The health of the national dataset in real time — completeness, timeliness and validation flags by state, so gaps get closed before reports go out.
| State | Issue | Records | Severity | |
|---|---|---|---|---|
| Hirshabelle | Pupil–teacher ratio outlier (>1:90) | 8 | High | |
| South West | Missing attendance fields | 96 | Medium | |
| Bay | Duplicate school IDs | 12 | Medium | |
| Jubaland | Enrolment vs capacity mismatch | 21 | Low |