electricsheepafrica/africa-egypt-capmas-enrolled-students-and-faculty-in-higher-education-dd168274

Enrolled Students and Faculty in Higher Education | Africa (CAPMAS Egypt Open Data)

5,967 rows - 1 Africa country/area - 2011-2023 - 116 indicators - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

TL;DR

This dataset contains 5,967 rows from CAPMAS Egypt Open Data, covering Enrolled Students and Faculty in Higher Education. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Education datasets help analysts study access, participation, learning systems, infrastructure, and outcomes across places and periods.

This dataset covers Enrolled Students and Faculty in Higher Education 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

• —3683 - Number of students enrolled in technological colleges by college(Number)
• —3679 - Number of students enrolled in technological colleges by gender for the academic year(Number)
• —3681 - Number of enrolled students in practical colleges by gender in public universities for the academic year(Number)
• —3676 - Number of students enrolled in government higher technical institutes by gender for the academic year(Number)
• —3664 - Total number of students enrolled in higher education according to educational institutions(Number)
• —3671 - Total faculty members and their assistants in private universities by gender for the academic year(Number)
• —3662 - Relative distribution of enrolled students in higher education institutions(Percentage)
• —3666 - Students enrolled in government and Al-Azhar universities by gender for the academic year(Number)
• —3672 - Students enrolled in private universities by gender for the academic year(Number)
• —3673 - Students enrolled in private higher institutes by gender for the academic year(Number)
• —3675 - Students enrolled in academies by gender for the academic year(Number)
• —3680 - Students enrolled in various private institutes by gender for the academic year(Number)
• —3724 - Number of Faculty Members in Academies by Gender(Number)
• —3771 - Number of Faculty Members in Higher Education(Number)
• —3723 - Number of Faculty Members in Private Higher Institutes by Gender(Number)
• —3717 - Number of Faculty Members in Various Private Institutes(Number)
• —3720 - Number of Faculty Members in Various Private Institutes by Institute(Number)
• —3719 - Number of Faculty Members in Various Private Institutes by Gender for the Academic Year(Number)
• —3731 - Number of students accepted in technical institutes (government/private) by gender for the academic year(Number)
• —3753 - Number of students enrolled in practical colleges at public universities(Number)
• —... 96 more indicators

Schema

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-egypt-capmas-enrolled-students-and-faculty-in-higher-education-dd168274")
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: Enrolled Students and Faculty in Higher Education
• —License: Source-specific or other license
• —Retrieved/generated: 2026-08-08T13:12:43Z
• —Hugging Face repo: electricsheepafrica/africa-egypt-capmas-enrolled-students-and-faculty-in-higher-education-dd168274

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

• —Compare education indicators by geography
• —Track participation or completion trends
• —Join with population and poverty indicators
• —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_enrolled_students_and_faculty_in_higher_education_dd168274_2023,
  title        = {Enrolled Students and Faculty in Higher Education | 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-enrolled-students-and-faculty-in-higher-education-dd168274}}
}

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