Human Capital Characteristics of Top Renewable Counties Across U.S. Economic Regions

Aggregating human capital characteristics for selected case study counties designated as the most renewable in each of the eight U.S. Department of Commerce economic regions. It was authored by Michael Petersen and is hosted by Harvard Dataverse. The data focuses on skills, abilities, access to education, training programs, and leadership development resources.

Use Cases

• Analyze the relationship between renewable county designation and access to formal and informal educational institutions.
• Compare workforce training programs and adult leadership programs across different U.S. economic regions.
• Study lifelong learning activities and resources as components of human capital in renewable energy-focused communities.

Strengths

• Covers the eight U.S. Department of Commerce economic regions, providing a structured geographic scope.
• Focuses on counties designated as the most renewable, offering a specific comparative lens.
• Includes multiple human capital dimensions such as education, training, and leadership.

Limitations

• The specific number of rows, columns, and sample data are unavailable, limiting assessment of dataset scale and structure.
• The dataset's methodology for selecting counties and measuring human capital characteristics is not described.
• The temporal coverage of the data is unknown, which may affect analysis of trends over time.

Provenance

Source

Harvard Dataverse, authored by Michael Petersen.

Collection Method

Case study selection of the most renewable counties within predefined economic regions; specific data collection methods are unknown.

Freshness

The metadata was last updated on 2026-02-19, indicating recent maintenance.

Geography

Selected counties across the eight U.S. Department of Commerce economic regions.