electricsheepafrica/africa-comtrade-cameroon-exports-by-commodity

Cameroon — Exports by Commodity (HS6) | Africa (UN Comtrade)

🌍 36,410 observations · 1 Africa countries · 2000–2023 · Repackaged by Electric Sheep Africa

TL;DR

This dataset contains 36,410 observations of International merchandise trade data across 1 Africa countries, spanning 2000–2023, covering 4269 distinct indicators.

About the source

• Source: UN Comtrade
• Publisher: United Nations Statistics Division (UN Comtrade)
• License: other
• Topic: International merchandise trade

Geographic coverage

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

Country	Rows	First year	Last year
Cameroon	36,410	2000	2023

Indicators (sample)

• 010110 — 010110 - - Pure-bred breeding animals
• 010111 — 010111 - Horses :-- Pure-bred breeding animals
• 010119 — 010119 - Horses :-- Other
• 010121 — 010121 - Horses; live, pure-bred breeding animals
• 010129 — 010129 - Horses; live, other than pure-bred breeding animals
• 010130 — 010130 - Asses; live
• 010190 — 010190 - Mules and hinnies; live
• 010210 — 010210 - - Pure-bred breeding animals
• 010221 — 010221 - Cattle; live, pure-bred breeding animals
• 010229 — 010229 - Cattle; live, other than pure-bred breeding animals
• ... and 4259 more indicators

Schema

Column	Type	Description	Example
country_name	string	—	Cameroon
country_iso3	string	—	CMR
commodity_code	string	—	070610
commodity	string	—	070610 - Vegetables, root; carrots an…
year	int64	—	2000
flow	string	—	exports
trade_value_usd	float64	—	37.0

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-comtrade-cameroon-exports-by-commodity")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

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

Time-series for a single indicator

sample = (df[df["commodity_code"] == "070610"]
          .sort_values("year"))
sample.plot(x="year", y="trade_value_usd", title="070610")

Pivot to country × year matrix

matrix = (df[df["commodity_code"] == "070610"]
          .pivot_table(index="year", columns="country_name", values="trade_value_usd"))
print(matrix.tail())

Citation

@misc{africa_comtrade_cameroon_exports_by_commodity_2023,
  title        = {Cameroon — Exports by Commodity (HS6) | 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-cameroon-exports-by-commodity}}
}

License

Released under other.

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

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