This project focuses on classifying the stage of the demographic transition model (DTM) for a particular country. The DTM focuses on historical population trends of two demographic variables: the birth rate and death rate. These two variables play a role on the economic and human development within a country. Specifically, there are four stages that each country will go through.
- Stage 1 (Pre-industrial stage)
- Stage 2 (Transition stage)
- Stage 3 (Industrial stage)
- Stage 4 (Post-industrial stage)
Classifying these stages can provide a lot of detail on how a country is going to develop in the future. We hope to provide this project as an educational and research tool that leads us into a brighter future. For example, many interdisceplinary classes go over this topic and this project can help students visualize DTM so that they can progress in their fields and make a positive difference.
As a trial for our project, we decided to do a case study for five countries (USA, China, UK, India, and Russia). We hope to improve our technology by expanding the domain of countries.
https://www.populationpyramid.net/
https://populationeducation.org/what-demographic-transition-model/
- tkinter
- ttkthemes
- matplotlib
- csv
- requests
- pandas
- matplotlib.pylot
Make sure to git clone this repository. After cloning, make sure all mentioned packages are installed and the program is ready for use!
- Manas Bommakanti
- Aryan Jain
- Roshan Raj
- Shrinivas Venkatesan