South African youth unemployment analysis using StatsSA data — policy briefing and data visualisation
# SA Youth Unemployment Analysis
### A Data & Policy Briefing — Gauteng Context
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## Project Overview
An analysis of South African youth unemployment trends from 2015–2024
using StatsSA Quarterly Labour Force Survey (QLFS) data. The project
produces a data-driven policy briefing examining the structural gap
between youth and general unemployment, the impact of COVID-19, and
recommendations for targeted intervention.
## Business Questions Answered
- How has youth unemployment (ages 15–34) trended over the past decade?
- How does youth unemployment compare to general unemployment?
- What was the measurable impact of COVID-19 on youth employment?
- Has the post-COVID recovery been sufficient?
- What policy interventions could reduce the gap?
## Key Findings
- Youth unemployment peaked at **46.6% in 2021** — nearly half of
young South Africans could not find work
- COVID-19 caused a **7.9 percentage point spike in a single year**
(2019: 38.4% → 2020: 46.3%)
- The gap between youth and general unemployment has **never fallen
below 9.3 percentage points** in the decade studied
- By 2024 youth unemployment remains at **45.5%** — no meaningful
long-term recovery from pre-pandemic levels
- General unemployment also worsened — rising from 25.5% (2015)
to 33.5% (2024)
## Files
| File | Description |
|------|-------------|
| `SA_Youth_Unemployment_Analysis.xlsx` | Data tables and charts |
| `SA_Youth_Unemployment_Policy_Brief.pdf` | Formatted policy briefing |
| `SA_Youth_Unemployment_Policy_Brief.docx` | Word version of briefing |
## Tools Used
- Google Sheets & Microsoft Excel
- StatsSA QLFS data (2015–2024)
- Microsoft Word for policy document
## Data Source
StatsSA Quarterly Labour Force Survey (QLFS) — official South African
labour market statistics published quarterly by Statistics South Africa.
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*Prepared by Bongani Mashiane — BCom Business Informatics (UNISA)*
*Portfolio:
github.com