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electricsheepafrica/africa-niger-niger-ner-attacks-on-aid-operations-education-food-and-wat-b809ec78

Niger (NER): Attacks on Aid Operations, Education, Food and Water Systems and Health Care | Africa (Niger official open data) 102 rows - 1 Africa country - 2024-2026 - Repackaged by Electric Sheep Africa TL;DR This dataset packages one official XLSX resource from Niger 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:… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-niger-niger-ner-attacks-on-aid-operations-education-food-and-wat-b809ec78.

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Dataset Card

Niger (NER): Attacks on Aid Operations, Education, Food and Water Systems and Health Care | Africa (Niger official open data)

102 rows - 1 Africa country - 2024-2026 - Repackaged by Electric Sheep Africa

rows countries years indicators license

TL;DR

This dataset packages one official XLSX resource from Niger 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

Geographic coverage

1 Africa country:

CountryRowsFirst yearLast yearName
NER10220242026Niger

Indicators or Resource Contents

  • —niger-ner-attacks-on-aid-operations-education-food-and-water-systems-and-1cda5c33 - Niger (NER): Attacks on Aid Operations, Education, Food and Water Systems and Health Care - aid infrastructure damaged destroyed
  • —niger-ner-attacks-on-aid-operations-education-food-and-water-systems-and-2a4d80ee - Niger (NER): Attacks on Aid Operations, Education, Food and Water Systems and Health Care - health infrastructure damaged destroyed
  • —niger-ner-attacks-on-aid-operations-education-food-and-water-systems-and-ce753433 - Niger (NER): Attacks on Aid Operations, Education, Food and Water Systems and Health Care - education infrastructure damaged destroyed
  • —niger-ner-attacks-on-aid-operations-education-food-and-water-systems-and-2e5c8d8a - Niger (NER): Attacks on Aid Operations, Education, Food and Water Systems and Health Care - idp refugee camp building
  • —niger-ner-attacks-on-aid-operations-education-food-and-water-systems-and-f10d9d20 - Niger (NER): Attacks on Aid Operations, Education, Food and Water Systems and Health Care - aid workers killed
  • —niger-ner-attacks-on-aid-operations-education-food-and-water-systems-and-ccebc991 - Niger (NER): Attacks on Aid Operations, Education, Food and Water Systems and Health Care - educators killed
  • —niger-ner-attacks-on-aid-operations-education-food-and-water-systems-and-8600add3 - Niger (NER): Attacks on Aid Operations, Education, Food and Water Systems and Health Care - sind event id

Schema

ColumnTypeDescriptionExample
indicator_idstringStable indicator identifier.niger-ner-attacks-on-aid-operations-education-food-and-water-systems-and
indicator_namestringHuman-readable indicator name.Niger (NER): Attacks on Aid Operations, Education, Food and Water System
country_iso3stringISO3 country code.NER
source_sheetstringWorkbook sheet name, when the source is a spreadsheet.Sheet1
country_namestringCountry name.Niger
yearInt64Observation year.2026
valuefloat64Numeric observation value.0.0
unitstringMeasurement unit, when available.source_units_unspecified
dimension_datestringSource dimension.2025-11-07 00:00:00
dimension_countrystringSource dimension.Niger
dimension_country_isostringSource dimension.NER
dimension_admin_1stringSource dimension.Tillabéri Region
dimension_geo_precisionstringSource dimension.censored
dimension_sector_affectedstringSource dimension.Food Systems
dimension_providerstringSource dimension.Not Applicable
dimension_launch_typestringSource dimension.Air-Launched: Drone
dimension_explosive_weapon_typestringSource dimension.Aerial Bomb
dimension_reported_perpetratorstringSource dimension.Government: Military
dimension_reported_perpetrator_namestringSource dimension.Niger Armed Forces
dimension_affectedstringSource dimension.Other
dimension_food_systems_damaged_destroyedstringSource dimension.Other
dimension_water_systems_damaged_destroyedstringSource dimension.``
dimension_date_event_enteredstringSource dimension.2025-12-29 00:00:00
source_period_start_yearInt64First year inferred from source resource metadata.2020
source_period_end_yearInt64Last year inferred from source resource metadata.2025
source_period_labelcategoryHuman-readable period inferred from source resource metadata.2020-2025
source_providercategoryPublishing organization.Insecurity Insight
source_datasetcategorySource package title.Niger (NER): Attacks on Aid Operations, Education, Food and Water System
source_resourcecategorySource resource title.2020-2025 NER Explosive Weapons Incident Data.xlsx
source_package_idcategoryCKAN package UUID.50a644b7-49d4-4841-af87-7aa42a12acd0
source_resource_idcategoryCKAN resource UUID.553386f1-f1d7-4a55-b940-9a64e4abda55
source_urlcategoryOriginal source resource URL.https://data.humdata.org/dataset/50a644b7-49d4-4841-af87-7aa42a12acd0/re
license_idcategorySource license identifier.cc-by-sa
retrieved_atcategoryUTC retrieval timestamp.2026-08-14T00:35:21Z

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-niger-niger-ner-attacks-on-aid-operations-education-food-and-wat-b809ec78")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python
sample_country = df[df["country_iso3"] == "NER"]

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_niger_niger_ner_attacks_on_aid_operations_education_food_and_wat_b809ec78_2026,
  title        = {Niger (NER): Attacks on Aid Operations, Education, Food and Water Systems and Health Care | Africa (Niger official open data)},
  author       = {Insecurity Insight},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/niger-violence-against-cvilians-and-vital-civilian-facilities},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-niger-niger-ner-attacks-on-aid-operations-education-food-and-wat-b809ec78}}
}

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 2026-08-14 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/50a644b7-49d4-4841-af87-7aa42a12acd0/resource/553386f1-f1d7-4a55-b940-9a64e4abda55/download/2020-2025-ner-explosive-weapons-incident-data.xlsx