electricsheepafrica/africa-ghana-road-accidents-and-casualties-in-ghana-208e6282

Road Accidents and Casualties in Ghana | Africa (Ghana Open Data)

40 rows - 1 Africa country/area - 1991-2010 - 2 indicators - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 40 rows from Ghana Open Data, covering Road Accidents and Casualties in Ghana. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Transport datasets help analysts examine mobility, infrastructure, passenger movement, logistics, and access to services.

Source-provided context: Annual distribution of casualties by sex for the year 1991-2011

How To Read This Dataset

• One row means: one indicator observation for one geography, time period, and optional source dimensions.
• Primary geography column: country_iso3.
• Best time column: year.
• Time coverage basis: year.
• Recommended join keys: country_iso3, year, indicator_id.

Coverage

Dimension	Value
Rows	40
Countries/areas	1
First period	1991
Last period	2010
Indicators	2
Columns	18
Source format	CSV

Geographic Coverage

Top areas shown below, sorted by row count when available:

Area	Rows	First year	Last year	Name
GHA	40	1991	2010	Ghana

Indicators, Variables, Or Resource Contents

• road-accidents-and-casualties-in-ghana-unnamed-1-6f5cc82d - Road Accidents and Casualties in Ghana - unnamed 1(source_units_unspecified)
• road-accidents-and-casualties-in-ghana-unnamed-2-4145f78d - Road Accidents and Casualties in Ghana - unnamed 2(source_units_unspecified)

Schema

Column	Type	Description	Example
indicator_id	string	Stable source or Electric Sheep Africa indicator identifier.	road-accidents-and-casualties-in-ghana-unnamed-1-6f5cc82d
indicator_name	string	Human-readable indicator name.	Road Accidents and Casualties in Ghana - unnamed 1
country_iso3	string	ISO3 country or area code.	GHA
country_name	string	Country or area name.	Ghana
year	int64	Observation year.	1991
value	double	Numeric observation value.	6306.0
unit	string	Measurement unit, when supplied by the source.	source_units_unspecified
source_period_start_year	int64	Start year inferred from source metadata.	1991
source_period_end_year	int64	End year inferred from source metadata.	2011
source_period_label	string	Source column from the original resource.	1991-2011
source_provider	string	Publishing organization.	Official government open data portal
source_dataset	string	Source dataset or package title.	Road Accidents and Casualties in Ghana
source_resource	string	Source resource title, table name, or file name.	Annual Distribution of Casualties by Sex
source_package_id	string	Source package identifier.	8da4913c-b3e9-415a-bd17-e52abac01cce
source_resource_id	string	Source resource identifier.	b9504126-43ba-4a8f-ad18-295fbd5d88c4
source_url	string	Original source URL or download URL.	http://data.gov.gh/sites/default/files/Annual%20Distribution%20of%20C...
license_id	string	Source license identifier.	odc-by
retrieved_at	string	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	2026-07-18T20:11:31Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-ghana-road-accidents-and-casualties-in-ghana-208e6282")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

print(df.info())
print(df.head())

Filter By Geography

if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "GHA"]

Time-Series Pattern

if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("year")

Pivot For Analysis

if {"indicator_id", "year", "value"}.issubset(df.columns):
    matrix = df.pivot_table(index="year", columns="indicator_id", values="value")
    print(matrix.tail())

Data Quality Notes

• Canonical time field: year.
• Missing values are preserved rather than silently imputed.
• Column names are standardized for machine use; source meanings are preserved where known.
• Always confirm source methodology, units, and collection definitions before policy, production, or redistribution-sensitive use.

Source And Provenance

• Source: Ghana Open Data
• Publisher: Ghana official open data portal
• Portal: http://data.gov.gh
• Resource: Annual Distribution of Casualties by Sex
• License: Open Data Commons Attribution License
• Retrieved/generated: 2026-07-18T20:13:02Z
• Hugging Face repo: electricsheepafrica/africa-ghana-road-accidents-and-casualties-in-ghana-208e6282

Transformations Applied

• Converted the source table to Parquet for efficient analytics and ML workflows.
• Added or preserved source provenance columns where available.
• Standardized README metadata, dataset loading configuration, schema documentation, and citation format.
• Preserved source-reported values without analytical imputation.

Suggested Analyses

• Track mobility over time
• Compare routes or geographies
• Join with economic and population data
• Build time-series views and period-over-period comparisons
• Pivot to geography x period or indicator x period matrices
• Check missingness before modeling
• Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_ghana_road_accidents_and_casualties_in_ghana_208e6282_2010,
  title        = {Road Accidents and Casualties in Ghana | Africa (Ghana Open Data)},
  author       = {Ghana official open data portal},
  year         = {2010},
  url          = {http://data.gov.gh/dataset/road-accidents-and-casualties-ghana},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-ghana-road-accidents-and-casualties-in-ghana-208e6282}}
}

License

Released under Open Data Commons Attribution License.

Original data is published by Ghana official open data portal. Electric Sheep Africa engineering standardizes the data for discovery, loading, and analysis on Hugging Face. Cite both the original source and this ML-ready dataset when used.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.

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Provenance: README standardized 2026-08-11 by the Electric Sheep Africa README system. Source URL: http://data.gov.gh/dataset/road-accidents-and-casualties-ghana