About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in German Flatts, 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 13,816, while the mean income for the highest quintile (20% of households with the highest income) is 164,009. 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 252,643, which is 154.04% higher compared to the highest quintile, and 1828.63% 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 Flatts town median household income. You can refer the same here

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.

Dieter Schwarz, according to Forbes, was the wealthiest person in Germany as of 2025, with assets amounting to around 38.5 billion U.S. dollars. Dieter Schwarz is the owner of the Schwarz Gruppe, which owns both the supermarket chains Kaufland and Lidl. Klaus-Michael Kühne follows in second place. Among other things, he is the majority owner of the logistics company Kühne + Nagel International AG. Who are the richest people in Germany? Dieter Schwarz is the owner of the Schwarz Gruppe, which owns both the supermarket chains Kaufland and Lidl. In 2023, the Schwarz Gruppe recorded around 56.55 million euros in revenue. Karl Albrecht Jr. is the owner of the popular discount grocery store chain Aldi Süd. As of 2023, there were over 2,000 Aldi Süd stores in Germany. This, of course, does not include all the stores in other countries such as Ireland, the United Kingdom, and Australia, just to name a few. German salaries Germany currently has the highest GDP in Europe. However, this does not mean that everyone in Germany is a billionaire. The average salary is, in fact, around 48,380 euros. Although the trend is that German salaries have been on the rise since 2000, there has been a dip since 2019. This is probably due to the COVID-19 pandemic and the inflation of 2022.

The rising share of national income taken by the top one percent of earners is a common thread amongst almost all European countries over the past half century. As economic globalization took hold throughout the 1980s and 1990s, European countries experienced de-industrialization due to the emergence of international competitors, mostly in East Asia. At the same time, information technology and finance became much more important for most European economies, while growth in these sectors tends to favor high earners. This rise in inequality is also often also attributed to the ascendence of 'neoliberal' economic and political ideas which prioritized free markets and the privatization of government-owned businesses. Russia: the explosion of inequality after the fall of communismAmong the largest European economies, the Russian Federation stands out as the country which experienced the sharpest increase in inequality, as a small number of 'oligarchs' took control of the major industries after the collapse of the Soviet Union and the end of communist rule in 1991. The top one percent in Russia increased their share of national income five-fold over the 20 years from 1987 to 2007, when inequality in the country reached its peak as the oligarchs took home over a quarter of the country's income. Turkey: falling share of national income taken by top earners****** has bucked the trend of the rising income share for the richest over this period, as its extremely concentrated income distribution has in fact become somewhat more equitable. The highest earners in Turkey saw their share of national income drop from almost ** percent in the early *****, to a low of ** percent in 2007, after which it has stabilized between ** and ** percent. Western Europe: gradually rising share of national income for the richThe five western European democracies, Germany, France, Italy, Spain, and the United Kingdom, have all seen increases in their top earners' shares of national income over this period. The United Kingdom, Italy, and Germany have in particular seen their shares increase sharply, while Spain and France have experienced a more gradual increase.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in German Township, Pennsylvania, 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 15,595, while the mean income for the highest quintile (20% of households with the highest income) is 162,634. This indicates that the top earners earn 10 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 200,073, which is 123.02% higher compared to the highest quintile, and 1282.93% 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 township median household income. You can refer the same here

Per Cent Top income shares series based upon WTID series; missing values interpolated using moving averages and top 5% and top 1% series (see formulas and "Details" sheet) copied from DetailsTS9.2 (links frozen on 2-25-2013)

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.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in German Valley, IL, 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 18,280, while the mean income for the highest quintile (20% of households with the highest income) is 155,386. This indicates that the top earners earn 9 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 225,495, which is 145.12% higher compared to the highest quintile, and 1233.56% 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 Valley median household income. You can refer the same here

Estimates of burden and QCI of orofacial clefts by World Bank income groups.

In Europe, the variation in average amounts of financial wealth per adult varied considerably as of 2022, from approximately ******* U.S. dollars in Switzerland to roughly ***** U.S. dollars in Azerbaijan. In Europe, the overall average financial wealth per adult as of 2022 was ****** U.S. dollars. In terms of private wealth, Europe held the second highest value in the world, after North America. What is financial wealth? Financial wealth, also known as financial assets or liquid assets can include wealth that an individual has in the forms of cash, stocks, bonds, mutual funds, and bank deposits. In addition to financial wealth, wealth can also be measured in other assets, called non-financial wealth. This includes physical assets, such as real estate, land, vehicles, jewelry, and art, just to name a few. Where do most wealthy individuals live? Individuals with a net worth over *********** U.S. dollars are called high-net worth individuals (HNWI). The United States was the home country to the highest number of HNWIs in 2021. China followed, although their number of HNWIs did not even reach ********* of the number in the United States. In Europe, Switzerland is the country with the highest average financial wealth per adult, but with its small population size, the number of HNWIs does not come near the numbers in the United Kingdom, Germany, France, and Italy – the European countries with the highest number of HNWIs. Considering Switzerland’s small population size, however, it is the country in the world with the highest proportion of millionaires.

The United States topped the list in 2018 for the country with the highest gap between CEO and worker pay. In that year, for every U.S. dollar an average worker received, the average CEO earned 265 U.S. dollars. India, the United Kingdom, South Africa, and the Netherlands rounded out the top five for countries with the highest CEO to worker pay.

The 99 percent

It is a well-known issue that wages for average workers in the United States have been stagnating. Average hourly earnings for American employees, which have been hovering just below 11 U.S. dollars, have not gone up by much over the past year. The federal minimum wage in the United States has been 2.13 U.S. dollars for tipped workers and 7.25 U.S. dollars for non-tipped workers since 2009 and would be much higher today if minimum wage was adjusted for inflation.

The one percent

The gap between normal workers and CEOs is particularly high in the U.S. The richest CEO in 2018 was Elon Musk, with an annual compensation of about 2.84 billion U.S. dollars. America is also home to the world’s richest man, Jeff Bezos, who is the head of Amazon.com.