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Global Managerial Hourly Earnings by Gender
Data Science and Analytics
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About
This indicator offers detailed insights into the average hourly earnings from paid employment, broken down by sex, occupation, age, and disability status. Examining the interplay of these factors provides a nuanced understanding of wage differentials within the workforce. This information is valuable for assessing income inequality patterns, identifying areas for policy intervention, and promoting a more inclusive and equitable employment environment. The multifaceted approach enables a thorough analysis of how various demographic variables intersect with earnings, contributing to a more holistic view of labour market dynamics.
Columns
- Just ID: A unique identifier for each record.
- country_id: The unique identifier for each country.
- country: The name of the country.
- gender_code: The code representing the gender.
- gender: The full name of the gender.
- year: The year the statistics were calculated.
- amount_local_currency: The wage amount in the local currency.
Distribution
- Format: CSV (average_hourly_earnings_of_female_and_male_employees_(managers)_local_currency.csv)
- Size: 35.4 kB
- Structure: The dataset is tabular and contains 916 rows and 7 columns.
Usage
This dataset is ideal for analysing wage disparities and income inequality. It can be used to explore the relationships between hourly earnings and factors like gender, country, and year. Researchers can use it to identify trends in employment compensation and inform policy-making aimed at creating more equitable work environments. It is also suitable for creating data visualisations and reports that highlight labour market dynamics.
Coverage
- Geographic: The dataset includes data from 45 unique countries, with the United States and the Republic of Moldova being the most frequently represented.
- Time Range: The data spans from the year 2009 to 2022.
- Demographic: The dataset covers gender, including "Female" and three other unique gender values.
License
CC0: Public Domain
Who Can Use It
- Economists and Sociologists: To study labour market trends, gender pay gaps, and income inequality across different nations.
- Policymakers and Government Agencies: To develop and evaluate policies aimed at promoting fair pay and equitable employment opportunities.
- Data Journalists and Analysts: To create insightful stories and reports on global wage disparities and employment dynamics.
- Business Strategists: To analyse international compensation benchmarks for managerial roles.
Dataset Name Suggestions
- Global Managerial Hourly Earnings by Gender
- Gender Wage Gap in Management Roles
- International Hourly Wage Disparity for Managers
- Managerial Pay Equity Analysis Data
- Cross-National Gender Earnings in Management
Attributes
Original Data Source: Global Managerial Hourly Earnings by Gender
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