electricsheepafrica/africa-ghana-road-accidents-and-casualties-in-ghana-52a4ad2d

Road Accidents and Casualties in Ghana | Africa (Ghana official open data)

205 rows - 1 Africa country - 2001-2011 - 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: Road Accidents and Casualties in Ghana
• Publisher: Official government open data portal
• Resource: The Nature and Consequences of Road Traffic Crashes Central Region
• Format: CSV
• License: Open Data Commons Attribution License
• Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
GHA	205	2001	2011	Ghana

Indicators or Resource Contents

• road-accidents-and-casualties-in-ghana-unnamed-2-c167dda3 - Road Accidents and Casualties in Ghana - unnamed 2
• road-accidents-and-casualties-in-ghana-unnamed-3-3d58cddb - Road Accidents and Casualties in Ghana - unnamed 3
• road-accidents-and-casualties-in-ghana-unnamed-4-ad2e50b4 - Road Accidents and Casualties in Ghana - unnamed 4
• road-accidents-and-casualties-in-ghana-unnamed-5-83e627d1 - Road Accidents and Casualties in Ghana - unnamed 5
• road-accidents-and-casualties-in-ghana-unnamed-6-0c826f2e - Road Accidents and Casualties in Ghana - unnamed 6

Schema

Column	Type	Description	Example
indicator_id	string	Stable indicator identifier.	road-accidents-and-casualties-in-ghana-unnamed-2-c167dda3
indicator_name	string	Human-readable indicator name.	Road Accidents and Casualties in Ghana - unnamed 2
country_iso3	string	ISO3 country code.	GHA
country_name	string	Country name.	Ghana
year	Int64	Observation year.	2011
value	float64	Numeric observation value.	132.0
unit	string	Measurement unit, when available.	source_units_unspecified
dimension_the_nature_and_consequences_of_road_traffic_cr	string	Source dimension.	Head On
source_period_start_year	Int64	First year inferred from source resource metadata.	2001
source_period_end_year	Int64	Last year inferred from source resource metadata.	2011
source_period_label	string	Human-readable period inferred from source resource metadata.	2001-2011
source_provider	string	Publishing organization.	Official government open data portal
source_dataset	string	Source package title.	Road Accidents and Casualties in Ghana
source_resource	string	Source resource title.	The Nature and Consequences of Road Traffic Crashes Central Region
source_package_id	string	CKAN package UUID.	8da4913c-b3e9-415a-bd17-e52abac01cce
source_resource_id	string	CKAN resource UUID.	c8ea5e79-836d-47f4-b421-c522e547b26d
source_url	string	Original source resource URL.	http://data.gov.gh/sites/default/files/The%20Nature%20and%20Consequences
license_id	string	Source license identifier.	odc-by
retrieved_at	string	UTC retrieval timestamp.	2026-07-18T20:11:31Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-ghana-road-accidents-and-casualties-in-ghana-52a4ad2d")
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_road_accidents_and_casualties_in_ghana_52a4ad2d_2011,
  title        = {Road Accidents and Casualties in Ghana | Africa (Ghana official open data)},
  author       = {Official government open data portal},
  year         = {2011},
  url          = {http://data.gov.gh/dataset/road-accidents-and-casualties-ghana},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-ghana-road-accidents-and-casualties-in-ghana-52a4ad2d}}
}

License

Released under Open Data Commons Attribution License.

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/The%20Nature%20and%20Consequences%20of%20Road%20Traffic%20Crashes%20Central%20Region.csv