Wages in Germany increased to 4479 EUR/Month in 2023 from 4244 EUR/Month in 2022. This dataset provides the latest reported value for - Germany Average Gross Monthly Earnings - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The average net annual salary per employee in Germany amounted to around 30,665 euros in 2023. Approximately 18 percent of German households had a monthly net income of 5,000 euros or more that year.

As of 2023, the average annual wage of Germany was 48,301 euros per year, a growth of almost 6,000 Euros when compared with 2000. From 2000 until 2007, wages rose by less than a thousand euros, with wage growth accelerating mainly in the period after 2010. Comparisons with rest of the EU Within the European Union Luxembourg had an average annual salary of almost 80 thousand Euros, with Germany having an annual salary comparable to other large European Countries, such as the United Kingdom and France. In neighboring Poland, the average annual salary was just over 39 thousand U.S dollars, meaning that German’s earned, on average, 20 percent more than what their Polish counterparts did. German economy slowing in 2023 While Germany initially had one of the strongest recoveries from the 2008 financial crash and as of 2020 had the largest economy in Europe its economy has started to slow in recent years. For 2023 the German economy is contracted by 0.26 percent, and while 2024 marked a slight improvement, the expectations are that 2025 remains a year of slow growth.

Key information about Germany Monthly Earnings

• Germany Monthly Earnings stood at 5,369 USD in Dec 2024, compared with the previous figure of 5,026 USD in Sep 2024
• Germany Monthly Earnings data is updated quarterly, available from Mar 1991 to Dec 2024, with an average number of 3,739 USD
• The data reached the an all-time high of 5,369 USD in Dec 2024 and a record low of 2,213 USD in Jun 1991

• In the latest reports, Germany Population reached 85 million people in Dec 2023
• Unemployment Rate of Germany remained the same at 3 % in Dec 2024
• The country's Labour Force Participation Rate increased to 56 % in Jun 2024

The average net monthly salary in Germany amounted to 2,555 euros in 2023. Figures generally increased annually during the timeline shown in the graph. Germany recorded the highest average salaries compared to other leading EU economies.

In April 2023, full-time employees in the financial and insurance activities sector had the highest average gross monthly earnings in Germany, at 5,841 euros. Other high-earning sectors in this ranking included information and communication and electricity, gas, steam, air conditioning supply.

In 2023, the average monthly wage of women in Germany was 4,000 euros. Men had a higher monthly salary at 4,702 euros. Generally, wages increased yearly.

In 2023, men in Germany who were employed full-time earned a monthly average of 4,702 euros. This figure has been increasing during the whole period displayed. The timeline at hand shows the average monthly gross earnings of men employed full-time in Germany from 1991 to 2023.

The analysis of real wages has a long tradition in Germany. The focus of the acquisition is on company wages, on wages of certain branches or for categories of workers as well as on the investigation of long term aggregated nominal and real wages. The study of Ashok V. Desai on the development of real wages in the German Reich between 1871 and 1913 is an important contribution to historical research on wages. The study is innovative and methodically on an exemplary level. But mainly responsible for the upswing in the historical research on wages in the 50s and 60s is an extraordinary publication by Jürgen Kuczynski. “The new historical research on wages in Germany is insolubly connected with Jürgen Kuczynski. In his broad researches the history of wages is only one section among many other themes but it is a very important one can be seen as the core piece of his work.” (Kaufhold, K.H., 1987: Forschungen zur deutschen Preis- und Lohngeschichte (seit 1930). In: Historia Socialis et Oeconomica. Festschrift für Wolfgang Zorn zum 65. Geburtstag. Stuttgart: Franz Steiner Verlag, S, 83). In his first study on long series on nominal and real wages in Germany he used a broad empirical basis and encouraged more research in this area. His weaknesses are methodological inconsistencies and a restricted representativeness. For example he includes tariff wages but also actually paid wages. Some important industries like food or textile industry are not taken into account. Wages in agriculture were often estimated but without enough material necessary for a good estimation. Wages for work at home are not regraded in the calculation of the index. The weight of cities in the calculation of the index is relatively too high compared to rural regions and therefor it leaks regional representativeness. In his study Desai uses the reports of trade associations for the Reich´s insurance office on the persons who are insured in the accident insurance and their wages as a basis for the calculation of annual nominal average wages. Desais focusses on industrial wages because only for them long term series are available. As the insurance premiums are calculated according to the income level the documents of the trade associations can be used for the calculation of an index for wages development. Desais study is also very useful regarding the calculation of a new index for costs of living based the model of a typical worker family. „F. Grumbach and H. König have used the same sources to derive indices of industrial earnings. The main differences between their series and ours are: (a) we have adopted the industrial classification followed by the Reichsversicherungsamt, while Grumbach and König have made larger industrial groups, (b) we have calculated average annual earnings, while they claim to have calculated average daily earnings (i.e. to have adjusted the annual figures for the average number of days worked per year per worker), and (c) they have failed to correct distortions in the original data” (Desai, A.V., 1968: Real Wages in Germany 1871–1913. Oxford. Clarendon Press, S. 4).

Register of tables in HISTAT: A. Overviews A.1 Overview: Different estimations of the real and nominal gross wages in the German Reich, index 1913 = 100 (1871-1913) A.2 Overview: Development of costs of living, index 1913 = 100 (1871-1913) A.3 Overview: Development of nominal and real wages, index 1913=100 (1844-1937)

D. Study by Ashok V. Desai D.01 Different estimations of real wages in the German Reich, index 1895 = 100 (1871-1913) D.02 Annual average wage (1871-1886) D.03 Annual gross wages in chosen production segments (1887-1913) D.04 Annual average wage in industry, transportation and trade (1871-1913) D.05 Construction of an index for costs of living, 1895 = 100 (1871-1913) D.06 Real wages, in constant prices from 1895 (1871-1913) D.07 Wheat prices and prices for wheat bread (1872-1913) D.08 Rye prices and prices for rye bread (1872-1913) D.09 Average export prices by product groups, index 1895 = 100 (1872-1913) D.10 Average import prices by product groups, index 1895 = 100 (1872-1913) D.11 Average export prices, import prices and terms of trade, index 1895 = 100 (1872-1913)

O. Study by Thomas J. Orsagh O. Adjusted indices for costs of living and real wages after Orsgah, index 1913 = 100 (1871-1913)

Explore the progression of average salaries for graduates in German Studies And Literature from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of German Studies And Literature relative to other fields. This data is essential for students assessing the return on investment of their education in German Studies And Literature, providing a clear picture of financial prospects post-graduation.

This statistic shows the results of a survey conducted in Germany on the share of millennials among the population, broken down by their net income in 2021. That year, among millennials aged 26 to 31 years, 3.9 percent had no own income, while 7 percent earned less than 500 euros.

This study examines the short-term effects of the introduction of a statutory minimum wage in Germany on hourly wages, monthly wages and paid working hours. We exploit a novel panel dataset by linking the Structure of Earnings Survey (SES) 2014 and the Earn-ings Survey (ES) 2015 and apply a difference-in-differences approach at the establishment level. The results indicate an effect of the introduction of the statutory minimum wage on the average hourly wages of employees in minimum wage establishments of up to 5.9 percent. Due to negative effects on average working time of approximately minus 3.1 percent, the effects on monthly gross earnings are smaller but still amount to up to 2.7 percent on aver-age. The results further suggest that the minimum wage effects on earnings were greater among low-wage employees than on average, in eastern Germany than in western Germany, and among part-time employees and marginal employees than among full-time employees.

Explore the progression of average salaries for graduates in German And Business Administration (Dual Major) from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of German And Business Administration (Dual Major) relative to other fields. This data is essential for students assessing the return on investment of their education in German And Business Administration (Dual Major), providing a clear picture of financial prospects post-graduation.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in New Germany. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In New Germany, the median income for all workers aged 15 years and older, regardless of work hours, was $53,438 for males and $33,889 for females.

These income figures highlight a substantial gender-based income gap in New Germany. Women, regardless of work hours, earn 63 cents for each dollar earned by men. This significant gender pay gap, approximately 37%, underscores concerning gender-based income inequality in the city of New Germany.

Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in New Germany.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for New Germany median household income by race. You can refer the same here

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in German town. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In German town, the median income for all workers aged 15 years and older, regardless of work hours, was $41,000 for males and $36,500 for females.

Based on these incomes, we observe a gender gap percentage of approximately 11%, indicating a significant disparity between the median incomes of males and females in German town. Women, regardless of work hours, still earn 89 cents to each dollar earned by men, highlighting an ongoing gender-based wage gap.

Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in German town, showcasing a consistent income pattern irrespective of employment status.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for German town median household income by race. You can refer the same here

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