electricsheepafrica/africa-nigeria-liquefied-petroleum-gas-cooking-gas-price-watch-1bbb56ee

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 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: Liquefied Petroleum Gas (Cooking Gas) Price Watch
• Publisher: National Bureau of Statistics, Nigeria
• Resource: LPG Report July 2025
• Format: ZIP
• 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-160-1280:0
country_iso3	string	ISO3 country code.	NGA
country_name	string	Country name.	Nigeria
year	Int64	Observation year.	2025
north_central	string	Source column.	Abuja
d_6042_332931619161	float64	Source column.	5617.7
d_8072_905026148504	float64	Source column.	8120.862270608
d_8078_830141552423	float64	Source column.	8040.0
d_0_07339508373662795	float64	Source column.	-0.9957350329738546
d_33_703823224906984	float64	Source column.	43.11907008206205
north_central_2	string	Source column.	Abuja
d_13611_682851363203	float64	Source column.	13580.0
d_20491_80274452816	float64	Source column.	20302.15567652
d_20197_075353881057	float64	Source column.	20100.0
d_1_4382697038492722	float64	Source column.	-0.9957350329738546
d_48_380443288526436	float64	Source column.	48.01178203240059
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 Report July 2025
source_package_id	string	CKAN package UUID.	NGA-NBS-LPG
source_resource_id	string	CKAN resource UUID.	nbs-nada-160-1280
source_url	string	Original source resource URL.	https://microdata.nigerianstat.gov.ng/index.php/catalog/160/download/128
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-1bbb56ee")
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_1bbb56ee_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-1bbb56ee}}
}

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/1280