Employment insights
Freshness-weighted. Aggregate only. Updated continuously.
Data freshness
Of 24 active profilesConfirmed in the last 30 days
30–90 days since confirmation
90+ days · down-ranked in search
By employment status
Freshness-weighted| Status | Count | Freshness confidence |
|---|---|---|
| Open to work | 15 | 60% |
| Unemployed | 0 | 0% |
| Employed | 7 | 55% |
| Self-employed | 0 | 0% |
| Studying | 2 |
Skills gap · demand vs supply
Ranked by unfilled demandEvery employer search writes to search_events; every profile contributes freshness-weighted supply. Where demand outstrips supply is where Sebenza can direct training, learnership intake, and policy attention.
| Skill / profession | Searches | Matches | Fresh matches | Gap | Δ 7d |
|---|---|---|---|---|---|
| Software Developer | 73 | 16 | 9.6 | +57 | |
| Electrician | 21 | 1 | 0.6 | +20 |
Supply heatmap · province × profession
Top 3 provinces · top 6 professionsWhere the people are. Darker = more supply; cells with no data shown blank.
Skill-level demand · top 12
Controlled-vocabulary skillsSister view to the profession-level table: which individual skills show up most in employer searches, and how many people on Sebenza carry them. The most unfilled rows are where bursary / SETA investment moves the needle fastest.
- +2Code 08 driver's licence2 searches · 0 people carry
- +2Code 10 driver's licence2 searches · 0 people carry
- +2Code 14 driver's licence2 searches · 0 people carry
- 0AWS0 searches · 0 people carry
- 0Baking0 searches · 0 people carry
Education-to-employment outcomes
Cohort dimensions only. Suppression floor: ≥ 10 consented profiles per cell. Employer-confirmed placements only.
| Programme | Institution | Province | Grad year | Cohort | Placed | Rate | Median days to hire | Top destination |
|---|---|---|---|---|---|---|---|---|
| BSc Computer Science | wits | Gauteng | 2026 | 13 | 11 | 85% | 809 | Software developer |
14 consented profiles in source · 1 cohort suppressed · primary + complementary k-anonymity floor
Did the hires stick?
Of the Sebenza-confirmed placements that made it to each milestone, how many were still active at that mark. Per- cell suppression at k = 10 employer privacy is held; the national picture stays honest.
Registrations & confirmed placements
Skills in demand vs. matches
When the teal bar dwarfs the clay bar, that is a national skills gap. The biggest gap drives the policy slide.
When searches dwarf matches, we have a skills gap. This is the policy lever.
Export aggregate (CSV)
Exports are aggregate only. No personal data leaves the system. Every export is logged. Every export writes an analytics.export audit row.
