electricsheepafrica/africa-nigeria-national-household-kerosene-price-watch-6d2f71fd

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

102 rows - 1 Africa country - 2026 - 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 Feb-Mar 2026
• Format: ZIP
• License: Other open license
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
NGA	102	2026	2026	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-159-1404:nhk-feb26-xlsx-sheet1:0
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_FEB26.xlsx::Sheet1
year	Int64	Observation year.	2026
north_central	string	Source column.	Abuja
d_2155_480851440476	float64	Source column.	2700.0
d_2237_684135766547	float64	Source column.	1981.62745098039
d_2294_4512853933493	float64	Source column.	2151.1802941416668
d_2_53687054037033	float64	Source column.	8.556242147200393
d_6_447305428856012	float64	Source column.	-20.32665577253087
north_central_2	string	Source column.	Abuja
d_7812_520974339285	float64	Source column.	7450.0
d_10069_578610949462	float64	Source column.	8917.323529411755
d_10325_030784270073	float64	Source column.	9680.3113236375
d_2_5368705403703444	float64	Source column.	8.556242147200393
d_32_1600392265606	float64	Source column.	29.937064746812094
source_period_start_year	Int64	First year inferred from source resource metadata.	2026
source_period_end_year	Int64	Last year inferred from source resource metadata.	2026
source_period_label	string	Human-readable period inferred from source resource metadata.	2026
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 Feb-Mar 2026
source_package_id	string	CKAN package UUID.	NGA-NBS-NHK
source_resource_id	string	CKAN resource UUID.	nbs-nada-159-1404
source_url	string	Original source resource URL.	https://microdata.nigerianstat.gov.ng/index.php/catalog/159/download/140
license_id	string	Source license identifier.	other-open
retrieved_at	string	UTC retrieval timestamp.	2026-07-19T04:13:01Z
d_2137_60115790594	float64	Source column.	``
d_2377_53019705958	float64	Source column.	``
d_3_6208618677205067	float64	Source column.	``
d_11_224219179815663	float64	Source column.	``
d_7893_261774480903	float64	Source column.	``
d_10698_88588676811	float64	Source column.	``
d_3_6208618677204782	float64	Source column.	``
d_35_54454663289965	float64	Source column.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-nigeria-national-household-kerosene-price-watch-6d2f71fd")
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_6d2f71fd_2026,
  title        = {National Household Kerosene Price Watch | Africa (Nigeria official open data)},
  author       = {National Bureau of Statistics, Nigeria},
  year         = {2026},
  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-6d2f71fd}}
}

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/1404