electricsheepafrica/africa-nigeria-liquefied-petroleum-gas-cooking-gas-price-watch-9f7f5ad6

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

52 rows - 1 Africa country - 2026 - 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 April 2026
• Format: ZIP
• License: Other open license
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
NGA	52	2026	2026	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-160-1413:0
country_iso3	string	ISO3 country code.	NGA
country_name	string	Country name.	Nigeria
year	Int64	Observation year.	2026
states	string	Source column.	NORTH CENTRAL
average_of_apr_25	float64	Source column.	7432.218771930892
average_of_mar_26	float64	Source column.	7665.030263593456
average_of_apr_26	float64	Source column.	8774.687496918155
mom	float64	Source column.	14.476880001312338
yoy	float64	Source column.	18.062825734588657
states_2	string	Source column.	NORTH CENTRAL
average_of_apr_25_2	float64	Source column.	19330.54692982723
average_of_mar_26_2	float64	Source column.	19984.00423041221
average_of_apr_26_2	float64	Source column.	22865.290170866818
mom_2	float64	Source column.	14.417961021394234
yoy_2	float64	Source column.	18.285790122086222
source_period_start_year	Int64	First year inferred from source resource metadata.	2026
source_period_end_year	Int64	Last year inferred from source resource metadata.	2026
source_period_label	string	Human-readable period inferred from source resource metadata.	2026
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 April 2026
source_package_id	string	CKAN package UUID.	NGA-NBS-LPG
source_resource_id	string	CKAN resource UUID.	nbs-nada-160-1413
source_url	string	Original source resource URL.	https://microdata.nigerianstat.gov.ng/index.php/catalog/160/download/141
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-9f7f5ad6")
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_9f7f5ad6_2026,
  title        = {Liquefied Petroleum Gas (Cooking Gas) Price Watch | Africa (Nigeria official open data)},
  author       = {National Bureau of Statistics, Nigeria},
  year         = {2026},
  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-9f7f5ad6}}
}

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/1413