Datasets:

electricsheepafrica
/

africa-worldbank-initial-household-funding-per-secondary-student-as-a-percentage-of-gdp-per-capi

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: >-
  Initial household funding per secondary student as a percentage of GDP per
  capita | Africa (World Bank — Education Statistics)

Initial household funding per secondary student as a percentage of GDP per capita | Africa (World Bank — Education Statistics)

🌍 84 observations · 16 Africa countries · 1999–2016 · Repackaged by Electric Sheep Africa

TL;DR

This dataset contains 84 observations of Education Statistics data across 16 Africa countries, spanning 1999–2016, 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

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

Country	Rows	First year	Last year
`CPV`	10	2003	2016
`MAR`	9	2002	2010
`CMR`	8	2004	2012
`BDI`	8	2002	2010
`GHA`	8	2006	2014
`MWI`	8	2000	2008
`MLI`	8	2003	2010
`BFA`	8	1999	2007
`TCD`	4	2009	2012
`GMB`	3	2008	2010
`BEN`	3	2011	2014
`CIV`	2	2014	2015
`ETH`	2	2011	2012
`GIN`	1	2012	2012
`LBY`	1	2006	2006
...	1 more countries

Indicators (sample)

UIS.XUNIT.GDPCAP.23.FSHH — Initial household funding per secondary student as a percentage of GDP per capita

Schema

Column	Type	Description	Example
`indicator_id`	`string`	—	`UIS.XUNIT.GDPCAP.23.FSHH`
`indicator_name`	`string`	—	`Initial household funding per seconda…`
`country_iso3`	`string`	—	`BEN`
`country_name`	`string`	—	`Benin`
`year`	`int64`	—	`2014`
`value`	`float64`	—	`13.95935`

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-worldbank-initial-household-funding-per-secondary-student-as-a-percentage-of-gdp-per-capi")
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.GDPCAP.23.FSHH"]
          .sort_values("year"))
sample.plot(x="year", y="value", title="UIS.XUNIT.GDPCAP.23.FSHH")

Pivot to country × year matrix

matrix = (df[df["indicator_id"] == "UIS.XUNIT.GDPCAP.23.FSHH"]
          .pivot_table(index="year", columns="country_iso3", values="value"))
print(matrix.tail())

Citation

@misc{africa_worldbank_initial_household_funding_per_secondary_student_as_a_percentage_of_gdp_per_capi_2016,
  title        = {Initial household funding per secondary student as a percentage of GDP per capita | Africa (World Bank — Education Statistics)},
  author       = {World Bank},
  year         = {2016},
  url          = {https://databank.worldbank.org/},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-worldbank-initial-household-funding-per-secondary-student-as-a-percentage-of-gdp-per-capi}}
}

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/