Volume 6, Issue 2, April 2018, Page: 58-64
Matrix Dynamics of Migration Trends of Rural-Urban Population in Ghana
Lewis Brew, University of Mines and Technology, Department of Mathematical Sciences, Tarkwa, Ghana
Joseph Acquah, University of Mines and Technology, Department of Mathematical Sciences, Tarkwa, Ghana
Francis Nyarko, University of Mines and Technology, Human Resource Unit, Tarkwa, Ghana
Amidu Mohammed, University of Mines and Technology, Department of Mathematical Sciences, Tarkwa, Ghana
Received: Apr. 24, 2018;       Accepted: May 14, 2018;       Published: May 25, 2018
DOI: 10.11648/j.sjams.20180602.12      View  1576      Downloads  96
This paper studies the migration trends of rural and urban populations in Ghana. The matrix method approximately determines the new population percentage values of rural and urban areas in Ghana from 2016 to 2020. The 2015 rural and urban population values were used as initial values for the projection of the other subsequent population values. The graph matrix and clustered column chart examined the trends relationship between rural and urban populations. The emerging trends of population migration at the rural and urban areas were discussed. The method revealed the upward and downward trends of populations in urban and rural areas. The accuracy of the method is proven by comparing the estimated results from the matrix method with those obtained from the website of index mundi in the literature. On the bases of these findings, the paper recommends the steps to be taken by the government and other policy makers in Ghana to avert excessive migration flow in the urban and rural areas respectively.
Algebraic Matrix Method, Population Migration, Rural and Urban Areas, Graph Matrix
To cite this article
Lewis Brew, Joseph Acquah, Francis Nyarko, Amidu Mohammed, Matrix Dynamics of Migration Trends of Rural-Urban Population in Ghana, Science Journal of Applied Mathematics and Statistics. Vol. 6, No. 2, 2018, pp. 58-64. doi: 10.11648/j.sjams.20180602.12
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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