Creative Sector Activity

Measuring creative sector employment

This indicator measures the number of people employed in the creative sector.Explore the data
people
Current
17,800people
Dec 2020 Target
Goal Period ended December 2020

            What is this indicator?

            Santa Monica has an extraordinary proportion of artists,performers, designers, writers, directors and other professionals who work in the creative sector. This indicator measures the number of creative jobs in Santa Monica.

            Why is it important?

            The number of creative jobs in Santa Monica helps shape Santa Monica’s cultural identity and informs the vision for the arts and culture.

            How are we doing?

            Santa Monica has a remarkable, yet in some ways hidden,asset—an extraordinary trove of creative professionals The city boasts perhaps the largest concentration of creative employment, per capita, in the U.S. —even compared to Los Angeles and other creative centers. In 2013 there were 17, 834 creative jobs in Santa Monica per the Creative Vitality Index, up 6% since 2011.

            In 2007 the City adopted Creative Capital, a collective vision for the future of the arts and culture in Santa Monica. The plan documents challenges facing the arts, and lays out strategies for fulfilling this vision. These strategies will help the City reach targets for an annual increase of creative sector employees by 2020.

            How can we help?

            • Support local artists and creative sector employees.
            • Get involved with local arts events and festivals by following the Santa Monica Cultural Affairs Division or by signing up for The Palette, a weekly email that highlights art and cultural events happening in Santa Monica.
            • Recognize local artists and arts leaders by nominating them for the Arts Leadership Award.

      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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