Creative Sector Activity

Measuring revenue produced in billion of dollars.

This indicator measures revenue produced by the creative sector in billions of dollars.Explore the data
billion dollars
Current
5.5billion dollars
Dec 2020 Target
Goal Period ended December 2020

            What is this indicator?

            This indicator measures the amount of economic activity generated by the City’s creative sector.

            Why is it important?

            This proliferation of businesses in the creative sector helps define Santa Monica’s cultural identity and informs the vision for the arts and culture. It also creates an imperative to re-examine Santa Monica’s cultural priorities.

            How are we doing?

            Santa Monica’s creative sector generates approximately $5.5 billion in economic activity annually. It boasts perhaps the largest concentration of creative employment per capita in the U.S. and has been a destination and a haven for artists for more than a hundred years.

            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 its target for no net losses in revenue produced by 2020.

            An example of Santa Monica’s crossover among sub-sectors of the arts is the annual week-long international trade show, the American Film Market (AFM), where producers bid on independent films. Approximately $800 million in transactions are made at AFM. The local economic impact is also substantial. AFM generates $15 million to $17 million in total spending in Santa Monica, and $500,000 in tax revenues to the City. Residents can view screenings for free by registering at the AFM website.

            How can we help?

            • Support local artists and creative sector businesses.

      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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