 5.93
Youth Under Age 18-Households w/only children 8 <1
*There were 656 households that made up the total number of sheltered persons, which was 944. Number and percentage are not cumulative.

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26 Appendix A:

Findings for Each Jurisdiction
in Which at Least 50 Adults
were Counted as Unsheltered

Page 845 of 1005 ends

27 Barstow
Total Number of Unsheltered Adults: 54
Of the 54 adults counted, volunteers were able to administer 38 surveys.

Demographic Information n=38
Gender: Number Percent
Male 26 68.5
Female 10 26.3
Transgender 0 0.0
Gender Non-Conforming (i.e., not exclusively male or female) 0 0.0 Questioning 1 2.6
Don’t Know or No Recorded Answer 1 2.6
Age:
18 to 24 2 5.3
25 - 39 13 34.2
40 – 49 7 18.4
50 – 54 2 5.3
55 – 61 10 26.3
62+ 4 10.5
Ethnicity:

Hispanic or Latino 5 13.2
Race:

African American or Black 8 21.1
American Indian or Alaska Native 1 2.6
Asian 1 2.6
Native Hawaiian or Pacific Islander 1 2.6
White 21 55.3
Multiple Races or Other 4 10.5
Don’t Know 2 5.3
Became Homeless for First Time During Past 12 Months: 16 42.1 Chronically Homeless: 7 18.4
Veteran Status: 3 7.9

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28 Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 4 10.5
HIV/AIDS: 2 5.3
Physical Disability That Seriously Limits Ability to Live Independently: 4 10.5
Developmental Disabilities: 0 0.0
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 8 21.1
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 4 10.5
Victims of Domestic Violence: 0 0.0
Experiencing Homelessness Due to Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking Released from Correctional Institutions During Past Year: 6 15.8 No Monthly Income: 18 47.4
$1 - $250 9 23.7
$251 - $500 3 7.9
$501 - $1,000 2 5.3
More Than $1,000 3 7.9
No Recorded Answer 3 7.9

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29 Colton
Total Number of Unsheltered Adults: 199
Of the 199 adults counted, volunteers were able to administer 58 surveys.

Demographic Information n=58
Gender: Number Percent
Male 48 82.8
Female 10 17.2
Transgender 0 0.0
Gender Non-Conforming (i.e., not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 0 0.0
Age:
18 to 24 1 1.7
25 - 39 16 27.6
40 – 49 14 24.2
50 – 54 9 15.5
55 – 61 12 20.7
62+ 6 10.3
Ethnicity:

Hispanic or Latino 22 37.9
Race:

African American or Black 7 12.1
American Indian or Alaska Native 0 0.0
Asian 0 0.0
Native Hawaiian or Pacific Islander 0 0.0
White 40 69.0
Multiple Races or Other 9 15.5
Don’t Know/Refused 2 3.4
Became Homeless for First Time During Past 12 Months: 16 27.6 Chronically Homeless: 22 37.9
Veteran Status: 5 8.6

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30 Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 6 10.3
HIV/AIDS: 0 0.0
Physical Disability That Seriously Limits Ability to Live Independently: 5 8.6
Developmental Disabilities: 0 0.0
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 9 15.5
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 33 56.9
Victims of Domestic Violence: 5 8.6
Experiencing Homelessness Due to Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking Released from Correctional Institutions During Past Year: 10 17.2 Monthly Income:

No Monthly Income 48 82.8
$1 - $250 4 6.9
$251 - $500 3 5.2
$501 - $1,000 1 1.7
More Than $1,000 2 3.4
No Recorded Answer/Refused 0 0.0

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31 Fontana
Total Number of Unsheltered Adults: 146
Of the 146 adults counted, volunteers were able to administer 90 surveys.

Demographic Information n=90
Gender: Number Percent
Male 67 74.4
Female 23 25.6
Transgender 0 0
Gender Non-Conforming (i.e., not exclusively male or female) 0 0 Don’t Know or No Recorded Answer 0 0
Age:
18 to 24 5 5.6
25 - 39 29 32.2
40 – 49 22 24.4
50 – 54 9 10.0
55 – 61 15 16.7
62+ 10 11.1
Ethnicity:

Hispanic or Latino 42 46.7
Race:

African American or Black 20 22.2
American Indian or Alaska Native 3 3.3
Asian 2 2.2
Native Hawaiian or Pacific Islander 0 0.0
White 55 61.1
Multiple Races or Other 6 6.7
Don’t Know/Refused 4 4.4
Became Homeless for First Time During Past 12 Months: 32 35.6 Chronically Homeless: 20 22.2
Veteran Status: 6 8.7
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 13 14.4

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32 HIV/AIDS: 1 1.1
Physical Disability That Seriously Limits Ability to Live Independently: 11 12.2
Developmental Disabilities: 6 6.7
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 14 15.6
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 10 11.1
Victims of Domestic Violence: 5 5.6
Experiencing Homelessness Due to Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking Released from Correctional Institutions During Past Year: 29 32.2 Monthly Income:

No Monthly Income 55 61.1
$1 - $250 2 2.2
$251 - $500 4 4.4
$501 - $1,000 11 12.2
More Than $1,000 16 17.8
No Recorded Answer 2 2.2

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33 Highland
Total Number of Unsheltered Adults: 82
Of the 82 adults counted, volunteers were able to administer 61 surveys.

Demographic Information n=61
Gender: Number Percent
Male 48 78.7
Female 13 21.3
Transgender 0 0
Gender Non-Conforming (i.e., not exclusively male or female) 0 0 Don’t Know or No Recorded Answer 0 0
Age:
18 to 24 6 9.8
25 - 39 27 44.3
40 – 49 8 13.1
50 – 54 12 19.7
55 – 61 7 11.5
62+ 1 1.6
Ethnicity:

Hispanic or Latino 34 55.7
Race:

African American or Black 13 21.3
American Indian or Alaska Native 1 1.6
Asian 0 0.0
Native Hawaiian or Pacific Islander 1 1.6
White 33 54.2
Multiple Races or Other 11 18.0
Don’t Know/Refused 2 3.3
Became Homeless for First Time During Past 12 Months: 9 14.8 Chronically Homeless: 33 54.1
Veteran Status: 3 4.9

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34 Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 7 11.5
HIV/AIDS: 3 4.9
Physical Disability That Seriously Limits Ability to Live Independently: 7 11.5
Developmental Disabilities: 6 9.8
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 19 31.1
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 30 49.2
Victims of Domestic Violence: 4 6.6
Experiencing Homelessness Due to Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking Released from Correctional Institutions During Past Year: 18 29.5 Monthly Income:

No Monthly Income 47 77.0
$1 - $250 6 9.8
$251 - $500 4 6.6
$501 - $1,000 2 3.3
More Than $1,000 2 3.3
No Recorded Answer 0 0.0

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35 Ontario
Total Number of Unsheltered Adults: 105
Of the 105 adults counted, volunteers were able to administer 68 surveys.

Demographic Information n=68
Gender: Number Percent
Male 47 69.1
Female 21 30.9
Transgender 0 0.0
Gender Non-Conforming (i.e., not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 0 0.0
Age:
18 to 24 2 2.9
25 - 39 24 35.3
40 – 49 16 23.5
50 – 54 9 13.2
55 – 61 11 16.2
62+ 6 8.8
Ethnicity:

Hispanic or Latino 35 51.5
Race:

African American or Black 8 11.8
American Indian or Alaska Native 2 2.9
Asian 1 1.5
Native Hawaiian or Pacific Islander 1 1.5
White 50 73.5
Multiple Races or Other 3 4.4
Don’t Know/Refused 3 4.4
Became Homeless for First Time During Past 12 Months: 22 32.4 Chronically Homeless: 23 33.8
Veteran Status: 1 1.5

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36 Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 12 17.6
HIV/AIDS: 1 1.5
Physical Disability That Seriously Limits Ability to Live Independently: 13 19.1
Developmental Disabilities: 3 4.4
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 14 20.6
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 13 19.1
Victims of Domestic Violence: 8 11.8
Experiencing Homelessness Due to Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking Released from Correctional Institutions During Past Year: 18 26.5 Monthly Income:

No Monthly Income 45 66.2
$1 - $250 7 10.3
$251 - $500 2 2.9
$501 - $1,000 5 7.4
More Than $1,000 7 10.3
No Recorded Answer 2 2.9

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37 Redlands
Total Number of Unsheltered Adults: 98
Of the 98 adults counted, volunteers were able to administer 58 surveys.

Demographic Information n=58
Gender: Number Percent
Male 47 81.0
Female 11 19.0
Transgender 0 0.0
Gender Non-Conforming (i.e., not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 0 0.0
Age:
18 to 24 3 5.2
25 - 39 15 25.9
40 – 49 17 29.3
50 – 54 4 6.9
55 – 61 15 25.9
62+ 4 6.9
Ethnicity:

Hispanic or Latino 16 27.6
Race:

African American or Black 5 8.6
American Indian or Alaska Native 4 6.9
Asian 1 1.7
Native Hawaiian or Pacific Islander 0 0.0
White 38 65.5
Multiple Races or Other 8 13.8
Don’t Know 2 3.4
Became Homeless for First Time During Past 12 Months: 8 13.8 Chronically Homeless: 8 13.8
Veteran Status: 8 13.8
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 12 20.7

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38 HIV/AIDS: 0 0.0
Physical Disability That Seriously Limits Ability to Live Independently: 13 22.4
Developmental Disabilities: 3 5.2
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 12 20.7
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 12 20.7
Victims of Domestic Violence: 7 12.1
Experiencing Homelessness Due to Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking Released from Correctional Institutions During Past Year: 5 8.6 Monthly Income:

No Monthly Income 32 55.2
$1 - $250 9 15.5
$251 - $500 4 6.9
$501 - $1,000 7 12.1
More Than $1,000 3 5.2
No Recorded Answer 3 5.2

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39 Rialto
Total Number of Unsheltered Adults: 69
Of the 69 adults counted, volunteers were able to administer 55 surveys.

Demographic Information n=55
Gender: Number Percent
Male 40 72.7
Female 15 27.3
Transgender 0 0.0
Gender Non-Conforming (i.e., not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 0 0.0
Age:
18 to 24 2 3.6
25 - 39 13 23.6
40 – 49 14 25.5
50 – 54 10 18.2
55 – 61 9 16.4
62+ 7 12.7
Ethnicity:

Hispanic or Latino 24 43.6
Race:

African American or Black 11 20.0
American Indian or Alaska Native 0 0.0
Asian 0 0.0
Native Hawaiian or Pacific Islander 0 0.0
White 22 40.0
Multiple Races or Other 12 21.8
Don’t Know 10 18.2
Became Homeless for First Time During Past 12 Months: 12 21.8 Chronically Homeless: 10 18.2
Veteran Status: 4 7.3

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40 Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 4 7.3
HIV/AIDS: 0 0.0
Physical Disability That Seriously Limits Ability to Live Independently: 8 14.5
Developmental Disabilities: 1 1.8
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 7 12.7
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 3 5.5
Victims of Domestic Violence: 2 3.6
Experiencing Homelessness Due to Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking Released from Correctional Institutions During Past Year: 7 12.7 Monthly Income:

No Monthly Income 22 40.0
$1 - $250 6 10.9
$251 - $500 2 3.6
$501 - $1,000 3 5.5
More Than $1,000 4 7.3
No Recorded Answer 18 32.7

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41 San Bernardino
Total Number of Unsheltered Adults: 989
Of the 989 adults counted, volunteers were able to administer 537 surveys.

Demographic Information n=537
Gender: Number Percent
Male 372 69.3
Female 161 30.0
Transgender 2 0.4
Gender Non-Conforming (i.e., not exclusively male or female) 0 0.0 Questioning 1 0.2
Don’t Know or No Recorded Answer 1 0.2
Age:
18 to 24 22 4.1
25 - 39 203 37.8
40 – 49 116 21.6
50 – 54 66 12.3
55 – 61 76 14.2
62+ 54 10.1
Ethnicity:

Hispanic or Latino 210 39.1
Race:

African American or Black 131 24.4
American Indian or Alaska Native 25 4.7
Asian 10 1.9
Native Hawaiian or Pacific Islander 5 0.9
White 259 48.2
Multiple Races or Other 92 17.1
Don’t Know 15 2.8
Became Homeless for First Time During Past 12 Months: 144 26.8 Chronically Homeless: 317 59.0
Veteran Status: 30 5.6

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42 Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 91 16.9
HIV/AIDS: 19 3.5
Physical Disability That Seriously Limits Ability to Live Independently: 128 23.8
Developmental Disabilities: 64 11.9
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 237 44.1
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 311 57.9
Victims of Domestic Violence: 36 6.7
Experiencing Homelessness Due to Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking Released from Correctional Institutions During Past Year: 114 21.0 Monthly Income:

No Monthly Income 418 77.8
$1 - $250 38 7.1
$251 - $500 14 2.6
$501 - $1,000 35 6.5
More Than $1,000 27 5.0
No Recorded Answer 5 0.9

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43 Victorville
Total Number of Unsheltered Adults: 220
Of the 220 adults counted, volunteers were able to administer 94 surveys.

Demographic Information n=94
Gender: Number Percent
Male 74 78.7
Female 19 20.2
Transgender 0 0.0
Gender Non-Conforming (i.e., not exclusively male or female) 0 0.0 Don’t Know or No Recorded Answer 1 1.1
Age:
18 to 24 5 5.3
25 - 39 30 31.9
40 – 49 29 30.9
50 – 54 11 11.7
55 – 61 11 11.7
62+ 8 8.5
Ethnicity:

Hispanic or Latino 34 36.2
Race:

African American or Black 14 14.9
American Indian or Alaska Native 2 2.1
Asian 0 0.0
Native Hawaiian or Pacific Islander 1 1.1
White 55 58.5
Multiple Races or Other 17 18.1
Don’t Know/refused 5 5.3
Became Homeless for First Time During Past 12 Months: 28 29.8 Chronically Homeless: 38 40.4
Veteran Status: 7 7.4

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44 Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease: 13 13.8
HIV/AIDS: 1 1.1
Physical Disability That Seriously Limits Ability to Live Independently: 11 11.7
Developmental Disabilities: 4 4.3
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently: 15 16.0
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently: 24 25.5
Victims of Domestic Violence: 1 1.1
Experiencing Homelessness Due to Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking Released from Correctional Institutions During Past Year: 21 22.3 Monthly Income:

No Monthly Income 63 67.0
$1 - $250 8 8.5
$251 - $500 7 7.4
$501 - $1,000 9 9.6
More Than $1,000 5 5.3
No Recorded Answer 2 2.1

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Page 864 of 1005 ends

Acknowledgements
The San Bernardino County Homeless Partnership wishes to thank all the individuals and organizations that contributed to the preparation, implementation, and success of the 2023 Point-In-Time Count and Subpopulation Survey. Such an endeavor would not be possible without the collaboration and efforts of volunteers, community groups, faith- and community-based organizations, county departments, city representatives and staff, homeless service providers, law enforcement and elected officials. Your hard work, time, and dedication to ending homelessness are greatly appreciated.
 Special thanks to the 583 community volunteers from across San Bernardino County who canvassed areas iden�fied as “green count zones” the morning of January 26, to complete the 2023 Point-In-Time-Count and Subpopula�on Survey.
 Special thanks to the following agencies and community organiza�ons that contributed staff �me, support and resources, and office space for planning, training, and development ac�vi�es to help make the 2023 Point-In-Time Count and Subpopula�on Survey a success:

Church for Whosoever – Apple Valley
Church of Latter-Day Saints – Redlands
City of Adelanto
City of Big Bear Lake
City of Barstow
City of Chino
City of Chino Hills
City of Colton
City of Fontana
City of Grand Terrace
City of Hesperia
City of Highland
City of Loma Linda
City of Montclair
City of Needles
City of Ontario
City of Rancho Cucamonga
City of Redlands
City of Rialto
City of San Bernardino
City of Twentynine Palms
City of Upland
City of Victorville
City of Yucaipa
Community Action Partnership
ESRI
Family Assistance Program
Good Shepherd Lutheran Church – Yucaipa
Inland Empire Health Plan – IEHP
Knowledge & Education for Your Success – KEYS
Mercy House – Ontario
Morongo Basin Haven
Mountain Homeless Coalition
New Hope Village
Office of Homeless Services
Redlands Charitable Resources Coalition
San Bernardino County Administrative Office –
Communications Team
San Bernardino County Aging and Adult Services
San Bernardino County Board of Supervisors
San Bernardino County Children and Family Services
San Bernardino County Community Revitalization
San Bernardino County Department of Behavioral Health
– InnROADS
San Bernardino County Department of Public Health
San Bernardino County Human Services
San Bernardino County Human Resources
San Bernardino County Information Services Department
San Bernardino County Library
San Bernardino County Probation Department
San Bernardino County Program Development Division
San Bernardino County Purchasing Department
San Bernardino County Sheriff’s Department
San Bernardino County Sheriff’s Department – Homeless
Outreach Proactive Enforcement (HOPE) Team
St. Richards Episcopal Church – Skyforest

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Step Up on Second
Social Work Action Group (SWAG)
Town of Apple Valley
Town of Yucca Valley
United States Veterans Administration – Loma Linda
Healthcare System
Victor Valley Resource Center
Water of Life Community Church/Citylink
PITC City and Agency Leads
Alexis Salcedo
Alma Hernandez
Ana Ordonez
Annette Karnes
Antoinette (Netty) Jackson
Ashley Esquivel
Barrie Owens
Brenda Lopez
Brent Rolf
Caleb Enriquez
Christina Rudsell
Christopher Giunta
Cynthia Alvarado
Darryl Evey
David Rabindranath
Debra Breidenbach-Sterling
Deputy Branden Davault
Deputy Mike Jones
Deputy Pat Rassmussen
Deputy Vicky Whitworth
Deputy Zakkary Planz
Detective C. Delaney
Erika Lewis-Huntley
Geovanni Quiroz
Jhocelyn Diaz-Reyes
Jobi Wood
Kellie Whitt
Leander Rodriguez
Lieutenant Raul Fileto
Lois Levitt
Maribel Hernandez
Mario Flores
Marlandra Johnson
Matt Hickey
Melinda Sayre
Michelle Meza
Misti Hunt
Natalie Komuro
Officer Robert Hargett
Sheree Lewis
Silvia Urenda
Sue Walker
Tim Johnson
Tom Hernandez
Tom Ingles
Tricia Gonzales
Vanessa Cabrera
Wendell Wilson

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4 Special thanks to the San Bernardino County Information Technology Department (ITD) for their expertise and guidance concerning the design and implementation of the homeless count mobile app, providing targeted mapping, and for data cleaning.

Brent Rolfe, Systems Development Team Leader
Lindsay King, GIS Business System Analyst
Natalie M. Campos, Business System Analyst III
Special thanks to our research consultants, the Institute for Urban Initiatives, for their expertise and guidance through the entire Point-In-Time Count and Subpopulation Survey process, including methodology development and implementation, planning coordination and guidance, and production of the final report.

Joe Colletti, PhD, Executive Director
Sofia Herrera, PhD, Research Director
Thelma Herrera, Graphic Designer
Christy Hamilton, Research Project Manager

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5 Table of Contents
Page
Executive Summary 6
Background Information 11
When was the Count conducted? 11
Who was counted? 11
Who was not counted? 12
Who carried out the Count? 13
Methodology 14
Unsheltered Count and Survey 14
Sheltered Count 15
Unsheltered Homelessness 16
Sheltered Homelessness 23
Key Findings 25
Appendix A: 26
Findings for Each Jurisdiction in Which at Least 50 Adults were counted as Unsheltered
Appendix B: 91
Unsheltered Count Survey

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6 Executive Summary
There were 4,195 adults and children who were counted as homeless during the 2023 Point-inTime Count and Survey. The previous point-in-time homeless count and survey was completed in 2022 during which 3,333 persons were counted. A comparison of last two counts reveals that • 862 more persons were counted in 2023, which represents an increase of 25.9%; • 587 more persons were counted as unsheltered in 2023 when compared to the unsheltered count in 2022, which represents an increase of 24.6%; and • 275 more persons were counted as sheltered in 2023 when compared to the sheltered count in 2022, which represents an increase of 29.1%.

Table 1. Comparison of 2022 and 2023 Homeless Counts
Sheltered Unsheltered Total
2022 Homeless Count 944 2,389 3,333
2023 Homeless Count 1,219 2,976 4,195
Difference: +275 (+29.1%) +587 (24.6%) +862 (25.9%)
Regarding sheltered homelessness, HUD states that
• CoCs must count all individuals or families who meet the criteria in paragraph (1)(ii) of the homeless definition in 24 CFR 578.3. This includes individuals and families “living in a supervised publicly or privately operated shelter designated to provide temporary living arrangements (including congregate shelters, transitional housing, and hotels and motels paid for by charitable organizations or by federal, state, or local government programs for low-income individuals)” on the night designated for the count. This includes individuals residing in Safe Haven projects.

Regarding unsheltered homelessness, HUD states that
• CoCs must count all individuals or families who meet the criteria in paragraph (1)(i) of the homeless definition in 24 CFR 578.3. This includes individuals and families “with a primary nighttime residence that is a public or private place not designed for or ordinarily used as a regular sleeping accommodation for human beings, including a car, park, abandoned building, bus or train station, airport, or camping ground” on the night designated for the count. Rapid Re-Housing (RRH) assisted households who are

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7 still unsheltered on the night of the count (e.g., staying in an encampment and being assisted by an RRH project to obtain housing) must be included as part of the unsheltered count.

The following chart shows that the number of persons counted as unsheltered and sheltered in 2018 was 2,118 and 4,195 in 2023, which represents an increase of 2,077 persons or 98.1%.

Chart 1. Persons Counted 2018 - 2023
The following table provides a breakdown of the total number of sheltered and unsheltered persons counted in 2023 by jurisdiction.

Table 2. Total Number of Sheltered and Unsheltered Adults and Children by Jurisdiction Jurisdiction Sheltered Unsheltered Total
Shelter Transitional
Housing
Adelanto 0 13 22 35
Apple Valley 3 0 32 35
Barstow 42 24 88 154
Big Bear City/Sugarloaf 0 0 2 2
Big Bear Lake 5 13 18 36
Bloomington/Crestmore 0 0 25 25
Blue Jay 0 0 3 3
Cajon Canyon 0 0 4 4
Cedarpines Park 0 0 1 1
Chino 0 0 28 28
2,118
2,607
3,125 3,333
4,195
0 500
1,000
1,500
2,000
2,500
3,000
3,500
4,000
4,500
2018 2019 2020 2022 2023
Total Number of Persons Counted as Homeless

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8 Chino Hills 0 0 4 4
Colton 62 0 150 212
Crestline 2 0 10 12
Devore 0 0 5 5
Fontana 0 0 240 240
Grand Terrace 0 0 6 6
Hesperia 5 0 59 64
Highland 25 0 61 86
Joshua Tree 0 0 42 42
Lake Arrowhead 2 0 2 4
Landers 0 0 2 2
Lenwood 0 0 0 0
Loma Linda 0 0 17 17
Lytle Creek 0 0 0 0
Mentone/Crafton 2 0 6 8
Montclair 0 0 71 71
Morongo Valley 0 0 0 0
Muscoy 0 0 13 13
Needles 0 0 6 6
Ontario 69 11 107 187
Phelan/Pinion Hills 0 0 4 4
Rancho Cucamonga 0 0 70 70
Redlands 29 51 244 324
Rialto 0 0 70 70
Running Springs 0 0 3 3
San Bernardino 276 209 1,017 1,502
Skyforest 0 0 1 1
Twentynine Palms 0 0 75 75
Twin Peaks 0 0 5 5
Upland 0 48 32 80
Valley of Enchantment 0 0 6 6
Victorville 219 71 317 607
West Cajon Valley 0 0 0 0
Yermo 0 0 0 0
Yucaipa 8 0 22 30
Yucca Valley 23 7 80 110
Countywide or Unknown 0 0 6 6
Total: 772 447 2,976 4,195

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9 Table 3 notes that more than three-fourths (76.9%) or 3,226 of the 4,195 homeless adults and children were counted within seven cities that include Barstow, Colton, Fontana, Ontario, Redlands, San Bernardino, and Victorville. These seven cities accounted for 2,163 nearly threefourths (72.7%) or 2,163 of the total unsheltered population of 2,976 and 1,063 or 87.2% of the 1,219 persons counted in shelters and transitional housing.

Table 3. Jurisdictions with Largest Number of Homeless Persons Jurisdiction Sheltered Unsheltered Total
Shelter Transitional
Housing
County 772 447 2,976 4,195
Barstow 42 24 88 154
Colton 62 0 150 212
Fontana 0 0 240 240
Ontario 69 11 107 187
Redlands 29 51 244 324
San Bernardino 276 209 1,017 1,502
Victorville 219 71 317 607
Total: 697 366 2,163 3,226
Table 4 compares the total number of unsheltered persons, sheltered persons, and the total number counted in 2022 to 2020 for incorporated and various unincorporated areas.

Table 4. 2022 Comparison of Total Number of Persons Counted in 2022 to 2023 by Jurisdiction Incorporated and
Unincorporated
Areas
Total
Number of
Unsheltered Persons
Total
Number of
Sheltered Persons
Total
Number
2022 2023 Difference 2022 2023 Difference 2022 2023 Difference # # # %* # # # %* # # # %*
Adelanto 7 22 +15 * 18 13 -5 -28 25 35 +10 +40
Apple Valley 26 32 +6 +23 1 3 -2 -200 27 35 +8 +30
Barstow 54 88 +34 +63 49 66 +17 +35 103 154 +51 +50
Big Bear City/
Sugarloaf 1 2 +1 +100 0 0 0 0 1 2 +1 +100
Big Bear Lake 12 18 +6 +50 25 18 -7 -28 37 36 -1 -3
Bloomington/
Crestmore 11 25 +14 +127 0 0 0 0 11 25 +14 +127
Blue Jay 0 3 +3 * 0 0 0 0 0 3 +3 *

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10 Cajon Canyon 0 4 +4 * 0 0 0 0 0 4 +4 *
Cedarpines Park 0 1 +1 +100 0 0 0 0 0 1 +1 +100
Chino 23 28 +5 +22 0 0 0 0 23 28 +5 +22
Chino Hills 4 4 0 0 0 0 0 0 4 4 0 0
Colton 199 150 +49 +25 0 62 +62 * 199 212 +13 +7
Crestline 13 10 -3 -23 0 2 +2 +200 13 12 -1 -8
Devore 0 5 +5 * 0 0 0 0 0 5 +5 *
Fontana 149 240 +91 +61 7 0 -7 * 156 240 +84 +54
Grand Terrace 1 6 +5 * 0 0 0 0 1 6 +5 *
Hesperia 39 59 +20 +51 14 5 -9 -64 53 64 +11 +21
Highland 82 61 -21 -26 0 25 +25 * 82 86 +4 +5
Joshua Tree 28 42 +14 +50 0 0 0 0 28 42 +14 +50
Lake Arrowhead 1 2 +1 +100 0 2 +2 +200 1 4 +3 *
Landers 4 2 -2 -50 0 0 0 0 4 2 -2 -50
Lenwood 0 0 0 0 0 0 0 0 0 0 0 0
Loma Linda 9 17 +8 +89 0 0 0 0 9 17 +8 +89
Lytle Creek 0 0 0 0 0 0 0 0 0 0 0 0
Mentone/Crafton 0 6 +6 * 0 2 +2 +200 0 8 +8 *
Montclair 37 71 +34 +92 0 0 0 0 37 71 +34 +92
Morongo Valley 0 0 0 0 0 0 0 0 0 0 0 0
Muscoy 13 13 0 0 0 0 0 0 13 13 0 0
Needles 9 6 -3 -33 0 0 0 0 9 6 -3 -33
Ontario 105 107 +2 +2 88 80 -8 -9 193 187 -6 -3
Phelan/Pinion
Hills 1 4 +3 * 0 0 0 0 1 4 +3 *
Rancho
Cucamonga 47 70 +23 +49 0 0 0 0 47 70 +23 +49
Redlands 99 244 +145 +146 85 80 -5 -6 184 324 +140 +76
Rialto 70 70 0 0 0 0 0 0 70 70 0 0
Running Springs 7 3 -4 -57 0 0 0 0 7 3 -4 -57
San Bernardino 992 1,017 +25 +3 358 485 +127 +35 1,350 1,502 +152 +11 Skyforest 0 1 +1 +100 0 0 0 0 0 1 +1 +100
Twentynine Palms 14 75 +61 * 1 0 -1 -100 15 75 +60 *
Twin Peaks 0 5 +5 * 0 0 0 0 0 5 +5 *
Upland 37 32 -5 -14 52 48 -4 -8 89 80 -9 -10
Valley of
Enchantment 0 6 +6 * 0 0 0 0 0 6 +6 *
Victorville 224 317 +93 +42 231 290 +59 +26 455 607 +152 +33 West Cajon Valley 0 0 0 0 0 0 0 0 0 0 0 0
Yermo 0 0 0 0 0 0 0 0 0 0 0 0
Yucaipa 11 22 +11 +100 0 8 +8 * 11 30 +19 +173
Yucca Valley 42 80 +38 +90 15 30 +15 +100 57 110 +53 +93 Countywide** 18 6 -12 -67 0 0 0 0 18 6 -12 -67
Total: 2,389 2,976 +587 +25 944 1,219 +275 +29 3,333 4,195 +862 +26 *percentages are only provided for differences that were 200% or less. **includes Domestic Violence survivor programs.

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11 Background Information
The U.S. Department of Housing and Urban Development (HUD), as part of its requirements for local Continuums of Care (CoCs) to continue to receive continuum of care funding for homeless persons, requires CoCs to conduct “one-day point-in-time” sheltered and unsheltered homeless counts during the last 10 days of January. The CA-609 San Bernardino City and County CoC is one of nearly 400 jurisdictions nationwide that submit an annual application to HUD for continuum of care funding.

HUD requires CoCs to conduct a sheltered count every year and an unsheltered count every other year. The San Bernardino City and County CoC conducts an annual unsheltered count as do more than half of California’s 44 CoCs.

When was the count conducted?
The unsheltered homeless count was conducted on Thursday, January 26, 2023, and began at 6 a.m. The sheltered count included residents of shelters and transitional housing programs throughout the county who slept in these facilities during the night of January 25 through the early morning of January 26.

HUD allows counting in hard-to-reach and remote places to continue up to seven days after the count as long as persons are asked if they were homeless on the day of the count and a unique identifier is used to prevent duplication. A limited amount of counting occurred during the seven days following the count in a few hard-to-reach and remote places and other places where counting did not take place because of various reasons.

Who was counted?
Per HUD’s instructions, a person was considered homeless, and thus counted, only when they fell within the HUD-based definition by residing in one of the places described below:
• In places not meant for human habita�on, such as cars, parks, sidewalks, and abandoned buildings;
• In an emergency shelter; and
• In transi�onal housing for homeless persons.

Each person who was counted was also asked a series of survey questions that ensured that all HUD required subpopulation data was collected that included adults with:
• HIV/AIDS;
• Serious mental illness; and

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12 • Substance use disorders.

Subpopulations also included:
• Families;
• Chronically homeless families and individuals;
• Veterans; and
• Youth age 18 – 24.

Several questions to gather local desired information were also asked and included:
• In what city did you first become homeless?
• In what city are you living now?
• Did you become homeless for the first �me during the past 12 months? • Have you been released from prison or jail during the last 12 months? • How much is your monthly income?
Who was not counted?
Per HUD’s instructions, a person was not considered homeless if the person resided in one of the following places noted below:
• Medical facili�es, such as hospitals, psychiatric facili�es, and nursing homes; • Jails, prisons, or juvenile deten�on facili�es;
• Chemical dependency facili�es, such as substance use treatment facili�es and detox centers;
• Foster care homes or foster care group homes.

Also, per HUD’s instructions, children identified by McKinney-Vento Homeless Coordinators at schools as homeless should not be counted. Children may be included in the count if they live in an emergency shelter or transitional housing program, or if they are unsheltered.

Lastly, HUD does not consider persons who are “doubled up,” or persons who are “near homelessness” to be homeless but considers them to be at risk of becoming homeless. Thus, such persons were not included in the homeless count.

San Bernardino County, like many other counties, has a substantial number of households that are at risk of becoming homeless. The Census Bureau noted that 13.2 percent or approximately 110,000 households (consisting of approximately 333,000 residents) in the county were living at or below the poverty level as reported in the 2022 American Community Survey.

Many of these persons can become homeless because of social structural issues such as increases in rent, loss of jobs, and rising health care costs. In addition, personal experiences such as

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13 domestic violence, physical disabilities, mental illness, and substance abuse can cause members of a low-income household or an entire household to become homeless. Often, one or more of these causes factor into a household’s homelessness experience.

Who carried out the count?
The homeless count and subpopulation survey was a joint effort of the San Bernardino County Homeless Partnership, the San Bernardino County Office of Homeless Services, and the Institute for Urban Initiatives. More than 800 community volunteers were recruited to execute the count and subpopulation survey. As noted in the Acknowledgements section of this report, there were 38 agencies, plus 24 cities and towns, that contributed staff time and office space for the training and deployment of counters and there were 24 law enforcement agencies that provided their time, knowledge, and expertise regarding locations of homeless persons. Also, there were nearly 16 agencies and county departments that helped with the planning process, including the San Bernardino County Innovation and Technology Department (ITD), which created maps to guide counters.

The San Bernardino County Homeless Partnership (SBCHP) was formed to provide a more focused approach to issues of homelessness within San Bernardino County. Its primary purpose is to develop a countywide public and private partnership and to coordinate services and resources to reduce homelessness in San Bernardino County. The partnership consists of community and faith-based organizations, educational institutions, non-profit organizations, private industry, and federal, state, and local governments. SBCHP was developed to promote a strong collaboration between agencies to direct the planning, development, and implementation of the county’s strategy to prevent and reduce homelessness. The partnership provides leadership in creating a comprehensive countywide network of service delivery to homeless and near-homeless households by facilitating better communication, planning, coordination, and cooperation among all entities that provide services and/or resources to relieve homelessness.

The San Bernardino County Office of Homeless Services (OHS) serves as a “clearinghouse” of homeless issues for all county departments. Any homeless issues encountered by county staff can be referred to this office for resolution. OHS staff plays a vital role in the San Bernardino County Homeless Partnership as the administrative support unit to the organization. OHS ensures that SBCHP’s vision, mission and goals are carried into effect.

The Hub for Urban Initiatives consists of several community- and faith-based institutes that respond to the economic, housing, and social needs of neighborhoods, cities, and counties from local community, regional, national, international, and faith-based perspectives. Urban Initiatives has completed over 100 assessments for local government and private organizations throughout Southern California that have focused on affordable housing, business development and education for micro-businesses, fair housing, homelessness, migrant farming, and street vending.

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14 Methodology
Unsheltered Count and Survey
To conduct the count, Esri’s ArcGIS software platform was used. The 2023 Homeless Point-inTime Count was a configuration of Survey 123 for ArcGIS and Operations Dashboard for ArcGIS that was used by the county’s Office of Homeless Services in partnership with the Innovation and Technology Department to conduct the 2023 homeless count and survey.

The Homeless Point-in-Time Count efforts included the following applications:
• Homeless count survey, which included nearly 30 questions to meet HUD requirements concerning the collection of data for designated subpopulations and to meet local requests for additional information about the homeless population; • Homeless count dashboard, which was used to monitor results of the point-in-time count in real time; and
• Homeless count results application that provided for instant viewing of data and tables that detailed point-in-time results.

A digital survey form was designed to simplify the surveyor’s experience; only relevant questions were displayed based on the answers input, eliminating the need for surveyors to devote time and effort to determine which questions to ask, and resulting in a streamlined surveying experience.

Additional logic was built into the form to perform calculations behind-the-scenes. For example, the form combined the answers from a subset of questions to determine whether the respondent met HUD’s definition of chronically homeless and calculated the result instantly as the survey was completed. Extensive testing was conducted to ensure the various combinations of factors were all successfully calculated to a correct result. These calculations allowed for real-time monitoring of such metrics as the count was taking place using an Operations Dashboard, ultimately eliminating the need for the calculations after the count was completed.

An added benefit of using digital surveys was the capture of location information. When a survey was conducted, the global positioning system (GPS) location of the surveyor’s mobile device was captured, providing the geographic location of where the survey took place, and opening up opportunities for mapping and analyses not possible in previous years. (For safety and privacy reasons, location information was not captured for surveys of sheltered homeless persons.) Upon completion of the count, the data were examined and scrubbed to remove any invalid records, such as practice surveys submitted before the official start of the count. Steps were also taken to ensure that duplicate records – instances where the same individual was surveyed more than once in the same location – were identified and removed.

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15 Closer monitoring of undercounted areas
As previously noted, the ESRI Survey 123 app provided the ability for a homeless count dashboard, which was used to monitor results of the Point-in-Time Count in real-time. This provided instant viewing of data points on the dashboard in the command center during the time of the count. Each data point represented a household counted.

During the count, if data points did not appear in areas where homeless persons were known to live, volunteers were sent to the area to count, and persons counted were included in the total count if they were not previously counted.

After the count, if data points did not appear in areas where homeless persons were known to live, professional outreach workers were sent to those areas the next day and persons were included in the total count if they were not previously counted. HUD allows for next day counting based upon two conditions: 1) any homeless persons encountered be asked if they were homeless on the day of the count and 2) a unique identifier must be created for that person.

A unique identifier was created for all persons counted on the day of the count and the day after the count. If the same unique identifier appeared twice, it was assumed that it was the same person; also, a person was only included once in the total count if the person stated “yes” when asked “if they were homeless on the day of the count,” which was Thursday, January 26th.

Analyzing the subpopulation data
Only adults and unaccompanied teenage children who are counted are surveyed, accompanied children in families are not. Of the 2,959 adults and unaccompanied children under 18 counted, 1,743 or 59% were surveyed and 1,216 or 41% were observed. Counters were instructed to record “no” in the digital survey form for question 4, “Are you able to interview this person” and to give their best guess-estimate for questions 5 – 8, which asked for gender, age, ethnicity, and race, if they believed there was a safety issue, a persons was sleeping, or a person refused to be interviewed.

Sheltered
HUD encourages the use of Homeless Management Information Services (HMIS) data to generate sheltered counts and subpopulation data for programs with 100% of beds participating in HMIS.

Therefore, HMIS was used to gather the total number of occupied beds and the number of persons for each subpopulation.

A data collection instrument was used to collect the total number of occupied beds and the number of persons for each subpopulation for non-participating HMIS programs and for HMIS participating agencies whose HMIS data is incomplete and/or incorrect. The same questions used to collect subpopulation data through HMIS were used for the data collection instrument.

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16 Unsheltered Homelessness
Of the 4,195 persons counted as homeless in 2023, 2,976 or nearly three-fourths (70.9%) were unsheltered, which is defined by HUD as
“An individual or family who lacks a fixed, regular, and adequate nighttime residence, meaning: (i) An individual or family with a primary nighttime residence that is a public or private place not designed for or ordinarily used as a regular sleeping accommodation for human beings.”
HUD also requires that the total number of unsheltered and sheltered adults be broken down by various subpopulations including age, gender, race, and ethnicity. Of the 2,976 unsheltered persons counted, 2,948 were adults, 11 were unaccompanied children under age 18, and 17 were children under age 18 in families.

HUD requires that the following demographic information be included in the Point-in-Time Count chart submission to HUD: Gender, Ethnicity, Race, and Age. Thus, the following questions were included in the homeless count survey:

What is Your Gender?
The following table provides a breakdown by gender for adults, unaccompanied youth under age 18, and accompanied children under age 18 in families. HUD requires the summary to consist of men, women, transgender, gender non-conforming (i.e., not exclusively male or female), and questioning.

Nearly three-fourths (70.8%) of adults were male and more than one-fourth (28.3%) of adults were female.

More than half (54.5%) of unaccompanied youth under age 18 were male and a little less than half (45.5%) were female.

Nearly half (47.1%) of accompanied children under age 18 in families were male and nearly half (47.1%) were female.

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17 Table 5. Breakdown by Gender
Adults
Unaccompanied
Youth Under
Age 18
Accompanied
Children Under
Age 18 in Families
# % # % # %
Male 2,087 70.8 6 54.5 8 47.1
Female 834 28.3 5 45.5 8 47.1
Transgender 3 0.1 0 0.0 0 0.0
Gender Non-Conforming 15 0.5 0 0.0 0 0.0
Questioning 0 0.0 0 0.0 0 0.0
Unknown 9 0.3 0 0.0 1 5.8
Total: 2,948 100 11 100 17 100
Are You Hispanic/Latin(a)(o)(x)?
Table 6 offers a breakdown by ethnicity. HUD requires the summary to consist of Hispanic/Latin (a)(o)(x) and non-Hispanic/Latin(a)(o)(x).

More than one-third (37.1%) of adults and more than one-third (36.4%) of unaccompanied youth under age 18 were Hispanic/Latin(a)(o)(x). Nearly one-fourth (23.5%) of accompanied children under age 18 in families were Hispanic/Latin(a)(o)(x).

Table 6. Breakdown by Ethnicity
Adults
Unaccompanied
Youth Under
Age 18
Accompanied
Children Under
Age 18 in Families
# % # % # %
Hispanic/Latin(a)(o)(x) 1,094 37.1 4 36.4 4 23.5
Non-Hispanic/Latin(a)(o)(x) 1,813 61.5 7 63.6 12 70.6
Unknown 41 1.4 0 0.0 1 5.9
Total: 2,948 100 11 100 17 100
What is Your Race?
The following table provides a breakdown by race.

Nearly half (49.8%) of adults identified as White, nearly half (45.4%) of unaccompanied youth under age 18 identified as multiple races, and more than half of accompanied children under age 18 in families were identified as Black, African American, or African by an adult in family.

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18 Table 7. Breakdown by Race
Adults
Unaccompanied
Youth Under
Age 18
Accompanied
Children Under
Age 18 in Families
# % # % # %
American Indian, Alaska
Native, or Indigenous 106 3.6 0 0.0 0 0.0
Asian or Asian American 35 1.2 0 0.0 0 0.0
Black, African American,
or African 590 20.0 2 18.2 10 58.8
Native Hawaiian or
Other Pacific Islander 35 1.2 0 0.0 0 0.0
White 1,468 49.8 4 36.4 4 23.5
Multiple Races 528 17.9 5 45.4 2 11.8
Unknown 186 6.3 0 0.0 1 5.9
Total: 2,948 100 11 100 17 100
How Old Are You?
Table 8 offers a breakdown by age for adults according to HUD required age groups.

More than half (53.3%) of adults were age 44 or younger: 5.1% were age 18 – 24; 22.0% were age 25 – 34; and 26.2% were age 35 – 44.

Less than half (46.7%) of adults were age 45 or older: 22.5% were age 45 – 54; 18.8% were age 55 – 64; and 5.4% were age 65+.

Table 8. Breakdown by Age for Adults
Adults # %
Age 18 – 24 150 5.1
Age 25 – 34 649 22.0
Age 35 – 44 773 26.2
Age 45 – 54 663 22.5
Age 55 – 64 554 18.8
Age 65+ 159 5.4
Total: 2,948 100

Page 881 of 1005 ends

19 The next table notes that more than half (55.5%) or 6 of the 11 unaccompanied children under age 18 were 17 years old and less than half (45.5%) or 5 of the 11 were age 16.

Table 9. Breakdown by Age for Unaccompanied Children Under Age 18 Unaccompanied Children Under Age 18 # %
Age 16 5 45.5
Age 17 6 55.5
Total: 11 100
Other Subpopulations
Table 10 provides a breakdown of other subpopulations for adults.

Table 10. Breakdown by Subpopulations (n=2,948)
Subpopulations: # %
Chronically Homeless Adults 1,300 44.1
Families including Chronically Homeless Families* 11 ** Persons w/HIV/AIDS 35 1.2
Persons w/Mental Health Problems 646 21.9
Substance Users 929 31.5
Veterans*** 203 6.9
Experiencing Homelessness Due to Fleeing Domestic
Violence, Dating Violence, Sexual Assault, or Stalking 268 9.1 *Families:
• Of the 11 families, 4 were chronically homeless that included 4 adults and 5 children. • The total number of adults in the 11 families was 14 and represents 0.5% of the total adult popula�on of 2,948.
**11 families consisted of 14 adults and 17 children.
***Veterans:
• 46.2% or 94 of the 203 veterans were chronically homeless.

Other Survey Questions
Other questions were included in the survey that were not required by HUD and include

Page 882 of 1005 ends

20 • ŝĚLJŽƵďĞĐŽŵĞŚŽŵĞůĞƐƐĨŽƌƚŚĞĮƌƐƚƟŵĞĚƵƌŝŶŐƚŚĞƉĂƐƚϭϮŵŽŶƚŚƐ͍ o Of the 1,732 adults who were interviewed, 691 or 39.9% stated “yes.” • ,ĂƐĂĚŽĐƚŽƌŽƌŽƚŚĞƌŵĞĚŝĐĂůƉƌŽĨĞƐƐŝŽŶĂůĞǀĞƌƚŽůĚLJŽƵƚŚĂƚLJŽƵŚĂǀĞĂĐŚƌŽŶŝĐ ŚĞĂůƚŚĐŽŶĚŝƟŽŶƚŚĂƚŝƐůŝĨĞ-ƚŚƌĞĂƚĞŶŝŶŐƐƵĐŚĂƐŚĞĂƌƚ͕ůƵŶŐ͕ůŝǀĞƌ͕ŬŝĚŶĞLJ͕ ŽƌĐĂŶĐĞƌŽƵƐ ĚŝƐĞĂƐĞ͍
o Of the 1,732 adults who were interviewed, 245 or 14.1% stated “yes.” • ,ĂǀĞ LJŽƵĞǀĞƌďĞĞŶŝŶĨŽƐƚĞƌĐĂƌĞ͍
o Of the 1,732 adults who were interviewed, 217 or 12.5% stated “yes.” • ,ĂǀĞLJŽƵďĞĞŶŝŶĐĂƌĐĞƌĂƚĞĚĚƵƌŝŶŐƚŚĞůĂƐƚϭϮŵŽŶƚŚƐ͍ o Of the 1,732 adults who were interviewed, 396 or 22.9% stated “yes.” • How much is your ŵŽŶƚŚůLJŝŶĐŽŵĞ͍
o As noted in the following chart, more than three-fourths (77%) of survey respondents had no monthly income (63%) or monthly income of $500 or less (14%).

Chart 2. Monthly Income
1,096
234
142 152 108
63%
14%
8% 9%
6%
0%
10%
20%
30%
40%
50%
60%
70%
0 200
400
600
800
1,000
1,200
No Income $1 - $500 $501 - $1000 More than $1000 Unknown How Much is Your Monthly Income
Number Percent

Page 883 of 1005 ends

21 • /ŶǁŚĂƚĐŝƚLJĚŝĚLJŽƵĮƌƐƚďĞĐŽŵĞŚŽŵĞůĞƐƐ͍
Table 11 notes the responses from the 1,732 adults who were interviewed. For example, 556 adults or 32.1% stated the City of San Bernardino.

Table 11. City First Homeless
Jurisdiction # %
Adelanto 20 1.2
Apple Valley 36 2.1
Barstow 33 1.9
Big Bear City/Sugarloaf 12 0.7
Big Bear Lake 0 0.0
Bloomington/Crestmore 14 0.8
Blue Jay 0 0.0
Cajon Canyon 0 0.0
Cedarpines Park 0 0.0
Chino 16 0.9
Chino Hills 0 0.0
Colton 46 2.7
Crestline 11 0.6
Devore 0 0.0
Fontana 107 6.2
Grand Terrace 2 0.1
Hesperia 36 2.1
Highland 27 1.6
Joshua Tree 0 0.0
Lake Arrowhead 0 0.0
Landers 0 0.0
Lenwood 0 0.0
Loma Linda 5 0.3
Lytle Creek 0 0.0
Mentone/Crafton 10 0.6
Montclair 9 0.5
Morongo Valley 3 0.2
Muscoy 0 0.0
Needles 3 0.2
Ontario 52 3.0
Phelan/Pinion Hills 0 0.0

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22 Rancho Cucamonga 30 1.7
Redlands 64 3.7
Rialto 55 3.2
Running Springs 0 0.0
San Bernardino 556 32.1
Skyforest 0 0.0
Twentynine Palms 28 1.6
Twin Peaks 4 0.2
Upland 17 1.0
Valley of Enchantment 0 0.0
Victorville 132 7.6
West Cajon Valley 0 0.0
Yermo 0 0.0
Yucaipa 12 0.7
Yucca Valley 43 2.5
Outside of San Bernardino 128 7.4
Outside of California 36 2.1
Outside of the United States 2 0.1
Unknown 183 10.5
Total: 1,732 100

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23 Sheltered Homelessness
Of the 4,195 persons counted in 2023, 1,219 persons or 29.1% were sheltered. Among the 1,219 sheltered persons, 772 were counted in shelters or received non-congregate shelter through a motel voucher and 447 were counted in transitional housing programs. HUD states that persons living in shelters and transitional housing programs (including safe haven programs) on the night of the count must be included in the homeless count.

As required by HUD, the sheltered count included the number of persons and households sleeping in emergency shelters (including seasonal shelters) and transitional housing programs that were listed on the Housing Inventory Chart (HIC). In addition, any persons staying in hotels or motels paid for by a social service agency were included in the sheltered count per HUD’s instructions if the voucher program was listed on the Homeless Inventory Count (HIC).

HUD also requires that the total number of sheltered persons be broken down by predesignated subpopulations. The total number of sheltered persons by the pre-designated subpopulations for 2023 are listed in the table on the following page.

The HIC was submitted by OHS staff to HUD by the deadline of April 28, 2023. Prior to the homeless count, the HIC was specifically undated to include any new programs or exclude any programs no longer operational by OHS staff and Key Person Task Force members. A few changes were made to the HIC prior to the count.

HUD encourages the use of HMIS data to generate sheltered counts and subpopulation data for programs with 100% of beds participating in HMIS. Therefore, HMIS was used to gather the total number of occupied beds and the number of persons for each subpopulation. A data collection instrument was used to collect the total number of occupied beds and the number of persons for each subpopulation for non-participating HMIS programs, and for HMIS participating agencies that do not have their HMIS data complete and correct. The same questions used to collect subpopulation data through HMIS were used for the data collection instrument. Thus, sheltered count data for all sheltered programs was gathered either through a data collection sheet or HMIS.

The following table provides a breakdown of the sheltered population of 1,219 adults and children by the subpopulations required by HUD.

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24 Table 12. Sheltered Population (n=1,219)
Subpopulation Number Percent
American Indian, Alaska Native, or Indigenous 36 2.95
Asian or Asian American 8 <1
Black, African American, or African 405 33.2
Chronically Homeless Families (# of families) 3 <1
Chronically Homeless Families (total persons) 7 <1
Chronically Homeless Individuals 122 10
Chronically Homeless Veteran Individuals 14 1.2
Don’t Know (Race) 11 <1
Female 629 51.6
Hispanic/Latin (a)(o)(x) 510 41.8
Households (total number) 872 71.5
Male 586 48.1
Multiple Races 68 5.6
Native Hawaiian or Pacific Islander 4 <1
Gender that is not singularly ‘Female’ or ‘Male’
(e.g., non-binary, genderfluid, agender, culturally
specific gender) 2 <1
Non-Hispanic/Latino (a)(o)(x) 709 58.1
Number of Persons in Households 1219 100
Persons Age 18-24 100 8.2
Persons Age 25-34 197 16.2
Persons Age 35-44 182 14.9
Persons Age 45-54 158 13.0
Persons Age 55-64 153 12.6
Persons Age 65 or Older 121 9.9
Persons with HIV/AIDS 39 3.2
Persons with Mental Health Problems 174 14.3
Persons with Substance Use Problems 95 7.8
Refused to Answer Race 5 <1
Refused to Answer Ethnicity 0 0
Transgender 2 <1
Unaccompanied Women 328 27.0
Veterans 28 2.3
Victims of Domestic Violence 104 8.5
White 682 56.0
Youth Under Age 18-Households w/only children 8 <1

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25 Key Findings

1. The number of adults and children counted as homeless increased by 25.9% when the 2023 point-in-time homeless count of 4,195 is compared to the 2022 point-in-time homeless count of 3,333.

2. The number of adults and children counted as unsheltered increased by 24.6% when the 2023 unsheltered count of 2,976 is compared to the 2022 unsheltered count of 2,389.

3. The number of adults and children counted as sheltered increased by 29.1% when the 2023 sheltered count of 1,219 is compared to the 2022 sheltered count of 944.

4. More than three-fourths (76.9%) or 3,226 of the 4,195 homeless adults and children were counted within seven cities that include Barstow, Colton, Fontana, Ontario, Redlands, San Bernardino, and Victorville.
a. These seven cities accounted for 2,163 or nearly three-fourths (72.7%) of the total unsheltered population of 2,976 and 1,063 or 87.2% of the 1,219 persons counted in shelters and transitional housing.

5. More than one-third (39.9%) of unsheltered adults and children counted as homeless became homeless for the first time during the 12 months prior to the homeless count.

6. Nearly one-third (32.1%) of unsheltered adults stated “City of San Bernardino” when asked in what city did you first become homeless.

7. Nearly half (44.1%) of unsheltered adults were chronically homeless, which is defined as being homeless for one year or more and having a disabling condition such as mental illness, chronic health condition, and a physical disability.

8. Nearly one-fourth (22.9%) of unsheltered adults answered “yes” when asked if they had been incarcerated during the past 12 months.

9. Nearly two-thirds (63%) of unsheltered adults answered “no income” when asked to state their monthly income.

10. More than three-fourths (77%) of unsheltered adults answered either “no income” (63%) or “less than $500” (14%) when asked to state their monthly income.

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26 Appendix A:

Findings for Each Jurisdiction With
Five Unsheltered Adults or More
(NOTE: Percentage totals for Age, Gender, Income, and Race may sum slightly more than 100% due to rounding)

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27 Adelanto
Total Number of Unsheltered Adults: 22
Of the 22 adults counted, volunteers were able to administer 13 surveys.

Demographic Information n=13
Number Percent
Age:
18 to 24 0 0.0
25 - 34 4 30.7
35 – 44 2 15.4
45 – 54 3 23.1
55 – 64 3 23.1
65+ 1 7.7
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease 0 0.0
Chronically Homeless 8 61.5
Developmental Disabilities 0 0.0
Ethnicity:

Hispanic/Latin(a)(o)(x) 3 23.1
Foster Care (ever been) 3 23.1
Gender:

Male 9 69.2
Female 4 30.8
Transgender 0 0.0
Gender Non-Conforming (i.e., not exclusively male or female) 0 0.0 Questioning 0 0.0
Unknown 0 0.0
Homeless for First Time During Past 12 Months 6 46.2
HIV/AIDS 1 7.7
Incarcerated During the Last 12 Months 2 15.4

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28 Income:

No Monthly Income 6 46.2
$1 - $250 1 7.7
$251 - $500 0 0.0
$501 - $1,000 2 15.4
More Than $1,000 0 0.0
Unknown 4 30.8
Mental Health Disability or Disorder That Seriously Limits Ability to Live Independently 5 38.5
Physical Disability That Seriously Limits Ability to Live Independently 1 7.7
Race:

American Indian, Alaska Native, or Indigenous 0 0.0
Asian or Asian American 1 7.7
Black, African American, or African 2 15.4
Native Hawaiian or Pacific Islander 0 0.0
White 8 61.5
Multiple Races 1 7.7
Unknown 1 7.7
Substance Use Problem Disability or Disorder That Seriously Limits Ability to Live Independently 9 69.2
Veteran Status: 1 7.7
Victims of Domestic Violence:

Experiencing Homelessness Due to Fleeing
Domestic Violence, Dating Violence, Sexual Assault, or Stalking 0 0.0

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29 Apple Valley
Total Number of Unsheltered Adults: 32
Of the 32 adults counted, volunteers were able to administer 25 surveys.

Demographic Information n=25
Number Percent
Age:
18 to 24 1 4.0
25 - 34 8 32.0
35 – 44 4 16.0
45 – 54 7 28.0
55 – 64 5 20.0
65+ 0 0.0
Chronic Health Condition That Is Life-Threatening Such as Heart, Lung, Liver, Kidney, or Cancerous Disease 7 28.0
Chronically Homeless 10 40.0
Developmental Disabilities 4 16.0
Ethnicity:

Hispanic/Latin(a)(o)(x) 4 16.0
Foster Care (ever been) 3 12.0
Gender:

Male 19 76.0
Female 6 24.0
Transgender 0 0.0
Gender Non-Conforming (i.e., not exclusively male or female) 0 0.0 Questioning 0 0.0
Unknown 0 0.0
Homeless for First Time During Past 12 Months 8 32.0
HIV/AIDS 0 0.0
Incarcerated During the Last 12 Months 14 56.0
Income:

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