In 2025, all 58 counties are projected to face a shortage across all behavioral health roles examined, with the most severe shortages in the Northern & Sierra, Inland Empire and San Joaquin Valley regions, as defined by the California Health Interview Survey (CHIS).
Why is Modeling the Supply and Demand of Our Behavioral Health Workforce Important?
Modeling tools provide a detailed, role- and geography-specific analysis of the current and future workforce, including both anticipated gaps and available supply. These models support data-driven decision-making across departments, agencies, and stakeholder groups by quantifying the scale of workforce challenges and proactively addressing future shortages and inequities. They also enable greater impact by creating a shared understanding of gaps, priorities and opportunities. By highlighting the greatest gaps by role and region, the models guide more effective allocation of funding and programmatic efforts across entities. Additionally, modeling enables the tracking of progress toward state equity goals—such as improving racial and linguistic representation—and helps reduce disparities.
All results and analyses have been made publicly available through interactive dashboards, public data files, and comprehensive methodology documentation. Additionally, these models will continue to be refined and updated, ensuring the information remains accurate and relevant over time. This approach promotes transparency and accessibility, while supporting informed, ongoing decision-making. Through these efforts, HCAI aims to be a leading authority on health workforce supply and demand in California and beyond, empowering HCAI and its partners to equitably address behavioral health workforce shortages, and to better serve the needs of all Californians.
Key Findings
- In 2025, all 58 counties are projected to face a shortage across all behavioral health roles examined, with the most severe shortages in the Northern & Sierra, Inland Empire, and San Joaquin Valley CHIS regions.
- All regions and counties are projected to face a shortage of Non-Prescribing Licensed Clinicians in 2025, with 22 counties facing a severe shortage of -50% or more. Statewide, this represents a -40.6% shortage and an estimated need for 55,298 additional providers to meet forecasted demand.
- By 2033, it is projected that the overall statewide shortage of Non-Prescribing Licensed Clinicians will increase to just over -42%, resulting in a need for 171,413 total providers to meet future demand, nearly double the current statewide supply.
- In 2025, nearly all regions and counties are projected to face a shortage of Associate Level Clinicians, with 17 counties facing a severe shortage of -50% or more. Statewide, this represents a -33.6% shortage and an estimated need for 13,175 additional providers to meet forecasted demand.
- By 2033, the statewide shortage of Associate Level Clinicians is projected to decrease by half (-17.7%). However, 43 counties will still face a shortage of -5% or more while 11 counties will face a surplus of 5% or more, indicating a potential maldistribution of providers.
- All regions and counties are projected to face a shortage of Psychiatrists in 2025, with 39 counties facing a severe shortage of -50% or more. Statewide, this represents an estimated need for 3,782 additional providers to meet forecasted demand. By 2033, it is projected that need will double to more than 6,200 additional providers needed to meet forecasted demand.
Note: Current data as of 2022, model projections 2023-2033.
Visualization
How HCAI Created This Product
- HCAI developed models to measure and predict the current and future supply and demand of California’s Behavioral Health workforce. These models utilize licensing data and care delivery trends broken down by role or role group to create supply projections by Full Time Equivalent (FTE). These FTEs are used in conjunction with actual reported average patient care hours and employment rates from each role or role group to determine supply and demand at the provider level. In addition, these models consider the current and potential future demand for each role or role grouping based on capacity and utilization rates, as well as provider-to-population ratios based on setting, and calculated inpatient met/unmet demand and outpatient met/unmet demand for each role. See HCAI’s Modeling Methodology documentation for additional details.
- Behavioral Health professions were categorized into the following role or role groups based on role similarity and scope of practice:
- Associate Level Clinicians: Associate Clinical Social Worker (ACSW), Associate Marriage and Family Therapist (AMFT), Associate Professional Clinical Counselor (APCC) and Registered Psychological Associate (RPA)
- Non-Prescribing Licensed Clinicians: Licensed Clinical Social Worker (LCSW), Licensed Marriage and Family Therapist (LMFT), Licensed Professional Clinical Counselor (LPCC), and Psychologist (PSY)
- Psychiatrists: Physician and Surgeon (MD) and Osteopathic Physician and Surgeon (DO) with a specialty in Psychiatry
- Population projections were taken from the US Department of Finance’s P-2A Total Population for California and Counties
- Four major region types (California Community Colleges (CCC) Regions, CHIS Regions, Job First Regions, and Labor Market Regions) were used to provide multiple geographic comparisons. The breakdowns of each Region Type are listed below:
Region Type | Region | Counties |
CHIS Region | Central Coast | Monterey, San Benito, San Luis Obispo, Santa Barbara, Santa Cruz, Ventura |
Greater Bay Area | Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, Sonoma | |
Inland Empire | Riverside, San Bernardino | |
Los Angeles County | Los Angeles | |
Northern and Sierra | Alpine, Amador, Butte, Calaveras, Colusa, Del Norte, Glenn, Humboldt, Inyo, Lake, Lassen, Mariposa, Mendocino, Modoc, Mono, Nevada, Plumas, Shasta, Sierra, Siskiyou, Sutter, Tehama, Trinity, Tuolumne, Yuba | |
Orange County | Orange | |
Sacramento Area | El Dorado, Placer, Sacramento, Yolo | |
San Diego Area | Imperial, San Diego | |
San Joaquin Valley | Fresno, Kern, Kings, Madera, Merced, San Joaquin, Stanislaus, Tulare | |
CCC Region | Bay Area Region | Alameda, Contra Costa, Marin, Monterey, Napa, San Benito, San Francisco, San Mateo, Santa Clara, Santa Cruz, Solano, Sonoma |
Central Valley/Mother Lode Region | Alpine, Amador, Calaveras, Fresno, Inyo, Kern, Kings, Madera, Mariposa, Merced, Mono, San Joaquin, Stanislaus, Tulare, Tuolumne | |
Inland Empire/Desert Region | Riverside, San Bernardino | |
Los Angeles Region | Los Angeles | |
North/Far North Region | Butte, Colusa, Del Norte, El Dorado, Glenn, Humboldt, Lake, Lassen, Mendocino, Modoc, Nevada, Placer, Plumas, Sacramento, Shasta, Sierra, Siskiyou, Sutter, Tehama, Trinity, Yolo, Yuba | |
Orange County Region | Orange | |
San Diego/Imperial Region | Imperial, San Diego | |
South Central Coast Region | San Luis Obispo, Santa Barbara, Ventura | |
Job First Region | Bay Area | Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, Sonoma |
Capitol | El Dorado, Nevada, Placer, Sacramento, Sutter, Yolo, Yuba | |
Central Coast | Monterey, San Benito, San Luis Obispo, Santa Barbara, Santa Cruz, Ventura | |
Central San Joaquin Valley | Fresno, Kings, Madera, Tulare | |
Eastern Sierra | Alpine, Amador, Calaveras, Inyo, Mariposa, Mono, Tuolumne | |
Inland Southern California | Riverside, San Bernardino | |
Kern County | Kern | |
Los Angeles County | Los Angeles | |
North San Joaquin Valley | Merced, San Joaquin, Stanislaus | |
North State | Butte, Colusa, Glenn, Lassen, Modoc, Plumas, Shasta, Sierra, Siskiyou, Tehama, Trinity | |
Orange County | Orange | |
Redwood Region | Del Norte, Humboldt, Lake, Mendocino | |
Southern Border | Imperial, San Diego | |
Labor Market Region | Bakersfield MSA | Kern |
Chico MSA | Butte | |
El Centro MSA | Imperial | |
Fresno MSA | Fresno | |
Hanford-Corcoran MSA | Kings | |
Los Angeles-Long Beach-Anaheim MSA | Los Angeles | |
Los Angeles-Long Beach-Anaheim MSA | Orange | |
Madera MSA | Madera | |
Merced MSA | Merced | |
Modesto MSA | Stanislaus | |
Napa MSA | Napa | |
Oxnard-Thousand Oaks-Ventura MSA | Ventura | |
Redding MSA | Shasta | |
Riverside-San Bernardino-Ontario MSA | Riverside, San Bernardino | |
Rural Labor Markets or Non-Metro Areas | Alpine, Amador, Calaveras, Colusa, Del Norte, Glenn, Humboldt, Inyo, Lake, Lassen, Mariposa, Mendocino, Modoc, Mono, Nevada, Plumas, Sierra, Siskiyou, Tehama, Trinity, Tuolumne | |
Sacramento-Roseville-Folsom MSA | El Dorado, Placer, Sacramento, Yolo, | |
Salinas MSA | Monterey | |
San Diego-Carlsbad MSA | San Diego | |
San Francisco-Oakland-Berkeley MSA | Alameda, Contra Costa, Marin, San Francisco, San Mateo | |
San Jose-Sunnyvale-Santa Clara MSA | San Benito, Santa Clara | |
San Luis Obispo-Paso Robles-Arroyo Grande MSA | San Luis Obispo | |
Santa Cruz-Watsonville MSA | Santa Cruz | |
Santa Maria-Santa Barbara MSA | Santa Barbara | |
Santa Rosa-Petaluma MSA | Sonoma | |
Stockton-Lodi MSA | San Joaquin | |
Vallejo-Fairfield MSA | Solano | |
Visalia-Porterville MSA | Tulare | |
Yuba City MSA | Sutter | |
Yuba City MSA | Yuba |
Additional Information
Topic: Health Workforce
Source Link: Supply and Demand Modeling for California’s Behavioral Health Workforce
Citation: HCAI – Supply and Demand Modeling for California’s Behavioral Health Workforce, 2025
Temporal Coverage: Current data as of 2022, model projections 2023-2033
Spatial/Geographic Coverage: Regional & County
Frequency: Annually