electricsheepafrica/africa-nigeria-commodity-price-indices-and-terms-of-trade-f6ac1377

Commodity Price Indices and Terms of Trade | Africa (Nigeria official open data)

150 rows - 1 Africa country - 2025 - 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: Commodity Price Indices and Terms of Trade
• Publisher: National Bureau of Statistics, Nigeria
• Resource: Q4 2025 Commodity Price Indices and Terms of Trade
• Format: ZIP
• License: Other open license
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
NGA	150	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-167-1393:q4-2025-commodity-price-indices: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.	Q4_2025_Commodity_Price_Indices_and_Terms_of_Trade_Tables.xlsx::Table1
year	Int64	Observation year.	2025
live_animals_animal_products	string	Source column.	Vegetable products
d_100	float64	Source column.	100.0
d_112_68552261060577	float64	Source column.	110.9668441231528
d_112_75035839666599	float64	Source column.	111.04347353821788
d_112_713644932564	float64	Source column.	111.016480739482
d_0_05753692626892288	float64	Source column.	0.0690561362455622
d_0_032561727185674884	float64	Source column.	-0.0243083162619057
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.	Commodity Price Indices and Terms of Trade
source_resource	string	Source resource title.	Q4 2025 Commodity Price Indices and Terms of Trade
source_package_id	string	CKAN package UUID.	NGA-NBS-TOT
source_resource_id	string	CKAN resource UUID.	nbs-nada-167-1393
source_url	string	Original source resource URL.	https://microdata.nigerianstat.gov.ng/index.php/catalog/167/download/139
license_id	string	Source license identifier.	other-open
retrieved_at	string	UTC retrieval timestamp.	2026-07-19T04:13:01Z
d_106_72147857988	float64	Source column.	``
d_106_728770553083	float64	Source column.	``
d_106_767897075297	float64	Source column.	``
d_0_00683271380796878	float64	Source column.	``
d_0_036659770379857244	float64	Source column.	``
commodity_group	string	Source column.	``
jan_2018	float64	Source column.	``
oct_2025	float64	Source column.	``
nov_2025	float64	Source column.	``
dec_2025	float64	Source column.	``
nov_2025_2	float64	Source column.	``
dec_2025_2	float64	Source column.	``
africa	string	Source column.	``
d_103_64304069656235	float64	Source column.	``
d_103_65587344053654	float64	Source column.	``
d_103_64829082360093	float64	Source column.	``
d_0_012381674532067538	float64	Source column.	``
d_0_007315183099544813	float64	Source column.	``
region	string	Source column.	``
product_code	string	Source column.	``
product_description	string	Source column.	``
value_n	string	Source column.	``
product_code_2	string	Source column.	``
product_description_2	string	Source column.	``
value_n_2	string	Source column.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-nigeria-commodity-price-indices-and-terms-of-trade-f6ac1377")
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_commodity_price_indices_and_terms_of_trade_f6ac1377_2025,
  title        = {Commodity Price Indices and Terms of Trade | Africa (Nigeria official open data)},
  author       = {National Bureau of Statistics, Nigeria},
  year         = {2025},
  url          = {https://microdata.nigerianstat.gov.ng/index.php/catalog/167/related-materials},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-nigeria-commodity-price-indices-and-terms-of-trade-f6ac1377}}
}

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/167/download/1393