This statistic shows the average disposable income of German households in 2017, by household type. Households with only one person had the lowest average disposable income at 20,461 euros. Households consisting of three or more adults with kid(s) had the greatest disposable income on average, approximately 66,000 euros.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in New Germany, MN, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 30,969, while the mean income for the highest quintile (20% of households with the highest income) is 215,949. This indicates that the top earners earn 7 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 309,570, which is 143.35% higher compared to the highest quintile, and 999.61% higher compared to the lowest quintile.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

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. You can refer the same here

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.

About this dataset

Context

The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Germany township. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

• White: In Germany township, the median household income for the households where the householder is White increased by $5,792(5.81%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $99,625 in 2013 and $105,417 in 2023.
• Black or African American: As per the U.S. Census Bureau population data, in Germany township, there are no households where the householder is Black or African American; hence, the median household income for the Black or African American population is not applicable.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Germany township.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• 2023: 2023 median household income
• Please note: All incomes have been adjusted for inflation and are presented in 2023-inflation-adjusted dollars.

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 Germany township median household income by race. You can refer the same here

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.

Germany had an average salary of 65.7 thousand U.S dollars per year in 2023, the highest among the five largest European economies. Germany has consistently had the highest wages in Europe over the last thirty years. Many countries in Europe experienced a significant decrease in their average wage level following the global financial crisis of 2008, with France and Germany bucking this trend by retaining robust wage growth. While British wages have stagnated since the crash, only surpassing their 2007 level in 2019, Italian and Spanish wages have in fact fallen, driven by the macroeconomic troubles of these countries since the Eurozone crisis.

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

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)

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.

Germany IES: AMHI: Net Income data was reported at 3,661.000 EUR in 2018. This records an increase from the previous number of 3,132.000 EUR for 2013. Germany IES: AMHI: Net Income data is updated yearly, averaging 2,914.000 EUR from Dec 1998 (Median) to 2018, with 5 observations. The data reached an all-time high of 3,661.000 EUR in 2018 and a record low of 2,615.000 EUR in 1998. Germany IES: AMHI: Net Income data remains active status in CEIC and is reported by Statistisches Bundesamt. The data is categorized under Global Database’s Germany – Table DE.H023: Household Income and Expenditure Survey.

About this dataset

Context

The dataset presents the median household income across different racial categories in Germany township. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Germany township population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 93.77% of the total residents in Germany township. Notably, the median household income for White households is $105,417. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $105,417.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Germany township.
• Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

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 Germany township median household income by race. You can refer the same here

The present study aims to estimate the development of employment and wages in Germany based on accident insurance statistics. Data on the number of insured persons allow an estimation of employment by economic groups. Thereby it is important to take the increasing share of insured persons in the entire labor force in consideration. Data from the accident insurance is suitable for wage statistics because besides the values of the earned wages it also contains numbers on the yearly average of employees corrected for the number of working days. The investigation period is from 1888 to 1954 with the exception of the years of war and hyperinflation. The first three years after the introduction of the accident insurance are not taken into account as there are no reliable documents for this period. The analysis is restricted to the economic sectors which were subject to compulsory insurance since the beginning of the investigation period: industry, crafts and traffic. In the sector of traffic extra sources for data on railways were used. The increasing significance of the industrial sector regarding the overall economic employment volume as well as the income generation can be seen looking at the development of the number of employees and wages in relation to the per capita income growth. The industrialization process leads to structural changes in the entire economy which results in a steady relative decline in the agrarian sector. Within the industrial sector most chances and developments are in favor of the industries producing mainly investment goods. This process causes that the growth rates of industrial employment, of average wages and of the wage level primarily depend on those industry groups. Due to these different growth processes within the industrial sector a theoretical differentiation of the wage structure of both groups is necessary because the investment goods industries which has a higher need of expansion need to pay higher wages in order to get the necessary workforce for their expansion. At the beginning of the first world war the wage difference between the two industry groups has increased to 36,5% in 1913 ( it was only 26,5% in 1888). But in the following years there is not such a strong tendency. Probably the increasing power of trade unions caused a consolidation of the “traditional” wage structure. This is also supported by the fact that wage differences between all industries are quite small in the period after the First World War. The increases in real wages during the investigation period are smaller than 100%. This results in a yearly average increase of ca 1%. This is a development of real wages on a significantly lower level compared to other countries such as Sweden, France, Great Britain and The US. A reason for this is the missing real wage increase during the years of war and the first years after the war.

Register of tables in HISTAT: - Working population in thousands with their main profession in Germany (1882-1950) - Employees in Germany (1882-1954) - Index number for costs of living, nominal wages and real wages in Germany (1888-1954) - Development of average wages in the industry groups in the German (1888-1912) - Shares of different industry groups in the total labor force in Germany (1882-1954)

About this dataset

Context

The dataset illustrates the median household income in New Germany, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2023, the median household income for New Germany increased by $7,303 (9%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 7 years and declined for 6 years.

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 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2023
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2023 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

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. You can refer the same here

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