electricsheepafrica/africa-egypt-capmas-financial-indicators-for-public-sector-and-public-business-secto-59162960

Financial Indicators for Public Sector and Public Business Sector Companies (except banks and insurance) | Africa (CAPMAS Egypt Open Data)

6,427 rows - 1 Africa country/area - 2010-2023 - 98 indicators - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 6,427 rows from CAPMAS Egypt Open Data, covering Financial Indicators for Public Sector and Public Business Sector Companies (except banks and insurance). 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 Financial Indicators for Public Sector and Public Business Sector Companies (except banks and insurance) 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

Dimension	Value
Rows	6,427
Countries/areas	1
First period	2010
Last period	2023
Indicators	98
Columns	12
Source format	PARQUET

Geographic Coverage

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

Area	Rows	First year	Last year	Name
EGY	6,427	2010	2023	Egypt

Indicators, Variables, Or Resource Contents

• 5007 - Current Assets of Public Business Sector(thousand pound)
• 5163 - Total and Net Invested Capital for Public Sector(thousand pound)
• 4799 - Total and Net Invested Capital for Public Business Sector(thousand pound)
• 5399 - Current Assets of the Public Sector(thousand pound)
• 5016 - Current Liabilities of Public Business Sector(thousand pound)
• 4811 - Human Capital Component for Public Business Sector(thousand pound)
• 5178 - Human Capital Component for Public Sector(thousand pound)
• 5025 - Breakdown of Occuring Transfer Revenues According to Profits and Losses for Public Sector(thousand pound)
• 4758 - Balance Sheet Assets Side for Public Business Sector(thousand pound)
• 4804 - Liquidity and Fast Liquidity for Public Business Sector(Percentage)
• 5404 - Current Liabilities of the Public Sector(thousand pound)
• 4762 - Balance Sheet Liabilities Side for Public Business Sector(thousand pound)
• 5031 - Breakdown of Liabilities for Public Sector(thousand pound)
• 5041 - Number of Employees in the Public Business Sector(thousand pound)
• 4766 - Details of Reserves and Surplus Carried Forward for Public Business Sector(thousand pound)
• 5166 - Liquidity and Fast Liquidity for Public Sector(Percentage)
• 8738 - Details of Credit Banks for the Public Sector(thousand pound)
• 8737 - Details of Creditor Banks for the Public Business Sector(thousand pound)
• 8740 - Details of Long-Term Loans for the Public Sector(thousand pound)
• 5042 - Turnover Rate for Public Sector(thousand pound)
• ... 78 more indicators

Schema

Column	Type	Description	Example
filter_id	string	Source column from the original resource.	60
filter_ar	string	Source column from the original resource.	الإجمالي
filter_en	string	Source column from the original resource.	Total
value	double	Numeric observation value.	131767936.0
year	int64	Observation year.	2010
quarter	null	Source column from the original resource.	``
month	null	Source column from the original resource.	``
indicator_id	string	Stable source or Electric Sheep Africa indicator identifier.	5007
indicator_name	string	Human-readable indicator name.	Current Assets of Public Business Sector
indicator_name_ar	string	Source column from the original resource.	الأصول المتداولة لقطاع الأعمال العام
unit	string	Measurement unit, when supplied by the source.	thousand pound
periodicity	string	Source column from the original resource.	Annually

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-egypt-capmas-financial-indicators-for-public-sector-and-public-business-secto-59162960")
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: Financial Indicators for Public Sector and Public Business Sector Companies (except banks and insurance)
• License: Source-specific or other license
• Retrieved/generated: 2026-08-08T13:10:58Z
• Hugging Face repo: electricsheepafrica/africa-egypt-capmas-financial-indicators-for-public-sector-and-public-business-secto-59162960

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_financial_indicators_for_public_sector_and_public_business_s_2023,
  title        = {Financial Indicators for Public Sector and Public Business Sector Companies (except banks and insurance) | 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-financial-indicators-for-public-sector-and-public-business-secto-59162960}}
}

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.

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