Mathematical model for Tanzania population growth
Article published by Tanzania Journal of Science / Vol. 45 No. 3 (2019) on African Journals Online (AJOL)
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| Format: | Article |
| Language: | English |
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Tanzania Journal of Science
2024
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| Online Access: | https://www.ajol.info/index.php/tjs/article/view/191174 https://scholar.mzumbe.ac.tz/handle/123456789/600 |
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| author | Mwakisisile, Andongwisye Mushi, Allen R. |
| author_facet | Mwakisisile, Andongwisye Mushi, Allen R. |
| author_sort | Mwakisisile, Andongwisye |
| collection | DSpace |
| description | Article published by Tanzania Journal of Science / Vol. 45 No. 3 (2019) on African Journals Online (AJOL) |
| format | Article |
| id | oai:41.59.85.69:123456789-600 |
| institution | Mzumbe University |
| language | English |
| publishDate | 2024 |
| publisher | Tanzania Journal of Science |
| record_format | dspace |
| spelling | oai:41.59.85.69:123456789-6002024-08-13T11:00:31Z Mathematical model for Tanzania population growth Mwakisisile, Andongwisye Mushi, Allen R. Population growth Exponential model Logistic model Carrying Capacity. population Article published by Tanzania Journal of Science / Vol. 45 No. 3 (2019) on African Journals Online (AJOL) In this paper, a mathematical model for Tanzania population growth is presented. The model is developed by using exponential and logistic population growth models. Real data from censuses conducted by Tanzania National Bureau of Statistics (NBS) are used. The Tanzania growth rate is obtained by using data of 1967 and 2012 censuses. The prediction of population for the period of 2013 to 2035 is done. Numerical results show that the population grows at the rate of 2.88%. In 2035 the population is expected to be 87,538,767 by exponential model and 85,102,504 by logistic model. The carrying capacity is 2,976,857,550, which implies that the population will still grow faster since it is far from its limiting value. Comparisons of the models with real data from the five censuses are done. Also NBS projections are compared with populations predicted by the two models. Both comparisons show that the exponential model is performing better than logistic model. Also, the projection up to 2050 gives the population of 135,244,161 by exponential model and 131,261,794 by logistic model. Private 2024-04-15T09:49:31Z 2024-04-15T09:49:31Z 2019 Article APA 2507-7961 https://www.ajol.info/index.php/tjs/article/view/191174 https://scholar.mzumbe.ac.tz/handle/123456789/600 en application/pdf Tanzania Journal of Science |
| spellingShingle | Population growth Exponential model Logistic model Carrying Capacity. population Mwakisisile, Andongwisye Mushi, Allen R. Mathematical model for Tanzania population growth |
| title | Mathematical model for Tanzania population growth |
| title_full | Mathematical model for Tanzania population growth |
| title_fullStr | Mathematical model for Tanzania population growth |
| title_full_unstemmed | Mathematical model for Tanzania population growth |
| title_short | Mathematical model for Tanzania population growth |
| title_sort | mathematical model for tanzania population growth |
| topic | Population growth Exponential model Logistic model Carrying Capacity. population |
| url | https://www.ajol.info/index.php/tjs/article/view/191174 https://scholar.mzumbe.ac.tz/handle/123456789/600 |
| work_keys_str_mv | AT mwakisisileandongwisye mathematicalmodelfortanzaniapopulationgrowth AT mushiallenr mathematicalmodelfortanzaniapopulationgrowth |