Proposed Amendments to Riverside Homelessness Action Plan ● Page 1 Naman Sharma, Bloomberg Harvard Summer Fellow, Office of Mayor, City of Riverside Proposed Amendments to Riverside Homelessness Action Plan Effective measurement and monitoring of progress, outputs, and outcomes are essential for an action plan that aims to deliver consistent, reliable, and timely results for its community. The action plan should be strategic, comprehensive, and have clearly defined goals and targets. It should be accompanied by a robust assessment framework that objectively defines performance indicators for each target, specifies their rationale and measurement frequency, and identifies data sources, leaving no room for ambiguity.
To improve the effectiveness of Riverside Homelessness Action Plan (HAP) (adopted 10.11.22), an assessment framework, to be called Homelessness Action Plan- Assessment Framework (HAP-AF) has been developed. The assessment framework consists of 63 performance indicators divided across 8 sections. Each of the first six sections largely correspond to a goal in the HAP, in order. The seventh section has been introduced to embed the practices of data- driven decision making within the HAP and proposes to introduce a new goal- “Data Stewardship” in it. The eighth section has been introduced to establish and embed a baseline of demographic data related to homelessness in HAP.
The three-pronged approach adopted to develop the HAP-AF is as follows:
Expand: Expand the HAP by comparing it with similar action plans from other cities/counties, global homelessness preventions frameworks, case studies and best practices. “A Framework for Homelessness Prevention” by Gaetz and Dej and its updated version by Oudshoorn et al. served as the foundation of expanding the HAP.12 Their Typology of Homeless Prevention is a widely accepted model for measuring and addressing homelessness.
Figure 1: Updated Typology of Homelessness Prevention (modified)
1 Gaetz and Dej, “A New Direction: A Framework for Homelessness Prevention.” 2 Oudshoorn et al., “Evolving an Evidence‐Based Model for Homelessness Prevention.”
Proposed Amendments to Riverside Homelessness Action Plan ● Page 2 Naman Sharma, Bloomberg Harvard Summer Fellow, Office of Mayor, City of Riverside Enhance: Enhance the HAP by developing objective and measurable performance indicators for each of its targets. These indicators measure the progress, outputs, or outcomes of the targets to allow for holistic decision making. Numerous cities such as Long Beach and Seattle have published assessments frameworks for their homelessness action plans and have been successful in improving their effectiveness.34
Enable: Enable the effective implementation of HAP by embedding the practices of data-driven governance within it. This allows for active and regular monitoring of the HAP targets, its reporting (internal and external), use of data insights for decision making, and dissemination of information to the public. These practices have been adopted from Ash Center for Democratic Governance and Innovation’s Operational Framework for Enabling Data-Driven Government.5 The three core elements of this framework are-
a. Data Governance: Policies and strategies t hat explain why, when, and what data should be collected, generated, and shared.
b. Data Infrastructure: Services and operati ons for storing, processing, sharing, and publishing data.
c. Data Analytics: Processes and tools for analyzing data to generate insights for decision making.
In addition, the demographic baseline is included within HAP-AF to ensure that fundamental information is available in the same location to all decision makers. However, it does not require a separate goal to be introduced in the HAP.
Table 1: Summary of Homelessness Action Plan- Assessment Framework Riverside Homelessness Action Plan Goal
No. of
Existing
Targets
No. of Additional
Targets
Proposed
Number of
Performance
Indicators
1. Increase Housing Production with a Focus on
Affordability 6 -2 5
2. Increase the Availability and Effectiveness of
Services, with a Focus on Physical, and Mental
Health Substance Use Disorder Treatment
9 3 9
3. Prevent Homelessness 6 1 6
4. Increase Availability and Effectiveness of
Emergency Shelter and Reduce Vulnerability 4 2 4
5. Expand Public Awareness and Engagement 2 3 6
6. Coordinated Regional Infrastructure 3 1 4
7. Data Stewardship N.A. 6 14
3 “City of Long Beach Is All In on Addressing Homelessness: Data Dictionary.” 4 Azemati and Grover‐Roybal, “Shaking up the Routine: How Seattle Is Implementing Results‐Driven Contracting Practices to Improve Outcomes for People Experiencing Homelessness.” 5 Wiseman, “Lessons from Leading CDOs: A Framework for Better Civic Analytics.” Proposed Amendments to Riverside Homelessness Action Plan ● Page 3 Naman Sharma, Bloomberg Harvard Summer Fellow, Office of Mayor, City of Riverside
0. Demographic Baseline N.A. N.A. 15
Note: Proposed additions to the Homelessness Action Plan are underlined.
To include the assessment framework and its corresponding goals, the HAP should be amended as per table 2. The complete assessment framework is provided as table 3.
Table 2: Updated list of Goals and Targets of Homelessness Action Plan with proposed amendments Riverside Homelessness
Action Plan Goal Target
1. Increase Housing
Production with a Focus on
Affordability
Ensure 90% of expiring affordable housing covenants are maintained
5% increase in affordable housing units inventory
550 market rate and affordable housing units built annually 55 for-sale market rate and affordable housing units built annually 5% increase in number of sites developed from 2018 Housing First Plan
Carry out the development of 689 affordable housing units in the pipeline for development
2. Increase the Availability
and Effectiveness of
Services, with a Focus on
Physical, and Mental Health
Substance Use Disorder
Treatment
Increase number of social work interns by 15% annually
Increase in skills to reduce re-traumatized/confidence/job satisfaction among the Public Safety and Engagement Team, Parks and Neighborhood Specialist Team and Outreach Workers by 45% annually
Refer 96 individuals to "physical and behavioral health" resources annually
Decrease homelessness amongst "chronically homeless" by 5% annually
Decrease homelessness amongst those struggling with substance abuse by 5% annually
Increase the number of people who accept services from the Public Safety and Engagement Team and the street nurse by 25%
annually
Increase the number of people who are successfully placed from street outreach by 25% annually
Refer 15 individuals annually to the Home Court Program annually Care Court implementation by October 1, 2023
Proposed Amendments to Riverside Homelessness Action Plan ● Page 4 Naman Sharma, Bloomberg Harvard Summer Fellow, Office of Mayor, City of Riverside Reduce time span of service delivery at every stage
Optimize cost of services to improve effectiveness and access wider population
Provide safe environment for on-ground support workers and people experiencing homelessness
3. Prevent Homelessness
84% rental assistance programs retention rate annually
15% increase in unduplicated number of households assisted through rental assistance
Refer 75 households annually to an employment assistance program
5% annual decrease in homelessness amongst those who are justice involve
5% annual increase of seniors assisted through the Office of Homeless solutions referred to Riverside County In-Home Supportive Services (IHSS)
Enroll six individuals through the Shared Housing Program annually
Increase success rate of successful diversions to prevent homelessness
4. Increase Availability and
Effectiveness of Emergency
Shelter and Reduce
Vulnerability
Increase the number of emergency shelter beds by 25% in 2023 Increase the number of people exiting from emergency shelter to housing by 10% annually
Decrease the number of unsheltered people by 10% annually Increase the number of people accepting shelter from the Public Safety and Engagement Team and Outreach teams by 25%
annually
Optimize length of stay and number of shelter locations to serve more population
Implement Anti-Camping Ordinance to mitigate risks for people experiencing homelessness and general public
5. Expand Public Awareness
and Engagement
Annual increase of 311 calls related to homeless activities by 25%, decreasing emergency 911 calls related to homelessness
50% increase in traffic to the Office of Homeless Solutions web page annually
Encourage participation of people with lived experiences to contribute to planning and policy making
Proposed Amendments to Riverside Homelessness Action Plan ● Page 5 Naman Sharma, Bloomberg Harvard Summer Fellow, Office of Mayor, City of Riverside Increase information dissemination by leveraging all forms of communication to reach every section of community
Encourage feedback from community for present and future interventions
6. Coordinated Regional
Infrastructure
Maintain 50 Cold Weather Shelter Program beds annually
Attend 25 Continuum of Care and committee meetings annually and advocate for the increase of shelter beds, mental health programs, and affordable housing based on a gap analysis Increase number of emergency shelter beds throughout Riverside County by 10% by 2024
Mitigate uncertainty of funding to ensure sustainability of programs and services
7. Data Stewardship
Maintain 100% completeness demographic baseline of
homelessness
Maintain 100% completeness of assessment framework to ensure sound planning and policy making
Create and maintain digital infrastructure to enable data-driven decision making
Mainstream data-driven decision-making practices for routine operations and longer-term planning
Deploy emerging technologies to improve decision making Deploy digital tools for smooth and accessible engagement Note: Proposed additions to the Homelessness Action Plan are underlined.
Target Added Target Removed
Proposed Amendments to Riverside Homelessness Action Plan ● Page 6 Naman Sharma, Bloomberg Harvard Summer Fellow, Office of Mayor, City of Riverside Riverside Homelessness Action Plan- Assessment Framework Table 3: Proposed Assessment Framework
Proposed additions to the Homelessness Action Plan (HAP) are underlined.
HAP Goal
(existing)
Indicat
or No.
Performance
Indicator
Level of
Prevention
Domain of
Prevention
Corresponding
HAP Target no.
or New Target
description
Description Rationale Calculation
Method/Formula
Data Source
Department Frequency
Target
(TBD
by
OHS)
Notes
1. Increase
Housing
Production with
a Focus on
Affordability
1.01 Affordable housing
covenants Primary
Eviction
Prevention 1.1
Percentage of affordable
housing covenants were
set to expire but are
maintained in the
Assessment Period
(AP)
Affordable housing
covenants, that are set to
expire in the assessment
year, should be
maintained/renewed to
prevent eviction of tenant.
(# of affordable housing
covenants that were set to
expire but maintained in AP
/ Total # of affordable
housing covenants that
were set to expire in
AP)*100
OHS; Housing
Authority;
Service
providers Yearly
HAP target- Ensure 90%
of expiring affordable
housing covenants are
maintained
1.02 Affordable housing
inventory over
time Primary
Structural
Prevention 1.2
Relative change in
affordable housing units
inventory
Adequate number of
affordable housing units
(rental or for-sale) should
be available in the market
at any given time.
(# of affordable housing
units in the inventory in AP /
# of affordable housing units
in the inventory in previous
AP - 1)*100
Housing
Authority Yearly
HAP target- 5% increase
in affordable housing units
inventory
1.03 Affordable housing
demand-supply
gap- rental Primary
Structural
Prevention 1.3
Difference in demand
and supply of affordable
housing units for rent
The demand-supply gap
for rental affordable
housing should be reduced
to provide adequate
options for anyone looking
to rent an house.
# of rental affordable
housing units required to be
built in AP - # of rental
affordable housing units
built in AP
Housing
Authority Yearly
HAP target- 550 market
rate and affordable
housing units built
annually
1.04 Affordable housing
demand-supply
gap- for sale Primary
Structural
Prevention 1.3
Difference in demand
and supply of affordable
housing units for sale
The demand-supply gap
for rental affordable
housing should be reduced
to provide adequate
options for anyone looking
to buy a house.
# of for-sale affordable
housing units required to be
built in AP - # of for-sale
affordable housing units
built in AP
Housing
Authority Yearly
HAP target- 550 market
rate and affordable
housing units built
annually
1.05 Housing First sites Secondary
Housing
Stability 1.5
Relative change in
Housing First sites
Housing First strategy is
essential to promote a low-
barrier-to-entry approach
for individuals who are
already experiencing
homelessness.
(# of Housing First sites
developed in AP / # of
Housing First Sites
developed in previous AP -
1)*100
Housing
Authority Yearly
HAP target- 5% increase
in number of sites
developed from 2018
Housing First Plan
2. Increase the
Availability and
Effectiveness of
Services, with a 2.01
Availability of
social work interns Secondary
Early
Intervention 2.1
Relative change in the
number of social work
interns
Social workers are a
keystone in the support
system of a city to address
homelessness.
(# of social work interns
available in the AP / # of
social work interns available
in previous AP - 1)*100
OHS; Human
Resources Yearly
HAP target- Increase
number of social work
interns by 15% annually
Proposed Amendments to Riverside Homelessness Action Plan ● Page 7 Naman Sharma, Bloomberg Harvard Summer Fellow, Office of Mayor, City of Riverside HAP Goal
(existing)
Indicat
or No.
Performance
Indicator
Level of
Prevention
Domain of
Prevention
Corresponding
HAP Target no.
or New Target
description
Description Rationale Calculation
Method/Formula
Data Source
Department Frequency
Target
(TBD
by
OHS)
Notes
Focus on
Physical, and
Mental Health
Substance Use
Disorder
Treatment
2.02 Skill development
of support teams Primary
Structural
Prevention 2.2
Relative change in the
number of skill
development activities
organized for PSET,
Parks and Neighborhood
Specialist Team and
Outreach Workers
Regular skill development
of every staff member
supporting homelessness
services and programs is
required for improving
efficiency, communication,
and smooth adoption of
best practices.
(# of skill development
activities organized for
PSET, Parks and
Neighborhood Specialist
Team and Outreach
Workers in the AP / # of skill
development activities
organized for PSET, Parks
and Neighborhood
Specialist Team and
Outreach Workers in
previous AP - 1)*100
OHS; Human
Resources Yearly
HAP target- Increase in
skills to reduce re-
traumatized/confidence/jo
b satisfaction among the
Public Safety and
Engagement Team, Parks
and Neighborhood
Specialist Team and
Outreach Workers by 45%
annually
2.03 Healthcare service
delivery Tertiary
Housing
Stability 2.3
Relative change in
number of people
experiencing homeless
that were referred to
'physical and behavioral
health' resources
People experiencing
homelessness are often in
the urgent need of health
care services. Therefore,
referrals to physical and
behavioral health care
should be prioritized.
(# of people experiencing
homelessness referred to
'physical and behavioral
health' resources in the AP /
# of people experiencing
homelessness referred to
'physical and behavioral
health' resources in
previous AP - 1)*100 OHS Monthly
HAP target- Refer 96
individuals to "physical
and behavioral health"
resources annually
2.04 Acceptance of
services from
PSET and street
nurse Tertiary
Early
Intervention 2.6
Relative change in the
number of people
experiencing
homelessness that
accept services from
PSET and street nurse
Measuring the number of
people accepting services
from PSET and street
nurses allows to determine
the effective of service
delivery.
(# of people experiencing
homelessness who
accepted services from
PSET or street nurse in the
AP / # of people
experiencing homelessness
who accepted services from
PSET or street nurse in
previous AP - 1)*100
PSET; Street
Nurse Monthly
HAP target- Increase the
number of people who
accept services from the
Public Safety and
Engagement Team and
the street nurse by 25%
annually
2.05 Effectiveness of
street outreach Tertiary
Early
Intervention 2.7
Relative change in the
number of people
experiencing
homelessness that were
placed from street
outreach
Measuring the number of
people experiencing
homelessness who are
placed from street
outreach is required to
determine its effectiveness.
(# of people experiencing
homelessness who were
placed from street outreach
in the AP / # of people
experiencing homelessness
who were placed from street
outreach in previous AP -
1)*100 OHS Monthly
HAP target- Increase the
number of people who are
successfully placed from
street outreach by 25%
annually
2.06 Referral to Home
Court Program Tertiary
Housing
Stability 2.8
Relative change in the
number of people
referred to Home Court
Program
Home Court care referrals
are necessary to identify
magnitude of future risk
from housing instability.
(# of people referred to
Home Court Program in the
AP / # of people referred to
Home Court Program in
previous AP - 1)*100 OHS Monthly
HAP target- Refer 15
individuals annually to the
Home Court Program
annually
2.07 Timeliness of
service delivery Secondary
Early
Intervention
Reduce time
span of service
delivery at every
stage
Average number of days
between- coordinated
entry and assessment,
assessment and referral,
referral and placement
Monitoring average time of
support at different stages
of service delivery is critical
for the effectiveness and
success of coordinated
entry system.
Average # of days between
coordinated entry and
assessment
Average # of days between
assessment and referral
Average # of days between
referral and placement CES Monthly
Harvard Kennedy School
Government Performance
Lab. “Outcome and
Process Metrics
Recommendations
Developed for Seattle’s
Homeless Services
Contracts.”
Proposed Amendments to Riverside Homelessness Action Plan ● Page 8 Naman Sharma, Bloomberg Harvard Summer Fellow, Office of Mayor, City of Riverside HAP Goal
(existing)
Indicat
or No.
Performance
Indicator
Level of
Prevention
Domain of
Prevention
Corresponding
HAP Target no.
or New Target
description
Description Rationale Calculation
Method/Formula
Data Source
Department Frequency
Target
(TBD
by
OHS)
Notes
2.08 Cost-effectiveness Secondary
Systems
Prevention
Optimize cost of
services to
improve
effectiveness
and access
wider population
Per capita cost of each
service and assistance
program
Cost of each service and
assistance program should
be optimized for sound
budget planning.
Individual cost of each
service provided in the AP /
No. of individuals served in
that AP
OHS; Housing
Authority;
Finance Quarterly
Harvard Kennedy School
Government Performance
Lab. “Outcome and
Process Metrics
Recommendations
Developed for Seattle’s
Homeless Services
Contracts.”
2.09 Safety at service
locations Secondary
Systems
Prevention
Provide safe
environment for
on-ground
support workers
and people
experiencing
homelessness
Number of criminal
incidents at service
locations
Safe environment at
service locations is
essential for on-ground
workers to comfortably
provide assistance to
people experiencing
homelessness.
Total # of incidents of
vandalism, theft, robbery,
burglary, or any other
criminal offence at the
service locations in the AP RPD Monthly
Need for safety at service
locations was identified
during stakeholder
interviews.
3. Prevent
Homelessness
3.01 Retention of rental
assistance Secondary
Eviction
Prevention 3.1
Rate of retaining rental
assistance programs
Rental assistance is
fundamental to enable
eligible households to take
care of their basic needs
and prevent them from
entering homelessness.
(# of households that
retained their rental
assistance in the AP / # of
households that received
rental assistance in the
previous AP)*100
Housing
Authority Monthly
HAP target- 84% rental
assistance programs
retention rate annually
3.02 New households
served Secondary
Eviction
Prevention 3.2
Relative increase in
number of households
assisted through rental
assistance for the first
time
Rental assistance is
fundamental to enable
eligible households to take
care of their basic needs
and prevent them from
entering homelessness.
(# of households that
received rental assistance
for the first time in the AP /
# of households that
received rental assistance
for the first time in previous
AP - 1)*100
Housing
Authority Monthly
HAP target- 15% increase
in unduplicated number of
households assisted
through rental assistance
3.03 Referral to
employment
assistance Secondary
Housing
Stability 3.3
Relative change in
number of people
referred to employment
assistance programs
Employment assistance to
eligible population is
required to support their
livelihood and prevent
homelessness.
(# of people referred to
employment assistance
programs in the AP / # of
people referred to
employment assistance
programs in previous AP -
1)*100
OHS;
Community
and Economic
Development Monthly
HAP target- Refer 75
households annually to an
employment assistance
program
3.04 Referral to
Riverside County
In-Home
Supportive
Services (IHSS)
for seniors Secondary
Eviction
Prevention 3.5
Relative change in the
number of seniors
referred to Riverside
County IHSS through
OHS
Seniors are at higher risk
of entering homelessness
and therefore, need to be
prioritized in assistance
programs.
(# of seniors referred to
Riverside County IHSS
through OHS in the AP / #
of seniors referred to
Riverside County IHSS
through OHS in previous AP
-1)*100
OHS;
Riverside
County Monthly
HAP target- 5% annual
increase of seniors
assisted through the
Office of Homeless
solutions referred to
Riverside County In-Home
Supportive Services
(IHSS)
3.05 Enrolment in
shared housing
program Secondary
Eviction
Prevention 3.6
Relative change in
number of individuals
enrolled through shared
housing program
Shared housing programs
are highly supportive for
people with low-income.
(# of individuals enrolled
through shared housing
program in the AP / # of
individuals enrolled through
shared housing program in
previous AP - 1)*100
Housing
Authority Monthly
HAP target- Enroll six
individuals through the
Shared Housing Program
annually
Proposed Amendments to Riverside Homelessness Action Plan ● Page 9 Naman Sharma, Bloomberg Harvard Summer Fellow, Office of Mayor, City of Riverside HAP Goal
(existing)
Indicat
or No.
Performance
Indicator
Level of
Prevention
Domain of
Prevention
Corresponding
HAP Target no.
or New Target
description
Description Rationale Calculation
Method/Formula
Data Source
Department Frequency
Target
(TBD
by
OHS)
Notes
3.06 Successful
homelessness
diversion Secondary
Eviction
Prevention
Increase
success rate of
successful
diversions to
prevent
homelessness
Percentage of
households who
received assistance and
support services and
successfully diverted
from homelessness
Diverting homelessness is
one of the fundamental
strategies of preventing
homelessness and has
long-lasting impact.
(# of households who
received assistance or
support services and
successfully diverted from
homelessness in the AP /
Total # of households who
received assistance or
support services and
successfully diverted from
homelessness in the
AP)*100
HMIS; Service
providers Monthly
Harvard Kennedy School
Government Performance
Lab. “Outcome and
Process Metrics
Recommendations
Developed for Seattle’s
Homeless Services
Contracts.”
4. Increase
Availability and
Effectiveness of
Emergency
Shelter and
Reduce
Vulnerability
4.01 Availability of
emergency shelter Secondary
Early
Intervention 4.1
Relative change in the
number of emergency
shelter
Emergency shelters are
the backbone of early
intervention and provide
quick support to people in
urgent need.
(# of emergency shelters
available in the AP / # of
emergency shelters
available in previous AP -
1)*100
HMIS; Service
providers Monthly
HAP target- Increase the
number of emergency
shelter beds by 25% in
2023
4.02 Acceptance of
emergency shelter Secondary
Early
Intervention 4.4
Relative change in the
number of people
experiencing
homelessness who
accepted shelter from
PSET and outreach
team
Measuring number of
people experiencing
homelessness and
accepting shelter from
PSET and outreach team
helps identify their
effectiveness.
(# of people experiencing
homelessness who
accepted shelter from PSET
or outreach team in the AP /
# of people experiencing
homelessness who
accepted shelter from PSET
or outreach team in
previous AP - 1)*100 PSET; OHS Monthly
HAP target- Increase the
number of people
accepting shelter from the
Public Safety and
Engagement Team and
Outreach teams by 25%
annually
4.03 Length of stay Secondary
Systems
Prevention
Optimize length
of stay and
number of
shelter locations
to serve more
population
Average and median
length of stay in shelter
The length of stay at
shelters should be
optimized to serve more
number of people
experiencing
homelessness.
Average length of stay
(days) in emergency shelter
Median length of stay (days)
in emergency shelter
HMIS; Service
providers Monthly
San Diego Housing
Commission. “Homeless
Service and Programs
Dashboard.”
Harvard Kennedy School
Government Performance
Lab. “Outcome and
Process Metrics
Recommendations
Developed for Seattle’s
Homeless Services
Contracts.”
4.04 Removal of
encampments Secondary
Early
Intervention
Implement Anti-
Camping
Ordinance to
mitigate risks for
people
experiencing
homelessness
and general
public
Percentage of
encampments removed
Removing encampments is
essential to ensure safe
environment and mitigate
risks for people
experiencing
homelessness as well as
general public
(# of encampments
removed during the AP /
Total # of encampments
identified and notified in the
AP)*100
PSET; Fire
Department Monthly
Need for actively
measuring the
implementation of anti-
camping ordinance was
identified during
stakeholder interviews.
Proposed Amendments to Riverside Homelessness Action Plan ● Page 10 Naman Sharma, Bloomberg Harvard Summer Fellow, Office of Mayor, City of Riverside HAP Goal
(existing)
Indicat
or No.
Performance
Indicator
Level of
Prevention
Domain of
Prevention
Corresponding
HAP Target no.
or New Target
description
Description Rationale Calculation
Method/Formula
Data Source
Department Frequency
Target
(TBD
by
OHS)
Notes
5. Expand Public
Awareness and
Engagement
5.01 Utilization of 311 Secondary
Systems
Prevention 5.1
Relative change in
number of calls related
to homeless activities on
311
People should be
encouraged to report
homelessness related
issues on 311.
(# of homelessness related
calls received at 311 in the
AP / # of homelessness
related calls received at 311
in previous AP - 1)*100 311 Monthly
HAP target- Annual
increase of 311 calls
related to homeless
activities by 25%,
decreasing emergency
911 calls related to
homelessness
5.02 Utilization of 911 Secondary
Systems
Prevention 5.1
Relative change in
number of calls related
to homeless activities on
911
People should be
discouraged to report non-
emergency homelessness
related issues on 911.
(# of homelessness related
calls received ay 911 in the
AP / # of homelessness
related calls received by
911 in previous AP - 1)*100 911 Monthly
HAP target- Annual
increase of 311 calls
related to homeless
activities by 25%,
decreasing emergency
911 calls related to
homelessness
5.03 First Voice in
community and
stakeholder
meetings Tertiary
Empowerm
ent
Encourage
participation of
people with lived
experiences to
contribute to
planning and
policy making
Number of community
and stakeholder
meetings that included
First Voice
People having lived
experiences should have a
first say in planning and
policy making activities
related to homelessness.
(# of community or
stakeholder meetings
conducted in the AP that
included someone with lived
experiences of
homelessness to share their
'First Voice' OHS Monthly
Gaetz and Dej, “A New
Direction: A Framework for
Homelessness
Prevention.”
5.04 Information
dissemination to
community and
stakeholders Primary
Empowerm
ent
Increase
information
dissemination by
leveraging all
forms of
communication
to reach every
section of
community
Number and volume of
communication tools
used to disseminate
information to the
community and
stakeholders-
newsletters, social
media posts, press
reporting, flyers on
digital notice boards,
flyers on physical notice
boards, others.
All forms of
communications should be
leveraged to reach every
section of community to
disseminate information
and build public trust.
# of homeless activities
related newsletters sent by
email to community and
stakeholders in the AP
# of homeless activities
related social media posts
shared with community and
stakeholders in the AP
# of homeless activities
related news reporting
covered by the press in the
AP
# of homeless activities
related flyers published on
digital notice boards
(including website) in the
AP
# of homeless activities
related flyers printed and
posted on physical notice
boards across the city in the
AP
Office of
Communicatio
ns; Public
Information
Officers Monthly
Need for actively
measuring the usage and
reach of various modes of
communication was
identified during
stakeholder interviews.
Proposed Amendments to Riverside Homelessness Action Plan ● Page 11 Naman Sharma, Bloomberg Harvard Summer Fellow, Office of Mayor, City of Riverside HAP Goal
(existing)
Indicat
or No.
Performance
Indicator
Level of
Prevention
Domain of
Prevention
Corresponding
HAP Target no.
or New Target
description
Description Rationale Calculation
Method/Formula
Data Source
Department Frequency
Target
(TBD
by
OHS)
Notes
5.05 Footfall on OHS
website Primary
Empowerm
ent 5.2
Relative change in the
footfall on OHS website
People should be
encouraged to visit OHS
website for getting up-to-
date information related to
city's efforts in addressing
homelessness.
(# of visitors on the OHS
website in the AP / # of
visitors on the OHS website
in previous AP - 1)*100
Office of
Communicatio
ns Monthly
HAP target- 50% increase
in traffic to the Office of
Homeless Solutions web
page annually.
5.06 Feedback from
community and
stakeholders Tertiary
Empowerm
ent
Encourage
feedback from
community for
present and
future
interventions
Number of feedback
comments received from
community
Providing a dedicated
space for community to
provide feedback is
essential to hear their
voices and build public
trust.
# of feedback comments
from community received on
the dedicated feedback
page of OHS in the AP OHS Monthly
Need for actively
measuring community
feedback was identified
during stakeholder
interviews.
6. Coordinated
Regional
Infrastructure
6.01 Cold weather
shelter beds Secondary
Early
Intervention 6.1
Number of cold weather
shelter beds
Number of cold weather
shelter beds should
correspond to the demand
to avoid weather-related
risks for people
experiencing
homelessness.
# of cold weather shelter
beds maintained in the AP OHS Yearly
HAP target- Maintain 50
Cold Weather Shelter
Program beds annually.
6.02 Advocacy and
support building Primary
Structural
Prevention 6.2
Number of Continuum of
Care meetings attended
by the city staff
Active participation in
Continuum of Care
meetings is essential to
engage a wider spectrum
of stakeholders and
partners.
# of Continuum of Care
meetings attended by the
city staff in the AP
Housing
Authority Yearly
HAP target- Attend 25
Continuum of Care and
committee meetings
annually and advocate for
the increase of shelter
beds, mental health
programs, and affordable
housing based on a gap
analysis.
6.03 County-wide
shelter beds Secondary
Early
Intervention 6.3
Relative change in
number of emergency
shelter beds across the
county
Increase in emergency
shelters across the county
allows people experiencing
homelessness to access
more resources, beyond
the jurisdiction of city.
(# of emergency shelter
beds available in the county
in the AP / # of emergency
shelter beds available in the
county in previous AP -
1)*100
Housing
Authority Yearly
HAP target- Increase
number of emergency
shelter beds throughout
Riverside County by 10%
by 2024.
6.04 Sustainability of
funding Secondary
Systems
Prevention
Mitigate
uncertainty of
funding to
ensure
sustainability of
programs and
services
Percentage of funding
amount that will be
renewed in the
upcoming AP
Identifying renewal of
funding sources helps in
mitigating uncertainty in
funding for the future
activities and builds
resilience.
(Total amount of funding
that will be renewed in the
upcoming AP / Total
amount of funding in the
current AP - 1)*100
OHS; Housing
Authority;
Finance Quarterly
Need for measuring the
uncertainty of funding was
identified during
stakeholder interviews.
7. Data
Stewardship
7.01 Completeness of
demographic
baseline Primary
Structural
Prevention
Maintain 100%
completeness
demographic
baseline of
homelessness
Percentage of
demographic baseline
indicators for which data
were updated in the AP
Completeness of
demographic baseline data
serves as the foundation to
the HAP, and allows
interventions to respond to
the size and nature of the
problem proactively.
(# of demographic baseline
indicators for which data
were updated in the AP /
Total # of demographic
baseline indicators)*100
Chief Data
Officer Monthly
Smart Cities Mission,
Ministry of Housing and
Urban Affairs, Government
of India. “Data Maturity
Assessment Framework.”
“What Works Cities
Certification: Assessment.”
Proposed Amendments to Riverside Homelessness Action Plan ● Page 12 Naman Sharma, Bloomberg Harvard Summer Fellow, Office of Mayor, City of Riverside HAP Goal
(existing)
Indicat
or No.
Performance
Indicator
Level of
Prevention
Domain of
Prevention
Corresponding
HAP Target no.
or New Target
description
Description Rationale Calculation
Method/Formula
Data Source
Department Frequency
Target
(TBD
by
OHS)
Notes
7.02 Completeness of
Homelessness
Action Plan
indicators Primary
Systems
Prevention
Maintain 100%
completeness of
assessment
framework to
ensure sound
planning and
policy making
Percentage of Plan
indicators for which data
were updated in the AP
Completeness of HAP
indicators demonstrates
the commitment to targets
and thorough monitoring
and evaluation.
(# of HAP indicators for
which data were updated in
the AP / Total # of HAP
indicators)*100
Chief Data
Officer Monthly
This indicator can be
further split for each goal
for close monitoring.Smart
Cities Mission, Ministry of
Housing and Urban
Affairs, Government of
India. “Data Maturity
Assessment Framework.”
“What Works Cities
Certification: Assessment.”
7.03 Common data
repository Primary
Systems
Prevention
Create and
maintain digital
infrastructure to
enable data-
driven decision
making
Percentage of
homelessness related
datasets stored in
common data repository
A common data repository
(such as data warehouse
and data lake) is a key for
standardized and high-
quality data.
(# of datasets related to
homeless activities stored in
common data repository in
the AP / Total # of datasets
related to homeless
activities stored in the AP -
1)*100
Chief Data
Officer Monthly
Smart Cities Mission,
Ministry of Housing and
Urban Affairs, Government
of India. “Data Maturity
Assessment Framework.”
7.04 Data sharing with
external
stakeholders Primary
Systems
Prevention
Average number of
datasets shared for each
category of external
stakeholders who
provide homeless
support- non-profits,
faith-based institutions,
academic institutions,
local business
External stakeholders
independently store high-
quality data that may be
valuable for decision
making.
# of datasets shared by
non-profits in the AP / count
of non-profits during the AP
# of datasets shared by
faith-based institutions in
the AP / count of faith-
based institutions during the
AP
# of datasets shared by
academic institutions in the
AP / count of academic
institutions during the AP
# of datasets shared by
local businesses in the AP /
count of local businesses
during the AP
Chief Data
Officer Monthly
Requires data sharing
agreement with external
stakeholders.Stakeholders
involved in any homeless
related activity should only
be considered.Smart
Cities Mission, Ministry of
Housing and Urban
Affairs, Government of
India. “Data Maturity
Assessment Framework.”
“What Works Cities
Certification: Assessment.”
7.05 Open data Primary
Empowerm
ent
Number of homeless
related open data sets
available via OHS
website
availability of open data via
the OHS website is key to
invite public to engage with
data and support city with
their capacity.
# of homeless related open
datasets available to public
via OHS website in the AP
Chief Data
Officer Monthly
“What Works Cities
Certification: Assessment.”
7.1 Data relevance Primary
Systems
Prevention
Number of times data is
updated on dashboards-
internal, public facing
Up to date data is essential
for effective decision
making and public trust.
# of times data is updated
on internal dashboard in the
AP
# of times data is updated
on the pubic facing
dashboard in the AP
Chief Data
Officer Monthly
Smart Cities Mission,
Ministry of Housing and
Urban Affairs, Government
of India. “Data Maturity
Assessment Framework.”
“What Works Cities
Certification: Assessment.”
Proposed Amendments to Riverside Homelessness Action Plan ● Page 13 Naman Sharma, Bloomberg Harvard Summer Fellow, Office of Mayor, City of Riverside HAP Goal
(existing)
Indicat
or No.
Performance
Indicator
Level of
Prevention
Domain of
Prevention
Corresponding
HAP Target no.
or New Target
description
Description Rationale Calculation
Method/Formula
Data Source
Department Frequency
Target
(TBD
by
OHS)
Notes
7.06 Data downloads Primary
Empowerm
ent
Number of data
downloads from the
public facing dashboards
Downloads of publicly
available data should be
encouraged for open
innovation and
decentralized capacity.
# of data downloads of open
data in the AP
Chief Data
Officer Monthly
Smart Cities Mission,
Ministry of Housing and
Urban Affairs, Government
of India. “Data Maturity
Assessment Framework.”
“What Works Cities
Certification: Assessment.”
7.07 Data for
storytelling Primary
Empowerm
ent
Mainstream
data-driven
decision making
practices for
routine
operations and
longer-term
planning
Number of data stories
published on OHS
website
Use of data insights and
visualizations should be
encouraged for storytelling
on OHS website
# of new data stories
published on OHS website
in the AP
Office of
Communicatio
ns Monthly
Smart Cities Mission,
Ministry of Housing and
Urban Affairs, Government
of India. “Data Maturity
Assessment Framework.”
“What Works Cities
Certification: Assessment.”
7.08 Data-driven
decision making Primary
Systems
Prevention
Number of city staff
meetings and workshops
that utilize data insights
for strategic thinking and
decision making
City staff should actively
utilize data analysis and
visualizations during their
meetings and workshops
for identifying red flags,
anticipate future risks, and
approach to targets.
# of meetings or workshops
conducted by city staff in
the AP where data analysis
and visualizations are used
for discussion,
brainstorming, strategic
thinking and decision
making OHS Monthly
“What Works Cities
Certification: Assessment.”
7.09 Data reporting Primary
Systems
Prevention
Number of times reports
are generated from data
dashboard for use by
city staff
City staff should be
encouraged to utilize data
insights and reports from
data dashboards to inform
their routine operations
and longer-term planning.
# of reports that are
generated by city staff from
the internal dashboard in
the AP
Chief Data
Officer Monthly
Internal dashboard will
contain the data for all
indicators in this
assessment framework.
“What Works Cities
Certification: Assessment.”
7.11 Geo-spatial data Primary
Systems
Prevention
Deploy
emerging
technologies to
improve
decision making
Number of geospatial
data visualizations
published on
dashboards- internal,
public facing
Geospatial data and GIS
analytics is a major value
addition for deriving
localized insights from
data.
# of geospatial
visualizations published on
internal dashboards in the
AP
# of geospatial
visualizations published on
public facing dashboards in
the AP
Chief Data
Officer; Office
of
Communicatio
ns Monthly
Mahesh Kelkar et al.,
“Addressing
Homelessness with Data
Analytics.”
“What Works Cities
Certification: Assessment.”
7.12 Predictive analysis Primary
Structural
Prevention
Number of predictive
analytics techniques
used
Predictive analytics is
essential for risk modelling
that allows identification of
at-risk population and their
level of vulnerability for
proactive planning and
preventing homelessness.
# of predictive analytics
techniques or tools (such as
VI-SPDAT) used in the AP
Chief Data
Officer Monthly
Mahesh Kelkar et al.,
“Addressing
Homelessness with Data
Analytics.”“What Works
Cities Certification:
Assessment.”
Proposed Amendments to Riverside Homelessness Action Plan ● Page 14 Naman Sharma, Bloomberg Harvard Summer Fellow, Office of Mayor, City of Riverside HAP Goal
(existing)
Indicat
or No.
Performance
Indicator
Level of
Prevention
Domain of
Prevention
Corresponding
HAP Target no.
or New Target
description
Description Rationale Calculation
Method/Formula
Data Source
Department Frequency
Target
(TBD
by
OHS)
Notes
7.13 Enabling peer-to-
peer support Secondary
Early
Intervention
Deploy digital
tools for smooth
and accessible
engagement
Number of peer support
requests- raised and
addressed
Peer-to-peer support
enables the wider support
ecosystem, including
community members, to
identify people in need and
provide timely help when
needed.
# of support requests raised
on the peer-to-peer platform
in the AP
# of support requests
addressed by peers and
marked closed in the peer-
to-peer platform in the AP
Chief Data
Officer Monthly
This requires city to create
a peer-to-peer platform
(website or mobile app) to
connect community
resources with those in
need.
Mahesh Kelkar et al.,
“Addressing
Homelessness with Data
Analytics.”
7.14 Digital tools for on-
ground support
workers Secondary
Early
Intervention
Percentage of on-ground
support workers
equipped with digital
tools
Digital tools are essential
for timely collection of high-
quality and standardized
data, thereby expediting
problem solving and
decision making.
(# of on-ground support
workers equipped with
digital tools for capturing
homeless activities related
data in the AP / Total # of
on-ground support workers
involved in homeless
activities - 1)*100
Chief Data
Officer; OHS Monthly
This requires deployment
of new digital tools (such
as mobile devices with
data collection/reporting
applications) by the city.
Mahesh Kelkar et al.,
“Addressing
Homelessness with Data
Analytics.”
Demographic Baseline
The demographic baseline captures the magnitude and nature of the homelessness situation in the city. It is embedded within the proposed assessment framework and therefore, the Homelessness Action Plan, to serve as a common baseline for all stakeholders and policy actors involved with addressing homelessness. However, a new goal for it is not being proposed in the HAP. Rather the status of its completeness will be captured in the proposed Goal 7, target 01.
Indicator
No.
Performance
Indicator
Level of
Prevention
Domain of
Prevention
Corresponding
HAP Target no.
or New Target
description
Description Rationale Calculation Method/Formula Data Source Department Frequency
Target
(TBD
by
OHS)
Notes
0.01 People
experiencing
homelessness Secondary
Early
Intervention
Establish
complete and
reliable
demographic
baseline*
Number of people
experiencing
homelessness in the
assessment month
(AP)- already
homeless, first-time,
returning to
homelessness, total
Measuring the number of
people experiencing
homelessness at any given
time is imperative to
proactive planning.
# of people who were already
experiencing homelessness before the AP
# of people who entered homelessness for
the first-time during the AP
# of people who returned to homelessness
in the AP
Total of above categories OHS Monthly
Bethany Snyder, “Yes,
There’s a Better Way to
Measure Homelessness
than the Annual Point-in-
Time Count.” County of
Los Angeles- Homeless
Initiative. “Functional
Zero.”
Proposed Amendments to Riverside Homelessness Action Plan ● Page 15 Naman Sharma, Bloomberg Harvard Summer Fellow, Office of Mayor, City of Riverside
0.02 People exiting
homelessness Secondary
Early
Intervention
4.2; Establish
complete and
reliable
demographic
baseline*
Number of people who
were active homeless
but exited during the
AP- exited to
transitional housing,
permanent housing,
reunified with family,
left the city, deceased
or disappeared, total
Measuring the number of
people exiting
homelessness at any given
time is equally essential to
accurately measure the
number of people
experiencing active
homelessness.
# of people experiencing active
homelessness who excited to transitional
housing in the AP
# of people experiencing active
homelessness who excited to permanent
housing in the AP
# of people experiencing active
homelessness who were reunified with
their family in the AP
# of people experiencing homelessness
who left the city in the AP
# of people experiencing homelessness
who were deceased or disappeared from
in the AP
Total of above categories OHS Monthly
HAP target- Increase the
number of people exiting
from emergency shelter
to housing by 10%
annually.
Community Solutions.
“Functional Zero: A
Definition for Ending
Homelessness for a
Population.”
0.03 Functional Zero Secondary
Early
Intervention
4.3; Establish
complete and
reliable
demographic
baseline*
Difference in the
number of people
experiencing active
homelessness and the
number of people
exiting homelessness
to get into stable
permanent housing
Functional Zero is a
dynamic milestone that
describes the capacity of
city to tackle active
homelessness at any given
time and ensure positive
outcomes.
# of people experiencing active
homelessness in AP - # of people exiting
active homelessness to get into stable
permanent housing OHS Monthly
HAP target- Decrease the
number of unsheltered
people by 10% annually
Community Solutions.
“Functional Zero: A
Definition for Ending
Homelessness for a
Population.”
0.04 Chronic
homelessness Secondary
Early
Intervention
2.4; Establish
complete and
reliable
demographic
baseline*
Relative change in
number of people
experiencing chronic
homelessness
Chronic homelessness (as
defined by HUD) should be
prioritized to determine
people at imminent risk.
(# of people experiencing chronic
homelessness in AP / # of people
experiencing chronic homelessness in
previous AP -1)*100 OHS Monthly
HAP target- Decrease
homelessness amongst
"chronically homeless" by
5% annually
“City of Long Beach Is All
In on Addressing
Homelessness: Data
Dictionary.”
HUD Exchange.
“Definition of Chronic
Homelessness.”
0.05 Homelessness
and substance
abuse Secondary
Early
Intervention
2.5; Establish
complete and
reliable
demographic
baseline*
Relative change in the
number of people
experiencing
homelessness and
substance abuse
Substance abuse and
homelessness are highly
correlated and therefore,
need to be identified on
priority basis.
(# of people experiencing homelessness
and substance abuse in AP / # of people
experiencing chronic homelessness and
substance abuse in previous AP -1)*100 OHS Monthly
HAP target- Decrease
homelessness amongst
those struggling with
substance abuse by 5%
annually
0.06 Incidence of
homelessness-
eviction from
permanent
housing Secondary
Systems
Prevention
Establish
complete and
reliable
demographic
baseline*
Rate of people entering
homelessness directly
after getting evicted
from housing
Incidence of homelessness
from eviction from
permanent housing
(# of people who entered homelessness
directly after eviction / # of people evicted
from housing in AP)*100 OHS Monthly
Gaetz and Dej, “A New
Direction: A Framework
for Homelessness
Prevention.” Margot
Kushel et al., “Toward a
New Understanding: The
California Statewide
Stud
y of People
Proposed Amendments to Riverside Homelessness Action Plan ● Page 16 Naman Sharma, Bloomberg Harvard Summer Fellow, Office of Mayor, City of Riverside Experiencing
Homelessness.”
0.07 Incidence of
homelessness-
discharge from
mental health
care Secondary
Systems
Prevention
Rate of people entering
homelessness directly
after discharge from
mental health care
Incidence of homelessness
from discharge from
mental health care should
be minimized by facilitating
effective transitions in
coordination with the public
institutions.
(# of people who entered homelessness
directly after discharge from mental health
care / # of people discharged from mental
health care in AP)*100 OHS Monthly
Gaetz and Dej, “A New
Direction: A Framework
for Homelessness
Prevention.”
Margot Kushel et al.,
“Toward a New
Understanding: The
California Statewide
Study of People
Experiencing
Homelessness.”
0.08 Incidence of
homelessness-
foster care Secondary
Systems
Prevention
Rate of people entering
homelessness directly
after discharge from
foster care
Incidence of homelessness
from discharge from foster
care should be minimized
to reduce youth
homelessness.
(# of people who entered homelessness
directly after discharge from foster care / #
of people discharged from foster care in
AP)*100 OHS Monthly
Gaetz and Dej, “A New
Direction: A Framework
for Homelessness
Prevention.”
Margot Kushel et al.,
“Toward a New
Understanding: The
California Statewide
Study of People
Experiencing
Homelessness.”
0.09 Incidence of
homelessness-
prison Secondary
Systems
Prevention
3.4; Establish
complete and
reliable
demographic
baseline*
Rate of people entering
homelessness directly
after discharge from jail
or prison
Incidence of homelessness
from discharge from jail or
prison should be
minimized by coordinating
with justice authorities for
effective transitions.
(# of people who entered homelessness
directly after discharge from prison / # of
people discharged from prison in AP)*100 OHS Monthly
Gaetz and Dej, “A New
Direction: A Framework
for Homelessness
Prevention.”
Margot Kushel et al.,
“Toward a New
Understanding: The
California Statewide
Study of People
Experiencing
Homelessness.”
0.10 Incidence of
homelessness-
return from
transitional
housing Secondary
Systems
Prevention
Establish
complete and
reliable
demographic
baseline* Rate of people
returning to
homelessness within 6
months of exiting
transitional housing
Return to homelessness
from transitional housing
should be avoided by
enhancing support
services.
(# of people who returned to
homelessness in the AP within 6 months
of exiting transitional housing / Total # of
people who exited transitional housing in
last 6 months)*100 OHS Monthly
This indicator can also be
replicated to measure
rate of incidence from last
12 months. Azemati and
Grover-Roybal, “Shaking
up the Routine: How
Seattle Is Implementing
Results-Driven
Contracting Practices to
Improve Outcomes for
People Experiencing
Homelessness.”
Proposed Amendments to Riverside Homelessness Action Plan ● Page 17 Naman Sharma, Bloomberg Harvard Summer Fellow, Office of Mayor, City of Riverside
0.11 Incidence of
homelessness-
return from
permanent
housing Secondary
Systems
Prevention
Rate of people
returning to
homelessness within 6
months of permanent
housing
Return to homelessness
from permanent housing
should be avoided by
enhancing support
services and rental
assistance.
(# of people who returned to
homelessness in the AP within 6 months
of exiting permanent housing / Total # of
people who exited permanent housing in
last 6 months)*100 OHS Monthly
This indicator can also be
replicated to measure
rate of incidence from last
12 months.
Azemati and Grover-
Roybal, “Shaking up the
Routine: How Seattle Is
Implementing Results-
Driven Contracting
Practices to Improve
Outcomes for People
Experiencing
Homelessness.”
0.12 Demographic
disproportionality
in service
delivery- race &
ethnicity Secondary
Systems
Prevention
Share of population
receiving homeless
services, for each race
& ethnicity
Racial and ethnic identity
of people receiving
homeless services is
essential to identify any
disproportionality.
(# of people receiving homeless services
from each race & ethnicity / Total # of
people receiving homeless services in the
AP)*100 OHS Monthly
Azemati and Grover-
Roybal, “Shaking up the
Routine: How Seattle Is
Implementing Results-
Driven Contracting
Practices to Improve
Outcomes for People
Experiencing
Homelessness.”
0.13 Demographic
disproportionality
in service
delivery- age Secondary
Systems
Prevention
Share of population
receiving homeless
services, for each age
group
Determining age groups of
people receiving homeless
services is essential to
identify any
disproportionality.
(# of people receiving homeless services
from each age group/ Total # of people
receiving homeless services in the
AP)*100 OHS Monthly
Azemati and Grover-
Roybal, “Shaking up the
Routine: How Seattle Is
Implementing Results-
Driven Contracting
Practices to Improve
Outcomes for People
Experiencing
Homelessness.”
0.14 Demographic
disproportionality
in service
delivery- gender Secondary
Systems
Prevention
Share of population
receiving homeless
services, for each
gender
Gender identity of people
receiving homeless
services is essential to
identify any
disproportionality.
(# of people receiving homeless services
from each gender/ Total # of people
receiving homeless services in the
AP)*100 OHS Monthly
Azemati and Grover-
Roybal, “Shaking up the
Routine: How Seattle Is
Implementing Results-
Driven Contracting
Practices to Improve
Outcomes for People
Experiencing
Homelessness.”
0.15 Demographic
disproportionality
in service
delivery-
household size Secondary
Systems
Prevention
Share of population
receiving homeless
services, for household
size groups
Size of households is
essential to determine the
disproportionality in service
delivery to individuals and
families.
(# of people receiving homeless services
from each household size group/ Total # of
people receiving homeless services in the
AP)*100 OHS Monthly
Azemati and Grover-
Roybal, “Shaking up the
Routine: How Seattle Is
Implementing Results-
Driven Contracting
Practices to Improve
Outcomes for People
Experiencing
Homelessness.”
Notes:
* Not an HAP target
1. Target 1.4 of HAP is not included because it is a subset of target 1.3.
Proposed Amendments to Riverside Homelessness Action Plan ● Page 18 Naman Sharma, Bloomberg Harvard Summer Fellow, Office of Mayor, City of Riverside
3. Target 1.6 of HAP is a routine activity of the Community and Economic Development Department- Housing Authority and does not need active monitoring in HAP.
4. Targets 2.9 of HAP is not included in the assessment framework as it is a one-time target and does not need regular monitoring in the future.
5. Targets 4.2, 4.3, 2.4, 2.5, and 3.4 are shifted to the demographic baseline section of assessment framework.