Luxembourg had the highest average monthly salary of employees in the world in 2024 in terms of purchasing power parities (PPP), which takes the average cost of living in a country into account. Belgium followed in second, with the Netherlands in third.

The average for 2021 based on 71 countries was 27.53 percent. The highest value was in Colombia: 43.7 percent and the lowest value was in Slovakia: 19.1 percent. The indicator is available from 1963 to 2023. Below is a chart for all countries where data are available.

As of 2023, Rwanda had the lowest average monthly salary of employees in the world in terms of purchasing power parities (PPP), which takes the average cost of living in a country into account. Gambia had the second lowest average wages, with Ethiopia in third. Of the 20 countries with the lowest average salaries in the world, 17 were located in Africa. On the other hand, Luxembourg had the highest average monthly salaries of employees.

In 2024, senior executives in the IT market reported the highest total annual compensation, with a median of over 127,388 thousand U.S. dollars. Developer advocates, managers, and developer experience engineers earned well over 100 thousand U.S. dollars annually. Site reliability engineers and cloud infrastructure engineers had median earnings of one thousand and 97 thousand U.S. dollars, respectively. At the lower end of the spectrum, academic researchers, front-end developers, and students earned less than 50 thousand U.S. dollars in total annual compensation.

. U.S. Bureau of Labor Statistics provides Average Weekly Earnings in USD. Monthly Earnings include Private Non Agricultural sector only.


Further information about United States Monthly Earnings

• In the latest reports, US Population reached 341 million people in Dec 2024
• Unemployment Rate of US increased to 4 % in Sep 2025
• The country's Labour Force Participation Rate remained the same rate at 62 % in Sep 2025

Rather than going to GlassDoor's website and searching for salary to analyze how well professionals in the field of Data Science are paid across several countries, one can use this dataset to do so.

The average for 2021 based on 133 countries was 38.13 percent. The highest value was in Syria: 91.06 percent and the lowest value was in Cambodia: 10.71 percent. The indicator is available from 2000 to 2021. Below is a chart for all countries where data are available.

This dataset provides values for WAGE GROWTH reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

This graph shows average wages around the world in 2012 as calculated by purchasing power parity. In 2012 the highest average wage was earned in Luxembourg at 4,089 purchasing power parity dollars. Wages and salaries Wages and salaries in the United States have increased during the last decades. The median weekly earnings of a full-time wage and salary worker were about 241 U.S. dollars in 1979 and shifted up to 768 U.S. dollars in 2012.

The median earnings of U.S. full-time wage and salary workers vary across their educational attainment. The highest paid workers are those who hold a bachelor’s degree, according to the U.S. Bureau of Labor Statistics.

The U.S. federal government specified minimum wage laws for workers in the United States, which say that workers must be paid no less than the current federal minimum wage. The minimum wage was set at 7.25 U.S. dollars per hour by federal law. The actual minimum wage varies from state to state, as some states have additional minimum wage laws.

For instance, the minimum wage in Washington was around 9.04 U.S. dollars per hour, while the worst minimum wage can be found in Georgia, where workers earn at least 5.15 U.S. dollars per hour. No minimum wages can be found in Tennessee, Alabama, Louisiana, South Carolina and Mississippi, as of January 1, 2012.

The number of workers paid hourly rates with earnings at or below the minimum wage in the U.S. was at its highest in the industry type of leisure and hospitality in 2013.

Recent statistics show that the share of female workers paid hourly rates at or below prevailing federal minimum wage in the United States decreased since 1979. In that year, 20.2 percent of the female wage and salary workers were paid below the federal minimum wage, while only 2.9 percent of the female workers were paid below the federal minimum wage in 2006.

This dataset provides values for WAGES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Global IT Jobs Analysis

A Detailed Investigation of Salary, Location, and Job Requirements

By [source]

About this dataset

This dataset contains valuable insights into current job opportunities in the information technology (IT) sector all around the world. It offers an overview of available jobs and relevant data such as company, location, salary and links to further information. With this insight, one has the chance to better understand what it takes to land a remote or data-science job in today's global market. The ever increasing demand for IT workforce puts technical skills at a premium, so understanding exactly what employers are searching for can give potential employees an edge in catching the eye of these businesses! Digging through this dataset can provide details on current trends in terms of salary expectations and geographical locations where these roles are most popular. Beyond that, get an idea about which abilities seem most valuable when it comes to remote or data-science positions. Use this arsenal of knowledge to take your career goals into your own hands now!

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How to use the dataset

This dataset provides an opportunity to explore the remote and data-science job opportunities around the world. Using this dataset, you can analyze trends in job requirements, salary packages offered, location of available jobs and more. With the knowledge gained from this data set, individuals and companies can make more informed decisions about pursuing a certain path in their career or hiring for their business.

The dataset includes columns with important information such as Job title, Company offering the job, Location of the position , Salary offered for that position and a Link to its respective posting. Using these columns you can analyze various factors regarding global IT Jobs availability over different locations in alignment with salary offered for positions and any specific skill sets sought out by companies .

To get executable insights from this data set users should first load it into their respective computing environment (Python or R). After loading it in your environment users should start off by exploring Groupby statements along factors like Companies offering jobs ,Salary offered ,Location etc. followed by descriptive statistics like mean & median of Salary Levels per country/region etc. After getting basic insight about summary statistics for various factors belonging all together within “Job” range user could move forward to look over individual cases (specific skill sets) after which they could filter out & generate valueable insights needed .

With our comprehensive understanding of global supply & demand rates individuals/corporations could always use these datasets to help them keep track on talent acquisition landscape when they hire globally or relocating teams as companies who need such information would greatly benefit from versatile tools like this one that offer valuable actionsable insights on an ongoing basis depending upon dayers choosing!

Research Ideas

• Identifying the most in-demand skills and employment requirements for remote data science and IT jobs, across different countries and regions.
• Developing a prediction model to forecast future salary expectations for data science professionals based on location, company, job type, etc.
• Building an interactive dashboard with visualizations showing differences in job requirements (by level of experience or education), salary comparison across geographies as well as potential career paths one can pursue within the IT or Data Science fields

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: Job_listing.csv | Column name | Description | |:--------------|:---------------------------------------------------| | Job | The title of the job listing. (String) | | Company | The name of the company offering the job. (String) | | Location | The geographic location of the job. (String) | | Salary | The salary offere...

This dataset provides a comprehensive collection of salary information from various industries and regions across the globe. Sourced from reputable employment websites and surveys, it includes details on job titles, salaries, job sectors, geographic locations, and more. Analyze this data to gain insights into job market trends, compare compensation across different professions, and make informed decisions about your career or hiring strategies. The dataset is cleaned and preprocessed for ease of analysis and is available under an open license for research and data analysis purposes.

Education Level: 0 : High School 1 : Bachelor Degree 2 : Master Degree 3 : Phd

Currency : US Dollar

Senior : It shows that is this employee has a senior position or no.(Binary)

Graph and download economic data for Current payments to the rest of the world: Income payments: Wage and salary payments (NA000274Q) from Q1 2002 to Q2 2025 about payments, salaries, wages, income, and GDP.

Bermuda has the highest average income per adult in the world, reaching over ******* euros when accounting for purchasing power parity (PPP). Isle of Man and Qatar followed behind.

Graph and download economic data for Current payments to the rest of the world: Income payments: Wage and salary payments (B4189C1A027NBEA) from 1948 to 2024 about payments, salaries, wages, income, and GDP.

Latvia Average Wages and Salaries: Gross: AR: Gambling and Betting Activities data was reported at 1,184.340 EUR in Jun 2018. This records an increase from the previous number of 1,032.700 EUR for May 2018. Latvia Average Wages and Salaries: Gross: AR: Gambling and Betting Activities data is updated monthly, averaging 759.345 EUR from Jan 2008 (Median) to Jun 2018, with 126 observations. The data reached an all-time high of 1,184.340 EUR in Jun 2018 and a record low of 558.460 EUR in Feb 2010. Latvia Average Wages and Salaries: Gross: AR: Gambling and Betting Activities data remains active status in CEIC and is reported by Central Statistical Bureau of Latvia. The data is categorized under Global Database’s Latvia – Table LV.G018: Average Wages and Salaries: Statistical Classification of Economic Activities Revision 2.

Cross-national research on the causes and consequences of income inequality has been hindered by the limitations of the existing inequality datasets: greater coverage across countries and over time has been available from these sources only at the cost of significantly reduced comparability across observations. The goal of the Standardized World Income Inequality Database (SWIID) is to meet the needs of those engaged in broadly cross-national research by maximizing the comparability of income inequality data while maintaining the widest possible coverage across countries and over time. The SWIID’s income inequality estimates are based on thousands of reported Gini indices from hundreds of published sources, including the OECD Income Distribution Database, the Socio-Economic Database for Latin America and the Caribbean generated by CEDLAS and the World Bank, Eurostat, the World Bank’s PovcalNet, the UN Economic Commission for Latin America and the Caribbean, national statistical offices around the world, and academic studies while minimizing reliance on problematic assumptions by using as much information as possible from proximate years within the same country. The data collected and harmonized by the Luxembourg Income Study is employed as the standard. The SWIID currently incorporates comparable Gini indices of disposable and market income inequality for 199 countries for as many years as possible from 1960 to the present; it also includes information on absolute and relative redistribution.

Key information about Switzerland Monthly Earnings

• Switzerland Monthly Earnings stood at 6,955 USD in Dec 2024, compared with the previous figure of 6,641 USD in Dec 2023
• Switzerland Monthly Earnings data is updated yearly, available from Dec 1991 to Dec 2024, with an average number of 4,514 USD
• The data reached the an all-time high of 6,955 USD in Dec 2024 and a record low of 2,790 USD in Dec 1991

CEIC calculates Monthly Earnings from Gross Median Annual Earnings divided by 12 and converts it into USD. Swiss Federal Statistical Office provides Gross Median Annual Earnings in local currency. Federal Reserve Board average market exchange rate is used for currency conversions. Monthly Earnings include employees' earnings only and exclude self-employed persons, family workers and apprentices.


Further information about Switzerland Monthly Earnings

• In the latest reports, Switzerland Population reached 9 million people in Dec 2024
• Unemployment Rate of Switzerland increased to 5 % in Sep 2025
• The country's Labour Force Participation Rate increased to 67 % in Sep 2025

Wages in China increased to 120698 CNY/Year in 2023 from 114029 CNY/Year in 2022. This dataset provides - China Average Yearly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Worldwide, minimum net monthly wages vary from almost ***** U.S. dollars in Luxembourg to ** dollars in Nigeria as of January 2024. Minimum wages must be seen in relation with price levels in a country. One popular way to measure purchasing power is the Big Mac Index.