electricsheepafrica/africa-nigeria-sectorial-distribution-of-value-added-tax-93738320

Sectorial Distribution of Value Added Tax | Africa (Nigeria official open data)

33 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: Sectorial Distribution of Value Added Tax
• Publisher: National Bureau of Statistics, Nigeria
• Resource: Q3 2025 Value Added Tax Report
• Format: ZIP
• License: Other open license
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
NGA	33	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-144-1367:0
country_iso3	string	ISO3 country code.	NGA
country_name	string	Country name.	Nigeria
year	Int64	Observation year.	2025
s_no	float64	Source column.	1.0
classification	string	Source column.	Agricultural and Plantations
value_added_tax	float64	Source column.	986040359.3600004
value_added_tax_2	float64	Source column.	760027461.81
s_no_2	float64	Source column.	1.0
classification_2	string	Source column.	Accommodation and food service activities
vat	float64	Source column.	3705451942.290017
vat_2	float64	Source column.	4240103965.4800186
s_no_3	float64	Source column.	1.0
classification_3	string	Source column.	Accommodation and food service activities
vat_3	float64	Source column.	3682274009.360012
vat_4	float64	Source column.	5244847632.839991
vat_5	float64	Source column.	5475499410.829984
vat_6	float64	Source column.	5075921853.713215
total	float64	Source column.	19478542906.7432
vat_7	float64	Source column.	5569337421.519998
vat_8	float64	Source column.	5600239661.9800005
vat_9	float64	Source column.	6256635920.549988
vat_10	float64	Source column.	7186395308.54
total_2	float64	Source column.	24612608312.58999
vat_11	float64	Source column.	11437027539.30998
vat_12	float64	Source column.	10341770557.289972
vat_13	float64	Source column.	11795487600.829931
vat_14	float64	Source column.	13048682612.53996
total_3	float64	Source column.	46622968309.96985
vat_15	float64	Source column.	13576714797.349953
vat_16	float64	Source column.	11992652204.309977
vat_17	float64	Source column.	13239844086.47992
qonq	float64	Source column.	10.399633549964244
yony	float64	Source column.	12.244991767431156
share	float64	Source column.	1.1787937509132425
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.	Sectorial Distribution of Value Added Tax
source_resource	string	Source resource title.	Q3 2025 Value Added Tax Report
source_package_id	string	CKAN package UUID.	NGA-NBS-VAT
source_resource_id	string	CKAN resource UUID.	nbs-nada-144-1367
source_url	string	Original source resource URL.	https://microdata.nigerianstat.gov.ng/index.php/catalog/144/download/136
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-sectorial-distribution-of-value-added-tax-93738320")
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_sectorial_distribution_of_value_added_tax_93738320_2025,
  title        = {Sectorial Distribution of Value Added Tax | Africa (Nigeria official open data)},
  author       = {National Bureau of Statistics, Nigeria},
  year         = {2025},
  url          = {https://microdata.nigerianstat.gov.ng/index.php/catalog/144/related-materials},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-nigeria-sectorial-distribution-of-value-added-tax-93738320}}
}

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/144/download/1367