---
license: other
language:
- en
task_categories:
- tabular-classification
- tabular-regression
- time-series-forecasting
multilinguality: monolingual
size_categories:
- n<1K
tags:
- tabular
- africa
- un-comtrade
- international-merchandise-trade
- trade
- exports-imports
- hs
- bilateral
- time-series
pretty_name: "Central African Rep. — Exports by Trading Partner | Africa (UN Comtrade)"
---

# Central African Rep. — Exports by Trading Partner | Africa (UN Comtrade)

🌍 **925 observations** · **1 Africa countries** · **2000–2023** · *Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)*

![rows](https://img.shields.io/badge/rows-925-blue) ![countries](https://img.shields.io/badge/countries-1-green) ![years](https://img.shields.io/badge/years-2000–2023-orange) ![indicators](https://img.shields.io/badge/indicators-119-purple) ![license](https://img.shields.io/badge/license-other-lightgrey)

## TL;DR

This dataset contains **925 observations** of `International merchandise trade` data across **1 Africa countries**, spanning **2000–2023**, covering **119 distinct indicators**.

## About the source

- **Source:** [UN Comtrade](https://comtradeplus.un.org/)
- **Publisher:** United Nations Statistics Division (UN Comtrade)
- **License:** [other](https://comtradeplus.un.org/TermsOfUse)
- **Topic:** International merchandise trade

## Geographic coverage

1 Africa countries · top rows shown below, sorted by row count:

| Country | Rows | First year | Last year |
|---------|-----:|-----------:|----------:|
| `Central African Rep.` | 925 | 2000 | 2023 |

## Indicators (sample)

- `Afghanistan` — Afghanistan
- `Albania` — Albania
- `Algeria` — Algeria
- `Andorra` — Andorra
- `Angola` — Angola
- `Areas, nes` — Areas, nes
- `Argentina` — Argentina
- `Australia` — Australia
- `Austria` — Austria
- `Bangladesh` — Bangladesh
- _... and 109 more indicators_

## Schema

| Column | Type | Description | Example |
|--------|------|-------------|---------|
| `country_name` | `string` | — | `Central African Rep.` |
| `country_iso3` | `string` | — | `CAF` |
| `partner_name` | `string` | — | `Dem. Rep. of the Congo` |
| `partner_iso3` | `string` | — | `COD` |
| `year` | `int64` | — | `2001` |
| `flow` | `string` | — | `exports` |
| `trade_value_usd` | `float64` | — | `289412.0` |

## Usage

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-comtrade-central-african-rep-exports-by-partner")
df = ds["train"].to_pandas()
print(df.head())
```

### Filter to one country

```python
kenya = df[df["country_name"] == "KEN"]
```

### Time-series for a single indicator

```python
sample = (df[df["partner_name"] == "Dem. Rep. of the Congo"]
          .sort_values("year"))
sample.plot(x="year", y="trade_value_usd", title="Dem. Rep. of the Congo")
```

### Pivot to country × year matrix

```python
matrix = (df[df["partner_name"] == "Dem. Rep. of the Congo"]
          .pivot_table(index="year", columns="country_name", values="trade_value_usd"))
print(matrix.tail())
```

## Citation

```bibtex
@misc{africa_comtrade_central_african_rep_exports_by_partner_2023,
  title        = {Central African Rep. — Exports by Trading Partner | Africa (UN Comtrade)},
  author       = {United Nations Statistics Division (UN Comtrade)},
  year         = {2023},
  url          = {https://comtradeplus.un.org/},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-comtrade-central-african-rep-exports-by-partner}}
}
```

## License

Released under [other](https://comtradeplus.un.org/TermsOfUse).

Original data © United Nations Statistics Division (UN Comtrade). When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging.

## About Electric Sheep

Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa on HuggingFace. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use `load_dataset()` to start working in seconds.

Browse the full collection: [huggingface.co/electricsheepafrica](https://huggingface.co/electricsheepafrica)

---

_Provenance: ingested 2026-06-17 via the Electric Sheep pipeline. Source URL: https://comtradeplus.un.org/_