lucianompilo3-cyber/mind-the-gap-sa-employment

Analysis of South African provincial unemployment trends using Stats SA QLFS Q1 2026 data. Built with Python and Power BI. # Mind the Gap: Analysing Graduate Employability in South Africa ## Project Overview This project analyses provincial unemployment trends in South Africa using Stats SA QLFS Q1 2026 data. ## Key Findings - Eastern Cape has the highest unemployment at 44.6% - Western Cape has the lowest at 19.6% - National average stands at 33.4% - Eastern Cape worsened the most year-on-year (+5.3 percentage points) ## Tools Used - Python (pandas, matplotlib) - Google Colab - Microsoft Power BI ## Data Source Statistics South Africa - Quarterly Labour Force Survey Q1 2026 (P0211) ## Author Nompilo Mabaso | Masters in Industrial Sociology | UCT