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πŸ’΅ Annual Salary Survey in Germany

·315 words
Public Survey Data Analysis Python
Ksenia Legostay
Author
Ksenia Legostay
I love playing around with data in my free time

An anonymous salary survey has been traditionally conducted annually since 2015 among European IT specialists in Germany. Below, you will find an in-depth comparative analysis of the aggregated anonymised responses from voluntary participants.

Salary survey report 2024
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Take a look at the latest report by clicking here.

If you enjoyed this or found it helpful, feel free to star the repo on GitHub ⭐

πŸš€ How It All Started
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The survey initially began in 2015 within the Russian-speaking community and has been conducted every December for the past nine years. While the audience has broadened over time, a significant portion of respondents remains expatriates, which may introduce certain biases into the results.

πŸ“‹ Purpose
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The primary goal of this survey is to assess the market value of IT skill sets, taking into account factors like years of experience, job position, tools proficiency, and more. In the survey report you will find a comprehensive comparative analysis of anonymized data collected from voluntary participants across Germany. You’re also invited to explore detailed analytics from previous years’ surveys in the archived articles. For example, the first chart of this report illustrates the trend in the median annual base salary among respondents since 2015.

πŸ‘₯ Audience
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Since 2015, an anonymous salary survey has been conducted annually among European IT specialists, with a particular focus on Germany. From 2021 year, the scope was refined even further, dedicating the survey exclusively to Germany. This shift was driven by the significant economic differences across European countries β€” such as variations in taxation and cost of living β€” that heavily influence local salary benchmarks. Most respondents are expats living in Germany and working either for Germany or abroad (remote).

πŸ“‚ Additional Resources
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  • πŸ“Š Previous analysis for 2023 can be found here.
  • πŸ“ Previously collected raw datasets (2019-2024) are available here.
  • πŸ› οΈ Project repository on Github - this link.