electricsheepafrica/africa-congo-attacks-on-health-care-data-00869950

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

27,168 rows - 1 Africa country - 2026 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official XLSX resource from Congo 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: 2026 Attacks on Health Care Incident Data.xlsx
• —Format: XLSX
• —License: CC BY-SA
• —Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Indicators or Resource Contents

• —attacks-on-health-care-data-number-of-attacks-on-health-facilities-repor-83fe67cc - 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-865aa99f - Attacks on Health Care Data - number of attacks on health facilities reporting damaged
• —attacks-on-health-care-data-forceful-entry-into-health-facility-4606bb5d - Attacks on Health Care Data - forceful entry into health facility
• —attacks-on-health-care-data-occupation-of-health-facility-0d4eeefa - Attacks on Health Care Data - occupation of health facility
• —attacks-on-health-care-data-vicinity-of-health-facility-affected-703c2b67 - Attacks on Health Care Data - vicinity of health facility affected
• —attacks-on-health-care-data-health-transportation-destroyed-f3416995 - Attacks on Health Care Data - health transportation destroyed
• —attacks-on-health-care-data-health-transportation-damaged-1b4932e5 - Attacks on Health Care Data - health transportation damaged
• —attacks-on-health-care-data-health-transportation-stolen-hijacked-c4f67e3f - Attacks on Health Care Data - health transportation stolen hijacked
• —attacks-on-health-care-data-health-workers-killed-5d89dc6f - Attacks on Health Care Data - health workers killed
• —attacks-on-health-care-data-health-workers-injured-706e99b1 - Attacks on Health Care Data - health workers injured
• —attacks-on-health-care-data-health-workers-kidnapped-4db090f8 - Attacks on Health Care Data - health workers kidnapped
• —attacks-on-health-care-data-health-workers-arrested-8e04a112 - Attacks on Health Care Data - health workers arrested
• —attacks-on-health-care-data-health-workers-threatened-5cb006c3 - Attacks on Health Care Data - health workers threatened
• —attacks-on-health-care-data-health-workers-assaulted-333cd0d9 - Attacks on Health Care Data - health workers assaulted
• —attacks-on-health-care-data-health-workers-sexually-assaulted-eaa3b7c1 - Attacks on Health Care Data - health workers sexually assaulted
• —attacks-on-health-care-data-sind-event-id-e1b1b59c - Attacks on Health Care Data - sind event id

Schema

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-congo-attacks-on-health-care-data-00869950")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "COG"]

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_congo_attacks_on_health_care_data_00869950_2026,
  title        = {Attacks on Health Care Data | Africa (Congo official open data)},
  author       = {Insecurity Insight},
  year         = {2026},
  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-congo-attacks-on-health-care-data-00869950}}
}

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

Provenance: ingested 2026-08-16 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/3777392b-8dc6-4615-ab1d-8ea136075d93/resource/d835ea14-e6e9-4b40-9bbd-ab3c3a74a732/download/2026-attacks-on-health-care-incident-data.xlsx