electricsheepafrica/africa-egypt-capmas-car-and-train-accidents-d6f43a90

Car and Train Accidents | Africa (CAPMAS Egypt Open Data)

3,565 rows - 1 Africa country/area - 2010-2023 - 96 indicators - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 3,565 rows from CAPMAS Egypt Open Data, covering Car and Train Accidents. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Climate and environment datasets help analysts study exposure, resource conditions, environmental pressure, and climate-related trends.

This dataset covers Car and Train Accidents from CAPMAS Egypt Open Data. Use the source and schema sections below to confirm definitions, units, and collection methodology before sensitive analytical use.

How To Read This Dataset

• One row means: one indicator observation for one geography, time period, and optional source dimensions.
• Primary geography column: source metadata (EGY).
• Best time column: year.
• Time coverage basis: year.
• Recommended join keys: year, indicator_id, plus source-specific dimension columns.

Coverage

Dimension	Value
Rows	3,565
Countries/areas	1
First period	2010
Last period	2023
Indicators	96
Columns	12
Source format	PARQUET

Geographic Coverage

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

Area	Rows	First year	Last year	Name
EGY	3,565	2010	2023	Egypt

Indicators, Variables, Or Resource Contents

• 2929 - Total Road Traffic Accidents of Cars Compared to Total Accidents(Number)
• 2933 - Total number of passengers in trains(Million)
• 2904 - Total Number of Car Accidents(Number)
• 2928 - Total distribution of train accidents according to the level of regions in the republic(Number)
• 2932 - Total cases of train accidents in the central region(Number)
• 2931 - Total Cases of Train Accidents in the Northern Region (Delta)(Number)
• 2914 - Total Train Accidents Nationwide(Number)
• 2920 - Total Train Accidents and Their Results(Number)
• 2918 - Total Number of Train Accidents(Number)
• 2907 - Estimated total population in mid-year(Number)
• 2935 - Rate per million passengers of train accidents, fatalities, and injuries compared to the total number of passengers.(Rate)
• 2916 - Injury rate in road traffic accidents involving cars (Injured / 100,000 vehicles)(Rate)
• 2924 - Death rate in road traffic accidents (deaths per month - deaths per day - deaths per hour)(Rate)
• 2911 - Death rate in road traffic accidents (deaths per 100,000 population)(Rate)
• 2922 - Rate of car accidents on roads (accident/month - accident/day - accident/hour)(Rate)
• 2912 - Injury Rate in Road Traffic Accidents (Injured / Month - Injured / Day - Injured / Hour)(Rate)
• 2919 - Train Accident Rate(Rate)
• 2908 - Rate of Car Accidents (Accident per 10,000 Population)(Rate)
• 2910 - Death rate in road traffic accidents (deaths per 100,000 vehicles)(Rate)
• 2917 - Injury rate in road traffic accidents involving cars (injured per 100,000 population)(Rate)
• ... 76 more indicators

Schema

Column	Type	Description	Example
filter_id	string	Source column from the original resource.	60
filter_ar	string	Source column from the original resource.	الإجمالي
filter_en	string	Source column from the original resource.	Total
value	double	Numeric observation value.	16830.0
year	int64	Observation year.	2011
quarter	null	Source column from the original resource.	``
month	null	Source column from the original resource.	``
indicator_id	string	Stable source or Electric Sheep Africa indicator identifier.	2929
indicator_name	string	Human-readable indicator name.	Total Road Traffic Accidents of Cars Compared to Total Accidents
indicator_name_ar	string	Source column from the original resource.	إجمالى حوادث السيارات على الطرق السريعة ومقارنتها بإجمالى الحوادث
unit	string	Measurement unit, when supplied by the source.	Number
periodicity	string	Source column from the original resource.	Annually

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-egypt-capmas-car-and-train-accidents-d6f43a90")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

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

Filter By Geography

# This dataset is scoped to Egypt in source metadata.
sample = df.copy()

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: CAPMAS Egypt Open Data
• Publisher: Central Agency for Public Mobilisation and Statistics (CAPMAS), Egypt
• Portal: https://www.capmas.gov.eg
• Resource: Car and Train Accidents
• License: Source-specific or other license
• Retrieved/generated: 2026-08-08T13:12:21Z
• Hugging Face repo: electricsheepafrica/africa-egypt-capmas-car-and-train-accidents-d6f43a90

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

• Analyze seasonal or annual patterns
• Join with agriculture or health data
• Map geographic exposure
• Build time-series views and period-over-period comparisons
• Pivot to indicator x period matrices
• Check missingness before modeling
• Use source or repo metadata for country scope when a geography column is not present

Citation

@misc{electric_sheep_africa_africa_egypt_capmas_car_and_train_accidents_d6f43a90_2023,
  title        = {Car and Train Accidents | Africa (CAPMAS Egypt Open Data)},
  author       = {Central Agency for Public Mobilisation and Statistics (CAPMAS), Egypt},
  year         = {2023},
  url          = {https://www.capmas.gov.eg},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-egypt-capmas-car-and-train-accidents-d6f43a90}}
}

License

Released under Source-specific or other license.

Original data is published by Central Agency for Public Mobilisation and Statistics (CAPMAS), Egypt. 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: https://www.capmas.gov.eg