electricsheepafrica/africa-worldbank-initial-government-funding-per-lower-secondary-student-constant-ppp-uis-xunit-p

Initial government funding per lower secondary student, constant PPP$ | Africa (World Bank — Education Statistics)

🌍 132 observations · 27 Africa countries · 1998–2018 · Repackaged by Electric Sheep Africa

TL;DR

This dataset contains 132 observations of Education Statistics data across 27 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

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

Country	Rows	First year	Last year
GMB	15	2001	2015
GHA	11	2001	2014
MLI	10	2008	2017
MAR	8	1998	2009
BFA	8	2007	2016
TCD	6	2009	2018
MWI	6	2010	2016
ETH	6	2009	2015
MDG	6	1998	2012
CIV	6	2013	2018
CMR	5	2008	2013
NAM	5	2002	2017
SWZ	5	2005	2011
GIN	4	2011	2014
KEN	4	2004	2015
...	12 more countries

Indicators (sample)

• UIS.XUNIT.PPPCONST.2.FSGOV — Initial government funding per lower secondary student, constant PPP$

Schema

Column	Type	Description	Example
indicator_id	string	—	UIS.XUNIT.PPPCONST.2.FSGOV
indicator_name	string	—	Initial government funding per lower …
country_iso3	string	—	DZA
country_name	string	—	Algeria
year	int64	—	2003
value	float64	—	1430.8793

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-worldbank-initial-government-funding-per-lower-secondary-student-constant-ppp-uis-xunit-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.PPPCONST.2.FSGOV"]
          .sort_values("year"))
sample.plot(x="year", y="value", title="UIS.XUNIT.PPPCONST.2.FSGOV")

Pivot to country × year matrix

matrix = (df[df["indicator_id"] == "UIS.XUNIT.PPPCONST.2.FSGOV"]
          .pivot_table(index="year", columns="country_iso3", values="value"))
print(matrix.tail())

Citation

@misc{africa_worldbank_initial_government_funding_per_lower_secondary_student_constant_ppp_uis_xunit_p_2018,
  title        = {Initial government funding per lower secondary student, constant PPP$ | 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-lower-secondary-student-constant-ppp-uis-xunit-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/