electricsheepafrica/africa-foreign-direct-investment-fdi-share-of-total-fdi-inflows-us-2015-prices

Foreign Direct Investment (FDI) — Share of Total FDI inflows US$, 2015 prices | Africa (FAOSTAT)

🌍 287 observations · 18 Africa countries · 2000–2023 · Repackaged by Electric Sheep Africa

TL;DR

This dataset contains 287 observations of Investment data across 18 Africa countries, spanning 2000–2023, covering 2 distinct indicators.

About the source

• Source: FAOSTAT (FAO)
• Publisher: Food and Agriculture Organization of the United Nations (FAO)
• License: cc-by-4.0
• Topic: Investment

Geographic coverage

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

Country	Rows	First year	Last year
Tunisia	44	2000	2021
Morocco	38	2000	2023
Mozambique	23	2001	2023
Egypt	22	2001	2023
United Republic of Tanzania	22	2000	2021
Uganda	19	2000	2021
Mauritius	18	2001	2022
Zambia	14	2007	2021
Rwanda	14	2008	2021
Nigeria	14	2002	2015
Ghana	13	2009	2021
Kenya	13	2007	2019
Madagascar	10	2005	2014
Algeria	8	2003	2010
Malawi	7	2002	2021
...	3 more countries

Indicators (sample)

• FDI inflows to Agriculture, Forestry and Fishing
• FDI inflows to Food, Beverages and Tobacco

Schema

Column	Type	Description	Example
country_name	string	—	Algeria
country_m49	int64	—	12
item	string	—	FDI inflows to Agriculture, Forestry …
year	int64	—	2003
value	float64	—	1.55156
unit	string	—	%
flag	string	—	X

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-foreign-direct-investment-fdi-share-of-total-fdi-inflows-us-2015-prices")
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["item"] == "FDI inflows to Agriculture, Forestry and Fishing"]
          .sort_values("year"))
sample.plot(x="year", y="value", title="FDI inflows to Agriculture, Forestry and Fishing")

Pivot to country × year matrix

matrix = (df[df["item"] == "FDI inflows to Agriculture, Forestry and Fishing"]
          .pivot_table(index="year", columns="country_name", values="value"))
print(matrix.tail())

Citation

@misc{africa_foreign_direct_investment_fdi_share_of_total_fdi_inflows_us_2015_prices_2023,
  title        = {Foreign Direct Investment (FDI) — Share of Total FDI inflows US$, 2015 prices | Africa (FAOSTAT)},
  author       = {Food and Agriculture Organization of the United Nations (FAO)},
  year         = {2023},
  url          = {https://www.fao.org/faostat/en/#data/FDI},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-foreign-direct-investment-fdi-share-of-total-fdi-inflows-us-2015-prices}}
}

License

Released under cc-by-4.0.

Original data © Food and Agriculture Organization of the United Nations (FAO). 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://www.fao.org/faostat/en/#data/FDI