Peculiarjoseph/What-Drives-Youth-Unemployment-in-Nigeria-An-Economic-Social-Indicators-Analysis-2000-2024-

An end-to-end data analytics project investigating the relationship between youth unemployment and key economic and development indicators in Nigeria using the World Bank API, Python, statistical analysis, and Power BI. # What-Drives-Youth-Unemployment-in-Nigeria-An-Economic-Social-Indicators-Analysis-2000-2024- An end-to-end data analytics project investigating the relationship between youth unemployment and key economic and development indicators in Nigeria using the World Bank API, Python, statistical analysis, and Power BI. ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- ## Project Overview Youth unemployment remains an important economic and social challenge in Nigeria. However, unemployment does not exist in isolation, it can be influenced by broader economic conditions, investment, and infrastructure development. This project investigates the relationship between Youth Unemployment and selected economic and development indicators in Nigeria between 2000 and 2024. The analysis combines: API data collection Python data analysis Exploratory Data Analysis Correlation analysis Multiple Linear Regression Regression diagnostics HAC robust regression Power BI dashboard development. ## Research Question What economic and social indicators are associated with youth unemployment in Nigeria? The project investigates the relationship between youth unemployment and: GDP Growth Inflation Foreign Direct Investment (FDI) Internet Usage Electricity Access. ## Executive Summary Using 25 years of World Bank data (2000–2024), this analysis explored the relationship between youth unemployment and selected economic and development indicators in Nigeria. ### Key findings: i. GDP Growth showed a statistically significant negative association with youth unemployment. ii. Inflation also showed a statistically significant negative association with youth unemployment in the final model. iii. Foreign Direct Investment (FDI) was not statistically significant in the final regression model. iv. Electricity Access was not statistically significant in the …