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

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

🌍 73,495 observations · 1 Africa countries · 2004–2023 · Repackaged by Electric Sheep Africa

TL;DR

This dataset contains 73,495 observations of International merchandise trade data across 1 Africa countries, spanning 2004–2023, covering 4150 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
Angola	73,495	2004	2023

Indicators (sample)

• 010110 — 010110 - - Pure-bred breeding animals
• 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
• 010221 — 010221 - Cattle; live, pure-bred breeding animals
• 010229 — 010229 - Cattle; live, other than pure-bred breeding animals
• 010231 — 010231 - Buffalo; live, pure-bred breeding animals
• 010290 — 010290 - Bovine animals; live, other than cattle and buffalo
• 010310 — 010310 - Swine; live, pure-bred breeding animals
• ... and 4140 more indicators

Schema

Column	Type	Description	Example
country_name	string	—	Angola
country_iso3	string	—	AGO
commodity_code	string	—	999999
commodity	string	—	999999 - Commodities not specified ac…
year	int64	—	2004
flow	string	—	exports
trade_value_usd	float64	—	3789.0

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-comtrade-angola-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"] == "999999"]
          .sort_values("year"))
sample.plot(x="year", y="trade_value_usd", title="999999")

Pivot to country × year matrix

matrix = (df[df["commodity_code"] == "999999"]
          .pivot_table(index="year", columns="country_name", values="trade_value_usd"))
print(matrix.tail())

Citation

@misc{africa_comtrade_angola_exports_by_commodity_2023,
  title        = {Angola — 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-angola-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/