SibaSnlv/sa-labour-market-dashboard
Domaine:
socioeconomicType de record:
software
Créateur:
Sib
Hôte:
South African Labour Market Analytics Dashboard: Power BI, Python pipeline, Stats SA QLFS 2008–2026
# South African Labour Market Analytics Dashboard
A six-page interactive Power BI dashboard built on real Stats SA Quarterly
Labour Force Survey data (2008–2026 Q1), combining a Python data cleaning
pipeline, DAX time intelligence measures, and linear regression projections
to analyse South African unemployment across provinces, sectors, youth
demographics, and a 2-year forward outlook.
> **To interact with the dashboard:** Download
> `SA_Labour_Market_Analytics_Dashboard.pbix` and open it in
> Power BI Desktop
> (free). No account required.
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## Dashboard Pages
| Page | What it shows |
|---|---|
| National Overview | 4 KPI cards, unemployment trend line, industry treemap, province slicer |
| Provincial Analysis | Filled map, province ranking bar chart, GDP vs unemployment scatter plot, time series |
| Youth Focus | Youth vs overall trend, gender breakdown line chart, NEET by province |
| Sector Analysis | Sector employment trends, YoY growth ranking, province × sector matrix |
| Projections | 8-quarter linear regression forecast per province with confidence bands, trend summary table |
| Key Insights | 5 written analytical findings drawn directly from the data |
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## Screenshots
### National Overview
### Provincial Analysis
### Youth Focus
### Sector Analysis
### Projections
### Key Insights
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## Key Findings
- South Africa's unemployment rate averaged **28.3%** across all provinces
from 2008 to 2026 Q1, masking a 16 percent gap between
Western Cape (consistently below 22%) and Eastern Cape and Limpopo
(consistently above 38%).
- Youth unemployment (15-34) averaged **40.3% nationally**, approximately
12 percent above the overall rate, with no meaningful closing
of the gap since 2012, indicating structural barriers rather than
cyclical economic factors.
- Women face consistently higher unemployment than men (3-4pp gap
nationally), with the gap widening during economic contractions (2009,
2020) and narrowing during recoveries.
- Mining emp …