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Data Sets

Creative Class County Codes

Overview

Richard Florida's Rise of the Creative Class makes a compelling argument that urban development now depends on novel combinations of knowledge and ideas, that certain occupations specialize in this task, that people in these occupations are drawn to areas providing a high quality of life, and that the essential development strategy is to create an environment that attracts and retains these workers. While developed with urban areas in mind, this thesis may be particularly relevant in rural areas, which lose much of their young talent as high school graduates leave for college, the armed forces, or "city lights."

Our analysis of recent development in rural U.S. counties, which focuses on natural amenities as quality-of-life indicators, supports the creative class thesis. A repetition for urban counties also shows a strong relationship between creative class presence and growth, although natural amenities play a smaller role. However, our results depend on a recast creative class measure, which excludes from the original Florida measure many occupations with low creativity requirements and those involved primarily in economic reproduction (i.e., numbers proportional to population). Our measure conforms more closely to the concept of creative class and proves to be more highly associated with regional development than the original Florida measure.

Other work by Florida has demonstrated that a critical subset of the creative class is that comprised of fine, performing, and applied artists. His "Bohemian index"—the share of employment in arts occupations—is strongly associated with new firm formation and high-tech specialization in metropolitan areas. The creative class codes data file also breaks out the share of employment in the arts.

The data sources and process of defining county-level creative class codes are described in the documentation.

A  map shows the location of metro and nonmetro creative class counties.

Data Files

County-level creative class codes, 1990 and 2000
Data table—Variables used to construct the ERS creative class measure include number and percent employed in creative class occupations and a metro/nonmetro indicator for all counties, 1990 and 2000. A break-out of employment in the arts is included.

Data Documentation and Methods

Get details about how the measure is constructed, and examples of its use in research.

Related Resources

Related Links

 

For more information, contact: David McGranahan or Timothy Wojan

Web administration: webadmin@ers.usda.gov

Updated date: October 17, 2007