Key information about Japan Monthly Earnings

• Japan Monthly Earnings stood at 1,888 USD in Jan 2025, compared with the previous figure of 4,014 USD in Dec 2024
• Japan Monthly Earnings data is updated monthly, available from Jan 1971 to Jan 2025, with an average number of 2,419 USD
• The data reached the an all-time high of 7,322 USD in Dec 1994 and a record low of 164 USD in Feb 1971

CEIC converts Monthly Earnings into USD. The Ministry of Health, Labour and Welfare provides Average Monthly Earnings in local currency. Federal Reserve Bank average market exchange rate is used for currency conversions. Monthly Earnings include Establishments with 5 or more employees. Monthly Earnings prior to January 2012 are based on Conventional Published Value.


Further information about Japan Monthly Earnings

• In the latest reports, Japan Population reached 124 million people in Dec 2024
• Unemployment Rate of Japan remained the same at 3 % in Jan 2025
• The country's Labour Force Participation Rate dropped to 63 % in Jan 2025

Graph and download economic data for Median Family Income in the United States (MEFAINUSA646N) from 1953 to 2023 about family, median, income, and USA.

South Korea's Occupational Wage Survey (OWS) is an annual business establishment survey conducted since 1970 by South Korea's Ministry of Labor. The dataset contains detailed information on individual workers' earnings, hours worked, educational attainment, actual labor market experience, occupation, industry, and region. The surveyed establishments must employ at least ten workers and were selected by a stratified random sampling method. Because they exclude workers in small enterprises, the self-employed, family workers, temporary workers, and public sector workers, the surveys represent approximately one-half of South Korea's total nonagricultural labor force. The samples for each year are randomly drawn from the original surveys. The surveys cover all industries up through 1986. After 1986, agriculture, forestry, hunting, and fishing are excluded. This change in sampling procedure does not appear to cause a significant change in the types of nonfarm enterprises covered by the survey.

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)

United States US: GDP: Growth: Adjusted Net National Income per Capita data was reported at 0.235 % in 2016. This records a decrease from the previous number of 3.088 % for 2015. United States US: GDP: Growth: Adjusted Net National Income per Capita data is updated yearly, averaging 2.406 % from Dec 1971 (Median) to 2016, with 46 observations. The data reached an all-time high of 7.229 % in 1984 and a record low of -5.162 % in 1974. United States US: GDP: Growth: Adjusted Net National Income per Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Gross Domestic Product: Annual Growth Rate. Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion.; ; World Bank staff estimates based on sources and methods in World Bank's 'The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium' (2011).; Weighted average;

This statistic shows the U.S. unemployment rate from 1971 to 2015, by income tier. In 2015, about 4 percent of U.S. adult residents that were part of the middle class, were unemployed.

This study defined middle class income households as those with an income between 67 and 200 percent of the U.S. median household income, after adjustment for household size. Middle class income ranges from about 42,000 U.S. dollars to about 126,000 U.S. dollars per year for a three-person household.

Number of Persons: Annual Salary: 2 to 3 Million data was reported at 7,811,638.000 Person in 2017. This records a decrease from the previous number of 7,960,892.000 Person for 2016. Number of Persons: Annual Salary: 2 to 3 Million data is updated yearly, averaging 7,681,130.000 Person from Dec 1971 (Median) to 2017, with 47 observations. The data reached an all-time high of 9,502,134.000 Person in 1978 and a record low of 1,382,000.000 Person in 1971. Number of Persons: Annual Salary: 2 to 3 Million data remains active status in CEIC and is reported by National Tax Agency. The data is categorized under Global Database’s Japan – Table JP.G103: Number of Private Sector Employees: Annual Salary.

Iran IR: GDP: USD: Adjusted Net National Income per Capita data was reported at 3,966.682 USD in 2017. This records an increase from the previous number of 3,775.739 USD for 2016. Iran IR: GDP: USD: Adjusted Net National Income per Capita data is updated yearly, averaging 1,834.442 USD from Mar 1971 (Median) to 2017, with 45 observations. The data reached an all-time high of 6,236.744 USD in 2012 and a record low of 327.227 USD in 1971. Iran IR: GDP: USD: Adjusted Net National Income per Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Iran – Table IR.World Bank: Gross Domestic Product: Nominal. Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion.; ; World Bank staff estimates based on sources and methods in World Bank's 'The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium' (2011).; Weighted Average;

United States Avg Weekly Earnings: sa: PW: 1982-84p: Construction data was reported at 448.960 USD in Jun 2018. This records a decrease from the previous number of 453.270 USD for May 2018. United States Avg Weekly Earnings: sa: PW: 1982-84p: Construction data is updated monthly, averaging 412.100 USD from Jan 1964 (Median) to Jun 2018, with 654 observations. The data reached an all-time high of 499.130 USD in Nov 1971 and a record low of 352.250 USD in Jan 1964. United States Avg Weekly Earnings: sa: PW: 1982-84p: Construction data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G034: Current Employment Statistics Survey: Average Weekly and Hourly Earnings: Production Workers.

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Spirit Lake. The dataset can be utilized to gain insights into gender-based income distribution within the Spirit Lake population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Spirit Lake, among individuals aged 15 years and older with income, there were 1,971 men and 2,188 women in the workforce. Among them, 974 men were engaged in full-time, year-round employment, while 790 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 6.26% fell within the income range of under $24,999, while 28.23% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 12.73% of men in full-time roles earned incomes exceeding $100,000, while 2.41% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

https://i.neilsberg.com/ch/spirit-lake-ia-income-distribution-by-gender-and-employment-type.jpeg" alt="Spirit Lake, IA gender and employment-based income distribution analysis (Ages 15+)">

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:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 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 $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

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.

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 Spirit Lake median household income by gender. You can refer the same here

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Center township. The dataset can be utilized to gain insights into gender-based income distribution within the Center township population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Center township, among individuals aged 15 years and older with income, there were 1,971 men and 1,628 women in the workforce. Among them, 696 men were engaged in full-time, year-round employment, while 713 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 4.45% fell within the income range of under $24,999, while 10.52% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 10.63% of men in full-time roles earned incomes exceeding $100,000, while 1.96% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

https://i.neilsberg.com/ch/center-township-indiana-county-pa-income-distribution-by-gender-and-employment-type.jpeg" alt="Center township, Indiana County, Pennsylvania gender and employment-based income distribution analysis (Ages 15+)">

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:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 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 $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

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.

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 Center township median household income by gender. You can refer the same here

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Arkansas City. The dataset can be utilized to gain insights into gender-based income distribution within the Arkansas City population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Arkansas City, among individuals aged 15 years and older with income, there were 4,201 men and 4,151 women in the workforce. Among them, 1,898 men were engaged in full-time, year-round employment, while 1,971 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 10.96% fell within the income range of under $24,999, while 19.84% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 14.23% of men in full-time roles earned incomes exceeding $100,000, while 4.77% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

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:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 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 $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

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.

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 Arkansas City median household income by race. You can refer the same here

Canada CA: Proportion of People Living Below 50 Percent Of Median Income: % data was reported at 12.200 % in 2018. This records a decrease from the previous number of 13.200 % for 2017. Canada CA: Proportion of People Living Below 50 Percent Of Median Income: % data is updated yearly, averaging 13.200 % from Dec 1971 (Median) to 2018, with 29 observations. The data reached an all-time high of 16.200 % in 1971 and a record low of 11.200 % in 1991. Canada CA: 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 Canada – Table CA.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).

When adjusted for inflation, the 2024 federal minimum wage in the United States is over 40 percent lower than the minimum wage in 1970. Although the real dollar minimum wage in 1970 was only 1.60 U.S. dollars, when expressed in nominal 2024 dollars this increases to 13.05 U.S. dollars. This is a significant difference from the federal minimum wage in 2024 of 7.25 U.S. dollars.

Graph and download economic data for Hourly Earnings: Earnings: Economic Activity: Manufacturing: Total Economy for Denmark (DNKHOUREAAISMEI) from 1971 to 2024 about Denmark, earnings, hours, and manufacturing.

Construction union wage rates (CUWR) by National Occupational Classification (NOC). Monthly data are available from January 1971. The table presents data for the most recent reference period and the last four periods. The base period for the index is (2007=100).

Canada Construction Union Wage Rate Index: Annual: Toronto data was reported at 124.567 2007=100 in 2017. This records an increase from the previous number of 122.433 2007=100 for 2016. Canada Construction Union Wage Rate Index: Annual: Toronto data is updated yearly, averaging 82.517 2007=100 from Dec 1971 (Median) to 2017, with 47 observations. The data reached an all-time high of 124.567 2007=100 in 2017 and a record low of 18.342 2007=100 in 1971. Canada Construction Union Wage Rate Index: Annual: Toronto data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.G045: Union Wage Rate Index: Construction: 2007=100.

Canada Construction Union Wage Rate Index: Annual: St John's data was reported at 158.450 2007=100 in 2017. This records an increase from the previous number of 158.300 2007=100 for 2016. Canada Construction Union Wage Rate Index: Annual: St John's data is updated yearly, averaging 77.858 2007=100 from Dec 1971 (Median) to 2017, with 47 observations. The data reached an all-time high of 158.450 2007=100 in 2017 and a record low of 14.425 2007=100 in 1971. Canada Construction Union Wage Rate Index: Annual: St John's data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.G045: Union Wage Rate Index: Construction: 2007=100.

Graph and download economic data for Labor Compensation: Earnings: Manufacturing: Hourly for Sweden (LCEAMN01SEA189N) from 1971 to 2022 about Sweden, compensation, earnings, hours, and manufacturing.

Graph and download economic data for Hourly Earnings: Earnings: Economic Activity: Manufacturing: Total Economy for Sweden (SWEHOUREAAISMEI) from 1971 to 2024 about Sweden, earnings, hours, and manufacturing.