electricsheepasia/asia-hdx-hapi-data-availability

HDX HAPI - Metadata: Data Availability

Publisher: HDX Humanitarian API Data · Source: HDX · License: cc-by-igo · 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 subnational administrative unit observations. Temporal coverage is indicated by the hapi_updated_date column(s). Geographic scope: AFG, ALB, DZA, ASM, AND, AGO, AIA, ATA, and 237 others.

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

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Dataset Characteristics

Domain	Humanitarian and development data
Unit of observation	Subnational administrative unit observations
Rows (total)	46,776
Columns	11 (1 numeric, 9 categorical, 1 datetime)
Train split	37,420 rows
Test split	9,355 rows
Geographic scope	AFG, ALB, DZA, ASM, AND, AGO, AIA, ATA, and 237 others
Publisher	HDX Humanitarian API Data
HDX last updated	2026-02-18

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Variables

Geographic — category (geography-infrastructure, climate, coordination-context), subcategory (baseline-population, hazards-rainfall, conflict-events), location_code (MEX, COL, NGA), admin1_code (MX20, MX30, CO05), admin1_name (Oaxaca, Veracruz de Ignacio de la Llave, Antioquia) and 3 others.

Temporal — hapi_updated_date.

Identifier / Metadata — esa_source (HDX), esa_processed (2026-05-04).

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/asia-hdx-hapi-data-availability")
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
category	object	0.0%	geography-infrastructure, climate, coordination-context
subcategory	object	0.0%	baseline-population, hazards-rainfall, conflict-events
location_code	object	0.0%	MEX, COL, NGA
admin1_code	object	3.3%	MX20, MX30, CO05
admin1_name	object	3.3%	Oaxaca, Veracruz de Ignacio de la Llave, Antioquia
admin2_code	object	14.8%	SS0711, NE004006, SS0709
admin2_name	object	14.8%	Sucre, Bolívar, Libertador
admin_level	int64	0.0%	0.0 – 2.0 (mean 1.8347)
hapi_updated_date	datetime64[ns]	0.0%
esa_source	object	0.0%	HDX
esa_processed	object	0.0%	2026-05-04

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Numeric Summary

Column	Min	Max	Mean	Median
admin_level	0.0	2.0	1.8347	2.0

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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) 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.
• This dataset spans 245 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_asia_hdx_hapi_data_availability,
  title     = {HDX HAPI - Metadata: Data Availability},
  author    = {HDX Humanitarian API Data},
  year      = {2026},
  url       = {https://data.humdata.org/dataset/hdx-hapi-data-availability},
  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.