electricsheepafrica/africa-ghana-road-user-class-by-casualty-severity-and-fatality-index-40f20bd3

Road User Class by Casualty Severity and Fatality Index | Africa (Ghana official open data)

124 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 User Class by Casualty Severity and Fatality Index
• Publisher: Official government open data portal
• Resource: Road User Class by Casualty Severity and Fatality Index Eastern Region
• Format: CSV
• License: CC BY 4.0
• Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
GHA	124	2001	2011	Ghana

Indicators or Resource Contents

• road-user-class-by-casualty-severity-and-fatality-index-unnamed-2-5c434b04 - Road User Class by Casualty Severity and Fatality Index - unnamed 2
• road-user-class-by-casualty-severity-and-fatality-index-unnamed-3-b3eb80d7 - Road User Class by Casualty Severity and Fatality Index - unnamed 3
• road-user-class-by-casualty-severity-and-fatality-index-unnamed-4-e3b50be6 - Road User Class by Casualty Severity and Fatality Index - unnamed 4
• road-user-class-by-casualty-severity-and-fatality-index-unnamed-5-39cf5b88 - Road User Class by Casualty Severity and Fatality Index - unnamed 5

Schema

Column	Type	Description	Example
indicator_id	string	Stable indicator identifier.	road-user-class-by-casualty-severity-and-fatality-index-unnamed-2-5c434b
indicator_name	string	Human-readable indicator name.	Road User Class by Casualty Severity and Fatality Index - 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.	98.0
unit	string	Measurement unit, when available.	source_units_unspecified
dimension_road_user_class_by_casualty_severity_and_fatal	string	Source dimension.	Pedestrian
source_period_start_year	Int64	First year inferred from source resource metadata.	``
source_period_end_year	Int64	Last year inferred from source resource metadata.	``
source_period_label	string	Human-readable period inferred from source resource metadata.	``
source_provider	string	Publishing organization.	Official government open data portal
source_dataset	string	Source package title.	Road User Class by Casualty Severity and Fatality Index
source_resource	string	Source resource title.	Road User Class by Casualty Severity and Fatality Index Eastern Region
source_package_id	string	CKAN package UUID.	285cfb0a-c6c9-495c-94a7-911ea577346a
source_resource_id	string	CKAN resource UUID.	4d58e874-47ad-48db-9eee-072719731547
source_url	string	Original source resource URL.	http://data.gov.gh/sites/default/files/Road%20User%20Class%20by%20Casual
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-road-user-class-by-casualty-severity-and-fatality-index-40f20bd3")
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_user_class_by_casualty_severity_and_fatality_index_40f20bd3_2011,
  title        = {Road User Class by Casualty Severity and Fatality Index | Africa (Ghana official open data)},
  author       = {Official government open data portal},
  year         = {2011},
  url          = {http://data.gov.gh/dataset/road-user-class-casualty-severity-and-fatality-index},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-ghana-road-user-class-by-casualty-severity-and-fatality-index-40f20bd3}}
}

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/Road%20User%20Class%20by%20Casualty%20Severity%20and%20Fatality%20Index%20Eastern%20Region.csv