electricsheepafrica/africa-cash-based-programming-in-somalia

Cash Based Programming in Somalia

Publisher: OCHA Somalia · Source: HDX · License: cc-by · Updated: 2026-04-03

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Abstract

Cash Based Programming in Somalia. Data are aggregated at admin level 2

Each row in this dataset represents first-level administrative unit observations. Data was last updated on HDX on 2026-04-03. Geographic scope: SOM.

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

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Dataset Characteristics

Domain	Food security and nutrition
Unit of observation	First-level administrative unit observations
Rows (total)	6,948
Columns	10 (2 numeric, 8 categorical, 0 datetime)
Train split	5,558 rows
Test split	1,389 rows
Geographic scope	SOM
Publisher	OCHA Somalia
HDX last updated	2026-04-03

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Variables

Geographic — region (Sanaag, Bari, Lower Juba), conditionality (Unconditional, Unspecified, Conditional), delivery_mechanism (Voucher - e-Voucher, Cash - mobile money, Cash - mobile).

Temporal — month (September, July, August).

Demographic — total_of_individuals (range 0.0–47202.0).

Outcome / Measurement — total_transfers_usd (range 0.0–335520.0).

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

Other — cluster (FSC, Food Security, Safety Nets), restriction (Unrestricted, Restricted, #indicator+restriction).

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-cash-based-programming-in-somalia")
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
month	object	0.0%	September, July, August
region	object	0.0%	Sanaag, Bari, Lower Juba
cluster	object	0.0%	FSC, Food Security, Safety Nets
conditionality	object	0.0%	Unconditional, Unspecified, Conditional
delivery_mechanism	object	0.0%	Voucher - e-Voucher, Cash - mobile money, Cash - mobile
restriction	object	0.0%	Unrestricted, Restricted, #indicator+restriction
total_of_individuals	float64	0.0%	0.0 – 47202.0 (mean 820.57)
total_transfers_usd	float64	0.0%	0.0 – 335520.0 (mean 9291.1696)
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
total_of_individuals	0.0	47202.0	820.57	348.0
total_transfers_usd	0.0	335520.0	9291.1696	3920.0

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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 exact duplicate rows were removed. 2 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 OCHA Somalia 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_cash_based_programming_in_somalia,
  title     = {Cash Based Programming in Somalia},
  author    = {OCHA Somalia},
  year      = {2026},
  url       = {https://data.humdata.org/dataset/cash-based-programming-in-somalia},
  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.