electricsheepafrica/africa-kenya-number-of-beneficiaries-of-the-cash-transfer-program-per-constituency

Kenya - Number of beneficiaries of the Cash Transfer Program per constituency

Publisher: Kenya Open Data Initiative (inactive) · Source: HDX · License: cc-by · Updated: 2023-10-18

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Abstract

This data indicates the total number of beneficiaries Of The Cash Transfer Program By National Council For Persons With Disabilities per constituency.

Each row in this dataset represents tabular records. Data was last updated on HDX on 2023-10-18. 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	Tabular records
Rows (total)	284
Columns	8 (4 numeric, 4 categorical, 0 datetime)
Train split	227 rows
Test split	56 rows
Geographic scope	KEN
Publisher	Kenya Open Data Initiative (inactive)
HDX last updated	2023-10-18

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Variables

Geographic — constituency (Ainabkoi, Mumias, Mwea), county_name (Nairobi, Kakamega, Nakuru), cent_x (range 33.9959–41.5361), cent_y (range -4.4567–4.4999).

Outcome / Measurement — number_of_beneficiaries (range 0.0–1265.0).

Identifier / Metadata — objectid (range 0.0–283.0), esa_source (HDX), esa_processed (2026-04-10).

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-kenya-number-of-beneficiaries-of-the-cash-transfer-program-per-constituency")
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
constituency	object	0.0%	Ainabkoi, Mumias, Mwea
county_name	object	0.0%	Nairobi, Kakamega, Nakuru
number_of_beneficiaries	float64	0.4%	0.0 – 1265.0 (mean 165.5583)
cent_x	float64	0.0%	33.9959 – 41.5361 (mean 36.5584)
cent_y	float64	0.0%	-4.4567 – 4.4999 (mean -0.3843)
objectid	int64	0.0%	0.0 – 283.0 (mean 141.5)
esa_source	object	0.0%	HDX
esa_processed	object	0.0%	2026-04-10

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Numeric Summary

Column	Min	Max	Mean	Median
number_of_beneficiaries	0.0	1265.0	165.5583	145.0
cent_x	33.9959	41.5361	36.5584	36.5043
cent_y	-4.4567	4.4999	-0.3843	-0.4169
objectid	0.0	283.0	141.5	141.5

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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 Open Data Initiative (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_number_of_beneficiaries_of_the_cash_transfer_program_per_constituency,
  title     = {Kenya - Number of beneficiaries of the Cash Transfer Program per constituency},
  author    = {Kenya Open Data Initiative (inactive)},
  year      = {2023},
  url       = {https://data.humdata.org/dataset/kenya-number-of-beneficiaries-of-the-cash-transfer-program-per-constituency},
  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.