electricsheepafrica/africa-worldbank-initial-household-funding-per-tertiary-student-as-a-percentage-of-gdp-per-capit

Initial household funding per tertiary student as a percentage of GDP per capita | Africa (World Bank — Education Statistics)

🌍 59 observations · 13 Africa countries · 1999–2015 · Repackaged by Electric Sheep Africa

TL;DR

This dataset contains 59 observations of Education Statistics data across 13 Africa countries, spanning 1999–2015, covering 1 distinct indicators.

About the source

• Source: World Bank — Education Statistics
• Publisher: World Bank
• License: cc-by-4.0
• Topic: Education Statistics

Geographic coverage

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

Country	Rows	First year	Last year
CMR	9	2004	2012
CIV	8	2007	2015
BEN	8	2006	2013
MWI	8	2000	2007
MAR	7	2002	2010
BFA	6	1999	2006
BDI	4	2004	2007
GMB	3	2010	2012
ETH	2	2011	2012
GIN	1	2012	2012
CPV	1	2003	2003
MLI	1	2002	2002
TCD	1	2009	2009

Indicators (sample)

• UIS.XUNIT.GDPCAP.5T8.FSHH — Initial household funding per tertiary student as a percentage of GDP per capita

Schema

Column	Type	Description	Example
indicator_id	string	—	UIS.XUNIT.GDPCAP.5T8.FSHH
indicator_name	string	—	Initial household funding per tertiar…
country_iso3	string	—	BEN
country_name	string	—	Benin
year	int64	—	2013
value	float64	—	73.71007

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-worldbank-initial-household-funding-per-tertiary-student-as-a-percentage-of-gdp-per-capit")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

kenya = df[df["country_iso3"] == "KEN"]

Time-series for a single indicator

sample = (df[df["indicator_id"] == "UIS.XUNIT.GDPCAP.5T8.FSHH"]
          .sort_values("year"))
sample.plot(x="year", y="value", title="UIS.XUNIT.GDPCAP.5T8.FSHH")

Pivot to country × year matrix

matrix = (df[df["indicator_id"] == "UIS.XUNIT.GDPCAP.5T8.FSHH"]
          .pivot_table(index="year", columns="country_iso3", values="value"))
print(matrix.tail())

Citation

@misc{africa_worldbank_initial_household_funding_per_tertiary_student_as_a_percentage_of_gdp_per_capit_2015,
  title        = {Initial household funding per tertiary student as a percentage of GDP per capita | Africa (World Bank — Education Statistics)},
  author       = {World Bank},
  year         = {2015},
  url          = {https://databank.worldbank.org/},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-worldbank-initial-household-funding-per-tertiary-student-as-a-percentage-of-gdp-per-capit}}
}

License

Released under cc-by-4.0.

Original data © World Bank. 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 2026-06-19 via the Electric Sheep pipeline. Source URL: https://databank.worldbank.org/