electricsheepafrica/african-e-waste-flows
收藏Hugging Face2026-03-21 更新2026-03-29 收录
下载链接:
https://hf-mirror.com/datasets/electricsheepafrica/african-e-waste-flows
下载链接
链接失效反馈官方服务:
资源简介:
---
license: cc-by-4.0
tags:
- waste
- e-waste
- circular-economy
- sub-saharan-africa
- synthetic
- environment
task_categories:
- tabular-regression
language:
- en
pretty_name: African E-Waste Flows
size_categories:
- 10K<n<100K
---
# African E-Waste Flows
Synthetic dataset modelling e-waste generation, import flows, processing pathways, and environmental impact across 10 Sub-Saharan African countries under 3 policy scenarios.
## Dataset Description
- **30,000 records** — 10,000 per scenario (baseline, enforcement\_basel, informal\_dominance)
- **10 countries** — Nigeria, Ghana, Kenya, Tanzania, South Africa, Ethiopia, Senegal, DRC, Cameroon, Uganda
- **5 waste types** — computers, phones, appliances, batteries, cables
- **9 years** — 2015–2023
- **16 variables** per record
## Variables
| Variable | Description |
|---|---|
| `record_id` | Unique row identifier |
| `country` | Country name |
| `year` | Reporting year |
| `waste_type` | Category of e-waste |
| `import_volume_tonnes` | E-waste imported (tonnes) |
| `domestic_generation_tonnes` | Domestically generated e-waste (tonnes) |
| `formal_recycling_tonnes` | Processed via formal sector (tonnes) |
| `informal_processing_tonnes` | Processed via informal sector (tonnes) |
| `material_recovery_rate_pct` | % of materials recovered |
| `hazardous_content_score` | Hazard level (0–10) |
| `worker_exposure_index` | Worker health risk index |
| `formal_sector_employment` | Formal sector jobs |
| `informal_sector_employment` | Informal sector jobs |
| `revenue_usd_millions` | Revenue in USD millions |
| `basel_compliance_score` | Basel Convention compliance (0–10) |
| `environmental_impact_score` | Composite environmental impact (0–100) |
| `scenario` | Policy scenario |
## Scenarios
- **baseline** — Current trajectory, ~15% formal recycling
- **enforcement\_basel** — Stricter Basel Convention enforcement, 35% formal recycling
- **informal\_dominance** — Weak governance, dominant informal processing (~5% formal)
## Geographical Context
- **Ghana (Agbogbloshie)** — One of the world's largest e-waste processing sites; informal dismantling with significant health and environmental impacts.
- **Nigeria (Alaba International Market)** — Major hub for second-hand electronics imports and informal refurbishment in West Africa.
## Generation
Run `python generate_dataset.py` to regenerate the dataset. Requires `pandas`, `numpy`, `pyarrow`.
## Validation
Run `python validate_dataset.py` to verify dataset integrity.
## License
CC-BY-4.0
提供机构:
electricsheepafrica



