Activity 01
Data Analysis: Density vs. Quality of Life
Groups receive data on population density, HDI, GDP per capita, food import dependence, and freshwater availability for six countries (Netherlands, Bangladesh, Singapore, Mongolia, India, Australia). They create a scatter plot or ranking comparing density to quality-of-life indicators and develop an explanation for why dense places can have high or low well-being. Groups share their models and the class identifies which variables matter most.
Analyze how high population density affects the quality of life in megacities.
Facilitation TipDuring Data Analysis: Density vs. Quality of Life, ask students to calculate density per square kilometer, not per square mile, to normalize comparisons across countries with different units.
What to look forPose the question: 'If a region has high population density but also high technological development and extensive trade networks, how does this affect its carrying capacity compared to a region with low density but limited technology?' Students should use specific examples to support their arguments.