electricsheepafrica/africa-burundi-humanitarian-needs-overview

Burundi: Aperçu des Besoins Humanitaires

Publisher: OCHA Burundi · Source: HDX · License: cc-by · Updated: 2025-07-22

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Abstract

Cet ensemble de données présente les besoins humanitaires les plus urgents et le nombre estimé de personnes ayant besoin d'assistance au Burundi.

Each row in this dataset represents first-level administrative unit observations. Data was last updated on HDX on 2025-07-22. Geographic scope: BDI.

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)	19
Columns	9 (6 numeric, 3 categorical, 0 datetime)
Train split	15 rows
Test split	3 rows
Geographic scope	BDI
Publisher	OCHA Burundi
HDX last updated	2025-07-22

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Variables

Geographic — province (#adm1+name, Kirundo, Rutana).

Identifier / Metadata — refugiees (range 0.0–26516.0), esa_source (HDX), esa_processed (2026-04-04).

Other — migrants (range 0.0–0.0), pdis (range 1000.0–13109.0), retournees (range 0.0–32155.0), autres_civils (range 72245.0–417324.0), communautes_hotes (range 800.0–26868.0).

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-burundi-humanitarian-needs-overview")
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
province	object	0.0%	#adm1+name, Kirundo, Rutana
refugiees	float64	5.3%	0.0 – 26516.0 (mean 4444.4444)
migrants	float64	5.3%	0.0 – 0.0 (mean 0.0)
pdis	float64	5.3%	1000.0 – 13109.0 (mean 6146.7222)
retournees	float64	5.3%	0.0 – 32155.0 (mean 2058.2778)
autres_civils	float64	5.3%	72245.0 – 417324.0 (mean 222174.8333)
communautes_hotes	float64	5.3%	800.0 – 26868.0 (mean 5850.0556)
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
refugiees	0.0	26516.0	4444.4444	98.5
migrants	0.0	0.0	0.0	0.0
pdis	1000.0	13109.0	6146.7222	5353.0
retournees	0.0	32155.0	2058.2778	0.0
autres_civils	72245.0	417324.0	222174.8333	214772.5
communautes_hotes	800.0	26868.0	5850.0556	4282.0

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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. 5 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 Burundi 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_burundi_humanitarian_needs_overview,
  title     = {Burundi: Aperçu des Besoins Humanitaires},
  author    = {OCHA Burundi},
  year      = {2025},
  url       = {https://data.humdata.org/dataset/burundi-humanitarian-needs-overview},
  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.