electricsheepafrica/africa-egypt-capmas-foreign-employees-in-private-and-investment-sectors-in-egypt-6ec64243

Foreign Employees in Private and Investment Sectors in Egypt | Africa (CAPMAS Egypt Open Data)

2,554 rows - 1 Africa country/area - 2010-2023 - 16 indicators - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

TL;DR

This dataset contains 2,554 rows from CAPMAS Egypt Open Data, covering Foreign Employees in Private and Investment Sectors in Egypt. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Official statistics datasets help analysts inspect public data as published by governments, national statistical systems, and regional data portals.

This dataset covers Foreign Employees in Private and Investment Sectors in Egypt 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

• —4718 - Foreigners with work permits in the private and investment sectors in Egypt from African countries (non-Arab) by nationality.(Number)
• —4720 - Foreigners with work permits in the private and investment sectors in Egypt from American countries by nationality(Number)
• —4719 - Foreigners with work permits in the private and investment sectors in Egypt from European countries by nationality(Number)
• —4721 - Foreigners holding work permits for the private and investment sectors in Egypt according to the province of issuance of the permit.(Number)
• —4723 - Foreigners with work permits in the private and investment sectors in Egypt from Arab countries by nationality(Number)
• —4725 - Foreigners with work permits in the private and investment sectors in Egypt from Asian countries (non-Arab) by nationality.(Number)
• —4729 - Foreigners holding work permits for the private and investment sectors in Egypt according to the issuing authority.(Number)
• —4728 - Foreigners holding work permits for the private and investment sectors in Egypt according to the type of contract.(Number)
• —4730 - Foreigners licensed to work in the private and investment sectors in Egypt according to the groups of countries they come from.(Number)
• —4736 - Foreigners with work permits in the private and investment sectors in Egypt with unspecified nationalities according to nationality.(Number)
• —4732 - Foreigners holding work permits for the private and investment sectors in Egypt according to main occupational categories.(Number)
• —4759 - Annual change rate in the number of foreign workers in the private and investment sectors in Egypt(Rate)
• —4858 - Foreigners Obtaining Renewal of Work Permit for the Private and Investment Sector in Egypt by Gender(Number)
• —5081 - Foreigners with work permits in the private and investment sectors in Egypt from Oceania by nationality(Number)
• —4820 - Foreigners holding work permits for the private and investment sectors in Egypt according to economic activity(Number)
• —4890 - Foreigners Obtaining Work Permits for the First Time in the Private and Investment Sectors in Egypt by Gender(Number)

Schema

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-egypt-capmas-foreign-employees-in-private-and-investment-sectors-in-egypt-6ec64243")
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: Foreign Employees in Private and Investment Sectors in Egypt
• —License: Source-specific or other license
• —Retrieved/generated: 2026-08-08T13:12:53Z
• —Hugging Face repo: electricsheepafrica/africa-egypt-capmas-foreign-employees-in-private-and-investment-sectors-in-egypt-6ec64243

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

• —Profile the distribution of values
• —Compare categories or geographies
• —Join with complementary public 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_foreign_employees_in_private_and_investment_sectors_in_egypt_2023,
  title        = {Foreign Employees in Private and Investment Sectors in Egypt | 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-foreign-employees-in-private-and-investment-sectors-in-egypt-6ec64243}}
}

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