thwalan293-glitch/South-Africa-Unemployment-Analysis

Interactive Power BI dashboard analyzing unemployment trends in South Africa by gender, race, and geography type using Statssa quartely labour force survey 2026 data # South-Africa-Unemployment-Power BI-Analysis Interactive Power BI dashboard analyzing unemployment trends in South Africa by gender, race, and geography type using Statistics South Africa quartely labour force survey 2026 data. ## The analysis focuses on: - Unemployment by gender - Unemployment by race group - Population distribution by gender - Unemployment by geography type - Overall Unemployment rate ## Tools Used - Microsoft Power BI - Excel/CSV dataset ## Dashboard Features - KPI Cards - Visualisations - Interactive Slicers ## Key Insights - Females show a slighty higher unemployment rate compared to Males - African/Black populations experience the highest unemployment levels - Urban and Traditional settlements areas show higher unemployment rates compared to Farms - The unemployment rate in the dataset is approximately 32.57% ## Dataset Source Dataset obtained from Statistics South Africa # Author Nosipho Thwala