electricsheepafrica/africa-kenya-population-per-county-from-census-report-2019

Kenya: Population Per County and sub county from Census Report

Publisher: Kenya National Bureau of Statistics (inactive) · Source: HDX · License: other-pd-nr · Updated: 2025-02-06

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Abstract

Population per county from the released census report of 2019

Each row in this dataset represents geolocated point observations. Data was last updated on HDX on 2025-02-06. 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)	47
Columns	13 (3 numeric, 10 categorical, 0 datetime)
Train split	37 rows
Test split	9 rows
Geographic scope	KEN
Publisher	Kenya National Bureau of Statistics (inactive)
HDX last updated	2025-02-06

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Variables

Geographic — county (Baringo, Nyeri, Migori), total_population19 ( 666,763 , 759,164 , 1,116,436 ), male_populatio_2019 ( 336,322 , 374,288 , 536,187 ), female_population_2019 ( 330,428 , 384,845 , 580,214 ), population_density (range 6.0–958.0) and 2 others.

Demographic — households ( 142,518 , 248,050 , 240,168 ), av_hh_size (range 3.0–7.0), pop_change ( 111,202 , 65,606 , 199,266 ).

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

Other — landarea ( 10,976 , 3,325 , 2,614 ).

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-kenya-population-per-county-from-census-report-2019")
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
county	object	0.0%	Baringo, Nyeri, Migori
total_population19	object	0.0%	666,763 , 759,164 , 1,116,436
male_populatio_2019	object	0.0%	336,322 , 374,288 , 536,187
female_population_2019	object	0.0%	330,428 , 384,845 , 580,214
households	object	0.0%	142,518 , 248,050 , 240,168
av_hh_size	int64	0.0%	3.0 – 7.0 (mean 4.3404)
landarea	object	0.0%	10,976 , 3,325 , 2,614
population_density	float64	6.4%	6.0 – 958.0 (mean 253.2045)
population_in_2009	object	0.0%	555,561 , 693,558 , 917,170
pop_change	object	0.0%	111,202 , 65,606 , 199,266
intersex_population_2019	int64	0.0%	2.0 – 245.0 (mean 32.4255)
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
av_hh_size	3.0	7.0	4.3404	4.0
population_density	6.0	958.0	253.2045	205.0
intersex_population_2019	2.0	245.0	32.4255	25.0

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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. 1 column(s) were cast from string to numeric or datetime based on parse-success rate (>85% threshold). 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_per_county_from_census_report_2019,
  title     = {Kenya: Population Per County  and sub county from Census Report},
  author    = {Kenya National Bureau of Statistics (inactive)},
  year      = {2025},
  url       = {https://data.humdata.org/dataset/kenya-population-per-county-from-census-report-2019},
  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.