electricsheepafrica/africa-mauritania-mauritania-coronavirus-covid-19-city-level-a1b7e744

Mauritania: Coronavirus (Covid-19) City level | Africa (Mauritania official open data)

24,976 rows - 1 Africa country - 2021 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official XLS resource from Mauritania as ML-ready Parquet. The source file is the provenance boundary; all usable indicators or tabular columns from the resource stay together in this repo.

About the source

• Source: Mauritania: Coronavirus (Covid-19) City level
• Publisher: HERA - Humanitarian Emergency Response Africa
• Resource: MRT_Covid19_Citylevel_HERA.xls
• Format: XLS
• License: CC BY 4.0
• Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
MRT	24,976	2021	2021	Mauritania

Indicators or Resource Contents

• mauritania-coronavirus-covid-19-city-level-id-0b7982c9 - Mauritania: Coronavirus (Covid-19) City level - id
• mauritania-coronavirus-covid-19-city-level-id-pays-26143671 - Mauritania: Coronavirus (Covid-19) City level - id pays
• mauritania-coronavirus-covid-19-city-level-id-region-ff542e03 - Mauritania: Coronavirus (Covid-19) City level - id region
• mauritania-coronavirus-covid-19-city-level-id-villes-2d7cff0f - Mauritania: Coronavirus (Covid-19) City level - id villes
• mauritania-coronavirus-covid-19-city-level-contamines-85481ca6 - Mauritania: Coronavirus (Covid-19) City level - contamines
• mauritania-coronavirus-covid-19-city-level-deces-1c0df130 - Mauritania: Coronavirus (Covid-19) City level - deces
• mauritania-coronavirus-covid-19-city-level-gueris-6bc947a1 - Mauritania: Coronavirus (Covid-19) City level - gueris
• mauritania-coronavirus-covid-19-city-level-femme-e6692223 - Mauritania: Coronavirus (Covid-19) City level - femme
• mauritania-coronavirus-covid-19-city-level-homme-0d8704f2 - Mauritania: Coronavirus (Covid-19) City level - homme
• mauritania-coronavirus-covid-19-city-level-genre-non-specifie-ba15da9e - Mauritania: Coronavirus (Covid-19) City level - genre non specifie

Schema

Column	Type	Description	Example
indicator_id	string	Stable indicator identifier.	mauritania-coronavirus-covid-19-city-level-id-0b7982c9
indicator_name	string	Human-readable indicator name.	Mauritania: Coronavirus (Covid-19) City level - id
country_iso3	string	ISO3 country code.	MRT
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	Feuil1
country_name	string	Country name.	Mauritania
year	Int64	Observation year.	2021
value	float64	Numeric observation value.	1.0
unit	string	Measurement unit, when available.	source_units_unspecified
dimension_iso_3	string	Source dimension.	MRT
dimension_pays	string	Source dimension.	Mauritanie
dimension_region	string	Source dimension.	Non spécifié
dimension_villes	string	Source dimension.	Non spécifié
dimension_source	string	Source dimension.	Ministère de la Santé
source_period_start_year	Int64	First year inferred from source resource metadata.	``
source_period_end_year	Int64	Last year inferred from source resource metadata.	``
source_period_label	string	Human-readable period inferred from source resource metadata.	``
source_provider	category	Publishing organization.	HERA - Humanitarian Emergency Response Africa
source_dataset	category	Source package title.	Mauritania: Coronavirus (Covid-19) City level
source_resource	category	Source resource title.	MRT_Covid19_Citylevel_HERA.xls
source_package_id	category	CKAN package UUID.	70cc6bfb-344e-456c-a235-73539f86dc8b
source_resource_id	category	CKAN resource UUID.	74f4aadb-31f2-4a11-a7d1-35a16b0b34c7
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/70cc6bfb-344e-456c-a235-73539f86dc8b/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-18T00:06:00Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mauritania-mauritania-coronavirus-covid-19-city-level-a1b7e744")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "MRT"]

Work with indicators

if "indicator_id" in df.columns:
    print(df["indicator_id"].value_counts().head())
    sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])

Citation

@misc{electric_sheep_africa_africa_mauritania_mauritania_coronavirus_covid_19_city_level_a1b7e744_2021,
  title        = {Mauritania: Coronavirus (Covid-19) City level | Africa (Mauritania official open data)},
  author       = {HERA - Humanitarian Emergency Response Africa},
  year         = {2021},
  url          = {https://data.humdata.org/dataset/mauritania-coronavirus-covid-19-city-level},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritania-mauritania-coronavirus-covid-19-city-level-a1b7e744}}
}

License

Released under CC BY 4.0.

Original data (c) HERA - Humanitarian Emergency Response Africa. When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging.

About Electric Sheep

Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa on Hugging Face. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.

Browse the full collection: huggingface.co/electricsheepafrica

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Provenance: ingested 2026-08-18 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/70cc6bfb-344e-456c-a235-73539f86dc8b/resource/74f4aadb-31f2-4a11-a7d1-35a16b0b34c7/download/mrt_covid19_citylevel_hera.xls