Mathematical Comparative study of Nigeria’s Northern and Southern Population Growth for Equitable Resource Allocation and Holistic National Development

Authors

  • Michael A. Uko Usmanu Danfodiyo University, Sokoto.
  • Joseph Adikwu Benue State Polytechnic Ugbokolo
  • Friday Adejoh Benue State Polytechnic Ugbokolo.

DOI:

https://doi.org/10.57233/ijsgs.v10i1.606

Keywords:

population growth, Malthusian growth model, Geometric, MAPE

Abstract

Nigeria is one of the developing countries having a humongous population growth. Knowing the population size and growth of her geopolitical zones are becoming importance especially to government as size of a population is good parameter for economic development. The aim of this study is to compare the Nigeria’s Northern and Southern population growth for equitable revenue allocation and holistic national development. To achieve this, helpful mathematical models such as Malthusian and Geometric are used to predict each zone. And the results of these models are validated using mathematical model called Mean Absolute Percentage Error (MAPE). Analysis revealed that Northern population is better predicted using exponential growth model and population is estimated to be 131062796 in 2022 with the growth rate 3.67%. On the other hand, Geometric model predicts Southern population better, with the estimate population 110779180 in 2022 and the growth rate of 3.2%.

Author Biographies

Michael A. Uko, Usmanu Danfodiyo University, Sokoto.

Department of Mathematics,

Usmanu Danfodiyo University, Sokoto.

Joseph Adikwu, Benue State Polytechnic Ugbokolo

Department of Mathematics/Statistics,

Benue State Polytechnic Ugbokolo

Friday Adejoh, Benue State Polytechnic Ugbokolo.

Department of Mathematics/Statistics,

Benue State Polytechnic Ugbokolo.

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Published

2024-03-31

How to Cite

Uko, M. A. ., Adikwu, J. ., & Adejoh, F. . (2024). Mathematical Comparative study of Nigeria’s Northern and Southern Population Growth for Equitable Resource Allocation and Holistic National Development. International Journal of Science for Global Sustainability, 10(1), 161–168. https://doi.org/10.57233/ijsgs.v10i1.606