electricsheepafrica/africa-egypt-capmas-economic-indicators-for-private-and-investment-sector-companies-9342a49b

Economic Indicators for Private and Investment Sector Companies | Africa (CAPMAS Egypt Open Data)

1,373 rows - 1 Africa country/area - 2010-2023 - 20 indicators - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

TL;DR

This dataset contains 1,373 rows from CAPMAS Egypt Open Data, covering Economic Indicators for Private and Investment 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 Economic Indicators for Private and Investment 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

• —4365 - Production and gross output at market price and gross and net output at factor cost for private sector investment companies(EGP Thousand)
• —4359 - Capital additions to fixed assets by asset type for the private investment sector(EGP Thousand)
• —4362 - Net capital formation of private sector investment companies(EGP Thousand)
• —4339 - Net value-added allocations to factor returns for private sector investment companies(EGP Thousand)
• —4343 - Use-side current transfers and savings account for private sector investment companies(EGP Thousand)
• —4358 - Account for the capital and financial uses and resources of private sector investment companies for the resource side(EGP Thousand)
• —4354 - Account for the capital and financial uses and resources of private sector investment companies for the use side(EGP Thousand)
• —4350 - Resource-side current transfers and savings account for private sector investment companies(EGP Thousand)
• —4334 - Resource-side production account for private sector investment companies(EGP Thousand)
• —4328 - Use-side production account for private sector investment companies(EGP Thousand)
• —4384 - Return on production operations, production at market price, savings and net capital formation of private sector investment companies(EGP Thousand)
• —4371 - The average annual share per worker in private investment sector companies for production requirements, net added value, and wages(EGP Thousand)
• —4382 - Number of employees in private investment sector(Number)
• —4374 - The average annual share per worker in private investment sector companies for production operations returns, market-priced production, savings, and net capital formation(EGP Thousand)
• —4366 - Production inputs, net value added, production at market price for private sector investment companies(EGP Thousand)
• —4367 - Inputs and net value-added to production ratio at market price for private sector investment companies(Percentage)
• —4383 - Production inputs, net value added and wages for private sector investment companies(EGP Thousand)
• —4373 - The annual share per worker in private investment sector companies for production operations returns, market-priced production, savings, and net capital formation(EGP Thousand)
• —4369 - The per-worker share in private investment sector companies for production requirements, net added value, and wages(EGP Thousand)
• —4363 - Sources of financing for the total capital formation of private sector investment companies(EGP Thousand)

Schema

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-egypt-capmas-economic-indicators-for-private-and-investment-sector-companies-9342a49b")
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: Economic Indicators for Private and Investment Sector Companies
• —License: Source-specific or other license
• —Retrieved/generated: 2026-08-08T13:10:57Z
• —Hugging Face repo: electricsheepafrica/africa-egypt-capmas-economic-indicators-for-private-and-investment-sector-companies-9342a49b

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_economic_indicators_for_private_and_investment_sector_compan_2023,
  title        = {Economic Indicators for Private and Investment Sector Companies | 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-economic-indicators-for-private-and-investment-sector-companies-9342a49b}}
}

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