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) In der Studie werden aus verschiedenen Quellen die Wachstumsraten des Durchschnittslohns seit 1850 dargestellt, und zwar - die Wachstumsrate des jährlichen durchschnittlichen Arbeitseinkommens von 1850 bis 1951 (nach Walther G. Hoffmann), - die Wachstumsrate der durchschnittlichen Bruttoarbeitsentgelte nach der Sozialversicherung, - die Wachstumsrate der Brutto-Stundenverdienste der Industriearbeiter und - die Wachstumsrate des durchschnittlichen Lohneinkommens (nach D. Schewe/K. Nordhorn, H.J. Müller und R. Skiba). Die auf der Hoffmannschen Untersuchung fußende Berechnung der Wachstumsrate des durchschnittlichen Lohneinkommens lässt für die Zeit vor 1870 keinen durchgehenden langfristigen Trend erkennen. In den fünfziger Jahren zeigt sich ein deutlicher Anstieg auf fast 4%. Besonders starke Schwankungen nach oben und nach unten ergeben sich in den siebziger Jahren. Mit Beginn der achtziger Jahre setzt dann ein langfristig ansteigender Trend ein. Zwischen 1930 und 1935 weist die Lohnwachstumsrate negative Werte auf. In der Zeit von 1920 bis 1967 kann ein langfristig steigender Trend der Lohnwachstumsrate von der Mitte der dreißiger Jahre bis 1967 festgestellt werden (sieht man einmal von der Krisenzeit um 1930 und die ersten 6 Jahre nach dem Zweiten Weltkrieg ab). In dieser Zeit ist die Lohnwachstumsrate von rund 5% auf rund 8% gestiegen. Die durchschnittliche Wachstumsrate ab 1951 liegt bei rund 7,5%. Themen Daten im Recherche- und 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)

Graph and download economic data for Consumer Price Index for All Urban Wage Earners and Clerical Workers: Other Goods and Services in U.S. City Average (CWSR0000SAG) from Jan 1967 to Aug 2025 about clerical workers, urban, wages, goods, services, CPI, inflation, price index, indexes, price, and USA.

The national gross income per capita in El Salvador was 4,960 U.S. dollars in 2023. Between 1967 and 2023, the national gross income rose by 4,660 U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend.

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.

Abstract copyright UK Data Service and data collection copyright owner.This machine-readable version of John Williams' Digest of Welsh Historical Statistics is the result of a collaboration between the Statistical Directorate of the National Assembly for Wales, the History Data Service and the Centre for Data Digitisation and Analysis at Queen's University Belfast. John Williams' Digest of Welsh Historical Statistics is intended to provide a service for those working on the history of modern Wales. It arises from a belief that the quantitative element is a necessary and important part of the historical record; from an awareness that it was an aspect that was particularly inaccessible for scholars of Welsh history; and from a conviction that some encouragement in the use of quantitative material was necessary. It is modelled on the two volumes dedicated to British historical statistics: Mitchell, B.R. and Deane, P. (1962) Abstract of British historical statistics and Mitchell, B.R. and Jones, H.G. (1971) Second abstract of British historical statistics. Main Topics: The main tables are: Coal. Percentage changes in wage rates of miners, South Wales, 1848-1939. Coal. Average earnings, 1840-1974 Agriculture. Nominal weekly wages 1788-1882; average weekly earnings by county 1867-1917; minimum rates by county 1918-1939; weekly earnings and hours 1967-1957. Police. Maximum and minimum rates of pay of police constables by county, 1902-1914. Building. Hours and rates per hour in the building trade, main towns, 186-1914 and 1936. Engineering and ship-repairing. Rates for different trades, main ports, 1873-1968. Rates of pay and hours for printing trades, main towns, 1850-1968; and for cabinet makers 1901-1914. Average weekly and hourly earnings, and average hours for manual workers over 20 in manufacturing, all industries an d selected individual industries, 1960-1975. Household income and expenditure, Wales and UK, 1953-1954 and 1961-1973. Proportion of households possessing certain amenities, Wales and UK, 1964-1973. Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research.

In der Studie werden aus verschiedenen Quellen die Wachstumsraten des Durchschnittslohns seit 1850 dargestellt, und zwar - die Wachstumsrate des jährlichen durchschnittlichen Arbeitseinkommens von 1850 bis 1951 (nach Walther G. Hoffmann), - die Wachstumsrate der durchschnittlichen Bruttoarbeitsentgelte nach der Sozialversicherung, - die Wachstumsrate der Brutto-Stundenverdienste der Industriearbeiter und - die Wachstumsrate des durchschnittlichen Lohneinkommens (nach D. Schewe/K. Nordhorn, H.J. Müller und R. Skiba).

Die auf der Hoffmannschen Untersuchung fußende Berechnung der Wachstumsrate des durchschnittlichen Lohneinkommens lässt für die Zeit vor 1870 keinen durchgehenden langfristigen Trend erkennen. In den fünfziger Jahren zeigt sich ein deutlicher Anstieg auf fast 4%. Besonders starke Schwankungen nach oben und nach unten ergeben sich in den siebziger Jahren. Mit Beginn der achtziger Jahre setzt dann ein langfristig ansteigender Trend ein. Zwischen 1930 und 1935 weist die Lohnwachstumsrate negative Werte auf. In der Zeit von 1920 bis 1967 kann ein langfristig steigender Trend der Lohnwachstumsrate von der Mitte der dreißiger Jahre bis 1967 festgestellt werden (sieht man einmal von der Krisenzeit um 1930 und die ersten 6 Jahre nach dem Zweiten Weltkrieg ab). In dieser Zeit ist die Lohnwachstumsrate von rund 5% auf rund 8% gestiegen. Die durchschnittliche Wachstumsrate ab 1951 liegt bei rund 7,5%.

Themen

Daten im Recherche- und 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 - 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 September of 2025.

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.

Information on net earnings (net pay taken home, in absolute figures) and related tax-benefit rates (in %) complements gross earnings data with respect to disposable earnings. The transition from gross to net earnings requires the deduction of income taxes and employee's social security contributions from the gross amounts and the addition of family allowances, if appropriate.

The amount of these components and therefore the ratio of net to gross earnings depend on the individual situation. A number of different family situations are considered, all referring to an average worker. Differences exist with respect to the number of workers/earners (only in the case of couples), number of dependent children, and level of gross earnings, expressed as a percentage of the gross earnings of an average worker (AW).

All the data are based on a widely acknowledged model developed by the OECD, where figures are obtained from national sources (for further details on data providers, see the national contact list in Annex).

The collection contains, for selected situations, data for the following variables and indicators :
a) gross and net earnings, including the transition components "income taxes", "employee's social security contributions" and "family allowances", if appropriate;
b) tax rate, defined as the income tax on gross wage earnings plus the employee's social security contributions less universal cash benefits, expressed as a percentage of gross wage earnings;
c) tax wedge on labour costs, defined as income tax on gross wage earnings plus the employee's and the employer's social security contributions, expressed as a percentage of the total labour costs of the earner. The total labour costs of the earner are defined as his/her gross earnings plus the employer's social security contributions plus payroll taxes (where applicable). The tax wedge on labour costs structural indicator is available only for single persons without children earning 67% of the AW.
d) unemployment trap, measuring the percentage of gross earnings which is taxed away through higher tax and social security contributions and the withdrawal of unemployment, and other, benefits when an unemployed person returns to employment. This structural indicator is available only for single persons without children earning 67% of the AW when in work.
e) low wage trap, measuring the percentage of gross earnings which is taxed away through the combined effects of income taxes, social security contributions and any withdrawal of benefits when gross earnings increase from 33% to 67% of AW. This structural indicator is available for single persons without children and one-earner couples with two children.

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 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

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 Daisetta. 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 Daisetta, the median income for all workers aged 15 years and older, regardless of work hours, was $45,627 for males and $15,258 for females.

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

- Full-time workers, aged 15 years and older: In Daisetta, among full-time, year-round workers aged 15 years and older, males earned a median income of $54,927, while females earned $36,751, 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 Daisetta, showcasing a consistent income pattern irrespective of employment status.

https://i.neilsberg.com/ch/daisetta-tx-income-by-gender.jpeg" alt="Daisetta, TX 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 Daisetta median household income by gender. You can refer the same here

Graph and download economic data for Mean Family Income in South Census Region (MAFAINUSSOA646N) from 1967 to 2024 about South Census Region, family, average, income, and USA.

Graph and download economic data for Real Mean Family Income in West Census Region (MAFAINUSWEA672N) from 1967 to 2024 about West Census Region, family, average, income, real, and USA.

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.

Graph and download economic data for Mean Family Income in Northeast Census Region (MAFAINUSNEA646N) from 1967 to 2024 about Northeast Census Region, family, average, income, and USA.

Graph and download economic data for Mean Family Income in West Census Region (MAFAINUSWEA646N) from 1967 to 2024 about West Census Region, family, average, income, and USA.

Graph and download economic data for Consumer Price Index for All Urban Wage Earners and Clerical Workers: Housing in U.S. City Average (CWUR0000SAH) from Jan 1967 to Aug 2025 about clerical workers, urban, wages, CPI, housing, inflation, price index, indexes, price, and USA.