electricsheepafrica/africa-climate-eswatini

HDX HAPI Data for Eswatini

Publisher: HDX Humanitarian API Data · Source: HDX · License: hdx-other · Updated: 2026-02-18

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Abstract

This dataset contains data obtained from the HDX Humanitarian API (HDX HAPI), which provides standardized humanitarian indicators designed for seamless interoperability from multiple sources. The data facilitates automated workflows and visualizations to support humanitarian decision making. For more information, please see the HDX HAPI landing page and documentation.

Each row in this dataset represents geolocated point observations. Temporal coverage is indicated by the reference_period_start, reference_period_end column(s). Geographic scope: SWZ.

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

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Dataset Characteristics

Domain	Food security and nutrition
Unit of observation	Geolocated point observations
Rows (total)	8,996
Columns	16 (3 numeric, 7 categorical, 2 datetime)
Train split	7,196 rows
Test split	1,799 rows
Geographic scope	SWZ
Publisher	HDX Humanitarian API Data
HDX last updated	2026-02-18

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Variables

Geographic — origin_location_code (SWZ, RWA, BDI), asylum_location_code (SWZ, CAN, USA), asylum_has_hrp, asylum_in_gho, population_group (REF, ASY, OOC) and 2 others.

Temporal — reference_period_start, reference_period_end.

Demographic — gender (f, m, all), age_range (all, 0-4, 5-11), min_age (range 0.0–60.0).

Identifier / Metadata — esa_source (HDX), esa_processed (2026-04-21).

Other — origin_has_hrp, origin_in_gho.

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-climate-eswatini")
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
origin_location_code	object	0.0%	SWZ, RWA, BDI
origin_has_hrp	bool	0.0%
origin_in_gho	bool	0.0%
asylum_location_code	object	0.0%	SWZ, CAN, USA
asylum_has_hrp	bool	0.0%
asylum_in_gho	bool	0.0%
population_group	object	0.0%	REF, ASY, OOC
gender	object	0.0%	f, m, all
age_range	object	0.0%	all, 0-4, 5-11
min_age	float64	23.1%	0.0 – 60.0 (mean 19.0)
max_age	float64	38.5%	4.0 – 59.0 (mean 22.75)
population	int64	0.0%	0.0 – 733.0 (mean 11.6273)
reference_period_start	datetime64[ns]	0.0%
reference_period_end	datetime64[ns]	0.0%
esa_source	object	0.0%	HDX
esa_processed	object	0.0%	2026-04-21

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Numeric Summary

Column	Min	Max	Mean	Median
min_age	0.0	60.0	19.0	12.0
max_age	4.0	59.0	22.75	14.0
population	0.0	733.0	11.6273	0.0

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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. 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 HDX Humanitarian API Data and has not been independently validated by ESA.
• Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
• The following columns have >20% missing values and should be treated with caution in modelling: min_age, max_age.
• Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

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Citation

@dataset{hdx_africa_climate_eswatini,
  title     = {HDX HAPI Data for Eswatini},
  author    = {HDX Humanitarian API Data},
  year      = {2026},
  url       = {https://data.humdata.org/dataset/hdx-hapi-swz},
  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.