Abstract
For the sustainable development of a country or a city, it is important to know the accurate idea of the population of that region. The local authorities can easily implement their various development plans if they know the future scenario of the population. This study aims to forecast the population of Sylhet City Corporation, which was transformed into a city corporation 20 years ago. Three frequently used and popular methods of population forecasting Arithmetic Increase Method, Geometric Increase Method, and Incremental Increment Method are used to forecast the population. Population data from 2001 to 2015 are used to train and data from 2016 to 2021 are used to verify the methods. The average percentage of error of these three methods is about 3%. Among the three methods, the Geometric Increase Method provides the best result with a percentage of error of 0.15655%.
Keywords
References
- Kabir, M. and Chowdhury, A. A.(1982). Population Growth and Food Production in Bangladesh, Rural Demography, IX (1 & 2): 25-56Google Scholar ↗
- Mallick, A. A. (1980), Implausibility of Attaining Zero Population Growth in Banthin Next 100 Years, Rural Demography, VII (1 & 2): 33-39Google Scholar ↗
- Beekman, J. A.(1984), Population and Social Security Projection Techniques, Rural Demography”, XI (1 & 2): 1-20.Google Scholar ↗
- Rahman, M. M. (1993), National Growth Rate Method with Varying Internal Migration Rate, The Bangladesh Development Studies, XXI (2): 73-76.Google Scholar ↗
- Wilson, T., Brokensha, H., Rowe, F., and Simpson, L. (2018). Insights from the evaluation of past local area population forecasts. Population Research and Policy Review 37(1): 137–155. doi:10.1007/s11113-017-9450-4.DOI ↗Google Scholar ↗
- Rayer, S. (2008). Population forecast errors: A primer for planners. Journal of Planning Education and Research 27(4): 417–430. doi:10.1177/0739456X07313925.DOI ↗Google Scholar ↗
- Rayer, S. and Smith, S.K. (2014). Population projections by age for Florida and its counties: Assessing accuracy and the impact of adjustments. Population Research and Policy Review 33(5): 747–770. doi:10.1007/s11113-014-9325-x.DOI ↗Google Scholar ↗
- Statistics New Zealand (2008). How accurate are population projections? An evaluation of Statistics New Zealand population projections, 1991–2006. Wellington: Statistics New Zealand. http://archive.stats.govt.nz/browse_for_stats/population/ estimates_and_projections/how-accurate-are-population-projections.aspx.Google Scholar ↗
- Tayman, J. (2011). Assessing uncertainty in small area forecasts: State of the practice and implementation strategy. Population Research and Policy Review 30(5): 781–800. doi:10.1007/s11113-011-9210-9.DOI ↗Google Scholar ↗
- Yamauchi, M., Koike, S., and Kamata, K. (2017). How accurate are Japan’s official subnational projections? Comparative analysis of projections in Japan, Englishspeaking countries and the EU. In: Swanson, D.A. (ed.). The frontiers of applied demography. Dordrecht: Springer: 305–328. doi:10.1007/978-3-319-43329- 5_15.DOI ↗Google Scholar ↗
- Chi, G., Zhou, X. & Voss, P.R. (2011). Small-area population forecasting in an urban setting: a spatial regression approach. J Pop Research 28:185–201. https://doi.org/10.1007/s12546-011-9053-6DOI ↗Google Scholar ↗
- Manojkumar Tiwari (2018) , Waste water generation and quantity estimation, Week 2, Lecture 6, NPTEL, IIT KharagpurGoogle Scholar ↗
- Hoque, M. A., Ahmed, F. and Sarker, M. M. (1995): An Estimation of future population of Bangladesh, Journal of Statistical Studies of Jahangir nagar University. 15:75-88.Google Scholar ↗
- Ara, S(2014). Impact of Temporal Population Distribution on Earthquake Loss Estimation: A Case Study on Sylhet, Bangladesh. Int J Disaster Risk Sci 5: 296–312 .https://doi.org/10.1007/s13753-014-0033-2DOI ↗Google Scholar ↗