electricsheepafrica/africa-nigeria-national-household-kerosene-price-watch-bee8e728

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

51 rows - 1 Africa country - 2024 - 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 November 2024 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	2024	2024	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-159-1133:sheet5:0
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.	Sheet5
year	Int64	Observation year.	2024
north_central	string	Source column.	Abuja
d_1234_948979591835	float64	Source column.	1512.5
d_2242_674201064777	float64	Source column.	2875.0
d_2262_3532664890085	float64	Source column.	2900.33333333333
d_0_877482133378451	float64	Source column.	0.8811594202897197
d_83_19406743724284	float64	Source column.	91.75757575757552
north_central_2	string	Source column.	Abuja
d_4588_0952380952385	float64	Source column.	4500.0
d_6176_202336834174	float64	Source column.	6600.75
d_6202_56555640811	float64	Source column.	6630.01875
d_0_4268516174852124	float64	Source column.	0.4434155209635264
d_35_18824772659087	float64	Source column.	47.33375000000001
source_period_start_year	Int64	First year inferred from source resource metadata.	2024
source_period_end_year	Int64	Last year inferred from source resource metadata.	2024
source_period_label	string	Human-readable period inferred from source resource metadata.	2024
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 November 2024 Tables
source_package_id	string	CKAN package UUID.	NGA-NBS-NHK
source_resource_id	string	CKAN resource UUID.	nbs-nada-159-1133
source_url	string	Original source resource URL.	https://microdata.nigerianstat.gov.ng/index.php/catalog/159/download/113
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-bee8e728")
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_bee8e728_2024,
  title        = {National Household Kerosene Price Watch | Africa (Nigeria official open data)},
  author       = {National Bureau of Statistics, Nigeria},
  year         = {2024},
  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-bee8e728}}
}

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/1133