electricsheepafrica/africa-nigeria-national-household-kerosene-price-watch-8679fce8

National Household Kerosene Price Watch | Africa (Nigeria official open data)

102 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: National Household Kerosene Price Watch
• Publisher: National Bureau of Statistics, Nigeria
• Resource: NHK Report Nov-Dec 2025
• Format: ZIP
• License: Other open license
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
NGA	102	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-159-1347:household-kerosene-november-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.	HOUSEHOLD_KEROSENE_NOVEMBER_2025__.xlsx::NHK NOVEMBER 2025
year	Int64	Observation year.	2025
north_central	string	Source column.	Abuja
d_2262_3532664890085	float64	Source column.	2900.33333333333
d_2702_800502298753	float64	Source column.	2153.49191666667
d_2578_388659173385	float64	Source column.	2106.23635083333
d_4_603071629576619	float64	Source column.	-2.1943693156037227
d_13_969321120871541	float64	Source column.	-27.379507499138057
north_central_2	string	Source column.	Abuja
d_6202_56555640811	float64	Source column.	6630.01875
d_10045_895609535155	float64	Source column.	9813.9676666667
d_9668_463251994526	float64	Source column.	9478.063578749983
d_3_757080226698605	float64	Source column.	-3.4227144344241083
d_55_87845326367673	float64	Source column.	42.956814092720094
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 Report Nov-Dec 2025
source_package_id	string	CKAN package UUID.	NGA-NBS-NHK
source_resource_id	string	CKAN resource UUID.	nbs-nada-159-1347
source_url	string	Original source resource URL.	https://microdata.nigerianstat.gov.ng/index.php/catalog/159/download/134
license_id	string	Source license identifier.	other-open
retrieved_at	string	UTC retrieval timestamp.	2026-07-19T04:13:01Z
d_2278_76109076109	float64	Source column.	``
d_2561_807885538757	float64	Source column.	``
d_0_6430672728735742	float64	Source column.	``
d_12_421082487551644	float64	Source column.	``
d_6227_8359497645215	float64	Source column.	``
d_9798_192866220048	float64	Source column.	``
d_1_3417811170638743	float64	Source column.	``
d_57_32901356514574	float64	Source column.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-nigeria-national-household-kerosene-price-watch-8679fce8")
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_8679fce8_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-8679fce8}}
}

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/1347