electricsheepafrica/africa-demographics-all

Population distribution by disability status

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

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Abstract

This dataset contains demographics and population records covering Africa (multiple countries), comprising 112 observations across 11 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	Demographics and population
Unit of observation	Subnational administrative unit observations
Rows (total)	112
Columns	11 (1 numeric, 10 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 ), without_disability (350,347, 126,904, 302,060), with_disability (46,583, 16,976, 60,248), with_seeing_disability (24,123, 24,071, 20,915), with_hearing_disability (11,655, 4,738, 19,147) and 2 others.

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-demographics-all")
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
without_disability	object	0.0%	350,347, 126,904, 302,060
with_disability	object	0.0%	46,583, 16,976, 60,248
with_seeing_disability	object	0.0%	24,123, 24,071, 20,915
with_hearing_disability	object	0.0%	11,655, 4,738, 19,147
with_remembering_disability	object	0.0%	19,421, 6,793, 24,245
with_walking_disability	object	0.0%	21,233, 7,326, 18,094
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

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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_demographics_all,
  title     = {Population distribution by disability status},
  author    = {Code for Africa},
  year      = {2023},
  url       = {https://open.africa/dataset/population-distribution-by-disability-status},
  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.