Insights briefing
Freshness-weighted, aggregate only, reproducible. Every figure below is computed from the live register at the moment of printing; cohorts smaller than the anonymity floor are suppressed, never estimated. No personal data appears in this document.
01Headline
live registerSebenza LMI 0.10. Freshness bands: fresh within 30 days, ageing to 90 days, stale beyond.
02Data freshness
of 39| Fresh | 8 | 21% |
| Ageing | 7 | 18% |
| Stale | 24 | 62% |
03By employment status
freshness-weighted| Uvulekele umsebenzi | 22 | 43% |
| Uyaphangela | 10 | 40% |
| Uyafunda | 4 | 53% |
| Akaphangeli | 3 | 87% |
| Uziqeshile | 0 | 0% |
04Skills gap · demand vs supply
top 20 · ranked by unfilled demand| Skill / profession | Searches | Supply | Gap | 7-day Δ |
|---|---|---|---|---|
| Software Developer | 195 | 19 | +176 | – |
| Chef | 154 | 4 | +150 | – |
| Electrician | 135 | 1 | +134 | – |
| Nurse | 109 | 1 | +108 | – |
| Pharmacy Assistant |
05Supply heatmap · province × profession
top 5 provinces · top 6 professions| Province | Software Developer | Chef | Help Desk / IT Support | Electrician | Administrative Clerk | Cleaner |
|---|---|---|---|---|---|---|
| Gauteng | 16 | 1 | 1 | 1 | ||
| Western Cape | 3 | 4 | 2 |
06Skill-level demand
top 12 · controlled vocabulary| UI design | 14 / 0 | +14 |
| HR administration | 2 / 0 | +2 |
| Lease administration | 2 / 0 | +2 |
| Medication administration | 2 / 0 | +2 |
| Pre-delivery inspection | 2 / 0 | +2 |
| Training delivery | 2 / 0 | +2 |
| Windows administration | 2 / 0 | +2 |
07Education-to-employment outcomes
anonymity floor k = 10| Programme · institution · province · year | Cohort | Placed | Rate | Median days |
|---|---|---|---|---|
| BSc Computer Science · University of the Witwatersrand · Gauteng · 2026 | 13 | 11 | 85% | 809 |
17 consented profiles in source · 4 cohort(s) suppressed under the floor. Employer-confirmed placements only.
08Did the hires stick?
placement truth · the tailNot enough confirmed placements have reached the first milestone yet to publish a retention figure. The dataset grows as employers log and check in on hires.
09Registrations and confirmed placements
by month| Month | Registrations | Placements |
|---|---|---|
| 2026-05 | 0 | 4 |
| 2026-06 | 0 | 2 |
| 2026-07 | 2 | 0 |
| 2026-08 | 10 | 0 |
| 2026-09 | 3 | 0 |