Yearly statewide and by-Continuum of Care total counts of individuals receiving homeless response services by age group, race, gender, veteran status, and disability status. This data comes from the Homelessness Data Integration System (HDIS), a statewide data warehouse which compiles and processes data from all 44 California Continuums of Care (CoC)—regional homelessness service coordination and planning bodies. Each CoC collects data about the people it serves through its programs, such as homelessness prevention services, street outreach services, permanent housing interventions and a range of other strategies aligned with California’s Housing First objectives. The dataset uploaded reflects the 2024 HUD Data Standard Changes. Previously, Race and Ethnicity were separate files but are now combined. Information updated as of 11/13/2025.

The HELP Act Goals were developed by the California Interagency Council on Homelessness (Cal ICH), pursuant to Homeless Equity for Left Behind Populations (HELP) Act (SB 914). The goals help the state assess its progress toward reducing and ending homelessness for survivors of domestic violence, their children, and unaccompanied women. Measures for each goal are generated using data from the state's Homelessness Data Integration System (HDIS). Values under 11 and values that allow numbers under 11 to be calculated are suppressed by an asterisk. Cells are blank if data is not available for a given year. For more information about the measures and how they are calculated, please see the HELP Act Data Glossary: https://bcsh.ca.gov/calich/documents/help_data_dictionary.pdf For more information about HDIS, please visit https://bcsh.ca.gov/calich/hdis.html.

Data Prepared by Los Angeles Homeless Services Authority

July 26 2017

Components of the Homeless Count

Street Count (all census tracts): Captures a point in time estimate of the unsheltered population.

Shelter Count (from Homeless Management Integration System): Captures the homeless population in emergency shelters, transitional housing, safe havens and vouchered motels/hotels.

Youth Count (sample census tracts): Collaborative process with youth stakeholders to better understand and identify homeless youth.

Demographic Survey (sample census tracts): Captures the demographic characteristics of the unsheltered homeless population.

Notes

Street Count Data include persons found outside, including persons found living in cars, vans, campers/RVs, tents, and makeshift shelters. The conversion factors used to estimate the number of persons found living outside are the following: For families—Makeshift Shelter = 3.69, Car = 2.96, Van = 3.46, Camper/RV = 3.52, Tent = 3.78; For Individuals—Makeshift Shelter = 1.92, Car = 1.52, Van = 1.77, Camper/RV = 2.05, Tent = 1.69.

Please visit https://www.lahsa.org/homeless-count/home to view and download data.

Last updated 7/26/2017

Data Prepared by Los Angeles Homeless Services AuthoritySeptember 5 2018Components of the Homeless CountStreet Count (all census tracts): Captures a point in time estimate of the unsheltered population.Shelter Count (from Homeless Management Integration System): Captures the homeless population in emergency shelters, transitional housing, safe havens and vouchered motels/hotels.Youth Count (sample census tracts): Collaborative process with youth stakeholders to better understand and identify homeless youth.Demographic Survey (sample census tracts): Captures the demographic characteristics of the unsheltered homeless population.NotesStreet Count data includes homeless persons found outside, including persons found residing in cars, vans, campers/RVs, tents and makeshift shelters. The following conversion factors were used to estimate the number of persons living in cars, vans, campers/RVs, tents and makeshift shelters if enumerators encountered homeless persons living in these environments. Individuals: Cars = 1.54, Vans = 1.62, RV's = 1.76, Tents = 1.52 and Makeshift Shelters = 1.67. Family Members: Cars = 2.96, Vans = 2.43, RV's = 3.45, Tents = 2.75 and Makeshift Shelters = 2.42. Demographic survey interviews conducted with 4,934 homeless persons from December 2017 to March 2018 determined these conversion factors for the average number of homeless persons in cars, vans, campers/RVs, tents and makeshift shelters. Please visit https://www.lahsa.org/homeless-count/home to view and download data.Last updated 9/5/2018

The lives of persons living with mental illness are affected by psychological, biological, social, economic, and environmental factors over the life course. It is therefore unlikely that simple preventive strategies, clinical treatments, therapeutic interventions, or policy options will succeed as singular solutions for the challenges of mental illness. Persons living with mental illness receive services and supports in multiple settings across the health care continuum that are often fragmented, uncoordinated, and inadequately responsive. Appropriate assessment is an important tool that health systems must deploy to respond to the strengths, preferences, and needs of persons with mental illness. However, standard approaches are often focused on measurement of psychiatric symptoms without taking a broader perspective to address issues like growth, development, and aging; physical health and disability; social relationships; economic resources; housing; substance use; involvement with criminal justice; stigma; and recovery. Using conglomerations of instruments to cover more domains is impractical, inconsistent, and incomplete while posing considerable assessment burden. interRAI mental health instruments were developed by a network of over 100 researchers, clinicians, and policy experts from over 35 nations. This includes assessment systems for adults in inpatient psychiatry, community mental health, emergency departments, mobile crisis teams, and long-term care settings, as well as a screening system for police officers. A similar set of instruments is available for child/youth mental health. The instruments form an integrated mental health information system because they share a common assessment language, conceptual basis, clinical emphasis, data collection approach, data elements, and care planning protocols. The key applications of these instruments include care planning, outcome measurement, quality improvement, and resource allocation. The composition of these instruments and psychometric properties are reviewed, and examples related to homeless are used to illustrate the various applications of these assessment systems.

Shelter Intake Biometric Options Market Outlook

According to our latest research, the global shelter intake biometric options market size achieved a valuation of USD 1.47 billion in 2024, reflecting a robust expansion across key regions. The market is currently experiencing a strong compound annual growth rate (CAGR) of 13.2% and is projected to reach USD 4.12 billion by 2033. This exceptional growth is primarily driven by the increasing adoption of biometric technologies for enhanced security, accuracy, and efficiency in shelter intake processes, especially as organizations strive to address rising concerns around identity verification and resource management.

One of the primary growth factors propelling the shelter intake biometric options market is the urgent need for reliable and efficient identification systems within shelters. Traditional manual intake procedures are often susceptible to errors, fraud, and data duplication, leading to operational inefficiencies and compromised safety. The integration of advanced biometric technologies such as fingerprint recognition, facial recognition, and iris scanning enables shelters to authenticate identities rapidly and accurately. This technological shift is particularly crucial in high-volume environments such as disaster relief shelters and urban homeless shelters, where timely service delivery and data integrity are paramount. The increasing demand for robust security protocols, coupled with regulatory pressures to maintain accurate records, is accelerating the adoption of biometric solutions across the sector.

Another significant driver of market growth is the rising collaboration between government agencies, non-profit organizations, and private entities to modernize shelter management systems. These stakeholders are increasingly recognizing the value of biometric options in streamlining intake processes, reducing administrative burdens, and enhancing the overall quality of care provided to shelter residents. The availability of cloud-based deployment models further facilitates the seamless integration of biometric systems, enabling real-time data sharing and remote access. As a result, shelters are better equipped to manage fluctuating populations, track service utilization, and ensure compliance with privacy and data protection regulations. This collaborative approach is fostering innovation and accelerating the deployment of biometric technologies across diverse shelter settings.

Additionally, the shelter intake biometric options market is benefiting from advancements in artificial intelligence and machine learning, which are enhancing the accuracy and reliability of biometric identification systems. Modern solutions now offer multi-modal capabilities, allowing shelters to combine multiple biometric modalities such as voice recognition and facial recognition for improved verification outcomes. These advancements not only reduce the risk of identity fraud but also support inclusive access for individuals who may face challenges with traditional identification methods. The integration of biometric options with existing shelter management software further streamlines operations, enabling data-driven decision-making and efficient resource allocation. As technology continues to evolve, the market is poised for sustained growth, driven by ongoing innovation and expanding application areas.

From a regional perspective, North America currently dominates the shelter intake biometric options market, accounting for the largest revenue share in 2024, followed closely by Europe and the Asia Pacific. The United States, in particular, has witnessed significant investments in biometric infrastructure for both public and private shelter systems, driven by stringent regulatory requirements and a strong focus on security. Meanwhile, emerging economies in the Asia Pacific region are rapidly adopting biometric technologies to address growing urbanization and disaster response needs. Europe’s market is characterized by a strong emphasis on data privacy and interoperability, leading to widespread adoption of cloud-based and hybrid biometric solutions. Latin America and the Middle East & Africa are also witnessing steady growth, supported by international aid initiatives and government-led modernization programs.