In 2023, about 26.9 percent of Asian private households in the U.S. had an annual income of 200,000 U.S. dollars and more. Comparatively, around 13.9 percent of Black households had an annual income under 15,000 U.S. dollars.

A breakdown of annual household incomes in Japan showed that around ***** percent of households earned less than *** million Japanese yen per year as of 2024. That year, the average annual household income of Japanese households was approximately *** million yen compared to a median household income of *** million yen.

This table presents income shares, thresholds, tax shares, and total counts of individual Canadian tax filers, with a focus on high income individuals (95% income threshold, 99% threshold, etc.). Income thresholds are based on national threshold values, regardless of selected geography; for example, the number of Nova Scotians in the top 1% will be calculated as the number of taxfiling Nova Scotians whose total income exceeded the 99% national income threshold. Different definitions of income are available in the table namely market, total, and after-tax income, both with and without capital gains.

Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas, annual.

In 2024, there were ******* German households with a household net income of under 500 euros per month. ***** households had a monthly income of 5,000 euros and more. Disposable net income While at first glance the aforementioned monthly income may seem manageable, based on general German standards of living, it is worth noting that flexibility and expenditure depends on the number of people living in a household, or rather the number of earners in relation to that number. In the case of employed population members, what remains as disposable net income is influenced by various regular payments made by households after the already taxed salary arrives. These payments include, but are not limited to, rent, different types of insurance, repaying loans, fees for internet and mobile phone services. Food and housing When looking at private household spending in Germany, consistent patterns emerge. Housing, water, electricity, gas and other fuel made up the largest share and will increase even further in the coming months, followed by food, beverages, and tobacco.

The poorest five percent of the population in Brazil received a monthly income of merely *** reals in 2024, with their jobs as their only source of income. By contrast, the average income of workers who fall within the 40 percent to 50 percent percentile, and from 50 percent to 60 percent are **** and **** Brazilian reals, respectively.

Low income cut-offs (LICOs) before and after tax by community size and family size, in current dollars, annual.

Physical Graphing Calculators Sales Market Outlook

The global physical graphing calculators sales market size was valued at approximately $900 million in 2023 and is expected to reach around $1.3 billion by 2032, growing at a CAGR of 4.1% over the forecast period. The increasing emphasis on STEM (Science, Technology, Engineering, and Mathematics) education and the indispensability of graphing calculators in various professional fields are key growth factors driving the market.

The growing focus on STEM education across the globe is a significant growth factor for the physical graphing calculators market. Governments and educational institutions are investing heavily in STEM education to help students develop essential skills in mathematics and science. Graphing calculators are often required for coursework in subjects like algebra, calculus, and statistics, making them a staple in both high school and college classrooms. The emphasis on STEM education is expected to grow, thereby driving the demand for physical graphing calculators.

Technological advancements in graphing calculators are also contributing to market growth. Modern graphing calculators are equipped with advanced features such as color displays, touchscreens, and the ability to connect to other devices via Bluetooth or USB. These features make the calculators more versatile and user-friendly, enhancing their appeal to both students and professionals. Additionally, the integration of software that allows for the visualization of complex mathematical functions and data analysis further adds to their utility, thereby boosting sales.

Another significant growth driver is the increasing requirement for graphing calculators in standardized testing. Many standardized tests, such as the SAT, ACT, and various state-specific exams, permit or even require the use of graphing calculators. This trend is not limited to the United States but extends to other regions as well. The requirement for these devices in exams ensures a steady demand from students who need to be adequately equipped to perform well in these tests.

Regionally, North America and Asia Pacific are expected to be key markets for physical graphing calculators. North America, led by the United States, has a well-established education system that mandates the use of graphing calculators in high schools and colleges. In Asia Pacific, countries like China and India are focusing on improving their education systems, including the implementation of advanced learning tools like graphing calculators. The growing middle-class population and increasing disposable income in these regions are also contributing to the market's growth.

Product Type Analysis

The physical graphing calculators market is segmented into three main product types: Scientific Graphing Calculators, Programmable Graphing Calculators, and Financial Graphing Calculators. Each of these segments caters to different needs and applications, which are driving their respective demands.

Scientific graphing calculators are predominantly used in educational settings, particularly in subjects like mathematics and physics. These calculators offer functionalities that are essential for solving complex equations, plotting graphs, and performing algebraic manipulations. The demand for scientific graphing calculators is driven by their widespread use in high schools and universities. As educational curriculums continue to evolve to include more complex mathematical concepts, the need for these calculators will likely increase, sustaining the demand in this segment.

Programmable graphing calculators are another important segment, primarily used in engineering and advanced scientific applications. These calculators allow users to write custom programs and algorithms, making them highly versatile and useful for solving specialized problems. The growing emphasis on computer science and programming in education and professional fields is boosting the demand for programmable graphing calculators. Additionally, their application in engineering tasks such as circuit design and structural analysis makes them indispensable tools for professionals in these fields.

Financial graphing calculators cater to the needs of finance professionals and students. These calculators are equipped with functionalities that are essential for financial planning, investment analysis, and accounting. The increasing complexity of financial markets and the need for accurate financial analysis are driving the demand for financial graphing calculators. F

The graphing calculator market, while facing some headwinds, is poised for steady growth over the next decade. Driven by the continued importance of STEM education globally and the increasing complexity of mathematical and scientific curricula, demand for graphing calculators remains robust, particularly in schools and universities. The market is segmented by application (school, laboratory, companies) and type (color display, black and white), with color display calculators commanding a premium price point and capturing a larger share of the market due to their enhanced functionality and user-friendliness. While the rise of sophisticated smartphone apps and tablets offering similar functionalities presents a challenge, the dedicated features and reliability of standalone graphing calculators— particularly in exam settings where electronic devices are often restricted — continue to sustain market demand. The market's growth is further supported by the consistent advancements in calculator technology, with manufacturers like Texas Instruments, Casio, HP, and others continually improving features like processing power, memory, and connectivity. However, factors such as the increasing affordability of tablets and smartphones with advanced calculator capabilities act as a restraint on market expansion. The regional distribution of the graphing calculator market reflects global educational trends. North America and Europe currently hold significant market shares, owing to well-established educational systems and a strong focus on STEM education. However, Asia Pacific, particularly China and India, are expected to experience significant growth in the coming years due to their expanding educational infrastructure and a burgeoning middle class with increased disposable income. This growth will likely be fueled by government initiatives promoting STEM education and increased investment in educational technology. Competition among established manufacturers is intense, with a focus on innovation in functionalities and value-added features to maintain market share. Strategies involving partnerships with educational institutions and developing specialized software are likely to prove effective in the longer term. A conservative estimate suggests the market will see a Compound Annual Growth Rate (CAGR) of approximately 5% from 2025 to 2033, leading to substantial market expansion.

In Mexico, as of 2022, the bottom 50 percent, which represents the population whose income lied below the median, earned on average 2,076 euros at purchasing power parity (PPP) before income taxes. Meanwhile, the top ten percent had an average earning of 111,484 euros, 53 times over than the average earning of the bottom half. Further, the bottom 50 percent accounted for -0.3 percent of the overall national wealth in Mexico, that is, they have on average more debts than assets.

The average pre-tax income of the top ten percent earners in Spain was over 95,500 euros at purchasing power parity (PPP) as of 2022, almost nine times more than the average income of the bottom half earners. Looking at the distribution of national income in Spain, the earnings of the least affluent half of the population equated to 21 percent of the total country income in 2022, 0.1 percentage points less than one decade earlier. Moreover, the top one percent of earners in Spain accounted for over ten percent of the overall national income.

A dataset listing the richest zip codes in New York per the most current US Census data, including information on rank and average income.

This data selection represents a thematic extract from the comprehensive study “The Growth of the German Economy since the mid-19th Century“ (“Das Wachstum der deutschen Wirtschaft seit der Mitte des 19. Jahrhunderts”) from 1965 by Walter G. Hoffmann. The main objective of Hoffmann’s study is to work out statistical figures concerning the long-term development of the German national economy, as well as the individual fields of this subject area. In doing so, the time series shall enable the verification of various hypotheses concerning economic growth. This aim, however, can only be reached if such time series are based on comparable statistical, methodical, and content-related concepts, and if they are collected for a period with maximum length. Consequently, this data selection comprises more than 800 pages with 250 tables, featuring almost every time series between 1850 and 1960 that can be considered relevant for the economic development. Whenever necessary, these materials were completed by estimates. Moreover, the above-named analyses of long-term tendencies aim at creating a reference system for the numerous short-term changes occuring within most national economies in the course of a century. Here the special focus of Hoffman’s work lies on the visualisation of the gained materials as regards the raise, distribution, and use of the national income. The respective calculation is based on the two production factors of labour and capital and culminates in an overview of production. The calculation of the distribution, on the other hand, deals with the functional and individual, i.e. personal distribution of (earned and capital) income. In its turn, the calculation of use is divided into the sectors of private and public consumption, investment, and the national trade balance.

Topics

Timeseries data available via the downloadsystem HISTAT

Data excerpt: earned income and capital income (income compilation, the following factors have been taken into consideration):

• average yearly earned income in mining and salt-mines (1850-1959).
• average yearly earned income in industry and handicraft (1850-1959).
• average yearly earned income in traffic system without German Federal Railways, German Federal Mail, and shipping (1950-1959).
• average yearly earned income in traffic system (1850-1959).
• average yearly earned income in trade, banks, insurances, and hotel and catering industry (1925-1939).
• average yearly earned income in trade, banks, insurances, and hotel and catering industry (1950-1960).
• average yearly earned income of employed in the public service (1851-1913).
• average yearly earned income in the public service (1925-1950).
• average yearly earned income in other services (1850-1959).
• average yearly earned income by economic sectores (1850-1959).
• earned income by economic sectores (1850-1959).
• rate of return of the industrial sector´s stock corporations (1926-1959).
• distribution of net social product in factor costs in current prices (1850 – 1959).

In March 2025, the top one percent of earners in the United Kingdom received an average pay of over 16,000 British pounds per month, compared with the bottom ten percent of earners who earned around 800 pounds a month.

A dataset of car tax calculations for company cars by operating cycle, manufacturer, model, and derivative.

The bottom 50 percent in Argentina earned on average 15,057 U.S. dollars at purchasing power parity (PPP) before income taxes as of 2022, while individuals in the top one percent earned pre-tax more than 686,433 dollars. Looking at the percentage distribution of wealth in Argentina, the poorest half held 5.7 percent of the total in 2021. Moreover, the top one percent in the South American country accounted for 25.7 percent of the overall national wealth.

This data selection represents a thematic extract from the comprehensive study “The Growth of the German Economy since the mid-19th Century“ (“Das Wachstum der deutschen Wirtschaft seit der Mitte des 19. Jahrhunderts”) from 1965 by Walter G. Hoffmann. The main objective of Hoffmann’s study is to work out statistical figures concerning the long-term development of the German national economy, as well as the individual fields of this subject area. In doing so, the time series shall enable the verification of various hypotheses concerning economic growth. This aim, however, can only be reached if such time series are based on comparable statistical, methodical, and content-related concepts, and if they are collected for a period with maximum length. Consequently, this data selection comprises more than 800 pages with 250 tables, featuring almost every time series between 1850 and 1960 that can be considered relevant for the economic development. Whenever necessary, these materials were completed by estimates. Moreover, the above-named analyses of long-term tendencies aim at creating a reference system for the numerous short-term changes occuring within most national economies in the course of a century. Here the special focus of Hoffman’s work lies on the visualisation of the gained materials as regards the raise, distribution, and use of the national income. The respective calculation is based on the two production factors of labour and capital and culminates in an overview of production. The calculation of the distribution, on the other hand, deals with the functional and individual, i.e. personal distribution of (earned and capital) income. In its turn, the calculation of use is divided into the sectors of private and public consumption, investment, and the national trade balance.

Topics

Timeseries data available via the downloadsystem HISTAT

Data excerpt: Producktion, added value by economic sectors, net national product at market prices and net national product at factor costs (from calculation of raised income and/or output compilation, the following factors have been taken into consideration):

• die Produktion nach Wirtschaftsbereichen, aus der Aufbringungsrechnung (1850-1959);
• die Wertschöpfung nach Wirtschaftsbereichen in Preisen von 1913, das Nettoinlandsprodukt zu Faktorkosten, aus der Aufbringungsrechnung (1850-1959);
• das Nettosozialprodukts zu Faktorkosten in laufenden Preisen, aus der Verteilungsrechnung (1850-1959);
• das Nettosozialprodukt zu Marktpreisen in laufenden Preisen, aus der Verwendungsrechnung (1850-1959);
• die Verwendung des Nettosozialprodukts zu Marktpreisen in Preisen von 1913, aus der Verwendungsrechnung (1850-1959).

This data set is for antibiotic footprint individual calculator (www.antibioticfootprint.net/calculator) This data set is mainly to explain how we estimate individual ‘Antibiotic Footprint’ (gram per person per year)?

To estimate individual antibiotic footprint “from taking antibiotics”, we use the number of days from an answer to the question “On how many days did you take oral antibiotics in the past 12 months”. We estimate the total grams of oral antibiotics that you directly consumed in the past 12 months by multiplying “the number of days you took oral antibiotics in the past 12 months” by “the amount of grams of antibiotics that a person in your country normally would consume per day when taking a course of antibiotics”. The latter parameter was estimated from official and open-access data published by your country (references are available at www.antibioticfootprint.net) and are available as a variable human_g_p_day here

To estimate individual antibiotic footprint “from eating meat”, we use the kilograms of meat that a person consumed in the past 12 months from the answers in the quiz. We estimate the total grams of antibiotics used to produce meat for your consumption in the past 12 months by multiplying “the kilograms” by “the milligrams of antibiotics used per kilogram Population Correction Unit (PCU) of animal meat (i.e. mg/PCU)”. The latter parameter was obtained from official and open-access data published by your country (references are available at www.antibioticfootprint.net) and are available as a variable mg_p_PCU here.

For countries without official and open-access data, we assume that parameters of those countries are equal to the average of those parameters from countries with official and open-access data and within similar regions and closest income levels. For South Asia, we used data from countries with similar income levels of East Asia & Pacific, because all countries in South Asia do not have official and open-access data to estimate this parameter.

This data selection represents a thematic extract from the comprehensive study “The Growth of the German Economy since the mid-19th Century“ (“Das Wachstum der deutschen Wirtschaft seit der Mitte des 19. Jahrhunderts”) from 1965 by Walter G. Hoffmann.

The main objective of Hoffmann’s study is to work out statistical figures concerning the long-term development of the German national economy, as well as the individual fields of this subject area. In doing so, the time series shall enable the verification of various hypotheses concerning economic growth.

This aim, however, can only be reached if such time series are based on comparable statistical, methodical, and content-related concepts, and if they are collected for a period with maximum length. Consequently, this data selection comprises more than 800 pages with 250 tables, featuring almost every time series between 1850 and 1960 that can be considered relevant for the economic development. Whenever necessary, these materials were completed by estimates. Moreover, the above-named analyses of long-term tendencies aim at creating a reference system for the numerous short-term changes occuring within most national economies in the course of a century.

The special focus of Hoffman’s work lies on the visualisation of the gained materials as regards the raise, distribution, and use of the national income. The respective calculation is based on the two production factors of labour and capital and culminates in an overview of production. The calculation of the distribution, on the other hand, deals with the functional and individual, i.e. personal distribution of (earned and capital) income. In its turn, the calculation of use is divided into the sectors of private and public consumption, investment, and the national trade balance.

Topics

Timeseries Data available via the downloadsystem HISTAT

Date excerpt: The Production of Industry and Handcraft (from the calculation of the raised income, ´Aufbringungsrechnung´).

The following indices (1913 = 100) have been taken into consideration:

• Procuction of Nonmetallic Mineral Processing Industry (´Steine und Erden´);
• Metal Production;
• Production of metalworking industry;
• Production of chemicla industry;
• Production of textile industry;
• Production of leatherworking and clothing industry;
• Production of food and luxury foodstuff industry;
• Production of electric power stations and gasworks;
• Total production of industry and handcraft.