electricsheepafrica/africa-worldbank-current-expenditure-other-than-staff-compensation-as-of-total-expenditure-in-pu

Current expenditure other than staff compensation as % of total expenditure in public institutions (%) | Africa (World Bank — Education Statistics)

🌍 127 observations · 26 Africa countries · 1998–2019 · Repackaged by Electric Sheep Africa

TL;DR

This dataset contains 127 observations of Education Statistics data across 26 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

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

Country	Rows	First year	Last year
BEN	15	1998	2015
CIV	15	1998	2018
GHA	11	2001	2014
BDI	9	1999	2012
ETH	7	2009	2015
GIN	7	2013	2019
MLI	7	2009	2017
MDG	6	2005	2013
KEN	5	2011	2015
CPV	5	2004	2016
GNB	5	1998	2013
GMB	5	2008	2012
CMR	4	2008	2013
COM	4	1998	2015
ERI	4	2000	2006
...	11 more countries

Indicators (sample)

• UIS.XSPENDP.FDPUB.FNNONS — Current expenditure other than staff compensation as % of total expenditure in public institutions (%)

Schema

Column	Type	Description	Example
indicator_id	string	—	UIS.XSPENDP.FDPUB.FNNONS
indicator_name	string	—	Current expenditure other than staff …
country_iso3	string	—	BEN
country_name	string	—	Benin
year	int64	—	2015
value	float64	—	22.1633

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-worldbank-current-expenditure-other-than-staff-compensation-as-of-total-expenditure-in-pu")
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.FDPUB.FNNONS"]
          .sort_values("year"))
sample.plot(x="year", y="value", title="UIS.XSPENDP.FDPUB.FNNONS")

Pivot to country × year matrix

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

Citation

@misc{africa_worldbank_current_expenditure_other_than_staff_compensation_as_of_total_expenditure_in_pu_2019,
  title        = {Current expenditure other than staff compensation as % of total expenditure in 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-other-than-staff-compensation-as-of-total-expenditure-in-pu}}
}

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/