Ayushihiuh/nigeria-education-employment-outcomes

---
license: mit
task_categories:
- tabular-regression
- tabular-classification
tags:
- nigeria
- education
- africa
- synthetic-data
- employment-outcomes
language:
- en
size_categories:
- 100K<n<1M
pretty_name: Nigeria Education - Employment Outcomes
---

# Nigeria - Employment Outcomes

## Dataset Description

Graduate employment outcomes including job sectors, salaries, and time to employment.

## Dataset Information

- **Country**: Nigeria
- **Dataset Name**: employment_outcomes
- **Total Records**: 100,000
- **Total Columns**: 8
- **File Size**: 1.69 MB
- **Format**: Parquet (full data), CSV (sample)
- **Generated**: 2025-10-21T23:16:04.908142

## Schema

| Column | Data Type | Description |
|--------|-----------|-------------|
| `employment_id` | object | Employment Id |
| `student_id` | object | Student Id |
| `employment_status` | object | Employment Status |
| `job_sector` | object | Job Sector |
| `annual_salary` | float64 | Annual Salary |
| `months_to_employment` | float64 | Months To Employment |
| `graduation_year` | float64 | Graduation Year |
| `country` | object | Country |

## Sample Data

The dataset includes a 10,000-row sample in CSV format for quick exploration.

## Data Quality

- **Validation Status**: ✅ Passed
- **Missing Data**: ~2-5% (realistic pattern)
- **Data Type Enforcement**: Strict
- **Cross-Dataset Consistency**: Maintained

## Dependencies

- `student_profiles`
- `academic_outcomes`

## Usage Example

### Python (Pandas)
```python
import pandas as pd

# Load full dataset
df = pd.read_parquet('employment_outcomes_full.parquet')
print(f"Loaded {len(df):,} records")
print(df.head())

# Load sample
df_sample = pd.read_csv('employment_outcomes_sample.csv')
print(df_sample.describe())
```

### Python (Hugging Face Datasets)
```python
from datasets import load_dataset

# Load from Hugging Face
dataset = load_dataset('nigeria-education-employment_outcomes')
df = dataset['train'].to_pandas()
```

## Data Generation

This dataset was generated using statistical distributions based on:
- UNICEF education statistics for Nigeria
- World Bank development indicators
- Nigerian Ministry of Education data
- Realistic probability distributions

**Note**: This is synthetic data generated for research and testing purposes.

## Related Datasets

This dataset is part of the **Nigeria Education Datasets Collection** (45 datasets total).

Browse the full collection: [Nigeria Education Datasets](https://huggingface.co/collections/nigeria-education)

## Citation

```bibtex
@dataset{nigeria_employment_outcomes_2025,
title={Nigeria Education Dataset: Employment Outcomes},
author={[Your Name/Organization]},
year={2025},
publisher={Hugging Face},
url={https://huggingface.co/datasets/nigeria-education-employment_outcomes}
}
```

## License

[Specify your license]

## Contact

[Your contact information]

---

**Part of**: Nigeria Education Datasets Collection
**Total Datasets**: 45
**Country**: Nigeria 🇳🇬