electricsheepafrica/africa-egypt-capmas-construction-for-private-sector-companies-f77b89b4

Construction for Private Sector Companies | Africa (CAPMAS Egypt Open Data)

5,664 rows - 1 Africa country/area - 2010-2021 - 47 indicators - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

TL;DR

This dataset contains 5,664 rows from CAPMAS Egypt Open Data, covering Construction for Private Sector Companies. 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 Construction for Private Sector Companies 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

• —3312 - Total Number of Employees by Gender(Number)
• —3326 - Total number of employed distributed according to economic activity(Number)
• —3257 - Total expenses distributed according to economic activity(EGP Thousand)
• —3251 - Total Expenses and Other Revenues by Type of Expenses(EGP Thousand)
• —3299 - Total number of owned machinery, equipment, and transportation means(Number)
• —3254 - Total number of companies by governorates(Number)
• —3261 - Total revenue from non-contracting distributed according to economic activity(EGP Thousand)
• —2960 - Total number of operations carried out, distributed according to (inclusive and manufacturing)(Number)
• —2858 - Total number of operations carried out distributed according to the type of contract(Number)
• —2871 - Total number of operations carried out distributed by governorate(Number)
• —2980 - Total number of operations carried out distributed according to economic activity(Number)
• —3087 - Total number of operations distributed according to the type of contracting in the public sector(Number)
• —3078 - Total number of operations distributed according to the type of contracting in the private sector(Number)
• —3181 - Total number of operations distributed by sector type(Number)
• —3520 - Total number of branches by governorates(Number)
• —3062 - Total number of operations distributed according to the type of contracting in the public sector(Number)
• —3302 - Total Value of Fixed Assets(EGP Thousand)
• —3176 - Total Value of Works Distributed by Sector Type(EGP Thousand)
• —3141 - Total Value of Works Distributed According to the Location of the Operation(EGP Thousand)
• —3335 - Total value of cash wages, social insurance, and in-kind benefits for both paid and unpaid workers(EGP Thousand)
• —... 27 more indicators

Schema

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-egypt-capmas-construction-for-private-sector-companies-f77b89b4")
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: Construction for Private Sector Companies
• —License: Source-specific or other license
• —Retrieved/generated: 2026-08-08T13:12:15Z
• —Hugging Face repo: electricsheepafrica/africa-egypt-capmas-construction-for-private-sector-companies-f77b89b4

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_construction_for_private_sector_companies_f77b89b4_2021,
  title        = {Construction for Private Sector Companies | Africa (CAPMAS Egypt Open Data)},
  author       = {Central Agency for Public Mobilisation and Statistics (CAPMAS), Egypt},
  year         = {2021},
  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-construction-for-private-sector-companies-f77b89b4}}
}

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