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electricsheepafrica/africa-egypt-capmas-employment-wages-and-working-hours-98ef04fb

Employment, Wages and Working Hours | Africa (CAPMAS Egypt Open Data) 6,284 rows - 1 Africa country/area - 2010-2023 - 116 indicators - Engineered by Electric Sheep Africa TL;DR This dataset contains 6,284 rows from CAPMAS Egypt Open Data, covering Employment, Wages and Working Hours. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples. What This Dataset Measures… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-egypt-capmas-employment-wages-and-working-hours-98ef04fb.

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Dataset Card

Employment, Wages and Working Hours | Africa (CAPMAS Egypt Open Data)

6,284 rows - 1 Africa country/area - 2010-2023 - 116 indicators - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 6,284 rows from CAPMAS Egypt Open Data, covering Employment, Wages and Working Hours. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Labour and workforce datasets help analysts study employment, participation, skills, sectoral structure, and the movement of people through work and livelihoods.

This dataset covers Employment, Wages and Working Hours 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
Rows6,284
Countries/areas1
First period2010
Last period2023
Indicators116
Columns12
Source formatPARQUET

Geographic Coverage

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

AreaRowsFirst yearLast yearName
EGY6,28420102023Egypt

Indicators, Variables, Or Resource Contents

  • —1263 - Total number of public sector/government sector establishment employees based on geographical distribution in the first week of June(Number)
  • —1255 - Total number of public sector/government sector and private sector establishment employees based on educational level in the first week of June(Number)
  • —1236 - Total number of employees in public sector/government sector establishments and private sector establishments based on gender in the first week of June(Number)
  • —1238 - Average total wage of employees in public/government sector establishments and private sector establishments based on gender in the first week of June(Egyptian Pounds)
  • —1258 - Total number of employees in public sector/government sector establishments and private sector establishments based on occupations in the first week of June(Number)
  • —1240 - Average total number of working hours of employees in public/government sector establishments and private sector establishments based on gender in the first week of June(hours)
  • —1248 - Total number of employees in public sector/government sector establishments and private sector establishments based on sector type in the first week of June(Number)
  • —869 - Total number of public/government sector establishments and private sector establishment employees based on economic activity in the first week of June(Number)
  • —1242 - Average total wage of employees in public/government sector establishments and private sector establishments based on economic activity in the first week of June(Egyptian Pounds)
  • —1270 - Average total wages in public/government sector establishments and private sector establishments based on geographic distribution in the first week of June(Egyptian Pounds)
  • —1233 - Number of public/government sector establishments and private sector establishments based on economic activity in the first week of June(Number)
  • —1262 - Number of public/government sector establishments and private sector establishments based on geographical distribution in the first week of June(Number)
  • —1250 - Average total wages in public/government sector establishments and private sector establishments based on type of sector in the first week of June(Egyptian Pounds)
  • —1246 - Average total number of working hours in public/government sector establishments and private sector establishments based on economic activity in the first week of June(hours)
  • —1156 - Average total weekly wages in Egyptian Pounds in public/government sector establishments and private sector establishments based on occupation in the first week of June(Egyptian Pounds)
  • —1271 - Average total number of working hours in the public/government sector establishments and the private sector establishments based on geographical distribution in the first week of June(hours)
  • —1252 - Average total number of working hours in the public/government sector establishments and the private sector establishments based on sector type in the first week of June(hours)
  • —885 - Average total number of working hours for public/government sector and private sector establishments based on occupations in the first week of June(hours)
  • —1138 - Total number of employees based on geographical distribution in the first week of July(Number)
  • —1102 - Number of workers based on geographical distribution in the first week of July(Number)
  • —... 96 more indicators

Schema

ColumnTypeDescriptionExample
filter_idstringSource column from the original resource.26
filter_arstringSource column from the original resource.الوادي الجديد
filter_enstringSource column from the original resource.ELWadi ELGidid
valuedoubleNumeric observation value.553.0
yearint64Observation year.2016
quarternullSource column from the original resource.``
monthnullSource column from the original resource.``
indicator_idstringStable source or Electric Sheep Africa indicator identifier.1263
indicator_namestringHuman-readable indicator name.Total number of public sector/government sector establishment employe...
indicator_name_arstringSource column from the original resource.إجمالي عدد العاملين بمنشآت القطاع العام / الأعمال العام والقطاع الخاص...
unitstringMeasurement unit, when supplied by the source.Number
periodicitystringSource column from the original resource.Annually

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-egypt-capmas-employment-wages-and-working-hours-98ef04fb")
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

  • —Track workforce composition over time
  • —Compare employment patterns across groups
  • —Join with education, population, and 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_employment_wages_and_working_hours_98ef04fb_2023,
  title        = {Employment, Wages and Working Hours | 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-employment-wages-and-working-hours-98ef04fb}}
}

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