electricsheepafrica/africa-nigeria-liquefied-petroleum-gas-cooking-gas-price-watch-edc5bb80

Liquefied Petroleum Gas (Cooking Gas) Price Watch | Africa (Nigeria official open data)

51 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: Liquefied Petroleum Gas (Cooking Gas) Price Watch
• Publisher: National Bureau of Statistics, Nigeria
• Resource: LPG March 2025 Tables
• Format: XLSX
• License: Other open license
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
NGA	51	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-160-1223:lpg-mar-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.	LPG MAR 2025
year	Int64	Observation year.	2025
north_central	string	Source column.	Abuja
d_6442_522239665096	float64	Source column.	6820.0
d_6963_809523809524	float64	Source column.	7020.0
d_7047_232459538007	float64	Source column.	7144.1904
d_1_1979497061666677	float64	Source column.	1.7690940170940197
d_9_386234107968633	float64	Source column.	4.753524926686211
north_central_2	string	Source column.	Abuja
d_15957_81462585034	float64	Source column.	15965.0
d_17166_666666666664	float64	Source column.	17550.0
d_17296_652577416444	float64	Source column.	17110.476
d_0_7571994800958066	float64	Source column.	-2.5044102564102677
d_8_38985777787704	float64	Source column.	7.174920137801436
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.	Liquefied Petroleum Gas (Cooking Gas) Price Watch
source_resource	string	Source resource title.	LPG March 2025 Tables
source_package_id	string	CKAN package UUID.	NGA-NBS-LPG
source_resource_id	string	CKAN resource UUID.	nbs-nada-160-1223
source_url	string	Original source resource URL.	https://microdata.nigerianstat.gov.ng/index.php/catalog/160/download/122
license_id	string	Source license identifier.	other-open
retrieved_at	string	UTC retrieval timestamp.	2026-07-19T04:13:01Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-nigeria-liquefied-petroleum-gas-cooking-gas-price-watch-edc5bb80")
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_liquefied_petroleum_gas_cooking_gas_price_watch_edc5bb80_2025,
  title        = {Liquefied Petroleum Gas (Cooking Gas) Price Watch | Africa (Nigeria official open data)},
  author       = {National Bureau of Statistics, Nigeria},
  year         = {2025},
  url          = {https://microdata.nigerianstat.gov.ng/index.php/catalog/160/related-materials},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-nigeria-liquefied-petroleum-gas-cooking-gas-price-watch-edc5bb80}}
}

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/160/download/1223