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

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Tabular Classification
Tabular Regression
Modalities:
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africa
nigeria
official-statistics
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metadata 
license: other
language:
  - en
task_categories:
  - tabular-classification
  - tabular-regression
multilinguality: monolingual
size_categories:
  - n<1K
tags:
  - tabular
  - zip
  - africa
  - nigeria
  - official-statistics
  - open-data
  - energy
  - economics
pretty_name: >-
  Liquefied Petroleum Gas (Cooking Gas) Price Watch | Africa (Nigeria official
  open data)

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

51 rows - 1 Africa country - 2025 - Repackaged by Electric Sheep Africa

rows countries years indicators license

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

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

Provenance: ingested 2026-07-19 via the Electric Sheep pipeline. Source URL: https://microdata.nigerianstat.gov.ng/index.php/catalog/160/download/1280