QUALITATIVE ANALYSIS OF DEMOGRAPHIC PERSPECTIVE AND HUMAN POPULATION MODEL WITHIN BANGLADESH AND SRI LANKA
This article presents projections of the future population growth in Bangladesh and Sri Lanka, along with a comparative analysis of the demographics of these two countries. Based on our projections, the projected population of Bangladesh in 2060 is estimated to be around 211 million, while the population of Sri Lanka is projected to be around 356 million. The exponential expansion of the global population represents one of the most formidable challenges facing humanity, profoundly impacting individual well-being while compelling transformative adaptations within societal frameworks and governmental institutions. Moreover, we have computed a forecast for the next period and included a demographic evaluation of the rural populations and crime rates of both nations in this piece. This study critically examines the precision and applicability of three mathematical frameworks, namely, the least squares model, the logistic growth model, and the Malthusian (exponential growth) model, in forecasting population dynamics within Bangladesh and Sri Lanka by the conclusion of the twenty-first century. Even though transgender individuals are recognized as the third gender, the appropriate statistics are not yet available. In addition, the study presents a speculative analysis of how the state has addressed the growth of its population in previous instances and how it would address it in coming years.
Authors
- Tania Rahman (ORCID: https://orcid.org/0000-0002-6398-3214)
- Pinakee Dey (ORCID: https://orcid.org/0000-0003-1263-6789)
- Shuvo Sarker
- Adham Abhi
- Asif Hasan (ORCID: https://orcid.org/0000-0002-9778-6577)
- Ankur Adhikary (ORCID: https://orcid.org/0009-0004-3632-2279)
- Sharmin Sultana (ORCID: https://orcid.org/0000-0001-6791-1683)
- Rezaul Karim (ORCID: https://orcid.org/0000-0002-3986-2068)
- Md. Monower Anjum Niloy
Publication Details
- Journal
- JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES
- Published
- 2024-12-12
- DOI
- https://doi.org/10.26782/jmcms.2024.12.00009
- Primary Topic
- Agricultural risk and resilience
- Type
- article
- Field-Weighted Citation Impact
- 0.00