electricsheepafrica/africa-eastern-africa-region-food-security-statistics-2013-2014

Eastern Africa Region Food Security Statistics 2013 - 2014

Publisher: OCHA Regional Office for Southern and Eastern Africa (ROSEA) · Source: HDX · License: cc-by-igo · Updated: 2023-09-28

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Abstract

Aggregated data on Nutrition (GAM & SAM) for Somalia and South Sudan for 2013 - 2014

Each row in this dataset represents first-level administrative unit observations. Data was last updated on HDX on 2023-09-28. Geographic scope: SOM, SSD.

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

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Dataset Characteristics

Domain	Humanitarian and development data
Unit of observation	First-level administrative unit observations
Rows (total)	42
Columns	9 (3 numeric, 6 categorical, 0 datetime)
Train split	33 rows
Test split	8 rows
Geographic scope	SOM, SSD
Publisher	OCHA Regional Office for Southern and Eastern Africa (ROSEA)
HDX last updated	2023-09-28

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Variables

Geographic — year (range 2013.0–2014.0), country (Somalia, South Sudan), region (Mogadishu - IDP, Garowe - IDP, Berbera - IDP).

Temporal — month (Gu 2013, Deyr 2013, Gu 2014).

Identifier / Metadata — source (FSNAU May-June 2014, Nutrition Cluster SS, June 2014), esa_source (HDX), esa_processed (2026-04-11).

Other — gam (range 6.2–31.6), sam (range 0.3–9.7).

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-eastern-africa-region-food-security-statistics-2013-2014")
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
year	int64	0.0%	2013.0 – 2014.0 (mean 2013.4286)
month	object	0.0%	Gu 2013, Deyr 2013, Gu 2014
country	object	0.0%	Somalia, South Sudan
region	object	0.0%	Mogadishu - IDP, Garowe - IDP, Berbera - IDP
gam	float64	0.0%	6.2 – 31.6 (mean 16.0881)
sam	float64	0.0%	0.3 – 9.7 (mean 3.4048)
source	object	0.0%	FSNAU May-June 2014, Nutrition Cluster SS, June 2014
esa_source	object	0.0%	HDX
esa_processed	object	0.0%	2026-04-11

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Numeric Summary

Column	Min	Max	Mean	Median
year	2013.0	2014.0	2013.4286	2013.0
gam	6.2	31.6	16.0881	15.9
sam	0.3	9.7	3.4048	3.0

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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) with >80% missing values were removed: unnamed_7. 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 Regional Office for Southern and Eastern Africa (ROSEA) and has not been independently validated by ESA.
• Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
• This dataset spans 2 countries; geographic and methodological inconsistencies across national boundaries may affect cross-country comparability.
• Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

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Citation

@dataset{hdx_africa_eastern_africa_region_food_security_statistics_2013_2014,
  title     = {Eastern Africa Region Food Security Statistics 2013 - 2014},
  author    = {OCHA Regional Office for Southern and Eastern Africa (ROSEA)},
  year      = {2023},
  url       = {https://data.humdata.org/dataset/eastern-africa-region-food-security-statistics-2013-2014},
  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.