With the development of societies, the demographic structures of each country are changing rapidly. Many countries are currently facing aging populations and labor shortages. There are also countries experiencing gender inequalities and other issues which lead to an unequal population by gender. Not only are these problems evident in developing countries, many developing countries are currently experiencing such problems and challenges as well. Therefore, it is important to understand the relationship between economic development and change of demographic structures so that policy makers in developed and developing countries can establish the most suitable policy for the country accordingly. This project is focusing on analyzing and visualizing the GDP and demographic structure data for countries all over the world in the past two decades (2000-2020).
      Given that demographic and economic issues have always been one of the hottest topics in sociology, there have been many studies on this subject in the past. For example, E. Wesley F. Peterson has conducted a research on the Role of Population in Economic Growth on October 11, 2017. He drew on historical data to chart the links between population growth, growth in per capita output, and overall economic growth over the past 200 years. He came to the conclusion that Low population growth in high-income countries is likely to create social and economic problems while high population growth in low-income countries may slow their development.
      In contrast to previous studies, our project divides countries into developed and developing categories to explore their respective demographic and economic status and relationships.
      We try to help policymakers to get a better understanding of the relationship between economic development and demographic structure change.
      Our data is from Population and GDP Dataset and Geographic Dataset. It contains positional information (Latitude_Average, Longitude_Average) of countries, indicators related to economic development (GDP_current_US, Final_consumption_expenditure_current_US), and population data grouped by 5-year age groups and gender groups (e.g. Population_ages_0-4_female, Population_ages_5-9_male, etc.), birth/death rate (Birth_rate, Death_rate), and total population (Population_total) for 266 countries. We also counted the gdp per capita of each country based on the available population and GDP information, and classified them into developed and developing countries based on the World Bank's criteria for subsequent comparison and analysis.