Poverty data in Sierra Leone

Published: 30 October 2023| Version 1 | DOI: 10.17632/mbcjkyx88w.1
Solomon Caulker


The dataset includes literacy rate, Poverty rate, and Hunger statistics in Sierra Leone. This dataset is a World Bank data obtained from a macroeconomic trend data website. The dataset was cleaned before being used to visualize trends and calculate important metrics. It was collected from the website using R software and did some initial exploratory analysis in excel, but the actual analysis was done in R. I tested the hypothesis for normality and this was rejected and so I calculated the annual change from the given percentage population in the data. I did the same for all the dimensions of poverty analyzed in the Journal. The data is accurate and reliable but only available for nine years (2001-2020) for the hunger statistics, and a few years for the other dimensions of poverty. I was able to determine the trend that followed my poverty analysis in Sierra Leone. Because the information needed to process the data was within my reach , I was able to use the data efficiently to make meaningful analysis and policy recommendations. The results of the trend analysis help to provide a hallmark model from which meaningful econometric concepts were observed. This enables me to monitor and repeat a re-run of the dataset in R to verify the trends and descriptive statistics calculated in excel. The trend and metrics calculated shows a high rate of poverty in all the poverty dimensions mentioned in the research work. The handling of the data in these ways was helpful to achieve excellent data analysis and better recommendations that may require government interventions to stimulate and stabilize the economy.



Economic Development, Descriptive Statistics, Analysis of Poverty, Government Policy regarding Poverty, Applied Economics, Trend Analysis