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metadata
license: other
language:
  - en
task_categories:
  - tabular-classification
  - tabular-regression
multilinguality: monolingual
size_categories:
  - n<1K
tags:
  - tabular
  - zip
  - africa
  - nigeria
  - official-statistics
  - open-data
pretty_name: >-
  Sectorial Distribution of Value Added Tax | Africa (Nigeria official open
  data)

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

33 rows - 1 Africa country - 2025 - Repackaged by Electric Sheep Africa

rows countries years indicators license

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

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


Provenance: ingested 2026-07-19 via the Electric Sheep pipeline. Source URL: https://microdata.nigerianstat.gov.ng/index.php/catalog/144/download/1367