electricsheepafrica/africa-nigeria-national-household-kerosene-price-watch-f643bd35

National Household Kerosene 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 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

• Source: National Household Kerosene Price Watch
• Publisher: National Bureau of Statistics, Nigeria
• Resource: NHK January 2025 Tables
• Format: XLSX
• 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-159-1176:nhk-jan-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.	NHK JAN 2025
year	Int64	Observation year.	2025
north_central	string	Source column.	Abuja
d_1479_1005291005306	float64	Source column.	1666.6666666666667
d_2278_76109076109	float64	Source column.	2950.0
d_2177_762608952381	float64	Source column.	2844.66666666667
d_4_432166330125303	float64	Source column.	-3.570621468926433
d_47_23560475478433	float64	Source column.	70.6800000000002
north_central_2	string	Source column.	Abuja
d_4606_428571428572	float64	Source column.	4500.0
d_6227_8359497645215	float64	Source column.	6650.0
d_7902_074597428572	float64	Source column.	7351.0
d_26_883152690098626	float64	Source column.	10.541353383458656
d_71_5444942843852	float64	Source column.	63.355555555555554
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.	National Household Kerosene Price Watch
source_resource	string	Source resource title.	NHK January 2025 Tables
source_package_id	string	CKAN package UUID.	NGA-NBS-NHK
source_resource_id	string	CKAN resource UUID.	nbs-nada-159-1176
source_url	string	Original source resource URL.	https://microdata.nigerianstat.gov.ng/index.php/catalog/159/download/117
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-national-household-kerosene-price-watch-f643bd35")
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_national_household_kerosene_price_watch_f643bd35_2025,
  title        = {National Household Kerosene Price Watch | Africa (Nigeria official open data)},
  author       = {National Bureau of Statistics, Nigeria},
  year         = {2025},
  url          = {https://microdata.nigerianstat.gov.ng/index.php/catalog/159/related-materials},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-nigeria-national-household-kerosene-price-watch-f643bd35}}
}

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/159/download/1176