Browsing by Author "Nurain Arju"

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    Predicting age-specific female population of Bangladesh in 2026 using the leslie matrix model
    (Department of Mathematics, BUET, 2024-02-17) Nurain Arju; Farid Uddin Ahmed, Dr. Khandker
    Bangladesh is one of the most densely populated countries in the world. According to the preliminary census report of Bangladesh Census and Household Census 2022, at the period of the census in 2022 population of Bangladesh in total is 16,51,58,616. Among them, the total number of females and males is 8,33,47,206 and 8,17,12,824, respectively. As a country’s equilibrium in environment, economics, and even administration is highly influenced by its population, these demographic data are essential for a well-regulated impact. Population projection aids in obtaining a country’s desired population for its overall prosperity. A widely used model to project the population is the Leslie matrix model. In this work, by using female survival and birth rates, the Leslie matrix model is applied to predict the age-specific female population and population growth of Bangladesh in 2026. The eigenvalues of the Leslie matrix are used to calculate the female population growth rate, where the principal eigenvalue is taken as the desired growth rate and the eigenvector is used to obtain the number of age-specific female populations. According to this research, the female population of Bangladesh will increase with a growth rate of 1.22 (approximately).