electricsheepafrica/africa-nigeria-liquefied-petroleum-gas-cooking-gas-price-watch-9be358f4

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

31 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 January 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	31	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-160-1172:lpg-jan-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 JAN 2025
year	Int64	Observation year.	2025
kebbi	string	Source column.	Sokoto
d_5240	float64	Source column.	5000.0
d_7000	float64	Source column.	7166.666666666667
d_6397_5	float64	Source column.	7006.666666666668
d_8_607142857142861	float64	Source column.	-2.232558139534873
d_22_08969465648856	float64	Source column.	40.13333333333336
taraba	string	Source column.	Sokoto
d_12600	float64	Source column.	12600.0
d_15733_333333333334	float64	Source column.	17500.0
d_15993_75	float64	Source column.	17516.666666666668
d_1_6551906779660897	float64	Source column.	0.095238095238102
d_26_93452380952381	float64	Source column.	39.021164021164026
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 January 2025 Tables
source_package_id	string	CKAN package UUID.	NGA-NBS-LPG
source_resource_id	string	CKAN resource UUID.	nbs-nada-160-1172
source_url	string	Original source resource URL.	https://microdata.nigerianstat.gov.ng/index.php/catalog/160/download/117
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-9be358f4")
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_9be358f4_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-9be358f4}}
}

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/1172