electricsheepafrica/africa-ghana-five-year-summary-report-of-business-company-registration-be46ee7a

FIVE YEAR SUMMARY REPORT OF BUSINESS/ COMPANY REGISTRATION IN GHANA | Africa (Ghana official open data)

131,546 rows - 1 Africa country - 2015-2016 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Ghana 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: FIVE YEAR SUMMARY REPORT OF BUSINESS/ COMPANY REGISTRATION IN GHANA
• Publisher: Official government open data portal
• Resource: Summary reports of business/company registration 2015-2016
• Format: CSV
• License: CC BY 4.0
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
GHA	131,546	2015	2016	Ghana

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.	dd5bc7f6-001c-4632-a860-103b67ea6381:0
country_iso3	string	ISO3 country code.	GHA
country_name	string	Country name.	Ghana
business_name	string	Source column.	BNJ ENTERPRISE
business_type	string	Source column.	Sole Proprietor
month_of_registration	string	Source column.	Jan
year_of_registration	int64	Source column.	2015
nature_of_business	string	Source column.	Commerce
principal_activity	string	Source column.	GENERAL TRADING
city	string	Source column.	CAPE COAST
region	string	Source column.	CENTRAL
source_period_start_year	Int64	First year inferred from source resource metadata.	2015
source_period_end_year	Int64	Last year inferred from source resource metadata.	2016
source_period_label	string	Human-readable period inferred from source resource metadata.	2015-2016
source_provider	string	Publishing organization.	Official government open data portal
source_dataset	string	Source package title.	FIVE YEAR SUMMARY REPORT OF BUSINESS/ COMPANY REGISTRATION IN GHANA
source_resource	string	Source resource title.	Summary reports of business/company registration 2015-2016
source_package_id	string	CKAN package UUID.	31627199-a44b-4b48-914a-b7950f7486df
source_resource_id	string	CKAN resource UUID.	dd5bc7f6-001c-4632-a860-103b67ea6381
source_url	string	Original source resource URL.	http://data.gov.gh/sites/default/files/2015_2016%20Registrations%20by%20
license_id	string	Source license identifier.	cc-by
retrieved_at	string	UTC retrieval timestamp.	2026-07-18T20:11:31Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-ghana-five-year-summary-report-of-business-company-registration-be46ee7a")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "GHA"]

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_ghana_five_year_summary_report_of_business_company_registration_be46ee7a_2016,
  title        = {FIVE YEAR SUMMARY REPORT OF BUSINESS/ COMPANY REGISTRATION IN GHANA | Africa (Ghana official open data)},
  author       = {Official government open data portal},
  year         = {2016},
  url          = {http://data.gov.gh/dataset/five-year-summary-report-business-company-registration-ghana-2},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-ghana-five-year-summary-report-of-business-company-registration-be46ee7a}}
}

License

Released under CC BY 4.0.

Original data (c) Official government open data portal. 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 2026-07-18 via the Electric Sheep pipeline. Source URL: http://data.gov.gh/sites/default/files/2015_2016%20Registrations%20by%20Region%2CDistrict%20and%20Sector.csv