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electricsheepafrica/africa-egypt-capmas-price-index-for-manufacturing-and-extractive-industries-349d0492

Price Index for Manufacturing and Extractive Industries | Africa (CAPMAS Egypt Open Data) 15,778 rows - 1 Africa country/area - 2013-2026 - 8 indicators - Engineered by Electric Sheep Africa TL;DR This dataset contains 15,778 rows from CAPMAS Egypt Open Data, covering Price Index for Manufacturing and Extractive Industries. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-egypt-capmas-price-index-for-manufacturing-and-extractive-industries-349d0492.

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Price Index for Manufacturing and Extractive Industries | Africa (CAPMAS Egypt Open Data)

15,778 rows - 1 Africa country/area - 2013-2026 - 8 indicators - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 15,778 rows from CAPMAS Egypt Open Data, covering Price Index for Manufacturing and Extractive Industries. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Economic datasets help analysts examine production, prices, public finance, trade flows, market conditions, and macroeconomic change.

This dataset covers Price Index for Manufacturing and Extractive Industries 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
Rows15,778
Countries/areas1
First period2013
Last period2026
Indicators8
Columns12
Source formatPARQUET

Geographic Coverage

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

AreaRowsFirst yearLast yearName
EGY15,77820132026Egypt

Indicators, Variables, Or Resource Contents

  • —4908 - The annual rate of change in the value of industrial production for manufacturing and extractive industries according to economic activity for the base year 2006/2007.(Indices)
  • —5078 - The monthly rate of change in the value of industrial production for manufacturing and extractive industries according to economic activity for the base year 2006/2007.(Rate)
  • —5065 - The annual rate of change in the index of manufacturing and extractive industries according to economic activity for the base year 2006/2007.(Rate)
  • —5850 - Monthly index of industrial production by economic activity (excluding crude oil and petroleum products) for the base year 2012/2013(Indices)
  • —5904 - Annual change in industrial production by economic activity (excluding crude oil and petroleum products) for the base year 2012/2013(Rate)
  • —5091 - The annual rate of change in the value of industrial production for manufacturing and extractive industries according to economic activity for the base year 2006/2007.(Rate)
  • —5902 - Monthly change in industrial production by economic activity (excluding crude oil and petroleum products) for the base year 2012/2013(Rate)
  • —5048 - The monthly rate of change in the index of manufacturing and extractive industries according to economic activity for the base year 2006/2007.(Rate)

Schema

ColumnTypeDescriptionExample
filter_idstringSource column from the original resource.2653
filter_arstringSource column from the original resource.صناعة المنتجات الغذائية
filter_enstringSource column from the original resource.Manufacture of Food Products
valuedoubleNumeric observation value.151.16
yearint64Observation year.2014
quarternullSource column from the original resource.``
monthint64Source column from the original resource.8
indicator_idstringStable source or Electric Sheep Africa indicator identifier.4908
indicator_namestringHuman-readable indicator name.The annual rate of change in the value of industrial production for m...
indicator_name_arstringSource column from the original resource.الرقم القياسي الشهري للصناعات التحويلية والاستخراجية طبقا للنشاط الإق...
unitstringMeasurement unit, when supplied by the source.Indices
periodicitystringSource column from the original resource.Monthly

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-egypt-capmas-price-index-for-manufacturing-and-extractive-industries-349d0492")
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

  • —Build time-series dashboards
  • —Compare economic indicators
  • —Join with population or sector data
  • —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_price_index_for_manufacturing_and_extractive_industries_349d_2026,
  title        = {Price Index for Manufacturing and Extractive Industries | Africa (CAPMAS Egypt Open Data)},
  author       = {Central Agency for Public Mobilisation and Statistics (CAPMAS), Egypt},
  year         = {2026},
  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-price-index-for-manufacturing-and-extractive-industries-349d0492}}
}

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