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electricsheepafrica/africa-egypt-capmas-supply-use-tables-4230690d

Supply Use Tables | Africa (CAPMAS Egypt Open Data) 6,165 rows - 1 Africa country/area - 2011-2018 - 23 indicators - Engineered by Electric Sheep Africa TL;DR This dataset contains 6,165 rows from CAPMAS Egypt Open Data, covering Supply Use Tables. 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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-egypt-capmas-supply-use-tables-4230690d.

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Supply Use Tables | Africa (CAPMAS Egypt Open Data)

6,165 rows - 1 Africa country/area - 2011-2018 - 23 indicators - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 6,165 rows from CAPMAS Egypt Open Data, covering Supply Use Tables. 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 Supply Use Tables 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

DimensionValue
Rows6,165
Countries/areas1
First period2011
Last period2018
Indicators23
Columns12
Source formatPARQUET

Geographic Coverage

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

AreaRowsFirst yearLast yearName
EGY6,16520112018Egypt

Indicators, Variables, Or Resource Contents

  • —7191 - Total production inputs for aggregate use according to organizational sectors(Value in million L.E)
  • —8951 - Total production for aggregate supply according to regulatory sectors(Value in million L.E)
  • —7193 - Total production for aggregate use according to regulatory sectors(Value in million L.E)
  • —7192 - Value Added at Basic Prices for Aggregate Use by Institutional Sectors(Value in million L.E)
  • —8952 - Total Aggregate Use at Buyers' Prices by Products(Value in million L.E)
  • —7263 - Total Supply by Table Categories(Value in 1000)
  • —8953 - Total Commodity Balance by Item(Value in 1000)
  • —8954 - Total Trade and Transport Margins by Product(Value in 1000)
  • —8956 - Total Intermediate Consumption by International Categories(Value in 1000)
  • —7253 - Total Supply at Basic Prices by Product(Value in 1000)
  • —8955 - Net Taxes, Customs Duties, and Subsidies by Product(Value in 1000)
  • —7256 - Total Supply at Buyer Prices by Product(Value in 1000)
  • —7295 - Total Final Consumption Expenditure by Product(Value in 1000)
  • —8957 - Total Capital Formation by Product(Value in 1000)
  • —7262 - Total Use at Buyer Prices by Product(Value in 1000)
  • —8970 - Total Exports by Product(Value in 1000)
  • —8971 - Intermediate Consumption Total by Product(Value in 1000)
  • —8972 - Total Imports by Product(Value in 1000)
  • —8958 - Total value added at basic prices according to regulatory sectors(Value in million L.E)
  • —8959 - Total Supply at Buyers' Aggregate Prices by Products(Value in million L.E)
  • —... 3 more indicators

Schema

ColumnTypeDescriptionExample
filter_idstringSource column from the original resource.2915
filter_arstringSource column from the original resource.الصادرات
filter_enstringSource column from the original resource.Export
valuedoubleNumeric observation value.964129.7974278304
yearint64Observation year.2018
quarternullSource column from the original resource.``
monthnullSource column from the original resource.``
indicator_idstringStable source or Electric Sheep Africa indicator identifier.7191
indicator_namestringHuman-readable indicator name.Total production inputs for aggregate use according to organizational...
indicator_name_arstringSource column from the original resource.جملة مستلزمات الانتاج للإستخدام التجميعي وفقا للقطاعات التنظيمية
unitstringMeasurement unit, when supplied by the source.Value in million L.E
periodicitystringSource column from the original resource.Bi-Annually

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-egypt-capmas-supply-use-tables-4230690d")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

python
print(df.info())
print(df.head())

Filter By Geography

python
# This dataset is scoped to Egypt in source metadata.
sample = df.copy()

Time-Series Pattern

python
if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("year")

Pivot For Analysis

python
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

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

bibtex
@misc{electric_sheep_africa_africa_egypt_capmas_supply_use_tables_4230690d_2018,
  title        = {Supply Use Tables | Africa (CAPMAS Egypt Open Data)},
  author       = {Central Agency for Public Mobilisation and Statistics (CAPMAS), Egypt},
  year         = {2018},
  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-supply-use-tables-4230690d}}
}

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