electricsheepafrica/africa-nigeria-cost-of-healthy-diet-09781733

Cost Of Healthy Diet | Africa (Nigeria official open data)

190 rows - 1 Africa country - 2026 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official ZIP 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: Cost Of Healthy Diet
• Publisher: National Bureau of Statistics, Nigeria
• Resource: Cost of Healthy Diet Report January-February 2026
• Format: ZIP
• License: Other open license
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
NGA	190	2026	2026	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-146-1407:february-2026-table-xlsx-cohd-by: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.	February 2026_Table.xlsx::CoHD by national average
year	Int64	Observation year.	2026
state	string	Source column.	Ekiti
cohd_average	float64	Source column.	2074.756428560179
source_period_start_year	Int64	First year inferred from source resource metadata.	2026
source_period_end_year	Int64	Last year inferred from source resource metadata.	2026
source_period_label	string	Human-readable period inferred from source resource metadata.	2026
source_provider	string	Publishing organization.	National Bureau of Statistics, Nigeria
source_dataset	string	Source package title.	Cost Of Healthy Diet
source_resource	string	Source resource title.	Cost of Healthy Diet Report January-February 2026
source_package_id	string	CKAN package UUID.	NGA-NBS-COHD
source_resource_id	string	CKAN resource UUID.	nbs-nada-146-1407
source_url	string	Original source resource URL.	https://microdata.nigerianstat.gov.ng/index.php/catalog/146/download/140
license_id	string	Source license identifier.	other-open
retrieved_at	string	UTC retrieval timestamp.	2026-07-19T04:13:01Z
zone	string	Source column.	``
cohd_urban	float64	Source column.	``
cohd_rural	float64	Source column.	``
value	string	Numeric observation value.	``
2025	string	Source column.	``
2025_2	string	Source column.	``
2025_3	string	Source column.	``
2025_4	string	Source column.	``
2025_5	string	Source column.	``
2025_6	string	Source column.	``
2025_7	string	Source column.	``
2025_8	string	Source column.	``
2025_9	string	Source column.	``
2025_10	string	Source column.	``
2025_11	string	Source column.	``
2026	string	Source column.	``
2026_2	string	Source column.	``
national	string	Source column.	``
food_group	string	Source column.	``
daily_cost	float64	Source column.	``
2025_12	string	Source column.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-nigeria-cost-of-healthy-diet-09781733")
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_cost_of_healthy_diet_09781733_2026,
  title        = {Cost Of Healthy Diet | Africa (Nigeria official open data)},
  author       = {National Bureau of Statistics, Nigeria},
  year         = {2026},
  url          = {https://microdata.nigerianstat.gov.ng/index.php/catalog/146/related-materials},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-nigeria-cost-of-healthy-diet-09781733}}
}

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/146/download/1407