electricsheepafrica/african-intra-continental-trade-flows

---
license: cc-by-4.0
task_categories:
- tabular-classification
tags:
- trade
- afcfta
- bilateral-trade
- intra-african-trade
- comesa
- sadc
- eac
- sub-saharan-africa
- synthetic
- economics
pretty_name: African Intra-Continental Trade Flows
size_categories:
- 10K<n<100K
language:
- en
configs:
- config_name: baseline
data_files: data/trade_flows_baseline.csv
- config_name: afcfta_phase1
data_files: data/trade_flows_afcfta_phase1.csv
- config_name: accelerated_integration
data_files: data/trade_flows_accelerated_integration.csv
---

# African Intra-Continental Trade Flows

Synthetic bilateral trade flow dataset covering 55 African Union member states across 3 integration scenarios. Designed for trade analysis, AfCFTA impact modeling, regional economic integration research, and supply chain optimization.

## Dataset Description

- **75,000** synthetic intra-African trade flow records
- **55 countries**: All AU member states across regional economic communities (EAC, COMESA, SADC, ECOWAS, AMU, CEN-SAD)
- **3 scenarios**: baseline, afcfta_phase1, accelerated_integration
- **22 variables** per record

## Variables

| Variable | Type | Description |
|---|---|---|
| trade_id | string | Unique trade flow identifier |
| origin_country | string | Exporting country |
| origin_region | string | Regional economic community of origin |
| destination_country | string | Importing country |
| destination_region | string | Regional economic community of destination |
| year | int | Trade year |
| hs_code | string | 6-digit HS product code |
| product_category | string | Broad category (agriculture, manufacturing, minerals, services, etc.) |
| trade_value_usd | float | Trade value in USD |
| trade_volume_kg | float | Trade volume in kilograms |
| unit_value_usd | float | Unit value (USD per kg) |
| tariff_rate_afcfta | float | Applied AfCFTA tariff rate (%) |
| tariff_rate_mfn | float | Most Favored Nation tariff rate (%) |
| tariff_preference | float | AfCFTA preference margin (%) |
| rules_of_origin_compliant | int | Binary: meets ROO criteria |
| trade_regime | string | Regime (afcfta, preferential, mfn) |
| corridor | string | Trade corridor (northern, southern, eastern, western, central) |
| distance_km | float | Direct distance between capitals |
| transit_time_days | int | Expected transit time |
| trade_bloc_agreement | string | Active trade agreement |
| scenario | string | baseline, afcfta_phase1, or accelerated_integration |

## Scenarios

- **baseline** (30K records): Pre-AfCFTA trade patterns, 2018-2021. Regional trade dominates, high tariff barriers.
- **afcfta_phase1** (30K records): AfCFTA implementation phase 1, 2022-2024. Guided trade initiatives, 90% tariff elimination on non-sensitive goods.
- **accelerated_integration** (15K records): Full AfCFTA implementation, 2025-2027. Single market, reduced NTBs, digital trade facilitation.

## Generation Methodology

Parameters are calibrated against published data from:
- UNECA AfCFTA Implementation Report 2025
- COMESA Annual Report 2023
- UNCTAD Economic Development in Africa Report 2024
- World Bank WITS Trade Data 2023-2024
- TradeMark Africa Trade Barriers Monitoring
- African Development Bank Regional Integration Strategy
- ITC Market Access Map AfCFTA tariff offers analysis
- SADC, EAC, ECOWAS trade statistics

Trade flows follow gravity model specifications with:
- Bilateral distance decay coefficients calibrated to African trade corridors
- Regional economic community membership effects
- Income elasticity estimates from African trade literature
- Product-specific trade intensity indices

## Use Cases

- AfCFTA impact assessment and policy modeling
- Regional trade corridor analysis
- Supply chain optimization for intra-African logistics
- Trade diversion/trade creation analysis
- Tariff revenue impact modeling
- Export diversification strategy development

## Citation

```bibtex
@dataset{african_intra_trade_flows_2026,
title={African Intra-Continental Trade Flows Dataset},
author={ElectricSheepAfrica},
year={2026},
license={cc-by-4.0}
}
```

## License

CC BY 4.0 - This is synthetic data generated for research and educational purposes.