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.

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.

Wages in Germany increased 1.20 percent in March of 2025 over the same month in the previous year. This dataset provides the latest reported value for - Germany Wage Growth - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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.

- Full-time workers, aged 15 years and older: In New Germany, among full-time, year-round workers aged 15 years and older, males earned a median income of $62,778, while females earned $47,813, leading to a 24% gender pay gap among full-time workers. This illustrates that women earn 76 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

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

Germany DE: Wages Index data was reported at 119.343 2010=100 in 2017. This records an increase from the previous number of 115.816 2010=100 for 2016. Germany DE: Wages Index data is updated yearly, averaging 98.357 2010=100 from Dec 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 119.343 2010=100 in 2017 and a record low of 83.569 2010=100 in 2000. Germany DE: Wages Index data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Germany – Table DE.IMF.IFS: Wages, Labour Cost and Employment Index: Annual.

Wages in Manufacturing in Germany decreased to 103.48 points in June from 105 points in May of 2025. This dataset provides the latest reported value for - Germany Hourly Wages in Manufacturing Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

In this studiy a compilation of the average earnings growth rates since 1850 on the basis of different sources is given: the yearly growth-rates of average work-income from 1850 to 1951 (according to Walther G. Hoffmann), the growth rate of average gross compensation, growth rate of gross hourly earnings of industrial workers, growth rate of gross earnings ( according to D. Schewe/K. Nordhorn, H.J. Müller und R. Skiba). Topics Timeseries available via the downloadsystem HISTAT: A.1 Die Wachstumsrate der Lohneinkommen im Deutschen Reich und in der Bundesrepublik Deutschland (1850-1959) B.1 Die Entwicklung der Wachstumsrate des durchschnittlichen Lohneinkommens im Deutschen Reich und in der Bundesrepublik Deutschland (1917-1967) B.2 Wachstumsrate der Lohneinkommen in der Bundesrepublik Deutschland (1951-1968) In der Studie werden aus verschiedenen Quellen die Wachstumsraten des Durchschnittslohns seit 1850 dargestellt, und zwar - die Wachstumsrate des jährlichen durchschnittlichen Arbeitseinkommens von 1850 bis 1951 (nach Walther G. Hoffmann), - die Wachstumsrate der durchschnittlichen Bruttoarbeitsentgelte nach der Sozialversicherung, - die Wachstumsrate der Brutto-Stundenverdienste der Industriearbeiter und - die Wachstumsrate des durchschnittlichen Lohneinkommens (nach D. Schewe/K. Nordhorn, H.J. Müller und R. Skiba). Die auf der Hoffmannschen Untersuchung fußende Berechnung der Wachstumsrate des durchschnittlichen Lohneinkommens lässt für die Zeit vor 1870 keinen durchgehenden langfristigen Trend erkennen. In den fünfziger Jahren zeigt sich ein deutlicher Anstieg auf fast 4%. Besonders starke Schwankungen nach oben und nach unten ergeben sich in den siebziger Jahren. Mit Beginn der achtziger Jahre setzt dann ein langfristig ansteigender Trend ein. Zwischen 1930 und 1935 weist die Lohnwachstumsrate negative Werte auf. In der Zeit von 1920 bis 1967 kann ein langfristig steigender Trend der Lohnwachstumsrate von der Mitte der dreißiger Jahre bis 1967 festgestellt werden (sieht man einmal von der Krisenzeit um 1930 und die ersten 6 Jahre nach dem Zweiten Weltkrieg ab). In dieser Zeit ist die Lohnwachstumsrate von rund 5% auf rund 8% gestiegen. Die durchschnittliche Wachstumsrate ab 1951 liegt bei rund 7,5%. Themen Daten im Recherche- und Downloadsystem HISTAT: A.1 Die Wachstumsrate der Lohneinkommen im Deutschen Reich und in der Bundesrepublik Deutschland (1850-1959) B.1 Die Entwicklung der Wachstumsrate des durchschnittlichen Lohneinkommens im Deutschen Reich und in der Bundesrepublik Deutschland (1917-1967) B.2 Wachstumsrate der Lohneinkommen in der Bundesrepublik Deutschland (1951-1968)

Germany DE: Wage And Salary Workers: Modeled ILO Estimate: Male: % of Male Employment data was reported at 89.680 % in 2021. This records an increase from the previous number of 88.524 % for 2020. Germany DE: Wage And Salary Workers: Modeled ILO Estimate: Male: % of Male Employment data is updated yearly, averaging 86.785 % from Dec 1991 to 2021, with 31 observations. The data reached an all-time high of 89.680 % in 2021 and a record low of 85.208 % in 2005. Germany DE: Wage And Salary Workers: Modeled ILO Estimate: Male: % of Male Employment data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Employment and Unemployment. Wage and salaried workers (employees) are those workers who hold the type of jobs defined as 'paid employment jobs,' where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not directly dependent upon the revenue of the unit for which they work.;International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed January 2021. https://ilostat.ilo.org/data/.;Weighted average;

Net annual earnings for a single earner family with two children in the European Union have increased from 25,434 euros in 2013 to 33,939 euros over the period from 2013 to 2023. Net earnings received a boost during the pandemic years of 2020 and 2021, in spite of gross earnings decreasing in 2020, due to reduced taxes and increased family allowances.

This study emerged in the context of a research project on “historical regional research” carried out between 1981 and 1985 at the central institute for social science research at the Free University of Berlin. It was financed by the free university of Berlin. The members of the research group were social and economic historians from different subject areas at the Free University of Berlin. They all shared the interest for a comparison of historical regions in Germany in the 19th and 20th century. In the opinion of the researchers this comparison was very suitable for the explanation of certain economic development and social movements because it gives a better impression of the importance of conditions and barriers in the different regions compared to the analysis of individual regions. Register of tables in HISTAT: A. Basic economic conditions A.1 Workers and relatives by economic sectors in the German Reich (1882-1907) A.2 Workers in mining, industry and crafts in the German Reich by industry (1875-1913) A.3 Population movement in the German Reich (1870-1914) A.4 Population growth in the Prussian provinces and in larger states of the German Reich (1871-1910) B. Development of wages B1. Annual nominal average wages in some German regions after Rüdiger Hohls (1891-1914) B.2 Companies, workers and wages by regions and trade associations (1885-1913)

This study examines three dimensions of wage inequality in Germany during four centuries (1485 - 1889), namely sectoral wage variations, skill premium as an indicator of the influence of human capital on wage income, and gender difference. It opens with an overview of the nominal and real wages of urban workers from the 16th to the 19th century. It examines the wages of the following groups: (1) for urban construction, the wages of skilled craftsmen are compared with the wages of unskilled workers (skill premium); (2) wages in agriculture are compared with wages in the industrial sector; (3) the wage evolution of the female agricultural labour force is analysed in relation to the wages of male agricultural workers. For this purpose, two data sets on wages recently compiled by the author are used, which are supplemented with additional information, in particular on wages in agriculture (see Pfister 2019, 217-222).The data set provided here includes a series on skill premiums in urban construction, a series on the daily wages of male farmworkers at the Nordkirchen and Westphalia estates, and synthetic series on nominal wages in urban construction and on the consumer goods price index over the long period 1500-1913. 1. the skill premium (Table A-01)The skill premium is measured here as the wage differential by which the daily wages of skilled craftsmen exceed those of unskilled workers (e.g. 0.51 means that the daily wages of skilled craftsmen are 51% higher than those of unskilled workers). Data from 18 cities are available for the determination of the skill premium. The database of prices and wages until 1850 compiled by Pfister (2017; GESIS ZA8636) represents the main source for the daily wages of both skilled and unskilled construction workers. For the period from 1840 to 1880, the wage data compiled in Pfister (2018; GESIS ZA8710) on the urban building trade is used as a supplementary source. Appendix 1 documents at the level of individual cities the sources and the years for which wage data are available. It should be emphasized that the data set is characterized by a high heterogeneity with regard to the trades covered, the length of the data series and the data density. For the construction of a time series of the skills premium at the level of Germany as a whole, the data are averaged over centered five-year periods (1483-1487, 1488-1482, .... 1883-1887) due to the low data density - there are on average only about three observations per year. The skill premium is then first calculated individually for each city and each five-year period for which data are available for both skilled and unskilled construction workers; a total of 393 data points are thus obtained. In a second step, an unbalanced panel regression with fixed effects for the cities and the five-year periods is estimated using feasible GLS, with the error variants partitioned by time periods (for details, see Pfister 2019, 218). A time series can be calculated on the basis of the regression coefficients for the five-year periods; it was scaled with the mean skill premium in the period 1773-1778. This is because the data density is highest in this period, as data are available for ten cities. The result is shown in Pfister (2019, 228, Figure 4) and made available here in Table A-01. 2. wages of agricultural workers (Table A-02)Wage data in agriculture are usually quoted as daily wages. They differ according to the type of activity and whether the agricultural worker receives food and accommodation or not. In the study only such wages without provision of food and accommodation are taken into account. The monetary amounts are standardized to Marks per day. The study uses the account books of a large aristocracy possession, the results of surveys carried out in connection with land reform and the compilation of land tax registers, social statistical surveys and a re-analysis of the database by Neumann (1911) to construct a series of farmworkers´ wages for Westphalia for the period around 1730-1892. The individual data points are defined as follows:1730-1810: Average daily wage on the Nordkirchen aristocratic estate, centered ten-year periods. Source: original source are the account books; collection of wage data and construction of a wage index in Bracht / Pfister (2019, Annex A3).1818: Daily wage of men in Westphalia; average value for the three administrative districts for so-called domestic work. The values for the administrative districts are mean values of data at district level. Source: Kuczynski (1961, vol. 1, p. 361 f., 371); original source is a survey by the Prussian authorities.1825-1845: Daily wage of men in Westphalia, centered five-year periods. Values for the entire Kingdom of Prussia were scaled to the level of Westphalia using the value for Westphalia in 1848/50 (see below). Source: Reanalysis of the Neumann database (2011); see Annex 2.1848/50: Daily wages of men in Westphalia, mean value of wages for harvesting work and ...

Wages In the Euro Area increased 3.40 percent in March of 2025 over the same month in the previous year. This dataset provides the latest reported value for - Euro Area Wage Growth - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The study of Jürgen Nautz deals with selected aspects of tariff autonomy and wage development during the years of inflation in the Weimar Republic. First the development of wages will be presented in the context of cost of living. To investigate the question of tariff autonomy in the inflation period it is of special interest to analyze the usage of arbitration instruments by unions, management and the state. Another central subject of this study is the fundamental position concerning the question of the design of important relations. Two themes are in the focus of interest; the ideas of the further refinement of the collective bargaining principle and the arbitration of labor disputes. Especially concerning tariff autonomy legal positions were developed during the inflation years which had an important impact on the discussion about tariff autonomy during the entire period the Weimar Republic. Data tables in HISTAT: A.1 Development of cost of living: Index of the statistical office of the German Empire (1920-1923) A.2 Index of average real weekly wages per collective agreement Index (1913-1923) A.3 Real weekly and real hourly wages of unskilled and skilled workers (1919-1923) A.4 Strikes and lockouts (1918-1924) A.5 Number of collective agreements (1918-1929) Der Beitrag von Jürgen Nautz widment sich ausgewählten Aspekten zum Problembereich der Tarifautonomie und der Lohnentwicklung in der Zeit der Inflationsjahre während der Weimarer Republik. Als erstes wird die Entwicklung der Löhne auf dem Hintergrund der Lebenshaltungskosten dargestellt. Für die Frage nach dem Zustand der Tarifautonomie in der Inflationsphase ist die Handhabung des Schlichtungsinstrumentariums durch die Tarifparteien und den Staat von besonderem Interesse. Ein zentraler Gegenstand dieses Beitrages ist auch die Darstellung der grundsätzlichen Positionen in der Frage der Gestaltung der industriellen Beziehungen. Dabei stehen zwei Topoi im Mittelpunkt des Interesses: die Vorstellungen von der weiteren Ausgestaltung des Tarifvertragsprinzips und der Schlichtung von Arbeitsstreitigkeiten. Gerade in der Frage der Tarifautonomie sind in den Inflationsjahren Rechtspositionen entwickelt worden, die prägend waren für die Diskussion der Tarifautonomie während der gesamten Phase der Weimarer Republik. Datentabellen in HISTAT: A.1 Entwicklung der Lebenshaltungskosten: Index des Statistischen Reichsamts (1920-1923) A.2 Index der durchschnittlichen Realwochenlöhne je Tarifvertrag (1913-1923) A.3 Realwochen- und Realstundenlohnsätze ungelernter und gelernter Arbeiter (1919-1923) A.4 Streiks und Aussperrungen (1918-1924) A.5 Zahl der Tarifverträge (1918-1929) Quellen: Daten aus der Forschungsliteratur. Statistisches Jahrbuch für das Deutsche Reich, Jg. 1914 – 1933.

The Personal Income Tax Rate in Germany stands at 45 percent. This dataset provides the latest reported value for - Germany Personal Income Tax Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Datatable in the search- and downloadsystem HISTAT Information: HISTAT is offered only in German language. 01. Durchschnittslöhne und Lebenshaltungskosten in Ost- und Westdeutschland (= Average wages and cost of living in East and West Germany) (1938-1989) 02. Kaufkraftbereinigte Nettodurchschnittseinkommen der Arbeiter- und Angestelltenhaushalte der DDR in Relation zu denen der Bundesrepublik (= Net average income, adjusted for purchase power, of workers and employees households in the GDR in relation to those of the Federal Republic) (1950-1988) 03. Anteil der Eigentumsformen am Nettoprodukt der Wirtschaftsbereiche (= Share of different modes of ownership in the net product of economic sectors) (1950-1988) 04. Ausstattungsbestand der Haushalte in der DDR mit langlebigen technischen Konsumgütern (= Stock of Equipment of homes in the GDR with durable consumer goods) (1955-1989) 05. Entwicklung der Wohnungsversorgung in der SBZ/DDR und in der Bundesrepublik, Wohnungseinheiten (WEH) (= Development of housing supply in the former Sovjet occupation zone / GDR and the Federal Republic, housing units) (1939-1989) 06a. DDR/NBL: Struktur der Haushaltsausgaben nach Haushaltstypen, in Mark/DM (= Structure of household expenses by household types, in mark/DM) (1949-1992) 06b. BRD/ABL: Struktur der Haushaltsausgaben nach Haushaltstypen, in DM (Structure of household expenses, in DM) (1950-1992) 07. Sparquoten in der Bundesrepublik und der DDR (= Savings rates of the Federal Republic of Germany and of the former GDR) (1950-1989) Oskar Schwarzer beschäftigt sich im Rahmen seiner Untersuchung „Sozialistische Zentralplanwirtschaft in der SBZ/DDR. Ergebnisse eines ordnungspolitischen Experiments (1945-1989)“ (Stuttgart: Franz Steiner Verlag, 1999) in einem letzten Abschnitt gesondert mit dem Lebensstandard und der Eigentums- und Vermögensstruktur in der DDR. Die stetige Steigung des Lebensniveaus war ein erklärtes ideologisches Ziel der SED, zum einen, um die Legitimation der Parteiherrschaft zu erhöhen, und zum anderen, um soziale Unruhen zu verhindern. Dabei erreichte die DDR-Bevölkerung 1989 etwa den Stand des westdeutschen Niveaus von Anfang der 70er Jahre. Trotzdem war der Lebensstandard im Vergleich zur Produktivität in der DDR zu hoch. Das private Eigentum spielte in der DDR kaum eine Rolle. Es gab keinen Anreiz, Grund und Boden zu besitzen. „Das gesellschaftliche Volkseigentum war- ideologisch bedingt – die dominante Form des Eigentums“ (Schwarzer, a.a.O., S. 186) stellt Schwarzer fest. „Insgesamt hatte das Sparvermögen in der DDR stets einen Anteil von mehr als 80% am gesamten Geldvermögen der DDR“ (Schwarzer, a.a.O., S. 190). Die Analyse des Lebensstandards ist nach Oskar Schwarzer nur in vergleichender Perspektive sinnvoll Üblicherweise wird die Analyse auf der Ebene von Haushalten durchgeführt. „Der Begriff ‚Lebensstandard’ wird hier eine zweifacher Bedeutung zugewiesen: einmal als volkswirtschaftliche Größe (als volkswirtschaftliche Größe wird Lebensstandard durch das je Einwohner erwirtschaftete Bruttosozialprodukt ausgedrückt) und zum anderen als Lebenshaltung der einzelnen Haushalte. Da die Kapitalbildung, d.h. das Ergebnis der Spar- und Investitionsprozesses, ein sehr wichtiger Faktor der Wohlstandsentwicklung ist, muss auch die Fähigkeit und Art der Vermögensbildung als verbindender Faktor im Zeitablauf Berücksichtigung finden“ (Schwarzer, a.a.O., S. 169). Die Studie von Oskar Schwarzer berücksichtigt neben der Einnahmen- und Ausgabenrechnung privater Haushalte die Sparquoten und die Verschiebung des privaten in den staatlichen Sektor (Anteil der Eigentumsformen am Nettoprodukt der Wirtschaftsbereiche). Die Entwicklung einiger Indikatoren des Lebensstandards (Wohnungsversorgung, Ausstattungsbestand der Haushalte mit langlebigen technischen Konsumgütern in der SBZ/DDR) werden exemplarisch in Übersichten dargestellt. Datentabellen in HISTAT: 01. Durchschnittslöhne und Lebenshaltungskosten in Ost- und Westdeutschland (1938-1989) 02. Kaufkraftbereinigte Nettodurchschnittseinkommen der Arbeiter- und Angestelltenhaushalte der DDR in Relation zu denen der Bundesrepublik (1950-1988) 03. Anteil der Eigentumsformen am Nettoprodukt der Wirtschaftsbereiche (1950-1988) 04. Ausstattungsbestand der Haushalte in der DDR mit langlebigen technischen Konsumgütern (1955-1989) 05. Entwicklung der Wohnungsversorgung in der SBZ/DDR und in der Bundesrepublik, Wohnungseinheiten (WEH) (1939-1989) 06a. DDR/NBL: Struktur der Haushaltsausgaben nach Haushaltstypen, in Mark/DM (1949-1992) 06b. BRD/ABL: Struktur der Haushaltsausgaben nach Haushaltstypen, in DM (1950-1992) 07. Sparquoten in der Bundesrepublik und der DDR (1950-1989)