This graph shows average wages around the world in 2012 as calculated by purchasing power parity. In 2012 the highest average wage was earned in Luxembourg at 4,089 purchasing power parity dollars. Wages and salaries Wages and salaries in the United States have increased during the last decades. The median weekly earnings of a full-time wage and salary worker were about 241 U.S. dollars in 1979 and shifted up to 768 U.S. dollars in 2012.

The median earnings of U.S. full-time wage and salary workers vary across their educational attainment. The highest paid workers are those who hold a bachelor’s degree, according to the U.S. Bureau of Labor Statistics.

The U.S. federal government specified minimum wage laws for workers in the United States, which say that workers must be paid no less than the current federal minimum wage. The minimum wage was set at 7.25 U.S. dollars per hour by federal law. The actual minimum wage varies from state to state, as some states have additional minimum wage laws.

For instance, the minimum wage in Washington was around 9.04 U.S. dollars per hour, while the worst minimum wage can be found in Georgia, where workers earn at least 5.15 U.S. dollars per hour. No minimum wages can be found in Tennessee, Alabama, Louisiana, South Carolina and Mississippi, as of January 1, 2012.

The number of workers paid hourly rates with earnings at or below the minimum wage in the U.S. was at its highest in the industry type of leisure and hospitality in 2013.

Recent statistics show that the share of female workers paid hourly rates at or below prevailing federal minimum wage in the United States decreased since 1979. In that year, 20.2 percent of the female wage and salary workers were paid below the federal minimum wage, while only 2.9 percent of the female workers were paid below the federal minimum wage in 2006.

Luxembourg had the highest average monthly salary of employees in the world in 2024 in terms of purchasing power parities (PPP), which takes the average cost of living in a country into account. Belgium followed in second, with the Netherlands in third.

Uruguay was the Latin American country with the highest average monthly salary as of 2024, with a net value of around 1,088 U.S. dollars per month, followed by Costa Rica, with 947 U.S. dollars per month. Employment development areas in Latin America Following the recuperation in this sector after the job losses endured throughout the COVID-19 pandemic, the unemployment rate persists in its endeavor to stabilize. Informal employment remains as the predominant actor across most Latin American countries, serving as a primary avenue for economic sustenance. Notably, the construction sector has experienced substantial growth, outpacing other relevant industries like tourism and hospitality. Poverty Throughout the past two decades, poverty levels in Latin America remain unchanged. Honduras takes the lead as the country bearing the highest poverty rate, with nearly half of its population dwelling in these circumstances. Across the region, the prevalent delineation is that of individuals classified within the non-extreme and lower-middle poverty strata, characterized by modest income levels.

Average net earnings in the European Union was 26,136 Euros for a single person with no children in 2022, while for a couple with children who both worked it was 55,573 Euros. Among countries in Europe, Switzerland was the country with the highest net earnings in 2022, followed by Iceland, Luxembourg, and Norway. The lowest net earnings were found in Bulgaria and Romania, where a single person without children earned on average less than 9,000 Euros in 2022.

Key information about United States Monthly Earnings

• United States Monthly Earnings stood at 4,901 USD in Feb 2025, compared with the previous figure of 4,887 USD in Jan 2025
• US Monthly Earnings data is updated monthly, available from Mar 2006 to Feb 2025, with an average number of 3,469 USD
• The data reached the an all-time high of 4,901 USD in Feb 2025 and a record low of 2,743 USD in Mar 2006

CEIC calculates Monthly Earnings from Average Weekly Earnings multiplied by 4. U.S. Bureau of Labor Statistics provides Average Weekly Earnings in USD. Monthly Earnings include Private Non Agricultural sector only.


Further information about United States Monthly Earnings

• In the latest reports, US Population reached 341 million people in Dec 2024
• Unemployment Rate of US increased to 4 % in Feb 2025
• The country's Labour Force Participation Rate remained the same rate at 62 % in Feb 2025

Wages in China increased to 120698 CNY/Year in 2023 from 114029 CNY/Year in 2022. This dataset provides - China Average Yearly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The average for 2021 based on 71 countries was 27.53 percent. The highest value was in Colombia: 43.7 percent and the lowest value was in Slovakia: 19.1 percent. The indicator is available from 1963 to 2023. Below is a chart for all countries where data are available.

Of the seven largest developed economies, in 2023, the United States had the highest average wage by a significant margin at over 77,000 U.S. dollars per year. Canada had the second highest annual average wages, followed by Germany. Meanwhile, Japan had the lowest average wages out of the seven largest developed economies.

Key information about China Monthly Earnings

• China Monthly Earnings stood at 1,392 USD in Dec 2023, compared with the previous figure of 1,336 USD in Dec 2022
• China Monthly Earnings data is updated quarterly, available from Mar 2000 to Dec 2023, with an average number of 349 USD
• The data reached the an all-time high of 1,393 USD in Dec 2021 and a record low of 83 USD in Jun 2000

CEIC calculates Monthly Earnings from quarterly Earnings divided by 3 and converts it into USD. The National Bureau of Statistics provides year-to-date Average Wage in local currency. Federal Reserve Board average market exchange rate is used for currency conversions. Monthly Earnings cover urban population only.


Further information about China Monthly Earnings

• In the latest reports, China Population reached 1,410 million people in Dec 2023
• Unemployment Rate of China dropped to 5 % in Jun 2024
• The country's Labour Force Participation Rate dropped to 66 % in Dec 2023

This statistic illustrates the average wage per month in select countries in 2017 and with a projection to 2040. In 2040, it is estimated that the average monthly wage in the United States will be 4,820 U.S. dollars, an increase from 3,970 U.S. dollars in 2017.

Average Monthly Net Wage: Semiannually: Rural: West Java data was reported at 2,132,407.000 IDR in Feb 2019. This records a decrease from the previous number of 2,285,376.000 IDR for Aug 2018. Average Monthly Net Wage: Semiannually: Rural: West Java data is updated semiannually, averaging 1,265,332.000 IDR from Feb 2008 (Median) to Feb 2019, with 23 observations. The data reached an all-time high of 2,285,376.000 IDR in Aug 2018 and a record low of 879,977.000 IDR in Feb 2008. Average Monthly Net Wage: Semiannually: Rural: West Java data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Indonesia Premium Database’s Labour Market – Table ID.GBB006: Monthly Average Wage: Net: by Province.

This dataset provides values for HOUSEHOLDS DEBT TO INCOME reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

As of 2023, Rwanda had the lowest average monthly salary of employees in the world in terms of purchasing power parities (PPP), which takes the average cost of living in a country into account. Gambia had the second lowest average wages, with Ethiopia in third. Of the 20 countries with the lowest average salaries in the world, 17 were located in Africa. On the other hand, Luxembourg had the highest average monthly salaries of employees.

Wages in Lithuania increased to 2335.90 EUR/Month in the fourth quarter of 2024 from 2237.90 EUR/Month in the third quarter of 2024. This dataset provides - Lithuania Average Monthly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Key information about Indonesia Monthly Earnings

• Indonesia Monthly Earnings stood at 187 USD in Dec 2024, compared with the previous figure of 190 USD in Dec 2023
• Indonesia Monthly Earnings data is updated yearly, available from Dec 1991 to Dec 2024, with an average number of 103 USD
• The data reached the an all-time high of 192 USD in Dec 2022 and a record low of 34 USD in Dec 1998

CEIC shifts year-end for annual Monthly Earnings. CEIC converts Monthly Earnings into USD. Statistics Indonesia provides Monthly Average Wage in local currency. The Bank of Indonesia average market exchange rate is used for currency conversions. Monthly Earnings are reported in annual frequency, ending in August of each year.


Further information about Indonesia Monthly Earnings

• In the latest reports, Indonesia Population reached 275 million people in Dec 2022
• Unemployment Rate of Indonesia dropped to 5 % in Aug 2024
• The country's Labour Force Participation Rate increased to 71 % in Aug 2024

China Average Wage: Manufacturing data was reported at 58,049.000 RMB in 2017. This records an increase from the previous number of 54,338.000 RMB for 2016. China Average Wage: Manufacturing data is updated yearly, averaging 50,684.000 RMB from Dec 2013 (Median) to 2017, with 5 observations. The data reached an all-time high of 58,049.000 RMB in 2017 and a record low of 42,911.000 RMB in 2013. China Average Wage: Manufacturing 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: by Industry.

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 Country Club. 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 Country Club, the median income for all workers aged 15 years and older, regardless of work hours, was $48,924 for males and $29,987 for females.

These income figures highlight a substantial gender-based income gap in Country Club. Women, regardless of work hours, earn 61 cents for each dollar earned by men. This significant gender pay gap, approximately 39%, underscores concerning gender-based income inequality in the village of Country Club.

- Full-time workers, aged 15 years and older: In Country Club, among full-time, year-round workers aged 15 years and older, males earned a median income of $62,422, while females earned $49,044, leading to a 21% gender pay gap among full-time workers. This illustrates that women earn 79 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 Country Club.

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 Country Club median household income by race. You can refer the same here

About this dataset

Context

The dataset presents the median household income across different racial categories in Country Club. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Country Club population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 87.01% of the total residents in Country Club. Notably, the median household income for White households is $81,932. Interestingly, despite the White population being the most populous, it is worth noting that Two or More Races households actually reports the highest median household income, with a median income of $145,089. This reveals that, while Whites may be the most numerous in Country Club, Two or More Races households experience greater economic prosperity in terms of median household income.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Country Club.
• Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

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 Country Club median household income by race. You can refer the same here

About this dataset

Context

The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Country Life Acres. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

• White: In Country Life Acres, the median household income for the households where the householder is White decreased by $78,436(23.88%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $328,437 in 2013 and $250,001 in 2023.
• Black or African American: As per the U.S. Census Bureau population data, in Country Life Acres, there are no households where the householder is Black or African American; hence, the median household income for the Black or African American population is not applicable.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Country Life Acres.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• 2023: 2023 median household income
• Please note: All incomes have been adjusted for inflation and are presented in 2023-inflation-adjusted dollars.

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 Country Life Acres 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 Hill Country Village. 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 Hill Country Village, the median income for all workers aged 15 years and older, regardless of work hours, was $149,375 for males and $51,750 for females.

These income figures highlight a substantial gender-based income gap in Hill Country Village. Women, regardless of work hours, earn 35 cents for each dollar earned by men. This significant gender pay gap, approximately 65%, underscores concerning gender-based income inequality in the city of Hill Country Village.

- Full-time workers, aged 15 years and older: In Hill Country Village, among full-time, year-round workers aged 15 years and older, males earned a median income of $190,769, while females earned $70,250, leading to a 63% gender pay gap among full-time workers. This illustrates that women earn 37 cents for each dollar earned by men in full-time roles. This level of income gap emphasizes the urgency to address and rectify this ongoing disparity, where women, despite working full-time, face a more significant wage discrepancy compared to men in the same employment roles.

Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Hill Country Village, showcasing a consistent income pattern irrespective of employment status.

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 Hill Country Village median household income by race. You can refer the same here