Datasets:

electricsheepafrica
/

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

license: cc-by-4.0
language:
  - en
task_categories:
  - tabular-classification
  - tabular-regression
  - time-series-forecasting
multilinguality: monolingual
size_categories:
  - n<1K
tags:
  - tabular
  - africa
  - world-bank-—-education-statistics
  - education-statistics
  - world-bank
  - worldbank
  - development-indicators
  - time-series
pretty_name: >-
  Teaching staff compensation as a percentage of total expenditure in public
  institutions (%) | Africa (World Bank — Education Statistics)

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

Provenance: ingested 2026-06-19 via the Electric Sheep pipeline. Source URL: https://databank.worldbank.org/