In 2025, 50 counties are projected to face a shortage of one or more nursing role groups, with the highest shortages in the Northern & Sierra, Central Coast, and Los Angeles County regions, as defined by the California Health Interview Survey (CHIS).
Why is Modeling the Supply and Demand of California’s Nursing 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 workforce shortages and to better serve the needs of all Californians.
Key Findings
- In 2025, 50 counties are projected to face a shortage of one or more nursing role groups, with the highest shortages in the Northern & Sierra, Central Coast, and Los Angeles County CHIS regions.
- The projected statewide shortage of Registered Nurses for 2025 is low at just over -6%, with an estimated need for 18,793 additional providers to meet forecasted demand. Certain CHIS regions, like Northern & Sierra, face a projected shortage of more than 25%, while the Sacramento Area faces a projected surplus of nearly 11%, indicating a maldistribution of providers within the state.
- By 2033, it is projected that 50 counties will face a -5% shortage or more of Registered Nurses. The overall statewide shortage will increase to just under -17%, resulting in a need for 61,141 additional providers to meet future demand.
- 2025 projections indicate there is a low surplus of Vocational Nurses statewide (6.5%). However, 25 counties are facing a shortage of Vocational Nurses, while 25 counties are facing a surplus. This indicates there is a maldistribution of Vocational Nursing providers within the state. This maldistribution is projected to worsen by 2033.
- In 2025, 35 counties are projected to face a shortage of Nurse Anesthetists, with 23 counties facing a shortage of -25% or more. Statewide, this is a projected shortage of over -20% with an estimated need for 441 additional providers to meet forecasted demand. This shortage is projected to decrease by half (-11.5%) by 2033 as the supply of Nurse Anesthetists steadily increases over time.
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 nursing 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 individual 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, to estimate demand. See HCAI’s Modeling Methodology documentation for additional details.
- Nursing professions were categorized into the following role or role groups based on role similarity and scope of practice:
- Nurse Anesthetist: Nurse Anesthetist (NA)
- Vocational Nurse: Licensed Vocational Nurse (LVN)
- Registered Nurse Group: Registered Nurse (RN), Certified Nurse Specialist (CNS), Public Health Nurse (PHN), and Psychiatric Mental Health Nurse (PMHN)
- 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 for 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 Nursing Workforce
Citation: HCAI – Supply and Demand Modeling for California’s Nursing Workforce, 2025
Temporal Coverage: Current data as of 2022, model projections 2023-2033
Spatial/Geographic Coverage: Regional & County
Frequency: Annually