electricsheepafrica/africa-mali-attacks-on-health-care-data-2cc994d9

Attacks on Health Care Data | Africa (Mali official open data)

1,603 rows - 1 Africa country - 2020-2023 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official XLSX resource from Mali 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: Attacks on Health Care Data
• Publisher: Insecurity Insight
• Resource: 2020-2023 Looting of Health Supplies Across the Sahel Incident Data.xlsx
• Format: XLSX
• License: CC BY-SA
• Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
MLI	1,603	2020	2023	Mali

Indicators or Resource Contents

• attacks-on-health-care-data-latitude-63d8779e - Attacks on Health Care Data - latitude
• attacks-on-health-care-data-longitude-39e0c687 - Attacks on Health Care Data - longitude
• attacks-on-health-care-data-number-of-attacks-on-health-facilities-repor-dc077d83 - Attacks on Health Care Data - number of attacks on health facilities reporting destruc
• attacks-on-health-care-data-number-of-attacks-on-health-facilities-repor-73a301de - Attacks on Health Care Data - number of attacks on health facilities reporting damaged
• attacks-on-health-care-data-forceful-entry-into-health-facility-b17f075d - Attacks on Health Care Data - forceful entry into health facility
• attacks-on-health-care-data-occupation-of-health-facility-5054425f - Attacks on Health Care Data - occupation of health facility
• attacks-on-health-care-data-vicinity-of-health-facility-affected-555626a8 - Attacks on Health Care Data - vicinity of health facility affected
• attacks-on-health-care-data-health-transportation-destroyed-65b81695 - Attacks on Health Care Data - health transportation destroyed
• attacks-on-health-care-data-health-transportation-damaged-9726b0d9 - Attacks on Health Care Data - health transportation damaged
• attacks-on-health-care-data-health-transportation-stolen-hijacked-64dc2d9f - Attacks on Health Care Data - health transportation stolen hijacked
• attacks-on-health-care-data-looting-theft-robbery-burglary-of-health-sup-42ba2b28 - Attacks on Health Care Data - looting theft robbery burglary of health supplies
• attacks-on-health-care-data-health-workers-killed-eeceb68a - Attacks on Health Care Data - health workers killed
• attacks-on-health-care-data-health-workers-injured-320b7e0d - Attacks on Health Care Data - health workers injured
• attacks-on-health-care-data-health-workers-kidnapped-a15a8c88 - Attacks on Health Care Data - health workers kidnapped
• attacks-on-health-care-data-health-workers-arrested-94fd5bff - Attacks on Health Care Data - health workers arrested
• attacks-on-health-care-data-health-workers-threatened-230ced0d - Attacks on Health Care Data - health workers threatened
• attacks-on-health-care-data-health-workers-assaulted-b3f0e74d - Attacks on Health Care Data - health workers assaulted
• attacks-on-health-care-data-health-workers-sexually-assaulted-97506c05 - Attacks on Health Care Data - health workers sexually assaulted
• attacks-on-health-care-data-sind-event-id-b89f151b - Attacks on Health Care Data - sind event id

Schema

Column	Type	Description	Example
indicator_id	string	Stable indicator identifier.	attacks-on-health-care-data-latitude-63d8779e
indicator_name	string	Human-readable indicator name.	Attacks on Health Care Data - latitude
country_iso3	string	ISO3 country code.	MLI
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	Sheet1
country_name	string	Country name.	Mali
year	Int64	Observation year.	2023
value	float64	Numeric observation value.	13.7840368
unit	string	Measurement unit, when available.	source_units_unspecified
dimension_event_description	string	Source dimension.	November 2023: A pharmaceutical warehouse was ransacked and medical supp
dimension_country	string	Source dimension.	Burkina Faso
dimension_country_iso	string	Source dimension.	BFA
dimension_admin_1	string	Source dimension.	Sahel
dimension_geo_precision	string	Source dimension.	(2) 25 km Precision
dimension_reported_perpetrator	string	Source dimension.	NSA
dimension_reported_perpetrator_name	string	Source dimension.	Islamic State of the Greater Sahara
dimension_weapon_carried_used	string	Source dimension.	Firearms
dimension_location_of_incident	string	Source dimension.	Health Building
dimension_access_denied_or_obstructed	string	Source dimension.	False
dimension_known_kidnapping_or_arrest_outcome	string	Source dimension.	``
dimension_conflict_related_violence	string	Source dimension.	ConflictEvent
dimension_political_related_violence	string	Source dimension.	NotApplicable
dimension_covid_19_related_violence	string	Source dimension.	NotApplicable
dimension_ebola_related_violence	string	Source dimension.	NotApplicable
dimension_vaccination_related_violence	string	Source dimension.	NotApplicable
source_period_start_year	Int64	First year inferred from source resource metadata.	2020
source_period_end_year	Int64	Last year inferred from source resource metadata.	2023
source_period_label	category	Human-readable period inferred from source resource metadata.	2020-2023
source_provider	category	Publishing organization.	Insecurity Insight
source_dataset	category	Source package title.	Attacks on Health Care Data
source_resource	category	Source resource title.	2020-2023 Looting of Health Supplies Across the Sahel Incident Data.xlsx
source_package_id	category	CKAN package UUID.	3777392b-8dc6-4615-ab1d-8ea136075d93
source_resource_id	category	CKAN resource UUID.	be27556e-791c-4371-bdd6-febf0e2f360d
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/3777392b-8dc6-4615-ab1d-8ea136075d93/re
license_id	category	Source license identifier.	cc-by-sa
retrieved_at	category	UTC retrieval timestamp.	2026-08-12T23:12:09Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mali-attacks-on-health-care-data-2cc994d9")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "MLI"]

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_mali_attacks_on_health_care_data_2cc994d9_2023,
  title        = {Attacks on Health Care Data | Africa (Mali official open data)},
  author       = {Insecurity Insight},
  year         = {2023},
  url          = {https://data.humdata.org/dataset/sind-safeguarding-healthcare-monthly-news-briefs-dataset},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mali-attacks-on-health-care-data-2cc994d9}}
}

License

Released under CC BY-SA.

Original data (c) Insecurity Insight. 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 2026-08-13 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/3777392b-8dc6-4615-ab1d-8ea136075d93/resource/be27556e-791c-4371-bdd6-febf0e2f360d/download/2020-2023-looting-of-health-supplies-across-the-sahel-incident-data.xlsx