electricsheepafrica/africa-nigeria-commodity-price-indices-and-terms-of-trade-c510a4fc

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: Q1 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-167-1273:q1-2025-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.	Q1_2025_Commodity_Price_Indices_and_Terms_of_Trade_Tables_23062025.xlsx:
year	Int64	Observation year.	2025
live_animals_animal_products	string	Source column.	Vegetable products
d_100	float64	Source column.	100.0
d_112_5950494475726	float64	Source column.	110.8641387198996
d_112_76921359666358	float64	Source column.	111.0789420918916
d_112_712349753149	float64	Source column.	111.634971582171
d_0_15468188872021915	float64	Source column.	0.1937537011266774
d_0_05042497123191748	float64	Source column.	0.5005714672898277
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.	Q1 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-167-1273
source_url	string	Original source resource URL.	https://microdata.nigerianstat.gov.ng/index.php/catalog/167/download/127
license_id	string	Source license identifier.	other-open
retrieved_at	string	UTC retrieval timestamp.	2026-07-19T04:13:01Z
d_104_215886144583	float64	Source column.	``
d_104_341285631892	float64	Source column.	``
d_104_156432088203	float64	Source column.	``
d_0_12032665263243922	float64	Source column.	``
d_0_17716241712906508	float64	Source column.	``
d_0_1414070327169222	float64	Source column.	``
d_0_4936549695548178	float64	Source column.	``
commodity_group	string	Source column.	``
jan_2018	float64	Source column.	``
jan_2025	float64	Source column.	``
feb_2025	float64	Source column.	``
mar_2025	float64	Source column.	``
feb_2025_2	float64	Source column.	``
mar_2025_2	float64	Source column.	``
africa	string	Source column.	``
d_103_50299418747002	float64	Source column.	``
d_103_57303364017851	float64	Source column.	``
d_103_72704272917953	float64	Source column.	``
d_0_06766901118012704	float64	Source column.	``
d_0_14869612638369034	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-c510a4fc")
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_c510a4fc_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-c510a4fc}}
}

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/1273