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electricsheepafrica/africa-niger-niger-most-likely-fews-net-acutely-food-insecure-populatio-aece7e8a

Niger Most Likely FEWS NET Acutely Food Insecure Population Estimates Data | Africa (Niger official open data) 864 rows - 1 Africa country - 2023-2026 - 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: Niger Most… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-niger-niger-most-likely-fews-net-acutely-food-insecure-populatio-aece7e8a.

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Dataset Card

Niger Most Likely FEWS NET Acutely Food Insecure Population Estimates Data | Africa (Niger official open data)

864 rows - 1 Africa country - 2023-2026 - 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
NER86420232026Niger

Indicators or Resource Contents

  • —niger-most-likely-fews-net-acutely-food-insecure-population-estimates-da-0aca8f9c - Niger Most Likely FEWS NET Acutely Food Insecure Population Estimates Data - row
  • —niger-most-likely-fews-net-acutely-food-insecure-population-estimates-da-07319b42 - Niger Most Likely FEWS NET Acutely Food Insecure Population Estimates Data - low value
  • —niger-most-likely-fews-net-acutely-food-insecure-population-estimates-da-3bdf1acf - Niger Most Likely FEWS NET Acutely Food Insecure Population Estimates Data - high value
  • —niger-most-likely-fews-net-acutely-food-insecure-population-estimates-da-bb069f9b - Niger Most Likely FEWS NET Acutely Food Insecure Population Estimates Data - value
  • —niger-most-likely-fews-net-acutely-food-insecure-population-estimates-da-30492a2c - Niger Most Likely FEWS NET Acutely Food Insecure Population Estimates Data - pct population min
  • —niger-most-likely-fews-net-acutely-food-insecure-population-estimates-da-a701a0b2 - Niger Most Likely FEWS NET Acutely Food Insecure Population Estimates Data - pct population max
  • —niger-most-likely-fews-net-acutely-food-insecure-population-estimates-da-fe980bf5 - Niger Most Likely FEWS NET Acutely Food Insecure Population Estimates Data - id
  • —niger-most-likely-fews-net-acutely-food-insecure-population-estimates-da-4d9d99a0 - Niger Most Likely FEWS NET Acutely Food Insecure Population Estimates Data - datacollectionperiod
  • —niger-most-likely-fews-net-acutely-food-insecure-population-estimates-da-602cdaec - Niger Most Likely FEWS NET Acutely Food Insecure Population Estimates Data - datacollection
  • —niger-most-likely-fews-net-acutely-food-insecure-population-estimates-da-9fd3f81e - Niger Most Likely FEWS NET Acutely Food Insecure Population Estimates Data - geographic unit
  • —niger-most-likely-fews-net-acutely-food-insecure-population-estimates-da-47e45bf8 - Niger Most Likely FEWS NET Acutely Food Insecure Population Estimates Data - datasourceorganization
  • —niger-most-likely-fews-net-acutely-food-insecure-population-estimates-da-b0e40af7 - Niger Most Likely FEWS NET Acutely Food Insecure Population Estimates Data - datasourcedocument
  • —niger-most-likely-fews-net-acutely-food-insecure-population-estimates-da-fd2f8039 - Niger Most Likely FEWS NET Acutely Food Insecure Population Estimates Data - dataseries

Schema

ColumnTypeDescriptionExample
indicator_idstringStable indicator identifier.niger-most-likely-fews-net-acutely-food-insecure-population-estimates-da
indicator_namestringHuman-readable indicator name.Niger Most Likely FEWS NET Acutely Food Insecure Population Estimates Da
country_iso3stringISO3 country code.NER
source_sheetstringWorkbook sheet name, when the source is a spreadsheet.Sheet1
country_namestringCountry name.Niger
yearInt64Observation year.2023
valuefloat64Numeric observation value.0.0
unitstringMeasurement unit, when available.source_units_unspecified
dimension_source_organizationstringSource dimension.FEWS NET
dimension_source_documentstringSource dimension.Food Assistance Outlook Brief
dimension_countrystringSource dimension.Niger
dimension_country_codestringSource dimension.NE
dimension_geographic_groupstringSource dimension.Western Africa
dimension_fewsnet_regionstringSource dimension.West Africa
dimension_geographic_unit_full_namestringSource dimension.Niger
dimension_geographic_unit_namestringSource dimension.Niger
dimension_fnidstringSource dimension.NE
dimension_admin_0stringSource dimension.Niger
dimension_phasestringSource dimension.3+
dimension_scenario_namestringSource dimension.Most Likely
dimension_classification_scalestringSource dimension.IPC 3.1
dimension_indicator_namestringSource dimension.IPC Population Size
dimension_indicator_abbreviationstringSource dimension.fipe:pop_size
dimension_projection_startstringSource dimension.2019-07-01
dimension_projection_endstringSource dimension.2019-07-31
dimension_statusstringSource dimension.Collected
dimension_comparison_to_one_year_agostringSource dimension.``
dimension_comparison_to_five_year_averagestringSource dimension.``
dimension_key_shocksstringSource dimension.``
dimension_areas_of_highest_concernstringSource dimension.``
dimension_scenariostringSource dimension.ML
dimension_document_typestringSource dimension.IPCPopulation
dimension_dataseries_namestringSource dimension.Niger (Open Ended): IPC 3.1: Phase 3 and above: Most Likely
dimension_specialization_typestringSource dimension./IPCPopulationSize/
dimension_dataseries_specialization_typestringSource dimension./IPCPopulation/
dimension_data_usage_policystringSource dimension.Public
dimension_createdstringSource dimension.2023-07-19T20:21:42
dimension_modifiedstringSource dimension.2023-07-19T20:21:42
dimension_collection_statusstringSource dimension.Published
dimension_collection_status_changedstringSource dimension.2023-07-19T20:37:35
dimension_collection_schedulestringSource dimension.Ad Hoc
dimension_reporting_datestringSource dimension.2019-01-01
dimension_phase_namestringSource dimension.Phase 3 and above
dimension_population_rangestringSource dimension.1.0 - 2.49 million
dimension_descriptionstringSource dimension.1.0 - 2.49 million
source_period_start_yearInt64First year inferred from source resource metadata.2019
source_period_end_yearInt64Last year inferred from source resource metadata.2019
source_period_labelcategoryHuman-readable period inferred from source resource metadata.2019
source_providercategoryPublishing organization.FEWS NET
source_datasetcategorySource package title.Niger Most Likely FEWS NET Acutely Food Insecure Population Estimates Da
source_resourcecategorySource resource title.Niger Most Likely FEWS NET Acutely Food Insecure Population Estimates Da
source_package_idcategoryCKAN package UUID.f9463137-a7b8-46c8-bd2c-bda21f05cc27
source_resource_idcategoryCKAN resource UUID.89b5b7c5-3745-4465-bd60-3623a018d182
source_urlcategoryOriginal source resource URL.https://fdw.fews.net/api/ipcpopulationsize/?preference=best&country=NE&s
license_idcategorySource license identifier.cc-by
retrieved_atcategoryUTC retrieval timestamp.2026-08-14T00:35:21Z

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-niger-niger-most-likely-fews-net-acutely-food-insecure-populatio-aece7e8a")
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_most_likely_fews_net_acutely_food_insecure_populatio_aece7e8a_2026,
  title        = {Niger Most Likely FEWS NET Acutely Food Insecure Population Estimates Data | Africa (Niger official open data)},
  author       = {FEWS NET},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/niger_most_likely_fewsnet_fipe},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-niger-niger-most-likely-fews-net-acutely-food-insecure-populatio-aece7e8a}}
}

License

Released under CC BY 4.0.

Original data (c) FEWS NET. 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://fdw.fews.net/api/ipcpopulationsize/?preference=best&country=NE&scenario=ML&format=xlsx