electricsheepafrica/africa-nigeria-liquefied-petroleum-gas-cooking-gas-price-watch-8e159f76

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 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 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	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-160-1306:0
country_iso3	string	ISO3 country code.	NGA
country_name	string	Country name.	Nigeria
year	Int64	Observation year.	2025
kebbi	string	Source column.	Sokoto
d_5950	float64	Source column.	6433.333333333333
d_6457_166666666681	float64	Source column.	6559.54285714284
d_6279_07822	float64	Source column.	6454.438
d_2_757996747799808	float64	Source column.	-1.6023198480727814
d_5_530726386554633	float64	Source column.	0.3280518134715038
taraba	string	Source column.	Sokoto
d_15306_25	float64	Source column.	16250.0
d_16142_9166666667	float64	Source column.	16398.8571428571
d_16197_69555	float64	Source column.	16236.095
d_0_3393369640965318	float64	Source column.	-0.9925212558363938
d_5_8240623928133886	float64	Source column.	-0.0855692307692379
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 September 2025
source_package_id	string	CKAN package UUID.	NGA-NBS-LPG
source_resource_id	string	CKAN resource UUID.	nbs-nada-160-1306
source_url	string	Original source resource URL.	https://microdata.nigerianstat.gov.ng/index.php/catalog/160/download/130
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-8e159f76")
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_8e159f76_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-8e159f76}}
}

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/1306