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Global Monthly Salary Data

Data Science and Analytics

Tags and Keywords

Salary

Global

Finance

Economics

Data

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Global Monthly Salary Data Dataset on Opendatabay data marketplace

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Free

About

This dataset presents global salary data, detailing monthly salaries converted into US Dollars for 222 countries. Collected through web scraping from SalaryExplorer, a trusted platform for salary comparison, it offers a detailed view of income distributions worldwide. It includes average, lowest, highest, and median salary figures, all provided on a monthly basis to facilitate cross-country comparisons and analysis. The data is curated to ensure consistency and reliability, making it a valuable resource for various analytical and research needs.

Columns

  • country_name: The name of the country (e.g., Afghanistan).
  • continent_name: The name of the continent to which the country belongs (e.g., Africa, Europe).
  • wage_span: An indicator that all salary values in the dataset are provided on a monthly basis.
  • median_salary: The median monthly salary expressed in US Dollars.
  • average_salary: The average monthly salary expressed in US Dollars.
  • lowest_salary: The lowest recorded monthly salary expressed in US Dollars.
  • highest_salary: The highest recorded monthly salary expressed in US Dollars.

Distribution

The dataset is provided in a CSV format, with the file named salary_data.csv and a size of 12.59 kB. It contains 7 columns and data for 221 unique countries, implying 221 records or rows.

Usage

This dataset is ideal for:
  • Salary Analysis: Exploring salary trends, disparities, and variations across different countries, industries, and job roles. It can help identify regions with higher average salaries or competitive offerings.
  • Statistical Research: Conducting statistical analyses to gain insights into salary distributions, standard deviations, and outliers, and investigating income inequality.
  • Data Visualisation: Creating informative charts, graphs, and maps to visually represent salary data in an engaging and understandable manner.
  • Global Economic Studies: Researchers can utilise this dataset to analyse the impact of economic factors on salary trends and establish correlations between salaries and the cost of living. It supports data-driven decisions and various research projects.

Coverage

The dataset covers a wide geographic scope, including salary data for 222 countries worldwide. All salary figures reflect monthly earnings and have been converted to US Dollars for standardisation. The dataset is expected to be updated annually, ensuring its relevance over time. No specific notes on data availability for particular demographic groups or years are provided beyond the monthly basis.

License

CC0: Public Domain

Who Can Use It

This dataset is intended for a broad range of users, including:
  • Job Seekers: To understand salary expectations and compare earnings across different countries.
  • Employers: For benchmarking salaries and making informed decisions on compensation.
  • Researchers: To conduct statistical analyses, investigate income inequality, and study global economic trends.
  • Data Analysts and Scientists: For creating visualisations, exploring patterns, and deriving insights from global salary dynamics.
  • Kaggle Community: For contributing analyses and findings that foster a deeper understanding of economic trends.

Dataset Name Suggestions

  • Global Monthly Salary Data
  • Worldwide Income Statistics (USD)
  • Country Salary Comparison Dataset
  • International Wages Analysis

Attributes

Original Data Source: Global Monthly Salary Data

Listing Stats

VIEWS

0

DOWNLOADS

0

LISTED

03/08/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free

Download Dataset in CSV Format