Datasets:

electricsheepafrica
/

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

---
license: cc-by-sa-4.0
language:
- en
task_categories:
- tabular-regression
- time-series-forecasting
multilinguality: monolingual
size_categories:
- 1K<n<10K
tags:
- tabular
- xlsx
- africa
- mali
- official-statistics
- open-data
- ict
- health
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-00000-of-00001.parquet
pretty_name: "Attacks on Health Care Data | Africa (Mali official open data)"
---

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

1,603 rows - 1 Africa country - 2020-2023 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

![rows](https://img.shields.io/badge/rows-1603-blue)
![countries](https://img.shields.io/badge/countries-1-green)
![years](https://img.shields.io/badge/years-2020-2023-orange)
![indicators](https://img.shields.io/badge/indicators-19-purple)
![license](https://img.shields.io/badge/license-cc-by-sa-4.0-lightgrey)

## 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](https://data.humdata.org/dataset/sind-safeguarding-healthcare-monthly-news-briefs-dataset)
- **Publisher:** Insecurity Insight
- **Resource:** [2020-2023 Looting of Health Supplies Across the Sahel Incident Data.xlsx](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)
- **Format:** `XLSX`
- **License:** [CC BY-SA](https://creativecommons.org/licenses/by-sa/4.0/)
- **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

```python
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

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

### Work with indicators

```python
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

```bibtex
@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](https://creativecommons.org/licenses/by-sa/4.0/).

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](https://huggingface.co/electricsheepafrica)

---

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