electricsheepafrica/africa-egypt-capmas-state-final-account-functional-classification-f2f66f33

State Final Account (Functional Classification) | Africa (CAPMAS Egypt Open Data)

1,410 rows - 1 Africa country/area - 2011-2023 - 14 indicators - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

TL;DR

This dataset contains 1,410 rows from CAPMAS Egypt Open Data, covering State Final Account (Functional Classification). 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 State Final Account (Functional Classification) 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

• —8976 - Final Account for Other Expenses(EGP Thousand)
• —1537 - Final Account for Purchases of Non-Financial Assets (Investments) According to Sector(EGP Thousand)
• —1582 - Final Account for Purchases of Goods and Services According to Sector(EGP Thousand)
• —8977 - Final Account for Other Expenses According to Sector(EGP Thousand)
• —1491 - Total Public Expenditure According to Functional Classification of Government(EGP Million)
• —1611 - Final Account of Employees' Wages and Compensations According to Sector(EGP Thousand)
• —1766 - Final Accounts for Interest Payments According to Sector(EGP Thousand)
• —1711 - Final Account for Social Support, Grants, and Benefits According to Sector(EGP Thousand)
• —1749 - Final Accounts for Interest Payments(EGP Thousand)
• —1485 - Total Public Expenditure According to Classifications(EGP Million)
• —1525 - Final Account for Purchases of Non-Financial Assets (Investments)(EGP Thousand)
• —1681 - Final Account for Social Support, Grants, and Benefits(EGP Thousand)
• —1600 - Final Account of Employees' Wages and Compensations(EGP Thousand)
• —1575 - Final Account for Purchases of Goods and Services(EGP Thousand)

Schema

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-egypt-capmas-state-final-account-functional-classification-f2f66f33")
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: State Final Account (Functional Classification)
• —License: Source-specific or other license
• —Retrieved/generated: 2026-08-08T13:10:56Z
• —Hugging Face repo: electricsheepafrica/africa-egypt-capmas-state-final-account-functional-classification-f2f66f33

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_state_final_account_functional_classification_f2f66f33_2023,
  title        = {State Final Account (Functional Classification) | 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-state-final-account-functional-classification-f2f66f33}}
}

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