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 "**Salary Data Worldwide**" dataset provides insights into wage statistics across different countries and continents. It includes information on median, average, lowest, and highest salaries, categorized by country and continent. This dataset can be valuable for analyzing salary disparities and trends worldwide.

Columns:

country_name - The name of the country. continent_name - The name of the continent where the country is located. wage_span - The frequency of salary data (e.g., Monthly). median_salary - The median salary in the country/region. average_salary - The average salary in the country/region. lowest_salary - The lowest reported salary in the country/region. highest_salary - The highest reported salary in the country/region. This dataset is a valuable resource for conducting global salary analyses, understanding salary distributions, and making cross-country salary comparisons. It can be used by data analysts, researchers, and policymakers interested in labor market trends and salary-related insights.

Usage: This dataset is suitable for exploratory data analysis (EDA), statistical analysis, and creating data visualizations to better understand salary data trends across countries and continents.

Acknowledgments: The data sources for this dataset may vary, and it's important to cite the original sources when using the dataset for analysis or research.

Luxembourg had the highest average annual wage in Europe in 2024, at approximately ****** U.S. dollars when adjusting for purchasing power parity (PPP). Greece, which had an average annual salary of less than *******U.S dollars a year, had the lowest among the countries provided in this statistic.

The average for 2021 based on 12 countries was 34.3 percent. The highest value was in Colombia: 43.7 percent and the lowest value was in El Salvador: 29 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.

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 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)

The country with the highest minimum wage rate in Europe during the first half of 2025 was Luxembourg, with a minimum wage of 2638 euros. Ireland, the Netherlands, and Germany were the countries with the next highest minimum wages, all above 2000 euros a month, while Albania, Bulgaria, and Montenegro had the lowest minimum wages in the same period.

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

𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝗳𝘂𝗹 𝗗𝘆𝗻𝗮𝗺𝗶𝗰 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱 𝗼𝗳 𝗚𝗹𝗼𝗯𝗮𝗹 𝗦𝗮𝗹𝗮𝗿𝘆 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 🌎💲

Hello Kaggle Community!👋 Take a look at my new project on Global Salary Analysis. My goal is to uncover Insights and transform Numerical Data into Narratives. I prioritize data cleanliness for Optimal Utilization. This balanced approach serves both technical and Non-Technical Audiences, making Data easily Understandable. Then, I explore the comprehensive Dashboard to Derive Meaningful Conclusions from the Analysis. I have also created a separate sheet dedicated to a Full Map Visual to take a look at the bigger picture which is Fully Dynamic with the help of Data Validation. Also I have created a button by basic VBA code to navigate to the map sheet and come back to the Dashboard sheet. 📊📈

𝗗𝗮𝘁𝗮-𝗗𝗿𝗶𝘃𝗲𝗻 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝗳𝗿𝗼𝗺 𝘁𝗵𝗶𝘀 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱:

1. 𝗖𝗼𝘂𝗻𝘁𝗿𝗶𝗲𝘀 𝗧𝗼 𝗪𝗮𝘁𝗰𝗵 𝗢𝘂𝘁: 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝘁𝗵𝗲 𝘁𝗼𝗽 𝟭𝟬 𝗰𝗼𝘂𝗻𝘁𝗿𝗶𝗲𝘀 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗵𝗶𝗴𝗵𝗲𝘀𝘁 𝗮𝘃𝗲𝗿𝗮𝗴𝗲 𝘀𝗮𝗹𝗮𝗿𝗶𝗲𝘀. Switzerland might be a lucrative career move. With the highest average salary ($11,293), Switzerland could be an attractive option if you're open to relocation and have the necessary skills for the job market there.

2. 𝗖𝗼𝘂𝗻𝘁𝗿𝗶𝗲𝘀 𝗧𝗵𝗮𝘁 𝗠𝗶𝗴𝗵𝘁 𝗡𝗼𝘁 𝗔𝗻 𝗜𝗱𝗲𝗮𝗹 𝗖𝗵𝗼𝗶𝗰𝗲: 𝗟𝗼𝗼𝗸 𝗼𝘃𝗲𝗿 𝘁𝗵𝗲 𝘁𝗼𝗽 𝟭𝟬 𝗰𝗼𝘂𝗻𝘁𝗿𝗶𝗲𝘀 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗹𝗼𝘄𝗲𝘀𝘁 𝗮𝘃𝗲𝗿𝗮𝗴𝗲 𝘀𝗮𝗹𝗮𝗿𝗶𝗲𝘀. Unfortunately, we have some countries that might not pay you much according to your skillset.

3. 𝗟𝗼𝗼𝗸 𝗔𝘁 𝗧𝗵𝗲 𝗕𝗶𝗴𝗴𝗲𝗿 𝗣𝗶𝗰𝘁𝘂𝗿𝗲: 𝗧𝗮𝗿𝗴𝗲𝘁 𝘆𝗼𝘂𝗿 𝗷𝗼𝗯 𝘀𝗲𝗮𝗿𝗰𝗵 𝘁𝗼 𝗡𝗼𝗿𝘁𝗵 𝗔𝗺𝗲𝗿𝗶𝗰𝗮 𝗮𝗻𝗱 𝗘𝘂𝗿𝗼𝗽𝗲. Based on the high average salaries, these regions might offer better compensation for your skills and experience.

𝗡𝗼𝘁𝗲: All Salaries are stated in a monthly format and in USD.

DataAnalytics #DataAnalysis #DataAnalyst #DataStorytelling #BusinessIntelligence #DataVisualization #DataDrivenInsight

As of 2024, Morocco had the highest average monthly salaries in Africa. Employees in the country earned around ***** U.S. dollars per month. South Africa and Tunisia followed, with average monthly salaries amounting to ***** U.S. dollars and ***** U.S. dollars, respectively.

This dataset provides values for WAGES IN MANUFACTURING 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 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 2023, the United States had the highest average wage by a significant margin at over 77,000 U.S. dollars per year. Canada had the second highest annual average wages, followed by Germany. Meanwhile, Japan had the lowest average wages out of the seven largest developed economies.

Graph and download economic data for Population Growth for High Income OECD Countries (SPPOPGROWOEC) from 1961 to 2014 about OECD Economies, income, population, and rate.

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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For more datasets, click here.

Featured Notebooks

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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.

United States US: Income Share Held by Highest 10% data was reported at 30.600 % in 2016. This records an increase from the previous number of 30.100 % for 2013. United States US: Income Share Held by Highest 10% data is updated yearly, averaging 30.100 % from Dec 1979 (Median) to 2016, with 11 observations. The data reached an all-time high of 30.600 % in 2016 and a record low of 25.300 % in 1979. United States US: Income Share Held by Highest 10% data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Poverty. Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.

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

European Wages and Salaries in Medium-High (3-Digit Definition) R&D Intensive Activities by Country, 2023 Discover more data with ReportLinker!

. 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