Because the figures come from the same records that run admissions, attendance and results, what a school submits matches what it actually operates — which is the central data quality problem in Nigerian education statistics.
The data quality problem
Nigerian education planning depends on the annual school census and the returns that feed NEMIS and state EMIS systems. Anyone who has worked with that data knows its weakness, and it is not a technology problem.
It is that returns are compiled separately from operations. A form arrives, someone assembles figures from registers, memory and estimation, and submits them. The figures are not fabricated but they are reconstructed, and reconstruction under deadline pressure produces error in a predictable direction.
Enrolment is rounded up. Pupils who left mid-session are still counted. Teacher qualification data reflects what was true two years ago. Infrastructure counts include a block that is no longer usable. And because nothing downstream checks it, the error persists into the planning that depends on it.
Generated, not compiled
Edves produces returns from the operational record. Enrolment is the count of pupils actually enrolled on the reference date, because that is the same number the fee ledger and the class register use. Teacher data comes from staff records maintained for payroll. Attendance comes from registers taken daily.
The figures cannot drift from operations, because they are the operations.
What is covered
| Data area | Detail |
|---|---|
| Enrolment | By class, age, sex, and stream, with new intake, transfers and withdrawals |
| Attendance | Daily and periodic, aggregated by class and school |
| Staffing | Teaching and non-teaching, by qualification, subject specialism, TRCN registration status and deployment |
| Infrastructure | Classrooms, laboratories, libraries, water and sanitation, power, and condition |
| Learning materials | Textbook and materials availability by subject and class |
| Performance | Internal assessment and external examination results |
| Equity disaggregation | By sex, and by special educational needs where recorded |
| Transition | Progression, repetition and dropout between classes and stages |
For state ministries and SUBEBs
Where a state deploys Edves across its schools, the reporting picture changes shape entirely. Instead of an annual census assembled upward from paper, a ministry sees:
- Enrolment by school, ward and LGA, updated continuously rather than annually.
- Teacher deployment against need, which is where the most consequential planning failures occur — a state can hold the correct total number of Mathematics teachers and have them in the wrong schools.
- Attendance and dropout patterns by school and ward, so intervention targets the schools actually losing pupils.
- Infrastructure against enrolment, identifying overcrowding and underuse concurrently.
- Learning outcomes comparable across schools on the same assessment basis.
See state education programmes.
UBEC and SUBEB monitoring
Universal Basic Education programme monitoring, intervention fund utilisation and school improvement plan tracking all draw on the same underlying data. Where the operational record is sound, monitoring becomes a reporting exercise rather than a field verification exercise.
Private schools
Private schools carry reporting obligations to state ministries for approval, registration and periodic returns, and these are frequently handled as an annoyance at the last minute. Producing them from the operational record removes the exercise and, more usefully, removes the discrepancies between what a school reports to different authorities.
A caution about comparability
Better school-level data does not automatically produce better state-level statistics. If half a state’s schools report from operational systems and half reconstruct from paper, the aggregate is a mixture of two very different data qualities and comparing schools across that boundary is misleading.
States rolling out systems progressively should be explicit about this in their own analysis rather than treating all returns as equivalent. It is the sort of thing that produces confident conclusions about school performance that are really conclusions about reporting method.
Formats change
Return formats, indicator definitions and submission cycles are set by the Federal Ministry of Education, NEMIS and individual state ministries, and they change. Confirm current requirements with the relevant authority. Edves maintains the mapping as formats are revised rather than leaving schools to reformat.