electricsheepafrica/africa-egypt-capmas-irrigation-and-water-resources-be745e2c

Irrigation and Water Resources | Africa (CAPMAS Egypt Open Data)

10,045 rows - 1 Africa country/area - 2011-2023 - 119 indicators - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

TL;DR

This dataset contains 10,045 rows from CAPMAS Egypt Open Data, covering Irrigation and Water Resources. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Climate and environment datasets help analysts study exposure, resource conditions, environmental pressure, and climate-related trends.

This dataset covers Irrigation and Water Resources 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

• —2633 - Lengths of covered drains per kilometer according to the governorates(kilometer)
• —2723 - The area of non-navigable drains according to the categories of drain width(Feddan)
• —2753 - The area of navigational drains according to drain width categories(Feddan)
• —2741 - Total Length of Navigational Drains (Length) by Governorates(kilometer)
• —2762 - Total lengths of navigation drains according to drain width categories(kilometer)
• —2772 - Total monthly discharge of the Nile behind the main sites in Upper Egypt(Million M3)
• —2730 - Total Length of Covered Drains(kilometer)
• —2814 - Total discharge of reused drainage water quantities in agriculture(million cubic meters / Month)
• —2678 - Lengths of non-navigable drains (length) by governorates(kilometer)
• —2635 - The area of non-navigable drains by governorates(Feddan)
• —2831 - Total cultivated area for the three cropping seasons and fruits(1000 Feddan)
• —2731 - The area of navigational drains by governorates(Feddan)
• —2728 - Lengths of non-navigable drains according to drain width categories (length)(kilometer)
• —2886 - Total area cultivated and benefiting from private and government wells(Feddan)
• —2836 - Total cultivated area in feddans by governorates(Feddan)
• —2791 - Total Monthly Discharge of the Nile Behind the Main Sites within the Arab Republic of Egypt(Million M3)
• —2978 - Total number of wells for residents and the government in agricultural lands by type(Number)
• —3040 - Total quantities of irrigation water used for the three cropping seasons and fruits(Thousand M3)
• —3085 - Total quantities of groundwater used for irrigating the three crops and fruits(M3/ Day)
• —3126 - Total quantities of groundwater used for irrigating fruits(M3/ Day)
• —... 99 more indicators

Schema

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-egypt-capmas-irrigation-and-water-resources-be745e2c")
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: Irrigation and Water Resources
• —License: Source-specific or other license
• —Retrieved/generated: 2026-08-08T13:12:10Z
• —Hugging Face repo: electricsheepafrica/africa-egypt-capmas-irrigation-and-water-resources-be745e2c

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

• —Analyze seasonal or annual patterns
• —Join with agriculture or health data
• —Map geographic exposure
• —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_irrigation_and_water_resources_be745e2c_2023,
  title        = {Irrigation and Water Resources | 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-irrigation-and-water-resources-be745e2c}}
}

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