electricsheepafrica/africa-worldbank-initial-government-funding-per-upper-secondary-student-as-a-percentage-of-gdp-p

Initial government funding per upper secondary student as a percentage of GDP per capita | Africa (World Bank — Education Statistics)

🌍 109 observations · 28 Africa countries · 1998–2018 · Repackaged by Electric Sheep Africa

TL;DR

This dataset contains 109 observations of Education Statistics data across 28 Africa countries, spanning 1998–2018, 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

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

Country	Rows	First year	Last year
GHA	11	2001	2014
MLI	9	2008	2017
BFA	8	2007	2016
MAR	8	1998	2009
MWI	6	2010	2016
CIV	6	2012	2018
TCD	6	2009	2018
MDG	5	2007	2012
SWZ	5	2005	2011
ETH	5	2009	2015
DZA	5	1999	2006
CPV	4	2014	2017
CMR	4	2008	2012
GIN	3	2011	2014
GMB	3	2008	2010
...	13 more countries

Indicators (sample)

• UIS.XUNIT.GDPCAP.3.FSGOV — Initial government funding per upper secondary student as a percentage of GDP per capita

Schema

Column	Type	Description	Example
indicator_id	string	—	UIS.XUNIT.GDPCAP.3.FSGOV
indicator_name	string	—	Initial government funding per upper …
country_iso3	string	—	DZA
country_name	string	—	Algeria
year	int64	—	2006
value	float64	—	16.62026

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-worldbank-initial-government-funding-per-upper-secondary-student-as-a-percentage-of-gdp-p")
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.3.FSGOV"]
          .sort_values("year"))
sample.plot(x="year", y="value", title="UIS.XUNIT.GDPCAP.3.FSGOV")

Pivot to country × year matrix

matrix = (df[df["indicator_id"] == "UIS.XUNIT.GDPCAP.3.FSGOV"]
          .pivot_table(index="year", columns="country_iso3", values="value"))
print(matrix.tail())

Citation

@misc{africa_worldbank_initial_government_funding_per_upper_secondary_student_as_a_percentage_of_gdp_p_2018,
  title        = {Initial government funding per upper secondary student as a percentage of GDP per capita | Africa (World Bank — Education Statistics)},
  author       = {World Bank},
  year         = {2018},
  url          = {https://databank.worldbank.org/},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-worldbank-initial-government-funding-per-upper-secondary-student-as-a-percentage-of-gdp-p}}
}

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/