electricsheepafrica/africa-ghana-trend-in-road-accidents-and-casualties-b5cbd8a8

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

120 rows - 1 Africa country - 1991-2010 - 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: Trend in Road Accidents and Casualties
• Publisher: Official government open data portal
• Resource: Trend in Road Accidents and Casualties in Northern Region 1991-2011
• Format: CSV
• License: CC BY 4.0
• Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
GHA	120	1991	2010	Ghana

Indicators or Resource Contents

• trend-in-road-accidents-and-casualties-unnamed-1-905d5a31 - Trend in Road Accidents and Casualties - unnamed 1
• trend-in-road-accidents-and-casualties-unnamed-2-468872a8 - Trend in Road Accidents and Casualties - unnamed 2
• trend-in-road-accidents-and-casualties-unnamed-3-4f6a1ac8 - Trend in Road Accidents and Casualties - unnamed 3
• trend-in-road-accidents-and-casualties-unnamed-4-08354365 - Trend in Road Accidents and Casualties - unnamed 4
• trend-in-road-accidents-and-casualties-unnamed-5-1c4e29be - Trend in Road Accidents and Casualties - unnamed 5
• trend-in-road-accidents-and-casualties-unnamed-6-c6bc41cb - Trend in Road Accidents and Casualties - unnamed 6

Schema

Column	Type	Description	Example
indicator_id	string	Stable indicator identifier.	trend-in-road-accidents-and-casualties-unnamed-1-905d5a31
indicator_name	string	Human-readable indicator name.	Trend in Road Accidents and Casualties - unnamed 1
country_iso3	string	ISO3 country code.	GHA
country_name	string	Country name.	Ghana
year	Int64	Observation year.	1991
value	float64	Numeric observation value.	148.0
unit	string	Measurement unit, when available.	source_units_unspecified
source_period_start_year	Int64	First year inferred from source resource metadata.	1991
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.	1991-2011
source_provider	string	Publishing organization.	Official government open data portal
source_dataset	string	Source package title.	Trend in Road Accidents and Casualties
source_resource	string	Source resource title.	Trend in Road Accidents and Casualties in Northern Region 1991-2011
source_package_id	string	CKAN package UUID.	331dbecd-213f-45a1-a8bc-d8df808e4a46
source_resource_id	string	CKAN resource UUID.	e04df11f-5bc0-40b1-b965-e79aa856b935
source_url	string	Original source resource URL.	http://data.gov.gh/sites/default/files/Trend%20in%20Road%20Accidents%20a
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-trend-in-road-accidents-and-casualties-b5cbd8a8")
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_trend_in_road_accidents_and_casualties_b5cbd8a8_2010,
  title        = {Trend in Road Accidents and Casualties | Africa (Ghana official open data)},
  author       = {Official government open data portal},
  year         = {2010},
  url          = {http://data.gov.gh/dataset/trend-road-accidents-and-casualties},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-ghana-trend-in-road-accidents-and-casualties-b5cbd8a8}}
}

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/Trend%20in%20Road%20Accidents%20and%20Casualties%20in%20Northern%20Region%201991-2011.csv