electricsheepafrica/nigerian_education_jamb_utme_scores

Nigeria Education – JAMB UTME Scores

Dataset Description

JAMB UTME scores by subject combination, course choice, and state.

Category: Student Performance & Exams
Rows: 300,000
Format: CSV, Parquet
License: MIT
Synthetic: Yes (generated using reference data from WAEC, JAMB, UBEC, NBS, UNESCO)

Dataset Structure

Schema

• student_id: string
• exam_year: integer
• state: string
• course_choice: string
• subject_1: string
• score_1: integer
• subject_2: string
• score_2: integer
• subject_3: string
• score_3: integer
• subject_4: string
• score_4: integer
• total_score: integer

Sample Data

| student_id   |   exam_year | state   | course_choice   | subject_1        |   score_1 | subject_2   |   score_2 | subject_3   |   score_3 | subject_4   |   score_4 |   total_score |
|:-------------|------------:|:--------|:----------------|:-----------------|----------:|:------------|----------:|:------------|----------:|:------------|----------:|--------------:|
| STU-0229311  |        2022 | Bayelsa | sciences        | English Language |        44 | Mathematics |        32 | Physics     |        47 | Chemistry   |        40 |           163 |
| STU-0099947  |        2024 | Ogun    | social_sciences | English Language |        39 | Economics   |        41 | Government  |        20 | Mathematics |        78 |           178 |
| STU-0221567  |        2022 | Edo     | commercial      | English Language |        21 | Economics   |        57 | Commerce    |        25 | Mathematics |        62 |           165 |
| STU-0155037  |        2024 | Benue   | sciences        | English Language |        23 | Mathematics |        95 | Physics     |        54 | Chemistry   |        20 |           192 |
| STU-0428716  |        2022 | Kano    | sciences        | English Language |        60 | Mathematics |        35 | Physics     |        20 | Chemistry   |        20 |           135 |

Data Generation Methodology

This dataset was synthetically generated using:

1. Reference Sources:

   • WAEC (West African Examinations Council) - exam results, pass rates, grade distributions
   • JAMB (Joint Admissions and Matriculation Board) - UTME scores, subject combinations
   • UBEC (Universal Basic Education Commission) - enrollment, infrastructure, teacher data
   • NBS (National Bureau of Statistics) - education surveys, literacy rates
   • UNESCO - Nigeria education statistics, enrollment ratios
   • UNICEF - Out-of-school children, gender parity indices

2. Domain Constraints:

   • WAEC grading system (A1-F9) with official score ranges
   • JAMB UTME scoring (0-400 points, 4 subjects)
   • Nigerian curriculum structure (Primary, JSS, SSS)
   • Academic calendar (3 terms: Sep-Dec, Jan-Apr, May-Jul)
   • Regional disparities (North-South education gap)
   • Gender parity indices by region and level

3. Quality Assurance:

   • Distribution testing (WAEC grade distributions match national patterns)
   • Correlation validation (attendance-performance, teacher quality-outcomes)
   • Causal consistency (educational outcome models)
   • Multi-scale coherence (student → school → state aggregations)
   • Ethical considerations (representative, unbiased, privacy-preserving)

See QUALITY_ASSURANCE.md in the repository for full methodology.

Use Cases

• Machine Learning: Performance prediction, dropout forecasting, admission modeling, resource allocation
• Policy Analysis: Education program evaluation, gender parity assessment, regional disparity studies
• Research: Teacher effectiveness, infrastructure impact, exam performance patterns
• Education Planning: School placement, teacher deployment, budget allocation

Limitations

• Synthetic data: While grounded in real distributions from WAEC/JAMB/UBEC, individual records are not real observations
• Simplified dynamics: Some complex interactions (e.g., peer effects, teacher-student matching) are simplified
• Temporal scope: Covers 2022-2025; may not reflect longer-term trends or future policy changes
• Spatial resolution: State/LGA level; does not capture micro-level heterogeneity within localities

Citation

If you use this dataset, please cite:

@dataset{nigeria_education_2025,
  title = {Nigeria Education – JAMB UTME Scores},
  author = {Electric Sheep Africa},
  year = {2025},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/electricsheepafrica/nigerian_education_jamb_utme_scores}
}

Related Datasets

This dataset is part of the Nigeria Education Sector collection:

• https://huggingface.co/collections/electricsheepafrica/nigeria-education-sector

Contact

For questions, feedback, or collaboration:

• Organization: Electric Sheep Africa
• Collection: Nigeria Education Sector
• Repository: https://github.com/electricsheepafrica/nigerian-datasets

Changelog

Version 1.0.0 (October 2025)

• Initial release
• 300,000 synthetic records
• Quality-assured using WAEC/JAMB/UBEC/NBS reference data