electricsheepafrica/africa-nigeria-selected-food-price-watch-753fbd7c

Selected Food Price Watch | Africa (Nigeria official open data)

84 rows - 1 Africa country - 2025 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official XLSX resource from Nigeria 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: Selected Food Price Watch
• Publisher: National Bureau of Statistics, Nigeria
• Resource: Selected Food Price Watch February Tables
• Format: XLSX
• License: Other open license
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
NGA	84	2025	2025	Nigeria

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.	nbs-nada-162-1239:selected-food-feb-2025:0
country_iso3	string	ISO3 country code.	NGA
country_name	string	Country name.	Nigeria
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	Selected Food Feb. 2025
year	Int64	Observation year.	2025
item_labels	string	Source column.	Agric hen eggs,
average_of_feb_24	float64	Source column.	139.28021228988646
average_of_jan_25	float64	Source column.	248.04139052252253
average_of_feb_25	float64	Source column.	251.94051654054056
mom	float64	Source column.	1.5719658762612756
yoy	float64	Source column.	80.88751617937811
highest	string	Source column.	Enugu (325)
lowest	string	Source column.	Adamawa (200)
source_period_start_year	Int64	First year inferred from source resource metadata.	2025
source_period_end_year	Int64	Last year inferred from source resource metadata.	2025
source_period_label	string	Human-readable period inferred from source resource metadata.	2025
source_provider	string	Publishing organization.	National Bureau of Statistics, Nigeria
source_dataset	string	Source package title.	Selected Food Price Watch
source_resource	string	Source resource title.	Selected Food Price Watch February Tables
source_package_id	string	CKAN package UUID.	NGA-NBS-FOODPW
source_resource_id	string	CKAN resource UUID.	nbs-nada-162-1239
source_url	string	Original source resource URL.	https://microdata.nigerianstat.gov.ng/index.php/catalog/162/download/123
license_id	string	Source license identifier.	other-open
retrieved_at	string	UTC retrieval timestamp.	2026-07-19T10:30:41Z
item_label	string	Source column.	``
north_central	float64	Source column.	``
north_east	float64	Source column.	``
north_west	float64	Source column.	``
south_east	float64	Source column.	``
south_south	float64	Source column.	``
south_west	float64	Source column.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-nigeria-selected-food-price-watch-753fbd7c")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "NGA"]

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_nigeria_selected_food_price_watch_753fbd7c_2025,
  title        = {Selected Food Price Watch | Africa (Nigeria official open data)},
  author       = {National Bureau of Statistics, Nigeria},
  year         = {2025},
  url          = {https://microdata.nigerianstat.gov.ng/index.php/catalog/162/related-materials},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-nigeria-selected-food-price-watch-753fbd7c}}
}

License

Released under Other open license.

Original data (c) National Bureau of Statistics, Nigeria. 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

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Provenance: ingested 2026-07-19 via the Electric Sheep pipeline. Source URL: https://microdata.nigerianstat.gov.ng/index.php/catalog/162/download/1239