Homelessness

Measuring the number of homeless served by shelters.

This indicator measures the number of homeless served by shelters.Explore the data
individuals
Current
350individuals
Dec 2020 Target
Goal Period ended December 2020

            What is this indicator?

            This measure is the number of individuals in temporary housing in Santa Monica, measured during the 2015 Homeless Count.

            Why is it important?

            In Santa Monica, and in LA County, there is often a long wait to secure permanent housing. Emergency and transitional shelters are an important part of the continuum of services necessary to assist people in crisis. Emergency and transitional shelter provide interim housing accommodations while individuals apply and secure permanent housing. As part of the continuum of services available within the City of Santa Monica, there are 95 emergency beds and 337 transitional beds. The City of Santa Monica has 314 permanent supportive housing beds.

            How are we doing?

            The City promotes a “Housing First” model for all City-funded homeless programs. The Housing First model aims to place individuals and families experiencing homelessness into permanent supportive housing as quickly as possible. Once in stable housing, appropriate supportive services are provided to assist in the recovery process, to help retain ongoing housing stability, and empower pursuit of personal goals.Research across the nation and specifically in Los Angeles, report that the housing first model is more successful than traditional homeless interventions. According to the 2009 United Way of Greater Los Angeles Homeless Cost Study, the housing first model costs the community 43% less than leaving someone on the streets.

            According to the City of Santa Monica’s 2015 Homeless Count, persons in shelter, transitional housing and institutions(hospitals, jails) within the City of Santa Monica was 336 individuals on the night of the count. This represents a 15% decrease (396 individuals) from 2014 and a 23% decrease (435 individuals) from the baseline year of 2009, primarily due to reductions in the number of available beds.

      Data Governance

      describes the quality of the data itself. Governance issues generally indicate that the data source is considered incomplete or unreliable.

      Model Health

      describes the quality of the predictive model. If the model health is poor, the trend prediction should not be trusted.

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