electricsheepafrica/africa-worldbank-teaching-staff-compensation-as-a-percentage-of-total-expenditure-in-public-inst

Teaching staff compensation as a percentage of total expenditure in public institutions (%) | Africa (World Bank — Education Statistics)

🌍 81 observations · 20 Africa countries · 1998–2019 · Repackaged by Electric Sheep Africa

TL;DR

This dataset contains 81 observations of Education Statistics data across 20 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

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

Country	Rows	First year	Last year
CIV	15	1998	2018
BEN	10	1998	2015
GHA	8	2004	2012
GIN	7	2013	2019
MLI	7	2009	2017
KEN	5	2011	2015
BDI	5	2008	2012
GNB	4	2010	2013
CMR	3	2008	2010
CAF	3	2005	2008
MOZ	2	2012	2013
CPV	2	2005	2010
LSO	2	1999	2018
MDG	2	2008	2013
BFA	1	2007	2007
...	5 more countries

Indicators (sample)

• UIS.XSPENDP.FDPUB.FNTS — Teaching staff compensation as a percentage of total expenditure in public institutions (%)

Schema

Column	Type	Description	Example
indicator_id	string	—	UIS.XSPENDP.FDPUB.FNTS
indicator_name	string	—	Teaching staff compensation as a perc…
country_iso3	string	—	BEN
country_name	string	—	Benin
year	int64	—	2015
value	float64	—	60.01242

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-worldbank-teaching-staff-compensation-as-a-percentage-of-total-expenditure-in-public-inst")
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.FNTS"]
          .sort_values("year"))
sample.plot(x="year", y="value", title="UIS.XSPENDP.FDPUB.FNTS")

Pivot to country × year matrix

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

Citation

@misc{africa_worldbank_teaching_staff_compensation_as_a_percentage_of_total_expenditure_in_public_inst_2019,
  title        = {Teaching staff compensation as a percentage 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-teaching-staff-compensation-as-a-percentage-of-total-expenditure-in-public-inst}}
}

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/