The Social Science Data Analysis Network (SSDAN) is a university-based organization that creates demographic media (such as user guides, web sites, and hands-on classroom computer materials) that make U.S. census data accessible to policymakers, educators, the media, and informed citizens. SSDAN is directed by demographer William H. Frey and utilizes facilities at the Population Studies Center, University of Michigan.
Upcoming Events:
Methodology Updates for the Vintage 2024 Estimates
Module of the Month!
Explore the dynamic world of demographic analysis with your class by adding one of SSDAN’s featured learning modules to your course! This free resource guides students through the process of using American Community Survey (ACS) and Census data to uncover trends in population shifts and social change.
Designed for first and second-year social sciences courses, these modules combine quantitative methods with real-world applications, empowering students to make data-driven decisions. Engage your classroom with hands-on activities, interactive visualizations, and practical assignments that enhance critical thinking and analytical skills. Dive into the data and discover the stories it tells!
This month we are highlighting the learning module, “Investigating the Effects of Race and Gender on Earnings in the United States” by Jill Bouma, Berea College. This module teaches undergraduate students to analyze American Community Survey data, focusing on the impact of race and gender on earnings in the U.S. Through hands-on activities, students will formulate testable hypotheses, interpret bivariate tables, and explore income inequality at national, regional, and state levels, including comparisons with Kentucky.