Abstract:

Using a mixed-method approach that combines quantitative and qualitative analysis, this study investigates the complex relationship between inflation, poverty, and hunger in Nigeria from 2013 to 2023. Secondary data sources, including reports from the Central Bank of Nigeria (CBN), the World Bank, and the National Bureau of Statistics (NBS), are used in the quantitative analysis. Inflation, poverty, and hunger are strongly positively correlated, according to important statistical methods like trend analysis, correlation, regression analysis, and time series forecasting (2024–2030). According to the results, a 1% increase in inflation causes a 1.11% increase in poverty, indicating that inflation is a major cause of economic suffering. Furthermore, hunger is directly impacted by poverty; for every 1% increase in poverty, the hunger index rises by 0.58 points. By 2030, time-series estimates indicate that the economy would continue to deteriorate, with inflation topping 30%, poverty exceeding 61%, and hunger reaching crisis proportions. This study emphasizes how important macroeconomic stability is to enhancing societal wellbeing and gives policymakers data-driven insights to carry out long-term economic reforms.