Students explore wealth disparity in the U.S. through a simulated activity involving ten chairs which represent the U.S. population. (Will require updating with current data on wealth inequality.)

This multi-step activity engages students in comparing demographic data of people in the military with demographics of the Zip Code or State where they are from. The goal is to look for any disproportionate relationships within the data, and to discuss possible causes and consequences for the imbalances. There is a variety of math that can be used in this lesson, but the focus is on data analysis through mapping, graphing, and statistical computations.

In this lesson, students examine a flyer that was sent by the Clovis Unified School District that shows mostly white faces, despite the racially diverse community it serves. Students draw on census data to determine a more accurate way for the flyer to represent the population.

In groups, students will figure out the hourly wage necessary for a family in Chicago to afford housing. They will look at real data about hourly wages and the cost for renting each month. Their goal is to use mathematics to decide whether or not they think six families in Chicago are paid fair wages.

Students compare demographic data of people in the military with demographics of the Zip Code or State where they are from to explore racial disproportionality.

Free and open access to global development data

Students explore wages for a group of workers at fast food restaurants, and apply different procedures to calculate averages in order to determine which average is fairest to use as a measure of average wages.

Students apply different methods to tallying votes from an election and make mathematical justifications for which candidate they believe won the election.

This website shows how long it would take for members of the Jenner/Kardashian family to earn the salary of low-wage/middle income people. A useful tool to demonstrate wealth inequality.