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Evolution of Labour Hours Dataset
Data Science and Analytics
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About
Examines the intricate dynamics of working hours across the globe, offering insights into how much time people in different countries dedicate to work. This exploration sheds light on the disparities across nations and within societies, reflecting changes in societal norms, economic structures, and technological advancements. It delves into historical trends from the Industrial Revolution to the contemporary era, considering the impact of labour movements, the rise of the gig economy, and regional differences. The data provides a basis for understanding the evolving nature of work and its profound impact on individual well-being and global labour patterns.
Columns
- AWHPW: Represents the average working hours per week.
Distribution
- Format: CSV
- Size: 39.99 kB
- Structure: The dataset contains 3,457 rows and 1 column, with 3,356 unique values. There are no missing or mismatched values.
Usage
This dataset is ideal for analysing global labour trends, comparing work-life balance across different regions, and researching the evolution of work patterns over time. It can be used for economic studies, sociological research, and data analytics projects focused on labour markets. Researchers can explore the relationship between working hours and factors like economic development, gender inequality, and societal well-being. It is also suitable for creating data visualisations, such as the Power BI graph mentioned in its context, to illustrate global work patterns.
Coverage
The dataset provides a global perspective on working hours across various countries and over a significant time period, from the Industrial Revolution to the 21st century. It covers different economic structures, from industrialised nations with shorter workweeks to developing economies with longer hours. The scope also touches upon demographic aspects like gender disparities in working hours, which reflect entrenched inequalities and caregiving responsibilities.
License
CC0: Public Domain
Who Can Use It
- Economists and Labour Market Analysts: To study the effects of labour laws, economic conditions, and globalisation on work patterns.
- Sociologists and Social Researchers: To investigate the impact of cultural norms, gender dynamics, and societal values on work-life balance.
- Policymakers and Government Agencies: To inform the development of labour policies, social welfare programmes, and initiatives promoting employee well-being.
- Data Scientists and Analysts: For creating predictive models, visualisations, and reports on global employment trends.
- Journalists and Advocacy Groups: To report on labour rights, social issues, and inequalities in the modern workplace.
Dataset Name Suggestions
- Global Working Hours Analysis
- Historical and Contemporary Work Patterns
- Work-Life Balance Around the World
- Evolution of Labour Hours Dataset
- Average Weekly Work Hours by Country
Attributes
Original Data Source:Evolution of Labour Hours Dataset
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