electricsheepafrica/africa-ghana-2018-2019-business-and-company-registration-data-55f332af

2018 - 2019 Business and Company registration data | Africa (Ghana official open data)

113,001 rows - 1 Africa country - 2018-2019 - 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: 2018 - 2019 Business and Company registration data
• Publisher: Official government open data portal
• Resource: 2018 - 2019 Business and Company registration data
• Format: CSV
• License: CC BY 4.0
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
GHA	113,001	2018	2019	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.	35079484-3dd0-4419-94e1-a6ef7d292fdd:0
country_iso3	string	ISO3 country code.	GHA
country_name	string	Country name.	Ghana
businessname	string	Source column.	QUAJOES ENTERPRISE
businesstype	string	Source column.	Sole Proprietor
monthofregistration	string	Source column.	Jan
registrationyear	float64	Source column.	2018.0
nature_of_business	string	Source column.	Commerce
principal_activity	string	Source column.	1. SALE OF BUILDING MATERIALS 2. SERVICING OF HEAVY DUTY EQUIPMENTS 3. S
city	string	Source column.	TARKWA
region	string	Source column.	WESTERN
source_period_start_year	Int64	First year inferred from source resource metadata.	2018
source_period_end_year	Int64	Last year inferred from source resource metadata.	2019
source_period_label	string	Human-readable period inferred from source resource metadata.	2018-2019
source_provider	string	Publishing organization.	Official government open data portal
source_dataset	string	Source package title.	2018 - 2019 Business and Company registration data
source_resource	string	Source resource title.	2018 - 2019 Business and Company registration data
source_package_id	string	CKAN package UUID.	5a31280f-5e6c-4983-9690-8b29d5d914b5
source_resource_id	string	CKAN resource UUID.	35079484-3dd0-4419-94e1-a6ef7d292fdd
source_url	string	Original source resource URL.	http://data.gov.gh/sites/default/files/2018_2019%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-2018-2019-business-and-company-registration-data-55f332af")
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_2018_2019_business_and_company_registration_data_55f332af_2019,
  title        = {2018 - 2019 Business and Company registration data | Africa (Ghana official open data)},
  author       = {Official government open data portal},
  year         = {2019},
  url          = {http://data.gov.gh/dataset/2018-2019-business-and-company-registration-data},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-ghana-2018-2019-business-and-company-registration-data-55f332af}}
}

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/2018_2019%20Registrations%20by%20Region%2CDistrict%20and%20Sector.csv