electricsheepafrica/africa-covid-19-vaccine-doses-in-hrp-countries

COVID-19 Vaccine Doses in HRP Countries

Publisher: HDX · Source: HDX · License: cc-by-igo · Updated: 2026-03-30

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Abstract

This dataset contains COVID-19 vaccine dose availability forecasts as well as actual deliveries for countries with Humanitarian Response Plans. The data on vaccine availability forecasts was manually extracted from the COVAX Facility Interim Distribution Forecast as announced by COVAX on 3 February 2021. Figures for actual deliveries through channels other than COVAX are compiled by OCHA from press reports. The source(s) press releases, official announcements or articles for each such vaccine delivery are included in the dataset.

Each row in this dataset represents country-level aggregates. Data was last updated on HDX on 2026-03-30. Geographic scope: AFG, BFA, CMR, CAF, TCD, COL, COD, ETH, and 18 others.

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

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Dataset Characteristics

Domain	Public health
Unit of observation	Country-level aggregates
Rows (total)	31
Columns	16 (0 numeric, 16 categorical, 0 datetime)
Train split	24 rows
Test split	6 rows
Geographic scope	AFG, BFA, CMR, CAF, TCD, COL, COD, ETH, and 18 others
Publisher	HDX
HDX last updated	2026-03-30

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Variables

Geographic — country (#country+name, Mali, Yemen), iso3 (#country+code, MLI, YEM), population_undesa (#population+total, 20,250,834, 29,825,968), covax_forecast_total (0, #capacity+covax+total, 1,332,000), covax_astrazeneca_sii (0, #capacity+covax+azsii+doses, 3,600,000) and 5 others.

Outcome / Measurement — total_delivered.

Identifier / Metadata — deprecataed_other_delivered_source_urls, esa_source, esa_processed.

Other — sfp_amc (AMC, SFP, #meta+participant_status), other_delivered (#capacity+others+delivered+doses, 1,900,000, 80,000).

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-covid-19-vaccine-doses-in-hrp-countries")
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
country	object	0.0%	#country+name, Mali, Yemen
iso3	object	0.0%	#country+code, MLI, YEM
sfp_amc	object	3.2%	AMC, SFP, #meta+participant_status
population_undesa	object	0.0%	#population+total, 20,250,834, 29,825,968
covax_forecast_total	object	0.0%	0, #capacity+covax+total, 1,332,000
covax_astrazeneca_sii	object	3.2%	0, #capacity+covax+azsii+doses, 3,600,000
covax_astrazeneca_skbio	object	0.0%	0, #capacity+covax+azskbio+doses, 2,066,400
covax_pfizer_biontech	object	0.0%	0, 117,000, #capacity+covax+pfizerbiontech+doses
covax_delivered	object	0.0%	#capacity+covax+delivered+doses, 4,319,050, 2,516,000
other_delivered	object	0.0%	#capacity+others+delivered+doses, 1,900,000, 80,000
total_delivered	object	0.0%
population_covered_two_dose	object	0.0%
deprecataed_other_delivered_source_country	object	64.5%
deprecataed_other_delivered_source_urls	object	71.0%
esa_source	object	0.0%
esa_processed	object	0.0%

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Numeric Summary

Column	Min	Max	Mean	Median
No numeric columns.

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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. 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 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: deprecataed_other_delivered_source_country, deprecataed_other_delivered_source_urls.
• This dataset spans 26 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_covid_19_vaccine_doses_in_hrp_countries,
  title     = {COVID-19 Vaccine Doses in HRP Countries},
  author    = {HDX},
  year      = {2026},
  url       = {https://data.humdata.org/dataset/covid-19-vaccine-doses-in-hrp-countries},
  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.