electricsheepafrica/africa-nigeria-automotive-gas-oil-diesel-price-watch-067ab651

Automotive Gas Oil (Diesel) Price Watch | Africa (Nigeria official open data)

86 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: Automotive Gas Oil (Diesel) Price Watch
• Publisher: National Bureau of Statistics, Nigeria
• Resource: AGO Report August-September 2025
• Format: ZIP
• License: Other open license
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
NGA	86	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-158-1359:diesel-september-2025-xlsx-sheet: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.	DIESEL_SEPTEMBER_2025.xlsx::Sheet1
year	Int64	Observation year.	2025
north_central	string	Source column.	Abuja
d_1400_0523728005198	float64	Source column.	1262.25
d_1597_4023937650943	float64	Source column.	1510.93833333333
d_1297_6196512775846	float64	Source column.	1283.81808333333
d_6_844969722316563	float64	Source column.	1.7087013930148485
d_18_288596907608138	float64	Source column.	-15.03173524619915
south_east	string	Source column.	North Central
d_1275_408951107716	float64	Source column.	1297.6196512775846
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.	Automotive Gas Oil (Diesel) Price Watch
source_resource	string	Source resource title.	AGO Report August-September 2025
source_package_id	string	CKAN package UUID.	NGA-NBS-AGO
source_resource_id	string	CKAN resource UUID.	nbs-nada-158-1359
source_url	string	Original source resource URL.	https://microdata.nigerianstat.gov.ng/index.php/catalog/158/download/135
license_id	string	Source license identifier.	other-open
retrieved_at	string	UTC retrieval timestamp.	2026-07-19T04:13:01Z
d_1357_0713808505168	float64	Source column.	``
d_1873_9397274861299	float64	Source column.	``
d_17_537790336282487	float64	Source column.	``
d_14_214638944716171	float64	Source column.	``
d_1539_9788357524822	float64	Source column.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-nigeria-automotive-gas-oil-diesel-price-watch-067ab651")
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_automotive_gas_oil_diesel_price_watch_067ab651_2025,
  title        = {Automotive Gas Oil (Diesel) Price Watch | Africa (Nigeria official open data)},
  author       = {National Bureau of Statistics, Nigeria},
  year         = {2025},
  url          = {https://microdata.nigerianstat.gov.ng/index.php/catalog/158/related-materials},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-nigeria-automotive-gas-oil-diesel-price-watch-067ab651}}
}

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/158/download/1359