electricsheepafrica/africa-nigeria-company-income-tax-ed96585d

Company Income Tax | Africa (Nigeria official open data)

32 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: Company Income Tax
• Publisher: National Bureau of Statistics, Nigeria
• Resource: Q3 2024 Company Income Tax Tables
• Format: XLSX
• License: Other open license
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
NGA	32	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-145-1069:cit-2021-q3-2024:0
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.	CIT 2021-Q3 2024
year	Int64	Observation year.	2024
s_no	float64	Source column.	1.0
classification	string	Source column.	Agricultural and Plantations
q1_2021	float64	Source column.	924419833.1600002
q2_2021	float64	Source column.	2990066836.7000003
s_no_2	float64	Source column.	1.0
classification_2	string	Source column.	Accommodation and food service activities
q3_2021	float64	Source column.	1017108281.0599998
q4_2021	float64	Source column.	2197035527.2699995
s_no_3	float64	Source column.	1.0
classification_3	string	Source column.	Accommodation and food service activities
q1_2022	float64	Source column.	1075102402.12
q2_2022	float64	Source column.	6256323709.610002
q3_2022	float64	Source column.	2201658486.279999
q4_2022	float64	Source column.	1591121799.749268
total	float64	Source column.	11124206397.759268
q1_2023	float64	Source column.	1456506161.019999
q2_2023	float64	Source column.	9978664110.730003
q3_2023	float64	Source column.	3362441838.920002
q4_2023	float64	Source column.	3670971570.87
total_2	float64	Source column.	18468583681.540005
q1_2024	float64	Source column.	2525191865.01
q2_2024	float64	Source column.	12099665739.979992
q3_2024	float64	Source column.	3227642929.13
qonq	float64	Source column.	-73.32452814406973
yony	float64	Source column.	-4.008958853346245
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.	Company Income Tax
source_resource	string	Source resource title.	Q3 2024 Company Income Tax Tables
source_package_id	string	CKAN package UUID.	NGA-NBS-CIT
source_resource_id	string	CKAN resource UUID.	nbs-nada-145-1069
source_url	string	Original source resource URL.	https://microdata.nigerianstat.gov.ng/index.php/catalog/145/download/106
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-company-income-tax-ed96585d")
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_company_income_tax_ed96585d_2024,
  title        = {Company Income Tax | Africa (Nigeria official open data)},
  author       = {National Bureau of Statistics, Nigeria},
  year         = {2024},
  url          = {https://microdata.nigerianstat.gov.ng/index.php/catalog/145/related-materials},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-nigeria-company-income-tax-ed96585d}}
}

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/145/download/1069