electricsheepafrica/africa-worldbank-current-expenditure-as-of-total-expenditure-in-secondary-public-institutions-ui

Current expenditure as % of total expenditure in secondary public institutions (%) | Africa (World Bank — Education Statistics)

🌍 180 observations · 32 Africa countries · 1998–2019 · Repackaged by Electric Sheep Africa

TL;DR

This dataset contains 180 observations of Education Statistics data across 32 Africa countries, spanning 1998–2019, 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

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

Country	Rows	First year	Last year
CIV	15	1998	2018
GIN	12	2008	2019
GHA	11	2001	2014
BDI	10	1999	2013
CPV	10	2002	2016
MLI	10	2008	2017
BEN	9	1998	2015
ETH	7	2009	2015
MAR	7	1998	2009
MDG	7	2005	2013
MWI	7	2010	2016
NAM	6	2000	2017
GMB	6	2008	2013
CAF	5	2005	2010
CMR	5	2008	2012
...	17 more countries

Indicators (sample)

• UIS.XSPENDP.23.FDPUB.FNCUR — Current expenditure as % of total expenditure in secondary public institutions (%)

Schema

Column	Type	Description	Example
indicator_id	string	—	UIS.XSPENDP.23.FDPUB.FNCUR
indicator_name	string	—	Current expenditure as % of total exp…
country_iso3	string	—	DZA
country_name	string	—	Algeria
year	int64	—	2017
value	float64	—	99.9975

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-worldbank-current-expenditure-as-of-total-expenditure-in-secondary-public-institutions-ui")
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.XSPENDP.23.FDPUB.FNCUR"]
          .sort_values("year"))
sample.plot(x="year", y="value", title="UIS.XSPENDP.23.FDPUB.FNCUR")

Pivot to country × year matrix

matrix = (df[df["indicator_id"] == "UIS.XSPENDP.23.FDPUB.FNCUR"]
          .pivot_table(index="year", columns="country_iso3", values="value"))
print(matrix.tail())

Citation

@misc{africa_worldbank_current_expenditure_as_of_total_expenditure_in_secondary_public_institutions_ui_2019,
  title        = {Current expenditure as % of total expenditure in secondary public institutions (%) | Africa (World Bank — Education Statistics)},
  author       = {World Bank},
  year         = {2019},
  url          = {https://databank.worldbank.org/},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-worldbank-current-expenditure-as-of-total-expenditure-in-secondary-public-institutions-ui}}
}

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/