electricsheepafrica/africa-egypt-capmas-births-and-deaths-statistics-983ccccf

Births and Deaths Statistics | Africa (CAPMAS Egypt Open Data)

10,989 rows - 1 Africa country/area - 2010-2023 - 86 indicators - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

TL;DR

This dataset contains 10,989 rows from CAPMAS Egypt Open Data, covering Births and Deaths Statistics. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Demographic datasets help analysts understand population structure, household conditions, migration, gender, age, and settlement patterns.

This dataset covers Births and Deaths Statistics 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

Geographic Coverage

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

Indicators, Variables, Or Resource Contents

• —4254 - Deaths by Marital Status(Number)
• —4524 - Estimated population in the country by gender(Number)
• —4210 - Deaths According to the Main Categories of Causes of Death(Number)
• —4060 - Deaths according to the International Classification of Diseases (Short List of Cause of Death No. 2)(Number)
• —4543 - Estimated population within the Republic according to geographical division(Number)
• —4530 - Estimated population within the republic by governorates(Number)
• —4547 - Estimated population of districts and centers in the governorates of the Republic(Number)
• —4623 - Live Birth Rates by Governorate(Rates per 1000)
• —4628 - Mortality Rates by Governorate(Rates per 1000)
• —4619 - Natural Increase Rates by Governorates(Rates per 1000)
• —4637 - Child Mortality Under Five According to Geographic Division(Number)
• —4636 - Child Mortality Under Five by Governorates(Number)
• —4632 - Infant Mortality by Governorates(Number)
• —4638 - Child Mortality Under Five by Gender(Number)
• —4643 - Infant Mortality by Geographic Division(Number)
• —4631 - Infant Mortality by Gender(Number)
• —4649 - Infant deaths from one month to less than one year by cause of death(Number)
• —4474 - Number of deaths by gender(Number)
• —4662 - Early neonatal mortality by age(Number)
• —4185 - Deaths by Age Groups(Number)
• —... 66 more indicators

Schema

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-egypt-capmas-births-and-deaths-statistics-983ccccf")
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: Births and Deaths Statistics
• —License: Source-specific or other license
• —Retrieved/generated: 2026-08-08T13:12:30Z
• —Hugging Face repo: electricsheepafrica/africa-egypt-capmas-births-and-deaths-statistics-983ccccf

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

• —Build demographic profiles
• —Normalize indicators per capita
• —Join with service-delivery datasets
• —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_births_and_deaths_statistics_983ccccf_2023,
  title        = {Births and Deaths Statistics | 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-births-and-deaths-statistics-983ccccf}}
}

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.

Provenance: README standardized 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://www.capmas.gov.eg