electricsheepafrica/africa-children-below-18-and-married

Children below 18 and married | Uganda

Publisher: Code for Africa · Source: OpenAfrica · License: cc-by · Updated: 2023-11-30

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Abstract

This dataset contains humanitarian and development data records covering Africa (multiple countries), comprising 112 observations across 7 variables.

Each row in this dataset represents subnational administrative unit observations. Data was last updated on OpenAfrica on 2023-11-30. Geographic scope: Africa (multiple countries).

Curated into ML-ready Parquet format by Electric Sheep Africa.

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Dataset Characteristics

Domain	Humanitarian and development data
Unit of observation	Subnational administrative unit observations
Rows (total)	112
Columns	7 (3 numeric, 4 categorical, 0 datetime)
Train split	89 rows
Test split	22 rows
Geographic scope	Africa (multiple countries)
Publisher	Code for Africa
OpenAfrica last updated	2023-11-30

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Variables

Geographic — district (Buikwe , Bukomansimbi , Oyam ).

Demographic — male_married (range 0.5–3.3), female_married (range 3.0–11.6).

Identifier / Metadata — code (range 1.0–456.0), esa_source (HDX), esa_processed (2026-04-27).

Other — level (district).

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-children-below-18-and-married")
train = ds["train"].to_pandas()
test  = ds["test"].to_pandas()

print(train.shape)
train.head()

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Schema

Column	Type	Null %	Range / Sample Values
code	int64	0.0%	1.0 – 456.0 (mean 92.7321)
level	object	0.0%	district
district	object	0.0%	Buikwe , Bukomansimbi , Oyam
male_married	float64	0.0%	0.5 – 3.3 (mean 1.4321)
female_married	float64	0.0%	3.0 – 11.6 (mean 5.8241)
esa_source	object	0.0%	HDX
esa_processed	object	0.0%	2026-04-27

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Numeric Summary

Column	Min	Max	Mean	Median
code	1.0	456.0	92.7321	62.5
male_married	0.5	3.3	1.4321	1.4
female_married	3.0	11.6	5.8241	5.7

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Curation

Raw data was downloaded from OpenAfrica via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snake_case. Common missing-value markers (N/A, null, none, -, unknown, no data, #N/A) were unified to NaN. The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet.

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Limitations

• Data originates from Code for Africa and has not been independently validated by ESA.
• Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
• Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

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Citation

@dataset{openafrica_africa_children_below_18_and_married,
  title     = {Children below 18 and married | Uganda},
  author    = {Code for Africa},
  year      = {2023},
  url       = {https://open.africa/dataset/children-below-18-and-married},
  note      = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

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Electric Sheep Africa — Africa's ML dataset infrastructure. Lagos, Nigeria.