About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in German, New York, 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 13,773, while the mean income for the highest quintile (20% of households with the highest income) is 165,379. This indicates that the top earners earn 12 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 224,390, which is 135.68% higher compared to the highest quintile, and 1629.20% 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 German town median household income. You can refer the same here

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 ****** euros. Households consisting of three or more adults with kid(s) had the greatest disposable income on average, approximately ****** euros.

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in German town. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in German town. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in German town, the median household income stands at $91,667 for householders within the 25 to 44 years age group, followed by $82,500 for the 45 to 64 years age group. Notably, householders within the 65 years and over age group, had the lowest median household income at $56,875.

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.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

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 age. You can refer the same here

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.

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

A structured overview of the average, net, median, and minimum wage in Germany for 2025. This dataset combines original market research conducted by KUMMUNI GmbH with publicly available data from the German Federal Statistical Office. It includes values with and without bonuses, hourly minimum wage, and take-home pay after tax.

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.

Germany IES: Average Monthly Household Expenditure (AMHE) data was reported at 2,704.000 EUR in 2018. This records an increase from the previous number of 2,448.000 EUR for 2013. Germany IES: Average Monthly Household Expenditure (AMHE) data is updated yearly, averaging 2,245.000 EUR from Dec 1998 (Median) to 2018, with 5 observations. The data reached an all-time high of 2,704.000 EUR in 2018 and a record low of 2,061.000 EUR in 1998. Germany IES: Average Monthly Household Expenditure (AMHE) data remains active status in CEIC and is reported by Statistisches Bundesamt. The data is categorized under Global Database’s Germany – Table DE.H025: Household Income and Expenditure Survey.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in German town: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 0 households where the householder is under 25 years old, 24(21.43%) households with a householder aged between 25 and 44 years, 48(42.86%) households with a householder aged between 45 and 64 years, and 40(35.71%) households where the householder is over 65 years old.
• The age group of 25 to 44 years exhibits the highest median household income, while the largest number of households falls within the 45 to 64 years bracket. This distribution hints at economic disparities within the town of German town, showcasing varying income levels among different age demographics.

Content

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

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 age. You can refer the same here

In the past 3 years, there have been large fluctuations in consumer spending and smaller changes in disposable income in private German households. In 2024, disposable income had increased by *** percent compared to the previous year and consumer spending had increased by * percent. 2022 had the largest increase in consumer spending, at almost ** percent. Economic situation The economy has a big impact on consumer spending habits. In the wake of the pandemic, there have been several economic hardships, including extremely high inflation rates. Both 2022 and 2023 saw high inflation rates at **** and **** percent respectively. The general opinion among the German population is that the economic situation will get worse in the future, which could cause more caution in spending habits. This assessment is based on the perspective of the population and not a prediction of the direction in which the German economy is headed. So although it may influence spending patterns to some extent, the amount of money people receive each month and the price of goods will have a much bigger influence. Consumer goods The most popular non-food consumer goods that are bought in Germany are pharmaceuticals, orthopedic products, textiles, and clothing and shoes. The top result is perhaps unsurprising, as medication is something that is not optional to buy for those who are reliant on it and in some cases can be quite expensive. Similarly, clothing and shoes are also essentials and, for some people, a passion, in which case they can spend a substantial amount of money on cultivating their wardrobe. When it came to the best-selling FMCG products, the top three products were pasta products, organic fruit, vegetables, and salty snacks.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in German town: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 0 households where the householder is under 25 years old, 27(24.55%) households with a householder aged between 25 and 44 years, 41(37.27%) households with a householder aged between 45 and 64 years, and 42(38.18%) households where the householder is over 65 years old.
• The age group of 25 to 44 years exhibits the highest median household income, while the largest number of households falls within the 65 years and over bracket. This distribution hints at economic disparities within the town of German town, showcasing varying income levels among different age demographics.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 age. You can refer the same here

Germany - Population living in households considering that they suffer from noise: Below 60% of median equivalised income was 26.70% in December of 2023, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Germany - Population living in households considering that they suffer from noise: Below 60% of median equivalised income - last updated from the EUROSTAT on July of 2025. Historically, Germany - Population living in households considering that they suffer from noise: Below 60% of median equivalised income reached a record high of 35.30% in December of 2008 and a record low of 26.00% in December of 2020.

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.H025: Household Income and Expenditure Survey.

That year, among millennials aged 26 to 31 years, *** percent had no own income, while * percent earned less than 500 euros.

Germany Income & Expenditure Survey (IES): Households Covered data was reported at 52,782.000 Unit in 2018. This records a decrease from the previous number of 53,490.000 Unit for 2013. Germany Income & Expenditure Survey (IES): Households Covered data is updated yearly, averaging 53,490.000 Unit from Dec 1998 (Median) to 2018, with 5 observations. The data reached an all-time high of 62,150.000 Unit in 1998 and a record low of 52,782.000 Unit in 2018. Germany Income & Expenditure Survey (IES): Households Covered data remains active status in CEIC and is reported by Statistisches Bundesamt. The data is categorized under Global Database’s Germany – Table DE.H025: Household Income and Expenditure Survey.

Germany DE: Proportion of People Living Below 50 Percent Of Median Income: % data was reported at 11.000 % in 2020. This stayed constant from the previous number of 11.000 % for 2019. Germany DE: Proportion of People Living Below 50 Percent Of Median Income: % data is updated yearly, averaging 8.700 % from Dec 1991 (Median) to 2020, with 30 observations. The data reached an all-time high of 11.000 % in 2020 and a record low of 6.700 % in 1993. Germany DE: Proportion of People Living Below 50 Percent Of Median Income: % 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: Social: Poverty and Inequality. The percentage of people in the population who live in households whose per capita income or consumption is below half of the median income or consumption per capita. The median is measured at 2017 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries, medians are not reported due to grouped and/or confidential data. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

Germany - Median relative income of elderly people (60+) was 0.87% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Germany - Median relative income of elderly people (60+) - last updated from the EUROSTAT on July of 2025. Historically, Germany - Median relative income of elderly people (60+) reached a record high of 0.89% in December of 2014 and a record low of 0.85% in December of 2018.