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.

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)

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.

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.

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.

United States Household Income: $150,000 to $199,999 data was reported at 7.000 % in 2017. This records an increase from the previous number of 6.800 % for 2016. United States Household Income: $150,000 to $199,999 data is updated yearly, averaging 4.500 % from Mar 1967 (Median) to 2017, with 51 observations. The data reached an all-time high of 7.000 % in 2017 and a record low of 1.500 % in 1968. United States Household Income: $150,000 to $199,999 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 Real Mean Family Income in Midwest Census Region (MAFAINUSMWA672N) from 1967 to 2023 about Midwest Census Region, family, average, income, real, and USA.

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.

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.

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 Lincoln County. 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 Lincoln County, the median income for all workers aged 15 years and older, regardless of work hours, was $30,616 for males and $20,442 for females.

These income figures highlight a substantial gender-based income gap in Lincoln County. 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 county of Lincoln County.

- Full-time workers, aged 15 years and older: In Lincoln County, among full-time, year-round workers aged 15 years and older, males earned a median income of $61,907, while females earned $41,774, 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 Lincoln County, 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 Lincoln County median household income by race. You can refer the same here

Table CA25 contains estimates of employment in Standard Industrial Classification (SIC) Division ("one-digit") detail. Employment is measured as the average annual number of jobs, full-time plus part-time; each job that a person holds is counted at full weight. The estimates are largely by place of work. The estimates are organized both by type— wage and salary employment and self-employment— and by industry. The series by industry is for the combination of the two types of employment. These employment estimates correspond closely to the earnings estimates presented in Table CA05; however, the earnings estimates include the income of limited partnerships and of tax-exempt cooperatives, for which there are no corresponding employment estimates. The source data for BEA's wage and salary employment estimates are mainly from the ES-202 series of the Bureau of Labor Statistics. The ES-202 series provides monthly employment and quarterly wages for each State and county in SIC four-digit detail. BEA restricts its release of local area estimates of wage and salary employment to the SIC Division ("one-digit") level because self-employment is estimated—- based mainly on data tabulated from individual and partnership Federal individual income tax returns—- at that level. The estimates are suppressed in many individual cases, using BLS primary and secondary suppressions, in order to preclude the disclosure of information about individual employers.

Graph and download economic data for Real Mean Family Income in Northeast Census Region (MAFAINUSNEA672N) from 1967 to 2023 about Northeast Census Region, family, average, income, real, 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 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

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 Long Beach. 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 Long Beach, the median income for all workers aged 15 years and older, regardless of work hours, was $44,199 for males and $29,618 for females.

These income figures highlight a substantial gender-based income gap in Long Beach. 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 city of Long Beach.

- Full-time workers, aged 15 years and older: In Long Beach, among full-time, year-round workers aged 15 years and older, males earned a median income of $67,431, while females earned $45,511, 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 Long Beach, 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 Long Beach 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 Mount Croghan. 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 Mount Croghan, the median income for all workers aged 15 years and older, regardless of work hours, was $39,453 for males and $13,106 for females.

These income figures highlight a substantial gender-based income gap in Mount Croghan. 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 Mount Croghan.

- Full-time workers, aged 15 years and older: In Mount Croghan, among full-time, year-round workers aged 15 years and older, males earned a median income of $58,099, while females earned $39,183, 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 Mount Croghan, showcasing a consistent income pattern irrespective of employment status.

https://i.neilsberg.com/ch/mount-croghan-sc-income-by-gender.jpeg" alt="Mount Croghan, SC 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 Mount Croghan median household income by gender. You can refer the same here

Graph and download economic data for Consumer Price Index for All Urban Wage Earners and Clerical Workers: Other Services in U.S. City Average (CWSR0000SAS367) from Jan 1967 to Feb 2025 about clerical workers, urban, wages, services, CPI, inflation, price index, indexes, price, 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 Perrysville. 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 Perrysville, the median income for all workers aged 15 years and older, regardless of work hours, was $31,482 for males and $21,191 for females.

These income figures highlight a substantial gender-based income gap in Perrysville. 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 Perrysville.

- Full-time workers, aged 15 years and older: In Perrysville, among full-time, year-round workers aged 15 years and older, males earned a median income of $44,812, while females earned $30,176, 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 Perrysville, showcasing a consistent income pattern irrespective of employment status.

https://i.neilsberg.com/ch/perrysville-oh-income-by-gender.jpeg" alt="Perrysville, OH 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 Perrysville median household income by gender. You can refer the same here

Graph and download economic data for Consumer Price Index for All Urban Wage Earners and Clerical Workers: Medical Care Commodities in U.S. City Average (CWSR0000SAM1) from Jan 1967 to Feb 2025 about clerical workers, medical, urban, wages, CPI, commodities, inflation, price index, indexes, price, and USA.

Graph and download economic data for Consumer Price Index for All Urban Wage Earners and Clerical Workers: Other Food at Home in U.S. City Average (CWSR0000SAF115) from Jan 1967 to Feb 2025 about clerical workers, urban, food, wages, CPI, housing, inflation, price index, indexes, price, and USA.