Wages in Germany increased 1.20 percent in March of 2025 over the same month in the previous year. This dataset provides the latest reported value for - Germany Wage Growth - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

In May 2025, real wages in Japan decreased by *** percent compared to the same month of 2024, according to preliminary figures. Since 2023, the sharpest decline in real wages of establishments with five or more employees was recorded in January 2023 at *** percent.

Graph and download economic data for Average Hourly Earnings of Production and Nonsupervisory Employees, Total Private (AHETPI) from Jan 1964 to May 2025 about nonsupervisory, headline figure, earnings, average, establishment survey, hours, wages, production, private, employment, and USA.

Wages in the United States increased to 31.24 USD/Hour in June from 31.15 USD/Hour in May of 2025. This dataset provides - United States Average Hourly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Using micro-data on six surveys–the Gallup World Poll 2005–2023, the U.S. Behavioral Risk Factor Surveillance System, 1993–2022, Eurobarometer 1991–2022, the UK Covid Social Survey Panel, 2020–2022, the European Social Survey 2002–2020 and the IPSOS Happiness Survey 2018–2023 –we show individuals’ reports of subjective wellbeing in Europe declined in the Great Recession of 2008/9 and during the Covid pandemic of 2020–2021 on most measures. They also declined in four countries bordering Ukraine after the Russian invasion in 2022. However, the movements are not large and are not apparent everywhere. We also used data from the European Commission’s Business and Consumer Surveys on people’s expectations of life in general, their financial situation and the economic and employment situation in the country. All of these dropped markedly in the Great Recession and during Covid, but bounced back quickly, as did firms’ expectations of the economy and the labor market. Neither the annual data from the United Nation’s Human Development Index (HDI) nor data used in the World Happiness Report from the Gallup World Poll shifted much in response to negative shocks. The HDI has been rising in the last decade reflecting overall improvements in economic and social wellbeing, captured in part by real earnings growth, although it fell slightly after 2020 as life expectancy dipped. This secular improvement is mirrored in life satisfaction which has been rising in the last decade. However, so too have negative affect in Europe and despair in the United States.

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.

Real Wages Index: NW: Leningrad Region data was reported at 112.000 Prev Year=100 in 2024. This records an increase from the previous number of 108.200 Prev Year=100 for 2023. Real Wages Index: NW: Leningrad Region data is updated yearly, averaging 105.100 Prev Year=100 from Dec 1994 (Median) to 2024, with 31 observations. The data reached an all-time high of 120.700 Prev Year=100 in 2001 and a record low of 80.400 Prev Year=100 in 1995. Real Wages Index: NW: Leningrad Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Demographic and Labour Market – Table RU.GC022: Real Wages Index: Previous Year=100: by Region.

Wages in Japan increased 1 percent in May of 2025 over the same month in the previous year. This dataset provides - Japan Wage Growth- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Real Wages Index: Volga Region Federal District (VR) data was reported at 111.300 Prev Year=100 in 2024. This records an increase from the previous number of 110.900 Prev Year=100 for 2023. Real Wages Index: Volga Region Federal District (VR) data is updated yearly, averaging 105.650 Prev Year=100 from Dec 2001 (Median) to 2024, with 24 observations. The data reached an all-time high of 118.000 Prev Year=100 in 2001 and a record low of 91.000 Prev Year=100 in 2015. Real Wages Index: Volga Region Federal District (VR) data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Demographic and Labour Market – Table RU.GC022: Real Wages Index: Previous Year=100: by Region.

Average hourly and weekly wage rate, and median hourly and weekly wage rate by North American Industry Classification System (NAICS), type of work, gender, and age group.

Average Real Wages: Actual Earnings: Bahia: Domestic Worker data was reported at 586.000 BRL in Mar 2019. This records a decrease from the previous number of 594.000 BRL for Dec 2018. Average Real Wages: Actual Earnings: Bahia: Domestic Worker data is updated quarterly, averaging 533.000 BRL from Mar 2012 (Median) to Mar 2019, with 29 observations. The data reached an all-time high of 622.000 BRL in Mar 2016 and a record low of 480.000 BRL in Jun 2012. Average Real Wages: Actual Earnings: Bahia: Domestic Worker data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Labour Market – Table BR.GBD004: Continuous National Household Sample Survey: Average Real Wages: Actual Earnings.

Graph and download economic data for Real Personal Income for Buffalo-Cheektowaga-Niagara Falls, NY (MSA) (RPI15380) from 2008 to 2023 about Buffalo, personal income, NY, personal, income, real, and USA.

Costa Rica is the country with the highest minimum monthly wage in Latin America. According to the minimum salary established by law as of January 2025, workers in the Central American country enjoy a basic monthly wage of over 726 U.S. dollars, an increase of 2.37 percent compared to the previous year. They also earn over 200 U.S. dollars more than the second place, Uruguay. On the other side of the spectrum is Venezuela, where employees are only guaranteed by law a minimum salary of 130 bolívares or little more than 2.50 dollars per month. Can Latin Americans survive on a minimum wage? Even if most countries in Latin America have instated laws to guarantee citizens a basic income, these minimum standards are often not enough to meet household needs. For instance, it was estimated that almost 25 million people in Mexico lacked basic housing services. Salary levels also vary greatly among Latin American economies. In 2020, the average net monthly salary in Mexico was barely higher than Chile's minimum wage in 2021. What can a minimum wage afford in Latin America? Latin American real wages have generally risen in the past decade. However, consumers in this region still struggle to afford non-basic goods, such as tech products. Recent estimates reveal that, in order to buy an iPhone, Brazilian residents would have to work at least two months to be able to pay for it. A gaming console, on the other hand, could easily cost a Latin American worker several minimum wages.

Data supporting the chapter "The Role of Real Wages, Productivity, and Fiscal Policy in Germany’s Great Depression, 1928-37."

Average Real Wages: Actual Earnings: Bahia: Employers data was reported at 3,525.000 BRL in Mar 2019. This records a decrease from the previous number of 4,282.000 BRL for Dec 2018. Average Real Wages: Actual Earnings: Bahia: Employers data is updated quarterly, averaging 4,080.000 BRL from Mar 2012 (Median) to Mar 2019, with 29 observations. The data reached an all-time high of 5,077.000 BRL in Dec 2017 and a record low of 3,237.000 BRL in Dec 2015. Average Real Wages: Actual Earnings: Bahia: Employers data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Labour Market – Table BR.GBD004: Continuous National Household Sample Survey: Average Real Wages: Actual Earnings.

Average Real Wages: Actual Earnings: Acre: Government Sector data was reported at 4,158.000 BRL in Mar 2019. This records an increase from the previous number of 3,374.000 BRL for Dec 2018. Average Real Wages: Actual Earnings: Acre: Government Sector data is updated quarterly, averaging 3,131.000 BRL from Mar 2012 (Median) to Mar 2019, with 29 observations. The data reached an all-time high of 4,158.000 BRL in Mar 2019 and a record low of 2,782.000 BRL in Sep 2015. Average Real Wages: Actual Earnings: Acre: Government Sector data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Labour Market – Table BR.GBD004: Continuous National Household Sample Survey: Average Real Wages: Actual Earnings.

Average Real Wages: Usual Earnings: MoM: Employed: Total data was reported at -0.400 % in Apr 2019. This records a decrease from the previous number of 0.700 % for Mar 2019. Average Real Wages: Usual Earnings: MoM: Employed: Total data is updated monthly, averaging 0.100 % from Jun 2012 (Median) to Apr 2019, with 83 observations. The data reached an all-time high of 2.200 % in Oct 2014 and a record low of -3.100 % in Jul 2014. Average Real Wages: Usual Earnings: MoM: Employed: Total data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Labour Market – Table BR.GBD005: Continuous National Household Sample Survey: Average Real Wages: Usual Earnings: by Activities.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Fall Lake township. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Fall Lake township, the median income for all workers aged 15 years and older, regardless of work hours, was $55,909 for males and $34,750 for females.

These income figures highlight a substantial gender-based income gap in Fall Lake township. Women, regardless of work hours, earn 62 cents for each dollar earned by men. This significant gender pay gap, approximately 38%, underscores concerning gender-based income inequality in the township of Fall Lake township.

- Full-time workers, aged 15 years and older: In Fall Lake township, among full-time, year-round workers aged 15 years and older, males earned a median income of $85,417, while females earned $60,000, leading to a 30% gender pay gap among full-time workers. This illustrates that women earn 70 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in Fall Lake township.

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.

Gender classifications include:

• Male
• Female

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.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 Fall Lake township median household income by race. You can refer the same here

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Fall Creek. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Fall Creek, the median income for all workers aged 15 years and older, regardless of work hours, was $42,452 for males and $28,973 for females.

These income figures highlight a substantial gender-based income gap in Fall Creek. Women, regardless of work hours, earn 68 cents for each dollar earned by men. This significant gender pay gap, approximately 32%, underscores concerning gender-based income inequality in the village of Fall Creek.

- Full-time workers, aged 15 years and older: In Fall Creek, among full-time, year-round workers aged 15 years and older, males earned a median income of $55,882, while females earned $45,650, leading to a 18% gender pay gap among full-time workers. This illustrates that women earn 82 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in Fall Creek.

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.

Gender classifications include:

• Male
• Female

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.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 Fall Creek median household income by race. You can refer the same here

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Island Falls town. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Island Falls town, the median income for all workers aged 15 years and older, regardless of work hours, was $42,121 for males and $30,147 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 28% between the median incomes of males and females in Island Falls town. With women, regardless of work hours, earning 72 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thetown of Island Falls town.

- Full-time workers, aged 15 years and older: In Island Falls town, among full-time, year-round workers aged 15 years and older, males earned a median income of $67,321, while females earned $64,167, resulting in a 5% gender pay gap among full-time workers. This illustrates that women earn 95 cents for each dollar earned by men in full-time positions. While this gap shows a trend where women are inching closer to wage parity with men, it also exhibits a noticeable income difference for women working full-time in the town of Island Falls town.

Interestingly, when analyzing income across all roles, including non-full-time employment, the gender pay gap percentage was higher for women compared to men. It appears that full-time employment presents a more favorable income scenario for women compared to other employment patterns in Island Falls town.

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.

Gender classifications include:

• Male
• Female

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.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 Island Falls town median household income by race. You can refer the same here