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Add ML-ready official indicator dataset
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metadata
license: other
language:
  - en
task_categories:
  - tabular-classification
  - tabular-regression
multilinguality: monolingual
size_categories:
  - n<1K
tags:
  - tabular
  - xlsx
  - 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 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

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-160-1223:lpg-mar-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 MAR 2025
year Int64 Observation year. 2025
north_central string Source column. Abuja
d_6442_522239665096 float64 Source column. 6820.0
d_6963_809523809524 float64 Source column. 7020.0
d_7047_232459538007 float64 Source column. 7144.1904
d_1_1979497061666677 float64 Source column. 1.7690940170940197
d_9_386234107968633 float64 Source column. 4.753524926686211
north_central_2 string Source column. Abuja
d_15957_81462585034 float64 Source column. 15965.0
d_17166_666666666664 float64 Source column. 17550.0
d_17296_652577416444 float64 Source column. 17110.476
d_0_7571994800958066 float64 Source column. -2.5044102564102677
d_8_38985777787704 float64 Source column. 7.174920137801436
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 March 2025 Tables
source_package_id string CKAN package UUID. NGA-NBS-LPG
source_resource_id string CKAN resource UUID. nbs-nada-160-1223
source_url string Original source resource URL. https://microdata.nigerianstat.gov.ng/index.php/catalog/160/download/122
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-edc5bb80")
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_edc5bb80_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-edc5bb80}}
}

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/1223