In the U.S., median household income rose from 51,570 U.S. dollars in 1967 to 80,610 dollars in 2023. In terms of broad ethnic groups, Black Americans have consistently had the lowest median income in the given years, while Asian Americans have the highest; median income in Asian American households has typically been around double that of Black Americans.

This statistic shows the change in median adjusted household income by age of householder in the U.S. from 1967 to 2010. The median adjusted household income by age group 65 and older has increased by 109 percent, which is more than twice the rate at which the median household income, regardless of age, has increased.

Graph and download economic data for Mean Family Income in South Census Region (MAFAINUSSOA646N) from 1967 to 2023 about South Census Region, family, average, income, and USA.

United States Household Income: $100,000 to $149,999 data was reported at 14.500 % in 2017. This records an increase from the previous number of 14.400 % for 2016. United States Household Income: $100,000 to $149,999 data is updated yearly, averaging 13.100 % from Mar 1967 (Median) to 2017, with 51 observations. The data reached an all-time high of 15.000 % in 1999 and a record low of 6.500 % in 1967. United States Household Income: $100,000 to $149,999 data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.H049: Household Income: by Income Level.

Key information about Switzerland Monthly Earnings

• Switzerland Monthly Earnings stood at 6,641 USD in Dec 2023, compared with the previous figure of 6,117 USD in Dec 2022
• Switzerland Monthly Earnings data is updated yearly, available from Dec 1991 to Dec 2023, with an average number of 4,514 USD
• The data reached the an all-time high of 6,641 USD in Dec 2023 and a record low of 2,790 USD in Dec 1991

CEIC calculates Monthly Earnings from Gross Median Annual Earnings divided by 12 and converts it into USD. Swiss Federal Statistical Office provides Gross Median Annual Earnings in local currency. Federal Reserve Board average market exchange rate is used for currency conversions. Monthly Earnings include employees' earnings only and exclude self-employed persons, family workers and apprentices.


Further information about Switzerland Monthly Earnings

• In the latest reports, Switzerland Population reached 9 million people in Dec 2022
• Unemployment Rate of Switzerland dropped to 4 % in Mar 2024
• The country's Labour Force Participation Rate dropped to 67 % in Mar 2024

In this studiy a compilation of the average earnings growth rates since 1850 on the basis of different sources is given: the yearly growth-rates of average work-income from 1850 to 1951 (according to Walther G. Hoffmann), the growth rate of average gross compensation, growth rate of gross hourly earnings of industrial workers, growth rate of gross earnings ( according to D. Schewe/K. Nordhorn, H.J. Müller und R. Skiba).

Topics

Timeseries available via the downloadsystem HISTAT:

A.1 Die Wachstumsrate der Lohneinkommen im Deutschen Reich und in der Bundesrepublik Deutschland (1850-1959) B.1 Die Entwicklung der Wachstumsrate des durchschnittlichen Lohneinkommens im Deutschen Reich und in der Bundesrepublik Deutschland (1917-1967) B.2 Wachstumsrate der Lohneinkommen in der Bundesrepublik Deutschland (1951-1968)

During a 2024 survey, around 19 percent of the Cuban population had a monthly income lower than 67 U.S. dollars, and only 21 percent had an income higher than 417 USD. During that same survey, 61 percent of the respondents stated that they struggle to buy the necessary means to survive. Employment in Cuba Cuba has almost no unemployment at all. In 2022, the unemployment rate for the Caribbean country was 1.16 percent. In that year, over 74 percent of the workforce was estimated to be employees. However, most of them are employed in the public sector, as this segment employs nearly 62.4 percent of the entire labor force. Food insecurity Despite having almost all the entire workforce employed, the Cuban population faces many challenges. In a survey in 2024, 72 percent of the population claimed that the food crisis that the country faces is the main social problem, followed by salaries with 49 percent. The difficulty of accessing food is widespread, as one in two Cubans have admitted to gone without food at least one day in 2023.

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 Cloverdale. 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 Cloverdale, the median income for all workers aged 15 years and older, regardless of work hours, was $23,625 for males and $15,938 for females.

These income figures highlight a substantial gender-based income gap in Cloverdale. Women, regardless of work hours, earn 67 cents for each dollar earned by men. This significant gender pay gap, approximately 33%, underscores concerning gender-based income inequality in the village of Cloverdale.

- Full-time workers, aged 15 years and older: In Cloverdale, among full-time, year-round workers aged 15 years and older, males earned a median income of $88,125, while females earned $29,250, leading to a 67% gender pay gap among full-time workers. This illustrates that women earn 33 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 Cloverdale, 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 Cloverdale median household income by race. You can refer the same here

United States - Consumer Price Index for All Urban Wage Earners and Clerical Workers: Housing in U.S. City Average was 339.57900 Index 1982-84=100 in March of 2025, according to the United States Federal Reserve. Historically, United States - Consumer Price Index for All Urban Wage Earners and Clerical Workers: Housing in U.S. City Average reached a record high of 339.57900 in March of 2025 and a record low of 30.70000 in January of 1967. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Consumer Price Index for All Urban Wage Earners and Clerical Workers: Housing in U.S. City Average - last updated from the United States Federal Reserve on July of 2025.

United States Household Income: $200,000 & Over data was reported at 7.700 % in 2017. This records an increase from the previous number of 7.200 % for 2016. United States Household Income: $200,000 & Over data is updated yearly, averaging 3.400 % from Mar 1967 (Median) to 2017, with 51 observations. The data reached an all-time high of 7.700 % in 2017 and a record low of 1.000 % in 1968. United States Household Income: $200,000 & Over data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.H049: Household Income: by Income Level.

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 Ruby 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 Ruby town, the median income for all workers aged 15 years and older, regardless of work hours, was $55,591 for males and $18,462 for females.

These income figures highlight a substantial gender-based income gap in Ruby town. Women, regardless of work hours, earn 33 cents for each dollar earned by men. This significant gender pay gap, approximately 67%, underscores concerning gender-based income inequality in the town of Ruby town.

- Full-time workers, aged 15 years and older: In Ruby town, among full-time, year-round workers aged 15 years and older, males earned a median income of $49,464, while females earned $32,917, leading to a 33% gender pay gap among full-time workers. This illustrates that women earn 67 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 Ruby town, 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 Ruby town median household income by race. You can refer the same here

Graph and download economic data for Mean Family Income in Northeast Census Region (MAFAINUSNEA646N) from 1967 to 2023 about Northeast Census Region, family, average, income, and USA.

This collection was created by the United Nations from information collected from individual countries regarding their industrial production. The data are organized by country, industry type, and year. Variables include: number of establishments, average number of employees, wages and salaries, quantity of electricity consumed, output, cost of goods sold, value added, gross fixed capital formation, and value of stocks at end of period.

Graph and download economic data for Mean Family Income in Midwest Census Region (MAFAINUSMWA646N) from 1967 to 2023 about Midwest Census Region, family, average, income, and USA.

United States Household Income: $50,000 to $74,999 data was reported at 16.500 % in 2017. This records a decrease from the previous number of 16.900 % for 2016. United States Household Income: $50,000 to $74,999 data is updated yearly, averaging 18.900 % from Mar 1967 (Median) to 2017, with 51 observations. The data reached an all-time high of 24.600 % in 1968 and a record low of 16.500 % in 2017. United States Household Income: $50,000 to $74,999 data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.H049: Household Income: by Income Level.

United States Household Income: $75,000 to $99,999 data was reported at 12.500 % in 2017. This records an increase from the previous number of 12.200 % for 2016. United States Household Income: $75,000 to $99,999 data is updated yearly, averaging 13.100 % from Mar 1967 (Median) to 2017, with 51 observations. The data reached an all-time high of 14.600 % in 1979 and a record low of 11.600 % in 2014. United States Household Income: $75,000 to $99,999 data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.H049: Household Income: by Income Level.

Graph and download economic data for Consumer Price Index for All Urban Wage Earners and Clerical Workers: Other Services in U.S. City Average (CWUR0000SAS367) from Jan 1967 to May 2025 about clerical workers, urban, wages, services, CPI, inflation, price index, indexes, price, and USA.

Tunisia TN: GDP: USD: Gross National Income per Capita: Atlas Method data was reported at 3,500.000 USD in 2017. This records a decrease from the previous number of 3,690.000 USD for 2016. Tunisia TN: GDP: USD: Gross National Income per Capita: Atlas Method data is updated yearly, averaging 1,660.000 USD from Dec 1967 (Median) to 2017, with 51 observations. The data reached an all-time high of 4,130.000 USD in 2014 and a record low of 220.000 USD in 1967. Tunisia TN: GDP: USD: Gross National Income per Capita: Atlas Method data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tunisia – Table TN.World Bank.WDI: Gross Domestic Product: Nominal. GNI per capita (formerly GNP per capita) is the gross national income, converted to U.S. dollars using the World Bank Atlas method, divided by the midyear population. GNI is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. GNI, calculated in national currency, is usually converted to U.S. dollars at official exchange rates for comparisons across economies, although an alternative rate is used when the official exchange rate is judged to diverge by an exceptionally large margin from the rate actually applied in international transactions. To smooth fluctuations in prices and exchange rates, a special Atlas method of conversion is used by the World Bank. This applies a conversion factor that averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of inflation between the country, and through 2000, the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). From 2001, these countries include the Euro area, Japan, the United Kingdom, and the United States.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted average;

Graph and download economic data for Mean Family Income in West Census Region (MAFAINUSWEA646N) from 1967 to 2023 about West Census Region, family, average, income, and USA.

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 Halliday. 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 2021

Based on our analysis ACS 2017-2021 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Halliday, the median income for all workers aged 15 years and older, regardless of work hours, was $82,420 for males and $27,023 for females.

These income figures highlight a substantial gender-based income gap in Halliday. Women, regardless of work hours, earn 33 cents for each dollar earned by men. This significant gender pay gap, approximately 67%, underscores concerning gender-based income inequality in the city of Halliday.

- Full-time workers, aged 15 years and older: In Halliday, among full-time, year-round workers aged 15 years and older, males earned a median income of $117,802, while females earned $38,970, leading to a 67% gender pay gap among full-time workers. This illustrates that women earn 33 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 Halliday, showcasing a consistent income pattern irrespective of employment status.

https://i.neilsberg.com/ch/halliday-nd-income-by-gender.jpeg" alt="Halliday, ND gender based income disparity">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-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 2022
• 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 Halliday median household income by gender. You can refer the same here