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license: cc-by-4.0
language:
- en
task_categories:
- tabular-classification
- tabular-regression
multilinguality: monolingual
size_categories:
- 100K<n<1M
tags:
- tabular
- csv
- africa
- ghana
- official-statistics
- open-data
pretty_name: "FIVE YEAR SUMMARY REPORT OF BUSINESS/ COMPANY REGISTRATION IN GHANA | Africa (Ghana official open data)"
---
# 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](https://huggingface.co/electricsheepafrica)
## 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](http://data.gov.gh/dataset/five-year-summary-report-business-company-registration-ghana-2)
- **Publisher:** Official government open data portal
- **Resource:** [Summary reports of business/company registration 2015-2016](http://data.gov.gh/sites/default/files/2015_2016%20Registrations%20by%20Region%2CDistrict%20and%20Sector.csv)
- **Format:** `CSV`
- **License:** [CC BY 4.0](https://creativecommons.org/licenses/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
```python
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
```python
sample_country = df[df["country_iso3"] == "GHA"]
```
### Work with indicators
```python
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
```bibtex
@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](https://creativecommons.org/licenses/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](https://huggingface.co/electricsheepafrica)
---
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
|