electricsheepafrica/africa-kenya-population-by-sex-and-age-groups

Kenya Population characteristics

Publisher: Kenya National Bureau of Statistics (inactive) · Source: HDX · License: other-pd-nr · Updated: 2025-07-22

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Abstract

The Kenya Population by Sex and Age Groups as per the 2009 National census survey

Each row in this dataset represents geolocated point observations. Data was last updated on HDX on 2025-07-22. Geographic scope: KEN.

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

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Dataset Characteristics

Domain	Demographics and population
Unit of observation	Geolocated point observations
Rows (total)	17
Columns	6 (3 numeric, 3 categorical, 0 datetime)
Train split	13 rows
Test split	3 rows
Geographic scope	KEN
Publisher	Kenya National Bureau of Statistics (inactive)
HDX last updated	2025-07-22

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Variables

Geographic — total_population (range 218508.0–5939306.0).

Demographic — age_group (0 - 4, 5 - 9, 75 - 79), females (range 118675.0–2938867.0), males (range 99833.0–3000439.0).

Identifier / Metadata — esa_source (HDX), esa_processed (2026-04-04).

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-kenya-population-by-sex-and-age-groups")
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
age_group	object	0.0%	0 - 4, 5 - 9, 75 - 79
females	int64	0.0%	118675.0 – 2938867.0 (mean 1141648.8824)
males	int64	0.0%	99833.0 – 3000439.0 (mean 1128292.9412)
total_population	int64	0.0%	218508.0 – 5939306.0 (mean 2269941.8235)
esa_source	object	0.0%	HDX
esa_processed	object	0.0%	2026-04-04

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Numeric Summary

Column	Min	Max	Mean	Median
females	118675.0	2938867.0	1141648.8824	732575.0
males	99833.0	3000439.0	1128292.9412	743594.0
total_population	218508.0	5939306.0	2269941.8235	1476169.0

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Curation

Raw data was downloaded from HDX 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 Kenya National Bureau of Statistics (inactive) 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{hdx_africa_kenya_population_by_sex_and_age_groups,
  title     = {Kenya Population characteristics},
  author    = {Kenya National Bureau of Statistics (inactive)},
  year      = {2025},
  url       = {https://data.humdata.org/dataset/kenya-population-by-sex-and-age-groups},
  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.