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Original Research

ANALYZING AND PROJECTION OF FORECASTING POPULATION OF BANGLADESH USING EXPONENTIAL MODEL, LOGISTIC MODEL, AND DISCRETE LOGISTIC MODEL

HASAN AL MAMUN 1, MD. EAQUB ALI 2, KANAK CHANDRA ROY 3, REZAUL KARIM 4, NASIR UDDIN 5, and PINAKEE DEY 6.

Vol 18, No 02 ( 2023 )   |  DOI: 10.17605/OSF.IO/S5UCD   |   Author Affiliation: Department of Mathematics, Mawlana Bhashani Science and Technology University, Tangail, Bangladesh 1,4,5,6; Department of Mechanical Engineering, Sonargaon University, Green Road, Dhaka, Bangladesh 2; Department of Applied Mathematics, Gono Bishwabidyalay, Savar, Dhaka, Bangladesh 3.   |   Licensing: CC 4.0   |   Pg no: 187-202   |   Published on: 13-02-2023

Abstract

Bangladesh has an excessively high population. With the eighth-highest population in the world, it is located in South Asia. The extreme population is currently one of Bangladesh's most significant issues. Therefore, the nation is greatly threatened by the growing population, which is why it is crucial to project Bangladesh's population growth. To forecast the future population, this study's models and designs are important for Bangladesh's population forecasting. Using actual data from 2001 to 2022 and U.N. forecasts from 2023 to 2100, the exponential, logistic growth, and discrete logistic models are used to anticipate Bangladesh's population from 2001 to 2100. By the exponential model, the expected population of Bangladesh is 863.30 million in 2100, and the growth rate is anticipated to be around 2%. Thus, based on the logistic model, Bangladesh's population growth rate has been anticipated to be around 4%, and in 2100, the country is expected to have a total population of 261.43 million. Finally, the discrete logistic model estimates Bangladesh's population growth rate to be around 4%, and the total predicted population of Bangladesh will be 179.798 million in 2100.


Keywords

Absolute Percentage Error, Carrying Capacity, Discrete Logistic Model, Exponential Model, Forecasting Population, Growth Rate, Logistic Model, Mean Absolute Percentage Error (MAPE).