electricsheepafrica/africa-niger-niger-humanitarian-needs-2aafc4e7

Niger: Humanitarian Needs | Africa (Niger official open data)

107 rows - 1 Africa country - 2022 - 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: Niger: Humanitarian Needs
• Publisher: OCHA Humanitarian Programme Cycle Tools (HPC Tools)
• Resource: ner_hpc_needs_2022
• Format: XLSX
• License: CC BY 4.0
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
NER	107	2022	2022	Niger

Indicators or Resource Contents

• This source file is packaged as a normalized tabular resource.

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier for tabular resources.	c40803ac-455c-4e61-bf91-731dd8aac349:pin-cible-intersect-region:0
country_iso3	category	ISO3 country code.	NER
country_name	category	Country name.	Niger
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	PIN_CIBLE_INTERSECT_REGION
year	Int64	Observation year.	2022
region	string	Source column.	``
personnes_dans_le_besoin	float64	Source column.	``
personnes_ciblees	float64	Source column.	``
source_period_start_year	Int64	First year inferred from source resource metadata.	2022
source_period_end_year	Int64	Last year inferred from source resource metadata.	2022
source_period_label	category	Human-readable period inferred from source resource metadata.	2022
source_provider	category	Publishing organization.	OCHA Humanitarian Programme Cycle Tools (HPC Tools)
source_dataset	category	Source package title.	Niger: Humanitarian Needs
source_resource	category	Source resource title.	ner_hpc_needs_2022
source_package_id	category	CKAN package UUID.	9d930b4b-f292-4032-80a0-aeaff42a3e13
source_resource_id	category	CKAN resource UUID.	c40803ac-455c-4e61-bf91-731dd8aac349
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/9d930b4b-f292-4032-80a0-aeaff42a3e13/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-14T00:35:21Z
abna	string	Source column.	``
d_835086_2999999998	string	Source column.	``
d_582035	string	Source column.	``
d_0	float64	Source column.	``
d_8421558_11	float64	Source column.	``
d_1598077_5	float64	Source column.	``
d_7043217_3100000005	float64	Source column.	``
d_2430071_25	float64	Source column.	``
d_5858467_88	float64	Source column.	``
d_9921618_450000001	float64	Source column.	``
d_579637_5	float64	Source column.	``
d_35852648	float64	Source column.	``
departement	string	Source column.	``
secteurs	string	Source column.	``
education	float64	Source column.	``
eha	float64	Source column.	``
sante	float64	Source column.	``
nutrition	float64	Source column.	``
secal	float64	Source column.	``
protection	float64	Source column.	``
reponses_aux_refugies	float64	Source column.	``
pin_intersectoriel	float64	Source column.	``
nombre_de_projets	float64	Source column.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-niger-niger-humanitarian-needs-2aafc4e7")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

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

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_niger_niger_humanitarian_needs_2aafc4e7_2022,
  title        = {Niger: Humanitarian Needs | Africa (Niger official open data)},
  author       = {OCHA Humanitarian Programme Cycle Tools (HPC Tools)},
  year         = {2022},
  url          = {https://data.humdata.org/dataset/niger-humanitarian-needs},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-niger-niger-humanitarian-needs-2aafc4e7}}
}

License

Released under CC BY 4.0.

Original data (c) OCHA Humanitarian Programme Cycle Tools (HPC Tools). 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/9d930b4b-f292-4032-80a0-aeaff42a3e13/resource/c40803ac-455c-4e61-bf91-731dd8aac349/download/ner_hpc_2022.xlsx