electricsheepafrica/africa-national-health-facility-master-list-2018

Uganda National Health Facility Master List 2018

Publisher: Ministry of Health Uganda · Source: OpenAfrica · License: cc-by · Updated: 2022-10-26

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Abstract

A complete listing of both public and private health facilities in the country. There are 6,937 health facilities and each is established under unique administrative units i.e. Region, district, health sub-district, sub-county etc.

Each row in this dataset represents tabular records. Data was last updated on OpenAfrica on 2022-10-26. Geographic scope: EBOLA, UGANDA.

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

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Dataset Characteristics

Domain	Public health
Unit of observation	Tabular records
Rows (total)	22
Columns	4 (0 numeric, 4 categorical, 0 datetime)
Train split	17 rows
Test split	4 rows
Geographic scope	EBOLA, UGANDA
Publisher	Ministry of Health Uganda
OpenAfrica last updated	2022-10-26

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Variables

Geographic — acronyms (NRH , RH , PFP ).

Identifier / Metadata — unnamed_1 (National Referral Hospital, Referral Hospital, Private For Profit), esa_source (HDX), esa_processed (2026-04-28).

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-national-health-facility-master-list-2018")
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
acronyms	object	0.0%	NRH , RH , PFP
unnamed_1	object	0.0%	National Referral Hospital, Referral Hospital, Private For Profit
esa_source	object	0.0%	HDX
esa_processed	object	0.0%	2026-04-28

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Numeric Summary

Column	Min	Max	Mean	Median
No numeric columns.

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Curation

Raw data was downloaded from OpenAfrica 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. 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 Ministry of Health Uganda 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{openafrica_africa_national_health_facility_master_list_2018,
  title     = {Uganda National Health Facility Master List 2018},
  author    = {Ministry of Health Uganda},
  year      = {2022},
  url       = {https://open.africa/dataset/national-health-facility-master-list-2018},
  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.