In 1979, the median usual weekly earnings of a full-time employee amounted to *** current U.S. dollars. In 2023, this number had risen to ***** current U.S. dollars. The term current U.S. dollars describes the value of the currency in that particular year. Wages adjusted for inflation can be found here.

Wages in Manufacturing in China increased to 103932 CNY/Year in 2023 from 97528 CNY/Year in 2022. This dataset provides - China Average Yearly Wages in Manufacturing - actual values, historical data, forecast, chart, statistics, economic calendar and news.

In 2023, the median hourly earnings of wage and salary workers in the United States was 19.24 U.S. dollars. This is an increase from 1979, when median hourly earnings were at 4.44 U.S. dollars. Hourly Workers The United States national minimum wage is 7.25 U.S. dollars per hour, which has been the minimum wage since 2009. However, each state has the agency to set their state minimum wage. Furthermore, some cities are able to create their minimum wage. Many argue that the minimum wage is too low and should be raised, because it is not considered a living wage. There has been a movement to raise the minimum wage to 15 U.S. dollars per hour, called “Fight for 15” which began in the early 2010s. While there has been no movement at the federal level, some states have moved to increase their minimum wages, with at least three states and the District of Columbia setting minimum wage rates at or above 15 dollars per hour. More recently, some proponents of increasing the minimum wage say that 15 dollars is too low, and lawmakers should strive toward a higher goal, especially given that a 2021 analysis found that the minimum wage in the U.S. should be 22.88 U.S. dollars if it grew at the same rate as economic productivity. Salary Workers On the other hand, salary workers in the United States do not get paid on an hourly basis. The median weekly earnings of salary workers have significantly increased since 1979. Asian salary workers had the highest hourly earnings in the U.S. in 2021. Among female salary workers, those ages 45 to 54 years old had the highest median hourly earnings in 2021, likewise for male salary workers.

Graph and download economic data for Real Median Personal Income in the United States (MEPAINUSA672N) from 1974 to 2024 about personal income, personal, median, income, real, and USA.

The data set recorded the statistical data of the average salary and index of employed non-private sector employees in Qinghai Province in major years from 1978 to 2020, divided by year and regions such as Xining city, Haidong Prefecture, Haibei Prefecture, Huangnan Prefecture, Hainan Prefecture, Goluo Prefecture, Yushu Prefecture and Haixi Prefecture. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 17 data tables, which are: Average wages and indices of major years 1978-2004 XLS, 1978-2005 XLS, 1978-2006 XLS, 1978-2007 Average Wages and Indices of Employed Staff in non-private Sector of major years 1978-2011 XLS, main years 1978-2009 XLS, main years 1978-2010 XLS, Main years 1978-2011 Main years Average Wage and Index of Employed Staff and Workers in Non-private Sector, 1981-2012, main years Average Wage and Index of Employed Staff and workers in Non-private Sector, 1981-2013. XLS, main years Average wage and index of Employed Staff and workers in Non-private Sector, 1981-2014. Average Wage and index of Employed Staff and Workers in non-private Sector in major years 1981-2015 XLS, Average Wage and Index of Employed Staff and workers in Non-private Sector in major years 1981-2016 XLS, average Wage and Index of Employed Staff and workers in Non-private Sector in major years 1981-2017 XLS, Average Wage and Index of Employed Staff and Workers in Non-private Units in Main years 1981-2018. XLS, Average wage of Employed Staff in Non-private Units by Industry and Region in Qinghai Province (2019). XLS, Average wage of Employed Staff in Non-private Units by Industry and Region in Qinghai Province (2020). For example, the 2018 table has 4 fields: Field 1: Year Field 2: region Field 3: Average salary Field 4: Index

Wages in Spain increased 2.67 percent in June of 2025 over the same month in the previous year. This dataset provides - Spain Wage Growth- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Sri Lanka Nominal Wage Rate Index: 1978=100: Services data was reported at 2,313.180 Dec1978=100 in Aug 2018. This stayed constant from the previous number of 2,313.180 Dec1978=100 for Jul 2018. Sri Lanka Nominal Wage Rate Index: 1978=100: Services data is updated monthly, averaging 678.000 Dec1978=100 from Dec 1983 (Median) to Aug 2018, with 417 observations. The data reached an all-time high of 2,313.180 Dec1978=100 in Aug 2018 and a record low of 179.500 Dec1978=100 in Dec 1983. Sri Lanka Nominal Wage Rate Index: 1978=100: Services data remains active status in CEIC and is reported by Department of Labour. The data is categorized under Global Database’s Sri Lanka – Table LK.G027: Nominal and Real Wage Rate Index.

This data set records the statistical data of average wages of employees in different industries and regions of Qinghai Province from 1978 to 2010. The data are divided by project, total of the whole province, Xining, Haidong, Haibei, Huangnan, Hainan, Yushu, Guoluo and Haixi. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains 10 tables, which are: average wages of employees by industry and region (2006). XLS, average wages of employees by industry and region (2007). XLS, average wages of employees by industry and region (2008). XLS, average wages of employees by industry and region (2009). Xls, average wages of employees by industry and region (2010). XLS, average wages of employees by industry and region (2003). XLS The average wages of employees in different industries were 1978-2001.xls, 1978-2002.xls, 2004.xls and 2006.xls. The data table structure is the same. For example, the data table in 2009 has 10 fields: Field 1: Project Field 2: province total Field 3: Xining City Field 4: Haidong region Field 5: Haibei Prefecture Field 6: huangnanzhou Field 7: Hainan Field 8: Golog Field 9: Yushu prefecture Field 10: Haixi

The Data-compilation is a selection of time-series on wage- and salary development as well as on the development of the national income in Germany from 1850 to 1985. The following studies has been included: - Walther G. Hoffmann (1965): Das Wachstum der deutschen Wirtschaft seit der Mitte des 19. Jahrhunderts.- Rüdiger Hohls (1991): Arbeit und Verdienst. Entwicklung und Struktur der Arbeitseinkommen im Deutschen Reich und in der Bundesrepublik.- Pierenkemper, Toni (1987): Arbeitsmarkt und Angestellte im deutschen Kaiserreich 1880-1913. Interessen und Strategien als Elemente der Integration eines segmentierten Arbeitsmarktes.- Wiegand, Erich/Zapf, Wolfgang (1982): Wandel der Lebensbedingungen in Deutschland. Wohlfahrtsentwicklung seit der Industrialisierung. Tables in ZA-Online-Database HISTAT: A. Hoffmann, Walther G.: The Growth of the German Economy since the mid of the 19th centuryA.1 The average earned income per annum by industrial sector (1850-1959)A.2 The average earned income per annum in mining and saline (1850-1959)A.3 The average earned income per annum in industry and craft (1850-1959)A.4 The average earned income per annum in transport (1850-1959)A.5 The average earned income per annum in other services (1850-1959)A.6 Net national product (NNP) in factor costs in current prices and national income per capita according to Hoffmann (1850-1959)A.7 Gross value added and real national income per capita in prices of 1913 according to Hoffmann (1850-1959)A.8 The development of average earned income of employees in industry and craft, Index 1913 = 100 (1850-1959) B. Hohls, Rüdiger: The Sectoral Structure of Earnings in GermanyB.1 Nominal annual earnings of employees by industrial sector in Germany in Mark, 1885-1985B.2 Nominal earnings of white collar workers and blue collar workers in Germany, 1890-1940 C. Living costs, prices and earnings, consumer price indexC.1 Development of living costs (index) of medium employees’ households (1924-1978)C.2 Preices and earnings, index 1962 = 100 (1820-2001)C.3 Living costs, consumer price index (1820-2001) D. Pierenkemper, Toni: Employment market and employees in the German ‘Reich’ 1880-1913.D.1 Income of selected white collar categories in Mark (1880-1913)D.2 Real income of selected white collar categories (1880-1913) E. Wiegand, E.: Historical Development of Wages and Living Costs in Germany.E.1 Development of real gross income of blue collar workers in industry, index 1970 = 100 (1925-1978)E.2 Development of real gross income of blue collar workers in industry (1925-1978)E.3 Development of nominal and real national income per capita (1950-1978) E.4 Development of nominal and real national income per capita (1925-1939)E.5 National income: monthly income from dependent personal services per employee (1925-1971)E.6 Overlook: Development of wages, employed workers and gross income from dependent personal services in Germany (1810-1989)

Graph and download economic data for Median Household Income in California (MEHOINUSCAA646N) from 1984 to 2024 about CA, households, median, income, and USA.

United Kingdom Average Annual Household Income (AAHI): Gross data was reported at 68,866.000 GBP in 2024. This records a decrease from the previous number of 69,744.000 GBP for 2023. United Kingdom Average Annual Household Income (AAHI): Gross data is updated yearly, averaging 54,877.000 GBP from Dec 1978 (Median) to 2024, with 47 observations. The data reached an all-time high of 74,307.000 GBP in 2008 and a record low of 32,097.000 GBP in 1978. United Kingdom Average Annual Household Income (AAHI): Gross data remains active status in CEIC and is reported by Office for National Statistics. The data is categorized under Global Database’s United Kingdom – Table UK.H080: Average Annual Household Income.

Graph and download economic data for Median Household Income in Oklahoma (MEHOINUSOKA646N) from 1984 to 2024 about OK, households, median, income, and USA.

Disposable Personal Income in China increased to 54188 CNY in 2024 from 51821 CNY in 2023. This dataset provides - China Disposable Income per Capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.

China Average Wage: Urban Non-private: On Duty: Construction data was reported at 88,212.000 RMB in 2023. This records an increase from the previous number of 80,242.000 RMB for 2022. China Average Wage: Urban Non-private: On Duty: Construction data is updated yearly, averaging 13,554.000 RMB from Dec 1978 (Median) to 2023, with 38 observations. The data reached an all-time high of 88,212.000 RMB in 2023 and a record low of 714.000 RMB in 1978. China Average Wage: Urban Non-private: On Duty: Construction data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Labour Market – Table CN.GC: Average Wage: On Duty.

Graph and download economic data for Consumer Price Index for All Urban Wage Earners and Clerical Workers: Hospital and Related Services in U.S. City Average (CWSR0000SEMD) from Jan 1978 to Aug 2025 about clerical workers, hospitals, urban, wages, CPI, services, inflation, price index, indexes, price, and USA.

Average Wage: On Duty: Beijing data was reported at 224,562.000 RMB in 2023. This records an increase from the previous number of 215,143.000 RMB for 2022. Average Wage: On Duty: Beijing data is updated yearly, averaging 17,440.500 RMB from Dec 1978 (Median) to 2023, with 46 observations. The data reached an all-time high of 224,562.000 RMB in 2023 and a record low of 673.000 RMB in 1978. Average Wage: On Duty: Beijing data remains active status in CEIC and is reported by Beijing Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Labour Market – Table CN.GG: Average Wage: On Duty: Prefecture Level City.

China Real Wage Index: Urban Non-private data was reported at 2,593.000 1978=100 in 2023. This records an increase from the previous number of 2,457.100 1978=100 for 2022. China Real Wage Index: Urban Non-private data is updated yearly, averaging 370.000 1978=100 from Dec 1979 (Median) to 2023, with 45 observations. The data reached an all-time high of 2,593.000 1978=100 in 2023 and a record low of 106.600 1978=100 in 1979. China Real Wage Index: Urban Non-private data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Labour Market – Table CN.GC: Real Wage Index.

This data set records the statistical data of the average wages of employees in urban collective units of Qinghai Province from 1978 to 2006, which are divided by industry, region and purpose. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains four data tables, which are: the average wages of employees in different industries of urban collective units (2003). XLS, the average wages of employees in different industries of urban collective units from 1978 to 2001. XLS, the average wages of employees in different industries of urban collective units from 1978 to 2002. XLS, the average wages of employees in different industries of urban collective units from 2004. XLS, and the average wages of employees in different industries of urban collective units from 2006. XLS ls。 The data table structure is the same. For example, the data table in 2006 has four fields: Field 1: year Field 2: Industry Field 3: Region Field 4: amount

In 1978, the Provisional IRA was the largest paramilitary organization during the Troubles in Northern Ireland, and some sources estimated the organization had an annual income of roughly one million British pounds. The IRA raised funds through a variety of illegal methods, with theft believed to have been responsible for more than half the money raised in 1978. A different, more recent source estimates that, in the 1970s, the IRA had an average annual income well over two million pounds, with money raised through bars and clubs (through skimming, illegal slot machines, or the sale of stolen alcohol and cigarettes) bringing in over one million pounds per year.

The Data-compilation is a selection of time-series on wage- and salary development as well as on the development of the national income in Germany from 1850 to 1985. The following studies has been included:

• Walther G. Hoffmann (1965): Das Wachstum der deutschen Wirtschaft seit der Mitte des 19. Jahrhunderts.
• Rüdiger Hohls (1991): Arbeit und Verdienst. Entwicklung und Struktur der Arbeitseinkommen im Deutschen Reich und in der Bundesrepublik.
• Pierenkemper, Toni (1987): Arbeitsmarkt und Angestellte im deutschen Kaiserreich 1880-1913. Interessen und Strategien als Elemente der Integration eines segmentierten Arbeitsmarktes.
• Wiegand, Erich/Zapf, Wolfgang (1982): Wandel der Lebensbedingungen in Deutschland. Wohlfahrtsentwicklung seit der Industrialisierung.

Tables in ZA-Online-Database HISTAT:

A. Hoffmann, Walther G.: The Growth of the German Economy since the mid of the 19th century A.1 The average earned income per annum by industrial sector (1850-1959) A.2 The average earned income per annum in mining and saline (1850-1959) A.3 The average earned income per annum in industry and craft (1850-1959) A.4 The average earned income per annum in transport (1850-1959) A.5 The average earned income per annum in other services (1850-1959) A.6 Net national product (NNP) in factor costs in current prices and national income per capita according to Hoffmann (1850-1959) A.7 Gross value added and real national income per capita in prices of 1913 according to Hoffmann (1850-1959) A.8 The development of average earned income of employees in industry and craft, Index 1913 = 100 (1850-1959)

B. Hohls, Rüdiger: The Sectoral Structure of Earnings in Germany B.1 Nominal annual earnings of employees by industrial sector in Germany in Mark, 1885-1985 B.2 Nominal earnings of white collar workers and blue collar workers in Germany, 1890-1940

C. Living costs, prices and earnings, consumer price index C.1 Development of living costs (index) of medium employees’ households (1924-1978) C.2 Preices and earnings, index 1962 = 100 (1820-2001) C.3 Living costs, consumer price index (1820-2001)

D. Pierenkemper, Toni: Employment market and employees in the German ‘Reich’ 1880-1913. D.1 Income of selected white collar categories in Mark (1880-1913) D.2 Real income of selected white collar categories (1880-1913)

E. Wiegand, E.: Historical Development of Wages and Living Costs in Germany. E.1 Development of real gross income of blue collar workers in industry, index 1970 = 100 (1925-1978) E.2 Development of real gross income of blue collar workers in industry (1925-1978) E.3 Development of nominal and real national income per capita (1950-1978) E.4 Development of nominal and real national income per capita (1925-1939) E.5 National income: monthly income from dependent personal services per employee (1925-1971) E.6 Overlook: Development of wages, employed workers and gross income from dependent personal services in Germany (1810-1989)