The U.S. Census Bureau and the Local Employment Dynamics (LED) Partnership in collaboration with the Council for Community and Economic Research (C2ER) and the Labor Market Information (LMI) Institute, welcomes Heath Hayward and Raza Lamb as they present, "Extract, Analyze, and Visualize LODES from the LED Extraction Tool.” The LED Extraction Tool provides easy access to the raw data products produced through the Local Employment Dynamics (LED) Partnership, and a recent release of the tool now includes access to the LEHD Origin-Destination Employment Statistics (LODES) data product. In this presentation, the process for querying LODES via the LED Extraction Tool will be highlighted, along with easy ways to use open-source programming languages (Python and R) to access, analyze, and visualize outputs from the tool.

Heath Hayward is a Geographer and Applications Developer in the Center for Economic Studies (CES) at the U.S. Census Bureau. He has developed data tools for the Longitudinal Employer-Household Dynamics (LEHD) program since 2006. Prior to working at the Census Bureau, Mr. Hayward completed his master’s degree in Geographic Information Science at the University of Denver and his bachelor’s degree in economics from DePauw University in Indiana.

Raza Lamb is a Data Scientist in the Center for Economic Studies (CES) at the Census Bureau. In his current role, he focuses on integrating data science techniques into the Census Bureau's data products and applications. Raza has a Master of Science in Data Science from Duke University. During graduate school, Raza's capstone centered on evaluating the quality and bias of the decennial census in North Carolina at sub-state geographies. Before attending graduate school, Raza was a policy analyst for the Alzheimer's Association for four years, conducting statistical analysis and research to further the Association's legislative and regulatory agenda.

Time: 1:30 - 2:45 p.m. ET