Context

This dataset provides information on the average wage in various countries. Understanding the average wage in different countries is essential for economic analysis, benchmarking, and comparisons. Researchers, analysts, and policymakers can use this dataset to gain insights into global income disparities, labor market conditions, and economic trends.

Country_Gross Average Monthly Wages in 2020

The dataset comprises two primary columns: "Country" and "Gross Average Monthly Wages in 2020 (US$, at current Exchange Rates)." Each entry in the "Country" column represents a distinct country or region, while the corresponding entry in the "Gross Average Monthly Wages" column denotes the average earnings in US dollars for the specified location in the year 2020.

Development of Average Annual Wages

The "Development of Average Annual Wages" dataset, available on Kaggle, offers a comprehensive collection of average annual wage data spanning from the year 2000 to 2022. This dataset is a valuable resource for researchers, analysts, economists, and data enthusiasts interested in understanding the economic trends and wage dynamics across various countries over the past two decades.

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.

Of the seven largest developed economies, in 2024, the United States had the highest average wage by a significant margin at over 82,933 U.S. dollars per year. Germany had the second-highest annual average wages at 69,433 U.S. dollars, followed by Canada at 69,417 U.S. dollars. Meanwhile, Japan had the lowest average wages out of the seven largest developed economies at 49,446 U.S. dollars.

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.

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

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

The average wage is a measure of total income after taxes divided by total number of employees employed. In this article, the average wage is adjusted for living expenses "purchasing power parity" (PPP). This is not to be confused with the average income which is a measure of total income including wage, investment benefit, and other capital gains divided by total number of people in the population including non-working residents. Average wages can differ from median wages; for example, the Social Security Administration estimated that the 2020 average wage in the United States was $53,383, while the 2020 median wage was $34,612.

Photo by Alexander Grey on Unsplash

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.

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.

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

Graph and download economic data for Average Hourly Earnings of All Employees, Total Private (CES0500000003) from Mar 2006 to Feb 2026 about establishment survey, earnings, average, hours, wages, private, employment, and USA.

This statistic illustrates the average wage per month in select countries in 2017 and with a projection to 2040. In 2040, it is estimated that the average monthly wage in the United States will be ***** U.S. dollars, an increase from ***** U.S. dollars in 2017.

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.

Key information about United States Monthly Earnings

• United States Monthly Earnings stood at 5,120 USD in Feb 2026, compared with the previous figure of 5,100 USD in Jan 2026
• US Monthly Earnings data is updated monthly, available from Mar 2006 to Feb 2026, with an average number of 3,492 USD
• The data reached the an all-time high of 5,120 USD in Feb 2026 and a record low of 2,741 USD in Mar 2006

CEIC calculates Monthly Earnings from Average Weekly Earnings multiplied by 4. 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 342 million people in Dec 2025
• Unemployment Rate of US increased to 4 % in Feb 2026
• The country's Labour Force Participation Rate increased to 62 % in Feb 2026

Key information about Poland Monthly Earnings

• Poland Monthly Earnings stood at 2,561 USD in Feb 2026, compared with the previous figure of 2,505 USD in Jan 2026
• Poland Monthly Earnings data is updated monthly, available from Oct 1994 to Feb 2026, with an average number of 1,014 USD
• The data reached the an all-time high of 2,657 USD in Dec 2025 and a record low of 261 USD in Oct 1994

CEIC converts Monthly Earnings into USD. Statistics Poland provides Gross Average Monthly Wage and Salary in local currency. Narodowy Bank Polski average market exchange rate is used for currency conversions. Monthly Earnings include Wages and Salaries in entities of the national economy in which the number of employed persons exceeds 9. Monthly Earnings exclude Budget entities conducting activity within the scope of National defence and Public safety, as well Paid employees abroad and in Social and Political organizations and trade unions. Monthly Earnings prior to January 2005 are based on NACE Rev 1.1.


Further information about Poland Monthly Earnings

• In the latest reports, Poland Population reached 37 million people in Dec 2025
• Unemployment Rate of Poland increased to 6 % in Jan 2026
• The country's Labour Force Participation Rate remained the same rate at 59 % in Dec 2025

Salary by Profession and Country Over Time

Salary Differences by Country and Profession

By Kelly Garrett [source]

About this dataset

This dataset contains survey responses from 882 data professionals from 46 countries who took part in the 2021 Global Data Professional Salary Survey. Our goal was to understand how much database administrators, data analysts, data architects, developers and data scientists make across the world in 2017-2021.

The survey covers three years of salary trends, allowing you to compare and contrast movements over time. It also includes an optional postal code field which can be used to identify global regions with specific salary trends. In addition, all questions asked this year were also asked in 2017 and 2018 so that you can easily track changes in compensation over three years.

The spreadsheet contains anonymized responses which are provided as public domain making it available for any purpose without attribution or mention of anyone else. With this dataset at your disposal you'll have access to the detailed salary information needed to make informed decisions about your career development!

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How to use the dataset

• Start by familiarizing yourself with the columns in this dataset. The columns range from age of respondent to country of residence. It also includes salary information for each year (average annual income for 2017, 2018, and 2019). Read through each column header carefully to understand what you're looking at.

• Explore some basic summary statistics about the sample group such as median salary levels by profession or average age by nationality are interesting ways to get acquainted with this data set quickly. Excel's native statistical tools may be used here if you're using an excel file version as your source material; otherwise, you can use any programming language or statistics software that supports importing an exportable CSV (Comma Separated Values) format file or conversion thereof into something manipulable form like a spreadsheet or table structure within your preferred platform..

• You'll then want to identify which factors might be influencing salaries such as experience level, gender and geographical location etc., and attempt some correlation testing between those features against salaries across different job roles or countries over time - where possible without having external datasets available terms of area data points matching up perfectly between thematic dimensions presented within the Respondents' Survey Results tab.. Subsets may also prove relevant when carrying out deeper statistical testing—for example isolating particular participation sets like Ireland alone versus looking at just Europe/Middle East/Africa region altogether..

• Finally look at how these factors have changed over time - it's worth bearing in mind that seasonality might play a role here too depending on where respondents originally reside so it could still be relevant if larger trends towards comparing yearly cohorts differs more widely than expected based purely national economic condition context changes during particular quarters throughout those periods tracked in our findings report � comparison purposes if looking country-by-country instead just individual profiles without taking overall stimulant effects into account e.g higher education qualifications among ~2 yr cohorts vs ~3 yr ones across different populations: Comparing annual amounts doled out employers making ultra-quick transitioning easier tracking changes alone isn't feasible because they're normalized

Research Ideas

• Analyzing regional salary gaps amongst data professionals within the same country, or between countries.
• Evaluating trends in salary rates over time by reviewing changes in year over year responses.
• Generating employer profiles by comparing the salary range of employees at different organizations and industries, as well storing demographic info of individuals who participated in the survey (i.e age range, gender etc)

Acknowledgements

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

License

Unknown License - Please check the dataset description for more information.

Columns

File: 2019_Data_Professional_Salary_Survey_Responses.csv

File: Data_Professional_Salary_Survey_Responses.csv

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit Kelly Garrett.

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.

Of the seven largest developed economies, in 2024, the United States had the highest average wage by a significant margin at over 82,933 U.S. dollars per year. Germany had the second-highest annual average wages at 69,433 U.S. dollars, followed by Canada at 69,417 U.S. dollars. Meanwhile, Japan had the lowest average wages out of the seven largest developed economies at 49,446 U.S. dollars.

As of the first half of 2023, Australia had the highest net salaries in the Asia-Pacific region at an average ***** U.S. dollars per month. In contrast, the average monthly net salary in Pakistan amounted to *** U.S. dollars per month in the same period.

Wages in Italy increased to 33148 EUR/Year in 2024 from 32450 EUR/Year in 2023. This dataset provides the latest reported value for - Italy Average Nominal Monthly Wages - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.