News, reports, white papers, and publications related to Regional Clusters.
The economic landscape is evolving at a remarkable pace. As the global economy continues shifting from industrial production to specialized services and onward into the knowledge economy, regions must understand not only what industries they have, but also what skills and knowledge their workforce brings to the table.
Read ArticleThis article explores the skills’ characteristics of occupations by using the O*Net databases for the U.S., understanding the skills profiles of individual occupations across content, process, and technical groups.
Read ArticleIndustry clusters are a group of firms and business establishments that buy from and sell to each other, sharing technologies, labor pools, and supply chains. This article explores spatial machine learning methods for cluster analysis.
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| Data Map |
Industry to Industry Correlations: Similar Locations (Agribusiness Cluster Correlation Values)
Industry-to-industry correlations reveal Pearson correlations between industry pairs, indicating colocation. It shows which industry sectors are appearing together geographically. The Tableau-based example illustrates correlations between industry sectors included in the Agribusiness, Food Processing, and Manufacturing cluster. The visualization is based on the County Business Patterns 2022 data. |
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| Data Map |
Industry to Industry Correlations: Similar Occupations (0.5+)
Industry-to-industry correlations based on occupations show similar staffing patterns or labor force and skills requirements between industry pairs. The interactive graphic shows Pearson correlations of +0.5 or higher for similar occupations. The interactive visualization reveals that some industry pairs are more related in terms of labor requirements, which is an important characteristic for industry clusters. The visualization is based on National Industry Occupation Employment Matrix (NIOEM) data for 2023, available from Lightcast and the Bureau of Labor Statistics (BLS). |
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| Data Map |
Industry to Industry Correlations: Similar Occupations (0.7+)
Industry-to-industry correlations based on occupations show similar staffing patterns or labor force and skills requirements between industry pairs. The interactive graphic shows positive Pearson correlations of +0.7 or higher for similar occupations. The interactive visualization reveals that some industry pairs are more related in terms of labor requirements, which is an important characteristic for industry clusters. Note that there are smaller groups of industries related in labor requirements compared to the +0.5 correlations visualization. The visualization is based on National Industry Occupation Employment Matrix (NIOEM) data for 2023, available from Lightcast and the Bureau of Labor Statistics (BLS). |
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Author
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Defining U.S. Industry Clusters: Insights from Network Analysis of Locational and Occupational Correlational Measures
By Andrey Zhalnin, Benjamin St. Germain, Bertin Mbongo, Indraneel Kumar
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2.07 MB | June 8, 2026 | Download |
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Defining U.S. Industry Clusters: Methodological Insights from Inter-Industry Transactions Analysis
By Andrey Zhalnin, Benjamin St. Germain, Bertin Mbongo, Indraneel Kumar, Rachel Zhang
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1.75 MB | Feb 28, 2026 | Download |
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Knowledge Economy and Knowledge-based Occupation Clusters for the U.S.
By Andrey Zhalnin, Benjamin St. Germain, Bertin Mbongo, Indraneel Kumar, Taoyi Sun
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3.10 MB | Sep 8, 2025 | Download |
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Industry and Occupation Clusters: A Synthesis of Experts’ Interviews
By Andrey Zhalnin, Annie Cruz-Porter, Cheyanne Geideman, Indraneel Kumar, Melinda Grismer
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768.54 KB | Apr 21, 2025 | Download |
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Economic Competitiveness: A Literature Review of Industry, Occupation and Skill Clusters, and Related Topics
By Annie Cruz-Porter, Cheyanne Geideman, Hyewon Shin, Indraneel Kumar, Mark C. White
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1.02 MB | Apr 21, 2025 | Download |
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Occupations by Skills Clusters for the U.S.: Methodological Framework and Experiments
By Andrey Zhalnin, Benjamin St. Germain, Bertin Mbongo, Indraneel Kumar, Karen Ivanna Siller, Mark C. White
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3.84 MB | Nov 1, 2024 | Download |
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An Application of Spatial Machine Learning Methods in Industry Clusters Analysis
By Andrey Zhalnin, Benjamin St. Germain, Bertin Mbongo, Indraneel Kumar
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7.33 MB | Jul 1, 2024 | Download |