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Worldwide Salary Analysis Dataset
Data Science and Analytics
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About
This dataset offers a collection of salary information spanning various industries and global regions. It includes details such as job titles, salary figures, job sectors, and geographic locations. The dataset is ideal for analysing job market trends, comparing compensation across different professions, and informing career or hiring strategies. It is specifically designed for predicting income by job title and country, and has been cleaned and preprocessed to facilitate analysis. The data is available under an open licence for research and analysis purposes.
Columns
- Age: A numerical column representing the age of the individuals, ranging from 21 to 62 years, with a mean age of 33.6.
- Gender: A categorical column indicating gender, with 55% Male and 45% Female entries.
- Education Level: A numerical column representing education attainment, where 0 signifies High School, 1 for Bachelor Degree, 2 for Master Degree, and 3 for PhD. The mean education level is 1.62.
- Job Title: A categorical column listing various job titles. "Software Engineer" accounts for 12% of entries, "Data Scientist" 8%, and there are 129 unique job titles in total.
- Years of Experience: A numerical column indicating years of professional experience, ranging from 0 to 34 years, with a mean of 8.08 years.
- Salary: A numerical column detailing salary figures in US Dollars, ranging from 350 to 250,000, with a mean salary of 115,000.
- Country: A categorical column specifying the country, with "USA" and "China" each accounting for 20% of entries, and a total of 5 unique countries represented.
- Race: A categorical column indicating race, with "White" at 29% and "Asian" at 24%, among 10 unique race categories.
- Senior: A binary numerical column indicating whether an employee holds a senior position (1) or not (0).
Distribution
The dataset is provided in CSV format and has a file size of 404.71 kB. It contains 6684 records across 9 distinct columns, with no missing or mismatched values reported for any column.
Usage
This dataset is suitable for a variety of applications, including:
- Predicting income based on job title and country.
- Gaining insights into global job market trends.
- Comparing compensation levels across diverse professions and regions.
- Informing career planning and strategic hiring decisions.
- Conducting academic research and data analysis on salary structures.
Coverage
The dataset covers various industries and regions worldwide, with specific representation from countries like the USA and China. Demographically, it includes information on individuals aged 21 to 62, across different genders, education levels (from high school to PhD), and 10 unique race categories. The currency for all salary data is US Dollar. Information regarding a specific time range for the data collection is not available in the provided sources.
License
CC0: Public Domain
Who Can Use It
This dataset is intended for:
- Data Analysts and Scientists: For building predictive models for income, understanding salary distributions, and identifying trends.
- HR Professionals and Recruiters: For benchmarking salaries, optimifying hiring strategies, and making informed compensation decisions.
- Job Seekers and Career Counsellors: For understanding market value, negotiating salaries, and guiding career paths.
- Researchers and Academics: For studying labour economics, demographic impacts on income, and global employment patterns.
Dataset Name Suggestions
- Global Salary Trends Dataset
- Job Market Compensation Data
- Income Prediction Data Collection
- Worldwide Salary Analysis Dataset
- Career Earnings Insights
Attributes
Original Data Source: Worldwide Salary Analysis Dataset
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